bluuebunny/crossref_metadata_2025 huggingface dataset:
Improving Customer Satisfaction with AI-Driven Virtual Assistants in India’s E-Commerce Industry
Authors: Dr. Meera Iyer
Published: October 2024

This paper examines the growing role of AI-driven virtual assistants in India's e-commerce sector and their impact on customer satisfaction. Leveraging Natural Language Processing (NLP) and machine learning techniques, virtual assistants provide personalized shopping experiences, manage customer queries, and assist with order tracking. The study highlights the implementation of AI-driven chatbots by leading Indian e-commerce platforms and evaluates their effectiveness through customer feedback and interaction analysis. The challenges of deploying virtual assistants in India, including language diversity and user trust, are discussed, along with recommendations for future improvements.
AI-Driven Predictive Maintenance in Indian Manufacturing: Enhancing Operational Efficiency
Authors: Dr. Meenal Ghosh
Published: October 2024

This paper explores the application of Artificial Intelligence (AI) in predictive maintenance within the Indian manufacturing sector. Predictive maintenance leverages AI techniques like machine learning (ML) and deep learning (DL) to predict equipment failures, thus reducing downtime and operational costs. In India, where manufacturing plays a critical role in the economy, the adoption of AI-driven predictive maintenance is still in its early stages. The paper discusses various ML models, such as Decision Trees and Recurrent Neural Networks (RNN), used to predict machinery failures based on historical data and real-time monitoring. The research includes case studies from Indian manufacturing firms that have implemented AI-based predictive maintenance systems, showcasing improvements in machine uptime, maintenance scheduling, and cost-efficiency. The study also highlights the challenges of integrating AI into traditional manufacturing processes, such as data quality, infrastructure limitations, and resistance to change. Finally, the paper offers insights into how Indian manufacturers can scale these solutions to achieve long-term benefits and maintain global competitiveness.
Conversational AI: Transforming Human-Machine Interaction through Deep Learning
Authors: Dr. Alice Williams
Published: October 2024

Conversational AI has revolutionized the way humans interact with machines, with applications spanning customer service, virtual assistants, and healthcare. This paper explores the advancements in conversational AI systems, focusing on the role of deep learning models such as Transformers, BERT, and GPT-3 in improving language understanding and response generation. The study outlines how these models enable AI systems to generate contextually relevant, coherent, and human-like responses in various conversation settings. Additionally, the paper delves into the architecture of neural networks used in Conversational AI, highlighting the progression from traditional rule-based systems to more sophisticated deep learning frameworks. The paper further discusses the challenges faced in conversational AI, such as natural language ambiguity, context retention, and ethical considerations surrounding bias in language models. Moreover, the integration of conversational AI into business processes, healthcare, and customer support is analyzed, showcasing real-world case studies where AI-driven chatbots have improved operational efficiency. The paper also explores the future of conversational AI, including multimodal systems that combine text, voice, and visual inputs for more dynamic interactions. Lastly, it considers the ethical implications of conversational AI, particularly in terms of privacy concerns and data security, offering recommendations for creating more transparent and accountable AI systems.
Securing Cloud Infrastructures: The Role of Deep Neural Networks in Intrusion Detection
Authors: Dr. Karen Lee
Published: October 2024

of cloud systems has become paramount. This paper investigates the application of deep neural networks (DNNs) in cloud intrusion detection systems (IDS). Traditional IDS systems struggle to handle the massive amount of data generated in cloud environments, often leading to high false-positive rates and missed detections. This paper demonstrates how DNNs can analyze cloud traffic patterns, detect anomalies, and distinguish between benign and malicious activities more efficiently than traditional systems. We examine the architecture of various DNN models used in cloud IDS, including Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), focusing on their ability to process sequential cloud data and detect subtle patterns indicative of potential attacks. The paper also discusses the deployment of these DNN-based systems in real-time environments and their integration with existing cloud security frameworks. Additionally, it highlights the performance of DNN-based intrusion detection systems in terms of accuracy, recall, and precision, comparing them with legacy IDS systems. Finally, the challenges in adopting DNN models for cloud security are explored, particularly regarding computational overhead, data privacy, and the risk of adversarial attacks.
The Impact of AI-Driven Risk Compliance Systems on Corporate Governance
Authors: Dr. Andrew Martin
Published: October 2024

Artificial Intelligence (AI) is transforming risk compliance management by automating and improving the accuracy of compliance processes. This paper explores how AI-driven solutions can optimize corporate governance frameworks by ensuring that organizations adhere to regulatory standards. By utilizing AI techniques such as Natural Language Processing (NLP) and machine learning, these systems can quickly analyze vast amounts of regulatory documents, flag non-compliance risks, and suggest corrective measures. The study reviews case studies of organizations that have implemented AI-based risk compliance systems, showcasing improvements in operational efficiency, reduced compliance costs, and minimized risks. Furthermore, the paper highlights the integration of AI in managing complex regulatory environments, especially in financial and healthcare sectors. Key challenges such as the transparency of AI decision-making processes, ethical concerns, and regulatory scrutiny are also examined. The paper concludes by outlining future directions for AI in risk compliance, including predictive analytics and adaptive learning models, which can continuously improve compliance systems in line with evolving regulatory landscapes.
A ATUALIDADE DA TESE DO SINCRETISMO NO SERVIÇO SOCIAL EM TEMPOS DE CRISE ESTRUTURAL DO CAPITAL
Authors: Rodrigues Monique
Published: October 2024

