bluuebunny/crossref_metadata_2025 huggingface dataset:
SOSIALISASI MENJAGA KEBERSIHAN DIRI (PERSONAL HYGIENE) PADA PANTI ASUHAN ANAK LIORA TERANG
Authors: Barus Bunga Rimta , Marbun Novarianti , . Sulasmi
Published: August 2024

For kids, maintaining personal hygiene is crucial because they often get sick due to not paying attention to it. Personal hygiene is the practice of preserving the health and sanitation of children for their physical and mental well-being. Personal hygiene knowledge must be acquired at an early age. The aim is that the child's knowledge about personal hygiene will become more mature, so that the child will get used to practicing personal hygiene. Apart from that, to increase knowledge about maintaining cleanliness in everyday life. In the process of internalizing personal hygiene behavior, there are several behaviors such as washing hands, bathing, shampooing (washing hair), brushing teeth, cutting nails, and cleaning ears. Presentations were utilized to conduct this activity, group discussions with orphanage children, and continued by providing education about the value of good personal hygiene and methods for practicing it in everyday life. This activity took place with a total of 21 participants. The personal hygiene material presented, includes: the benefits of maintaining personal hygiene, how to practice proper personal hygiene, including hand cleansing, tooth flossing, bathing, shampooing, cutting nails, changing clothes and not sharing personal items with other people. Apart from that, environmental hygiene material was also presented including: keeping the house clean, such as cleaning the floor of the house, not piling up dirty clothes and always changing bed linen regularly.
Consumer Adoption and Perception of Electric Vehicles
Authors: Ashutosh
Published: August 2024

The ever-increasing need for environmentally friendly modes of transportation is the primary force behind the tremendous transition that the global automobile industry is currently undergoing. Electric cars, often known as EVs, have emerged as a potentially useful alternative to conventional automobiles powered by internal combustion engines. These vehicles offer a positive impact on the environment as well as technical developments. For policymakers, industry stakeholders, and researchers who are interested in accelerating the transition to a low-carbon transportation system, it is crucial to have a solid understanding of how consumers embrace electric vehicles and how they perceive them. A detailed study of consumer acceptance and perception of electric vehicles (EVs) is presented in this research article. The analysis is based on a review of relevant literature, empirical investigations, and case examples. Several key aspects that influence customer decision-making regarding the adoption of electric vehicles are investigated. These elements include environmental consciousness, government incentives, technical improvements, cost of ownership, availability of charging infrastructure, driving experience, and perception of the brand (brand perception).
Study of Battery Technology: Advancements in Electric Vehicles
Authors: Singla Ashutosh
Published: August 2024

For the purpose of this research article, the developments in battery technology that have occurred within the electric vehicle (EV) sector are investigated. Electric cars have begun to emerge as a potentially viable alternative for environmentally responsible transportation in light of the increased focus placed on lowering emissions of greenhouse gases and mitigating the effects of climate change. The development of batteries that are both efficient and high-performance, and that are able to provide sufficient power, range, and longevity, is essential to the success of electric cars. This article is a detailed summary of the breakthroughs in battery technology that have been made in electric cars. It discusses the historical context, the current situation, recent developments, and future trends. The many forms of battery technology, such as lithium-ion batteries, solid-state batteries, and lithium-sulfur batteries, are investigated in great length, along with the advantages, disadvantages, and applications that are associated with each of these distinct types of batteries.
The Role of Mathematics in Artificial Intelligence and Machine Learning
Authors: Dr. Meenu
Published: August 2024

Mathematics serves as the foundational backbone of artificial intelligence (AI) and machine learning (ML), providing the essential tools and frameworks for developing sophisticated algorithms and models. the pivotal role of various mathematical disciplines, including linear algebra, calculus, probability theory, and optimization, in advancing AI and ML technologies. We begin by examining how linear algebra facilitates the manipulation and transformation of high-dimensional data, which is crucial for techniques such as principal component analysis (PCA) and singular value decomposition (SVD). Next, we delve into the applications of calculus in training neural networks through gradient-based optimization methods, highlighting the importance of differentiation and integration in backpropagation and loss function minimization. the role of probability theory in handling uncertainty and making predictions, emphasizing its application in Bayesian networks, Markov decision processes, and probabilistic graphical models. Additionally, we discuss optimization techniques, both convex and non-convex, that are fundamental to finding optimal solutions in machine learning tasks, including support vector machines (SVMs) and deep learning architectures.
Impact of E-commerce on Small and Medium Enterprises: A Case Study of Developing Countries
Authors: Diwan
Published: August 2024

This study investigates the impact of e-commerce adoption on small and medium enterprises (SMEs) in developing countries. E-commerce has rapidly transformed global business landscapes, offering SMEs new avenues for market expansion and operational efficiency. However, its adoption among SMEs in developing countries varies significantly due to technological, infrastructural, and socio-economic barriers. This research employs a qualitative case study approach to explore how SMEs in select developing countries have navigated challenges and leveraged opportunities presented by e-commerce. The findings highlight the transformative effects of e-commerce on business models, market reach, and competitive positioning within local and international markets. Moreover, the study identifies critical success factors and barriers to e-commerce adoption, offering insights for policymakers, business owners, and stakeholders aiming to foster sustainable growth and economic development through digital commerce initiatives.
AN OVERVIEW OF RURAL HOUSING SCHEMES IN MYSURU DISTRICT
Authors: Mr. Madan C. S  , Dr. Manjuprasad C  , Dr. S.M. Basavaraju
Published: August 2024

