bluuebunny/crossref_metadata_2025 huggingface dataset:
Математична модель комплексної ідентифікації безпілотних ударних засобів терористичного впливу на об’єкти критичної інфраструктури України, що охороняються, виявлених різними засобами виявлення
Authors: Азаренко Олена , Гончаренко Юлія , Дівізінюк Михайло , Фаррахов Олександр , Слободенюк Юрій
Published: November 2024

Розробляється математичну модель хвильового виявлення безпілотних ударних засобів терористичного впливу на об’єкти критичної інфраструктури України, що охороняються. Спочатку систематизуються деякі аспекти теорії пошуку. Потім аналізуються закономірності оптимальної фільтрації, що характерні для активних радіоелектронних засобів. Після чого розглядається некоректно поставлене завдання визначення відповідності прийнятих хвильових спектрів, ідентифікаційним образам, які маємо. Потім дамо опис типових ситуацій комплексної ідентифікації виявленої цілі набором радіоелектронних засобів та синтезуємо шукану математичну модель.
The impact of knowledge retention practices on employee turnover in knowledge-intensive firms
Authors: Cynthia Chidimma Obiano-Igbokwe
Published: November 2024

This study examines the impact of knowledge retention practices on employee turnover in knowledge-intensive organizations in Lagos State. The study focuses on mentorship programs and succession planning as a significant set of practices that impact employee retention. It, therefore, seeks to assess the impact of these practices on turnover intentions among employees in marketing and consulting firms. Using descriptive statistics, analysis of correlation, and multiple regression, the study analyzed the data obtained from 29 employees surveyed using Google Forms. The findings indicated that mentorship programs and succession planning reduce intentions of employee turnover, though succession planning had a higher significant level compared to mentorship programs. Such findings suggest that the appropriate implementation of these practices serves to raise organizational stability and reduce turnover. The only limitations are those concerning sample size and reliance on self-reported data, which could be improved to further develop the long-term implications for knowledge retention practices in future research.
Keywords:  Knowledge Retention, Employee Turnover, Mentorship Programs, Succession Planning, Knowledge-Intensive Firms.
Evaluating the impact of experiential learning on entrepreneurial intentions among university students in emerging markets
Authors: Olatunbosun Onaopemipo Olalekan
Published: November 2024

This study aims to have an insight into the experiential learning impact on entrepreneurial intentions among university students in emerging markets. Obafemi Awolowo University, Ile-Ife, is chosen to be the focus of this study. The intention is to find out how programs of internships, Students Industrial Work Experience Scheme (SIWES), trade fairs, entrepreneurial summit, and competitions create an impact among students with high propensities toward entrepreneurship. This study has used a descriptive, correlative, and regression analysis approach to assess the relationship of these experiential learning activities with entrepreneurial intentions using a questionnaire with a sample size of 230 students, both undergraduate and postgraduate. The findings indicated that internship and SIWES are more robust drivers of building entrepreneurial intention when compared to the trade fair. These findings show that structured and immersive learning is crucial in the instillation of an entrepreneurial mindset. The study concludes by making recommendations to universities and policymakers on how to develop experiential learning programs so as to better equip the student for entrepreneurial ventures.
Keywords:  Experiential Learning, Entrepreneurial Intentions, University Students, Internships, Emerging Markets.
Marketing communication and enterprise performance: A focus on the use of new media advertising in sales of products
Authors: Iyadi Rollins Chiyem  , Odhegba Oghenekome
Published: November 2024

This study examined the effect of new media advertising on performance of small and medium enterprises: A focus on selected manufacturing firms in Delta State, Nigeria. The study's specific objectives were to investigate how social network advertisements affect the performance of small and medium enterprises, to determine the effect of web-based advertisements on the performance of small and medium enterprises, and to determine how the placement of advertisements on customers' online forums affects the performance of small and medium enterprises. The study used a survey research design. The survey included 250 participants from chosen telecommunications businesses in Asaba, Delta State. The sample size is one hundred fifty-four (154) utilising Taro Yamani. Respondents were chosen from each of the designated Asaba telecommunications enterprises using a stratified sample approach. The study found that social network ads, web-based advertisements, ad placement, and social media communication all had an impact on brand performance. The study finds that clients should be continually astonished rather than bored when it comes to social media material, thus they must believe that the effort is ongoing and that something is occurring at all times. The report suggests that businesses assess their social media marketing KPIs. For example, if they want to measure awareness, they could track growth, likes, subscribers, and brand awareness. Engagement, influence, and recommendations are important factors to consider when assessing loyalty. Engaging clients online to request recommendations would also provide the organisation with insights into co-innovation.
Keywords:  New Media, Advertising, Social Network Advertisements, Web-Based Advertisements, Small And Medium Enterprises.
O IMPACTO DA INTELIGÊNCIA ARTIFICIAL NA INTERPRETAÇÃO DE EXAMES DE IMAGEM E NA PRÁTICA CLÍNICA RADIOLÓGICA
Authors: Jucá Jéssica Amaral Guimarães , Almeida Ana Caroline Mascarenhas de , Santos Daniele Conceição dos , Araújo Elton John Nunes de , Moreira Lívia Arroyo , Tessinari Matheus da Silva , Farias Maura Cavalcante de Assis , Azevedo Sabrina Costa Carrizo da Silveira , Knupp Antonio Jorge Ferreira
Published: November 2024

