bluuebunny/crossref_metadata_2025 huggingface dataset:
Sentimen Komentar Universitas Pelita Harapan Pada TikTok Menggunakan Metode K-Nearest Neighbor
Authors: Wijaya Robert , Suwandhi Albert
Published: August 2024

In the evolving digital era, social media, particularly TikTok, has become a pivotal platform for information sharing and communication, including by educational institutions such as Universitas Pelita Harapan (UPH). The use of TikTok at UPH has generated diverse comments that require effective management, prompting this research to develop sentiment by using the K-Nearest Neighbor (KNN) algorithm. This study aims to address two main issues: analyzing the accuracy of the K-Nearest Neighbor algorithm in sentiment of comment sentences and measuring the performance of the K-Nearest Neighbor algorithm in calculating analysis results on comment sentences. This research employs the KNN method with a dataset of 1213 entries from 2021 to 2023 containing keywords related to UPH from TikTok platform content. The study is managed and conducted on Google Colab using the Python programming language. Based on the results of training and testing data, an accuracy of 91% is obtained, with precision at 93%, recall at 91%, and an f-1 score of 92%. From the performance of the KNN algorithm, it can be concluded that the KNN method can classify sentiment in comments
Tinjauan Terhadap Kerangka Kerja Enterprise Architecture: Analisis Perbandingan Studi Kasus di Perguruan Tinggi
Authors: Albert Brian , Tantono Calvin , Chainatra Derick , Tanoto Jackie , Halim Marcello Stevin , Maulana Ade
Published: August 2024

Pada setiap arsitektur perusahaan terdapat kerangka kerja yang dapat dijadikan acuan dalam menjadikan aktivitas dalam merancang dan mengembangkan arsitektur perusahaan tersebut. Banyaknya kerangka kerja yang dapat dijadikan panduan dalam melakukan aktivitas tersebut menyebabkan perbedaan dalam mengaplikasikan aktivitas kerangka kerja yang sama. Aktivitias yang akan dilakukan pada penelitian ini akan dilakukan dengan tahapan studi literatur dan perbandingan terhadap setiap tahapan atau aktivitas yang ada pada kerangka kerja TOGAF ADM. TOGAF ADM merupakan salah satu kerangka kerja arsitektur perusahaan yang terdiri dari sembilan tahapan didalamnya. Aktivitas tersebut biasanya terdapat empat tingkat seperti bisnis, data, aplikasi, dan teknologi. Hasil dari perbandingan setiap tahapan atau aktivitas kerangka kerja TOGAF ADM, didapatkan suatu aktivitas inti yang harus dilakukan untuk mencapai kerangka kerja yang efektif. Dengan dilakukannya keempat tahapan itu, maka struktur dari arsitektur perusahaan sudah terbentuk dengan jelas dan rinci. Meskipun beberapa aktivitas tidak dilakukan atau dilaksanakan, tujuan dari arsitek perusahaan tersebut sudah dapat terstruktur dengan baik.
Penerapan Data Mining Untuk Klasifikasi Kualitas Udara di Daerah Istimewa Yogyakarta Menggunakan Algoritma C4.5
Authors: Nur Adiya Az Zahra Dwi , Desvita Amanda Fitria , Fidela Anindya , Amelia Dwi , Astuti Tri
Published: August 2024

Air pollution is a global environmental problem that is of serious concern in various regions around the world, including in Indonesia. Poor air quality has negative impacts on human health, ecosystems and economic growth. The purpose of this research is to classify the air quality in the Special Region of Yogyakarta. Classification is done using data mining techniques with the C4.5 algorithm or decision tree. The results of the analysis that has been studied using the C4.5 algorithm used 5822 data and 20 replacement samples with 100 repetitions, so the results of this study obtained 7 decisions or leaves with a success rate of 99.9485% and a failure rate of 0.0515%.
AI-Driven IoT Healthcare System for Real-Time ECG Analysis and Comprehensive Patient Monitoring
Authors: SEDDIKI Mahdi , BOUHEDDA Mounir , TOBBAL Abdelhafid , REBOUH Samia , ANIBA Yehya
Published: August 2024

This study explores the integration of deep learning and Internet of Things (IoT) technologies to enhance healthcare delivery, with a primary focus on improving electrocardiogram (ECG) analysis and real-time patient monitoring systems. The research presents the development of two innovative deep learning models based on the MIT-BIH dataset, enabling highly accurate ECG analysis. One model is trained for precise R-R peak detection, while the other performs effective classification of ECG signals into five distinct disease categories. The study also introduces an integrated healthcare system that seamlessly captures patients' real-time physiological data, including ECG, SpO2, and temperature, using an ESP32 microcontroller and Raspberry Pi. An IoT infrastructure with Node-RED IBM Platform and Message Queuing Telemetry Transport (MQTT) securely transmits the ECG data to the advanced analysis algorithms. The user interface displays patients' vital signs, including heart rate, oxygen saturation, and temperature, providing healthcare professionals with comprehensive real-time insights. By integrating the deep learning models, which achieve approximately 99% accuracy, alongside robust sensor technology and an IoT architecture, this system aims to transform healthcare by enabling highly precise ECG analysis and remote patient monitoring. The findings of this study underscore the potential of the synergistic convergence of deep learning, sensor technology, and IoT to advance healthcare delivery and improve patient outcomes.
TATALAKSANA KOMUNIKASI PEMERIKSAAN KELAINAN REFRAKSI ANISOMETROPIA RENDAH ANAK SD USIA 6-8 TAHUN
Authors: Rizki Abdillah Bunyamin , Nugraha2 Opep Cahya , Budiana3 M Wahyu
Published: August 2024

