A5016201995- COVID-19 epidemiological studies
- SARS-CoV-2 detection and testing
- Social Sciences and Policies
- Matrix Theory and Algorithms
- SARS-CoV-2 and COVID-19 Research
- Advanced Numerical Methods in Computational Mathematics
- Crime, Illicit Activities, and Governance
- Advanced Control Systems Optimization
- Latin American Literature Studies
- Neural Networks and Applications
- Inflammatory mediators and NSAID effects
- Process Optimization and Integration
- Food, Nutrition, and Cultural Practices
- History and Politics in Latin America
- Extremum Seeking Control Systems
- Youth Culture and Social Dynamics
- Electromagnetic Simulation and Numerical Methods
- Numerical methods in engineering
- Religion and Society in Latin America
- Long-Term Effects of COVID-19
- Agricultural and Food Production Studies
- COVID-19 and healthcare impacts
- Vibrio bacteria research studies
- Social Issues and Policies in Latin America
- Educational Practices and Policies
Purdue University West Lafayette
2023-2024
Universidad de Costa Rica
2007-2023
Universidad del Atlántico
2019
Instituto Nacional de Cancerología
2017
Background: An advanced age elevates risk for COVID-19-related cardiovascular complications and mortality. This study analyzes comorbidities outcomes in hospitalized COVID-19 patients across groups to assess its impact. Methods: The CARDIO COVID 19-20 registry is a prospective, multicenter cohort of SARS-CoV-2 44 institutions 14 Latin American countries. Patients were categorized into four groups, Group 1: under 40 years, 2: 64 3: 65 79 4: 80 years or older. Results: A total 3260 included....
ABSTRACT Deployment of clinical testing on a massive scale was an essential control measure for curtailing the burden severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and magnitude COVID-19 (coronavirus disease 2019) pandemic during its waves. As progressed, new preventive surveillance mechanisms emerged. Implementation vaccine programs, wastewater (WW) surveillance, at-home antigen tests reduced demand mass SARS-CoV-2 testing. Unfortunately, reductions in test...
Trends in COVID-19 infection have changed throughout the pandemic due to myriad factors, including changes transmission driven by social behavior, vaccine development and uptake, mutations virus genome, public health policies. Mass testing was an essential control measure for curtailing burden of monitoring magnitude during its multiple phases. However, as progressed, new preventive surveillance mechanisms emerged. Implementing programs, wastewater (WW) surveillance, at-home tests reduced...
Abstract In 2022, the US Centers for Disease Control and Prevention commissioned National Academies of Sciences, Engineering, Medicine to assess role community-level wastewater-based disease surveillance (WDS) beyond COVID-19. WDS is recognized as a promising mechanism promptly identifying infectious diseases, including COVID-19 other novel pathogens. An important conclusion drawn from this initiative that it crucial maintain equity expand access maximize advantages marginalized communities....
In 2022, the US Centers for Disease Control and Prevention commissioned National Academies of Sciences, Engineering, Medicine to assess role community-level wastewater-based epidemiology (WBE) beyond COVID-19. WBE is recognized as a promising mechanism promptly identifying infectious diseases, including COVID-19 other novel pathogens. An important conclusion from this initiative critical importance maintaining equity expanding access fully realize benefits wastewater surveillance...
The discretization of the deep Ritz method [18] for Poisson equation leads to a high-dimensional non-convex minimization problem, that is difficult and expensive solve numerically. In this paper, we consider shallow approximation one-dimensional diffusion problems introduce an effective efficient iterative method, damped block Newton (dBN) solving resulting problem. employs Gauss-Seidel as outer iteration by dividing parameters neural network into linear (the weights bias output layer)...
This paper expands the damped block Newton (dBN) method introduced recently in [4] for 1D diffusion-reaction equations and least-squares data fitting problems. To determine linear parameters (the weights bias of output layer) neural network (NN), dBN requires solving systems involving mass matrix. While matrix local hat basis functions is tri-diagonal well-conditioned, NNs dense ill-conditioned. For example, condition number NN quasi-uniform meshes at least ${\cal O}(n^4)$. We present a...
El Trabajo Social latinoamericano es una profesión que muestra marcada y constante tendencia a radicalizarse hacia laizquierda política. presente trabajo analiza el desarrollo histórico de este proceso partir los aportes teóricos Helio Gallardo, centrando la atención en sus alcances, limitaciones, así como las deformaciones ideológicas resultantes delparticular vínculo universidades suelen establecer con luchas populares.
Abstract Introduction: Silencing of the human cytochrome P450 (CYP) monooxygenase enzyme CYP3A4 in ER+ MCF-7 tumor cell line inhibits growth mammary fat pad, but relative roles intrinsic CYPs vs. vascular/microenvironment remain to be determined and a syngeneic animal model is needed answer this question. The SSM2ucd ovarian dependent mouse carcinoma forms transplantable estrogen-receptor positive (ER+) which dependence on may tested vitro vivo. derived from 129SvJ: homozygous Stat1-null...
This paper presents the application of a dynamic model for Elliot 100 kW microturbine operating in city Barranquilla, Colombia under partial load conditions from validation carried out implemented Polytechnic Turin, Italy, with different conditions, which mathematical is developed by selecting elements that most frequently affect dynamics gas (MTG) through information order to obtain semi-physical models phenomenological base. can be used study applications non-linear control systems on...