bluuebunny/crossref_metadata_2025 huggingface dataset:
ASSESSING TEACHING FACTORY READINESS IN MECHANICAL ENGINEERING EDUCATION USING GOOGLE FORMS TO IMPROVE 21ST CENTURY SKILLS
Authors: Hidayatullah Rachmad Syarifudin , Kurniawan Wahyu Dwi , Soeryanto Soeryanto , Wulandari Ruri Nurul Aeni
Published: January 2025

Teaching Factory (TEFA) is a production-based learning model that aims to align student skills with industry needs. This study analyzes the readiness and implementation of TEFA in the Mechanical Engineering Education Study Program at Surabaya State University to improve 21st-century skills in the digital era. Using a simple random sampling method with 44 respondents, the data were analyzed using Rasch modeling because of its accurate measurement in identifying the level of response suitability. The results show that the educational aspect of TEFA received a very positive response, reflecting the contribution of this program in supporting the development of 21st-century competencies, including critical thinking, communication, collaboration, creativity, character, and civic engagement. Students are trained to think critically and solve real problems so that they are ready to face industry challenges. However, the marketing aspect needs to be improved so that information about TEFA is better known and this program gets more comprehensive support from the community. With a more effective promotion strategy, opportunities for collaboration with external parties can increase, and more students can be involved, strengthening the collaboration and communication aspects of 21st-century competencies. Overall, TEFA not only helps students master technical skills but also strengthens 21st-century competencies that are relevant and applicable in the professional world
NAGA NATIONALISM: THE CROSSROAD
Authors: Ngullie Tumben
Published: January 2025

This paper is an attempt to explore and look into Nationalism in the context of Nagaland which offers a unique historical background in so far as any discussion on the idea of nation is concerned. Taking into account the pre-British intrusion from 1932 and the opening of a critical chapter from 1947 onwards, Nagaland was historically outside the pale of the great Indian civilization. Year after Indian independence, Nagas fell under the spell of this great nation and the holocaust continues several decades which witnessed different political pathways within. From its nascent stage in 1918 with the formation of the Naga Club and the birth of Naga National Council (NNC) in 1945 to the signing of the historic Naga Peace Accord in 2015, the Naga political movement have been a complex issue projecting the nexus of policy makers, stakeholders and national workers who operates by exploiting the Naga issue rather than solving it. This paper presents the critical endeavour to situate the Naga political movement in the present context and attempts to understand and reimagine the relevance of Naga nationalism in the light of its expectations respecting its unique history.
BLOCKCHAIN TECHNOLOGY APPLICATION IN BANKING SYSTEM-AN EMPIRICAL STUDY
Authors: K H Gurumurthy
Published: January 2025

Blockchain technology has been gaining significant attention in the banking sector due to itspotential to transform the industry by enhancing security, efficiency, and transparency. The Blockchain is a technology that will allow transactions simply, safely, effectively, and also safely. In layman’s terms, Block- chain is a data structure that stores transactional records while also ensuring security, efficiency, transparency and decentralization. In a Blockchain, data is stored which is tamper-proof and cannot be changed as it uses encryption and digital signatures on every transaction on a blockchain, which proves the authenticity of the block- chain. To change a record on a blockchain, one needs to change several records, and one needs to change the distributed ledger. It’s quite impossible to change the data which has already been entered into a Blockchain. This is a very promising technology. It’s already in a lot of places. It can also solve any problem in the banking sector. This technology became famous after introducing the first cryptocurrency, which is known as bitcoin. The Blockchain has evolved to address various challenges in the Banking sector. This paper will demonstrate transacting over a secure, blockchain-based network and therefore eliminate the need for intermediary entities. The purpose of this paper is to provide a review of the application and opportunities of the Blockchain for a secure banking system and then the working method of the Blockchain technology has been introduced with analysis. The use of blockchain technology for secure banking has been discussed. The main achievement of this paper is to demonstrate how the Blockchain works and how it can be useful in the secure banking industry.
PENERAPAN TEKNIK PENULISAN TEKS PROSEDUR BERBASIS KUTIPAN CERPEN DI KELAS IX SMPN 2 BENGKULU SELATAN
Authors: Wahidah Alifah Nur , Paulina Yanti , Reswan Yuza
Published: January 2025

Menulis teks prosedur membantu siswa untuk membuat langkah-langkah secara lengkap, jelas, dan terperinci tentang cara melakukan sesuatu. Kegiatan ini bertujuan untuk menerapkan teknik penulisan teks prosedur berbasis kutipan cerpen di kelas IX SMP Negeri 2 Bengkulu Selatan. Pendekatan yang digunakan adalah metode kegiatan pelatihan, sosialisasi, dan pendampingan. Melalui pelatihan, siswa diberikan pemahaman dasar mengenai teks prosedur serta pentingnya teknik penulisan yang efektif dan menarik. Kegiatan sosialisasi dilakukan untuk memperkenalkan kutipan cerpen sebagai media pembelajaran yang relevan dan menarik bagi siswa, sehingga mereka dapat memahami dan menyusun teks prosedur dengan lebih kontekstual. Selanjutnya, pendampingan bertujuan untuk memantau perkembangan dan memberikan arahan dalam proses penulisan teks prosedur oleh siswa. Hasil kegiatan menunjukkan bahwa pendekatan ini mampu meningkatkan pemahaman siswa tentang teks prosedur dan memperbaiki kemampuan mereka dalam menyusun teks prosedur berbasis kutipan cerpen. Selain itu, metode ini juga meningkatkan minat siswa dalam pembelajaran bahasa Indonesia, khususnya dalam keterampilan menulis teks prosedur.
MEWUJUDKAN TOURISM VILLAGE MELALUI REVITALISASI REST AREA DESA SRIGADING, KABUPATEN MALANG
Authors: Istiqomah Ni’ matul , Priambodo Magistyo Purboyo , Yunikawati Nur Anita , Puspasari Emma Yunika , Aulia Fikri , Rizqi M. Yusril Naili
Published: January 2025

