The Relationship Between Job Satisfaction and Discipline Employee Work

By Bella Desi Kusumawardani & Sendi Satriadi

 

ABSTRACT

This study aims to determine the effect of the relationship between quality This study aims to analyze the relationship between job satisfaction and employee work discipline. The method used is a quantitative method with the subject of 130 operator employees or workers who directly hold the smooth running of machines in the company who work in production, maintenance, and utility, both men and women. The job satisfaction scale in this study was compiled based on aspects of job satisfaction according to Jewel and Siegall (1998) and the work discipline scale was prepared based on aspects of work discipline according to Amriyani (2004).  The data analysis technique used is Karl Pearson’s Product moment correlation with a bivariate correlation test. Based on the results of the analysis, an r of 0.301 was obtained with p < 0.05 which means that the hypothesis is accepted. The results show that there is a positive relationship between job satisfaction and employee discipline where the higher the employee's job satisfaction, the better the employee's work discipline and vice versa the lower the employee's job satisfaction, the worse the employee's work discipline.

 


 

Keywords : Job Satisfaction, Work Discipline, Employee

 

Background of the Problem

            In this era of globalization, many foreign companies invest their money or capital in Indonesia in the form of companies such as textiles, garments, residential property, and others. These companies compete with each other to produce the best quality so that buyers feel satisfied and the company gets a big profit and the company is looking for employees or employees who are experts in their fields. The number of companies that exist at this time many employees go in and out of one company to another, it is due to the lack of expertise they have, income that is not sufficient for their needs, work atmosphere that is not conducive or uncomfortable and so on. The element of human resources is needed and the most important thing in a company is human resources or employees because if there are no human resources then the company will not run smoothly and if the selection of human resources is not done correctly in selecting employees then the company will not achieve its targets and the goals set by the company can be achieved. According to Ayu (2012) in every company there is usually a separate section that manages the field of employment and is commonly referred to as the personnel section, therefore it is the task of the personnel section which is responsible from recruiting employees to development in improving the quality of work to the dismissal of employees.

Employees are company assets because if there are no employees, the goods to be produced will not be finished, therefore employees who are serious in working will produce good quality goods. According to Ayu (2012) labour or employees are very important resources. Without a skilled and professional workforce, it is impossible for company activities to run well and smoothly. This can be seen from the company’s activities in achieving goals depending on the role of the labour used.

            In every company all parts play an important role for the continuation of every job from one part to another is very influential and related, if one of the machines stops then the company cannot run smoothly as usual. There are several parts that are very important and influential in a company, namely the production section. For every company, production employees are a resource that is no less important than other company resources. In fact, production employees are in control of the production process. In other words, whether or not a production process runs smoothly will depend on the production employees (Muhaimin, 2004).

If an employee works with a pleasant feeling and there is satisfaction in him accompanied by a work environment, family friends and safe and comfortable facilities that he gets, the employee will work well. According to Siagian (in Widodo, 2015) argues that job satisfaction is a person’s perspective, both positive and negative about his job. The company will progress, develop rapidly and achieve the goals that have been set is greatly influenced by the quality of the people or employees who work in it.

To strengthen the evidence that there is a relationship between job satisfaction and employee work discipline, according to Muhaimin (2004), in a study conducted at PT Primarindo Asia Infrastructure Tbk Bandung, a company engaged in the production of goods in the form of shoes, and the results of the study there is a significant positive relationship between employee job satisfaction and employee work discipline of shawing computer operator employees in production. The higher the employee job satisfaction, the better the employee work discipline and vice versa the lower the employee job satisfaction, the worse the employee work discipline.

Employee job satisfaction is influenced by needs, how far these needs have been met or not met. Therefore, the author is interested in conducting a study entitled “The relationship between job satisfaction and employee discipline at PT Kondobo Textindo” in order to take more recent data and in a different place, namely at a textile company located in the Subang-West Java area with the same subject, namely operators, by taking random from several employees from each section, namely production, maintenance and utility.

 

Research objectives

 This study aims to examine the relationship between job satisfaction and employee discipline at PT Kondobo Textindo.

 

Definition of Job Satisfaction

Sutrisno (2009) states that job satisfaction is an employee’s attitude towards work related to work situations, cooperation between employees, rewards received at work, and matters concerning physical and psychological factors. This attitude towards work is the result of a number of specific attitudes of individuals and individual social relationships outside of work, giving rise to a general attitude of individuals towards the work they face.

 

Aspects of Job Satisfaction 

According to Jewell and Siegall (1998), there are several aspects in measuring job satisfaction: 

a.   Psychological aspects

Related to the psychology of employees including interest, work peace, attitude towards work, talent and skills.

b.  Physical aspects 

Related to the physical condition of the work environment and the physical condition of employees, including the type of work, work time arrangements, rest time arrangements, room conditions, air temperature, lighting, air exchange, employee health conditions and age. 

c.  Social aspects 

Relates to social interactions, both between fellow employees and superiors and between employees of different types of work and relationships with family members.

d.  Financial aspect

Relates to the security and welfare of employees, which includes the system and amount of salary, social security, benefits, facilities and promotions.

 

Definition of Work Discipline

According to Rivai (2004) work discipline is a tool used by managers to communicate with employees so that they are willing to change a behaviour and as an effort to increase a person’s awareness and willingness to obey all company regulations and applicable social norms.

 

Aspects of Work Discipline Measurement 

Amriyani (2004) concluded that the aspects of work discipline include: 

a.  Obedience to orders

Compliance occurs when a person does what he is told. 

b.  Working time

Working time as the period of time during which the worker concerned must be present to start work and he may leave work. 

c.  Compliance with rules

A set of rules that the group in the organisation has may be a pressure for a person or employee to comply.

d.  Careful use of uniforms or work tools

Every employee, especially in a work environment, receives a uniform every two years.

 

Definition of Employee

According to MacMillan (in Rachmawati, 2008) employees are people who are paid regularly to work for someone or a company.

Employees are people who have obligations and rights, which arise as a consequence of the employment relationship, namely the relationship between employees and employers or companies in terms of employment. Both parties have entered into an agreement to enter into an agreement, either written or oral, either individually or jointly regarding work according to Mulianto (2011).

 

The Relationship Between Job Satisfaction and Employee Work Discipline

According to Ayu (2012) labour or employees are very important resources. Without a skilled and professional workforce, it is impossible for company activities to run well and smoothly. This can be seen from the company’s activities in achieving goals that are highly dependent on the role of the workforce used.

 

Hypothesis

The hypothesis in this study is that there is a positive relationship between job satisfaction and employee discipline at PT Kondobo Textindo, the higher the job satisfaction, the higher the work discipline of employees and vice versa, the lower the job satisfaction, the lower the work discipline of employees.

 

Normality Test

For the normality test, the SPSS 20.0 for windows programme tool is used, namely the Kolmogorov-Smirnov test to test the normality of the aitem distribution.

Based on normality testing on the work discipline variable has a significance of 0.000 and on the job satisfaction variable has a significance of 0.200. Then it can be said that the distribution of items on the work discipline scale is abnormally distributed because it is less than 0.05 and job satisfaction is normally distributed because it is more than 0.05. The test results can be seen in table 7 below:

 

Linearity Test

Based on linearity testing on work discipline variables with job satisfaction has a significance of 0.001 (p <0.05). This shows that there is a linear (direct) relationship between the variable and the variable job satisfaction in operator employees, because the significance value of the two variables is less than 0.05.

 

 

Hypothesis Test

Based on the results of the correlation analysis, it is found that there is a significant relationship between work discipline and job satisfaction with a significance value of 0.001 (p < 0.05), and the correlation coefficient (R) value of 0.301 which indicates that there is a positive relationship between work discipline and job satisfaction because the R value is close to +1. Thus, the hypothesis in this study is accepted, that there is indeed a relationship between job satisfaction and employee discipline.

 

 

 

Statistical Description 

Based on the results of descriptive statistics, it is known that the average score of work discipline of 130 operator employees is 69.88 with a standard deviation of 6.676, and the average score of job satisfaction is 116.98 with a standard deviation of 9.652. The maximum and minimum scores for work discipline are 88 and 58, and the maximum and minimum scores for job satisfaction are 142 and 91.

 

Work discipline 

The number of well-discriminated items on the work discipline scale is 21 items using a score criterion of 1 to 4, this means the smallest score is 1 and the largest score is 4. The minimum total score is the smallest score multiplied by the number of well-discriminated items (1×21=21), then it can also be known that the maximum total score is the largest score multiplied by the number of well-discriminated items (4×21=84), so that a range of 21 to 84 is obtained with a distribution distance of 84-21=63, thus the standard deviation is 63÷6=10.5. score 6 is obtained from a normal distribution curve which is divided into 6 regions, namely 3 positive areas and 3 negative areas. After getting the standard deviation, then find the hypothetical mean by multiplying the middle score on the scale score by the number of well-discriminated items (2.5×21=52.5). The score of 2.5 is obtained from the median or middle score of the score criteria used between 1 and 4, namely 2.5.

 

Job satisfaction 

The number of well-discriminated items on the job satisfaction scale is 31 items using the score criteria of 1 to 4, this means that the smallest score is 1 and the largest score is 4. The minimum total score is the smallest score multiplied by the number of well-discriminated items (1×31=31), then it can also be known that the maximum total score is the largest score multiplied by the number of well-discriminated items (4×31=124), so that a range of 31 to 124 is obtained with a distribution distance of 124-31=93, thus the standard deviation is 93÷6=15.5. The score of 6 is obtained from the normal distribution curve which is divided into 6 regions, namely 3 positive regions and 3 negative regions. After getting the standard deviation, then find the hypothetical mean by multiplying the middle score on the scale score by the number of well-discriminated items (2.5×31=77.5). The score of 2.5 is obtained from the median or middle score of the score criteria used between 1 and 4, namely 2.5.

 

Discussion

This study aims to empirically test the relationship between job satisfaction and employee discipline at PT Kondobo Textindo. Based on the results of the analysis that has been carried out, it shows that the hypothesis that has been formulated is accepted, which means that there is a positive relationship between job satisfaction and employee discipline at PT Kondobo Textindo. The existence of a relationship or accepted hypothesis can be seen in the bivariate correlation table above with a significance level of 0.001 (p <0.05), so the alternative hypothesis is accepted. The positive relationship between job satisfaction and employee discipline at PT Kondobo Textindo (0.301), shows that the higher the job satisfaction, the higher the work discipline.

 

Conclusion

Based on the results of the study, it can be seen that the hypothesis proposed in this study is accepted, namely that there is a very significant relationship between job satisfaction and employee discipline at PT Kondobo Textindo which is positive. This means that the higher the job satisfaction, the higher the work discipline of employees. Conversely, the lower the level of job satisfaction, the lower the work discipline of employees at PT Kondobo Textindo.

Based on descriptive analysis, it is known that most of the samples have very high work discipline. This can be possible because employees have job satisfaction and good working time as a period of time when the worker concerned must be present to start work and compliance with regulations between employees and superiors.

