bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhanced Recovery and Detection of Highly Infectious Animal Disease Viruses by Virus Capture Using Nanotrap® Microbiome a Particles
Authors: Das Amaresh , Gutkoska Joseph , Tadassa Yadata , Jia Wei
Published: September 2024

This study reports the use of Nanotrap® Microbiome A Particles (NMAPs) to capture and concentrate viruses from diluted samples/specimens to improve their recovery and sensitivity of detection by real-time PCR/RT-PCR (qPCR/RT-qPCR). Five highly infectious animal disease viruses including goat pox virus (GTPV), sheep pox virus (SPPV), lumpy skin disease virus (LSDV), peste des petits ruminants virus (PPRV), and African swine fever virus (ASFV) were used in this study. After capture, the viruses remained viable and recoverable by virus isolation (VI) using susceptible cell lines. To assess efficacy of recovery, the viruses were serially diluted in phosphate buffered saline (PBS) or Eagle’s Minimum Essential Medium (EMEM) and then subjected to virus capture using NMAPs. The NMAPs and the captured viruses were clarified on a magnetic stand, reconstituted in PBS or EMEM, and analyzed separately by VI and virus-specific qPCR/RT-qPCR. The results of the qPCR/RT-qPCR showed up to 100-fold increase in the sensitivity of detection of the viruses following virus capture compared to the untreated viruses from the same dilutions. NMAPs were used to capture and concentrate viruses from clinical specimens to determine diagnostic sensitivity (DSe) that were comparable (100%) to the untreated specimens. NMAPs were also used to capture spiked viruses from EDTA whole blood (EWB). Virus capture from EWB was partially blocked, most likely by hemoglobin (HMB), which also binds NMAPs and outcompetes the viruses. The effect of HMB could be removed by either dilution (in PBS) or using HemogloBind™ (Biotech Support Group; Monmouth Junction, NJ) that specifically binds and precipitates HMB. Enhanced recovery and detection of viruses using NMAPs can be applicable to other highly pathogenic animal viruses of agricultural importance.
Portugal and England: A Historical Overview of Relations from Medieval Times to the Present
Authors: Montgomery Richard Murdoch
Published: September 2024

The relationship between Portugal and England spans centuries, encompassing political alliances, economic cooperation, cultural exchanges, and significant periods of tension and exploitation. This article provides a comprehensive and critical overview of the historical relations between Portugal and England from medieval times to the present, highlighting both the cooperation and the conflicts that have shaped this complex alliance. It explores key events, treaties, and figures that have influenced the trajectory of the relationship, including the heavy indebtedness Portugal accumulated with England and how this debt was transferred to Brazil in exchange for its independence—a factor that perpetuated social distortions such as slavery and inequality in Brazil. The article also discusses the contemporary context of Portugal-England relations, emphasizing the continued importance and challenges of this partnership in the modern world.
Analyzing Road Infrastructure and Safety in Urban Nepal: A Synthesis of Existing Research
Authors: Bhattarai Aryan , Shafir Shira
Published: September 2024

Road safety is a critical public health concern in Nepal, especially in urban areas where inadequate infrastructure exacerbates traffic incidents. This study reviews and synthesizes 21 peer-reviewed papers to investigate how road infrastructure contributes to traffic accidents. Key factors include poor road conditions, reckless driving, and inadequate traffic management. Findings indicate that road traffic accidents (RTAs) significantly increase morbidity, mortality, and economic burdens in Nepal. To address these issues, the study recommends infrastructure improvements, stricter enforcement of traffic laws, and enhanced public education on road safety.
Exact Unlearning with Convex and Non-Convex Functions
Authors: Lindstrom Cassandra
Published: September 2024

Machine unlearning, the process of selectively forgetting or removing the influence of specific data points from a machine learning model, is increasingly important for privacy and compliance with regulations like the GDPR. This paper explores the concept of exact unlearning, focusing on its implementation in models trained using convex and non-convex functions. Convex functions, due to their well-behaved optimization landscapes, lend themselves to efficient unlearning through methods such as inverse optimization, duality-based approaches, and incremental learning. In contrast, non-convex functions, common in deep learning models, present more complex challenges due to their multiple local minima and high-dimensional parameter spaces. Techniques like checkpoint-based retraining, gradient inversion, and meta-learning are discussed as viable, though computationally expensive, methods for non-convex exact unlearning. The paper also highlights real-world applications in fields such as finance and healthcare, where exact unlearning can enhance privacy and security without compromising model performance. Finally, it outlines key challenges and future research directions, particularly the need for more efficient unlearning algorithms in non-convex settings and the development of secure, adversarial-resistant methods for sensitive data removal.
Current Status of Health Care Bioethics Committees in Chile: Suggestions for Improvement in Public Health Management
Authors: Barra Novoa Rodrigo
Published: September 2024

