bluuebunny/crossref_metadata_2025 huggingface dataset:
Ventricular bigemini in a patient with serologically positive dengue hemorrhagic fever
Authors: N. R. Salini , S. Srikantan
Published: January 2025

Dengue epidemic is a major health problem in India.  In expanded dengue syndrome major organs involvement and atypical manifestations have been increasingly reported. Cardiac involvement in dengue ranges from benign arrhythmias to fatal fulminant myocarditis. ECG changes usually secondary to myocarditis. Most common ECG abnormality Is bradycardia. Other ECG findings are ST segment depressions and elevation T wave abnormalities, sinus pauses ventricular ectopics, ventricular trigeminy, atrial fibrillation, heart blocks such as first-degree block and Mobitz type I second-degree AV block and bundle branch blocks. Most of the cardiac abnormalities are transient, but sometimes it can aggravate pre-existing conditions and even be fatal. So, assessing cardiac   involvement in dengue patients is important for appropriate management. We are reporting a 55-year-old patient with dengue haemorrhagic fever presenting with ventricular bigeminy symptoms and markers indicative of cardiac compromise which improved after 1 week.
Understanding the complexity of miller fischer syndrome: a case report
Authors: Ramachandran Satheebai Parvathy , Asokan Anil Kumar , Somasekaran Hari Krishnan , Sreehari Sreedhanya , John Novin C. , Nair Arya R. , Chittathuparambil Gopalakrishnan Gowtham Kishore , Eapen Aby C.
Published: January 2025

Miller-Fisher syndrome is a rare neurological disorder characterized by a clinical trial of ophthalmoplegia, ataxia and areflexia. It is a variant of Gullian Barrie syndrome. A variety of other symptoms and signs beyond the triad has been reported. Here we report a case of a 58-year-old male patient with atypical presentation of Miller-Fisher syndrome. He had a history of upper respiratory tract infection 3 weeks prior. After hospital admission, he abruptly developed unsteadiness while walking, diplopia and dysphagia. Clinical evaluation along with antiganglioside antibody made the diagnosis of Miller-Fisher syndrome. After immunotherapy was initiated, the patient improved gradually and later discharged to home. To diagnose a case of Miller-Fisher syndrome, a high index of clinical suspicion and ruling out other aetiologies should be made. Timely effective intervention either plasmapheresis or IV Immunoglobulin can completely reverse the symptoms.
Schwannoma of the colon: a case report and literature review
Authors: Alshahrani Manar Mohammed , Abdelrazek Mohammed Eisa Ramadan , Oraijah Abrar Abdullah , Mohammed Saleh Nasief Bader
Published: January 2025

Tumours that originate from the Schwann cells are known as schwannomas. Schwannomas are generally rare, but the rarest are perhaps those of the colon and rectum. The areas of the body that ordinarily experience more schwannomas include such organs as the head, neck, arms, and limbs. Although they are mostly usually harmless, malignant degeneration may appear without surgery. The current case study is a male, 40 years of age, who reported abdominal pain and recurrent vomiting and was admitted for elective Esophagogastroduodenoscopy (EGD) and colonoscopy. There was no family history of inflammatory bowel disease or cancer, and he had no prior abdominal surgeries. A physical examination revealed mild tenderness in the right lower quadrant. Results of the examinations indicate normal mucosa and vasculature in visualized parts. One polyp ascending around 1 cm was removed completely by cold snare after elevation by an adrenaline base secured by one clip. Another polyp in the transverse colon, around 1 cm, was removed completely by a hot snare base secured by one clip. Following a routine biopsy test that revealed a polypoid lesion consisting of bland spindle cells with an elongated shape. Upon histological testing, a schwannoma was found. Immunohistochemistry revealed that the tumor was negative for EMA, cluster of differentiation (CD)117, calertinin, and synaptophysin, and positive for S100 and vimentin, with a Ki-67 proliferative index of 3%. There was no lymph nodes implicated. Schwannomas may present difficult biopsy investigations, and a reliable diagnosis of this sickness requires immunohistochemistry. Unlike gastrointestinal stromal tumors, Schwannomas contain vimentin and the S100 protein but are negative for CD117. The likelihood of tumor aggressiveness increases significantly in cases recording a Ki-67 score of ≥5%. As a result, the recommended treatment for schwannomas is oncological drastic surgical excision.
Clinical and etiological findings of musculotendinous injuries after physical exercise
Authors: Gavilanez Adonis A. , Riofrío Juan J. , Rumipamba Yesenia L. , Loaiza Francisca A. , Tipan Fernanda S. , Vásconez Paula A. , Proaño Erika V. , Coral Cristhian A. , Villota Bryan A.
Published: January 2025

