bluuebunny/crossref_metadata_2025 huggingface dataset:
The innovative teaching strategies of educational soft skills cultivation affect students' performance and sense of efficiency
Authors: Liu Dan , Wee Hoe Tan
Published: September 2024

Introduction: Organization and time management are critical soft skills in education, as learning is frequently arranged around test and assignment deadlines. Guiding students to use long-term projects with milestones and smaller goals can help them improve their planning abilities. The Lack of self-confidence, fear of making errors, fear of being mocked, and lack of faith in own expertise or talents. This study is intended to identify how the instruction tactics for educational soft skills cultivation affect students' performance. Method: A total of 120 students were collected for this study. The data were split into two groups such as Group A and Group B, respectively. Interaction, flipping the classroom, decision-making, cooperation, engagement in professional work, and collaborative learning are all strategies of educational soft skills that are increasingly regarded as critical for success in dynamic work situations. The data were examined with SPSS software. Result: The findings indicate while there was no discernible increase in Group B, students in Group A showed a considerable improvement in soft skills, which encompass all strategies. Conclusion: The research reveals a positive association between academic achievement and the improvement of performance-related soft skills. The study emphasizes how crucial it is to include cutting-edge teaching techniques in the curriculum to help students develop critical soft skills.
A service standardization model for Nigeria’s healthcare system: Toward improved patient care
Authors: Ifeanyi Chukwunonso Okeke  , Edith Ebele Agu  , Onyinye Gift Ejike  , Chikezie Paul-Mikki Ewim  , Mobolaji Olalekan Komolafe
Published: September 2024

The Nigerian healthcare system faces significant challenges in delivering consistent and high-quality patient care due to variability in service standards across facilities. This paper proposes a Service Standardization Model aimed at addressing these disparities and improving overall patient care. The model emphasizes the need for uniform protocols, guidelines, and performance metrics to ensure consistency and reliability in healthcare services. Key components of the model include the establishment of standardized care protocols, implementation of quality assurance mechanisms, and regular monitoring and evaluation of healthcare practices. By introducing standardized care protocols, healthcare providers can ensure that all patients receive evidence-based treatments, irrespective of the facility they visit. This approach promotes uniformity in clinical procedures, reduces variability in patient outcomes, and enhances the overall quality of care. Quality assurance mechanisms, such as accreditation programs and regular audits, are crucial for maintaining high standards and identifying areas for improvement. These mechanisms help in addressing deficiencies and fostering a culture of continuous improvement within healthcare facilities. The model also advocates for the development of a comprehensive monitoring and evaluation system to assess the effectiveness of standardization efforts. This includes tracking patient outcomes, patient satisfaction, and compliance with established protocols. Data-driven insights derived from these evaluations can guide policy adjustments and inform future standardization initiatives. Implementing this Service Standardization Model has the potential to significantly improve patient care in Nigeria by ensuring equitable access to high-quality healthcare services. It addresses the disparities caused by varying standards across different healthcare providers and aims to create a more reliable and efficient healthcare system. The model’s focus on uniform protocols, quality assurance, and continuous evaluation positions it as a critical step toward achieving sustainable improvements in patient care in Nigeria’s diverse healthcare landscape.
Therapeutic perspectives of anticancer properties of Evodia suaveolens Scheff. leaves: A systematic review
Authors: Endharti Agustina Tri , Farida Lia Dia , Afida Icha N. Izza , Widodo Edwin , Norahmawati Eviana , Fakurazi Sharida , Malek Nik Ahmad N. Nik , Kawamoto Yoshiyuki , Permana Sofy
Published: September 2024

Context: Cancer represents a significant global health challenge, marked by elevated morbidity and mortality rates. Evodia suaveolens is a native medicinal plant from Papua, Indonesia. Earlier studies hinted at the possibility that E. suaveolens may have anticancer properties, likely due to its high levels of antioxidants. Aims: To evaluate anticancer potential of E. suaveolens from the bioactive compounds of E. suaveolens leaf extract. Methods: A comprehensive search was conducted in MEDLINE, ScienceDirect, Scopus, Web of Science, EBSCO, and Google Scholar databases without date restrictions. In silico, in vitro, in vivo, and clinical studies investigating the anticancer effects of E. suaveolens leaves were eligible for inclusion. Risk-of-bias assessments were conducted. Results presented descriptively. Results: Database screening identified 487 studies that generated six included studies. It comprised three bioinformatic studies and three in-vitro studies. In silico studies demonstrated the potential binding of E. suaveolens compounds to cancer-related targets like PI3K, EGFR, and ALK. In vitro studies showed cytotoxic effects against multiple cancer cell lines, with IC50 values ranging from 17-88 μg/mL. One study found E. suaveolens extract enhanced the antiproliferative and cell cycle arrest effects of doxorubicin on leukemia cells. No in vivo or clinical studies were identified. Most studies had a moderate to high risk of bias. Conclusions: Preliminary evidence suggests E. suaveolens leaf extract may have anticancer potential, particularly in enhancing the effects of standard chemotherapy. However, the limited number of studies and lack of in vivo and clinical data highlight the need for further research to establish efficacy and safety.
About Supports of Local Cohomology Modules
Authors: Tognon Carlos Henrique
Published: September 2024

The article provides the relation between the theory of local cohomology modules, and vanishing results, and also about the theory of support of such modules. Here, we put results about the theory, and also we provide a relation of local cohomology in the theory of commutative algebra and homological algebra.
DAMPAK KONFLIK SOSIAL BURUH BONGKAR MUAT PELABUHAN NUSANTARA KOTA PAREPARE
Authors: Pallawagau Saddam Taruna , Suhaeb Firdaus W
Published: September 2024

