Violating law of energy conservation in the early universe may explain dark energy

This is the "South Pillar" region of the star-forming region called the Carina Nebula. Like cracking open a watermelon and finding its seeds, the infrared telescope "busted open" this murky cloud to reveal star embryos tucked inside finger-like pillars of thick dust. Credit: NASA

Physicists have proposed that the violations of energy conservation in the early universe, as predicted by certain modified theories in quantum mechanics and quantum gravity, may explain the cosmological constant problem, which is sometimes referred to as "the worst theoretical prediction in the history of physics."

The physicists, Thibaut Josset and Alejandro Perez at the University of Aix-Marseille, France, and Daniel Sudarsky at the National Autonomous University of Mexico, have published a paper on their proposal in a recent issue Physical Review Letters.
"The main achievement of the work was the unexpected relation between two apparently very distinct issues, namely the accelerated expansion of the universe and microscopic physics," Josset told Phys.org. "This offers a fresh look at the cosmological constant problem, which is still far from being solved."
Einstein originally proposed the concept of the cosmological constant in 1917 to modify his theory of general relativity in order to prevent the universe from expanding, since at the time the universe was considered to be static.
Now that modern observations show that the universe is expanding at an accelerating rate, the cosmological constant today can be thought of as the simplest form of dark energy, offering a way to account for current observations.
However, there is a huge discrepancy—up to 120 orders of magnitude—between the large theoretical predicted value of the cosmological constant and the tiny observed value. To explain this disagreement, some research has suggested that the cosmological constant may be an entirely new constant of nature that must be measured more precisely, while another possibility is that the underlying mechanism assumed by theory is incorrect. The new study falls into the second line of thought, suggesting that scientists still do not fully understand the root causes of the cosmological constant.
The basic idea of the new paper is that violations of energy conservation in the early universe could have been so small that they would have negligible effects at local scales and remain inaccessible to modern experiments, yet at the same time these violations could have made significant contributions to the present value of the cosmological constant.

To most people, the idea that conservation of energy is violated goes against everything they learned about the most fundamental laws of physics. But on the cosmological scale, conservation of energy is not as steadfast a law as it is on smaller scales. In this study, the physicists specifically investigated two theories in which violations of energy conservation naturally arise.
The first scenario of violations involves modifications to quantum theory that have previously been proposed to investigate phenomena such as the creation and evaporation of black holes, and which also appear in interpretations of quantum mechanics in which the wavefunction undergoes spontaneous collapse. In these cases, energy is created in an amount that is proportional to the mass of the collapsing object.
Violations of energy conservation also arise in some approaches to quantum gravity in which spacetime is considered to be granular due to the fundamental limit of length (the Planck length, which is on the order of 10^-35 m). This spacetime discreteness could have led to either an increase or decrease in energy that may have begun contributing to the cosmological constant starting when photons decoupled from electrons in the early universe, during the period known as recombination.
As the researchers explain, their proposal relies on a modification to general relativity called unimodular gravity, first proposed by Einstein in 1919.
"Energy from matter components can be ceded to the gravitational field, and this 'loss of energy' will behave as a cosmological constant—it will not be diluted by later expansion of the universe," Josset said. "Therefore a tiny loss or creation of energy in the remote past may have significant consequences today on large scale."
Whatever the source of the energy conservation violation, the important result is that the energy that was created or lost affected the cosmological constant to a greater and greater extent as time went by, while the effects on matter decreased over time due to the expansion of the universe.
Another way to put it, as the physicists explain in their paper, is that the cosmological constant can be thought of as a record of the energy non-conservation during the history of the universe.
Currently there is no way to tell whether the violations of energy conservation investigated here truly did affect the cosmological constant, but the physicists plan to further investigate the possibility in the future.
"Our proposal is very general and any violation of energy conservation is expected to contribute to an effective cosmological constant," Josset said. "This could allow to set new constraints on phenomenological models beyond standard quantum mechanics.
"On the other hand, direct evidence that dark energy is sourced by energy non-conservation seems largely out-of-reach, as we have access to the value of lambda [the cosmological constant] today and constraints on its evolution at late time only."

Credit: Lisa Zyga  

 

Energy scenarios that actually provide useful decision-support tools for policymakers and investors

Fulfilling the promise of the 2015 Paris Agreement on climate change—most notably the goal of limiting the rise in mean global surface temperature since preindustrial times to 2 degrees Celsius—will require a dramatic transition away from fossil fuels and toward low-carbon energy sources. To map out that transition, decision-makers routinely turn to energy scenarios, which use computational models to project changes to the energy mix that will be needed to meet climate and environmental targets. These models account for not only technological, economic, demographic, political, and institutional developments, but also the scope, timing, and stringency of policies to reduce greenhouse gas emissions and air pollution.