The pathogenesis of sports injuries is complex and difficult to identify clearly. Recent theories bring to light new mechanisms related to the production of muscle pain and tendinopathies. The accumulation of lactate can cause fatigue and muscle pain. Apparently, the lactate anion is an excellent fuel for myocardial fibre. Its accumulation of lactic acid after performing intense physical exercise can prevent the excitability of the sarcolemma induced by the increase in the concentration of the interstitial potassium ion. The identification of sports and physical activity that can cause damage to our body has become necessary, due to the increase in the incidence of joint injuries generated by physical activity in people who routinely practice exercise and in athletes, in order to prevent future injuries. Articles related to the different mechanisms involved in the different musculoskeletal injuries related to the practice of exercise have been selected.
Darwinizing cough and its modern triggers: newer management approach to cough associated with allergy, asthma, upper airway cough syndrome
Authors: Vora Agam , Tiwaskar Mangesh , Juvekar Meenesh , Gupta Sailesh , Biswas Ayndrila , Bhole Milind , Deshpande Swapnil
Published: January 2025

Cough is a crucial defensive reflex of the respiratory system, essential for expelling irritants and secretions. It can present as acute or chronic cough, often exacerbated by allergic conditions such as allergic rhinitis (AR) and upper airway cough syndrome (UACS). Effective management of cough focuses on addressing the underlying aetiology while simultaneously offering symptomatic relief. Fixed-dose combinations (FDCs) are becoming an increasingly effective approach to enhance patient adherence and streamline treatment. Non-sedating antihistamines, like Bilastine, have demonstrated efficacy in alleviating AR and associated cough, making them an ideal choice for cough syrup formulations. The combination of Bilastine with Dextromethorphan and Phenylephrine provides a suitable treatment option for cough related including UACS, asthma, and respiratory allergies. This formulation is particularly well-suited for pediatric patients aged six and older, offering effective relief from throat irritation without sedation, being well-tolerated, and minimizing risks of cardiovascular and hepatotoxic effects. Pulmonologist, Otolaryngologist, Physician and paediatrician opinions have been gathered to review current practices and provide insights into effective management strategies. This review delves into the pathophysiology and clinical significance of cough, particularly in relation to respiratory allergies, highlighting its complexities and the need for ongoing research to refine treatment strategies and improve patient outcomes.
Current challenges and Indian perspectives in the diagnosis and management of bipolar disorders
Authors: Prasad Rao G. , Pattojoshi Amrit
Published: January 2025

Bipolar disorders (BDs) are episodic illnesses characterised by alternating episodes of mania or hypomania and depression, or mixtures of manic and depressive features. BDs present many diagnostic and therapeutic challenges because of their varying clinical course, symptoms, severity and the presence of comorbidities. They severely burden healthcare systems, particularly in low-income and middle-income countries. In India, managing bipolar disorder is challenging, due to inadequate resources, poor knowledge about the disorder or its treatment, and limited access to healthcare facilities. These disorders impact a large portion of the Indian population, thus highlighting an urgent need to effectively facilitate better diagnosis and management of mental disorders across the country. A careful assessment of previous manic or hypomanic episodes and early identification of comorbidities helps predict disease course and treatment options. Treatment of BDs usually combines medications and psychotherapy. In Indian clinical settings, the first-line treatment for BDs includes pharmacotherapy with mood stabilisers, such as divalproex, lithium, anticonvulsants, and antipsychotics. Psychotherapy, along with lifestyle approaches are useful adjuncts. To reinforce the overall management of BDs, focused group discussions were conducted among 87 psychiatrists across nine cities in India, to gather insights about the burden, diagnostic challenges, and treatment approaches. This review discusses expert insights on optimal diagnostic and treatment approaches for BDs, focusing on psychiatric and non-psychiatric comorbidities, prevalent among Indian patients with type I and II bipolar disorders. It also covers lithium adverse effects, divalproex-place in therapy, and the use of anti-depressant a risk factor for rapid cycling.
Role of radiologist with the advent of artificial intelligence in medical imaging
Authors: Boregowdanapalya Anitha
Published: January 2025

Artificial intelligence (AI) has rapidly emerged as a transformative tool in healthcare, particularly in radiology, where it offers substantial opportunities to enhance diagnostic precision and workflow efficiency. AI, defined as an artificial entity capable of recognizing patterns, processing data, and executing tasks, has revolutionized traditional imaging practices by automating analyses and reducing subjectivity. While radiologists traditionally rely on expertise and visual assessment to detect and monitor abnormalities, this approach can be limited by variability, fatigue, and bias. AI complements radiologists by providing objective, quantitative assessments, enabling early detection of diseases, lesion classification, and image segmentation with greater speed and accuracy. AI's integration into radiology workflows supports risk stratification, personalized treatment planning, and predictive analytics, thus enhancing clinical decision-making and patient care. Despite its potential, AI’s current performance remains task-specific, requiring human oversight to ensure accuracy and reliability, especially in ambiguous cases. Challenges such as algorithm bias, ethical considerations, and regulatory hurdles must be addressed to ensure generalizability, transparency, and patient trust. Radiologists play a pivotal role in validating AI tools and advocating for their responsible implementation, ensuring that AI enhances clinical workflows without compromising the essential human connection in healthcare.
Saneamento básico e saúde no estado de Roraima
Authors: Da Silva Adriano Lucena , Gonçalves Lacerda Elisângela
Published: January 2025

