bluuebunny/crossref_metadata_2025 huggingface dataset:
Strategies to Increase Pipeline Status: A Case Study from Eclinical Data
Authors: Pramanik Paramahansa , Graff Joel , Decaro Mike
Published: January 2025

In this paper we perform a case study regarding Eclinical data of Intelligent Medical Objects (IMO) which currently operates with eight pipeline statuses. It has been observed that the higher the pipeline status, the fewer consumers there tend to be. In this study, we aim to identify which factors significantly influence consumer presence at these advanced pipeline stages. Logistic regression is useful for predicting binary outcomes based on one or more independent variables. It estimates the probability of a particular outcome, allowing us to understand how different factors impact the likelihood of an event occurring. This method is widely used in fields like medicine, finance, and social sciences for classification problems and determining the significance of predictors, making it valuable for identifying key factors and making informed decisions based on probabilities. We apply logistic regression, using the probability of reaching the eighth status as our primary dependent variable. Of all the independent variables considered, only a select few are significant in explaining this outcome.
Risk stratification and primary prevention of chemotherapy cardiotoxicity
Authors: Shilov S. N. , Berezikova E. N. , Bobyleva E. T. , Tretyakov S. V. , Teplyakov A. T. , Grakova E. V. , Kopeva K. V. , Filippov A. A.
Published: January 2025

Current recommendations for the primary prevention of chemotherapy cardiotoxicity are based on stratification of the risk of cardiovascular complications before anticancer treatment is initiated. The proposed cardiotoxicity risk scores take into account the presence of existing cardiovascular diseases, but do not take into account the therapy used for these diseases. Two clinical cases of patients with tumor diseases are presented. One patient had a high risk of cardiotoxicity, but even before the detection of a tumor process, he received a β-blocker, an angiotensin receptor blocker and a statin as a treatment strategy for coronary heart disease, which are recommended for the primary prevention of cardiovascular complications of chemotherapy. In this patient, development of cardiac dysfunction during ongoing antitumor treatment was not detected. In contrast, the second patient had a low risk of cardiotoxicity and was not given cardioprotective primary prophylaxis while on chemotherapy. However, this patient developed signs of severe cardiac dysfunction. It is possible that treatment of existing cardiovascular pathology with angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, β-blockers and statins significantly reduce the risk of cardiotoxicity, which must be taken into account stratifying the risk of cardiotoxicity. Accordingly, it seems necessary to further improve the scales for assessing the risk of cardiotoxicity.
Epidemiological features of the spread of new coronavirus infection (COVID-19) in the Tomsk region in the first year of the pandemic
Authors: Perfileva D. Yu. , Boykov V. A. , Deev I. A. , Shibalkov I. P. , Milkevich M. N. , Baranovskaya S. V. , Sirotina A. S. , Babeshina M. A. , Emelyanova N. А.
Published: January 2025

Introduction. At the end of December 2019 the World Health Organization (WHO) announced cases of pneumonia of unknown etiology. Soon, the disease received the official name “New coronavirus infection” (COVID-19), and the etiological agent was named the SARS-CoV-2 virus, characterized by rapid spread, high variability and diverse epidemic manifestations in various territories.

Aim: To identify the epidemiological features of the spread of COVID-19 in the Tomsk region in the first year of the pandemic.

Material and Methods. A descriptive epidemiological study was conducted in the Tomsk region in 2020. Information on COVID-19 cases was analyzed according to the federal register of persons with COVID-19, federal statistical observation form N 12 “Information on the number of diseases registered in patients living in the service area of a medical organization”. The assessment of the obtained data was carried out using the method of retrospective epidemiological analysis with subsequent statistical processing.

Results. In connection with the threat of importation and spread of COVID-19 on the territory of Tomsk region, the order of the Administration of Tomsk region on January 31, 2020 approved the Plan of organizational sanitary and anti-epidemic (preventive) measures to prevent the importation and spread of a new coronavirus infection caused by 2019-nCoV. The first year of the COVID-19 pandemic was characterized by a wave-like course and significant fluctuations in morbidity during its different periods. Clinical manifestations of COVID-19 were registered in 91.2% of the diseased. The composition of patients was characterized by the prevalence of women (56.8%) compared to men (43.2%). The population mortality rate due to COVID-19 was 0.9%. In general, 74.3% of patients with COVID-19 received medical care in outpatient conditions. The capacity of the bed fund by the end of the first year of the pandemic in Tomsk region reached 2810 beds. The maximum coverage of population testing for SARS-CoV-2 identification was observed in the 46–47 calendar week, which corresponded to the maximum rise in COVID-19 morbidity among the total population.