In conducting a refractive examination of children the role of communication is very important, where we interact with patients, especially in children where our understanding and understanding communicate repeatedly. Eyestrain that often causes a feeling of laziness to read and study so that children's eyesight decreases. Therefore, the role of parents is very important in paying attention to their children when doing something, especially in vision which is a window to the world. Journal writing uses descriptive data collection with literature where smooth communication will get the right examination results.
Корреляционная функция гетерополимеров в области перехода спираль-клубок
Authors: Асатрян А. В. , Мамасахлисов Е. Ш. , Морозов В. Ф.
Published: August 2024

Стабильность гетерогенных биополимеров чрезвычайно важна для поддержания их конформации и выполнения биологических функций. Конформационная стабильность этих молекул определяет их способность сохранять структуру, необходимую для выполнения таких биологических процессов, как каталитическая активность, молекулярное распознавание и клеточные взаимодействия. В рамках обобщенной модели полипептидной цепи (ОМПЦ) была вычислена корреляционная функция двухкомпонентного гетерополимера в зависимости от дистанции, то есть от числа повторяющихся единиц между двумя мономерами в спиральном состоянии, с помощью метода умножения супер-матриц. В результате исследований для нескольких реализаций и различных температур, особенно около температуры плавления, были получены зависимости корреляционной функции от числа повторяющихся единиц между двумя мономерами в спиральном состоянии. Для кривой при температуре плавления была предложена интерполяционная зависимость, которая выражается как сумма экспоненциальной и степенной функций. Такая модель позволяет более точно описывать поведение корреляционной функции в критических условиях, близких к температуре плавления. Экспоненциальная часть модели отражает интенсивное затухание корреляции на коротких расстояниях, тогда как степенная функция описывает слабые изменения на больших расстояниях.
The stability of heterogeneous biopolymers is extremely important for maintaining their conformation and carrying out biological functions. The conformational stability of these molecules determines their ability to preserve the necessary structure for biological processes such as catalytic activity, molecular recognition, and cellular interactions. Within the framework of the Generalized Model of the Polypeptide Chain (GMPC), the correlation function of a twocomponent heteropolymer has been computed as a function of distance, specifically the number of repeating units between two monomers in a helical state, using the method of super-matrices. Through this research, dependencies of the correlation function on the number of repeating units between monomers in the helical state have been obtained for several realizations and different temperatures, particularly around the melting temperature. An interpolation dependency has been proposed for the curve at the melting temperature, expressed as a sum of exponential and power functions. This model allows for a more accurate description of the correlation function behavior under critical conditions close to the melting temperature. The exponential part of the model reflects intense decay of correlation at short distances, while the power function describes mild changes at longer distances.
Teachers as Researchers: Practices, Perspectives, Problems, and a Plan of Action (4Ps)
Authors: Saro Jeffry M , Taray Jecel D
Published: August 2024

This study explored the role of teachers in action research, extending beyond traditional classroom instruction to include professional development and scholarly inquiry. The primary aim was to investigate the practices involved in action research, teachers’ understanding of writing action research, and common challenges faced. Using a quantitative approach with a descriptive-correlational design, the study surveyed 497 teachers from 87 public schools across five districts in Agusan del Sur. Data collection focused on teachers’ techniques, skills, motivations, and problems related to action research. The study utilized stratified random sampling to ensure diverse representation and analyzed data using descriptive statistics and correlational analysis through IBM SPSS v29. Findings indicated that while teachers generally demonstrated competency and enthusiasm for action research, challenges such as time constraints, insufficient support, and research complexity were prevalent. The study revealed a strong correlation between teachers’ engagement in action research and their understanding of research methodologies and problem-solving abilities. Recommendations included providing ongoing professional development opportunities, enhancing institutional support, establishing mentorship programs, improving access to research resources, and creating recognition systems for research achievements. These measures aimed to bolster teachers’ research skills, overcome barriers, and foster a supportive environment for action research. The study emphasized the importance of further professional development and institutional support to enhance teachers’ competencies and address significant challenges in action research.
Microbiological evaluation of bacterial conjunctivitis in children
Authors: Alajbegovic-Halimic Jasmina , Jovanovic Nina , Halimic Tarik
Published: August 2024

