Results 131 to 140 of about 284,247 (326)

Next‐Generation Piezoelectric Materials in Wearable and Implantable Devices for Continuous Physiological Monitoring

Advanced Science, EarlyView.
An analysis of literature trends and a historical overview of organic and inorganic piezoelectric materials, focusing on their structural diversity, functional mechanisms, and inherent characteristics. It then explores cutting‐edge developments in material synthesis, fabrication processes, and performance optimization, highlighting their applicability ...
Bangul Khan, Umay Amara, Bilawal Khan, Wasim Ullah Khan, Rafi u Shan Ahmad, Muhammad Shehzad Khan, Mohamed Elhousseini Hilal, Bee Luan Khoo   +7 more
wiley   +1 more source

IPGCA: A Comprehensive Single Cell Atlas of 1 074 127 Porcine Intestinal Cells Revealing Cellular Dynamics, Genetic Regulation, and Cross‐Species Conservation

Advanced Science, EarlyView.
A high resolution integrated cell atlas of the pig intestine provides insights into the genetic mechanisms of complex traits (Created in BioRender. Yu, P. (2025) https://BioRender.com/o14c563) Abstract The porcine intestinal tract is vital for nutrient absorption, immune regulation, and various physiological processes.
Pengfei Yu, Qinqin Xie, Xiaodian Cai, Zhanming Zhong, Ran Wei, He Han, Shuang Liu, Zhenyang Zhang, Lingyao Xu, Zitao Chen, Zhe Zhang, Qishan Wang, Yuchun Pan, Zhen Wang, Zhe Zhang   +14 more
wiley   +1 more source

SCORCH2: A Generalized Heterogeneous Consensus Model for High‐Enrichment Interaction‐Based Virtual Screening

Advanced Science, EarlyView.
Researchers developed SCORCH2, an advanced machine‐learning scoring function for virtual screening that combines two complementary XGBoost models to re‐evaluate protein‐ligand binding plausibility. The method demonstrates superior performance on standard benchmarks, shows excellent generalization to previously unseen protein targets, and provides ...
Lin Chen, Vincent Blay, Pedro J. Ballester, Douglas R. Houston   +3 more
wiley   +1 more source

RiboMicrobe: An Integrated Translatome Atlas for Microorganism

Advanced Science, EarlyView.
RiboMicrobe is a comprehensive database for Ribo‐seq data from prokaryotes, featuring 891 Ribo‐seq, 369 RNA‐seq, and 62 proteome datasets from 38 species. The database not only provides various data visualization results but also includes two sORF prediction models and a suit of bioinformatics tools for comparative analysis, facilitating easy access ...
Yingshun Zhou, Jinjing Luo, Xiaoqiang Lang, Yuli Gan, Guoxian Liu, Yuling Cui, Fazhi Li, Weicong Zhu, Bing Chen, Yuanyuan Dong, Yinglin Wu, Yi Cao, Qi Liu   +12 more
wiley   +1 more source

Magnetized Cell‐Scaffold Constructs for Bone Tissue Engineering: Advances in Fabrication and Magnetic Stimulation

Advanced Science, EarlyView.
This review highlights the synthesis and applications of magnetized cells (MCs) and magnetized scaffolds (MSs) in advancing bone tissue engineering strategies. It further demonstrates how magnetic particles (MPs) improve scaffold properties and how external magnetic fields enhance mesenchymal stem cell adhesion, proliferation, and osteogenic ...
Elio Cinar SanSegundo, Mohammad J. Mirzaali, Lidy E. Fratila‐Apachitei, Amir A. Zadpoor   +3 more
wiley   +1 more source

Unveiling Novel Viral Diversity, Biogeography, and Host Networks in Wildlife Through High‐Throughput Sequencing Data Mining

Advanced Science, EarlyView.
Analysis of 57 536 high‐throughput sequencing datasets uncovers a vast, hidden world of viruses in wildlife. The researchers reveal significant geographic and host‐specific patterns of viruses, and their surprising cross‐species transmissions, such as avian flu viruses infecting goats.
Hai Wang, Yafei Meng, Xiaoyuan Chen, Xinyuan Cui, Qian Zuo, Na Han, Xianghui Liang, Xuejuan Shen, Caiwu Li, Desheng Li, Fumin Wang, Liangping He, Rujian Chen, Xingbang Lu, Wenjie You, Aiping Wu, Rui‐Ai Chen, Wu Chen, Chan Ding, Yongyi Shen   +19 more
wiley   +1 more source

Knowledge Graph for Methane Selective Conversion: Revisiting and Predicting Product Selectivity and Methane Conversion

Advanced Science, EarlyView.
With the help of large language models, deep neural network learning, and kinetic calculation, a knowledge graph prediction of prior research in methane conversion is conducted. This knowledge graph provides a comprehensive understanding of the relationships among catalyst materials, catalytic performance, and reaction conditions, providing guidance ...
Boyu Xu, Gaoyang Li, Bohan Wang, Jiawei Bian, Hui Pan, Yulin Min, Guodong Qi, Jun Xu, Feng Deng, Feng Ju, Hao Ling, Zhendong Wang   +11 more
wiley   +1 more source

MSProfileR: An Open-Source Software for Quality Control of Matrix-Assisted Laser Desorption Ionization–Time of Flight Spectra

Informatics
In the early 2000s, matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) emerged as a performant and relevant tool for identifying micro-organisms.
Refka Ben Hamouda, Bertrand Estellon, Khalil Himet, Aimen Cherif, Hugo Marthinet, Jean-Marie Loreau, Gaëtan Texier, Samuel Granjeaud, Lionel Almeras   +8 more
doaj   +1 more source

Current Developments and Challenges in the Field of Biohybrid Neural Interfaces—A Scoping Review

Advanced Electronic Materials, EarlyView.
This scoping review explores recent advancements and persistent challenges in biohybrid neural interfaces, which integrate living cells with electronic devices to improve neural communication and implant biocompatibility. The article highlights key innovations, methodological diversity, and translational barriers, providing a comprehensive synthesis ...
Yi‐Lin Yu, Jameel Muzaffar, Veronica Philips, Yun‐Ju Yang, Damiano Giuseppe Barone, George G. Malliaras, Manohar Bance   +6 more
wiley   +1 more source

Spin Matters: A Multidisciplinary Roadmap to Understanding Spin Effects in Oxygen Evolution Reaction During Water Electrolysis

Advanced Energy Materials, EarlyView.
This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne, Priscila Vensaus, Vadim Ratovskii, Seenivasan Hariharan, Jan Behrends, Cesare Franchini, Jonas Fransson, Sarnjeet S. Dhesi, Felix Gunkel, Florian Gossing, Georgios Katsoukis, Ulrike I. Kramm, Magalí Lingenfelder, Qianqian Lan, Yury V. Kolen'ko, Yang Li, Ramsundar Rani Mohan, Jeffrey McCord, Lingmei Ni, Eva Pavarini, Rossitza Pentcheva, David H. Waldeck, Michael Verhage, Anke Yu, Zhichuan J. Xu, Piero Torelli, Silvia Mauri, Narcis Avarvari, Anja Bieberle‐Hütter, Christoph Baeumer   +29 more
wiley   +1 more source