bluuebunny/crossref_metadata_2025 huggingface dataset:
Quality of Village Administration Services Based on Electronic Government in Sipatana District, Gorontalo City
Authors: Laisa Lukman , Abdussamad Juriko , Tahopi Rustam
Published: January 2025

The study aims to analyze and describe (1) the quality of electronic government-based village administration services in Sipatana District, Gorontalo City. (2) factors that determine the quality of electronic government-based village administration services in Sipatana District, Gorontalo City. The research approach used is a qualitative method with a descriptive research method and the research procedure is carried out by observation and interviews with informants. The data analysis technique used is interactive analysis of the miles and huberman model. The results of the study show that (1) the quality of electronic government (e-Government)-based village administration services in Sipatana District aims to increase efficiency, transparency, and ease of access for the community. This system utilizes digital technology to support data management, public service delivery, and communication between the government and the community. E-Government-based services are expected to be able to meet quality standards such as tangible evidence, reliability, responsiveness, assurance, and empathy. This implementation provides a modern solution to various challenges in traditional administration services, such as long queues and complicated bureaucracy. However, its success requires adequate technological infrastructure support, competent workforce, and high responsiveness to public complaints. By optimizing e-Government, sub-districts in Sipatana District can increase public trust and satisfaction with government services. (2) The quality of e-Government-based administrative services in Sipatana District is influenced by three main factors, namely support, capacity, and value. Support factors include the provision of technological infrastructure, such as adequate hardware and software, and government policies that encourage system sustainability. Capacity factors include the capabilities of the technology used and the competence of human resources in operating the system and providing responsive and accurate services. Value factors emphasize the benefits felt by the community, such as efficiency, data security, and ease of access to administrative services. These three factors play an important role in determining the success of e-Government in optimally meeting community needs, increasing the efficiency of the administrative service process, and creating public trust in the sub-district government throughout Sipatana District, Gorontalo City.
Is artificial intelligence a trustworthy route navigation system for smart urban planning?
Authors: Kourtit Karima , Nijkamp Peter , Osth John , Turk Umut
Published: January 2025

In the age of smart or intelligent cities, the use of Artificial Intelligence (AI) presents a spectrum of new opportunities and challenges for both the research and policy community. The present study explores the intricate interplay between AI-generated content and actual choice spectra in urban planning. It focuses on the concept of 'city intelligence' and related AI concepts, underscoring the pivotal role of AI in addressing and understanding the quality of life in contemporary urban environments. As AI continues its transformative impact on communication and information systems in the realm of urban planning, this study brings to the forefront key insights into the challenges of validating AI-based information. Given the inherently subjective nature of AI-generated content, and its influential role in shaping user-perceived value, AI will most likely be a game changer catalyzing enhancements in the urban quality of life and inducing favorable urban developments. Additionally, the study also addresses the significance of the so-called 'Garbage-in Garbage-out' (GiGo) principle and 'Bullshit-in Bullshit out' (BiBo) principle in validating AI-generated content, and seeks to enhance our understanding of the spatial information landscape in urban planning by introducing the notion of an urban 'XXQ' performance production function.
Accessibility and Satisfaction by People with Disabilities in Public Transportation Terminal in Kaduna State Nigeria
Authors: Sani Sambo Zainab , Shah Muhammad Zaly , Fara Bayero Salih
Published: January 2025

Using people with disabilities (PWDs) in public transit motor park (MP) in Kaduna State, Nigeria, to demonstrate the level of service in all facilities. This research examines the experiences of marginalized PWDs and the influence on their lives and well-being. The study began with the distribution of questionnaires using a qualitative technique to determine PWDs’ perspectives on various amenities. This article first describes the challenges that people with disabilities face in the transit network (from physical to social), as well as the primarily negative emotions that these barriers elicit. The findings revealed that ramps, stores, and platforms produced the lowest value of all the studied facilities, while parking lots and staff services produced the highest values. As a result, on the numerous terminals evaluated, Kawo MP and Kachia MP provided better services, whereas Badarawa MP and Makarfi MP had the lowest ratings. The study then encouraged the development of problem-solving approaches to help PWDs overcome the limitations they experienced. Finally, this article outlines the consequences for the transportation system if such challenges are not addressed, as well as some long-term solutions such as redesigning with new features, government policy inclusions as a potential network element, and improvements to bus terminals.
The Role of Commercial Banks in Economic Development of Oman (A Case Study of Bank Muscat)
Authors: Ali Mohammed Jahangir
Published: January 2025

Introduction: This research paper examines the pivotal role commercial banks play in the economic development of Oman, with a specific focus on Bank Muscat, the largest bank in the Sultanate. The study explores the mechanisms through which Bank Muscat contributes to various sectors of the Omani economy, including small and medium-sized enterprises (SMEs), infrastructure development, and the financial stability of the nation and fostering economic diversification.

Purpose: The research aims to critically evaluate the contribution of commercial banks to economic development, with a focus on Oman. The primary purpose of this research is to evaluate the contributions of Bank Muscat to Oman’s economic development.

Research Methodology: The research methodology is explained in detail. The techniques are sampling, instruments, and tools for collecting data and analysis to derive meaningful insights. Data is collected from both primary and secondary sources. Primary data includes interviews with key stakeholders at Bank Muscat, while secondary data is obtained from financial reports.