Conclusion. In the first year of the COVID-19 pandemic in Tomsk region, the following epidemiologic features can be distinguished: absence of seasonality; prevalence of patients with clinical manifestations of COVID-19 in the structure of the diseased; prevalence of patients requiring medical care in outpatient settings; involvement of patients aged 50–64 years in the epidemic process to a greater extent; prevalence of men aged 65 years and older among those who died due to COVID-19.
Pediatric heart physiology and pathogenetic mechanisms affecting the process of growth and development of the cardiovascular system premature infants: a modern view at the problem
Authors: Pavlyukova E. N. , Kolosova M. V. , Neklyudova G. V. , Alekseeva E. O. , Karpov R. S.
Published: January 2025

Aim: To study the state of cardiac tissue homeostasis in the process of ontogenesis in prematurity in the light of modern fundamental knowledge on the biology of cardiac stem cells, the structure of cardiomyocytes, paracrine regulation mechanisms and other pathogenetic mechanisms affecting the growth, development and remodeling of the cardiovascular system in childhood and in follow-up.

Literature search strategy. A search for studies and analytical literature reviews was conducted in databases Cochrane library, MEDLINE, Google Academy, PubMed and other databases mainly from the beginning of 2018 to December 2023. Publications/ studies reflecting various aspects of the physiology of the infant heart in premature infants (clinical and experimental aspects) were independently selected for inclusion. Preference was given to randomized controlled trials.

Results. Based on modern concepts of pre- and post-implantation (postnatal) development and growth of the infant heart, the analysis of the processes of postnatal growth and development of the heart of children born healthy full-term and premature with spontaneous natural conception is given. The analysis of the main pathogenetic mechanisms influencing the processes of growth and development of the child’s heart in the intrauterine and postnatal period is carried out.

Conclusion. Experimental and clinical data reasonably require a conscious revision of the fundamental theoretical postulates about the regenerative capabilities of the myocardium in various periods of childhood, including the clinical group of premature babies, and practical guidelines for pregnancy management with the threat of abortion and infertility (preimplantation measures using assisted reproductive technologies), combined/intensive (including, respiratory) therapy in the neonatal period, longterm outpatient follow-up of children and adults born prematurely with low, very low and extremely low body weight in order to prevent, screen and treat potential effects on the health of the cardiovascular system throughout life. The information provided is very useful for a wide range of readers – biologists, embryologists, reproductive doctors, obstetricians, gynecologists, neonatologists, pediatricians, internists, cardiologists, surgeons.
Comparison of the efficacy and safety of prolonged and reduced antiplatelet therapy after endovascular closure of patent foramen ovale: a clinical trial
Authors: Tereshchenko A. S. , Merkulov E. V.
Published: January 2025

Introduction. In order to prevent thrombotic complications after endovascular closure of patent foramen ovale (PFO), dual antiplatelet therapy (DAPT) is prescribed with a switch to acetylsalicylic acid monotherapy. These drugs increase the risk of bleeding, while early withdrawal of therapy can lead to recurrent ischemic stroke (IS) and transient ischemic attack (TIA). The effective and safe duration of DAPT has not been accurately established due to the small evidence base.

Aim. To compare the efficacy and safety of long-term and shortened antiplatelet therapy (AAT) in patients undergoing endovascular closure of PFO.

Material and Methods. 239 patients who underwent endovascular closure of PFO were included in the study. Clinical and anamnestic characteristics of the sample: 140 (58.58%) women, mean age 43.00 [35.00; 52.00] years, 173 (72.38%) patients had an IS and 66 (27.62%) TIA. Patients were taking APT according to two regimens. Prolonged in duration included DAPT (clopidogrel + acetylsalicylic acid) for 6 months with a switch to acetylsalicylic acid monotherapy for up to 5 years. Shortened duration included DAPT and acetylsalicylic acid monotherapy for up to 6 months. Patients were followed up for 38.23 [22.20; 48.67] months and were divided into 2 groups. The first group included 145 (60.70%) patients with prolonged duration of DAPT and the second group included 94 (39.30%) patients who were receiving DAPT according to the shortened duration regimen.

Results. There were no differences between the groups of patients with prolonged and shortened duration of DAPT in terms of clinical and anamnestic and intraoperative characteristics, complication rate, early postoperative period and long-term follow-up. The pvalue ˃ 0.05 for all comparison parameters. The duration of follow-up for the group with prolonged DAPT duration was 38.65 [23.14; 48.43] months, 110 (75.86%) patients received clopidogrel for 6 months, acetylsalicylic acid for 60 months. During follow-up, there were 6 (4.35%) bleeding events, including 1 (0.72%) major bleeding event, 1 (0.72%) IS, and 1 (0.72%) TIA. The duration of follow-up for the group with shortened DAPT duration was 35.70 [21.43; 51.67] months (p = 0.4088). A total of 74 (78.72%) patients were received clopidogrel for 6 months (p = 0.8970), and 68 (72.34%) discontinued acetylsalicylic acid therapy 6 months after endovascular closure of the PFO. There was 1 (1.18%) minor bleeding and 1 (1.18%) IS during follow-up (p ˃ 0.05).