Introdução: Nos últimos anos, a inteligência artificial (IA) tem emergido como uma tecnologia de grande impacto na medicina, especialmente na radiologia. O desenvolvimento de algoritmos de aprendizado tem proporcionado avanços significativos na interpretação de imagens médicas, resultando em análises mais precisas e eficientes. Esses progressos estão transformando a prática clínica radiológica, melhorando a precisão diagnóstica e facilitando a detecção precoce de doenças. Objetivo: O objetivo deste estudo é avaliar criticamente o impacto da IA na radiologia, considerando aspectos como sua eficácia no diagnóstico, a otimização dos fluxos de trabalho em ambientes clínicos e os desafios éticos e práticos relacionados à sua implementação. Método: Realizou-se uma revisão sistemática da literatura em bases de dados como PubMed e Scopus, abrangendo estudos entre 2019 e 2024, com critérios rigorosos de inclusão e exclusão. Resultados: Os resultados indicam que a IA tem demonstrado um impacto positivo, melhorando a precisão diagnóstica em modalidades radiológicas como tomografia, ressonância magnética e radiografias. Além disso, contribui para a otimização dos fluxos de trabalho ao reduzir o tempo de análise e facilitar a triagem de casos complexos. Contudo, ainda existem desafios consideráveis, como vieses nos conjuntos de dados utilizados para treinar os algoritmos e a falta de transparência em seus processos decisórios, o que pode gerar desconfiança e limitar sua ampla adoção. Conclusão: A IA tem potencial para revolucionar a radiologia, aumentando a eficiência e precisão diagnóstica. No entanto, melhorias na representatividade dos dados e na regulamentação são essenciais para garantir sua implementação segura e eficaz na prática clínica.
EXPERIMENTAÇÃO COMO FERRAMENTA PEDAGÓGICA: CONTRIBUIÇÕES PARA O ENSINO DE CIÊNCIAS E MATEMÁTICA
Authors: Silva Maria Luiza Ribeiro Bastos da , Salgueiro Cláudia Daniele Barros Leite , Silva Filho Lourival Gomes da , Beltrão Maria Regina de Macedo , Silva Edna Matilde dos Santos Soares da , Silva Rubens Antônio da
Published: November 2024

A experimentação desempenha um papel crucial no ensino de ciências e matemática, contribuindo para a construção do conhecimento e o desenvolvimento de competências essenciais. Este estudo teve como objetivo analisar na literatura científica a importância e os impactos da experimentação no ensino dessas disciplinas, destacando como as práticas experimentais promovem a construção ativa do conhecimento e o desenvolvimento das competências dos alunos. Para isso, adotou-se uma abordagem de revisão integrativa da literatura, que permitiu a síntese de evidências sobre a temática. A questão central abordada foi: Como as atividades experimentais contribuíram para a construção ativa do conhecimento e o desenvolvimento das competências dos alunos nas disciplinas de ciências e matemática? A busca por artigos relevantes foi orientada por cinco palavras-chave: "experimentação em ensino", "ensino de ciências e matemática", "aprendizagem ativa", "metodologias ativas" e "formação de professores". Os critérios de inclusão abrangeram publicações entre 2019 e 2024 que discutissem a relação entre experimentação e as disciplinas em questão, além de estarem disponíveis na íntegra em periódicos. Os resultados revelaram que as atividades experimentais promovem uma compreensão mais profunda de conceitos, desenvolvem habilidades investigativas e aumentam a motivação dos alunos. Adicionalmente, observou-se que a experimentação possibilita a identificação de fragilidades no aprendizado e facilita a contextualização do conhecimento teórico. A abordagem ativa também se mostrou eficaz na promoção do trabalho em equipe e da comunicação entre os alunos. Conclui-se que integrar atividades experimentais no ensino de ciências e matemática é fundamental para transformar essas disciplinas em experiências mais dinâmicas e relevantes. A pesquisa evidencia a necessidade de formação docente adequada para implementar tais práticas de forma eficaz, ressaltando que a experimentação deve ser uma parte integrante do currículo escolar, capaz de engajar os alunos e promover aprendizagens significativas.
ADOECIMENTO MENTAL EM UNIVERSITÁRIOS: REVISÃO DE LITERATURA
Authors: Veras Romeria Davina Vieira , Souza Maria Andrea Pereira de , Damascena Janaína Costa de Souza , Oliveira Geane Silva , Souza Anne Caroline de , Medeiros Renata Lívia Silva Fônseca Moreira de
Published: November 2024