Results/Findings: The Bank Muscat is a critical player in Oman’s economic development, significantly contributing to SME growth, economic diversification, and expanding investment in green finance. The findings are presented through descriptive methods, employing tables generated by SPSS. The study incorporates financial statement analysis and financial ratios to various aspects of the bank’s performance, including profitability and liquidity.

The research concludes that Bank Muscat has played a significant role in the economic development of Oman, financing SMEs, and promoting financial inclusion. The bank’s efforts align with the broader objectives of Oman’s Vision 2040, highlighting the importance of commercial banks in achieving sustainable economic growth
The Impact of Social Media Influence, Digital Payment Convenience, and Brand Equity on Impulse Purchase Behavior: A Structural Equation Modeling Approach
Authors: Hasim Muhammad Asyraf , Hassan Sallaudin , Said Mahiah
Published: January 2025

Impulse purchase behaviour has become a significant phenomenon driven by digital marketing and payment system advancements in contemporary consumer markets. This study examines the effects of social media influence, digital payment convenience, and brand equity on impulse purchase behaviour, with emotional states acting as mediators and perceived risk as moderators. A survey was conducted among 461 respondents in Johor, and data were analysed using structural equation modelling (SEM) in SmartPLS. The results show that social media influence and digital payment convenience significantly positively affect impulse purchase behaviour. Brand equity also positively influences impulse buying, emphasising the importance of trust and perceived value in consumer decisions. Additionally, emotional states were found to mediate these relationships partially. Perceived risk, however, negatively moderates the relationship between social media influence and impulse purchase behaviour, reducing the impact of social media on impulse purchases when risk perception is high. This study provides valuable insights into contemporary consumer behaviour. It offers practical recommendations for marketers to refine social media strategies, optimise payment systems, enhance brand equity, and mitigate perceived risks to foster impulse buying.
ANÁLISE JURÍDICA DA IMPLEMENTAÇÃO DO PREGÃO ELETRÔNICO NO MUNICÍPIO DE JARDIM DO SERIDÓ: AVANÇOS E DESAFIOS
Authors: Teixeira Dantas Andressa , Matos de Queiroz Ana Paula
Published: January 2025

Partindo da análise acerca da necessidade de transformação da administração pública, no que concerne a transparência e agilidade de suas ações, nota-se o quão essencial torna-se o uso de artifícios que possibilitem, constantemente, o desenvolvimento processual. Dessa forma, é de grande importância compreender os métodos que compõem as atividades utilizadas pela administração pública, a exemplo do meio licitatório da modalidade pregão, esse em sua forma eletrônica. Nessa perspectiva, o presente trabalho busca elucidar as vantagens atribuídas pela aplicabilidade do pregão eletrônico no momento de realização das compras públicas, voltando-se especialmente à sua análise no município de Jardim do Seridó-RN. Nesse contexto, busca-se elencar as principais contribuições decorrentes do seu uso no município citado anteriormente, dentre as quais é cabível destacar sua eficiência, celeridade e flexibilidade processual, redução burocrática e financeira, assim como maior transparência. A fundamentação teórica deste estudo baseou-se em uma revisão bibliográfica de obras relevantes de autores consagrados na área, como Niebuhr (2020) e Oliveira (2019). Além disso, foram consultadas legislações e matérias disponíveis em fontes online, com o intuito de proporcionar uma visão abrangente sobre o tema. No âmbito da pesquisa empírica, foram também incorporados os resultados obtidos por meio de entrevistas realizadas com os servidores que atuam no setor de licitações do município em questão. Sendo assim, identificado os resultados alcançados por essa modalidade, seja sua finalidade, adaptação e vantagens em seus aspectos de inovação e modernização para a administração pública e comércio local.
Achieving Successful Software Penetration Testing
Authors: Musa Doris , Markić Ivan
Published: January 2025

In today’s digital environment, where society faces cyber threats, security is a key component of any organization. Penetration testing is crucial in detecting and eliminating security weaknesses before real attackers can use them. In reality, software penetration testing mimics real-world attacks on software applications to detect vulnerabilities, i.e., security vulnerabilities that real attackers could exploit. The testing requires careful planning, precise performance, and a thorough analysis of the results. This paper deals with successful penetration testing, starting with the basic steps of planning and defining the scope of the test itself. An overview of all tools and techniques and the importance of choosing the right tools for penetration testing are presented. Penetration testing requires a continuous approach as threats and vulnerabilities evolve with technology development. Through regular testing and updates of security policies, organizations can ensure that their software systems are protected.
Software Security, Risk Assessment, Penetration Testing, Abuse Cases
Comparison of Childbirth Self-Efficacy Levels in Risky and Non-Risky Pregnancies
Authors: KOÇ Özlem , EJDER APAY Serap , SADE Gülüzar
Published: January 2025

