bluuebunny/crossref_metadata_2025 huggingface dataset:
Intercultural Engagement Through Short-Term Faculty-Led Study Abroad: A Practitioner’s Guide with Multidisciplinary Perspectives from a Public University
Authors: Ananth Priya , Chaney James , Eschenfelder Christine C. , Ghazal Rehab (Rubie) , Goldberg Nancy Sloan , Graham Stacey , Johnston Tony V. , Lim Seok Jeng Jane , Morgan Joseph E. , Nozu Mako , Reed Karen Nourse , Sokoya Sesan Kim , Summers Robert , Wade Lee Miller
Published: August 2023

The main objective of this edited volume is to offer pedagogically sound and creative ways of integrating elements of intercultural competence into class activities, tasks, and assignments in short-term faculty-led study abroad programs. The intercultural competencies, categorized in the areas of knowledge, skills, and attitudes, include characteristics such as awareness about self and other cultures, creative thinking, problem-solving, empathy, tolerance towards ambiguity, and withholding judgment, to name a few. By purposefully embedding these characteristics in their course activities, faculty leaders can better assist their students in deepening intercultural and global competencies. These competencies prepare the students for a changing global work environment and help them manage a more diverse workforce at home. This book is arranged into three sections. Section I provides the basic framework to understand short-term faculty-led study abroad programs from a theoretical as well as administrative perspectives. Section II showcases 11 contributions from faculty leaders who share program details demonstrating how intercultural competencies were strategically incorporated into the activities, tasks, and assignments of their study abroad curricula. Section III presents the conclusions with recommendations for faculty and administrators to plan and design short-term faculty-led study abroad programs. This book will contribute uniquely to the field by providing theoretically driven model courses from a broad spectrum of disciplines. The major goal of this book is to encourage the creation of new short-term faculty-led study abroad programs at the university level as well as empower current faculty leaders to strengthen or adapt their programs. The book will interest a broad readership of multidisciplinary study abroad educators, including faculty leaders, faculty leaders-in-training, faculty scholars, and administrators.
Endocarditis infecciosa asociada a marcapasos: Reporte de caso pediátrico
Authors: Polo Calle Sara Lorena , Rubio Ramírez Adriana Evelyn , Peña Cordero Susana Janeth , Polo Calle Benigno Enrique , Polo Calle Víctor Patricio
Published: August 2023

La endocarditis infecciosa es una afección en la que bacterias o hongos infectan el tejido o las válvulas cardíacas, resultando en daño cardíaco. Aunque es rara, con una incidencia de 0.26% en niños, su mortalidad es alta y se asocia a menudo con problemas cardíacos congénitos y dispositivos implantables. Un caso ilustrativo es el de un niño de 5 años con un marcapasos, que presentó fiebre alta resistente al tratamiento con antibióticos. Un ecocardiograma reveló lesiones sospechosas de ser vegetaciones infecciosas. A pesar del tratamiento, las lesiones no disminuyeron, lo que llevó a una intervención quirúrgica para retirar el electrodo del marcapasos. Además, se identificó una infección fúngica, que requirió tratamiento adicional. La pronta identificación y tratamiento, incluida la cirugía, son cruciales, aunque conllevan riesgos significativos.
Uso del bronceado artificial como factor de riesgo para el melanoma maligno
Authors: Ramírez Macas Ronald Leonardo , Espinoza Cárdenas Rolando
Published: August 2023

En la actualidad, en muchos países occidentales una piel bronceada es deseable estéticamente, por lo que, se han desarrollado técnicas artificiales para lograr este efecto mediante la utilización de cámaras de bronceado. Sin embargo, exponer excesivamente la piel a los rayos ultravioleta provoca quemaduras que pueden desarrollar melanomas cutáneos. Analizar la incidencia del bronceado artificial en la salud mediante una revisión bibliográfica para conocer la relación con el Melanoma cutáneo. En este estudio se realizó una revisión bibliográfica y documental sobre las cámaras de bronceado y su incidencia en la aparición de melanoma cutáneo que afectan la salud de las personas. Para ello, se utilizaron las palabras claves: artificial tanning, melanoma, malignant y cutaneous para luego de un proceso de sistematización seleccionar 35 artículos. El riesgo de melanoma cutáneo incrementa en un 75% cuando las cámaras de bronceado son implementadas a corta edad se pudo concluir que el uso de las cámaras de bronceados por razones estéticas representa un riesgo para la salud de las personas. Además, se determinó que existen pocos países que regulan el bronceado artificial como un factor de riesgo para la salud de la población. Finalmente, en el caso del Ecuador no se pudo determinar una relación directa entre el uso del bronceado artificial y el melanoma cutáneo, debido a que no existen estudios clínicos y estadísticos que evalúen esta problemática.
Análisis de asociatividad del ROA entre los sectores Explotación y Empacamiento, de la industria camaronera en el Ecuador
Authors: Quintanilla Gavilanes Aníbal , Chagerben Salinas Lenin Ernesto , Hernández Díaz Helio Renán
Published: August 2023