 

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Survey on Real Time Hand Gestures Recognition Using Convolutional Neural Network

by Kirti Sahu & Ashish Kumar Khare

 

ABSTRACT

Gesture Recognition is one of the most important part of research today. Many new algorithms are being developed recently in today‟s upcoming technologies. In the day to day life, mobile devices like phones or tablets are very common and being widely used among all people of world. These devices are connected with high speed networks and provide strong communications. These devices are often an enormous help    for    the people    that aren’t ready to communicate properly and even in emergency conditions.    For    a    disabled one    that isn’t able to speak     or an     individual who      speaks special language, these devices are often a boon as understanding, translating and speaking systems for these peopleThis chapter   discusses transportable android based hand sign recognition system which may be employed by disabled people. This paper presents comprehensive review on vision-basedhand gesture recognition, with a stress on    dynamic   hand   gestures.   First, quick introduction   of the   essential concepts and the classification of hand gesture recognition techniques are given. Then, variety of popular related technologies and interesting applications are reviewed. Finally, we give some discussion on the present challenges   and   open    questions during this area and mean an inventory of possible directions for future work.

Keywords: Python, NumPy, TensorFlow, Tflearn, Keras, Convolutional Neural Network, Training, Classification.

 

INTRODUCTION

Sign Language may be a well-structured code gesture,    every     gesture     has     meaning assigned thereto. Sign Language is that the only means of communication for deaf people. With the advancement of science and technology many techniques are developed not only to attenuate the matter of deaf people but also to implement it in several fields. But if the pc are often programmed in such how that it can translate signing to text format, the difference between the traditional people and therefore the deaf community can be minimized. We have proposed asystem which is in a position to acknowledge the varied alphabets of Indian signing for Human-Computer interaction giving more accurate results minimum of possible time. It will not only benefit the deaf and dumb people of India but also might be utilized in various applications within the technology field.

 

LITERATURE SURVEY

The contributions of various scholars are studied for survey and analysing the merits and demerits in order to enhance the consequences for making the system work better.

 

In Paper [1], Abhishek B, Kanya Krishi, Meghana M, Mohammed Daaniyaal, Anupama H S have proposed a system on Hand Gesture Recognition using Machine Learning Algorithms. The main focus of this is to recognize the human gestures using mathematical algorithms for human computer interaction. Only a few modes of Human-Computer Interaction exist, they are: through keyboard, mouse, touch screens etc. Each of these devices has their own limitations when it comes to adapting more versatile hardware in computers. Gesture recognition is one among the essential techniques to create user-friendly interfaces. Usually gestures are often originated from any bodily motion orstate, but commonly originate from the face or hand. Gesture recognition enables users to interact with the devices without physically touching them. This paper describes how hand gestures are trained to perform certain actions like switching pages, scrolling up or down in a page. The importance of gesture recognition lies in building efficient human-machine interaction. 

 

In paper [2], Jay Prakash, Uma Kant Gautam has proposed a Hand Gesture Recognition using Computer Vision Based Approach, Hand Gesture Recognition, Human Computer Interface (HCI), Instrumented Glove, Non-Verbal language. Hand Gesture Recognition System works like this : first user gives input to the system by making hand gestures, then system scanned the gestures by using cam or sensor and deducts it into signal and passes the program, now its program responsibility to first accept the signal then examine what is the input given using gestures, then check if there is any corresponding data is saved into dataset then result will be obtained in the output device.

 

In paper [3], Amit Chaurasia and Harshul Shire have proposed a system SNCHAR: Sign language Character Recognition using Keras, TensorFlow, Scikit, and Pyttsx3. This project “SNCHAR: Sign language Character Recognition” system is a python-based application. It uses live video as input, and predicts the letters the user is gesturing in the live feed. It captures the gestures, and recognizes the area of hand gesture skin colour intensity object. It separates the gesture area from the rest of the frame, and feeds that part to their trained model. This pre-trained model, using the hand gesture as input predicts a value that represents an alphabet. This alphabet is displayed on the screen. User can hear the text predicted on the screen by pressing “P” on the keyboard. The predicted text can be erased if required by using “Z” from the keyboard. At one hand, the project is capable of capturing the live feed and converting the gestures into the corresponding alphabets. 

In Paper [4], D. Nagajyothi, M. Srilatha and V. Jyothi have proposed a Hand Gesture Method to Speech Conversion using Image Segmentation and Feature Extraction Algorithm. In this system, the detection of skin colour and region segmentation is performed during the segmentation stage. RGB colour space, cbr colour space, HS colour space, Normalized RGB HSV are skin colour segmentation techniques. From these values the skin colour is detected. The RGB values lies in between a boundary for skin pixels and it varies for non-skin pixels. With this RGB ratio they  can identify whether the skin pixel belong to the skin region or not. Skin region detection algorithm is applied for each gesture and it is applied to skin region to find the colour. This system not only recognizes gesture indications it develops speech system. From the results they have obtained accuracy up to 80%.

 

In paper [5], T. Chandraleka, Balasubramanian R, Balasubramanian S, Karthikeyan S and Jayaraj R have proposed a system on Hand Gesture Robot Car using ADXL 335. In this System, Arduino, Microcontroller, Transmitter, Receiver are used. The outer frame work was done using tyres and supporting board is fixed to it and the tyres are each other with steel road of suitable capacity and which the tyres are connected to the board using wires and also the motors are fixed to the tyres for rotation purpose. Radio signals are transmitted using transmitter module Without any physical connection, the embedded system is used to interact with each other. After successful completion the working loads were improving the project. Even the mounting of ultrasonic sensor and other sensors for the complete information about the place where the car is being operated & make it useful for the society. The most important feature is to interact with the application from the distance object without any physical contact.

 

In paper [6], Sankara Gomathi.S, Amutha. S, Sridhar.G and Jayaprakasan.M have proposed a system Interpretation of Formal Semantics from Hand Gesture to Text using Proficient Contour Tracing Technique. In this system, Contour Tracing, Hand gesture, SVM, Feature Extraction, TOF, IoT are used. In this project, semantics are classified by support vector machine with trained datasets. The recognised hand gestures are displayed as text. Their main objective is to resolve the problem of facing interviewer for vocally impaired individuals. This helps them to build their confidence and eradicate their inferiority complex compared to other methods. In the interpretation of framework, conversion of sign to text, Image captured from camera is binaries, noise is expelled, boundaries of finger is detected and corresponding text is displayed as an output to the receiver.

 

In paper [7], Abdul Khader, Muhammad Thouseef, Akbar Ali and Ahamad Irfan have proposed a system on Efficient Gesture based Language Recognition using SVM and Lloyd‟s Algorithm. In this work, they have actualized a presumable exact strategy to perceive static gestures or image frames from a live camera or video data. As Hand Gesture Recognition is identified with two noteworthy fields of image processing and AI (machine learning). APIs that can be utilized to implement different strategies and methods in these fields. 

 

In paper [8], Rajesh George  Rajan  and  M  Judith Leo have proposed Comprehensive Analysis on Sign Language Recognition System. The human- machine interaction is developed through  the gesture recognition system. In the previous years, most of the researchers had done their research in static hand gesture recognition. Some works have been reported for recognition of dynamic hand gesture.   Also,   facial   expressions aren’t included in most  generally used  systems. Developing systems which are capable of recognizing both hand and facial gestures may be a key challenge during this area. In this paper they have discussed different sign language recognition approaches using different acquisition methods. By using the different data acquisition methods like sensor-based gloves, Kinect, leap motion controller etc. 

 

In paper [9], S. Shivashankara and S. Srinath have proposed a system on American Sign Language Recognition System using Bounding Box and Palm FEATURES Extraction Techniques. Bounding Box Technique, Canny Edge Detector, CIE Colour Model are used. This research paper exhibits an inventive framework, to achieve the transliteration of 24 static alphabets (Letter J and Z not included as they involve hand movement) of American Sign Language into English text and achieved an average recognition rate of 98.21% which is the best in recent (papers published in year 2017, and 2018) existing traditional work carried out. This paper also summarizes the system architecture, state of art, data collection for the proposed work, proposed system design, and the detailed results evaluation by showing comparative graphical depiction of the proposed technique with the existing techniques average recognition rate and also depicts the average gesture recognition rate chart by considering various factors like background complexity, background colour, location, time, distance, angle, mobile camera resolution, and illumination. This paper also highlights on face detection and edge detection technique, and also the various hand / palm features extraction techniques.

 

In paper [10], Shreyas Rajan, Rahul Nagarajan, Akash Kumar Sahoo, M. Gowtham Sethupati have proposed a system on Interpretation and Translation of American Sign Language for Hearing Impaired Individuals using Image Processing. This project mainly focuses on the development of software that can convert American Sign Language to Communicative English Language and vice-versa. This is accomplished via Image- Processing. The latter is a system that does a few activities on a picture, to acquire an improved  picture or to extricate some valuable data from it. Image processing in this project is done by using MATLAB, software by MathWorks. The latter is programmed in a way that it captures the live image of the hand gesture. The captured gestures are put under the spotlight by being distinctively coloured in contrast with the black background. 

 

In paper [11], S. Chandrasekhar and N.N. Mhala have proposed a system on High-speed Integration of Kinect V2 Data for Identification of Hand Gesture in Real time Movements. Hand gesture recognition is extremely critical for human-PC connection. This manuscript presents a narrative constant strategy for human-hand gesture recognition. There a framework for the discovery of quick gesture movement by utilizing a direct indicator of hand developments utilizing information combination technique. In their system, the hand area is removed from the foundation with the foundation subtraction strategy. At long last, the framework has been approved by methods for the Kinect v2 application actualized. The time requirement is recognized and the recognition is quick contrasted with other ongoing minutes. The timing analysis is compared, and the average time using data fusion method is 63ms. By using fast integration of data, the average time is 45ms. The time taken for recognition  of hand gesture is been improved. 

 

In paper [12], E. Padmalatha, S. Sailekya, R. Ravinder Reddy, Ch. Anil Krishna  and  K. Divyarsha have proposed system  on  Sign Language Recognition. There are many recognized sign language standards that have been defined such as ASL (American Sign Language), IPSL (Indo Pakistan Sign Language), etc., which define what sign means what. ASL is the most widely used sign language by the deaf and  dumb  community.The deaf and dumb use sign language to communicate among themselves with the knowledge of the standard      sign      language.      But      they      cant communicate with the remainder of the planet as most of the people are unaware of the existence and therefore the usage of the signing. This method aims to remove this communication barrier between the disabled and the rest of the world by recognizing and translating the hand gestures and convert it into speech. The CNN model fetched 99.4% accuracy while training and testing with the dataset. 

In paper [13], L. Latha and M. Kaviya have proposed system on A Real Time System for Two Ways Communication of Hearing and Speech Impaired People. The gestures shown by the impaired people will be captured and the corresponding voice            output is produced together way and   therefore    the before the voice input by normal people is taken and the periodic gesture are going to be showed them as another.   This   system    uses    RASPBERRY    PI kit because the hardware, where a Pi camera, LCD display, Speaker and   Microphone are   going   to be attached alongside it. First the image acquisition is carried where it captures the input  image  and  then image pre-processing is done to extract the foreground image from the background, then  feature extraction iscarried out to extract the necessary details. 

 

In paper [14], Suthagar S., K. S. Tamilselvan, P. Balakumar, B. Rajalakshmi and C. Roshini have proposed a system on Translation of Sign Language for Deaf and Dumb People. Their project objective isto analyse and translate the sign language that is hand gestures into text and voice. For this process, Realtime Image made by deafmute people is captured and it is given as input to the pre-processor. Then, feature extraction process by using algorithm and classification by using SVM (support Vector Machine) can be done. After the text of corresponding sign has been produced. The obtained output is converted into voice with use of MATLAB. Thus, hand  gestures made by deaf-mute people has been analysed and translated into text and voice for  better communication. In this proposed model an attempt has been made to design a system which can recognize the sign language of alphabets and number. 

