The Krishi Mela will be held on the GKVK campus of UAS-B from November 14 to 17

Pappadams are a must for the grand Onam feast and units selling handmade pappadams in Thiruvananthapuram have a steady clientele

Company: P & I Management Consultants
Experience: 7 to 8
location: Ahmedabad, India
Ref: 24495109
Summary: Job Description: Job Responsibility 1. Meet LED/HD Television & Washing Machine, AC Dealers/Distributors 2. Appoint new Outlets for consumer electronic appliances 3. Supervise a team of Sales Executive for sales &....

Epithelial cells are held together and connected by several different types of structures that form cell-cell contacts.

The U.S. Department of Commerce just announced that it will add high tariffs for solar modules imported from China. The Canadian government is also investigating the adoption of similar measures, following recent complaints filed by Ontario-based solar manufacturers. With the solar industry in hypergrowth, it’s not a surprise that these governments are interested in boosting new jobs, protecting their economies, and fostering the solar sector. The problem is that tariffs are a short-sighted approach that actually attack the future of North American solar on its home soil, and likely destroy more jobs than they create.

It can be seen as part of human nature that over a period of time, people become bored with routine activities, such as eating, drinking and repetitive...

Ice creams are one of the most preferred deserts as well as one of the most widely consumed dairy products. There are different types of ice creams with different types of flavors available in the market. Though in most of the cases ice...

In the range of commercial coffee machines, Espresso is a name which is worth to rely. This Italian flavor rules the heart of the coffee lovers’ right from its origin. Considering its charm throughout the world, Espresso comes...

Algorithms lie at the heart of machine learning, which, in turn lies at the heart of much of modern life–from online shopping to intelligence gathering. But most of us know little about these powerful tools and how they work. Is this wise?

As autonomous and self-taught machines become part of our everyday lives, what sort of policy and institutional frameworks should guide AI design and use? This event brought together policymakers, civil society representatives and AI experts from industry and academia to discuss the role of policy and international co-operation in ensuring that AI benefits society as a whole.

"Back to the Future" festivities marking 21 October 2015 as the date Marty and Doc travel to the future in the famous film with Michael J. Fox. If only we had a similar time machine allowing us to travel to 2045 to see what the climate has in store to better decide what policies to adopt today. Alas, no time machine has been invented yet but, in the absence of such a cool device, we can rely on climate and economic models...

2. As stated in the information, the Informant is running a sole proprietorship by the name of M/s Venkateswara Agencies (earlier known as Rohini Agencies) dealing with agricultural machineries, based in West Godavari District of Andhra Pradesh. The Informant has been the authorised dealer of KAMCO from the year 2006, for which dealership agreement dated 28.09.2006 was entered into between Informant and KAMCO. The scope of the agreement included supplying the products of KAMCO to Case No.38 of 2019 1 the customers in West Godavari, East Godavari, Krishna, Srikakulam and Guntur Districts of the state of Andhra Pradesh.

World and Olympic heptathlon champion Jessica Ennis-Hill inspires kids to do the robot and a dad even to do the worm in a Barnsley shopping centre in Santander's 2015 Christmas commercial.

There is no right or wrong, With the combination of hardware and software as well as subscriptions that work for you, you'll not get sidetracked every now and then by annoying eccentricities. Things need to simply work and work well.

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Single-wavelength X-ray anomalous diffraction (SAD) is a frequently employed technique to solve the phase problem in X-ray crystallography. The precision and accuracy of recovered anomalous differences are crucial for determining the correct phases. Continuous rotation (CR) and inverse-beam geometry (IBG) anomalous data collection methods have been performed on tetragonal lysozyme and monoclinic survivin crystals and analysis carried out of how correlated the pairs of Friedel's reflections are after scaling. A multivariate Bayesian model for estimating anomalous differences was tested, which takes into account the correlation between pairs of intensity observations and incorporates the a priori knowledge about the positivity of intensity. The CR and IBG data collection methods resulted in positive correlation between I(+) and I(−) observations, indicating that the anomalous difference dominates between these observations, rather than different levels of radiation damage. An alternative pairing method based on near simultaneously observed Bijvoet's pairs displayed lower correlation and it was unsuccessful for recovering useful anomalous differences when using the multivariate Bayesian model. In contrast, multivariate Bayesian treatment of Friedel's pairs improved the initial phasing of the two tested crystal systems and the two data collection methods.

By simulating the environment when corn was first exploited by people and then domesticated, Smithsonian scientists discovered that corn’s ancestor; a wild grass called teosinte, […]

The post Greenhouse “time machine” sheds light on corn domestication appeared first on Smithsonian Insider.

Simon L. Bullock
Apr 6, 2020; 133:jcs245134-jcs245134
Meeting Report

Full Text:

Machine learning algorithms can sometimes do a great job with a little help from human expertise, at least in the field of materials science. In many specialized areas of science, engineering and medicine, researchers are turning to machine learning algorithms to analyze data sets that have grown too large for humans to understand. In materials science, success with this effort could accelerate the design of next-generation advanced functional materials, where development now usually depends on old-fashioned trial and error. By themselves, however, data analytics techniques borrowed from other research areas often fail to provide the insights needed to help materials scientists and engineers choose which of many variables to adjust -- and the techniques can't account for dramatic changes such as the introduction of a new chemical compound into the process. In a new study, researchers explain a technique known as dimensional stacking, which shows that human experience still has a role to play in the age of machine intelligence. The machines gain an edge at solving a challenge when the data to be analyzed are intelligently organized based on human knowledge of what factors are likely to be important and related. "When your machine accepts strings of data, it really does matter how you are putting those strings together," said Nazanin Bassiri-Gharb, the paper's corresponding author and a scientist at the Georgia Institute of Technology. "We must be mindful that the organization of data before it goes to the algorithm makes a difference. If you don't plug the information in correctly, you will get a result that isn't necessarily correlated with the reality of the physics and chemistry that govern the materials."

