A5084947546- Distributed and Parallel Computing Systems
- Cloud Computing and Resource Management
- Scientific Computing and Data Management
- Mobile Health and mHealth Applications
- COVID-19 and Mental Health
- Software Engineering Techniques and Practices
- Dengue and Mosquito Control Research
- COVID-19 diagnosis using AI
- Data Quality and Management
- Open Education and E-Learning
- Algorithms and Data Compression
- Disaster Response and Management
- Health Education and Validation
- Satellite Image Processing and Photogrammetry
- Context-Aware Activity Recognition Systems
- Blockchain Technology Applications and Security
- ICT in Developing Communities
- Stochastic Gradient Optimization Techniques
- Mosquito-borne diseases and control
- Advanced Malware Detection Techniques
- Water Quality Monitoring Technologies
- Breastfeeding Practices and Influences
- Agricultural Economics and Practices
- Cloud Data Security Solutions
- Disaster Management and Resilience
Universidade Tecnológica Federal do Paraná
2011-2024
Florida College
2024
University of Florida
2024
Universidade de São Paulo
2017-2018
This study investigates the evolving landscape of nursing informatics by conducting a follow-up survey initiated International Medical Informatics Association (IMIA) Students and Emerging Professionals (SEP) Nursing (NI) group in 2015 2019. The participants were asked to describe what they thought should be done their institutions countries advance next 5-10 years. For this paper, responses English acquired December 2023 analysed using inductive content analysis. Identified needs covered a)...
Cloud computing provides infrastructure for executing workflows that require high processing and storage capacity. Although there are several algorithms scheduling workflows, few consider security criterion. Algorithms cover usually optimize either cost or makespan. However, cases where the user would like to choose evaluate among different solutions present a trade-off between monetary execution time (makespan) of workflow. The selection tasks, which involve confidential/sensitive data, has...
Scheduling is an important topic to support data security for workflow execution in clouds. Some scheduling algorithms use services such as authentication, integrity verification, and encryption all tasks. However, applying no sensitive does not make sense benefit gained, yet it increases the makespan monetary costs. In this paper, we introduce five policies selection of tasks that handle data. We also propose a algorithm based on multi-populational genetic minimizing cost while meeting...
Workflow scheduling algorithms for cloud environments are extensively studied using workflow management system simulators. The common criteria covered by and addressed in simulators makespan, monetary cost, reliability, energy consumption. Beyond these criteria, security is also a criterion has been investigated recently. Scientific business workflows typically handle sensitive big data that can influence the makespan cost significantly when algorithm applies services to data. However,...
Mediante a grande exigência do mercado por inovação, produtividade, qualidade e desempenho dos sistemas computacionais, criaram-se as metodologias de desenvolvimento software. A partir uso uma metodologia software é possível reduzir o custo, risco tempo um projeto e, ainda, aumentar produto final. Este artigo realiza comparação entre duas desenvolvimento: Rational Unified Process Extreme Programming. realizada mostra principais semelhanças contrastes abordagens, destacando comentando suas...
With the sudden global shift to online learning modalities, this study aimed understand unique challenges and experiences of emergency remote teaching (ERT) in nursing education. We conducted a comprehensive international cross-sectional survey capture current state firsthand ERT discipline. Our analytical methods included combination traditional statistical analysis, advanced natural language processing techniques, latent Dirichlet allocation using Python, thorough qualitative assessment...
Objetivo: Este estudo investiga os aplicativos móveis para apoiar cuidados saúde materno-infantil por meio de um mapeamento sistemático. Método: A busca foi realizada nas lojas Google Play e App Store, incluindo desenvolvidos entre anos 2010-2023. Resultados: O resultou em 1.082 selecionados, quais envolvem pré-natal, parto, puerpério, com o recém-nascido bebê. Os apresentam orientações, preenchimento dados, jogos simulados pais profissionais saúde. Conclusão: Estima-se que a união das...
Workflow scheduling is crucial for QoS requirements to be met in grids and clouds. Scheduling algorithms may consider one or more criteria constraints, including makespan, deadline, cost, budget, reliability, energy consumption security. Although the literature reports some surveys on workflow algorithms, no bibliometric review of such topic has been conducted. This paper addresses a analysis clouds evolution publications according restrictions met, authors articles most cited, journals...
Science Gateways have been widely accepted as an important tool in academic research, due to their flexibility, simple use and extension. However, such systems may yield performance traps that delay work progress cause waste of resources or generation poor scientific results. This paper addresses investigation on some the failures a Galaxy system analyses impacts. The case is based protein structure prediction experiments performed. A novel science gateway component proposed towards...
This article presents a mobile application model for the treatment tracking of in-hospital wounds.A survey literature on apps wound monitoring was carried out. Health professionals were interviewed and forms analyzed to synthesize application's fields features. We designed using prototyping tool.The prototype features interfaces patient evaluation, different functionalities according role health professional, dashboard open admissions, selection locations body model, prescribing, wounds...
Software development methodologies were created to meet the great market demand for innovation, productivity, quality and performance. With use of a methodology, it is possible reduce cost, risk, time, even increase final product. This article compares two these methodologies: Rational Unified Process Extreme Programming. The comparison shows main differences similarities between approaches, highlights comments some their predominant features.
The digital image processing has been used on many research segments as an instrument for pattern recognition and filtering. However, depending the size filtering type, response time can take forever. In this context, work shows a parallel selective model of algorithm. Two selection three estimation policies are proposed in conjunction with basic idea is to select pixels that will be processed reduce execution even if there acceptable loss quality. results confirm advantages where...