bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Local Traditional Media on Local Communities
Authors: Zhao Diyao
Published: July 2024

As a grassroots public opinion position and public opinion expression channel, local traditional media has long played an irreplaceable role in the local community. Through the investigation and analysis of the current situation of local traditional media in several regions of China, this paper discusses their role and influence in publicity, public opinion guidance, and community service. The study found that local traditional media played an active role in improving the quality of life of local people, enhancing community cohesion, and maintaining social stability. However, at the same time, it also faces challenges such as single communication channels, lagging information, and lack of professional talents. Finally, the paper puts forward countermeasures and suggestions for further giving play to the role of local traditional media.
O PACOTE ANTICRIME E SEU IMPACTO NA SOCIEDADE BRASILEIRA
Authors: Henrique Tullio Vitor , Stefanoni Luciana Renata Rondina
Published: July 2024

Este trabalho tem como tema a discussão breve sobre o Pacote Anticrime, conceito e sua origem, repressão e medidas no combate a organizações criminosas, delação premiada e consequência do pacote anticrime na sociedade brasileira. A metodologia utilizada foi a pesquisa bibliográfica, com fontes de pesquisa em doutrina, legislação sobre o assunto e internet. O objetivo do trabalho é promover o debate sobre Pacote Anticrime, e discutir no decorrer do artigo se houve eficácia após a implementação da Lei nº 13.960/2019. Os resultados apresentados no trabalho mostram a imensa dificuldade no combate a alguns crimes de natureza grave, bem como o combate as organizações criminosas, mas também apresenta os impactos positivos em relação a delação premiada e até mesmo demostrado através de pesquisas a eficácia em relação a outros tipos de delitos. Neste trabalho foi abordado o Pacote Anticrime, suas origens e medidas no combate ao crime, destacando a importância do denunciante premiado e suas consequências na sociedade brasileira, segundo pesquisa. Os resultados apontaram desafios no combate aos crimes graves e às organizações criminosas, mas também impactos positivos, como a efetividade das premiações e a redução de outros crimes.
INTERVENCIONES DE TERAPIA OCUPACIONAL DIRIGIDAS A LA POBLACIÓN INFANTIL Y ADOLESCENTE CON SOBREPESO Y OBESIDAD. UNA REVISIÓN DE ALCANCE
Authors: Martínez Roa Daniela , Mouat Peña Isidora , Ruz Rivas Karolay , Navarrete Valdebenito Mabel
Published: July 2024

La obesidad infantil y adolescente es considerada una epidemia con graves consecuencias tanto a nivel individual como poblacional. En Chile, el aumento de cifras es alarmante, y las políticas públicas no han logrado detener su ascenso. La obesidad en niños y adolescentes responde a múltiples causas, lo que complica su abordaje; nuevas perspectivas podrían ayudar a explicar y comprender este fenómeno y orientar estrategias de intervención más eficientes. El objetivo es analizar las publicaciones de intervenciones de Terapia Ocupacional en niños, niñas y adolescentes con sobrepeso u obesidad. Se realizó una revisión de alcance, utilizando las directrices PRISMA-ScR junto con las orientaciones del JBI. Se incluyen 7 artículos, todos en inglés, de los cuales el 29% son de acceso abierto y el 71% por suscripción. Las Ocupaciones/Actividades y la Educación/Entrenamiento son los tipos de intervención más utilizados, considerando el entorno escolar, comunitario y familiar como aspectos fundamentales. Existe una baja cantidad de artículos sobre este tema, siendo la mayoría de acceso limitado. Se describen lineamientos básicos de intervenciones de Terapia Ocupacional, destacando que las actividades significativas promueven cambios en rutinas y hábitos que favorecen estilos de vida saludables.
Gambaran Pemberian Hidroterapi Air Hangat dan Eco Enzyme Terhadap Nilai Tekanan Darah
Authors: Gultom Venny Mayumi , Darmansyah Ari
Published: July 2024

Tekanan darah merupakan elemen krusial dalam fungsi sistem sirkulasi tubuh. Fluktuasi tekanan darah, baik naik maupun turun, berpotensi mempengaruhi keseimbangan internal tubuh. Tekanan darah yang stabil dan dalam rentang normal penting untuk menjaga keseimbangan dalam tubuh manusia. Tekanan darah tinggi (hipertensi) dapat menyebabkan kerusakan pada pembuluh darah dan organ-organ penting seperti jantung, ginjal, dan otak. Sebaliknya, tekanan darah rendah (hipotensi) dapat menyebabkan pusing, kelelahan, dan dalam kasus yang parah, bahkan pingsan atau syok. Salah satu cara non-farmakologis untuk menurunkan tekanan darah adalah dengan menggunakan hidroterapi, seperti merendam kaki. Tujuan dari penelitian ini adalah untuk mengidentifikasi perbedaan tekanan darah sebelum dan setelah pemberian terapi rendam kaki menggunakan air hangat dan eco enzyme. Desain penelitian ini adalah pre-experiment one grup pretest-postest. Populasi penelitian ini adalah seluruh penduduk di wilayah penelitian, dengan pengambilan sampel dilakukan menggunakan teknik purposive sampling dengan kriteria inklusi berusia 20-60 tahun, sehat secara fisik, dan tanpa luka pada telapak kaki. Kriteria eksklusi mencakup wanita hamil dan subjek yang tidak bersedia berpartisipasi sebagai responden yaitu sebanyak 30 orang sebagai sampel. Terapi rendam kaki dilakukan menggunakan air hangat yang dicampur dengan eco enzyme, dengan kondisi suhu berkisar antara 38°C hingga 40°C, selama 30 menit. Hasil penelitian ini didapatkan bahwa terdapat perbedaan nilai tekanan darah sistole maupun diastole sebelum dan sesudah pemberian terapi rendam kaki dengan eco enzyme. Hasil penelitian ini menyarankan agar penderita hipertensi dapat melakukan terapi rendam kaki sendiri di rumah sebagai upaya pencegahan untuk mengontrol peningkatan tekanan darah dan mengurangi risiko komplikasi, sehingga dapat meningkatkan kualitas hidup mereka.
Assessing Artificial Intelligence in Judicial System
Authors: BN SRIKANTH ,   RNS Institute Of Technology Bangalore,India, V Sowmya ,   RNS Institute Of Technology Bangalore,India
Published: July 2024