O artigo discorre sobre elementos dos fundamentos históricos,teóricos e metodológicos do Serviço Social, resgatando a tese dosincretismo, com vistas a discutir sua atualidade na conjuntura da criseestrutural do capital, que desafia a formação profissional e os avançosconquistados pela profissão, desde o movimento de reconceituação ede renovação da profissão. Na esteira do método crítico-dialético,mostramos que os profissionais se veem subsumidos a demandasreiterativas da estrutura sincrética da profissão, pela requisição depráticas cada vez mais pontuais, e imediatistas, pondo a necessidadeda categoria profissional fortalecer suas elaborações teórico-reflexivase estreitar as relações entre a academia e os espaços profissionais parafortalecer a perspectiva crítico dialética e viabilizar meios para umaprática orientada e subsidiada pelos princípios constitutivos do projetoético-político da profissão.
LABELING AND ITS EFFECTS ON THE ASPIRATIONS AND MORALE OF CHILDREN IN CONFLICT WITH THE LAW
Authors: Vivian G. Pinkihan  , Clara J. Carpio
Published: October 2024

This study explores the impact of labeling on juvenile delinquency, and also, highlights the significant role of labeling in shaping the behavior and aspirations of juvenile delinquents. Guided by Frank Tannembaum’s labeling theory, which suggests that youths who are labeled may subsequently act as criminals or delinquents. The research aimed to identify how labeling affects juveniles’ academic and social lives and their aspirations, using a descriptive method to profile respondents based on age, gender, education, and offense. Data analysis employed frequency and percentage computations to explain profile variables, and mean calculations to determine average age.
A total of 29 juveniles (26 males and 3 Females) aged 11 to 18 participated, most of whom attended high school. The majority were incarcerated for drug-related offenses. Respondents were commonly labeled with fourteen positive and eleven negative words by family, friends, and neighbors. The effects of labeling were assessed in terms of academic and social encouragements and challenges. Results indicated that positive labeling significantly boosted academic and social encouragement, while negative labeling had little effect on these areas. Additionally, the impact of labeling on morale encouragement varied with age and education level but was not influenced by the types of offense. Labels and labelers affected social life encouragement, whereas only labels impacted academic life.
KEYWORDS: Labeling theory, Juveniles, Positive Labels, Morale, Encouragement, and Aspirations.
EFEKTIVITAS PEMBELAJARAN BERDIFERENSIASI TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA SISWA
Authors: Kadek Ayu Mutiara Pratiwi
Published: October 2024

Kemampuan pemecahan masalah matematika siswa merupakan tujuan penting dalam kurikulum matematika yang realitanya masih tergolong rendah, maka diperlukan sebuah solusi melalui pembelajaran yang berorientasi pada kebutuhan peserta didik. Penelitian ini bertujuan untuk mengetahui efektivitas pembelajaran berdiferensiasi terhadap kemampuan pemecahan masalah matematika siswa. Penelitian ini menggunakan metode penelitian eksperimen semu (quasi eksperiment). Rancangan (desain) penelitian yang digunakan adalah non equivalent pretest-posttest control grup design. Subjek penelitian ini adalah siswa kelas XI SMK N 1 Klungkung. Teknik pengumpulan data adalah dengan instrumen tes pemecahan masalah yang diberikan pada kedua kelompok. Data dianalisis menggunakan uji-t independent sample dengan taraf signifikansi 5% menunjukkan nilai sig < 0.05 sehingga H0 Ditolak. Hal ini menghasilkan bahwa pembelajaran berdiferensiasi memberikan hasil yang lebih baik dibandingkan pembelajaran konvensional, serta melalui nilai rata-rata diperoleh bahwa hasil tes kemampuan pemecahan masalah dengan pembelajaran berdiferensiasi lebih tinggi dibandingkan pembelajaran konvensional. Hasil observasi menujukkan pembelajaran berdiferensiasi membuat pelatihan kemampuan pemecahan masalah lebih efektif karena siswa lebih nyaman karena disediakan konten yang sesuai dengan gaya belajarnya. Temuan ini menunjukkan keefektifan dari penggunaan pembelajaran berdiferensiasi terhadap kemampuan pemecahan masalah matematika siswa.
HUBUNGAN KECERDASAN EMOSIONAL DENGAN KEMAMPUAN LITERASI MATEMATIKA SISWA
Authors: Ni Made Hermayanti  , Gusti Ayu Made Arna Putri  , I Putu Ade Andre Payadnya
Published: October 2024

