bluuebunny/crossref_metadata_2025 huggingface dataset:
Strout’s Insight into the Times: Trauma and Recovery in Olive Kitteridge
Authors: Minghui Qiu
Published: August 2023

Olive Kitteridge wins the 2009 Pulitzer Prize and is a representative work of Elizabeth Strout. The eponymous character Olive Kitteridge personifies the pathos of contemporary America in the contemporary world, through whom Elizabeth Strout strives to shed light on a spiritual barren American. Thus, it’s essential to analyze how Olive Kitteridge deals with her traumatic experiences according to the arrangement of Elizabeth Strout. Through close reading of the text, this article will systematically analyze Olive Kitteridge's individual trauma from three aspects--the manifestation, the causes, and the recovery methods, so as to present an approachable way to smooth the pain of modern people and show the mental damage caused by rapid modernization.
A Review of Numerical Simulation and Analytical Calculation Methods for the Study of Flow over a Wedge
Authors: Prajapati Chintan R. , Donga Aniket P. , Patel Akshar D. , Babariya Pranav R.
Published: August 2023

Abstract: The study of flow over a wedge holds immense significance in diverse domains, encompassing aerodynamics and heat transfer applications. This research paper presents a comprehensive investigation of essential flow parameters, including pressure, temperature, velocity, and shock wave characteristics. Moreover, it offers a comparative analysis between analytical and numerical approaches for studying flow over a wedge. Theoretical analyses involve calculating vital parameters like pressure ratio and temperature ratio using 1-D inviscid compressible flow equations coupled with conservation laws for energy, mass, and momentum. On the other hand, the numerical investigation employs Computational Fluid Dynamics (CFD) techniques, specifically the ANSYS Fluent CFD Code, to calculate a wide range of parameters and visualise the flow characteristics for the wedge geometry. In contrast, the ANSYS Fluent simulation employs 2-D inviscid compressible equations to conduct a detailed study of flow behaviour past the wedge geometry. Throughout the paper, the key flow parameters are meticulously analysed, taking into account both analytical and numerical results.
Effects of Relational Bonds on Continuance Purchase Behavior in Live Streaming Commerce
Authors: Wang Huimin , Lee Kyungtag
Published: August 2023

Shopping through live streaming commerce (LSC) has become popular in China. From the perspective of trust transfer theory, this study integrated three kinds of relational bonds as antecedents of trust development to examine the trust mechanism in the context of LSC and extend the marketing
literature. Our research model was validated using data from 525 consumers with LSC experience. Results of structural equation modeling showed that financial, social, and structural bonds had a significant impact on trust in live streamers. Further, trust in live streamers significantly affected
trust in products and continuance purchase intention, and trust in products significantly affected continuance purchase intention. Thus, we can conclude that relational bonds affect continuance purchase behavior through trust in live streamers and products. The findings have theoretical implications
for understanding the factors that affect continuance purchase behavior and have practical implications for stimulating consumer behavior in LSC.
MANIFIESTO PARA LA ENFERMERÍA EN CHILE, UN LLAMADO A RESPONDER AL CONTEXTO DE CRISIS
Authors: Schilling Álvarez Marlene , Blanco Yantany Katerine , Castelblanco Sánchez Rocío , Concha Pérez Joselyn , Cruz Hernández Javiera , Grez Etcheverry Camila , Guajardo Sáez Bárbara , Hetz Flores Daniela , Ross Pincheira Tania , Campillay Campillay Maggie , Dubó Araya Pablo
Published: August 2023

En un mundo cada vez más desigual y siempre en crisis, la profesión de Enfermería ha sido reconocida como clave para contribuir al cumplimiento de los Objetivos de Desarrollo Sostenible (ODS). Desde la perspectiva de las Determinantes Sociales de la Salud (DSS), la profesión enfrenta retos para hacer propuestas que respondan a la mejora de los cuidados de los grupos más vulnerables de la población.  La siguiente reflexión intenta responder a la pregunta: ¿Cuáles son los desafíos sociopolíticos de enfermería en el actual contexto de crisis?. Esta se basa en la sistematización de trabajos realizados por una cohorte de enfermeras que cursan el Magíster en Enfermería de la Universidad de la Frontera. El manifiesto resultante propone y analiza nueve ejes temáticos que contribuyen a una visión positiva y esperanzadora del futuro de la profesión.
A Iniciativa DIBRARQ: o uso do AToM pelo Arquivo Nacional
Authors: Lacerda Thays , Santos Cristina Ruth , Rocha Claudia Lacombe
Published: August 2023