Abstract—Emerging technology such as artificial intelligence employs machines to mimic human behavior and is dependent on computers and huge data.By looking at large amounts of data, applying algorithms, and visualizing the information, people may apply artificial intelligence.The use of various forms of technology can replace many decision-making processes in the modern era.Nowadays, a lot of courts are looking at using AI in the legal system.Artificial intelligence is used to provide relevant resources, pass/expire tests, provide early warnings at every access connection time, and more.Inequality and corruption in the court system can also be resolved, which is advantageous for decision- making supported by intelligence.An examination of this article demonstrates that artificial intelligence is required to combat crime within the legal system and facilitates the shift. from general to diligent labor and is helpful in enhancing the legal system.Over 8 million instances were seen for the first time in 2017, with only 100,000 cases ending.Nevertheless, 4,444 million patients must be closed by 2020 due to the smart experiment involving more than 10 million patientsfor the firsttime.Although a lot has changed, we still need to create and enhance corporate policies, safeguard intelligence from private access, and regulate corporations. has the same thinking and human brain in mind.It might be required to support decision-making. Index Terms—— Artificial Intelligence, Courts,Judges;
Thermo gravimetric and Antimicrobial analysis of 4-hydroxy-3-(3-(4-hydroxy-3,5-dimethoxyphenyl)acryloyl)-6-methyl-2H-pyran-2-one chalcone and their metal complexes
Authors: Jawale Balaji H ,   Department of chemistry, B. S. S. Arts Science & Commerce College, Makni, Dist. Osmanabad, M.S., India
Published: July 2024

In the present paper, the some of first transition series metal complexes derived from 4-hydroxy-3-(3-(4- hydroxy-3,5-dimethoxyphenyl)acryloyl)-6-methyl-2H-pyran-2-one chalcone were synthesized from Dehydroacetic acid and 4-hydroxy-3,5-dimethoxy benzaldehyde (syringaldehyde). The ligand was characterized on the basis of elemental analysis, UV, IR, Mass, 1H NMR and antimicrobial activity. All the complexes were characterized by elemental analysis, UV, magnetic susceptibility measurements, IR, TGA-DTA & antimicrobial activity. The ligand acts as a bidentate chelate and coordinates through two oxygen atoms of ligand i.e complex formed by 1:2 ( metal: ligand ) ratio. The thermal stability of the complexes was studied by thermogravimetry and the decomposition schemes of the complexes are given. The ligand and its metal complexes were screened for antimicrobial activity against Bacillus Cereus, Bacillus Megaterium, Shigellaboydii and Escherichia Coli bacteria, and Saccharomyces Cerevisiae, Aspergillus Oryzae and Penicillium notatum fungi were studied. Antimicrobial activity it is found that the complexes are more active than their parent ligand. Keywords: Transition metal complexes; magnetic susceptibility; Chalcone; Oxygen donar ligand; TGA-DTA; Antimicrobial activity.
Experimental And Numerical Analysis of Impact Strength of Fiber Metal Laminates Made of Aluminium with GFRP
Authors: Kathiravan Mr. I , Kavitha Prof. K
Published: July 2024

The benefits of fiber-reinforced matrix systems and metallic materials are combined in fiber- metal composite technology. The usage of fiber metal laminates is a result of the growing need for lightweight materials. In our work, fiber metal laminates are created utilizing aluminum-6061. Glass fiber that is single, double, or triple layered is bonded using the hand layup process and Epoxy-LY556 and Hardener-HY951. In this work, a single layer, double layer, and triple layer GFRP specimen made of aluminum, glass, and epoxy fiber metal laminate (FML) was created in accordance with ASTM D 7136 standards. A low velocity impact testing equipment was used to examine the impact behavior of specimens made of aluminum, glass, and epoxy fiber metal before experimental findings were obtained. The experimental results demonstrate that the impact strength of the composite will change as the number of GFRP layers increases. Utilizing ANSYS software and the ACP Pre post and Transient Structural Analysis Method, another numerical simulation was carried out. ABACUS analysis was used for material optimization, and the outcomes of the model and optimization were compared in order to validate the suggested numerical model. Due to its strong strength and low density, FML is frequently employed in the aerospace industry and wind turbine blades. Keywords: FML, Aluminium, GFRP, Resin, Impact Strength, Numerical Analysis.
FLIGHT TICKET PRICE PREDICTION
Authors: Nagarjun Mudagal ,   Department of MCA,BIET,Davangere, R Roopa
Published: July 2024