 

In paper [15], V. Padmanabhan, M. Sornalatha have proposed system for dumb people Hand gesture recognition and voice conversion system. In this system, Gesture, Flex sensor, accelerometer, microcontroller, TTS are used. This project aims to lower the communication gap between the mute community and additionally the quality world. The projected methodology interprets language into speech. The system overcomes the required time difficulties of dumb people and improves their manner. Compared with existing system  the projected arrangement is compact and is feasible to hold to any places. This system converts the language in associate passing voice that’swell explicable by blind and ancient people.  


 

Table 1: Comparison on Various Methods Used in Hand Gestures

S. No

Paper

Technique

Result

Issues

 

1

Hand Gesture Recognition using Machine Learning Algorithms

Gesture Recognition, Human Computer Interaction, User- friendly Interface.

Each of these devices has their own limitations when it comes to adapting more versatile hardware in computers.

They are interpreted as gestures by the computer to perform actions like switching the pages, scrolling up or down the page. The system is built using OpenCV and TensorFlow object

detector.

 

2

Hand Gesture Recognition

Computer Vision Based Approach, Hand Gesture Recognition, Human Computer Interface (HCI), Instrumented Glove, Non-Verbal language

Hand Gesture Recognition System works like this: first user give input to the system by making hand gestures, then system scanned the gestures by using cam or sensor and deducts it into signal and passes the program, now its program responsibility to first

accept the signal

Examine what is the input given using gestures, then check if there is any corresponding data is saved into dataset then they will get their result.

 

3

SNCHAR: Sign

language Character Recognition

Keras, TensorFlow, Scikit, and Pyttsx3

Different images were tested and found that the new technique of TensorFlow was found to show some

results.

Moreover, there were difficulties to attain a 57% accuracy.

 

4

Hand Gesture Method to Speech Conversion using Image Segmentation and Feature Extraction Algorithm

HSV colour model, Pattern Recognition, Tracking and Segmentation.

The RGB values lies in between a boundary for skin pixels and it varies for non-skin pixels. With this RGB ratio they can identify whether the skin pixel belong to the skin region or not. Skin region detection algorithm is applied for each gesture and it is applied to skin region to find the colour.

The issue is the system was not able to achieve the proper image capturing and colour detection problems.

 

 

 

5

Interpretation and Translation of American Sign Language for Hearing Impaired Individuals using Image Processing

Feature Extraction, Edge Detection, Segmentation

Their system translates the detected gesture into actions such as opening websites and launchingapplications like VLC Player and PowerPoint. The dynamic gesture is used to shuffle through the slides in presentation. Our results show that an intuitive HCI can be achieved with minimum hardware requirements.

System that did not utilize any markers, hence making it more user friendly and low cost. In this gesture recognition system, they have aimed to provide gestures, covering almost all aspects of HCI such as system functionalities, launching of applications and opening some popular websites.

 

6

High speed Integration of Kinect V2 Data for Identification of Hand Gesture inReal timeMovements

Gesture Recognition, Human Computer Interaction, Kinect V2 system

The time requirement is recognized and the recognition is quick contrasted with other ongoing minutes. The timing analysis is compared, and the average time using data fusion method is

63ms

Outcome of the module is inappropriate.

 

7

Sign Language Recognition

SVM, CNN, HSV

colour model

A dataset containing all the gestures are present. Each gesture folder consists of 2400 images which is used for training and testing the model. There are 47 gestures but more can be added by the users.

As the hand segmentation is dependent on the colour of the hand, if the objects in the background match the skin colour, it could distort the binarized threshold image. Due to similar gestures that exist in ASL, the final accuracy of classification depends on the environment

and image processing techniques.

 

8

 SVM, MATLAB

Hand detection, Segmentation and Hand Tracking

An attempt has been made to design a system which can recognize the sign language of alphabets and number. 11 different features from image has been extracted to make a feature vector database. SVM and neural network is used for classifying the different sign- language    word   and hence for recognition.

The result obtained for the system is not appropriate and could recognise the images properly.

 

9

Hand Gesture Recognition and Voice conversion system for dumb people

Gesture, Flex Sensor, TTS, Microcontroller

The     language interprets into some text kind displayed on the digital display screen, to facilitate

the deaf people.

The main issue is recognition algorithm is reduced to 60% – 80%.

 

CONCLUSION AND FUTURE WORK 

In this project, we present hand tracking and segmentation algorithm that is both accurate and computationally efficient. The importance of gesture recognition lies in building efficient human- machine interaction. This paper describes how the implementation of the system is completed based upon the     pictures captured, and       the waythey’re interpreted as gestures by the pc to perform actions like switching the pages, scrolling up or down the page. They were able to create robust gesture recognition system that did not utilize any markers, hence making it more user friendly and low cost. In this gesture recognition system, we have aimed to provide gestures, covering almost all aspects of HCI such as system functionalities, launching of applications and opening some popular websites. In future we would like to improve the accuracy further and add more gestures to implement more functions. Finally, we target to extend our domain scenarios and apply our tracking mechanism into variety of hardware including digital TV and mobile devices. We also aim to extend this mechanism to range of users including disabled users.

 



 

REFERENCES

[1]   Abhishek B, Kanya Krishi, Meghana M, Mohammed Daaniyaal, Anupama H S “Hand Gesture Recognition using Machine Learning Algorithms” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-1, May 2019.

 

[2]   Jay Prakash, Uma Kant Gautam “Hand Gesture Recognition”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277- 3878, Volume-7 Issue-6C, April 2019.

 

[3]   Amit Chaurasia, Harshul Shire, “SNCHAR: Sign language Character Recognition”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-3, September 2019.

 

[4]   D. Nagajyothi, M. Srilatha, V. Jyothi “Hand Gesture Method to Speech Conversion using Image Segmentation and Feature Extraction Algorithm” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-4, November 2019

 

[5]   T. Chandraleka, Balasubramanian R, Balasubramanian S, Karthikeyan S, Jayaraj R “Hand Gesture Robot Car using ADXL 335” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-4, November 2019.

 

 

[6]   Sankara Gomathi.S, Amutha. S, Sridhar.G, Jayaprakasan.M “Interpretation of Formal Semantics from Hand Gesture to Text using Proficient Contour Tracing Technique” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277- 3878, Volume-8, Issue-2S11, September 2019.

 

[7]   Abdul Khader, Muhammad Thouseef, Akbar Ali, Ahamad Irfan “Efficient Gesture based Language Recognition using SVM and Lloyd‟s Algorithm” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-2S3, July 2019.

 

[8]   Rajesh George Rajan, M Judith Leo “A comprehensive Analysis on Sign Language Recognition System” International Journal of RecentTechnology and Engineering (IJRTE) ISSN: 2277- 3878, Volume-7, Issue-6, March 2019.

 

[9]   S. Shivashankara, S. Srinath “An American Sign Language Recognition System using Bounding Box and Palm FEATURES Extraction Techniques” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-4S, November 2018.

 

[10] Shreyas Rajan, Rahul Nagarajan, Akash Kumar Sahoo, M. Gowtham Sethupati “Interpretation and Translation of American Sign Language for Hearing Impaired Individuals using Image Processing” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-4, November 2019.

 

[11] S. Chandrasekhar, N.N. Mhala “High-speed Integration of Kinect V2 Data for Identification of Hand Gesture in Real time Movements” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-4, November 2019.

 

[12] E. Padmalatha, S. Sailekya, R. Ravinder Reddy, Ch. Anil Krishna, K. Divyarsha “Sign Language Recognition” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277- 3878, Volume-8 Issue-3, September2019.

 

[13] L. LATHA, M. KAVIYA “A Real Time System for Two Ways Communication of Hearing and Speech Impaired People” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277- 3878, Volume-7 Issue-4S2, December 2018.

 

[14] Suthagar S., K. S. Tamilselvan, P. Balakumar, B. Rajalakshmi, C. Roshini “Translation of Sign Language for Deaf and Dumb People” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-5, January 2020.

 

[15] V. Padmanabhan, M. Sornalatha “Hand gesture recognition and voice conversion system for dumb people” International Journal of Scientific & Engineering Research, Volume 5, Issue 5, May-2014.

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Artificial Intelligence in Logistics

by P. Sireesha & Shehnaz Sultana

 

 

Abstract

 Logistics is one area where AI has started to have an effect. It is now a must-have part of any company’s next software system. The advent of new and developing technologies like artificial intelligence, machine learning, and block chain has changed the disjointed and disorganized logistics industry. A few of the advancements that these technologies have brought to the logistics business are autonomous trucks, predictive analysis, and smart highways. Artificial intelligence and machine learning may be quite helpful in the supply chain when it comes to expediting processes, preventing human mistake, saving time, etc.

                              

Keywords: Artificial Intelligence, Machine Learning, Logistics, Technology, Supply Chain

 

1.     Introduction to Artificial Intelligence

 

Artificial Intelligence is the intelligence of machines which is totally opposite to the intelligence of humans or animals. AI applications include advanced web search engines (like Google search), recommendation systems (like YouTube, Amazon and Netflix), understanding human speeches (like Alexa), generative and creative tools (like Snap Chat). AI is the fastest technology which gives reply to a chat message in milliseconds where as it takes more time for humans to type and send a chat message.

 

2.     Meaning of AI in Logistic Companies

Logistic organizations can benefit from a wide range of capabilities including autonomous equipment and predictive analytics. AI has mostly been used in the logistics industry for four business functions namely: service operations, product and service development, marketing and sales and supply chain management

Logistics services are services which helps in the movement of goods in the supply chain, such as transportation of materials to companies, warehousing, and delivery to customers. Logistics services are very broad, so it grouped into several levels, such as 3PL, 4PL, and 5PL..

Logistics services are a very important part of supply chain management and play an important role in helping product flow control, effective planning, and efficient management of storing goods and information.

Therefore, to increase efficiency and get a better customer experience, a company should work with an experienced and trusted logistics company

7 Concepts in Logistics

7 R is a concept that is very well known and very important to be applied in the logistics activities in a company. The 7 R concept also helps companies to plan the best logistics management to deal effectively with the complexity of services. Here is the concept of 7 R in logistics.

1. Correct Product.

In the process of designing, producing, and selecting products, a company must look at the potential problems that can arise during the transportation process. Products when designed properly will greatly facilitate the logistics process. Ensuring standardization of product dimensions throughout the design process will make packaging, warehousing, product handling, and transportation much easier.

2. Corerct Customer (The Right Customer).

The customer is the core component and the focus of the supply chain process. Getting the right customers must go through several processes, such as identifying the customers to target. To get the characteristics of targeted customers, you can do market research.

Market research will give you insight into who you should target and help you stick to your budget. With good market research, a company can choose the most effective marketing strategy to reach its target customers.

3. Correct Price (Right Price).

Determining product prices is a very important part of a company because the right product price will ensure the company’s profits and business continuity. Using a good system to store and update product prices also helps to be successful in logistics management services.

4. Correct Quantity.

Producing and shipping the right amount of product is also important in logistics. The number of products is less than demand will result in customers not getting the product at the right time. However, the excess quantity will also increase warehousing costs and other related costs. So the production and delivery of products must be balanced with the demand for cost-efficiency.

5. Correct Condition.

The right conditions in logistics speak of safe delivery. Product quality must be maintained until it reaches the customer. The distribution strategy must be arranged in such a way as to maintain product quality without increasing costs.

6. Correct Time.

Time is an important factor in logistics activities. Even if the other processes are performed accurately, the whole process can fail if the timing is not right. Long-term customer and business satisfaction are only possible if products are delivered to customers on time.