Araştırma, riskli ve risksiz gebeliklerin doğum öz-yeterlik algılarını belirlemek amacıyla yapılmıştır.Araştırmanın örneklemini 15 Şubat 2017-30 Nisan 2017 tarihleri arasında Türkiye'nin doğusunda Erzurum’da bulunan doğum hastanesine doğum öncesi kontrol için gelen riskli ve risksiz gebeler oluşturmuştur. Araştırma verilerini toplamak için anket formu ve Doğum Öz-yeterlik Envanteri'nin (DÖE) kısa versiyonu kullanılmıştır. Verilerin kodlanması, istatistiksel analizi ve değerlendirilmesinde SPSS 20.0 istatistik paket programı kullanılmıştır. Riskli gebelerin; Ölçeğin Sonuç Beklentisi alt ölçeği puan ortalaması 110.04 ± 24.31, Yeterlilik Beklenti alt ölçeği puan ortalaması 87.91 ± 22.52 ve ölçeğin toplam puan ortalaması 197.96 ± 32.60'dır. Risksiz gebelerin; Sonuç Beklentisi alt ölçeği puan ortalaması 115.71 ± 25.23, Yeterlilik Beklentisi alt ölçeği puan ortalaması 93.43 ± 21.55 ve ölçeğin toplam puan ortalaması 209.14 ± 38.00'dir. Gebelerin DÖE'den aldıkları puan ortalamaları karşılaştırıldığında; tüm alt boyut puan ortalamaları ile DÖE toplam puan ortalamaları arasındaki farkın gruplar arasında istatistiksel olarak anlamlı olduğu bulunmuştur (p<0.05). Riskli ve risksiz gebelerin doğum özyeterlilik seviyeleri birbirinden farklıdır. Riskli gebelerin doğum özyeterlilik seviyeleri risksiz gebelerin doğum özyeterlilik seviyesinden daha düşüktür
Oetker bläst Suche nach Investoren ab
Authors: Schulz Hans-Jürgen , Tewes Werner , Hebben Miriam , Brändlein Philip , Brück Mario
Published: January 2025

Oetker muss Flaschenpost allein durchbringen. Nach LZ-Informationen hat der Konzern die Suche nach Co-Investoren für seinen Online-Lieferdienst fürs Erste ad acta gelegt. Verantwortlich dafür soll nicht nur das ungünstige Marktumfeld, sondern auch die Performance der Tochter sein.
Francap schließt sich EMD an
Authors: Stockburger Manfred
Published: January 2025

EMD verstärkt sich im Kerngeschäft Eigenmarke. Der französische Händlerverbund Francap steht für einen Außenumsatz von 3,5 Mrd. Euro. Im Markengeschäft allerdings ist Francap bereits mit einer anderen Gruppe verbandelt.
Frisches Grün statt Nahrungsergänzung
Authors: Krönert Alrun
Published: January 2025

Das auf den Anbau von Mini-Gemüse durch Endverbraucher spezialisierte Ernährungs-Startup Ingarden hat sich die Unterstützung von Gemüsering Stuttgart gesichert und kann nun seine Pläne vorantreiben.
Oberleitungs-Lkw rollen aus
Authors: Bökamp Lena
Published: January 2025

Die Pilotphase der Oberleitungs-Lkw in Deutschland ist seit Jahresbeginn beendet. Ein endgültiges Fazit sowie die Zukunft der E-Highways sind noch offen.
Exploring the Synergy between Appropriate Technology and Entrepreneurship in Islamic Community Development: A Bibliometric Analysis
Authors: Mushthafa Abdillah , Syamsi Atikah , Udin Tamsik
Published: January 2025

The rapid advancement of technology has profoundly influenced socio-economic dynamics, particularly within Islamic societies. This study explores the relationship between appropriate technology, entrepreneurship, and Islamic community development through a bibliometric analysis. Utilizing Publish or Perish and VOSviewer, 600 articles published between 2019 and 2024 were analyzed to identify trends, key themes, and research opportunities.

The findings reveal that entrepreneurship plays a crucial role in Islamic community development, driven by principles of self-reliance and collective welfare rooted in Islamic teachings. Appropriate technology emerges as an enabler of sustainable solutions tailored to local needs, promoting inclusivity and effectiveness. Furthermore, the analysis highlights the transformative impact of the COVID-19 pandemic, which accelerated the adoption of digital solutions and emphasized the importance of resilience in Islamic finance.

Overlay and density visualizations provide additional insights, identifying emerging themes such as the integration of Islamic finance with technology and the application of innovative solutions in rural contexts. These findings underline the importance of aligning technological advancements and entrepreneurial practices with Islamic values to foster sustainable and inclusive development. This study offers actionable insights for researchers, policymakers, and practitioners seeking to address socio-economic challenges within Islamic communities.
Disruptions In the Modern Economy and Their Consequences On The Functioning of Supply Chains
Authors: SHANDRIVSKA Olena , PAWŁYSZYN Irena
Published: January 2025

