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Predicting peptide structures in native proteins from physical simulations of fragments.
It has long been proposed that much of the information encoding how a protein folds is contained locally in the peptide chain. Here we present a large-scale simulation study designed to examine the extent to which conformations of peptide fragments…
Position: 1242 (74 views)
Predicting in-Hospital Mortality of Patients with COVID-19 Using Machine Learning Techniques
The present work aims to identify the predictors of COVID-19 in-hospital mortality testing a set of Machine Learning Techniques (MLTs), comparing their ability to predict the outcome of interest. The model with the best performance will be used to…
Position: 20622 (16 views)
Predicting COVID-19 Peaks Around the World
The official data for the time evolution of active cases of COVID-19 pandemics around the world are available online. For all countries, a peak has been either observed (China and South Korea) or is expected in the near future. The approximate dates…
Position: 2206 (63 views)
Predicting bacterial resistance from whole-genome sequences using k-mers and stability selection
Abstract Background Several studies demonstrated the feasibility of predicting bacterial antibiotic resistance phenotypes from whole-genome sequences, the prediction process usually amounting to detecting the presence of genes involved in antibiotic…
Position: 13426 (31 views)
Predicting and analyzing the COVID-19 epidemic in China: Based on SEIRD, LSTM and GWR models.
In December 2019, the novel coronavirus pneumonia (COVID-19) occurred in Wuhan, Hubei Province, China. The epidemic quickly broke out and spread throughout the country. Now it becomes a pandemic that affects the whole world. In this study, three…
Position: 11145 (34 views)
Predicted impacts of government policies and actions on the SARS-CoV-2 disease in the northwestern Himalayan region, India.
The outbreak of the new coronavirus pandemic (SARS-CoV-2) was initiated in December 2019, and within a couple of months it became a global health emergency. Given the importance to assess the evolution and transmissibility of SARS-CoV-2 and to…
Position: 18590 (24 views)
Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study
Abstract Background The global spread of the severe acute respiratory syndrome (SARS) epidemic has clearly shown the importance of considering the long-range transportation networks in the understanding of emerging diseases outbreaks. The…
Position: 15012 (29 views)
Predicciones del crecimiento en poblaciones de pino laricio (Pinus nigra Arn. ssp. salzmannii) bajo diferentes escenarios futuros de cambio climático
La disminución de las precipitaciones y el incremento de la temperatura registrados en las últimas décadas, junto con el aumento de la probabilidad de ocurrencia de eventos extremos de sequía, hacen muy probable una mayor vulnerabilidad de las…
Position: 886 (81 views)
Predicción del estado nutricional mediante variables antropométricas y de seguridad alimentaria en el hogar de un grupo de embarazadas de Caracas, Venezuela Prediction of the nutritional status by anthropometrical variables and food safety at homes of pregnant women from Caracas, Venezuela
Objetivo: Evaluar el estado nutricional y el nivel de Seguridad Alimentaria en el Hogar de una muestra de embarazadas aparentemente sanas en la Maternidad Concepción Palacios de Caracas, Venezuela e identificar las variables que pudieran predecir el…
Position: 3275 (55 views)
Predicción de radiación solar en sistemas fotovoltaicos utilizando técnicas de aprendizaje automático
La estimación de la radiación solar es fundamental para quienes participan en la planificación de granjas de energía solar, ya sean aisladas o conectadas a las redes de distribución eléctrica. Esto para el aprovechamiento de las fuentes de energía…
Position: 7434 (40 views)