This research was conducted to determine the impact of social conflicts among the dockworkers at the Parepare Nusantara Port. A qualitative approach was utilized to explore the effects of social conflicts among the dockworkers at the Parepare Nusantara Port. The research began with initial observations, followed by field visits to conduct direct interviews with the informants, along with the collection of documentation for reference. The researcher selected informants based on the criteria of being officially registered members of the dockworkers union at the Parepare Nusantara Port, consisting of both basic cargo laborers and baggage laborers. Data analysis techniques employed in this study included data collection, data reduction, data presentation, and drawing conclusions. The results of this research indicate that the impact of social conflicts among the dockworkers at the Parepare Nusantara Port comprises both functional and dysfunctional effects.
ANALISIS KESULITAN BELAJAR SISWA DITINJAU DARI GAYA BELAJAR PADA MATA PELAJARAN IPS DI SMP DARUL LUGHAH WAL KAROMAH
Authors: Anjana Fika , Bahrudin Babul
Published: September 2024

This research aims to analyze students' learning difficulties in terms of learning styles in social studies subjects at Darul Lughah Wal Karomah. Descriptive qualitative is used to determine the paradigm of this research. Interview, observation and documentation are the methods used in this research to collect data. The results of this study explain that: The visual learning style dominates among other learning styles with a percentage of 56.6%, and it is followed by the kinesthetic learning style at 33.3%, and the auditory learning style at 10%. The visual learning style can be seen in students with concrete evidence that must be shown firstly so it can make students understand in lesson. The characteristics of students who have a visual learning style are a high need to see and capture information visually before they understand it. The auditory learning style can be seen from students who are able to become fluent speakers, like to discuss things and explain things at length. Students with this type of learning style are easily distracted by noise and are weak in visual activities. The kinesthetic learning style can be seen in students who find it difficult to sit still for hours because of their desire for activity and exploration.
Workshop Pembuatan Engsel Sederhana Menggunakan Mesin Bubut Bagi Mahasiswa di Growth Centre LLDIKTI Wilayah - I
Authors: Idris Muhammad , Iswandi Iswandi , Amelia Wan Rizca , Harahap Uun Novalia
Published: September 2024

Workshop ini bertujuan untuk memberikan mahasiswa pemahaman dan keterampilan praktis dalam pembuatan engsel sederhana menggunakan mesin bubut. Engsel merupakan perangkat mekanis yang digunakan untuk menghubungkan dua objek sehingga memungkinkan gerakan rotasi di sekitar sumbu tertentu. Melalui pelatihan praktis, mahasiswa akan belajar tentang prinsip dasar mesin bubut, pemilihan material yang tepat, pengukuran presisi, serta teknik pengerjaan yang benar dalam memanufaktur engsel sederhana. Workshop ini akan berfokus pada langkah-langkah praktis, mulai dari membaca gambar teknik hingga tahap akhir penyelesaian. Peserta akan dibimbing oleh instruktur dalam pengoperasian mesin bubut dan teknik manufaktur, sehingga dapat mengembangkan keterampilan praktis yang berharga untuk dunia industri. Dengan mengikuti workshop ini, mahasiswa diharapkan dapat mengaplikasikan pengetahuan yang didapat untuk proyek-proyek berbasis teknik, memperluas wawasan teknis mereka, dan meraih keunggulan kompetitif dalam persaingan karier di masa depan.
Pelatihan Penggunaan Mesin Sekrap Bagi Mahasiswa di Growth Centre LLDIKTI Wilayah - I
Authors: Zulfikar Achmad Jusuf , Supriatno Supriatno , Candra Ifan Aulia , Nurdiana Nurdiana
Published: September 2024

Pelatihan penggunaan mesin sekrap bagi mahasiswa memberikan manfaat signifikan dalam mengembangkan keterampilan teknis, mempersiapkan mereka untuk dunia kerja, dan meningkatkan pemahaman mereka tentang proses manufaktur dan keamanan kerja. Mesin sekrap adalah jenis mesin perkakas yang digunakan untuk mengerjakan permukaan logam dengan menggunakan gerakan linier reciprocating. Mesin ini menggunakan pisau bergerak maju-mundur untuk menghilangkan lapisan tipis logam dari permukaan kerja dan menciptakan bentuk yang diinginkan. Penting untuk menyesuaikan metode pelatihan dengan kebutuhan dan karakteristik peserta serta menyediakan lingkungan yang aman dan kondusif untuk belajar dan berlatih penggunaan mesin sekrap. Evaluasi keterampilan teknis, penilaian pengetahuan teoritis, dan penilaian hasil kerja dari peserta. Pengalaman yang diperoleh selama pelatihan akan bervariasi untuk setiap peserta tergantung pada latar belakang, tingkat keahlian, dan komitmen dalam belajar. Hasil dari pelatihan ini diharapkan mampu meningkatkan pengetahuan dan pemahaman tentang mesin sekrap. Peserta akan memperoleh pengetahuan yang lebih mendalam tentang prinsip dasar mesin sekrap, komponen-komponennya, dan teknik pengoperasian yang benar.
PELAKSANAAN PROGRAM KAMPUNG KELUARGA BERENCANA DI KELURAHAN NYAPAH KECAMATAN WALANTAKA KOTA SERANG
Authors: Rohayati Siti , Agustino Leo , Yulianti Rina
Published: September 2024