Salah satu belahan bumi pertiwi yang menyimpan segala pesona alam menakjubkan, membuat Desa Srigading sering menjadi objek wisata bagi para wisatawan. Aktivitas ekonomi Desa Srigading berfokus pada sektor pertanian, hasil pertanian seperti Kopi dan Jagung menjadi salah satu komoditi unggul di Desa Srigading. Sektor Pariwisata di Desa Srigading menjadi salah satu sektor yang paling diunggulkan karena memiliki potensi yang cukup baik untuk membuat Desa Srigading menjadi Desa Wisata Alam. Pembanguanan Desa Srigading menjadi Desa Wisata Alam tidak terlepas dari campur tangan penduduk Desa untuk memaksimalkan potensi alam mereka. Wisata alam Desa Srigading masih memiliki fasilitas yang minim serta masih belum terdapat ikon-ikon wisata yang sekiranya dapat menarik minat wisatawan untuk berkunjung. Oleh karenanya perlu diadakan Revitalisasi atau upaya untuk menghidupkan kembali Rest Area tempat Wisata yang terletak di Desa Srigading menjadi lebih lengkap dan ramah terhadap wisatawan. Tujuan dari kegiatan pengabdian ini adalah untuk merevitalisasi rest area untuk menciptakan suatu Kawasan yang strategis untuk berwisata. Kegiatan revitalisasi ini tidak hanya dilakukan.
DIGITALISASI PENGELOLAAN PAM DESA BUMDES SEKAR ABADI DESA SUMBERSEKAR, KECAMATAN DAU, KABUPATEN MALANG
Authors: Abbas Muhammad Hasyim Ibnu , Istiqomah Ni’matul , Dharma Buyung Adi
Published: January 2025

Tujuan dari pengabdian ini adalah untuk membantu para pengelola PAM Desa Sekar Abadi untuk bertransformasi secara digital melalui berbagai kegiatan pelatihan dan pendampingan dalam penggunaan aplikasi inovatif dalam pengelolaan data penggunaan Air bernama pamsekar.com, yang diawali dengan pengisian data secara manual kemudian diubah menjadi digital mereka dapat membuatnya lebih mudah bagi manajer untuk menjalankan bisnis. Kegiatan pelayanan dilakukan dengan cara transfer knowledge untuk memperkenalkan sistem informasi digital di pamsekar, kemudian mendukung kunjungan rutin dan verifikasi penggunaan aplikasi sesuai dengan dokumentasi yang disediakan dan selalu mendiskusikan perkembangan teknologi dan manajemen perusahaan. Selain itu, evaluasi juga dilakukan untuk memverifikasi bahwa aplikasi pendukung sistem informasi ini telah dilengkapi dengan benar dan mengikuti instruksi saat melakukan transfer pengetahuan. Dengan meningkatnya kapabilitas digital bagi pengelola PAM Desa Sekar Abadi diharapkan pelayanan kepada masyarakat pelanggan menjadi lebih baik.
Student-Posed Quecture Questions Can Engage First-in-Family Students with Meaningful Learning
Authors: McQueen Heather
Published: January 2025

Students in their first semester at university were asked to pose their own questions, known as quecture questions, for each learning topic. This was as part of their weekly preparation for flipped lectures on two parallel compulsory biology courses. Quecture questions are intended to engage students, particularly those with educational disadvantages who may be unfamiliar with effective learning strategies, in meaningful concept-based learning. The mechanism of posting the questions differed between the two courses in that a forced sequence tool on the virtual learning environment required students to post something on the online board on one course while students could opt not to post on the online board on the other course. Small focus groups and qualitative analysis showed that the students realised both cognitive and metacognitive learning benefits from the quecture strategy. Students that were first-in-family to Higher Education were prioritised as focus group attendees and, although adjustment to the quecture strategy was judged to be more difficult within this group, positive learning benefits were discerned for all these students. The pressure to engage within one course was, on balance, considered to be useful for nudging students towards more effortful engagement with their learning. In this way cognitive and metacognitive benefits were recognised for first-in-family students.
A Comparative Cost Analysis of with and without Chemical Weed Management Practices in Onion Production in the Western Agro Climatic Zone of Tamil Nadu
Authors:   Directorate of Weed Science Research-Coimbatore Center, Department of Agronomy,, K. Govindarajan , C. Chinnusamy ,   Department of Farm Management, Directorate of Crop Management Tamil Nadu Agricultural University, Coimbatore- 641 003.
Published: January 2025

The study revealed that the expenditure on weeding in onion cultivation was six per cent higher in manually weeded farms than herbicide applied farms. The cost of weeding for manually weeded farm was Rs. 19,729/ha (15.15 per cent) whereas, it was Rs. 11,145/ha (9.44 per cent) in herbicide applied farms. The net returns (returns over cost C3 ) were Rs.1, 93,715/ ha for herbicide applied farms and Rs.1, 28,598/ha for manually weeded farms. The cost of production (per kg) was Rs.7.70 in manually weeded farms and Rs.5.98 per kg of onion in herbicide applied farms. Hence, per ha cost of cultivation in manually weeded farms was higher than herbicide applied farms. The partial budgeting analysis had revealed that an additional return of Rs. 70,982 /ha would be obtained with the use of herbicides in onion cultivation. The average yield obtained in manually weeded farms was lesser than (3, 874 kg/ha) the yield obtained in herbicide applied conditions. The average prices, gross return, as well as the net return were remunerative and higher to farmers under herbicide applied farms than in manually weeded farms.
Role of Border and Barrier Crops for the Management of Important Chilli (Capsicum annuum L.) Pests.
Authors:   Department of Agricultural Entomology, UAS, Raichur - 584 122 Karnataka, Y H Sujay , R S Giraddi ,   Department of Agricultural Entomology, UAS, Raichur - 584 122 Karnataka, K. Basavana Goud ,   2Department of Agricultural Entomology, UAS, Dharwad - 580 005 Karnataka
Published: January 2025