Image credit: Rob Felt/Georgia Tech

Full Text:

How do galaxies such as our Milky Way come into existence? How do they grow and change over time? The science behind galaxy formation has long been a puzzle, but a University of Arizona-led team of scientists is one step closer to finding answers, thanks to supercomputer simulations. Observing real galaxies in space can only provide snapshots in time, so researchers who study how galaxies evolve over billions of years need to use computer simulations. Traditionally, astronomers have used simulations to invent theories of galaxy formation and test them, but they have had to proceed one galaxy at a time. Peter Behroozi of the university's Steward Observatory and colleagues overcame this hurdle by generating millions of different universes on a supercomputer, each according to different physical theories for how galaxies form. The findings challenge fundamental ideas about the role dark matter plays in galaxy formation, the evolution of galaxies over time and the birth of stars. The study is the first to create self-consistent universes that are exact replicas of the real ones -- computer simulations that each represent a sizeable chunk of the actual cosmos, containing 12 million galaxies and spanning the time from 400 million years after the Big Bang to the present day. The results from the "UniverseMachine," as the authors call their approach, have helped resolve the long-standing paradox of why galaxies cease to form new stars even when they retain plenty of hydrogen gas, the raw material from which stars are forged. The research is partially funded by NSF's Division of Physics through grants to UC Santa Barbara's Kavli Institute for Theoretical Physics and the Aspen Center for Physics.

Image credit: NASA/ESA/J. Lotz and the HFF Team/STScI

Full Text:

Machine learning algorithms can sometimes do a great job with a little help from human expertise, at least in the field of materials science. In many specialized areas of science, engineering and medicine, researchers are turning to machine learning algorithms to analyze data sets that have grown too large for humans to understand. In materials science, success with this effort could accelerate the design of next-generation advanced functional materials, where development now usually depends on old-fashioned trial and error. By themselves, however, data analytics techniques borrowed from other research areas often fail to provide the insights needed to help materials scientists and engineers choose which of many variables to adjust -- and the techniques can't account for dramatic changes such as the introduction of a new chemical compound into the process. In a new study, researchers explain a technique known as dimensional stacking, which shows that human experience still has a role to play in the age of machine intelligence. The machines gain an edge at solving a challenge when the data to be analyzed are intelligently organized based on human knowledge of what factors are likely to be important and related. "When your machine accepts strings of data, it really does matter how you are putting those strings together," said Nazanin Bassiri-Gharb, the paper's corresponding author and a scientist at the Georgia Institute of Technology. "We must be mindful that the organization of data before it goes to the algorithm makes a difference. If you don't plug the information in correctly, you will get a result that isn't necessarily correlated with the reality of the physics and chemistry that govern the materials."

Image credit: Rob Felt/Georgia Tech

Full Text:

How do galaxies such as our Milky Way come into existence? How do they grow and change over time? The science behind galaxy formation has long been a puzzle, but a University of Arizona-led team of scientists is one step closer to finding answers, thanks to supercomputer simulations. Observing real galaxies in space can only provide snapshots in time, so researchers who study how galaxies evolve over billions of years need to use computer simulations. Traditionally, astronomers have used simulations to invent theories of galaxy formation and test them, but they have had to proceed one galaxy at a time. Peter Behroozi of the university's Steward Observatory and colleagues overcame this hurdle by generating millions of different universes on a supercomputer, each according to different physical theories for how galaxies form. The findings challenge fundamental ideas about the role dark matter plays in galaxy formation, the evolution of galaxies over time and the birth of stars. The study is the first to create self-consistent universes that are exact replicas of the real ones -- computer simulations that each represent a sizeable chunk of the actual cosmos, containing 12 million galaxies and spanning the time from 400 million years after the Big Bang to the present day. The results from the "UniverseMachine," as the authors call their approach, have helped resolve the long-standing paradox of why galaxies cease to form new stars even when they retain plenty of hydrogen gas, the raw material from which stars are forged. The research is partially funded by NSF's Division of Physics through grants to UC Santa Barbara's Kavli Institute for Theoretical Physics and the Aspen Center for Physics.

Image credit: NASA/ESA/J. Lotz and the HFF Team/STScI

Tiny plastic particles from laundry wastewater are being washed into the marine environment, according to recent research. The plastic, from synthetic clothes cleaned in domestic washing machines, is a significant source of contamination and, unless measures are taken to address the problem, growing coastal populations will only exacerbate the situation.

Google has announced machine images, a new type of Compute Engine resource that contains all the information people need to create, backup or restore a virtual machine, reducing the amount of time people spend managing their Cloud environment.

Oil spills can decimate seabird populations. Some birds can be saved, if the oil is washed from their feathers in time; however, this long process is stressful for the birds and requires numerous volunteers. Researchers have now developed a ‘bird-washing machine’ which reduces the washing time from two hours to four minutes. When trialled on oiled birds rescued from the Caspian Sea this resulted in a substantial increase in survival: 88.5% survival after seven days compared to 50% survival with current washing techniques.

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Scientists at NTU Singapore, MIT and Brown University have developed new approaches that significantly improve the accuracy of an important material testing technique by harnessing the power of machine learning....

In June 2012, a network of 16,000 computers trained itself to recognize a cat by looking at 10 million images from YouTube videos.

Sweatshops filled with robots could bring manufacturing of smartphones, computers and TVs to the United States, as well.

After debuting in Nottingham, England, the big-hearted concept catering to 'rough sleepers' is coming to America.

The rainforest as a living machine, is quite possibly the most sophisticated technology on the planet.