Penelitian ini mengkaji mengenai tingkat kecerdasan emosional dan kemampuan literasi matematika siswa kelas VIII C di SMP N 14 Denpasar. Pengkajian tersebut dilakukan berdasarkan data yang telah dikumpulkan dengan teknik pengumpulan data berupa observasi, pemberian angket (kuesioner), pemberian tes uraian, serta dokumentasi. Keadaan di lapangan menunjukan kebanyakan siswa masih memiliki kemampuan yang rendah dalam menyelesaikan soal atematika kompleks. Dari keadaan di lapangan tersebut, maka penelitian ini bertujuan untuk mengetahui bagaimana hubungan antara kecerdasan emosional dengan kemampuan literasi matematika siswa. Pendekatan kuantitatif digunakan pada penelitian ini  dengan jenis penelitian ex-postfacto. Adapun desain penelitiannya menggunakan causal comparative research dengan teknik purpossive sampling. Populasi dari penelitian ini adalah siswa kelas VIII di SMP N 14 Denpasar dengan sampel yang diambil yaitu siswa kelas VIII C di sekolah tersebut. Hasil analisis deskriptif menunjukan baik tingkat kecerdasan emosional maupun kemampuan literasi matematika siswa kelas VIII C di SMP N 14 Denpasar berada pada kategori sedang. Dengan hasil analisis inferensial menunjukan terdapat hubungan kecerdasan emosional dengan kemampuan literasi matematika siswa kelas VIII C di SMP N 14 Denpasar.
STRATEGI PENGEMBANGAN PROFIL PELAJAR PANCASILA (STUDI KASUS SMP DI KOTA DENPASAR)
Authors: Bernardus Pawe Due  , Ida Bagus Ari Arjaya  , I Made Surya Hermawan
Published: October 2024

Fenomena masalah yang akhir-akhir ini terjadi di lingkungan sekolah membutuhkan penerapan program penguatan pendidikan karakter. Masalah yang terjadi diantaranya kasus intoleran, prostitusi, pergaulan bebas, bullying, pornografi dan cybe crime. Salah satu upaya yang dilakukan oleh pemerintah untuk menguatkan karakter siswa adalah dengan mengembangkan profil pelajar pancasila. Tujuan dari penelitian ini untuk memberikan strategi dan penerapan pelaksanaan profil pelajar pancasila SMP di kota Denpasar sehingga nantinya dapat diterapkan lebih banyak dan menambah pengetahuan bagi siswa terlebih pada nilai pancasila. Pengumpulan data dilakukan secara offline dengan menggunakan berupa pertanyaan yang meliputi 6 dimensi dengan total 16 pertanyaan. Data yang diperoleh dari persepsi guru terhadap profil pelajar pancasila dianalisis mengunakan aplikasi berbasis web Atlas ti Profil Pelajar Pancasila memiliki enam dimensi yang saling berkaitan dan menguatkan sehingga upaya mewujudkan Profil Pelajar Pancasila yang lengkap. Hasil penelitian menunjukkan bahwa dalam penerapan profil pelajar pancasila pada SMP sekota Denpasar, dimensi beriman, bertaqwa kepada Tuhan Yang Maha Esa dan berakhlak mulia (mengingat berdoa atau sembahyang) dan dimensi berkebhinekaan global (tanggung jawab) merupakan dimensi paling menonjol diantara semua dimensi lainnya. Lebih lanjut Profil Pelajar Pancasila telah diterapkan dengan baik di sekolah, melalui pembelajaran intrakurikuler maupun ekstrakurikuler.
Optimal tactics for surgical revascularisation in diabetic angiopathy of the lower limbs
Authors: Zhakubayev Manat , Yegemberdiyev Tolegen Zh. , Tolegen Alimir I. , Tajibayev Talgat
Published: October 2024

Aim: This study aims to compare the efficacy of conservative treatment methods versus advanced surgical interventions, including revascularising automyelotransplantation and stem cell therapy, in improving vascular patency and the quality of life in patients with diabetic angiopathy.
Materials and Methods: The research analyzed 68 patients with angiopathies under medical supervision from January 2007 to December 2017 at the National Scientific Center of Surgery named after A.N. Syzganov. Participants, aged 4 to 49, were divided into two groups based on angiographic blood flow characteristics: one with accelerated and another with delayed blood flow. A comprehensive participant selection process was implemented to ensure a representative sample. Sensitivity analysis was conducted to validate the findings’ robustness.
Results: The main group demonstrated notable success in limb salvage, with 90.9% avoiding high limb amputation post-revascularising automyelotransplantation. Moreover, 16.7% of patients experienced healing of trophic ulcers and toe necrosis. The use of stem cells from adipose tissue and fetal tissue progenitor cells showed promising results in reducing pain and increasing pain-free walking distance, alongside the formation of collateral vascular networks.
Conclusions: The study concludes that advanced surgical interventions and stem cell therapies significantly enhance treatment outcomes in patients with diabetic angiopathy compared to conventional conservative treatments. These findings highlight the potential of personalized and innovative approaches in managing vascular complications associated with diabetes, offering new avenues for reducing disability and improving patient quality of life. Future research should focus on further refining these therapeutic strategies and exploring their integration into clinical practice.
Biological treatment in chronic disease management: from asthma to ulcerative colitis. A review paper
Authors: Szczygieł Karolina , Sukiennicki Kacper , Grys Iwon
Published: October 2024

Aim: The purpose of this article is to review the literature on the applicability of biologic agents, their mechanism of action, safety and factors affecting their choice in selected chronic conditions: asthma, psoriasis, ankylosing spondylitis and ulcerative colitis.
Materials and Methods: The electronic databases MEDLINE/PubMed and ScienceScholar were searched for studies published in English and Polish and indexed from 2018 to April 2024. Dodatkowo uwzględniono Stanowisko Polskiego Towarzystwa Alergologicznego i Polskiego Towarzystwa Chorób Układu Oddechowego, rekomendacje Polskiego Towarzystwa Dermatologicznego, wytyczne Polskiego Towarzystwa Gastroenterologii i konsultanta krajowego w dziedzinie gastroenterologii oraz wytyczne Global Initiative for Asthma (GINA).
Conclusions: 1. Biological therapy demonstrates a significant reduction in the severity of clinical symptoms and complications associated with a variety of disease entities. An additional value of this therapy is its effectiveness among patients who do not respond to traditional treatment strategies. 2. In the perspective of the future of biologic treatment, it is important to study potential interactions between biologic drugs and other therapeutic methods. 3. To maximize benefits while minimizing complications, requires an individualized approach for each patient.
Enhancing precision and safety in dental surgery – the advantages of piezosurgery
Authors: Rolek Agnieszka
Published: October 2024