Conclusion. Prolonged duration and shortened to 6 months APT have comparable efficacy in preventing thrombotic complications after endovascular closure of the PFO. Administration of APT may risk of bleeding, the likelihood of which increases with the duration of treatment. The decision on the duration of APT should be made individually based on the risk of thrombosis and bleeding.
A common European Student eCard
Authors: Molnar Tamas
Published: January 2025

The Berlin Campuscard Alliance was involved in the EDSSI L2 project, where a technology demonstrator for an NFC-based student eCard was presented. As many HEIs in Europe start to think about transitioning to an ecard system, but facing high hurdles in the technology required, we decided to channel our very innovative Berlin Campuscard App development into a new project with the goal of offering European HEIs a solution for this problem. Our app contains several firsts and is one of the only apps currently in Europe, which can completely emulate the NFC technology used in smartcards by HEIs. This was accomplished by creating a ground-breaking solution, which to our knowledge has not been tried anywhere else, the cloud-based secure element.

This enables a host-card emulation with integrated security, without using the local secure-element of the device, which, because of the lack of standardization, would make testing of the app very problematic. Our solution solves this by moving this component to the server side, thereby standardizing it and making testing of the devices more manageable.

This technology in conjunction with the results of the EDSSI L2 project is the basis for the creation of a common solution for a European student eCard, which will offer students the seamless user experience when travelling from one HEI to another.
New roles – new structures? How collaboration and multi sourcing affects central IT
Authors: Dittrich Denise , Eifert Thomas , Moritz Melanie
Published: January 2025

The way to provide IT services in Higher Education Institutions (HEIs) is undergoing transformation. In addition to locally provided services, we now see emerging new structures involving collaborative services, community cloud and commercial cloud offerings. This development cannot leave local IT unaffected. To the contrary, local IT has to develop to keep its role as a valuable provider to the local users in research, teaching, and administration. In our work, we developed structures to enable local IT to cope with these changes in demands and boundary conditions.
Implementing interoperability - Metadata Schema and Crosswalk Registry approach to FAIR metadata mappings
Authors: Kesäniemi Joonas , Suominen Tommi , Broeder Daan , Puuska Hanna-Mari
Published: January 2025

Technical interoperability between information systems is usually thought to be solved in a dedicated manner by linking two or more technical systems together. However, in the context of research data and services management, the interoperability challenge can and should be more broadly scoped as that of interoperability between different descriptive systems. This leads to a need for flexible mapping between sets of descriptors and their values such as we see with the practice of metadata cross- walking.

In this paper, we are presenting a Metadata Schema and Crosswalk Registry (MSCR) implementation that can play an important part in implementing interoperability. The development of the MSCR is taking place in the context of the European Open Science Cloud (EOSC) and it aims to provide concrete solutions to information heterogeneity on semantic, structural, and syntactic levels. MSCR can be used to create a FAIR registry of schemas and crosswalks, which together provide the basis for validating and converting metadata documents in different formats.

Although the MSCR is being developed within the research data domain, applying its features to other domains, such as the exchange of educational information is straightforward. Higher education institutions (HEIs) could use the MSCR to not only better communicate the already existing work towards interoperability such as mapping documentation between standards for exchanging learning and research-related information, but also to enhance the concrete data integration infrastructure through the use of MSCR-managed schemas and crosswalks.
wwWallet.org: a Cloud Based Non-custodial Digital Identity Wallet.
Authors: Stamatopoulou Panagiota , Koukoularis Emmanouil , Katimertzis Charalampos-Michail , Katrakazas Grigorios , Voutsinas Nikos , Lagos Angelos Ioannis
Published: January 2025

wwWallet introduces an innovative approach to Verifiable Credentials management, combining the convenience of cloud-based wallets with the enhanced privacy features of edge wallets typically deployed as native mobile applications. It is an open-source, web-based platform that surpasses the limitations of mobile devices while employing a non-custodial approach for users' cryptographic key control. The decentralized Root of Trust is a pivotal feature of wwWallet's design, bolstering both the security and privacy of user data. Aligned with the current version of the European Digital Identity Architecture and Reference Framework, wwWallet adheres to evolving specifications, ensuring its sustained relevance, compliance, and interoperability in the digital identity landscape.
Research Management: Evolving Reporting and Scoring Capabilities in Research Tracking Systems for Higher Education Institutions
Authors: Bouras Abdelaziz , Naseem Hira , Agouni Abdelali , Gharzeddine Maysoon , Al-Meer Saeed , Al-Maadeed Mariam
Published: January 2025

This paper presents advancements in Research Tracking Systems (RTS) of Higher Education Institutions, aimed at enhancing the efficiency and reliability of research management within higher education institutions. Building upon prior work, our focus lies on empowering the Post-Award teams with refined features tailored to streamline their processes. Leveraging a user-friendly interface design and integration of the CrossRef Application Protocol Interface (API), proposals’ external reviewers benefit from enhanced usability and reliability in their evaluations. Furthermore, Lead Project Investigators (LPIs) and Administrators now have access to financial APIs, facilitating informed decision-making regarding project budgets. Additionally, the incorporation of automated reminders for LPIs serves to improve deadline adherence and overall efficiency. These enhancements alleviate burdens on stakeholders and significantly improve the effectiveness and reliability of research management within our institution. Through ongoing refinement and evolution of the RTS, we are committed to meeting the evolving demands of research management and supporting the diverse needs of our research community.
Nenis en México: Análisis multidimensional del empoderamiento femenino en X
Authors: Alvarado Lagunas Elías , Ocañas-Gallardo Eunice Sarai
Published: January 2025

