Results 121 to 130 of about 32,629 (304)

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
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, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

EXPERIENCE OF SNAKE BITE CASES IN HAZARA DIVISION, KP, PAKISTAN

Gomal Journal of Medical Sciences, 2017
Background: Snake bite is one of the important public health problems. The objective of the study was to assess the demographic and clinical features of snake bite patients.
Abdul Rauf, Adnan ., Saqib Malik, Haider Zaman, Saima Gilani   +4 more
doaj  

A polygeneric immunogen composed of 22 venoms from sub-Saharan African snakes to expand the neutralization scope of the EchiTAb-plus-ICP antivenom

Toxicon: X
Recent research suggests that a polygeneric immunogen made from the venoms of the most medically important viperid and elapid snakes in sub-Saharan Africa could elicit a broader antibody response in horses compared to the current EchiTAb-plus-ICP ...
Andrés Sánchez, Gina Durán, Maykel Cerdas, Jairo Gutiérrez, Álvaro Segura, María Herrera, Mariángela Vargas, Adriana Sánchez, Paola Sánchez, Gabriela Solano, Mauren Villalta, Edwin Moscoso, Deibid Umaña, Mauricio Arguedas, Aarón Gómez, José María Gutiérrez, Guillermo León   +16 more
doaj   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
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, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Variability in venom composition of European viper subspecies limits the cross-effectiveness of antivenoms [PDF]

, 2018
Duregotti, Elisa, Giampreti, Andrea, Locatelli, Carlo Alessandro, Lonati, Davide, Pirazzini, Marco, Rossetto, Ornella, Zanetti, Giulia   +6 more
core   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
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, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Comparative Analysis of the Enzymatic, Coagulant, and Neuromuscular Activities of Two Variants of Crotalus durissus ruruima Venom and Antivenom Efficacy

Pharmaceuticals
Background: We compared the enzymatic, coagulant, and neuromuscular activities of two variants (yellow—CDRy and white—CDRw) of Crotalus durissus ruruima venom with a sample of C. d.
Poliana J. Demico, Isabele N. Oliveira, Vitória S. Proença-Hirata, Samuel R. Dias, Hugo A. Ghirotti, Elisangela O. Silva, Inês C. Giometti, Francis L. Pacagnelli, Kristian A. Torres-Bonilla, Stephen Hyslop, Nathália C. Galizio, Karen de Morais-Zani, Manuela B. Pucca, Anderson M. Rocha, Jéssica B. Maciel, Marco A. Sartim, Wuelton M. Monteiro, Rafael S. Floriano   +17 more
doaj   +1 more source

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

Advanced Intelligent Systems, EarlyView.
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley   +1 more source

An Intelligent Feature Engineering‐Driven Hybrid Framework for Adversarial Domain Name System Tunneling Detection

Advanced Intelligent Systems, EarlyView.
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, Shtwai Alsubai, Monji Mohamed Zaidi, Natalia Kryvinska, Abdullah Al Hejaili, Sidra Abbas   +5 more
wiley   +1 more source