bluuebunny/crossref_metadata_2025 huggingface dataset:
Differential Impacts of Tourism on GDP Growth: A Comparative Study of Developed and Developing Economies
Authors: Sujal Laxmidas Naik
Published: February 2025

Tourism is a key driver of economic growth, yet its contributions differ significantly between developed and developing nations. This study compares these two contexts using panel data from 1995 to 2023, employing Fixed Effect and Random Effect econometric models. It examines the role of tourist expenditure, occupancy rates, governance quality, and CO₂ emissions. Unlike previous research, this work systematically bridges a gap by analysing how these factors differentially impact GDP growth. Findings reveal that infrastructure and high-income tourism are pivotal in developed nations, while governance quality and bed occupancy rates are critical in developing economies. This dual-context approach offers actionable insights for crafting tailored tourism policies that balance economic growth and sustainability, contributing to the discourse on global tourism dynamics.
From Classroom to Boardroom: How College Education Shapes Career Decision Making in Gen Z
Authors: Seetha Lakshmi H
Published: February 2025

Background: The transition from college to the professional world is a critical phase in an individual's life, particularly for Generation Z (born between 1997 and 2012), who navigate a unique set of challenges and opportunities. As the first generation to grow up immersed in digital technology, their career decision-making processes are influenced by globalization, technological advancements, and evolving societal norms. While college education plays a vital role in preparing them for the workforce, factors such as economic uncertainty, intrinsic and extrinsic motivations, and evolving job markets significantly impact their career trajectories.
Objective: This study aimed to explore how college education shapes the career decision-making process for Generation Z. Specifically, it examined the role of academic experiences, experiential learning opportunities, intrinsic and extrinsic motivations, and challenges in preparing Gen Z for non-linear, purpose-driven career paths.
Methodology: A mixed-methods research design was employed, integrating quantitative surveys of 315 Generation Z college students and qualitative interviews with 20-30 participants. Quantitative data were analyzed using descriptive and inferential statistics, while qualitative data were subjected to thematic analysis to identify patterns and insights.
Results: The findings revealed that academic programs (78% influence), mentorship (82%), internships (79%), and technological skills (68%) were critical factors in shaping career decisions. Intrinsic motivations, such as passion for meaningful work (71%), outweighed extrinsic factors, though economic stability (59%) and familial expectations (55%) also played significant roles. Challenges, including economic uncertainty (62%) and the evolving job market (64%), emerged as barriers to informed decision-making.
Findings: The study emphasized the pivotal role of college education in preparing Generation Z for the modern workforce. Academic institutions were found to influence career readiness through practical curricula, mentorship, and skill-building programs. However, the findings highlighted the need for tailored career guidance to address Gen Z's unique aspirations and challenges. The integration of digital tools and personalized support systems was identified as critical to enhancing their career preparedness.
Adaptive Knowledge Consolidation: A Dynamic Approach to Mitigating Catastrophic Forgetting in Text-Based Neural Networks
Authors: J. Ranjith
Published: February 2025

Neural networks face catastrophic forgetting as a major drawback for text-based systems that need ongoing learning adaptability. Current methods like Elastic Weight Consolidation (EWC) and Synaptic Intelligence (SI) rely on static processes when preserving existing knowledge while ignoring the specific worth of different tasks. Our innovative Adaptive Knowledge Consolidation method (AKC) dynamically modifies knowledge retention rates by evaluating semantic connections between tasks along with their individual importance levels. The AKC method includes a task embedding module that uses pre-trained language models to gauge task similarity while its consolidation process benefits from dynamic weighting controls. Our evaluation process used AKC to compete on three NLP benchmarks which included GLUE, AG News, and SQuAD against top performing methods such as EWC, SI, and replay-based methods. Experimental findings confirm AKC significantly enhances average task performance to 86.7% accuracy which exceeds both EWC and SI which achieved 78.2% and 80.1% respectively. AKC achieves lower forgetting at 6.2% which shows better results than replay-based methods like GEM that reach 8.9%. AKC proves effective at reducing catastrophic forgetting and maintaining important knowledge to become a valuable technique for text-based neural network continual learning.
Optimizing Accuracy and Computational intensity of Web Usage Mining for E-commerce Recommendations Using LLMs
Authors: Supriya Saxena
Published: February 2025

Web usage mining has become critical in enhancing e-commerce platforms by understanding user behavior and providing personalized recommendations. However, traditional algorithms often suffer from high computational intensity and limited accuracy when processing large-scale web log data. This research proposes a novel approach leveraging Large Language Models (LLMs) to analyse and optimize web log data for e-commerce recommendation systems. To take into account the rich contextual understanding of LLMs and their powerful feature extraction capability, the presented approach is set to enhance precision while reducing computation overhead. By utilizing the E-commerce Website Logs dataset, this research preprocesses raw log data into structured features such as session durations, clickstream patterns, and page dwell times. This approach is then tested against five other existing algorithms: Random Forest, Support Vector Machine (SVM), k-Nearest Neighbours (k-NN), Gradient Boosting, and Deep Neural Networks in terms of accuracy, F1-score, precision, recall, sensitivity and root mean square error (RMSE). Apart from prediction quality, the computational efficiency of each algorithm is also analysed in terms of training time, inference time, and resource usage. Results show that the LLM-based model consistently outperforms traditional algorithms across all the evaluation metrics, such as achieving higher accuracy, precision, and recall along with substantially lower RMSE. In addition, the proposed method has faster processing times and lower computational intensity, which makes it more suitable for large-scale, real-time recommendation tasks. This paper contributes to the field by showing the potential of LLMs in web usage mining and recommendation systems, offering a scalable solution that bridges the gap between accuracy and efficiency. These findings emphasize the integration of advanced models of machine learning, such as LLMs, into e-commerce platforms for the ever-growing demands of today's modern platforms and to ensure computational feasibility.
Experimental Study: Is Independence Able to Strengthen the Relationship of Auditor Competence to Audit Recommendations in Indonesia?
Authors: Saddam Roberto Binu
Published: February 2025

