Metric Ion Classification (MIC): A deep learning tool for assigning ions and waters in cryo-EM and x-ray crystallography structures

Posted by dbos UCSF

Kavli Affiliate: Michael Keiser | Authors: Laura Shub, Wenjin Liu, Georgios Skiniotis, Michael J. Keiser and Michael J. Robertson | Summary: At sufficiently high resolution, x-ray crystallography and cryogenic electron microscopy are capable of resolving small spherical map features corresponding to either water or ions. Correct classification of these sites provides crucial insight for understanding […]


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Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning

Posted by dbos UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Mengxian Lyu, Cheng Peng, Xiaohan Li, Patrick Balian, Jiang Bian | Summary: Automatic text summarization (ATS) is an emerging technology to assist clinicians in providing continuous and coordinated care. This study presents an approach to summarize doctor-patient dialogues using generative large language models (LLMs). We developed prompt-tuning […]


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Chemical Diversity on Small Scales — Abundance Analysis of the Tucana V Ultra-Faint Dwarf Galaxy

Posted by dbos Chicago

Kavli Affiliate: Alexander P. Ji | First 5 Authors: Terese T. Hansen, Joshua D. Simon, Ting S. Li, Domani Sharkey, Alexander P. Ji | Summary: The growing number of Milky Way satellites detected in recent years has introduced a new focus for stellar abundance analysis. Abundances of stars in satellites have been used to probe […]


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Chronic Ethanol Exposure Produces Persistent Impairment in Cognitive Flexibility and Decision Signals in the Striatum

Posted by dbos Hopkins

Kavli Affiliate: Daeyeol Lee and Patricia Janak | Authors: Yifeng Cheng, Robin Magnard, Angela Langdon, Daeyeol Lee and Patricia H. Janak | Summary: Value-based decision-making relies on the striatum, where neural plasticity can be altered by chronic ethanol (EtOH) exposure, but the effects of such plasticity on striatal neural dynamics during decision-making remain unclear. This […]


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In-Hand Following of Deformable Linear Objects Using Dexterous Fingers with Tactile Sensing

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Mingrui Yu, Boyuan Liang, Xiang Zhang, Xinghao Zhu, Lingfeng Sun | Summary: Most research on deformable linear object (DLO) manipulation assumes rigid grasping. However, beyond rigid grasping and re-grasping, in-hand following is also an essential skill that humans use to dexterously manipulate DLOs, which requires continuously changing […]


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In-Hand Following of Deformable Linear Objects Using Dexterous Fingers with Tactile Sensing

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Mingrui Yu, Boyuan Liang, Xiang Zhang, Xinghao Zhu, Xiang Li | Summary: Most research on deformable linear object (DLO) manipulation assumes rigid grasping. However, beyond rigid grasping and re-grasping, in-hand following is also an essential skill that humans use to dexterously manipulate DLOs, which requires continuously changing […]


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Intention Action Anticipation Model with Guide-Feedback Loop Mechanism

Posted by dbos UCAS

Kavli Affiliate: Fuchun Zhang | First 5 Authors: Zongnan Ma, Fuchun Zhang, Zhixiong Nan, Yao Ge, | Summary: Anticipating human intention from videos has broad applications, such as automatic driving, robot assistive technology, and virtual reality. This study addresses the problem of intention action anticipation using egocentric video sequences to estimate actions that indicate human […]


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Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning

Posted by dbos UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Zehao Yu, Kaleb E Smith, Wei-Hsuan Lo-Ciganic, Jiang Bian | Summary: The progress in natural language processing (NLP) using large language models (LLMs) has greatly improved patient information extraction from clinical narratives. However, most methods based on the fine-tuning strategy have limited transfer learning ability […]


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