What is the richest company in the world? If you think tech companies dominate the list you thought wrong. Good ol’ Walmart tops the list with a value more than twice of Apple’s, the richest company to come out of Silicon Valley. Here’s an updated 2018 list of the richest companies in the world for 2018.
Walmart– $485.9 billion revenue in 2017
State Grid Corporation of China– $315.2 billion revenue in 2017
Sinopec Group– $267.5 billion revenue in 2017
China National Petroleum Corporation– $262.6 billion revenue in 2017
Toyota Motor– $254.7 billion revenue in 2017
Volkswagen– $240.3 billion revenue in 2017
Royal Dutch Shell– $240 billion revenue in 2017
Berkshire Hathway– $223.7 billion revenue in 2017
Apple Inc.– $215.6 billion revenue in 2017
Exxon Mobil– $205 billion revenue in 2017
There are several parameters by which the richest companies in the world are ranked. These include market cap, revenue, profits, and brand value. For instance, Statista.com lists the top 10 largest companies in the world by market value. The list includes leading companies that have made it big in the stock market in recent times such as Facebook, Amazon, and Alphabet. The topper is Apple whose market cap is a whopping $913.17 billion in March 2018.
The Top 30 U.S. companies are listed below based on their total revenue in the financial year ending on or before Jan 31, 2018
Assumptions: Some of these companies are involved in multiple economic sectors; the Infograph shows only their primary ones.
Top 30 U.S. companies by Revenue
You may be wondering, “How is Google not here?!” The answer is Google is a subsidiary of Alphabet Inc., and Alphabet is shown here.
Home Depot receives more money that Microsoft in sales, however their margins are much lower so their expenses are higher and earnings are much lower than Microsoft.
Interesting to note that San Francisco has 5 and Seattle has 3. L.A. has 0.
6 of the top 30, and 4 of the top 15 are Healthcare Companies.
The “Change” percentage refers to how much the company’s revenue has grown or shrunk since it’s previous fiscal year.
Ever wondered How to be HAPPY in Life? Friends, as I sat in the park after my morning walk, my wife came and slumped next to me. She had completed her 30-minute jog. We chatted for a while. She said she is not happy in life since new year 2019. I looked up at her sheer disbelief since she seemed to have the best of everything in life.
“Why do you think so?” “I don’t know. Everyone tells I have everything needed, but I am not happy. “Then I questioned myself, am I happy? “No,” was my inner voice reply. Now, that was an eye-opener for me. I began my quest to understand the real cause of my unhappiness, I couldn’t find one.
I dug deeper, read articles, spoke to life coaches but nothing made sense. Even started Artwork to find HAPPYNESS and Wellbeing. At last my doctor friend gave me the answer which put all my questions and doubts to rest. I implemented those and will say I am a lot happier person.
She said there are four hormones which determine a human’s happiness –
3. Serotonin, and
It is important we understand these hormones, as we need all four of them to stay happy.
Let’s look at the first hormone the Endorphins. When we exercise, the body releases Endorphins. This hormone helps the body cope with the pain of exercising. We then enjoy exercising because these Endorphins will make us happy. Laughter is another good way of generating Endorphins. We need to spend 30 minutes exercising every day, read or watch funny stuff to get our day’s dose of Endorphins.
The second hormone is Dopamine. In our journey of life, we accomplish many little and big tasks, it releases various levels of Dopamine. When we get appreciated for our work at the office or at home, we feel accomplished and good, that is because it releases Dopamine. This also explains why most housewives are unhappy since they rarely get acknowledged or appreciated for their work. Once, we join work, we buy a car, a house, the latest gadgets, a new house so forth. In each instance, it releases Dopamine and we become happy. Now, do we realize why we become happy when we shop?
The third hormone Serotonin is released when we act in a way that benefits others. When we transcend ourselves and give back to others or to nature or to the society, it releases Serotonin. Even, providing useful information on the internet like writing information blogs, answering peoples questions on Quora or Facebook groups will generate Serotonin. That is because we will use our precious time to help other people via our answers or articles.