This study is to find out whether the competence of Young Professionals (PM) auditors can improve audit recommendations more than the competence of the First Professional (PP) auditors and to find out whether the independence of In-fact (F) and In Appearance (A) of auditors can strengthen professional competencies (P) so as to further increase audit recommendations, so that it can positively affect audit recommendations. The method used in this study is an experiment with a 2x2 factorial design. The sample in this study is 132 auditors with young professional competencies and the first professional from 3 provinces in Indonesia, namely Lampung, South Kalimantan and East Nusa Tenggara. The results of the study show that the competencies of young professionals can provide better audit recommendations than the first supported professional competencies. The results of this study also show that auditor independence cannot strengthen or weaken the relationship between auditor competence and audit recommendations. Specifically, this study shows that the competence of young professionals can improve audit recommendations.
Vulnerabilities and Encryption Applications of JWT-Based Authentication Methods
Authors: Seok-Woo Jang
Published: February 2025

Most modern web applications send and receive data using the HTTP (HyperText Transfer Protocol) transmission method. HTTP has the characteristic of being non-connected. Due to this characteristic, the client must inform the server every time that he or she is an authenticated user. There are currently several authentication methods for this, such as cookies, session cookies, and tokens. Currently, a JSON-formatted token called JWT is being widely used. JWT is used in domains such as QR check-ins and social logins due to its fast and simple characteristics. However, JWT has a critical security vulnerability because it contains the user's information as it is in the token. If an attacker steals a token on the network, the user's information can be easily obtained by simply base64 decoding. The purpose of this study is to protect the user's information from the attacker by encrypting the payload part containing the user's information and the header part containing the hash information.
Highly Sensitive Plasmonic Sensor for Moisture Detection in Transformer Oil Using Silver-Coated D-Shaped Optical Fiber
Authors: Mustafa Abdulirees Jebur
Published: February 2025

Transformer oil plays a critical role in maintaining the insulation and cooling functions of power transformers. However, its performance is significantly affected by moisture contamination, which reduces dielectric strength, accelerates material degradation, and increases the risk of catastrophic failures. This study presents a highly sensitive and cost-effective optical sensing device based on a D-shaped optical fiber coated with silver nanoparticles (Ag-NPs) to detect moisture levels in transformer oil. The sensor makes use of plasmonic homes of Ag-NPs to expand sensitivity and affords real-time moisture detection with a decrease detection restriction of 15 ppm. Fabrication of the sensor became carried out through electron beam evaporation, and its overall performance was optimized the usage of advanced simulations, inclusive of finite detail evaluation and the Drude model. Experimental effects confirmed a sturdy correlation between moisture degrees and transmitted strength changes, demonstrating a sensitivity of 0.4097 dB/ppm. Comparisons with conventional strategies, which include Karl Fischer titration and capacitance sensors, suggest that the proposed sensor gives superior accuracy, quicker reaction times, and lower fabrication charges. These findings underscore the capability of this sensor for enhancing transformer protection strategies and stopping operational failures.
Evaluating the Environmental and Energy Implications of Solar Panel Recycling in India: A Sustainability Assessment
Authors: Anjali
Published: February 2025

Solar panel recycling is crucial for resource conservation, economic opportunities, and environmental impact reduction. Among different recycling methods, this study finds mechanical recycling to be most suitable for India, efficiently recovering valuable materials like silicon, silver, and cadmium/tellurium. Various recycling methods used globally were reviewed, however we specifically explore India’s context , where by 2030, solar panel waste is projected to reach 340,000 tons, highlighting the urgent need for effective recycling strategies.
Our study shows that mechanical recycling can recover 85% of silicon, 70% of silver, and 60% of cadmium/tellurium, with estimated costs of ₹22/kg for silicon, ₹90,000/kg for silver, and ₹150,000/kg for cadmium/tellurium. Embracing these methods could reduce imports, benefitting both the economy and the environment.
The Impact of Automation, Optimization, and IoT on Customer Trust and Loyalty in E-Commerce
Authors: Rani Jaiswal
Published: February 2025