Disruptions such as pandemics, geopolitical conflicts, or natural disasters can severely disrupt supply chains, causing delays and shortages. It can lead to destabilization of economies, price increases, and disruptions in the availability of key products worldwide. Therefore, identifying the dimensions of supply chain transformation in times of disruption is seen as an important economic challenge due to the growing threats to the economic security of countries and, in particular, their logistics sectors. The objective of the article is to identify the main disruptions that destabilize global supply chains and supply chains in Ukraine, investigate the nature of disruptions and structure them. The chosen disruptions are the spread of the COVID-2019 pandemic, the RF war in Ukraine, the anticipation of a global food crisis, and inflationary expectations. To achieve the goal general scientific and special methods were used, in particular, a bibliometric analysis, dialectical and abstract-logical methods to generalize the theoretical and methodological foundations of the functioning of the world economy and its reflection in the functioning of global supply chains and the Ukrainian logistics sector under the influence of various types of disruptions. The analysis carried out presents in detail the challenges supply chains are currently facing, the adaptation mechanisms necessary to overcome or reduce the impact of disruptions in relation to supply chains, and the tasks logistics should meet in the context of individual disruptions. The research indicates the need to transform one of the most important links in the economy, which are transportation systems and supply chains.
Tropical upper-tropospheric trends in ozone and carbon monoxide (2005–2020): observational and model results
Authors: Froidevaux Lucien , Kinnison Douglas E. , Gaubert Benjamin , Schwartz Michael J. , Livesey Nathaniel J. , Read William G. , Bardeen Charles G. , Ziemke Jerry R. , Fuller Ryan A.
Published: January 2025

Abstract. We analyze tropical ozone (O3) and carbon monoxide (CO) distributions in the upper troposphere (UT) for 2005–2020 using Aura Microwave Limb Sounder (MLS) observations and simulations from the Whole Atmosphere Community Climate Model (WACCM) and two variants of the Community Atmosphere Model with Chemistry (CAM-chem), with each variant using different anthropogenic CO emissions. Trends and variability diagnostics are obtained from multiple linear regression. The MLS zonal mean O3 UT trend for 20° S–20° N is +0.39 ± 0.28 % yr−1; the WACCM and CAM-chem simulations yield similar trends, although the WACCM result is somewhat smaller. Our analyses of gridded MLS data yield positive O3 trends (up to 1.4 % yr−1) over Indonesia and east of that region, as well as over Africa and the Atlantic. These positive mapped O3 trends are generally captured by the simulations but in a more muted way. We find broad similarities (and some differences) between mapped MLS UT O3 trends and corresponding mapped trends of tropospheric column ozone. The MLS zonal mean CO UT trend for 20° S–20° N is −0.25 ± 0.30 % yr−1, while the corresponding CAM-chem trend is 0.0 ± 0.14 % yr−1 when anthropogenic emissions are taken from the Community Emissions Data System (CEDS) version 2. The CAM-chem simulation driven by CAMS-GLOB-ANTv5 emissions yields a tropical mean CO UT trend of 0.22 ± 0.19 % yr−1, in contrast to the slightly negative MLS CO trend. Previously published analyses of total column CO data have shown negative trends. Our tropical composition trend results contribute to continuing international assessments of tropospheric evolution.
Two proatlas manifestations (processus condylicus posterior and condylus occipitalis tertius) in a historical male skull – a case report
Authors:   Institute of Anatomy, Brandenburg Medical School, D-16816, Neuruppin, Germany, Schumann Sven , Storsberg Silke D. ,   Institute of Anatomy, Brandenburg Medical School, D-16816, Neuruppin, Germany
Published: January 2025

Anatomical variations of skull base and craniocervical junction are of high clinical interest. Here, we describe the rare case of a combination of an anterior and a posterior proatlas manifestation in a West-European male. Posterolateral to the left occipital condyle we observed an irregular shaped posterior condylar process (processus condylicus posterior). Additionally, a median (or third) occipital condyle (condylus occipitalis tertius) at the anterior circumference of the foramen magnum was present. Clinically, proatlas manifestations may mimic fractures or tumors of the occipital bone, can lead to compression of surrounding structures, and might alter biomechanical properties of the craniocervical junction, potentially leading to neck pain in patients.
Implementation of Simple Exponential Smoothing and Weighted Moving Average in Predicting Netflix Stock Prices
Authors: Sadewa Bima , Safwandi Safwandi , Fajriana Fajriana
Published: January 2025

This study aims to develop a stock price prediction system for Netflix using the Simple Exponential Smoothing and Weighted Moving Average methods and evaluate the accuracy of both methods. The system provides future stock price estimates based on historical data and includes evaluation metrics such as Mean Absolute Error and Mean Absolute Percentage Error. The implementation results show that SES achieved an MAE of 4.40 and a MAPE of 1.08%, while WMA resulted in an MAE of 8.65 and a MAPE of 2.11%. These findings indicate that SES is more effective in predicting stock prices with lower error rates, particularly for stable historical data. In contrast, WMA is more responsive to short-term trends but less accurate overall. Based on the results, SES is recommended as the developed system's primary method for stock price prediction.
Supporting Application Fast Learning of Kitab Kuning for Santri' Ula Using Natural Language Processing Methods
Authors: Zaman Qamaruz , Safwandi Safwandi , Fajriana Fajriana
Published: January 2025