The study uses past flight schedules, route data, and ticket prices to estimate airline ticket costs using machine learning regression. For ease of use and functionality, it has admin and user modules. Registering and logging in allows users to upload flight data for precise cost estimates. Ensuring continuous efficacy, the admin module makes data administration and system maintenance easier. The objective is to improve overall travel planning experiences by providing travelers with data- driven insights to help them make wise decisions and maximize the value of their airline ticket purchases. Keyword: Machine learning, Flight ticket Prediction, Flight fare.
Building a Generative Adversarial Network for Image Synthesis
Authors: Chandra B. Yashas ,   Department of Information Technology Malla Reddy College of Engineering & TechnologyHyderabad, India.
Published: July 2024

Generative Adversarial Networks (GANs) have emerged as a powerful class of generative models, capable of synthesizing realistic images by leveraging adversarial training. It explores the process of building a Generative Adversarial Network for image synthesis, delving into the underlying architecture, training methodology, and potential applications. Generative Adversarial Networks typically run unsupervised and use a cooperative zero- sum game framework to learn, where one person's gain equals another person's loss. The proposed Generative Adversarial Network architecture consists of a generator network that learns to create images from random noise and a discriminator network trained to distinguish between real and generated images. Through an adversarial training process, these networks iteratively refine their capabilities, resulting in a generator that produces increasingly realistic pictures and a discriminator with enhanced discriminative abilities. Generative Adversarial Networks are an effective tool for producing realistic, high-quality outputs in a variety of fields, including text and image generation, because of this back-and- forth competition, which results in the creation of increasingly convincing and indistinguishable synthetic data.
RECOGNITION OF LEAF ILLNESS DETECTION
Authors: M Nayan Naik , R Roopa
Published: July 2024

Plant disease early detection has a major impact on crop quality and financial stability, makingit essential for India's agriculture. The precision of current detection techniques is lacking, which puts yields at risk. In order to identify cotton leaf illnesses and classify leaves as healthy, unhealthy, or sick, this study suggests a prediction method. This focused strategy enables focused therapies and aids in the prevention of disease spread. The framework can also be modified to identify diseases that affect tomato plants with the goal of increasing agricultural yields, lowering costs, and promoting environmentally friendly farming methods. Keyword: Leaf, Diseases, Support Vector Machine (SVM), Convolutional Neural Networks(CNN).
E-Commerce Product Recommendation System Using Machine Learning
Authors: M Darshan , C Ashwini
Published: July 2024

The goal of the machine learning-powered e- commerce product recommendation system is to provide a complete, end-to-end web-based platform that improves online shopping by making insightful product recommendations. This system has features for administrators as well as users, and safe access requires login credentials. To extract information from product photos, the system's backend uses machine learning models, specifically convolutional neural networks (CNNs) for image analysis. The user's buying experience is enhanced by the use of sophisticated machine learning techniques, which guarantee relevant and accurate recommendations. To sum up, our study highlights how important machine learning-driven recommendation systems are for increasing consumer engagement and generating income for e-commerce platforms. Through constant innovation and improvement, we strive to provide businesses with state-of-the-art resources to enable them to provide individualized and significant purchasing experiences. Key Words: User Experience, Product Recommendation, Neural Network (CNN’s)
Pengaruh Kepercayaan Nasabah dan Kualitas Layanan Elektronik Terhadap Kepuasan Nasabah Menggunakan Aplikasi BSI Mobile
Authors: Rahmi  , Syafei M. Nur Imran , Ditilebit Norbertha
Published: July 2024

Penelitian ini bertujuan untuk mengetahui pengaruh kepercayaan dan kualitas layanan elektronikterhadap kepuasan nasabah menggunakan aplikasi BSI Mobile.Jenispenelitian yang digunakan adalah penelitian kuantitatif dengan metode asosiatif kausal. Populasi dalam penelitian ini adalah seluruh nasabahBank Syariah Indonesia Kantor Cabang Jayapura dengan menggunakansampel sebanyak 96 nasabah. Metode analisis data yangdigunakan pada penelitian ini, yaitu: 1) Uji instrumen menggunakan uji validitas dan reliabilitas. 2) Uji Hipotesis melalui analisis regresilinear berganda dengan memperhatikan koefisien determinasi (R2),Uji t dan Uji F. Sedangkan untuk menganalisis data menggunakanbantuan dari aplikasi SPSS versi 25. Hasil penelitian ini menunjukkan bahwa (a) Kepercayaan berpengaruh positif dan signifikan terhadap kepuasan nasabah, (b)Kualitaslayanan elektronik berpengaruh positif dan signifikan terhadap kepuasan nasabah (c) Kepercayaan dan kualitas layanan elektronik berpengaruh positif dan signifikan terhadap kepuasan nasabah menggunakan aplikasi BSI mobile banking. Kata Kunci :Kepercayaan Nasabah, Kualitas Layanan Elektronik, Kepuasan Nasabah.
Uso de los alimentos ancestrales ecuatorianos en el desarrollo de procesos físico-químicos: implicaciones didácticas y culturales
Authors: Quiroz Carrión Estefanía Nataly , Mera Ponce Sandra Verónica , Parra Alvarez Paulina Fernanda , Chiriboga Cevallos Alex Armando
Published: July 2024

