bluuebunny/crossref_metadata_2025 huggingface dataset:
Carnivore Diet and Athletic Performance: A Case Study Analysis
Authors: Romano Victor , Bowser Susan , Cloutier Emy
Published: June 2024

Introduction: The carnivore diet, also known as the all-meat diet, has gained popularity in recent years among athletes and fitness enthusiasts. In this case study, we examined the potential impact of the carnivore diet on athletic performance and recovery.
Methods:  We observed and obtained data on an 18-year-old female NCAA Division II athlete who had begun the diet one month prior to the start of the soccer season. A total of 22 game sessions over 13 weeks were observed and recorded, collecting TRIMP, average game heart rate, and GPS data (miles, work rate, top speed). Due to the findings of the data, halfway into the season a registered dietitian (RD) intervened to suggest the addition of ~16g carbohydrates pre-game and ~6-10g carbohydrates post-game.
Results:  Before the intervention, the athlete measured an average of 240.82 TRIMP compared to the team’s average of 205.20 with the same GPS distance load as her counterparts (p=0.03). After the RD intervention, of consuming ~16g of fruit closer to game time, the athlete’s number of effect and intensity score changed to be comparable to the rest of the team 208.60 vs. 228.81, increasing the p-value out of significance (p=0.37).
Conclusions: While several factors contribute to high performance, data show that the addition of carbohydrate consumption close to game time in this particular athlete increased performance indicators (TRIMP and GPS Work Rate) for the student athlete.
Las Concepciones Epistemológicas y la Enseñanza de la Investigación Científica: Un Estudio desde la Experiencia Vivida por los Docentes de la UPNFM
Authors: Pineda Reyes Guillermo Arnoldo , Bulnes García Paola Carolina , Baide Pérez David Antonio
Published: June 2024

La presente investigación tuvo como propósito analizar las concepciones epistemológicas de los docentes que imparten espacios formativos en investigación de tres Centros Universitarios Regionales de la Universidad Pedagógica Nacional Francisco Morazán. Además, describir la forma en que estas concepciones orientan la enseñanza de la investigación científica. El enfoque de investigación es mixto. Para la recolección de información se implementó el cuestionario y la entrevista fenomenológica, aplicados a tres grupos de docentes participantes. Los resultados indican que los docentes han construido diversas concepciones epistemológicas en su formación profesional, entre ellas se destaca: la postura positivista tradicional y el constructivismo social, ambas concepciones se ven reflejadas en sus prácticas de enseñanza. Asimismo, en los relatos de experiencia vivida, se reflejó de forma recurrente el desafío de enseñar los fundamentos básicos de la investigación, mejorar la redacción académica y la actitud de los estudiantes frente a la investigación.
Educación y Ciudadanía: el Aprendizaje-Servicio para la Construcción de Ciudadanía
Authors: Fernández Tapia Joselito
Published: June 2024

El objetivo del artículo es analizar el aprendizaje-servicio (ApS) como enfoque educativo y replantearlo como metodología para la construcción de ciudadanía y el desarrollo humano, con el fin de proponer dos rutas metodológicas que faciliten el aprendizaje para la ciudadanía (ApC). Se encuentra que el ApS tiene bases teórico-metodológicas que pueden reorientarse a la construcción de ciudadanía, haciendo del alumno sujeto y agente de transformación de sí mismo y de la sociedad, porque ha integrado la dimensión curricular y social, la escuela con la comunidad. Sin embargo, en la práctica educativa actual se mantiene el aprendizaje receptivo, conductista o cognitivista, frente a lo cual se plantea el ApC, con dos rutas metodológicas de ApS: llevando a la escuela la comunidad o viceversa. Se concluye que el ApC es un enfoque-proceso transformador que prepara para la vida, promueve la educación integral y propicia el cambio social. Su propósito es la construcción de la ciudadanía para el desarrollo humano integral y su metodología es el ApS.
La Relación entre Investigación y Lectura Crítica y su Aplicación en el Aprendizaje Escolar
Authors: Caballero Cervantes Naileth Patricia
Published: June 2024

El desarrollo de habilidades de investigación y lectura crítica, en el ámbito escolar, es esencial para preparar a los estudiantes en un mundo donde el acceso a la información es amplio y la capacidad de discernimiento es crucial. El presente ensayo expone una reflexión teórica para establecer la relación entre la metodología de investigación y la lectura crítica, y su aplicación en el aula de clase. Se inicia con la presentación de los desafíos que se pueden encontrar en el proceso de enseñanza aprendizaje de dichas variables y la importancia de las mismas, la relevancia de la pregunta en el proceso, y, posteriormente, se explica la importancia de los proyectos de investigación en el aula partiendo de estándares de aprendizaje. Finalmente, se llega a conclusiones sobre la conexión de la investigación y la lectura crítica como habilidades determinantes que se refuerzan mutuamente y la relevancia de las mismas para el fortalecimiento de competencias de los educandos.
Non-Asbestos Fiber Gasket Materials & Their Applications in Automobile Powertrain Sealing
Authors: Hu Weiting , Li Hong , Zhuang Jinfeng
Published: June 2024

Review
Non-Asbestos Fiber Gasket Materials & Their Applications in Automobile Powertrain Sealing

Weiting Hu 1,2, * , Hong Li 1,2, and Jinfeng Zhuang 1,2

1 China National Pulp and Paper Research Institute, Beijing 100102, China
2 SinoLight Fiber Composite Materials Co., Ltd., Beijing 100102, China
* Correspondence: sinogasket@hotmail.com
Received: 19 March 2024; Revised: 27 May 2024; Accepted: 19 June 2024; Published: 25 June 2024
 