Bacterial conjunctivitis is a common condition in paediatric ophthalmology. Incidence and symptoms depend on etiological factor, clinical presentation and age. The most common pathogens which cause bacterial conjunctivitis are: Staphylococcus aureus, Haemophilus influenzae, Streptococcus pneumoniae, Moraxella catarrhalis etc. Conjunctivitis is treated empirically in most cases, the treatment is defined by symptoms and clinical findings, physician prescribes the available antibiotic treatment. Eye swab is indicated in cases of prolonged or non efficient treatment or in case of relapse. Goals: To evaluate bacterial conjunctivitis according to microbial pathogen detected in eye swab, the most common microbial pathogens found and drug susceptibility of antimicrobial agents given in antibiogram. Methods: We retrospectively evaluated 73 microbiological findings of eye swabs in 53 children between January 2019 and March 2020. The sample was cultured on blood and chocolate Gram staining agar incubated under 5-10% CO2, 35-37ËšC with daily reading 40-48h. Bacteria collected from eye swabs were tested for the following antibiotics: chloramphenicol, ciprofloxacin, gentamicin, moxifloxacin, ofloxacin, trimethoprim/sulfamethoxazole, tetracycline, erythromycin, ampicillin, azithromycin, amoxicillin, clindamycin and penicillin. Results: In a total of 53 patients eye swabs were taken, 23(43,39%) male and 30(56,60%) female, age ranged from 0-17 (mean age 32,3Â±52,3 months or 2,7Â±4,4 years) most common patient age was 2 years in 40(75,5%) cases. Number of performed eye swabs was 73, and pathogens were isolated in 70(95,9%) cases, and only in 3(4,1%) cases there were no pathogens in eye swab, meaning that indication for eye swab was highly justified. Among isolated pathogens, Staphylococcus aureus was proved to be the most common, inÂ  20(27,4%) cases, the antibioticÂ  with highest drug susceptibility was chloramphenicol in 33(62,3%) cases. Conclusion: Microbiological evaluation of bacterial conjunctivitis is reasonable in moderate to severe cases associated with mucopurulent discharge, prolonged treatment, and as confirmation of diagnosis. Choosing the accurate antibiotic therapy requires identification of pathogen and assessing its susceptibility. Targeted treatment reduces risk of antibiotic overdosing or unnecessary use of antibiotics. Prudent use of antibiotics reduces antimicrobial resistance.Â
Cervical Intraepithelial Neoplasia (CIN) - Comparison of Histological and Pap Results
Authors: Faletar Zivkovic Valentina , Piskur Ivana , Milic Vranjes Iva , MIlic Jakov , Cosic Vesna , Jakab Jelena , Mrcela Milanka
Published: August 2024

Objectives: The aim of this study is to investigate the compatibility of pathohistological and Pap findings on material obtained by cervical biopsy and excoalation, and to investigate the compatibility of qualitative histological pattern and diagnosisMaterial and Methods: The study included 152 patients with premalignant lesions of the cervix who underwent Pap testing and targeted cervical biopsy. Archival data on Pap test and histologic diagnosis were collected from available medical records. Information on age and advisable clinical diagnoses was obtained from referrals for pathohistologic examination of tissue. The age of the subjects was determined at the time the tissue samples were collected for analysis. Data on the quality of the material were obtained from microscopic evaluation of the collected materialResults: The largest number of patients was diagnosed with cervical intraepithelial neoplasia type 3 (CIN 3) cytologically (57.2%) and pathohistologically (55.2%). The largest percentage of treated material was rated as very good (46.1%). The majority of respondents (92.4%) had no difference in diagnosis based on Pap test and pathohistological analysis. There was no statistically significant difference in the diagnosis made on the basis of the Pap test and pathohistologic analysis depending on the quality of the materialConclusion: There was a strong positive correlation between the grade established by cytology (Pap test) and the pathohistological diagnosis (PHD). There was no statistically significant difference in the diagnosis made on the basis of the Pap test and pathohistological analysis depending on the quality of the material.M
ANALYSIS OF CHALLENGES AND PERSPECTIVES IN THE ACCEPTANCE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY BY HEALTHCARE WORKERS
Authors: Malkic Benjamin , Mesanovic Nihad
Published: August 2024

Aim: The research aims to explore healthcare workers' attitudes towards and acceptance of artificial intelligence in radiology, focusing on its potential to enhance diagnostic accuracy, reduce waiting times, increase service efficiency, and improve patient care. It seeks to assess their willingness to adopt artificial intelligence, along with their concerns, expectations, and educational needs to effectively utilize this technology in radiological practice.Methods: A prospective study surveyed 50 healthcare workers, including radiologists, technicians, nurses, and others using various radiological techniques for diagnosing diseases. Using a quantitative approach, numerical data from distributed surveys assessed their attitudes and knowledge regarding artificial intelligence  in radiology. Conducted at Public Health Institution "Zdravstveni centar Brcko" in Bosnia and Herzegovina's Brcko District over 60 days, the research adhered to ethical principles and received approval from the center's Ethics Committee.Results: The majority of respondents recognize the potential of artificial intelligence to improve the efficiency of radiological services and treatment processes, but at the same time express the need for additional education and training in order to optimally use this technology. Despite the positive perception, part of the respondents are still not sure about the use of artificial intelligence, which emphasizes the importance of continuous information and education of healthcare workers.Conclusion: Ultimately, the research results indicate the importance of further steps in the implementation of artificial intelligence in radiology in order to improve the quality of health care and optimize treatment processes.Keywords: Artificial intelligence, radiological diagnostics, challenges, perspectives, quality of health care.
Xây Dựng Hệ Hỗ Trợ Quyết Định dựa trên Phương Pháp Tiếp Cận Hướng Dữ Liệu để Nâng Cao Chất Lượng Giảng Dạy
Authors: Hien Trinh  , Phuong Le  , Hy Nguyen  , Giang Bui  , Anh T. Huynh  , Hien D. Nguyen
Published: August 2024