This study looks at how automation, optimization, and Internet of Things (IoT) technologies affect customer trust and loyalty in e-commerce. It raises the important question of how these technologies change what consumers think and how they act. Using a quantitative analysis, the study collects data from customer surveys, transaction records, and performance statistics from different e-commerce sites that use these technologies. The results show that more automation and optimization lead to higher customer trust and loyalty. At the same time, IoT integration boosts the personalization and responsiveness of services, which helps engage customers more. These findings are significant not just for e-commerce but also for healthcare, where customer trust is crucial for accepting digital health solutions. By showing the positive impacts of technology on consumer trust, the research highlights how healthcare providers can also use automated and optimized systems to build trust and loyalty with patients. Thus, this study offers important insights into the wider effects of technology in service industries, indicating that organizations focusing on these innovations may achieve better customer retention and satisfaction, ultimately promoting growth and sustainability in the changing digital world.
The Problem of Transferability Skills and Learning Environment to Enhance Engineering Students' Competence and Creativity in Entrepreneurial Subjects
Authors: Setya Chendra Wibawa
Published: February 2025

Innovation ideas are needed to link business ideas to informatics. The purpose of this study is limited to measuring the effect of transferability indicators and learning environment on problem-based learning to improve student competence and creativity. The research method used is Path Analysis. Data were taken from 94 students in Information Technology Education study programs and divided into small groups to create business ideas. The conclusion is a very significant influence on the Transferability Skill indicator and Learning Environment on Problem-Based Learning in Improving Student Competence and Creativity. This way of research can be done for other objects.
Optimizing Balanced Networks with Strong Equitable Edge Colouring
Authors: D. Kavitha Thenmozhi
Published: February 2025

Equitable edge colouring is a sophisticated network labelling technique with no more than one difference in the number of edges between any two colour groups. In this study, we applied the equitable edge-coloring technique to triangulated networks, utilizing the minimal number of edge colours, denoted by Δ. The structural characteristics of horse stride, branch flow, and tri-wing networks are presented in this research. The technique ensures optimized network performance, regardless of whether the triangular graphs involved are in even or odd quantities, reinforcing the robustness of this method across diverse network architectures.
An Automated Identification of Muscular Atrophy and Muscular Dystrophy Disease in Fetus using Deep Learning Approach
Authors: Ganga Bhavani Bill
Published: February 2025

Muscular Atrophy (MA) and Muscular dystrophy (MD) diseases are genetic diseases. These diseases are commonly diagnosed with the help of techniques such as chorionic villus sampling (CVS) and amniocentesis, vitro fertilization (IVF), Intrauterine insemination (IUI) in fetus level. Among these techniques, chorionic villus sampling (CVS) and amniocentesis recommends the diagnosis of muscular dystrophy and muscular atrophy through identification of the patterns that exist in fetus. However, while there is a dearth of information about disease-specific patterns, there are overlaps among the patterns of different diseases. Therefore, Deep learning techniques can be used in the diagnosis of muscular dystrophies, muscular atrophy which enables us to analyze, learn, and predict for the future. In this scenario, the current research paper an automated muscular dystrophy detection and muscular antropy model using Convolutional neural networks (CNN)method and Restricted Boltzmann machines (RBM). These models have been proposed to act as an automated deep learning (DL) model that examines the chorionic villus sampling (CVS) and amniocentesis data.
ROAP: Resource Optimization, Allocation and Provisioning in cloud ecosystem with cognitive computing
Authors: Siya Garg
Published: February 2025

In the domain of Artificial Intelligence, many academicians and researchers predict that cognitive computing represents the future. But can it address the issues and challenges of cloud computing? This is precisely what has been explored in this paper. Among the many issues plaguing cloud computing is the challenge of efficient resource management by cloud service providers, including both the allocation and deallocation of resources on demand to cloud service requesters. To address this challenge efficiently, a cognitive framework has been proposed. This framework applies the principles of cognitive computing to detect and evaluate patterns, if any, in cloud requests, enabling more effective future resource allocation.
Digital Finance Ecosystems and Their Role in Advancing Financial Inclusion: Opportunities, Risks, and Future Directions
Authors: Nithyashree R
Published: February 2025

Digital finance ecosystems are revolutionizing the financial landscape by integrating cutting-edge technologies to provide financial services to previously underserved populations. This paper explores the role of these ecosystems in advancing financial inclusion, focusing on opportunities, risks, and future directions. Through real-time data, case studies, and visual analyses, the paper highlights the components of digital finance ecosystems, evaluates their impact on financial inclusion, and proposes strategies for mitigating associated risks. Key insights into partnerships, inclusive finance models, and future trends are also presented.
Analyzing Financial Failures: A Study of Iraqi Banks and Key Financial Indicators
Authors: Ghassan Rashad Abdulhameed
Published: February 2025

This research addresses the financial failures occurring in the Iraqi financial market. An in-depth analysis is conducted on the practices that contribute to financial failure in Iraq. The research objectives and questions focus on the issue of financial failure within the economic context of Iraq. Additionally, an analysis is performed on the key financial factors exacerbating the situation. A literature review highlights secondary data sources that reflect the key financial indicators contributing to failure risks for banks in Iraq. Low contributions to GDP, high cash dependency, and elevated debt levels were identified as prominent key performance indicators (KPIs) in the research, based on both secondary and primary data sources. The research method employs a mixed-method approach, utilizing questionnaires and five interviews to analyze the impact of poor financial performance on the financial failure of banks in Iraq. Data collection is conducted through both primary and secondary sources, increasing the validity and reliability of the conclusions drawn. The data is analyzed using SPSS, with methods including descriptive statistics, regression, and correlations. The significance level is noted to be greater than 0.05, indicating a clear link between poor financial performance and financial failure. In conclusion, the research emphasizes the necessity for both private and government-owned banks to understand the key factors responsible for their success and failure.
Deep Learning-Driven IoT Defence: Comparative Analysis of CNN and LSTM for DDoS Detection and Mitigation
Authors: Vinay Tila Patil
Published: February 2025