Abstract: Non-asbestos fiber gasket material is a ternary composite mainly composed of fibers, rubber, and fillers. Due to the carcinogenic risks associated with asbestos fibers, research and development of non-asbestos materials have become increasingly active. The manufacturing technologies of non-asbestos gasket materials primarily include calendering and papermaking processes. These materials, especially the gasket made by the papermaking method, are mainly applied for sealing in engines, transmissions, and water pumps, playing a crucial role in improving emission standards, safety, and the sustainability of automobiles. The sealing mechanism and relevant properties of asbestos-free fiber gasket materials are also introduced in this article. In the future, there should be a focus on developing high-performance non-asbestos gasket materials to provide more efficient and highly cost-effective sealing solutions for the automotive industry.
Active Disturbance Rejection Control Using a Phase Optimized Extended State Observer for a Nanopositioner
Authors: Wei Wei , Xia Pengfei , Zuo Min
Published: June 2024

Review Active Disturbance Rejection Control Using a Phase Optimized Extended State Observer for a Nanopositioner Wei Wei 1, * , Pengfei Xia 2, and Min Zuo 3 1 School of Intelligent Engineering and Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China 2 School of Automation, Beihang University, Beijing 100191, China 3 School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China * Correspondence: weiweizdh@126.com Received: 5 April 2024; Revised: 9 June 2024; Accepted: 12 June 2024; Published: 28 June 2024   Abstract: A piezoelectric actuator is commonly utilized in nanopositioning for its stiffness, fast response, and ultrahigh precision. However, hysteresis in piezoelectric materials dramatically degrades system performance. By introducing a straightforward and effective modification to a classical extended state observer, a phase-optimized extended state observer is proposed to provide a phase-leading estimation of the generalized disturbance. Accordingly, a phase-optimized active disturbance rejection control is designed, and much more satisfied performance can be guaranteed. Convergence of the phase-optimized extended state observer and closed-loop stability of the phase-optimized active disturbance rejection control have been analyzed. Moreover, steady-state estimation error and phase-leading property have been proved. Advantages of the phase optimized active disturbance rejection control over the PI and the active disturbance rejection control are confirmed. Experimental results show that the phase-optimized active disturbance rejection control can achieve more desired disturbance rejection and motion tracking.
Pengaruh Disiplin dan Kompetensi Profesional Terhadap Kinerja Guru di Pondok Pesantren Tarbiyah Islamiyah MTsN Purwakarta
Authors: Koniah Yani , Avianti Widiya
Published: June 2024

“Pesantren” or Boarding school is a non-profit educational institution that operates in the field of educational services. With increasing competition, not every school has to do good management to provide the best service, because otherwise, consumers or the public will easily find other institutions that are more profitable and promising. That requires management with the best management and fulfillment of discipline components, professional competence of a teacher and guaranteed teacher performance. The author has a research goal, first to find out how much discipline influence on the performance of teachers in Tarbiyah Islamiyah Boarding school MTsN Purwakarta. The research uses a quantitative approach with the type of descriptive and verification research, to determine the important relationship between the variables studied and to draw clear conclusions about the research. The sample in this study was a total of 30 people as respondents, justifying simple random sampling techniques. The data is obtained using a questionnaire spread of 30 (thirty) statements. And using data analysis techniques with double linear regression tests. The results of this study show that: (1) There is a significant influence of the discipline variable (X1) on the teacher performance variables (Y); (2) There is no significant effect between the Professional Competence variable(X2) and the Teacher Performance variables(Y).
Analisis Penerapan Strategi Pemasaran dalam Meningkatkan Jumlah Konsumen pada 3Second Jalan Jendral Sudirman Purwakarta
Authors: Suryana Didik , Amalia Dinda
Published: June 2024

The purpose of this research is to find out and understand the application of marketing strategies to increase the number of consumers at 3Second Family Store Jalan Jendral Sudirman Purwakarta. This study uses a triangulation method with a qualitative approach. The research location is located at 3Second Family Store Jalan Jendral Sudirman Purwakarta. The results of the study show that (1) the application of the market selection strategy at 3Second Family Store Jalan Jendral Sudirman Purwakarta is good enough in an effort to increase the number of consumers. (2) the implementation of the product planning strategy is quite good with the selection of quality standards but there are still things that must be considered and addressed to increase the number of consumers (3) pricing still encounters obstacles in increasing the number of consumers because prices do not match the layout of the place. (4) the implementation of the distribution system is good enough by providing offline stores and online stores that are easy to access in order to increase the number of consumers. (5) the implementation of very good marketing and promotional communications by utilizing social media has the potential to increase the number of consumers.
Analisis Pengelolaan Retribusi Pengujian Kendaraan Bermotor dalam Meningkatkan Pendapatan Asli Daerah pada Dishub Kabupaten Purwakarta
Authors: Saepudin Yosep , Amalia Dinda
Published: June 2024