Field experiments were conducted during kharif 2010-11 and 2011-12 at Agricultural Research Station, UAS, Dharwad, Karnataka, South India to assess the effect of border and barrier cropping for the management of chilli pests. Chilli as border and barrier crop with South African tall maize and sweet sorghum was found to be superior over sole crop by recording the lowest population of sucking pests, leaf curl index, larval population of H. armigera, fruit damage and significantly higher growth parameters as well as dry chili yield (3.95 and 3.89q/ha) with a net return of Rs 19,528/- and CB ratio 1 2.56. Activity of predators such as coccinellids and chrysopids were found to be greatly distributed in plots having border and barrier crops.
FATORES BIOPSICOSSOCIAIS ASSOCIADOS À HOSPITALIZAÇÃO DE ADOLESCENTES COM ANOREXIA NERVOSA
Authors: Silva Alan José da , Sousa Thais Costa Martins de , Carneiro Maria Laiane de Souza , Santos Drielly Luisi Vitor , Silva Paola Ribeiro da , Lima Shirley de Sá Nascimento , Neves Thayná Juffu , Silva Thaysa Gabriella Melo de Moura
Published: January 2025

Resumo
FATORES ANSIOGÊNICOS ASSOCIADOS ÀS EXPERIÊNCIAS DE CRIANÇAS E ADOLESCENTES DURANTE A PANDEMIA DA COVID-19
Authors: Silva Alan José da , Menezes Wliana Lara Moreira , Casé Ana Beatriz Sampaio , Batista Marina Cordeiro , Santos Carla Vitória Cavalcante dos , Mendes Rívia Melissa Souto , Ferreira José Raelte Lopes , Morais Victor Gabriel da Costa Pimentel de , Silva José Vinicius Vasconcelos da , Aggio Cristiane de Melo
Published: January 2025

Resumo
ESTUPRO VIRTUAL NA MODALIDADE TENTADA: UMA ANÁLISE DE UM DOS PRIMEIROS CASOS DENUNCIADOS NO BRASIL
Authors: Lopes Maria Eduarda , Silva Thaylla Marcella Alvim Novais da , Iemini Matheus Magnus Santos , Dias Thalita de Joseanne Silveira da Silva
Published: January 2025

O estupro virtual emergiu como tema de grande relevância na era da sociedade digital, por trazer à tona questões complexas sobre abusos sexuais cometidos por meio de tecnologias de comunicação. Este estudo visa analisar o crime na forma tentada, a fim de identificar suas características à luz da doutrina penal, investigar suas manifestações no ambiente virtual, observar as circunstâncias que impedem a consumação do crime e analisar um dos primeiros casos de estupro virtual tentados no Brasil. A pesquisa adota abordagem descritiva, qualitativa, por meio de pesquisa bibliográfica, legislativa, documental e análise de caso. O primeiro caso de estupro virtual tentado no Brasil ilustra os desafios jurídicos e processuais enfrentados nesse contexto. Embora o Código Penal brasileiro não tipifique o estupro virtual, os artigos existentes abarcam as condutas cometidas nesse meio. No entanto, há desafios na interpretação e na aplicação da lei diante das complexidades do ambiente digital.
A EXPLORAÇÃO DO USO DA IMAGEM DA CRIANÇA E DO ADOLESCENTE PARA FINS MIDIÁTICOS
Authors: Silva Lucas Eduardo Batista , Inacio Maria Fernanda dos Santos , Lopes Nairo José Borges
Published: January 2025

O trabalho examina a exploração da imagem de crianças e adolescentes na mídia, focando em suas implicações éticas, legais e sociais. Com a presença constante das mídias digitais, surgem preocupações sobre privacidade e direitos de personalidade. Este trabalho tem por objetivo principal o estudo e análise da extensão da exploração midiática no uso da imagem de crianças e adolescentes, investigando os impactos psicossociais, éticos e legais dessa prática. Busca, ainda, a propositura de soluções e melhorias nas práticas contemporâneas. Este trabalho tem como metodologia de pesquisa, uma abordagem buscando analisar parâmetros quantitativos e qualitativos, para uma compreensão mais profunda e acentuada, bem como levantar dados sobre casos de relevância que envolvem menores em situações agravantes que podem ser consideradas exploração do uso de sua imagem, nos mais diversos canais midiáticos. É de suma importância que a sociedade, em conjunto aos legisladores e às plataformas digitais, se una para garantir um ambiente seguro e íntegro, no qual sejam priorizados os direitos das crianças e adolescentes, protegendo-os das consequências nocivas da exposição midiática. A partir dessa conscientização, espera-se que, no futuro, debates e ações contribuam para o estabelecimento de um equilíbrio entre a liberdade de expressão e a preservação dos direitos e da dignidade dos menores.
ANÁLISE DA REINCIDÊNCIA CRIMINAL E POLÍTICAS DE RESSOCIALIZAÇÃO
Authors: Oliveira Jovana da Silva de , Silva Larissa Roberta da , Silva Nivalda de Lima
Published: January 2025