Trong thời đại công nghiệp 4.0 hiện nay, việc phân tích và đánh giá dữ liệu để đưa ra các quyết định đóng vai trò quan trọng trong việc cải thiện và nâng cao mọi khía cạnh của cuộc sống. Tại Trường Đại học Công Nghệ Thông Tin, ĐHQG-HCM, sinh viên có cơ hội đánh giá và cung cấp phản hồi về giảng viên vào cuối mỗi học kì, điều này dẫn đến sự hình thành một tập dữ liệu vô cùng lớn và tiềm năng. Để giúp trường đại học thu thập thông tin có giá trị một cách hiệu quả và hỗ trợ các quyết định nhằm cải thiện chất lượng giảng dạy, nghiên cứu này đã phát triển một hệ thống hỗ trợ ra quyết định dựa trên dữ liệu với mục tiêu đảm bảo chất lượng giảng dạy và hỗ trợ cấp quản lý trong việc theo dõi, đánh giá quá trình giảng dạy, gọi là Academic Quality Assurance – AQA. Hệ thống AQA tập trung vào việc hỗ trợ người dùng lọc dữ liệu dựa trên các học kì, các môn học, các phòng ban và các chương trình, sau đó trực quan hóa dữ liệu, cung cấp các so sánh. Điều này hỗ trợ người dùng trong việc đưa ra các quyết định cải thiện cần thiết và theo dõi hiệu quả thông qua điểm đánh giá hàng năm.
Introduction to Algebraic Deformation Theory and The Case of k-Linear Categories
Authors: Van Hoang Dinh
Published: August 2024

Deformation theory is a branch of mathematics which studies how mathematical objects, such as algebraic varieties, schemes, algebras, or categories, can be deformed “continuously” depending on a space of parameter while preserving certain algebraic or geometric structures. Algebraic deformation theory, which was pioneered by Murray Gerstenhaber in 1960s-1970s, established its role as a cornerstone in modern mathematics and theoretical physics. This theory provides a powerful framework for understanding the subtle variations and deformations of mathematical and physical objects depending on a parameter space. Lying at the interface of algebra, geometry and topology this theory has been being studied extensively worldwide and obtained many applications in various areas of mathematics and theoretical physics, such as the study of Calabi-Yau manifolds, mirror symmetry, quantum physics. In such context, this article aims to introduce this important mathematical theory to the community of Vietnamese mathematicians in a hope to bring more attention of Vietnamese mathematicians and math students to this vibrant research area. We also expect that this topic will be taught at universities in Vietnam in the near future.
Retocolite ulcerativa - uma revisão abrangente acerca do diagnóstico e tratamento
Authors: Quintela Anna Luiza Batista , Diamante Artur Carvalho , Santos Bárbara Aparecida Costa , Roque Clara de Freitas , Rodrigues Emanuela Carvalho , Rocha Gabriela Moura , Queiroz Giovana Rocha , Oliveira Igor Gabriel Silva , Fagundes Lucas Lopes , Santiago Luiza Gabriela Noronha , Oliveira Marcos Paulo Andrade de , Souza Marcus Vinícius de , Paschoalino Miguel Guimarães da Silva , Freitas Myrella Lacerda de , Coelho Tiago Bernardes
Published: August 2024

A Retocolite Ulcerativa (RU) é uma doença inflamatória intestinal crônica que afeta o cólon e o reto, caracterizada por inflamação mucosa recorrente. Sua etiologia envolve uma complexa interação entre fatores genéticos, ambientais, imunológicos e microbiológicos. Fatores de risco incluem predisposição genética, dieta ocidental, uso de antibióticos e exposição ao tabaco. A patogênese é marcada por uma resposta imunológica desregulada na mucosa intestinal, com produção de citocinas pró-inflamatórias e perpetuação da inflamação crônica. A disbiose do microbioma intestinal também desempenha um papel crucial na doença. O diagnóstico combina critérios clínicos, endoscópicos, histológicos e laboratoriais. Sintomas comuns incluem diarreia sanguinolenta e dor abdominal. A colonoscopia com biópsia é o padrão-ouro, permitindo visualização da mucosa inflamada e confirmação histológica. Marcadores inflamatórios como PCR e calprotectina fecal auxiliam no diagnóstico e monitoramento. Técnicas de imagem, como ressonância magnética enterográfica, são úteis para avaliar complicações e extensão da inflamação. O tratamento é escalonado, baseado na gravidade da doença. Aminossalicilatos, como a mesalazina, são usados para casos leves e moderados. Corticosteróides são indicados para indução de remissão em casos mais graves. Agentes imunomoduladores e terapias biológicas, como inibidores de TNF-α, são opções eficazes para pacientes refratários. A cirurgia, como a proctocolectomia total com anastomose ileoanal, pode ser necessária em casos graves. A RU exige uma abordagem diagnóstica e terapêutica abrangente e personalizada, com manejo multidisciplinar para otimizar os desfechos e a qualidade de vida dos pacientes. Avanços na compreensão da fisiopatologia e no desenvolvimento de novas terapias oferecem esperança para um melhor controle da doença.
Hiperplasia Prostática Benigna: uma revisão abrangente dos aspectos diagnósticos e terapêuticos
Authors: Silva Ana Carolina Magalhães Chagas e , Gomes Anamaria de Araújo , Massote Bruno de Barros , Oliveira Fernanda Caetano Solano , Rosa Neto João Salviano , Alves João Vitor Domingos , Rosa Laura de Oliveira Martins , Benevenutti Letícia , Dutra Letícia Cardoso , Pereira Luísa Bambirra , Signorelli Mariana de Sena Milagres , Silveira Nícolas Semaan , Moura Suélen Lacerda , Alves Talita Silva , Faria Thaís Guimarães de
Published: August 2024

