bluuebunny/crossref_metadata_2025 huggingface dataset:
Active teaching strategies improve nursing knowledge and skills to assist burn victims
Authors: Meschial William Campo , Ciccheto Julia Rosa Matias , Lima Muriel Fernanda de , Menegaz Jouhanna do Carmo , Echevarría-Guanilo Maria Elena , Oliveira Magda Lúcia Félix de
Published: March 2021

ABSTRACT Objective: to evaluate the impact of an educational intervention, on nurses’ self-perception, about knowledge and skills for initial care for burn victims. Methods: a quasi-experimental study of the type before and after, with 18 nurses who assist burn victims. The intervention was carried out for 11 days in face-to-face meetings and online activities, and comprised active case-based learning strategies, simulation training, concept maps and digital portfolio. A structured instrument was used to collect sociodemographic data, and another one related to the knowledge and essential skills to the initial care for burn victims. Results: The average scores found before the intervention ranged from 2.78 to 3.33 and, after the intervention, they ranged from 3.89 to 4.72. Relevant statistical differences (p <0.005) were found in all questions addressed. Conclusion: this educational intervention, based on innovative teaching methods, showed a positive impact on nurses’ knowledge and skills on initial care for people with burns.
Mobile application of the Terminology Subset for Coping with Domestic Violence Against Children
Authors: Silva Mylene Gomes da , Sakata-So Karen Namie , Pereira Érica Gomes , Egry Emiko Yoshikawa
Published: March 2021

ABSTRACT Objective: to describe the development of a mobile application for the International Classification Terminology Subset for Nursing Practice for Coping with Domestic Violence Against Children. Methods: an applied research of technological development, based on the Analysis, Design, Development, Implementation and Evaluation model and on the terminological subset based on the Theory of Nursing Praxis Intervention in Collective Health framework. Results: the application is divided into: 1) “Definition”: characterizes the phenomenon of violence against children; 2) “Assistance”: electronic record of nursing care; 3) “Diagnosis Consultation”; 4) “Intervention Consultation”: nursing diagnoses, outcomes, and interventions related to children and their families, subdivided into Strengthening and Weariness group. Final considerations: built from scientific research, the application has the potential to support nursing care, presenting, in an organized and systematic manner, nursing diagnoses, outcomes, and interventions, in addition to enabling the registration of cases under monitoring.
Influence of burnout syndrome on the quality of life of nursing professionals: quantitative study
Authors: Ribeiro Emelly Kerolayne do Amaral , Santos Renata Clemente dos , Araújo-Monteiro Gleicy Karine Nascimento de , Brandão Bárbara Maria Lopes da Silva , Silva Jéssyka Chaves da , Souto Rafaella Queiroga
Published: March 2021

ABSTRACT Objective: To estimate the prevalence and factors associated with the burnout syndrome and quality of life among nursing professionals. Methods: Cross-sectional, analytical study, developed with 83 professionals in emergency care units in the city of Campina Grande-PB. A questionnaire was used to characterize the sample, the Maslach Burnout Inventory scale and the SF-36. Data was analyzed using descriptive and inferential statistics. Results: Most professionals showed low professional effectiveness (78.3; n=65), average depersonalization (53.0%; n=44) and average emotional exhaustion (55.4%; n=46). There was a statistical difference between the scores of the syndrome and the pain (p=0.03), vitality (p=0.04) and social aspect (p=0.03); significant correlation between the syndrome and vitality (p<0.001), mental health (p=0.01) and general quality of life (p=0.04). Conclusion: The burnout syndrome has an influence on the outcome of quality of life of nursing professionals, being more prevalent among professionals with older age, high income and among nurses.
Domestic violence: a Rodger’s evolutionist conceptual analysis
Authors: Bonamigo Victoria Grassi , Carvalho Deborah Ribeiro , Cubas Marcia Regina
Published: March 2021

ABSTRACT Objective: to analyze the concept of domestic violence based on its use in health sciences, humanities, and exact sciences according to Rodgers’ evolutionary model. Methods: this is a concept analysis based on Rodgers’ evolutionary conceptual model. Ninety-six articles were included in Portuguese, English, Spanish, and French, which had a definition of domestic violence, having identified the antecedents, attributes and consequences and produced a model case. Results: twenty-two attributes, ten antecedents and eight consequences were identified. Final considerations: from antecedents, attributes and consequences, it was possible to identify the connection between domestic violence and gender issues, especially patriarchal, being seen in a normalized way by society and causing consequences to the victims’ physical and psychological health.
Espectroscopia de fotoelétrons por Raios X:Conceitos físicos e os processos experimentais
Authors: Nascimento-Dias Bruno Leonardo do , Anjos Virgilio de Carvalho dos
Published: March 2021

A Natureza e os processos que envolvem partículas carregadas, como elétrons e prótons, são bastante estudados por alunos de ensino médio e em cursos de graduação. A técnica de Espectroscopia de Fotoelétrons por Raios X, por exemplo, é desenvolvida a partir de fenômenos físicos de interação de fótons e a matéria. Esta técnica analítica é cada vez mais utilizada na caracterização de rochas terrestres, em missões espaciais à Marte, tal como em análises de meteoritos. Dessa maneira, o objetivo deste trabalho é apresentar de forma sintetizada e simples os conceitos da Espectroscopia de Fotoelétrons por Raios X. Assim, não faz parte da proposta ter um aprofundamento detalhado da técnica, sendo que para maiores especificidades, os leitores poderão obter através de materiais complementares e com assistências de técnicos mais especializados no equipamento que for de seu interesse. Por fim, será apresentado alguns espectros obtidos através da utilização da técnica em um meteorito marciano e explicado de forma sucinta os resultados. Espera-se com isto, que este venha servir de material inicial e de apoio para estudantes que estejam começando a desenvolver interesses científicos e estejam procurando técnicas alternativas para suas pesquisas, tal como a conexão entre conceitos físicos e sua aplicabilidade.
A mulher no Facebook: uma análise a partir do Sexismo Ambivalente
Authors: Alves Natalia Fernandes Teixeira , Souza Luana Elayne Cunha de , Maia Luciana Maria , Silva Rafaelly Naira da , Gomes Ágatha Aila Amábili de Meneses
Published: March 2021