The final hormone is Oxytocin, is released when we become close to other human beings. When we hug our friends or family Oxytocin is released. The “Jadoo Ki Jhappi” from Munnabhai does really work. Similarly, when we shake hands or put our arms around someone’s shoulders, various amounts of Oxytocin is released.
So, it is simple, we have to exercise every day to get Endorphins,
We have to accomplish little goals and get Dopamine,
We need to be nice to others to get Serotonin and
Finally hug our kids, friends, and families to get Oxytocin and we will be happy. When we are happy, we can deal with our challenges and problems better.
Now, we can understand why we need to hug a child who has a bad mood.
So to make your child more and more happy day by day …
1.Motivate him to play on the ground – Endorphins
2. Appreciate your child for his small big achievements – Dopamine
3. Inculcate sharing habit through you to your child – Serotonin
4. Hug your child – Oxytocin
Please share the valuable and essential for the current generation.
If you are trying to make money online, you must have realized that it can be quite hard, especially if you are monetizing your blogsolely via ads.
A successful Adsense publisher needs not only a lot of traffic but also needs that traffic to engage with the ads that are being displayed on the website. You need to be aware of the Highest Paying Adsense keywords and Top Adsense Keyword to generate revenue.
In the blogging world, you can either write articles that will compete for clicks that will pay a few cents or be strategic and write content that will pay the big bucks. Adsense CPC that you get paid will be contingent on the topic that you choose to write about.
If you are serious about making money online with Adsense, I suggest you target these top paying keywords and industries.
Below are the Top 10 Highest Paid Adsense Keywords for 2019
Secure Sockets Layer is the Highest Paid Keyword having top of the page bid as much as 859.42 CAD
Insurance $57 CPC
Gas/Electricity $54 CPC
Mortgage $47 CPC
Attorney $47 CPC
Loans $44 CPC
Lawyer $42 CPC
Donate $42 CPC
Conference Call $42 CPC
Degree $40 CPC
Credit $38 CPC
Let’s take an example and understand how to make thousands of dollars each month by profiting from this data.
As you can see, top most CPC is for Insurance. So let’s say you write a perfectly SEO’ed article in which you are discussing insurance companies and are able to get your blog post high on google rankings, then you should be getting a good amount of high quality traffic to your site that will hopefully translate into more Adsense revenue.
Let’s take another example of a top paying keyword such as mesothelioma which pays $169+ per click. If you can utilize this data and provide references to the best lawyers, you can get paid as much as $169 for a single click on this ad.
Top Paying Insurance Related Adsense Keywords
The insurance companies surely make a killing from those outrageous premiums they charge us. Otherwise how could they afford all those TV commercials and these crazy spend on Adwords? If you are in the insurance blogging space, kudos to you. You’ve picked a winner.
compare car insurance
auto insurance troy mi
car insurance comparison quote
cars with cheapest insurance rates
best learner driver insurance
insurance quotes young drivers
automobile club inter-insurance
car insurance personal injury
auto insurance conroe tx
auto insurance philadelphia pa
And lastly, how could I forget this…
Target these countries if you want to earn 10x more
Aiming for the right countries can really skyrocket your Adsense earnings. Here are the top 10 countries to target:
Avg. CPC ($)
Max. CPC ($)
Avg. CTR %
Average RPM ($)
United States (US)
0.40 – 2.3
0.50 – 2
United Kingdom (UK)
0.10 – 1.6
0.40 – 1
0.30 – 1
United Arab Emirates (UAE)
0.15 – 3.1
0.20 – 0.85
0.20 – 1
0.10 – 0.50
So now do you know how to make $50 a day with Adsense?
In my blog, I have used Bitcoin keywords which helps me earn a good revenue from Ads.
