Category: Science

The Healthcare Systems

Only healthy citizens can contribute to a healthy economy. The government of a country provides the necessary funds for the health plan in its budget. In addition, during an epidemic or pandemic, the government ensures the health of its citizens through large-scale tests. And treatment The government is also taking various measures to educate the public about epidemics. In addition, the government is raising public awareness of the causes and preventive measures of various diseases. A large-scale immunization program has also been carried out to prevent the occurrence of many bacterial and viral diseases. The health system of one country is different from that of another country. In India, health services are provided by the public and private sectors. The health system includes hospitals, telemedicine, insurance doctors, etc. In India, the health structure consists of three, two, and three levels. Primary includes sub-centers and primary health care centers. The second level includes community health centers, while the third level includes hospitals and medical schools.

Sub-center:

This is the main point of contact between the health system and patients. It is composed of male and female health professionals and a volunteer.

Primary Medical and Health Center:

This is the main point of contact between villagers and doctors. Medical professionals and nursing staff are part of APS. The main functions of APS are vaccination plan, contraceptive plan, pregnancy care, etc.

Community Health Center:

Including doctors, pediatricians, gynecologists, surgeons, and equipped with operating rooms, X-ray machines, etc.

The private sector

The private sector has also contributed to providing health services to the majority of the population. Through telemedicine, many private medical hospitals and new medical companies are also providing high-quality medical services to rural residents.

Conclusion

The health information system is the future of the medical center. Even so, many hospitals are skeptical about the introduction of this new technology. There are two reasons for this: high cost and implementation process. Changing the initial process This may sound daunting, but we guarantee that the results are worthwhile.

MACHINE LEARNING – THE MIRACLE

In the real world, we are learning new things every day and improving our decision-making skills on the basis of successful decisions in the past. Isn’t this human learning? If we now use computers to fully automate this process, what will it be? This will be machine learning.

Everyday applications

We use it a dozen times a day without even realizing it. Every time you perform a Google search, your machine learning software will figure out how to categorize the pages you want to visit. Also learn that if you read emails from your inbox, the smart spam filter can save you from browsing a lot of spam.

THE TECHNICAL UNDERSTANDING

Recently, Tom Mitchell described machine learning as a computer program. It is said that the program learns from experience E related to task T and performance metric P because its performance in T is improved by the P metric. Experience E Let us give an example of an online chess game, in which each game is a task T, and the process of the game is the experience E. Each game has a final result, which is a performance indicator P. This performance indicator is to win. Probability of a game against a new opponent. Now that the computer has the patience to play tens of thousands of games alone, it can further improve your chances of winning consecutively. Machine learning technology: a brief overview We all know how computers work, we all know How the computer works, we have simplified many operations. Now we are trying to get computers to examine all the macro and micro levels of human thought processes that lead to multiple decision-making skills. By developing truly intelligent machines, we can do almost anything you and I can do. This work consists of complex algorithms and functions of artificial intelligence applications running in expert systems. With every action you take, the computer will learn self-learning and self-esteem through progressive, keen, and precise decision-making skills. The computer learns to remember a past experience and process them according to the archived tasks and the resulting performance level. Development of actions/results in a specific context or situation.

FUTURE ASPECTS AND THE SCOPE OF IMPROVEMENT

Machine learning is not limited to Google search or Amazon prediction. It is widely used in medical diagnosis, where tiny patterns are revealed to predict disease. Machine learning can have a positive impact on treatment and subsequent procedure decisions. Financial transactions, data mining, fraud detection, speech recognition, spam prevention, and language translation are some other areas where machine learning is used. The company uses the technology to predict the relevance of products based on the collected data. Let us see what machine learning can bring to the future. A fully functional self-driving car is expected to be available at the end of 2018. Natural language processing has developed a subset of machine learning so that students can improve search results and translations based on the search context. It will also help digital assistants like Siri interact with Humans On Cyber ​​Security Front, a machine learning model that can analyze the structure of inbound or outbound traffic to detect and stop suspicious before continuing damage occurs. activity. Decisions and code changes can be made without explicit programming, which makes machine learning an inevitable trend now and in the future.

