Results 51 to 60 of about 3,322 (264)

Analysis of Technical Risks and Ethical Lapses in the Da Vinci Surgical Robot

Yixue yu zhexue
This study integrates 59098 adverse event reports (2005-2024) and 4060 Reddit doctor-patient comments to analyze the evolving risk landscape. Findings indicate a significant surge in adverse events during early system iterations, with heightened risks in
Chang WANG, Limeng ZHU, Pusheng WANG
doaj   +1 more source

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Advanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen, Jingrui Zhong, Xiaochun Zhang, Jingke Chen, Lin Guo, Xiaoliang Xiong, Xiaonan Zhang, Xiangyu Liu, Bailong Xiao, Boxue Tian   +9 more
wiley   +1 more source

Conciliationism as Epistemic Concession in Religious Peer Disagreement

İlahiyat Tetkikleri Dergisi
This paper examines religious disagreements between epistemic peers—individuals with equal cognitive capacities—focusing on the two dominant responses: conciliationism and steadfastness.
Nesim Aslantatar
doaj   +1 more source

RESOLVING THE QUESTION OF DOUBT: GEOMETRICAL DEMONSTRATION IN THE MEDITATIONS [PDF]

Societate şi Politică, 2012
The question of what Descartes did and did not doubt in the Meditations has received a significant amount of scholarly attention in recent years. The process of doubt in Meditation I gives one the impression of a rather extreme form of skepticism, while ...
Steven BURGESS
doaj  

Active Metamaterials with Tunable Shear Nonreciprocity and Nonlinear Dynamics

Advanced Science, EarlyView.
Active gear‐based mechanical metamaterials enable simultaneous control of translational and torsional stiffnesses by 30–100×, break shear reciprocity under positive versus negative loads, broadly tune resonant frequencies, and offer programmable dynamic responses.
Xin Fang, Miao Yu, Dianlong Yu, Li Cheng
wiley   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Epistemic rationality: Skepticism toward unfounded beliefs requires sufficient cognitive ability and motivation to be rational

Personality and Individual Differences, 2018
Why does belief in the paranormal, conspiracy theories, and various other phenomena that are not backed up by evidence remain widespread in modern society? In the present research we adopt an individual difference approach, as we seek to identify psychological precursors of skepticism toward unfounded beliefs.
Ståhl, Tomas, van Prooijen, Jan Willem
openaire   +2 more sources

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source