The study has evaluation of rural housing schemes in Karnataka and the study to review of rural housing schemes in Karnataka. House is the third important need of man after food and clothing. The house is a shelter built by man to protect himself from the vagaries of climate and to meet the basic physiological requirements of the body. thus, the house is a universal feature of the inhabited world. Structurally, a house consists of a roof, supported by walls with a door. According to 2018-19 report, 1,89,313,0 families are homeless and 6,92,518 families are site less in Karnataka. Totally there are 2,58,564,8 homeless and site less families in the state. The study divided into four division of the state respectively Bangalore , Belagavi, Mysure and Kalburgi.
KEYWORDS: Rural, Housing, Clothing, Protection, Development
Comparing the Efficacy of Select Natural and Synthetic Corrosion Inhibitors on Copper and Iron
Authors:   Japanese Institute of Anatolian Archaeology, Çağırkan, Kaman, Kırşehir, Turkiye, CONWAY Lauren
Published: August 2024

Six corrosion inhibitors were evaluated for their effectiveness at preventing corrosion on copper and mild steel in a short-term experiment lasting two weeks. Half of the inhibitors tested were alcohol extracts of natural products (ginger, garlic, and black pepper), and the others were standard chemical reagents including benzotriazole (BTA), cysteine, and 5-amino-1,3,4-thiadiazole-2-thiol (AMT). Metal coupons of both mild steel and copper were immersed in a 0.007M dilute HCl solution with one of the six inhibitors or a combination of two inhibitors. The pH of each solution was monitored to track the corrosion rate and this method proved to be remarkably sensitive and nuanced, allowing for the subtleties of the decay mechanisms to be determined.
Assessing the Health of South Kalimantan Coastal Swamp Wetlands using Measurements of Heavy Metals in Commercial Fish Species
Authors:   Department of Biology, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat University,
Banjarbaru, South Kalimantan, Indonesia, 70714, SANTOSO Heri Budi , YUNITA Rizmi ,   Department of Aquatic Resources Management, Faculty of Fisheries and Marine Science,
Lambung Mangkurat University, Banjarbaru, South Kalimantan, Indonesia, 70714, KRISDIANTO KRISDIANTO ,   Department of Biology, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat University,
Banjarbaru, South Kalimantan, Indonesia, 70714
Published: August 2024

Heavy metals pollution damages coastal swamp ecosystems. This study’s primary purpose was to determine the amounts of heavy metals in coastal swamp waters and the tissues of three fish species (Mugil cephalus, Arius sagor and Plotosus lineatus). This study determined that the water in the coastal swamps of South Kalimantan was contaminated with heavy metals in the following order: Fe > Cu > Zn > Cr > Pb > Cd > Hg. The heavy metal concentrations found in the three commercial fish species are as follows: Fe > Zn > Cu > Cr > Pb > Cd > Hg. The bioaccumulation of heavy metals was highest in Mugil cephalus, followed by Arius sagor and Plotosus lineatus. The Fe, Cu and Cr concentrations in Mugil cephalus, Arius sagor and Plotosus lineatus exceeded the international and national MPLs. The liver tissue has the highest capacity to bioaccumulate heavy metals. Regular monitoring of these metals in fish and water sources is recommended to ensure the safety and conservation of coastal swamp wetlands.
Artificial intelligence-enabled antibiotic prescribing and clinical support in Nigerian health-care settings: Budgetary constraints, challenges, and prospect
Authors: Rabiu Ismail , Muhammed Abdulazeez , Tukur Ibrahim Halima , Garba Rabiu Fatima , Isah Abdullahi Jaafaru , Abdulfatai Khadijat , Abubakar Musa Hafsat
Published: August 2024

Today, resistance developed by bacteria to common antibiotics that were otherwise regarded as effective is posing a serious challenge. It is believed that without any different efforts, this perennial problem will undermine all the ongoing efforts in antibiotic discovery and therapy development. In Nigeria, antibiotics are frequently prescribed in hospitals. However, issues like multidrug resistance (MDR) and inappropriate use and misuse of antibiotics, including incorrect dosages and use of broad-spectrum antibiotics for targeted infections, have precipitated the rise of MDR bacteria. Consequently, this leads to higher healthcare costs, mainly due to prolonged hospital stays and additional medications as well as increased patient mortality. The prospects of artificial intelligence (AI)-enabled antibiotic prescribing hold significant promise in transforming the current health-care practices. AI has the potential to enhance the precision and efficiency of antibiotic treatment through advanced algorithms and data analytics. This technology can contribute to improved diagnostic accuracy, providing real-time clinical support, optimizing dosage recommendations, personalized treatment plans, and streamlined antimicrobial stewardship, ultimately aiding the global fight against antibiotic resistance and optimizing patient outcomes. The integration of AI in antibiotic prescribing reflects a cutting-edge approach with the potential to revolutionize how antibiotics are prescribed to address challenges in antimicrobial stewardship, clinical decision-making, and combating antibiotic resistance. One of the key impediments to integrating AI into Nigeria’s health-care system is budgetary constraints. Addressing these constraints through strategic investments, improved budgetary allocation to research and development, and leveraging the opportunities presented by AI technologies can significantly enhance antibiotic prescribing and health-care practices, leading to improved public health outcomes.
LAS LICENCIAS DE FUNCIONAMIENTO Y LA PRODUCTIVIDAD EN LA MUNICIPALIDAD PROVINCIAL MARISCAL NIETO DE MOQUEGUA, AÑO 2013, PERÚ
Authors: Yucra Estuco Hindalicio
Published: August 2024