Local Own Revenue (PAD) is income earned by the region which is collected based on regional regulations in accordance with statutory regulations. One alternative regional levy that contributes and can increase Regional Own Revenue is a motor vehicle testing fee. The formulation of the problem in this study is how to describe the management of motor vehicle testing fees, how to describe PAD at the Purwakarta Regency Transportation Service and how to manage motor vehicle testing fees in increasing PAD at the Purwakarta Regency Transportation Service. The informants in this study were carried out using purposive sampling, which is a determination technique with certain considerations. The data collection used is the method of observation, interviews, and documentation. While the collected data were analyzed using qualitative analysis methods, this study used a type of field research (Field Research), in which researchers made observations about a natural phenomenon or event, with the aim of knowing the management of motorized vehicle testing fees in increasing genuine income. area. Based on the analysis that has been carried out, the target and realization of motor vehicle testing fees, formally, target achievement has never been realized from 2019-2022. In the application of the functions of planning, organizing, directing and supervising are still not optimal.
Modeling and performance analysis of a 5MW grid-connected photovoltaic power plant in the hot region of in Salah, Algeria
Authors: Benattalah Mohammed , Bouzidi Mohammed , Ouaridhene Mohammed Abdelkader , Bitam Adel , Madi Housseyn
Published: June 2024

This research evaluates the performance of a 5MW grid-connected photovoltaic (PV) power plant located in the In Salah region of southern Algeria, utilizing PVsyst simulation software. Commissioned in 2016, the plant spans across 10 hectares and employs polycrystalline silicon (Si-poly) modules for its solar energy generation. Detailed meteorological data specific to the In Salah region's hot desert climate, including solar irradiation levels, temperature ranges, and other relevant parameters, were analyzed and incorporated into the simulation. The PVsyst modeling focused on accurately representing the PV system's configuration, energy production capabilities, potential losses, and overall performance ratio (PR).The annual simulation results revealed that the In Salah PV plant generated 7,603,339 kWh of energy over the course of a year. The PV array exhibited an efficiency of 12.67%, while the overall system achieved a performance ratio of 81.7%. A comprehensive loss diagram was constructed, identifying the major contributors to energy losses, such as temperature-related losses (7.6%), mismatch losses (2.1%), and inverter losses (5%). To assess the plant's performance in a broader context, the In Salah PV installation's PR was compared to other large-scale PV projects within Algeria and internationally. This comparative analysis highlighted that the In Salah plant's performance was average, influenced by factors such as the solar cell technology employed and the specific climatic conditions of the region.The study underscores the importance of utilizing simulation tools like PVsyst in the design and optimization phases of large-scale solar projects. Such simulations enable accurate evaluation of PV system performance under specific environmental conditions, while also identifying potential areas for efficiency improvement. This is particularly crucial for solar projects planned in hot regions, where the impact of high temperatures and other climatic factors on energy generation and system performance must be carefully considered.
Notes on unitary transformations and Rayleigh-Schrodinger perturbation theory
Authors: Azzi Ahmed , Sadallah Brahim , Beladel Brahim
Published: June 2024

Rayleigh-Schrödinger time-independent perturbation theory is a key method in quantum mechanics for solving problems where the Hamiltonian of a quantum system cannot be exactly solved. By expanding the solutions in series, this method allows one to obtain approximations for quantum states and eigen-energies, especially for systems where the interactions or perturbing forces are small compared to the principal part of the Hamiltonian. This is crucial for understanding complex phenomena, predicting the behaviours of atomic and molecular systems, and calculating corrections to basic theoretical models, thereby improving the accuracy of quantum predictions. In this work, we will show that using the unitary operators, we arrive at the equations giving the different order of corrections of both energy as well as wave functions of the time-independent perturbation theory. Our approach closely mirrors the famous formalism of Rayleigh-Schrodinger perturbation theory (RSPT). The use of unitary operators simplifies the derivation of higher-order corrections, making the process more accurate and accessible to researchers. This technique harnesses the potential of unitary operators within a perturbation series framework. By combining these two powerful techniques, we offer a comprehensive framework for addressing normalization challenges in quantum mechanical calculations. This methodology not only facilitates a deeper understanding of perturbation theory but also serves as a pedagogical stepping stone, encouraging postgraduate researchers to apply their foundational knowledge and acquired skills in practical problem-solving situations with confidence. This is therefore a second proof or a new method to derive the fundamental equations of Rayleigh Schrodinger perturbation Theory RSPT using the unitary transformations.
Estudo da viabilidade econômica de uma usina de reciclagem de RCC Classe-A para municípios de pequeno porte
Authors: Nicolau Maiara Fuzatti , Silva Eduardo Polloni , Moralles Herick Fernando , Marques Neto José da Costa
Published: June 2024

O setor da construção civil, em especial o segmento de edificações adota alguns processos construtivos semiartesanais que geram muitas perdas e desperdícios de insumos materiais. Por outro lado, boa parte dessas perdas pode ser enxergada nas sobras de materiais não reutilizáveis que acabam descartadas na forma de resíduos. Por essa razão, uma das alternativas para redução das quantidades de resíduos da construção civil (RCC) gerados em canteiros de obras é a produção de agregados reciclados a partir do processamento desses resíduos em usinas de reciclagem. Além disso, a disposição ilegal e o aumento da demanda por áreas de aterros de RCC Classe A resultaram na elaboração das Resoluções CONAMA e a NBR 15.114 (ABNT, 2004c) com diretrizes para a correta destinação dos resíduos e para o desenvolvimento da atividade de reciclagem de RCC no Brasil. Neste sentido, esta pesquisa teve como objetivo a realização de uma análise de viabilidade econômica sobre a implantação e operação de usinas de reciclagem de RCC classe A, em municípios de pequeno porte, com faixa populacional entre 10 e 100 mil habitantes. Para tanto, foram realizadas visitas técnicas com a proposição de projeto básico que resultou na apresentação de parâmetros técnicos e o levantamento dos custos do empreendimento. Além dos estudos de caso de três municípios reais, foram propostos mais cinco cenários que evidenciaram a necessidade de um volume mínimo para a viabilidade de implantação de uma usina de reciclagem de RCC, sendo o investimento viável em um município com o perfil populacional a partir de 48 mil habitantes, ou com uma produção de RCC acima de 67,20 toneladas/dia ou 8,40 toneladas/hora.
12ª DIRECVEST um sonho realizado: oportunizando melhorias no ensino de Física e demais componentes para o ENEM
Authors: Moura Tiago Martins , Moura Cristiane de Carvalho Ferreira Lima , Silva Maria Goretti , Celedonio Natália Rocha
Published: June 2024