Resumo O sexismo, compreendido como atitudes negativas contra as mulheres, pode ser manifestado sob uma forma hostil ou benevolente. A partir disso, realizou-se uma pesquisa qualitativa, do tipo exploratória, de caráter documental, que teve como objetivo analisar conteúdos sexistas em páginas do Facebook dirigidas ao público masculino. Fez-se uma análise de conteúdo das postagens selecionadas tendo como referência a Teoria do Sexismo Ambivalente. Os resultados indicaram que o sexismo hostil ainda é fortemente compartilhado, evidenciado por postagens que tentam controlar o comportamento, depreciar a capacidade e objetificar o corpo da mulher. Expressões do sexismo benevolente também foram identificadas, com a especificidade de que são formas facilmente propagadas devido ao caráter aparentemente positivo, velado por um discurso de cuidado, proteção e humor. Tais resultados mostram que o sexismo mantém-se e segue difícil de ser combatido, uma vez que não é facilmente percebido pela sociedade.
Novas formas de visibilidade: representações de gênero e raça no audiovisual em Goiás
Authors: Ferreira Ceiça , Carvalho Clarissa
Published: March 2021

Resumo Embora no cinema brasileiro ainda predomine um ponto de vista branco e masculino, da produção de curtas-metragens em contextos regionais tem surgido diferentes vozes e perspectivas. Exemplo disso é a atuação de três jovens cineastas negros em Goiás: Vanessa Goveia, Tothi Cardoso e Raphael Gustavo da Silva e seus respectivos curtas (Viúva Negra, A Câmera de João e A Piscina de Caíque), a partir dos quais investigamos a intersecção de gênero e raça no audiovisual goiano. Com base no contexto de produção e na metodologia de análise fílmica, identificamos novas formas de visibilidade negra nas telas e atrás das câmeras.
“Isto não é um filme” de Jafar Panahi: a denúncia contra censura pela metanarrativa
Authors: Garcia Pedro Piccoli , Piccinin Fabiana Quatrin
Published: March 2021

Resumo O artigo discute a estética do cinema de Jafar Panahi que, proibido de fazer filmes, adota a metanarrativa como estratégia de linguagem e de denúncia do sistema político. Objetiva-se, assim, refletir sobre o cinema que radicaliza o tensionamento das fronteiras entre ficção e não ficção, tanto como forma de denunciar a injustiça da qual o autor é vítima, quanto para problematizar os limites da narrativa cinematográfica. Toma-se, para tanto, o filme “Isto Não É Um Filme” (2010), entendendo como uma produção característica das narrativas pós-modernas, marcada pela oferta de sentidos que promete o acesso ao real tanto quanto possível, buscando romper com o tradicional escamoteamento das marcas de enunciação do cinema, ao voltar-se a si mesmo, incorporando os bastidores à trama principal. São analisadas sequências do filme a partir de categorias resultantes de padrões repetição: a) a câmera como elemento intradigético e metanarrativo; b) o mise en abyme, c) O realizador como personagem.
DISCUSSÕES E TENDÊNCIAS DAS TESES E DISSERTAÇÕES SOBRE FORMAÇÃO DE PROFESSORES DE CIÊNCIAS EM ESPAÇOS NÃO FORMAIS: UMA REVISÃO BIBLIOGRÁFICA SISTEMÁTICA
Authors: Coelho Yuri Cavaleiro de Macêdo , Oliveira Endell Menezes de , Almeida Ana Cristina Pimentel Carneiro de
Published: March 2021

RESUMO: Este estudo buscou investigar como os Programas de Pós-Graduação brasileiros têm estruturado suas pesquisas, teses e dissertações, sobre formação de professores de Ciências em Espaços Não Formais (ENF), além das principais discussões sobre esta temática. Metodologicamente, realizou-se uma revisão sistemática de teses e dissertações encontradas na base de dados da Biblioteca Digital (BDTD), utilizando a Análise Textual Discursiva para análise do corpus. Constatou-se que os trabalhos selecionados investigam a ação/formação em ENF de licenciandos, bem como a natureza e/ou reflexos de cursos de formação continuada. Verificou-se que muitas formações implementadas em ENF são curtas, descontínuas, mais informativas/instrutivas do que reflexivas e excluem os professores do planejamento. Nesse contexto, acredita-se que a formação de professores em ENF se consolidará apenas com o fortalecimento da aliança entre Universidade, Escola e ENF.
ANÁLISE DE ASPECTOS DE NATUREZA DA CIÊNCIA EXPRESSOS POR UMA PROFESSORA EM FORMAÇÃO INICIAL NO CONTEXTO DE UMA DISCIPLINA DE HISTÓRIA DA QUÍMICA
Authors: Lima Marcondes Medeiros de , Ibraim Stefannie de Sá , Santos Monique
Published: March 2021