INTRODUÇÃO: A vida social moderna e o imediatismo não oportuniza a reflexão para pensar na grandeza de conseguirmos sobreviver a tantas obrigações, compromissos, deveres e tarefas a realizar, este estudo trata sobre O adoecimento mental de alunos Maria e consiste em uma análise das dificuldades enfrentadas pelos alunos para concluir um curso superior, associado a intensa elevação do sofrimento mental desses alunos. OBJETIVO: Analisar os motivos que levam ao adoecimento mental em universitários. METODOLOGIA: A pesquisa tratou de uma revisão integrativa da literatura, baseada na seguinte questão norteadora: quais motivos levaram ao adoecimento mental em universitários? A coleta de dados ocorreu entre os meses de julho e agosto de 2024, utilizando a base de dados da Biblioteca Virtual em Saúde (BVS), incluindo as bases de dados Scientific Electronic Library Online (SciELO), Literatura Latino-Americana e do Caribe em Ciências da Saúde (Lilacs) e Medical Literature Analysis and Retrieval System Online (Medline). Foram utilizados como descritores em ciências da saúde (DeCS): alunos, adoecimento mental e universitários, combinados com o operador booleano AND. Os critérios de inclusão adotados foram artigos publicados entre os anos de 2019 a 2024, disponíveis em português de forma gratuita, que abordassem a temática e estivessem disponíveis na íntegra. Foram excluídos artigos duplicados, em espanhol, inglês, monografias, artigos incompletos, dissertações e aqueles que não se alinhavam à proposta do projeto. Os dados foram apresentados por meio de quadros e tabelas e confrontados conforme a literatura. RESULTADOS E DISCUSSÃO: a universidade é um fator significativo no adoecimento dos estudantes, com 23,8% relatando transtornos mentais, como ansiedade e depressão, antes de ingressar. Universitários com diagnóstico clínico enfrentam dificuldades nas habilidades sociais, resultando em sentimentos negativos. A ansiedade, impulsionada por fatores estressores, compromete o desempenho acadêmico, e a pressão do ambiente universitário pode levar ao abandono do curso. O uso de substâncias como psicoestimulantes e cannabis é comum, com usuários apresentando maior incidência de problemas sociais e transtornos mentais, além de riscos de desenvolver sintomas psicóticos. CONCLUSÃO: A saúde mental dos estudantes universitários é preocupante, com altos índices de ansiedade e depressão, exacerbados pela pressão acadêmica e pelo uso de substâncias como estimulantes e cannabis. O suporte psicológico e o desenvolvimento de habilidades sociais são essenciais para melhorar esse cenário.
IMPROBIDADE ADMINISTRATIVA: UMA ANÁLISE TEÓRICA ACERCA DA MUDANÇA DO ELEMENTO SUBJETIVO E LIMITES NO ROL DO ART. 11 DA LEI Nº 8.429/1992
Authors: Lopes Isaías Menezes Lopes , Silva José Carlos Ribeiro da
Published: November 2024

O princípio da moralidade administrativa no Brasil exige que o agente público atue com honestidade e em conformidade com normas éticas e legais. A imoralidade administrativa, portanto, é compreendida como uma conduta desonesta e associada à má-fé. A improbidade administrativa, que resulta de tais condutas, é definida como um desvio de valores e abuso de poder em benefício próprio ou de terceiros, causando prejuízo ao bem comum. A antiga Lei de Improbidade Administrativa permitia a modalidade culposa, baseada em negligência ou imprudência, mas a nova Lei n. 14.230/21 eliminou essa possibilidade, exigindo prova efetiva de dolo específico. Essa mudança, embora alinhada com a doutrina que enfatiza a má-fé, gerou críticas devido à complexidade de comprovar o dolo específico e à dificuldade de aplicar efetivamente as sanções. O Supremo Tribunal Federal confirmou que a nova norma não é retroativa e se aplica apenas a casos ainda não transitados em julgado, resultando na improcedência de ações baseadas na modalidade culposa. A alteração legislativa, ao exigir um nível mais alto de prova e excluir o dolo genérico, pode representar um obstáculo ao objetivo da lei de prevenir e reparar danos à Administração Pública. Portanto, é essencial equilibrar a aplicação da lei para garantir a efetividade no combate à corrupção e a proteção do interesse público sem impor sanções excessivas.
HERMENÊUTICA JURÍDICA: A SOLUÇÃO PARA OS “HARD CASES”
Authors: Teixeira Glauber Vinícius Lopes
Published: November 2024

Este trabalho visa explorar o campo da hermenêutica jurídica, analisando sua importância e aplicação na interpretação das normas do ordenamento jurídico brasileiro. A hermenêutica jurídica é essencial para a compreensão e aplicação do direito, que avança e se desenvolve todos os dias. Dessa forma, esse método interpretativo tem aplicação de modo a servir como uma ponte facilitadora entre a letra da lei e a realidade prática, entre o pensamento do legislador à época da elaboração da lei ao momento presente. Ademais, salienta-se sua extrema importância na solução de casos concretos contemporâneos de alta complexidade – conhecidos por “hard cases” – que exigem do aplicador do direito uma habilidade e conhecimento muito além da mera interpretação gramatical do texto legal, de um simples silogismo, a partir de premissas básicas e uma simples conclusão, mas o uso de diversas ferramentas jurídicas de hermenêutica contemporânea e seus métodos modernos para a solução do caso. Ainda nesse viés, a Hermenêutica Jurídica não oferece respostas prontas, mas sim, ferramentas para a interpretação das leis. Nos "hard cases", a combinação de métodos interpretativos, a aplicação de princípios jurídicos e a análise de precedentes permite ao intérprete alcançar uma solução justa e equitativa, respeitando a complexidade e a dinâmica do direito e da sociedade. Assim, revela-se a importância contínua da hermenêutica no direito e a necessidade de um intérprete jurídico bem preparado para enfrentar os desafios dos "hard cases", contribuindo para um sistema jurídico mais justo e eficaz.
COMBINAÇÃO DE BENZODIAZEPÍNICOS COM PSICOTERAPIA NO DESFECHO DO QUADRO DE ANSIEDADE: UMA REVISÃO SISTEMÁTICA
Authors: Lisboa Lorena Lopes , Silva Thaís Santos da , Souza Thalia Araujo Macedo , Neves Júlia Gabriela Carvalho , Santos Camilly Vitória Melo dos , Santos Vinicius Pedreira Almeida
Published: November 2024