Introdução: Este trabalho foi desenvolvido como um relato de experiência do uso da plataforma AToM pelo Arquivo Nacional do Brasil, chamado Diretório Brasileiro de Arquivos (DIBRARQ). Objetivos: Este relato tem por objetivo apresentar o DIBRARQ, incluindo as propostas de uso do software como uma plataforma de informações sobre acervos arquivísticos acessíveis ao público, custodiados por instituições, famílias e pessoa. Além de apresentar e divulgar o DIBRARQ, este trabalho busca aproximar a experiência do Arquivo Nacional com o uso do AToM de outras experiências semelhantes, fornecendo, também, informações sobre as vantagens e dificuldades encontradas ao longo dos anos de utilização deste tipo de recurso. Metodologia: Relato de experiência a partir do uso do AToM pelo Arquivo Nacional. Resultados: Atualmente o DIBRARQ está em pleno funcionamento, disponibilizando informações de mais de 500 arquivos de acesso público do Brasil, assim como mantendo uma relação direta com as informações do CODEARQ e do portal do Centro de Referência de acervos presidenciais. Conclusão: Destacamos que estão sendo implementadas melhorias no DIBRARQ que visam a disponibilização de um maior número de informações ao usuário, assim como a importância da institucionalização de um projeto para a implementação do AToM, incluindo uma equipe multidisciplinar que esteja dedicada ao software.
Novos olhares sobre a propaganda computacional para a Ciência da Informação
Authors: Peixoto Priscilla Nunes , Santana Júnior Célio Andrade de
Published: August 2023

Introdução: A inteligência artificial tem sido uma ferramenta de análise do comportamento do usuário e assim direcionar conteúdo de interesse, por vezes de baixa qualidade, para os indivíduos. Esta visão conhecida como propaganda computacional tem se tornado presente no cotidiano das pessoas resultando em veículos nichados e a formação de bolhas. Nesta luz, o objetivo deste trabalho é investigar a visão da Ciência da Informação para o uso de algoritmos como veiculadores de propaganda. Metodologia: Utiliza como uma rapid review, a partir do levantamento de artigos científicos nas bases da Brapci, Periódico CAPES e Web of Science dos quais foram identificados 168 potenciais trabalhos e 11 foram de fato selecionados. Resultados: Os trabalhos foram divididos em quatro categorias com foco na temática, contexto, palavras-chave e conceitos dos textos. Conclusão: Concluiu-se a pouca incidência de pesquisas relacionadas a propaganda algorítmica como fenômeno tecnológico e informacional.
Metadados de negócio e dados abertos conectados: semântica na arquitetura da informação para processos de negócio
Authors: Brandt Mariana Baptista , Vidotti Silvana Aparecida Borsetti Gregorio
Published: August 2023

Introdução: A publicação de dados em formato aberto e conectado não ocorre de forma ampla, impedindo que a web atinja todo seu potencial. Objetivo: Assim, objetiva-se propor uma forma de estruturar os dados diretamente nos sistemas de informação em que são gerados, por meio da inclusão de uma etapa para representação dos metadados de negócio em formato RDF, na metodologia de arquitetura da informação para processos de negócio (AIPN). Metodologia: Para tanto, procedeu-se à análise da literatura e documentação da W3C, além de pesquisa aplicada. Resultados: Observou-se que há elementos análogos entre a estrutura RDF e a AIPN. Conclusão: Há viabilidade para a inclusão de estrutura semântica na produção dos dados por meio de uma etapa de descrição RDF dos metadados de negócio na metodologia AIPN.
Garbage In, Garbage Out (GIGO): enfrentando esta máxima nos conjuntos de dados associados ao Programa Dinheiro Direto na Escola (PDDE)
Authors: Dias Guilherme Ataíde , Araújo Wagner Junqueira de , Diniz Adriana Valéria Santos , Córdula Flávio Ribeiro , Costa Paulo Roberto Santos
Published: August 2023

Introdução: A investigação apresenta e discute a relevância da qualidade dos dados na Ciência de Dados, trazendo o conceito de "Garbage In, Garbage Out" (GIGO) ao Programa Dinheiro Direto na Escola (PDDE). Objetivos: Teve como objetivo descrever o processo de extração, transformação e carga de dados para a geração de painéis de informação pelo Centro Colaborador de Apoio ao Monitoramento e à Gestão de Programas Educacionais (CECAMPE/NE). Metodologia: A metodologia empregada configura-se como quantitativa e utilizou ferramentas típicas da Ciência dos Dados. Os dados relacionados com o PDDE foram coletados de sistemas transacionais e de enquetes com as populações envolvidas. Resultados: Os resultados mostraram uma redução satisfatória do GIGO, embora tenham sido identificados desafios como divergências de atualização de dados, falta de documentação adequada das tabelas de dados e problemas com campos de digitação livre nos formulários das enquetes. Conclusão: A análise reitera que o conceito de GIGO é um desafio significativo para a utilização eficaz dos dados do PDDE e destaca a necessidade de elaboração de melhores práticas de gestão de dados no contexto do programa e que todos os profissionais que usam dados como a matéria prima para a realização de suas atividades profissionais devem estar conscientes desses desafios e trabalhar em prol de soluções eficazes.
Ciência da Informação e Big Data: interrelações a partir de revisão de literatura
Authors: Perozo-Vasquez Joel G , Depizzolatti Ana T , Werlang Nathália Berger
Published: August 2023