Para compreender melhor o surgimento e propagação das doenças, faz-se necessário investigar o meio em que vive os doentes. Com o avanço do processo de urbanização e, mais ainda, de uma urbanização não planejada, houve um crescimento nos agravos que têm como principais vetores animais e insetos, o que contribui para a reprodução acelerada de vários vetores, como é o caso do mosquito Aedes aegyptit. Nos últimos anos os casos de Dengue, Zica e Chikungunya (DZC) cresceram de forma acelerada no Brasil. Portanto, este artigo tem como objetivo relacionar o saneamento básico, ou a falta, deste com a distribuição espacial dos casos de DZC registrados no estado de Roraima, no ano de 2021. Dessa maneira, os dados relacionados a estas doenças foram obtidos junto ao Sistema de Informações de Agravos de Notificação (SINAN) e as variáveis que se conectam ao saneamento básico foram retiradas do censo geográfico de 2010. A geração dos produtos cartográficos se deu a partir do aplicativo de geoprocessamento ArcGis 10.6® o que possibilitou a representação espacial dos casos de DZC pelo estado de Roraima correlacionando-os com as realidades inerentes ao saneamento básico estadual. Os resultados demonstram um claro padrão de incidência das arboviroses DZC nas áreas com as menores taxas de efetividade quanto ao atendimento no setor de saneamento básico, como abastecimento de água, esgotamento sanitário e coleta de lixo, fator este que reverbera na necessidade de efetivação das leis vigentes e políticas públicas mais assertivas para esse setor.
Ensino de geografia e educação ambiental na perspectiva do lugar
Authors: Maysonnave da Luz Gilcimar , Galdino Lúcio Keury Almeida , Guilherme Ferreira de Paula Gean
Published: January 2025

O presente manuscrito faz uma reflexão sobre o ensino de Geografia no Brasil, bem como um “passeio” pela história do pensamento ambiental, onde aborda a Educação Ambiental (EA) na perspectiva do espaço vivido. Nesse contexto, tem-se como objetivo analisar o ensino de Geografia com ênfase na EA na perspectiva do lugar. Os procedimentos metodológicos foram efetivados numa sólida pesquisa bibliográfica, com referenciais teóricos voltados às discussões e resultados. Por fim, é relevante destacar a categoria de análise geográfica de Lugar sob o alicerce do ensino de Geografia e da EA na compreensão do espaço vivido.
Uma abordagem ao uso e cobertura da terra na área de expansão urbana de Boa Vista/RR
Authors: Prado Gisele , Carvalho Thiago Morato de
Published: January 2025

O Estado de Roraima, região de domínio amazônico, é composto por diferentes unidades das paisagens (UPs), incluso áreas campestres (lavrado; campinaranas), florestas (mata de terra firme, igapós e várzeas), matas ciliares (veredas) e antropizadas, as quais estruturam um mosaico único na Amazônia. Roraima representa próximo de 6% da Região Norte Brasil (2,6% do território nacional), sendo uma região de tríplice fronteira entre Brasil, Venezuela e Guiana. Neste ambiente, a paisagem é marcada por uma geodiversidade de UPs dominadas pelos sistemas agradacionais (90 mil/km², 40% do Estado) e denudacionais (130 mil/km², 60% do Estado), sendo este último de maior dinâmica e de UPs regional. Chama-se atenção das UPs úmidas, como os igapós e várzeas, as quais exercem papel fundamental na regulação hídrica. É notável o crescimento das UPs antropizadas, impactos socioambientais dessa expansão são notáveis, especialmente nos casos de supressão e modificação dos cursos d'água. Desta forma, buscou-se apresentar em contexto geral, a questão da paisagem e sua aproximação para Roraima e suas particularidades. A exemplo, como o uso e cobertura da terra proporciona a compreensão da configuração das paisagens e do seu sistema físico-ambiental, permitindo identificar as fragilidades, potencialidades e capacidade de adaptação por meio dos processos decorrentes da ocupação.
Qualidade da água do rio Araguari no Amapá antes dos impactos da construção e operação de duas usinas hidrelétricas
Authors: Brito Daímio Chaves , Cunha Alan Cavalcanti da , Cunha Helenilza Albuquerque da , Vilhena Jéssica Caroline Evangelista , Silveira Junior Arialdo Martins da
Published: January 2025

O objetivo deste estudo foi realizar uma análise da qualidade da água no médio rio Araguari antes da construção e operação das usinas hidrelétricas Ferreira Gomes e Cachoeira Caldeirão, para subsidiar estudos futuros dos impactos causados neste rio pela geração de energia. O rio Araguari é o principal e maior rio do Estado do Amapá. O monitoramento da qualidade da água foi realizado com frequência trimestral, conforme regime hidrológico nos anos de 2007 e 2008. Foram analisados 16 parâmetros da qualidade da água em cada uma das 23 seções de coleta em 160 km do rio em cinco campanhas de campo. Os parâmetros não apresentaram variabilidade espacial durante a coleta. Contudo, apresentaram variabilidade sazonal significativa. Foi observado que o rio ainda tinha uma capacidade de diluição das cargas poluidoras bastante considerável, pois a maioria dos parâmetros analisados se enquadravam em rios de classe 2 da resolução nº 357/05 do Conselho Nacional do Meio Ambiente.
Da cidade planejada aos espaços de segregação induzida em Boa Vista – RR
Authors: Ribeiro Tony Guarnielle Barbosa , Rosa Filho Artur
Published: January 2025