Angka kelahiran yang cukup tinggi menjadi permasalahan Kota Serang dari tahun ke tahun sehingga menyebabkan pertumbuhan penduduk yang tidak terkendali. Faktor tersebutlah yang melatarbelakangi Program Kampung KB. Dinas Pemberdayaan Perempuan, Perlindungan Anak, dan Keluarga Berencana (DP3AKB) Kota Serang merupakan penanggung jawab utama masalah KB di Kota Serang. Oleh karena itu, DP3AKB telah mengutus Petugas Lapangan Keluarga Berencana (PLKB) untuk melaksanakan program KB di tingkat kecamatan. PLKB membentuk Pengelola Program Kampung  KB  (PPK KB) agar desa dapat bekerjasama dalam mencari dan mendaftarkan akseptor KB dengan turun langsung ke lapangan. Permasalahan yang terjadi dalam pelaksanaan Program kampung KB di Kelurahan Nyapah Kecamatan Walantaka adalah: kurangnya kesadaran masyarakat yang termasuk dalam Pasangan Usia Subur (PUS) yang belum menjadi peserta KB, kurangnya jumlah dan kuantitas SDM petugas di Kampung  KB  Kelurahan Nyapah Kecamatan Walantaka, kurangnya fasilitas kesehatan yang ada di kampung Keluarga Berencana, kurangnya kompetensi Pokja sebagai pelaksana. Pengorganisasian kampung KB di Kelurahan Nyapah Kecamatan Walantaka, dan peran serta masyarakat dalam program kampung KB di Kelurahan Nyapah belum maksimal. Tujuan penelitian ini adalah untuk mendeskripsikan pelaksanaan Program Kampung Keluarga Berencana di Kelurahan Nyapah Kecamatan Walantaka Kota Serang.
IMPLEMENTASI PEMBANGUNAN DEMOKRATISASI DI PROVINSI BANTEN (STUDI PRAKTIK POLITIK UANG PADA PILKADA SERENTAK TAHUN 2018 – 2020 DI PROVINSI BANTEN)
Authors: Hermawan Agus Aan , Suharyana Yana
Published: September 2024

Praktik politik uang hingga saat ini masih menjadi perhatian dalam pembangunan demokratisasi di Indonesia khusunya di Provinsi Banten. Penelitian ini bertujuan mengkaji mengenai fenomena modus praktik politik uang pada pilkada serentak tahun 2018 – 2020 di Provinsi Banten. Teori yang digunakan adalah teori pertukaran sosial (social ekchange theory). Metode penelitian dengan pendekatan kualitatif, dimana pengambilan data melalui observasi, wawancara dan dokumentasi. Hasil penelitian ditemukan bahwa dorongan praktik politik uang pada pilkada serentak Tahun 2018 – 2020 di Provinsi Banten, dipicu oleh rendahanya kemampuan ekonomi masyarakat, sehingga dengan perilaku rasional untung ruginya, warga masyarakat sebagai pemilih menganggap bahwa praktik politik uang dianggap hal biasa yang merupakan hal wajar dalam setiap kontestasi pemilihan, dengan situasi kondisi masyarakat yang membutuhkan kecukupan ekonomi. Dengan demikian, rasa penolakan terhadap praktik politik uang masih kecil dilakukan oleh warga masyarakat sebagai pemilih, yang terdesak oleh kondisi ekonomi yang semakin sulit dan terpuruk.
Design of business contextual ambidexterity: An approach from strategic fit
Authors: Santa Flórez Ricardo Alberto , Díaz Luna Hugo Armando
Published: September 2024

Database Design of business contextual ambidexterity
Análise de Sentimentos de Tweets em Relação à Eleição Presidencial de 2022 no Brasil
Authors: Silva Davi De Meneses , Oliveira Adonias Caetano de , Almeida Junior Paulo Cesar de
Published: September 2024

Com o progresso tecnológico e a ascensão das mídias sociais, o uso rotineiro das plataformas de redes sociais se consolidou, abrangendo diversas atividades e entre elas os debates políticos e expressão de opiniões. Diante desse cenário, a opinião das pessoas nas redes sociais desempenha um importante papel para presumir um panorama em tempo real das percepções e sentimentos da sociedade, principalmente no ramo da política. Visando isso, este estudo analisa o desempenho de algoritmos de Inteligência Artificial nas tarefas de análise de sentimentos em relação às eleições de 2022 no Brasil. A metodologia consistiu na coleta de tweets sobre a eleição de 2022 da antiga rede social Twitter (atual X). O conjunto de dados foi dividido em dois subconjuntos, a saber, treinamento rotulado por meio do ChatGPT-3.5 e de teste rotulado manualmente. Foram avaliados os modelos de aprendizagem Multilayer Perceptron (MLP), Support Vector Machine (SVM), K-Nearest Neighbors Algorithm (KNN), Random Forest (RF) e BERTimbau Large. Como resultado, dentre os 5 modelos, o BERTimbau Large obteve o melhor resultado com 68% de acurácia.
Clinic Match: Facilitando Ensaios Clínicos com Mineração de Texto
Authors: Lima Kelly P. de , Lima Emiliano D. S. da C. , Campos Carlos A. L. de , Almeida Vitor A. C. C. , Rabêlo Ricardo De A. L.
Published: September 2024

Os ensaios clínicos são fundamentais para avançar o conhecimento científico, possibilitando avaliar a segurança e a eficácia de novos tratamentos em seres humanos de maneira ética, controlada e sistemática. Além de contribuir para o avanço da medicina, os ensaios proporcionam acesso a terapias potencialmente promissoras não disponíveis comercialmente, o que é particularmente importante para indivíduos com doenças graves ou condições sem opções de tratamento adequadas. No entanto, o recrutamento de participantes para ensaios clínicos pode enfrentar uma série de desafios entre os quais o mais comum consiste em encontrar e recrutar um número suficientemente grande de participantes que atendam aos critérios de elegibilidade do ensaio. Geralmente, o recrutamento depende de demoradas revisões manuais de registros médicos, enfrentando altas taxas de falha na triagem. Além disso, muitos casos, em especial na oncologia, dependem do momento correto para a entrada em um ensaio clínico. Para superar esses desafios, este estudo em andamento propõe desenvolver uma ferramenta para auxiliar o médico a encontrar ensaios abertos que sejam compatíveis com o caso específico que está sendo atendido. Essa abordagem busca analisar rapidamente os ensaios clínicos potencialmente compatíveis com o caso, permitindo futuramente testarmos a hipótese do impacto no recrutamento de voluntários para ensaios.
Conexão Linguística: Leitura e interpretação de sinais gramaticais de LIBRAS utilizando machine learning
Authors: Silva Francisco Wallyson do Nascimento , Passarinho Cornelia Janayna Pereira
Published: September 2024

