Results 91 to 100 of about 99,673 (240)

A Strain Decoupling Packaging Strategy for High‐Fidelity Ultrathin Silicon Shape Sensors for Soft Medical Robotics

Advanced Science, EarlyView.
Reliable soft sensors are essential for precise control in soft medical robots such as endoscopes. We developed ultrathin silicon piezoresistive sensors and their oil‐lubricated slidable packaging, which enables high‐fidelity shape sensing of silicon gauges by mechanically isolating the sensing element within a dual‐layer film.
Hao Liu, Masahito Takakuwa, Michitaka Yamamoto, Yiwen Wang, Tomoyuki Yokota, Takao Someya, Toshihiro Itoh, Seiichi Takamatsu   +7 more
wiley   +1 more source

Quantitative Stain Mapping in X‐Ray Virtual Histology

Advanced Science, EarlyView.
Virtual histology promises 3D tissue examination without physical sectioning, yet has lacked the tissue‐specificity of conventional pathology. This work demonstrates the first quantitative three‐dimensional stain mapping at histologically relevant resolution, separating contrast agent from tissue to reveal cellular features such as nuclei. The approach
Dominik John, David M. Paganin, Marie‐Christine Zdora, Lisa Marie Petzold, Patrick Ilg, Junan Chen, Sara Baggio, Johannes B. Thalhammer, Sami Wirtensohn, Julian Moosmann, Jörg U. Hammel, Felix Beckmann, Samantha J. Alloo, Jannis N. Ahlers, Madleen Busse, Julia Herzen, Kaye S. Morgan   +16 more
wiley   +1 more source

A Training Model for Urban Railway Transit Disciplines Postgraduate Based on Real-Problem-Driven Approach

Chengshi guidao jiaotong yanjiu
［Objective］ As an important part of urban transportation, the urban rail transit system is closely related to people′s travel and urban development.
HUANG Shize, SUN Zhang, ZHANG Yi, XIAO Junhua, ZOU Liang, WU Dan   +5 more
doaj   +1 more source

Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors

Advanced Science, EarlyView.
A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos, Gustavo Felizardo Santos Sandes, Artur Christian Garcia da Silva, Holli‐Joi Martin, Eugene N. Muratov, Rodolpho de Campos Braga, Bruno Junior Neves   +6 more
wiley   +1 more source

Specifics and Stages of Reforms of the Russian Postgraduate School

Высшее образование в России
The article analyzes the key regulatory documents of the Russian postgraduate school since its creation in 1925, characterizes the features of the organization of Russian and Soviet postgraduate studies, identifies historical parallels and patterns ...
E. V. Pilyugina
doaj   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

Multimodal AI‐Driven Identification of Dehydrocostus Lactone as a Potent Renal Fibrosis Attenuator Targeting IQGAP1

Advanced Science, EarlyView.
Renal fibrosis, a hallmark of CKD, lacks effective treatments. Herein, we developed a multimodal AI model (TCM‐SPred) to identify anti‐fibrotic agents and found that dehydrocostus lactone (DCL) targets IQGAP1 to inhibit Wnt signaling, blocking the interaction between IQGAP1 and CCT3, demonstrating potent anti‐fibrotic activity in vitro and in vivo ...
Weijiang Lin, Wenzhuo Xu, Kang Liu, Ping Wang, Zhenzhen Zhu, Wenyu Lu, Zhe Zheng, Xiaoqian Peng, Xunkai Yin, Shulan Mei, An Pan, Jian Liu, Lihong Hu   +12 more
wiley   +1 more source

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Factors influencing medical students' decisions to remain at their alma mater for postgraduate clinical training: A cross-sectional study in Japan.

PLoS ONE
BackgroundDespite structured postgraduate clinical training programs in Japan, a considerable number of medical graduates have recently preferred community hospitals to university hospitals for postgraduate clinical training.
Keiko Hamatsu, Miwa Sekine, Koshi Kataoka, Yasuhiko Kiyama, David Aune, Yuji Nishizaki   +5 more
doaj   +1 more source

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

Advanced Science, EarlyView.
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou, Chengchun Liu, Dongxiao Zhang, Yuntian Chen, Fanyang Mo   +4 more
wiley   +1 more source