Objetivo. Determinar las características y la relación de la emisión de la licencia de funcionamiento y la productividad en la Municipalidad Provincial Mariscal Nieto de Moquegua (MPMN) en el año 2013 Materiales y métodos. Estudio de análisis documental, correlaciona! y transversal realizado durante el año 2013, tomando para el estudio toda la base de datos de las licencias de funcionamiento emitidas para las diferencias actividades comerciales, servicios e industriales de la localidad de Moquegua. Resultados. El análisis descriptivo del nivel de emisión de las licencias de funcionamiento resulta baja, así como el nivel de productividad y el análisis de correlación de las 148 licencias de funcionamiento emitidas y su productividad (331 días de trámite) por la Municipalidad Provincial Mariscal Nieto, reporta una correlación R= 8,848 y p=0,001. Conclusiones. Existe una relación positiva entre el otorgamiento licencias de funcionamiento y la productividad en la Subgerencia de Abastecimiento y comercialización, de lo que se infiere que en la MPMN los procedimientos para el otorgamiento de la licencia de funcionamiento aún no es óptima y que el plazo máximo para el otorgamiento de la licencia va de 12 a 41 días.
CONOCIMIENTO DISCIPLINAR Y FORMADORES DE PROFESORES DE LA ENSEÑANZA DEL INGLÉS COMO LENGUA EXTRANJERA
Authors: Quintana Marcela , Ramos Lucía , Díaz Claudio , Tangle Tania , Alarcón Paola
Published: August 2024

El objetivo del estudio fue determinar de manera preliminar, cómo un grupo de formadores de profesores entienden el conocimiento disciplinar basado en su formación académica y experiencia docente. Este estudio plantea la hipótesis de que los formadores de profesores en la universidad, a) Conocen de lo que se trata el conocimiento disciplinar en el área de su experticia, es decir, inglés como lengua extranjera (EFL) y b) Estar en conocimiento de las diferentes disciplinas que constituyen el conocimiento disciplinar en el área de inglés como lengua extranjera. Los resultados se analizan no solo en términos de cómo estos formadores de profesores entienden el conocimiento disciplinar, sino también con respecto a las implicaciones pedagógicas y curriculares.
JUEGOS VERBALES RIMAS Y TRABALENGUAS COMO ESTRATEGIAS DE APRENDIZAJE, PARA ESTIMULAR LA EXPRESIÓN ORAL Y CORPORAL EN NIÑOS DE 4 AÑOS EN LA I.E.I. 320, MOQUEGUA-2011
Authors: Ramos Rodríguez Pablo
Published: August 2024

Objetivo. Determinar que la aplicación de los juegos verbales, rimas y trabalenguas como estrategias de aprendizaje, logran estimular la expresión oral y corporal en los niños de 4 años en la I.E.I. 320, Moquegua 2011. Materiales y métodos. Se trabajó con un diseño preexperimental, con un solo grupo de 23 niños de la sección "A" de 4 años de la institución educativa en estudio, se les aplicó una observación de pre y postest. La primera observación permitió conocer el estado inicial del grupo, y la segunda luego de la aplicación de los juegos verbales rimas y trabalenguas, para verificar el efecto logrado. Resultados y conclusiones. Con la aplicación de los juegos verbales rimas y trabalenguas los niños son capaces de vocalizar y articular palabras con mayor claridad, dialogar y hablar con coherencia con sus compañeros realizando gestos y ademanes y movimiento corporal.
CERVANTES, ESTRADA Y MOQUEGUA
Authors: Gutiérrez Valdivia Jorge Armando
Published: August 2024

Cuando el ¡lustre José de la Rlva Agüero, en plena madurez de su vida y su estilo, fue elegido Director de la Academia Peruan a de la Lengua Correspondiente de la Real Española, se propuso ¡nielar la costumbre de realizar ceremonias públicas el 25 de abril de cada año en conmemoración de la muerte de Cervantes y en homenaje a El Ingenioso hidalgo Don Quijote de la Mancha, la más alta cumbre de las letras hispanas. El mismo Rlva-Agüero pronunció en esa fecha dos discursos realmente memorables: uno sobre las relaciones del autor del Quijote con la institución literaria virreinal y otro sobre el primer libro publicado por Cervantes: su novela pastoril La Galatea. Su Intención, como él dijo, era analizar año tras año la portentosa obra cervantina y distribuir en discursos sucesivos la Investigación y la Interpretación de los Inagotables temas que esa obra despierta.Desgraciadamente, diversas circunstancias le Impidieron cumplir el propósito. Pero ahora, en esta nueva etapa de vida remozada de la Academia se ha reanudado y afianzado la costumbre. Todos los años, el 23 de abril -que es nuestro Día oficial del idioma- no solamente desde luego sobre la obra de Cervantes sino sobre temas y problemas de nuestra propia cultura peruana.A don Aurelio Miró Quesada le ha Interesado en la insegura historia de Alonso de Estrada, el elusivo sevillano avecinado en e I pueblo de Moquegua, que ha de ser el poeta alabado por el insigne Miguel de Cervantes en el “Canto de Calíope” de su novela pastoril La Galatea:Pues si he de dar la gloría a ti debida,Gran Alonso de Estrada, hoy eres diño Que no se cante así tan de corrido Tu ser y entendimiento peregrino;Contigo está la tierra enriquecida Que al Betis mil tesoros da continuo.Y aún no da el cambio Igual, que no hay tal paga Que a tan dichosa deuda satisfaga.
RECONOCIMIENTO DE PATRONES EN HUELLAS DIGITALES UTILIZANDO MATLAB
Authors: Silva Delgado Otoniel , Jiménez Flores Oscar Juan
Published: August 2024