INTERNATIONAL ATOMIC ENERGY AGENCY

IAEA • International organization -promote the
peaceful use of nuclear energy.

• Inhibits the use of nuclear energy for any military purpose.

• Autonomous organization – 29 July 1957.

• Established independently of the United Nations
-IAEA Statute.

• Still reports -United Nations General Assembly
and Security Council.

Offices

• Headquarters – Vienna, Austria.

• Regional Safeguards Offices- Toronto, Canada,
and in Tokyo, Japan.

• Liaison offices -New York City, United States, and in Geneva, Switzerland.

• Laboratories and research centers.

Significance

• Intergovernmental forum for scientific and technical co-operation -peaceful use of nuclear technology and nuclear power.

• Development of peaceful applications of nuclear
energy and science and technology.

• Provide international safeguards against misuse
of nuclear technology and nuclear materials.

• Promote nuclear safety (radiation protection)
and nuclear security standards and their
implementation.

Members.

• IAEA – 173 member (April 2021).

• India became a member in 1957 itself.

Organic Farming

Organic farming is an advanced and a practical type of horticulture that gives customers new regular ranch items. Natural cultivating works in syn-chronization with nature instead of against it. This goal is accomplished by utilizing strategies to improve crop yields without hurting the regular habitat just as the individuals who live and work in it. Natural agribusiness offers an exclusive mixture of climate agreeable practices, which require low outside sources of info, in this way adding to expanded food accessibility. Natural cultivating has an extremely sure impact particularly on winged creatures, creepy crawlies, weeds, untamed life, and soil verdure. Regular cultivating is capital escalated, which requires more manu-factured sources of info and energy when contrasted with information and work concentrated natural cultivating. Natural horticulture utilizes energy more capability than customary agri-culture. When contrasted with traditional agribusiness, natural cultivating produces practical food items, liberated from manufactured composts and pesticides. It likewise gives business openings and monetary advantages to neighborhood networks. The meth-ods used in natural cultivating are all the more exorbitant and work serious, however end up being more savvy over the long haul. Since natural agribusiness supplies more green-house gases in the dirt, the ranchers across the globe can address the atmosphere fiasco by changing to natural techniques. Furthermore, natural agribusiness can possibly address food security issues. Enough proof is accessible to demonstrate that natural harvests are a preferable wellspring of supplements over their comparing ordinary structures. Natural frameworks give higher creature invulnerability and expanded infection protection from plants, with 50 % less mycotoxins in yields and a diligent timeframe of realistic usability.
They have higher micronutrient content, and more conjugated fatty acids for better human health, including lower incidences of noncommunicable diseases. Organic agriculture merges modernism, custom, and science to manage the shared surroundings encouraging fair relationship and high quality of life for everyone involved.

Message Queuing Telemetry Transport (MQTT)

MQTT is a lightweight publish and subscribe system that allows clients to send and receive messages.

MQTT is a low-bandwidth messaging system developed for limited devices. As a result, it’s ideal for Internet of Things applications.

MQTT allows you to control outputs, read and publish data from sensor nodes, and send commands to control outputs. As a result, setting up communication across many devices is simple.

The server is in charge of responding to client requests for data to be received or sent between them. A broker is an MQTT server, while clients are just linked devices.

MQTT Components 

  1. Subscribe and Publish
  2. Message
  3. Topic
  4. Broker
  1. Subscribe and Publish

A device can either publish a message on a topic or subscribe to a topic to receive messages in a publish and subscribe system. 

For example,

Device_1 publishes on a certain topic.

Device_2 is subscribing to the same topic as Device_1 publishes.

As a result, the message is received by Device_2.