This study examines the current functioning of Health Care Bioethics Committees (HBCs) in Chile, with the objective of providing recommendations for improving public health care management. Through a comprehensive literature review and a case analysis of the ‘Hospital Clínico de la Universidad de Chile’, the structure, functions and challenges of the CEA are explored. The research reveals the importance of the multidisciplinary composition of the committees, the need for continuing education in bioethics, and the relevance of the consultative role in ethical decision making. The results suggest that the effectiveness of CABs does not necessarily depend on the number of members or the length of their terms of office, but on the quality of their training and experience. It is concluded that for adequate health care management, it is essential to strengthen the role of the CEA in the ethical education of health care personnel and in the development of institutional regulations, as well as to improve their visibility and accessibility within the Chilean health care system.
Waste Bread as a Raw Material for Ethanol Production – Effect of Mash Preparation Methods on Fermentation Efficiency
Authors: Balcerek Maria , Dziekońska-Kubczak Urszula , Pielech-Przybylska Katarzyna , Oleszczak Anna , Koń Magdalena , Patelski Andrea Maria
Published: September 2024

The issue of managing waste bread is a global concern, with significant environmental and the economic implications. The utilisation of waste bread for bioethanol production, employing energy-saving tech-nology, could prevent these consequences and reduce the consumption of traditionally used fossil fuels. The objective of this study was to evaluate the influence of the type of waste bread (wheat and wheat-rye sourdough) and the mash preparation method on the results of alcoholic fermentation and the concen-tration of selected congeners in the distillates. The highest fermentation efficiency (96% of theoretical) was achieved for both types of bread through the utilisation of the pressureless starch liberation method combined with simultaneous saccharification and fermentation. The separate saccharification of starch did not result in an enhanced efficiency of the process. Despite a slight reduction in efficiency of the process, the hydrolysis of native starch was regarded as a promising solution for the processing of waste bread to ethanol. All of the obtained distillates exhibited a low concentration of methanol. The elevated acidity and aldehydes levels, in relation to the national recommendations, indicate the potential necessity for the separation of the volatile congeners depending on the intended use of the obtained spirit distillates.
Graph Neural Network and Increment Learning in Blockchain
Authors: Qi Chang
Published: September 2024

This paper investigates the integration of Graph Neural Networks (GNNs) and incremental learning for blockchain applications, with a focus on fraud detection, anomaly detection, and smart contract verification. By leveraging graph structure exploitation, GNNs can propagate information across nodes, reducing label dependency. Incremental learning enhances the model's adaptability to evolving blockchain networks, allowing continual learning without full retraining. Together, these technologies provide a scalable, efficient solution for improving security, performance, and adaptability in decentralized financial systems and smart contract environments.
Enhancing Stress Identification Using Machine Learning: Revealing Key Factors with SHAP- Driven Explainable AI
Authors: Chintalapati Akhil , Annamalai Ramanathan , Enkhbat Khashbat , Ozaydin Fatih , Sivashanmugam Karthikeyan
Published: September 2024

The accurate detection and assessment of stress play a pivotal role in enhancing individual well-being and healthcare outcomes. Traditional methods of stress detection often grapple with limitations in accuracy and scalability. With the advent of machine learning (ML), the potential to revolutionize stress detection has emerged. This paper presents a comprehensive study on the application of ML algorithms for stress detection, with a focus on physiological and behavioral data analysis. Central to our approach is the integration of SHapley Additive exPlanations (SHAP), an Explainable Artificial Intelligence (XAI) technique, to interpret ML models. SHAP provides a novel lens to understand the impact of individual features in the complex decision-making processes of ML models, thereby enhancing the transparency and reliability of stress predictions. We demonstrate how SHAP not only aids in elucidating model decisions but also contributes to refining the models for greater accuracy. Our results highlight the effectiveness of ML in detecting stress and the pivotal role of XAI in making these models more interpretable and trustworthy. This study underscores the synergy between advanced ML techniques and XAI, paving the way for more nuanced and reliable stress detection methodologies that are essential in diverse settings, from healthcare to workplace environments.
Degrade to Upgrade: Harnessing Programmed Degradation for Sustainable, Evolving Interactive Devices
Authors: Lu Qiuyu
Published: September 2024

Interactive device design traditionally prioritizes delaying or preventing degradation during the functional phase, as it is generally perceived as a disadvantage. However, the concept of intentionally designing controlled material breakdown can unlock new properties and functions that enhance both the system and its environment. This approach, termed "Degrade to Upgrade", challenges the conventional view of degradation as merely an end-of-life process. Instead, it encourages Human-Computer Interaction (HCI) researchers and designers to see it as an active phase, one that can be leveraged for innovative device design.
Obstructed Labor, Evolution, and Health Disparities
Authors: Light Liliana , Virdee Suman , Dickens Colin , Diogo Rui
Published: September 2024