El objetivo de este estudio es el uso de huellas digitales para determinar la Identidad de un individuo a través de extraer y procesar minucias. La herramienta por emplear es Matlab, en la que se procesa una imagen a modo de matriz y mediante bucles y máscaras se puede obtener las minucias de interés. El algoritmo, en primera instancia, binariza la imagen, de tonos grises a una imagen en blanco y negro. Una vez realizado lo anterior se hacen unas pequeñas correcciones en la imagen, por ejemplo usar el comando bwmorph junto con algunas de sus opciones; deán, que remueve los pixeles ¡solados con valor 1 rodeados de 8 vecinos de valor 0. fill remueve los pixeles ¡solados en la imagen, los pixeles de valor 0 rodeados de 8 vecinos de valor 1, y los convierte en 1. Y como última instancia la opción thin que adelgaza la línea que se dibuja con los pixeles de valor 1, y se genera una línea con el ancho de un pixel. En conclusión, se ha diseñado un algoritmo que es capaz de extraer los puntos de interés de una muestra y compararla con otra, contra un porcentaje de error menor de 30%, y el cual verifica si las muestras son del mismo individuo o de diferentes.
FACTORES MATERNOS Y NEONATALES ASOCIADOS A LA ICTERICIA DEL RECIÉN NACIDO EN EL HOSPITAL REGIONAL MOQUEGUA. 2014 - 2015
Authors: Quintanilla Flores Vanessa del Rosario
Published: August 2024

La ictericia en el recién nacido, es un proceso común entre el grupo neonatal, que en muchos casos llega a ser motivo de hospitalización, causado por una hiperbilirrubinemia de predominio indirecto secundario a inmadurez hepática, entendiéndose esta como ictericia fisiológica, y en otros casos, híperproducción de bilirrubina secundaria a hemólisis, y alteraciones hepáticas, identificándose esta como ictericia patológica. El Objetivo fue determinar los factores maternos y neonatales asociados a la ictericia del recién nacido en el Hospital Regional Moquegua. Método. Estudio observacional, de nivel relacional transversal, los casos del estudio fueron de 75 y 45 recién nacidos con ictericia neonatal, para la obtención y análisis de datos se aplica un instrumento creado por la autora y validado por expertos. Resultados. El análisis de datos evidencia que la edad materna de mayor predominio fue entre los 26 y 32 años con un 40,27%, el parto eutócico es del 53,85% en las que el 45,30% fueron madres primíparas. El 64,96% de recién nacidos con ictericia recibieron lactancia materna exclusiva y el 47,86% tuvieron contacto precoz con la madre. También encontramos que las principales patologías asociadas fueron deshidratación hipernatrémica con el 44,44%, sepsis con el 22,22% y la incompatibilidad de grupo ABO con el 20,83%. Conclusiones. La edad de la madre y el tipo de parto son factores maternos asociados a la ictericia, los factores neonatales asociados son la incompatibilidad de grupo ABO, la lactancia materna y el contacto precoz.
PROGRAMA DE MEJORA DE RECAUDACIÓN DEL IMPUESTO PREDIAL EN LA MUNICIPALIDAD PROVINCIAL DE MARISCAL NIETO. MOQUEGUA 2015 1 Escuela
Authors: Torres Gallegos Janeth , Torres Esteves Santiago
Published: August 2024

Objetivo. Diseñar un programa de mejora de la recaudación del impuesto predial, según lineamientos técnicos, legales y resultados del diagnóstico en la Municipalidad Provincial Mariscal Nieto de Moquegua. Metodología. Revisión documental y aplicación de encuestas y entrevistas, en cuatro dimensiones: a. Estructura y características del padrón de contribuyentes prediales; b. Recaudación del impuesto predial; c. Percepción de contribuyentes prediales respecto a la gestión del impuesto, y d. Percepción de los trabajadores de la Gerencia de Administración Tributaria. Resultados. El catastro urbano se encuentra desactualizado, en cuanto al número de predios registrados por el INEI, los precios comerciales y propietarios de los predios. La recaudación del impuesto predial es baja. Los tiempos de pagos que se efectúan en periodos regulares van en descenso. La percepción de contribuyentes es insatisfactoria. Erróneas políticas públicas de gestión y el deterioro de la cultura tributaria en la población. La percepción de trabajadores es deficiente respecto a la gestión del impuesto predial. Conclusión. La recaudación del impuesto predial en la municipalidad es baja e injusta por la inadecuada aplicación de políticas públicas. Para la mejora de la recaudación construida sobre los resultados de la investigación y la normatividad vigentes, tipo matricial y comprende: problemática, objetivos estratégicos, actividades, metas anuales y responsables. Además, la evaluación y seguimiento a través de una Comisión conformada por funcionarios de las áreas implicadas en la gestión de este impuesto.
RELACIÓN DE LOS PATRONES FACIALES CON LOS TRASTORNOS DE LA ARTICULACIÓN TEMPOROMANDIBULAR EN LOS PACIENTES ADULTOS QUE ACUDEN AL HOSPITAL II ESSALUD - MOQUEGUA 2016
Authors: De Los Milagros Márquez Mayta Gloria Leticia , Juárez Vizcarra César Fernando
Published: August 2024