A Hiperplasia Prostática Benigna (HPB) é uma condição prevalente em homens idosos, caracterizada pelo aumento não maligno da glândula prostática, que pode resultar em sintomas urinários significativos e impactar a qualidade de vida. Este artigo fornece uma visão abrangente da HPB, começando com sua definição e a relevância clínica para a saúde pública. A importância da HPB é sublinhada pelo seu impacto na qualidade de vida e no sistema de saúde, dado que os sintomas urinários associados, como frequência, urgência e dificuldade para urinar, podem afetar consideravelmente as atividades diárias dos pacientes. A epidemiologia é abordada com uma análise detalhada da prevalência e incidência global, bem como das variações regionais. Fatores de risco populacionais, como idade, comorbidades e fatores de estilo de vida, são examinados, com foco nos grupos etários mais afetados. A fisiopatologia é explorada, com ênfase nos mecanismos que contribuem para o aumento prostático e nas alterações estruturais que ocorrem. A etiologia e os fatores de risco associados à HPB são analisados, incluindo a influência de doenças crônicas, uso de medicamentos e exposições ambientais. As manifestações clínicas da HPB são discutidas em detalhes, abrangendo os sinais e sintomas comuns e as complicações potenciais. Os métodos de diagnóstico são descritos, incluindo os critérios diagnósticos, exames laboratoriais e de imagem, e os biomarcadores emergentes que podem auxiliar na detecção precoce. O tratamento clínico e cirúrgico é abordado, com ênfase nas intervenções iniciais, terapias farmacológicas, e técnicas minimamente invasivas. A prevenção é discutida, destacando as estratégias para reduzir o risco e a importância da educação do paciente. Finalmente, a análise do prognóstico e dos desfechos a longo prazo é realizada, seguida pela exploração das perspectivas futuras e das áreas de pesquisa promissoras.
Cardiomiopatia dilatada: uma revisão abrangente sobre diagnóstico, tratamento e perspectivas futuras
Authors: Soares Maíra Ravel Nunes , Couto Bárbara Belloni Perez , Rodrigues Flávia Alves Jeangregório , Branco Gabrielle Gontijo Guimarães , Montanha Isabella Souza , Medeiros Karoline Lopes Lelis de , Torquato Lorena Brito , Morais Lorena Ricardo Guimarães Alves , Magalhães Luísa de Aguiar , Trillo Maria Luisa Nicolichi , Silva Milena Campos , Guimarães Pedro Henrique Barbosa , Rosenthal Sophia Turci , Sena Thiago Lopes , Rodrigues Túlio Alves Jeangregório
Published: August 2024

A cardiomiopatia dilatada (CMD) é uma condição caracterizada pela dilatação e disfunção do ventrículo esquerdo, resultando em insuficiência cardíaca congestiva e, frequentemente, comprometimento da função sistólica. Este artigo explora a definição, importância clínica, evolução do conhecimento e objetivo da pesquisa sobre CMD. A CMD é uma das principais causas de insuficiência cardíaca e está associada a uma variedade de sintomas clínicos, incluindo dispneia, fadiga, palpitações e edemas periféricos. O impacto da CMD na saúde pública é significativo, com alta morbidade e mortalidade, e a compreensão aprofundada dos mecanismos subjacentes é crucial para a melhoria do manejo e prognóstico dos pacientes. O diagnóstico da CMD envolve uma avaliação clínica detalhada, exames laboratoriais e exames de imagem. O ecocardiograma é fundamental para confirmar a presença de dilatação ventricular e avaliar a função cardíaca, enquanto biomarcadores como o BNP e a troponina ajudam a monitorar a gravidade da doença. O tratamento da CMD é multifacetado, incluindo intervenções farmacológicas, manejo de complicações e, em alguns casos, terapia de reposição renal. A reabilitação cardíaca e modificações no estilo de vida são essenciais para a melhoria da qualidade de vida dos pacientes. A prevenção da CMD foca na identificação e controle de fatores de risco, modificação do estilo de vida e monitoramento de condições pré-existentes. O prognóstico da CMD depende da gravidade da doença, com riscos elevados de complicações graves e impacto na mortalidade. A pesquisa futura visa aprimorar o entendimento dos mecanismos patológicos, desenvolver novas terapias e explorar abordagens não farmacológicas para o tratamento e a prevenção da CMD. A colaboração entre pesquisadores e clínicos é fundamental para avançar na gestão da CMD e melhorar os desfechos para os pacientes.
Stereotip Orang Dengan Gangguan Jiwa Pada Masyarakat Wilayah Kerja Puskesmas Poasia Kecamatan Poasia Kota Kendari Sulawesi Tenggara
Authors: Pongdatu Merry , Rachmawati Umi , Armayani  , Yati Mimi
Published: August 2024