No processo de produção do espaço urbano, existem lugares destinados à expansão, visto suas condicionantes sociais e físicas. O objetivo geral dessa pesquisa foi realizar um estudo sobre os espaços de segregação induzidos pelo poder público em Boa Vista-RR. Quanto aos procedimentos metodológicos, destacaram-se a pesquisa bibliográfica e documental, interpretação de imagens aéreas e observação de campo. Em Boa Vista, verificou-se que há uma forte tendência do poder público em segregar a população de baixa renda em áreas mais distantes do centro. Os resultados de campo permitiram verificar que, apesar da existência de alguns equipamentos urbanos instalados nessas áreas, os moradores seguem segregados, seja pela localização dos conjuntos, seja pela falta de assistência do próprio poder público em relação ao poder de compra e ao padrão de vida dos moradores desses espaços.
Evolução morfológica recente e controles atuantes no médio curso do sistema do rio Branco, Roraima
Authors: Sander Carlos , Wankler Fábio , Paz Jackson Douglas Silva da , Carvalho Thiago Morato de
Published: January 2025

Discute-se a evolução morfológica recente da planície aluvial do médio curso do rio Branco. Os resultados indicaram tendências agradacionais no canal com processos de acreção horizontal e vertical predominando em relação a erosão. Os controles geológicos se expressam nas observações relativas a: trechos de leito /margem consolidados associados a afloramentos; alargamento da planície aluvial em função da Formação Boa Vista; rugosidade no leito pela presença de horizontes de ferruginização; controle do rio Branco e tributários pela presença lineamentos e altos estruturais (NNE-SSW) e de um baixo estrutural cenozoicos; o gradiente, limitado à jusante e à montante, promovendo à variação da vazão. Os controles hidrológicos se expressam por meio da mudança na amplitude no regime de chuvas, com efeito nas fases de estação úmida e cheia, ampliando a variabilidade dos débitos fluviais, frequência das vazantes e tempo de exposição das barras fluviais, que podem ser mais amplificados pelo efeito do ENOS. Os resultados mostram que ainda há lacunas de conhecimento acerca dos rios marginais à bacia hidrográfica do Amazonas, em especial sobre a evolução espaço temporal da hidrodinâmica fluvial e seus controles locais do transporte e sedimentação.
Women as Objects of Sexual Harassment on Social Media X (A Case Study of Account X @amndzahra)
Authors: Wiyono Dwi Shadillah Talentania Putri , Wibowo Arif Ardy , Nasir Roziani
Published: January 2025

The phenomenon of digital and social media has increasingly raised attention to sensitive social issues, including the case of Amanda Zahra who became a victim of sexual harassment. This research uses a descriptive qualitative approach with a case study analysis method to examine the phenomenon of sexual harassment that occurs on X @amndzahra's social media account using Muted Group Theory as the theoretical basis for this research. The data collection techniques used include non-participatory observation and documentation. The results showed that Amanda Zahrah as a victim of sexual harassment faced difficulties to articulate their discomfort caused by the existence of language dominated by masculine views and social structures that limit women's participation can affect their ability to voice traumatic experiences effectively.
The Role Of Digital Media In Maintaining Pakualaman Culture: Documentation And Community Engagement
Authors: Sekarningrum Anggun Anindya , Lokita Raden Arditya Mutwara
Published: January 2025

This research discusses the role of digital media in maintaining Pakualaman culture, particularly through social media. The main objective is to identify utilisation of digital media to document and engage the public in the preservation of Pakualaman culture. The official social media accounts of Pakualaman, including Instagram and YouTube, serve as channels for the dissemination of information regarding Pakualaman culture. Meanwhile, the public actively engages by sharing content on platforms such as Instagram, YouTube, and TikTok. This participation helps spread cultural values more widely. The diffusion of innovation theory is used to explain the adoption of digital technology by the public in preserving traditional culture. This research uses a descriptive qualitative method with interviews, observation, and digital content analysis as data collection techniques. The results of the study are expected to provide insight into the role of digital media in cultural preservation.
Manipulative Messages in 'Ice Cold: Murder, Coffee, and Jessica Wongso': A Case Study of a Netflix Documentary
Authors: Qadaruddin Muhammad , Artianasari Nining , Saleh Fikruzzaman , Md Shah Jalihah
Published: January 2025

