bluuebunny/crossref_metadata_2025 huggingface dataset:
Petru Rezuș și folclorul literar bucovinean
Authors:   Universitatea „Ștefan cel Mare”, Suceava, Crăciun Sergiu
Published: May 2024

Literary folklore in Bukovina represents an important segment for the development and evolution of ethnographic culture in Romania, especially through several important folklore collectors in this area, one of them being Petru Rezuș. Along with his predecessors and contemporaries, the theologian from Suceava, with in-depth studies at Chernivtsi, realized in a modern manner a corpus of folk texts of epic and folk lyric (including legends, stories, songs and ballads) from the Rădăuți region and its surrounding area. Having his teacher Leca Morariu, another famous Bukovinian folklorist, as a mentor and role model, Petru Rezuș learned not only the techniques of the collection of folk material, but he improved and personalized his working style, in terms of bringing together the collected popular texts. Petru Rezuș is especially distinguished by the multitude of the collected folk texts, which offer, both in content and structure, a special discourse, with various and numerous Romanian mythological symbols. In this paper, we aim to briefly present the most significant aspects regarding the theme of the collected folk texts but especially, highlighting some mythological and anthropological symbols, which beautify the Bukovinian folk discourse. At the same time, the analysis of the texts, relevant to the topic of the report, aims to identify and present symbolic characters for the history and evolution of the Bukovinian literary folklore. As for the bibliography used for the elaboration of the scientific content of the material, several specialized works dedicated to the folklorists of Bukovina can be listed, such as: The Encyclopedia of Bukovina, coordinated by Emil Satco, the History of Romanian Literature in Bukovina, 1775–1918, by Constantin Loghin, but also a series of press articles on the subject. The corpus of texts collected by Petru Rezuș is representative for the literary folklore in Bukovina.
KEFUNGSIAN KELUARGA DALAM KALANGAN BELIA DI MALAYSIA
Authors:   Universiti Utara Malaysia, DAUD YAAKOB
Published: May 2024

ABSTRAK Artikel ini bertujuan untuk mengenal pasti amalan kefungsian keluarga dalam kalangan belia di Malaysia. Kajian ini berbentuk kuantitatif dengan menggunakan pendekatan tinjauan keratan rentas (cross-sectional survey) bagi mengumpul data kajian. Populasi kajian ini melibatkan 16,823 orang belia yang menuntut di Institut Kemahiran Belia Negara (IKBN) seluruh Malaysia. Teknik persampelan rawak mudah digunakan untuk memilih 1,200 sampel dari populasi kajian ini. Instrumen yang digunakan ialah soal selidik Family Adaptability and Cohesion Evaluation Scales III dan soal selidik Cognitive Distortion Scale (CDS). Analisis data yang berbentuk deskriptif melibatkan pemerihalan responden seperti frekuensi dan peratusan, manakala analisis inferensi pula menggunakan ujian Ujian-t dan ANOVA. Keputusan kajian mendapati wujud perbezaan dari segi amalan kefungsian keluarga responden berdasarkan faktor zon, jantina, umur, bangsa, penempatan, kekerapan meluangkan masa, dan taraf pendidikan. Amalan kefungsian keluarga juga dilihat berpengaruh dalam mengurangkan masalah tingkah laku devian dalam kalangan belia. Kata Kunci: Kefungsian Keluarga, Tingkah Laku Devian, Belia, Institut Kemahiran Belia Malaysia
Analysis of Strategies in Improving the Quality of Education in the 3T Region
Authors: Valmay Azzahra Callistadea , Supriyanto Achmad , Sunandar Asep
Published: May 2024

This research uses qualitative literature methods reviews. Literature review is carried out by reading various sources from international and national journals. Result of Literature review found that education in Indonesia Especially in the 3T area, the quality is still low. This research aims to gain a deeper understanding of the quality of education in the 3T region by explaining the theory in more detail regarding: Definition of 3T (Tertinggal, Terdepan dan Terluar) Region, Indicators of the Low Quality of Education in Indonesia, Procedures for Improving the Quality of Education in the 3T Region, and Strategies for Improving the Quality of Education in the 3T Region.
A Review of Teaching English for Business Purposes in Morocco
Authors: Bekkaoui Hamza
Published: May 2024

This study reviews the existing literature on English for Specific Purposes (ESP), with a particular emphasis on Business English, within the Moroccan context. By analyzing the findings from various studies, this work aims to draw significant conclusions about the field of ESP and Business English. It highlights the notable challenges faced in the Moroccan higher education system, such as the prevailing perception of the dominance of French in the job market, which negatively impacts student motivation and leads to compromised teaching standards. Furthermore, the study underscores the importance of a collaborative approach in curriculum development, advocating for the engagement of a broad range of stakeholders—educators, policymakers, industry representatives, and learners—to ensure ESP instruction is closely aligned with the requirements of the job market. Innovative teaching methodologies, like Task-Based Language Teaching (TBLT), are recommended to boost student engagement and improve language acquisition. The findings of this study aim to contribute valuable insights and offer practical recommendations to enhance the teaching and effectiveness of ESP in Morocco, particularly in the domain of business English, to better prepare students for the challenges of the global and digitalized marketplace.
Cyber Security and Digital Economy: Opportunities, Growth and Challenges
Authors: Juneja Ashish , Goswami Shankha Shubhra , Mondal Surajit
Published: May 2024