  1. Message

Messages are the information you wish to send and receive between your devices. It doesn’t matter if it’s a command or data.

For example, if we are publishing temperature data to the cloud, this data is referred to as a Message.

  1. Topic

Topics are how you indicate your interest in incoming messages or where you wish the message to be published.

Strings separated by a forward slash are used to denote topics. A topic level is indicated by each forward slash.

For Example,

  1. Broker

The broker is in charge of receiving all messages, screening them, determining who is interested in them, and finally publishing the message to all subscribers.

QoS – Quality of Service 

With an integer number ranging from 0-2, each connection can indicate a level of service to the broker.

0 denotes at most once, or once and only once without needing an acknowledgment of delivery. This is known as the “fire and forget” strategy. When a sender sends a message, it doesn’t care if it’s delivered to the intended recipient or if it’s resent.

1 denotes at least once. The message is delivered several times until it receives an acknowledgment, which is known as acknowledged delivery. The Sender waits for the receiver’s acknowledgment after sending a message. It resends the message if it does not get an ACK. This option ensures that the message is delivered at least once, but it does not ensure that it is repeated.

2 denotes exactly once. A two-level handshake is used by the sender and receiver clients to ensure that only one copy of the message is received, which is known as ensured delivery.

Example of MQTT

Suppose, there is a device with a temperature sensor. And, it wants to send its readings to the broker. A phone/desktop application, on the other hand, want to get this temperature value. As a result, two things will occur:

  • The device specifies the topic on which it wishes to publish, for example, “temp.” The message “temperature value” is then published. 
  • The “temp” topic is subscribed by the phone/desktop application. The device’s published message, which is the temperature reading, is then received.

The broker’s job is to transmit the message “temperature value” to the phone/desktop application.

How to use the phone as a webcam for your PC

In these pandemic situation there no offline meetings and interviews. Video conference is daily habited in these time , we are using lot of application for video conference like Google meet, zoom meet, Microsoft teams , Skype and  jio meet

Most of people facing problems while hosting and interviews times ,our laptops and PC doesn’t have good quality of video

Then , is there any way to optimise for good quality of video . yes there is a way for that problem

In these day every one have mobile phones , by those mobile phone we can as a webcam

Are you thinking I am joking , then just follow my instruction you will be find my word are no joke..

I have research many application but ,I  recommended an application Droidcam  that can be download by our favourite  app stores

Now  you connect your PC or a Laptop over the same Wi-Fi network or with the help of a USB cable. If you downloaded the DroidCam app on your phone from the app store, then download the DroidCam Client on your Windows laptop or PC

There are two ways :

  • Using wi-fi
  • Using cable
  • using Browser

Using Wi-Fi

Open  the DroidCam app on your phone and click on the ‘Wireless’ option.

Then next screen should display the ‘WiFi IP’ and ‘DroidCam Port’ . If your ‘WiFi IP’ appears 0.0.0.0, then you are not connected to the Wi-Fi.

Open the DroidCam Client on your PC or laptop and enter the ‘WiFi IP’ and ‘DroidCam Port’ as displayed on your mobile phone. Click on the ‘Start’ button.

Now start the video conferencing app and check the webcam  by clicking on the ‘Webcam’ or ‘Video’ settings.

Using cable

Connect your mobile phone   to your PC  or Laptop with  USB cable.

We have remember to note is that you need iTunes downloaded on your  PC to connect using USB cable. If you do not have iTunes, you can download it . Once you login to iTunes, it will automatically detect your mobile Phone.

Start the DroidCam Client, select the ‘USB’ option and tap on ‘Start’.

using Browser

 DroidCam mobile phone application also connect to the camera using a web browser.

Then you  have to  connect your phone to a Wi-Fi and open DroidCam application.

Lunch  Chrome on your Laptop or PC and enter the ‘Browser IP Cam Access’ data then ‘http://192.168……./video’ and click on  enter.