Education in Islamic boarding schools is one of Indonesia's traditional forms of education that teaches Islamic religious teachings, including studying the yellow classic books as the primary source of spiritual learning. However, learning the Yellow classic book is often complicated by 'ula students (early level students) because Arabic is without harakat or lines, and the material studied is very complex. To overcome these challenges, this research aims to develop a yellow Islamic classic book learning support application for 'ula students using the Natural Language Processing (NLP) method. This application has an interactive chatbot feature that helps students understand the contents of the yellow book more effectively and enjoyably. The research method includes literature study, data collection, data processing, and system development using the Sparse Categorical Cross Entropy algorithm in Natural Language Processing to improve the accuracy of chatbot responses. This application provides an innovative solution by presenting an interactive learning experience that can be accessed anytime and anywhere, thus facilitating Santri learning outside the boarding school environment. The results show that learning for 'ula students with the Natural Language Processing method is very good and easy to understand. The test shows that the accuracy of the application reaches 100% with a low error value (loss), which is 0%. It can be recognized that the effectiveness of Natural Language Processing in supporting yellow book learning, maintaining the tradition of Islamic education in the digital era, and helping teachers and parents monitor the development of students.
Herbal Plant Leaves Classification Using Convolutional Neural Network Models: A Literature Review
Authors: Fauzi Alfharizky , Haryatmi Emy , Riyadi Tri Agus , Murniyati Murniyati
Published: January 2025

Plants are essential to human beings because plants are considered most as foods. Plants can be used for food ingredients, medical purposes, and industrial applications. People inspect plants using traditional methods, such as using the naked eye, which can be time-consuming and expensive. Therefore, the effectiveness and high quality of automated crop identification classification systems are needed for adequate crop protection. This study aims to identify and classify nine plant species using different datasets, focusing on transfer learning from models trained on plant leaf datasets. Most research has shown that increasing the dataset size would significantly improve classification accuracy. The accuracy of the first test using the modified N1 classification model was 99.45%. In the second experiment, the accuracy of the N2 model was 99.65%. The accuracy of the N3 model, despite being slightly less accurate than AlexNet, was 99.55%, and it performed better, while the accuracy of AlexNet was 99.73%. Compared to the AlexNet model, the proposed model performed better and required less training time. The N1 model reduced the training time by 34.58%, the N2 model by 18.25%, and the N3 model by 20.23%. The N1 and N3 resulted in the same size, namely 14.8MB, and the compactness was 92.67%. The size of the N2 model was 29.7MB, and the compactness was 85.29% compactness. The proposed models provide more accuracy and efficiency in classifying plant leaves and can be used as a standalone mobile application that benefits farmers.
Sustainability Reporting and Assurance: The Role of Auditors in Verifying Corporate Environmental and Social Performance
Authors: Pranjal Rawat
Published: January 2025

Sustainability reporting has become one of the requirements of organizations, especially in the growing concern of the company’s responsibility towards the environment and society, which plays the role of a fundamental tool for comprehensive disclosure of the ESG performance. This paper examines the increasing description and involvement of auditors with regard to the assurance of sustainability reports, highlighting the value that they bring to the process and objective of increasing the reliability, trustworthiness, and stewardship of sustainability information. The research looks into the procedures followed by the auditors in the processes of confirming environmental and social performance indicators, the rules governing assurance activities, and the difficulties encountered in striving for global comparability of performance reporting. Besides, it looks at the role of third-party assurance in enhancing investor trust, reducing the phenomenon of greenwashing, and pursuing sustainable organizational objectives in the long run. Examples and findings of existing literature and research with respect to superior benchmarks and novel phenomena in sustainability assurance are discussed in this paper. As such, the research reinforces the call for sustainability assurance to be central to conventional auditing frameworks and for the enablement of greater interaction between auditors, legal bodies and corporations in order to deliver robust and measurable ESG performances.
Predicting Supply Chain Fraud with Artificial Intelligence and Machine Learning Models: Enhancing Operational Security and Integrity
Authors: Mohd. Asif Gandhi
Published: January 2025

Companies are under increasing pressure to discover novel approaches to optimizing efficiency and reducing costs as a result of the growing complexity of supply networks. The use of machine learning (ML) and artificial intelligence (AI) in supply chain management is one area that has witnessed significant growth in recent years. This proposed uses AI and machine learning techniques to foretell instances of supply chain fraud. Actual company transactions provided the supply chain data used in this project. It turns out that AI and ML classifiers were very good at predicting fraud in the supply chain. Specifically, after looking at all performance metrics, the AI model emerged as the top predictor. According to these findings, AI has the potential to be an effective weapon in the fight against supply chain fraud. When it comes to analysing large datasets, ML and AI classifiers can find patterns that humans might miss. This paper's findings can be applied to optimize supply chain management (SCM) and to anticipate fraudulent transactions. Machine learning and artificial intelligence classifiers may change supply chain management for the better, but they are still in their infancy.
The differential long-term and short-term impacts of risk factors on
stock returns of financial holdings and traditional banks
Authors: Chia-Hsing Chen Chia-Hsing Chen , Chia-Hsing Chen Yeong-Jia Goo
Published: January 2025

This study investigates the differential short-term and long-term impacts of macroeconomic risk factors, specifically interest rate, exchange rate, and credit risk, on the stock returns of financial holding companies and traditional banks in Taiwan. Utilizing a Transfer Function-Noise (TFN) model and numerical analysis methods, we analyze monthly data from 2000 to 2023. To address the challenge of directly testing long-term effects involving ratio distributions, this study proposes a novel bootstrapping procedure to re-generate the multivariate probability distribution of polynomial ratios, enabling statistical testing of long-term coefficients. Outlier detection techniques are employed to mitigate bias. Our findings reveal significant heterogeneity in short term responses to these risk factors across institutions, with financial holdings exhibiting greater sensitivity. Long-term effects, however, show convergence, suggesting similar risk management strategies over time. These insights have important implications for investment strategies, risk management practices, and financial policy formulation.