The digital age has witnessed the exponential growth of the international economy, propelled by digital technology and the deepening interconnectedness of the global landscape. However, amidst this rapid expansion lies a plethora of Cyber Security (CS) risks within the Digital Economy (DE), ranging from hacker assaults to data breaches and intellectual property theft. The heightened importance of CS resonates across organizations, nations, and individuals worldwide. This study delves into the dynamics of development and expansion within the DE while concurrently addressing the looming threats to CS. Central to its analysis is the imperative of implementing efficient CS protocols, encompassing preventive measures, detection strategies, and swift response mechanisms against online threats. Moreover, the discourse extends to strategies for enhancing CS resilience through investments in infrastructure, capacity building initiatives, and public awareness campaigns, involving both corporate entities and governmental bodies. Furthermore, this research probes into the intricate interplay between cutting-edge technologies such as blockchain, Artificial Intelligence (AI), and the Internet of Things (IoT) and their impact on CS. While these technologies hold immense potential to revolutionize the DE landscape, they concurrently introduce novel security vulnerabilities that malicious actors may exploit. In conclusion, the study underscores that while the DE offers boundless opportunities for development and innovation, robust CS measures stand as indispensable safeguards against online threats, ensuring the sustained viability and integrity of the sector in the long term.
Nazi Almanyası’nda Serbest Zaman: Kraft durch Freude Örgütünün Açık Alan Aktivitelerine Yönelik Propaganda Posterleri Üzerine İnceleme
Authors: Ekinci Erdoğan
Published: May 2024

Nazi ideolojisinin Alman halkı tarafından kabul görmesi büyük bir öneme sahipti. Naziler iktidara gelişlerinin hemen ardan tüm kitle iletişim araçlarını kontrolleri altına almış ve bunları propaganda amacıyla yaygın bir biçimde kullanmıştır. Nazi ideolojisi kapsamında başta işçiler olmak üzere tüm Alman halkının serbest zamanlarını çeşitli faaliyetlerle değerlendirmeleri sağlanmış ve bu doğrultuda Kraft durch Freude (KdF) örgütü kurulmuştur. Örgüt tarafından spor, sanat, kültür, seyahat, turizm gibi geniş bir yelpazede hizmetler ortaya konmuştur. Bu araştırma, Nazi Almanyası’na yer alan KdF örgütüne ait propaganda posterlerinde açık alan aktivitelerinin nasıl biçimlendiği ortaya koymak amacıyla yapılmıştır. Araştırmada, KdF’ye ait açık alan aktiviteleriyle ilişkili propaganda posterleri, nitel araştırma yöntemlerinden biri olan göstergebilim analizi ile incelenmiştir. Araştırma kapsamında incelenen posterlerde, açık alan aktivitelerine katılımın genellikle, güç, mutluluk, dinlenme, macera gibi çeşitli duygu durumlarını hedef kitleye yansıtmaya çalıştığı ve Nazi ideolojisi çerçevesinde Alman halkına birlik, beraberlik ve milliyetçilik duygularını ortaya çıkarmaya çalıştığı tespit edilmiştir. Sonuç olarak, KdF tarafından uygulanan propaganda faaliyetlerinin, Alman halkının serbest zamanlarını değerlendirme konusunda etkili olduğu ve totaliter bir rejim olan Nazi Almanyası’nın propaganda aracılığıyla halkı her alanda kontrol ettiği söylenebilir.
Personalización del proceso de aprendizaje mediante inteligencia artificial
Authors: Monge Vera Maryuri Mariela , Villamagua Jiménez Guiselly Maria , Aroca Izurieta Carlos Enrique , Chico Guzmán Bryan Alexander , López Velasco Jhon Eduardo
Published: May 2024

La investigación exploró las percepciones sobre el papel de la inteligencia artificial (IA) en la educación, centrándose en su capacidad para personalizar el aprendizaje y promover la equidad. Los resultados mostraron una diversidad de opiniones entre los participantes. Por un lado, hubo un reconocimiento del potencial de la IA para adaptar el contenido educativo a las necesidades individuales de los estudiantes y ofrecer oportunidades de aprendizaje más equitativas. Sin embargo, también se expresaron reservas y desacuerdos, especialmente en cuanto a la capacidad de la IA para comprender adecuadamente las necesidades individuales de los estudiantes y proporcionar intervenciones educativas efectivas. Además, se destacó la importancia de abordar los desafíos técnicos y éticos asociados con la implementación de la IA en la educación, así como de garantizar que estas tecnologías se utilicen de manera equitativa y accesible para todos los estudiantes. En resumen, si bien la IA tiene el potencial de transformar positivamente la experiencia educativa, es necesario abordar las preocupaciones y desafíos identificados para maximizar sus beneficios y promover la equidad en la educación.
Desarrollo del sistema político ecuatoriano desde la vigencia de la constitución de 2008
Authors: Dávila Toro Luis Alberto , Lara Núñez Tatiana de Lourdes , Loor Gómez Jenny Aracely , Caicedo Jaramillo Amable Francisco , Quito Guachamin Salomón Mauricio
Published: May 2024