Objetivos. Determinar la relación de los patrones faciales con los transtornos de la articulación temporomandibular en los pacientes adultos que acuden al Hospital II Essalud – Moquegua 2016. Materiales y métodos. Se trabajó con 150 pacientes adultos que cumplieroncon los criterios de inclusión y de exclusión, a los que se les aplico el análisis cefalométrico y facial de Leopoldino Capelozza por medio delas radiografías laterales de cráneo y fotografías, para así determinar los grupos de patrones faciales y proseguir con la aplicación del índiceHelkimo, lo que nos dio como resultado los transtornos de la articulación temporomandibular en cada grupo de patrón facial. Resultados.Los datos obtenidos demuestran la existencia de relación de los patrones faciales con los transtornos de la articulación temporomandibular,siendo el patrón facial III el más afectado por los transtornos temporomandibulares severos con 22,2%, y que es el patrón facial II el quepresenta el mayor porcentaje de función normal (19,6%). Mediante la prueba chi cuadradode independencia encontramos un p-valoraltamente significativo (p = 0,000); en conclusión, los patrones faciales se encuentran relacionados con los transtornos de la articulacióntemporomandibular.
Analysis and Comparison of Volatile Compounds in Stropharia Rugosoannulata and Tricholoma Lobayense by Headspace Solid-Phase Microextraction-Gas Chromatography-Mass Spectrometry
Authors: Yu Xia , Meng Deshang , Zhao Qingchun , Liang Lianting , Cui Lili
Published: August 2024

The volatile components of Stropharia rugosoannulata and Tricholoma lobayense were analyzed by mass spectrometry, and the relative contents of each component were determined by the internal standard method. In Stropharia rugosoannulata, 58 volatile components were identified, including 10 alcohols, 14 esters, 9 aldehydes, 5 ketones, 1 phenol, 3 alkanes, 4 amines, 5 acids, 1 furan, 1 pyrazine, 1 olefin, 1 oxime, 1 pyrazole, and 2 other components. Among them, the most abundant volatile component was hexanal (1655.40 ng/g), followed by pentanoic acid (1503.10 ng/g) and phenylethyl alcohol (1215.94 ng/g). In Tricholoma lobayense, 68 volatile components were identified, including 17 aldehydes, 11 ketones, 8 acids, 10 esters, 5 alcohols, 1 phenol, 2 furans, 4 alkanes, 1 alkene, 1 oxime, 1 pyrazole, 1 amine, and 6 other components. Among them, the most abundant volatile component was benzaldehyde (2190.67 ng/g), followed by hexanal (1708.81 ng/g) and furan, 2-pentyl- (838.45 ng/g). There were 21 common volatile components between the two different edible fungi, including 7 aldehydes, 5 esters, 3 ketones, 2 alcohols, 2 acids, 1 oxime, and 1 furan.
Enhancement of Motivation to Learn Hinduism in Students of SMKN 1 Sukawati Gianyar
Authors: Putra Sanjaya Ida Bagus , Budiadnya Putu
Published: August 2024

Education of religion has contributed to the achievement of national education goals. In this case, there are four components of educational goals whose achievement become the burden of religious education which means they also become the burden of religion teachers, namely having religious spiritual strength, self-control, personality, and noble character. Thus, how great the contribution of religious education and religion teachers in the effort to realize the expected educational goals is. Religious education functions to prepare students to become members of society who understand and practice the values of religious teachings and become experts in religious knowledge as well as increase student learning motivation in studying Hinduism as an effort to contribute to realizing national education goals in Indonesia. Educators can find out the factors that influence student motivation to study Hinduism subjects in school and outside of school because in essence religious people are expected to understand and know the religious teachings adhered to by the humans themselves. The study on the enhancement of motivation among Hindu students in participating in the Hinduism learning process in school was carried out by using observations, interviews, and document studies to obtain qualitative and quantitative data in the form of opinions related to learning problems to increase student’s motivation at SMKN 1 Sukawati Gianyar vocational school. Thus, educators use and improve the curriculum, the competence of Hinduism teachers, student’s motivation, teaching materials, learning models, learning media, facilities and infrastructure, learning environment and school culture towards efforts in implementing the curriculum, applying contextual learning models, increasing the competence of Hinduism teachers, preparing contextual teaching materials, providing learning infrastructure and media, conditioning the learning environment and school culture which is educative as well as praying on full moon and new moon continuously.
Analisis Pajak Penghasilan Pasal 21 Sebelum dan Sesudah Penerapan Tarif Efektif Rata-Rata
Authors: Sumali Catherine , Lim Setiadi Alim
Published: August 2024

Before January 1 2024 Income Tax Article 21 for permanent employees is calculated using the Director General of Taxes Regulation Number PER-16/PJ/2016. Starting January 1 2024 Income Tax Article 21 for permanent employees is calculated using Government Regulation Number 58 of 2023 and Minister of Finance Regulation Number 168 of 2023. This research is intended to examine whether there is a difference in the amount of Income Tax Article 21 which is calculated using Regulation of the Director General of Taxes Number PER-16/PJ/2016 when compared using Government Regulation Number 58 of 2023 and Minister of Finance Regulation Number 168 of 2023. This research is classified as a type of library research using two approaches, namely the statutory approach (statute approach) and the comparative approach (comparative approach). To make it easier to draw conclusions, a simulation was carried out to calculate the amount of Income Tax Article 21 on five permanent employee data using Director General of Taxes Regulation Number PER-16/PJ/2016 and using Government Regulation Number 58 of 2023 and Minister of Finance Regulation Number 168 of 2023. The results of the research show that the Income Tax Article 21 deducted for each tax period in the period January to November using the provisions of the Director General of Taxes Regulation Number PER-16/PJ/2016 is greater in amount when compared to using Government Regulation Number 58 of 2023 and Ministerial Regulations Finance Number 168 of 2023. On the other hand, for the December tax period, the amount of Income Tax Article 21 which is deducted using Regulation of the Director General of Taxes Number PER-16/PJ/2016 is smaller when compared to using Government Regulation Number 58 of 2023 and Minister of Finance Regulation Number 168 2023. Overall, for one tax year, there is no difference in the amount of Income Tax Article 21 of permanent employees deducted, whether using the Director General of Taxes Regulation Number PER-16/PJ/2016 or Government Regulation Number 58 of 2023 and Minister of Finance Regulation Number 168 Year 2023.
Agencia, espacios persistentes y valor patrimonial en paisajes de canteras-taller de Antofagasta de la Sierra (Catamarca, Argentina)
Authors: Bobillo Federico
Published: August 2024