The female pelvis is often evolutionarily described as a compromise to accommodate the birthing process and bipedalism. This compromise puts a mother and baby at risk for fetopelvic disproportion, the mismatch between the size of the fetus and the mother's pelvis, impacting the ease at which the vaginal birthing process occurs. Obstructed labor, commonly caused by fetopelvic disproportion, is a leading cause of maternal mortality and morbidity and has serious medical sequelae for the fetus. In this review, this evolutionary aspect of fetopelvic disproportion is being reconsidered within a broader sociocultural and environmental approach related to a change of paradigm from a more reductionist Neo-Darwinist to a more encompassing Extended Evolutionary Synthesis view. The review explores a more comprehensive understanding of several factors related to fetopelvic disproportion, including socioeconomic factors and ethnic disparities amongst individuals that might lead to a higher likelihood of obstructed labor and maternal and fetal morbidity and mortality.
Progress of IL-12 in Tumor Immunotherapy
Authors: He Qing , Dong Chunyan , Tan Dejiang , Sun Huimin , Li Zhuang , Zheng Yiyang , Zhang Linyu , Liu Sihan , Zhang Yu
Published: September 2024

Interleukin-12 (IL-12) is considered to be a promising cytokine for enhancing anti-tumor immune response. However, recombinant IL-12 had significant toxicity and limited efficacy in early clinical trials. Recently, many strategies for delivering IL-12 to tumor tissues have been developed, such as modifying IL-12, utilizing viral vectors, non-viral vectors and cellular vectors. Previous studies have found that IL-12 fusion with extracellular matrix proteins, collagen and immune factors is a way to enhance its therapeutic potential. In addition, studies have demonstrated that viral vectors are a good platform, and a variety of viruses such as oncolytic viruses, adenoviruses and poxviruses have been used to deliver IL-12, and testing has been conducted in various cancer models. Local expression of IL-12 in tumors based on viral delivery avoids systemic toxicity while inducing effective anti-tumor immunity and acting synergistically with other therapies without compromising safety. Also, lipid nanoparticles are currently considered to be the most mature drug delivery system. Moreover, cells are also considered to be drug carriers because they can effectively deliver therapeutic substances to tumors. In this article, we will systematically discuss the antitumor effects of IL-12 on its own or in combination with other therapies based on different delivery strategies.
PSMA PET-CT Imaging of Radiation-Induced Lung Injury from Vertebral Radiotherapy
Authors: Mantzur Stephanie , Alani Shlomi , Hijab Adham , Geller Hinitz Maayan , Sandler Israel
Published: September 2024

Radiation-induced lung injuries (RILI) are a notable complication of thoracic radiotherapy, significantly affecting the quality of life and prognosis for cancer patients. We present the case of a 68-year-old man with metastatic prostate cancer who underwent radiation therapy for a metastatic thoracic vertebral lesion identified with high uptake on a PET-PSMA scan. Four months later, a follow-up PET-PSMA scan indicated that the pathological uptake in the vertebra had resolved, but it also revealed a new lung consolidation with PSMA uptake. This case illustrates a potential pitfall in interpreting PSMA PET-CT findings, as the uptake in the lung lesion was due to RILI rather than malignancy, infection, or another form of pneumonia, highlighting the necessity for careful clinical correlation to avoid misdiagnosis and potentially inappropriate and unnecessary treatment.
Cyber Edge: Current State of Cyber Security in Aotearoa-New Zealand, Opportunities, and Challenges
Authors: Hasan Md. Rajib , Sarkar Nurul I. , Alani Noor H. S. , Lutui Raymond
Published: September 2024

As Aotearoa-New Zealand faces increasing cyber threats, this paper comprehensively analyses the nation’s current cybersecurity landscape, revealing novel opportunities and challenges. Through an interdisciplinary approach, the study integrates social, cultural, and technological dimensions—providing a fresh perspective that has been underexplored in previous research. A key focus is integrating cultural values, particularly those of the indigenous Māori, into cybersecurity practices. This not only strengthens the effectiveness and trustworthiness of security measures but also fosters a more inclusive and resilient digital environment, demonstrating our deep respect for the unique contributions of Māori culture. Additionally, this paper introduces critical insights into the country's cybersecurity talent gap, with a special focus on the challenges of developing and retaining cybersecurity expertise in remote regions. Our study also uncovers underexplored opportunities for cross-sector collaboration between private enterprises, government agencies, and indigenous communities, promoting an inclusive and resilient approach to cybersecurity. By positioning Aotearoa-New Zealand as a potential leader in regional cybersecurity innovation, we provide forward-looking recommendations that leverage its distinctive cultural and technological strengths. This research contributes fresh insights to the global discourse on cybersecurity, offering practical strategies tailored to the specific needs of smaller nations.
Analisis Postur Kerja Dan Re-Desain Fasilitas Kerja Pada UMKM Bata Merah Top
Authors: Dewantari Nustin Merdiana , Oktaviani Kiswa Safira , Hafsa Lita Riani , Maulana Rifan , Rahmansyah Ficky Andri , Aldriansyah Tasya Berliana
Published: September 2024