Introdução: Benzodiazepínicos têm sido amplamente utilizados desde a década de 1960  no tratamento da ansiedade e insônia, atuando no sistema nervoso central. No entanto, o uso prolongado pode ser prejudicial, mascarando questões subjacentes e exigindo uma abordagem terapêutica mais cuidadosa. A combinação de benzodiazepínicos com psicoterapia surge como uma alternativa promissora no manejo de transtornos de ansiedade. Objetivo: Revisar a literatura sobre a eficácia da combinação de benzodiazepínicos e psicoterapia no tratamento de transtornos de ansiedade. Metodologia: Esta revisão sistemática utilizou buscas em bases de dados como PubMed, Cochrane Library, PsycINFO, Embase e Scopus, com foco em artigos publicados entre 2012 e 2022, em português e inglês, que avaliaram adultos com transtornos de ansiedade tratados com a combinação de benzodiazepínicos e psicoterapia. Resultados: A combinação de benzodiazepínicos com psicoterapia mostrou-se mais eficaz do que o uso isolado de qualquer um dos tratamentos em vários transtornos de ansiedade, particularmente no transtorno de ansiedade generalizada (TAG) e no transtorno do pânico. Estudos indicam que os benzodiazepínicos oferecem um alívio rápido dos sintomas, o que pode facilitar a adesão inicial à psicoterapia, especialmente em pacientes com níveis elevados de ansiedade. Além disso, a psicoterapia, especialmente a Terapia Cognitivo-Comportamental (TCC), tem um efeito duradouro na redução da ansiedade e na prevenção de recaídas a longo prazo, o que diminui a dependência dos benzodiazepínicos.  Entretanto, alguns estudos sugerem que o uso prolongado de benzodiazepínicos pode prejudicar o progresso na psicoterapia, atenuando o desconforto emocional necessário para o processo terapêutico. Também foram observados efeitos adversos significativos associados ao uso prolongado de benzodiazepínicos, como dependência e efeitos cognitivos, ressaltando a importância de uma administração cuidadosa. A análise revelou que a combinação é mais vantajosa no início do tratamento, mas a retirada gradual dos benzodiazepínicos é recomendada para evitar a dependência a longo prazo. Conclusão: A revisão aponta que a combinação de benzodiazepínicos com psicoterapia oferece benefícios significativos no manejo de transtornos de ansiedade, especialmente em termos de alívio imediato dos sintomas e mudanças comportamentais sustentáveis. No entanto, o uso prolongado de benzodiazepínicos deve ser cuidadosamente monitorado devido ao risco de efeitos adversos. A abordagem integrada pode ser particularmente útil em casos graves de ansiedade, mas o foco em estratégias de longo prazo, como a psicoterapia, é crucial para manter os resultados e reduzir a dependência farmacológica.
Regional Rapid Mapping for First Responders - Turkey 2023 Earthquake
Authors: Brauchle Jörg , Geßner Matthias , Kraft Thomas , Hein Daniel , Lesmeister Michael , Gonschorek Julia , Bock Marius , Berger Ralf
Published: November 2024

Abstract. In disaster scenarios, up-to-date information about the affected areas is of fundamental importance, especially for Search and Rescue (SaR) teams. Although the usual space-based optical remote sensing systems provide an overview, the ground resolution of several dozen centimeters per pixel does not reveal many important details. In addition, clouds can delay the recording of the affected area for days. The approach presented here intends to address these problems. SaR teams are enabled to independently map the terrain assigned to them immediately upon arrival. These rapid maps are made easily accessible to all organizations and teams involved in the operation without delay. For the 2023 earthquake mission in Turkey, a SaR team accredited by the United Nations (UN) was equipped with a specific aerial camera and a vertical take-off and landing fixed wing drone. This system is capable of recording almost 7 km2 per hour at a ground resolution of 3 cm per pixel. The maps were made available worldwide within seconds via radio and internet connection during the flight using a web map service and visualized in the INSARAG ICMS dashboard. In addition to operational aspects, the process chain from the acquisition of the images to the publication of the rapid maps on various geographic information systems (GIS) is described. Additional benefits, the required infrastructure and the need to integrate this capability into the certified SaR teams are discussed.
Lessonia-1 SAR Project for Improving the Disaster Management in Brazil
Authors: Costa Felipe A. L. , Rocha Fábio H. F. , Gotelip Matheus R.
Published: November 2024

Abstract. The Lessonia-1 Synthetic Aperture Radar (SAR) Project is a significant initiative by the Brazilian Air Force (FAB). It involves the deployment of a constellation of low-orbit satellites, including Carcará I and Carcará II SAR-based microsatellites with dual purposes, addressing both military and civilian needs. The Lessonia-1 satellites provide real-time data for disaster response and management. They monitor natural events such as earthquakes, wildfires, floods, landslides and enhancing surveillance of the Exclusive Economic Zone (EEZ) and border control operations. By capturing SAR images, Lessonia-1 satellites enhance situational awareness during emergencies, enabling timely interventions and resource allocation. SAR technology enables satellites to penetrate cloud cover, providing valuable observations of terrain, even in regions like the Amazon rainforest. Space Operations Center (COPE) has been tasked to acquire imagery from Lessonia-1 SAR to support joint operations to mitigate natural disasters, for instance, flooding and wildfires. This paper aims to explore the characteristics and implementation of the Lessonia-1 SAR Project, operating in X band, with VV polarization imagery in different imaging modes and resolutions to support the wildfire and flooding events in Brazil. The study concluded that Lessonia-1 SAR imagery effectively provide timely and accurate geospatial information for disaster management.
Lessonia-1 SAR time-series for identifying flooded areas
Authors: Lima Sidney A. , Costa Felipe A. L. , Bias Edilson S. , Sano Edson E.
Published: November 2024