Introducción: El aprendizaje de la química permite comprender los procesos fundamentales que rigen la materia y sus transformaciones. Enseñar ciencia a través de situaciones cotidianas facilita un aprendizaje más profundo y significativo para los estudiantes.
Objetivo: Analizar los procesos físico-químicos en la cocina tradicional ecuatoriana, con el propósito de fortalecer la capacidad de los estudiantes para relacionar conceptos químicos y resaltar el valor patrimonial y gastronómico de las recetas ancestrales.
Métodos: Elaboración práctica de diversos platos tradicionales, la documentación de los cambios observados, la revisión bibliográfica de los procesos asociados y la socialización de los resultados.
Resultados: Los estudiantes exploraron los cambios físicos y químicos en la preparación de alimentos tradicionales ecuatorianos. Se enfatizó la efectividad de técnicas didácticas como la exposición para ilustrar la interacción de la materia en la cocina tradicional, subrayando la complejidad de las mezclas en estos platillos y su relevancia cotidiana.
Conclusiones: La realización de actividades multidisciplinarias, como aprender química a través de actividades gastronómicas, no solo mejora el aprendizaje, sino que también profundiza la comprensión de la cultura gastronómica, promueve el orgullo por las prácticas culinarias tradicionales y fomenta una comprensión de la química en la vida cotidiana.
Perception of Burden by Families of Persons with Auditory Neuropathy Spectrum Disorders: A Pilot Study
Authors: Yuvaraj Pradeep , Ezhumalai Sinu , Chetan K  , Abubacker Rahina , Rajasekaran Aravind Kumar
Published: July 2024

The heterogeneous nature of ANSD regarding onset, degree of hearing impairment, and non- availability of treatment options has made them more dependent on other family members than those with sensory neural hearing loss. Non-availability of treatment or rehabilitation measures would be a primary factor to add more burdens to the caretakers. No previous studies have explored the perception of burden by families in auditory neuropathy spectrum disorder.
Social Casework with Young Adult having Obsessive-Compulsive Disorder and High Family Accommodation: A Case Study
Authors: Shibin Fathima , Ezhumalai Sinu
Published: July 2024

Background: Obsessive-Compulsive disorder (OCD) is an anxiety-spectrum disorder that causes significant impairment in the bio-socio-occupational functioning of the individual. The family accommodation in OCD leads to significant caregiver burden and negative expressed emotions. This article describes the social casework process with a young adult having OCD and high family accommodation using a case study design. Clients and family members' knowledge about the illness improved and there was a reduction in the family caregiver burden after social casework. This article highlights the multiple psychosocial issues faced by the individual and his family, and the social casework process in managing family accommodation in OCD.
Bio-Sociocultural Aspects of Menopause
Authors: Deepika  , Kumar Pradeep
Published: July 2024

The menopause transition is a bio-psycho-socio-cultural process. Attitudes and sociocultural perceptions provide the context within which women experience menopause. Psychological factors - including anxiety, stress, thoughts and beliefs and self-esteem - influence the experience of hot flushes. Cognitive behavioural model is described which is compatible with a bio-psycho-socio-cultural perspective. Relaxation and cognitive behavioural approaches appear to be acceptable to women, and there is some evidence for their efficacy.
Understanding Healthcare Avoidance among Elderly in India: Perceptions of Medical Expenditure as a Barrier to Hospital Treatment
Authors: Pandey Rajarshi
Published: July 2024

Healthcare avoidance among the elderly is a significant issue globally, with perceptions of medical expenditure often serving as a barrier to hospital treatment. This review explores the phenomenon of healthcare avoidance among the elderly in India, focusing on the perceptions of medical expenditure and its implications for healthcare access and outcomes. The review examines factors contributing to healthcare avoidance, including financial constraints, access barriers, cultural beliefs, and negative experiences. It highlights the impact of healthcare avoidance on health outcomes, emphasizing the need for timely diagnosis and treatment. Additionally, the review provides an overview of the demographic profile of the elderly population in India, challenges in healthcare infrastructure, and existing policy initiatives. Empirical evidence from studies examining perceptions of medical expenditure among the elderly in India is synthesized to understand the complexities of healthcare avoidance. Sociocultural and economic factors influencing healthcare avoidance are analysed, emphasizing the role of cultural beliefs, socioeconomic status, and family dynamics. Policy implications and interventions to address barriers related to medical expenditure are discussed, alongside the importance of community engagement and education initiatives. The review concludes by underscoring the need for collaborative efforts from policymakers, healthcare providers, and community stakeholders to mitigate barriers to healthcare access among the elderly in India and improve health outcomes for this demographic.
Paicor Deporte: políticas públicas de Educación Física en el período de la recuperación democrática en Córdoba (1983-1995)
Authors: Larrechea Calderón Rocío , Guzmán Salvador Cruz
Published: July 2024

La historia de la Educación Física argentina que conocemos y hemos estudiado está contada y reconstruida a partir de una revisión nacional, con gran profundidad en la Ciudad y la Provincia de Buenos Aires. No obstante, existen muchas historias que esperan ser descubiertas y narradas. En este sentido, este artículo es una revisión de la historia reciente y local en una perspectiva genealógica, enmarcada en el paradigma cualitativo de investigación. Particularmente, analiza el subprograma que formó parte del Programa de Asistencia Integral Córdoba (Paicor), implementado en el marco de la Reforma Educacional Córdoba. Esta política pública tensionó el campo de la Educación Física en el período de la recuperación democrática, desde 1983 hasta el cierre de la Dirección de Educación Física del Ministerio de Educación provincial, en 1995.
El trabajo describe y analiza el Paicor Deporte como dispositivo de la política pública y su vinculación con la Educación Física tras el retorno de la democracia. Para esta tarea se recuperan documentos oficiales del subprograma y se entrevista a personas que estuvieron a cargo de su implementación. El desafío consistió en focalizar lo no se había observado en profundidad, recuperando voces, intereses y necesidades que dieron lugar al subprograma, una de las herramientas políticas para la construcción de un sujeto político plural y democrático en la Provincia de Córdoba.
Esperanza, credibilidad política e historicidad: la construcción de la confianza y la desconfianza en las vacunas y la vacunación contra el Covid-19 en la Argentina
Authors: Visaconvsky Sergio
Published: July 2024