Diante das dificuldades de aprendizagem dos alunos das escolas estaduais potiguares, agravada por adversidades socio econômica e cultural como a falta de professores e de condição financeira para frequentar curso preparatório para o Exame Nacional do Ensino Médio (Enem), além de estrutura precária em muitas escolas; como forma de reforço, a 12ª Diretoria Regional de Educação do Rio Grande do Norte (12ª DIREC) apoiada pelo Governo do Estado do Rio Grande do Norte por meio da Secretaria Estadual de Educação e Cultura (SEEC) idealizou o 12ª DIRECVEST, um curso presencial e gratuito preparatório para o Enem que utiliza metodologia contemporânea e não tradicional de ensino voltada para realização do Enem a fim de melhor a qualidade do ensino de Física e demais componentes para este exame. O objetivo deste artigo consiste em verificar, estatisticamente, o número de alunos, participantes deste projeto que foram aprovados em cursos universitários públicos e consequentemente a eficiência destas metodologias e iniciativa, além de mapear outros benefícios que possa aparecer no decorrer deste processo. O referencial teórico para o desenvolvimento da pesquisa foi legislações educacionais vigentes do sistema educacional brasileiro e estatística básica. Trata-se de uma pesquisa de natureza exploratória e qualitativa com metodologia alicerçada na análise documental cuidadosa dos registros dos estudantes matriculados neste projeto e aprovados em cursos universitários públicos. Os resultados e discussão revelaram que o 12ª DIRECVEST cumpre seu proposito e além, sendo percebido outros benefícios educacionais e sociais detalhado nesta seção. Espera-se que os achados desta pesquisa possam incentivar outras DIRECs e divulgar esta iniciativa, melhorando o ensino de Física e demais componentes além de fomentar a continuação do financiamento deste projeto.
Abordagens terapêuticas e desafios na neurocirurgia neonatal: revisão bibliográfica
Authors: Oliveira Carlos Walmyr de Mattos , Silva Sangia Feucht Freire Nasser Barbosa da , Lemos Bruna Ferreira , Ribeiro Júnior Francisco José Pascoal , Lucena Hérika Juliana de Araújo , Sousa Dayane Karen Carvalho de , Miklós João Paulo Ortiz , Dantas Eduarda Ribeiro da Silva , Machado Thamara Jesus , Barros Víctor César Vieira de Oliveira , Leite Rafaela Ezequiel , Jesus Allan Maia de , Dantas Raquel Yuska , Sampaio Pedro Henrique Cartaxo da Silva , Rodrigues Vinicio Ramalho
Published: June 2024

O tratamento das anormalidades estruturais e funcionais do sistema nervoso central (SNC) em neonatos apresenta desafios complexos para neurocirurgiões e neonatologistas, exigindo uma compreensão detalhada dos processos fisiopatológicos para estabelecer abordagens terapêuticas eficazes. Este estudo revisa as abordagens terapêuticas e os desafios encontrados na neurocirurgia neonatal, focando em condições como hidrocefalia, defeitos do tubo neural e cistos intracranianos. A revisão bibliográfica foi conduzida sistematicamente, utilizando bases de dados biomédicas como PubMed, Scopus e Google Scholar, sem restrição de idioma ou data de publicação. Os resultados destacam que a maioria das intervenções neurocirúrgicas em neonatos pode ser classificada em drenagem ou desvio de líquido, fechamento de aberturas, remoção de tecido e abertura de fusões. A hidrocefalia neonatal, frequentemente resultante de hemorragia intraventricular, foi a condição mais comumente tratada. A abordagem inicial inclui métodos menos invasivos, como punções lombares seriadas e derivações ventriculossubgaleais, progredindo para derivações ventriculoperitoneais (VP) quando necessário. Complicações como a obstrução do cateter devido a altas concentrações de proteína no líquido cerebrospinal são comuns, e abordagens alternativas como sistemas de drenagem externa são utilizadas. Cistos intracranianos, geralmente cistos aracnoides, frequentemente não necessitam de intervenção cirúrgica, a menos que causem sintomas significativos. Quando necessário, técnicas como fenestração endoscópica ou microcirurgia aberta são preferidas. Defeitos abertos do tubo neural, como mielomeningocele, exigem intervenção precoce para prevenir complicações neurológicas e respiratórias. A precisão cirúrgica é crucial para preservar estruturas neuroanatômicas e garantir desfechos positivos. A revisão conclui que uma abordagem interdisciplinar, fundamentada em uma compreensão abrangente da fisiopatologia neonatal, é essencial para otimizar os resultados na neurocirurgia neonatal. A inovação contínua e a pesquisa adicional são necessárias para aprimorar as técnicas e melhorar a qualidade do cuidado para recém-nascidos com distúrbios neurológicos.
Erosão dentária e seus fatores de risco associados: uma revisão de literatura
Authors: Silva Jênifer Rodrigues da , Oliveira Gabriela de , Araújo Eloá Lohane , Moscatel Matheus Bento Medeiros
Published: June 2024