A través de la investigación realizada, se espera ofrecer una visión completa y balanceada de los logros alcanzados, los desafíos enfrentados y las perspectivas futuras del sistema político ecuatoriano a partir de la aprobación mediante la Constitución de Ecuador de 2008, la misma que fue redactada por la Asamblea Nacional Constituyente que sesionó entre 2007 y 2008, misma que fue sometido a referéndum constitucional siendo aprobada por sufragio universal con un 63,93% de los votos válidos, este hecho determinó el fin de un amplio periodo de inestabilidad y falta de gobernabilidad en la República del Ecuador. La estabilidad política mejoró la inexistente gobernabilidad del Ecuador, aprovechando esta coyuntura se fueron imponiendo nuevas reglas electorales, las mismas que estuvieron orientadas a una concentración mayor del poder en el partido de gobierno. Se perdió la oportunidad de contar con un sistema político más participativo e incluyente se fue diluyendo, llegando a un modelo híper presidencial con un líder caudillista que descalificó a sus opositores sin importar a qué bando político pertenecieran.
Tag! You’re Home! Reunification of Pet Cats with their Owners Using a Community Engagement Approach
Authors: Dalrymple AM , Stively NE , Kreisler RE
Published: May 2024

Reunification of lost pets with their owners is a key function of municipal animal shelters but reported Return to Owner (RTO) rates are as low as 3% for cats. In contrast, the percentage of recovered pet cats found within their own neighborhoods has been reported as high as 66-75%. The purpose of this study was to measure the impact of an innovative program designed to reunite cats with their owners by returning them to their neighborhoods without intake to the shelter.
Loudoun County Animal Services, a municipal open-admission animal shelter with an annual intake of 2,300 animals (46% cats), created the Tag!You’re Home! Program (TYHP) on the assumption of positive intent by finders of free-roaming cats. The TYHP engages finders to return un-microchipped healthy social adult cats to their neighborhood after being furnished with a tag and collar with the shelter's contact information. Finders are advised to place the cat back where it was found and not provide food. If the cat is still present after 5 days (mandated stray period) and an owner has not called the shelter, the finder can bring the cat back for intake.
Between 7/1/2022 and 12/31/2023, 499 stray cats were admitted to the shelter, 273 of which were adults, and 32 cats were enrolled in the TYHP as an alternative to intake. Of these 32 cats, 10 (31%) were confirmed RTO via owner contact, 10 (31%) did not require additional services (not brought back by finder), 6 (19%) were brought back by the finder after 5 days for intake, 4 (13%) were kept by the finder, and 2 (6%) were rehomed by the finder. Of the 6 cats brought back to the shelter, 1 had an outcome of RTO through the shelter, and 5 had an outcome of adoption. Of the 493 stray cats (267 adults) admitted to the shelter that were not first enrolled in the TYHP, 79 (74 adults) had an outcome of RTO, resulting in a 16% overall RTO rate and 28% adult RTO rate. The most common outcome subtypes for cats RTOed through the shelter were owner called (20%) and microchip (48%). Cats RTOed through the shelter were found a median of 0.4 km (IQR 0.1-1.7), or approximately 4 city blocks, from home.
Over 80% of cats enrolled in the TYHP did not require intake to the shelter, and over 30% had a confirmed RTO outcome through the TYHP. While this was very similar to the 28% adult RTO rate reported during the same period for adult cats with intake to the shelter, the TYHP provided a valuable tool to RTO cats without microchips and reduced shelter intake of adult stray cats by 10%.
منظومة في مصطلح الحديث وشرحها للعلامة: فالح بن محمد الظاهري (ت: 1328 هـ ) رحمه الله تعالى: دراسة وتحقيق
Authors:   أستاذ علوم الحديث بكلية التربية جامعة ذمار, الكبسي د. طه أحمد علي
Published: May 2024

تمثل هذه الدراسة منظومة في مصطلح الحديث من نظم العلامة فالح بن محمد بن عبد الله بن فالح الظاهري وشرحها، تتناول فيها بعض أنواع المصطلح بشكل مختصر، وعدد أبياتها ست وثلاثون بيتاً. وقد كانت هذه المنظومة، كما بين الناظم في آخر الشرح، أنها عبارة عن رد لبعض الأسئلة التي وردت عليه في بيان بعض الاصطلاحات الحديثية فأجاب بهذه المنظومة وشرحها. ومؤلف هذه الرسالة من علماء المدينة المنورة، وهو إمام في اللغة والحديث، أثرى بمؤلفاته المكتبة الإسلامية وقد جاء البحث على قسمين: الأول الدراسة، وفيها التعريف بالمؤلف، ومكانته العلمية، والتعريف بالرسالة، ووصف النسخة الخطية. الثاني: اشتمل على تحقيق المخطوط، والتعليق على ما ورد فيه بما يحقق إخراجه على الصورة التي أرادها المؤلف.
Patterns of linguistic communication and their role in the success of the communication process
Authors: Abdo Al-Hakami Dr. Ali Muhammad
Published: May 2024

This simplified research revolves around the topic of linguistic communication patterns, as it is limited to tracking all the apparent patterns, and then briefly defining them. This is after classifying them according to the quality of communication into patterns (indicative, friendly, and turbulent), then the second part of it revolves around the role of those patterns in the success of the communication process, citing three communicative models, according to the classification of communicative patterns (indicative, friendly, and turbulent) with an explanation of how the process succeeds Communicative, with an understanding of the role of patterns in their success.
Inteligência Ética
Authors: Silva Flávio S. Corrêa da , Hirata Nina S. T.
Published: May 2024