Objetivos: Trata-se de revisão de literatura, que tem por objetivo descrever as interrelações entre Big Data e Ciência da informação (CI), identificadas nas comunicações científicas indexadas nas bases de dados Scopus e Web of Sciences - WoS. Metodologia: a expressão genérica de busca foi ("big data" AND "information science"), e foram recuperados 233 registros. Após filtragens criteriosas, o objeto de estudo foi definido por uma seleção de 52 artigos. Mediante análise temática, foram identificados os elementos mais relevantes a serem classificados, identificando-se 10 temas principais. Resultados: foram verificados aportes metodológicos da Ciência da Informação em pesquisas com Big Data em diversos campos, tais como: métodos e ferramentas da CI, medicina e saúde pública, pesquisa na CI, formação profissional, planejamento urbano e políticas públicas, além de discussões éticas e pesquisas teóricas e aplicações práticas. Conclusão: a CI possui muitas interrelações com Big Data e tem muito a contribuir na pesquisa e uso desse tipo de análise, além de fortalecer a interdisciplinaridade entre a Ciência da Informação e a Ciência de Dados.
Plugin de integração do WordPress com Tematres
Authors: Brasileiro Ítalo Barbosa , Shintaku Milton , Macêdo Diego José , Costa Lucas Rodrigues , Moura Rebeca dos Santos de , Schiessl Ingrid Torres , Santos Marcelle Costal de Castro dos , Menêses Raíssa da Veiga de
Published: August 2023

Introdução: O WordPress é um sistema popular de gerenciamento de conteúdo, conhecido por sua versatilidade e facilidade de uso. Este estudo apresenta a integração do software Tematres, para criação de vocabulários, com o WordPress, visando melhorar a qualidade dos metadados e a integração de sistemas por meio de plugins. Metodologia: Este estudo apresenta uma solução por meio do desenvolvimento de um plugin, seguindo o modelo de pesquisa tradicional, alinhado aos princípios dos softwares e sistemas de informação a serem integrados, considerando complexidades e um modelo conceitual tripartido. Resultados: Como resultado, o estudo apresenta o plugin, que permite a integração entre o WordPress e a API do Tematres, viabilizando a associação de campos em formulários ao plugin para facilitar o preenchimento com termos do tema, por meio da cópia automática. Conclusão: Por fim, a integração do TemaTres e do WordPress por meio de um plugin personalizado melhora a usabilidade e funcionalidade do WordPress, permitindo o gerenciamento transparente de vocabulários controlados e organização eficaz do conteúdo.
Características dos dados abertos de pesquisa: uma análise a partir dos data papers brasileiros sobre a COVID-19 indexados na Scopus
Authors: Silveira Crislaine Zurilda , Neubert Patricia da Silva , Dias Thiago Magela Rodrigues
Published: August 2023

Introdução: A Ciência Aberta combina vários movimentos de abertura do fazer científico, dentre eles a abertura dos dados de pesquisa e a criação dos repositórios de dados. Também são definidos os Princípios FAIR que orientam a preservação dos dados e o seu reuso tanto por humanos quanto por máquinas. Este trabalho analisa o conjunto de dados de pesquisa sobre COVID-19 em datapapers publicados por pesquisadores vinculados a instituições brasileiras. Metodologia: Os datapapers foram coletados na Scopus. Foi realizado um recorte para 16 conjuntos de dados sobre a COVID-19, depositados em repositórios, após foram identificadas suas características e sua adesão aos Princípios FAIR a partir do uso da ferramenta F-UJI Automated FAIR Data Assessment Tool. Resultados: O repositório Mendeley Data foi o que mais concentrou o compartilhamento dos dados. A maioria dos dados eram oriundos de questionários, estavam no formato de tabelas e utilizavam a licença CC BY 4.0. As extensões indicaram uso de ferramentas livres e proprietárias. Princípio Findable foi o mais aderido pelos conjuntos analisados e o Princípio da Reusability é que mais carece de atenção. Conclusão: A análise dessas características fornece indícios que indicam que os pesquisadores brasileiros carecem de instruções que tornem os dados reutilizáveis e disponíveis a longo prazo.
A gestão dos formatos de preservação de arquivos no Archivematica: estudo de caso com o Processo Judicial Eletrônico
Authors: Pignataro Tatiana Canelhas , Silva Marília Cristina da , Holanda Alex Pereira de , Nogueira Júnior Sérgio Augusto Coelho Diniz , Silva Marcos Sigismundo da , Melo Ívina Flores , Pereira Marilete da Silva
Published: August 2023

Introdução: A preservação digital, no Brasil, em recorte para arquivos públicos, é considerada temática contemporânea na qual as instituições têm se debruçado e estudado na tentativa de implantar soluções que supram esta demanda. Objetivo: Relatar o estudo de formatos de arquivos realizado no Processo Judicial Eletrônico para configuração do Archivematica com fins a preservação de documentos de arquivo. Metodologia: Qualifica-se como uma pesquisa de abordagem qualitativa e de caráter descritivo. Resultados: Conforme levantamento realizado, que o Archivematica enquanto software livre de código aberto e gratuito, está de acordo com o modelo Open Archival Information System e gerencia a política de formatos por meio do Format Policy Registry. Nesse contexto, a partir dos formatos admitidos pelo Processo Judicial Eletrônico, verificou-se a existência de regras de normalização para preservação e acesso, com parâmetros de arquivos originais e respectivas derivadas, além do tamanho do arquivo original. Conclusão: Conclui-se que, pelo estudo de formatos, o conhecimento do comportamento tanto do sistema produtor quanto do sistema de preservação na condução da normalização dos formatos, é condição obrigatória para a preservação digital. E a etapa central para a finalização do pacote de preservação e acesso em longos prazos de todos os objetos digitais que passam por essa intervenção.
A influência da LGPD nas estratégias de segurança de dados
Authors: Ferreira Vanessa Claudia Alves , Sousa Marckson Roberto Ferreira de , Pessoa Luiz Gustavo de Sena Brandao
Published: August 2023