A erosão dentária representa uma lesão não cariosa que resulta na perda progressiva e irreversível da estrutura dentária. Este fenômeno pode manifestar-se em qualquer faixa etária e, em geral, está associado a longos períodos de exposição a ácidos de origem não bacteriana. Ácidos intrínsecos, como os provenientes do refluxo gastroesofágico, e extrínsecos, como os derivados de certos comportamentos alimentares, desempenham papéis significativos nesse processo. O presente trabalho teve por objetivo discutir, por meio de uma revisão de literatura em base de dados digital, a respeito dos fatores de risco que podem vir a levar um paciente a ser acometido pela erosão dentária, além de discorrer a respeito de que sem conhecimento multidisciplinar ou olhar clínico adequados, um diagnóstico ou tratamento incorreto podem vir a ocorrer, uma vez que não será tratado o fator causador e por consequência possibilitando o agravamento desta alteração dentária. Durante a confecção do trabalho, foi possível observar uma maior possibilidade de acometimento da erosão dentária por meio de fatores de risco como a baixa concentração de saliva, o refluxo gastroesofágico, prática de atividades físicas intensas, idade dos dentes do indivíduo ou ainda a ingestão de bebidas ácidas, como a água gaseificada. Conclui-se que o diagnóstico correto das lesões de erosão dentária, associado ao reconhecimento dos fatores de risco, independentemente de uma ligação direta com a área odontológica, deve ser de responsabilidade do Cirurgião-Dentista. A identificação e manejo adequado dos fatores de risco são essenciais para prevenir complicações e promover a saúde bucal a longo prazo.
HUBUNGAN TINGKAT PENGETAHUAN PERAWAT DENGAN TINDAKAN PENCEGAHAN INFEKSI DAERAH OPERASI RUANG RAWAT INAP DI CHARITAS HOSPITAL BELITANG
Authors: Rini novitasari
Published: June 2024

Pengetahuan adalah banyak gejala yang ditemui dan diperoleh orang melalui pengamatan akal. Agar pelayanan keperawatan berkualitas, maka perawat diharapkan dapat menerapkan asuhan keperawatan dengan benar, sesuai dengan SPO yang berlaku khususnya terkait Pencegahan Infeksi daerah Operasi. Di Inggris, jumlah kejadian IDO sebesar 15,9. Di RS Mohammad Hoesin Sumatera Selatan, angka IDO pada 2019 adalah 0,01, tetapi naik menjadi 0,04 pada 2020. Penelitian ini bertujuan untuk mengetahui hubungan antara tingkat pengetahuan perawat dengan tindakan pencegahan infeksi daerah operasi dengan menggunakan metode penelitian deskriptif kuantitatif dengan korelasi.Penelitian dilakukan di ruang rawat inap bedah Charitas Hospital Belitang dengan jumlah responden 30 orang perawat  dengan tehnik pengumpulan data perposive sampling, dalam penelitian ini menggunakan instrumen kuesioner dan observasi yang di sesuaikan standar prosedur operasional di Charitas Hospital Belitang dan telah lulus uji validitas. Hasil penelitian dengan Analisa Bivariat adalah P-value 0.034 dengan artian bahwa terdapat hubungan positif dan kuat antara tingkat pengetahuan perawat dengan tindakan pencegahan infeksi daerah operasi rawat inap bedah di Charitas Hospital Belitang. Mayoritas pengetahuan perawat cukup dan tingkat kepatuhan perawat dalam melaksanakan tindakan dalam pencegahan infeksi daerah operasi khususnya pada pre operasi  masih kurang, dalam tingkat pengetahuan yang perlu di tindak lanjuti adalah terkait pengetahuan teori jenis-jenis infeksi, faktor penyebab infeksi yang meliputi long of stay dan tindakan kurang pada edukasi persiapan pasien operasi serta pengkajian tanda tanda infeksi secara holistik.Saran dari peneliti adalah agar pihak manajemen mengadakan pelatihan dan sosialisasi  terkait tindakan pencegahan infeksi daerah operasi, meningkatkan supervisi dan pendampingan bagi staf dalam implementasi asuhan pre operasi. Melaksanakan pelatihan dengan metode simulasi . Menjadikan lembar kuesioner dan lembar observasi sebagai tool untuk mengevaluasi staff terkait kepatuhan menjalankan regulasi ( SPO ) serta menilai tingkat pengetahuan perawat tentang pencegahan infeksi daerah operasi di ruang rawat inap bedah Charitas Hospital Belitang.
HUBUNGAN DUKUNGAN SOSIAL DENGAN PENCEGAHAN STUNTING PADA IBU BALITA
Authors: Nia Novita Sari  , Yesiana Dwi Wahyu Werdani
Published: June 2024