Esse artigo discute a ética ao desenvolvimento de sistemas de IA. Para tanto, apresenta as duas abordagens complementares, presentes nas atividades de IA - a simbólica, baseada em sistemas lógicos, e a adaptativa, baseada em aprendizado de máquina -, discute o que é um sistema ético e as três diferentes classes desse sistema: baseada em virtudes, em deveres e na consequência de ações. Abordagem a necessidade de formulação de requisitos técnicos e de maneiras de medir como sistemas inteligentes atendem a esses requisitos. Por fim, exemplificam algumas iniciativas nessa direção.
Os Desafios da Regulamentação Jurídica da Inteligência Artificial no Brasil
Authors: Bragança Fernanda , Braga Renata
Published: May 2024

Este artigo estabelece uma relação entre a IA, as leis e o desenvolvimento de sistemas de IA para apoio às atividades do judiciário. Além disso, aponta os desafios do marco legal que está sendo debatido no Senado Federal.
Regulação da Inteligência Artificial: Ação Coletiva que Requer Governança
Authors: Almeida Patricia Gomes Rêgo de
Published: May 2024

O artigo apresenta argumentos favoráveis à regulação da IA, enfatizando a importância de obter garantia da confiabilidade dos dados e das regras de negócio utilizadas nos sistemas. Comenta sobre a necessidade de equilíbrio na regulação, que pode ser obtida combinando legislação com normas flexíveis. Por fim, discorre que, para que a regulação seja viável, é preciso que haja uma governança nacional, com a participação do Congresso e de uma agência reguladora.
Mineração de Processos e Aprendizado de Máquina: Conquistas distribuídas, mas Desafios Compartilhados
Authors: Barbon Junior Sylvio , Peres Sarajane Marques
Published: May 2024

A mineração de processos, assim como outras disciplinas inspiradas na mineração de dados, usa algoritmos de aprendizado de máquina para incrementar suas funcionalidades. As soluções em mineração de processos aproveitam o potencial do aprendizado de máquina para reduzir dificuldades inerentes a tarefas complexas. Como resultado, a proposição de soluções inovadoras na mineração de processos tem sido impulsionada em tarefas como a predição do próximo evento, o monitoramento de instâncias de processo ou a recomendação de alocação de recursos. No entanto, a aplicação de aprendizado de máquina na mineração de processos lida com desafios especiais: a modelagem do problema, seleção e configuração de algoritmos requerem atenção às características particulares da natureza dos dados (eventos) e a interpretação e utilidade dos resultados dependem da experiência em processos de negócio.
Tecnologia de Observação da Terra por Satélite Para o Monitoramento dos Biomas Brasileiros
Authors: Vinhas Lubia , Almeida Claudio A. , Ferreira Karine R.
Published: May 2024

A tecnologia de observação da Terra por satélites desempenha um papel-chave no acompanhamento das metas e indicadores dos Objetivos do Desenvolvimento Sustentável (ODS), das Nações Unidas, na medida em que fornecem informações precisas sobre o estado do planeta. Em particular, a disponibilidade de mega volumes de imagens de sensoriamento remoto, com diferentes características, tem sido explorada para a produção de mapeamentos de cobertura e uso da terra. Esse trabalho descreve iniciativas em curso no Instituto Nacional de Pesquisas Espaciais sobre esse tema.
Percepção e desenvolvimento de soft skills em discentes de Computação: Experiências do Programa Capacitação 4.0 da Unidade EMBRAPII do IFPB
Authors: D'Andrea Alexandre Fonseca , Melo Erick Augusto Gomes de , Medeiros Francisco Petrônio Alencar de , Lira Heremita Brasileiro , Silva Narjara Bárbara Xavier
Published: May 2024

O trabalho relata as experiências do primeiro ciclo do Programa Capacitação 4.0 da Unidade EMBRAPII do Instituto Federal da Paraíba, que possui o objetivo de apoiar a capacitação em soft skills via abordagem PBL (Problem/Project Based Learning) a discentes dos níveis de Ensino Médio, graduação e mestrado de Computação, para atuação em pesquisa aplicada voltada para a indústria. Foi utilizada a Matriz de Soft Skills desenvolvida pela EMBRAPII em parceria com o Senai, contemplando dez competências e suas habilidades, alinhadas com aquelas destacadas no Fórum Econômico Mundial. O impacto do Capacitação 4.0 foi verificado continuamente e, após 12 meses de acompanhamento, foram gerados Radares de Soft Skills, com a evolução no desenvolvimento de habilidades socioemocionais dos discentes, e Mapas de Aprendizagem individuais, como evidência do seu aprendizado.
Integrando o mundo físico ao virtual com a automação de processos
Authors: Barbosa Jennifer Suelen de A. , Lira Heremita Brasileiro , Rodrigues Nadja da Nobrega
Published: May 2024

Hansen et al. (2021) definem a Robotic Process Automation (RPA) como uma solução de automação low-code que permite tornar os processos mais confiáveis e padronizados com ganhos em assertividade, rapidez e otimização de recursos. A automação de um processo de qualquer área de negócio pode ser realizada através do uso de RPA, desde que tenham regras definidas. Um exemplo de processo automatizado com RPA, que ilustra uma das formas como a RPA pode ser utilizada para integrar o mundo físico e o digital, é o aplicado na área de logística e na área fiscal através da automação do processo de registro de entrada de produtos físicos, leitura da nota fiscal e cadastro das informações da nota no sistema ERP de notas fiscais da empresa, trazendo essa conexão direta com o mundo digital.
O uso do ChatGPT no ensino de programação
Authors: Melo Lafayette Batista , Moura Thiago José Marques
Published: May 2024