Este artículo analiza cómo el fenómeno de las nenis refleja la percepción social sobre el empoderamiento femenino en México. Las nenis son emprendedoras que comercializan productos a través de redes sociales, enfrentando desafíos significativos como el acceso limitado a financiamiento y la falta de seguridad en las transacciones; sin embargo, demuestran una notable capacidad de adaptación e innovación. El análisis se basa en un índice de percepción geoespacial, creado mediante técnicas de Big Data y minería de texto. Este índice se aplicó a 40,412 publicaciones de la plataforma digital X, difundidas entre junio de 2021 y agosto de 2022, para identificar patrones y tendencias relacionadas con el tema. Las ciudades de México, Monterrey y Guadalajara concentran la mayoría de las publicaciones. Los hallazgos subrayan la importancia de desarrollar políticas que aborden las barreras regionales y promuevan el crecimiento sostenible del emprendimiento femenino.
BRIDGING CULTURES AND CREATIVE PRACTICES: THE SIGNIFICANT CONTRIBUTION OF ARTIST-IN-RESIDENCE PROGRAMS IN THE INDIAN CONTEXT
Authors: Verma Pratibha , Kanu Priya
Published: January 2025

Artist-in-residence exchange programs are essential for linking local art practices with the global community. They serve as a bridge between various cultures, disciplines, and geographies. These programs provide artists with dedicated time, space, and resources to immerse themselves in new cultural environments, promoting creative growth and professional development. Artist residencies allow participants to experiment with new techniques, materials, and ideas through cultural exchanges and interdisciplinary collaborations. Additionally, they help forge meaningful connections with other creatives and local communities. These programs foster cultural diversity, promote mutual understanding, and allow artists to explore and connect with global art trends. Organizations such as Khoj International Artists Association, Sanskriti Foundation, Pro Helvetia, Craft Village, Garhi Artists' Studios, and Kriti Gallery exemplify the transformative power of these residencies, offering platforms for experimentation, exploration, and community engagement. This paper examines the emergence and contribution of artist-in-residence programs in the Indian context while exploring the multifaceted benefits these programs offer to individual practitioners and their host communities. It discusses how these programs cultivate cultural immersion, skill acquisition, and career growth for artists while contributing to the evolution of contemporary art on a global scale. The paper further highlights how these residencies nurture an environment for artistic exchange, collaboration, and innovation, underscoring their significance in fostering a vibrant and interconnected global art ecosystem.
SHAPING NEW BOUNDARIES AN ANALYTICAL SYMPHONY ON TECHNOLOGICAL ADVANCEMENTS IN CORPORATE, NON-PROFIT SECTORS AND SOCIAL ENTREPRENEURSHIP
Authors: Hegde S Vidyadhara , S Ganesha , Shetty K Udaya , P Sudarshan , Thoti Kiran Kumar
Published: January 2025

Investigation to provide a comprehensive and illuminating picture of the dynamic scene formed by technology progress at the crossroads of social entrepreneurship and business. To get relevant results from the vast Scopus database, the study painstakingly uses a sophisticated search approach, inserting terms like "technology," "innovations," and "business" into the intricate web of ever-growing body of literature. A modern and representative dataset, suitable for in-depth study, is assured by this careful curation process. This study aims to do more than just identify trends; it will also investigate different document types, identify notable authors, identify influential source titles, identify primary themes within the ever-changing field of social entrepreneurship, and more. The analysis quantitatively examines publication trends, citation counts, and complex keyword co-occurrence patterns using a rigorous and thorough methodology. The study uses cutting-edge visualization methods to create a detailed map of the research environment, showing how different areas of study are connected and grouped together based on themes. From the revolutionary effect of AI on company models to the favourable relationship between technical innovation and the creation of jobs in small enterprises, the synthesis findings culled from influential studies cover a wide range of subjects. The study also elucidates the significance of innovation in reaching sustainability targets, the continuous digitization of company models, and the revolutionary impact of FinTech on the conventional financial services industry. Ultimately, this extensive bibliometric study makes a strong case for a more organized, sophisticated, and illuminating comprehension of technical advancements in the complex domains of social and corporate entrepreneurship. By providing an up-to-date and thorough overview of the changing scene and by naming and recognizing important players, it enhances the conversation around this dynamic juncture. Because of its comprehensive nature, the research is an excellent tool for academics, professionals, and politicians who are interested in learning about and making a difference at the revolutionary crossroads of social entrepreneurship, technology, and commerce.
Analysis of Sulawesi Earthquake Data from 2019 to 2023 using DBSCAN Clustering
Authors: Wijaya Ody Octora , Rushendra
Published: January 2025