7. Correct Place.

A good delivery system with location tracking is the most appropriate solution to overcome this. So the company can track the location of the product accurately and send it to the right place.

Companies providing logistic services in India

1.     TVS Supply Chain Solutions Limited

2.      Mahindra Logistics

3.     . Ekart Logistics

4.      Blue Dart

5.      DTDC

6.      DHL

7.     Delhivery

8.     FedEx

9.     Xpressbees

 

Role of AI in Logistic Sector

The role of AI in logistics is ultimately to smooth  operations across order processing, inventory management, supply chain and distribution in order to offer an increase customer experience. 

It can be used to do routine tasks in order to reduce costs, improve efficiency and provide better customer service. AI in e commerce logistics also provides real-time tracking and monitoring of parcels, which helps  the overall customer experience and helps consumer satisfaction. Additionally, AI improves data analysis, allowing businesses to make smart decisions and improve operations. 

This is due to the fact that AI is able to process and filter large amounts of data, which then can be used to create forecasts for future developments in intralogistics. Placing certain items in a certain order or selecting picking routes that minimise travel time are just two of many ways to optimise warehouse operations. 

Overall, the use of AI in ecommerce logistics is becoming increasingly essential in today’s fast-paced business environment, however, research shows that not everyone in the logistics space is ready to adopt AI based strategies.

·      Saving time: AI plays a crucial role in saving time, lowering expenses, enhancing productivity and improving accuracy. It helps us to save time and money by automating a variety of time consuming operations and assisting with demand forecasts. AI aids in logistics, which helps to reduce shipping costs, which in turn helps to generate more profits. AI allows computers to gather, analyze and make informed decisions in a matter of seconds saving time for humans.

·      Driverless Vehicles: AI has introduced driverless vehicles to increase the delivery procedure significantly

·      Robotics: Robotics is interconnected with intelligent machines which is an enhanced application of AI that processes logistics management

 

3.     Applications of AI in Logistics

·      Planning: Logistics planning needs extensive preparation that involves coordinating with suppliers, customers and various company units. Machine learning solutions can help with planning since they are effective at scenario analysis and numerical analytics both of which are important for planning

·      Forecasting Demand

i)      Organizations may leverage real-time data in their forecasting attempts thanks to AI capabilities

ii)    Manufacturers can better manage the number of deployed trucks to local warehouses and decrease operational expenses by improving their workforce planning with increased demand prediction accuracy

iii)  Local warehouses/retailers can cut storage expenses

iv)   Customers are less likely to experience stock outs that reduce customer satisfaction

·      Supply Chain Management: Artificial Intelligence assists firm in analyzing demand in real-time so that supply planning parameters can be updated dynamically to optimize supply chain low

·      Warehouse Automation: Only 12% of organizations are employing AI technology in their warehouses, according to the 2020 MHI Annual Industry Report, but that number is predicted to rise to above 60% in the next six years

·      Robots in Warehouses: Another AI technology that is being heavily invested in to improve supply chain management is Warehouse Robots. Between 2017 and 2022, the warehouse robots industry is predicted to increase at a CAGR of 11.8% with a market value of USD 2.28 billion

 

4.     Types of Artificial Intelligence

 

Artificial Intelligence can be divided into two types: (A) Type 1 (AI Based on Capability) and (B) Type 2 (AI Based on Functionality)

A.   Type 1 (AI Based on Capability)

i)      Weak AI / Narrow AI: An example of narrow artificial intelligence is the ability to intelligently carry out a certain task. Narrow AI is the most popular type of AI that is currently accessible. Narrow AI examples include:AI-powered chess game, speech recognition, image recognition, self-driving automobiles, and recommendations for purchases on online stores

ii)    General AI: An intelligence known as general artificial intelligence (AI) is capable of handling any intellectual work as effectively as a human. The goal of general artificial intelligence is to create a system that is capable of thinking like a person on its own. The goal of current global research is to create machines with general artificial intelligence.

iii)  Super AI: Super AI refers to a system’s intelligence level where computers are able to outperform humans at any task and have cognitive qualities. It is an AI-produced result. Super AI’s capacity for independent thought, reasoning, problem-solving, judgment, planning, learning, and communication are some of its primary traits.

B.    Type 2 (AI Based on Functionality)

i)      Reactive Machines: Artificial intelligence starts with robots that are purely reactive. These AI systems don’t keep track of memories or past encounters for use in the future. Google’s Alpha Go and IBM’s Deep Blue system are two instances of reactive machines.

ii)    Limited Memory: Machines with limited memory can temporarily store certain data or memories. These devices have a certain amount of time to use stored data. Example: Autonomous vehicles using a constrained memory system. These vehicles can store information to help them traverse the road, such as the speed limit, distance from other vehicles, and recent speeds of adjacent cars.

iii)  Theory of Mind: Mental theory AI should be able to communicate specifically like humans and comprehend human emotions and beliefs. Although these AI devices have not yet been constructed, researchers are working very hard to make advancements in this area.

iv)   Self-Awareness: Self-Recognition Future Artificial Intelligence is known as AI. These machines will possess consciousness, feelings, and self-awareness in addition to being extremely intelligent. These devices will surpass human intelligence. Self-awareness artificial intelligence is still a theoretical idea that does not exist in reality.

5.     Benefits of AI in Logistic Industries

·      Better Customer Services: People in the logistic industries mostly depend on reliable service providers. The greatest transport service is offered to firms and their clients by artificial intelligence technology instruments since they are efficient and in style in the business sector. Customers trust AI because it offers them dependable, individualized service. AI assists clients based on their past purchasing experiences.

·      Shipment and Delivery: AI technology tools are used by the logistics sector to improve shipment and delivery productivity. Artificial Intelligence (AI) techniques are sophisticated enough to track traffic on roadways and save gasoline. It determines the route and free time to improve customer service with the aid of the route optimization technique.

·      Marketing and Sales Optimization: Drone usage is becoming more and more popular in the logistics sector. AI offers solid technologies that can quickly improve the delivery process. Drones are utilized to safely deliver various medications and other commodities.

·      Back-Office Automation: The logistic sectors, which rely on AI to maintain workforce, email, billing, and other operational services, are the foundation of the technology’s improved benefits.

·      Smart Roads: In the logistics industry, smart roads can be of great assistance since they can minimize delays in product delivery and meet customer service requirements. Solar panels are used on smart roads to prevent ice buildup in the winter. This uses AI to support driverless vehicles for quick goods delivery.

 

6.     Advantages of Artificial Intelligence

·      It replies within milliseconds

·      It is most beneficial technology for everyone

·      It can solve arbitrary problems

·      It knows all the languages and it even translates the language into other languages

·      It has the higher knowledge that even a human being cannot imagine

 

7.     Disadvantages of Artificial Intelligence

·      Most of the human beings are addicted and dependable on the AI and not preferring to use their brain and knowledge what they have

·      People are addicted to AI in the same way that they are addicted to smart phones. The upcoming generations may totally depend on AI and Robots for their works

8.     Conclusion

AI in Logistics is a rapidly growing field that has the potential to change supply chain management. By understanding its benefits, challenges and practices for implementation business can improve efficiencies and reduce costs. As technology advances at an ever increasing rate, companies must stay ahead by investing in AI solutions specifically to their needs, if they want to remain competitive in today’s global market.

 

References:

Klumpp, M. (2018). Automation and artificial intelligence in business logistics systems: human reactions and collaboration requirements. International Journal of Logistics Research and Applications21(3), 224-242.


Pandian, A. P. (2019). Artificial intelligence application in smart warehousing environment for automated logistics. Journal of Artificial Intelligence1(02), 63-72.


Soltani, Z. K. (2021). The Applications of Artificial Intelligence in Logistics and Supply Chain. Turkish Journal of Computer and Mathematics Education (TURCOMAT)12(13), 4488-4499.


Woschank, M., Rauch, E., & Zsifkovits, H. (2020). A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics. Sustainability12(9), 3760.


Zhang, Y. (2019, October). The application of artificial intelligence in logistics and express delivery. In Journal of Physics: Conference Series (Vol. 1325, No. 1, p. 012085). IOP Publishing.

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River Narmada in Madhya Pradesh and Heavy Metal Poisoning of Fish

by Sangeeta Shrivastava 

 

 

Abstract: 

As the biggest west-flowing river in Madhya Pradesh, the Narmada (also spelt Rewa) is also one of India’s three holiest rivers. In the Maikal hillocks, which are located in the eastern highlands of the Vidhyas Mountains, the river’s source is said to be at a height of 1051 metres, according to the Gazetteer of Hoshangabad (1979). In the Shahdol district of Madhya Pradesh, it is close to Amarkantak. When thinking about fish farming, it’s important to examine the water’s physical, chemical, and biological properties. To effectively manage fish populations, one must have a thorough grasp of water quality. Researchers in the Narmada River took water samples from four different locations and analysed them for physicochemical characteristics and heavy metal content. The following variables were recorded: thermal, pH, salinity, electrical conductivity, chemical oxygen demand, and biological oxygen demand. In every one of the locations tested, Mn and Zn were found. Interestingly, levels were much higher in three of these places compared to the World Health Organization’s advised limit of less than 0.500 mg/L for manganese. The amounts of Cr and Cd were greater than the norms in two of the three samples. All of the samples tested negative for lead, and in two of the locations, the copper levels were also below the acceptable range. The following categories were used to categorise the physicochemical properties that were studied: Various factors that make up environmental conditions include temperature (C), pH (ranging from 5.8 to 8.2), biochemical oxygen demand (BOD) (0.3-20 mg/L), total dissolved solids (TDS) (37-249) (26-29 mg/L), electrical conductivity (EC) (73.67-498 µS/cm), total hardness (0.8-5.7 mg/L), salinity (0.03-0.22 psu), and chemical oxygen demand (COD) (2.9-9.7 mg/L). Most of these metrics were within what the World Health Organisation considers to be acceptable ranges. The results imply that high metal loads in water may impact people and fish in the long term, hence it is critical to regularly assess water quality.

 

 

Keywords: Heavy metals, Physicochemical analysis, Chemical oxygen demand, Biochemical oxygen demand, Narmada River, Bioaccumulation

 

·                INTRODUCTION

The Narmada River valley has been home to humans for aeons. Several texts from ancient India describe the Narmada as a sacred river. This river is mentioned in a number of folktales and musical works. Along the banks of the Narmada River have developed a wide variety of cultures and lifestyles, from those of the independent Aadivasi people who live in the forests to those of non-tribal rural groups. Several human-caused activities are leading to a steady decline in the aquatic biodiversity of the Narmada River. The danger that freshwater biodiversity presents to all of Earth’s ecosystems is a typical argument against it.