O artigo aborda o uso do ChatGPT no ensino de programação, explorando suas possibilidades. Sugere-se que o ChatGPT pode refinar ideias e fornecer insights para professores e alunos. O artigo apresenta dicas para aproveitar ao máximo o ChatGPT no ensino de programação como as de criação de projetos e problemas a serem resolvidos, além do aprendizado adaptativo e customizado, bem como o desenvolvimento de exercícios e desafios.
Influence of Atmospheric Rivers on Glaciers
Authors: Djoumna Georges , H. Mernild Sebastian
Published: May 2024

Atmospheric rivers (ARs) are long, narrow, and transient corridors of robust horizontal water vapor transport commonly associated with a low-level jet stream ahead of the cold front of an extratropical cyclone. These weather features are essential for Earth’s hydrological cycle, transporting water vapor poleward, delivering precipitation for local climates, and having societal repercussions, such as intense storms and flood risk. The polar regions have experienced increasing AR activity in recent years. ARs usually transport substantial amounts of moisture and heat poleward that can potentially affect glaciers and sea ice. Many studies have demonstrated that ARs cause surface melting of glaciers in Antarctica and Greenland. Predicting and understanding the characteristics of ARs under global warming is a challenging task because there is not a consensus among scientists on a quantitative definition of ARs and the tracking methods. Understanding how ARs affect the surface mass balance of glaciers is crucial to increase our knowledge of how a warming atmosphere associated with warm ocean water will impact glaciated areas. In this work, we review recent advances in AR, including the methods used to identify them, their impacts on glaciers, their relationship with large-scale ocean-atmosphere dynamics, and variabilities under future climate.
Predictive Value of Pretreatment Hematological Parameters for Response to Definitive Chemoradiotherapy in Locally Advanced Cervical Cancer: A Prospective Study
Authors: Novin Kambiz , Fadavi Pedram , Mortazavi Nafiseh , Arefpour Amir Mohammad , Dehghan Manshadi Hamid Reza , Shahin Mohadeseh , Mohammad Taheri Somayeh
Published: May 2024

Background: More than 90% of cervical cancers are related to chronic inflammation caused by HPV. Several studies have shown that laboratory hematological parameters can detect the severity of systemic inflammation. Objectives: Our current cohort study investigated the predictive role of pretreatment hematological parameters for response to definitive chemoradiotherapy in patients with locally advanced cervical cancer (LACC). Methods: Prospectively, patients with LACC who candidates for definitive chemoradiation at Shohadaye Haftom-e-Tir and Firozgar Hospitals (Tehran, Iran) were included in our study between April 2021 and December 2022. Hematological parameters were obtained from the blood sample test and peripheral blood smear before treatment. All patients diagnosed in stage IB to IVA received a similar treatment protocol and follow-up. Patients were divided into complete clinical (CR) and non-complete clinical responses (Non-CR). Leukocyte, Lymphocyte, neutrophil, platelet, hemoglobin (Hb), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR), were documented and then compared between two groups of responders. We used receiver operating characteristic (ROC) analysis to investigate the predictive value of these hematological parameters. Results: Out of 34 patients who met the inclusion criteria, 25 (73/5%) patients were complete responders and 9 (26.5%) were non-complete responders. The average number of neutrophils, leukocytes, and NLR was significantly higher among Non-complete responders. Hemoglobin in patients with non-complete responses was significantly lower than that of the other group of responders. Receiver operating characteristic curve analysis showed that the optimized cut-off values for pretreatment Hb and NLR were 11 and 2.1, respectively. Neutrophil-to-lymphocyte ratio cut-off point > 2.1 is significantly associated with larger tumor size, low Hb, high platelet, and high leukocyte. Conclusions: hematological markers such as NLR can be a simple and inexpensive predictive factor to evaluate therapeutic response to chemoradiation in LACC patients.
Cross-border factors
Authors: J. Akinyi Eurallyah
Published: May 2024

In most of the East African Community (EAC) countries factoring has been subjected to, inter alia, highly restrictive and unclear regulatory infrastructure with inaccurate terminology, capital adequacy, licence and partly-local ownership requirements, making it difficult for factors to offer their services in the other Partner States. This, therefore, impedes the freedom of movement of capital within the Community, rendering Article 76 of the Treaty for the Establishment of the East African Community (hereinafter referred to as the EAC Treaty) and Article 24 of the Protocol on the Establishment of the East African Community Common Market nugatory. Despite the EAC Treaty prohibiting unnecessary restrictions, the Partner States have exuded some exasperating nonchalance towards liberalizing their internal financial markets to allow free movement of capital. Cross-bordering factoring has been regarded as a significant vehicle that can drive the global economy to development. Despite its impressive prospects for future growth, cross-border factoring regulations within EAC Partner States domestic markets remain largely restrictive, hence impeding free movement of capital within the EAC common market. This paper, therefore, sets out to suggest reforms in the Partner States domestic markets and the Common Market that if implemented, will ensure the EAC objective of enhancing free movement of capital within the Common Market is achieved.
KONTRIBUSI PENDAPATAN USAHA TOKO KELONTONG TERHADAP TOTAL PENDAPATAN KELUARGA di DESA SINGKUP, KECAMATAN PASAWAHAN – KABUPATEN KUNINGAN
Authors: Akbari Safitri , Suwandi Suwandi , Turini Turini , Eka Septian Willy , Umar Fakhrudin Mohammad
Published: May 2024

