Results 121 to 130 of about 1,231,330 (253)
Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer +7 more
wiley +1 more source
Estrous detection and timed AI protocols: complementary not mutually exclusive
The goal of this brief review is to evaluate whether reproductive programs for lactating dairy cows may be solely dependent on timed AI protocols or AI on detected estrus.
Chebel, Ricardo
core +1 more source
A longitudinal analysis of declining medical safety messaging in generative AI models
Generative AI models, including large language models (LLMs) and vision-language models (VLMs), are increasingly used to interpret medical images and answer clinical questions.
Sonali Sharma +2 more
doaj +1 more source
The neurokinin 1 receptor exists as full‐length (NK1L) and C‐terminally truncated (NK1S) splice variants. We show that NK1S heterodimerizes with NK1L, impairing Gαq coupling and Ca2+ mobilization while enhancing β‐arrestin1 recruitment. NK1S suppresses substance P‐driven gene expression and cell migration, revealing NK1S as an endogenous biased ...
Lan Phuong Nguyen +8 more
wiley +1 more source
The C‐terminal domain of yeast Arginyltransferase1 is essential for its catalytic activity
Arginyltransferase 1 (Ate1), a eukaryotic enzyme, catalyses arginylation, transferring arginine from tRNA‐Arg to the amino terminus of the target protein. Overexpression of Ate1 in yeast is lethal and is dependent on arginylation. This study elucidates how mutations in the cofactor‐binding and active site of Ate1 and truncation of its structural ...
Vikas Kumar Yadav +4 more
wiley +1 more source
IntroductionWhile AI-generated writing feedback research has flourished, most studies prioritizeholistic quality over syntactic competence and rely on static pre-post comparisons, neglecting dynamic multi-round evolution.MethodsThis 35-week quasi ...
Qiong Xiao, Qiong Xiao, Yunhe Sun
doaj +1 more source
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court +3 more
wiley +1 more source
Selective elimination of quiescent cancer cells by dequalinium chloride via ROS‐mediated ferroptosis
Dequalinium chloride (DQ) selectively eliminates quiescent cancer cells (QCCs) by amplifying mitochondrial ROS. QCCs exhibit elevated basal ROS and limited redox‐buffering capacity, making them vulnerable to further ROS increases. DQ‐induced ROS exceeds the tolerance threshold, triggering lipid peroxidation and ferroptosis, whereas proliferating cells ...
Kotaro Miyamoto +14 more
wiley +1 more source
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page +4 more
wiley +1 more source
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source