Las canteras-taller conforman paisajes que son socialmente significativos y tradicionales. El objetivo de este trabajo fue analizar el surgimiento de un paisaje social en un área de canteras-taller de Antofagasta de la Sierra (provincia de Catamarca, Argentina),  considerando la diversidad de contextos arqueológicos relevados, el uso reiterado y persistentes de las áreas de actividad y las materialidades heterogéneas que se generaron como resultado de las prácticas sociales y logísticas desarrolladas por los grupos cazadores-recolectores en el marco de sus tareas de aprovisionamiento. Asimismo, interesó reflexionar sobre el valor patrimonial que poseen estos paisajes, ya que suelen carecer de visibilidad frente a otros sitios, como las cuevas con arte rupestre y grandes construcciones arquitectónicas que conforman poblados o aldeas, por ejemplo. Como parte de esta investigación se efectuaron prospecciones sistemáticas, relevamientos y muestreos de contextos líticos y rasgos arquitectónicos, excavaciones y un análisis tecno-tipológico de conjuntos líticos. Por un lado, se lograron identificar contextos arqueológicos que son el resultado de comportamientos y acciones sociales específicas vinculadas con la logística en torno al aprovisionamiento lítico. Por otro lado, se documentó una riqueza artefactual que da cuenta de modos de hacer particulares y persistentes en el tiempo, lo que aporta conocimientos sobre los saberes-prácticos de las personas. Finalmente, se pudo documentar el valor patrimonial que poseen los paisajes de canteras-taller y el riesgo al que se encuentran expuestos, ya que son constantemente afectados por las actividades humanas modernas. Es en este sentido es que se consideró relevante diseñar acciones que posibiliten preservar los contextos arqueológicos y el ambiente natural.
Arquitectura residencial del primer milenio DC en la cuenca de Anjullón, Castros Barros, La Rioja
Authors: García Gonzalo Enrique , Garate Enrique , Sabatini Gabriela Inés , Cahiza Pablo Andrés
Published: August 2024

We present the results of the residential architecture analysis of Loma de Anjullón (Castro Barros, La Rioja). We employed a multi-scale approach to project and compare the results at the local level with micro-regional and regional data. Our focus was on comparing the size, shape, construction technique, and habitability of the sites. At site scale, we formally analyzed the architecture of Loma de Anjullón and integrated spatial interpolation analysis of ceramic, bone, and lithic assemblages from excavations. At regional level, an increase in social interactions and the emergence of village spaces would occur in the second half of the first millennium, which would be visible in larger spaces with greater accommodation capacity, such as Loma de Anjullón. We propose that in Anjullón, there existed a long-lasting construction tradition in the first millennium AD, and the architecture would reflect phenomena of regional origin.
Electrochemical radical cation aza-Wacker cyclizations
Authors: Adachi Sota , Okada Yohei
Published: August 2024

Electrochemical or photochemical single-electron oxidation of bench-stable substrates can generate radical cations that offer unique reactivities as intermediates in various bond-formation processes. Such intermediates can potentially take part in both radical and ionic bond formation; however, the mechanisms involved are complicated and not fully understood. Herein, we report electrochemical radical cation aza-Wacker cyclizations under acidic conditions, which are expected to proceed via radical cations generated by single-electron oxidation of alkenes.
Nivel de Conocimiento y Cumplimiento de la Aplicación de la Lista de Verificación de la Seguridad de la Cirugía por el Personal de Enfermería de un Hospital de Segundo Nivel de Tabasco
Authors: Hernández Jiménez Cristobal de Jesús , Madrigal Almeida Anita , Jimenez Zamudio María José , Torres López Josefina , Hernández Martínez Adrián
Published: August 2024

Las intervenciones quirúrgicas son importantes para tratar las enfermedades y reducir la mortalidad, sin embargo, el paciente que va a ser sometido a un procedimiento quirúrgico está expuesto a eventos adversos, los cuales se deben de evitar o minimizar para garantizar su salud y bienestar. El problema de la seguridad en las cirugías está ampliamente reconocido en todo el mundo, prueba de ello son los millones de pacientes que sufren lesiones o mueren a causa de una atención sanitaria poco segura y de mala calidad. El objetivo de la investigación fue identificar el nivel de conocimiento y cumplimiento de la aplicación de la Lista de Verificación de la Seguridad de la Cirugía por el personal de enfermería de un hospital de segundo nivel de Tabasco. El estudio fue de tipo descriptivo, observacional, de cohorte transversal y correlacional. Los resultados evidenciaron que el conocimiento no influye en el cumplimiento y aplicación correcta de la Lista de Verificación de la Seguridad de la Cirugía (LVSC), así mismo se observó que el 47.62% tiene conocimiento medio de la LVSC y 19.05% demostró un conocimiento alto. Se identificó que 52.38% cumplió con la LVSC. Se concluyó que ambas variables de estudio no tienen una correlación alguna entre sí.
Campus Sostenible: La Responsabilidad Social Universitaria Que Queremos Ver
Authors: Figueroa Rodríguez Cinthya , Ortiz Barrera Manuel Alfredo , Mayorga Salamanca Paola Irene
Published: August 2024