O estudo em questão tem como objetivo a análise da ressocialização e sua importância para a resolução das falhas do sistema de segurança pública do país. O alto índice de criminalidade e a reincidência criminal, atrelados ao sistema carcerário precário, foram as principais temáticas debatidas. Em consonância, foi averiguada a atuação do Estado como garantidor de direitos dos cidadãos e as principais políticas públicas que garantem o jus puniend de forma educativa e humana e como isso pode combater os elevados dados de criminalidade. Com a análise das leis, de jurisprudências e de doutrinas, foi importante ressaltar a vigência da Lei de Execuções Penais que inovou o sistema de execução penal, ao incentivar a ressocialização e enfatizar a atuação do Estado, não só como garantidor da punição como também como agente de oportunidades ao indivíduo, após o período de reclusão, para garantir direito ao trabalho, ao estudo, à progressão de regime, entre outras nuances benéficas ao recluso. Ressaltaram-se, em conjunto, as dificuldades do antigo carcerário no retorno à sociedade, que enfrenta o preconceito social e a falta de inclusão profissional e pessoal que o fazem retornar à criminalidade.
DISCRIMINAÇÃO EM ALGORITMOS DE INTELIGÊNCIA ARTIFICIAL: ESTUDO DA LGPD COMO MECANISMO DE CONTROLE DOS VIESES DISCRIMINATÓRIOS
Authors: Gonçalves Rafaela Vilela , Barbaresco Rogério Ananias
Published: January 2025

O artigo aborda como a Lei Geral de Proteção de Dados (LGPD) pode mitigar os vieses discriminatórios presentes em sistemas de inteligência artificial (IA). Com a ascensão de tecnologias baseadas em big data e aprendizado de máquina, a possibilidade de perpetuar discriminações por meio de algoritmos tornou-se uma preocupação central. A LGPD, sancionada em 2018, busca proteger os direitos fundamentais à privacidade e à liberdade, enfatizando princípios como transparência, finalidade e necessidade no tratamento de dados pessoais. O estudo analisa as principais disposições da LGPD que combatem discriminações algorítmicas, incluindo o princípio da não discriminação (art. 6º, IX) e o direito à revisão de decisões automatizadas (art. 20, §2º). São apresentados exemplos práticos de discriminação algorítmica, como o caso do Google Photos, que evidenciou racismo estrutural em sistemas automatizados. Além disso, destaca-se o risco de reforço de preconceitos quando algoritmos utilizam bases de dados enviesadas. A pesquisa utiliza uma metodologia exploratória e bibliográfica, abrangendo legislações, doutrinas e casos práticos. O artigo também aponta a responsabilidade das empresas em adotar medidas de accountability, como auditorias regulares e avaliações de impacto, para garantir conformidade com a LGPD e evitar práticas discriminatórias. Conclui-se que a LGPD é um instrumento relevante para a promoção da equidade nas tecnologias de IA, mas sua eficácia depende da implementação rigorosa de práticas éticas e de supervisão. Assim, o avanço tecnológico deve ser aliado à justiça social, assegurando o respeito aos direitos individuais e à inclusão.
A BUSCA PELA SIMPLIFICAÇÃO DOS TERMOS JURÍDICOS À POPULAÇÃO: UM DIREITO PARA TODOS
Authors: Sales Ísis de Ávila , Barbaresco Rogério Ananias
Published: January 2025

O presente Artigo Científico se propõe a realizar um estudo legislativo e doutrinário sobre a importância da simplificação dos termos jurídicos mormente utilizados no Direito brasileiro, a fim de que a população leiga participe efetivamente na criação de um Estado inclusivo e democrático, uma vez que é por meio da linguagem, seja ela escrita ou falada, que alcançamos a tão almejada justiça. Tendo em vista que, embarcado de expressões arcaicas, elementos de estilo e palavras estrangeiras, o “juridiquês” não pode ser um mecanismo para a segregação populacional, mas sim cumprir com sua função de regulamentação e instrução de uma sociedade. Elencando ao longo do texto os obstáculos hodiernamente encontrados que impossibilitam a propagação efetiva de uma linguagem límpida e abrangente a todos os indivíduos; como por exemplo a falta de disseminação da escrita jurídica nas instituições de ensino base. E visualizando ao final possíveis métodos para amenizar, ou até mesmo erradicar, os empecilhos que obstam o entendimento pleno e efetivo da norma positivada, que se apresenta obsoleta para parte da população a quem é destinada, substituindo tais expressões por uma linguagem comum do dia a dia ao abordar um tema jurídico, mas sem necessariamente dispor da tecnicidade e profissionalismo que demanda a linguagem utilizada no Direito.
UMA RELEITURA DA MISSÃO CONSTITUCIONAL DA INVESTIGAÇÃO POLICIAL FRENTE A CONTINUIDADE DO INQUÉRITO APÓS A PRESCRIÇÃO NOS CASOS DE PESSOAS DESAPARECIDAS
Authors: Marinho Leonardo Hostalácio
Published: January 2025

