Results 71 to 80 of about 1,883,240 (283)

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data

Advanced Science, EarlyView.
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge, Feifan Zhang, Yijiang Liu, Chao Jiang, Peng Gao, Nguan Soon Tan, Sai Zhang, Yuchen Shen, Qianyi Zhou, Xin Zhou, Xiao Wang, Fangqing Zhao, Chuchu Wang, Xiaotao Shen   +13 more
wiley   +1 more source

Examining the claims of Google Scholar as a serious information source [PDF]

, 2006
Since its introduction in mid 2004 the Google Scholar search engine has been the subject of considerable interest within the library community and has been the subject of both excitement and criticism.
White, Bruce
core   +1 more source

Anti-Plagiarism Tools: Scirus v. Google [PDF]

, 2005
This project is an extension of an earlier research project in which the Google search engine was tested as a tool for detecting plagiarism in online master’s theses.
McCullough, Mark, Holmberg, Melissa
core  

Aspirin‐Derived Salicyl‐CoA Drives Histone Lysine Salicylation Regulated by CBP and SIRT2

Advanced Science, EarlyView.
Aspirin‐derived salicyl‐CoA serves as a previously unrecognized acyl donor for protein lysine salicylation. This study identifies histone lysine salicylation as a reversible epigenetic modification regulated by CBP and SIRT2, expanding the biochemical actions of aspirin beyond its canonical acetylation‐dependent mechanisms and providing a new framework
Facai Zhang, Chuanzan Zhou, Jiaoyan He, Pengpeng Huang, Rong Zhang, Huan Hu, Meng Jiao, Linyi Hu, Feng Liu, Xiaolong Qi, Xiang He, Yunkai Yang, Y Eugene Chinn, Dechao Feng, Dahong Zhang, Qi Zhang   +15 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Experimentally Determined Spatiotemporal Charge Carrier Dynamics for the Development of Particulate Photocatalysts

Advanced Energy Materials, EarlyView.
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley   +1 more source

Detecção de queimadas agrícolas no Estado do Acre através do GEE e QGis

Biodiversidade Brasileira, 2019
Este estudo visou testar quatro classificadores supervisonados para mapeamento de cicatrizes de queimadas agropecuárias, avaliando a razão tempo-qualidade acuracia.
Sonaira Souza da Silva, Francisco Salatiel Clemente de Souza, Philip M. Feanrside, Tiago Lucena da Silva   +3 more
doaj   +3 more sources

Google Scholar Citations and Google Web/URL Citations: A Multi-Discipline Exploratory Analysis [PDF]

, 2006
In this paper we introduce a new data gathering method “Web/URL Citation” and use it and Google Scholar as a basis to compare traditional and Web-based citation patterns across multiple disciplines.
Kousha, Kayvan, Thelwall, Mike
core   +1 more source

Three options for citation tracking: Google Scholar, Scopus and Web of Science [PDF]

, 2006
Background: Researchers turn to citation tracking to find the most influential articles for a particular topic, and to see how often their own published papers are cited.
Bakkalbasi, Nisa, Ferrara, Gabriele, Bauer, Kathleen, Wang, Lei, Glover, Janis, Ferrara, G.   +5 more
core   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source