I don’t know about you, but 50 bucks a day on Ads sounds like a good passive income to me ($1.5k/mo).
Let’s run some calculations to see what it would take to make $50/day on Adsense.
First, some assumptions.
You are targeting US readers (as we saw earlier, US ads pay the most on average)
Your CTR (click-through rate) is 1% (i.e. 1% of visitors click on ads)
Your CPC is $0.50 (your niche is strong but your site is just getting started)
Your RPM (revenue per 1000 impressions) is $2
With these numbers we can now calculate how many visitors we need to earn our target amount.
The formula is = Visitors * CTR * CPC + Visitors/1000 * RPM
So with 7,500 visitors per day we obtain around $50/day on Adsense.
(7,500 * 1% * $0.5 + 7,500/1000*$2 = $52.5/day)
But how do you obtain 7,500 page views per day? Is that reasonable?
Wondering how to prevent yourself from Ransomware or Malware? Then, let’s first try to understand the meaning of Ransomware as well as CryptoLocker.
What is Ransomware?
Ransomware is a malware that locks your computer and mobile devices or encrypts your electronic files. When this happens, you can’t get to the data unless you pay a ransom. However this is not guaranteed and you should never pay!
What is CryptoLocker?
CryptoLocker is a family of ransomware whose business model (you must be surprised, but a malware is also a business to some!) is based on extorting money from users. This continues the trend started by another infamous piece of malware which also extorts its victims, the so-called ‘Police Virus’, which asks users to pay a ‘fine’ to unlock their computers. However, unlike the Police Virus, CryptoLocker hijacks users’ documents and asks them to pay a ransom (with a time limit to send the payment).
CryptoLocker uses social engineering techniques to trick the user into running it. More specifically, the victim receives an email with a password-protected ZIP file purporting to be from a logistics company.
Important Key Points to note about Ransomeware:
Most of the times, you are not able to get your data back even after paying a ransom.
Sometimes, your data isn’t even encrypted – it’s just hidden. In this case, you can get your data back without paying a ransom.
Keeping a regular, separate backup of your files takes all the power away from ransomware.
Unless your data is extremely valuable, do NOT pay a ransom.
How to prevent Ransomware:
Bad News:Unfortunately, in many cases, once the ransomware has been released into your device there is little you can do unless you have a backup or security software in place.
Good News:Prevention is possible. Following simple cyber security advice can help you to avoid becoming a victim of ransomware.
If you follow these simple steps, you should be safe from ransomware and most other cyber threats likely to come your way.
1. Keep your system up to date
If you are running Windows XP or Vista, you should immediately update your system to Windows 10 or buy a new computer. As we warned back in 2014, Microsoft is no longer supporting these ancient versions of Windows and continuing to use them makes you a prime target for cyber-attacks. And even an entry model $500 computer that will be far more powerful than your current XP one.
For those using Windows 7 and newer, make sure that you have Automatic Updates enabled so new security patches are installed as soon as they are available. These versions of Windows had already been patched by Microsoft to specifically prevent these types of ransomware attacks.
2. Use a reliable antimalware program
While antimalware programs can’t defend against every attack, they can prevent the vast majority of commonly-found malware from infecting your computer. And when new malware is discovered, antimalware providers quickly distribute updates to block it. We recommended the following:
(1) Kaspersky Internet Security,
(2) Bitdefender Total Security and
(3) Symantec Norton Security Premium.
And antimalware isn’t just for Windows users. Ransomware has been discovered for Macs, too.
3. Back up your data – no, really back up your data
It’s important to back up your data for a number of reasons; and the threat of ransomware is definitely one of them. But it’s not enough just to back up to an external hard drive, or even to the cloud. Many ransomware programs are specifically designed to search out backup devices, even across your network and cloud storage, encrypting everything in its path. To protect yourself, you either have to make regular backups to an external hard drive, which you then detach from your system after the backup (a pain to manage), or use a cloud service that provides automatic versioning so that if the most recent versions are encrypted, you can still recover from earlier versions. We’ve always been fans of Dropbox, which offers a 1TB storage plan for around $100 per year.