The extensive utilization of Internet of Things (IoT) devices has revolutionized multiple sectors, ranging from smart homes to industrial automation, while concurrently broadening the attack surface for cyber threats, including Distributed Denial of Service (DDoS) attacks. This study examines the efficacy of Convolutional Neural Networks (CNNs) and Long Short-Term Memory Networks (LSTMs) in detecting DDoS attacks, focusing on the distinct security concerns presented by IoT networks. Employing the extensive CICDDoS2019 dataset, these algorithms scrutinize individual IP flow records to attain real-time anomaly identification with elevated precision. The evaluation results reveal that both CNN and LSTM models exhibit strong performance, with CNNs showing enhanced precision (99.42%) and F1-score (99.26%) due to their capacity to extract spatial patterns from multidimensional traffic data. Although LSTMs are proficient in capturing temporal dependencies, their elevated computing demands render them less appropriate for real-time applications in resource-limited IoT settings. This paper emphasizes CNNs as a scalable and efficient option for IoT network defence and advocates for more research into hybrid deep learning architectures to improve anomaly detection.
COVID-19 SMB Networks Transition to Remote Work
Authors: Aditya Gupta
Published: February 2025

The COVID-19 pandemic necessitated a rapid shift to remote work, posing significant challenges and opportunities for small and medium-sized businesses (SMBs). This paper examines the transition of SMBs to digital operations, highlighting the critical role of technology in facilitating this shift, with a focus on networking infrastructure choices between wired and wireless systems. It explores the advantages of wireless networks in terms of flexibility, scalability, and cost-effectiveness, supported by cloud services for enhanced operational efficiency and security. The paper further discusses the security challenges encountered by SMBs in remote work settings, including VPN vulnerabilities, unsecured Wi-Fi networks, weak passwords, and compliance risks. Through a comprehensive analysis, the paper advocates for a hybrid approach to networking and emphasizes the importance of robust security measures, including the use of content delivery networks (CDNs), OAuth 2.0, and virtual private networks (VPNs) provided by major cloud services like AWS, Azure, and GCP. The conclusion underscores the necessity for SMBs to adopt advanced technologies and security practices to navigate the complexities of a post-pandemic world, ensuring business continuity and laying the groundwork for future resilience and success.
Cryptocurrency as a Disruptive Force in Traditional Banking: Opportunities and Challenges
Authors: S. Ganapathy
Published: February 2025

Cryptocurrency has become a new form of money that threatens the existing banking systems around the world. Under this, the study seeks to find out the opportunities and risks that cryptocurrency presents in the traditional banking sector, especially regarding the role of trust, regulatory guidance, CE, and adoption rates in different financial centers. A cross-sectional survey design was employed, targeting financial professionals and stakeholders in four major financial hubs: New York, London, Singapore, and Frankfurt. The data were obtained from structured online questionnaires and interviews. The level of trust in cryptocurrencies and adoption rates were compared using descriptive statistics and correlation analysis. The study also revealed that there were regional differences in trust and adoption and that Singapore had the highest levels of both because of the right regulatory environment and technological development. A positive relationship between trust and adoption was established, meaning that improved regulatory environments increase trust and hence adoption. They also showed that although cryptocurrencies are seen as an activity that can coexist with traditional banking, these issues as regulatory and security issues, are still critical at the regional level. The findings of this research are that, even though cryptocurrencies are seen as an addition to the conventional banking system, their use is highly dependent on the legal framework and development of technology. We sit perpetually on the edge of the unknown, stepping forward only if financial institutions and policymakers can plan how to systematize the risks and take advantage of the opportunities of Cryptocurrency and blockchain technology.
Effect of supplementing epinephrine in maturation media on the developmental competence of buffalo oocytes
Authors: Husnain Ali , Khaliq Abdul , Ashraf Talha , Rehman Abdul , Zahoor Muhammad Yasir , Binyameen Muhammad , Riaz Amjad
Published: February 2025