Las Instituciones de Educación Superior (IES) son reconocidas las encargadas de formar al capital humano, que será parte del motor socio económico en un futuro próximo, a su vez están interesadas la Responsabilidad Social Universitaria (RSU) para generar impactos positivos, con valores sociales, igualitarios y ecológicos. Las acciones de RSU son muy variadas y es necesario identificarlas claramente y evaluarlas, por lo que analizaremos la ¿Cuál es la percepción de los estudiantes del Centro Universitario de Ciencias Económico Administrativas (CUCEA), sobre las acciones aplicadas en el campus socialmente responsable? El objetivo es conocer la percepción de los estudiantes del CUCEA respecto al campus responsable. A través de una metodología cuantitativa con la aplicación de una encuesta con preguntas de escala tipo Likert; se realiza un análisis con el programa estadístico Statistical Package for the Social Sciences. Resultados encontramos que sí son percibidas las acciones de campus responsable que realiza el CUCEA. Conclusión el CUCEA está trabajando en la RSU. Oportunidades de estudio: realizar esta investigación incluyendo a los alumnos los posgrados y a sus grupos de interés externos.
Rancang Bangun Alat Penentu Jarak di Bawah Air Menggunakan Metode USBL (Ultra Short Base Line) dengan Microkontroler Raspberry Pico dan Sensor Piezoelectric
Authors: Santosa Yoyok Nurkarya , Santoso Susilo Budi , Negara Adhi Kusuma , Putra I Wayan Sumardana Eka
Published: August 2024

Penelitian ini bertujuan untuk mempelajari dan mengembangkan sistem penentu jarak bawah air dengan membuat rancang bangun alat penentu jarak di bawah air menggunakan metode  USBL ( Ultra Short Base Line ) dengan Microkontroler Raspberry Pico dan sensor Piezoelectric. Manfaat penelitian diharapkan dapat memberikan dasar pemahaman dan mengimplementasikan penguasaan teknologi akustik penentu jarak bawah air dalam rangka mencapai kemandirian teknologi, serta dapat memberikan solusi dan mempermudah dalam mengetahui jarak objek dibawah air. Penelitian ini telah menghasilkan sebuah rancang bangun alat penentu jarak di bawah air menggunakan metode USBL (Ultra Short Base Line) dengan Microkontroler Raspberry Pico dan sensor piezoelectric. Rancang bangun alat ini mampu bekerja sesuai prinsip dari USBL (Ultra Short Base Line). Rancang Bangun Alat Penentu Jarak Di Bawah Air Menggunakan Metode USBL (Ultra Short Base Line) Dengan Microkontroler Raspberry Pico Dan Sensor Piezoelectric dapat dikembangkan lebih lanjut dari penentu jarak menjadi penentuan posisi.
MRI T1-Weighted Fat Segmentation Based on Active Contour for Osteosarcoma Patients
Authors: Muhammad Shukor Muhammad Shauqi , Belinda Chong Chiew Meng  , Damanhuri Nor Salwa , Othman Nor Azlan , Othman Mohamad Haizan , Aziz Mohd Ezane
Published: August 2024

Osteosarcoma (OS) is the most common and frequent primary bone cancer in children and adolescents. This type of bone cancer often developed at the long bones’ extremities close to the metaphyseal growth plates. To address these issues, OS quantitative analysis is performed using Magnetic Resonance Imaging (MRI) to plan surgical procedures and track the effectiveness of treatment. Fat suppression is commonly employed to eliminate the fat signal from T1-Weighted MRI sequence. The suppressed fat signal in T1-Weighted is important and often used to identify abnormalities in other MRI sequences. In clinical, MRI images must be interpreted by a radiologist. Manually outlining the tumour location is laborious and subjective. Image processing involves segmentation to separate information from the desired target region of the image. Active Contour (AC) is an algorithm often used in medical images for segmentation. Nevertheless, the process of mask initialization can be challenging and requires careful attention. This study proposes a method to define the mask initialization so that the AC has a starting point to extract fat in T1-Weighted for the purpose of fat suppression. From the results obtained, AC with the proposed mask initialization method successfully segmented the fat in T1-Weighted MRI images with accuracy, precision, recall and F1-score of 0.92, 0.86, 0.88 and 0.89 respectively.
Bornean Orangutan Nest Classification using Image Enhancement with Convolutional Neural Network and Kernel Multi Support Vector Machine Classifier
Authors: Amran Amanda Aiza , Chin Kim On  , Abdul Karim Samsul Ariffin , Lai Po Hung  , Chai Soo See  , Simon Donna , Rossdy Munirah , Chi Jing
Published: August 2024

Preserving wildlife habitats is crucial in mitigating climate change. Species like orangutans and monkeys contribute to fruiting and planting in forests. The World Wide Fund Sabah Malaysia faces challenges in manually identifying and classifying orangutan nests for studying their behaviour and conserving their habitats. To address this, we propose automating the classification of captured images using machine learning algorithms. This research involves three key components: image processing, feature extraction, and image classification. Our proposed image processing includes several steps, such as image pre-processing and enhancement techniques like local contrast enhancement, sharpening, intensity adjustment, histogram equalization, and colour thresholding. We applied four different Convolutional Neural Networks (CNNs) to extract and identify orangutan nests’ features. Subsequently, we utilize Support Vector Machine (SVM) for image classification. The results reveal that the Inception Residual Network Version 2 (ResNet-v2) achieves the best performance. This architecture is then combined with a kernel SVM to classify Bornean orangutan nests. Our approach demonstrates impressive results, boasting an accuracy of 96.60%, an F1-score of 96.60%, a precision of 96.59%, and a recall of 96.58%. These metrics underscore the high accuracy and effectiveness of our proposed methodology for classifying Bornean orangutan nests. By reducing the need for extensive human intervention in image analysis, our method presents a valuable tool for conservationists and researchers committed to studying and safeguarding these endangered orangutans and their habitats. In future work, we aim to develop orangutan nest detector, contributing to wildlife conservation research.
ASEAN-5 Stock Indexes Predictions using Geometric Brownian Motion
Authors: Ishak Norizarina , Nordin Norazman , Rasedee Ahmad Nurullah
Published: August 2024