En el presente estudio investigativo se presente abordar la temática acerca la eficiencia de sus recursos mediante el rendimiento financiero dentro del contexto de la industria camaronera en dos segmentos diferentes como la explotación y el empacamiento ambos integrantes de la cadena de valores de esta industria; el principal propósito del estudio consiste en demostrar si existe una relación entre ambos sectores tomando en cuenta la variable ROA (Rendimiento sobre activos), misma que está compuesta por sus dimensiones rotación de activos y margen neto, para aquello se seleccionó una muestra 488 empresas que perteneces a los sectores y se procedió a calcular indicadores de rentabilidad para que mediante un análisis descriptivo, inferencial y correlacional se puede validar si existe algún grado de relación entre los segmentos, se validó la normalidad y homogeneidad de los datos dando como resultado que no son normales y que la medio de los rendimientos entre los sectores son distintas, en relación a la correlación se observa la existencia de correlación en relación a las variables independiente Rotación de Activos, Margen Neto, por lo tanto se concluye que si se asocian las dimensiones de la variables ROA sin embargo el rendimiento medio entre ambas variables son significativamente diferentes.
Hipertensión arterial refractaria al tratamiento. Definiciones y manejo actualizado
Authors: Reyes Espinoza Adriana Estefanía , Bueno Castro Andrés Santiago
Published: August 2023

La hipertensión resistente se define como una tensión Arterial (TA) por encima de la meta recomendada después de tomar tres fármacos antihipertensivos con acciones sinérgicas a las dosis máximas recomendadas toleradas, preferiblemente incluyendo un diurético, durante al menos 6 meses, o al usar cuatro o más fármacos antihipertensivos incluso si la TA está controlada. Identificar la Hipertensión Arterial Refractaria al tratamiento, definiciones y manejo actualizado. Se realizó una recopilación de información de artículos de alto impacto sobre la hipertensión arterial refractaria al tratamiento según bases de datos como Medline, Scopus, Lilacs, Scielo, Science Direct, PUB MED, Cochrane, desde el año 2018 hasta el año 2023. Esta revisión bibliográfica permitió un análisis detallado de la Hipertensión Arterial Refractaria al tratamiento, identificando definiciones actualizadas, profundizando en su fisiopatología y estableciendo pautas para su manejo. Se resalta la necesidad de futuras investigaciones que aporten mayor evidencia científica y contribuyan a una mejor comprensión y abordaje clínico de esta condición. La información obtenida a través de este estudio puede ser de gran relevancia para mejorar la calidad de vida de los pacientes afectados y reducir la carga de enfermedad asociada a la Hipertensión Arterial Refractaria.
Using GIS to Determine Wind Harvesting Potential to Help Offset Boulder County's Yearly Energy Usage to Become a More Sustainable County
Authors:   , Coventry Pete
Published: August 2023

This project focuses on Boulder County, Colorado as a case study to demonstrate how a Geographic Information System (GIS) can identify potential wind harvesting areas. A step by step demonstration will illustrate the steps needed to determine such harvesting areas and their wind potential. Once potential wind harvesting areas have been identified, concluding analysis will determine the amount of energy generated in efforts to offset current energy use. Harvesting wind has dated back to the 7th century and is looked at as a mature technology (Edwards 2003). Over the past few decades, public attitudes towards wind harvesting is becoming increasingly popular in efforts to become more sustainable. Boulder County's unique terrain and complex weather patterns creates a challenging case study to determine optimum locations to harvest wind. The results of this analysis will help to determine whether harvesting wind energy will in fact help offset the County's energy needs in efforts to becoming a more sustainable county.
Customs and tax aspects of the economic integration of Ukraine into the EU
Authors: Ivanov Yuriy , Tyshchenko Viktoriia , Naidenko Oleksii
Published: August 2023

The economic integration of Ukraine primarily involves the implementation of the measures of the Association Agreement with the EU, which covers various sectors. The key sectors of the Association Agreement include Customs Matters and Trade Facilitation as well as Taxation. The aim of the article was to study the impact of customs and taxation aspects on the integration processes of Ukraine and the EU in the context of globalization processes in the economy. The tasks set in the study are solved using scientific methods of analysis and synthesis, historical and chronological, statistical, economic and graphical methods as well as the abstract-logical method. The genesis of the implementation of the activities of the Association Agreement with the EU in the sectors of Customs Matters and Taxation are examined. The problematic aspects of the implementation of the integration of Ukraine with the EU are summarized. The state of foreign economic activities is analysed and it is noted that the Association Agreement has had a positive impact on the volume of foreign economic activities, but has not resulted in a positive foreign trade balance. It is noted that customs payments account for the largest part of the revenues of the consolidated budget of Ukraine and that the main share of budget revenues is value added tax. The structure of exports and imports (by commodity and country) is analysed and it is noted that Ukraine is gradually moving away from the production of engineering products and focusing its efforts on the agro-industrial sector. The sectors of the Association Agreement that negatively affect the processes of customs and tax regulation are identified and ways to resolve problematic issues are proposed. The practical significance of the results obtained lies in the generalization of measures for the implementation of the Association Agreement by Ukraine, the identification of existing problems, and the development of proposals for their solution
Difteria: atualização das orientações de prevenção e controle
Authors: Silva Marcela Rodrigues , Liphaus Bernadete , Yu Ana Lúcia Frugis , Bokermann Sergio , Carvalhanas Telma R.M.P.
Published: August 2023

Não se aplica.
EDUKASI PENTINGNYA SADARI (PEMERIKSAAN PAYUDARA SENDIRI) DAN SADANIS (PEMERIKSAAN PAYUDARA KLINIS) UNTUK DETEKSI DINI KANKER PAYUDARA
Authors: Maghfiroh Ainul , Jati Riani Pradara , Ayuningtyas Fitri
Published: August 2023