The red brick production industry in Cilegon City shows great potential in creating employment opportunities in rural areas and small towns. However, the process of producing red bricks often leads to health problems for workers, such as musculoskeletal disorders (MSDs), due to non-ergonomic work activities. UMKM Bata Merah Top is one of the red brick craftsmen. Based on NBM surveys and worker interviews, they often experience pain in the back, waist, and hands. This study aims to evaluate the working posture in the processes of molding and moving bricks using the Rapid Upper Limb Assessment (RULA) method, and redesigning the work facilities in those areas. The results of the analysis show that before the redesign of the facilities, the working posture had a high risk. However, after the redesign of the work facilities, the posture risk in the processes of molding and moving bricks became moderate.
PENUNDAAN PRESTASI DALAM PERJANJIAN KREDIT KENDARAAN BERMOTOR AKIBAT PANDEMI COVID-19 DI INDONESIA
Authors: Nugara Bintang Alit , Imanullah Moch. Najib
Published: September 2024

Artikel ini bertujuan untuk mengetahui dan menganalisis hak dan kewajiban para pihak dalam perjanjian kredit dan apakah pandemi COVID 19 dapat dijadikan alasan penundaan kewajiban dalam perjanjian kredit kendaraan bermotor. Penelitian ini merupakan penelitian hukum normatif yang bersifat preskriptif. Pendekatan yang digunakan dalam penelitian hukum ini ialah pendekatan undang-undang. Bahan hukum yang digunakan ialah bahan hukum primer dan bahan hukum sekunder. Teknik pengumpulan bahan hukum yang digunakan ialah studi kepustakaan. Teknik Analisis bahan hukum yang digunakan dalam penelitian hukum ini ialah metode deduktif silogisme. Hasil penelitian menunjukkan bahwa para pihak memiliki hak dan kewajiban yang telah ditentukan dalam isi perjanjian dimana pihak kreditur berhak menerima pembayaran dari debitur secara angsuran atas pinjaman yang diterimanya dari kreditur. Hasil penelitian juga menunjukkan bahwa pandemi COVID-19 dapat digunakan sebagai alasan dalam penundaan kewajiban debitur dalam perjanian kredit kendaraan bermotor.
POST-FILTERING OF LOSSY COMPRESSED NOISY IMAGES AND ITS EFFICIENCY PREDICTION
Authors: Rebrov Volodymyr , Vozel Benoit , Lukin Vladimir
Published: September 2024

The object of the study is the process of lossy compression of noisy images and their post-filtering. The subject of the study is the approach to efficient two-stage processing (compression and post-filtering) for better portable graphics (BPG) coder and prediction of its efficiency. The goal of the study is to analyze performance characteristics of the considered two-stage approach and to propose an approach to their prediction. Methods used: numerical simulation, regression, statistical analysis. Results obtained: 1) the considered approach advantage is that it is able to provide improvement of quality of compressed noisy image under condition that an image is compressed with compression ratio smaller than that one corresponding to optimal operation point; 2)  the approach efficiency depends on several factors including noise intensity, image complexity, and filter type and parameters; 3) the main characteristics of the two-step procedure can be quite accurately predicted in advance and this allows offering useful information for decision undertaking on what value of the coder parameter to apply; 4) this leads to either improving the compressed and processed image quality compared to its original version or, at least, to avoiding quality degradation. Conclusions: based on the results of the study, it is worth 1) predicting performance characteristics for the two-stage processing; 2) adapting the processing to image complexity and noise intensity.
THE ISSUE OF TRAINING OF THE NEURAL NETWORK FOR DRONE DETECTION
Authors: Hashimov Elshan , Khaligov Giblali
Published: September 2024

In the article, the issue of mistaking birds for UAVs, which is considered one of the main problems in the process of detecting unmanned aerial vehicles (UAVs) through cameras, was considered. The object of the study is a method of training an artificial intelligence model so that the detection system does not mistake drones for birds. In order to solve this problem, as an alternative to creating a new complex model, the retraining method was used by making some changes to the previously developed model. The aim of the study is to train an artificial intelligence model using certain methods to detect drones and prevent them from being mistaken for birds. The main result of the research is the training of the artificial intelligence model with the application of the proposed methods for training the model and increasing the accuracy indicators. Also, a dataset was created for both classes, an algorithm was written to retrain the pre-trained model, a fine-tuning process was performed on the model to improve the training and validation performance, and the results were graphically expressed.
RECURSIVE METHOD OF FORMING AN OPTIMAL SET OF TASKS ACCORDING TO THE CRITERION OF MAXIMIZING EARNINGS
Authors: Krepych Svitlana , Spivak Iryna
Published: September 2024