Epinephrine is a catecholamine that plays a vital role during cellular stress by scavenging free radicals. During in vitro maturation, oocytes experience stressful conditions that likely compromise their development. The objective of the experiment was to investigate the effect of the addition of epinephrine in IVM media on nuclear maturation and in vitro developmental competence of oocytes. Buffalo oocytes were harvested from slaughterhouse ovaries. Oocytes of A and B grade were matured for 24 hours in IVM media supplemented with increasing concentrations of epinephrine 0, 0.01, 1.0, and 100 μM. The maturation of oocytes was examined based on the nuclear maturation after staining with Hoechst 33342 (Sigma Aldrich, St. Louis, MO, USA). After maturing with epinephrine, oocytes were fertilized for 6 hours with post-thawed semen from a single bull. Presumptive zygotes were cultured in commercial media (IVF Bioscience, Falmouth, UK), and cleavage was observed 48 hours after fertilization. The blastocyst rate was assessed on day 7 of the culture. Maturation and fertilization media were prepared in-house. Blastomere was counted from the hatched blastocyst after staining with Hoechst 33342 using an inverted microscope equipped with Cellsens software. The data was analyzed using the GLIMMIX procedures of SAS. The statistical model included the fixed effect of treatment and random replication. Orthogonal polynomial contrasts were built to assess the dose-response of epinephrine. Results represented as least square means and respective standard error of means (LSM ± SEM). Adding epinephrine to the maturation media did not affect the nuclear maturation and cleavage. Media supplemented with epinephrine at 0, 0.01, 1.0, and 100 μM concentrations had a proportion of meiotic I and II oocytes of 83.1 ± 6.0, 85.5 ± 6.3, 75.3 ± 5.9, and 70.9 ± 6.4%) and cleavage rate of 58.2 ± 4.6, 60.5 ± 4.6, 54.7 ± 4.5, and 47.8 ± 4.4%) respectively. However, the proportion of blastocyst out of matured oocytes was increased (p=0.01; 35.9 ± 4.5, 43.2 ± 4.8, 36.0 ± 4.3, and 25.8 ± 3.8%) with epinephrine supplementation and the response was maximized (Quadratic effect; p=0.01) at 0.01 μM concentration. Consistently, the proportion of blastocyst out of cleaved embryos tended to increase (p=0.13; 62.1 ± 5.0, 72.4 ± 4.6, 66.7 ± 4.7, and 55.3 ± 5.3%) with epinephrine and the response was maximized (Quadratic effect; p=0.04) at 0.01 μM concentration. Supplementation of epinephrine in maturation media increased (p<0.01) the blastomere number, and response was maximized (Quadratic effect; p<0.01) at 1.0 μM concentration. It is concluded that supplementing  epinephrine in maturation media had a favorable effect on the blastocyst formation, and significant benefits were observed at 0.01 μM concentration.
I am Once Again Asking for Your Attention: A Replication of Feature-Based Attention Modulations of Binding Effects with Picture Stimuli
Authors: Singh Tarini , Schöpper Lars-Michael , Frings Christian
Published: February 2025

Action control theories assume that stimulus and response features are integrated or bound into short term episodic traces. A repetition of any of these features results in a retrieval of the entire episodic trace, and can thus facilitate or interfere with future actions. Along with stimuli features, features of the response and any other irrelevant stimuli that are present, are also integrated into such traces and can influence future actions. Using word stimuli, Singh et al. (2018) observed that such so-called binding effects are larger for attended features relative to unattended features. This was the case even for features generally believed to be automatically processed, like valence. Since previous research has shown differences in the processing of word and picture stimuli, it is questionable whether the attentional modulations in the above study would extend to picture stimuli. In order to examine this question, Experiment 1 replicated the design of Singh et al. (2018) but used picture instead of word stimuli. In order to directly compare word and picture stimuli, the data of Singh et al (2018) were re-analysed together with the data of the present study. In Experiment 2, the alternative hypothesis, that the effects were driven by the encoding of stimulus contingencies, was tested. Taken together, the findings of the present study replicate those of Singh et al. (2018), indicating that even with picture stimuli, valence related binding effects are modulated by attention allocation.
Katekese Upaya Suksesi Pertumbuhan Iman Umat Paroki HSPMTB-Putussibau
Authors: Agu Egidius
Published: February 2025

Fokus penelitian ini adalah meninjau pertumbuhan iman umat di Paroki HSPMTB-Putussibau. Persoalan budaya dan ekonomi menjadi tantangan utama dalam mencapai pertumbuhan iman yang ideal. Situasi menjadi lebih runyam ketika berhadapan dengan realitas pemahaman umat yang terbilang minim terkait dengan iman Katolik. Berdasarkan hasil wawancara dan observasi dan dibantu teori perkembangan iman dari James Fowler yang menjadi pisau bedah dalam menganalisis hasil penelitian ini, menemukan bahwa umat HSPMTB-Putussibau belum mencapai pertumbuhan iman yang ideal. Realitas ini membangkitkan kesadaran akan pentingnya sarana dan daya upaya untuk menumbuhkan iman umat dan pemahaman akan iman yang dihayati. Katekeses menjadi salah satu sarana suksesi untuk membantu pertumbuhan iman umat.
Pelaksanaan Tugas Organis Sebagai Pengiring dan Instrumentalis Dalam Musik Liturgi
Authors: Tarigan Yoga Rizki Pratama , Fajariyanto Tri Chandra
Published: February 2025

