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All hail the powerful One climbed my wood structure that went straight up then went to the roof o.o. Also their hands make them like chimps.


How does intelligence ofs compare with other species? That was a topic of heated debate between 1905 and 1915 within the then-nascent field of comparative psychology.

In 1907, psychologist Lawrence W. Cole, who had established a colony ofs at the University of Oklahoma, and Herbert Burnham Davis, a doctoral student at Clark University, each published the results of nearly identical experiments on the processes of learning, association and memory ins. They relied on E.L. Thorndike’s puzzle-box methodology, which involved placing animals in wooden crates from which the animal had to escape by opening the latch or sequence of latches. They observed the number of trials required for successful completion and the extent to which the animal retained the ability to solve the same problem more quickly when confronted again with it. Using this method, they sought what Davis called “a tolerable basis” for ranking the intelligence ofs on the phylogenetic scale of evolutionary development. They independently concluded thats bested the abilities of cats and dogs, most closely approximating the mental attributes of monkeys.

Raccoons had attracted interest because they flourished, rather than receded, in the face of human expansion. Over the centuries, people had hunteds for food and fur, decried them as agricultural pests and urban bandits, and kept them as household pets. This latter role brought the species to psychologists’ attention. Cole reported that he got the idea to work withs from observing the behavior of a pet kept at a local market. At the time, most animal experiments being conducted occurred on the borderlands of academic research, nature study and domestic life. Scientists such as Charles Darwin, William James and James Mark Baldwin all developed psychological theories based upon observations of their own children and pets. Cole’ss, for example, lived simultaneously as research objects and amusing pets, a relationship that shaped how these experiments were presented to and perceived by the public. Despite Davis’s protests, a widely printed newspaper story depicted his puzzle-box experiments as an example of teaching “tricks” to one’s pets.

Summary: A new method identified a large set of gene regulatory regions in the brain, selected throughout human evolution.

Source: Swiss Institute of Bioinformatics.

With only 1% difference, the human and chimpanzee protein-coding genomes are remarkably similar. Understanding the biological features that make us human is part of a fascinating and intensely debated line of research. Researchers at the SIB Swiss Institute of Bioinformatics and the University of Lausanne have developed a new approach to pinpoint, for the first time, adaptive human-specific changes in the way genes are regulated in the brain.

Electric cars and trucks may be the hottest topic in e-mobility, but quiet, clean-running electric drives have the ability to revolutionize all kinds of vehicles and machinery. We’ve seen it with the popularization and evolution of ebikes, and electric tech is slowly finding its way into more demanding powersports applications, like electric dirt bikes and snowmobiles. French startup MoonBikes Motors is carving some space between the e-snowmobile and e-dirt bike categories, creating a full-throttle electric snow bike meant to travel lightly and deliver sharp, explosive exhilaration on the snow.

It’s that time of year when experimental all-electric snow machines start rolling out from their high-altitude garages to carve their signatures into the Alpine snow and public consciousness. Last year it was the Austrian-built BobSla snow-kart motoring around its home turf at the Obergurgl-Hochgurgl ski area, and this year it’s the French-crafted MoonBike all-electric snow bike spraying snow in its own corner of the Alps.

Designed for both all-out snowy thrills and dutiful utility, the MoonBike features a snowmobile-like combination of rear track drive and front ski. A motor with 3 kW of continuous power pushes the bike to speeds up to 28 mph (45 km/h).

WASHINGTON (SBG) — Researchers studying cognitive deficits following traumatic brain injuries have discovered what they say is a revolutionary drug that could provide the cure for aging. The study by the University of California San Francisco has shown promising results among mice, essentially reversing age-related declines in memory. “We went on with this crazy experiment… and were able to return their cognitive function to as if they were never injured,” said Dr.

Researchers at EPFL have developed an approach to print tiny tissues that look and function almost like their full-sized counterpart. Measuring just a few centimeters across, the mini-tissues could allow scientists to study biological processes—and even test new treatment approaches—in ways that were previously not possible.

For years, mini versions of organs such as the brain, kidney and lung—known as “organoids”—have been grown from . Organoids promise to cut down on the need for and offer better models to study how human organs form and how that process goes awry in disease. However, conventional approaches to grow organoids result in stem cells assembling into micro-to millimeter-sized, hollow spheres. “That is non-physiological, because many organs, such as the intestine or the airway, are tube-shaped and much larger,” says Matthias Lütolf, a professor at EPFL’s Institute of Bioengineering, who led the study published today in Nature Materials.

To develop larger organoids that resemble their normal counterparts, Lütolf and his team turned to bioprinting. Just as 3D-printers allow people to create everyday objects, similar technology can help bioengineers to assemble living tissues. But instead of the plastics or powders used in conventional 3D-printers, bioprinters use bioinks—liquids or gels that encapsulate living cells. “Bioprinting is very compelling because it allows you to deposit cells anywhere in 3D space, so you could think of arranging cells into an organ-like configuration such as a tube,” Lütolf says.

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Neuroscientists find that interpreting code activates a general-purpose brain network, but not language-processing centers.

In some ways, learning to program a computer is similar to learning a new language. It requires learning new symbols and terms, which must be organized correctly to instruct the computer what to do. The computer code must also be clear enough that other programmers can read and understand it.

In spite of those similarities, MIT neuroscientists have found that reading computer code does not activate the regions of the brain that are involved in language processing. Instead, it activates a distributed network called the multiple demand network, which is also recruited for complex cognitive tasks such as solving math problems or crossword puzzles.

“People want to know what makes someone a good programmer,” Liu said. “If we know what kind of neuro mechanisms are activated when someone is programming, we might be able to find a better training program for programmers.” By mapping the brain activity of expert computer programmers while they puzzled over code, Johns Hopkins University scientists have found the neural mechanics behind this increasingly vital skill.

Though researchers have long suspected the for computer programming would be similar to that for math or even language, this study revealed that when seasoned coders work, most happens in the network responsible for logical reasoning, though in the left brain region, which is favored by language.

“Because there are so many ways people learn programming, everything from do-it-yourself tutorials to formal courses, it’s surprising that we find such a consistent brain activation pattern across people who code,” said lead author Yun-Fei Liu, a Ph.D. student in the university’s Neuroplasticity and Development Lab. “It’s especially surprising because we know there seems to be a crucial period that usually terminates in for , but many people learn to code as adults.”

Computer programming is a novel cognitive tool that has transformed modern society. What cognitive and neural mechanisms support this skill? Here, we used functional magnetic resonance imaging to investigate two candidate brain systems: the multiple demand (MD) system, typically recruited during math, logic, problem solving, and executive tasks, and the language system, typically recruited during linguistic processing. We examined MD and language system responses to code written in Python, a text-based programming language (Experiment 1) and in ScratchJr, a graphical programming language (Experiment 2); for both, we contrasted responses to code problems with responses to content-matched sentence problems. We found that the MD system exhibited strong bilateral responses to code in both experiments, whereas the language system responded strongly to sentence problems, but weakly or not at all to code problems. Thus, the MD system supports the use of novel cognitive tools even when the input is structurally similar to natural language.