Sulawesi is a region in Indonesia known for its significant seismic activity, and its history of impactful earthquakes makes it an area of crucial importance for in-depth analysis. This study analyses earthquake occurrence data in the Sulawesi region from 2019 to 2023 using clustering methods with the DBSCAN algorithm. The utilization of the DBSCAN algorithm was chosen for its ability to cluster data based on spatial density, well-suited for analyzing the spatial patterns of earthquakes. DBSCAN is known for its effectiveness in identifying spatial clusters, especially in handling data with undefined density patterns. The primary aim of this research is to identify spatial earthquake occurrence patterns, classify regions with similar earthquake occurrence rates, describe the characteristics of the resulting spatial clusters, and identify seismic gap areas. The results of analysis and clustering using the DBSCAN algorithm have identified clusters with earthquake depth characteristics, which are expected to make a significant contribution to mapping and understanding earthquake vulnerability and distribution in this region. These findings can aid in more effective disaster mitigation planning, support sustainable development efforts, and enhance earthquake preparedness and response in Sulawesi. This study contributes to a better understanding of earthquake patterns and potential seismic gaps in Sulawesi, which is crucial for developing improved risk mitigation strategies and supporting sustainable development policies.
Comparing Correlation-Based Feature Selection and Symmetrical Uncertainty for Student Dropout Prediction
Authors: Haryono Setiadi  , Larasati Indah Paksi , Esti Suryani  , Wardani Dewi Wisnu , Wardani Hasan Dwi Cahyono , Ardhi Wijayanto
Published: January 2025

Predicting student dropout is essential for universities dealing with high attrition rates. This study compares two feature selection (FS) methods—correlation-based feature selection (CFS) and symmetrical uncertainty (SU)—in educational data mining for dropout prediction. We evaluate these methods using three classification algorithms: decision tree (DT), support vector machine (SVM), and naive Bayes (NB). Results show that SU outperforms CFS overall, with SVM achieving the highest accuracy (98.16%) when combined with SU Moreover, this study identifies total credits in the fourth semester, cumulative GPA, gender, and student domicile as key predictors of student dropout. This study shows how using feature selection methods can improve the accuracy of predicting student dropout, helping educational institutions retain students better.
Advanced Earthquake Magnitude Prediction Using Regression and Convolutional Recurrent Neural Networks
Authors: Id Hadiana Asep , Muhammad Sukma Rifaz , Krishna Putra Eddie
Published: January 2025

Earthquake magnitude prediction is critical in seismology, with significant implications for disaster risk management and mitigation. This study presents a novel earthquake magnitude prediction model by integrating regression analysis with Convolutional Recurrent Neural Networks (CRNNs). It utilises Convolutional Neural Networks (CNNs) for spatial feature extraction from 2-dimensional seismic signal images and Long Short-Term Memory (LSTM) networks to capture temporal dependencies. The innovative model architecture incorporates residual connections and specialised regression techniques for sequential data. Validated against a comprehensive seismic dataset, the model achieves a Mean Squared Error (MSE) of 0.1909 and a Root Mean Squared Error (RMSE) of 0.4369, with a coefficient of determination of 0.79772. These metrics, alongside a correlation coefficient of 0.8980, demonstrate the model's accuracy and consistency in predicting earthquake magnitudes, establishing its potential for enhancing seismic risk assessment and informing early warning systems.
The Effect of Resampling Techniques on Model Performance Classification of Maternal Health Risks
Authors: Nia Mauliza  , Aisha Shakila Iedwan  , Yoga Pristyanto  , Anggit Dwi Hartanto  , Arif Nur Rohman
Published: January 2025

Indonesia's maternal mortality rate was the second highest in ASEAN, reflecting the problem of class imbalance in maternal health data. This research aimed to improve prediction accuracy in the classification of pregnant women's diseases through the application of various resampling methods. The methods used in this research included Synthetic Minority Over-sampling Technique (SMOTE), SMOTE-Edited Nearest Neighbor (SMOTE-ENN), Adaptive Synthetic Sampling (ADASYN), and ADASYN-ENN, using five classification algorithms: Decision Tree, K-Nearest Neighbor (KNN), Naïve Bayes, Random Forest, and Support Vector Machine (SVM). Performance evaluation was carried out using accuracy, precision, recall, and F1-score metrics to determine the best method and algorithm. The results showed that the SMOTE-ENN and ADASYN-ENN methods significantly improved the model's performance in predicting maternal disease. Random Forest and Decision Tree algorithms showed the best results in terms of accuracy and consistency. These findings provided practical guidance for the application of resampling techniques in the classification of pregnant women's health data, which could contribute to improving the quality of maternal health services in Indonesia.
Machine Learning Methods for Forecasting Intermittent Tin Ore Production
Authors: Rahmah Nabila Dhia Alifa , Handoko Budhi , Pravitasari Anindya Apriliyanti
Published: January 2025