At 9 billion strong, human countries were struggling to fulfil even the most fundamental demands by mid-century (FAO, 2018). Since fisheries and aquaculture are closely linked to several Sustainable Development Goals (SDGs), prioritising them is essential in any effort to address this worldwide problem. Sustainable Development Agenda Goal 14 focuses on taking care of the world’s oceans and seas in an eco-friendly way. Director general Jose Graziano da Silva of the Food and Agriculture Organisation (FAO) asserts that the fishing and aquaculture sector is crucial to realising the FAO’s goal of a world free of hunger and malnutrition (2018). Since 1961, the global population has not kept pace with the increase in fish consumption. The Food and Agriculture Organisation (FAO) projects a more than 20% surge in fish consumption by the year 2030. Regardless of the global fish supply, Asia’s food supply would be jeopardised since fewer people would consume fish per person. An increase in interest in aquaculture is being seen throughout the country, including in the Indian state of Madhya Pradesh. Across the country, this trend is more apparent in the north and south. According to Amenyogbe et al. (2018), subsistence fishermen often use semiintensive and extensive techniques to raise fish in artificial settings such reservoirs, rivers, dugouts, and earthen dams. Some farmers keep their cattle in floating cages, while others use concrete tanks or clay rivers. Fish rely on the readily available grain bran. Bran is a component that is found in many grains, such as maize, wheat, and rice. Sandre et al. (2017) and M’balaka et al. (2012) state that the main factors influencing the production of fish in aquaculture include biotic factors such as sex, age, and genetic variation, and abiotic factors such as water chemistry, temperature, photoperiod, and oxygen level. Abiotic factors that affect water quality include things like temperature, biological oxygen demand (BOD), dissolved oxygen (DO), colour, clarity, turbidity, carbon dioxide (CO2), pH, alkalinity, hardness, unionised ammonia, nitrite, nitrate, and plankton population. Understanding these factors is critical for the efficient administration of the Narmada River. Since water is the natural environment of farmed fish, keeping it clean is crucial to their health and production (Mandal et al., 2017; Oluyemi et al., 2010). Water quality is the biggest issue with fish farming, according to Boyd (1990). Keeping tabs on various water quality indicators is crucial for fish welfare (Jaeger and Aubin 2018; Sehar et al. 2014). Heat, acidity, pH, CO2, ammonia, hardness, nitrites, total solids in solution, and oxygen in solution are some of the many factors that have a role. Any of these characteristics might have an impact on farmed fish health in certain contexts (James, 2000). While alkalinity and hardness tend to remain relatively constant, dissolved oxygen and pH tend to change more. Changing one set of circumstances may influence the emergence of another. For example, alkalinity and hardness are two factors that impact pH (Klontz, 1993). Fish populations might be negatively impacted by human-introduced contaminants such as metals and pesticides (Biney, 1986). Heavy metals in sediments, water, and food may be absorbed by fish, according to recent studies (Adeeye, 1996). At safe levels, certain heavy metals have practical use, while others pose serious health risks to humans and aquatic organisms. Consider how zinc is fundamental to the cytoplasm’s proper operation. In low zinc concentrations, fish develop and grow more slowly, while in high zinc concentrations, they die. Sehar et al. (2014) found that zinc overdose may lead to skin irritation, nausea, vomiting, pancreatic injury, and alterations in protein metabolism. The great majority of aquaculturists rely on water from natural sources such springs, rivers, and lakes, however a small number use artificial techniques. In an ideal setting, most farms use river management methods to breed zoo fish, according to Eze and Ogbaran (2010). In order to identify the best water quality criteria for fish farming, the researchers compared the results of investigations on heavy metal pollution on the Narmada River with other companies’ findings.

·       MATERIAL AND METHODS STUDY AREA

As the biggest west-flowing river in Madhya Pradesh, the Narmada (also spelt Rewa) is also one of India’s three holiest rivers. In the Maikal hillocks, which are located in the eastern highlands of the Vidhyas mountains, the river’s source is said to be at a height of 1051 metres, according to the Gazetteer of Hoshangabad (1979). In the Shahdol district of Madhya Pradesh, it is close to Amarkantak. The basin encompasses a considerable amount of land, including a large portion of Gujarat (12%), a tiny portion of Maharashtra (2%), and 86% of Madhya Pradesh. Gujarat is where the Narmada River meets the Gulf of Cambay. Though Gujarat receives the lion’s share of the residual flow, over 90% of it flows to M. P. It passes into Maharashtra for a short distance. Because of the abundance of nutrients in this soil, staple crops such as corn, yams and cocoyams grow well.

·       SAMPLING

We took water samples at random from four different locations and analysed the results over three weeks. Two or three samples were collected from each site. We took the readings in a controlled lab environment as well as out in the field.

·       PHYSICOCHEMICAL ANALYSIS

At the location, we used a Hanna HI 9829 multiparameter metre to measure the total dissolved solids (DDS), pH, conductivity, salinity, and temperature of each sample. When measuring each parameter, we adhered according to the manufacturer’s instructions. Turbidity, biological oxygen demand, and chemical oxygen demand were determined in accordance with the methods published by APHA (1992).

·       HEAVY METAL ANALYSIS

Following the standard procedures described in previous studies (Sehar et al., 2014; Mensah et al., 2016), the materials were digested. Finally, the concentrations of manganese, cadmium, copper, chromium, lead, and zinc were determined using atomic absorption spectroscopy (AAS). The proportion of HNO3 to water in a 250 mL beaker is 5 mL to 100 mL according to the conventional formula. By heating the combination, the volume was reduced to around 20 ml. The digestion process was extended by heating and adding HNO3 to guarantee a clear solution. Chilling and filtering the solution was followed by a cautious transfer to a 50 ml volumetric flask. In cases where the sample could not be located, a blank solution was prepared by following the same procedure. The atomic absorption spectrometer NovAA 400 P from Analytik Jena was used for a repeat measurement to determine the concentrations and standard deviations of lead, cadmium, manganese, copper, and zinc.

·       RESULTS AND DISCUSSION

Harmful metals According to Sehar et al. (2014), there are a variety of natural and human-induced processes that discharge metals into water bodies. Some metals are necessary for life, yet they are also harmful to the environment. Because of their toxicity and bioaccumulation potential in water sources, these metals are of utmost concern (Soylak and Erdogan, 2006). Omega-3 fatty acids and other polyunsaturated fats, as well as copper, iron, and zinc, are just a few of the important elements found in fish, which is why it is so popular (Sehar et al., 2014). It is very important to ensure that fish is safe for human consumption. Each of the eight rivers tested positive for six different heavy metals. Table 1 summarises the findings.

 

Table 1: Heavy metal Concentrations in waters of three ecosystems (mg/I)

Pre-monsoon

Li

Be

AI

V

Cr

Mn

Fe

Co

Ni

Cu

Zn

Ga

 

0.09±01

BDL

1.43±0.19

0.003±0

0.003±0

0.03±0

0.12±001

BDL

0.002±0

0.01±0

0.02±0

BDL

 

0.02±0.005

BDL

1.18±0.27

0.002±0.0001

0.001±0.0001

0.05±0.004

0.12±0006

0.002±0

0.001±0

0.01±0

0.02±0.002

BDL

 

BDL

BDL

4.32±0.27

0.01±0

0.004±0

0.18±0.04

0.65±06

0.01±0

0.01±0

0.13±0.02

0.07±0.01

0.001±0

Monsoon

 

0.08±0

BDL

4.19±0.34

0.005±0

0.001±0

0.07±0

0.18±002

BDL

0.002±0

0.02±0.002

0.04±0.006

BDL

 

0.09±0.02

BDL

2.89±0.19

0.004±0

0.001±0

0.05±0.01

0.18±0009

BDL

0.001±0

0.02±0.004

0.03±0.006

BDL

 

0.009±0

BDL

12.05±0.63

0.02±0

0.007±0

0.43±0.02

10.02±1.5

0.001±0

0.01±0

0.12±0.01

0.10±0.01

0.002±0

Post Monsoon

 

0.03±0.007

BDL

0.05±0.003

0.003±0

0.002±0

BDL

0.003±0

0.001±0

0.003±0

0.01±0.002

BDL

BDL

 

0.03±0.003

BDL

0.06±0.01

0.003±0

0.001±0

0.04±0.004

0.001±0

0.001±0

0.001±0

0.01±0

BDL

BDL

 

0.002±0

BDL

0.07±0.007

0.003±0.001

0.003±0

0.03±0.01

0.004±0

0.0003±0

0.004±0

0.06±0.01

BDL

BDL

 

There was a detectable amount of zinc and manganese present in each and every one of the sample locations. During the monsoon season, the concentrations of zinc were at their greatest, measuring 0.04 mg/L, while the concentrations of manganese were at their lowest, measuring 0.03 mg/L. If you look in Table 1, you will see these statistics. Previous research (Adeyemi and Ugah, 2017; Onuoha, 2017) has shown that this particular study did, in fact, discover a number of locations that have higher amounts of manganese, cadmium, and chromium.

In light of the increased levels of carcinogens, it is imperative that concerns be expressed. Copper was found in other areas, although at levels that were far below than the permissible threshold established by the World Health Organisation (0.0233 mg/L and 0.0108 mg/L, respectively). Lead was not found in any of the tests that were conducted. With a higher position in the food chain, these elements have the potential to biomagnify, even in little quantities, and to bioaccumulate. Among these chemicals is the element lead. There is also a trace amount of copper and zinc present in the materials. Rahman et al. (2012) state that both benthic and pelagic fish have the potential to accumulate cadmium, lead, copper, and zinc in their gills, liver, and meat inside their bodies. According to the findings of Sehar et al. (2014), zinc has the potential to bioaccumulate in gills and to become more concentrated as it travels down the food chain.

According to the findings of Abumourad et al. (2013) and Healey (2009), hazardous metals like lead, cadmium, and mercury may accumulate more quickly in the tissues and bodies of aquatic animals than they do in the water itself. As a consequence of this, individuals experience signs and symptoms of serious health concerns. According to the findings of study conducted by Sarty and Gupta (1979), cadmium may decrease the kidneys’ capacity to filter waste. Cyanide and chromium are two examples of pollutants that may be identified in some water samples. These toxins pose a threat to aquatic life as well as to people. Given that these metals are often found in pesticides and fertilisers, it is not out of the question that runoff from farms that are next to the water source might potentially pollute the water supply.

Table-2: Physico-chemical characteristics of fresh water.

 

Parameters

Pre monsoon

Monsoon

Post monsoon

pH

7.6 ± 1.87

6.62 ± 1.61

6.81 ± 1.23

Temp (C)

27.5 ± 2.59

25.6 ± 4.94

23.6 ± 1.84

Ec (µs/cm)

660 ± 36.96

500 ± 101.50

724 ± 121.63

Salinity (ppt)

0.3078 ± 0.01

0.2332 ± 0.06

0.337 ± 0.03

DO (mg/l)

7.9 ± 0.69

8.8 ± 2.22

7.6 ± 1.23

BOD (mg/l)

3.2 ± 0.22

1.95 ± 0.48

2.29 ± 0.36

TS (mg/l)

1004.45 ± 213.95

868.61 ± 81.65

882.4 ± 80.30

TDS (mg/l)

960 ± 220.80

850 ± 214.20

816 ± 187.68

TSS (mg/l)

44.45 ± 6.36

18.61 ± 4.58

21.4 ± 3.06

Cl ( mg/l)

186 ± 21.84

122 ± 11.47

116 ± 13.92

TH (mg/l)

182 ± 32.76

204 ± 15.91

210 ± 37.80

Ca (mg/l)

24.5 ± 4.46

19.7 ± 3.31

23.86 ± 1.86

Mg H (mg/l)

157.5 ± 38.27

184.3 ±18.06

186.14 ± 31.27

TA (mg/l)

204 ± 39.37

163 ± 26.41

182 ± 17.84

·       TEMPERATURE

Many amphibians and reptiles have core temperatures that are quite close to those of the water they inhabit. This is also true of fish. Fish may die from the consequences of rapid temperature fluctuations. Fish metabolism and respiration are influenced by temperature, which in turn influences the amount of oxygen that is dissolved in the water. Boyd (1990), Chang et al. (2019), and Devi et al. (2017) are among the research that have shown this to be a cause of mental anguish and mortality. According to Table 2, the water temperature of the Narmada River ranged from 26 to 29 degrees Celsius. Studies support the World Health Organization’s (WHO) recommendation that the optimal temperature range is fifteen to thirty degrees (Zanatta et al., 2010).

pH

It is the hydrogen ion activity of water that is indicated by its pH. Changing the pH level by one unit indicates a tenfold change in the concentration of hydrogen ions. The pH of surface water systems is found to fluctuate during the day, reaching a minimum just before dawn and a high in the middle, as reported by Kestemont et al. (2015). Table 2 shows that across the three weeks of the experiment, the pH values of the Narmada River varied between 5.80 and 8.20. At the start of the day, the ideal pH range for fish culture is between 6.62 to 7.6, according to Swingle (1967) and Hepher and Pruginin (1981). Even if fish can survive in environments with pH values as low as 4 or as high as 11, the productivity of fish would still be significantly reduced, according to Devi et al. (2017). The river’s pH was below the ideal range for fish production during the third week of sampling. There may be a high rate of fish mortality because of garbage that has accumulated in the river, such as organic matter that has decomposed.