Introdução: a Lei Geral de Proteção de Dados Pessoais – LGPD, vem trazendo mudanças de comportamento nos diversos ambientes organizacionais quanto à forma de coletar, armazenar, recuperar e eliminar dados. Caber ressaltar que esses aspectos têm relação com a Arquitetura da Informação, que também é impactada, uma vez que influem na forma que os dados são tratados. Objetivo: analisar as estratégias adotadas pelas organizações contábeis do Estado da Paraíba, como medida de segurança de dados pessoais à luz dos recursos da arquitetura da informação. Metodologia: foi realizada uma pesquisa exploratória, bibliográfica com estudo de casos múltiplos, analisando os dados testados estatisticamente com o auxílio do SPSS. Resultados: observou-se nas 88 organizações contábeis pesquisadas, que a maior parte dos entrevistados realizam com muita frequência backups com uso de senhas, atualização de softwares de segurança e rotinas de armazenamento de dados. Essa medida possibilita a redução na ocorrência de invasão de hackers no sistema sendo importante para que se tenha o mínimo de segurança. Observou-se ainda, que as médias apresentam as demais medidas de segurança de maneira visivelmente uniforme. Conclusão: Assim, conclui-se que as organizações contábeis estão, ainda que de forma incipiente, buscando se adequar as mudanças impostas pela LGPD, o que possibilita aprimorar as estratégias oferecidas pela Arquitetura da Informação. Foi possível constatar relações entre LGPD e a Arquitetura da Informação, de forma os serviços contábeis da amostra analisada necessita adotar medidas para aprimorar a segurança da informação.
Observatório de Inclusão Produtiva Progredir: monitorando o empreendedorismo, mão de obra e qualificação profissional
Authors: Regly Tainá , Guerrero Pérez Lisandra , Coelho Jaqueline Gutierri , Novais Marcos Pereira de , Braga Tiago Emmanuel Nunes
Published: August 2023

Introdução: Este trabalho apresenta a criação do Observatório de Inclusão Produtiva Progredir como resultado da Meta 1, correspondente ao projeto de pesquisa Plataforma Informacional para o Sistema Progredir, uma parceria entre o IBICT e o MDS. Metodologia: Esta pesquisa caracteriza-se como qualitativa e exploratória, usou a observação como técnica de coleta de dados em ambientes digitais, e apoiou-se na análise de conteúdo qualitativa como técnica de análise de dados. Para a criação do observatório foram identificados produtores de dados socioeconômicos, indicadores e conjuntos de dados. Selecionou-se um procedimento metodológico, específico, para criar observatórios sociais. Resultados: Foram desenvolvidas as setes etapas que configuram o procedimento metodológico selecionado para a criação do Observatório Progredir: 1) Planejamento estratégico; 2) Definição de processos e serviços de informação; 3) Definição de métodos e técnicas de pesquisa; 4) Definição usuários; 5) Arquitetura da informação; 6) Design; 7) Desenvolvimento e implementação. Conclusão: Com a criação e implementação deste observatório, procura-se oferecer acesso a informação oportuna e contribuir, com transparência, nos processos de monitoramento informacional relacionados com os três eixos principais do Plano Progredir: empreendedorismo, mão de obra e qualificação profissional.
Examining the heuristics and biased in mental arithmetic: Behavioral and ERP evidence
Authors: Pan Yun , Jia Liangzhi , Shen Ji , Tu Weiyu , zhang jian , Yang Huanyu , Xiao Feng
Published: August 2023

The Operational Momentum (OM) effect refers to the tendency to
overestimate addition and underestimate subtraction outcomes during
mental arithmetic, however, whether OM effect arises from multiple
competing sources remains unclear. To explore the mechanism of OM
effect, based on the theory of operand encoding in Triple Code Model
(TCM), we divide operands into magnitude encoding and verbal encoding,
and compare the differences of OM-congruent probe and OM-incongruent
probe at behavioral and electrophysiological level under different
encoding conditions. We found that in the magnitude encoding condition,
participants exhibited a stable OM effect, and OM-congruent probes
elicited a positive P3 component (250–350ms) in the parietal lobes,
while OM-incongruent probes triggered a more negative N2 component
(150–250ms) in the parietal lobes. In the verbal encoding condition,
participants exhibited a reserved OM effect and OM-incongruent probes
elicited a more negative N2 component (150–250ms) in the frontal lobes.
These results indicate OM effect arises from multiple competing sources
of bias in mental arithmetic, which is consistent with the assumptions
of the AHAB model.
The Role of Interest in Young Children's Retention of Words
Authors: Ackermann Lena , Förster Meike , Schaarschmidt Juliane , Hepach Robert , Mani Nivedita , Eiteljoerge Sarah
Published: August 2023