Abstract. The catastrophic floods that hit Rio Grande do Sul, Brazil, in May 2024 underscored the urgent necessity for sophisticated flood monitoring and management methods. Notably, Synthetic Aperture Radar (SAR) satellite imagery has proven to be an essential resource for detecting flooded regions and evaluating the extent of flooding, even in challenging weather conditions. The Lessonia-1 SAR project represents a significant advancement in Brazil’s technological capabilities, particularly in enhancing flood management. By providing continuous and precise imagery monitoring, it plays a crucial role in mitigating flood risks. During heavy rains in the southern Brazilian State of Rio Grande do Sul, the Space Operations Center (COPE) was tasked to acquire imagery from Lessonia-1 SAR to support operations aimed at mitigating the impact on residents' lives. The purpose of this study is to assess the feasibility of utilizing Lessonia-1 SAR imagery, operating at X band with VV polarization, using a time-series approach for identifying flooded areas. The results demonstrate that utilizing imagery from October 2022 (before) and May 2024 (after) with normalization between both images enables the identification of flooded areas of interest. Additionally, the study employs false-color composition (R:after, G:before and B:normalization) to visualize the flooding curve in blue.
Near-realtime Location Specific Messaging During Extreme Bushfire Events
Authors: Barton Jack , Nishino Akihiko , Kohtake Naohiko , Westrin Hitomi , Shimada Manabu , Guo Runjie , Ichikawa Ryunosuke , Li Jin , Canbulat Ismet , Zlatanova Sisi
Published: November 2024

Abstract. Providing information to emergency responders and citizens is one of the most critical aspects during bushfire events. In many cases ground-based infrastructure might be malfunctioning or destroyed and satellite communication might appear the only option. This paper concentrates on the use of the QZSS satellites to provide short messages early warning. The paper provides a preliminary overview of the initial investigations, development and testing of an emergency management system for preparedness and response to extreme bushfire events in Australia. We examine how emergency modelling data can be used to assist a central command centre in generating location-based information during a crisis.
داء الأكياس العدرية في المواشي المذبوحة في مدينة القبة- ليبيا
Authors: صالح وفاء , المحجوب مبروكة
Published: November 2024

داء الأكياس العدرية هو أحد الأمراض الطفيلية المشتركة التي تنتشر على نطاق واسع في جميع أنحاء العالم ومنها ليبيا، مسبباً مشاكل صحية وخسائر اقتصادية للإنسان والحيوان. وفي هذه الدراسة التي أجريت في مدينة القبة فقد تم تجميع البيانات المتعلقة بالحيوانات التي تم ذبحها والحيوانات المصابة بداء الأكياس العدرية بواسطة استمارة لجمع البيانات والمقابلات الشخصية مع العاملين في مسلخ المدينة. كما تم فحص (102) كيس تم عزلها عن أجزاء مختلفة من حيوانات مصابة وتم تحديد خصوبة الأكياس بتفريغ السوائل العدرية وفحصها للتأكد من وجود رؤوس الديدان داخل هذه الأكياس. أما الحيوية فتم تحديدها بصبغ هذه الرؤوس بمحلول صبغة الأيوسين 0.1%. وقد بينت نتائج الدراسة أن معدلات الإصابة بداء الأكياس المائية بين الحيوانات المذبوحة كانت 4.3%. وكانت الأغنام والإناث والحيوانات التي عمرها أكثر من سنة هي الأكثر عرضة لهذه الأكياس. وقد كانت نسب خصوبة وحيوية الأكياس المائية التي تم فحصها هي 49 % و69.4 % على التوالي. وكانت هذه النسب أعلى في الأكياس المعزولة عن الأغنام وفي تلك الموجودة في الكبد وفي الأكياس الكبيرة. ويستنتج من هذه الدراسة أن الأغنام تلعب دوراً رئيسياً في انتشار داء الأكياس المائية وذلك كونها الأكثر استهلاكاً من قبل السكان والأعلى في معدلات الإصابة بهذه الأكياس، كما أن معدلات خصوبة وحيوية الأكياس المائية مرتفعة جداً بينها.
Financial Inclusion, Environmental Quality, and Economic Development in Asian Economies: A Panel Data Analysis
Authors: Rehman Atiq ur , Anwar Talat , Jahanzaib  , Khizar Huzaifa
Published: November 2024

The objective of this study is to explore the effect of Financial Inclusion and Environmental Quality on Economic Development of some selected Asian economies. For this purpose, panel data of some Asian economies has been taken from 2004 to 2023 from the World Development Indicators. The results are estimated by using the Fixed Effect Model and Random Effect Model, descriptive statistics, correlation, and causality analysis. The results of Fixed Effect model reveal that GDP is significantly increased by Internet Subscribers & Mobile users (Financial Inclusion variables), FDI, Government expenditure and Carbon dioxide emission while GDP is insignificantly increased by energy use in the Asian economies. The Fixed Effect model suggests policy implications for Asian economies, focusing on digital connectivity, FDI attraction, targeted public expenditure, sustainable growth practices, and energy efficiency.
Analisis Pengaruh Indeks Pembangunan Manusia Terhadap Tingkat Pengangguran Terbuka di Kota Palangkaraya
Authors: Harati Rima
Published: November 2024