Credit: David Pilbrow/Flickr

Model-driven energy scenarios provide policymakers and investors with a powerful decision-support tool but should not be used as a decision-making tool due to several limitations. So argues a new study in the journal Energy and Environment by Sergey Paltsev, deputy director of the MIT Joint Program on the Science and Policy of Global Change and a senior research scientist for both the Joint Program and the MIT Energy Initiative. The study shows that overall, energy scenarios are useful for assessing policymaking and investment risks associated with different emissions reduction pathways, but tend to overestimate the degree to which future energy demand will resemble the past.
"Energy scenarios may not provide exact projections, but they are the best available tool to assess the magnitude of challenges that lie ahead," Paltsev observes in the study, a unique review of the value and limits of widely used energy scenarios that range from the International Energy Agency (IEA) World Energy Outlook, to the Joint Program's own annual Food, Water, Energy and Climate Outlook (which uses the MIT Economic Projection and Policy Analysis model), to a recent Intergovernmental Panel on Climate Change (IPCC) assessment report (AR5) presenting 392 energy scenarios aligned with the 2 C climate stabilization goal.
The study points out that because energy scenarios tend to vary widely in terms of the projections they produce for a given policy and the degree of uncertainty associated with those projections, it's not advisable to base an energy policy or investment decision on a single energy scenario. Taken collectively, however, energy scenarios can help bring into sharp focus a range of plausible futures—information decision-makers can use to assess the scale and cost of the technological changes needed to effect significant transformations in energy production and consumption. A careful review of multiple energy scenarios associated with a particular emissions pathway can provide a qualitative analysis of what's driving the results and the potential risks and benefits of a proposed policy or investment.

That said, projections in energy scenarios can sometimes be highly inaccurate due to factors that are difficult to anticipate.
For example, according to the study, which compared several energy scenario projections to historical observations, most energy scenarios do not account for sudden changes to the status quo. One of the greatest contributors to uncertainty in energy scenarios is the demand for low-emitting energy technologies, whose timing and scale of deployment—dependent on several economic and political factors—is highly unpredictable. Paltsev notes that the IEA constantly underestimates renewable energy production; in its 2006 World Energy Outlook, the agency projected for 2020 a level of wind power generation that the world exceeded as early as 2013.
In addition, while energy scenarios have been largely successful in projecting the quantity of global energy demand (e.g., the 1994 IEA World Energy Outlook's projection for 2010 was off by only 10 percent, despite highly disruptive developments such as the breakup of the Soviet Union, the world recession in 2008, and the emergence of the shale gas industry), most have been considerably off the mark when it comes to projecting energy prices (e.g., in 1993 dollars, the 1994 IEA WEO projected $28/barrel in 2010, but the actual price was $53/barrel).
Recognizing the steep challenge in projecting demand and prices for different energy sources in the midst of a dramatic energy transition, Paltsev emphasizes that governments should not try to pick a "winner"—a single energy technology that seems poised to reduce emissions singlehandedly—but rather adopt a strategy that targets emissions reductions from any energy source.
"Governments shouldn't pick the winners, because most likely that choice will be wrong," he says. "They should instead design policies such as carbon-pricing and emissions trading systems that are designed to achieve emissions reduction targets at the least cost."

credit: Mark Dwortzan 

Tumor suppressor key in maintaining stem cell status in muscle

A gene known to suppress tumor formation in a broad range of tissues plays a key role in keeping stem cells in muscles dormant until needed, a finding that may have implications for both human health and animal production, according to a Purdue University study.