Children fast-map new words to their referents early on but do not show
robust retention until much later. This paper examines whether
children’s interest in a natural category relates to retention of newly
learned words in that category. German-speaking 24-month-olds and
38-month-olds (n = 88, 41 female) were trained on novel
word-object-associations from different categories. Pupillary arousal
and parental reports served as indices of interest in the objects and
categories presented. Recognition and retention were tested directly
after exposure, five minutes later, and 24 hours later. Both younger and
older children showed successful word-object recognition and retention.
Furthermore, interest in the category modulates young children’s
recognition and retention of newly learned word-object associations from
semantic categories across ages.
Early Detection of Hepatobiliary Involvement in Cystic Fibrosis: Biomarkers, Elastography and Genetic Influences
Authors: Sankararaman Senthilkumar , Freeman A. Jay
Published: August 2023

Cystic fibrosis-related hepatobiliary involvement (CFHBI) is a term used
to describe a spectrum of hepatobiliary involvement ranging from benign
elevation of transaminase levels to advanced cystic fibrosis associated
liver disease (aCFLD). While CFHBI is common among people with cystic
fibrosis (PwCF), aCFLD is rare impacting only approximately 5-10% of
the CF population. Importantly though, aCFLD is the third leading cause
of death among PwCF, is an independent predictor of all-cause mortality
and is associated with significant morbidity. Despite this recognition,
our ability to predict those patients at greatest risk for aCFLD,
identify early aCFLD and monitor incremental progression of CFHBI is
lacking. Here we review the strengths and weaknesses of the common
biomarkers and imaging modalities used in the evaluation and monitoring
of CFHBI, as well as the current understanding of genetic modifiers
related to aCFLD.
Online Healthcare Service in relation to Customer Acceptance and Customer Decision Making: A COVID-19 Perspective
Authors: Sabir Raja Irfan , Javed Ayesha , Arshad Muhammad Zulqarnain
Published: August 2023

Digital health, also known as digitalization in healthcare is a growing
industry that is bringing several benefits to people around the globe.
Online healthcare services are playing a major role in the digital
transformation of the health sector. While there are various advantages
of digitalization of health services including sharing medical history,
easier and faster access of healthcare services, electronic data
collection, reduced costs of building infrastructure, and efficiency in
the delivery of healthcare services. On the other hand, this also poses
challenges in the acceptance of customers and their decision-making
towards online health services So, this research focuses on customer
acceptance and customer decision-making for online healthcare services
with digital transformation. There are two dependent variables in this
research including customer acceptance and customer decision making and
one independent variable of online healthcare service. The variable of
digital transformation plays the role of mediator between online
healthcare service and customer acceptance and decision making.
Technology acceptance model is the underpinning theory of this research
with the consumer decision-making model as a supporting theory.
Quantitative research methodology was used by utilizing a survey
strategy via questionnaire and data were collected from the customers of
online healthcare services residing in Lahore. Moreover, SEM has been
used for data analysis via AMOS. Out of four hypotheses of this study,
three hypotheses (H2, H3, and H4) have been accepted and one hypothesis
(H1) has been rejected as explained in the findings. The findings of
this research are beneficial for future researchers as it adds to the
existing knowledge and provides recommendations for future research. The
findings of this research are beneficial for hospital administration and
policymakers to help customers in catering their problems regarding
online healthcare services and making lives better for society.
Role of metasomatism in the development of the East African Rift at the Northern Tanzanian Divergence: Insights from 3D magnetotelluric modelling.
Authors: Özaydin Sinan , Selway Kate , Foley Stephen , Ezad Isra , Griffin William L. , Tarits Pascal , Hautot Sophie
Published: August 2023

The Northern Tanzanian Divergence in the East Africa Rift is arguably
the best place on Earth to study the controls on rifting of thick
lithosphere. Here, where the East Africa Rift intersects the Tanzanian
Craton and the Mozambique Belt, the relationships between volcanism,
faulting, pre-existing structures and lithospheric thickness and
composition can be observed. In this work, we carry out the first
lithospheric-scale 3D magnetotelluric modelling of the Northern
Tanzanian Divergence and combine the results with experimental
electrical conductivity and petrology models to calculate mantle
composition, which is also inferred in the craton from reanalysis of
garnet xenocryst data. Our results show that metasomatic materials exist
in the cratonic lithospheric mantle and the relatively undeveloped
southern part of the rift zone. However, the lithospheric mantle of the
Mozambique Belt and the more developed northern section of the rift is
more resistive and does not contain metasomatic phases. Combined with
geochemical data from erupted lavas, these results suggest that, in
zones that have experienced voluminous Cenozoic magmatism, melting
events have destroyed the metasomes and dehydrated the mantle. Since the
presence of magma is a primary control of lithospheric strength, rifting
may become limited as the lithospheric mantle becomes dehydrated and
harder to melt.
Provide Evidence Based Proof that Vincent Van Gogh Committed Suicide: an Open Challenge and Direct Cross-Examination for the Forensic Truth!
Authors: Krier Leon
Published: August 2023

This is an Open Challenge to Martin Bailey, an investigative journalist and Van Gogh scholar, as well as the many art historians, art critics, museum curators, who have denied the “murder” of Vincent van Gogh as only a “myth,” and a “blasphemy.” World renowned forensic pathologists confirmed that a self-inflicted gunshot wound, without an exit wound, was dubious, if not technically impossible, for any bullet to enter the abdomen, as described by a person of interest, and to follow the unbelievable “magic bullet” ballistic course trajectory to end up where it was believed to end up, despite no evidence that a bullet was removed, and no autopsy performed [1]. Consequently, suicide is untenable. Therefore, these “deniers” of Vincent’s murder must now provide substantive, contemporaneous, evidence-based proof that Vincent van Gogh committed suicide, subject to direct (published) cross-examination, and the use of common sense “Rules of Evidence.”
Drug Recommendations Using a Reviews and Sentiment Analysis by Recurrent Neural Network
Authors: Sree P Kiran
Published: August 2023