 
Critical Success Factors in Building the Immersed Tunnel and Making it a Dynamic Factor for Maritime Trade and an International Development Route
Authors: Karem Jamal Abdu Alsalam , AL_ali Mohamed Alwan Malpis
Published: January 2025

In conclusion, the study aimed to identify the critical success factors in the construction of the immersed tunnel and make it a dynamic factor for maritime trade and an international development path. The current study relied on the descriptive analytical approach by designing an electronic questionnaire and distributing it to a sample of 100 employees working in the port of Faw in Iraq. The data were collected and analyzed using the SPSS program and the results were extracted. The study concluded that the tunnel design takes into account environmental aspects to ensure sustainability. The project also relies on the latest engineering technologies in design and construction. The project plans also include accurate economic feasibility studies. The project is being implemented according to an accurate timetable, and sufficient human resources are available to implement the project. The necessary funding for the project is also adequately allocated, and the budget is regularly updated based on developments in the project. In terms of safety and quality, workers receive the necessary training on safety procedures, and periodic inspections are conducted to ensure that the project adheres to quality standards. In terms of the economic and social impact, the project will contribute to increasing commercial activity in the region, and then the project will provide new job opportunities for members of the local community.
Development of a novel plant-based flowable sand concrete containing pretreated date seed as renewable aggregates
Authors: Hamraoui Somia , Boukhelkhal Djamila , Guendouz Mohamed , Abdennebi Besma , Fortas Amira
Published: January 2025

The world is currently witnessing a rapid growth in both urban and civilizational development, which is accompanied by excessive exploitation of non-renewable resources as well as energy consumed in construction and achieving good thermal insulation to ensure user comfort (heating and cooling). Therefore, it is necessary to shift towards innovative and renewable mallow environmental impact. In this paper, the effect of date seed (DS) as a fine lightweight aggregate on the performance of a new flowable sand concrete (FSC) was studied. For this, three sets of FSC were produced by replacing 10, 20, 30, 40, and 50% of natural sand (NS) with DS in volume. For the first set, untreated DS (UDS) were used; for the second set, pre-treated DS using 5% NaOH as an alkaline solution (NDS) were used; and for the third set, cement grout with w/c: 1.25 was used as pre-treatment for recycled DS aggregate (CDS). The properties of different FSC were investigated by the fresh density, compressive strength, and thermal properties. The results of this study showed that the replacement of NS with DS as fine aggregates significantly reduced the compressive strength values compared to the control FSC. However, by both alkaline processors pre-treatment, the compressive strength values were slightly improved. In addition, replacing NS with DS aggregate has significantly improved the thermal properties of FSC. With up to 20% DS (with or without pretreatment) replacing NS, insulating lightweight FSC can be obtained.
A contribuição dos cursos de educação continuada em enfermagem na modalidade a distância para o aprimoramento do conhecimento em um hospital público de São Paulo
Authors: Pereira Amanda Barbosa Monteiro Vasques , Pacheco Andréia Nunes de Barros , Moura Cassia Sampaio , Campos Fernanda Júlio Barbosa
Published: January 2025

O Hospital do Servidor Público Municipal de São Paulo promoveu, entre 2022 e 2024, cursos na modalidade de ensino à distância (EAD), abordando temas essenciais para a qualidade das práticas na área da saúde. Este estudo avaliou o impacto de conhecimento dos cursos de curta duração em formato EAD pela equipe de enfermagem. A pesquisa utilizou uma abordagem quantitativa, transversal, de caráter exploratório e descritivo, envolvendo auxiliares, técnicos de enfermagem e enfermeiros que atuam na assistência hospitalar. Para a coleta de dados, foi analisado o aprendizado em cada curso, comparando os níveis de conhecimento antes e após a conclusão dos conteúdos. Os resultados indicaram uma média de 17% de melhoria no desempenho em relação aos temas envolvidos no EAD. O estudo conclui que a modalidade EAD é eficaz para a assimilação de conhecimentos pela equipe de enfermagem, ressaltando a necessidade de outras pesquisas para aprofundar o tema abordado, que é de grande relevância.
Pemasaran Online Bagi Anggota Kelompok Wanita Tani (KWT) Tunas Asri Trimurti Srandakan Bantul Yogyakarta
Authors: Sarjita Sarjita , Cahyono Edi , Hastuti Listyawati Indri
Published: January 2025

Pengabdian masyarakat ini bertujuan untuk memberdayakan anggota Kelompok Wanita Tani (KWT) Tunas Asri di Trimurti, Srandakan, Bantul, Yogyakarta melalui strategi pemasaran online. KWT Tunas Asri, yang mayoritas anggotanya adalah petani perempuan, memerlukan peningkatan kemampuan dalam memanfaatkan teknologi informasi untuk memasarkan produk pertanian mereka secara lebih luas dan efektif. Kegiatan ini meliputi pelatihan dan pendampingan dalam penggunaan platform e-commerce, media sosial, dan teknik digital marketing lainnya.
Metode yang digunakan adalah pendekatan partisipatif melalui workshop, diskusi, dan praktek langsung. Hasil kegiatan menunjukkan peningkatan pemahaman dan keterampilan anggota KWT dalam menggunakan teknologi digital untuk pemasaran, serta peningkatan penjualan produk pertanian. Evaluasi dilakukan melalui kuesioner dan wawancara untuk mengukur dampak dari pelatihan ini terhadap pengetahuan dan praktik pemasaran online anggota KWT. Kegiatan ini diharapkan dapat meningkatkan kemandirian ekonomi anggota KWT Tunas Asri dan memberikan kontribusi positif bagi perekonomian lokal.
Membangun Ketahanan Ekonomi Masyarakat
Authors: Nurhayati Siti
Published: January 2025