Singkup Village. Pasawahan District – Kuningan Regency is a Village Fostered by the Academic Community of Catur Insan Cendekia University, Cirebon City. The purpose of this study was to conduct an assessment of how big the contribution of grocery shop business income is to total income in Singkup Village, Pasawahan District - Cirebon Regency. The research method that the authors use in this research is descriptive method. The population in this study were 42 heads of families, this research was a population study. Data collection techniques used in this study are observation, interviews, and documentation. The collected data is then analysed in tabular form (percentage). The results of this study indicate that: (1) the main occupation of the head of the Singkup Village family is as a farmer, construction worker, teacher, breeder, driver and private employee, (2) the average main income of the head of the Singkup Village family is Rp. 2,703,500 per month, (3) the average profit from the grocery shop business is Rp. 1,763,000.- per month, (4) the average percentage contribution of grocery shop business income to total family income is 39.47%. The contribution resulting from this research is to add insight to lecturers and students according to their field of knowledge, the campus has provided an analysis of the income contribution of grocery stalls in the Foster Village, especially those who have a grocery shop business in Singkup Village. The novelty of this research is the author's suggestion to grocery shop entrepreneurs to be able to increase their business income.
Protection of Human Rights Against Criminal Offenders in Detention Process
Authors: Maryana Ana , Farhanudin Farhanudin , Yusar Muhamad
Published: May 2024

The research aims to find out how the Protection of Human Rights for perpetrators of criminal acts in the Detention Process in the Indonesian Criminal Procedure Code. The method used in this study is normative juridical with a statutory approach and a case approach. The data used are secondary data supported by primary legal materials in the form of criminal law books and criminal procedural law books as well as secondary legal materials consisting of legal journals and literature related to the research topic. then collected and analyzed by deductive method. The results of this study state that according to the Criminal Procedure Code those who have the right to detain are investigators, public prosecutors or judges with a certain time limit. In detention must be in accordance with the law. So, detention cannot be carried out arbitrarily. The purpose of detention is for the purposes of investigation, prosecution and examination in court so that the perpetrator does not run away.
The Principle of Legality in the Perspective of Human Rights
Authors: Sri Ayuni Mela , Dion Dion , Cita Zulviah Rifda , Nurtresna Robby
Published: May 2024

The principle of legality is a principle in law that is found in almost all of the constitutions of each country. The principle of legality is very important and must be maintained for the sake of certainty of rules in a country. If seen or reviewed properly, this principle of legality is a tool that aims to protect human rights for every individual and community group. As a jurisdiction, Indonesia always strives to uphold justice in order to achieve an orderly and peaceful life. However, with the existence of the principle of legality which is a written rule to determine that no action or action is prohibited and punished, if the act has been formulated in a law. The purpose of this writing is to find out how the principle of legality is in the perspective of human rights. This study uses a normative juridical method with a case approach and a statutory approach, the data used in this study is secondary data which is analyzed deductively. The results of this study are that the principle of legality has an important role in regulating the life of a group or society. One of the important roles of the principle of legality is to protect human rights, the role and function of the existence of the principle of legality is very influential in efforts to implement human rights regulations or better known as human rights. the life of the Indonesian people.
INHERITANCE LAW IN THE PERSPECTIVE OF CUSTOMARY LAW, CIVIL LAW, AND ISLAMIC LAW
Authors: Muzakir Kahar
Published: May 2024

In order to understand the rules and intricacies of inheritance law, it is almost unavoidable to first understand some terms that are commonly encountered and known. However, there are three inheritance laws that apply in Indonesia, namely customary inheritance law, civil inheritance law, and Islamic inheritance law. Customary inheritance law is the legal rules that regulate the transmission and transition from century to century both tangible and intangible assets from generation to generation. A person becomes an heir according to civil inheritance law due to marriage and blood relations, whether legally or not. The Islamic inheritance system according to the Qur'an is actually an improvement and change from the principles of inheritance law that prevailed in Arab countries before Islam, with its patrilineal family system.
THE ENFORCEMENT OF CRIMINAL LAW AGAINST VIOLENT THEFT CRIMES
Authors: Mabsuti Mabsuti , Fitnawati WN Santy
Published: May 2024

Occasionally, technological advancements and the growth of human civilization are accompanied by an increase in human requirements. This has a negative effect because it will increase the likelihood of criminal activity. Theft with violence is a type of crime that has recently occurred in every region and has been extensively discussed, as it severely disrupts security and public order. Consequently, the purpose of this study was to investigate the enforcement of criminal law against the offense of larceny with violence. Using a normative juridical approach with a statutory approach and a case approach, secondary data with additional primary, secondary, and tertiary legal materials were analyzed qualitatively in this study. In light of these findings, Chapter XXII of the Criminal Act of Theft is governed by Articles 363, 363, and 365 of the Criminal Code (KUHP). This indicates that law enforcement officials must refer to these articles when imposing violent punishments on thieves. Violent crime Criminal law enforcement is an effort to translate concepts of criminal law justice into legal certainty and social benefits in every legal relationship. There are three factors that must always be considered in law enforcement: 1) legal certainty (Gerechtigkeit), 2) justice, and 3) effectiveness. Legal structure, legal substance, legal culture, and legal remedies (preventive and punitive measures) comprise the efforts to uphold the law in instances of theft crimes involving violence.
Understanding the Failures of Public Enterprises and Re-Engendering the Pursuit for Development in the Contemporary Nigeria
Authors: ERUDE Shalom Ufuoma , OKEREKA Onofere Princewill , TAIWO Ifeoluwa
Published: May 2024

