Results 181 to 190 of about 835,450 (267)

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

Advanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi, Di Tang, Johan Malmström, Yasaman Karami, Hamed Khakzad   +4 more
wiley   +1 more source

LLMs Can Fuel Extremist Attitudes Using Universal Moral Framings. [PDF]

Ann N Y Acad Sci
Hendricks RC, Gil-Buitrago H, Pretus C.
europepmc   +1 more source

Rapid Steam‐Assisted Temperature Swing Adsorption for Direct Air Capture Using a Rotary Adsorber

Advanced Science, EarlyView.
This study presents a direct air capture (DAC) device based on a steam‐regeneration rotary adsorber for high‐purity CO2. Testing of the prototype demonstrates its capability for continuous and stable carbon capture with the potential to achieve ton‐scale.
Junye Wu, Yunhao Chen, Kuihua Wang, Yingjie Huo, Yanlin Chen, Quanwen Pan, Tianshu Ge   +6 more
wiley   +1 more source

Operating characteristics of agreement metrics in AI-based scoring: a Monte Carlo simulation. [PDF]

Front Psychol
Yandi A.
europepmc   +1 more source

A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data

Advanced Science, EarlyView.
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang, Xuedong Wang, Mengyao Wang, Qian Zhou, Lusheng Wang, Shuai Cheng Li   +5 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Advanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen, Jingrui Zhong, Xiaochun Zhang, Jingke Chen, Lin Guo, Xiaoliang Xiong, Xiaonan Zhang, Xiangyu Liu, Bailong Xiao, Boxue Tian   +9 more
wiley   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Review: Insight on Porous Carbon Positive Electrode for Sodium‐Ion Capacitors: Interplay Between Synthesis, Properties, and Performance

Advanced Science, EarlyView.
Sodium ion capacitor (SIC) is currently constrained by the low discharge capacity of commercial activated carbon as positive electrode material. This review provides a holistic summary of research efforts on alternative porous carbon materials for SIC. Image created by the authors with www.biorender.com.
Ademola Adeniji, Adrian Beda, Camélia Matei Ghimbeu   +2 more
wiley   +1 more source

Scalable Electrochemical Concrete Fabrication and Closed‐Loop Recycling

Advanced Science, EarlyView.
The electrochemical‐driven recycling strategy establishes a reversible concrete material flow by extracting Ca, Si, Al, and Fe from concrete waste and regenerating functional feedstocks. These reversed products are reassembled into new concrete, which re‐enters service and ultimately returns to waste, enabling a closed‐loop, waste‐origin, and low ...
Hanxiong Lyu, Zhenlin Li, Yang Liu, Lu Zhu, Lucen Hao, Mingxin Shi, Shipeng Zhang, Chi Sun Poon   +7 more
wiley   +1 more source