Desde diciembre de 2020, el Estado argentino emprendió un plan nacional de vacunación para enfrentar la pandemia de Covid-19. Pese a varias dificultades iniciales, hacia fines de diciembre de 2021 se había logrado vacunar a un alto porcentaje de la población, algo esperable por la historia de aceptación mayoritaria de las vacunas y la vacunación en el país. Sin embargo, también la campaña fue objeto de durísimos cuestionamientos de la oposición política y mediática. Mi pretensión es mostrar que estas disputas resultan inteligibles en el marco de una específica historicidad, esto es, modos locales de pensar y organizar el presente en relación con esquemas del pasado que, a su vez, hacen que ciertos futuros sean imaginables y admisibles. Mi exposición está basada en el discurso público de gobernantes, funcionarios, legisladores y políticos de distintos partidos sobre las vacunas y su aplicación durante los primeros seis meses de la vacunación, discurso relevado mediante una indagación de fuentes periodísticas, agencias gubernamentales y no gubernamentales y redes sociales y sitios web. Asimismo, incorporé información estadística para una mejor comprensión del desarrollo de la pandemia y la vacunación.
El movimiento animalista en Argentina y la emergencia de los enfoques antiespecistas sobre la relación entre ambiente y sociedad
Authors: Méndez Anahí
Published: July 2024

El objetivo del artículo es conocer los enfoques planteados por las y los activistas que se identifican con el movimiento animalista en Argentina analizando sus percepciones e imaginarios en torno a cómo interpretan la relación entre ambiente y sociedad, el concepto de especismo y el animalismo. Los resultados se desprenden de entrevistas semiestructuradas llevadas a cabo con referentes e integrantes de tres organizaciones animalistas antiespecistas. El análisis se orienta a un enfoque cualitativo para conocer y comprender las percepciones, los imaginarios, las visiones y los enfoques que sus activistas plantean para profundizar en los fundamentos y los saberes colectivos tendientes a la defensa de los animales y a la transformación de la relación especista entre ambiente y sociedad. La estrategia para la recolección de los datos se basó en el muestreo teórico. Se llevaron a cabo 20 entrevistas semiestructuradas con activistas entre 2017 y 2018. El corte temporal abarcó hasta diciembre de 2018.
Corazones de hierro: ¿los neodarwinistas contra Darwin? Disputas sobre antropocentrismo y progreso en la biología evolutiva del siglo XX
Authors: Anzoategui Micaela
Published: July 2024

En obras fundamentales como On the Origin of Species (1859), The Descent of Man (1871) y The Expression of the Emotions in Man and Animals (1872), Charles Darwin establece un claro posicionamiento anti-antropocéntrico basado en la continuidad evolutiva entre animales-humanos, y entre todos los organismos incluyendo a la especie humana. No obstante, diversos teóricos de la síntesis evolutiva moderna, los neodarwinistas, entre ellos George Gaylord Simpson y Bernhard Rensch, vuelven a instaurar el antropocentrismo en el corazón de la teoría de la evolución, aun a expensas de ideas darwinianas fundacionales, restauradas por Stephen Jay Gould. Analizaré el caso para intentar comprender cómo lo que se ha llamado la “segunda herida narcisista” infringida por Darwin a la humanidad opera en este intento que busca hacer coincidir biología y antropocentrismo en el siglo XX, a costa del propio pensamiento del padre de la biología. Para dar sentido a esta reformulación del antropocentrismo contemporáneo, seguiremos algunas pistas para comprender cómo en la cultura occidental se produce una antinomia entre dos ideas producidas en diferentes momentos de su historia intelectual: que el hombre es el centro de la naturaleza y que no lo es, escapando en ciertos aspectos a su biología mediante la excepcionalidad. La tesis de la continuidad biológica presentada por Darwin es una de las marcas más importantes de la revolución epistemológica que lleva su nombre, y aun así los herederos de su revolución la traicionan.
Editorial. Presentación del dossier Nº 33
Authors: Pezzetta Silvina , Andreatta María Marta
Published: July 2024

-
GEPATIT B KASALLIGINI DAVOLASHDA QO’LLANILADIGAN DORI VOSITALARIGA TOVAR KODI ISHLAB CHIQISH
Authors: Abdulloyev Shaxobidin Xasanboyevich , Asqarov Ibrohimjon Rahmonovich , Tojiboyeva Moxinur Abduvoxid qizi
Published: July 2024

Maqolada gepatit B kasalligida qo’llaniluvchi ayrim dori vositalarning kimyoviy tarkibi va ta’sir qilish mexanizmini inobatga olgan holda, ular uchun Tashqi iqtisodiy faoliyat Tovarlar nomenklaturasi (TIF TN) boyicha yangi kod raqami ishlab chiqishga doir ma’lumotlar bayon qilingan.
CHAKANDA VA GAZANDA O’SIMLIGINING ANTIOKSIDANTLIK FAOLLIGINI O’RGANISH
Authors: To'lqinov Iqboljon Maxamad o’g’li , Asqarov Ibrohimjon Rahmonovich
Published: July 2024