Studi ini menyelidiki peran penting pemain organ dalam Liturgi/Ekaristi Katolik, khususnya di Paroki St. Yosep Delitua. Pemain organ bertanggung jawab untuk menciptakan harmoni dalam perayaan ini, mempertimbangkan ritme, gaya musik, dan tempo dari lagu-lagu yang dimainkan. Organ memberikan kontribusi signifikan dalam mewujudkan Musik Liturgi, menciptakan atmosfer yang harmonis, dan berfungsi sebagai pelaku liturgis. Studi bertujuan untuk memahami peran pemain organ dalam mengiringi nyanyian jemaat dan mengidentifikasi tugas mereka dalam memainkan musik instrumental. Metodologi penelitian kualitatif digunakan, dengan menekankan fokus terbatas pada kemampuan teknis daripada pendidikan liturgis yang komprehensif untuk pemain organ di banyak paroki, yang mengonfirmasi pelaksanaan tugas organis yang masih belum terlaksana dengan baik dalam perayaan liturgis. Studi ini mengungkap pentingnya peran pemain organ dalam Liturgi Katolik dan mengungkapkan bagaimana pelaksanaan yang baik sesuai dengan peraturan didalam musik liturgi gereja katolik, khususnya di Paroki St. Yosep Delitua. Metodologi penelitian kualitatif menyoroti kebutuhan akan pendidikan liturgis yang lebih komprehensif bagi pemain organ di banyak paroki. Semua ini menegaskan pelaksanaan yang signifikan yang dimainkan oleh pemain organ dalam perayaan liturgis
Kompetensi Belajar Generasi Z di Era Society 5.0
Authors: Sabambam Maria Nesta , Goa Lorentius
Published: February 2025

Generasi Z adalah kelompok orang yang lahir antara pertengahan tahun 1990-an dan awal tahun 2010-an, dan mereka memiliki ciri-ciri pembelajaran unik. Fakta bahwa inovasi dan perkembangan teknologi terus berlanjut dan terus berkembang dengan cepat hingga saat ini menunjukkan bahwa teknologi tidak hanya terus berkembang, tetapi juga berkembang dengan cepat dan berdampak luas pada berbagai aspek kehidupan manusia. Untuk memanfaatkan potensi yang ditawarkan oleh revolusi digital, penting untuk terus mengelola perubahan ini dengan cermat, menjamin inklusi, dan mengembangkan literasi digital. Tujuan penelitian ini adalah untuk menyelidiki kemampuan belajar Generasi Z di era Revolusi Industri 5.0. Metode yang digunakan dalam penelitian ini adalah pendekatan kualitatif yang melibatkan kajian pustaka sebagai sumber data utama. Generasi Z adalah generasi yang tumbuh dan berkembang di era teknologi yang canggih. Proses belajar mereka juga bergantung pada teknologi. Mereka belajar dengan memanfaatkan teknologi. Generasi Z sering mengambil bagian dalam pembelajaran online, yang mencakup kursus online, tutorial video, dan sumber daya pembelajaran digital.
Pendampingan Pastoral Gereja dalam Meningkatkan Spiritualitas Kaum Bapak Menggunakan Pendekatan AIDAS oleh Richard R. Still dan Edward W. Cundiff
Authors: Banjarnahor Alan Kusuma
Published: February 2025

Dewasa ini, aspek pastoral turut mendominasi dalam setiap kegiatan gereja yang holistik. Salah satu tugas dan tanggung jawab gereja ialah melakukan pendampingan pastoral kepada seluruh lapisan jemaatnya, termasuk kaum Bapak guna meningkatkan pertumbuhan spiritualitasnya. Gereja sebagai mitra Allah dipercaya untuk memelihara dan memenuhi kebutuhan spiritual kaum Bapak (seelsorge). Artikel ini bertujuan untuk mengetahui apakah hakikat gereja di masa kini sudah menjadi gereja yang sempurna dalam pemenuhan kebutuhan spiritual bagi kaum Bapak. Penelitian ini dikembangkan dengan metode kualitatif yang menggunakan pendekatan pastoral oleh teori Still dan Cundiff. Informan penelitian ditentukan dengan teknik purposive sampling. Pengumpulan data dilakukan melalui observasi dan wawancara semi-terstruktur. Hasil penelitian menunjukkan rendahnya partisipasi kaum Bapak dalam mengikuti persekutuan gereja, artinya gereja masih bergumul dalam pemenuhan kebutuhan spiritual kaum Bapak. Ini dapat disebabkan oleh dua faktor utama, yaitu faktor internal menyangkut iman, motivasi dan minat serta faktor eksternal menyangkut rutinitas kegiatan program gereja. Untuk itu, pentingnya pendampingan pastoral gereja  dengan pendekatan AIDAS ini diselaraskan dengan gereja yang terus berbenah menjadi jawaban akan kebutuhan mengajak kembali kaum Bapak turut aktif beribadah di gereja dan pertumbuhan spiritualnya.
Kristus dalam Berbagai Budaya
Authors: Daeng Maeja Jhon , Kii Rosalia Ina , Mati Maria Felicitas , Widiatmoko Eugene Mario , Sriwahyuni Lina
Published: February 2025