Pendahuluan: Salah satu penyebab dari kejadian stunting adalah karena kurang adanya dukungan sosial untuk pencegahan stunting. Tujuan penelitian ini mengidentifikasi adakah hubungan antara dukugan sosial dengan pencegahan stunting. Metode: Penelitian ini menggunakan desain penelitian korelasional dengan pendekatan cross-sectional. Variabel independen adalah dukungan sosial dan variabel dependen adalah pencegahan stunting. Teknik sampling yang digunakan adalah proportionate random sampling. Instrumen penelitian untuk variabel independen menggunakan kuesioner dukungan sosial dan variabel dependen menggunakan kuesioner pencegahan stunting. Uji hipotesis pada penelitian ini iji statistik Rank Spearman test. Hasil: Sebagian besar responden berada dalam kelompok dewasa awal yaitu di usia 26-35 tahun (40%), pekerjaan sebagai ibu rumah tangga (46,7%), pendidikan terakhir adalah SMP (40%). Sebagian besar juga responden tinggal dengan keluarga inti (60%) dan usia anak sebagian besar 2-3 tahun yang tergolong batita (40%). hasil pengukuran terhadap dukungan sosial pada Ibu Balita adalah pada kategori tinggi (83,3%) dan pencegahan stunting pada ibu balita adalah sudah baik (80%). Hasil analisis data menunjukkan bahwa dukungan sosial memiliki hubungan terhadap pencegahan stunting pada Ibu balita (p=0,000). Kesimpulan: dukungan sosial memiliki hubungan yang signifikan dengan pencegahan stunting.
Pengaruh Disiplin Kerja, Pelatihan Dan Lingkungan Keja Fisik Terhadap Kinerja Karyawan PT. XYZ
Authors: Arista Kumala Qotrun Nanda  , Maulidyah Amalina Riqzi  , Nur Cahyadi
Published: June 2024

This research aims to determine the work discipline, training and physical work environment at PT. XYZ. The object of this research is 84 employees of PT. XYZ, the method used in sampling is Saturated Sampling Method (All Populations are sampled). The data analysis technique uses multiple linear regression analysis. The results of multiple linear regression analysis prove that the work discipline, training and physical work environment have a significant effect on the performance of PT. XYZ.
PROSES PERPANJANGAN SERTIFIKAT SOLAS KESELAMATAN KONSTRUKSI,PERLENGKAPAN DAN RADIO KM. ISA VICTORY PADA PT. GEMALINDO SHIPPING CABANG DUMAI
Authors: Ginting Dafid , Taruna Taruna , Marbun Yepta Vianus , Suntoro Renza
Published: June 2024

Untuk mengetahui lebih dekat bagaimana perusahaan pelayaran PT. Gemalindo Shipping dalam perpanjangan sertifikat keselamatan konstruksi, perlengkapan dan radio. PT Gemalindo Shipping Cabang Dumai adalah Perusahaan pelayaran dalam bidang keagenan salah satunya yaitu untuk membantu pengurusan sertifikat keselamatan konstruksi, sertifikat keselamatan perlengkapan kapal dan sertifikat keselamatan radio yang telah expired dan akan diperpanjang. Pengurusan sertifikat kapal sangat berpengaruh peranannya untuk pengurusan kedatangan dan keberangkatan kapal, maka dari itu untuk mencegah terjadinya hambatan-hambatan yang berpengaruh terhadap kedatangan dan keberangkatan kapal, perlu adanya informasi dan koordinasi antara pihak keagenan kapal dengan instansi-instansi terkait dalam kelancaran suatu Proses Perpanjangan Sertifikat keselamatan kapal. Makalah ini bertujuan untuk memberikan gambaran khususnya pada kegiatan – kegiatan  instansi pemerintah yang berhubungan dengan proses perpanjangan sertifikat kapal di Pelabuhan Dumai. Adapun acuan dari penyusunan penelitian ini, penulis melihat pada peraturan perundang-undangan yang ada pada : UU No 17 Tahun 2008 Tentang Perpanjangan Sertifikat-sertifikat Kapal, Peraturan Menteri Perhubungan No 13 Tahun 2012, dan Data-data pendukung laiinya.
On Some Topological Spaces Based On Symbolic n-Plithogenic Intervals
Authors:   Department of Mathematics, Faculty of Science and Information Technology, Jadara University, P.O. Box 733, Irbid 21110, Jordan, Raed Raed ,   Department of Mathematics, Faculty of Science and Information Technology, Jadara University, P.O. Box 733, Irbid 21110, Jordan, Hazaymeh Ayman
Published: June 2024

In this paper, we present the topological space of intervals based symbolic m-plithogenic real numbers of orders between 2 and 5, where we clarify how m-plithogenic real intervals can be expressed according to the symbolic plithogenic partial order relation, and we use these intervals to build a topological space. On the other hand, many illustrated and related examples on open and closed sets will be provided to explain the validity of our approach.
Automated Credit Card Risk Assessment using Fuzzy Parameterized Neutrosophic Hypersoft Expert Set
Authors:   Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia, admin admin ,   Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia, Musa Abdalla I. Abdalla
Published: June 2024