Effective production forecasting is important for resource planning and management in the mining industry. Tin ore production from Cutter Section Dredges (CSD) may fluctuate due to a variety of factors, in which there are periods when the production is zero. This study compares various combinations of machine learning-based classification and forecasting to predict future tin ore production values, which have not been found in previous studies. The presence of zero values in the forecast in the next day's tin ore production forecast is addressed by combining classification and forecasting techniques. Random Forest and CatBoost classification techniques are used to determine the next day's CSD production operating status. Then, for each time point when the CSD is operational, a forecasting model is created using CatBoost and Bi-LSTM. This study's findings show that a serial combination of the Random Forest classification method and CatBoost forecasting can produce accurate tin ore production forecasts for the selected CSD (RMSE = 0.271, MAE = 0.179, MAE = 0.730, F1-score = 0,80). This study demonstrates how a serial combination of classification and forecasting models can improve the accuracy and efficiency of production forecasting for intermittent time series data.
Designing a Knowledge-Based Chatbot to Elevate Business Licensing Services in Indonesia
Authors: Husain Husain , Ridwan Afandi  , Dana Indra Sensuse  , Sofian Lusa  , Nadya Safitri  , Damayanti Elisabeth
Published: January 2025

The business licensing process in Indonesia often faces several challenges, including lack of information, unstable system, complicated procedure, and slow response to complain. These issues can hinder economic growth and limit access for businesses. This research aims to design a knowledge-based chatbot to elevate business licensing services in Indonesia. The proposed chatbot will utilize natural language processing (NLP) technology and a structured knowledge base to provide accurate information, assist in form filling, and offer step-by-step guidance to users. This research employes a User-Centered Design (UCD) approach to ensure that the developed chatbot meets the needs and preferences of its users. The research stages involve user requirements analysis, UML design, system design, and iterations based on feedback obtained. Data will be collected through questionnaires, interviews, and literature studies. Leveraging the proposed architecture, we demonstrate how the resulting knowledge-based chatbot is expected to enhance business licensing services. The findings identified 8 key features expected in the chatbot, including real-time information access, problem reporting, business licensing guidance, a tracking system, personalized simulation, a feedback mechanism, multilingual support, and the ability to connect with a contact center agent. By implementing these features, the proposed chatbot is anticipated to significantly reduce processing times, streamline user interactions, and enhance user satisfaction by providing real-time assistance and reducing errors in form submissions. This will contribute to a more efficient licensing process, fostering economic growth and improving the business environment in Indonesia.
Knowledge Management Foundation and Solutions Implementation in Indonesian Government Higher Educational Institution
Authors: Sihombing Boy Sandi Kristian , Fatoumatta Binta Jallow  , Ghina Fitriya  , Dana Indra Sensuse  , Sofian Lusa  , Damayanti Elisabeth  , Nadya Safitri
Published: January 2025

The performance of XYZ, a Government Higher Educational Institution (GHEI) in Indonesia is assessed through two unintegrated applications. The 2023 target performance was missed due to miscalculations outside applications while transforming large data amounts. Thus, business intelligence (BI) serves as a knowledge management (KM) tool to integrate those applications to achieve XYZ's target. Because BI is costly and has a 70% failure rate of development plans, a research model was evaluated to look at the current XYZ innovation capability for successful BI adoption from the KM foundation and KM solution implementation. This study used a quantitative method, employing a questionnaire for 94 civil servants and the partial least squares-structural equation model (PLS-SEM) for data analysis. Results indicate in the KM foundation, organizational (O) negatively influences KM process application (KMP) (β = -0.292, Pv = 0.010) while KM infrastructure (I) and process (P) positively influence KMP, but KM technology (T) does not. In KM solutions, KMP is proven to be linked to innovation capability when KM systems are lacking. Hence, several activities are suggested to activate T through T, O, P, and I. The model validated 80% of the hypotheses, laying the groundwork for future studies into which aspects of T strengthen innovation capabilities in GHEI.
The Memory Efficiency in a Receptionist Robot's Face Recognition System Using LBPH Algorithm
Authors: Yudi Endang Darmawan , Yesi Novaria Kunang  , Zarkasi Ahmad
Published: January 2025

This research aims to develop a memory-efficient face recognition system for a receptionist robot using the Local Binary Patterns Histogram (LBPH) algorithm. Given the computational limitations of the Raspberry Pi, the system utilizes optimization techniques including grayscale conversion, noise reduction, and contrast adjustment to enhance processing efficiency. Testing demonstrates that the face recognition accuracy achieves 80.5% to 85.5% in offline mode, and 72% to 81% in real-time mode, with variations due to lighting conditions and facial expressions. The robot's servo motors exhibit a response time between 1.945 and 3.561 seconds, enabling responsive and interactive user engagement. The results suggest practical benefits for deploying face recognition in resource-constrained environments, enhancing the efficiency of robotic receptionist applications.
Lightweight Models for Real-Time Steganalysis: A Comparison of MobileNet, ShuffleNet, and EfficientNet
Authors: Bauravindah Achmad , Fudholi Dhomas Hatta
Published: January 2025