RESUMO: Pesquisadores têm ressaltado a necessidade de professores desenvolverem seus conhecimentos de Natureza da Ciência. Diante disso, investigamos as visões sobre Ciências de uma professora em formação inicial, para tal, identificamos e discutimos aspectos de Natureza da Ciência que foram expressos por ela em um ambiente de ensino-aprendizagem de história da química envolvendo explicitamente discussões sobre Ciências. Baseado em notas de campo e no portfólio redigido pela professora em formação, identificamos, utilizando o MoCEC v.2, a expressão de 23 aspectos de Natureza da Ciência relacionados ao contexto dos casos históricos discutidos na disciplina. Por fim, enfatizamos a necessidade de discussões sobre Ciências e sobre história da química permearem a formação inicial, visando o desenvolvimento e mobilização de conhecimentos pedagógicos de conteúdo, e discutimos as potencialidades e limitações do uso do MoCEC v.2 como ferramenta de análise.
PROCESSOS DE PRODUÇÃO DE EXPOSIÇÕES EM UM MUSEU DE CIÊNCIAS: O MAST COMO EXEMPLO
Authors: Dubrull Davi Saldanha , Deccache-Maia Eline
Published: March 2021

RESUMO: O presente artigo analisa os processos de produção de exposições, consideradas instrumento de educação e de comunicação dos museus. Para tanto, foram utilizadas como exemplo as exposições de uma das mais notórias instituições de divulgação da ciência do Brasil, o MAST. A partir da pesquisa qualitativa que envolveu a realização de entrevistas semiestruturadas, foi possível observar as diversas etapas e intencionalidades que fazem parte da produção de exposições, tendo os modelos de museu tradicional, emergente e de transição como parâmetros de análise. Os resultados obtidos apontaram que os processos de produção de exposições do MAST estão em um momento de transição entre o modelo tradicional e o emergente.
A relação entre a mulher com diabetes e o seu corpo: o risco da diabulimia
Authors: Ribeiro Letícia Braga , Pieper Claudia Maurício , Frederico Giovana Andrade , Gamba Mônica Antar , Rosa Anderson da Silva
Published: March 2021

Resumo Objetivo compreender a relação que as mulheres com diabulimia têm com o corpo. Método pesquisa qualitativa, desenvolvida com o Método da História Oral Temática, com quatro mulheres entre 18 e 30 anos que autorreferiram diabulimia. Resultados a relação das mulheres com o seu corpo foi pautada pela pressão social de magreza feminina que distorce a autoimagem, gera insatisfação com o corpo e a diminuição da autoestima. A perda de peso é proporcionalmente associada ao aumento da aceitação social e justifica a utilização de métodos deletérios à saúde como a diminuição da dose ou a suspensão do uso de insulina. As narradoras demonstraram conhecer os riscos, mas admitiram repeti-la em determinados contextos. Considerações finais e implicações para a prática o desejo que as mulheres com Diabetes Mellitus têm de perder peso precisa ser incorporado às estratégias de cuidado com a atenção dos profissionais da saúde à subjetividade, atuando para reconhecer e prevenir os transtornos alimentares em mulheres com diabetes e minimizar a adoção de ações prejudiciais à saúde.
La visita domiciliara familiar: estrategia educativa en salud de niños y sus familias
Authors: Arango Liliana Adela Zuliani , Marriaga Gustavo Alfredo Ariza , Gómez Margarita María Gómez
Published: March 2021

La estrategia didáctica de la visita domiciliaria familiar se incluyó, desde el año 2001, en el curso Niñez I, ofrecido por la Sección de Pediatría Social, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia. Este estudio indagó por el significado que, las familias participantes del programa, dan a sus interacciones con docentes y estudiantes que asisten a la visita. Estudio cualitativo con enfoque desde el interaccionismo simbólico, llevado a cabo entre 2017 y 2019. Emergieron tres categorías: 1) emociones de la familia al momento del anunció de visita; 2) relaciona los significados de la visita, y 3) aprendizajes que la familia cree adquieren los estudiantes. Las familias expresaron satisfacción por interactuar con este equipo de salud en su propio espacio y manifestaron que interactuar les ayuda a constituirse en protagonistas de la crianza y en el acompañamiento del proceso salud-enfermedad.
Impasses e potências: o matriciamento como dispositivo de cuidado
Authors: Cohen Marina Chansky , Castanho Pablo
Published: March 2021

O objetivo deste artigo é apresentar e discutir parâmetros que otimizem o matriciamento em saúde mental como dispositivo de cuidado. Trata-se de estudo qualitativo, orientado pelas teorias psicanalíticas de grupo. Observamos, registramos e analisamos seis reuniões de matriciamento entre serviços especializados e Atenção Primária à Saúde (APS). As principais dificuldades encontradas se referiam a assegurar horários e espaços para as reuniões, bem como disparidades na compreensão sobre a tarefa. Em contrapartida, identificamos também momentos que evidenciam um cuidado mútuo, em sintonia com a literatura sobre as relações entre equipes e usuários. Concluímos destacando a importância do conhecimento sobre os processos psíquicos em jogo no grupo de profissionais, favorecendo, assim, maior clareza sobre sua tarefa e consequente engajamento dos participantes, potencializando o matriciamento como dispositivo de cuidado, tanto dos usuários do Sistema Único de Saúde (SUS) quanto dos profissionais.
Da Amazônia ao guia: os dilemas entre a alimentação quilombola e as recomendações do guia alimentar para a população brasileira
Authors: Corrêa Nádia Alinne , Silva Hilton P.
Published: March 2021

