Results 241 to 250 of about 13,137 (314)

"But Then They Don't Use the Same Money to Give Us Services": Attitudes and Perspectives on Dementia Care Community-Based Research in Hispanic Communities. [PDF]

J Appl Gerontol
Parker LJ, Nkimbeng M, Rincongallardo A, Marx KA, Johnson E, Koeuth S, Gaugler JE, Gitlin LN.   +7 more
europepmc   +1 more source

Paving the Way to Elucidate Hg's Role in Tumorigenesis

Advanced Science, EarlyView.
Tumorigenesis can result from diverse environmental carcinogens. Among them, mercury—a lifelong bioaccumulative Group 2B carcinogen—has tumorigenic potential that remains poorly understood due to confounding co‐exposures and limited organ‐specific data.
Shouying Li, Rong Zhong, Zhenyang Yu, Hualing Fu, Jin Chen, Jia Wei, Ningwei Zhao, Le Qu, Tiantian Li, Wenli Tang, Huan Zhong   +10 more
wiley   +1 more source

[Book Review of] \u3cem\u3eWhy\u3c/em\u3e Humanae Vitae \u3cem\u3eWas Right: A Reader\u3c/em\u3e, Edited by Janet E. Smith [PDF]

, 1995
Flaman, Paul
core   +1 more source

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

SKOOTS: Skeleton‐Oriented Object Segmentation for Mitochondria in High‐Resolution Cochlear EM Datasets

Advanced Science, EarlyView.
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka, Richard T. Osgood, Hidetomi Nitta, Artur A. Indzhykulian   +3 more
wiley   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Jing Huang, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

Euthanasia: A Soft Paradigm for Medical Ethics [PDF]

, 1978
McIntyre, Russell L.
core   +1 more source

The Personalist Basis of the Church's Teaching on Human Sexuality and the Natural Law in the Work of John Paul II. Part I. [PDF]

Linacre Q
Fedoryka M.
europepmc   +1 more source

Review of \u3ci\u3eSigning and Belonging in Nepal\u3c/i\u3e by Erika Hoffmann-Dilloway [PDF]

, 2017
Hofer, Theresia
core   +1 more source