The work is devoted to the problem of a person's search in the current difficult times, when there is no work at all, or insufficient wages for normal living, the possibility of additional earnings. The analysis of the current state of the labor market and software systems with offers of vacant jobs showed that there are a sufficient number of such systems in general access and easy to use. One of their disadvantages is focusing only on vacancies that require full or partial employment (for example, the IT field) of a person. Such systems do not provide the possibility of hourly work, and then a person must independently search for offers on various advertising sites, in Telegram channels, Instagram, etc. Another and the most important problem is finding such additional income that would have the maximum impact on a person. The maximization criterion in this case for any person will be the maximum possible amount of earnings for a certain period of time. After all, each proposal has its own complexity and its own price, as well as the time of implementation. The object of research is the process of maximizing earnings. In view of the above-mentioned problems, it is proposed to develop a recursive method of forming an optimal set of tasks proposed for implementation, taking into account the criterion of maximizing earnings, which is the subject of the research. As a result of the implementation of this method, all tasks that will be in the time period specified by the user will be processed and added to the possible chains of tasks. The number of chains and tasks in them will depend on the "reachability" of a certain task for the user to implement, that is, whether the user will have time to physically reach the necessary place for its implementation. Conclusion: based on the results of working out this recursive method, prototypes of its implementation in practice with the formation of an optimal set of tasks and the laying of a route on Google-map are also illustrated.
DECENTRALIZED INFORMATION SYSTEMS IN INTELLIGENT MANUFACTURING MANAGEMENT TASKS
Authors: Nevliudov Igor , Novoselov Sergiy , Sychova Oksana , Gopejenko Viktors , Kosenko Nataliia
Published: September 2024

The object of research: the process of distributed management of production processes in intelligent manufacturing. The subject of the study: a model of a decentralized system of technological process management in the production area of a modern plant, taking into account the concept of Industry 4.0. The purpose of the research: improvement of the management methods of intelligent production processes to ensure the execution of the technological process resistant to external influences and to ensure the specified indicators of product quality. The following research methods are used: methods of analysis and synthesis of decentralized production systems, modeling methods and theories of automatic control, mathematical apparatus of matrix theory, methods of describing linear dynamic systems. Obtained results and conclusions. In this work, the simulation of the decentralized information system for controlling the production site of intelligent manufacturing using manipulator robots with an angular coordinate system based on servo drives, which act as stepper motors, is carried out. To ensure the stability of the distributed system, parallel decentralization of the control process is proposed and the architecture of the organization of interaction between the components of the cyber-physical system based on it is given. A feature of the proposed model is the consideration of sensors as part of the feedback of the decentralized control system. The result of the simulation is the stability of the decentralized cyber-physical system to external influences for the selected transient characteristics.
Analysis of User Satisfaction Level of the Dana Application in Dki Jakarta
Authors: Hasan Rifai
Published: September 2024

This study aims to analyze the level of user satisfaction with the DANA application in Jakarta. The research employs Purposive Sampling by selecting respondents based on the criteria of having transacted using the DANA application and being at least 17 years old. Data were collected through questionnaires distributed to respondents residing in Jakarta to obtain the necessary information according to the variables studied. The data obtained were analyzed using descriptive analysis techniques, mean tests, standard deviation tests, and t-tests. The results of this study indicate that users agree on the dimensions of user convenience, system information management, application usability, and intention to reuse. Based on the mean test, the user convenience dimension scored an average of 3.98, the system information management dimension scored an average of 3.95, the application usability dimension scored an average of 4.01, and the intention to reuse dimension scored an average of 4.04. This indicates that users agree that the DANA application can be used easily with a comfortable interface design, allowing users to find information in an organized manner and utilize all offered features, leading to user satisfaction and the intention to use the application for future transactions.
Determinants of the Women’s Labor Force Participation Rate in Indonesia
Authors: Zenia Tata Rahayu
Published: September 2024

Indonesia has an almost balanced population of women and men. As a developing country with a large population, it is vulnerable to problems in the large supply of labor. Women are often victims of gender inequality that restricts them from contributing to development and enjoying development. This can be seen in the participation rate of the female labor force in Indonesia which has stagnated at 50%. The purpose of this study is to analyze the factors that influence the female labor force participation rate in Indonesia in 2017-2023. The data used in this study was sourced from the Badan Pusat Statistik Indonesia. The analysis model used in this study is panel data regression with Fixed Effect Model (FEM). Based on the results of the analysis, it is known that women accessing the internet have a significant negative effect on the growth of women's labor force participation rates, the average length of girls' schooling and the provincial minimum wage have a significant positive effect on women's labor force participation rates. Then foreign investment has a negative effect insignificant and domestic investment has a positive effect insignificant.
The Influence of Influencer Marketing and Brand Image on Purchasing Decisions Through Purchase Intention for Somethinc Products (Case Study on Students of Jakarta State University)
Authors: Cecilia Azhara Ayuningtiyas  , Osly Usman
Published: September 2024