·       ELECTRICAL CONDUCTIVITY

The measureable attribute of water’s conductivity is its capacity to convey electrical current. In their 2004 study, Stone and Thomforde found that electrical conductivity levels ranging from 30-500 μS/cm are suitable for the culture of river fish. This is so even though there are currently no recommendations for EC in rivers from the World Health Organisation. All along the river, the results showed an EC that was well within the allowed limits. Increasing the amount of dissolved salts and inorganic elements in water, such chlorides, sulphate, and carbonate compounds, would raise the electrical conductivity of the water since conductivity is directly related to the concentration of conductive ions in it. Electrical conductivity is useful for identifying early changes in the water system and also provides the basis for calculating total dissolved solids (TDS) and salinity (Langland and Cronin, 2003).

·       SALINITY

It is said by Jamabo (2008) that salinity influences the quantity and pace of population increase of aquatic species. The term “salinity” refers to the overall concentration of ions in water that have electric charges. The electrical conductivity of water is therefore significantly altered by the presence of salt. According to the World Health Organisation, the typical range is 0 to 1 psu, and the results from the Narmada River were within this range.

·      TOTAL DISSOLVED SOLIDS

Each river had a different total dissolved solids (TDS) concentration, with values ranging from 37 to 249 mg/L (Table 2). The TDS concentrations differed from river to river. Both River A1 and River A2 have a relatively low level of chemical contamination in their water. There is a correlation between this discovery with the low EC values that were reported for the River. These values were much lower when compared to what is considered to be safe for the Narmada River.

·      HARDNESS

Only the concentrations of calcium and magnesium are taken into account when attempting to determine the overall hardness of water. A material’s hardness might be enhanced by the presence of additional divalent and trivalent ions; however, these ions are often present in negligible amounts. A significant drop in total hardness was seen during the third week of sampling. It was shown by the data. Research found levels below the World Health Organization-recommended limit of 50-100 mg/L for aquaculture. For aquaculture purposes, this range is suitable. The water must be very smooth if this is correct. Research has shown that fish may experience stress and a decrease in mineral content when the overall hardness value falls below 20 mg/L (Dinesh et al., 2017). The reason for this is because stress might have a greater impact on fish. However, liming the river might be a solution to this problem.

·       BOD & COD

Under aerobic conditions, at a specific temperature and for a specific amount of time, the amount of dissolved oxygen that organisms need to digest the organic matter in a specific water sample is determined by the biological oxygen demand (BOD). The majority of freshwater species typically need a biological oxygen demand (BOD) range of 3 to 20 mg/L, according to Boyd and Thunjai (2003). The BOD of the different samples ranged from 0.3 to 2.0, as shown in Table 2. All of the reported values were under the lower bound of the specified range. If there are too many fish in the river, oxygen levels would drop, which might explain the phenomenon. Aquaculture animals are more likely to experience stress, loss of appetite, slow growth, vulnerability to disease, and mortality when the concentration of dissolved oxygen is low (Makori et al., 2017). However, mechanical aeration may increase the river’s biological oxygen demand (BOD) (Warish et al., 2017). Results showing COD levels between 2.9 to 9.7 mg/L were within the range of what the World Health Organisation (WHO) considers to be acceptable. Levels of COD in the Narmada River have been shown to be below 20 mg/l in previous investigations (Warish et al., 2017).

·       CONCLUSIONS

There have been a few Narmada Rivers in the state of Madhya Pradesh that have been tested for their water quality, and it has been decided that these rivers have been reviewed. At each of the four sample sites, it was discovered that the levels of temperature, salinity, COD, and TDS were all within the optimal range that is suggested for the development of fish. After doing an analysis of the data, the researchers came to this conclusion of their findings. On the other hand, it was found that both the overall hardness and the BOD were lower than the normal range that is considered to be acceptable. This was a discovery that was made. There is a possible threat to the health of species that live in the water as well as people as a consequence of the presence of heavy metals such as chromium and cadmium in some sections of the river. people are also at risk of experiencing adverse health effects. Therefore, it is recommended that appropriate actions be taken at the river that was researched in order to maintain and improve the water quality for fish culture at regular intervals and to monitor the impact that these changes have on the development of the fish. The findings of the current research indicate that this recommendation is supported by the fact that it is recommended that appropriate actions be taken. This advice is based on the results of the study that was already mentioned previously in the discussion. Not only would this have a beneficial effect on the health of the aquatic biome, but it would also have a favourable influence on the health of people and the environment as a single entity.

 

REFERENCES

 

[1].      Abumourad, I.M.K., Authman, M.M.N., Abbas, W.T., 2013. Heavy metal pollution and metallothionein expression: A survey on Egyptian tilapia farms. Journal of Applied Sciences Research 9, 612-619.

[2].      Adeyemi, M.M., Ugah, I.A., 2017. Evaluation of Concentration of some Heavy Metals in Water, Soil, and Fish from River in Lugbe, Idu and Kuje in the Federal Capital Territory (FCT), Abuja, Nigeria. Journal of Environmental Science, Toxicology Food Technology 2, 39-43.

[3].      Adeyeye, E., 1996. Determination of major elements in Illisha africana fish, associated water and soil sediments from some freshwater River. Bangladesh Journal of Scientific Industrial Research 31, 171-184. Amenyogbe, E., Chen, G., Wang, Z., Lin, M., Lu, X., Atujona, D., 2018. A Review of Ghana’s Aquaculture Industry. Journal of Aquaculture Research and Development 9, 8-13.

[4].      APHA, 1992. Standard methods for the examination of water and wastewater. USA: American Public Health Association.

[5].      Bhatnagar, A., Devi, P., 2013. Water quality guidelines for the management of River fish culture. International Journal of Environmental Sciences 3, 1980-2009.

[6].      Biney, C.A., 1986. Preliminary physico-chemical studies of lagoons along the Gulf of Guinea in Ghana. Tropical Ecology 27, 147-156.

[7].      Boyd, C.E., 1990. Water quality in River for aquaculture. Agriculture Experiment Station, Auburn University, Alabama. Pp. 1-482.

[8].      Boyd, C.E., Thunjai, T., 2003. Concentrations of major ions in waters of inland shrimp farms in China, Ecuador, Thailand, and the United States. Journal of the World Aquaculture Society 34, 524-532.

[9].      Chang, H.A., Saeromi, L., Ho, M.S., Jae, R.P., Jin, C.J., 2019. Assessment of water quality and thermal stress for an artificial fish shelter in an urban small River during early summer. Water 11, 139- 157.

[10].    Devi, P.A., Padmavathy, P., Aanand, S., Aruljothi, K., 2017. Review on water quality parameters in freshwater cage fish culture. International Journal of Applied Research 3, 114-120.

[11].    Dinesh, K.G., Karthik, M., Rajakumar, R., 2017. Study of seasonal water quality assessment and fish Riverconservation inThanjavur, Tamil Nadu, India, Journal of Entomology and Zoology Studies 5, 1232- 1238.

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Universities Offering Doctoral and Post Doctoral Courses in Health Economics and Sustainable Development

 By Shashikant Nishant Sharma

Several universities around the world offer doctoral and post-doctoral programs in the fields of Health Economics, Economic Integration, and Sustainable Development. These programs are designed to equip students with advanced knowledge and research skills to address the complex challenges related to healthcare systems, economic cooperation, and sustainable practices. Here are some notable universities known for their expertise in these areas:

  1. Harvard University – USA:

    • Programs: Harvard offers a Ph.D. in Health Policy, which covers Health Economics as a major component. They also have programs in Economics and Sustainable Development.
    • Research Focus: The university emphasizes interdisciplinary research, exploring the intersection of health, economics, and sustainability.
  2. University of California, Berkeley – USA:

    • Programs: UC Berkeley provides a Ph.D. in Health Policy and Management, as well as programs in Environmental Economics and Sustainable Development.
    • Research Focus: The university is renowned for its research on health policy, environmental economics, and sustainable urban development.
  3. Erasmus University Rotterdam – Netherlands:

    • Programs: Erasmus offers a Ph.D. in Health Economics and Management. Additionally, they have programs focusing on International Economics and Sustainable Development.
    • Research Focus: The university is recognized for its contributions to health economics research and its commitment to sustainability.
  4. London School of Economics and Political Science (LSE) – UK:

    • Programs: LSE provides a Ph.D. in Health Policy, Economics, and Management. They also have programs related to International Economics and Sustainable Development.
    • Research Focus: LSE is known for its rigorous research in health economics and its exploration of economic integration and sustainable policies.
  5. University of Geneva – Switzerland:

    • Programs: The University of Geneva offers a Ph.D. in Economics, with specializations in Health Economics, Economic Integration, and Sustainable Development.
    • Research Focus: The university is situated in a hub for international organizations, allowing students to engage in cutting-edge research on economic integration and sustainability.
  6. University of Tokyo – Japan:

    • Programs: The University of Tokyo provides doctoral programs in Health Economics and Environmental Economics, contributing to the broader field of sustainable development.
    • Research Focus: The university is known for its research on the economic aspects of healthcare systems and its commitment to environmental sustainability.
  7. University of Sydney – Australia:

    • Programs: The University of Sydney offers a Ph.D. in Health Economics and programs in International Economics and Sustainable Development.
    • Research Focus: The university conducts research addressing health policy challenges, economic integration, and sustainable development, particularly in the Asia-Pacific region.

These universities stand out for their commitment to advancing knowledge in Health Economics, Economic Integration, and Sustainable Development, offering students opportunities to engage in impactful research and contribute to addressing global challenges in these critical areas. Prospective students should explore specific program details, faculty expertise, and research opportunities when considering these institutions for their doctoral or post-doctoral studies.

Here’s the information with clickable href links:

University Ph.D. Program Post-Doctoral Opportunities
Harvard University – USA Ph.D. in Health Policy Harvard Chan School Postdoctoral Research Fellowships
University of California, Berkeley – USA Ph.D. in Health Policy and Management Berkeley Population Center Postdoctoral Fellowship
Erasmus University Rotterdam – Netherlands Ph.D. in Health Economics Erasmus School of Economics Postdoctoral Positions
LSE – UK Ph.D. in Health Policy, Economics, and Management LSE Research Fellowship Programme
University of Geneva – Switzerland Ph.D. in Economics Postdoc Positions at the Faculty of Economics and Management
University of Tokyo – Japan Ph.D. Programs in Economics Researcher Positions at the Institute of Social Science
University of Sydney – Australia Ph.D. in Health Economics Research Fellowships at the Sydney School of Public Health
Indian Statistical Institute – India Ph.D. in Economics Post Doctoral Fellowship Programme
Jawaharlal Nehru University (JNU) – India Ph.D. in Economics Postdoctoral Research Fellowship Scheme
IIM Bangalore – India Ph.D. in Public Policy Post-Doctoral Programme in Public Policy

Feel free to click on the provided links to access more details about each program and opportunity.