4. Keep your browser and plug-ins up to date
Some malware, including ransomware, can be delivered via “drive-by” infections. Taking advantage of vulnerabilities in common browser plugins, like Flash or Java, simply visiting a compromised site, or even viewing a malicious ad on an otherwise safe site, is all it takes for the malware to take hold. So in addition to keeping your operating system up to date, it’s just as important to keep your browser and its associated plug-ins up to date.
5. Avoid ransomware in the first place
Some ransomware, like WannaCry ransomware that just hit Boeing, is spread by email through an encrypted zip file attachment. You click on the attachment and unzip the file and all your precious files are now toast. This common social engineering trick has been around for years and, despite repeated warnings not to click on unknown email attachments, it’s still as effective as ever, as evidenced by the immense global success of WannaCry back in 2017.
DON’T BE THAT PERSON. Don’t click on or open files in email unless you know exactly what they are. Since sender names can be spoofed, simply seeing that the sender is a friend, relative or colleague is not enough. If in doubt, contact them directly to confirm that they sent you the file before you start clicking. And that goes for links, too, that may send you to infected websites (see #4 above).
How to effectively use Machine Learning to boost your predictive analytics?
First let’s try to understand the differences between Machine Learning and Predictive Analytics
It is an overall term encompassing various subfields including predictive analytics.
It can be treated as a subfield of machine learning.
Heavily coding oriented.
Mostly standard software oriented where a user need not code much themselves
It is considered to be generated from computer science i.e. computer science can be treated as the parent here.
Statistics can be treated as a parent here.
It is the technology of tomorrow.
It is so yesterday.
It is machine dominated by many techniques that are hard to understand but work like charm like deep learning.
It is user dominated with techniques that must be intuitive for a user to understand and implement.
Tools like R, Python, SaaS are used.
Excel, SPSS, Minitab are used.
It is very broad and continuously expanding.
It has a very limited scope and application.
75% of Business leaders state ‘growth’ as the key source of value from analytics but only 60% of those leaders have predictive analytics capabilities. So what’s preventing the businesses from achieving predictive analytics capabilities? The major roadblock is applying the right set of tools, which can pull powerful insights from this stockpile of data. But first, a big data system requires identifying and storing of digital information (lots of!!). Using Machine learning and Artificial Intelligence algorithms, businesses can optimize and uncover new statistical patterns which form the backbone of predictive analytics.
Forms of Data Analysis
Organization with huge data can begin analytics. Before beginning data scientists should make sure that predictive analytics fulfills their business goals and is appropriate for the big data environment.
Let’s take a quick look at the three types of analytics –
Descriptive analytics – It is the basic form of analytics which aggregates big data and provides useful insights into the past.
Predictive analytics – Next step in data reduction; It uses various statistical modelling and machine learning techniques to analyze past data and predict the future outcomes
Prescriptive analytics – New form of analytics which uses a combination of business rules, machine learning and computational modelling to recommend the best course of action for any pre-specified outcome.
Neural networks – Building blocks of Data Analysis
Neural network is a system of hardware and software mimicked after the central nervous system of humans, to estimate functions that depend on huge amount of unknown inputs. Neural networks are specified by three things – architecture, activity rule and learning rule.
According to Kaz Sato, Staff Developer Advocate at Google Cloud Platform “A neural network is a function that learns the expected output for a given input from training datasets”. A neural network is an interconnected group of nodes. Each processing node has its own small sphere of knowledge, including what it has seen and any rules it was originally programmed with or developed for itself.
In short neural networks are adaptive and modify themselves as they learn from subsequent inputs. For example, below is a representation of a neural network that performs image recognition for ‘humans’. The network has been trained with a lot of sample human and non-human images. The resulting network works as a function that takes an image as input and outputs label human or non-human.