This research examines the presence and implications of manipulative messages in the Netflix documentary "Ice Cold: Murder, Coffee, and Jessica Wongso." By using framing analysis on the film, this research highlights how these messages shape the audience's perception and understanding of the events. The filmmaker's stance on the case attempts to present both sides of the case fairly, allowing the audience to draw their own conclusions. This film portrays Jessica with nuance to consider the possibility that Jessica is both a perpetrator and a victim of the system and excessive media coverage. Furthermore, this research explores the cultural and societal contexts that have influenced the production of the documentary film, revealing how these factors contribute to the overall message. These findings indicate that the film director presents a perspective that attempts to view Jessica as a victim of media pressure and a legal process deemed unfair. Interviews with legal experts, Jessica's friends, and scenes showing the weaknesses and inconsistencies of the presented evidence also contribute to the narrative that Jessica might be innocent and instead a victim of unbalanced media framing. Until the year 2024, Jessica was declared free. This release marks a long-awaited victory for justice. This documentary film plays a significant role in raising public and judicial system awareness about the potential injustices that can befall an individual. This research is not merely entertainment, but rather an important medium that can contribute to voicing injustice and striving for justice in complex and controversial cases.
Development of Convergence Course of Artificial Intelligence and Psychology Applying Team Teaching Method
Authors: Lee KyungHee , Park Hye-Young
Published: January 2025

The purpose of this study is to develop a convergence course integrating artificial intelligence (AI) and psychology using a team-teaching approach. By applying the team-teaching method to course development, it is possible to design a multidisciplinary curriculum in collaboration with experts from various fields. This course aims to merge the two fields of “artificial intelligence” and “psychology”, allowing students to deeply explore key topics that are common to both disciplines. To achieve this goal, an expert group consisting of specialists in artificial intelligence, computer education, psychology, and pedagogy was formed. The AI and psychology convergence course, developed through team teaching, was created based on research reviews, needs analysis, and experts’ Delphi surveys. Through the study, the contents of the classes was designed to cross-connect artificial intelligence and psychology under the same theme, and the educational topics were selected as development, learning, problem solving, mind, coexistence, and nature. In the end of the course, it consisted of group discussions and presentations for artificial intelligence and human ethical issues based on what was learned. As a result of operating the classes with the course developed through this study, the following implications are provided. The convergence course will help students understand the relationship between artificial intelligence and humans in both technical and social perspectives, and expand their humanities perspective on human life. In addition, this course will support students to learn to solve problems in a new way by integrating knowledge and technical aspects of artificial intelligence and psychology, and cultivate convergent thinking skills.
Children’s Accident Prevention System Based on Real-time Video Interpretation and GPS Information
Authors: Park HyunJoo , Jeong Seungdo
Published: January 2025

This paper proposes a smart badge system for children's safety. We implement semantic segmentation technology, GPS-based location tracking, and safety zone setting functions. First, we implemented a situational notification function using semantic segmentation technology. This system analyzes the child's surrounding environment in real-time to detect dangerous situations and provides immediate notification through a badge for children. This can raise children's traffic safety awareness and prevent jaywalking. Additionally, semantic segmentation technology, which can accurately recognize and classify objects in images, dramatically improves the accuracy of situational judgment. This can reduce unnecessary notifications and provide reliable notifications about actual risk situations.  GPS-based real-time location tracking and safety zone setting functions were implemented. The child's real-time location can be checked on the guardian app through the GPS sensor built into the child's badge. This allows continuous monitoring of the child's safety status. Additionally, setting a child's safety zone in the guardian app immediately sends a notification to the guardian when the child leaves the safety zone, enabling crime prevention and rapid response. GPS-based technology improves the user experience by making it easier for guardians to determine their child's location. This system can be applied to various environments and situations and expanded to other child safety services. Additionally, the safety zone setting function helps relieve guardians' anxiety. This can be said to present an innovative solution to child safety.
A Review of Brain Early Infarct Image Contrast Enhancement Using Various Histogram Equalization Techniques
Authors: Ng Yu Jie , Sim Kok Swee
Published: January 2025

Stroke is one of the leading causes of death worldwide, accounting for five of all deaths in Malaysia. It happens when an infarct from a blocked blood artery results in brain necrosis. Diagnoses involving brain diseases and injuries can be made with the help of CT scans, which create axial images by using exact X-ray measurements. These scans offer vital information on the anatomy and physiology of the brain. For an appropriate diagnosis, early infarct brain CT scan contrast can be improved. The two main types of histogram equalization (HE) approaches used for this purpose are Global Histogram Equalization (GHE) and Local Histogram Equalization (LHE), which is also referred to as adaptive histogram equalization (AHE). Locally, LHE uses the block overlapped method to improve photos. Additional sophisticated methods include Dualistic Sub Image Histogram Equalization (DSIHE), Contrast Limited Adaptive Histogram Equalization (CLAHE), Recursive Sub Image Histogram Equalization (RSIHE), Gamma Correction Adaptive Extreme Level Eliminating With Weighting Distribution (GCAELEWD), and Brightness Preserving Bi Histogram Equalization (BBHE). The contrast of brain images is greatly improved by these techniques. Nevertheless, a number of these methods have issues with blur, noise, and preserving local image brightness. According to our research, CLAHE and DSIHE are especially good to improve image contrast and yield better outcomes than other techniques. These methods lessen frequent problems, which makes them better suited to create precise and comprehensive brain images—an essential component of successful stroke diagnosis and treatment.
Generative AI Recommender System in E-Commerce
Authors: Binti Mohd Romzi Nur Anis Nabila , Haw Su-Cheng , Kong Wan-Er , Santoso Heru Agus , Tong Gee-Kok
Published: January 2025