Deteksi dini Kanker payudara salah satunya yaitu dilakukan dengan penerapan SADARI (pemeriksaan payudara sendiri) yang dilakukan secara mandiri dan pemeriksaan payudara klinis yang dilakukan oleh tenaga kesehatan, Pencegahan kanker saat ini memainkan peran kunci dalam perang melawan penyakit. Modifikasi perilaku, serta kesadaran yang lebih besar di kalangan wanita tentang kanker payudara dapat berkontribusi secara signifikan dalam mengurangi kejadian kanker payudara.penyebab tingginya kejadian kanker di Indonesia adalah kondisi lingkungan yang terus menghasilkan zat penyebab kanker dan gaya hidup yang kurang sehat. Pengabdian masyarakat dilakukan kepada remaja putri di Sekolah Menengah Kejuruan Kelas XII, peserta dalam pengabdian masyarakat berjumlah 35 siswa dengan metode pengabdian masyarakat yaitu diskusi, demonstrasi dan tanya jawab, seluruh peserta pengabdian dapat mempraktekan pemeriksaan payudara sendiri dengan benar. pengabdian masyarakat ini penting dilakukan untuk mengurangi kejadian  keparahan  akibat kanker payudara.
A 〖(2n+9)〗^thDegree Polynomial Approximation Method for Solving Eight Order Linear Boundary Value Problems
Authors: Mutawakilu Ibrahim , Bello Nakone , Aminu Mustafa
Published: August 2023

Galerking method, Collocation method and least squired method have been used for solving boundary value problems (BVPs) and from practical point of view almost any success of above mention method depends on the selection of basis functions. Also, Adomain decomposition and variational iteration methods have been applied for the solution of BVPs and required respectively calculating the Adomian’s polynomials and Lagrange multipliers. In this paper a simple method of  Degree polynomial approximation solution were n is number of successive derivatives of the governing equation is suggested as an alternative of the above mentioned methods. The method consists of first obtaining from the governing equation its n successive derivatives and boundary conditions a linear differential system of  equations evaluated at the boundary points. Next, an approximate solution in the form of polynomial of degree  with  unknown coefficients   is assumed. To determine the unknown coefficients, the assumed solution is incorporate into the linear differential system which turns to be a linear system of equation with unknowns which is salvable uniquely. The method is tested for n=5 to four examples. It clear that from tables 3.1 to 3.4 and figures 3.1 to 3.4 the numerical outcomes agree with the exact solution and also better than some existing results in the literatures. it should be also noted that the accuracy of the method can be increased by  increased n.   All Numerical computation were performed using maple 2016 software.
Increasing transparency in indirect treatment comparisons: is selecting effect modifiers the missing part of the puzzle? A review of methodological approaches and critical considerations
Authors: Freitag Andreas , Gurskyte Laura , Sarri Grammati
Published: August 2023

Failure to adjust for effect modifiers (EMs) in indirect treatment comparisons (ITCs) can produce biased and uncertain effect estimates. This is particularly important for health technology assessments (HTAs), where the availability of new treatments is based on comparative effectiveness results. Much emphasis has been placed on advancing ITC methods to adjust for EMs, yet whether EMs are appropriately identified for the conduct of ITCs in the first place is unclear. To understand the extent of guidance and requirements for the selection of EMs for ITCs currently available and if and how this guidance is applied in practice, a series of pragmatic reviews of guidance documents from HTA and non-payer organizations, primary published ITC analyses, and prior HTA submissions in two indications (non-small cell lung cancer and psoriasis) was conducted. The reviews showed that current ITC guidance mainly focused on developing analytical methods to adjust for EMs. Some organizations, such as HTA bodies in the UK, France and Germany, recommended the use of literature reviews, expert opinion and statistical methods to identify EMs. No detailed guidance on the selection process or the appropriate literature review approach was found. Similar trends were identified through the database search and review of prior HTA submissions; only few published ITCs and submissions included information on the EM selection process which was either based on findings from the literature, trial subgroup analyses, or clinical input. No reference to a systematic selection approach was found.

There is an urgent need to fill the guidance gap identified across the reviews by including a step in ITC guidelines on how EMs should be identified through systematic reviews, formal expert elicitation, and a quantitative assessment of the EM distribution. Researchers and manufacturers are also encouraged to improve transparent reporting and justification of their selection of EMs to allow for an independent review of the set of factors being considered for adjustment. Both will contribute toward reducing bias in the ITC results and ultimately increase confidence in decision-making.
Integrating CUDA memory management mechanisms for domain decomposition of an acoustic wave kernel implemented in OpenMP
Authors: Freire Yuri Nicolau , Senger Hermes
Published: August 2023

OpenMP is a well-known tool for parallelizing code in a directive-based programming model. While it has been extended to include support for offloading for devices such as GPUs, multi-gpu programming using data map directives requires redundant data allocation and non-intuitive data synchronization. This paper studies an alternative implementation of a CUDA-OpenMP hybrid kernel using native Unified Virtual Addressing memory pointers in an OpenMP target kernel.
Exploring Simplicity and Efficiency: Regression-based Scheduling Heuristics in HPC
Authors: Rosa Lucas , Carastan-Santos Danilo , Goldman Alfredo
Published: August 2023