Penelitian ini bertujuan untuk menganalisis pengaruh indeks pembangunan manusia terhadap tingkat pengangguran terbuka di Kota Palangkaraya. Lokasi penelitian adalah Kota Palangkaraya dengan menggunakan periode 2011-2023. Penelitian ini menggunakan alat analisis regresi linier sederhana dan pengujian asumsi klasik dengan menggunakan program SPSS. Hasil analisis menunjukkan bahwa variabel indeks pembangunan manusia tidak mempunyai pengaruh yang signifikan terhadap tingkat pengangguran terbuka di Kota Palangkaraya. Berdasarkan uji asumsi klasik, data penelitian berdistribusi normal, tidak terdapat multikolinearitas dan tidak terdapat gejala heteroskedastisitas
Analisis Efisiensi Teknis Intervensi Stunting di Provinsi Jawa Tengah Tahun 2019-2023
Authors: Anggie Anggie Neva Deliza , Nenik Woyanti
Published: November 2024

Angka prevalensi stunting pada balita di 18 kabupaten/ kota di Provinsi Jawa Tengah lebih tinggi daripada se-provinsi Jawa Tengah yang sebesar 20,7 persen pada tahun 2023. Tujuan penelitian adalah untuk menganalisis efisiensi teknis intervensi stunting pada biaya, sistem, relatif antar kabupaten/ kota di Provinsi Jawa Tengah, dan target perbaikan untuk daerah yang belum efisien. Variabel yang digunakan dalam penelitian ini adalah variabel input, output intermediate, dan output. Penelitian ini menggunakan data sekunder dari 35 kabupaten/ kota di Provinsi Jawa Tengah periode 2019-2023 yang dikumpulkan dengan metode dokumentasi dan dianalisis dengan metode Data Envelopment Analysis. Hasil penelitian ini adalah 8 kabupaten/ kota di Provinsi Jawa Tengah yang sudah efisien secara teknis pada biaya dan 2 kabupaten di Provinsi Jawa Tengah yang sudah efisien secara teknis pada sistem. Tidak ada satupun kabupaten/ kota di Provinsi Jawa Tengah yang sudah efisien secara keseluruhan selama periode penelitian
Independent National Electoral Commission (INEC) and Election Postponements: Trends, Socio-Economic Effects and the Future of Nigeria’s Electoral Process
Authors: R. O. Dode, , V. E. Ita,
Published: November 2024

Election postponement has gradually crept into the political lexicon and is fast becoming a tradition in Nigeria’s electoral process that has sequentially marred the conduct of elections in the country as evident in 2011, 2015, 2019 and 2023 general elections among others. This has raised serious concerns as to the integrity of the electoral process and the preparedness of INEC to conduct free, fair and credible elections in the country. The essence of this paper was to assess the trends and socio-economic effects of election postponements and its impacts on Nigeria’s electoral process. The paper is historical and descriptive in nature and utilized relevant data obtained wholly from documentary sources which were analysed within the context of structural functional theory. From the analysis, it was gleaned that the electoral umpire has not learned from its previous sloppy preparations and mistakes, despite significant condemnation from Nigerians across political divides. Moreover, the paper established that security challenges, logistics inadequacies and court verdicts contributed to the postponement of elections, which resulted in severe socio-economic losses for the voting public, electoral commission, political parties, security agencies, election observers, and media outlets. Accordingly, the paper recommended, among others, that the government and other stakeholders in Nigeria’s electoral process should work to ensure that adequate pre-emptive measures are put in place in advance of future elections. Again, the Electoral Act 2022 should be amended to provide for electronic registration and voting, to accommodate Nigerians in diaspora.
Medicinal Plants Approach for Diabetes Mellitus-A Computational Model
Authors: Tyagi Khushali , Kumar Deepak , Gupta Richa
Published: November 2024

The multidimensional metabolic syndrome that includes diabetes mellitus poses a serious threat to world health. There is an increasing interest in researching herbal remedies for their possible therapeutic advantages, even as traditional allopathic treatments continue to be widely used. This work throws light on the multiple ways of metabolism and biochemical interactions of medicinal plants in the control of glucose level, highlighting their crucial role in the process. The work clarifies several herbal extracts' efficacy and safety profiles, such as Aloe vera, Garlic, Gurmar, Bitter Melon, Neem, Tulsi, and through a thorough literature review and empirical evidence. These plants, which are abundant in bioactive substances like tannins, flavonoids, and alkaloids, show promise in treating insulin resistance, improving pancreatic function, and controlling blood sugar level. A further assessment of the rising risk associated with diabetes mellitus is discussed, and a differential equation model for diabetes mellitus is developed to minimize the complications. When using medicinal plants to treat diabetes, several factors are considered, including blood sugar level, sugar intake activity, and plasma insulin concentrations. The stability criterion for the mathematical model is examined through the system of differential equations. A representation highlighting the medicinal plants that can aid individuals with diabetes mellitus is provided. The blood sugar level, insulin generalization variable and plasma insulin concentration have all been measured at different points in time. Aloe vera, Gurmar, Garlic, Tulsi, Bitter Melon and Neem are among the medicinal plants selected for their demonstrated anti-hyperglycemic properties due to their easy availability in India. Mathematical solutions were calculated for every plant and proved to be steady.
The Impact of Leadership Styles, Cultural Dimensions and Values on Academic Leaders
Authors: Dhingra Deepika , Srivastava Sanjay , Srivastava Nandini
Published: November 2024