Resumo O objetivo deste trabalho é analisar se o hábito alimentar das famílias quilombolas paraenses segue as orientações do Guia Alimentar para a População Brasileira, publicado pelo Ministério da Saúde, em 2014. Foram realizadas entrevistas semiestruturadas nas comunidades de Santo Antônio (Concórdia do Pará, nordeste paraense) e São João (Salvaterra, ilha do Marajó) sob o protocolo CEP 060/07. Foram feitas análises do consumo e das preferências alimentares de acordo com o guia. Os resultados evidenciam: alto consumo de café adoçado, feijão, arroz e farinha; baixa participação de verduras, legumes e frutas na dieta dos entrevistados. Alimentos como pão, leite de vaca, macarrão, margarina e bolacha salgada são as formas comuns de diversificar os alimentos consumidos pelo grupo. Como fontes proteicas, destacam-se a carne vermelha - silvestre ou não -, o pescado, o charque, o frango e o ovo de galinha. São apresentadas algumas contradições do guia quando aplicado às comunidades. Apesar dos avanços do guia, conclui-se que o cumprimento das orientações para uma alimentação adequada e saudável nos grupos quilombolas da região amazônica enfrenta desafios. Guias alimentares são importantes para a saúde e a nutrição da população, porém precisam ser combinados com outros tipos de intervenções que respeitem a diversidade cultural do país.
El suicidio en disputa: aproximación crítica a la asociación entre suicidio y sexualidades no heteronormativas
Authors: Villa Edisson Orlando Orozco
Published: March 2021

Resumen El presente artículo tiene como objetivo problematizar la manera en cómo los grupos sociales con sexualidades no heteronormativas han sido asociados con el suicidio y las consecuencias de esta asociación en los ámbitos académicos y sociales. La justificación de esta reflexión consiste en indicar que esta vinculación tiene implicaciones más allá de las posiciones teóricas de los investigadores, reconociendo que la asociación produce efectos sobre cómo es significada socialmente la sexualidad. Para ello, el artículo se divide en cuatro apartados. En los dos primeros apartados se analiza la manera en que la noción de riesgo epidemiológico se convierte en un rasgo identitario en las poblaciones con sexualidades no heteronormativas. En el tercer apartado se propone una reflexión sobre la investigación académica acerca de la asociación entre género y suicidio. Y en el último apartado, se expone una propuesta de interpretación del comportamiento suicida desde la perspectiva de género que problematice el sentido afectivo y político de la asociación.
Behavior of CFA and H-section steel piles in lateral loading: experimental and numerical analysis
Authors: Sousa Alex Micael Dantas de , Costa Yuri Daniel Jatobá , Araujo Arthur Gomes Dantas de , Costa Carina Maia Lins
Published: March 2021

abstract: The behavior of continuous flight auger (CFA) piles and steel H-section piles to lateral loading is investigated using numerical analyses supported by field tests. A three-dimensional finite element numerical model to lateral load is presented. The numerical model was validated with the results of twelve lateral load tests performed on CFA and steel H-section piles installed in two deposits of sandy soils. The three-dimensional approach proposed in this study is in good agreement with the response observed with the field tests, and thus represents a reliable soil-pile interaction for laterally loaded piles in sandy soil. Parametric analyses were used to assess the influence of relevant variables to lateral soil-pile interaction. Major findings of this paper indicate that the ultimate lateral load of short rigid piles is considerably more influenced by changes in soil-pile relative stiffness than that of long flexible units. Pile diameter and soil-pile interface friction are found to exert a marked effect on the lateral load of CFA piles, while soil dilatancy is found to play a minor influence on the response of CFA piles.
Seismic analysis of reinforced concrete buildings with participating masonry infills
Authors: Alva Gerson Moacyr Sisniegas , Rigão Alessandro Onofre , Kaminski Junior João , Pinheiro Marco Antônio Silva
Published: March 2021

ABSTRACT In this paper, seismic analyses are performed of a reinforced concrete frame building with participating masonry walls are carried out. The spectral method of the Brazilian code – ABNT 15421:2006 – was used to obtain the lateral seismic loads. The equivalent diagonal-strut model was employed to simulate the axial stiffness of the masonry walls in the frames, according to different formulations founded in literature. The main purpose is to evaluate the differences implemented by the different formulations for the equivalent strut on the seismic response. This paper also aims at comparing results obtained when the masonry stiffness is not considered under seismic loads. The results obtained are analyzed with the purpose of providing contributions for structural engineers in the design of framed structure buildings with participating masonry walls subjected to seismic loads.
Numerical modelling of three-dimensional masonry arch bridge structures
Authors: Grosman Stanyslav , Bilbao Alejandro Barrero , Macorini Lorenzo , Izzuddin Bassam A.
Published: March 2021

A substantial part of the underline bridges that belong to the asset collection of the main railway and roadway infrastructure operators in the UK and Europe have the structural shape of arches, typically constructed from brick/stone masonry. Current assessment methods, which consider two-dimensional descriptions, do not enable an accurate representation of the typical three-dimensional response, and often they do not provide realistic predictions of the development of damage in the various components including arches, piers and spandrel walls. In this paper, two alternative 3D finite-element modelling strategies offering different balance between sophistication and computational efficiency are presented. The first approach is based on a detailed mesoscale masonry model, where a distinction is made between constituents allowing for an accurate description of masonry under various bond conditions. The second approach is based on a macroscale representation, where a homogeneous description of masonry is assumed. In both approaches, the interactions between the spandrel walls and the backfill and arches, as well as between the backfill and the arches’ extrados, are explicitly incorporated into the model. This interaction effect is investigated with the two approaches, and comparisons are made between the respective simulations to illustrate the relative benefits of mesoscale and macroscale modelling.
Clay–fly ash geopolymer characterisation and application for the removal of lead and zinc
Authors: Najafi Elmira Khaksar , Arabani Mahyar , Chenari Reza Jamshidi
Published: March 2021