If you have wish to specify the resolution of the video in the URL by using the path including ‘force’. example – http://192.168…./video.force?1280×720.

The application  DroidCam Wireless Webcam we used was the free ver . You canl also find the paid ver of this app, called the DroidCamX Wireless Webcam Pro in  the Google Play Store. The paid version application supports HD video streaming with out ads

there is one more application I recommends i.e Xsplit connect

MACHINE LEARNING

Machine learning is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.

Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems

Machine learning allows the user to feed a computer algorithm an immense amount of data and have the computer analyze and make data-driven recommendations and decisions based on only the input data.

Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.

For example, medical diagnosis, image processing, prediction, classification, learning association, regression etc. The intelligent systems built on machine learning algorithms have the capability to learn from past experience or historical data.

Common machine learning problems

1) Understanding Which Processes Need Automation.

2) Lack of Quality Data.
 
3) Inadequate Infrastructure.
 
4) Implementation.
 
5) Lack of Skilled Resources

These are three types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.

                
                           “Machine learning will automate jobs that most people thought could only be done by people.”
                          
                                         ~Dave Waters

Artificial Intelligence (AI)

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing (NLP), speech recognition and machine vision.

Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans. For example, speech recognition, problem-solving, learning and planning.

The Four Types of AI

• Reactive Machines. Reactive machines are the simplest level of robot.

• Limited Memory. A limited memory machine, as the name might suggest, is able to retain some information learned from observing previous events or data.

• Theory of Mind.

• Self-awareness

The basic objective of AI ( machine intelligence) is to enable computers to perform such intellectual tasks as decision making, problem solving, perception, understanding human communication (in any language, and translate among them).

Artificial Intelligence Examples

• Manufacturing robots.
• Self-driving cars.
• Smart assistants.
• Proactive healthcare management.
• Disease mapping.
• Automated financial investing.
• Virtual travel booking agent.
• Social media monitoring.

Artificial intelligence is impacting the future of virtually every industry and every human being. Artificial intelligence has acted as the main driver of emerging technologies like big data, robotics and IoT, and it will continue to act as a technological innovator for the foreseeable future.

Artificial Intelligence enhances the speed, precision and effectiveness of human efforts. In financial institutions, AI techniques can be used to identify which transactions are likely to be fraudulent, adopt fast and accurate credit scoring, as well as automate manually intense data management tasks.

“As more and more artificial intelligence is entering into the world, more and more emotional intelligence must enter into leadership.”

-Amit Ray, Famous AI Scientist, Author of Compassionate Artificial Intelligence

What you should know about IVF-Technology

IVF or In Vitro Fertilization is one of the famous fertility treatment where eggs from a woman’s ovaries are is retrieved and fertilized in vitro that is in laboratories with the sperm to produce embryo. This embryo can be stored by freezing or can be transferred to woman’s uterus. This technique became a boon to couples who were facing infertilely or pregnancy related issues.

SOME OF THE INFERTILITY ISSUES:
  • Chances of fertility is reduced in woman over 40 years of age.
  • There may be damages in the fallopian tube of the female which may be causing infertility.
  • Reduction in the function of the ovaries due to various reasons.
  • Endometriosis– Where the tissue that normally grows inside the uterus, lining it, will grow outside it.
  • Uterine fibroids – Non cancerous growths in the uterus
  • In males, low sperm count
  • Abnormalities in sperm shape
WHAT ARE THE PROCEDURES BEFORE IVF

Before IVF women undergoes ovarian reserve testing which involves tests for the level of follicle stimulating hormone in blood. Examination of the uterus usually by doing ultrasound to know the health of the uterus. Men will have sperm testing which is done by taking semen sample and analyzing for the sperm size, number and shape. If the sperms are weak or damaged, intracytoplasmic sperm injection (ICSI) is performed where sperm is directly injected to the egg by the technician. Otherwise sperms are left to fertilize the egg in incubation.