The increasing knowledge of beauty products as a form of self-care has become a necessity for society. By applying the right marketing methods, it will create public interest in these products. The purpose of this study is to determine whether influencer marketing and brand image affect purchasing decisions through purchase intention as a mediating variable. The population of this study consists of active students of Universitas Negeri Jakarta who are aware of and have used Somethinc products. This study employs a quantitative method with a total sample of 102 respondents obtained through questionnaires. The results of the direct influence hypothesis test in this study indicate that influencer marketing and brand image do not have a significant impact on purchasing decisions. However, influencer marketing and brand image have a significant and positive impact on purchase intention. The purchase intention variable also has a significant and positive impact on purchasing decisions. Meanwhile, the results of the indirect influence hypothesis test show that influencer marketing and brand image have a significant and positive impact on purchasing decisions through purchase intention.
Analysis of Employee Discipline at Favehotel Pgc Cililitan
Authors: Septika Hanifah , Christian Wiradendi Wolor  , Suherdi
Published: September 2024

This study aims to analyze the level of employee discipline at Favehotel PGC Cililitan, especially related to employee attendance. This research uses a qualitative descriptive method with a case study approach. Data was collected through interviews with four participants from various divisions, direct observation, and related documentation. The results showed that Favehotel PGC Cililitan has implemented an effective fingerprint attendance system, but sometimes experiences technical problems. Employees of Favehotel PGC Cililitan show a good level of work discipline, especially in terms of punctuality, utilization of facilities, and adherence to work standards. Factors such as sudden meetings, health conditions, traffic congestion, and public transportation constraints can be obstacles in maintaining punctuality. Favehotel PGC Cililitan applies graduated sanctions, ranging from verbal reprimands to written warnings to address lateness issues and encourage positive behavioral changes. This research provides valuable insights into the factors that influence employee work discipline in the company and provides recommendations for further improvement including improved communication between employees and management, as well as training and development to improve employee competencies.
Career Development Analysis of Employees at PT Perusahaan Gas Negara, Tbk
Authors: Ardila Sekar Kinanti  , Christian Wiradendi Wolor  , Maulana Amirul Adha
Published: September 2024

Abstract
This research was conducted at PT Perusahaan Gas Negara, Tbk with the aim of knowing the factors that affect career development. Researchers need to explore employees' perceptions of the development opportunities that companies have provided, the extent to which their expectations are met, and whether training programs are appropriate for individual needs.  Data for this study were obtained through several methods, namely literature study, observation, interviews, and documentation. This research analysis was prepared using descriptive qualitative analysis methods to provide a comprehensive picture of the career development of employees of PT Perusahaan Gas Negara, Tbk. This descriptive method is used to describe systematically, factually, and accurately the existing conditions regarding the facts investigated. Therefore, this research is expected to be used as a reference in developing theories related to employee career development factors in a company and as a learning vehicle, especially in improving employee career development in a company.
The Effect of E-Performance and E-Government on the Employee Performance with Motivation as an Intervening
Authors: Antiq Novinda Damayanti
Published: September 2024

Human Resources is one of the important elements in an organization. Organizations need to pay attention to how to improve employee performance. Currently, the large number of employees (ASN) is a big obstacle in realizing good governance because the efficiency and effectiveness of employee performance is difficult to measure. Because of the difficulties in measuring the performance of public organizations, E-Performance and E-Government have been implemented. The main reason for implementing this application is because the government indicates that there are unscrupulous employees whose work is not in accordance with their main duties, functions and workload, apart from that there are also officials whose positions do not meet the required competence and capacity.
E-Performance and E-Government are web-based applications that are used to assess and measure employee performance based on job analysis and workload analysis, as well as being the basis for calculating work performance. With the existence of E-Performance and E-Government, it is hoped that it can motivate employees to improve their performance. The analysis used in this research is a quantitative method using the SPSS Version 24 and Smart PLS 3.0 programs. The analysis technique in this research is Structure Equation Modeling (SEM) using Partial Least Square (PLS) with a significance of 5%. The research results show that E-Performance and E-Government increase employee motivation and performance. Employees feel that it is made easier, thereby creating motivation to improve organizational performance. With good motivation, employees will feel happy and enthusiastic at work, thereby increasing significant development and growth in the organization.
The Analysis of the Use of The Mybluebird Application System at Pt X
Authors: Rahma Nisa Azahri  , Henry Eryanto  , Suherdi
Published: September 2024

In current technological developments, Technological developments have expanded possibilities and made our lives easier. In the world of work, technological developments play an important role in making work easier, one of which is the eVoucher System via the MyBluebird Application. PT X collaborates with PT Blue Bird Group to support employee official travel activities. PT X has used the MyBluebird application as a system for ordering transportation which can be accessed via the Playstore or iOS platforms. The use of the MyBluebird Application System at PT X has gone quite well, but there are still a few problems found. This research was conducted to determine the use and utilization of MyBluebird at PT X. This research is descriptive qualitative research using observation, interview, documentation and literature study research methods.
THE INFLUENCE OF FINANCIAL LITERACY AND EASE OF USE ON THE DECISION TO USE QRIS PAYMENT SYSTEM ON MARKETING STUDENTS OF SMKN 6 JAKARTA
Authors: Misykatul Adawiyah  , Dedi Purwana  , Nadia Fadillah Fidhyallah
Published: September 2024