In the financial industry, financial fraud is an ever-evolving risk with extreme consequences. Data mining has been instrumental in the recognition of credit card fraud (CCF) during online transactions. CCF recognition, which is a data mining problem, become a challenge owing to its two main reasons - firstly, the profiles of fraudulent and normal behaviors modify continually and then, CCF dataset is extremely lopsided. The implementation of fraud recognition in credit card transactions is tremendously influenced by the sampling methodology on data, detection approach and variable selection utilized. The conception of the neutrosophic hypersoft set (NHSS) is a parameterized family that handles the sub-attributes of the parameter and is an appropriate extension of the NHSS to correctly evaluate the uncertainty, deficiencies, and anxiety in decision-making. In comparison to previous research, NHSS can accommodate additional uncertainty, which is the crucial approach to describe fuzzy datasets in the decision-making algorithm. This study introduces an Automated Credit Card Risk Assessment using Fuzzy Parameterized Neutrosophic Hypersoft Expert Set (ACCRA-FPNHES) technique. In the ACCRA-FPNHES technique, a three-step process is involved. As a primary step, the ACCRA-FPNHES technique designs sparrow search algorithm (SSA) for choosing features. In the second step, the detection of CCF takes place using FPNHES technique. Finally, in the third step, the parameters related to the FPNHES technique can be adjusted by arithmetic optimization algorithm (AOA). The simulation validation of the ACCRA-FPNHES technique can be studied on credit card dataset. The obtained values indicate that the ACCRA-FPNHES technique showcases better performance
Automated Learning Style Prediction using Weighted Neutrosophic Fuzzy Soft Rough Sets in E-learning Platform
Authors:   Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia; Faculty of Tourism, King Abdulaziz University, Jeddah 21589, Saudi Arabia, Nasser Nasser
Published: June 2024

Neutrosophic fuzzy logic (NFL) is a prolongation of classical FL that integrates the neutrosophic conception that handles the indeterminacy concept. This method offers a more comprehensive and flexible architecture to handle inconsistent, uncertain, and indeterminate data, which makes it especially helpful in complicated reasoning and decision-making scenarios where classical FL might be defeated. A learning scheme, which is made from the internet and computer as the main components, is called as an e-learning platform. Although the training might happen on or off campuses, utilizing the internet is an integral part of online learning. In the meantime, to significantly augment the education standard, it is essential to forecast the learning style of the user through supervision and feedback. Nonetheless, it averts the intrinsic relationship amongst e-learning behaviors. There might be technological difficulty ranging from network connectivity issue to users memorizing their username and password while executing and developing an educational program. The learning style prediction in e-learning network is complex one and therefore we recommend a new methodology which employs web mining method for the feature extraction and log files of students from the e-learning network. This study develops an Automated Learning Style Prediction using Weighted Neutrosophic Fuzzy Soft Rough Sets (ALST-WNSFSRS) technique in E-learning Platform. The ALST-WNSFSRS technique mainly aims for the prediction of automated learning styles. Initially, the information is gathered from the Kaggle websites and utilizing a web mining method the feature from the web and log files are pre-processed. The preprocessed information is scrutinized to discover the pattern of approach to learning and later investigated the pattern. Then, the feature patterns are clustered by the fuzzy c-means (FCM) clustering technique and later utilizing the WNSFSRS method, the approach to students learning is anticipated. To improve the performance of the WNSFSRS technique, glowworm swarm optimization (GSO) algorithm is used. The performance of the ALST-WNSFSRS technique is compared with existing models and the results reported the supremacy of the ALST-WNSFSRS technique interms of different measures
Emergence Characteristics of Fire Blight from 2019 to 2023 in Korea
Authors: Ham Hyeonheui , Roh Eunjung , Lee Mi-Hyun , Lee Young-Kee , Park Dong Suk , Kim Kyongnim , Lee Bang Wool , Ahn Mun Il , Lee Woohyung , Choi Hyo-Won , Lee Yong Hwan
Published: June 2024

Erwinia amylovora is a gram-negative plant pathogen that causes fire blight in apple and pear trees, resulting in significant damage worldwide. In this study, we monitored the emergence of fire blight from 2019 to 2023 to determine the emergence patterns and the factors affecting the outbreak of the disease. As a result of the 5-year survey on the emergence of fire blight, a total of 2,029 cases have emerged, mostly in apple trees of 1,378 cases (67.9%) followed by 645 cases (31.8%) in pear trees, and from quince, hawthorn, and mountain ash trees. Fire blight appeared in specific areas of Gyeonggi, Chungnam, Gangwon, and Chungbuk provinces in 2019, but spread to Andong and Yesan in 2021, Muju and Bonghwa in 2023. In 2020 and 2021, there were 744 and 618 cases of fire blight outbreaks, respectively, compared to other years (188–245 cases/year). Notably, 914 of these cases were observed in apple trees from May to July, with 667 cases reported in Chungju and Jecheon. The incidence of fire blight was positively correlated with the daily maximum temperatures and rainy days in January and February, as well as the rainy days in May and June. The average age of the diseased pear trees was 25 years, higher than the 10-year average age of the apple trees. This study provides fundamental information to understand the status and factors affecting the fire blight emergence in Korea. Prevention measures should be established through continuous analysis of the status of fire blight.
Investigation of Variation in Bacterial Community Structure in Endangered Korean Fir Tree by Habitats
Authors: Ko Young Min , Gang Geun-Hye , Jung Dae Ho , Kwak Youn-Sig
Published: June 2024

The Korean fir tree (Abies koreana), an endemic species of South Korea, is experiencing a severe decline in population due to climate change. Studies on the conservation of Korean fir have been extensive, yet research regarding its correlation with rhizosphere bacterial communities remains scarce, warranting further investigation. In this study, metagenome amplicon sequencing targeting the 16S rRNA V4 region was conducted to examine the presence of specific bacterial communities in Korean fir and to investigate potential differences based on habitat types (rhizosphere of native or cultivated trees, soil of dead trees, and bulk soil) and seasonal variations (April, June, September, November). Here we show that although we could not identify specific taxa highly specifically with Korean fir, the rhizosphere bacterial community in native trees exhibited less variability in response to seasonal changes compared to that in bulk soils. Suggesting the establishment of relatively stable bacterial populations around the Korean fir natural habitat. Further research on other types of rhizosphere and/or microbes is necessary to investigate the distinct relationship of Korean fir with microbial communities.
Biocontrol of Southern Blight Caused by Sclerotium rolfsii in Pepper Plants Using Bacillus subtilis GJ6-14
Authors: Moon Hae Jung , Sang Mee Kyung
Published: June 2024