LIBRAS é uma língua de sinais utilizada pela comunidade brasileira como forma de expressão e comunicação, através de sinais e de expressões corporais e faciais, tendo como principal intuito a inclusão social e a acessibilidade linguística para pessoas surdas. Esta pesquisa visa ao desenvolvimento de um software leitor de sinais que representem expressões de LIBRAS, transcrevendo esses símbolos gramaticais para a língua portuguesa. Para tal, utilizou-se uma ferramenta desenvolvida para JavaScript, uma biblioteca chamada TensorFlow, utilizada para criação de modelos de aprendizado de máquina a nível de produção. O diferencial deste trabalho reside no desenvolvimento de uma ferramenta web para interpretação de sinais gramaticais de LIBRAS, utilizando técnicas de aprendizado de máquina e bibliotecas como TensorFlow e Media-Pipe, sem a necessidade de servidores back-end robustos. A continuidade da pesquisa propõe direções futuras que visam ampliar a precisão e a abrangência dos resultados obtidos.
Fully convolutional neural networks on semantic segmentation of flooded areas
Authors: Ribeiro Samuel G. , Souza Marcelo M. S. de
Published: September 2024

Floods cause extensive economic damage and loss of life worldwide. Thus, automatic image detection is valuable for effectively minimizing response time to these impacts. Synthetic Aperture Radar (SAR) imaging has proven to be an important resource in flood management, as this remote sensing technology is highly sensitive to water. This study applies Fully Convolutional Neural Networks (FCNN), particularly U-Net and U-Net++ topologies, to semantic segmentation of flood-affected regions in Sentinel-1 satellite images from Cloud to Street Microsoft floods dataset. The U-Net++ architecture demonstrates a high capability in identifying flooded areas, achieving an Intersection over Union (IoU) metric of 0.8280, F1 score of 0.9053, and sensitivity of 0.9001.
Rede Neural Convolucional para a Classificação de Imagens de Pessoas Fazendo Uso de Máscaras do Tipo EPI
Authors: Salvador Pedro Henrile , Pinheiro André Luis ALbuquerque , Feitosa Francisco Cleber da Conceição , Feitosa Robson Gonçalves Fechine
Published: September 2024

O presente trabalho utilizou-se de técnicas de Visão Computacional e Rede Neural Convolucional (CNN), com o objetivo de classificar imagens de pessoas fazendo uso ou não de máscaras do tipo EPI (Equipamento de Proteção Individual). Para tanto, buscou-se um repositório de imagens para treinamento, validação e testes; utilizou-se o LabelImg para a rotulação das imagens de treinamento, e CNN para a construção do modelo. Após diversos experimentos, os melhores resultados obtidos foram Precisão de 1.0, Cobertura de 0.88 e Medida-F de 0.93.
Análise do impacto da expertise dos desenvolvedores no grau de manutenibilidade das contribuições ao HYPERLEDGER FABRIC
Authors: Pimentel Moisés Cunha , Santos Alcemir Rodrigues
Published: September 2024

As Leis da Evolução de Software de Lehman salientam a importância de manter-se a manutenibilidade de software devido ao declínio da qualidade do código-fonte ao longo do tempo. No entanto, somente recentemente pesquisadores da área de engenharia de software têm dado atenção à manutenção dos softwares orientados à blockchain. Para o melhor do nosso conhecimento, não existe evidência sobre o impacto do conhecimento dos desenvolvedores no grau de manutenibilidade de softwares orientados à blockchain. Este artigo conduziu um estudo empírico para avaliar este cenário na evolução do HYPERLEDGER FABRIC. Os resultados mostraram indícios de que a sobrecarga do time principal de desenvolvimento pode estar afetando a qualidade de suas contribuições.
Refinamento e Combinação de CNNs para Melhoria na Classificação de Leucócitos Imaturos no Diagnóstico de Leucemia Mieloide Aguda
Authors: Moriconi Émery F. , Sousa Leonardo P. , Claro Maila , Rocha Ana A. F. , Veras Rodrigo M. S.
Published: September 2024

Este artigo aplicou técnicas, como ajuste fino, aumento de dados e comitês em Redes Neurais Convolucionais (Convolutional Neural Networks - CNNs), para a classificação de células leucêmicas em imagens microscópicas de sangue, com foco em leucócitos imaturos. O principal objetivo é classificar essas células em quatro subtipos distintos presentes na base de dados, que contém um total de 5.738 imagens de esfregaços de sangue. Utilizando a técnica de comitês com voto majoritário em três combinações diferentes de bases de dados, o estudo alcançou uma acurácia de 84,37% com o comitê formado pelas CNNs MobileNetV2, EfficientNetB3 e DenseNet201.
Simulador de aplicações de Inteligência Artificial das Coisas para monitoramento em tempo real
Authors: Gonçalves Allan Jheyson R. , Castro Ana Beatriz N. de , Evilly Brenda , Leão Erico Meneses , Torres Neto Jose R. , Silva Romuere R. V. , C. Filho Antonio Oseas , Rabelo Ricardo A. L.
Published: September 2024

O avanço das tecnologias de Internet das Coisas (Intelligence of Things – IoT) e Inteligência Artificial (IA) abriu novas possibilidades de aplicações em diversas áreas, incluindo monitoramento em tempo real. Este trabalho apresenta o desenvolvimento de um simulador de aplicações de Inteligência Artificial das Coisas (Artificial Intelligence of Things – AIoT) para monitoramento de áreas rurais utilizando Veículos Aéreos Não Tripulados (VANTs). A proposta integra uma arquitetura edge/fog/cloud, onde VANTs equipados com câmeras e algoritmos de IA realizam a detecção de animais em tempo real. O sistema distribui a carga de processamento entre os dispositivos de borda e o servidor fog, otimizando a eficiência e a precisão das detecções. A interface gráfica desenvolvida permite a visualização e gerenciamento de simulações, facilitando a análise e a tomada de decisões. Os resultados demonstram a viabilidade e eficácia do sistema para monitoramento de ambientes de difícil acesso, contribuindo para uma gestão eficiente de recursos e resposta rápida a eventos da aplicação.
Utilizando UX/UI Design em uma Plataforma Educacional: Um Estudo de Caso nos Institutos Federais de Educação
Authors: Brito Francisco Luan F. , Feitosa Robson G. F. , Dias Amanda N. , Mello Harley
Published: September 2024