Gereja dan budaya tidak bisa dipisahkan. Gereja dapat semakin mengakar dan bertumbuh dalam budaya. Dalam perjalanan sejarah, hubungan antara gereja dan budaya dibagi menjadi tiga bagian. Bagian pertama, gereja pada masa awal masih menyatu dengan budaya. Bagian kedua terjadi saat gereja memisahkan diri dari budaya. Gereja tidak bersentuhan dengan kebudayaan. Bagian ketiga merupakan masa dimana gereja kembali membangun hubungan dengan budaya. Akan tetapi dalam perjalanannya, gereja belum sepenuhnya menerima dan menggali makna dari budaya. Gereja seringkali mengabaikan dan bahkan mau menghilangkan suatu kebudayaan. Tujuan penulisan ini ialah menggali teologi kontekstual dalam berbagai budaya. Metode penelitian yang digunakan ialah kajian pustaka. Hasil penelitian ialah Kristus dapat ditemukan dalam budaya Jawa, Sumba, Timor dan Toraja. Masing-masing budaya mempunyai penyebutan untuk memperkenalkan Yesus Kristus. Menurut budaya Jawa, Kristus dihubungkan dengan tokoh Semar. Dalam budaya Sumba, Kristus dianalogikan sebagai Marapu sejati. Panggilan suku Timor untuk Yesus Kristus ialah Nai Maromak. Sedangkan dalam budaya Toraja Kristus disebut sebagai Tomanurun dan alang. Kesimpulan penelitian ialah teologi kontekstual sudah dilaksanakan dalam beberapa budaya di Indonesia.
Sharing Iman Yakub Berdasarkan Kejadian 48:15-16 dan Implementasinya dalam Pendidikan Iman Anak
Authors: Chiaralazzo Monica Innanda , Krismiyanto Alfonsus
Published: February 2025

Pendidikan iman anak merupakan tanggung jawab utama orang tua yang dimulai dari keluarga, yang merupakan lingkungan pertama bagi anak. Dalam Alkitab, khususnya Perjanjian Lama, peran orang tua dalam mendidik iman anak sangat ditekankan. Sebagai contoh, dalam Kejadian 48:15-16, Yakub memberikan sharing iman kepada anak-anaknya, Efraim dan Manasye, dengan menyatakan bahwa Allah adalah "gembala" yang baik dan "malaikat" sebagai pembebas. Melalui berkat ini, Yakub tidak hanya memberikan harapan bagi masa depan keturunannya, tetapi juga mewariskan iman yang mendalam kepada Allah. Penelitian ini bertujuan untuk mengkaji peran orang tua dalam pendidikan iman anak, dengan mengangkat contoh sosok Yakub dalam berbagi iman. Implementasi sharing iman dalam keluarga sangat penting untuk membangun pondasi iman yang kuat pada anak-anak. Orang tua diharapkan untuk aktif memberi contoh dan berbagi iman, baik dalam kondisi baik maupun sulit, sebagai bagian dari tanggung jawab mendidik iman anak sesuai ajaran Gereja dan ajaran Alkitab.
Managing Stress, Depression, Anger, and Enhancing Mental Health in Graduate Students Through Positive Therapy at IES University.
Authors: Lal Tembhre Madan , Nath Chaubey Dr. Yogendra , Lal Tembhre Madan
Published: February 2025

This research evaluates the effectiveness of positive therapy in managing stress, depression, and anger among graduate students at IES University and its impact on overall mental health. The study employs a quasi-experimental design with 200 participants divided into therapy and control groups. Results demonstrate that positive therapy significantly reduces stress, depression, and anger, while improving overall mental health. These findings suggest that positive therapy is a beneficial intervention for enhancing the well-being of graduate students.
Strategy of Indonesian advertising industry in designing advertisements in the digital media era
Authors: Kurdaningsih Dian Marhaeni , Wijaya Mahendra , Rahmanto Andre N. , Kartono Drajat Tri
Published: February 2025

Technological advances and changes in media as well as changes in viewing behavior in the digital era have implications for changes in the management of the advertising industry, especially in designing advertisements. In the conventional era, advertising only serves limited media, television, radio, print media, and outdoors. Ad messaging is designed simply because it involves only one platform. The nature of the relationship between media and consumers goes one way. In the era of digital media, advertising service platforms are very diverse. This study aims to understand how advertising industry players as advertising design designers create new advertising strategies in the digital era. The qualitative research method involved 5 informants from advertising industry players in Indonesia, namely advertising industry leaders at the central and regional levels, the general chairman of the Central Indonesian Advertising Company and the Chairman of the Central Java branch of the Advertising Industry as well as practitioners in the creative field of the advertising industry. The study results show that the advertising industry's strategy in answering the challenge of media technology dynamism involves creating new designs on all elements, including human resources, skills to master technology, device preparation, and digital skills.
Work and Aging: The Potential of Aging Workforce
Authors: LD Dionisio
Published: February 2025

All regions of the world have experienced a considerable
increase in life expectancy from 1950 to the present.1,2 Population
aging is about to become one of the most significant social
transformations of the 21st century, with consequences in almost
all sectors of society, including the labor and financial markets and
the demand for goods an services (housing, transportation, social
protection), as well as for family structure and intergenerational
ties.3-5 Older people are increasingly perceived as elements that
contribute to development; it is considered that their abilities to
improve themselves and society should be integrated into public
policies and programs at all levels.
Cultural Management and Leadership: Insights from Rao Zongyi’s Calligraphy Philosophy
Authors: Linhui Li , Dianyou Zhang
Published: February 2025