Piezosurgery in dentistry is an innovative surgical technique utilizing ultrasonic vibrations to precisely cut bone tissue while minimizing damage to surrounding soft tissues. This method is particularly advantageous for delicate procedures in oral and maxillofacial surgery, including bone graft harvesting, sinus lifts, and tooth extractions. Piezosurgery operates on the principle of piezoelectricity, discovered by Jacques and Pierre Curie in the 19th century, where a piezoelectric crystal converts oscillating electric fields into mechanical vibrations. Devices used in piezosurgery generate ultrasonic frequencies (25–30 kHz) that enable linear vibrations and controlled cutting, selective for mineralized tissues.The technology offers significant benefits over conventional surgical methods, including improved visibility, precise and smooth cuts, and a reduced risk of soft tissue damage. Clinical applications of piezosurgery demonstrate its effectiveness in preserving vital cells such as osteoblasts and osteocytes, promoting faster healing, and better osseointegration of implants. Specialized inserts and operating modes enhance its versatility for various surgical needs. Piezosurgery has shown to lower postoperative complications and enhance patient safety in complex procedures like sinus lifts and bone splitting. This advanced surgical technique represents a significant improvement in dental and oral surgery, offering enhanced precision, safety, and clinical outcomes, ultimately improving the standard of care and patient satisfaction.
Relationship of Stressors on Academic Stress in Nursing Profession Students of dr. Soebandi University
Authors: Amrullah Akhmad Efrizal , Astutik Emi Eliya
Published: October 2024

Introduction: Nursing professional practice carried out by nursing professional students at dr. Soebandi University after completing the educational stage of the undergraduate nursing program. This professional practice must be completed to obtain competency as a professional nurse. Several stressor factors identified include supervisor, study load, study time and study assignments. The aim of this research is to analyze the influence of stressors on academic stress in nursing profession students.
Methods: The research design used was a non-experimental design with a descriptive type, where the approach was cross-sectional and carried out at dr. Soebandi University. The sample type in this research is Non-Probability Sample, with a Purposive Sampling method of 30 respondents. Data analysis used the Spearman Rank Correlation test.
Results: The hypothesis testing show that study assignments influences the emergence of academic stress. Meanwhile, supervisory factors, study load and study time have no effect on academic stress.
Conclusions: Several suggestions can be put forward: providing adequate training to students before carrying out professional practice. Lecturers and supervisors can be more flexible and professional in providing assignments and guidance to students in the nursing profession.
The Effect of Health Education Peer Group Model on IVA Test Examination Attitudes in Women of Childbearing Age in Klayu, Tegalwaru, Jember
Authors: Prastika Niken Dwi , Hidayati Ainul , Karnasih I Gusti Ayu
Published: October 2024

Introduction. Early detection of cervical cancer is an effort to examine the condition of the cervix as early as possible by conducting an IVA (Visual Inspection of Acetic Acid) test, especially women who have been actively having sex. The purpose of this study was to analyze the effect of health education peer group model on IVA test examination attitudes in women of childbearing age in Klayu, Tegalwaru, Jember. This research design is pre-experiment design using One Group Pretest and Posttest design. Methods: The population in this study amounted to 110 respondents. With a sample of 86 respondents using probability sampling techniques by means of cluster random sampling. Statistical test using Fisher's Exact Test. Result: The results of the attitudes of women of childbearing age before being given the health education peer group model showed negative attitude categories as much as (73.3%) and positive attitudes as much as (26.7%). The attitude of women of childbearing age after being given a health education peer group model experienced a change in attitude, in the positive category as much as (97.7%) and negative attitudes (2.3%). Statistical tests using SPSS 24 Fisher Exact Test obtained p-value results of 0.025 <(0.05). Conclusions: With the health education peer group model can improve the attitude of women of childbearing age towards IVA test examination. The occurrence of changes in women of childbearing age to IVA test examination is because women of childbearing age already know and understand the purpose and benefits of IVA test examination which is explained through the peer group model.
Contrapoderes en la democracia constitucional ante la amenaza populista
Authors: Expósito Enriqueta
Published: October 2024