In today's information-rich world, recommender systems are essential for helping consumers find relevant products and content. The development of efficient recommender systems is still a challenging endeavor even with their broad use. This research explores different approaches to building recommender systems, emphasizing the use of generative AI to overcome underlying difficulties. Conventional recommender systems, like collaborative filtering, struggle with problems like sparsity limitations and the cold start problem. This paper aims to provide a comprehensive overview of recommender system techniques and algorithms, identify the limitations of existing methods, and highlight open research questions and directions for future development. A thorough and comprehensive literature analysis of recommender system algorithms is part of the process, ensuring the validity and reliability of the research. The Autoencoder technique—which has shown to be highly significant and effective—is used for the evaluation. The review will provide a detailed analysis of potential for improving research on recommender systems, while also thoroughly addressing the primary challenges and drawbacks of current methodologies. Furthermore, by providing insights into the usage of Generative AI—more especially, the Autoencoder technique— to improve recommender system accuracy. The study hopes to make a substantial contribution to the area. Through the identification and resolution of current methods' shortcomings, particularly regarding the incorporation of Generative AI, the study endeavors to widen up the opportunity for recommendations that are more precise, varied, and focused on individuals. It is anticipated that the assessment process's use of Autoencoder will highlight the usefulness and efficiency of the suggested strategy and highlight its significance in the continuous development of recommender systems.
Big Data Analytics Quality Factors in Enhancing Healthcare Organizational Performance: A Pilot Study with Rasch Model Analysis
Authors: Mohd Nasir Wan Mohd Haffiz , Jusoh Yusmadi Yah , Abdullah Rusli , Abdullah Salfarina
Published: January 2025

Big Data Analytics (BDA) plays a pivotal role in the digital transformation of healthcare, significantly boosting organizational performance within the sector. As healthcare organizations increasingly adopt BDA to leverage data-driven decision-making, understanding the factors contributing to BDA quality becomes imperative. Thus, this study has proposed and developed the BDA quality conceptual model, and a pilot study is part of the process of completing the conceptual model development. The instrument, which is the questionnaire that has been designed, needs to be tested for reliability. Therefore, the pilot study aims to evaluate and refine the instrument used to assess BDA practitioners’ comprehension of the constructs and the reliability of the items. This study utilized the probabilistic approach of Item Response Theory (IRT), explicitly employing the Rasch Measurement Model analysis to enhance the accuracy of measurement instruments, assess respondents' performance, and ensure instrument reliability. The survey instrument comprised 11 constructs and 64 items, which were designed to measure all the constructs: reliability, accuracy, completeness, timeliness, format, accessibility, usability, maintainability, portability, user satisfaction, and healthcare organizational performance. Data were collected from 20 respondents and synthesized according to their responses to each questionnaire item. The analyses were performed using Rasch analysis software, specifically Winsteps. The results of the Rasch analysis included findings on the reliability of persons and items, the distribution map of person-item relationships, identification of misfitting items, and assessment of unidimensionality. Ten items were removed from the initial set of 64 due to misfit, leaving 54 items that effectively measured respondents' understanding of BDA quality in healthcare organizational performance. Thus, Rasch measurement model analysis has confirmed the instrument was well constructed, valid, and reliable for actual study.
Data Analysis on Factors Influencing Oceanic Plastic Pollution
Authors: Leow Meng-Chew , Loo Chan-Jin , Ong Lee-Yeng
Published: January 2025

Oceanic pollution is a serious environmental problem that threatens the lives of marine life nowadays. One of the main reasons is that marine life accidentally eats the litter that falls into the ocean. Other pollutants included microplastics, discarded chemicals, animal carcasses, etc. According to statistics, millions of animals die annually from accidentally eating plastic. This catastrophe is caused by the higher use of plastics due to the convenience it brings to people. However, they are often thrown away after a single use, and the plastic waste ends up in the ocean due to improper disposal. Therefore, the main aim of this paper is to understand the incident of oceanic pollution based on some mismanaged plastic (MMP) waste variables. The data analytic method is used to understand the relationships among MMP variables. Visualizations of the analysis results, such as linear scatter plots and some analysis tables, provide valuable insights into ocean pollution based on MMP waste variables. This study helps develop informed policies for practical oceanic plastic pollution mitigation efforts. To address ocean pollution effectively, we must develop sustainable practices that enhance the health of our seas. Global organizations must also take strong measures to combat the increasing threat of plastic pollution. By implementing targeted action plans, we can protect marine ecosystems and ensure a cleaner future for our oceans.
A Review of Graduate on Time Prediction
Authors: Law Theng-Jia , Ting Choo-Yee , Hu Ng  , Goh Hui-Ngo , Albert Quek
Published: January 2025