EMBRYO
HOW IVF IS PERFORMED
  1. Stimulation: IVF requires multiple eggs to make sure that viable embryos are produced. A woman produces only one egg during one menstrual cycle. So drugs are injected into female body to stimulate the production of multiple eggs. The doctor will perform multiple blood tests to monitor the production of eggs and to decide when to retrieve them.
  2. Egg retrieval: It is a surgical process. Doctor uses an ultrasound wand to direct a needle into the ovaries through vagina to an egg containing follicle. This needle takes out the eggs through suction.
  3. Insemination: Semen sample is taken by the male partner. Technician will mix the sperm with the eggs in a petri dish. If it did not work they may go for ICSI.
  4. Transfer: Normally after 3-5 days after insemination, when embryos become big enough, they are implanted into the uterus. A catheter is introduced into vagina past the cervix into uterus. Embryo is released. Then embryo implants itself to the uterine wall. A blood test will determine if the female is pregnant or not.

POSSIBLE COMPLICATIONS

SOME OF THE MYTHS ABOUT IVF

  • IVF can be done at any age: This is not true. As the age of women increases she may not be able to produce many eggs and that time IVF can not be done.
  • Fertility drugs cause cancer: The drugs used to stimulate egg production are safe. No studies have shown increased risk of cancer.
  • IVF babies have risk of birth defects and malformations: Not true. Even though there is slight increase in the malformation as compared to normal births, but the risk remains low as studies say.
  • IVF is dangerous: IVF is not dangerous. Only 1-2% patients become unwell.
  • IVF is for rich people: This is little bit costly but less expensive compared to other surgical treatments.
LEGAL ASPECT OF IVF

IVF is legal in India. But there is no specific law regarding the aspect. But IVF has gained public attention and needs a good law to monitor.

Football Analytics

Introduction

Data analytics have come to play an important role in the football industry today. Clubs look to gain a competitive edge on and off the pitch, and big data is allowing them to extract insights to player scouting, improve player performance, prevent injuries, their suitability to the club’s system and ethos, output prediction and increase their commercial efficiency. However, contextualizing the information and extracting valuable insights is not always an easy task.

Moneyball & Football

Overtime, Analytics has started to play more important roles in Football with respect to player recruitment. There are many Football clubs in the world who pride themselves over their player recruitment models based purely data and metrics. Billy Beane, the pioneer of the ‘Moneyball’, a system of player recruitment based purely on stats instead of the old, tried and tested ‘eye-tested’ proved to revolutionise recruitment in Baseball. Nowadays clubs like Liverpool FC, Brentford FC, Barnsley, Midtjylland, AZ Alkmaar the Red Bull Franchise and many other clubs are known for their data driven approach to player recruitment.

The Metrics

There are many metrics over which a football player is analysed. These include Xg(Expected Goals), Xa(Expected assists), turnovers, dribbles, different per 90 minutes stats like passes, dribbles, pressures, tackles, interceptions etc. These stats can be viewed by the helps of charts and graphs which can present a player’s overall stats and make it easy for assessment. This model also helps in predicting potential risks and assessing the weaknesses of a player which reduces the chances of signing a player who can prove to be a flop, significantly.

Future

Moneyball and the modern data driven approach in football has been proved to be a efficient, smart and cost effective way of recruitment. This model has allowed many smaller clubs to punch above their weight and challenge the bigger, more established clubs and have a successful trophy winning runs.

There are many football applications and websites available where one can view player stats like Sofascore, StatsBomb, FbRef etc. This field has gained more demand recently and many clubs are moving towards a pure data driven approach towards recruitment.

https://statsbomb.com/

http://sbibarcelona.com/test/data-analytics-in-the-football-industry/#:~:text=Data%20analytics%20have%20come%20to,and%20increase%20their%20commercial%20efficiency.