This research aims to enhance the adsorption capacity of local clay using a fly-ash-based geopolymer representing active–passive liner materials. Clay–fly ash geopolymers were synthesised from mixtures containing 40, 50 and 60% fly ash to the total solid mass and then activated by 8, 10 and 12 M sodium hydroxide (NaOH) solutions. Batch experiments were conducted for the removal of lead (Pb), lead (II), and zinc (Zn), zinc (II), from leachate at an ambient temperature of 24°C after a 90 min contact time. Then, for the clay–fly ash geopolymer exhibiting the best adsorption capacity, the effects of contact time, initial concentration of solutes and curing time on its adsorption capacity were thoroughly studied. The best performance for the adsorption of lead (II) and zinc (II) occurred with the lowest percentage – that is, 60% – of clay in the synthesised geopolymers due to the diminished competitor ion concentration released by the alkali activation of clay. There, moreover, existed a notable correlation between the porosity and adsorption capacity of the adsorbents to develop the eminent adsorption of the heavy metals, particularly for lead (II) removal. The study of Langmuir and Freundlich isotherms also showed that the adsorption of lead (II) is described by homogeneous surfaces, while heterogeneous surfaces characterise zinc (II) removal. This refers to the different adsorption process for the removal of zinc (II).
Tacitus and C. Licinius Mucianus
Authors: Altman William Henry Furness
Published: March 2021

Resumo: Baseando-se nas ideias de Ronald Syme sobre a simpatia de Tácito por Marcelo Éprio, assim como no trabalho de Dylan Sailor, que revela a postura crítica do historiador em relação a Helvídio Prisco, este artigo mostra por que a descrição de Muciano é importante tanto para combinar quanto para confirmar essas duas vertentes interpretativas. Apresentado como “criador de reis” a Vespasiano, Muciano – ou melhor, o retrato que Tácito faz dele – revela-se um guia crucial, embora negligenciado, para os métodos e as simpatias do historiador cuja carreira dependia da Dinastia Flaviana e que decidiu contar seus feitos em suas Histórias.
Evaluation of an Initial Specimen Diversion Device (ISDD) on Rates of Blood Culture Contamination in the Emergency Department
Authors: Buzard Blake , Evans Patrick , Schroeder Todd
Published: March 2021

Introduction: Blood cultures are the gold standard for identifying bloodstream infections. The Clinical and Laboratory Standards Institute recommends a blood culture contamination rate of <3%. Contamination can lead to misdiagnosis, increased length of stay and hospital costs, unnecessary testing and antibiotic use. These reasons led to the development of initial specimen diversion devices (ISDD). The purpose of this study is to evaluate the impact of an initial specimen diversion device on rates of blood culture contamination in the emergency department. 
Methods: This was a retrospective, multi-site study including patients who had blood cultures drawn in an emergency department. February 2018 to April 2018, when an ISDD was not utilized, was compared with June 2019 to August 2019, a period where an ISDD was being used. The primary outcome was total blood culture contamination. Secondary outcomes were total hospital cost, hospital and intensive care unit length of stay, vancomycin days of use, vancomycin serum concentrations obtained, and repeat blood cultures obtained. 
Results: A statistically significant difference was found in blood culture contamination rates in the Pre-ISDD group vs the ISDD group (7.47% vs 2.59%, p<0.001). None of the secondary endpoints showed a statistically significant difference.
Conclusions: Implementation of an ISDD reduces blood culture contamination in a statistically significant manner. However, we were unable to capture any statistically significant differences in the secondary outcomes.
Time and Financial Costs for Students Participating in the National Residency Matching Program (the Match©): 2015 to 2020
Authors: Nilsen Kari , Walling Anne , Grothusen Jill , Irwin Gretchen , Meyer Mark , Unruh Greg
Published: March 2021

Purpose

The purpose of this study was to provide information to assist students, faculty, and staff in making critical career-determining decisions regarding the residency NRMP “Match©” process.

Method

A 47-item survey questionnaire was developed and piloted on a regional campus in 2015. The questionnaire also incorporated a request for comments about the interviewing experience and suggestions to improve the process. The questionnaire was distributed each year in late February to early March from 2016 to 2020, after rank lists had been submitted but before announcement of Match© results.

Results

The overall response rate was 86.1% (897/1042). Annual response rates ranged from 70.0% in 2020 to 97.0% in 2018. Respondents’ average age was 27.3 (± 2.7) years and 50.0% (448/897) were male. Most applied to family medicine (164/897: 18.2%) and internal medicine (140/897; 15.6%). Eight specialties had fewer than ten applicants over the six-year period. The number of students applying to individual specialties fluctuated, but no specialty showed a consistent upward or downward trend over the study period.