In education, predicting students who can graduate on time is difficult. Identifying the significant variables is challenging to predict on-time graduation because human intervention in variable selection is required and time-consuming. It is essential to allow educational institutions to improve student learning experiences by focusing on the significant variables. Researchers have applied various methods, such as Artificial Intelligence, to predict graduation on time. This review has attempted to (i) summarize and compare the diverse methods used by researchers in predicting students who are likely to graduate on time, (ii) identify the gaps and central issues in the existing literature related to predicting on-time graduation, and (iii) establish future potential directions for research in predicting students who are likely to graduate on time, contributing to the ongoing discourse on enhancing educational outcomes. Drawing from an extensive literature analysis across diverse conferences and journals, a notable gap is underscored: the limited focus on predicting graduating on time among postgraduate students. The review addresses issues in learning from small amounts of data and variables, although the researchers demonstrated various techniques for predicting timely graduation, including their strengths and limitations. Future research direction is to consider additional features and improve the performance of predictive models by conducting a comparative analysis of different class treatment methods. As the educational landscape evolves, these considerations are paramount to developing more effective strategies and interventions to ensure timely graduation and foster positive educational outcomes.
The Vegetation Analysis of Natural Habitat of Wild Nutmeg (Myristica Spp) in Halmahera Forest, North Maluku
Authors: Mandea Abdul Rahmat , Parjanto  , Yuniastuti Endang , Nandariyah  , Melati Rima
Published: January 2025

The vegetation analysis of wild nutmeg (Myristica spp) in natural habitats reveals the composition and structure of vegetation populations in an ecosystem unity. This study can be used to consider the conservation and management of germplasm of wild nutmeg in the forests of Halmahera Island, North Maluku. The research objective was to determine the vegetation composition and structure of the wild nutmeg habitats. We used the point method with a plotless sampling technique to record the species at specific points along a transect. The results revealed that naturally Myristica spp could grow and develop under large basal areas from the vegetation types, e.g. Ficus benyamina, Vatica Papuana, Paraserianthes falcataria, Vitex cofassus, and Mimusops elengi. Pometia pinnata and Duabanga moluccana can affect environmental factors in the natural habitat of wild nutmeg. Myristica spp, Euterpe edulis, and Macaranga sp are vegetation types in natural habitats of wild nutmeg with high dominance and important value index (IVI). Euterpe edulis can be used as an indicator of the uniqueness of the natural habitat of wild nutmeg. At the same time, Macaranga sp indicates that there has been a change in the ecosystem of the natural habitat of wild nutmeg. The natural habitat of wild nutmeg is classified as having a stable ecosystem with minimum disturbance, moderately abundant, and high vegetation species richness.
Solar Photovoltaics Efficiencies on Net Zero Energy House at Greater Jakarta
Authors: Chandra Budijanto , Purwanto L.M.F. , Muljadinata Albertus S.
Published: January 2025

The previous few decades have seen increasing aggravation of the contemporary environmental problem, climate change. Climate change caused by the accumulated emission of fossil fuels that we call greenhouse gases into the atmosphere has caused an increasing significance on the earth's temperature, which will cause natural disasters and environmental damage. Net zero energy buildings, primarily net zero energy houses, are very effective at reducing the consequences of climate change because of their notable reductions in energy consumption and reliance on renewable energy sources. Nonetheless, Indonesia still needs to adopt net-zero energy homes. Research on the most efficient solar PV installation methods for achieving net zero energy homes in Indonesia, particularly Jakarta, still needs to be initiated. This research aims to find the optimal tilt angle and orientation of solar photovoltaic (PV) energy production on house roofs to achieve the goal of a net-zero energy house. Experiments on solar PV installations were conducted in Jakarta residential areas to analyze and find the ideal tilt angle and orientation of solar PV panels for the Jakarta Area. A finding of effective solar PV installation and how it applies to net zero energy targets is also a novelty of this research. This study's contribution and impact on architects in designing a net zero energy house will relate to the area and form of the house roof. Furthermore, it hopes to have implications for future research on other building typologies and alternatives to renewable energy.
Transcriptomic Analysis of Coagulation Gene Expression in COVID-19 Patients
Authors: Febrianti Ika Kurnia , Putra Andani Eka , Raveinal  , Elliyanti Aisyah
Published: January 2025