Shihuan Kuang, professor of animal sciences, and Feng Yue, a postdoctoral researcher in Kuang's lab, reported their findings in two papers published in the journals Cell Reports and Nature Communications. The results suggest modifying expression of the PTEN gene could one day play a role in increasing muscle mass in agricultural animals and improve therapies for muscle injuries in humans.
Muscle stem cells, called satellite cells, normally sit in a quiescent, or dormant, state until called upon to build muscle or repair a damaged muscle. Inability to maintain the quiescence would lead to a loss of satellite cells. As humans age, the number of satellite cells gradually declines and the remaining cells become less effective in regenerating muscles, resulting in muscle loss – a condition called sarcopenia.
Kuang and Yue, in the Nature Communications paper, explored the role tumor-suppressor gene PTEN plays in satellite cells. The PTEN gene encodes a protein that suppresses the growth signaling, thereby, limiting the growth of fast-growing tumor cells. Mutation of the PTEN gene is associated with many types of cancers, but how the gene functions in muscle stem cells is unknown.
To understand the function of a gene, the authors first wanted to know how the gene is expressed.
"This gene is highly expressed in the satellite cells when the cells are in the quiescent state. When they become differentiated, the PTEN level reduces," Yue said.
By knocking out the PTEN gene in resting satellite cells, the researchers found that satellite cells quickly differentiate and become muscle cells. So PTEN plays an essential role in keeping satellite cells in their quiescent state.
"You no longer have the stem cells once you knock out the gene," Kuang said.
In their Cell Reports paper, Kuang and Yue took a step further to examine PTEN function in proliferating stem cells. This time, they knocked out PTEN in embryonic progenitor cells, those that will later become muscle in the mouse. They found that as the mouse grew, muscle mass increased significantly—by as much as 40 percent in some muscles—over that of a normal mouse.
"That would be significant in an animal production point of view," Kuang said.
The increased muscle came with a cost, however. Besides creating muscle, those progenitor cells create satellite cells. Without PTEN, not only fewer satellite cells were created, but the resulting satellite cells cannot maintain dormancy, leading to an accelerated rate of depletion during aging.
The faster depletion of satellite cells during aging wouldn't matter much in an animal production scenario, Kuang said. Beef cattle, for example, are harvested before they age. The increase in muscle mass, however, would be a significant advantage in production efficiency.
The findings may lead to improvement in human health, the authors said. The ability to control the expression of PTEN could lead to therapies for quicker healing of muscle injuries.
"If you want to quickly boost up the stem cells to repair something, you need to suppress PTEN," Kuang said. "After that, you'd need to increase PTEN to return the cells back to quiescent state. If we could do that, you would suspect that the muscle would repair more quickly."
Knowing that PTEN also suppresses tumors in many types of tissues, the authors noted that the elimination of the gene did not cause tumor formation in the muscle cells they studied. That suggests regulation of PTEN could be a feasible method for improving human health and animal agriculture.

Credit : Brian Wallheimer

Raspberry Pi brings out shiny Compute Module 3

Compute Module 3

Another Raspberry Pi launch announcement—and another burst of news items explaining what's new, at what price.

This time it is about the Raspberry Pi Compute Module 3 (CM3). Trusted Reviews said it comes with 64-bit and multi-core functionality.
"The new Compute Module is based on the BCM2837 processor – the same as found in the Raspberry Pi 3 – running at 1.2 GHz with 1 gigabyte of RAM," said Hackaday.
The Raspberry Pi blog provided the CM3 launch announcement:
"Way back in April of 2014 we launched the original Compute Module (CM1), which was based around the BCM2835 processor of the original Raspberry Pi. CM1 was a great success and we've seen a lot of uptake from various markets, particularly in IoT and home and factory automation."
Now it has a new CM3 based on the Raspberry Pi 3 hardware. Take note: It is "providing twice the RAM and roughly 10x the CPU performance of the original Module," according to the blog.
Ars Technica noted that it was the first big upgrade since 2014. That year, said Trusted Reviews, The original module "combined the guts of a first-generation Pi with a small SODIMM-layout module."
The new version, said Joe Roberts in Trusted Reviews, "which uses the same BCM2837, a quad-core 64-bit ARMv8 part, as the Pi 3, brings the Compute Module fully up to date."
There will be two flavors—CM3 and CM3L (lite) —The 'L' version is a CM3 without eMMC Flash—that is, as described by RS Components,"not fitted with eMMC Flash and the SD/eMMC interface. But pins are available for the designer to connect their own SD/eMMC device."
According to the blog, the Lite version "brings the SD card interface to the Module pins so a user can wire this up to an eMMC or SD card of their choice."
Jon Brodkin in Ars Technica said that the Compute Module's stripped-down form factor makes it more suitable for embedded computing, as it fits into a standard SODIMM connector. The new Compute Module can run Windows IoT Core and supports Linux.
The latest version is being used by NEC, said Brodkin, in displays intended for digital signs, streaming, and presentations. The Raspberry Pi blog, meanwhile, said that "we're already excited to see NEC displays, an early adopter, launching their CM3-enabled display solution."
It stated pricing for the two flavors. The CM3 and CM3L are priced at $30 and $25, respectively (excluding tax and shipping), and this price applies to any size order. The original Compute Module is also reduced to $25. The blog said one can "Head on over to our partners element14 (or Farnell UK) and RS Components" to buy them.
What about backwards compatibility? According to the blog "The CM3 is largely backwards-compatible with CM1 designs which have followed our design guidelines."
The blog presented the caveats: The module is 1mm taller than the original module; "the processor core supply (VBAT) can draw significantly more current. Consequently, the processor itself will run much hotter under heavy CPU load, so designers need to consider thermals based on expected use cases."

credit: Nancy Owano 

The strength of real hair inspires new materials for body armor

Researchers at the University of California San Diego investigate why hair is incredibly strong and resistant to breaking. Credit: iStock.com/natevplas

In a new study, researchers at the University of California San Diego investigate why hair is incredibly strong and resistant to breaking. The findings could lead to the development of new materials for body armor and help cosmetic manufacturers create better hair care products.