This research examines the interplay between resource management in high-performance computing systems and the application of machine learning techniques in developing scheduling heuristics. The potential for improved performance, through scheduling heuristics based on linear regression and polynomial job characteristics, was explored. Larger polynomials caused instability due to multicollinearity effects, but the simplest polynomial delivered stable and efficient scheduling performance. The study also evaluates the longterm resilience of these regression-based heuristics.
Classification of Tropical Disease-carrying Mosquitoes Using Deep Learning and SHAP
Authors: Fonseca Vinicius L. N. , Cunha Fagner , Andrade Larissa , Colonna Juan G. , Yong David De
Published: August 2023

In this paper, we present a novel technique for identifying mosquitoes that carry tropical diseases using Deep Learning and SHAP for model interpretability. We propose an end-to-end deep (E2E) Convolutional Neural Network (CNN) architecture that leverages mosquito wingbeat sounds to extract relevant features. To achieve high-performance audio processing, we integrate Kapre, an audio processing library optimized for GPU execution. Our approach also incorporates SHAP to provide a transparent explanation of the model’s predictions, enabling us to identify and characterize the time-frequency patterns that the model emphasizes. Ultimately, our research aims to support disease control initiatives by providing an automated means of identifying disease-carrying mosquito species, which has the potential to improve public health in tropical regions.
Aprendizado Profundo para Detecção de Cálculos Renais em Imagens de Tomografia Computadorizada
Authors: Lima Thiago , Catiely Camila , Sousa Vitoria , Veras Rodrigo , Araújo Flávio
Published: August 2023

A calcificação renal é uma doença comum, geralmente detectada pelos médicos especialistas em exames de tomografia computadorizada (TC). Contudo, a análise desse tipo de exames ainda é uma tarefa desafiadora, o que torna um trabalho repetitivo, fadigante e sujeito a erros. Neste contexto propomos um método para detecção de calcificações, na região renal, em imagens de TC, que pode facilitar a tomada de decisão do especialista. Para o desenvolvimento desse método foi utilizada uma base de imagens privada com 887 amostras provenientes de 20 exames de diferentes pacientes. As imagens foram segmentadas utilizando a Mask-RCNN e para etapa de detecção das calcificação, avaliamos quatro modelos YOLOv5 com diferentes tamanhos da imagem de entrada. O modelo que se destacou foi a YOLOv5n com tamanho de entrada 640×640, obtendo um mAP_50 de 0,89, precisão de 0,87 e recall de 0,85.
Metastasis Detection of Breast Cancer using Ensemble Deep Learning
Authors: Silva e Silva Danyllo Carlos , Cortes Omar Andres Carmona
Published: August 2023

Breast cancer is one of the diseases which mainly affects women and is responsible for most of the deaths in Brazil, followed by skin and lung cancer. Among the consequences of occurrence, there are genetic predisposition, sedentarism, and late menopause, for example. The metastatic stage of this illness has a low survival rate because the disease spreads from the breast to other parts of the body, and the patients need the diagnosis as fast as possible to start the treatment. Moreover, state-of-art works claim that pathologists can reach 0.72 AUC in analyzing an exam composed of thousands of histopathologic images of lymph node sections. In this context, this work presents an Ensemble Convolutional Neural Network with Transfer Learning, called U-net VGG19, for detection using the PatchCamelyon dataset. Results indicate that the proposal reached an AUC of 0.9565 and a loss of 0.2869, reaching better results than state-of-the-art CNNs such as VGG16, VGG19, MobileNetV3Large, ConcatNet, and a custom-made CNN.
Detecção automática de doenças da visão em imagens de reflexo vermelho utilizando Deep Features e Ensemble
Authors: Nunes Matheus Henrique A. , Almeida João Dallyson S. , Silva Italo Francyles S. da , Braz Júnior Geraldo
Published: August 2023

O Teste de Brückner, popularmente conhecido como o exame do reflexo vermelho, é um método simples e indolor de diagnóstico cujo objetivo é detectar patologias oculares. Observando o reflexo retiniano vermelho, com o auxílio de um equipamento chamado oftalmoscópio direto, é possível identificar características das estruturas internas do olho que podem indicar possíveis problemas de saúde ocular. Para identificar a presença de patologias em imagens de reflexo vermelho, essa metodologia utiliza descritores de características baseados em aprendizado profundo e classificadores. Os experimentos realizados utilizando a rede neural convolucional DeepLoc em conjunto com um ensemble dos classificadores Regressão Logística, Random Forest e SVM alcançaram uma acurácia de 93,20%, sensibilidade de 84,50% e especificidade de 93,20%.
Usando Dados de Sinais Vitais dos Cidadãos e a Técnica de Elasticidade para gerência de Hospitais no Contexto de Cidades Inteligentes
Authors: Fischer Gabriel Souto , Costa Cristiano André da , Righi Rodrigo da Rosa
Published: August 2023

A pandemia de COVID-19 agravou a superlotação hospitalar. Em cidades inteligentes, a saúde das pessoas pode ser monitorada em tempo real para detectar situações que exijam suporte médico. Neste contexto, propomos o modelo CityHealth, baseado no conceito de elasticidade em Cloud Computing, onde é possível adicionar, migrar ou remover recursos de acordo com a necessidade. Ele monitora o uso dos ambientes de saúde e adapta a capacidade de atendimento de acordo com a demanda. Através de uma abordagem preditiva, o CityHealth antecipa a sobrecarga de ambientes de saúde e propõe ações para movimentação dos recursos humanos e otimizar o atendimento. Utilizando dados de uma policlínica como base para emulação de uma cidade inteligente com dois hospitais resultou em redução de até 95,6% no tempo de espera.
Physio Games - Ambiente de Integração de Jogos Sérios para Reabilitação Física de Amputados
Authors: Mendes Douglas Aquino T. , Amaral Érico M. Hoff do , D. Júnior Julio Saraçol
Published: August 2023

