A compound found in oranges has been found to target obesity and reduce the risks of developing associated diseases, according to a new study. The researchers note that drinking enough orange juice every day may have a drastic impact on obesity as a result, even in cases where a high-fat and high-cholesterol diet is being consumed. The beneficial compound was also found to reduce the amount of plaque in arteries.
The scientific revolution was ushered in at the beginning of the 17th century with the development of two of the most important inventions in history — the telescope and the microscope. With the telescope, Galileo turned his attention skyward, and advances in optics led Robert Hooke and Antonie van Leeuwenhoek toward the first use of the compound microscope as a scientific instrument, circa 1665. Today, we are witnessing an information technology-era revolution in microscopy, supercharged by deep learning algorithms that have propelled artificial intelligence to transform industry after industry.
One of the major breakthroughs in deep learning came in 2012, when the performance superiority of a deep convolutional neural network combined with GPUs for image classification was revealed by Hinton and colleagues [1] for the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). In AI’s current innovation and implementation phase, deep learning algorithms are propelling nearly all computer vision-intensive applications, including autonomous vehicles (transportation, military), facial recognition (retail, IT, communications, finance), biomedical imaging (healthcare), autonomous weapons and targeting systems (military), and automation and robotics (military, manufacturing, heavy industry, retail).
It should come as no surprise that the field of microscopy would ripe for transformation by artificial intelligence-aided image processing, analysis and interpretation. In biological research, microscopy generates prodigious amounts of image data; a single experiment with a transmission electron microscope can generate a data set containing over 100 terabytes worth of images [2]. The myriad of instruments and image processing techniques available today can resolve structures ranging in size across nearly 10 orders of magnitude, from single molecules to entire organisms, and capture spatial (3D) as well as temporal (4D) dynamics on time scales of femtoseconds to seconds.
Bottomline: DON’T PANIC!
This is a Cary prodocution!
If you’d like to use this video in your own projects, contact me through Twitter DMs at @realCarykh! I almost always say yes, but just make sure it’s ok with me first. Thanks!
Humany “behind-the-scenes” channel: https://www.youtube.com/channel/UCx_JS-Fzrq-bXUYP0mk9Zag
Sources: https://pastebin.com/R4N9m94g
One of the hallmarks of cancer is cell immortality. A Northwestern University organic chemist and his team now have developed a promising molecular tool that targets and inhibits one of cell immortality’s underlying gears: the enzyme telomerase.
This enzyme is found overexpressed in approximately 90% of human cancer cells and has become an important subject of study for cancer researchers. Normal cells have the gene for telomerase, but it typically is not expressed.
“Telomerase is the primary enzyme that allows cancer cells to live forever,” said Karl A. Scheidt, who led the research. “We want to short-circuit this immortality. Now we have designed a first-of-its-kind small molecule that irreversibly binds to telomerase, shutting down its activity. This mechanism offers a new pathway for treating cancer and understanding cellular aging.”
I want a mini trex pet idc what peeps say lol :p.
Scientists have spotted cellular structures—and a substance that behaves like DNA—in cartilage more than 70 million years old.
Humans are the cause of many problems because humans follow humans with no solutions. Everyone is talking about coronavirus, but not about ending the virus because they are not solutions driven. Just as Wangari Maathai taught the world to plant trees to fix what humans messed up. We need to also teach the world to plant bees #beekeeping to fix what humans messed up. This does not just mean bees, but other species we are making extinct. We need to be the change not just talk about and protest for change.
Researchers have figured out which plant species bumble bees prefer to include in their diets, providing advice to those wishing to help with bee conservation efforts.
During the summer months of 2015 to 2016, authors captured bumble bees on more than 100 plant species across more than 400 plots in the Plumas National Forest in California — a mountainous, meadowy area with wildlife habitats near running water, where bumble bees are abundant.
The findings, published Tuesday in the journal Environmental Entomology, revealed that the most popular plant species among the bees were Oregon checker-mallow and mountain pennyroyal flowers.
Domestic cats exhibit abundant variations in tail morphology and serve as an excellent model to study the development and evolution of vertebrate tails. Cats with shortened and kinked tails were first recorded in the Malayan archipelago by Charles Darwin in 1868 and remain quite common today in Southeast and East Asia. To elucidate the genetic basis of short tails in Asian cats, we built a pedigree of 13 cats segregating at the trait with a founder from southern China and performed linkage mapping based on whole genome sequencing data from the pedigree. The short-tailed trait was mapped to a 5.6 Mb region of Chr E1, within which the substitution c. 5T C in the somite segmentation-related gene HES7 was identified as the causal mutation resulting in a missense change (p. V2A). Validation in 245 unrelated cats confirmed the correlation between HES7-c. 5T C and Chinese short-tailed feral cats as well as the Japanese Bobtail breed, indicating a common genetic basis of the two. In addition, some of our sampled kinked-tailed cats could not be explained by either HES7 or the Manx-related T-box, suggesting at least three independent events in the evolution of domestic cats giving rise to short-tailed traits.
The majority of vertebrate species, with the remarkable exceptions of humans and apes, possess a visible tail throughout their lifespans. The animal tail is an important appendage to the torso and plays adaptive roles in locomotion, balance, communication, thermoregulation and even energy storage1. In vertebrates, tails vary dramatically in color, size, shape and mobility and represent different evolutionary histories, including multiple independent events of shortening or loss of the tail in distinct lineages. Understanding the genetic causes of intraspecific tail length polymorphism would be one essential step toward elucidating the mechanisms underlying the development and evolution of tails. In laboratory mice, genetic studies of axial skeleton development have identified multiple genes and mutations involved in caudal vertebra development that have pleiotropic effects on fertility, somitogenesis, and meiotic recombination, thus shedding light on vertebrate evolution2,3,4,5.
Finally!
The Centers for Disease Control and Prevention (CDC) will soon issue new guidance clarifying that Americans can be tested for the coronavirus subject to a doctor’s orders.
Vice President Pence previewed the guidance during an off-camera briefing with reporters at the White House Tuesday evening, explaining that some local officials were given the false impression that tests could only be administered to patients who were more than mildly symptomatic.
“We will issue new guidance from the CDC that will make it clear that any Americans can be tested, no restrictions, subject to doctor’s orders,” Pence said.
My most recent post, “Living in a Computer Simulation,” elicited some insightful comments from a reader skeptical of the possibility of mind uploading. Here is his argument with my own brief response to it below.
My comment concerns a reductive physicalist theory of the mind, which is the view that all mental states and properties of the mind will eventually be explained by scientific accounts of physiological processes and states … Basically, my argument is that for this view of the mind, mind uploading into a computer is completely impractical due to accumulation of errors.
In order to replicate the functioning of a “specific” human mind within a computer, one needs to replicate the functioning of all parts of that specific brain within the computer. [In fact, the whole human body needs to be represented because the mind is a product of all sensations of all parts of the body coalescing within the brain. But, for the sake of argument, let’s just consider replicating only the brain.] In order to represent a specific human brain in the computer, each neuron in the brain would need a digital or analog representation, instantiated in hardware, software or a combination of the two. Unless this representation is an exact biological copy (clone), it will have some inherent “error” associated with it. So, let’s do a sort of “error analysis” (admittedly non-rigorous).
Researchers can print cells and biomaterials that make up human tissues, but there’s still a long way to go before fully functional organs can be made to order.