Building predictive capabilities using Machine Learning and Artificial Intelligence
Let’s implement what we have learned about neural networks in an everyday predictive example. For example, we want to model a neural network for banking system that predicts debtor risk. For such a problem we have to build a recurrent neural network which can model patterns over time. RNN will require huge memory and a large quantity of input data. The neural system will take data sets of previous debtors. Input variables can be age, income, current debt etc and provide the risk factor for the debtor. Each time we ask our neural network for an answer, we also save a set of our intermediate calculations and use them the next time as part of our input. That way, our model will adjust its predictions based on the input that it has seen recently.
Uses cases for Machine Learning based predictive analytics
As Machine Learning and Artificial Intelligence landscape evolves predictive analytics is finding its way into more business use cases. Coupled with Business intelligence (BI) tools such as Domo and Tableau, business executives can make sense of big data.
Some prospective use cases for ML-based predictive analytics are:
E-commerce – Using ML businesses can predict customer churn and fraudulent transaction. Also predicting which product customer will click on.
Marketing – There are many examples of ML in B2B marketing. Common use case is identifying and acquiring prospects with attributes similar to existing customers. They can also prioritize known prospects, leads, and accounts based on their likelihood to take action.
Customer service – Satisfaction Prediction made by Zendesk uses a machine learning algorithm to process results of historical satisfaction surveys, learning from signals such as the total time to resolve a ticket, response delay, and the specific wording of tickets cross-referenced with customer satisfaction ratings.
Medical Diagnosis – Medical professionals can use a program modelled using ML to predict the likeliness of a particular illness. The model will use a database of patient records and will make predictions based on symptoms exhibited by the patient.
Organizations and technology companies are employing machine learning based predictive analytics to gain an edge over the rest of the market. Machine learning advancements such as neural networks and deep learning algorithms can discover hidden patterns in unstructured data sets and uncover new information. But building a comprehensive data analysis and predictive analytics strategy requires big data and progressive IT systems.
At its simplest, Bitcoin is either virtual currency or reference to the technology. You can make transactions by check, wiring, or cash. You can also use Bitcoin (or BTC), where you refer the purchaser to your signature, which is a long line of security codeencrypted with 16 distinct symbols. The purchaser decodes the code with his smartphone to get your cryptocurrency. Put another way; cryptocurrency is an exchange of digital information that allows you to buy or sell goods and services.The transaction gains its security and trust by running on a peer-to-peer computer network that is similar to Skype, or BitTorrent, a file-sharing system.
This Infographic in this article describes the BCH chain of bitcoin, called Bitcoin Cash.
The BTC chain of bitcoin no longer resembles the Satoshi Nakamoto whitepaper, as BTC is instead pursuing a scaling approach that involves high fees on the main chain in order to force commerce onto layer-2 solutions (which have been in development for several years but are still not yet ready actual use).
What is Bitcoin? A Step-By-Step Guide For Beginners
Bitcoin emerged in 2008 just after Occupy Wall Street accused big banks of:
misusing borrowers’ money,
rigging the system,
and charging boggling fees.
Bitcoin pioneers wanted to put the seller in charge, eliminate the middleman, cancel interest fees, and make transactions transparent, to hack corruption and cut fees. They created a decentralized system, where you could control your funds and know what was going on.
Bitcoin has come far in a relatively short time. All over the world, companies, from REEDS Jewelers, a large jewelry chain in the US, to a private hospital in Warsaw, Poland, accept its currency.
Billion dollar businesses such as Dell, Expedia, PayPal, and Microsoft do, too. Websites promote it, publications such as Bitcoin Magazine publish its news, forums discuss cryptocurrency and trade its coins. It has its application programming interface (API), price index, and exchange rate.
Problems include thieves hacking accounts, high volatility, and transaction delays. On the other hand, people in third world countries may find Bitcoin their most reliable channel yet for giving or receiving money.