The immunopathogenesis of COVID-19 infection is reported to begin with the entry of the SARS-CoV-2 virus into the human body through droplets, entering the lungs, and binding to the ACE-2 receptor. Meanwhile, activated macrophages stimulate an immune and inflammatory response, activating the coagulation cascade. This activation in COVID-19 patients can exacerbate the condition and may result in acute respiratory distress syndrome (ARDS). The coagulation cascade is influenced by the expression of related genes, including F3, F5, F8, F12, F13A1, VWF, THBD, PROC, PROCR, PROS1, SERPINE1, A2M, and PLAUR. This cross-sectional study was conducted in 2022, with 22 mild COVID-19 cases, 35 moderate-to-severe cases, and 20 healthy control individuals from Dr. M. Djamil Padang General Hospital in West Sumatra, Indonesia. Coagulation gene expression data using the RNA-Seq method with transcriptomic analysis were collected and recorded in transcript per-million (TPM) units. The results showed a significant difference in the expression of coagulation genes in moderate-to-severe compared to mild COVID-19 patients and healthy controls. The analysis of log2 folds change has a statistically significant increase observed in the expression of coagulation genes and a significant difference in the expression of coagulation genes among moderate-to-severe and mild patients, as well as healthy controls. The results underscored the impact of COVID-19 infection on the activity of coagulation cascade genes, which could influence the condition of patients and serve as a reference for therapy.
Anchored Self-Supervised Dynamic Graph Representation Learning for Aviation Data as A Fast Economic Indicator
Authors: Sunarmodo Wismu , Trisedya Bayu Distiawan
Published: January 2025

The Fast Economic Growth Indicator, a newly developed metric leveraging big data, provides policymakers with timely insights crucial for assessing the economic impact of policies or events. Among various open-source datasets, aviation data stands out as a potential indicator of rapid economic growth, given its inherent graph structure with airports as nodes and flight connections as edges. However, global flight data, being dynamic and complex, poses challenges in analysis. To glean comprehensive insights, it's imperative to condense this graph data into representative vector values while preserving node relationships. In this study, we utilize the dynamic graph node embedding method to quantify the influence levels of airports relative to each other. Traditional node embedding methods often prioritize homophily over structural equivalence, challenging directly extracting influence levels. To address this limitation, we introduce anchored dynamic graph node embedding, employing a virtual node as a reference point in embedding space to enable direct calculation of influence levels. These influence metrics are then compared to the GDP of airport regions. Using USA domestic flight data from 1988 to 2021 as a case study, our methodology demonstrates promising results, boasting a 0.94 correlation coefficient with national GDP and a 0.9 correlation coefficient with state Gross State Product (GSP). This research aims to advance dynamic graph node embedding methods towards structural equivalence rather than homophily, enhancing applicability to tasks emphasizing node structure over neighborhood proximity. An example of the benefits of this research is its utility in addressing Influence Maximization Problems within dynamic graphs.
A Comparative Study on the Life Satisfaction and Retirement Plan of Middle-Aged Workers Using SPSS Data Process Technology
Authors: Seo Kyeongsook , Kim Donghyun
Published: January 2025

The study analyzed the life satisfaction and retirement preparation levels of middle-aged office workers in the smart era based on their demographic characteristics. A survey was conducted with 361 office workers in Seoul and the metropolitan area, and the collected data was analyzed through basic statistical analysis and difference analysis. The results showed that gender, age, education, and job type influenced life satisfaction. Male office workers had higher life satisfaction than female office workers, and office workers in their 50s had higher satisfaction than those in their 40s. As education level increased, life satisfaction also increased, and professionals had the highest satisfaction. On the other hand, other wage earners in small businesses had the lowest life satisfaction. In terms of retirement preparation, there were significant differences by occupation in areas such as life planning, job preparation, health preparation, financial preparation, and leisure preparation. Professionals and office workers were the most prepared for retirement, while other wage earners were relatively vulnerable. Based on these results, policy, practical, and academic implications were presented for improving the life satisfaction and retirement preparation of middle-aged office workers. In particular, customized support for vulnerable groups such as female office workers and other wage earners seems necessary. Additionally, retirement preparation support policies and corporate efforts considering job-specific characteristics are required. Future research should systematically explore various factors influencing life satisfaction and retirement preparation, and analyze the impact on life satisfaction after retirement through longitudinal studies.
Metaverse-based Field Evidence Analysis Integrated Management System
Authors: Kim Hee-Chul
Published: January 2025

This study studies metaverse-based field evidence management devices and methods. This is done by analyzing events that occur within the metaverse space. This relates to a metaverse-based field evidence management device and method that can collect and manage evidence in an integrated manner. Metaverse refers to a virtual world that transcends reality. The metaverse-based field evidence management method is a step of collecting images in the metaverse space, analyzing the types of accidents that occur at the scene of an incident, and analyzing the behavioral characteristics, subjects, and objects that correspond to the kinds of accidents. In the case of fire scenes, there are many difficulties due to police control. To prepare for such cases, check and analyze scan data. Evidence at the fire scene can be preserved and confirmed even after the scene has been cleaned up. This is to create a system where experts in each field can jointly investigate and discuss in the metaverse space. In addition, real-world users use avatars within the metaverse space as their alter egos. We can perform various activities with our avatar in the metaverse space.  Meanwhile, avatars operating in the metaverse space are controlled by users in the real world, and users can commit criminal acts within the metaverse space through avatars. In addition, it enhances field preservation and evidence analysis by creating 3D sites for incidents and accident sites, increasing the collaboration of experts and the efficiency of forensic science in the virtual space. With the acceleration of digital transformation, it can contribute to fostering a practical AI technical workforce that can be put into the field.