Results 251 to 260 of about 294,479 (334)

The Challenge of "Defining" Emotions. [PDF]

Brain Sci
Ortony A.
europepmc   +1 more source

Revising Fascial Anatomy With a Focus on the Fusion Fascia in Mesenteric Gastrointestinal Cancer Surgery

Annals of Gastroenterological Surgery, EarlyView.
This review critically reassesses our prior hypothesis and proposes a revised anatomical model of the fusion fascia that is broadly applicable to GI cancer surgeries grounded in the principles of mesenteric resection. Our synthesis suggests that the fusion fascia is neither a dense connective tissue membrane nor a remnant of mesothelial fusion, but ...
Hisashi Shinohara, Yasunori Kurahashi, Jun Watanabe, Yuichi Nagakawa, Tatsuro Nakamura, Eiichiro Nakao, Yudai Hojo, Shugo Kohno, Motoki Murakami, Yoshinori Ishida   +9 more
wiley   +1 more source

Extending the Bicriterion Approach for Anticlustering: Exact and Hybrid Approaches. [PDF]

Psychometrika
Papenberg M, Breuer M, Diekhoff M, Tran NK, Klau GW.   +4 more
europepmc   +1 more source

Evaluation of Experienced Manipulation Characteristics in Robotic Surgery Using Log Data From the Hinotori Surgical System

Annals of Gastroenterological Surgery, EarlyView.
This study analyzed log data from the Japanese hinotori surgical robot to characterize manipulation performed by experienced surgeons in robotic surgery. Compared with less‐experienced surgeons, the experienced group demonstrated shorter task durations, reduced travel distances with the right instrument (Arm3), faster and more dynamically modulated ...
Masaki Saito, Shunsuke Hayakawa, Hiroyuki Sagawa, Tamiaki Kondo, Masanao Ohashi, Sunao Ito, Reo Sato, Hajime Ushigome, Kenta Saito, Ryo Ogawa, Hiroki Takahashi, Shuji Takiguchi   +11 more
wiley   +1 more source

Integrating social science into oral health and dental research: a narrative review. [PDF]

Front Oral Health
Howard F, Jama N, Duangthip D.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Effects of Hearing Loss on Semantic Prediction: Delayed Prediction for Intelligible Speech When Listening Is Demanding. [PDF]

Ear Hear
Fernandez LB, Shehzad M, Hadley LV.
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Transformer model with external token memories and attention for PersonaChat. [PDF]

Sci Rep
Sun T, Fujita K.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source