Southern blight, caused by the soil-borne fungus Sclerotium rolfsii, is a serious disease that affects many economically important crops. In this study, we selected Bacillus subtilis GJ6-14, from a total of 260 strains, to control Southern blight in pepper plants. In both seedling and plant tests, GJ6-14 significantly suppressed disease incidence and severity compared to control, furthermore, GJ6-14 demonstrated efficient colonization in the rhizosphere by maintaining the population from log 5.41 to log 3.92 in the pathogen-inoculated plants, indicating its potential as a biocontrol agent. Molecular analysis revealed up-regulation of defense-related genes, such as a 7.6-fold increase in LOX1 and 15.5-fold increase in PR1, at 72 hr after inoculation of S. rolfsii in GJ6-14-treated plants, suggesting activation of plant defense mechanisms. Overall, our findings highlight the promising role of B. subtilis GJ6-14 as a potential biocontrol agent in sustainable management of Southern blight in pepper plants.
Identification of Metabolites Derived from Streptomyces sp. S20-465 That Are Effective in Controlling Cucumber Anthracnose
Authors: Kim Jiwon , Sang Mee Kyung
Published: June 2024

Cucumber (Cucumis sativus L.) is substantial economic importance in South Korea, with its cultivation occupying a significant portion of agricultural land. However, sustainable cucumber production requires effective management of various diseases affecting the crop yield. In this study, we explored the potential of Streptomyces sp. S20-465-derived metabolites in controlling cucumber anthracnose disease caused by Colletotrichum orbiculare. This study identified 4-hydroxy-4-methyl-2-pentanone as a potent antifungal compound present in the n-hexane extract of Streptomyces sp. S20-465 culture filtrate. This compound exhibited significant the disease reduction, demonstrating their potential as control agents. Our findings suggest that Streptomyces sp. S20-465-derived metabolite could serve as an effective tool for managing cucumber anthracnose, offering a sustainable approach to enhancing cucumber production. Further research into the application and efficacy of these compounds in agricultural system will be conducted.
A Study of Stock Market Risk Assessment Using Big Data
Authors: Li Xinzhe
Published: June 2024

In an era of economic globalization, the stock market has emerged as a crucial barometer for assessing a nation's economic progress. With the swift advancements in information technology, the application of big data has gained significant traction in the financial sector. Big data analytics enable investors and financial managers to evaluate market risks with greater precision and make more informed decisions. Nevertheless, the inherent unpredictability and complexity of the stock market pose significant challenges to accurate risk evaluation. This study delves into the application of big data methodologies for evaluating risks in the stock market. It involves an extensive analysis of various market data, such as stock prices, transaction volumes, news updates, and social media sentiments, to forecast market directions and identify potential risks. This research utilizes an in-depth literature review and analysis to investigate the role of big data technologies in increasing the accuracy of assessing stock market risks. It delves into a wide array of indices and individual stocks within a defined timeframe. An exhaustive review of pertinent literature reveals that big data technologies play a crucial role in enhancing the precision of risk evaluations in the stock market. The methodology not only sheds light on the theoretical foundations but also highlights the practical benefits, demonstrating the essential influence of big data on the management of financial risks with social media sentiment analysis showing notable efficacy in forecasting short-term market fluctuations.
Remote Work in Business: Navigating the Pros and Cons for Organizational Success
Authors: Lu Yang
Published: June 2024

The rapid development of Internet technology and globalization has led to a new way of working where employees can work from home. Remote work is an alternative to traditional fixed workplaces and rigid full-time employment. Due to changes in traditional employment relations and the market economy, remote work has entered a new era of development that breaks through time and geographical restrictions. This paper thoroughly examines the benefits and drawbacks of working from home, as well as its range of applications. Causal connections between statements create a logical flow of information. While it can increase productivity and reduce expenses compared to the typical office model, there are also drawbacks, such as cybersecurity issues and trust-building challenges. This paper assesses the work of individuals who work from home using asset capital pricing models and data analysis. Before selecting an office mode, businesses should carefully consider the benefits and drawbacks in light of their unique circumstances.
Collaborative Models in the Smart Tourism Supply Chain: Analysis and Implications
Authors: Sheng Chunyan
Published: June 2024

This paper investigates the development and collaborative models within the smart tourism supply chain, focusing on Online Travel Agencies (OTAs), scenic spots, and the roles of core stakeholders in facilitating smart tourism. It highlights the status of smart tourism development, particularly in the context of Jiangxi Province, and explores the evolution of OTAs and scenic spots towards smart tourism amidst the challenges posed by the pandemic. Three main collaboration models are identified: the independent development model, the regional smart tourism supply chain collaboration model, and the holistic smart tourism supply chain collaboration model, each with distinct characteristics and implications for stakeholders. By analyzing these models, the paper identifies existing issues within the smart tourism supply chain, including the need for better integration of smaller scenic spots and the pivotal role of tourism management institutions in fostering a more inclusive and sustainable smart tourism ecosystem. The findings suggest pathways for enhancing collaboration and sustainability in the smart tourism supply chain, emphasizing the importance of strategic partnerships and policy support.