Stigma merupakan tanda atau label yang diberikan Masyarakat pada individu tertentu sebagai atribut yang melekat untuk memperburuk citra dan status moral. Stigma untuk Orang dengan gangguan jiwa (ODGJ) diberikan karena ODGJ dianggap individu yang berbeda dan hina (Setiawati, 2012). Stigma yang dirasakan oleh ODGJ berdampak pada kondisi fisik, psikologis dan sosial (Rasmawati, 2018). Angka gangguan jiwa tahun 2018 sebanyak 1.787 jiwa dan hanya sekitar 1.147 jiwa (64,19 %) yang mendapat pelayanan kesehatan. Data gangguan jiwa khusus wilayah kerja Puskesmas Poasia sebanyak 14 jiwa (Profil Dines Kesehatan, 2022). Penelitian ini merupakan penelitian kualitatif dengan pendekatan Interpretative fenomenologis dimana partisipan diberi kesempatan untuk mengeksplorasi informasi terkait stigma terhadap ODGJ. Jumlah partisipan 7 orang yang terdiri dari: 3 orang Kepala Kelurahan,  3 orang warga, dan 1 orang informan kunci yakni programer kesehatan jiwa. Tehnik pengambilan sampel dilakukan secara purposive sampling. Pengumpulan data dilakukan melalui wawancara terstruktur dengan menggunakan pedoman wawancara. Ditemukan 3 informasi penting terkait stigma dalam bentuk stereotip terhadap ODGJ yaitu defenisi ODGJ, penyebab seseorang menderita gangguan jiwa dan keberadaan ODGJ dilingkungan masyarakat. Kesimpulan penelitian adalah pada masyarakat setempat masih melekat adanya pandangan buruk atau stereotip yang dapat dilihat dari bagaimana masyarakat mendefenisikan ODGJ sebagai orang gila, sinting, gila dan miring. Tujuan dari sebutan tersebut untuk mengejek dengan alasan  ODGJ berpenampilan acak-acakan dan kotor selain itu ODGJ menunjukkan sikap yang aneh, seperti berbicara sendiri, kadang ketawa tapi tiba-tiba menangis dan juga mengamuk. Implikasi penelitian ini bagi tenaga kesehatan yaitu dapat menjadi acuan untuk menyusun program kesehatan jiwa dalam mengadakan penyuluhan dan edukasi kepada masyarakat tentang kesehatan jiwa dan dampak stigma. Diharapkan penelitian ini juga dapat menjadi bahan kajian khususnya pemerintah kecamatan Poasia dan Kelurahan yang ada dilingkup kecamatan untuk meningkatkan keamanan dan kenyaman masyarakat binaannya melalui sikap caring pada pasien, keluarga dan masyarakat.
Superhuman Marxism in Mark Millar’s Red Son
Authors: Nento Arief Rahmat
Published: August 2024

The object of this research is a Graphic Novel entitled “Superman: Red Son” by Mark Millar. The novel is a story about a Superman in a different universe who lived amongst the society of communist and was raised by communist Ideology, involving issues of social nomenclature.  The basis of this research resides in Marxism Theory and Graphic Novel. This research aims to determine the message conveyed behind the book as either critique or support towards the ideas of Communism. This research applied qualitative descriptive method and Marxist Literary Criticism as its Literary Approach. The Research Result pointed out that the book significantly showcased how far the success of Communism could go, especially with a Superhuman leader by their side. Simultaneously, the results also indicated that this work also represents critique upon Communism failures, specifically over the downfall of a utopian state the Super-powered leader had worked so hard for. This research revealed how Marxism could ideologically endure and survive, despite being overpowered by relentless Americans. It also shows that despite having a Superhuman leader, several problems became the factor of Communism failure in both the book and in reality remains unaverted.
Educational Needs and Training for Women Empowerment in India
Authors: Ahmed Mukhtar , Zameer Mohd , Verman Sunil Kumar , Godiyal Sunita
Published: August 2024

Women in India have faced a lot of problems and issues for their rights. Therefore, the present paper aims to examine the role of education for women empowerment in India and study the government schemes for women empowerment in India. The present study is based on the descriptive type of research. For this study, the researcher used secondary data. The study found that women empowerment is an energetic and dynamic process that facilitates them to realize their identity and power in all characteristics. Due to the lack of educational facilities and training, Indian women left their education in the middle. That is why Indian women are far away from their rights. Most of the Indian women are housewives, but in the present time, it has been improved in many areas; most of the vocational courses and training programs have been introduced by the Indian government.
The Use of Particles in Ngapak Bumiayu Language: A Study of Systemic Functional Linguistics
Authors: Hasanah Atiq Aqiqotul , Daud Ilyas
Published: August 2024

This study explores the use of particles in Ngapak Bumiayu, a Javanese dialect spoken in Bumiayu, Brebes, Central Java, using Michael A.K. Halliday's Systemic Functional Linguistics theory. Data was collected from everyday conversations of native speakers using a descriptive analysis method. The identified particles—kok, lho, kok ya, toh, wis, and bar—each have unique roles in sentence structure and meaning. The ideational metafunction shows that these particles enrich the information in sentences. Without particles, sentences present straightforward facts, but with particles, they carry additional nuances that enhance the message. For the interpersonal metafunction, particle placement affects meaning. Kok can be in any sentence position, conveying surprise or emphasis. Lho emphasizes attention. Kok ya, typically at the beginning or middle, shows wonder and affirmation. Toh, usually at the end, indicates finality. Wis, in the middle or end, signifies completion or agreement. Bar indicates ongoing or recent actions. The textual metafunction highlights particles' role in maintaining text coherence and cohesion. They ensure consistency and continuity in discourse through repetition, serving as connectors (referential cohesion), and maintaining consistent meanings across contexts (lexical cohesion). These particles are essential for structuring and organizing information in sentences and conversations. These findings illustrate the significant role of particles in enhancing communication, structuring information, and providing nuanced meanings in the Ngapak Bumiayu language.
Hypoglycaemia in screening oral glucose tolerance test in pregnancy with low birth weight fetus
Authors: Gana Nicoleta , Huluta Iulia , Gica Nicolae
Published: August 2024