The disappearance of a person is a “police case” and, using technical-legal terms, if the disappearance occurred more than 20 years ago, there is no longer any way to impose liability on the perpetrator of a possible crime. However, based on the dignity of the human person, by Law No. 13,812/2019 the State determined that investigations into the disappearance will be carried out until the person is effectively located. This study proposes a new reflection on the constitutional mission of the police investigation, having as its vector the guarantee of protection and dignity of those who need the action of State professionals capable of discovering the truth and giving citizens the answer to fill a void that has reached their lives. It is a narrative review of the literature, with a qualitative and exploratory approach, having organized a compilation of information and opinions extracted from legal, normative, interpretative and opinion publications, whose construction was structured in the dialogue between three methodological-didactic itineraries: understanding; interpretation and criticism. The surveys resulted in the organization of four categories of debate: grounds for the loss of the right to punish and its implications for legal and social relations; functions of police investigation; disappearance of persons and human dignity; police investigation in the case of missing persons, during the statute of limitations and after the occurrence of this. It was concluded that, in the scenario studied, the police investigation takes on a guarantor role and ceases to be an instrument of preliminary investigation and becomes the procedure responsible for the search for the real truth and the execution of which, by the Judicial Police, will not be aimed at other public bodies, but rather at the family of the missing person, in order to guarantee the dignity of each of their loved ones.
O ACORDO DE NÃO PERSECUÇÃO PENAL E A INCONSTITUCIONALIDADE DA CONFISSÃO FORMAL E CIRCUNSTANCIADA
Authors: Silva Ana Carolina Santos da , Moreira Vanessa Ieli Coelho , Swerts Ana Carla Tavares Coelho
Published: January 2025

O presente artigo tem como objeto o Acordo de Não Persecução Penal, que foi introduzido no Código de Processo Penal, pela Lei nº 13.964/2019, conhecida como Pacote Anticrime, com o intuito de aprimorar a justiça negociada e favorecer o atendimento das demandas a fim gerar punição mais efetiva. Entretanto, surge uma problemática relevante: a exigência da confissão como requisito para a celebração do acordo entre o Ministério Público e o acusado, o que indica uma possível inconstitucionalidade, considerando sua desnecessidade evidente. Tal exigência pode conferir uma vantagem indevida ao Ministério Público em uma eventual instauração da ação penal. Com base em uma pesquisa bibliográfica e documental, este estudo busca demonstrar a inconstitucionalidade material do requisito de confissão, por meio da análise da do processo penal e da implementação do acordo no ordenamento jurídico brasileiro. Embora o instituto seja uma inovação, a discussão é pertinente, considerando os impactos práticos que poderá gerar no campo jurídico ao longo do tempo. O objetivo é expor o defeito presente na exigência de confissão.
O USO DAS ARTES COMO ESTRATÉGIA DE ENSINO DE EM SOCIOLOGIA
Authors: Duque Lucianne , Souza Bruno Mello
Published: January 2025

Oobjetivodestainvestigaçãoécompreendercomoaarteéutilizadacomoestratégiadeensinode Sociologia no ensino médio. Este artigo aborda os desafios do ensino de Sociologia manifestadospela falta de legitimação e consolidação da disciplina no currículo escolar, assim como as idas e vindasda Sociologia na grade curricular que contribuíram para que estes desafios surgissem. Dessa forma,discute-se a Sociologia da Arte como uma ferramenta que contribui para o ensino de Sociologia naeducaçãobásica,afimdequeamesmaconsigaatingirasualegitimação.ASociologiadaArtetomaoselementosartísticoscomofatossociaisquepodemserinterpretados.Tendocomobaseesseargumento,pode-seanalisaros usosdaarte paraumaSociologia maisinclusiva àsrealidadesdos alunos.
OS ESTUDANTES DE CIÊNCIAS SOCIAIS DA UESPI E A GUINADA CONSERVADORA DA SOCIEDADE BRASILEIRA NOS ANOS 2010
Authors: Lima Maria Aldenires de Sousa , Souza Bruno Mello
Published: January 2025

O presente estudo busca refletir sobre as mudanças ocorridas na sociedade brasileira, nos anos 2010, em seu movimento para uma agenda conservadora, analisando as repercussões dessas mudanças junto aos estudantes de Ciências Sociais da Universidade Estadual do Piauí – UESPI, em Teresina, e verificando em que medida essas posições conservadoras da sociedade brasileira em geral, as relações binárias entre direita e esquerda, suas temáticas e tensões, se estabelecem para um perfil político-ideológico dos estudantes de Ciências Sociais da UESPI. Ao considerar a relevância das Ciências Sociais para a leitura da realidade e para a formação de narrativas, buscamos esse núcleo para manejar a possibilidade de compreensão dos acontecimentos que, de dentro da universidade, se conectam com as movimentações da sociedade brasileira em geral, numa tentativa de compreender se o perfil desses estudantes passou por modificações importantes de comportamentos, valores, sentimentos e conceitos que possam tê-los retirado de uma posição de tradição democrática e progressista para uma outra, eventualmente conservadora.
O DISCURSO CONTEMPORÂNEO SOBRE A SUPERDOTAÇÃO E A INTELIGÊNCIA
Authors: Miranda Cássio Eduardo Soares
Published: January 2025

O objetivo deste ensaio é discutir as formações discursivas contemporâneas sobre a inteligência e a superdotação. Para tanto, apresenta  apontamentos sobre sua função no discurso capitalista, a partir dos possíveis artifícios que a língua gera com a sua função segregadora, Ao final, aponta, ainda que rapidamente,  os possíveis caminhos na inteligência gerados pela incessante valorização dos ditos mais inteligentes
ENTRE A ARTE E A POLÍTICA: BARREIRAS EDUCACIONAIS NO NOVO ENSINO MÉDIO
Authors: Rebelatti João Vítor , Biondo Valéria
Published: January 2025

Essa pesquisa busca compreender como a reforma do ensino médio, homologada pela Lei 13.415, de 2017, afetará o ensino de artes nessa etapa da Educação Básica, através de um estudo de base bibliográfic
Pengembangan Sistem Penerjemah Kalimat Bahasa Isyarat Bisindo To Text Dengan Kinect Real Time
Authors: Aldin Fathiray  , Joni Maulindar  , Wiji Lestari
Published: January 2025