Drug Recommendation systems are the systems that have the capability to recommend drugs. On daily basis a huge amount of data is being generated by the patients. all this valuable data can be properly utilized for creating a reliable drug recommendation system. In this presented paper, we recommend a system for drug recommendations. The main scope of our system is to predict the correct medication based on reviews and ratings. Our proposed system uses natural language processing techniques (NLP), Recurrent neural network (RNN).and we also considering various metrices like Precision, Recall, Accuracy, f1 Score, roc curve as the measures of our system performance. Natural Language processing techniques are being used for gathering useful information from patients data, and RNN is a machine learning methodology, that works really well in analysing textual data. The system considers various patient data attributes like age, gender, dosage, medical history, symptom in order to make appropriate predictions. The proposed system has the potential to help medical professionals in making informed drug recommendations.
Intra Testicular Leiomyoma: First Case Report from an Ethiopian Patient
Authors: YG Shumiye
Published: August 2023

Leiomyomas are benign tumors arising from smooth muscle cells myometrium being most common site of origin. Capsule of kidney is most common site of origin in male Genito urinary system. Testicular parenchyma is an extremely rare site where tumor presents as a painless, slowly growing mass. It is very difficult to diagnose this lesion preoperatively as ultrasound features are nonspecific. Microscopic evaluation only renders an exact diagnosis. Intraoperative frozen section biopsy followed by local excision is the current treatment of choice but if not available radical orchidectomy would be done. We report case of intratesticular leiomyoma in a 32-year-old Ethiopian patient.
Review on the Global Public Health Issue of Antibiotic Resistance and Potential Solutions
Authors: Ame Mohammedkemal Mustefa
Published: August 2023

Both industrialized and developing nations are extremely concerned about the worldwide spread of infectious diseases and the rise of antibiotic resistance. It is common for bacteria to develop resistance to antibiotics, and this phenomenon has been observed after the introduction of every antimicrobial drug into clinical practice. When bacteria adapt, the effectiveness of medications used to treat the infection is decreased or eliminated. This phenomenon is known as resistance. As a result, the germs continue to grow and cause additional damage. Due to the fact that the current antibiotics in clinical use were produced through changes to the existing classes and have demonstrated short effect cycles, a report indicated that there would be a global antibiotic shortage. The main contributing variables include population density and mobility, proper use of human antibiotics, and sub-therapeutic and excessive use of antibiotics in food animals. Manufacturers of extended-spectrum beta-lactamases and drug resistance Major concerns to global public health include Neisseria gonorrhoeae, tuberculosis, methicillin-resistant Staphylococcus aureus, and vancomycin-resistant enterococci. At the moment, antibiotic resistance places a significant clinical and financial burden. Due to the requirement for more expensive medications for the second line of therapy and significantly longer hospital stays, antibiotic resistance has a significant financial impact on the patient and family, the hospital, and society. According to the Centers for Disease Control and Prevention, antibiotic resistance causes 23,000 fatalities and over 2 million illnesses annually in the United States alone. With 27.3 deaths per 100,000 people, Africa has the highest mortality rate from AMR infections in the whole globe.
Enhanced Oil Recovery by Surfactant Injection was improved during the Last 50 Years Thanks to the Multivariable HLD Formulation Equation
Authors: JL Salager
Published: August 2023

This report reviews the progress in Enhanced Oil Recovery (EOR) through surfactant injection over the past half century from 1974, with a specific focus on the role of the multivariable Hydrophilic-Lipophilic Deviation (HLD) formulation equation in different expressions. This equation has been instrumental in optimizing surfactant formulations for EOR, enabling the fine-tuning of surfactant types and properties to match specific reservoir conditions like brine salinity, crude characteristic, temperature and even pressure. This short assesment discusses the evolution of surfactant types, and their impact on EOR efficiency for a given reservoir specifications. It highlights the role of intramolecular and intermolecular mixing in surfactant performance, and the benefits of using a multivariable HLD equation to predict and optimize the injected formulation. Furthermore, it explores the challenges and solutions related to surfactant adsorption, aggregation, precipitation, and effect on phase behavior and interfacial tension, and how these factors have to be considered when using surfactants for EOR projects. This review aims to address the existing gaps in the literature, such as the complex effects of surfactant mixtures with insensitivity to temperature and injected composition (amphiphilic concentration and water/oil ratio) that make difficult to propose a unified approach for different petroleum reservoirs. It concludes a discussion on the state of the art and future of surfactant EOR, emphasizing the need for continued research and collaboration across academic and industrial sectors
Possible Interventions for the Treatment of Post-Traumatic Stress Disorder (PTSD) in Children and Adolescents
Authors: Luana Sorrenti
Published: August 2023