This research aims to gain new knowledge and analyze The Influence Of Digital Financial Literacy And Ease Of Use On The Decision To Use The QRIS Payment System On Marketing Students Of SMKN 6 Jakarta. This type of research is quantitative research using survey methods through questionnaires that are distributed openly, with the population used being Marketing Students Of SMKN 6 Jakarta. This study used a sample size using the Slovin formula with a total of 140 respondents. The scale used in this measurement is the Likert scale. Researchers used the data that had been collected and then analyzed it using the multiple linear regression method using SPSS (Statistical Package for the Social Sciences) statistical software.
Analysis Level of User Satisfaction with the Neobank Application in Daerah Khusus Jakarta
Authors: Gofur Millah Kamaliah
Published: September 2024

This study aims to determine the satisfaction of Neobank application users in Daerah Khusus Jakarta and their intention to continue using it in the future. This research uses a quantitative approach with a cross-sectional survey design method. The cross-sectional survey design was used in this study to collect data on the level of satisfaction of Neobank application users in Daerah Khusus Jakarta. The population in this study includes individuals who are or have used the Neobank application. In this study, the sample was taken using purposive sampling and distributing questionnaires online via Google Form. The sample used in this study was 120 people. The sample criteria in this study consisted of individuals who live in the Daerah Khusus Jakarta area, over 18 years of age and users of the Neobank application or have used the Neobank application. This study uses validity and reliability tests as research instrument tests. This study uses four data analysis techniques, namely t-value and mean test used to process data. The results of this study indicate that there are four indicators to determine the level of satisfaction of Neobank application users in DKI Jakarta. The four indicators include ease of use and satisfaction, system information and arrangement, usefulness, and intention to use. The results of this study prove that ease of use and satisfaction have a major effect on user satisfaction in using the Neobank application. This research is expected to be used by companies as a basis for conducting Neobank user satisfaction surveys and improving or providing satisfaction for users.
Analisis Kinerja Keuangan Ditinjau dari Environmental Accounting, Environmental Performance, dan Environmental Disclosure
Authors: Gunawan Novita Dhanty , Martini Tina
Published: September 2024

Dunia perekonomian saat ini mengalami kemajuan teknologi yang semakin kompleks yang dapat menimbulkan permasalahan, salah satunya adalah pertumbuhan laba. Salah satu faktor yang mempengaruhi pertumbuhan laba adalah biaya-biaya yang berkaitan dengan kerusakan lingkungan yang diakibatkan oleh kegiatan perusahaan. Kerusakan lingkungan hidup saat ini semakin parah seiring dengan berkembangnya dunia usaha dan teknologi, yang pada akhirnya memberikan dampak negatif terhadap kehidupan masyarakat. Penelitian ini bertujuan untuk menganalisis pengaruh akuntansi lingkungan, kinerja lingkungan, dan pengungkapan lingkungan. Metode penelitian yang digunakan adalah regresi linear berganda dengan populasi Jakarta Islamic Index 70 (JII70). Perolehan sampel menggunakan metode purposive sampling dengan beberapa kriteria sehingga diperoleh 16 perusahaan dalam waktu 4 tahun. Hasil penelitian ini adalah akuntansi lingkungan berpengaruh signifikan terhadap kinerja keuangan, sedangkan kinerja lingkungan dan pengungkapan lingkungan tidak berpengaruh signifikan terhadap kinerja keuangan.
Gendered Pesantren in Contemporary Indonesia: Female Agency, Institution, and Everyday Lives
Authors: Muafiah Evi , Mayasari Lutfiana Dwi , Imtihanah Anis Hidayatul , Yuliani Bustanul
Published: September 2024

In patriarchal cultures and societies, the practice of women’s domestication is commonly embraced. As an educational institution, pesantren are inherently led by the kyai due to their exclusive leadership. Many scholarly studies often neglect the roles of their wives as counterparts or nyai in the pesantren. Even in a broader society, the contributions of nyai in the transformation of pesantren are frequently eclipsed by the roles of their husbands or male counterparts. Therefore, this study aims to comprehend the roles of nyai and how they deal with cultural barriers that are essential for their public participation inside and outside the pesantren. Through an anthropological approach, this study presents the life narratives of two nyais in contemporary Indonesia and demonstrates the significant roles of nyai in the pesantren. It also aims to portray the life experiences of nyais in dealing with cultural barriers and promoting gender awareness to their students (santri). It also explores the interpretation of the gender equality concept within Islamic terms amid the prevailing patriarchal cultures and societies. In addition, it also examines the reception and practices of santri regarding gender awareness and equality. Thus, this study further argues that nyai plays an essential role in promoting gender equality in the pesantren. Nyai’s life experiences and leadership serve as an important modality for the pesantren to transform the society towards just and justice.
Deradicalization Programs in Indonesia: Perspectives of Former Terrorist Convicts
Authors: Wahab Abdul Jamil , Aswin Azwar , M. Fakhruddin , Atieqoh Siti
Published: September 2024