Even though the ASEAN-5 region has recently experienced enormous economic growth and advancement, this expansion has been associated with increased market volatility. Analysing historical data to assess stock market performance is crucial to comprehending these markets' dynamics and spotting potential hazards and opportunities. This study seeks to determine the mean and volatility parameters of the Geometric Brownian Motion (GBM) model for stock indexes to see trends and patterns in the ASEAN-5 stock market from 2017 to 2022. Once these parameters are determined, they are used in the GBM model to forecast the stock market indexes. Consequently, this research intends to highlight the value of incorporating GBM into stock indexes and assist investors in making short-term price predictions. The geometric Brownian motion involving randomness, volatility, and drift that might aid investors in making sensible investment decisions will be elaborated on in this research.
A Robust Deep Learning Model for Brain Tumor Detection and Classification Using Efficient Net: A Brief Meta-Analysis
Authors: Prabha Chander , Singh Retinderdeep
Published: August 2024

Accurately detecting and classifying brain tumors’, is critical for timely diagnosis and effective treatment planning. The purpose of this paper is to provide a comprehensive examination utilizing the EfficientNet family of deep learning architectures to automatically identify and categorize three forms of brain tumors from magnetic resonance imaging (MRI) scans. The primary aim of the study is to assess the performance of different EfficientNet models (ranging from EfficientNet-B0 to EfficientNet-B7) and determine their capability to achieve high accuracy in brain tumor classification. In the implementation, a diverse dataset is compiled comprising approximately 18,500 MRI images, representing various types of brain tumors. EfficientNet models are trained, validated, and tested using a combination of Softmax and ReLU activation functions, along with the Adam optimizer by employing learning rates of 0.0005 and 0.00001 for model training and optimization. The experimental results underscore the significant potential of the EfficientNet family in brain tumor classification. The findings reveal a consistent improvement in tumor detection accuracy as model complexity increases. The attained accuracies for different EfficientNet models are; 96.07% (EfficientNet-B0), 97.86% (EfficientNet-B1), 98.21% (EfficientNet-B2), 97.86% (EfficientNet-B3), 98.93% (EfficientNet-B4), 99.64% (EfficientNet-B5), 98.57% (EfficientNet-B6), and 99.64% (EfficientNet-B7), respectively. The proposed research not only validates the efficiency of the EfficientNet architecture in classifying brain tumors but also offers valuable insights into how model complexity influences classification performance. The notably high accuracy rates emphasize the clinical promise of employing deep learning methods to aid radiologists and medical experts in precise and efficient brain tumor diagnosis. Additionally, the paper's scope adds to the growing body of knowledge regarding the application of deep learning techniques to enhance medical image analysis and diagnostic capabilities.
Reduce PAPR in Filtered-CPOFDM using Hybrid Method System
Authors: Yusof Azlan , Abdullah Ezmin , Idris Azlina , Mustafa Wan Azani
Published: August 2024

5G multicarrier waveform Filtered Cyclic Prefix Orthogonal Frequency Division Multiplexing (F-CPOFDM) allows for high data speeds and increases in spectrum efficiency. The main drawback of F-CPOFDM is its high peak-to-average power ratio (PAPR), a common element of all multicarrier modulation schemes. In this research is investigate the implementation of a Hybrid strategy to reduce the peak to average power ratio (PAPR) in a F-CPOFDM system and evaluated the impact of employing a Hybrid Technique with Group Codeword Shift (GCS), Median Codeword Shift, Selective Codeword Shift (SCS), and Conventional F-CPOFDM on the reduction of peak to average power ratio (PAPR) in CP-OFDM. The novelty of this research is GCS method integration with WHT Precoding technique for reduce PAPR. Simulation results show that compared to traditional Filtered-CPOFDM, the GCS-WHT method reduces peak PAPR by 59.46 %, while the SCS- method reduces it by 32.43 % and the MCS-WHT method reduces it by 31.53%. Compare to the non-hybrid technique, the GCS only reduce 45.95%, while for SCS and MCS reduce 19.82% and 23.42% respectively. From the results, shows that Hybrid method is better performance compare with non-hybrid method.
Systematic Review of Open-Source Software for Technical and Vocational Education and Training (TVET)
Authors: Mohd Raffi Mohd Lutfi , Mohammad Hussain Mohd Azlan , Mustafa Wan Azani , Ahmad Zabidi Muhammad Najmi , Mardiansyah Achmad , Subari Kamalularifin
Published: August 2024

In the era of Industry 4.0, software is essential for connecting technologies, creating smart systems, and driving innovation across industries. There are several challenges and limitations related to software in Technical and Vocational Education and Training (TVET), such as software cost, software piracy, and limited modification access to the software. This demonstrates the demand for new approaches that may deal with these issues and offer alternatives by using the open-source software. The paper aims to explore on the utilization and impact of Open-Source Software (OSS) in TVET based on three main themes: (1) hardware compatibility using OSS, (2) teaching and learning aids using OSS, and (3) online learning practice using OSS. Employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach, the research, based on 21 articles selected from Scopus and Eric databases, reveals that OSS is compatible with hardware used in TVET programs, offers diverse teaching and learning aids, and is suitable for online learning environment. These findings underscore OSS's potential as an alternative in meeting TVET requirements, fostering dynamic learning environments, and improving pedagogical approaches, accessibility, and cost-effectiveness in TVET institutions.