Post-traumatic stress disorder (PTSD) is a chronic psychological disorder triggered by traumatic events and it is characterized by at least one month’s experience of symptoms that are divided into four groups: intrusions (nightmares; flashbacks related to the trauma); negative alterations in cognition and mood (anhedonia and persistent negative affect); avoidance (efforts to avoid internal and external reminders of the trauma); and hyperarousal (sleep disturbances and exaggerated startle response;
Analysis of the Influence of Regulatory Enforcement Shifts from Coercive to Collaborative on Compliance Behaviors within the Pre-Tertiary Education Regulatory Environment
Authors: Botchway Cynthia N. A.
Published: August 2023

The use of the coercive (traditional enforcement) approach in enforcing regulatory compliance to aspects of the Education Regulatory Act, 2020 (Act 1023), that is overseen by the National Schools Inspectorate Authority (NaSIA), led to media clamor and a high level of non-compliance, which necessitated the development of a new collaborative approach to change non-compliance behavior in the education regulatory environment. With critics raising alarm over the tendency of the new approach to deepen the level of non-compliance instead of solving the problem, there was a need to explore this new approach to understand the effectiveness and efficiency of the new collaborative approach. The research design used to address the research problem was divided into two (2) phases. The main approach focused on using situational analysis of a case to describe the regulatory environment of NaSIA before and after the change in the regulatory enforcement approach of the regulator and the compliance behavior of the regulated entities. The second phase entailed the use of descriptive statistics to analyze survey data of regulated entities (pre-tertiary education institutions) to verify the veracity of the attitudes or thoughts identified in the situational analysis. The study showed that the adoption of the new approach reduced the level of agitation and clamor in the media, and the level of regulatory compliance increased, leading to over six thousand (6000) pre-tertiary education institutions that were considered non-compliant in 2021 attaining full compliance at the end of 2022. This is a 75% improvement in regulatory compliance over the previous year, demonstrating the success of the new strategy in attaining the regulator’s primary goal.
Concept, Dimensions and Perception of Healthy Lifestyle
Authors: Rodríguez José A. García del Castillo
Published: August 2023

The concept of healthy lifestyle is one of the most used in the promotion and health prevention. Its vagueness can generate problems of adjustment when it comes to understanding its ultimate objective and, above all, generate confusion in the investigations that use it to generate healthy behavior patterns. The dimensions on which the concept of healthy lifestyle is based are in themselves very disparate, intervening behaviors and actions executable, emotions, cognitions and perceptions, which makes its functionality much more complex and controversial when it comes to agreeing on its final content. Risk perception in lifestyle is intimately linked to the concept of perceived psychosocial vulnerability, because it is a concept that varies according to age and has a direct impact on psychosocial factors that affect lifestyle such as susceptibility, adaptation, coping and resilience. Our goal is to narrow and delimit the concept of healthy lifestyle from a theoretical perspective, so that a construct so widely used in psychology and health research can be addressed more objectively, with agreed parameters and taking into account its dimensions and the perception that people have of it.
Ethnomathematics: Mathematical Concepts in Sigale-Gale Statues
Authors: Fadhilah Adinda Ayu , Lubis Mara Samin
Published: August 2023

This study aims to investigate the mathematical concept of the Sigale-gale statue so that it can be utilized as an instructional resource in mathematics. The study employs qualitative approaches using an ethnographic approach. The researcher served as the data collector for the study, and the informants were the Batak people. Primary data-gathering methods include observation, interviews, documentation, and comprehensive literature reviews. The data analysis technique is descriptive analysis in the form of data reduction, data presentation, and conclusion drawing. The results revealed that the Sigale-gale Sculpture contains mathematical concepts such as plane geometry, spatial geometry, reflection transformation, dilation transformation, and angles. Ethnomathematics can be an innovation as well as a breath of fresh air in the classroom learning process so that the methods used are not monotonous, ethnomathematics-based learning models, student worksheets, and visual videos that illustrate mathematical concepts on the Sigale-gale Statue are used, thereby increasing student motivation and interest, and student learning outcomes are also increasing.
PBL-Based Student Worksheet to Improve Critical Thinking Ability in Science Learning in Elementary Schools
Authors: Pramudiyanti Pramudiyanti , Pratiwi Wulan Octi , Armansyah Armansyah , Rohman Fatkhur , Putri Intan Yulia , Ariani Devi
Published: August 2023

This study aims to create a student worksheet based on the Problem-based Learning (PBL) model in science learning, test its feasibility, and identify student and teacher responses to the implementation of the student worksheet. The instruments were validation sheets and student and teacher response questionnaires. The research data were descriptively and qualitatively analyzed based on the criteria score. Material expert validation obtained an average of 0.8409 with "high" criteria. An average of 0.8036 with "high" criteria was obtained for language expert validation. Media expert validation obtained an average of 0.7522 with "moderately high" criteria. According to the findings of the field trial, the average response of teachers was 86% with the criteria "excellent," and the average response of students was 85% with the criteria "excellent and highly suitable." Furthermore, the n-gain value obtained was 0.7 in the "moderate" category. As a result, the developed student worksheet can be used to improve students' critical thinking skills. Thus, teachers are advised to create student worksheets based on other materials.
Problems with Periodic Table Theory-Praxis in Chemistry Topics Teaching
Authors: Mhlongo Thabo , Sedumedi Thomas Dipogiso
Published: August 2023

