Academic Articles & Research Papers

Doenças do sistema nervoso central em caprinos e ovinos no semi-árido Diseases of the central nervous system in goats and sheep of the semiarid

O conhecimento das doenças dos animais domésticos, nas diferentes regiões do Brasil é importante para determinar formas eficientes de profilaxia e controle. Este trabalho tem como objetivo descrever a epidemiologia, sinais clínicos e patolo...

Fascioliasis, revisión clínico-epidemiológica y diagnóstico

La fascioliasis es una infección parasitaria causada por trematodos del género Fasciola, y la especie más frecuente es Fasciola hepatica, la cual se encuentra distribuida en todos los continentes e infecta a gran cantidad de mamíferos, incl...

Astrophysics Source Code Library

The Astrophysics Source Code Library (ASCL), founded in 1999, is a free on-line registry for source codes of interest to astronomers and astrophysicists. The library is housed on the discussion forum for Astronomy Picture of the Day (APOD) ...

Oscilaciones de Potencia, Tensión y Corriente en Unidades de Generación Distribuida; Power, Voltage and Current Oscillations in Distributed Generation Units

En las plantas de generación distribuidas accionadas por motores reciprocantes es necesario conocer las fluctuaciones de tensión, corriente y potencia para evaluar la calidad de la energía que entregan estos grupos electrógenos y como crite...

Guiding the Self-Organization of Cyber-Physical Systems

Self-organization offers a promising approach for designing adaptive systems. Given the inherent complexity of most cyber-physical systems, adaptivity is desired, as predictability is limited. Here I summarize different concepts and approac...

Video-based communication assessment for weight management counseling training in medical residents: a mixed methods study

Abstract Background Physician delivered weight management counseling (WMC) occurs infrequently and physicians report lack of training and poor self-efficacy. The purpose of this study was to develop and test the Video-based Communication As...

Ensino de saneamento do meio nas escolas de saúde pública Teaching environmental sanitation in schools of public health

Após a última guerra mundial, e especialmente nesta década, em decorrência do crescimento demográfico e do desenvolvimento industrial, a par de migração da população rural em direção aos conglomerados urbanos, aumentaram os problemas relaci...

Efetividade de exercícios de estabilização segmentar sobre a dor lombar crônica mecânico-postural

INTRODUÇÃO: A prevalência ao longo da vida de lombalgias mecânico-posturais é estimada em 60-70% em países industrializados. Um dos principais fatores para dor lombar é a instabilidade segmentar, e para manter a estabilidade é necessária a ...

Genetics of breast cancer: Applications to the Mexican population

Breast cancer research has yielded several important results including the strong susceptibility genes,BRCA1 and BRCA2 and more recently 19 genes and genetic loci that confer a more moderate risk.The pace of discovery is accelerating as gen...

Recuperação Completa de Doente com Carcinoma da Próstata Estádio IV Durante a Pandemia COVID-19

A doença causada pelo coronavírus (COVID-19), inicialmente descrita em Wuhan, China, foi recentemente declarada pela Organização Mundial da Saúde (OMS) como uma pandemia global. A idade avançada e a presença de comorbilidades, característic...

Effects of Lactobacillus crispatus-Containing Probiotics and Metformin on Insulin Resistance, Inflammation, and Gut Microbiome in Polycystic Ovary Syndrome: Protocol for an Open-Label Randomized Controlled Trial.

Performance Benchmarking: Pre-trained Models and Custom Convolutional Neural Networks in Deep Learning

Recent advances in computer vision and deep learning, particularly Convolutional Neural Networks (CNNs), have significantly increased road safety. CNNs were used in this work to automatically detect and categorise traffic signs—a crucial ta...

Computer vision applications in vascular surgery: From preoperative mapping to intraoperative flow assessment

Artificial intelligence (AI) and computer vision (CV) are increasingly applied in vascular surgery for preoperative mapping and intraoperative flow/perfusion assessment, with potential to enhance safety and efficiency. However, the extent o...

Automatic building detection and land use classification in urban areas using multispectral high-spatial resolution imagery and LiDAR data

Urban areas areimportant environments, accounting for approximately half the population of theworld. Cities attract residents partly because they offer ample opportunitiesfor development, which often results in urban sprawl and its complex ...

Improving farm productivity and profitability through AI diffusion: evidence from Punjab, Pakistan.

Deep-learning–based non-contrast CT for detecting acute ischemic stroke: a systematic review and HSROC meta-analysis of patient-level diagnostic accuracy

Abstract Background Non-contrast CT (NCCT) is first-line imaging for suspected acute ischemic stroke (AIS) but has limited early sensitivity; deep learning (DL) may improve patient-level detection. Objectives To estimate the diagnostic accu...

Prediction of Seven Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Medium-Long Caucasian Eyes

Purpose: To compare the accuracy of seven artificial intelligence (AI)-based intraocular lens (IOL) power calculation formulas in medium-long Caucasian eyes regarding the root-mean-square absolute error (RMSAE), the median absolute error (M...

Artificial intelligence assisted 3D in the robotic urooncology? A systematic review and narrative synthesis of current applications, challenges and future directions

Background: Artificial intelligence (AI)-assisted three-dimensional (3D) surgical platforms, integrated with augmented reality, have the potential to improve intraoperative anatomical recognition and provide surgeons with an immersive, dyna...

Tachyon: Enhancing stacked models using Bayesian optimization for intrusion detection using different sampling approaches

The integration of sensors in the monitoring of essential bodily measurements, air quality, and energy consumption in buildings demonstrates the importance of the Internet of Things (IoT) in everyday life. These security breaches are caused...