O presente trabalho descreve o desenvolvimento de um protótipo de aplicativo institucional para melhorar a experiência acadêmica nos Institutos Federais de Educação, Ciência e Tecnologia (IFs). Utilizando o Figma para prototipagem, o objetivo foi criar uma interface intuitiva e eficaz para estudantes e docentes. O estudo adotou um design centrado no usuário para entender as demandas e desafios, consolidando funcionalidades acadêmicas, como informações sobre boletins e refeitório, em um único espaço acessível. A metodologia incluiu revisão da literatura, desenvolvimento do protótipo e testes de usabilidade com a comunidade acadêmica e especialistas em design. Os resultados foram positivos, com 54,5% dos estudantes avaliando a experiência como "Excelente" e 45,5% como "Boa", além de 100% dos especialistas classificando a interface como "Excelente". O estudo combinou teorias de UX/UI Design com uma abordagem prática, resultando em um protótipo funcional que unifica ferramentas acadêmicas e promove a interação na comunidade dos IFs.
Seleção de Backbone Para Extração de Características com a U-Net na Segmentação de Patologias Renais
Authors: Rocha Ana A. F. , Borges Rodrigo N. , Batista Rodrigo E. C. , Nascimento Rhaylson S. , Moriconi Émery F. , Santos Justino D. , Veras Rodrigo M. S.
Published: September 2024

Este artigo apresenta uma análise comparativa de diferentes backbones em combinação com a arquitetura U-Net para a segmentação de patologias renais, com ênfase em lesões de esclerose glomerular. O objetivo principal do estudo é demonstrar a viabilidade e a eficácia do uso de backbones pré-treinados nessa tarefa. Foram avaliadas cinco redes neurais convolucionais em um conjunto de 271 imagens. Ao final dos experimentos, a VGG19 destacou-se, apresentando o melhor desempenho, com um coeficiente Dice de 35,88% no conjunto de teste e uma acurácia de 89,84%.
Uma avaliação de acessibilidade dos jogos mais jogados da plataforma Steam utilizando a Game Accessibility Guidelines
Authors: Silva Héder P. R. , Souza Isabele R. de , Santos Iallen Gábio S.
Published: September 2024

Nas últimas décadas, os jogos têm alcançado maior relevância e complexidade. Nesse cenário, é crucial que as mecânicas dos jogos sejam acessíveis para garantir a inclusão do maior número possível de jogadores, independentemente de suas habilidades. Este trabalho, portanto, se propõe a investigar o nível de acessibilidade dos 20 jogos mais populares na plataforma Steam em 2023, utilizando as diretrizes da Game Accessibility Guidelines. Dessa forma, foi possível estabelecer o Nível de Acessibilidade dos Jogos na Steam, além de discussões sobre a relação entre as mecânicas dos jogos e acessibilidade.
Elektros energetikos pagrindai
Authors: Svinkūnas Gytis , Navickas Algimantas
Published: September 2024

Elektros energetikos sistema – tai viena didžiausių žmogaus sukurtų technologinių sistemų, apimanti atskirų valstybių teritoriją ir užtikrinanti tiek šalies ūkio, tiek buitinių vartotojų normalų funkcionavimą. Knygos turinys atitinka visą elektros energijos ciklą nuo jos pagaminimo iki sunaudojimo. Temos išdėstytos pagal jų sudėtingumo lygį ir būtiną nuoseklumą studijuojant elektros energetikos discipliną, kai vienai energetikos sričiai suvokti reikalingos kitų energetikos sričių žinios. Ši knyga skirta studijuojantiems pagal technologijų mokslų krypties automatikos ir valdymo, atsinaujinančios energetikos, elektros inžinerijos studijų programas, taip pat rengiantiems šių krypčių baigiamuosius bakalauro darbus. Svarbiausia pateiktos teorijos dalis papildyta skaičiavimo pavyzdžiais. Prieduose pateikiama svarbiausia informacija, naudotina elektros tinklo projektavimo uždaviniams spręsti. Leidinyje išdėstyti elektros energetikos pagrindai ir techninės tinklo elementų charakteristikos gali būti vertingi įvairiose energetikos, pramonės, statybos, žemės ūkio srityse dirbantiems specialistams, kurių darbas susijęs su elektros ir šilumos energetika, gamybos procesų automatika ir valdymu.
Innovating R&D practices to adapt swiftly to market trends: Insights from the Food and Beverage Industry
Authors: G. Torres Erick , Fonseca-Larios Rodolfo , Ramírez-Portilla Andrés
Published: September 2024

Dynamics in the food and beverage (F&B) industry have become increasingly complex and abrupt because of consumer expectations regarding health issues, nutrition facts, functionality, sensory attributes, sustainability, and lifestyles. Companies are in a constant state of experimentation, under pressure from a post-pandemic business environment to accelerate product innovation. In this context, Research & Development (R&D) processes have changed over the past years to accelerate new product launches and display a high probability of success through a deep understanding of product design, formulation, raw materials, processing, packaging, storage, distribution, shelf life, and regulatory restrictions. This chapter tackles recent and innovative R&D practices in the F&B industry from a practical perspective and a graphic model based on innovation capabilities, innovation activities, and product innovation. The results illustrate the importance of considering the technical factors involved in formulation and production and market pull requirements to adapt swiftly to market trends and even fads that consumers demand.
Next-Generation Behavioral Economics: Blockchain as the Web3 Infrastructure for Experimental Studies
Authors: Zhang Luyao
Published: September 2024