People with hearing and speech impairments often have difficulty communicating with the general public due to a lack of understanding of sign language. This results in social isolation and barriers to accessing information and education. The development of sign language translator technology is expected to improve communication and independence of people with disabilities. The methodology used in this research includes data collection through literature studies, questionnaires, and documentation. The BISINDO data processing algorithm in this research uses the Long short-term memory (LSTM) method to detect skeletons on the hands, face and body. The system implementation uses kinect to capture real-time hand movements. System development uses the Agile method to ensure functionality and fulfillment of user needs. From the evaluation results by testing system performance using confusion matrix by calculating accuracy, recall, precision and F1-Score values. As well as datasets taken in realtime with a total of 90 data, each consisting of 30 actions of my sign language, 30 actions of good sign language, 30 actions of iloveyou sign language. The results show that the system has an accuracy value of 1.0, recall 1.0, precision 1.0 and F-1 Score 1.0 with LSTM algortima, epoch 140 and response data that shows positive towards the system
Penerapan Algoritma Decision Tree Untuk Menentukan Terapi Pada Anak Autis
Authors: Mahendra Satria Yudha , Wiji Lestari  , Intan Oktaviani
Published: January 2025

People with hearing and speech impairments often have difficulty communicating with the general public due to a This research focuses on the development of a classification system for autism levels in children using the Decision Tree algorithm. This system considers various aspects of the psychomotor abilities of autistic children, such as balance, hand coordination, flexibility, and muscle strength. Observation data was taken from autistic children aged 5-8 years who attended SLB Anugerah Colomadu, and was used to build a Decision Tree model. The results showed that this model had 0,9 accuracy in classifying autism rates based on the observed psychomotor features. In addition to classification, the system also provides recommendations for psychomotor therapy that are specific and according to the level of autism that the model has classified. This approach is expected to improve the quality of interventions for autistic children by facilitating the development of their psychomotor skills. With this system, it is hoped that educators and therapists can provide more targeted treatment, so that autistic children can develop more optimally according to their individual needs. This structured and data-based approach is also expected to be a reference in the development of other intervention methods in the future
Model Hibrida K-Nearest Neighbors Berbasis Genethic Algorithm untuk Prediksi Penyakit Ginjal Kronis
Authors: Rukiastiandari Sinta , Rohimah Luthfia , Aprillia Aprillia , Chodidjah Chodidjah , Mutia Fara
Published: January 2025

Chronic Kidney Disease, which is often abbreviated as PGK, is a serious disease that is of major concern to society and the medical world. This disease can cause various serious complications if not treated properly and early. Therefore, accurate prediction of CKD is very important to support early intervention that can slow disease progression, prevent further complications, and increase the patient's chances of recovery. This research aims to increase the accuracy of PGK predictions by developing a hybrid model that combines the K-Nearest Neighbors (KNN) algorithm with optimization using the Genetic Algorithm (GA). In this approach, the KNN algorithm is used to build a prediction model, while GA acts as an optimization tool that improves model performance. The effectiveness of the optimized model is evaluated using key metrics such as accuracy, precision, recall, and area under the curve (AUC). The results show a significant increase in performance, with accuracy increasing by 17.75%, precision increasing by 23.84%, and recall increasing by 5.34%. This research makes an important contribution to the development of data mining technology for clinical applications and opens up opportunities for further improvements in the future in increasing the prediction accuracy of chronic diseases such as CKD
Prediksi Diabetes Menggunakan Algoritma K-Nearest (KNN) Teknik SMOTE-ENN
Authors: Amri Zaenul , Muhammad Rodi  , M. Nurul Wathani  , Amir Bagja  , Zulkipli
Published: January 2025

Nowadays, diabetes is a common disease affecting millions of people worldwide, and it is generally more prevalent among women. Recent health research has adopted various innovative and advanced technologies to diagnose individuals and predict diseases based on clinical data. One such technology is Machine Learning (ML), which enables more accurate diagnosis and prediction. The data used in this study is the Pima Indian women diabetes dataset from Kaggle and the UCI data repository. This study focuses on predicting diabetes using the KNN algorithm model by applying optimization to the dataset using the SMOTE-ENN technique to enhance prediction accuracy for Pima Indian women. The dataset was trained and tested with five different splits using Jupyter Notebook to determine the best accuracy for the KNN algorithm model. Parameters such as classification accuracy, classification error, and the ROC curve were evaluated, along with identifying the variables influencing the risk of diabetes. The results showed that applying SMOTE-ENN optimization to the research dataset significantly improved the prediction accuracy using the KNN algorithm model. With a 70% training and 30% testing data split, the model achieved a classification accuracy of 0.96, a classification error of 0.04, and an AUC of 0.95. These predictions indicated that Pima Indian women are more likely to develop diabetes due to factors such as age above 33 years, the number of pregnancies, excessive sugar consumption, blood pressure, skin thickness, insulin levels, BMI (Body Mass Index), and genetic predisposition to diabetes
Klasterisasi Daerah Rawan Bencana Alam Menggunakan Algoritma K-Means
Authors: Michael Kevin Adinata  , Ali Mahmudi  , Yosep Agus Pranoto
Published: January 2025