As sessões de fisioterapia podem ser desmotivantes para os pacientes que sofreram amputação. Este trabalho visa aprimorar o sistema Tennis Physio, contemplando uma maior variação de jogos sérios que auxiliam na reabilitação fornecendo dados sobre o paciente tornando a avaliação menos subjetiva, e conduzindo o paciente ao estado de Flow com objetivo de melhorar os resultados das sessões. Para isso, foi desenvolvido um ambiente de simulação onde o paciente pode executar diferentes movimentos enquanto joga, as informações de movimento são capturadas por meio de um aplicativo mobile e enviadas a um nó sensor composto por um NodeMCU. Os dados capturados podem ser analisados posteriomente pelos fisioterapeutas por meio de um sistema de visualização. Alguns experimentos iniciais foram executados e a partir dos feedbacks, modificações foram propostas.
Predição de Congelamento de Marcha por Meio da Detecção de Eventos de Pré-Congelamento
Authors: Amoedo João Pedro A. , Gonçalves Paulo H. N. , Albuquerque Rafael , Santos Eulanda M. dos , Giusti Rafael , F. Junior Renato C.
Published: August 2023

Congelamento de marcha (FOG) é um sinal clínico debilitante comumente observado em pacientes com doença de Parkinson. Utilizando dados normalmente capturados por sensores inerciais, a predição automática do FOG pode ajudar a melhorar a qualidade de vida dos pacientes—e.g., evitando quedas. Dentre as estratégias aplicadas, destaca-se o uso de métodos de aprendizagem de máquina para resolver um problema de classificação em três classes: FOG, Não-FOG e Pré-FOG. A classe Pré-FOG refere-se a segmentos de série temporal imediatamente anterior à ocorrência de um evento de FOG. A expectativa é que instâncias de Pré-FOG apresentem características únicas que permitam identificar aspectos de um episódio iminente de FOG. No entanto, essa classe não é bem definida e nem bem caracterizada na literatura devido à sua natureza transicional. Neste artigo nós analisamos o comportamento da classe Pré-FOG usando dois modelos de aprendizagem de máquina, SVM e a combinação de CNN com LSTM, em dados coletados por acelerômetros e giroscópios. Os resultados mostram que Pré-FOG pode ser detectada, mas com taxas de reconhecimento baixas, indicando a falta de padrões discriminantes da classe Pré-FOG em relação às instâncias de FOG ou de Não-FOG.
Desafios e Tendências na Predição de Sepse
Authors: Silva Jr. Lourival G. , Andrade Rossana M. C. , Celestino Jr. Joaquim
Published: August 2023

A sepse é uma das principais causas de mortes em Unidades de Terapia Intensiva (UTI) e possui elevados custos para os sistemas de saúde em todo o mundo. Sendo assim, é importante descobrir quais os desafios e tendências sobre este tema para contribuir com pesquisas futuras. Este trabalho apresenta um Mapeamento Sistemático da Literatura (MSL) em que os artigos foram analisados dentro do intervalo de 2016 a 2020 com foco em predição de sepse. Os resultados mostraram, além de outras evidências, que a diversidade de modelos de predição de sepse encontrados revela uma clara necessidade de padronização nesta área.
Human vs Machine Towards Neonatal Pain Assessment: A Comparison of the Facial Features Extracted by Adults and Convolutional Neural Networks
Authors: Carlini Lucas Pereira , Thomaz Carlos Eduardo
Published: August 2023

Recém-nascidos (RNs) em estado crítico ou prematuros passam diariamente por inúmeros procedimentos dolorosos, necessitando avaliação contínua da dor. No entanto, resultados recentes evidenciaram a subjetividade dos métodos aplicados por profissionais de saúde. Neste contexto, este trabalho aplica modelos computacionais para compreender de maneira específica a dor expressa por RNs, comparando as características faciais relevantes para a máquina com as regiões observadas por Médicos e Pais de RN durante avaliação da dor. Os resultados obtidos mostraram que as regiões relevantes para os modelos computacionais são clinicamente importantes e, em partes, concordam com a percepção facial humana.
Classificação de Imagens Histopatológicas Usando uma VGG e Mecanismo de Atenção para Detecção de Câncer de Mama
Authors: Rodrigues Filho Marcelo Luis , Cortes Omar Andres Carmona
Published: August 2023

O câncer de mama é causada pela divisão celular descontrolada. Dessa forma, a detecção precoce da doença é fundamental para melhorar a vida dos pacientes ou até mesmo curá-los. Nesse contexto, o presente trabalho propõe o uso de uma arquitetura de rede convolucional (CNN) chamada miniVGG, formada por sete camadas e derivada das arquiteturas VGG tradicionais. Os resultados mostraram que uma variação menos profunda combinada com uma estratégia de escolha da taxa de aprendizado e mecanismo de atenção supera o desempenho em tempo de treinamento e classificação das arquiteturas VGG tradicionais alcançando uma acurácia de 93%, precisão de 91%, recall de 92%, F1 Score de 92% e um AUC de 99%.
Avaliação de um Exergame para a Telerreabilitação de Pacientes
Authors: Nascimento Daniela Fernandes do , Souza Carlos Henrique Rorato , Berretta Luciana de Oliveira , Carvalho Sergio T.
Published: August 2023