This study investigates the cultural dimensions, values, and leadership styles of school leaders in Indian K-12 and European schools, specifically focusing on cross-cultural differences. The objective is to explore how leadership styles and cultural orientations differ between Indian and European school leaders and to examine how these variations impact organizational culture and decision-making processes. A non-experimental quantitative research design was employed, utilizing standardized instruments such as the Multi-factor Leadership Questionnaire (MLQ-Form 6S), OCTAPACE, and the Scale of Individual Cultural Values (CV) to measure leadership styles and cultural dimensions. Data were collected from 165 Indian leaders across Punjab, Haryana, Delhi-NCR, and Uttar Pradesh, as well as 156 European leaders from Croatia, Hungary, Poland, and others, using purposive and convenience sampling methods. Independent t-tests and Discriminant Function Analysis (DFA) were used to compare the two regions' leadership styles and cultural orientations. The findings reveal that Indian school leaders predominantly demonstrate transformational and laissez-faire leadership behaviors, influenced by hierarchical structures prioritizing collective goals and authority delegation. Indian leaders scored higher on openness, trust, and collaboration dimensions, which align with collectivist and hierarchical cultural norms. In contrast, European leaders emphasized confrontation, authenticity, and individual autonomy, reflecting a preference for more egalitarian and individualistic decision-making approaches. These insights contribute to a deeper understanding of how leadership and cultural values shape educational practices in different contexts.
Dynamics of Weed and Productivity in Summer Green Gram (Vigna radiata L.) by Using Different Nitrogen Levels and Weed Control Techniques in South-Eastern Odisha
Authors: Sar Koushik , Pal Arunabha , Choudhury Md. Riton , Kumar Chunchu Suchith , Manasa Pilli , Sarangi Subhashree , Adhikary Nayan Kishor , Nandi Priyanka
Published: November 2024

A field experiment was carried out at ARS, Faculty of Agricultural Sciences, SOADU, Bhubaneswar, on Dynamics of weed and productivity in summer Green Gram (Vigna Radiata L.) by using different nitrogen levels and weed control techniques in south-eastern Odisha during summer, 2022. The experiment was conducted in split plot design with three replications comprising fifteen treatment combinations. The main plot had three levels of nitrogen, and the sub-plots used five weed control methods. The most prevalent weeds in the experimental plots were Poa annua, Digitaria sanguinalis, Echinochloa colona, Cleome viscose, Ageratum conyzoides, Portulaca oleracea and Melochia corchorifolia. According to the result, dry weight and weed density obtained for each crop growth stage were lower under 75% nitrogen. Similarly, two-hand weeding at 15 and 30 days after sowing reduced dry weight and weed density to the lowest level that was on par with ready-mix of pendimethalin + imazethapyr @ 0.75 kg ha-1 pre-emergence control. Similar to 100 % N application and maximum growth in terms of all yield parameters was observed under 125% nitrogen. In terms of weed control, pre-emergence treatment of the ready-mix herbicide was closely followed by two-hand weeding at 15 and 30 days after sowing, which produced the maximum seed yield (930.56 kg ha-1) and stover yield (2397.11 kg ha-1) for green gram. In comparison to the plots receiving two hand weeding and a ready-mix herbicide treatment, the seed yield in the untreated weed plots was 51.70 and 50.88% lower, respectively.
Performance Analysis of Millimeter-Wave Propagation Characteristics for Various Channel Models in the Indoor Environment
Authors: Varshney Parul , Singh Ritesh Pratap , Jain Rakesh Kumar
Published: November 2024

Due to the recent surge in the proliferation of smart wireless devices that feature higher data speeds, there has been a rise in demand for faster indoor data communication services. Moreover, there is a sharp increase in the amount of mobile data being generated worldwide, and much of this data comes from residential wireless applications like high-definition TV, device-to-device communication, and high data rate indoor networks (i.e., local and cellular). These technologies need large capacity, high data rate indoor wireless networks with huge bandwidth. Consequently, a greater interest exists in implementing an effective and trustworthy indoor propagation model for next-generation wireless systems operating in the massively bandwidth-rich millimeter wave (mm-wave) frequency range. The analysis of mm-wave propagation characteristics in an indoor environment using the ray tracing approach is proposed in this paper. Propagation modeling for 60 GHz bands is included. The aspects of wideband propagation characteristics such as angular spread, path loss, delay spread, and power delay profile are modeled in this paper.  The position of transceivers, antenna effect, and attenuation, in the hallways, and stairwells will all be considered while determining the propagation parameters. This includes wave propagation characteristics like absorption, reflection, and diffraction by building structures and furniture. The specifications for propagation characteristics are included in the article for developing indoor local and cellular networks. In this paper, the IRT model has been tested at 60 GHz for potential mobile communication and is identified as the best method for predicting signal attenuation caused by objects, barriers, or humans within buildings in internal millimeter wave transmission.
Socio-economic Variables and their Effect on Education in India
Authors: Dubey Vijay Anand , Ranjan Rakesh , Nangia Richa
Published: November 2024

This study canvass the association between educational attainment and a range of socio-economic indicators in India, such as GDP per capita, employment rates, literacy rates of poverty, and innovation capability. Regression models are used in the research to examine the associations between Mean Years of Schooling (MYS) and Expected Years of Schooling (EYS), two important educational metrics, and these socio-economic outcomes. It is fact that most people believe that education is key and contributes greatly to the social and economic development of a society. The current study focuses on trying to evaluate the extent of influence of education in the economic and social spheres of India with the hope that such insights will help understand better the implications of educational gains. The research assesses the link between MYS and EYS and the chosen indicators with the assistance of regression analysis. National databases were analyzed and explored so as to establish the effectiveness and the strength of the relations of each outcome with educational factors. The table figures depict the ways through which education contributes positively to the socio-economic advancement by showing the significant contributions of MYS and EYS towards GDP per capita, GNI per capita, literacy rates, poverty levels, and capacity for innovation. However, the effect of education on income or employment rates was not pronounced as other employment factors were likely to play a bigger role than education levels. The findings of this study highlight how it is when an adequate budget for education is provided that this, in turn, aids the attainment of economic growth, poverty alleviation and increased innovation levels. Apart from enhancing the availability and the standards of education, policy makers must focus on employment and other economic conditions so as to serve national development effectively. Additional study is necessary as the relationships between education and other sociophysical problems, particularly those related to employment, are rather complex and need to be investigated further.
Impact of Emotional Well-being on Job Performance: A Study Based on Service Sector Professionals
Authors: Kapoor Renuka , Kamra Vishal , Khurana Poonam
Published: November 2024