Los populismos y las derivas iliberales de algunos gobiernos ponen en riesgo el funcionamiento constitucionalmente adecuado de las instituciones y organismos encargados de controlar a la mayoría. Ello acaba por debilitar la democracia, entendida como democracia representativa y constitucional, así como la idea de Constitución como límite al poder. En los últimos años asistimos a una erosión gradual de principios e instituciones del Estado constitucional y democrático de Derecho que afecta a los checks and balances entre poderes y también al pluralismo político. Las corrientes populistas e iliberales abogan por dar primacía a los poderes con legitimidad popular, sobre los órganos de control político y judicial, los cuales son considerados como obstaculizadores de la voluntad popular. Pero en realidad instrumentalizan igualmente las instituciones parlamentarias y colonizan los órganos de control, socavando su independencia. Los autores de esta obra reflexionan acerca de estas amenazas. Analizan los déficits del diseño normativo y del funcionamiento de los contrapoderes e instrumentos contramayoritarios. También pasan revista a la eficacia de los límites provenientes de las instituciones europeas e internacionales, así como de la ciudadanía en el ejercicio de sus derechos. El libro plantea propuestas de mejora de la composición y funcionamiento de los contrapoderes y de las relaciones entre instituciones y de estas con la ciudadanía. Todo ello con la pretensión de hacer frente a esas tendencias populistas e iliberales antes de que deriven en regímenes autoritarios.
Study of N,S,O-containing compounds as inhibitors of hydrocarbon oxidation
Authors:   Baku State University, Farzaliyeva A.E. , Rzayeva I.A. ,   Institute of Chemistry of Additives of Azerbaijan Republic, Magarramov A.M. ,   Baku State University, Mammadov I.G. ,   Baku State University
Published: October 2024

The article is devoted to research on the study of synthesized N,S,O-containing organic compounds as inhibitors of hydrocarbon oxidation. The antioxidant properties of these compounds were studied using the kinetic method and using isopropylbenzene (cumene) as a model hydrocarbon. The study of cumene autoxidation in the presence of these compounds showed that all of them have sufficiently high antioxidant properties. To evaluate the ability of these compounds to terminate the oxidation chains by reaction with peroxide radicals, the oxidation of cumene initiated by azodiisobutyronitrile in the presence of these compounds was studied. The results of the study showed that all the studied compounds, by suppressing cumyl peroxide radicals, effectively terminate the oxidation chains and surpass the widely used antioxidant 2,6-di-tert-butyl-4-methylphenol (ionol) in terms of the kinetic parameters of this reaction.
Взаимоотношения амплитуд компонентов зрительных вызванных потенциалов у мужчин и женщин с разными особенностями познавательной деятельности
Authors:   Kursk State Medical University, Belousova Nadezhda I. , Tkachenko Pavel V. , Petrova Elena V.
Published: October 2024

Human life is invariably associated with continuous cognitive processes that depend on the ways and characteristics of perception, processing and reproduction of information, as well as on the control strategy determining the level of cognitive activity. Previous research of the authors of this paper revealed pronounced sex-related differences in psychophysiological processes. These differences are manifested in the perception of information, realization of voluntary motor activity, and formation of a typological complex of resistance to monotonous activity. A number of studies have shown the importance of detection, dissemination and duplication of sensory information in the central structures of the central nervous system for effective implementation of voluntary motor activity. It is obvious that the specifics of the perceptual activity of visual cues and voluntary activity indicators will determine the result and efficiency of the the body’s function. The purpose of this paper was to study the intrasystem relationships of the activity characteristics of the central elements of the visual sensory system by recording visual evoked potentials following presentation of a chess pattern, taking into account the subjects’ sex and cognitive activity features, i.e. field dependence or independence. Materials and methods. The experiment involved relatively healthy students aged 18–20 years (41 men and 54 women), who signed informed consent. We analysed the total multilateral correlations between the amplitudes of visual evoked potentials following presentation of a chess pattern in subjects at different poles of the field dependence/independence cognitive style. Results. We found recti- and curvilinear intrasystem relationships of the activity characteristics of the elements of the visual sensory system which indicate that being at a certain pole of the field dependence/independence cognitive style affects one’s perception mechanisms. Men demonstrate pronounced manifestations of attunement and co-attunement of this activity in the form of curvilinear relationships. In women, the systems are more rigidly, strongly determined in their relationship structure. These facts indicate sex-related and style differences in visual perception strategies in men and women at different poles of the cognitive style.
Ezequiel A. Chávez: Preparatoriano Artífice de la Ley Constitutiva de la Universidad en 1910
Authors: Vargas Villanueva Blanca Alicia
Published: October 2024

El objetivo del artículo es explicar el proceso histórico con el que se legisló la creación de la Universidad Nacional de México (UNM), en 1910, destacando la participación de Ezequiel A Chávez como exalumno de la Escuela Nacional Preparatoria (ENP), abogado, catedrático y funcionario educativo del México porfiriano. Este opúsculo se fundamenta en un ejercicio heurístico y hermenéutico para aprovechar fuentes primarias poco conocidas provenientes del Archivo Histórico de la Universidad Nacional Autónoma de México (AHUNAM) y del Archivo General de la Nación (AGN) de México. Como resultado de la investigación se reconstruyen las etapas burocráticas y legislativas que se fueron cumpliendo para estructurar una nueva institución universitaria que integraba orgánicamente en su seno a la Escuela Nacional Preparatoria (ENP.) Se tiene una mejor comprensión del papel del maestro Chávez, quien fue tanto un producto como un forjador de la ENP y su inclusión institucional a la UNM a través de la Ley Constitutiva de 1910.
Perspectivas Docentes sobre la Evaluación Según el Modelo Educativo de Preescolar 2017
Authors: Ramírez Pérez Sergio Edilberto
Published: October 2024