This study explores the application of Rao Zongyi’s calligraphy philosophy to cultural management and leadership, emphasizing the principles of balancing tradition with innovation, strategic adaptability, and resilience. Cultural institutions today face challenges in preserving artistic heritage while embracing contemporary transformations. Rao’s philosophy, deeply rooted in traditional Chinese calligraphy, provides a leadership framework that integrates artistic discipline with strategic decision-making. Using a qualitative research approach, the study employs textual analysis, case studies, and expert interviews to examine how cultural leaders can draw insights from Rao’s artistic and philosophical contributions. Findings indicate that Rao’s leadership model offers a sustainable approach for cultural institutions, fostering innovation while maintaining historical authenticity. His philosophy underscores the importance of long-term vision, adaptability, and intellectual perseverance in leadership roles. The study contributes to the growing discourse on non-Western leadership models, demonstrating that cultural management is not solely an administrative practice but an extension of artistic legacy preservation. Future research should explore comparative leadership models, empirical validation through quantitative methods, and applications in digital cultural management strategies. This study reaffirms the significance of artistic disciplines in leadership frameworks, highlighting their role in developing sustainable cultural institutions in a rapidly evolving global landscape.
Navigating Market Volatility: Analyzing the Influence of Oil Price Fluctuations on Stock Prices in the Saudi Arabian Mining Sector
Authors: Bengana Ismail , Mili Khaled , Brika Said Khalfa , Mehaouat Labidi , Cherbi Mohammed Lamine
Published: February 2025

This study utilizes panel data models to thoroughly examine the intricate relationship between oil price fluctuations and stock prices within the Saudi financial market across 15 distinct sectors. The research unveils a nuanced under-standing of the long-term negative impact between oil prices and Saudi stock prices. Employing robust causality and co-integration tests, the study establishes a durable equilibrium relationship with bidirectional influences between these variables. These findings carry actionable insights, providing valuable guidance for investors, policymakers, and financial market stakeholders to navigate the complexities of the Saudi Arabian market dynamics.
Клиника, диагностика и лечение миастении
Authors: S
Published: February 2025

Миастения гравис – хроническое аутоиммунное заболевание нервно-мышечных синапсов, клиническим проявлением которого является мышечная слабость. Миастения поражает людей всех возрастов, но считается «болезнью молодых женщин и пожилых мужчин». Миастеническая слабость обычно поражает экстраокулярные, бульбарные мышцы или мышцы проксимальных отделов конечностей. В патогенезе заболевания важную роль играют антитела к рецепторам ацетилхолина и к мышечно-специфической тирозинкиназе. Основные принципы лечения заключаются в применении ингибиторов ацетилхолинэстеразы, глюкокортикостероидов, иммунодепрессантов, а также таких методов, как плазмаферез и тимэктомия
Диагностика и лечение тромбозов глубоких вен ниже паховой складки
Authors: D
Published: February 2025

Статья посвящена обзору литературы и современным аспектам введения больных с тромбозами глубоких вен нижних конечностей ниже пахово� складки. Проведен краткий анализ современных представлений о клинической картине, осложнениях, методах диагностики и лечения больных с данной патологией. Также рассмотрены методы хирургического лечения и профилактики тромбоэмболии ветвей легочной артерии
Risk Management as Practice
Authors: Ruiter Hendrik
Published: February 2025

Risk management within an organization is often perceived from the functionalistic view, understanding that risk management is a tool in humans hands. Opposing this view, a stream of research in the field of management accounting demonstrates that the functionalistic view of risk management is too limited to respond to changes in the external environment. In particular, this is relevant as many organizations in contemporary society have to face a background of unpredictable and dynamic complexities.
This also applies to network operator TenneT as this company has the responsibility to facilitate the secure electricity transmission against the background of the intended switch to the use of electricity from renewable sources like wind and sun. Given this background, the TenneT risk management practices to plan and prioritize investment projects come to the fore as open-ended in nature. This understanding is supportive to use risk management to explore novel risks.
This thesis foregrounds studying the risk management practices as an alternative research approach to perceiving the organization’s risk management as a systematic approach. Humans cannot determine or prescribe which practices and actions belong to the organization’s risk management and which do not.
Distributional note on Alternanthera pungens (Amaranthaceae)
Authors: Singh Ritesh , Dogra Kuldip , Ambrish Kumar , Meena Brajesh
Published: February 2025

This communication deals with the addition of Alternanthera pungens to the Flora of Himachal Pradesh from Nauni, Solan District. Field photographs and detailed description are provided for easy identification.
Spatio-Temporal Analysis of Fire Outbreaks in Markets of Kano Metropolis, Kano State, Nigeria.
Authors: YUNUS Sulaiman
Published: February 2025

Recurrent fire outbreaks in marketplaces have been a major threat to commercial activities within Kanometropolis. This necessitated the need to examine the spatio-temporal pattern of the outbreaks in relation to the nature and importance of the markets with a view to mitigating its consequences for sustainable commercial development. Fire incidence records (1974-2017) comprising of incidence dates, time, year, location, causes and consequences was obtained from the Kano State Fire Service Department. Electronic and GPS surveying was conducted to determine the absolute locations for spatial and temporal analyses. The result from the spatial analysis indicated a clustered pattern of fire outbreaks within the major markets with Nearest Neighbor Ratio of 0.179. Temporally, there were more fire incidence recurrence (about 20.9%) and property damage between 2007and 2017, thereby making it the most devastating period of market fire outbreaks in Kano. Based on the nature of markets, the overall result depicted that mixed markets and single commodity market experienced 76.5% and 23.5% fire incidence respectively. This was attributed to the extent of commercial activities, the use of electricity, and the flammability of the products. The study thus recommends fire safety education and fire prevention practices throughout the markets for risk reduction and sustainable economic development.