The widespread menace of terrorism on a global scale has been universally recognized as a substantial and urgent problem. The Indonesian government should prioritize the prevention of radicalization, particularly through deradicalization programs for convicted terrorists, in its fight against terrorism and radicalization. This study primarily aims to examine the performance of deradicalization programs by exploring the perspectives of individuals involved in acts of terrorism throughout three distinct periods. The data of this study was collected through interviews, observation, and documentation. This study reveals several aspects that influence the impacts of government-led deradicalization initiatives. The affecting factors include the level of an individual’s motivation to be involved in terrorism, the employed approaches, the appropriate strategy and operational procedures, coaching materials, figures involved in program coaching, and the applied methods. This study offers insight in which deradicalization programs out of prisons requires synergy with other related parties by involving existing stakeholders. The related parties can offer support and facilitate the availability of resources that ex-convicts require in accordance with their respective authorities.
Распространение вариантов вируса SARS-COV-2, вызывающих интерес (VOI) и находящихся под наблюдением (VUM), на основе количества их геномов, депонированных в базу данных GISAID за неделю с 21 по 27 сентября 2024 г.
Authors: Чумачкова Елена , Дмитриева Людмила , Краснов Ярослав , Осина Наталия , Зимирова Анастасия , Иванова Александра , Карнаухов Игорь , Караваева Татьяна , Щербакова Светлана , Кутырев Владимир
Published: September 2024

В обзоре представлена информация по циркулирующим в настоящее время вариантам вируса SARS-COV-2 Omicron вызывающих интерес (VOI) и находящихся под наблюдением (VUM), геномные последовательности которых размещены в международной базе данных GISAID за неделю с 21 по 27 сентября 2024 г.
Design and Optimisation of Body in White of a four-wheel vehicle
Authors: Mohiuddin Mohammed Sadiq , Jalleda Anjaneyulu
Published: September 2024

The Body in White (BIW) is a critical component in automobile design, providing essential structural integrity to withstand various loads and stresses during vehicle operation. This paper presents the simulation and analysis of a BIW chassis for a Bolero vehicle using finite element (FE) analysis to evaluate its performance under different loading and boundary conditions. The study focuses on structural and crash analysis to ensure high-quality vehicles that offer adequate protection to passengers during accidents. A geometrical model of the BIW chassis was designed using CATIA V5 software, and simulations were conducted using Ansys Workbench. Modal analysis was performed to observe natural frequencies and mode shapes, while the deformation and stress induced during side and frontal impacts were analyzed. The materials considered for the BIW structure included CP Steel, Duralumin, and a combination of both. A parametric study on weight optimization was conducted, determining the thickness of structural members based on allowable stress and deformation to ensure structural integrity and performance. The results showed an 18.6% reduction in vehicle weight using a combination of Duralumin (dominating in reinforcement parts) and CP Steel (in other areas). The combined material structure demonstrated less deformation in static structure, side crash, and frontal impact scenarios compared to using either material individually at 1.2mm thickness. Additionally, stress levels were observed to be comparatively lower.
An AI-Based “Do-It-Yourself” Module for Interstitial Glucose Forecasting for People with Type 1 Diabetes
Authors: Almeida Antonio José Rodríguez , Marrero Guillermo Valentín Socorro , Acosta Carmelo Betancort , Zamorano Garlene Zamora , García Alejandro Déniz , Malé María Luisa Álvarez , Årsand Eirik , Ruiz Cristina Soguero , Wägner Ana Maria , Granja Conceiçao , Callico Gustavo , Fabelo Himar
Published: September 2024

Diabetes mellitus (DM) is a chronic condition defined by increased blood glucose, which is suffered by more than 500 million adults. Type 1 diabetes (T1D), predominantly onset in childhood, needs to be treated with insulin. Keeping glucose within the desired range is a challenge. Despite the advances in the mHealth field, the successful appearance of the so-called do-it-yourself (DIY) tools, and the progress in glucose level prediction based on deep learning (DL), these tools fail to engage the users in the long-term. This limits the potential positive impact that they could have on the daily self-management of the condition, specifically by providing an accurate prediction of their short-term glucose level. Hence, this work proposed a DL-based DIY framework for interstitial glucose prediction using continuous glucose monitoring (CGM) data to generate one fully personalized DL model per user (i.e., without using additional data from other people). The DIY module has been designed to read the CGM raw data (as it would be uploaded by the potential users of this tool), and automatically prepare them to train and validate a DL model for his or her glucose prediction up to one hour ahead. For the DL models training and validation, one year of CGM data from 29 subjects (independently processed) with T1D collected at Complejo Hospitalario Insular-Materno Infantil de Las Palmas de Gran Canaria were used. Results show that this fully personalized approach presents state-of-the-art prediction performance, using only CGM data. Besides, to the best of our knowledge, this work is the first one in providing a DIY approach, since the code of this framework is open source and prepared for the DIY use standalone or in a broader application. Finally, this module has been tested in two different operating systems, demonstrating its easy integration as a standalone tool to help people to effectively aid with T1D self-management.