DETECTING THE UNIFIED CALL OF BLACK HOLES

Gravitational Waves

• An invisible, incredibly fast ripple in space- travel at the speed of light and squeeze and stretch anything in their path as they pass by.

• Albert Einstein’s prediction: When two bodies,
such as planets or stars, orbit each other- could cause ripples in space.

• Most powerful gravitational waves are created when objects move at very high speeds.

• Events that could cause a gravitational wave are:
 When a star explodes; When two big stars orbit each other; When two black holes orbit each other and merge.
• Sometimes, these events only cause small, weak
gravitational waves- hard to detect.

• 2015: Scientists detected gravitational waves
for the very first time- using LIGO.
 Happened when two black holes crashed
into one another- happened almost 1.3 billion years ago.

Laser Interferometer Gravitational-Wave
Observatory (LIGO)

• Made up of two observatories- one in Louisiana and one in Washington.

• Each observatory has two long “arms”: each more than 4 kilometres long.

• When a gravitational wave passes by Earth, it squeezes and stretches space- detected by LIGO.

• A passing gravitational wave causes the length of the arms to change slightly.

• Uses lasers, mirrors, and extremely sensitive instruments to detect these tiny changes.

IndIGO (Indian Initiative in Gravitational-wave
Observations)

• An initiative to set up advanced experimental
facilities, with appropriate theoretical and computational support, for a multi-institutional Indian national project in gravitational-wave astronomy.

• IndIGO plans on gravitational-wave astronomy related to the LIGO-India project.
LIGO-India Project.

• A planned advanced gravitational-wave detector to be located in India.
• To be built and operated in collaboration with the LIGO USA and its international partner Australia, Germany and the UK.

• Scheduled for completion in 2024- will be built in the Hingoli District of Maharashtra state in
western India.

Pollution post Covid

Plastic items have played noteworthy parts in securing individuals amid the COVID-19 widespread. The far reaching utilize of individual defensive adapt made a gigantic disturbance within the supply chain and squander transfer framework. Millions of disposed of single-use plastics (veils, gloves, smocks, and bottles of sanitizers) have been included to the earthly environment and might cause a surge in plastics washing up the sea coastlines and littering the seabed. This paper endeavors to evaluate the natural impressions of the worldwide plastic squanders created amid COVID-19 and analyze the potential impacts related with plastic contamination. The sum of plastic squanders created around the world since the flare-up is evaluated at 1.6 million tonnes/day.

We assess that around 3.4 billion single-use facemasks/face shields are disposed of every day as a result of COVID-19 widespread, universally. Our comprehensive information investigation does demonstrate that COVID-19 will invert the energy of years-long worldwide fight to diminish plastic squander contamination. As governments are looking to turbo-charge the economy by supporting businesses climate the widespread, there’s an opportunity to revamp unused businesses that can enhance unused reusable or non-plastic PPEs. The unforeseen event of a widespread of this scale has come about in unmanageable levels of biomedical plastic squanders. This master understanding endeavors to raise mindfulness for the selection of energetic squander administration methodologies focused on at lessening natural defilement by plastics created amid the COVID-19 widespread.

Coronavirus lockdowns around the globe have driven to a sensational 5% drop in nursery gas emanations, agreeing to UNCTAD gauges, but not all measures to contain the widespread have had a positive affect on the environment. Our lanes, shorelines and sea have been hit by a tidal wave of COVID-19 squander counting plastic confront veils, gloves, hand sanitizer bottles and nourishment packaging. “Plastic contamination was as of now one of the most prominent dangers to our planet some time recently the coronavirus outbreak,” said Pamela Coke-Hamilton, UNCTAD’s executive of worldwide exchange. “The sudden boom within the every day utilize of certain items to keep individuals secure and halt the malady is making things much worse.” Global deals of expendable confront veilsmasksveilscovers alone are set to skyrocket from an evaluated $800 million in 2019 to $166 billion in 2020, concurring to commerce counseling firm Grand See Research. But typically as it were portion of the story. Social separating has moreover driven to a surge of items conveyed every day to homes – wrapped