Bugungi kunda dorivor o`simliklar zamonaviy va an`anaviy tibbiyotda turli kasalliklarni oldini olish va davolashda muhim rol o`ynashi hech kimga sir emas. So’nggi paytlarda in vivo va in vitro usullaridan  foydalangan holda turli dorivor vositalarining farmakologik ta’sirini o’rganishga katta e’tibor qaratilmoqda. Ma’lumki chakanda va gazanda kabi dorivor o’simliklar tabiiy antioksidantlarga boy. Mazkur maqolada chakanda va gazanda o’simligining shifobaxshligi, foydali tomonlari keltirilgan. Chakanda va gazanda o’simligining antioksidantlik xususiyati o’rganilgan.
KANAKUNJUT VA ZIG’IR O’SIMLIKLARI URUG’I TARKIBIDAGI MAKRO VA MIKRO ELEMENTLAR MIQDORINI O’RGANISH
Authors: Asqarov Ibrohimjon Rahmonovich , Jalilov Boburbek Abduraxim o'g'li
Published: July 2024

Mazkur maqolada Respublikamiz hududida o’suvchi zig’ir va kanakunjut o’simligi 1:1 nisbatda olingan na’munalari elementlar tarkibi induktiv bog’langan plazmali optik emission spektrometriya usulida 61 ta kimyoviy element borligi o’rganilgan. Tadqiqot natijalariga ko’ra makro, mikro, va zaharli elementlar tahlil qilindi.
Applications of Large Language Models in Cloud Computing: An Empirical Study Using Real-world Data
Authors: Li Hanzhe , Wang Sherry X , Shang Fu , Niu Kaiyi , Song Runze
Published: July 2024

This study investigates the integration of Large Language Models (LLMs) in cloud computing, focusing on their impact on resource allocation and management. The research employs Bayesian inference and Markov Decision Processes (MDPs) to enhance predictive accuracy and decision-making efficiency. Over a month, data collected from AWS, GCP, Azure, IBM, and Oracle reveals significant improvements in CPU utilization, memory usage, network latency, and storage performance. LLMs demonstrated superior performance compared to traditional models, optimizing task scheduling and reducing idle times. Bayesian inference refined resource predictions, while MDPs provided a structured approach to dynamic optimization, resulting in lower latency and better system efficiency. The findings suggest that integrating LLMs can transform cloud service management, offering enhanced performance, reliability, and cost savings. Future research should explore long-term trends, security implications, and the ethical aspects of AI deployment in cloud environments.
Enhancing Momentum Trading with Macroeconomic Indicators- A Strategic Approach
Authors: Apte Mohit
Published: July 2024

Traditional momentum trading strategies capitalize on existing market trends but often overlook broader macroeconomic contexts, potentially limiting their effectiveness during periods of economic fluctuation. This paper introduces an enhanced momentum trading strategy that incorporates key economic indicators—GDP, inflation, unemployment rates, and interest rates—to provide a more robust framework capable of adapting to changing economic conditions. By integrating these macroeconomic factors, the strategy aims to improve predictive accuracy and performance stability. Using data from the S&P 600 SmallCap Index, we modified the conventional momentum calculation to include weighted contributions from these indicators, creating a comprehensive 'new momentum' score. Preliminary back testing, comparing this enhanced strategy against traditional methods, shows promising improvements in risk-adjusted returns. This paper not only details the methodology and results of integrating economic indicators into momentum trading but also discusses the implications for risk management and potential areas for future research.
Navigating the Evolution: Current Trends and Future Directions in Programming Languages
Authors: Salet Jyotsna , Rakholia Dr. Kalpesh , Rahul Odedara , Jignesh Khant , Jay Karavadra
Published: July 2024

In the complex realm of software development, the progression of programming languages exemplifies the field's dynamic nature. This review paper embarks on a meticulous journey, delving into historical milestones, dissecting current trends, and peering into the crystal ball of potential future developments. Our research goes beyond existing literature, offering a thorough analysis that examines the strengths and weaknesses of each era. This provides a deep understanding of how programming languages continuously influence the software development landscape.
An Optimized Approach for Emotion Detection in Real- Time for Twitter Sentiment Analysis with Natural Language Processing
Authors: Devi Sangeeta , Saran Munish , Yadav Rajan Kumar , Maurya Pranjal , Tripathi Upendra Nath
Published: July 2024

The automated method of identifying and deciphering the emotions expressed in written text is called sentiment analysis (SA). In the last ten years, SA has become incredibly popular in the NLP (Natural Language Processing) domain. Web-based social networking websites have become a powerful tool for influencing user perceptions and how businesses are marketed. People's opinions are very important when analyzing the effects of information propagation on people's lives in a large-scale network such as Twitter. The polarity and predisposition of a large population towards a particular topic, item, or entity can be determined by data analysis of the tweets. These days, it's easy to see how such analysis is applied in a variety of contexts, including public elections, movie marketing, brand endorsements, and many more. We will build a program that examines the content of tweets on a specific subject in this project. The main goal is to present an approach for polarity score analysis in Twitter streams with noise. We suggest an emotive categorization of a large number of tweets in this paper. Here, we categorize an expression's sentiments into positive and negative emotions using deep learning approaches. Motivation, fun, happiness, affection, neutral, relief, and surprise are other categories for positive feelings, while anger, boredom, emptiness, hatred, sadness, and worry are categories for negative emotions. We demonstrated how to attain high emotion classification accuracy by experimenting with and evaluating the approach using recurrent neural networks and long-term short-term memory on three distinct datasets. Based on a comprehensive evaluation, the system achieves 88.47% accuracy for positive/negative classifications and 89.3% and 93.3% accuracy for both positive and negative subclasses, respectively, for emotion prediction using the LSTM mode
A Sociolinguistic Analysis of Traditional Marriage Terms in Awgbu-Igbo
Authors: Makinde Peter Oyewole , Ezeonye Chinenye Gift , Eme Cecilia Amaoge
Published: July 2024