This chapter presents a research perspective that explores the transformative impact of blockchain technology on Behavioral and Experimental Economics. It addresses critical digital challenges such as subject identity verification and privacy, trust in researchers, and the design of experimental incentives. By advocating for a blockchain-integrated framework, the chapter aims to enhance data authenticity, privacy, and incentivization through decentralized mechanisms and smart contracts, thereby ensuring research that is transparent, tamper-proof, and practical. Additionally, the chapter proposes a paradigm shift toward a “play to learn” model, which bridges decentralized science with the realm of gaming finance to advance research and development. This integration signals a new era of interdisciplinary research, offering profound insights into human behavior within the digital economy and illuminating new research pathways that connect Web2 to Web3 environments.
Perspective Chapter: The Overwhelm is the Way – Contextual Relational Mindfulness as the Key to Integrated Executive Functioning
Authors: Lewis Juliana , Lewis Owen
Published: September 2024

Executive function (EF) skills are crucial in managing adult Attention Deficit Hyperactivity Disorder (ADHD), yet current methods often fail to integrate an individual’s emotional connection to the task at hand. Integrated Executive Function (IEF) Coaching introduces a holistic approach to strengthening EF skills in people with ADHD and related attentional disorders. IEF Coaching incorporates emotional and contextual awareness through Contextual Relational Mindfulness—a practice that combines traditional mindfulness with a heightened awareness of the relational dynamics between the client, their environment, and the coaching process. This chapter proposes a new approach to EF coaching; it presents the theoretical foundations, goals, and methodologies of IEF Coaching that emphasize the importance of developing emotional self-awareness and authentic communication in EF training.
Traumatic Atrial Septal Defect with Tricuspid Regurgitation Following Blunt Chest Trauma Presenting as Hypoxemia: A Case Report
Authors: Rashid Aamir , Ganie Farooq Ahmad , Rather Hilal , Ajaz Kakroo Shahood , Shounthoo Raja Suhail
Published: September 2024

Introduction: Although myocardial injury is common after blunt chest trauma, tricuspid valve injury associated with traumatic atrial septal defect resulting in acute hypoxia is an infrequent event. We report an unusual case of blunt chest trauma referred to us for unexplained hypoxemia, emphasizing the unusual nature of injury and the importance of comprehensive cardiac evaluation in such cases. Case Report: A 35-year-old male presented to the emergency department after falling from a tree from an approximate height of 15 feet. He sustained multiple rib fractures and a left hemopneumothorax. Examination revealed decreased air entry over the left hemithorax and a systolic murmur over the left sternal border. Electrocardiography showed a junctional rhythm, and troponin levels were significantly elevated. Despite tube thoracostomy, the patient remained hypoxemic. Cardiology evaluation revealed a flail tricuspid valve with severe regurgitation and a traumatic atrial septal defect (ASD). Bidirectional shunting across the atrial septal defect was causing hypoxemia. The patient underwent surgical repair of the ASD and tricuspid valve, which resulted in a successful outcome. Conclusion: Our case highlights the need for comprehensive cardiac evaluation in such patients. In addition to sonography for trauma, point-of-care echocardiographic examination should be a part of the focused assessment.
Evaluation of Concrete Fatigue Damage with Elastic Wave-based Measurement Techniques
Authors:   KU Leuven (Catholic University of Leuven), Deresse Nuhamin Eshetu ,   BAM Federal Institute for Materials Research and Testing, Thiele Marc ,   BAM Federal Institute for Materials Research and Testing, Pirskawetz Stephan ,   KU Leuven (Catholic University of Leuven), Sarem Mina ,   KU Leuven (Catholic University of Leuven), François Stijn ,   KU Leuven (Catholic University of Leuven), Verstrynge Els
Published: September 2024

Fatigue damage is a progressive and permanent change in the internal material structure due to cyclic loading. The cyclic loads can be due to wind, waves, temperature variation, and traffic loads. Each cyclic load application introduces micro-damages that accumulate to induce failure. Detecting these micro-damages requires sensitive measuring techniques. Hence this research compares the sensitivity of different measuring techniques applied to fatigue experiments of concrete. The applied NDT are the passive acoustic emission technique (AET) and active ultrasonic measurements. In addition, linear variable differential transformers (LVDTs) are applied as a reference measurement.

Accordingly in this research, cylindrical concrete samples are subjected to monotonic and cyclic Brazilian splitting tests. The cylinders are 100 mm in diameter and 150 mm in length. The cyclic load is applied to these samples with a loading frequency of 5 Hz. During the tests, the damage evolution is monitored with AET, ultrasonic measurements and LVDTs. There are eight AE sensors attached to the sample. The two LVDTs are positioned at the center of the sample's front and back side. Besides passively monitoring the acoustic emissions, the AET sensors are also used to do active ultrasonic measurements. The research reports the comparison conducted on the deformations and cracks measured with the LVDTs, the damage growth identified with the AET, and the change in the ultrasonic pulse velocity measurements. In addition, the study also presents the damage analysis capacity of the methods across different types of loading: monotonic, constant amplitude, and stepped fatigue loading. The comparison shows that combination of AET and ultrasonic velocity measurement is a sensitive indicator for damage growth.
Study of the Martensitic Transformation of Steel During the Induction Hardening Process by means of Acoustic Emissions
Authors:   IK4-Ikerlan, Sola Erlantz ,   Public University of Navarra (UPNA), Rodríguez Rafael ,   IK4-Ikerlan, Aguirre Marcos ,   Public University of Navarra (UPNA), Luis-Pérez Carmelo Javier ,   IK4-Ikerlan, Cabello Mario Javier
Published: September 2024

Non-Destructive Testing (NDT) technology known as Acoustic Emission (AE) has been used to investigate the phase transformation of 42CrMo4 steel in a cylinder during an induction hardening process. The objective of this study is to characterize the martensitic transformation of the material using the data obtained by the AE sensor during the process. The heating process of the cylinder is carried out statically, focusing the heat on the area to be treated and then analyzing it. After quenching, destructive tests are carried out to determine the hardness and three-dimensional geometry of the steel microstructure after the process (hardness and X-ray diffraction tests). Once the microstructure of the material is known, it is possible to relate the results with the signals obtained by AE, making possible in future induction hardening processes the estimation of martensite by non-destructive techniques.
Development of a Semi-Autonomous Pulse and Receive Concrete Inspection System
Authors:   Cardiff University, Atkinson Tim ,   Cardiff University, Pearson Matthew Robert ,   Cardiff University, McCrory John Patrick ,   MISTRAS Group Inc, Marks Ryan ,   Cardiff University, Pullin Rhys
Published: September 2024

Concrete structures are being subjected to increasing loads and used beyond their intended lifespan. When combined with operators shrinking maintenance budgets it is imperative structures are monitored for damage. Acoustic Emission (AE) and AE Tomography offer a method for damage detection and characterisation.