In the digital age, the security of communication technologies is paramount, with cybercrime projected to reach $10.5 trillion annually by 2025. While encryption is vital, decrypted data remains vulnerable, prompting the exploration of steganography as an additional security layer. Steganography conceals data within digital media, but its misuse for cyberattacks—such as embedding malware—has highlighted the need for steganalysis, the detection of hidden data. Despite extensive research, few studies have explored lightweight deep learning models for real-time steganalysis in resource-constrained environments like mobile devices. This research evaluates MobileNet, ShuffleNet, and EfficientNet for such tasks, using the BOSSbase-1.01 dataset. Models were assessed based on accuracy, computational efficiency, and resource usage. MobileNet achieved the highest computational speed but with only 63.8% accuracy, falling short of practical application. ShuffleNet and EfficientNet performed at random-guessing levels with 50% accuracy, reflecting the challenges of steganalysis on mobile platforms. Future work aims to improve accuracy by integrating advanced preprocessing techniques, attention mechanisms, and hybrid architectures, as well as leveraging ensemble methods for improved detection. Data augmentation, transfer learning, and hyperparameter tuning will also be explored to optimize model performance. This study contributes by identifying these challenges and offering insights for future research, focusing on optimizing models and preprocessing techniques to enhance detection accuracy in resource-constrained environments.
Application “halal path” with learning features, assistance for MSMEs in halal certification process with the use of IoT systems
Authors: Adlyn Nathania , Waworuntu Charlotte Corinthians , Suryawati Rindah Febriana
Published: January 2025

Muslim population in Indonesia is approximately 229.62 million, accounting for 87.2% of the country’s total population. With this large Muslim demographic, there is a growing need for Halal-certified food sources that are safe for consumption. However, many MSMEs (Micro, Small, and Medium Enterprises) in the country face significant challenges in obtaining Halal certification due to various factors. These include geographical barriers, expensive certification processes, limited understanding of online services, and public perceptions that Halal certification is unnecessary for MSMEs. To address the challenges, changes have been made to Indonesian Halal Certification System, particularly the introduction of regular and self declare programs. Therefore, this study aims to develop Halal Path application to support the self declare program for eligible MSMEs and enhance the economy, reputation, and cultural globalization of Indonesia. This initiative seeks to create safe and comfortable conditions for Muslims and improve food safety and quality. The study procedures were carried out using an academic literature review focusing on legal frameworks and Halal certification processes, which integrate Internet of Things (IoT) to streamline Halal supply chain management in industrial and agricultural contexts. The proposed Halal Path comprised 6 stages, namely educational videos on Halal system in Indonesia, video tutorials for obtaining business identification numbers (NIB), instructions for applying for Halal certification under both regular and self declare programs, Halal Assurance System (HAS) training, internal audits, and monitoring. In addition, the application “Halal Path” included a supplier information feature using IoT to help MSMEs obtain safe and Halal raw materials effectively.
O NOVO CONTEXTO ESCOLAR E A GERAÇÃO DE SCREENAGERS Maridenes Noronha de Oliveira
Authors: Oliveira Maridenes Noronha de
Published: January 2025

O contexto escolar tem sido palco de muitas concepções em torno da restruturação do papel exercido por professores e escolas, mediante o surgimento de uma nova geração de alunos, denominados por screenagers. Muitos são os desafios enfrentados para revitalizar o processo de ensino-aprendizagem e romper com um modelo tradicional de aula. Para esse propósito, é necessário um novo enfoque no processo educativo, com aplicação de metodologias de ensino inovadoras que contemplem o desenvolvimento emocional, cognitivo e social dos alunos. O presente trabalho propõe, mediante uma pesquisa bibliográfica, apresentar sobre o novo contexto escolar e a geração de screenagers. O objetivo geral da pesquisa é compreender a geração dos screenagers, mencionando os desafios, possibilidades e impactos que inquietam a tríade alunos-professores-escolas. Realizou-se um estudo através da análise de livros, artigos e sites da internet relacionados ao tema por meio de uma abordagem qualitativa, estruturada em três temas. Como resultado, verificou-se que uma mudança no processo educativo para obter êxito depende da restruturação do papel dos professores e das escolas, a fim de que, em conjunto possam oferecer uma aprendizagem mais personalizada e significativa para os alunos.
TECNOLOGIAS INTEGRADAS A SALA DE AULA: Do sonho para a realidade do uso das tecnologias nas escolas públicas do município de São Luís-MA
Authors: Brito Neto Teófilo Alexandrino de
Published: January 2025

O Presente estudo teve como objetivo descrever a realidade das escolas públicas do município de São Luís, capital do estado do Maranhão, em relação ao uso das tecnologias integradas nas salas de aula e trazendo o retrato da realidade diante ao que se espera de uma educação voltada para a preparação do cidadão que vive em uma sociedade da informação. os temas abordados relataram a importância das tecnologias digitais nas escolas, os desafios docentes diante as tecnologias na sala de aula a necessidade da capacitação docente e as mudanças que ocorrem nas escolas diante a inclusão do uso tecnológico no processo de ensino aprendizagem e como deveria ser nas escolas públicas deste município. para a fundamentação foram citados os autores Passos (2014), Freire (1996), Nascimento (2016), Silva (2012), Souza e Brandão (2017), Silva e Correa (2014). a conclusão obtida foi que a realidade das escolas públicas municipais de São Luís ainda não está acompanhando as transformações educacionais com o uso das tecnologias, deste município devem buscar políticas públicas para equipar as escolas, capacitar seus docentes e trazer uma educação de qualidade voltada para a realidade diante as tecnologias em todos os lugares.
The effect of hydroxocobalamin and methylene blue for vasoplegic syndromes: A systematic review
Authors: Mananda Wahyu , Musalim Dian Anggraini Permatasari , Oktavian Puguh , Budi David Setyo , Multazam Chaq El Chaq Zamzam , Wungu Citrawati Dyah Kencono
Published: January 2025

Background: The role of methylene blue (MB) and hydroxocobalamin (B12) in treating patients with vasoplegic syndromes remains uncertain.