This research is a sociolinguistic analysis of traditional marriage terms in Awgbu, an Igbo-speaking community in Anambra State, Nigeria. The study, which adopts a qualitative research design, aims to gain insights into the social, cultural and linguistic changes in Awgbu-Igbo regarding traditional marriage terms. For data collection, indigenous Awgbu older men and women from the five villages in Awgbu who are knowledgeable in traditional marriage practices of Awgbu were interviewed using traditional marriage list of Awgbu. Traditional marriage terms, consisting of 40 terms, were collected from their responses. The theoretical framework for data analysis is J.R. Firth’s (1957) and Fillmore (1984) Lexical Semantics Theory. The findings from this research show that traditional marriage terms have socio-cultural significance in Awgbu. These terms have also changed due to globalisation, modernisation, and Christianity. Such changes involve the eradication of the ị́gbāḿmị́ị́ ceremony and ínēnē ụ́nọ̀ rites due to globalisation. Also, the use of òbènè (calabash), ìtóòtù (ceramic pot) and ìkóḿmị́ị̄/ḿmānyá (traditional cups) are now replaced with gallons, plastic and breakable cups. Likewise, the practice of égwúìtìrìm̀mọ́nwụ́ which involves dance and music performance is no longer feasible, signaling the loss of an exciting Awgbu culture.
Uka Omenana (Godian Religion): Bridging Faith and Tradition in Neo-Traditional Igbo Religion
Authors: Chukwudebelu Ifeanyi A.
Published: July 2024

The Uka Omenana movement, also known as the Godian Religion, represents a significant resurgence of neo-traditionalism in Igboland, Nigeria, where indigenous Igbo customs intersect with Christian principles. This research examines how the movement marries traditional elements with contemporary expressions of faith, analyzing the dynamics of cultural continuity and change in the face of globalization, cultural erosion, and the encroachment of foreign ideologies. Through qualitative methodologies, including participant observation, interviews, and document analysis, the study sheds light on the Uka Omenana movement's objectives, practices, and impacts within the Igbo community. The findings contribute to scholarship in anthropology, cultural studies, and religious studies by exploring the interplay between tradition and modernity in contemporary African societies and the role of religious revitalization movements in preserving cultural identity. The research reveals how Uka Omenana seeks to infuse age-old Igbo traditions with contemporary relevance and Christian spirituality, bridging ancestral customs with modern religious beliefs to foster cultural continuity. By examining the movement's core beliefs, including its conceptions of the Supreme God, deities, ancestors, the Bible, and the Eucharist, the study illuminates the complex dynamics of syncretism and the movement's efforts to reclaim and revitalize elements of Igbo culture within a religious framework.
Pengaruh Motivasi Kerja Dan Pelatihan Terhadap Kinerja Karyawan Di Mal Pelayanan Publik Kabupaten Maros Sulawesi Selatan
Authors: Muh Fauzan Rizaldy Yusuf  , Andi Heru Susanto
Published: July 2024

The advancement of technology and globalization has led to increased competition in the workplace, including in local government settings such as Kabupaten Maros. The government's vision to achieve "Prosperous, Religious, and Competitive Maros" emphasizes the importance of having skilled and professional human resources. In public services, work motivation and training are key factors in enhancing employee performance, particularly in the Public Service Mall, to provide effective services to the community and achieve competitive advantage. This research employs an associative quantitative approach with 100 respondents and questionnaires as instruments. The analysis results indicate a negative influence of both motivation and training on employee performance. However, it is important to note that this analysis was conducted only within one Government Department without considering other variables or moderators that could impact employee performance more comprehensively.
Pedagogical Competence of Islamic Education Teachers Based on The Perspective of Indonesian Law Number 14 of 2005 Concerning Teachers and Lecturers
Authors: Rahman Muhajir Abd. ,   Department of Islamic Education, Institut Agama Islam Negeri Ambon, Ambon, Indonesia
Published: July 2024

This research examines the challenges Islamic religious education teachers in Ambon City face in meeting academic qualification standards and pedagogical competencies by Law of the Republic of Indonesia Number 14 of 2005 concerning teachers and lecturers. Even though there are continuing education and training programs, many teachers must meet the minimum Bachelor or Diploma IV qualifications. This research highlights the importance of deep understanding and educational insight for teachers in their teaching assignments. Teachers with solid theoretical knowledge are more effective in applying diverse learning methods and adapting material to student characteristics, thereby improving the quality of teaching. A good understanding of the curriculum, application of innovative learning methods, and the ability to adapt to individual student needs are essential to creating an effective and inclusive learning environment. This research shows that teachers’ ongoing efforts to improve the quality of their learning can significantly influence educational outcomes. However, teaching practices still need improvement, especially in innovation and adaptation of learning methods.
The Effect of Job Satisfaction and Job Stress on Employee Performance (Study at PT. POS Indonesia Bangkalan Branch)
Authors: Jannah Nurul ,   Faculty of Economics and Business, Universitas Pembangunan Nasional “Veteran” East Java, Indonesia, Kustini Kustini ,   Faculty of Economics and Business, Universitas Pembangunan Nasional “Veteran” East Java, Indonesia
Published: July 2024