Looking for a World Map with Slogans on Travel & Tourism? Holiday website Family Break Finder has collected all of them (except 38 countries that don’t have one) and put them on an interesting map.
Some tourism departments have clearly been working harder than others with a handful of countries opting for simple alliteration rather than trying anything fancy (“Incredible India”; “Beautiful Bangladesh”; “Pristine Paradise Palau”; “Brilliant Barbados”).
Albania – Go your own way!
Algeria – Tourism for everybody
Andorra – The Pyrenean Country
Antigua and Barbuda – The beach is just the beginning
Argentina – Beats to your rhythm
Armenia – Visit Armenia, It is Beautiful
Australia – There’s NOTHING like Australia
Austria – Arrive and revive
Bahamas – Life Is Grand
Bahrain – Ours. Yours. Bahrain
Bangladesh – Beautiful Bangladesh
Barbados – Brilliant Barbados
Belarus – Hospitality Beyond Borders
Belgium – The place to be
Belize – Mother Nature’s Best-Kept Secret
Bhutan – Happiness is a place
Bolivia – Bolivia awaits you
Bosnia and Herzegovina – The heart of SE Europe
Botswana – Our pride, your destination
Brazil – Brasil – sensational!
Brunei Darussalam – A kingdom of unexpected treasures
Bulgaria – A discovery to share
Burundi – Beautiful Burundi
Cabo Verde – No stress
Cambodia – Kingdom of wonder
Cameroon – All of Africa in one country
Canada – Keep exploring
Chad – Oasis of the Sahel
Chile – All are welcome
China – China Like Never Before
Colombia – Colombia is magical realism
Costa Rica – Essential Costa Rica
Croatia – Full of life
Cuba – Autentica Cuba
Cyprus – Cyprus in your heart
Czech Republic – Land of stories
Denmark – Happiest place on Earth!
Djibouti – Djibeauty
Dominica – The nature island
Dominican Republic – Dominican Republic has it all
Ecuador – All you need is Equador
Egypt – Where it all begins
El Salvador – The 45 Minute Country
Estonia – Epic Estonia
Ethiopia Land of origins
Fiji – Where Happiness Finds You
Finland – I wish I was in Finland
France – Rendez vous en France
Gambia – The smiling coast of Africa
Georgia – For the best moments of your life
Germany – Simply inspiring
Greece – All Time Classic
Grenada – Pure Grenada
Guatemala – Heart of the Mayan World
Guyana – South America Undiscovered
Haiti – Experience It!
Honduras – Everything is here
Hungary – Think Hungary more than expected
Iceland – Inspired by Iceland
India – Incredible !ndia
Indonesia – Wonderful Indonesia
Iran – You Are Invited
Iraq – The Other Iraq (Kurdistan)
Ireland – Jump into Ireland
Israel – Land of Creation
Italy – Made in Italy
Jamaica – Get All Right
Japan – Endless discovery
Jordan – Yes, it’s Jordan
Kazakhstan – The land of wonders
Kenya – Magical Kenya
Kiribati – For travellers
Kyrgyzstan – Oasis on the Great Silk Road
Lao People’s Democratic Republic (Laos) – Simply Beautiful
Latvia – Best enjoyed slowly
Lebanon – Live Love Lebanon
Lesotho – The Kingdom In The Sky
Liechtenstein – Experience princely moments
Lithuania – Real is beautiful
Luxembourg – Live your unexpected Luxembourg
Macedonia – Macedonia Timeless
Madagascar – A genuine island, a world apart
Malawi – The warm heart of Africa
Malaysia – Truly Asia
Maldives – The sunny side of life
Malta – Truly Mediterranean
Mauritius – It’s a pleasure
Mexico – Live It to Believe It
Micronesia (Federated States of) – Experience the warmth
Monaco – Easy going Monaco
Mongolia – Go Nomadic
Montenegro – Wild Beauty
Morocco – Much mor
Mozambique – Come to where it all started
Myanmar – Let the journey begin
Namibia – Endless horizons
Nepal – Once is not enough
Netherlands – The original cool
New Zealand – 100% Pure
Nicaragua – Unica. Original!