Maternal hypoglycemia, a condition characterized by lower than normal blood glucose levels in pregnant women, has been increasingly associated with adverse pregnancy outcomes, including low birth weight (LBW) in neonates. LBW, defined as a birth weight of less than 2500 g, can result from various factors, including maternal nutrition, health status, and metabolic conditions like hypoglycemia. Maternal hypoglycemia may affect fetal growth by altering the supply of essential nutrients and oxygen to the fetus, leading to restricted fetal development and growth. This condition poses significant risks not only during pregnancy but also for the long-term health of the child, increasing the likelihood of developmental delays, health issues, and chronic conditions later in life. Research in this area has focused on understanding the mechanisms through which maternal hypoglycemia influences fetal development, with studies suggesting that alterations in placental blood flow and nutrient transport, as well as direct effects on fetal insulin levels and metabolism, may play a role. Given the potential impact of maternal hypoglycemia on neonatal health outcomes, early detection and management are crucial to minimize risks for LBW and its associated complications. Further investigations are needed to fully elucidate the complex interactions between maternal glucose levels and fetal growth, as well as to develop targeted interventions to support the health of both mother and child. Understanding these relationships is vital for improving prenatal care and outcomes for pregnancies complicated by hypoglycemia.
The Economic Growth and Environmental Kuznets Curve Hypothesis Evolution and Assessment, Causes and Prospective: A Review of Literature under a Critical Analysis
Authors: Gdad Mr. Mallikarjun , Kademani Mrs. Sunita
Published: August 2024

Based on econometric estimates, recent research has shown an inverted-U link between environmental quality indices and income, known as an environmental Kuznets curve. This may affect economic and environmental policies. This paper examines this research as a whole and finds that unequivocal evidence for an environmental Kuznets curve relationship is very scant; that important indicators show a monotonically increasing relationship; and that even if there is a relationship, most of the world's population is still on the increasing section of the curve, so income growth based on this relationship would result in con In conclusion, the income—environment link is still problematic and requires deliberate environmental policy if future income increase is to be sustainable. If the environmental Kuznets curve is correct, economic growth in both developed and developing nations may prevent environmental issues, which are largely caused by economic development. Global environmental talks are biassed to follow the environmental Kuznets curve theory. Environmentalists say economic growth has done a lot of damage to the environment, especially with higher energy demand, but economists say it will solve these issues in the long run. Since the cause is the remedy, the link between environmental change and economic development has broken. The environmental Kuznets curve compares pollution indicators to per capita income. Economic expansion first causes environmental pollution, but as incomes rise, it improves the environment. Environmental economics examines water quality, air pollution, solid waste, global warming, and other environmental concerns' costs and benefits. 1.1. Key words: Environmental Kuznets Curve, Economic Growth, Economic Structure, Equation of EKC, Level of Environmental Degradation, Key Takeaways.
POLICY BRIEF: TACKLING THE SOCIAL, ECONOMIC, AND LEGAL IMPACTS OF ONLINE GAMBLING IN INDONESIA
Authors: Akbar Gugun Geusan , Ulumudin Aceng , Kania Ikeu , Nurliawati Nita
Published: August 2024

Online gambling has rapidly become a pervasive issue in Indonesia, fueled by increased internet access and the widespread use of smartphones. This policy brief provides a comprehensive analysis of the social, economic, and legal impacts of online gambling in Indonesia, while offering actionable policy recommendations to mitigate its negative effects. This research synthesizes findings from six key studies and integrates insights from thematic analysis conducted through stakeholder interviews, including perspectives from psychologists, legal experts, law enforcement officials, and community leaders. The analysis highlights significant mental health challenges associated with online gambling, particularly among teenagers and family leaders, such as increased stress, anxiety, and family disintegration. Economically, online gambling leads to financial ruin for many families, resulting in debt accumulation, loss of assets, and broader community-level economic instability. Legally, the study identifies critical gaps in Indonesia's regulatory framework, which struggles to address the complexities of online gambling in the digital era. The findings underscore the need for comprehensive policy interventions, including updates to legal frameworks, enhanced law enforcement capabilities, public education initiatives, and community-based support systems. By implementing these strategies, Indonesia can more effectively combat the negative impacts of online gambling, protect vulnerable populations, and promote a healthier, more secure society.
ARTIFICIAL INTELLIGENCE (AI) IN LANGUAGE LEARNING (ENGLISH AND ARABIC CLASS): STUDENTS’ AND TEACHERS’ EXPERIENCE AND PERCEPTIONS
Authors: Yatri Deni , Anugerahwati Mirjam , Setyowati Lestari
Published: August 2024

