Results 61 to 70 of about 1,345,961 (305)

Survey on the clinical trial results achieved in Brazil comparing praziquantel and oxamniquine in the treatment of mansoni schistosomiasis

Revista do Instituto de Medicina Tropical de São Paulo, 1985
A random, double-blind, parallel group clinical trial program was carried out to compare praziquantel, a recently developed anti-helmintic drug, and oxamniquine, an already established agent for treating mansoni schistosomiasis.
Getúlio Leonel de Rezende
doaj   +1 more source

A 2020 vision for food, agriculture, and the environment in Latin America.: [PDF]

This is a thoughtful statement representing a genuine Latin American perspective of the goals and strategies relating to food, agriculture, and the environment as we head toward the year 2020. This document represents a synthesis of documents prepared by
Garrett, James L.
core  

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

Scalable Access to N‑Acylindole Linkages: Enabling the Synthesis of Antitrypanosomal Noncanonical Cyclic Peptides for Chagas Disease

Angewandte Chemie, EarlyView.
A gram‐scale supply of bulbiferamide A, which features a rare N‐acylindole linkage and possesses potent inhibitory activity against Trypanosoma cruzi epimastigotes (IC50 = 4.1 µM)—the causative parasite of Chagas disease—was successfully achieved. Moreover, the cyclization strategy developed in this study facilitated the synthesis of noncanonical ...
Jie Zhang, Hugh Nakamura
wiley   +2 more sources

WHEN DID LATIN AMERICA FALL BEHIND?.EVIDENCE FROM LONG-RUN INTERNATIONAL INEQUALITY [PDF]

When did Latin America fall behind?. Has the gap between developed countries and Latin America widened over time?. This paper addresses these recurrent questions with the tools provided by the inequality literature.
Leandro Prados de la Escosura
core  

When did Latin America fall behind? : evidence from long-run international inequality [PDF]

, 2004
When did Latin America fall behind?. Has the gap between developed countries and Latin America widened over time?. This paper addresses these recurrent questions with the tools provided by the inequality literature.
Prados de la Escosura, Leandro
core   +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

Trade Realignments and the Need for Integrated Modeling Research in Latin America's Agri‐Food Sector

Agribusiness, EarlyView.
Emiliano Lopez Barrera
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source