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The Road to Digital Transformation for Healthcare

Effective new target for mood-boosting brain stimulation found

Researchers have found an effective target in the brain for electrical stimulation to improve mood in people suffering from depression. As reported in the journal Current Biology on November 29, stimulation of a brain region called the lateral orbitofrontal cortex (OFC) reliably produced acute improvement in mood in patients who suffered from depression at the start of the study.

Those effects were not seen in patients without mood symptoms, suggesting that the brain stimulation works to normalize activity in mood-related neural circuitry, the researchers say.

“Stimulation induced a pattern of activity in brain regions connected to OFC that was similar to patterns seen when patients naturally experienced positive mood states,” says Vikram Rao, of the University of California, San Francisco. “Our findings suggest that OFC is a promising new stimulation target for treatment of mood disorders.”

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The impact of artificial intelligence (AI) has been witnessed since decades on the legal industry starting from the contract review or management of the lawful outcomes to their official researches. AI is a futuristic technology which has no plans of withdrawing its powerful impact on the world, and the blend of automation and smartness rightfully serves its purpose by attracting people towards it. Businesses that face complications in coping with the competence, production, and precision, search for solutions offered by AI technology.

Implementation of AI in the legal industry can transform and redefine the way of carrying out any legal activity as well as perform mundane and time-taking jobs. AI can be an essential asset for the law firms as it can automate the tedious tasks that are loaded for legal professionals to do.

Drones today are not just limited to military surveillance or tech-savvy customers. There have been several advancements in drone technology over the last few years, and with each advancement, drone technology continues to improve in itself.

Streamlining Smart Cities with Geographic Information System

Decades of unplanned urbanization has induced rampant pollution, sanitation hazards, inadequate housing, slums, and transport perils, Along with that, extreme weather patterns have become a global concern. It is about time data-driven adaptive urbanism—smart cities—gains momentum, building cities as models of a global change.

This model will pave the way for connected spatial data flow, enabling every resident in the city to comprehend the goals the community needs to accomplish. The residents can utilize applications to keep themselves informed about recreation, business, property, transportation, taxation, and more.

These smart cities function round-the-clock in a cloud environment and are entirely based on knowledge and innovation for best and sustainable civilian services. The definitions for smart cities vary depending on geographies, deployment, and scaling. However, in a data-driven environment Read More 

Interesting Read: At the Pinnacle of Smart City Aspirations

5 Questions from a Year of Education on the International Space Station

This year, we’re celebrating a Year of Education on the Station as astronauts and former teachers Joe Acaba and Ricky Arnold have made the International Space Station their home. While aboard, they have been sharing their love of science, technology, engineering and math, along with their passion for teaching. With the Year of Education on the Station is coming to a close, here are some of the highlights from students speaking to the #TeacherOnBoard from across the country!

Why do you feel it’s important to complete Christa McAuliffe’s lessons?

“The loss of Challenger not only affected a generation of school teachers but also a generation of school children who are now adults.” Ricky’s personal mission was to bring the Challenger Mission full circle and give it a sense of closure by teaching Christa’s Lost Lessons. See some of Christa’s Lost Lessons here.

Have you ever poured water out to see what happens?

The concept of surface tension is very apparent on the space station. Fluids do not spill out, they stick to each other. Cool fact: you can drink your fluids from the palm of your hand if you wanted to! Take a look at this demonstration that talks a little more about tension. 

How does your equipment stay attached to the wall?

The use of bungee cords as well as hook and loop help keep things in place in a microgravity environment. These two items can be found on the space station and on the astronaut’s clothing! Their pants often have hook and loop so they can keep things nearby if they need to be using their hands for something else. 

Did being a teacher provide any advantage to being an astronaut?

Being an effective communicator and having the ability to be adaptable are great skills to have as a teacher and as an astronaut. Joe Acaba has found that these skills have assisted him in his professional development.  

Since you do not use your bones and muscles as often because of microgravity, do you have to exercise? What type can you do?

The exercises that astronauts do aboard the space station help them maintain their bone density and muscle mass. They have access to resistance training through ARED (Advanced Resistive Exercise Device) which is a weight machine and for cardio, there is a bicycle and treadmill available to keep up with their physical activity.

Learn more about the Year of Education on Station. 

Make sure to follow us on Tumblr for your regular dose of space: http://nasa.tumblr.com.

Know these to get started with Python.

Web Development has advanced over a period of time

Taking a Mobile First Strategy to Web-development

Changing trends in web design via web development

Java's Ongoing Popularity

The Era of Modern Web Development

Python as a first language: a roadmap to getting started.

I personally prefer Java as a first language. Put non-technically, it is a lot less convenient, so you get a more realistic idea of how computers work. Nonetheless, Python is an amazing language (with convenience as one of it’s values) so it makes sense as a gentle introduction. It’s also a popular language for data science and machine learning, so it’s great to have experience with.

The 3 ingredients you need to get started:

The Python Language Interpreter: when you write some code in a text file and save it as a .py file, the Python interpreter is what turns that code into commands that your computer can then actually preform. This is necessary.

An Integrated Development Environment (IDE): An IDE is like a helpful text editor for programming. Some basic features include auto-complete, typo and mistake catching, and automatic text coloring to make some parts of your code easier to find. This is optional but highly recommended.