East Java is a province with high vulnerability to disasters, such as floods, landslides, earthquakes, and strong winds, which have an impact on material losses, casualties, and deterioration of socio-economic conditions, especially in rural areas. The lack of mitigation strategies and resource allocation worsens disaster management. This study aims to classify disaster data using the K-Means algorithm to overcome the limitations of descriptive analysis conducted by BPBD East Java. The data used includes 1125 disaster events with variable disaster frequency, total damage, and the number of casualties per sub-district in East Java districts and cities during 2021-2022, obtained from the official website of the East Java BPBD. The K-Means algorithm was chosen because of its efficiency in managing big data and its flexibility in cluster formation. The results of the study show that in 2021, the region in East Java is divided into three clusters based on the level of disaster risk: Cluster 1 (low risk) with 192 sub-districts, Cluster 2 (medium risk) with 35 sub-districts, and Cluster 3 (high risk) with 10 sub-districts. In 2022, significant changes were seen in Cluster 1, which includes 462 sub-districts, Cluster 2 with 20 sub-districts, and Cluster 3 with 11 sub-districts. The results of this study are expected to support the government's decision-making priorities, especially in disaster management and resource allocation based on risk levels
Implementasi Internet of Things (IoT) Untuk Sistem Pemantauan Kebakaran Dini Dengan Notifikasi Telegram dan Alarm
Authors: Zaenuar Erfandi  , Hartanti Dwi , Maulindar Joni
Published: January 2025

Fire is a serious threat that can cause major losses, both material and non-material. This research aims to develop an Internet of Things (IoT) based fire monitoring system at the Tangen District Office to detect fires early. This system uses smoke, temperature and fire sensors integrated with a NodeMCU microcontroller to process data in real-time. Data from sensors is analyzed to detect signs of fire, and notifications are sent instantly via the Telegram application and accompanied by alarm activation. Tests show that the system has a detection accuracy rate of up to 95% in detecting various types of fire media, such as wood, paper and plastic, with an effective sensor distance of up to 20 cm. This system is able to reduce response time by up to 70% compared to conventional methods, increasing the readiness of officers in handling fires. It is hoped that the results of this research can minimize the risk and impact of fire, as well as significantly increase building safety
Penggunaan Metode SAW dalam Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik
Authors: Lufti Puspitasari  , Joni Maulindar  , Vihi Atina
Published: January 2025

This research aims to develop a website-based Decision Support System (DSS) to facilitate the selection of the best employees at the Ngrampal District Office. Employee performance assessments carried out manually have so far been considered less effective due to high subjectivity and a time-consuming process. The system built uses the Simple Additive Weighting (SAW) method which is able to give weight to each assessment criterion such as absenteeism, roll call attendance and employee performance. SAW was chosen because of its ability to provide objective ranking results based on measurable data. Implementation of this system shows faster and more accurate results in determining the best employees compared to manual assessments. Apart from improving the quality of performance appraisals, the implementation of this web-based system is also expected to motivate employees to improve their performance. This decision support system was created only within the scope of the Ngrampal District Office with three assessment criteria. It is hoped that this research can be developed further by adding new assessment criteria and applied in other agencies to expand the validity and effectiveness of the system
Analisis Pengaruh Bayesian Optimization Terhadap Kinerja SVM Dalam Prediksi Penyakit Diabetes
Authors: Dwi Utami  , Fathoni Dwiatmoko  , Nuari Anisa Sivi
Published: January 2025

Diabetes is a prevalent and serious chronic illness that impacts millions of individuals globally. Early detection of diabetes is essential to mitigate severe health complications. This study investigates the application of Support Vector Machine (SVM) enhanced by Bayesian Optimization for the early prediction of diabetes. While SVM is a robust machine learning algorithm, its performance heavily depends on the proper selection of parameters. Bayesian Optimization is an efficient approach to fine-tune SVM parameters, such as the regularization parameter (C) and the kernel parameter (gamma). The research utilizes a Kaggle dataset that includes various diabetes risk factors. The study compares the performance of SVM optimized using Bayesian Optimization against SVM without optimization. The findings reveal that SVM with Bayesian Optimization achieves an accuracy of 95%, surpassing the 94% accuracy of the unoptimized SVM. These results highlight that Bayesian Optimization enhances SVM's effectiveness in predicting diabetes early
Some log--series and applications
Authors:   Department of Mathematics and LDMM Laboratory, Universite of Djelfa, Algeria., Messelmi Farid
Published: January 2025

The purpose of this paper is to apply the concept of log--series in order to determine the sum of certain power series, where the n-th terms involves the factorial mapping, the generalized harmonic numbers and the reciprocals of factorial sums.
The Changing Status of the Detectives in the Novels of Agatha Christie and Keigo Higashino: From Rational Authority to Human Exploration
Authors: Yun Hong
Published: January 2025

Detective fiction is a genre characterized by mystery, reasoning, and intrigue that has captivated readers for centuries. However, the mystery here does not rely on theology but is rooted in logic. Malmgren (1997), in Bloody Murder, defines detective fiction as a hybrid genre encompassing elements of detective crime, psychological analysis, suspense, and police procedural stories. It ensures that the detective's resolution of the crime presented to them does not depend on “divine revelations, feminine intuition, nonsensical ramblings, trickery, coincidence, or acts of God.”
Carcinogenic and non-carcinogenic risk assessment of selected heavy metals in soil and groundwater at mechanic workshops in Ilesa, Nigeria
Authors: Akinola Ayoola Ewuola  , Akpan Benjamin Michael  , Toheeb Ayodeji Sodiq  , Love David Adewale  , Amalachukwu Enukorah  , Miracle Oladoyin Ojedayo
Published: January 2025