However, they are encumbered by their equipment and setup requirements, and best used on areas where damage is already known to have occurred. An autonomous pulse catch system could be used to identify these areas. To explore the potential of such a system, seven concrete beams differentiated by their aggregate size were tested using an automated pulse and receive system. The effect of aggregate size, and pulse frequency on attenuation and wavespeed are investigated. The pulse regime consisted of narrowband pulses ranging from 30 kHz to 500 kHz. The results show that high frequency pulses experienced greater attenuation than low frequency pulses. Whilst a link appears between the size of the aggregate and the rate of attenuation of high frequency signals. A strong negative correlation between amplitude loss and pulse frequency was observed. For the specimen containing coarse aggregate, pulse velocity was constant between 100 kHz and 500 kHz, whereas specimens containing coarse aggregate experienced frequency dependant attenuation. This testing shows the significant potential for an automated pulse and receive system, which could lead to the development of an autonomous health monitoring system. In addition, the approach can be instrumental in developing large data sets, that can be used in Machine Learning processes, to develop a deeper understanding of AE signal propagation in concrete materials.
Mechanical Robustness Analysis of Semiconductors with a Single Needle Probe Card Using Acoustic Emissions
Authors:   Infineon Technologies AG, Tremmel Florian ,   Infineon Technologies AG, Nagler Oliver ,   Fraunhofer-Einrichtung für Mikrosysteme und Festkörper-Technologien (EMFT), Kutter Christoph ,   Ostbayerische Technische Hochschule Regensburg, Holmer Rainer
Published: September 2024

The combination of indentation testing and acoustic emission (AE) is widely used to analyze the fracture toughness of test substrates. In the manufacturing of semiconductor devices this material parameter also plays an important role. During the so-called wafer testing inside a wafer prober small probe tips are pressed onto the chip surface to check its performance. To prevent damaging the chip by that, the fracture toughness and load limit of it has to be defined in a prequalification step. This paper presents a test system that imitates the wafer testing process as close as possible and uses acoustic emission to detect appearing cracks and thereby also the load limit. The frontend of the test setup consists of a modular single needle probe card which can be placed in a wafer prober. Also, the indenter properties (tip diameter, stiffness, etc.) can be adjusted to the probe used later on during productive wafer testing to ensure realistic probing conditions. A piezoelectric sensor and a full strain gauge Wheatstone bridge are implemented close to the single indenter to measure the AEs and the applied contact force respectively. The signal-to-noise-ratios (SNRs) of both sensors are improved with an own analog amplifier module before recording them with an USB oscilloscope. A developed measurement software (LabVIEW) is used to adjust measurement parameters (trigger limit, record length, conversion factors, etc.) and automatically store and separate measurement data from different acoustic events and imprints. To evaluate the result files a second software tool (MATLAB) reads the files out and clusters the recorded events to separate crack signals from electrical and mechanical disturbances. With a prototype first test results are generated and the functionality and accuracy of the measurement concept is proven.
Acoustic Emission based determination of delamination initiation in GFRP laminates
Authors:   Empa, Swiss Federal Laboratories for Materials Science and Technology, Brunner Andreas J. ,   Montan Universität (University of Leoben), Koss Veronika ,   Montan Universität (University of Leoben), Gfrerrer Maria ,   Montan Universität (University of Leoben), Pinter Gerald
Published: September 2024

Acoustic Emission (AE) has the potential to identify delamination initiation in quasi-static Mode I fracture tests on glass fiber-reinforced polymer-matrix (GFRP) laminates. It had been shown that a combined AE activity and intensity criterion yields critical Mode I delamination resistance values GIC for an AS4/PEEK carbon fiber thermoplastic composite that are comparable to those from data analysis according to ASTM D5528. However, the AE historic index also allows for detection of delamination initiation under Mode I and Mode II loading of carbon fiber reinforced thermoplastics and thermosets. In the present study, these AE criteria for initiation under Mode I, Mode II and Mixed Mode I/II loading of GFRP epoxy laminates are compared with AE signal energy as additional initiation criterion. Initiation under Mode II and Mixed Mode I/II at a ratio of 4:3 was determined with two different set ups for each Mode. For some test configurations noise signals make unambiguous initiation detection difficult. Determination by means of AE energy or AE activity and intensity yields more conservative GC values compared with the AE historic index or criteria defined in the standards, however, with similar repeatability.
تفریق قضایی به سبب عُقم (نازایی) در فقه اسلامی
Authors:   پوهنیارِ دیپارتمنت فقه و قانون، پوهنځی/ دانش‌کدۀ شرعیات، ‌پوهنتون/ دانش‌گاه هرات، هرات، افغانستان, فقیهی فضل الرب
Published: September 2024