Conclusion

This study indicates a huge difference in numbers of applications, expenses, and days interviewing. Students crave more guidance, a more efficient system, transparent communication with programs, and less pressure during the process. Reducing the escalating volume of applications is central to improving to system. Despite efforts to better inform applicants, student behavior is unlikely to change until they feel safe in the belief that lower, more realistic numbers of applications, and interviews are likely to result in securing an appropriate residency position.
AN ADAPTIVE ALGORITHM BASED AUTHENTICATION SYSTEM FOR REAL-TIME BIOMETRIC TIME-ATTENDANCE SYSTEM
Authors: D. Mahesh Kumar, Aravinda H. S. Thejaswini P., Anu H.,
Published: March 2021

Biometric features are physical and biological characteristics that are unique to a person and can be used to accomplish authentication based on the particular modality. The main purpose of implementation of an Adaptive auto-correction technique for biometric time-attendance system is to improve the matching rate of fingerprint verification under the condition when fingerprint patterns vary due to environmental parameter like temperature. An Adaptive auto-correction technique is proposed which auto-corrects the reference fingerprint template at the time of genuine user rejection. The proposed technique is implemented on commercially available biometric device which uses Innovatrics, a standard commercially available extractor and matcher. Evaluation is carried out on 250 fingerprint templates of 10-users captured at varying temperature from 250C to 00C. The experimental analysis will be carried out to improve the recognition rate.
THE STUDY OF MOBILE CLOUD COMPUTING:DESIGN, USES, AND METHODS
Authors: Dr. G. Srinivasa Rao Prasanthi Gottumukkala,
Published: March 2021

Mobile cloud computing is potential skill for mobile devices and also grownup the demand for operational availability and openness. Few years back mobile devices are used only for voice calls and text messages purposes, after value added services possible to enabled anytime and anywhere. Mobile cloud computing incorporates the mixture of both mobile also cloud computing, and solve the performance linked problems. Could Computing (CC) is integrates with usually the mobile environment moreover overcomes problems connected to the presentation (forexample: Storagespace, Bandwidth and life time of the Battery), and Environment(Accessibility, Scalability and Heterogeneity), Security. The businesses and information technology organizations and additional consumers can take the necessary facilities & properties after cloud rapidly, effortlessly and also reasonable charges.Discussed this paper on survey Mobile cloud computing which helps forresearcher’s mccdesign, methods and also uses. Problems occurred in mcc and present resolutions and methodologies used to resolve problems. For further extension of this is giving instructions to mobile cloud computing research.
A NEURAL NETWORK BASED SMART BUILDING MONITORING SYSTEM USING WIRELESS SENSOR NETWORK
Authors: Dr. Soundara Rajan Pradeep K G M , Dr. S. VENKATESAN,
Published: March 2021

A Smart building monitoring System uses Sensors like temperature Sensor, humidity sensor, motion / occupancy Sensor, contact sensor, Gas/air quality Sensor, Strain Sensor, electrical current monitoring Sensor etc for monitoring an environmental factors and to control devices such as air conditioner, ventilator, alarm, Security grand system etc using sensor information. Our proposed system uses effective neural network to gather information from different Sensor and consolidate it by Information Isolation Node (IIN) and send to sink node The Sink node sends information. to cloud where remote monitoring is done and it also receives Control information from cloud and operates different equipments of building. For efficient implementation only needed information are sent to cloud and necessary action are taken by remote system based on consolidated information sent by Information Isolation Node (IN) through Sink node The Sink node sends information to cloud where remote monitoring is done and it also receives Control information from cloud and operates different equipments of building.
NUMERICAL SIMULATION OF DENGUE FEVER (SIR MODEL) USING DIFFERENTIAL TRANSFORM METHOD, MULTI-STEP DIFFERENTIAL TRANSFORM METHOD AND RK4 METHOD
Authors: Tuteja Gurpreet Singh
Published: March 2021

This study investigates the application of the differential transformation method(DTM), multi-step differential transform method(MsDTM) with step-size and RK4 method (Mathematica) for finding the numerical solution of the SIR model of dengue fever in epidemiology. This model is a system of non-linear ordinary differential equations that have no analytic solution. Both the methods DTM and MsDTM are applied directly without any linearization, perturbation or discretization in the model equations to obtain semi-analytic solutions. The accuracy of the MSDTM is excellent and comparable to the RK4 method of Mathematica.
DIGITAL REPRESENTATION TECHNIQUES FOR OLFACTORY FEATURES
Authors: Dipti D. Patil Dewanand A. Meshram,
Published: March 2021

Digital representation of odor has a basic principal of chemosensory organism of sensory molecules. A body organism responds to external odor environments. A body of animal/human perceives the odor in the form of molecule structure. But the questions still arises how that odor molecule is presented in the digital format. Also how it act a specific odor behavior. The mechanism used in animal/human body is to solve the problem as per thought process level. Thought process retrieve the stored molecule of odor in a visual smell. Similar concepts are carrying forward to store in a computer system with the help of electron. The system is applied to perform Machine-learned odor recognition from physico-chemical properties of volatile molecules. The properties of volatile molecules are to match the pattern of chemosensory organisms. Artificial intelligence is used to predict the molecule of smell by applying neural network. This paper focuses on the behavior of odors and its digital representation techniques for olfactory features.
ANALYSIS AND PREDICTION OF GREENHOUSE GAS EMISSION USING FEEDFORWARD NEURAL NETWORK
Authors: Dr. Vrushali Y. Kulkarni Pranali K. Kosamkar ,
Published: March 2021