El presente trabajo describe las creencias docentes sobre la evaluación según el nuevo modelo educativo de preescolar. El propósito del estudio fue identificar las creencias de los docentes de preescolar acerca de la evaluación de los aprendizajes en el aula de acuerdo con el nuevo modelo educativo de preescolar en México, respondiendo a la pregunta de investigación ¿Cuáles son las creencias de los docentes de preescolar acerca de la evaluación de los aprendizajes en el aula de acuerdo con el nuevo modelo educativo de preescolar? La investigación se llevó a cabo bajo el paradigma cualitativo, empleando el diseño de estudio de caso. Se entrevistó a los docentes con licenciatura en Educación Preescolar y licenciatura en Educación Física de un jardín de niños mediante una entrevista semiestructurada conformada.  Como resultado se obtuvo que las creencias de los docentes acerca de la evaluación educativa son diversas. Los docentes no identifican los tipos de evaluación educativa que existen y continúan empleando términos de programas educativos anteriores, así mismo al indagar acerca de la definición que tiene ellos de la evaluación educativa en general se encontró que hay docentes que se centran en conocer los avances de los alumnos, los que se enfocan en los conocimientos adquiridos para continuar avanzando y los que la usan para verificar lo aprendido durante una sesión.  Los docentes demuestran tener conocimientos acerca de la evaluación educativa, pero no están en función de los requerimientos del programa de estudios actual. Al sondear acerca del modelo ideal de evaluación los docentes manifestaron una amplia gama de supuestos ideales donde dejaron ver la seriedad e interés que le asignan.
La Gamificación como Estrategia Activa y Colaborativa para el Aprendizaje de Química en Estudiantes de Primer Año de Bachillerato en Cuatro Instituciones del Ecuador
Authors: Guamán Cuzco Vanessa Catherine , Azán Pinta Isabel Mariana , María Valeria Mendoza Medranda María Valeria , Montesdeoca Cabrera Adriana Natali , Muñoz Muñoz Andrea Paola
Published: October 2024

El estudio abordó la problemática de la enseñanza de la asignatura de química, donde se identificó una falta de metodologías activas que respondieran a las necesidades de los estudiantes, lo que generó un ambiente de aprendizaje poco estimulante. El objetivo fue explorar la gamificación como una estrategia activa y colaborativa para mejorar el aprendizaje en estudiantes de primer año de bachillerato. La metodología empleada incluyó encuestas y grupos de discusión con docentes de Química de diferentes instituciones. La población estuvo compuesta por dieciocho docentes, de los cuales se seleccionaron diez para las encuestas y cinco para los grupos de discusión. Se utilizaron cuestionarios para evaluar la frecuencia de uso de métodos de enseñanza y el conocimiento sobre gamificación. Los principales resultados indicaron que el 50% de los docentes utilizó métodos tradicionales con frecuencia, mientras que el 70% mencionó la insuficiencia de recursos como un obstáculo significativo. Además, el 50% de los profesores mostró un conocimiento limitado sobre la gamificación. En conclusión, aunque los docentes reconocen la necesidad de adoptar metodologías más dinámicas, la implementación de nuevas estrategias se ve limitada por diversos factores, lo que resalta la importancia de seguir investigando y capacitando a los educadores en metodologías activas.
Electrical Tree Image De-Noising using Threshold Wavelet Transform and Wiener Filter
Authors: Rohani Mohamad Nur Khairul Hafizi , Abdulah Cik Siti Khadijah , Gazata Nur Dini Athirah , Ismail Baharuddin , Mohd Isa Mohd Anuar , Rosmi Afifah Shuhada , Jamil Mohamad Kamarol , Muhammad-Sukki Firdaus , A. Mas’ud Abdullahi , Mansor Noor Syazwani
Published: October 2024

Electrical treeing occurred in solid dielectric materials, especially in electrical application with high voltage. The occurrence of electrical tree happens when high electric fields applied, causing tiny channels or paths to form. The main issue during the data collection process is the changes of lighting, making it difficult to study the tree's propagation length, fractal dimension, and growth rate due to corrupted images. This research aims to analyse electrical tree structure images in XLPE material using a CCD camera and develop image de-noising techniques to suppress noise on the electrical tree image. The performance was then analysed using the Otsu thresholding algorithm for accurate segmentation. The methodology was divided into four phases: sample preparation, experimental setup, image pre-processing in MATLAB, and testing four de-noising filters: Wiener, median, NLM, and Gaussian. The Wiener filter with higher PSNR, SNR, and RMSE was selected and using superimposed method, both threshold wavelet transforms and wiener was combined to eliminate the noise. Finally, the proposed method of superimposed was tested with the Otsu thresholding method to evaluate accuracy, sensitivity, and specificity of the combination filter. Based on the analysis of PSNR, SNR, and RMSE, the performance of the threshold wavelet and Wiener filter (TWWF) de-noising technique improves the image quality of the electrical tree structure. Thus, for the Otsu thresholding segmentation algorithm analysis, it also had the highest values in terms of accuracy, sensitivity, and specificity.
Evaluating the Sabah Pay Mobile Application (e-Wallet) using the Technology Acceptance Model
Authors: Jupit Amelia Jati Robert , Zamlan Nurul Aini Amira , Nordin A. imran
Published: October 2024