A reabilitação é um processo que visa recuperar as funções motoras de pacientes. O acompanhamento de um profissional de saúde e a constância do paciente são cruciais para o sucesso do tratamento. Para melhorar esse processo, jogos sérios podem ser integrados às atividades de reabilitação. Neste sentido, foi desenvolvido o jogo digital CicloExergame, em que o paciente deve pedalar em um cicloergômetro, desviando de obstáculos e coletando moedas, enquanto dados fisiológicos são capturados e apresentados. O objetivo deste trabalho é avaliar o CicloExergame quanto às suas funcionalidades de comunicação, junto a especialistas (fisioterapeutas), por meio do método Delphi, e voluntários em ambiente controlado. Os testes e avaliações demonstram a eficácia do CicloExergame para a telerreabilitação de pacientes.
Accelerating Simulations of Cardiac Arrhythmias through Robust Numerical Techniques and Parallel Computing
Authors: Couto Guilherme M. , Monteiro Noemi Z. , Santos Rodrigo W. dos
Published: August 2023

This paper explores how numerical methods and parallel computing can be used to accelerate simulations of cardiac arrhythmia. The simulations are based on the monodomain cardiac model, governed by a set of partial differential equations (PDEs). The new software could accurately reproduce various types of arrhythmia, such as spiral waves and reentry, by solving the PDEs using an Alternating Direction Implicit (ADI) fractional splitting method. Parallel programming via OpenMP led to a significant reduction in computation time, making the simulations feasible for practical applications.
Incentivando e Fidelizando Doadores De Sangue na Região Sul-Fluminense
Authors: Paula Davi Bernardo Santos de , Vasconcelos Pedro Henrique Cardoso Pinho , Sirqueira Tassio Ferenzini Martins
Published: August 2023

No atual cenário pós-pandemia em que vivemos, viu-se uma fragilidade nos sistemas de doação de sangue, cujo muitos estão passando por dificuldades para levantar estoques sanguíneos e com frequência notamos campanhas de doação. Diante disto, propõe-se um sistema para incentivar e fidelizar os doadores de sangue na região sul-fluminense. Através dos recursos de gamificação, buscou-se maximizar o número de doadores, para, consequentemente, aumentar o número de doações e elevar o estoque sanguíneo. Além da gamificação, o aplicativo apresenta os pontos de coletas e as informações importes que os potenciais doadores precisam saber antes de doar. Como resultado, visamos melhorar o engajamento entre os doadores.
Prova de Conceito de um Classificador de OPMEs em Notas Fiscais
Authors: Gomes Wesckley , Colaço Júnior Methanias , Fontes Raphael , Silva Rodrigo , Nunes Bruno , Silva Caldeira , Paiva Jailton , Valetim Ricardo
Published: August 2023

Contexto: Apesar do avanço da tecnologia, muitos serviços e sistemas de informação, especialmente no setor público, ainda utilizam descrições não estruturadas em linguagem natural de produtos, serviços ou eventos, dificultando suas classificações e análises. Para auditorias eficientes, é necessário classificar e totalizar automaticamente faturas emitidas para compra de produtos. Objetivo: Avaliar preliminarmente uma ferramenta, baseada em Inteligência Artificial (IA), o OPMinEr, para selecionar e classificar notas fiscais de OPMEs (Órteses, Próteses e Materiais Especiais). Método: Prova de conceito do OPMinEr. Resultados: Com uma acurácia de 99%, os resultados mostraram que é possível identificar e classificar OPMEs em notas fiscais. Conclusão: O uso de IA ajudou a mitigar o problema de classificação de notas, beneficiando processos de auditoria, investigação e combate à corrupção na área de saúde.
Spatial Statistics: A GIS Methodology to Investigate Point Patterns in Stroke Patient Healthcare
Authors: N. Halls Joanne , J. Lutz Barbara , B. Jones Sara , A. Psioda Matthew
Published: August 2023

Stroke is the leading cause of major disability and the fifth leading cause of death in the United States. Stroke incidence across the U.S. is not uniform where the southeastern states, known as the “Stroke Belt”, have historically higher rates. Importantly, while the national average death rate due to stroke has been declining, the death rate in the Stroke Belt (from 2013 to 2015) increased 4.2% overall and 5.8% within the Hispanic population. Healthcare interventions have been designed to improve acute stroke care, but they are less prevalent in addressing post-acute care needs of stroke survivors. Therefore, this chapter will describe the results of a recent study that investigated patterns in post-stroke care using a sequence of geospatial statistics. Through this investigation, the reader will learn the sequence of Geographic Information System (GIS) techniques appropriate to use when studying complex spatial patterns.
Water Chemistry in Nuclear Power Plant
Authors: Nur Salam Md. , Rokonuzzaman Md.
Published: August 2023