وضع شرعی نکاح، اساسًا برای تناسل است، که از کلیات خمسۀ دین به‌شمار می‌رود و سایر مقاصد از قبیلِ ارضای خواهش جنسی، مقصد ثانوی است. گاهی تغییرات در انسان مانع تحقق برخی مقاصد مزبور یا مانع تحقق حقوق زوجین می‌شود و عقد نکاح را به قالب بی‌محتوا مبدل می‌گرداند. عقم (نازایی) در زن یا مرد از عیوب تناسلی‌یی است که مانع تحقق مقصد اولی عقد می‌شود؛ به‌ویژه آن‌گاه که شوهر نازا باشد و زوجه صاحب هیچ فرزندی نباشد، که در این حالت ممکن است زنده‌گی برای وی سنگین تمام شود؛ بنابراین، جست‌وجوی چارۀ شرعی به این مسأله مهم می‌نمود و نشان از ضرورت تحقیق پیرامون این موضوع داشت. هدف پژوهش پیشِ ‌رو، که با روی‌کردِ تحلیلی و ابزارِ کتاب‌خانه‌یی انجام یافته، این است که بیانات اشاره‌گونه و ضمنی فقیهان هم‌راه با دلایل‌شان را در این مورد گردآوری نماید، بسط‌‌ شان دهد، سپس بی‌طرفانه مناقشه و ارزیابی کند و از آن نتیجه‌یی مستدل و محکم به‌دست دهد و با دید فراگیرتر پاسخِ قناعت‌بخش‌تر به این پرسش اساسی ارائه دهد که: آیا نازایی در یکی از زوجین مانع لزوم عقد نکاح می‌شود؟ و خیار عیب را برای طرفین عقد ایجاب می‌کند یا خیر؟ نتیجۀ بحث نشان می‌دهد که دیدگاهی که نازایی را به‌عنوان عیب مانع لزوم عقد و مثبت خیار قلم‌داد می‌کند، توجیه‌پذیرتر است؛ زیرا با قواعد فقه مقاصد و موازنات هم‌آهنگ‌تر است.
میراث علمی علّامه ملا‌علیِ قاری در محوری‌ترین علوم شریعت (عقیده، تفسیر، حدیث و فقه اسلامی)
Authors:   پوهاند/ پروفیسورِ دیپارتمنت زبان و ادبیاتِ فارسیِ دری، پوهنځی/ دانش‌کدۀ ادبیات و علوم بشری، پوهنتون/ دانش‌گاه هرات، هرات، افغانستان, فقیهی فضل‌الرحمن
Published: September 2024

بررسی مظاهر تمدنی هر سرزمین، مستلزم شناخت جای‌گاه معنوی آن در نظرِ اهل مطالعه و تحقیق است. آثار علمی ملاعلی قاری هروی، بخش قابل‌اعتنایی از مظاهر تمدنی سرزمین ما بوده است. بحث در مورد آن آثار، ارزش‌مند است و وضع تمدنی‌ - فرهنگی ما را در مقطعی از تاریخ آیینه‌داری می‌کند. چه او یکی از مفاخر علمی سرزمین ما بوده، که در حوزۀ علوم اسلامی، شهرت جهانی دارد. این مقاله‌، داده‌های کیفی را با روش توصیفی - تحلیلی، با ابزار کتاب‌خانه‌یی، به هدف بررسی میراث علمی قاری هروی، ارزش آن را برای اهل مطالعه تبیین نموده و پاسخ داده که: سهم ملا علی قاری در کتاب‌خانۀ علوم اسلامی در محوری‌ترین علوم شرعی چه اندازه است؟ برایند بحث می‌رساند که قاری هروی در حوزۀ فقه و حدیث، آثار ضخیم‌تر و در حوزۀ عقیده، آثار کوچک‌تر، ولی دقیق‌تری را نگاشته است. همه آثار قاری هروی، ارزنده‌اند و در کتاب‌خانۀ علوم اسلامی، جای‌گاه والایی را به دست آورده‌اند
HİZMET SABOTAJI ÖLÇEĞİ’NİN GEÇERLİK VE GÜVENİRLİK ANALİZİ
Authors: Merdan Ethem , Erdem Ahmet Tuncay
Published: September 2024

Hizmet sabotajı, çalışanın kasıtlı olarak yapılacak hizmetleri engellemeye çalışmasıdır. Hizmet sabotajı, örgütün müşteri kaybına, müşteride yanlış algı oluşmasına neden olabilmektedir. Bu çalışmada amaç, Harris ve Ogbonna (2006) tarafından geliştirilmiş olan Hizmet Sabotajı Ölçeği’ni Türkçeye uyarlamak, geçerlik ve güvenirlik analizlerini yapmaktır. Bu ölçeğin Türkçeye uyarlanması ile ulusal literatüre katkı sağlanarak hizmet sabotajı etkenlerine yönelik önerilerin sunulması amaçlanmaktadır. Bu amaç doğrultusunda araştırmanın temel sorusu “hizmet sabotajının ardıl ve öncülleri nelerdir ve hizmet sabotajı ölçeği Türkçeleştirilebilir mi?” şeklinde belirlenmiştir. Çalışmanın evreni, Kırşehir ve Kırıkkale illerindeki bankalardaki çalışanlar (n=409) olarak belirlenmiştir. Elde edilen araştırma verilerine SPSS 25 ve AMOS 26 programları kullanılarak; açıklayıcı faktör analizi, güvenirlik analizi ve doğrulayıcı faktör analizi uygulanmıştır. Analiz sonucunda tek boyut ve 9 ifadeden oluşan Hizmet Sabotajı Ölçeği‘nin Türkçeye uyarlama işlemi yapılarak özgün bir çalışma oluşturulmuş ve ulusal literatüre katkı sağlanmıştır.
Spectroscopy
Authors: Pillai Dr. Ajai Kumar , Singh Mr. Avinash , Mishra Miss. Samiksha
Published: September 2024

Radiation is the broad term for energy released from a source. It is the process that releases energy into the atmosphere as waves or particles. Although it can refer to radiation from electromagnetic waves in general, including radio waves, visible light spectrum, and even gamma waves, it can also refer to sound, heat, or light in more generic terms. The study of electromagnetic radiation, or energy, and how it interacts with or is produced from matter is known as spectroscopy. It is commonly understood to be the branch of physics that studies how atoms and molecules, whether they are in the gas, liquid, or solid phase, absorb, emit, and scatter electromagnetic radiation.The strength of radiation emitted varies with frequency and is quantified in an emission spectrum. We employ and investigate a broad spectrum of spectroscopic methods that yield data on a vast array of distinct materials. Analytical parts of both qualitative and quantitative analysis employ these techniques as well.