Emotional well-being is an important part of holistic wellness. Emotional well-being involves an individual's overall positive feelings and their general outlook on life. By investing in the emotional well-being of their employees, firms can get significant business benefits such as improved performance, productivity, and commitment from employees, which in turn lowers attrition rates. The study aims to empirically investigate the factors influencing emotional well-being and their impact on the job performance of service sector professionals.  A survey method was employed to gather responses from professionals in the service sector across various industries. The collected data, comprising 318 responses, underwent analysis using the partial least squares structural equation modelling approach. The findings from the study establish personality traits, Mindfulness and Resilience as factors affecting emotional well-being and a positive impact on job performance is observed. This study helps organisations understand that increasing the emotional well-being of professionals is one of the important parameters for their job performance. Future researchers may try to explore the other factors affecting emotional well-being and their impact on job performance.
Feature Ranking Using Novel Consistency Measure by Normalized Standard Deviation and Proposal of Three Novel Global Features for Online Signature Verification
Authors: Kar Biswajit , Chetry Bhimraj Prasai , Das Sayan
Published: November 2024

Signature is a behavioral biometric that evolves throughout a person’s life. Feature extraction and ranking are very important steps towards online signature verification in order to achieve high efficiency. In our case, we have extracted 48 global features. A novel feature ranking technique based on consistency measure using normalized standard deviation is proposed here and is compared with well-established mRMR based ranking. The use of normalized standard deviation formula is the novel approach for feature ranking. Moreover, we have proposed three novel global features for consistency measure and mRMR based ranking. These three features has shown its importance in consistency based ranking as well as in mRMR based ranking. Consistency estimation of global features is important in one-class classification framework, where only the genuine signatures are available. All the features that are ranked by consistency measures and its weighting factors of feature vector are computed for every signer. More consistent features has given more weight for verification. Feature ranking shows the importance of each features for a particular system. Also it helps in feature selection to select the more discriminating features for a particular system and removing all irrelevant features. It saves the computational time and size of the model. Different global features has different scaling factor. Generally, normalization is done before ranking but in our technique we have ranked our features without normalization. Because normalization disrupt the statistical consistency. Therefore, we have used min-max normalization where all the features are converted to (0-1) range after ranking. In our proposed system, the proposed phase related global features shows more consistency in our ranking process. Similarly well-established mRMR feature ranking has also ranked our proposed novel features number 48 (Standard deviation of the phase), 43 (Entropy of shape signature function) and 47 (Mean of phase) within top 13 features. It is seen that both our proposed novel feature ranking technique based on consistency measure and well-established mRMR based ranking has shown almost similar performance. The proposed algorithms are verified with SVC 2004 database.
QUERCETIN AS A POTENTIAL THERAPEUTIC AGENT IN HYPERTENSION COMPLICATED BY CONNECTIVE TISSUE DYSPLASIA
Authors: Fedorov Yuriy , Kovpak Alona , Pyndus Volodymyr , Golota Sergіy
Published: November 2024

This article summarizes data on the effect of quercetin during the treatment of arterial hypertension, complicated by connective tissue dysplasia. Currently, numerous studies are being conducted to study the role of various genes in the development of arterial hypertension. One of the risk factors for hypertension, which remains insufficiently studied, is collagen pathology - undifferentiated connective tissue dysplasia (UND). The presence of connective tissue in all organs and systems, its common origin with mesenchyme, smooth muscle, blood, and lymph leads to dysplastic changes in any organ and system. Among the many metabolic agents in the treatment of hypertension in combination with DST, the bioflavonoid quercetin, which has a pronounced antioxidant effect, deserves the most attention. The use of water-soluble quercetin in the complex therapy of patients with hypertension in combination with DST reduces the frequency of recurrence of hypertensive crises in the post-hospital period, reduces the number of complications, leads to a decrease in blood stabilization, pressure, additional hypotensive effect.
Water Insecurity and Its Impact on Health: Lived Experiences from Rawalpindi, Pakistan
Authors: Asif Muhammad , Fatima Bilqees , Rupathunga Epa Pulsie Handunmali , Abbas Muhammad
Published: November 2024

Water insecurity, characterized by poor water quality and limited access to safe water, is a leading contributor to health hazards globally, yet its specific impacts remain underexplored in Pakistan. This qualitative study investigates the perceived health consequences of water insecurity in Rawalpindi, Pakistan, focusing on the communities of New Lalazar and Gorakhpur. Using ethnographic methods, including participant observation and semi-structured interviews with 80 purposively sampled individuals, the study uncovers prevalent perceptions of waterborne diseases, primarily gastrointestinal disorders like dysentery, diarrhea, and cholera, alongside dermatological issues such as rashes and itching. The high salt concentration in the local water is believed to cause premature aging symptoms, including grey hair, hair loss, high blood pressure, kidney stones, and excessive phlegm production. Psychological stress stemming from the financial and time burden of securing water further exacerbates the community’s challenges. This research highlights the dual impact of physical illness and psychological distress, both intensified by water insecurity in the region.