Results 141 to 150 of about 53,540 (244)

Local and systemic effects caused by Crotalus durissus terrificus, Crotalus durissus collilineatus, and Crotalus durissus cascavella snake venoms in swiss mice

Revista da Sociedade Brasileira de Medicina Tropical
INTRODUCTION: Crotalus envenomations cause serious complications and can be fatal without appropriate treatment. Venom isoforms present and inter/intraspecific variations in the venom composition can result in different symptoms presented by bites by ...
Letícia Helena de Carvalho, Leda Fabiélen Teixeira, Kayena Delaix Zaqueo, Jéssica Felix Bastos, Neriane Monteiro Nery, Sulamita Silva Setúbal, Adriana Silva Pontes, Diana Butzke, Walter Cavalcante, Marcia Gallacci, Carla Freire Celedônio Fernandes, Rodrigo Guerino Stabeli, Andreimar Martins Soares, Juliana Pavan Zuliani   +13 more
doaj   +1 more source

Comparative Effectiveness of Hwangryunhaedok-tang Pharmacopuncture, Essential Bee Venom Pharmacopuncture and Jungsongouhyul Pharmacopuncture for Cervical Pain caused by Traffic Accidents: A Retrospective Observational Study

, 2018
Young‐Jun Kim, Tae-Ryeong Kim, Chang‐Hoon Woo, Byung‐Cheul Shin   +3 more
openalex   +2 more sources

Extracellular Vesicles from Bothrops jararaca Venom Are Diverse in Structure and Protein Composition and Interact with Mammalian Cells [PDF]

, 2022
Larissa Gonçalves Machado, Brunno Renato Farias Verçoza, Fábio César Sousa Nogueira, Rafael D. Melani, Gilberto B. Domont, Silas P. Rodrigues, Juliany Cola Fernandes Rodrigues, Russolina B. Zingali   +7 more
openalex   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

Snake venomics and antivenomics of Middle and South America rattlesnakes.Identification of neurotoxin crotoxin as an adaptive trait during Crotalus Durissus invasion of South America [PDF]

, 2009
Comunicaciones a ...
Alape-Girón, Alberto, Calvete, Juan J., Escolano, José, Flores-Díaz, Marietta, Gutiérrez, J.M., Sanz, Libia, Sasa, Mahmood   +6 more
core  

Graph Attention Neural Networks for Interpretable and Generalizable Prediction of Janus III–Vi Van Der Waals Heterostructures

Advanced Intelligent Discovery, EarlyView.
A crystal graph neural network based on the attention mechanism is proposed in this work. The model dynamically weights features through the attention mechanism, enabling precise prediction of properties of material from structural features. Here, taking Janus III–VI van der Waals heterostructures as a representative case, the properties have been ...
Yudong Shi, Zhao Zheng, Yinggan Zhang, Zhou Cui, Peng Lin, Cuilian Wen, Baisheng Sa, Zhimei Sun   +7 more
wiley   +1 more source

Study of visceral antinociceptive potential of bee Apis mellifera venom [PDF]

, 2014
FB Costa Marcus, Rosemary Adriana, PV Abdon Ana, P Vasconcelos Renata, A Castro Carolina, Marcos Hikari Toyama, SA Monteiro Helena, MC Martins Alice   +7 more
openalex   +1 more source

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

BIOCHEMICAL CHARACTERIZATION OF THE VENOM OF THE SOCIAL WASP Agelaia pallipes pallipes (HYMENOPTERA - VESPIDAE)

, 1997
Helena Costa
openalex   +1 more source