Unlocking Academic Excellence: The Benefits of Using Google Scholar

 By Shashikant Nishant Sharma

In the digital age, researchers, academics, and students are fortunate to have access to powerful tools that facilitate the discovery of scholarly content. Google Scholar stands out as one such tool that has revolutionized the way we access and engage with academic literature. This article explores the myriad benefits of using Google Scholar and how it has become an indispensable resource in the pursuit of knowledge.

  1. Comprehensive Academic Search Engine

Google Scholar serves as a comprehensive academic search engine, indexing scholarly articles, theses, books, conference papers, and patents. Its vast database covers a wide range of disciplines, ensuring that users have access to a diverse array of research materials.

  1. Free Access to Scholarly Content

One of the standout features of Google Scholar is its commitment to open access. Many of the search results on Google Scholar provide free access to the full text or a preprint version of the scholarly content. This democratization of information is invaluable for researchers and students with limited access to institutional resources.

  1. User-Friendly Interface

Google Scholar’s user-friendly interface makes it accessible to users of all backgrounds. The simple search bar and intuitive design allow for easy navigation, ensuring that users can quickly find relevant academic resources without being overwhelmed by complex features.

  1. Citation Tracking

Researchers and academics can track citations of their own work or explore the impact of a particular article through Google Scholar. This feature aids in understanding the influence and relevance of scholarly publications within the academic community.

  1. Alerts and Notifications

Google Scholar offers a personalized experience through its alert and notification system. Users can set up alerts for specific keywords, authors, or topics of interest. This ensures that they stay informed about the latest developments in their field without actively searching for new publications.

  1. Integration with Library Resources

Many institutions integrate Google Scholar with their library resources, providing users with direct access to full-text articles available through their subscriptions. This seamless integration enhances the research experience for students and researchers within academic institutions.

  1. Advanced Search Options

For users looking for more refined search results, Google Scholar offers advanced search options. Researchers can use specific filters to narrow down results based on publication dates, authors, journals, or keywords, making it easier to find the most relevant information for their research.

  1. Multilingual Search Capabilities

Google Scholar supports multiple languages, making it a global platform for academic research. This inclusivity allows researchers from around the world to access and contribute to the vast pool of scholarly knowledge available on the platform.

Conclusion

In conclusion, the benefits of using Google Scholar are manifold. From its user-friendly interface to its extensive database and open access initiatives, Google Scholar has become an indispensable tool for academics, researchers, and students alike. By facilitating the efficient discovery of scholarly content, Google Scholar continues to play a pivotal role in advancing knowledge and fostering collaboration within the global academic community. Embracing this powerful platform is not just a convenience but a key step towards unlocking the doors to academic excellence.

References


Halevi, G., Moed, H., & Bar-Ilan, J. (2017). Suitability of Google Scholar as a source of scientific information and as a source of data for scientific evaluation—Review of the literature. Journal of informetrics11(3), 823-834.

Jacsó, P. (2005). Google Scholar: the pros and the cons. Online information review29(2), 208-214.

Mayr, P., & Walter, A. K. (2007). An exploratory study of Google Scholar. Online information review31(6), 814-830.

Mikki, S. (2009). Google scholar compared to web of science. A literature review. Nordic Journal of Information Literacy in Higher Education1(1).

Sharma, S. N. (2023). Understanding Citations: A Crucial Element of Academic Writing.

Important of Internship for Writers

 By Shashikant Nishant Sharma

Participating in an internship as a writer can offer numerous benefits that contribute to both personal and professional growth. Here are some key advantages of undertaking an internship for writers:

  1. Real-world Experience: Internships provide hands-on, practical experience in a professional writing environment. This exposure helps writers apply their theoretical knowledge to real-world situations, gaining a better understanding of industry practices.

  2. Networking Opportunities: Internships allow writers to connect with professionals in the field. Building a network of contacts can open doors to future job opportunities, collaborations, and mentorship.

  3. Skill Development: Internships provide a platform to enhance writing skills. Writers can learn new techniques, styles, and formats while receiving constructive feedback from experienced mentors, helping them refine and improve their craft.

  4. Industry Insights: Internships offer a firsthand look into the workings of the writing industry. This exposure helps writers understand market trends, audience preferences, and the overall dynamics of the field.

  5. Portfolio Enhancement: Internship experiences can be valuable additions to a writer’s portfolio. The work completed during the internship, along with any positive feedback or outcomes, can serve as tangible evidence of one’s capabilities to potential employers or clients.

  6. Professionalism: Internships teach writers about the importance of professionalism in the workplace. Learning how to meet deadlines, communicate effectively with team members, and navigate office dynamics contributes to the development of a strong work ethic.

  7. Increased Confidence: Successfully completing an internship can boost a writer’s confidence. It validates their skills and prepares them for the challenges of a professional writing career, helping to overcome any self-doubt.

  8. Resume Building: Internships provide valuable content for a writer’s resume. Having relevant work experience, especially in a professional setting, makes a candidate more attractive to potential employers.

  9. Exploration of Specializations: Writers often have the opportunity to explore different niches or specializations within the field during internships. This exploration can help them identify areas of interest and focus for their future careers.

  10. References and Recommendations: Establishing positive relationships with supervisors and colleagues during an internship can lead to strong professional references and recommendations, which can be crucial when seeking future employment opportunities.

  11. Adaptability: Working in a professional environment teaches writers to be adaptable and flexible. They learn to navigate different writing styles, projects, and expectations, preparing them for a diverse range of assignments in their future careers.

Overall, an internship provides a valuable bridge between academic learning and the demands of the professional writing world, offering a holistic learning experience for aspiring writers.

References

Bay, J. (2006). Preparing undergraduates for careers: An argument for the internship practicum. College English69(2), 134-141.

Gloe, E. M. (1983). Setting up internships in technical writing. Journal of Technical Writing and Communication13(1), 7-27.

Karami, Z., Dehbozorgi, J., & Safarnavadeh, K. (2020). Analysis of writing skills in theachers of Persian language and literature Case Study: Farhangian University Internship Program. Teacher Professional Development5(3), 31-49.

Health

 HEALTH

In the fast-paced rhythm of modern life, the pursuit of optimal health has become a priority for many. Beyond the absence of illness, true health encompasses a holistic well-being that includes physical vitality, mental resilience, and emotional balance. This blog delves into the multifaceted aspects of health, exploring the key components that contribute to a balanced and fulfilling life.

1. Physical Well-being:

The foundation of health lies in physical vitality. Regular exercise, balanced nutrition, and sufficient sleep form the pillars of a robust physique. From cardiovascular workouts that strengthen the heart to mindful practices like yoga that enhance flexibility, a holistic approach to physical well-being promotes longevity and vitality.

2. Mental Fitness:

A healthy mind is as vital as a healthy body. Cultivating mental fitness involves practices that promote cognitive function, emotional intelligence, and stress resilience. Mindfulness meditation, cognitive exercises, and engaging in activities that spark creativity contribute to a sharp and resilient mind.

3. Nutrient-Rich Diet:

The adage “you are what you eat” underscores the importance of nutrition in health. A balanced and nutrient-rich diet provides the body with the fuel it needs to function optimally. Incorporating a variety of fruits, vegetables, whole grains, and lean proteins supports not only physical health but also mental acuity.

4. Hydration Habits:

Often overlooked, proper hydration is a cornerstone of health. Water plays a vital role in digestion, circulation, temperature regulation, and overall cellular function. Establishing healthy hydration habits contributes to radiant skin, improved digestion, and overall well-being.

5. Emotional Balance:

Emotional health is the glue that binds physical and mental well-being. Nurturing emotional balance involves recognizing and processing emotions, fostering positive relationships, and practicing self-compassion. Emotional resilience empowers individuals to navigate life’s challenges with grace and equanimity.

6. Quality Sleep:

Sleep is a cornerstone of health that influences both physical and mental well-being. Establishing a consistent sleep routine and creating a conducive sleep environment contribute to restorative rest. Quality sleep enhances cognitive function, mood, and supports the body’s natural healing processes.

Artificial Intelligence

 AI

In the vast landscape of technological innovation, one phenomenon has emerged as a transformative force, shaping the way we live, work, and interact with the world – Artificial Intelligence (AI). As we stand on the cusp of a new era, this blog aims to delve into the marvels and challenges that accompany the rise of AI, exploring the unprecedented possibilities it presents and the ethical considerations it demands.

1. The Dawn of Intelligent Machines:

At its essence, Artificial Intelligence is the pursuit of creating machines that can perform tasks that typically require human intelligence. From machine learning algorithms to sophisticated neural networks, AI encompasses a spectrum of technologies that aim to mimic, and in some cases surpass, human cognitive abilities.

2. Transforming Industries:

AI’s impact on various industries is profound and multifaceted. In healthcare, it aids in diagnostics and drug discovery. In finance, it powers predictive analytics and fraud detection. From autonomous vehicles to smart homes, AI is reshaping the way we live, offering unprecedented efficiencies and conveniences.

3. Enhancing Human Capabilities:

Contrary to concerns about job displacement, AI has the potential to augment human capabilities. By automating routine tasks, it frees up human resources for more creative and complex endeavors. Collaborations between humans and AI promise to unlock new frontiers in scientific discovery, creativity, and problem-solving.

4. Ethical Considerations:

As AI becomes increasingly integrated into our lives, ethical considerations come to the forefront. Issues such as bias in algorithms, privacy concerns, and the potential for job displacement require careful examination. Striking a balance between innovation and ethical responsibility is crucial to ensuring the responsible development and deployment of AI technologies.

5. The Quest for Ethical AI:

Addressing the ethical challenges of AI involves a commitment to transparency, fairness, and accountability. Developing frameworks that prioritize unbiased algorithms, protecting user privacy, and establishing guidelines for responsible AI research and development are essential steps in the quest for ethical AI.

Trip

 Trip

Embarking on a trip is like opening a new chapter in the book of life, filled with anticipation, discovery, and the promise of unforgettable experiences. Whether it’s an escapade to a distant land or a road trip to hidden gems nearby, the thrill of travel is a universal language that speaks to the adventurous spirit in us. In this blog, let’s unravel the magic of a trip, exploring the transformative power of travel and the indelible memories it etches into the canvas of our lives.

1. The Call of Adventure:

Every trip begins with a call to adventure, a whisper from the wind, or a spark ignited by curiosity. It’s the allure of the unknown, the desire to explore uncharted territories, and the anticipation of what awaits around the next corner that fuels the excitement of a trip.

2. Cultural Tapestry:

One of the most enchanting aspects of travel is the opportunity to immerse oneself in diverse cultures. Whether it’s savoring local cuisines, witnessing traditional ceremonies, or conversing with locals, every trip weaves a vibrant tapestry of cultural experiences that broaden our perspectives and connect us to the rich mosaic of humanity.

3. Nature’s Grandeur:

From the towering peaks of majestic mountains to the serene beauty of sun-kissed beaches, travel allows us to witness nature’s grandeur in all its glory. Whether hiking through lush forests, camping under a star-studded sky, or simply basking in the tranquility of a secluded spot, each trip becomes a canvas upon which nature paints its breathtaking landscapes.