Plastic is an fixing in endless items exchanged globally each day – from cars to toys to family machines. Indeed merchandise that contain no plastic, such as apples or chocolate bars, are dispatched in millions of tons of plastic bundling each year. “Plastic generation and utilization are a worldwide framework that has parts of exchange dimensions,” Ms. Coke-Hamilton said. “But the vital part that worldwide exchange approaches may play within the battle against plastic contamination has not earned the consideration it deserves,” she said whereas showing an UNCTAD investigation of exchange in plastics, maintainability and advancement to the World Exchange Organization’s exchange and environment committee on 3 July. The number of exchange measures specifying plastics – such as specialized controls, appropriations, licenses and bans – detailed to the WTO has expanded yearly by 28% over the past decade, appearing developing concern among WTO members. “But the way nations have been utilizing exchange approach to battle plastic pollution

Other than directing the generation and utilization of plastics, UNCTAD inclinations governments and businesses to recognize non-fossil fuel plastic substitutes. The list of non-toxic, biodegradable or effortlessly recyclable materials that seem supplant plastic incorporates numerous well-known materials, such as glass, ceramics, characteristic strands, paper, cardboard, rice husk, common elastic and creature proteins. As creating nations are key providers of numerous plastic substitutes, expanded worldwide request seem make unused, greener exchange and venture openings for them. Developing countries supply, for case, 92% of the world’s jute, with the most providers being Bangladesh (74%) and India (9%). They moreover accounted for 94% of worldwide common elastic sends out in 2019, with Thailand (31.5%), Indonesia (30%) and Côte d’Ivoire (8.5%) driving the pack. Developing nations have a enormous stake within the worldwide plastics economy. Their share of worldwide plastics generation hopped from 43.5% in 2009 to 58% in 2018. And two

TOP 6 ARTIFICIAL INTELLIGENCE DOCUMENTARIES

The Social Dilemma

The Social Dilemma, which published in 2020, discusses the rise of social media and how it impacts society’s thinking as a whole. It is a documentary film made by Jeff Orlowski that discusses many facets of social media and how it may affect people’s thoughts if not handled appropriately. The artificial intelligence video also sheds attention on teenage mental health concerns. It demonstrates how artificial intelligence algorithms could operate in the context of social networking. The social problem also includes interviews with former Facebook, Google, and Apple employees.

iHuman

iHuman is a documentary on machine learning, political order, and power that demonstrates how AI has transformed human lives. It also discusses how AI influences society and our destiny. The documentary features interviews with AI researchers Ilya Sutskeve and Jürgen Schmidhuber, as well as discussions about how AI may be created and applied. Some personalities symbolise AI and demonstrate its significance in today’s society. iHuman premiered at the 2019 International Documentary Film Festival Amsterdam.

Hi, A.I

Hi, A.I is a film about how people connect with artificial intelligence robots. In 2019, Isa Willinger directed the film, which was funded by Stefan Kloos. It highlights human interactions while also discussing AI progress, degrees of AI, and other AI and robotics research.

Lo and Behold

Wener Herzog produced the documentary movie Lo and Behold, reveries of the linked world, which was released in 2016. It covers robots, artificial intelligence, the web, the internet of things, and other topics. Interviews with luminaries in the fields of artificial intelligence and innovation, such as Elon Musk, Sebastian Thrun, Bob Kahn, and others, are included in the film.

AlphaGo

The trip from Cambridge to Seoul is shown by AlphaGo. Go, a Chinese game, has been viewed as a test for AI, and in March of 2016, the worlds of Go and AI clashed in South Korea, where hundreds of thousands of people viewed a game tournament. For the very first time in human history, a famous Go master faces off against an AI adversary in AlphaGo. The film explores what artificial intelligence can teach us about mankind and what it can disclose about the 3000 years old game.

