Results 161 to 170 of about 8,948,996 (287)

Further psychometric evaluation of the Swedish version of the Interdisciplinary Education Perception Scale (IEPS) using Rasch analysis. [PDF]

BMC Med Educ
von Wallenberg Pachaly S, Öster C, Ramklint M, Lindberg MH.   +3 more
europepmc   +1 more source

Decoupling Stable Cyclic Deformation From Defect Accumulation in Metals

Advanced Science, EarlyView.
Introducing amorphous nanoparticles into a metal matrix enables a cyclic deformation regime where strain hardening and defect accumulation are decoupled. These nanoparticles act as dislocation sinks and undergo reversible shear transformations, sustaining microstructural stability over millions of cycles.
Chenjun Ye, Shaofan Ge, Tian Yang, Leyi Tang, Kang Wang, Y. Morris Wang, Jun Ding, Zan Li, Di Zhang, En (Evan) Ma   +9 more
wiley   +1 more source

Acinar‐Derived Organoids Reveal Stage‐Specific Control of Acinar Plasticity

Advanced Science, EarlyView.
An acinar‐derived organoid system maintains adult pancreatic acinar identity ex vivo, converts it along an ordered acinar‐to‐ductal‐like trajectory, and then partially restores it. Each transition carries its own signal requirement, with EGF/EGFR initiating conversion and a staged glucocorticoid–IGF1R switch driving redifferentiation.
Yongfei Hou, Siyu Li, Chunying Li, Zhifan Lin, Dan He, Li Yang, Liping Fu, Qianyue Zhang, Tianping Zhou, Yao Yao, Xiaolei Yin   +10 more
wiley   +1 more source

Leveraging Interdisciplinary Education Toward Securing the Future of Connected Health Research in Europe: Qualitative Study. [PDF]

J Med Internet Res, 2019
Chouvarda I, Mountford N, Trajkovik V, Loncar-Turukalo T, Cusack T.   +4 more
europepmc   +1 more source

Polyphosphate Copper Nanospheres Drive Mitochondrial Metabolic Reprogramming via Calcium Phase Separation for Self‐Sensitizing Cuproptosis

Advanced Science, EarlyView.
This study developed polyphosphate (polyP)‐based nanostructures that enable calcium‐mediated metabolic reprogramming via liquid–liquid phase separation (LLPS). Released polyP undergoes LLPS with Ca2+, suppressing glycolytic flux and enhancing mitochondrial metabolism effectively.
Jing Wang, Xinyang Zhao, Zifeng Huang, Jingyi Zhang, Yucheng Tao, Yong Huang, Zijian Guo, Lei Dong, Xiuxiu Wang, Jing Zhao, Wei Wei   +10 more
wiley   +1 more source

Pennsylvania Consortium For Interdisciplinary Environmental Policy

The Pennsylvania Consortium for Interdisciplinary Environmental Policy stresses the need for a "forum for collaboration on environmental policy and education." This site features an organization comprised of environmental policy makers and ...

core   +1 more source

Flooding‐Driven Greenhouse Gas Emissions From Global Upland Croplands

Advanced Science, EarlyView.
Temporary flooding of upland croplands releases nitrous oxide, carbon dioxide, and methane. Field measurements combined with a global literature synthesis yield a global estimate of 63.3 teragrams of carbon dioxide equivalent per year for diffusive emissions from flooded upland croplands.
Shuilian Bi, Zhifeng Yan, Zhengkui Ge, Si‐Liang Li, Guirui Yu, Cong‐Qiang Liu, Hanqin Tian, Pete Smith   +7 more
wiley   +1 more source

The Impact of Interdisciplinary Education on Skills and Attitudes of Surgery and Emergency Medicine Residents. [PDF]

Surg J (N Y), 2019
Kunac A, King NA, Ostrovsky I, Rytzarev D, Merchant AM, Murano T.   +5 more
europepmc   +1 more source

Multiscale Interfacial Engineering Enables Robust Reconstituted Wood

Advanced Science, EarlyView.
Conventional adhesives used in wood composites create heterogeneous interfaces that cause stress concentration under humid or aqueous conditions, thereby compromising long‐term stability. A synergistic strategy integrating interfacial reconstruction and water‐induced regeneration transforms heterogeneous interfaces into homogeneous ones with ...
Huizheng Wu, Yi Kong, Liangxian Liu, Yuyan Jiang, Jiahuan He, Haiyu Li, Ming Wei, Dexiu Min, Jian Li, Yanjun Xie, Chi Zhang, Shaoliang Xiao   +11 more
wiley   +1 more source

An Explainable Multimodal Deep‐Learning Model Using Histopathological Image and Clinical Information for Prognosis Prediction in Colorectal Cancer: A Multi‐Center Cohort Study

Advanced Science, EarlyView.
This study develops a multimodal deep‐learning model that integrates clinical variables and histopathological images to predict survival outcomes in colorectal cancer. The multimodal model effectively stratifies patients into low‐ and high‐risk groups, demonstrating superior accuracy and generalizability across multiple independent cohorts.
Zhihan Jiang, Xiangchao Shi, Chenghan Su, Yao Ma, Rui Li, Menglei Chen, Jianxin Cui, Nicholas Hawkins, Robyn Ward, Xiangzhi Bai, Jitendra Jonnagaddala, Wei Fu, Xin Zhou   +12 more
wiley   +1 more source