4. Bonding with Loved Ones:

Trips have a unique way of strengthening bonds with loved ones. Shared experiences, whether navigating the bustling streets of a foreign city or marveling at the wonders of nature, create a tapestry of memories that bind hearts together. Whether with family, friends, or a significant other, a trip becomes a shared adventure, fostering connections that last a lifetime.

5. Personal Growth:

Every trip is a journey not only across physical landscapes but also within ourselves. Stepping out of our comfort zones, navigating new terrains, and encountering unfamiliar cultures contribute to personal growth. Travel challenges us, broadens our horizons, and leaves us with a deeper understanding of both the world and ourselves.

6. Serendipitous Discoveries:

Some of the most cherished memories from a trip often stem from serendipitous discoveries – stumbling upon hidden gems, chance encounters with locals, or unexpected detours that lead to unforeseen adventures. Embracing the spontaneity of travel adds an element of magic to the journey.

7. Reflection and Rejuvenation:

Travel provides a precious opportunity for reflection and rejuvenation. Whether it’s finding solace in the lap of nature, meditating in a historic setting, or simply disconnecting from the hustle of daily life, a trip becomes a therapeutic journey for the mind, body, and soul.

Self Love

 SELF LOVE

In the hustle and bustle of our daily lives, amidst the demands of work, relationships, and societal expectations, one crucial aspect often takes a back seat – self-love. It’s a journey of acceptance, appreciation, and nurturing the most important relationship we’ll ever have – the one with ourselves. In this blog, let’s explore the profound impact of self-love, understanding its essence, and embracing practices that lead to a more fulfilling and empowered life.

1. The Essence of Self-Love:

At its core, self-love is not about arrogance or selfishness; it’s about recognizing and honoring our intrinsic worth. It involves treating ourselves with the same kindness, compassion, and understanding that we readily offer to others. Self-love is the foundation upon which a healthy and meaningful life is built.

2. Embracing Imperfections:

Self-love flourishes when we accept our imperfections as part of what makes us beautifully unique. Instead of dwelling on perceived flaws, see them as facets of your individuality. Embracing imperfections is a powerful act of self-love, fostering a sense of authenticity and freedom.

3. Prioritizing Self-Care:

Self-love manifests through self-care – a commitment to nourishing our physical, emotional, and mental well-being. Whether it’s a quiet moment with a book, a leisurely walk, or indulging in a favorite hobby, prioritize activities that bring joy and rejuvenate your spirit. Self-care is not a luxury; it’s a necessity for a balanced life.

4. Positive Self-Talk:

Our internal dialogue has a profound impact on our self-perception. Shift towards positive self-talk by replacing self-criticism with affirmations. Acknowledge your strengths, celebrate achievements, and be gentle with yourself during challenging times. Positive self-talk lays the groundwork for a resilient and empowered mindset.

5. Setting Boundaries:

Self-love involves setting boundaries that safeguard your well-being. Learn to say no when necessary, prioritize your needs, and surround yourself with people who uplift and respect you. Establishing healthy boundaries is an act of self-respect that fosters a supportive and positive environment.

6. Forgiveness and Letting Go:

Part of self-love is forgiving ourselves for past mistakes and letting go of lingering regrets. Understand that growth involves learning from experiences, and mistakes are stepping stones to personal development. Release the weight of self-judgment and embrace the freedom that forgiveness brings.

Shahrukh Khan

 SHAHRUKH KHAN

In the dazzling realm of Bollywood, Shah Rukh Khan stands as a colossal figure, a cinematic maestro whose journey from the streets of Delhi to the global stage is nothing short of an enchanting tale. Fondly hailed as the “King of Bollywood,” Shah Rukh Khan’s foray into acting began with the iconic television show “Fauji,” propelling him into the limelight. Renowned for his portrayal of romantic protagonists, from the unforgettable “Rahul” in “Dilwale Dulhania Le Jayenge” to the charismatic “Raj” in “Dil To Pagal Hai,” his on-screen presence redefined the language of love in Indian cinema. However, Khan’s prowess extends far beyond the realm of romance; his versatility is showcased in roles spanning intense dramas like “Devdas” to the suave charm of “Don.” Beyond the silver screen, Shah Rukh Khan is a global icon, captivating audiences internationally and breaking down cultural barriers. His entrepreneurial ventures, including ownership of the Kolkata Knight Riders and Red Chillies Entertainment, exemplify his multifaceted talents. Yet, Khan’s influence transcends mere stardom; he is an advocate for social change, actively engaging in philanthropy and lending his voice to causes close to his heart. As he continues to inspire with his performances, eloquent speeches, and commitment to making a positive impact, Shah Rukh Khan remains a luminary in the cinematic cosmos, leaving an indelible legacy that stretches far beyond the silver screen.

Beyond Borders: Shah Rukh Khan isn’t just a Bollywood phenomenon; he’s a global icon. His influence extends far beyond Indian shores, with a massive international fan following. From hosting global events to receiving accolades on foreign soil, he has become a cultural ambassador, introducing the world to the magic of Indian cinema.

Beyond the Silver Screen: Shah Rukh Khan’s entrepreneurial spirit is as vibrant as his on-screen persona. From owning the Kolkata Knight Riders in the Indian Premier League to his production company, Red Chillies Entertainment, he has expanded his footprint, proving that his business acumen matches his acting prowess.

A Heart as Big as His Stardom: Beyond the glamour of the film industry, Shah Rukh Khan is actively involved in philanthropy. His initiatives include supporting healthcare, education, and disaster relief efforts. His commitment to social causes reflects a deep sense of responsibility towards the community.

Words of Wisdom: Shah Rukh Khan’s eloquence extends beyond the screen. His speeches are often laced with wisdom, humor, and profound insights into life, success, and the pursuit of dreams. He inspires not only as an actor but also as a thought leader.


Relationship Advice

 RELATIONSHIP ADVICE

Relationships, whether romantic, familial, or friendships, are the threads that weave the intricate fabric of our lives. While they bring joy, support, and companionship, they also require effort, understanding, and effective communication. In this blog, we’ll explore practical relationship advice aimed at fostering strong and lasting connections, helping you navigate the complexities of human interactions with empathy and resilience.

1. Open and Honest Communication:

The Foundation of Connection: Communication forms the bedrock of any healthy relationship. Foster an environment where open and honest dialogue is encouraged. Share your thoughts, feelings, and concerns, and actively listen to your partner. Effective communication is a two-way street that builds trust and understanding.

2. Cultivate Empathy:

Walk in Their Shoes: Empathy is the ability to understand and share the feelings of another. It’s a powerful tool for building meaningful connections. Take the time to understand your partner’s perspective, validate their emotions, and show genuine compassion. Empathy creates a foundation of mutual support and understanding.

3. Quality Time Matters:

Invest in Shared Experiences: In our fast-paced lives, quality time becomes a precious commodity. Make a conscious effort to spend meaningful moments together. Whether it’s a date night, a weekend getaway, or simple shared activities, these experiences contribute to the emotional bank account of your relationship.

4. Respect Individual Identities:

Maintain Independence: While unity is crucial, maintaining individual identities is equally important. Encourage personal growth and pursue individual interests. A healthy relationship allows for both partners to flourish independently, bringing unique qualities to the collective bond.

5. Navigate Conflicts Constructively:

Embrace Solution-Focused Approaches: Conflicts are inevitable, but it’s how we navigate them that defines the strength of a relationship. Focus on finding solutions rather than assigning blame. Use “I” statements to express feelings, and approach disagreements as opportunities for growth and understanding.


Time Management

 TIME MANAGEMENT

In a world where time is both a finite resource and a constant companion, the ability to manage it effectively becomes a skill of paramount importance. Time management isn’t just about squeezing more tasks into your day; it’s about prioritizing, optimizing, and finding a balance that allows you to accomplish your goals without sacrificing your well-being. This blog is a journey into the art and science of time management, exploring strategies to help you make the most of every moment.

Understanding the Value of Time:

The Currency of Productivity: Time is the currency with which we purchase productivity. Understanding its value is the first step towards effective time management. Every hour spent wisely is an investment in your personal and professional growth.

Prioritization as a Compass: Time management is essentially about making choices. Prioritization serves as your compass, guiding you to allocate time to tasks that align with your goals and values. Identify what truly matters to you, and let that guide your daily decisions.

Strategies for Effective Time Management:

Time Blocking Techniques: Allocate specific blocks of time to distinct tasks or categories of tasks. This helps in maintaining focus, reducing multitasking, and ensuring that you make progress in key areas without feeling overwhelmed.

The Pomodoro Technique: Break your work into intervals, traditionally 25 minutes in length, separated by short breaks. This method enhances focus and prevents burnout by providing structured, rhythmic work periods.

Cultivating Effective Habits:

Start with the Most Important: Tackle your most important or challenging task first thing in the morning when your energy and focus are at their peak. This sets a positive tone for the day and ensures that critical tasks are not neglected.

Limiting Distractions: Identify and minimize distractions in your environment. This may involve silencing notifications, creating a dedicated workspace, or using apps that block certain websites during work periods.

Adapting to Change and Learning from Challenges:

Flexibility in Planning: Life is inherently unpredictable, and plans may need to be adjusted. Embrace flexibility in your schedule and be open to adapting when unexpected priorities arise.

Reflection and Improvement: Regularly reflect on your time management practices. What worked well? What could be improved? Continuous self-assessment allows for refinement and ensures that your time management strategies remain effective.

Cybersecurity

CYBERSECURITY 

In an era defined by interconnectedness and technological marvels, the digital frontier holds both promises and perils. As our lives become increasingly entwined with the online realm, the importance of cybersecurity emerges as a critical safeguard against cyber threats. This blog delves into the intricacies of cybersecurity, exploring its significance, evolving challenges, and the measures we can take to fortify our digital existence.


The Significance of Cybersecurity:

Guardians of the Digital Realm: Cybersecurity serves as the vigilant guardian of our digital assets, protecting sensitive information from falling into the wrong hands. From personal data to organizational secrets, the stakes are high in an era where information is a valuable currency.

Preserving Privacy: As we navigate the vast landscape of the internet, our digital footprints grow. Cybersecurity ensures that our privacy remains intact, shielding us from the prying eyes of malicious entities seeking to exploit vulnerabilities.

Evolving Cyber Threats:

The Shape-Shifting Adversary: Cyber threats are not static; they evolve with technological advancements. From traditional malware to sophisticated phishing schemes and ransomware attacks, the adversary constantly adapts. Understanding these threats is paramount to developing effective cybersecurity strategies.

Social Engineering Challenges: The human factor is often the weakest link in cybersecurity. Social engineering tactics, such as phishing emails and pretexting, manipulate individuals into divulging confidential information. Cybersecurity education becomes a crucial defense against such manipulative strategies.

Cybersecurity Measures:

Robust Password Practices: The age-old advice of creating strong, unique passwords remains a foundational aspect of cybersecurity. Implementing multi-factor authentication adds an extra layer of protection, fortifying digital gates against unauthorized access.

Regular Software Updates: Cyber attackers often exploit vulnerabilities in outdated software. Regular updates and patches help close these security gaps, reducing the risk of exploitation. Automated updates ensure that systems remain resilient against emerging threats.

Employee Training Programs: Organizations must invest in cybersecurity training for employees. Educating staff about potential threats, safe online practices, and the importance of reporting suspicious activities can significantly enhance the overall cybersecurity posture.