Nigeria – Good people, great nation
Norway – Powered by nature
Oman – Beauty has an address
Pakistan – It’s beautiful, it’s Pakistan
Palau – Pristime Paradise Palau
Panama – Panama Surprises
Papua New Guinea – A million different journeys
Paraguay – You have to feel it!
Peru – Land of the Incas
Philippines – It’s more fun in the Phillipines
Poland – Move your imagination
Portugal – Europe’s West Coast
Qatar – Where dreams come to life
Republic of Korea (South Korea) – Imagine your Korea
Republic of Moldova – Discover the routes of life
Romania – Explore the Carpathian garden
Russian Federation – Reveal your own Russia
Rwanda – Remarkable Rwanda
Saint Kitts and Nevis – Follow your heart
Saint Lucia – Simply beautiful
Saint Vincent and the Grenadines – Discover SVG
Samoa – Beautiful Samoa
San Marino – San Marino For All
Saudi Arabia – Experience to discover
Serbia – My Serbia
Seychelles – Another world
Sierra Leone – The freedom to explore
Singapore – Your Singapore
Slovakia – Travel in Slovakia – Good idea
Slovenia – I feel SLOVEnia
Solomon Islands – Seek the unexplored
South Africa – Inspiring new ways
Sri Lanka – Wonder of Asia
Suriname – A Colorful Experience… Exotic beyond words
Swaziland – A royal experience
Switzerland – Get natural
Syrian Arab Republic – Always Beautiful
Tajikistan – Feel the friendship
Thailand – Amazing Thailand. It begins with the people
Timor-Leste – Being first has its rewards
Tonga – The true South Pacific
Trinidad and Tobago – The true Caribbean
Tunisia – I feel like Tunisia
Turkey -Be our guest
Tuvalu – Timeless Tuvalu
Uganda – You’re welcome
Ukraine – It’s all about U
United Arab Emirates – Discover all that’s possible
United Kingdom of Great Britain and Northern Ireland – Home of amazing moments
United Republic of Tanzania – The land of Kilimanjaro, Zanzibar and the Serengeti
United States of America – All within your reach
Uruguay – Uruguay natural
Uzbekistan – Naturally Irresistible!
Vanuatu – Discover what matters
Venezuela – Venezuela is your destination!
Vietnam – Timeless charm
Zambia – Let’s explore
Zimbabwe – A world of wonders
Do you know that Coffee is the second most traded commodity on earth after Oil?
According to the “Global Exchange”, there are approximately 25 million farmers in over 50 countries involved in producing coffee.
1. Coffee Consumption
2. Types of Beans
3. How it’s made
4. Weirdest Coffee Flavor
5. Most Expensive Coffee
6. Best Coffee Cup
7. How to make Latte Art at Home
8. Impressive COFFEE Facts & Effects Of CAFFEINE
The effects of caffeine start showing 15-20 minutes after the first sip.
Caffeine affects our brain in a similar way to cocaine.
Coffee beans come from the coffee plant’s red berries.
A cup of coffee contains approx. 100 mg of caffeine.
The effects of painkillers are increased by up to 40% when combined with caffeine.
Your daily caffeine dose shouldn’t exceed 400 mg.
12 to 17 year-old constitute the most rapidly growing group of coffee consumers.
Smokers metabolize caffeine up to 50% faster than non-smokers.
Finnish people drink the most coffee worldwide.
Caffeine is processed faster in women than in men.
Journey of Coffee from Tree to your Cup
Coffee travels a long way before reaching your coffee mug.
Here are some more interesting coffee facts:
It takes three-to-four years for a coffee seed to grow into a tree that produces coffee beans.