Pengabdian kepada Masyarakat dengan tema "Membangun Ketahanan Ekonomi Masyarakat Melalui Manajemen Keuangan Keluarga" bertujuan untuk meningkatkan kapasitas masyarakat dalam mengelola keuangan keluarga. Kegiatan ini dilaksanakan melalui pelatihan yang mencakup perencanaan keuangan, pengelolaan pendapatan dan pengeluaran, serta strategi menabung dan berinvestasi. Hasil pelatihan menunjukkan adanya peningkatan pengetahuan dan keterampilan peserta dalam manajemen keuangan keluarga. Dampak positif terlihat dari perubahan perilaku ekonomi peserta yang lebih terstruktur dan terencana. Meskipun menghadapi beberapa tantangan, solusi yang diterapkan berhasil meningkatkan partisipasi dan keberhasilan program. Implikasi dari program ini tidak hanya berdampak pada ekonomi keluarga, tetapi juga memperkuat aspek sosial dan pengetahuan masyarakat.
 
Kata Kunci: Manajemen keuangan keluarga, ketahanan ekonomi, pengabdian kepada masyarakat, peningkatan kapasitas, pelatihan keuangan, perencanaan keuangan, dampak ekonomi, keberlanjutan program.
Membangun Minat Berwirausaha Dalam Upaya Meningkatkan Efektivitas Pemberdayaan Ekonomi Keluarga Di Dusun Dungsuru, Pilangrejo, Nglipar, Gunungkidul, Yogyakarta
Authors: Zufriah Deniyati
Published: January 2025

Tujuan dari program pengabdian kepada masyarakat ini adalah untuk membangun minat berwirausaha dalam upaya meningkatkan efektivitas pemberdayaan ekonomi keluarga di Dusun Dungsuru, Pilangrejo, Nglipar, Gunungkidul, Yogyakarta. Kegiatan ini dilakukan dengan memberikan pelatihan dan pendampingan intensif kepada warga setempat mengenai konsep dasar kewirausahaan, strategi pengembangan usaha, serta teknik pemasaran yang efektif. Program ini juga melibatkan simulasi bisnis dan studi kasus untuk memberikan pemahaman praktis kepada peserta.
Hasil dari kegiatan ini menunjukkan adanya peningkatan minat dan keterampilan berwirausaha di kalangan peserta. Sebagian besar peserta mulai merintis usaha kecil-kecilan yang memanfaatkan sumber daya lokal. Selain itu, terdapat peningkatan pendapatan keluarga yang signifikan sebagai dampak dari usaha yang dijalankan. Keberhasilan program ini diharapkan dapat menjadi model pemberdayaan ekonomi keluarga yang dapat diterapkan di daerah lain dengan karakteristik serupa..
 
Kata kunci: Wirausaha, Pemberdayaan Ekonomi, Minat
Aspects of Stable Polylexical Units with Extralinguistic Motivation of Historical Provenance
Authors: Savin-Zgardan Angela
Published: January 2025

Stable expressions of foreign origin are considered common for many languages. General stable polylexical units (SPUs) are classified as those that entered the language through learned pathways: biblical, mythological, or based on historical realities, the latter being the focus of this study. Initially, SPUs emerged as denominative or connotative language units, allowing speakers to express attitudes toward specific events in the surrounding world. Over time, as languages evolved, some SPUs remained motivated, with components retaining their original meanings. Other SPUs, initially motivated, became demotivated, losing their connection to the original phenomenon they described. Regarding historical phraseological units,, we can often state that they have lost their original motivation, with their meaning now understood primarily by educated individuals or those with specialized knowledge in etymology and history.
Thruthconditional Character of the Utterance - the Semantic Default and Post-Semantic Pragmatics
Authors: Petrea Galina
Published: January 2025

The research objective for the present article is to explore the landscape of theories related to the semantic vericonditional aspect, which is a basic feature of the utterance. Collecting the theoretical kit in order to aggregate the relevant conceptual framework will allow us to operationalize and apply them in the architecture of the theoretical interpretative process as well as in the analysis of the subject of interest: parliamentary discourse - a subspecies of political discourse. The given investigation proceeds from the establishment of a conceptual framework, a delimitation of the distinctions between semantics and pragmatics, the complex phrase being the fundamental unit of syntax and formal semantics with vericonditional compositional content that needs to be saturated with meaning - the default interpretation. The utterance, the unit of discourse mobilizes all contextual information, resolves the ambiguities of lexical semantics - disambiguates the elements with the scalar palette of meaning - generalized common ground implicature but also arising from the context taking into account the principle of consistency and relevance. The level of postpragmatic, particularized implicature are subjects of preferred interpretation and do not depend on the content of the concrete utterance in context. In the case study examples, they concern loyalty to the homeland, ideology and party affiliation, dismantling right-wing extremist-radicalist tendencies, hack-ing the anti-Semitic concept and using the term as a weapon for different situations and contexts. The article is informed by several evolved key works on pragmatist theories including formal semantic minimalism theory, semantic underdetermination theory, cognitivist relevance theory, scalarity of meaning theory, and factorization theory. All of these theories bring their contribution to the theoretical understanding and pragmatic analysis of sophisticated public discourse.
The Status of Sports Terms Created through Semantic Specialization
Authors: Luca Aliona
Published: January 2025