Water quality has long been an important part of the operation of nuclear power plants. Water is used as a working and cooling fluid in power plants. The quality of source waters to be used in the power plants after treatment should conform to the prescribed values of Physicochemical properties like pH, EC, TDS, alkalinity, hardness, presence of chloride content, silica, and heavy metals as recommended by technical guidelines. The Physicochemical properties of water must be recovered the recommended values of the World Health Organization (WHO), United States of Public Health (USPH), and power plant water chemistry guidelines. But the values of raw water are very far from the recommended values of Nuclear Power Plants operation. So, it needs to treat to use in the boilers. Gravitation, Carbon filtration, Ion exchange method, and Reverse Osmosis (RO) are good ways to treat the water before use in power plants. The aim of this chapter is to explore the water chemistry of the source water quality parameters values and those of the recommended values of technical guidelines.
Extubations Protocols in the Neurocritical Patient
Authors: Francisco Piña Rubio Jorge , Elena Buenrostro Espinosa María , Serrano Tamayo Ricardo , Cuevas Garcia Jesus , Valentina Plascencia Gutiérrez Ana , David Durán Morales José , Chavira Calderon Larry
Published: August 2023

Within neurosurgical procedures, it has been observed that the failure rate covers up to 70%. It has been observed that early extubation has been associated with a decrease in mortality as well as a shorter hospital stay. Delaying extubation to obtain sustained neurological improvement during the recovery phase does not guarantee successful extubation. Studies have observed that up to 80% of patients with Glasgow less than 8 have been successfully extubated. It must be remembered that the Glasgow scale does not assess the difference in disorders of consciousness nor does it evaluate stem reflexes in intubated patients, so current studies have opted for other scales that allow us to assess the state of consciousness with more criteria to evaluate. It is demonstrated that the delay in extubation for neurological recovery did not show successful extubation and was associated with an increase in nosocomial pneumonia, longer stay in the ICU, and hospital cost. It is important to emphasize the evaluation of this type of patients, placing special emphasis on the cardiac and pulmonary repercussions of patients who suffer neurological lesions, since alterations that could go unnoticed could mean a failure to extubation with repercussions on the morbidity and mortality of patients.
Knowledge Management for the Marine Energy Industry: PRIMRE
Authors: Whiting Jonathan , Ricardo Castillo Cesar , Weers Jon , Peterson Katie , Peplinski Will , Ruehl Kelley , Copping Andrea , Anderson Megan , Ticona Rollano Fadia , Gilroy Nicholas , Susmarski Paul , Garavelli Lysel , Fields Hanna , Farr Hayley , Morris Sean
Published: August 2023

Marine energy involves capturing power from ocean currents and waves, and natural gradients of temperature and salinity. In nearly 20 years of modern development, the industry has generated considerable knowledge around resource assessment, site selection, technology design, manufacturing, testing, environmental effects, and standardization. The Portal and Repository for Information on Marine Renewable Energy integrates and connects marine energy knowledge hubs into a comprehensive and connected knowledge ecosystem with the goal of progressing the industry. The seven knowledge hubs include the Marine and Hydrokinetic Data Repository for datasets, Tethys and Tethys Engineering for environmental and technical documents, Marine Energy Projects Database for deployment activities, Marine Energy Software for software, Marine Energy Atlas for geospatial data, and Telesto for development guidance. At an early tumultuous time in the industry, these knowledge management systems organize vocabularies, retain important early lessons from developers, guide research activities internationally, inform permitting decisions for regulators, and provide authoritative sources of information for the public.
Prehabilitation: Enhancing Recovery and Outcomes in Hernia Surgery
Authors: Paiva de Oliveira Gabriel , Maillo Carmen
Published: August 2023

As patients get older and clinical situations become more complex, optimization before surgery is paramount. Physicians always tried to improve the pre-surgical status of patients, but they followed stochastic models. The structured intervention to improve nutritional status, cardiorespiratory and neurocognitive function and minimize frailty has been called prehabilitation. It improves functional status before and after surgery in multiple settings suggesting a possible lower length of stay, as documented by several RCTs, and improved outcomes. Hernia surgery has evolved immensely in the past decades, providing solutions for patients and situations not long ago deemed inoperable. For incisional hernia, especially if complex, the recurrence rate may increase to 60%, most of which occur in the first 2 years. The difficulty rises for each repair attempt, so teams have their best opportunity in the first intervention. Most complex hernias started as simple ones. Prehabilitation interventions may contribute to outcome optimization in hernia surgery.
The Potential of Leadership: Differences between Mental Models of Leadership in the Twentieth and Twenty-First Centuries
Authors: Vinícius Doria Calvosa Marcello , Alice Vilas Boas Ana , de Souza Sant’Anna Anderson
Published: August 2023

The central aim of this chapter is to verify the extent to which the orientation of scientific research on the topic, leadership follows classical or contemporary approaches, according to analysis of the main databases of publications on the topic in the period 2014–2021, in English and Portuguese. A Focus Group with experts on leadership define 28 descriptors responsible for revealing the incidence and content of publications of different natures with academic, technical, technological or scientific orientations, whether classical or emerging. A quantitative approach followed, through bibliometric research, in which the descriptors were investigated in three selected prestigious databases and two non-prestigious ones. The main conclusions were: (i) the low scientific production and the need for more prestigious publications in Portuguese on the topics of leadership and management; (ii) recognition that the traditional mental model of the twentieth century was massively disseminated in explicit communications in English, in all databases, when compared to the contemporary mental model, with inverse behavior for publications in Portuguese, a phenomenon that has increased over the last few years, contrary to the research expectations.
The significance of education in the preparedness for zoonotic diseases
Authors: Uribe Corrales Natalia
Published: August 2023