Greenhouse Gas (GHG) emission is caused by decomposition of biomass and dead plant residues, livestock enteric fermentation in ruminants, and burning of crop residues. As the concentration of GHG rises it raises the temperature on the globe causing the Global Warming.  Alterations in agriculture management practices may reduce the GHG emission.  Therefore, there is a need to analyze and forecast the GHG emission from Agriculture. We have built the Feedforward Neural Network using sequential neural network in keras for predicting CO2 and CH4 emission for Onion crop from open farm and poly house. We selected Onion for our study because Onion is one of the second most important commercial crops of the India. The GHG emission may vary in open farm and poly house for onion crop because the environment is controlled in poly house as compared to open farm. For this study we collected the field data of soil attributes, climatic attributes and CO2, CH4 greenhouse gases from the experiment field. We hyper tune the model with 3, 4 and 5 layers with different epoch. We have used Root mean squared error (RMSE), Mean squared error (MSE) and R-square as a coefficient of correlation for model prediction accuracy. Model predicted that Nitrogen, Moisture, Pressure, Humidity and Temperature are major affecting factors for emission of GHG for onion crop from open farm and poly house. The model indicates good prediction response for GHG emission with major influencing attribute for onion crop.
COMPARATIVE ANALYSIS OF DEEP LEARNING ARCHITECTURES FOR GRAPE CLUSTER INSTANCE SEGMENTATION
Authors: Dr. Parul Jadhav Ms. Dhanashree  Barbole,
Published: March 2021

The grape cluster identification and its segmentation for the sake of total weight prediction task of wine yard shows the need of segmentation atomization with better accuracy. The challenge of grape cluster segmentation is considered to provide solution using deep neural network models such as YOLO v3, Mask RCNN, U-net. This paper contributes in terms of the modified U-net model for the segmentation of grape clusters using training and testing strategy for the validation of the results. The results are obtained for the accuracy of the classification of pixels as part of grape cluster or outside of clusters and comparative results show improvement in segmentation using modified U-net. The accuracy, precision and recall analysis is performed and comparatively proposed model shows better results
Control and Coordination of Self-Adaptive Traffic Signal Using Deep Reinforcement Learning
Authors: Prof. C.Y. Patil Pallavi Mandhare, Dr. Jyoti Yadav, Prof. Vilas Kharat,
Published: March 2021

The most observable obstacle to sustainable mobility is traffic congestions. These congestions cannot effectively be fixed by traditional control of traffic signals. Safe and smooth movement of traffic is ensured by a self-controlled traffic signal. As such, to coordinate the traffic flow it is necessary to implement dynamic traffic signal subsequences. Primarily, Traffic Signal Controllers (TSC) provides sophisticated control and coordination of vehicles. The control and coordination of traffic signal control systems can be effectively achieved by implementing the Deep Reinforcement Learning (DRL) approaches.

The decision-making capabilities at intersections are improved by having variations of traffic signal timing using an adaptive TSC. Alternatively, the actual traffic demand is nothing but managing the traffic systems. It analyses the incoming number and type of vehicles and gives a real-time response at intersection geometrics and controls the traffic signals accordingly.

The proposed DRL algorithm observes traffic data and operates optimum management plans for the regulation of the traffic flow. Furthermore, an existing traffic simulator is used to help provide a realistic environment to support the proposed algorithm.
BIG DATA SECURITY ENHANCEMENT BASED INTRUSION DETECTION SYSTEM USING K-MEAN CLUSTERING OF DECOMPOSITED FEATURES
Authors: Suman Kumar Swarnkar Virendra Kumar Swarnkar, Dr Asha Ambhaikar,
Published: March 2021

The protection of networked information systems is a critical problem impacting individuals, companies and governments. The number of attacks against networked networks has risen significantly and the methods used by the attacker are continuing to develop. Intrusion prevention is one method to avoid these threats from happening. A popular approach to creating an IDS system is by machine learning. The efficiency of the IDS is currently increased when discriminative and representative features are taken. AE and PCA are used to minimise dimensionality of features (PCA). The attribute extraction techniques employed are then used to construct an RF classification technique with K-Mean Cluster. This research effort will reduce the features of dataset "CICIDs" from 79 to 45, while retaining a high accuracy of 99.7% in Random Forest classifier with k-means clustering.
RECRUITMENT PROCESS IN NIGERIA PUBLIC SECTOR: LITERATURE REVIEW
Authors: Chijioke NWACHUKWU Isaiah OBOH, Hieu Minh VU,
Published: March 2021

Lack of objectivity in the recruitment process could hamper viability, trust, and ease of doing business with the Nigerian public sector. This paper reviews literature on recruitment process and performance, particularly in the public sector. While empirical studies have revealed that, proper recruitment process can lead to the hiring of skilled employees and increase the performance of both employee and the organization. We observe that there are few empirically studies on the subject in the Nigerian public sector. The authors recommend that politicians, business leaders, religious and other elites, should allow, departments, agencies saddle with the responsibility of recruitment to do their job without internal or external interference.
ASSESSMENT OF THE ENVIRONMENTAL PERFORMANCE OF FACTORIES IN THE TREATMENT OF EMISSIONS AND RESIDUES OF PRODUCTION IN SAUDI ARABIA
Authors: AL-Ajlouni Mahmoud Mohammad
Published: March 2021