This paper is focused on the analysis of the lexico-semantic specialization process of the words meaning from the common language in the process of forming Romanian sports terms. Thus, the novelty of the paper is determined by the need to highlight the status of the terminological units in the sports language formed by specialization of meaning and to describe the semantic peculiarities of the sports terms thus formed. For this purpose, the semantic changes occurring in the process of forming sports terms by the above-mentioned process were depicted. The selected vocabulary units have been analyzed both as elements of the lexical system of the Romanian language and from the point of their functionality view in the common language and in sports speech. Based on the method of componential analysis and contextual analysis, the status of vocabulary units created by semantic specialization as terms was shown. It was also found that the differential meanings are related to the field of use (sport), destination, purpose, action agent etc.
Percussion Instruments Treatment in the Swing Style: Performing Aspects
Authors: Moiseev Petru
Published: January 2025

The purpose of this article is to analyze the contribution of the most representative drummers who formed methods of performing percussion instruments in the practice of American big-bands of the swing era.The author highlights the innovations introduced by the most representative percussionists from the swing era – Chick Webb, Gene Krupa, Sonny Greer, Louie Bellson, Baddy Rich. In order to determine the basic features of swing style, the most important characteristics of the swing are revealed, the changes appeared in big band treatment, specific interpretation tools like section playing or riffs technique are presented. Author also studies the influence of most prominent drummers of swing era upon the repertoire of the most famous big-bands of the time: Duke Ellington Famous orchestra, Count Basie Orchestra, Fletcher Henderson Orchestra as well as Chick Webb Orchestra, and Jimmie Lunceford Orchestra. Some observations regarding the difference of traditional jazz and classic jazz performing tools are formulated. In conclusion the innovative percussion methods and tools of swing era are generalized.
A REVIEW OF CURRENT TREND IN INDOOR PEDESTRIAN NAVIGATION
Authors: Khairi N. S. M. , Rahman A.A. , Abdulrahim Khairi bin
Published: January 2025

Indoor pedestrian navigation systems have become indispensable in modern times, facilitating efficient navigation through complex indoor environments such as malls and airports. Traditional GPS technology falls short in these settings due to signal blockage and reflections, leading to the emergence of indoor positioning systems (IPS). Leveraging technologies like Bluetooth beacons, Wi-Fi triangulation, and ultra-wideband signals, IPS provides precise real-time navigation within buildings. Augmented reality (AR) and virtual reality (VR) further enhance the indoor navigation experience, offering visual cues and pre-navigation simulations. Despite challenges such as precise mapping and signal interference, the adoption of indoor navigation technologies has increased, driven by the demand for better user experiences. This abstract explores the methods, technologies, and challenges associated with indoor pedestrian navigation, providing insights into current trends and future developments.
Advances in Full-Stack Development Frameworks: A Comprehensive Review of Security and Compliance Models
Authors: Kamau Eunice , Myllynen Teemu , Collins Anuoluwapo , Babatunde Gideon Opeyemi , Alabi Abidemi Adeleye
Published: January 2025

The evolution of full-stack development frameworks has revolutionized the software development landscape, enabling seamless integration of front-end and back-end functionalities. With increasing reliance on web and mobile applications, security and compliance have become critical focal points in framework design and implementation. This review examines advances in full-stack development frameworks, emphasizing their security and compliance models to address modern-day challenges such as data breaches, unauthorized access, and regulatory non-compliance. The study explores prominent full-stack frameworks, including MEAN (MongoDB, Express.js, Angular, Node.js), MERN (MongoDB, Express.js, React, Node.js), and Django, highlighting their inherent security features. These include robust authentication mechanisms, encryption protocols, and defense against common threats such as SQL injection, cross-site scripting (XSS), and cross-site request forgery (CSRF). Furthermore, the review delves into compliance models embedded within these frameworks, focusing on their adaptability to global standards like GDPR, HIPAA, and PCI DSS, which govern data privacy and security. Emerging trends such as the integration of artificial intelligence (AI) for anomaly detection, serverless architecture for reducing attack surfaces, and blockchain for enhancing data integrity are also discussed. The adoption of DevSecOps practices in full-stack frameworks has further streamlined the embedding of security measures during the development lifecycle, mitigating risks proactively. This comprehensive review identifies gaps in current frameworks, such as limited support for real-time compliance auditing and challenges in scaling security measures for large-scale applications. Recommendations for future research include enhancing framework modularity to incorporate evolving security technologies, leveraging AI for predictive threat modeling, and ensuring compatibility with emerging compliance mandates. By presenting a thorough analysis of existing and emerging security and compliance paradigms, this review serves as a valuable resource for developers, researchers, and organizations aiming to enhance the reliability and trustworthiness of full-stack applications in an increasingly digital and regulated environment.