Over the years, there have been a vacuum on service delivery, governance and citizens welfare in Nigeria. Alot of factors could be responsible for it. However, it seems the agencies set up by government to provide public goods and services are not in anyway performing near mediocre level. It is against this backdrop, this study focused on understanding the failures of Public enterprises and re-engendering the pursuit for development in the contemporary Nigeria. We made use of the historical design, which is a qualitative research method. Our data was collected from secondary means like journals, articles, text books, publications, internet, etc. The tenets of the economic development theory were used to explain our argument. From the study, it was discovered that, the public enterprises created by government to provide public goods and services have failed in many regards, despite some actions taken by the government to addressing the problems it looks like it is a step forward and two steps backwards, that the Nigerian economy is a developing one as there are some minor breakthroughs recorded overtime, privatization though a very strong solution to addressing the public enterprises failure should not be considered a blanket solution, the government must be deliberate in providing the enabling environment for private companies to thrive.
Gamifying mathematics education through Kahoot: Fostering motivation and achievement in the classroom
Authors: Jarrah Adeeb M. , Wardat Yousef , Fidalgo Patricia , Ali Nagla
Published: May 2024

This study investigates the usefulness of integrating the Kahoot application as an instructional tool to boost motivation and academic achievement among 10th-grade mathematics students in Abu Dhabi Emirate Schools. A sample of 60 10th-grade students was deliberately selected and randomly assigned to either an experimental group (30 students) instructed with Kahoot, or a control group (30 students) taught using traditional methods. A quasi-experimental approach was selected for this study to investigate a cause-and-effect relationship between the utilization of Kahoot in mathematical education and its impact on student motivation and academic achievement. A comprehensive statistical analysis, specifically employing an independent samples t-test for the motivation scale and a one-way ANCOVA for academic performance, revealed statistically significant differences favouring the experimental group. These results signify that Kahoot integration holds promise in positively influencing motivation and academic achievement for 10th-grade mathematics students in Abu Dhabi Emirate Schools. This research underscores the potential of Kahoot as a valuable educational tool, offering insights for educators and policymakers seeking to enhance student motivation and achievement through technology-integrated instruction.
IMAGE CLUSTERING BASED ON GENRES USING AUTOENCODER
Authors: Janavejirao Abhishek Barandooru , Maro Alberto Di , Soglia Pietro
Published: May 2024

Image Processing is popular in the 21st century and plays an important role in many industries. This paper mainly focuses on clustering the images using deep learning algorithms. When I start looking for fast and smart analysis. Artificial Intelligence algorithms are major in solving the problem and predicting images by using machine learning and deep learning models. By using algorithms, we can minimize human error in detecting the solution for relevant images through models by learning the automation technique. This can easily detect and predict the clustering of images based on genres of information of images. The main technique used in this paper is Convolution Neural Network encoding and decoding of the image using an auto encoder algorithm. Also performed image reconstruction data augmentation and deep image clustering of performance and analysis of each genre
A REVIEW OF BIG DATA ANALYTICS IN CYBER SECURITY
Authors: Joseph Dr. Susheel George
Published: May 2024

The linking of people's personal data poses a serious danger to their right to privacy and civil liberties. To meet these problems, it's crucial to develop new security solutions and tactics for better security operations, threat detection, and attack analysis. The methods must be improved in light of the current cyber security risks. The internet is experiencing a massive increase in data. Because of the large amount of data, cyberattacks will likewise grow exponentially. In order to recognize specific dangers and assaulting patterns, it is crucial to interpret and visualize it. Big data analytics aids in monitoring a broad range of user behaviors to prevent various risks connected with them. This helps prevent numerous data breaches. In this article, the significance of big data is examined, emphasizing how it may be used as a tool in cyber security to help certain security operations. Additionally, a thorough overview of Big Data Analytics in the subject of cyber security is discussed
AUTOMATED CRICKET INSTRUCTOR
Authors: Gupta Shruti , Modi Sneh , Pavate Aruna , D’lima Jovita , Mukherjee Mrinmoyee , Sunkale Abhishek
Published: May 2024

Cricket is a very popular sport and growing in size, especially after the Indian Premier League (IPL). A prime challenge is to provide the players with a shot detection and judgmental model. Classifying cricket shots is usually a complex task. This paper presents a perspective of 3 shots of cricket into cut, drive and sweep from videos of shots played. The aims of this work is to classify shots by using images as input to the model as well as provide feedback about the quality of the shot played. The methodology used in this model is Open Pose Estimation which uses 18 key points on each image and the convolution neural network for the classification of shots. The test model accomplished an f1 score of 0.8, which is good considering that the dataset consists of 120 images
IMAGE ENHANCEMENT OF MAGNETIC RESONANCE IMAGING UNDER CLUSTERING ENVIRONMENT
Authors: Murugan Dr. V.
Published: May 2024

The process of image denoising aims at the removal of noise from an image. Noise in an image can be perceived as pixels with varying intensity values rather than original pixel values. The main reason for noise occurrence may happen during image acquisition or image transmission. Thus, practically it is not possible to escape from noise. The quality of an image has its impact over the degree of noise present in an image. Hence, it is necessary to remove or reduce such noise, in order to improve the quality of an image. This chapter is basedon clientserver architecture and the focus is rendered on salt and pepper and gaussian noise. The input image is partitioned into four parts by the server and all the partitions are shared with the client systems. The client systems process the partitioned input by denoising algorithms and submit the outcome to the server. The server unites all the denoised images together to arrive at a single denoised image. This work saves much time and the image is denoised in a matter of seconds
DEEP LEARNING BASED PREDICTING IMAGES USING CONVNET
Authors: Koppireddy Chandra Sekhar , Satvik Veeravalli Sohan Venkata
Published: May 2024