Millions of tons of waste are generated in the Kingdom every year from residential, commercial, and industrial sectors. Rapid industrialization in Saudi Arabia has resulted in the creation of an ecosystem that is far away from the conceptualized “green ecosystem”. The resultant production of industrial wastes and the continuous burning of fossil fuels have generated pollutants in the solid, liquid, and gaseous forms, which are proving as a prominent burden on the environment leading to pollution in all forms. An intelligent approach to recycle, reuse, follow the “waste to wealth” approach for producing energy, and educate the human resources to follow green approach may be a probable solution to curb the problem in the present scenario. Therefore, the review provides insights related to the type of industrial wastes produced, the potential approaches for mitigating the emissions, and residues of production in Saudi Arabia along with the involvement of human resources employed in the industrial sectors to achieve a greener ecosystem.
An Effectual Data Transmission Approach to Prevent Black Hole Attack in Mobile Adhoc Networks
Authors: Selvavinayaki Dr. K.
Published: March 2021

The dynamic nature of infrastructure in MANET makes security as a critical issue. Due to mobility of nodes, network is easily affected by several types of attacks. In particular black hole attack cause packet dropping, misrouting the information from source to destination. To prevent a network from the effects of the black hole attack, we propose a most reliable data transfer scheme to detect the black hole nodes in the network and ensure the availability, reliability, confidentiality of the information.  First, the proposed scheme detects the black hole node using trust active and node recommendation values. Second, the reliability and confidentiality of the information is achieved by using verifiable secret sharing scheme. The proposed algorithm is implemented on AOMDV protocol. The simulation results show the proposed algorithm achieves the better packet delivery ratio, misbehavior detection efficiency, fewer packets overhead and low end to end delay than the existing schemes.
A HYBRID OUTLIER DETECTION APPROACH WITH MULTI DIMENSIONAL FEATURES TO PREVENT BLACK HOLE ATTACK IN MANET
Authors: Dr. T. Abdul Razak, Dr. Murugan R. Ibrahim Salim M.,
Published: March 2021

An increase in the technological upgrades in the mobile communication technology has led to the tremendous increase in the usage of mobile networks. Mobile Adhoc Network is an instantaneous network where the requirement of the infrastructure is not mandatory. This feature has raised a lot of issues in the security aspects of the MANET. The mobility of the nodes, frequent topological changes, weak communication link and lack of infrastructure are the critical factors creating security issues in MANET. The security issues leads to lot of routing attacks, which disturbs the network communication and completely collapse the system. One such attack is the black hole attack. The AODV routing protocol is more vulnerable to the black hole attack. This paper proposes an efficient approach based on outlier detection techniques to detect and prevent the black hole attack in MANET. The results have been simulated using the NS2 simulator and performance of the algorithm has been evaluated based on various performance metrics like packet delivery ratio, routing overhead, detection efficiency ratio and end to end delay time .
AN EFFICIENT FOG ENABLED HEALTHCARE MAINTENANCE SYSTEM USING INTERNET OF THINGS WITH DEEP LEARNING STRATEGIES
Authors: R. Krishnaveni G. S. Gunanidhi,
Published: March 2021

Internet of Things (IoT) is the ruling term now-a-days, in which it attracts several smart gadgets and application due to its robust nature and support. In healthcare industry several new technologies are required to improve the stability and provide transparent services to clients. The integration of healthcare maintenance system with respect to Internet of Things support leads to a drastic change in healthcare field as well as this provision provides huge advantages to users. This paper is intended to provide an intense healthcare maintenance scheme by using latest technologies such as Deep Learning, Internet of Things, Fog Computing and Artificial Intelligence. All these innovations are associated together to build a new deep learning strategy called Intense Health Analyzing Scheme (IHAS), in which this proposed approach provides all provisions to clients such as Doctors and Patients with respect to monitor the patient details from anywhere at anytime without any range boundaries. The Fog Computing is an innovative domain, in which it provides ability to the server to operate based on hurdle free processing logic. Artificial Intelligence logic is used to manipulate the health data based on previously trained health records, so that the predictions are more fine compare to the classical healthcare schemes. In traditional schemes it is difficult to raise an alert based on the emergency situation predictions, but in the proposed deep learning strategy assists the proposed approach to send an alert instantly if any emergency cases occurred on patient end. Generally the Fog Servers are used to reduce the occupancy of the storage server and provide reliable storage abilities to server, but in this proposed approach, the fog server is utilized for priority wise data handling nature and stores the health records accordingly. In this nature, the fog servers are handled and provide high efficient results to the clients in an innovative way. With the help of deep learning procedures, the health records are clearly prioritized and maintained into the server end for monitoring. For all this paper introduced a new logic of healthcare maintenance scheme IHAS to provide efficient support to patients as well as doctors in clear manner.
AN INDIVIDUAL LEVEL ANALYSIS OF PSYCHOLOGICAL CAPITAL IN COMBATING OCCUPATIONAL STRESS AT EDUCATIONAL INSTITUTION IN JAIPUR
Authors: Et al. Mr. Prateek Jain
Published: March 2021

In India, a major part of the population does not have access to modern kind of teaching services. The main reason for this financial exclusion in India is the lack of regular or substantial income, excessive documentation for loans & opening of accounts, lack of proximity of the financial institutions, high transportation cost & loss of daily wage.  Every person has a working life time period of about 35 years, normally between 25 to 65 years of age. In Indian Scenario of competitive market, over population and scarcity of good jobs, run on the theory of ‘Survival of the Fittest’, No profession is stress free. This has highlighted the fact that how much costs is associated with stress in the workplace and claims for psychological injury are spiraling. As a result, stress and workplace health have become major issues of great concern over the last decade, both internationally and nationally. 

The purpose of this study was to synthesize the vast array of literature that exists on the topic of work stress and draw some relevant conclusions regarding to it.    The review also aimed to identify areas where further research was necessary and the methodological flaws in existing research that needed to be addressed in this research. To fully understand the phenomenon of work