Some learning resources: We’re going to need something about programming basics, problem solving in computer science, using an API, learning how to use google and stackexchange, data types, control structures, and then maybe an object-oriented programming intro, and eventually all the neat advanced features of the python language. Then we need to learn how to use Numpy (for scientific computing), Pandas (for easy data storage), and Tensorflow (machine learning!). Add some handy cheat-sheets for python, numpy, pandas, and Tensorflow, and we’re good to go.

Other posts will adress download, installation, and resources.

A curriculum:

Like I said up above, we need to know how to do the following. Save this and make it a checklist.

Learn to use google to answer questions about installing or using python, any packages, or computer science.

This also includes getting to know how to search Stackexchange, the website for coding questions n’ stuff.

How to install python 3 and get set up

How to install an IDE like Eclipse (with PyDev), IDLE, or Notebook++.

Programming basics: how does python work? What does the language look like? How does tabbing work?

Understand basic logic, including AND, OR, XOR, NOR, NAND, XNOR, Implies, and If…Else statements.

Variables: what are they, how do I set one and change it?

Basic math in Python.

Data types: what kinds of variables can I have? How does my computer store data? How do I use those types of data? What are the key commands and operations I know how to do?

Control structures: if, else, elif, for loops, while loops, break, continue

Methods! What are they, how do I make one, what can I do with it?

The open() command, the all() command, other neat built-in methods

<function name>= lambda <your variables>: <single line method>

Problem solving in computer science: now do fizbuzz.

What’s a package?

Importing packages, installing packages you don’t have with PIP

Using an API: how do I find one and how do I read it?

object-oriented programming in Python: what’s a class, how do I make one, how do I reference and instantiate one, methods, class vars, etc

Error handling: how to do exceptions

All the neat advanced features of the python language: iterators, generators, list comprehensions, enumerate, range, assert, with…as, etc.

Read through the Numpy API (for scientific computing), data types, matrices, stats, methods, etc. A short detour through scikit would be helpful.

Read through Matplotlib.pyplot API, plotting, plotting options, histograms, scatterplots, etc.

Pandas (for easy data storage), data frames, series, built-in operations on columns and rows, loading from a CSV, saving as a csv, apply, etc

Tensorflow (machine learning!) For basic stuff, shoot for knowing how to use the estimator package, which is discussed elsewhere on this blog. Also get to know the nitty gritty, including tensors, layers, tensorboard, etc.

The Future of Manufacturing Automation

With the advancement of Artificial Intelligence (AI) and remote communication, automation is gaining stature in the manufacturing space. The usage of both AI and remote communication is slated to rise dramatically in the forthcoming years. 

In general, automation can be defined as taking rote tasks and designing a system that entirely performs the tasks automatically.

For example, the automation process is efficiently used in pharmaceutical manufacturing units where an automated system is used to dispense a given amount of powdered chemical. This enables numerous benefits that include mechanical precision and consistency, provides better safety, and decreased operating expenses. 

Full article: Manufacturing Automation Future

Visit Fact Pins for all the latest in celebrity Facts, movie facts, singing facts and more...

Aerospace Innovations: https://goo.gl/sdpPUK

Moving toward an Information Age Air Force: https://goo.gl/ytcEVh

Engineers fly first-ever plane with no moving parts

Since the first airplane took flight over 100 years ago, virtually every aircraft in the sky has flown with the help of moving parts such as propellers, turbine blades, and fans, which are powered by the combustion of fossil fuels or by battery packs that produce a persistent, whining buzz.

Now MIT engineers have built and flown the first-ever plane with no moving parts. Instead of propellers or turbines, the light aircraft is powered by an “ionic wind” – a silent but mighty flow of ions that is produced aboard the plane, and that generates enough thrust to propel the plane over a sustained, steady flight.

Unlike turbine-powered planes, the aircraft does not depend on fossil fuels to fly. And unlike propeller-driven drones, the new design is completely silent.

“This is the first-ever sustained flight of a plane with no moving parts in the propulsion system,” says Steven Barrett, associate professor of aeronautics and astronautics at MIT. “This has potentially opened new and unexplored possibilities for aircraft which are quieter, mechanically simpler, and do not emit combustion emissions.”

He expects that in the near-term, such ion wind propulsion systems could be used to fly less noisy drones. Further out, he envisions ion propulsion paired with more conventional combustion systems to create more fuel-efficient, hybrid passenger planes and other large aircraft.

Barrett and his team at MIT have published their results in the journal Nature.

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Blockchain: The Driving Force of Multiple Industries

Blockchain and bitcoin are interlinked, and blockchain has a multitude of other functions and uses. Sustainability is the ability to drive business process efficiently and transparently across industries which translates to better use of resources that creates value. In this context, blockchain and distributed ledger technologies (DLT) are one of the most powerful drivers for sustainability.

Blockchain can track the goods and services across the landscape in an automated fashion which allows data to be exchanged seamlessly. Traditional inconsistencies can be avoided with blockchain technologies. The whole process from fundamental issues to money laundering becomes 100 percent transparent and trackable. 

Read More: https://goo.gl/9hihYB

The pharmaceutical industry benefits from blockchain as it can be used to track and record the movement of drugs and medication. When drugs are used illicitly, every packet of the drug can be monitored and traced at all times.

Blockchain: Complementing Threat Intelligence: https://goo.gl/DjpaUQ

Eliminating Healthcare Challenges with Blockchain: https://goo.gl/HMnqt2