A5009948440- Greenhouse Technology and Climate Control
- Hearing, Cochlea, Tinnitus, Genetics
- Evolutionary Algorithms and Applications
- Iterative Learning Control Systems
- Smart Agriculture and AI
- Diabetic Foot Ulcer Assessment and Management
- Pregnancy and preeclampsia studies
- Building Energy and Comfort Optimization
- Non-Invasive Vital Sign Monitoring
- Wound Healing and Treatments
- Vestibular and auditory disorders
- Advanced Numerical Analysis Techniques
- Nuclear Physics and Applications
- Robotic Mechanisms and Dynamics
- Medicinal Plant Extracts Effects
- Psidium guajava Extracts and Applications
- Plant Water Relations and Carbon Dynamics
- Neural Networks and Applications
- Birth, Development, and Health
- 3D Printing in Biomedical Research
- Competitive and Knowledge Intelligence
- Food Science and Nutritional Studies
- Advanced Image Processing Techniques
- Eicosanoids and Hypertension Pharmacology
- Date Palm Research Studies
Universidad Autónoma de Zacatecas "Francisco García Salinas"
2011-2024
University of San Carlos of Guatemala
2015-2023
Consejo Nacional de Humanidades, Ciencias y Tecnologías
2020-2021
Kyung Hee University
2015-2020
CentraleSupélec
2013
Universidad Politécnica de Zacatecas
2012
Autonomous University of Queretaro
2005-2010
A large part of the biomedical research spectrum is dedicated to develop electrocardiogram (ECG) signal processing techniques contribute early diagnosis. However, it common find that ECG analysis methods reported are confined off-line PC host operation. The authors present an arrhythmia classification method implemented on a Digital Signal Processing (DSP) platform intended for on-line, real-time ambulatory operation classify eight heartbeat conditions: normal sinus rhythm (N), auricular...
Abstract One of the main problems in greenhouse crop production is presence pests. Detection and classification insects are priorities integrated pest management (IPM). This document describes a machine vision system able to detect whiteflies ( Bemisia tabaci Genn.) by sensing their using hunting traps. The extracted features corresponding eccentricity area projections allow establish differences among pests other on both trap surfaces dust generated artefacts. Because geometrical...
Sensorineural hearing loss (SNHL) is one of the most common causes disability, affecting over 466 million people worldwide. However, prevention or therapy SNHL has not been widely studied. Avocado oil shown many health benefits but it yet studied in regards to SNHL. Therefore, we aimed investigate efficacy avocado on vitro and vivo elucidate its mode action. For present study, used enhanced functional extract (DKB122). DKB122 led recovery otic hair cells zebrafish after neomycin-induced cell...
Background: Preeclampsia, a pregnancy disorder characterized by hypertension and proteinuria, represents the leading cause of fetal maternal morbidity mortality in developing countries. The identification novel accurate biomarkers that are predictive preeclampsia is necessary to improve prognosis patients with preeclampsia.Objective: To evaluate value 34 angiogenic-related proteins.Methods: We performed nested cohort case-control study pregnant women. profile proteins was evaluated at 12,...
20(S)-Protopanaxadiol 20-O-D-glucopyranoside, also called compound K (CK), exerts antidiabetic effects that are mediated by insulin secretion through adenosine triphosphate (ATP)-sensitive potassium (KATP) channels in pancreatic β-cells. However, the of CK may be limited because its low bioavailability.In this study, we aimed to enhance activity and lower toxicity including it with β-cyclodextrin (CD) (CD-CK), determine whether CD-CK enhanced islet recovery, compared alone, an...
Preeclampsia, a pregnancy disorder characterized by hypertension and proteinuria, represents the leading cause of fetal maternal morbidity mortality in developing countries. The identification novel accurate biomarkers that are predictive preeclampsia is necessary to improve prognosis patients with preeclampsia.The objective this study evaluate usefulness nine urinary metalloproteinases predict risk development.MMP-1, MMP-2, MMP-3, MMP-7, MMP-8, MMP-9, MMP-10, MMP-12 MMP-13 were analyzed...
The remote monitoring of vital signs and healthcare provision has become an urgent necessity due to the impact COVID-19 pandemic on world. Blood oxygen level, heart rate, body temperature data are crucial for managing disease ensuring timely medical care. This study proposes a low-cost wearable device employing non-contact sensors monitor, process, visualize critical variables, focusing measurement as key health indicator. developed offers non-invasive continuous method gather wrist forehead...
This work explores the prediction of daily Global Horizontal Irradiance (GHI) patterns in region Zacatecas, Mexico, using a diverse range predictive models, encompassing traditional regressors and advanced neural networks like Evolutionary Neural Architecture Search (ENAS), Convolutional Networks (CNN), Recurrent (RNN), Meta’s Prophet. addressing notable gap regional research, aims to democratize access accurate solar radiation forecasting methodologies. The evaluations carried out time...
Diabetes mellitus (DM) is a metabolic disease that involves disorders such as diabetic retinopathy, neuropathy, and hearing loss. Recently, neurotrophin has become treatment target shown to be an attractive alternative in recovering auditory function altered by DM. The aim of this study was evaluate the effect DA9801, mixture Dioscorea nipponica japonica extracts, damage produced STZ-induced model provide evidence mechanisms involved enhancing these protective effects. We found potential...