In this paper, we will be learn about how to predict cats and dogs using convolutional neural networks (CNN) model. In this project we will be using tensorflow and keras python modules. Import Image Generator from the keras module. Along with these there will be need of the dataset which contains dogs and cats which must be created on the requirement of user. Firstly, import the required libraries which are mentioned above along with matplotlib library which will be useful in plotting the loss, accuracy, val_loss, val_accuracy. Secondly, build a CNN model in which the building of CNN model contain initialization, convolution, pooling, flatten, full connection, output layer. After completion of building the model, compile the model, and train the model. Fourthly, write the code to make the prediction. And the model’s accuracy will be depended on the number of epochs provided while training the model. Lastly plot the accuracy provided by the epochs
INFORMATION AND KNOWLEDGE ENGINEERING
Authors: Hemalatha R. , Amutha Dr. R.
Published: May 2024

Knowledge acts as a kind of glue to bind learning and information together. We grasp a subject better when we are comfortable with it. Key concepts and core ideas in knowledge engineering, intellectual capital, and organizational learning include knowledge, information, and data. The different dimensions that the terms "information and knowledge engineering" entail are outlined in this article. The reader will get a solid foundation in a wide range of technologies, together with: expert systems, neural networks, genetic algorithms, casebased reasoning systems, data mining, and intelligent agents. This chapter will also be a great source of information for anyone interested in or working with advanced information systems and knowledge engineering advancements
EARLY SYMPTOM IDENTIFICATION TECHNIQUES FOR CARDIOVASCULAR DISEASE DATA USING CLUSTER-BASED CLASSIFICATION TECHNIQUES
Authors: Manjhi Raju , Sah Dr. Rahul Deo , Abbas Syed Jaffar , Mahto Dr. Rajendra Kumar
Published: May 2024

Data mining tools for medical sciences to analyse disease indicators are becoming more flexible and useful every day. Numerous cutting-edge data mining methods exist, such as mining data for various industries, mining application techniques like Nave Bays mining, clustering techniques, and other classification algorithms. The ensemble classifier process is advantageous for individual classification methods including artificial neural networks (ANNs), decision trees, and support vector machines. A novel ensemble classifier paradigm is a cluster-oriented ensemble technique for data classification. Keywords:- data mining technique, early cardiac signs, SVM, Ann
A STUDY ON TAXONOMY, ELEMENTS AND TYPES OF DESIGN
Authors: Barusu Madhusudhana Reddy , Sailaja M. , Rebekah R. Deepthi Crestose , Manjula N. , Manvi V. Prema
Published: May 2024

Creating a system, object, activity, or process requires a plan or specification. A design is the result of that plan or specification in the shape of a prototype, final product, or method. The verb design conveys the action of producing a product. Different types of designs help to make the product or prototype useful and long-lasting. To make a successful composition, the design elements are the building blocks for a Visual artist or a graphic designer
MACHINE LEARNING ALGORITHMS
Authors: Rajalingam Rajani , Barusu Dr. Madhusudhana Reddy , Priyadarshini G. Prathibha , Priyanka Pulagouni
Published: May 2024

Now-a-days, everyone is familiar with the term “data” and it is everywhere. But, this is huge in size and may be generated by people or devices. The problem with data is that, it could be in different forms like text, audio, video, and image etc., Due to this the data can be categorized as structured or unstructured. Analyzing and producing results out of this unstructured data is a time-consuming process. However, it would be easy to derive output from unbalanced data if it could be converted into balanced data. Here comes the role of Machine Learning, which is a subset of Artificial Intelligence (AI) that enables machines or other systems to learn on their own without any kind of explicit programming. These systems are designed in such a way that, they use knowledge to extract information from the unbalanced data. To deal with these data problems, various techniques have been supported by machine learning. For instance, to develop decision–making insights, many data-intensive problems require implementation of regression or classification techniques. This falls within the area of machine learning. Machine learning algorithms can be categorized as supervised, unsupervised and reinforcement learning strategies based on the desired outcome of the algorithm. Examples of various Machine learning algorithms include Linear Regression, Logistic regression, k-nearest neighbors, k-means, Naïve Bayes, Support Vector Machine (SVM), Random forest, Decision tree, Dimensionality reduction, Gradient boosting and Ada Boosting algorithm etc., could be applied on data for future predictions
A SURVEY ON TECHNOLOGICAL ADVANCEMENTS OF SCALABLE COMPUTING TOOLS AND PARADIGMS
Authors: Sardar Tanvir Habib , Ahmed S. K. Jamil , Sarkar Rashel
Published: May 2024

The recent development in technological products in the computer-based computing domain has significantly improved existing computing architectures and proposed novel computing systems in many cases. These computing systems are scalable, run-time efficient, and flexible with the tradeoff of complexity and expansiveness. This paper aims to provide a comprehensive view of the latest computing technologies. The article has section-wise presented the modern computing technologies and their sub-categories. Suitable figures are provided in places to provide a pictorial depiction of different technologies. Similarly, tabular data-wise explanations are also provided to showcase the differences between other computing technologies and paradigms