A complete architectural breakdown of Transformers, paired with a step-by-step guide to coding BERT from the ground up.
The researchers present the first integrative catalogue of 267 cullin–RING substrate receptors, of which 93 are linked to germline disorders.
The most frequent substrate receptor (SR)-related diseases are neurodevelopmental, neuromuscular, and congenital organ/skeletal syndromes.
Disease associations are shaped by substrate context rather than tissue enriched expression.
Pathogenicity arises through altered degron recognition, disrupted complex assembly, dosage imbalance, or ubiquitin–proteasome system-independent functions.
Distinct variants in the same SR can yield divergent phenotypes, reflecting dosage sensitivity and developmental context.
Patient alleles inform diagnosis and therapeutic strategies, positioning SRs as central nodes connecting proteostasis, rare-disease genetics, and targeted protein degradation. sciencenewshighlights ScienceMission https://sciencemission.com/Cullin%E2%80%93RING-receptors
Cyanobacteria and algae are the major photosynthetic organisms in deserts because they survive desiccation, high solar radiation and extreme temperature fluctuations better than other plants. Under favourable conditions, desert cyanobacteria and algae evidently photosynthesise. However, our understanding of whether each group modulates this metabolic process in response to preceding harsh conditions remains limited. To find out the effect of aridity on the photosynthetic activity of desert cyanobacteria and algae, we compared their cellular biovolume-specific carbon dioxide (CO2) fixation in the hyper-arid and arid regions of a typical hot desert—the central Negev Desert. We found that the biovolume-specific CO2 fixation of both cyanobacteria and algae was highly variable rather than being constant.
The high-performance semiconductor devices powering smartphone displays, AI computing, EV batteries and more are increasingly incorporating 2D materials to overcome silicon’s scaling limits. To optimize these technologies, a University of Michigan Engineering team developed a precise mathematical framework that accounts for anisotropic—or unevenly spreading—conductivity and device geometry.
Accurate models of how currents move through anisotropic thin films, made of layered 2D materials, can enable the design of more reliable, high-performance nanoelectric devices. Specifically, the model can help engineers reduce current crowding and spreading resistance, essentially current traffic jams, that occur at vertical electrical contacts that connect with the top of a 2D surface. The study is published in ACS Applied Electronic Materials.
“And what those stories teach us about how AI will revolutionize math”
No matter the size or severity, wounds on human skin are difficult to monitor while they heal. Biopsies disrupt the wound site and are too invasive for routine, repeated monitoring, and most medical imaging devices that could do the job are large, expensive, and booked up with more pressing diagnostics. Clinicians typically resort to visual inspection or quick measurements of the wound’s size over time.
Based on research completed as part of a multi-year collaboration with Nokia Bell Labs, biomedical engineers at Duke University are developing a solution. Using a custom-built optical coherence tomography (OCT) imaging system together with artificial intelligence (AI) models grounded in a deep understanding of tissue regeneration, researchers have shown they can accurately and objectively measure the progress of wounds healing over time.
Using their new approach, the researchers also show that a hydrogel under development to improve wound healing works better with stiffer mechanical properties. The results are a two-for-one boon in a challenging area for both clinicians and researchers.