The two main chemical concepts that are the subject of this investigation are chemical bonds and related reactions. This research examines how the periodic table concept can help teachers improve science teaching. To help students understand the contents of the periodic table and the helpful information its settings provide students. This study looks at how teachers use the periodic table in class. The study focused on schools as a single case and adopted a qualitative methodological approach. Two physics teachers participated. It was found that according to teachers, the periodic table may impact how they use or ignore its use when teaching students about its content or as a framework for understanding material and chemical reactions. Therefore, the concept of the periodic table can help teachers improve the quality of teaching. There needs to be more in-depth research on the apparent relationship between teacher knowledge representation in chemistry and teachers' approaches to teaching using the periodic table.
Efektivitas kombinasi Pistia stratiotes L. dan Salvinia molesta Mitchell dalam fitoremediasi air asam tambang batubara
Authors: Putri Deviana , Juswardi Juswardi
Published: August 2023

Open pit mining is a mining system that is commonly applied to coal extraction activities. Environmental problems in coal mining activities are generally related to acid mine drainage (AMD). Efforts to overcome the impact of AMD can be done by phytoremediation in constructed wetlands (CW). Plants that have the potential for AMD phytoremediation include Pistia stratiotes L (water lettuce)  and Salvinia molesta Mitchell (giant Salvinia) , so it is necessary to conduct research on the effectiveness of the combination of P. stratiotes and S. molesta to be developed on CW vegetation. The experimental design used was a completely randomized design (CRD), with 3 treatments using P. Stratiotes, S. Molesta, Combination of P. stratiotes and S. molesta each 9 replications. The results showed the effectiveness of phytoremediation using plant vegetation of P. stratiotes and S. molesta in increasing pH by 40.04% and reducing sulfate levels by 41.72%. The effectiveness of the combination of P. stratiotes and S. molesta in reducing levels of Mn and Fe were 101.36% and 93.49%, respectively. The decrease in TSS levels is better done by the combination of  P. stratiotes and S. Molesta vegetation compared to P. stratiotes or S. Molesta vegetation alone, but the better growth rate occurred in S. molesta vegetation only.
Experimental Investigation of a Uniaxial Dielectric Elastomer Generator
Authors: Sikora Wojciech
Published: August 2023

The widespread use of battery-powered electronic devices creates the need to develop methods to extend their maximum operating time. This can be achieved by using ambient energy, which would otherwise be dissipated. The conversion of energy, usually mechanical energy, into electric energy takes place in energy harvesters. Energy harvester systems based on a dielectric elastomer (DE) are a relatively new field that is being constantly developed. Due to their features, dielectric elastomer generators (DEGs) may complement the currently dominant piezoelectric harvesters. The major feature of employing a hyperelastic material is that it allows relatively large displacements to be utilised for generating energy, which is impossible in the case of piezoceramics. This article presents a DEG designed to operate under uniaxial tensile loads and which has a multilayer structure, describes the general operating principles of a DEG, explains the construction and assembly process of the investigated design and shows the electric circuit necessary to properly direct current flow during the DEG operation. The experimental part consists of two series of tests based on a central composite design (CCD). The objective of the first part was to map a capacitance response surface of the DEG in the selected range of the cyclic mechanical load. The second part concerned the amount of generated energy for the specific load case as a function of operating voltages. The result of the work is the formulation of regression models that allow the characteristics of the presented DEG design to be identified.
SIMULATION AND IMPROVEMENT OF SENSOR NETWORK OF ENERGY RESOURCES CONSUMPTION ACCOUNTING SYSTEM IN MICRODISTRICT
Authors:   Donbass State Engineering Academy, Razzhyvin Oleksii , Liuta Anastasiia ,   Donbass State Engineering Academ, Markov Oleg ,   Donbass State Engineering Academy, Kartamyshev Dmytro ,   Donbass State Engineering Academy, Miroshnichenko Victoria ,   LLC "Technical University "Metinvest Politechnika", Ilinskyi Mykhailo ,   Donbass State Engineering Academ
Published: August 2023

The research is aimed at the development of new algorithms for the selection of a main node and methods of placement of sensor nodes for the effective construction of wireless sensor networks (WSNs), therefore it is relevant.The analysis of the literature made it possible to establish that many scientists were engaged in the research of methods of building smart energy systems for a smart city management. However, the researchers did not analyze the potential and real threat of data transmission from energy consumption control sensors.The purpose of the research is to improve the accuracy of control and accounting of energy resources consumed by residents for the neighborhood using wireless sensor networks.The article analyzes the state of the art in the field of research on wireless sensor networks (WSNs), determines the most important characteristics and structure of WSNs in the organization of the automated system of control and accounting of energy resources (ASCOE). An analysis of the existing algorithms for routing, self-organization and selection of ta main node of the cluster in wireless sensor networks of sensors for controlling the consumption of energy parameters by the consumer was carried out. The duration of the network's life cycle, the period of stability and the bandwidth of the BSM was evaluated based on the ratio between the radius of coverage and the radius of the communication range.Studies have shown that the applied algorithm for selecting the main node of the cluster based on fuzzy logic using Voronoi diagrams significantly increases the life cycle of the sensor network compared to the LEACH and Fuzzy C-Means algorithms