This study explores the integration of Artificial Intelligence (AI) in language learning within English and Arabic classes. The research involved 18 participants, encompassing learners and teachers of both languages. It aims to understand their experiences, perceptions, and challenges when incorporating AI into language education. Learners demonstrated diverse use of AI tools such as Chat GPT, Grammarly, and Elsa, leveraging them for various language learning aspects including writing enhancement, speaking practice, and translation. While English learners extensively employed multiple AI tools, Arabic learners primarily relied on Chat GPT for scientific paper writing, with limited exploration of other available AI variations. Participants generally viewed AI integration positively, recognizing its facilitative role in learning, yet raised concerns about potential over-reliance, plagiarism risks, reduced creativity, and inaccuracies. Teachers relied on Grammarly for grammar correction and Chat GPT for language tasks, emphasizing the need for human validation to ensure contextual accuracy despite acknowledging AI benefits. Challenges identified included limited access due to premium features, connectivity issues, and ethical concerns surrounding AI-generated content. The study emphasizes AI's significance as a valuable aid in language education while cautioning against excessive reliance. It highlights the necessity for human intervention to validate AI-generated content, stressing critical thinking and a balanced approach to leverage AI's advantages while mitigating its potential drawbacks.
DEVELOPMENT OF WEB-BASED WORD CARD MEDIA WORDWALL FOR PRACTICING BEGINNING READING SKILLS CLASS I SDN NO. 105321 QUIZ BARACADEMIC YEAR 2023/2024
Authors: Lestari Dwi , Ramadhani Mastari , Putri Nizmi
Published: August 2024

This research was conducted based on observations carried out by researchers at SDN 105321 Batang Kuis. During the observation, the researchers discovered a problem, namely the students' low reading ability. Based on the results of interviews conducted with homeroom teachers regarding students' reading abilities, it was found that students' reading abilities were still low, with many students unable to recognize letters. This is attributed to the limited media available for use in learning and the fact that many students did not go through early childhood education before continuing their elementary school education. This research aims to develop word card media for initial reading material for grade I elementary school students. The study employs the Research and Development (R&D) method. The results of the research show that the word card media is declared suitable for use as a learning medium, with an assessment percentage from media experts of 99.9% and an assessment percentage from material experts of 90.6%. These percentages indicate a very good category from the feasibility test assessment by both media and material experts. Furthermore, the results of the research conducted on 27 students received an assessment carried out by the homeroom teacher as an observer during the field trial process. This assessment yielded a percentage of 95%, which falls into the very good category. The word card media was deemed suitable for use as a learning medium and was able to improve students' reading abilities..
ASSESSING THE IMPACT AND CHALLENGES OF ENGLISH AS A MEDIUM OF INSTRUCTION IN INDONESIAN HIGHER EDUCATION: A PATHWAY TO GLOBAL INTEGRATION OR A BARRIER TO LOCAL IDENTITY?
Authors: Numan Muhammad , Ayaz Maria
Published: August 2024

This research examines the effect of the implementation and implication of English as Medium of Instruction in Indonesian higher education institutions. It further examines the impact of EMI on educational outcomes, cultural identification, and the linguistic future. The study assumes both the positive and negative significance of the above measures. Following the qualitative methodology, the case study conducted semi-structured interviews with 30 participants, including 15 faculty members and 15 students, from three diverse universities in Indonesia. The diverse perspectives demonstrate both the positive and negative impacts of EMI. While the research finds a positive correlation between EMI implementation and English proficiency, as well as better global engagement, the study also exposes such hindrances to the EMI as the language proficiency barriers and the issues of cultural displacement and lack of equity. Apart from that, the fears related to the erosion of Bahasa Indonesia and the local identity are also due to the friction between culture preservation in globalization integration. As a result, the policy recommendations are developed with the idea to propose the measures of the transition to the EMI, which does not replace the national educational practices and values.
PHILOSOPICAL OF SYAIKHONA KHOLIL’S MOSQUE IN DEVELOPING CHARACTER MADURESE LOCAL WISDOM
Authors: Syifauddin Moh.
Published: August 2024

The aim of this research is to explain the philosophical meaning of Syaikhona Kholil’s mosque in building the character and ethics of local Madurese wisdom using semiotic studies. This research focuses on the philosophical meaning of Syaikhona Kholil’s mosque in building character and ethics of Madurese local wisdom uses using semiotic studies using qualitative research methods, which are used to analyze meaning using systematic linguistic research. The data sources in this research were obtained from the results of a field survey and through interviews with the grave guard or caretaker of the Syaikhona Kholil Bangkalan mosque. Furthermore, the results of various interviews and surveys will then be analyzed using semiotic studies. From the results of this analysis, the philosophical meaning that appears and is contained in the mosque of Syaikhona Kholil Bangkalan can be classified. Then we can map the meaning contained in the mosque of Syaikhona Kholil. From the results of this analysis and mapping, religious tourism in Madura, especially Bangkalan, will be more widely introduced.
CASE STUDY: ANALYSIS OF FOURTH GRADERS’ THINKING LEVELS ON ENGLISH VOCABULARY USING SMARTBOOK BASED ON BLOOM’S TAXONOMY
Authors: Jayanti Sasti Nanda , Darmawan Puguh
Published: August 2024

The use of technology can serve as an attractive tool for students to enhance their abilities, one of which is by utilizing a smartbook that contains materials and practice questions packaged in various digital platforms. This article aims to identify the challenges students face in understanding English vocabulary based on Bloom's Taxonomy. Bloom's Taxonomy has been widely used as a reference to measure students' abilities in the learning process, particularly in the cognitive aspect. The method used in this research is qualitative with a case study approach. The respondents of this study were 7 students, the homeroom teacher, and the fourth-grade English teacher at SDN Sawojajar 6, Malang City. Data were collected through interviews and documentation. The results of the study indicate that students face challenges in solving medium to HOTS (Higher-Order Thinking Skills) level questions due to their low interest in learning English, limited use of gadgets at school, and unfamiliarity with HOTS-type questions in English subjects.