Zoonotic diseases can potentially cause different illnesses in humans and animals, ranging from mild to severe manifestations and resulting in fatalities. Regrettably, the public and governmental bodies often lack awareness regarding the significance of many zoonoses. Neglected zoonotic diseases, including Leptospirosis, Chagas disease, Leishmaniasis, and various parasitic and virus infections, are particularly concerning. In different contexts, diverse educational strategies address the intricate interplay between human health, animal health, and the environment. By fostering recognition of zoonotic diseases, communities can better understand the underlying dynamics and develop effective prevention, control, and mitigation strategies for improving their health.
Advances in Epigenetic Mechanisms and Transgenerational Inheritance of Male Infertility Induced by Exposure to Endocrine-Disrupting Chemicals
Authors: Yuan Yan , Wu Peihao , Yan Yixuan , Wang Jing , Feng Jialin , Ma Jinqi , Tang Qiuqin , Wu Wei
Published: August 2023

Male fertility has declined over the last few decades. Therefore, the increasing concern about the link between the environment and male reproductive health has been raised. Studies have found that the exposure to environmental toxicants during fetal development or the mother’s perinatal period promotes the occurrence of infertility in adult male offspring. Environmental toxicants, especially endocrine disrupting chemicals (EDCs), such as phthalic acid ester (PAEs), can induce changes in epigenetic information related to paternal infertility, threatening the reproductive, and developmental health of offspring. Transgenerational epigenetic inheritance refers to a genetic phenomenon that does not involve DNA sequences and affects the phenotypic characteristics of offspring by altering gene expression through DNA or RNA methylation, histone modification, noncoding RNAs, etc. This review describes the concept and phenotype of intergenerational and transgenerational inheritance induced by EDCs, summarizes the recent achievements of important epigenetic molecular mechanisms, and provides a relevant theoretical basis for the protection of male fertility.
An Innovative Five-Step Patient Interview Approach for Integrating Mental Healthcare into Primary Care Centre Services (AlKhathami Approach)
Authors: Dukhail AlKhathami Abdullah
Published: August 2023

Mental health problems are often inadequately diagnosed and managed in routine primary healthcare (PHC) services. The new Five-Step Patient Interview approach (the AlKhathami approach) is comparable to psychiatric interviews and is more accurate than current screening tools for identifying patients’ degrees of psychological stress. This will assist in integrating the screening and management of psychological stress and common mental health problems among patients seeking PHC services. It is a valid and reliable tool for integrating mental healthcare into PHC and family practice services. The Five-Step approach offers an opportunity to provide mental health services in busy clinics (5–8 min duration). It improves physician-patient communication by encouraging the exploration of patients’ perspectives. It plays a role in controlling chronic organ diseases and physical complaints. It also reduces the frequency of patient health services, enhances the satisfaction of patient healthcare providers, and reduces unnecessary investigations and medications, thereby safeguarding healthcare resources.
On the Analytical Properties of Prime Numbers
Authors: Abdalla Fadul Shazali
Published: August 2023

In this work we have studied the prime numbers in the model P=am+1,m,a>1∈N. and the number in the form q=mam+bm+1in particular, we provided tests for hem. This is considered a generalization of the work José María Grau and Antonio M. Oller-marcén prove that if Cma=mam+1 is a generalized Cullen number then mam≡−1amodCma. In a second paper published in 2014, they also presented a test for Broth’s numbers in Form kpn+1 where k<pn. These results are basically a generalization of the work of W. Bosma and H.C Williams who studied the cases, especially when p=2,3, as well as a generalization of the primitive MillerRabin test. In this study in particular, we presented a test for numbers in the form mam+bm+1in the form of a polynomial that highlights the properties of these numbers as well as a test for the Fermat and Mersinner numbers and p=ab+1a,b>1∈Nand p=qa+1where qis primeoddare special cases of the number mam+bm+1when btakes a specific value. For example, we proved if p=qa+1where q is odd prime and a>1∈N where πj=1qqjthen ∑j=1q−2πj−Cmaq−j−1q−am≡χmq−ammodp Components of proof Binomial theorem Fermat’s Litter Theorem Elementary algebra.
Role of Exosomes in Tuberculosis: Looking towards a Future Road Map
Authors: Kumar Barik Sushanta , Turuk Jyotirmayee
Published: August 2023

Exosomes are generated by the multivesicular degradation of plasma membrane fusion, lysosomal, and extracellular release of intracellular vesicles. The exosome ranges from 30 to 150 nm in size. Exosomes are “bioactive vesicles” that promote intercellular communication. Exosomes contain a variety of biologically active substances packaged with proteins, lipids, and nucleic acids. After any microbe infection into the exosomes, the content of the exosomes changes and is released into the bloodstream. Such type of exosome content could be useful for basic research on exosome biology. Tuberculosis (TB) is a serious infectious disease caused by Mycobacterium tuberculosis (Mtb). During the Mtb infection, the exosomes played an important role in the body’s infection and immune response by releasing several exosome components providing new ideas for diagnosis, prevention, and therapeutic treatment of Mtb infection. The detection of the low abundance of the Mtb numbers or secreted peptides in the serum of TB patients is not possible. The best way of findings for diagnosis and treatment of TB could be possible by the exploration of exosome content analysis through various useful technologies. The study and analysis of exosome content would produce a road map for the future early diagnosis, prognosis estimation, efficacy monitoring, research, and application for TB.