Hair has a strength to weight ratio comparable to steel. It can be stretched up to one and a half times its original length before breaking. "We wanted to understand the mechanism behind this extraordinary property," said Yang (Daniel) Yu, a nano-engineering Ph.D. student at UC San Diego and the first author of the study.
"Nature creates a variety of interesting materials and architectures in very ingenious ways. We're interested in understanding the correlation between the structure and the properties of biological materials to develop synthetic materials and designs—based on nature—that have better performance than existing ones," said Marc Meyers, a professor of mechanical engineering at the UC San Diego Jacobs School of Engineering and the lead author of the study.
In a study published online in Dec. in the journal Materials Science and Engineering C, researchers examined at the nano-scale level how a strand of human hair behaves when it is deformed, or stretched. The team found that hair behaves differently depending on how fast or slow it is stretched. The faster hair is stretched, the stronger it is. "Think of a highly viscous substance like honey," Meyers explained. "If you deform it fast it becomes stiff, but if you deform it slowly it readily pours."
Hair consists of two main parts—the cortex, which is made up of parallel fibrils, and the matrix, which has an amorphous (random) structure. The matrix is sensitive to the speed at which hair is deformed, while the cortex is not. The combination of these two components, Yu explained, is what gives hair the ability to withstand high stress and strain.
And as hair is stretched, its structure changes in a particular way. At the nano-scale, the cortex fibrils in hair are each made up of thousands of coiled spiral-shaped chains of molecules called alpha helix chains. As hair is deformed, the alpha helix chains uncoil and become pleated sheet structures known as beta sheets. This structural change allows hair to handle up a large amount deformation without breaking.
This structural transformation is partially reversible. When hair is stretched under a small amount of strain, it can recover its original shape. Stretch it further, the structural transformation becomes irreversible. "This is the first time evidence for this transformation has been discovered," Yu said.
"Hair is such a common material with many fascinating properties," said Bin Wang, a UC San Diego PhD alumna and co-author on the paper. Wang is now at the Shenzhen Institutes of Advanced Technology in China continuing research on hair.
The team also conducted stretching tests on hair at different humidity levels and temperatures. At higher humidity levels, hair can withstand up to 70 to 80 percent deformation before breaking. Water essentially "softens" hair—it enters the matrix and breaks the sulfur bonds connecting the filaments inside a strand of hair. Researchers also found that hair starts to undergo permanent damage at 60 degrees Celsius (140 degrees Fahrenheit). Beyond this temperature, hair breaks faster at lower stress and strain.
"Since I was a child I always wondered why hair is so strong. Now I know why," said Wen Yang, a former postdoctoral researcher in Meyers' research group and co-author on the paper.
The team is currently conducting further studies on the effects of water on the properties of human hair. Moving forward, the team is investigating the detailed mechanism of how washing hair causes it to return to its original shape.

How To Rename Multiple Files at One Time in Windows 10 ??

In the Windows 10 File Explorer this process of renaming files in large batches is simple but for many users, myself included, the feature is not well known.
In this Quick Tip article I want to share with you how easy it is do use this capability of File Explorer.


 Process :-  

Step 1 : Select the image you want to rename
In Windows 10 there is always more than one way to accomplish most tasks so once you have File Explorer open to the directory of files you want to rename you can use the keyboard shortcut CTRL + A to select all of the files or use the Select All button on the Home view of File Explorer.Or select only those image you want to rename at once.

When You have selected the images/files that you want to rename as a group. 
Move to step 2  
Step 2 : Rename the files
Renaming files in a batch is done as you do same with the one file  rename one file .
Once all of the images/files you want to rename are selected, right click on the first image/file and select Rename from the context menu.

You will then have an editable name field for the first image/file in the sequence - just give it whatever name you choose for the group of images/files. Hit the Enter key once you have the new name typed in.

Now you will see all the files with the new name followed by a sequential number in parentheses. You have now successfully renamed your files in one batch.

Here is one last interesting thing with this feature - if you click on any other image/file in the collection it will give that file the first sequential number and then continuing from that image/file in sequential order until it hits the end of the list. At that point it will go back up to the first one and continue to renaming until the file/image just before the one you started the renaming with at the beginning.
So a key aspect of this process is to make sure you have the files in the order you want them numbered in and start with the first image/file in the directory.


Screenshot :-