The Sabah Pay e-wallet has been introduced as a digital payment solution in the state of Sabah, Malaysia, as part of a digital transformation initiative. However, there is a lack of comprehensive understanding regarding its user acceptance and the factors influencing it. Specifically, there is a need to investigate whether users perceive Sabah Pay as useful and easy to use. This research problem arises due to the importance of user acceptance in the success and sustainability of the e-wallet. Hence, we used the technology acceptance model (TAM) to analyse the perceived usefulness (PU) and customer satisfaction in using the Sabah Pay mobile application and the relationship between perceived ease of use (PEOU) and customer satisfaction using the Sabah Pay mobile application. The Cronbach's Alpha and composite reliability values are higher than 0.7, and the average variance extracted (AVE) is higher than 0.5, which supports the TAM constructs' convergence validity. The square root of AVE for each construct is higher than the corresponding correlations between constructs, which suggests the discriminant validity of the constructs. We used the Partial least squares structural equation modelling (PLS-SEM) to assess the data from the 173 respondents who reported using the Sabah Pay mobile application. We found that PU did not significantly affect customer satisfaction (CS), with a p-value of 0.207, although the path coefficient is 0.109, thus disproving the null hypothesis (H1). However, we supported the second hypothesis (H2) by observing that PEOU substantially impacted CS, with a p-value of 0.000 and a path coefficient of 0.614. The correlation indices demonstrated a satisfactory relationship between the data and the model. This research adds to the body of knowledge on mobile payment platforms by shedding light on perceived usefulness and ease of use factors that most affect users' happiness with Sabah Pay. The study suggests and identifies extensive research into potential customer satisfaction aspects like safety, trust, and value. This study's findings have real-world applications for practitioners and regulators looking to improve the mobile payment platform user experience and, by extension, boost customer happiness and adoption rates.
Motivation Elements in Game-Based Learning (GBL) for Tajweed Learning
Authors: Ramlan Nadiah , Fabil Norasikin , Ismail Zawawi
Published: October 2024

Tajweed is a Quranic knowledge, and it is essential to provide a Quranic generation that is fluently and accurately reading the Quran. Unfortunately, previous studies depicted many students unable to read the Quran and indicated low achievement in Quranic subjects. Therefore, there is a need for efforts to create an interactive environment that can support the teaching and learning process, such as Game-Based Learning (GBL). GBL is a teaching aid that can be customized for teaching and learning and encourages students to be actively involved. Meanwhile, various factors are still being investigated in game design to ensure the success of GBL implementation, including motivational elements as an aspect of game design. Therefore, this study aims to identify the effect of GBL design on students' motivation in learning Tajweed. The game (i-Tajweed) deployed a Game Development Framework (GDF) and was tested using a quasi-experimental method on 120 students at primary schools by a purposive sampling method. The study used a set of questionnaires and a set of Tajweed Tests as the instruments for collecting data. The findings of the analysis revealed that the level of significance (0.000 < 0.05) value of the correlation coefficient (r) is 0.310. The result suggests that there is a significant correlation between student's achievement and motivation. Hence, the result proves that using GBL with motivational elements in the design can increase student motivation positively.
Batik Scan: Empowering Cultural Heritage Knowledge Through Mobile Innovation
Authors: Ahmad Mazida , Barudin Nur Aqilah , Omar Mazni , Yasin Azman , Ibrahim Huda , Krisdiawan Rio Andriyat , Sugiharto Tito , Supriyadi Sugeng , Lesmana Iwan
Published: October 2024

Batik Malaysia, a type of textile art known as Batik originated in Malaysia, especially in the east coast states; Kelantan, Terengganu, and Pahang. The Batik mostly uses features flower motifs and designs instead of living creatures, such as humans and animals. Even though Malaysian wear it every day, they do not have sufficient knowledge about Batik. Besides, there is a limited number of platforms where Malaysian can get access to the information of Batik in the easiest and fastest way. Hence, this study aims to design and develop a mobile app for batik identification by only capturing the motifs and designs using a camera feature. The app, called as batik scanner, provides quick information related to Batik Malaysia. This app is especially suitable for adults, batik lovers, and new learners.  The advances in digital technology play an important role in helping people to identify the type of Batik Malaysia. It also can reduce the effort of new learners and Batik lovers to find out information of Batik. To ensure that users will have a good mobile user experience, an understanding of the importance and limitation of the mobile app features and behaviour is necessary. Therefore, the design thinking approach was applied as the development methodology as it provides a solution-based approach to solving problems. User requirements were gathered through interviews followed by defining the core problems. Next, innovative solutions were identified using the brainstorm technique and mind mapping. Once the batik scanner prototype was completed, user testing was carried out with the targeted respondents to refine the solution. An online form also was distributed to evaluate the usability of the prototype. The results of the evaluation indicate that the Batik Scanner need to improve some of the interface designs. The respondents were also satisfied with the functions of managing the information in the Batik Scanner. The study contributes toward understanding users’ needs in creating the solution to the identified problems. It may serve as a guideline for other developers and researchers to develop similar apps or to enhance the features of Batik Scanner to become better and easier for users.
Merging the Application of Artificial Intelligence Technology in Maritime Industry: A Systematic Literature Review
Authors: Mohd Tahir Mohd Shafeeq , Mustapha Ramlee , Hashim Mohd Ekram Al Hafis , Mohd Razalli Norsalwati , Kleebrung Arthit
Published: October 2024

