Results 61 to 70 of about 13,926 (236)

Prognostic value of MET gene copy number and protein expression in patients with surgically resected non-small cell lung cancer: a meta-analysis of published literatures. [PDF]

PLoS ONE, 2014
BACKGROUND: The prognostic value of the copy number (GCN) and protein expression of the mesenchymal-epithelial transition (MET) gene for survival of patients with non-small cell lung cancer (NSCLC) remains controversial.
Baoping Guo, Hong Cen, Xiaohong Tan, Wenjian Liu, Qing Ke   +4 more
doaj   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Synthesis of Doped g‐C3N4 Photonic Crystals for Enhanced Light‐Driven Hydrogen Production from Catalytic Water‐Splitting

Advanced Energy & Sustainability Research
Dopants are frequently used to improve graphitic carbon nitride (gCN) photoactivity. As a doping source, phosphomolybdic acid (PMA) can activate doping sites inside the gCN lattice, resulting in 2D Mo:P‐gCN porous material.
Simon Y. Djoko T., Sunil Kwon, Prasenjit Das, Vincent Weigelt, Warisha Tahir, Babu Radhakrishnan, Klaus Schwarzburg, Arne Thomas, Michael Schwarze, Reinhard Schomäcker   +9 more
doaj   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

The performance of ChatGPT and other large language models on multiple‐choice questions in biomedical disciplines: A meta‐analysis

Anatomical Sciences Education, EarlyView.
Abstract While large language models (LLMs) have shown promise as learning tools for medical education, their reported accuracy on multiple‐choice questions (MCQs) varies widely across studies, necessitating synthesis. This meta‐analysis synthesizes LLM accuracy on text‐based MCQs from biomedical disciplines and USMLE Step 1‐level content and explores ...
Colleen M. Cheverko, Volodymyr Mavrych, Olena Bolgova, Fathima Raahima Riyas Mohamed, Jennifer Westrick, Lorena Juarez, Emily Rush, Kathryn A. Solka, Alison F. Doubleday, Jessica N. Byram, Robert Becker, Victoria Gomez, Brenda K. Anak Ganeng, Leslie A. Hoffman, Victoria A. Roach, Kirsten M. Brown, Nicole DeVaul, Colleen N. Garnett, Hannah L. Herriott, Rebecca S. Lufler, Jason C. Mussell, Joy Y. Balta, Michael A. Pascoe, Jason W. Middleton, Sharon Duffy, Georgina C. Stephens, Adam B. Wilson   +26 more
wiley   +1 more source

The Strategic Role of Sustainability Certifications: A Multi‐Theoretical Framework and Comparative Analysis in the Global Wine Industry

Business Strategy and the Environment, EarlyView.
ABSTRACT Sustainability certifications are increasingly embedded in the governance and competitiveness of the wine sector, yet their strategic role remains under‐theorised. This study conceptualises certifications as multidimensional strategic mechanisms and conducts a comparative analysis of 50 schemes used in the global wine industry.
Alexy Apolo‐Romero, Nieves García‐Casarejos, Pilar Gargallo   +2 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

A Graph‐Based Generative Artificial Intelligence Methodology for Autocorrection of Utility‐System P&IDs

Chemie Ingenieur Technik, EarlyView.
This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn, Dominik P. Goldstein, Niels Seijsener, Kevin Dao, Ge H. M. Driessen, Artur M. Schweidtmann   +5 more
wiley   +1 more source

Detecting health misinformation: A comparative analysis of machine learning and graph convolutional networks in classification tasks

MethodsX
In the digital age, the proliferation of health-related information online has heightened the risk of misinformation, posing substantial threats to public well-being.
Bharti Khemani, Shruti Patil, Ketan Kotecha, Deepali Vora   +3 more
doaj   +1 more source