Objective: This systematic review aimed to assess the effects of MB and hydroxocobalamin on patients with vasoplegic syndromes following surgery.

Methods: A systematic search was conducted for articles reporting the use of MB and hydroxocobalamin in vasoplegic syndromes. The databases PubMed, ScienceDirect, Cochrane Library, Springer, Scopus, and medRxiv were systematically searched up to 9 June 2024. Clinical outcomes, hemodynamic outcomes, length of stay (LOS), mortality, and adverse events were extracted from each study.

Results: This review included five studies. The findings from these studies suggested that hydroxocobalamin, with or without MB, effectively reduced vasopressor requirements and improved MAP mainly at 1-hour post-administration. The LOS and mortality did not differ between the two groups. The most common reported side effects for MB include serotonin syndrome. Meanwhile, chromaturia affects the hydroxocobalamin group.

Conclusion: Hydroxocobalamin could lower the need for vasopressors and increase MAP better than MB only. Hydroxocobalamin can also cause temporary chromaturia, which resolves itself. Given the side effects, the choice between MB or hydroxocobalamin for treating vasoplegic syndrome should be based on the patient’s condition. Further studies are required to confirm its findings.
Drug-induced gum hypertrophy: A case report
Authors: Hassan Husna , Draman Nani , Abdul Kadir Azidah
Published: January 2025

Amlodipine is a common drug used to treat hypertension and is generally considered safe. The potential of amlodipine-induced gum hypertrophy was a rare occurrence. We described a 66-year-old woman who developed gum hypertrophy after taking amlodipine for eight months. The patient reported tenderness and difficulty maintaining her oral hygiene, and physical examination revealed an overgrowth of gum tissue around her teeth. The drug was discontinued, and the gum hypertrophy improved within two weeks along with the maintenance of oral hygiene. Therefore, we concluded she had gum or gingival hypertrophy as an adverse reaction to amlodipine.
Transforming strategy and policy to enhance eco-vihara in support of the Sustainable Development Goals (SDGs) regional action plan framework in Papua Bird's Head region
Authors: Sugiarto  , Umi Yuminarti  , Hendri  , Sri Hartini
Published: January 2025

Eco-Vihara was established by applying nine criteria aligned with the SDGs Regional Action Plan in the Papua Bird’s Head region. It is crucial to reform current policies and strategies at the basic and intermediate levels to achieve this alignment. Employing SWOT and AHP analyses, this study identified effective strategies for improving Eco-Vihara implementation at Buddha Prabha Vihara in Manokwari Regency, Buddha Sorong Vihara in Sorong City, and Buddha Sasana Vihara in Sorong Regency. The SWOT analysis revealed Internal Factor Evaluation (IFE) and External Factor Evaluation (EFE) values of 2.96 and 3.17, respectively, positioning the matrix in the aggressive quadrant-highlighting a focus on leveraging strengths and opportunities. AHP analysis further prioritized two key strengths and three opportunities, culminating in six strategic recommendations to strengthen leadership, collaboration, and funding mechanisms.
Partial discharge characteristics of thermally aged mineral oil and eco-friendly vegetable oil under uniform electric field
Authors: Girish S K  , B V Sumangala  , Pradeep N
Published: January 2025

Partial discharge (PD) detection plays an important role in the life assessment of liquid insulation in transformers. This paper investigates on the PD activity and characteristics in thermally aged mineral oil and eco-friendly rice bran and Sesame oils. To simulate surface discharges, plane-plane electrode configuration with pressboard of 1mm and 3mm thickness was used. The phase resolved PD patterns of thermally aged rice bran oil, sesame oil and mineral oil with pressboard were recorded and analyzed. From the results it is observed that the inception voltage of eco-friendly vegetable oils is higher than mineral oil. Also vegetable oil shows better PD characteristics hence they can be used for high voltage insulation applications.
Kritik Maqashid Syariah terhadap Penyelesaian Nasabah Wanprestasi pada Perbankan Syariah
Authors: Munandir Rahman , Syufaat Syufaat
Published: January 2025

Islamic banks were born for the benefit of humans, not only in this world but also for the happiness of the hereafter. Transactions at Islamic banks are oriented toward the margin, profit sharing, and rent, in contrast to conventional banks whose profit base is based on interest. However, in practice, the settlement of Sharia bank customer defaults is the same as conventional banks, in which the settlement focuses on the sale or auction of guarantees to get funds back from customers. Is this practice in accordance with the objectives of Islamic banks? For that, the author uses maqashid sharia to get the answer.