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China General , Inner Mongolia , Nei Mongol , South Korea , Genghis Khan , Khitan Dragon , Researcha Sun Associate Professor , Science Research , Ministry Of Agriculture , Xilingol League , Science Branch , Na Xilingol League , World Inter , Experimental Station , Hulunbeier Region , Green Circle , Qing Dynasty , China Modern , Sudden Impact China , Yuzhu Professor , Sun Associate Professor , King Associate Professor , Lee Gordon Associate Professor , Order China , Associate Professor , Yun Wei Professor ,

Scientists Identify Genetic Pathway that Suppresses Lou Gehrig's Disease

Date Time
Scientists Identify Genetic Pathway that Suppresses Lou Gehrig’s Disease
Professor Chunghun Lim and his research team in the Department of Biological Sciences unveiled a neuroprotective pathway that suppresses Lou Gehrig’s Disease (ALS).
Nucleocytoplasmic transport (NCT) defects have been implicated in neurodegenerative diseases, such as C9ORF72-associated amyotrophic lateral sclerosis and frontotemporal dementia (C9-ALS/FTD). In this study, the research team has identified a neuroprotective pathway of like-Sm protein 12 (LSM12) and exchange protein directly activated by cyclic AMP 1 (EPAC1) that sustains the nucleocytoplasmic RAN gradient and thereby suppresses NCT dysfunction by the C9ORF72-derived poly (glycine-arginine) protein. ....

South Korea , Lou Gehrig , Jongbo Lee , Department Of Biological Sciences , National Research Foundation Of Korea , Korea Health Technology , Suh Kyungbae Foundation , Korean Ministry Of Health , Professor Chunghun Lim , Biological Sciences , National Research Foundation , Korea Health Technology Rd Project , Korean Ministry , Ju Min Park , Ji Hyung Kim , Ministry Of Health , Amyotrophic Lateral Sclerosis , Health Technology , Cell Nucleus , தெற்கு கொரியா , லூ கேஹ்ரிக் , துறை ஆஃப் உயிரியல் அறிவியல் , தேசிய ஆராய்ச்சி அடித்தளம் ஆஃப் கொரியா , கொரியா ஆரோக்கியம் தொழில்நுட்பம் , கொரியன் அமைச்சகம் ஆஃப் ஆரோக்கியம் , உயிரியல் அறிவியல் ,

New study investigates how life on land recovered after "The Great Dying"

Date Time
New study investigates how life on land recovered after “The Great Dying”
Lystrosaurus: After the mass extinction, the ecosystem was unusual, with hugely common examples of the dicynodont Lystrosaurus [2,3], sometimes comprising 90% of the assemblage. Some smaller reptiles also survived, and these were preyed on by rare, water-dwelling proterosuchians [8].
Xiaochong Guo
Over the course of Earth’s history, several mass extinction events have destroyed ecosystems, including one that famously wiped out the dinosaurs. But none were as devastating as “The Great Dying,” which took place 252 million years ago during the end of the Permian period.
A new study, published today in Proceedings of the Royal Society B, shows in detail how life recovered in comparison to two smaller extinction events. ....

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Arts and Culture Queen Mary launches its Conversations Week

Queen Mary University of London
In 2020, Arts and Culture at Queen Mary University of London invited UK-based artists to converse with academics from across the university, using its Higher Education Innovation Fund. A dentist spoke to a sculptor. A mathematician to a choreographer. A dramatist to an opera singer.
While an unforeseen pandemic limited human contact for many of us, these artists and academics found ways to talk. They held conversations about climate change, mental health, housework, racism, childcare, justice, wellbeing. They exchanged knowledge. Expertise. Then the artists set to work.
The results are original artworks and creative responses that could not have happened without conversations between academics and artists. They remind us of the power of art and the impact of connecting deep thinkers across fields. Watch the video on Vimeo. ....

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EPFL algorithm in world's most popular deep learning software

Artificial Intelligence technology © 2021 4X-image
PyTorch is used for countless AI applications ranging from Tesla’s Autopilot to Facebook’s translation software and its latest version, just launched, features an EPFL communication-efficient training algorithm that even helps the planet.
Deep learning is part of a broader family of machine learning methods, based on artificial neural networks, and has allowed us to develop everything from voice and image recognition tools, enhance drug discovery and toxicology, and improve financial fraud detection.
As the applications of machine learning become bigger, more complex and increasingly ubiquitous in our modern, digital age, neural networks have grown tremendously in size, consisting of trillions of connections. To train these models faster, researchers typically distribute the training effort over many computers or Graphics Processing Units yet, just like humans that collaborate to solve a task, collaborating comput ....

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