TechnoCalyps 

TechnoCalyps is a 2006 documentary directed and written by Frank Theys on the advancement of technology. It’s a 3-part documentary that covers automation, artificial intelligence, cybernetic implants, nanotechnology, and other topics. Interviews with renowned specialists in the area are also included in the film.

JET AIRWAYS ISSUE

• Factors that led to the issue:
 2015 – Jet acquired Air sahara – with huge price – led to huge loses.
 Competition from low budget airlines like Indigo, Go-air.
 Rising fuel prices.

• Debt – ₹8,000 crore to lessors, suppliers, pilots and oil companies.

• Lenders were searching for prospective buyers.

• Denied ₹400 crore as emergency fund – later
it was jet grounded.
• A Resolution Plan: rehabilitation plan for a
Corporate Debtor (CD) going in insolvency.
 Section 5 (26) of IBC 2016 – “Resolution plan means a plan proposed by resolution
applicant for insolvency resolution of the corporate debtor as a going concern in
accordance with Part II”
• Mandatory contents of the resolution plan:
Financial creditors and Operational creditors.
 Financial creditors: relationship with the entity is a pure financial contract – loan or a debt security.
 Operational creditors – liability from a transaction on operations.

• Committee of creditors (CoC) is set up – comprising of financial creditors.
 Appoint a resolution personal/ professional.

• Resolution personal
 Appointed by CoC
 Presents a resolution plan to the CoC
 CoC must approve a resolution plan.
 Resolution process must be
completed within 180 days – may be extended by a period of up to 90 days after NCLT’s approval.

Jet Airways Resolution Plan.

• Mumbai Bench of the NCLT has approved it.

• Resolution plan from a consortium.
 UAE-based businessman Murari Lal Jalan and U.K.- based Kalrock Capital. • Details
 Total claims – ₹15,432 crore
 Jalan-Kalrock consortium – to pay creditors & banks – ₹1,183 crore over a 5 period.
 First tranche of ₹280 crore – paid in cash after 180 days of the new promoters taking ownership of the jet airline.

 Second instalment of ₹195 crore – paid in next 730 days.
 Balance – paid through a mix of cash, proceeds generated from the sale of assets and annual cash flows generated by airline.
 Stock the distribution
 Banks – 9.5%
 Consortium – 89.79%
 Employees – 0.5%
 Public shareholding – 0.21% • Challenge – Getting the slots back for the jet airlines is going to be difficult and expensive.

Airways

CLUES FROM METEORITE TO EARTH’S MANTLE

News

• Meteorite fell near the town of Kamargaon in Assam in the year 2015 .

• Studying this meteorite and its minerals – may give new clues about the Earth’s lower mantle.

Meteorite

• Meteoroids – space rocks that range in size from dust grains to small asteroids.
 Pieces of larger bodies that have been broken – from comets, asteroids, Moon and other planets.
 Rocky, metallic, or combinations of rock and metal.

• Meteors – meteoroids that enter Earth’s or another planet’s atmosphere, at high speed and burn up.

• Meteorite – if meteoroid survives its trip through the atmosphere and hits the ground.

Asteroids

• Rocky, airless remains – left
over from the early formation of our solar system – 4.6 billion years ago.

• Sometimes called minor planets

• Small, rocky objects that orbit the sun.

• Much smaller than planets. • Most of them live in the main asteroid belt.

• Trojans – asteroids that exist behind Jupiter.

• Near Earth Objects – Asteroids that come close
to Earth.

Main Asteroid belt

• Region between the orbits of Mars and Jupiter.

• Contains between 1.1 and 1.9 million asteroids larger than 1 kilometer in diameter. • Reason for existence of such large numbers of rocky bodies
 Gravity of newly formed Jupiter – caused the small bodies to collide with one
another, fragmenting them.

Source of image – http://www.imo.net