The aim of this study is to determine the effects of work stress and job satisfaction on employee performance at the PT POS Indonesia Bangkalan Branch. In this study, fifty employees of PT POS Indonesia’s Bangkalan Branch participated as respondents. The basic data used in this study came from questionnaires that were distributed. The technique used is partial least square data analysis (PLS). The results of this study demonstrate that, although job satisfaction has a positive and significant effect, employee performance has a minor impact on workers’ performance at the PT POS Indonesia Bangkalan branch.
Kontribusi Sosial Melalui Pembagian Takjil pada Masyarakat Selama Bulan Ramadhan
Authors: Hakim Lukman , Mardianto Totok , Zulharman  , Aji Susilo , Sofa Devi Maya , Djatu Petrus Fraidy Legif Putra , Aristo Surbakti Manuel , Dedali Sindhu Hargo , Yulia Novie Noordiana Rahma , Rahayuningsih Yanti , Ulfindrayani Ika fitri
Published: July 2024

Kegiatan ini bertujuan untuk memberikan kontribusi nyata kepada masyarakat sekaligus memperkuat nilai-nilai kemanusiaan dan kebersamaan dalam komunitas Islam. Metode pelaksanaan kegiatan ini melibatkan langkah-langkah yang terencana secara sistematis, mulai dari studi pendahuluan, penyusunan proposal, hingga pelaksanaan dan evaluasi keberhasilan. Hasil dan pembahasan menunjukkan bahwa kegiatan ini memberikan dampak positif yang signifikan, seperti memenuhi kebutuhan praktis masyarakat, memperkuat ikatan antara universitas dan masyarakat, serta meningkatkan kesadaran akan solidaritas dalam komunitas. Kesimpulan dan saran menggarisbawahi pentingnya program ini menjadi kegiatan berkelanjutan yang lebih luas, peningkatan kolaborasi dengan pihak terkait, evaluasi terus menerus, dan penggalangan dana lebih lanjut.
This activity aims to make a real contribution to society while strengthening human values and togetherness in the Islamic community. The method of implementing this activity involves systematically planned steps, starting from preliminary studies, and preparation of proposals, to implementation and evaluation of success. The results and discussion show that this activity had a significant positive impact, such as meeting the practical needs of society, strengthening ties between the university and society, and increasing awareness of solidarity within the community. Conclusions and suggestions underline the importance of this program becoming a broader sustainable activity, increased collaboration with related parties, continuous evaluation, and further fundraising.
Use of Prezi Software in Making Presentations at Elementary Schools for the Independent Curriculum
Authors: Prijambodo Raden Firman Nurbudi , Wang Yuanyuan , Zou Guijiao , Sujatmiko Wandi , Masnunah Masnunah
Published: July 2024

Presentations in the form of Multimedia Presentation online can generate interest in students and help them understand the content to be communicated effectively, where the prezi program is a program that can create presentations in a modern style. and can be combined with programs in the management of many types of images and sounds, creating works that can be applied in various ways. The research objectives are 1) to find out whether the use of prezi software in making presentations is effective in elementary schools for the independent curriculum. 2) the effect of prezi software on student learning outcomes. 3) Obstacles in using prezi software. This research method uses quantitative methods, data obtained from google questionnaires from elementary school students. The results showed that prezi software was very influential on presentations in elementary schools as evidenced by student learning motivation. The conclusion of this research is that prezi software can be applied in presentations as evidenced by the results of research that the learning outcomes of elementary school students using prezi software increased by 80%.
Development and validation of the evaluation and selection criteria scale for coaches
Authors: Anthi Christina , Kipreos George , Antonopoulou Panagiota , Gdonteli Krinanthi , Kakkos Vasilios , Stavrou Nektarios
Published: July 2024

The purpose of this study was to develop and provide initial validation of a scale designed to identify the evaluation and selection criteria of 585 coaches selected to work in 237 amateur sports clubs in Attica, Greece. The development of the scale was based on the job analysis of coaching and the review of the evaluation of coaching performance. The criterion of KMO (.934) and Bartlett’s test of Sphericity test (13338.366, df 406, p < .00001) confirmed that the requirements for factor analysis were met. EFA revealed a scale of 29 items and identified six (6) factors interpreting the 73.396% of the overall variance: (1) results of coaching on athletes, (2) personal achievements of the coach, (3) design and implementation of coaching (4) competition management (5) psychological support of the athletes and (6) commitment to the club. CFA was used to test the accuracy of the construct revealed by EFA. The findings of this study support the factorial structure of the scale and its psychometric qualities in a Greek sample suggesting that the scale is valid for identifying the evaluation and selection criteria employed from amateur sports clubs to select their coaches.
Erythrocyte, haemoglobin and haematocrit do not correlate with apnoea duration among sedentary male
Authors: Putra Kukuh Pambuka , Anugroho Bayu , Karwur Ferry Fredy
Published: July 2024

In freediving, divers rely solely on a single breath. The duration of apnoea depends on the oxygen reserves, mostly derived from the air trapped in the lungs and airways. It is necessary to investigate whether erythrocyte and haemoglobin levels correlate with the achievable apnoea duration, considering their roles as oxygen binders and carriers in the blood. This study examines the correlation between erythrocyte and haemoglobin levels and apnoea duration in 12 sedentary males. Erythrocyte and haemoglobin levels were assessed through blood sample examination in a clinical laboratory by professional personnel, while apnoea duration was measured by remaining motionless in a swimming pool at a depth of 0.5 meters, with three measurements taken. Normality test results indicated that all data were normally distributed (p > .05). Pearson correlation test results revealed no correlation between apnoea duration and erythrocyte levels, haemoglobin, or haematocrit (p > .05). From the research findings, it can be assumed that these three blood biochemical variables cannot be categorized as oxygen reserves and only function as oxygen transportation media.