Results 121 to 130 of about 23,074 (307)
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Rapid Identification of Phospholipase A2 Transcripts from Snake Venoms
Phospholipase A2 (PLA2) is a major component in snake venoms and it is found in many different isoforms. To identify transcripts encoding different PLA2 isoforms, we developed a simple, rapid procedure.
Mendez, Bianca +9 more
core +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
On the Ability of Bismuth to Couple Weakly Coordinating Anions
Motivated by the growing number of catalytic processes based on high‐valent Bi, we investigated in silico the reductive elimination step responsible for the coupling of weakly coordinating anions. Relativistic contributions appeared to be decisive to the electronic description of the intermediates involved in this process.
Lucas Mele +3 more
wiley +2 more sources
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
Cyclopentadienes (CpHs) are fundamental building blocks with widespread applications in chemistry. However, their inherent acidity and isomeric instability have long limited access to chiral variants in an asymmetric fashion. Here, we introduce a CuH‐catalyzed asymmetric transformation that provides an unprecedented entry into a new class of ...
Piero Soppelsa +4 more
wiley +2 more sources
Editorial: Venom peptides: A rich combinatorial library for drug development, volume II
Denis Servent +3 more
doaj +1 more source
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source
Rationally designed DNA multivalent aptamers direct specific protein binding to drive self‐assembly into protein‐DNA frameworks (PDFs). Structurally defined protein‐aptamer interfaces organize proteins into triangles, linear and ladderlike chains, and periodic two‐dimensional arrays, enabling precise control over orientation, connectivity, and overall ...
Zhe Zhang +11 more
wiley +2 more sources