This article presents a thorough literature review on the use of technology in artificial intelligence technology within the maritime industry. The aim is to analyse existing research and identify crucial themes, theoretical frameworks, methodologies, and areas of research gaps in this field. Specific keywords related to artificial intelligence and the maritime industry were used to search the Web of Science (WoS) and Scopus databases. A list of the 34 most frequently cited articles was compiled and analysed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure a systematic and rigorous approach to selecting relevant manuscripts. The analysis revealed three key themes: (1) Role of Artificial Intelligence technology in the maritime industry, (2) challenges in adapting Artificial Intelligence technology in the maritime industry and (3) digitalisation and smart shipyards. Additionally, navigational safety and environmental impact were identified as important considerations in this field. Integrating artificial intelligence into maritime organisations able to develop immersive and impactful syllabus that simulate advanced technology. This allows maritime practitioners to develop related skills and better understand advanced technology. Furthermore, this integration fosters growth and success in the maritime industry, preparing for future development.
INCAPE23-Design of Class E CMOS Power Amplifier with Integrated Active Inductor for 5G Applications
Authors: Zainol Murad Sohiful Anuar , Hasan Ahmad Fariz , Sapawi Rohana , Marzuki Arjuna , Karim Jamilah , Lee Zhao Ying , Nugroho Prapto
Published: October 2024

This paper presents a design of class E power amplifier (PA) with integrated active inductor for 5G applications. A high Q-factor active inductor (AI) is proposed utilizing CMOS 0.18-µm technology. A Gyrator-C based is employed to realize an active inductor with a double cascode resistive feedback configuration. The biasing voltage of 1.21 V, current source of 0.5 mA and supply voltage of 2.5 V is used. In order to obtain high efficiency, the proposed AI is implemented in a class E power amplifier by replacing on of the spiral inductors. According to the simulation results, the proposed AI can reach a high Q-factor of 50,000 and an inductance of 2.03 nH at 3.5 GHz. The power added efficiency (PAE) of CMOS class E PA with integrated AI, according to simulation result, is 72 % at 3.5 GHz. The intended PA's PAE was dramatically raised by the class E AI that was built.
Hierarchy of Territories in the Context of Safety Need in the Mass Housing Settlements: Sample of Kaşüstü/Trabzon
Authors: Ünlü Öztürk Ceren , Zorlu Tülay
Published: October 2024

Safety is one of the basic needs of people. In order to meet the need of safety, people create borderswith behaviourally or physically. In the past, the cities are defended against the threats by borderelements, which were mostly located around the cities. Nowadays, the rings of the borders havebecome narrower due to the complex structure of cities. In this context, different spatial implementsand border elements are created in the mass housing settlements that give importance to safety. Theprovision of hierarchy of territories –including private, semi-private, semi-public and public- isimportant in the mass housing settlements in the terms of meeting the safety need. The aim of thisstudy is to examine the existence of the hierarchy of territories in the sample of mass housingsettlement that give importance to safety. For this purpose, firstly, spatial implements to meet safetyneed are discussed. Then, the implements for meeting safety need were analysed in the selectedsettlement of mass housing. This analysis based on two parameters. First is the existence of thehierarchy of territories and the other is the quality of the boundary elements that define this hierarchy.
The medieval house, authenticity and mutation - case study Armandy's house in the old city of Annaba –Algeria-
Authors: LABBACI Ines
Published: October 2024

This paper reports on the strategies of appropriation of housing by people in old city of Annaba – Algeria- It developed the correspondence between the spatial arrangements of a building and the ways in which its occupants settle in it. The appropriation of the space is envisaged as a process of arranging it to suit the individuals’ way of life. It is a process where they have to organize according to the specific context in which they find themselves. The adaptations and rectifications approved out show the size of the divergences between the spatial properties of their home and their sociocultural models.
Prophylactic antibiotic therapy during endovascular closure of patent foramen ovale: a clinical study
Authors: Tereshchenko A. S. , Merkulov E. V. , Azimova M. R. , Grishin N. S. , Sivakova O. A.
Published: October 2024

Purpose of the study. To study the effect of prophylactic antibiotic therapy on the course of the postoperative period in patients undergoing endovascular closure of patent foramen ovale (PFO).

   Material and methods. The study included 276 patients who were submitted to endovascular closure of PFO. The follow-up duration was 12 months. Depending on prophylactic antibiotic therapy the patients were divided into 2 groups - those who did not receive and those who received prophylactic antibiotic therapy (115 and 161 patients, respectively).

   Results. Cephalosporins were prescribed to patients as prophylactic antibiotic therapy, and in the presence of allergic reactions they were replaced by glycopeptides. In total, patients received 1 to 2 drugs per prophylaxis course. Postoperative complications were present in 37 (22.98 %) patients who received prophylactic antibiotic therapy and 12 (10.43 %) who did not receive prophylaxis (p = 0.007). Access site complications were the most identified, but they were not inflammatory in nature. An elevation of body temperature over 37.1 °C was observed in 19 (11.80 %) patients receiving prophylactic antibiotic therapy compared to 5 (4.35 %) who did not receive prophylaxis (p = 0.03). Meanwhile, marked leukocytosis was absent in both groups. The duration of body temperature elevation did not differ between the groups. They also had a longer duration of hospitalization, 7.00 [6.00; 8.00] bed days, compared to 6.00 [4.00; 7.00].

   Discussion. It has been suggested that hyperthermia may be associated with prophylactic administration of antibacterial drugs causing death of persistent microflora. In patients who did not receive prophylactic antibiotic therapy, their concentration was lower, which did not lead to an increase in body temperature. Since there are no indications on the necessity of prophylactic antibiotic therapy before endovascular closure of PFO in clinical recommendations, it is suggested to evaluate its appropriateness for each patient individually.