This study examines heavy metal pollution and associated health risks in soil and groundwater at mechanic workshops in Ilesa, south western Nigeria. Heavy metals analyzed (Pb, Fe, Cu, Cr, Co, Ni, Zn, As) were quantified using atomic absorption spectrophotometry. Soil concentrations exceeded target values for most metals, while groundwater levels surpassed permissible limits, except for Cu and Fe. Health risk assessments showed total hazard index (HI) values of 1.81 × 10³ for children, indicating high non-carcinogenic risks, while adult HI was 2.1 × 10⁻¹, below the threshold. Carcinogenic risks for Cr, Ni, and Pb exceeded the acceptable range for both age groups, with ingestion being the primary exposure pathway. Groundwater posed significant non-carcinogenic and carcinogenic risks, particularly from Pb and Cr, while as remained within safe limits. Children were found to be at greater risk than adults.
A novel approach to overcoming time-lapse seismic monitoring challenges: Enhancing repeatability and data quality in Offshore Oilfields
Authors: Elemele Ogu  , Peter Ifechukwude Egbumokei  , Ikiomoworio Nicholas Dienagha  , Wags Numoipiri Digitemie
Published: January 2025

Time-lapse seismic monitoring, or 4D seismic, plays a critical role in managing offshore oilfield reservoirs by identifying fluid movements and optimizing production strategies. However, achieving high-quality and repeatable seismic data remains a persistent challenge due to environmental variations, acquisition inconsistencies, and equipment limitations. This paper presents a novel approach to overcoming these challenges, focusing on advanced techniques and technologies to enhance repeatability and data quality in offshore environments. Key innovations include the deployment of permanent ocean-bottom seismic (OBS) systems integrated with fiber optic sensing and advanced noise suppression algorithms. These technologies ensure consistent sensor positioning, reduce environmental noise, and improve data acquisition accuracy over multiple surveys. Moreover, machine learning algorithms are leveraged for real-time data calibration and anomaly detection, significantly enhancing the precision of seismic interpretation. The proposed approach also incorporates adaptive acquisition strategies, which consider dynamic environmental factors such as ocean currents and seabed topography. By utilizing real-time environmental data, acquisition parameters are dynamically adjusted to maintain data consistency. Additionally, the integration of high-resolution imaging techniques provides detailed insights into reservoir dynamics, enabling better decision-making for reservoir management. Case studies from offshore oilfields demonstrate the effectiveness of this approach. The application of permanent OBS systems and machine learning-driven calibration improved seismic repeatability by over 30%, while high-resolution imaging enhanced the detection of subtle reservoir changes. These advancements contribute to more reliable reservoir monitoring, reduced operational costs, and minimized environmental impact. This study concludes that the integration of cutting-edge seismic technologies with adaptive strategies offers a transformative solution to time-lapse seismic monitoring challenges. By addressing repeatability and data quality issues, this approach ensures more accurate reservoir characterization and sustainable resource management in offshore oilfields.
AI-powered quality assurance: Enhancing software infrastructure through intelligent fault detection
Authors: Nagaraj Bhadurgatte Revanasiddappa
Published: January 2025

Recently artificial intelligence (AI) came into software quality assurance (QA), helping us overcome the shortfalls of the traditional fault detection techniques. Manual and semi-automated QA approaches become rapidly hard to scale, in terms of accuracy and efficiency, as software systems are becoming increasingly complex and interdependent. AI driven QA takes advantage of advanced machine learning (ML) models and smart algorithms to optimize fault detection, predictive analysis, and automated decision making. The key innovations are automated test case generation, anomaly detection, and regression test optimization, which eliminate human error and shortens time to market.
As part of this research, this thesis studies integration of AI into QA processes with a framework designed to encompass data collection, preprocessing, model training and deployment. The system we have proposed exploits a feedback loop for its continuous improvement and thus it is adaptable to changing software environment. The system was able to detect faults with relatively high precision and recall by using supervised learning, deep learning, and reinforcement learning techniques.
The case studies show the system works effectively in discovering critical faults of large scale and mobile application projects, thereby validating its scalability and real-world application. AI driven QA is found to increase fault detection accuracy and along with it increase system reliability and development efficiency. This study concludes that testing using AI driven QA is a paradigm shift in software testing and AI driven and intelligent fault management will be the norms of the future.
A rare case of ameloblastoma arising from radicular cyst in mandible
Authors: Muhammad Nur Falah  , Menik Sayekti  , Zico Dhyaksa Tedja Kautsar  , Yusuf Pradita  , Andra Rizqiawan  , Ahmad Humidat
Published: January 2025

Background: A benign odontogenic tumour that frequently affects the jaw is ameloblastoma. There are only a small number of variations whose biological profile is not elicited, aside from the most often observed clinicopathologic models. When a cystic lesion exhibits the clinical, radiological, or physical characteristics of a mandibular cyst, it is referred to as a unicystic ameloblastoma. However, a histologic investigation reveals a typical ameloblastomatous epithelium lining the cyst cavity, with or without luminal and or mural tumour development.

Purpose: The purpose of writing this article is to describe a rare case of ameloblastoma arising from radicular cyst in mandible.

Case: A 33 year old man presented a lump in his right posterior mandible. Panoramic radiography and CT Scan image revealed a mass involving his right mandibular. The results of an incisional biopsy lead to radicular cyst. Decompression of cyst was performed, after 2 years, there was a slight shrinkage of the tumor and the results second biopsy showed an ameloblastoma.

Case management: En-bloc resection and reconstruction were performed on the patient. Following the final procedure, healing went smoothly, and the patient is currently two years into a postoperative phase during which there have been no recurrences.

Conclusion: The most frequent epithelial odontogenic tumour is the ameloblastoma, however it only accounts for 1% of all jaw tumours and cysts. It is still debatable whether or not the ameloblastoma develops from the radicular cyst. Therefore, the most accurate method for distinguishing unicystic ameloblastoma from radicular cysts is a histological study