Seeds are first planted in nurseries. Six months to one-year later, seedlings are transplanted to open fields. Workers must prepare the planting ground for the small seedlings by loosening and grading the soil.
Approximately two-and-a-half years after transplantation, the trees begin to flower and the flowers produce a small fruit known as a coffee cherry. In the center of each cherry are two green coffee beans.
Coffee plants grow best where there is plenty of rainfall at certain times of the year and thrive in a well-drained, rich, volcanic soil. The plant does not like sudden changes in temperature, and frost can severely damage or kill it.
During harvest, coffee cherries are hand picked. It takes approximately 2,000 cherries — 4,000 beans — to produce one pound of roasted coffee.
After being husked, sorted and bagged, the green coffee beans are shipped from the countries where they were grown to the countries where they will be manufactured and consumed.
Manufacturing involves the roasting and grinding of the coffee beans, or the production of instant coffee. Once manufacturing and packaging are completed, the coffee is ready for the consumer.
The leading coffee producing countries of the world are Brazil and Colombia.
The United States imports and consumes more coffee than any other country.
Flight Tracker Visualizes June 30 as one of the Busiest Days ever in Air Travel
The best live flight radar app I have ever used – Flight Radar 24.
The skies look a lot more crowded today than they did a century ago.
At any given moment, there are 9700 airplanes traveling through the air on average. Saturday, June 30 was an especially busy day for air travelers: Flightradar24 recorded 202,157 flights, the most the flight-tracking app has ever documented in a single day.
Since 2006, people have used Flightradar24 to see visualizations of aircraft making trips around the world.
Each tiny yellow plane depicted on their map uses data from airlines and airports, and users can click the icons to learn the route, model, speed, altitude, and departure and arrival time of each craft.
Flightradar24 is a Swedish internet-based service that shows real-time commercial aircraft flight information on a map. It includes flight tracks, origins and destinations, flight numbers, aircraft types, positions, altitudes, headings and speeds.
Yes, it’s true. Artificial Intelligence can be used as a death factoring calculator. Case studies have proved that AI can predict metastatic cancer and deaths caused by heart attack. Let’s deep dive how? Google is creating an Artificial Intelligence (AI) system that can be used to predict a patient’s death—Simply astonishing.
Google’s Medical Brain team is using a new type of Artificial Intelligence algorithm that can make predictions about the likelihood of death among hospital patients. The company claims that the AI can predict when a patient might die more accurately than other traditional models used by doctors.
Artificial Intelligence (AI) systems are clearly taking the world by storm. AI technology is revolutionizing the world and is prevalent in almost every facet of our lives:
The way we purchase items.
The way we communicate.
The way we move across the world.
These days, AI is pushing its boundaries further and entering into the deadly territories: Death Prediction.
What is Artificial Intelligence?
Artificial Intelligence is a branch of Computer Science which aims to make machines simulate Human Intelligence Tasks/Processes. These systems usually make predictions using a technique referred to as Machine Learning.
How does Google AI make Predictions?
The system works by chewing up data about various details of a patient such as age, gender, ethnicity, previous diagnosis, present signs, and laboratory results.
What’s more, the system can also take data buried on charts and PDFs and use it for making predictions.
After testing the algorithm, Google found out that it could make death predictions with an astonishing accuracy level of 95%, which is 10% more accurate than the traditional models.
In one of the case studies, the Google AI software crunched about 176,000 data points of the records of a woman with metastatic cancer and pronounced that she had a 19.9% chance of dying in the hospital. The doctors at the hospital had given her a 9.3% chance of dying.
Amazingly, as predicted by the AI software, the woman died after two weeks—beating the doctors at their own game.
Although the Google’s AI may not be perfect at predicting deaths, it would continue to perform better as it is ‘taught’ with more data.
Therefore, if this breakthrough healthcare technology is improved, it can reduce human error in medicine and lead to more lives being saved.