bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effectiviness Of Developing Students' Vocabulary Through Watching Animation Movie
Authors: Wijaya Putri Bernika , Sutopo Anam
Published: November 2024

Movies have become one of the most effective learning media in learning English, especially in Indonesia. Watching animated films can enhance students' language knowledge, speaking proficiency, and listening comprehension. This study aims at the effectiveness of developing students’ vocabulary acquisition through watching animation movie The Monkey and The Crocodile. This research uses qualitative methods with a narrative research design. This research will explore how students develop knowledge acquisition through animated films. Therefore, researchers use narrative research methods. The source of this research is all grade seventh students at SMP 1 Siwalan in 2024/2025 academic year. The students consist of 15 male and 16 female. The data analysis was obtained by a Thematic Analysis. Braun and Clarke (2006) outlined a set of theme-building procedures for the social sciences, but thematic analysis remains a loosely defined practice with many varied applications across fields of study and a “range of theoretical and epistemological approaches,” such as case study and ethnography. Interview, observation, and documentation were used in collecting the data. The finding shows that a clear improvement in students' vocabulary skills, with the average score increasing to 85.43, which is considered very good. This increase in score indicates that the use of animated films not only helps students master new vocabulary more easily, but also increases their confidence in using the vocabulary in communication. In addition, students also appear more enthusiastic and active in asking questions, discussing, and using the vocabulary they learned during the lesson
The Impact of Educational Information Systems on Learning Accessibility in Higher Education
Authors: Munthe Rusli Ginting , Abbas Maulana , Fernandez Rico , Ulita Novena
Published: November 2024

This study explores the impact of educational information systems on enhancing learning accessibility in higher education, as digital tools increasingly become integral to academic support, and student engagement. The main objective is to assess how these systems improve access to learning resources and facilitate communication, particularly for students from diverse backgrounds and with varying educational needs. Using a mixed-methods approach, this research combines quantitative analysis of accessibility metrics with qualitative insights from surveys and interviews with students and faculty across different higher education institutions. The findings show that educational information systems significantly enhance learning accessibility by providing flexible access to resources, facilitating real-time feedback, and supporting personalized learning paths. These systems also improve student engagement by enabling convenient access to materials and fostering a collaborative learning environment that accommodates different learning styles. However, the study identifies several barriers, including gaps in digital literacy, usability challenges, and unequal access to the necessary infrastructure, which can limit the effectiveness of these systems in reaching all students equally. Additionally, concerns around data privacy and system complexity are noted as areas needing attention to build user trust and ensure smoother system integration. The study concludes that while educational information systems hold great promise for improving accessibility and inclusivity in higher education, addressing these barriers through targeted training, digital equity initiatives, and robust data protection policies is essential for maximizing their potential. These insights offer valuable guidance for educational institutions aiming to create more inclusive learning environments through strategic integration of educational information systems.
The impact of financial development on OFDI: Based on GMM estimates
Authors: Jingwen Li , Ni Soh Wei , Ashhari Zariyawati Mohd , Kamarudin Fakarudin
Published: November 2024

In this study, we use panel data from 2010 to 2019, covering a sample of 64 countries, including developing and developed economies. This study provides an in-depth exploration of the impact of financial development on foreign direct investment (OFDI) by applying four different estimation methods, namely hybrid ordinary least squares (OLS), fixed effects estimation, random effects estimation, and systematic generalized method of moments (GMM). Impact. Investors from the source country plan and conduct direct investments in foreign countries, representing the cross-border flow of direct investment (OFDI). We measure financial development through three indicators: economic growth scale, financial product structure composition, and financial development efficiency. Our results reveal a consistent positive relationship between all dimensions of financial development and OFDI. In addition, we introduce country-specific dummy variables to stratify the analysis between developing and developed countries. Our empirical results highlight the statistical significance of these dummy variables, indicating clear differences in OFDI patterns between the two categories of countries. On this basis, this article examines developing and developed countries, respectively, and draws different conclusions. This study reveals that the impact of financial development on OFDI is significantly different in developing and developed countries, and provides new evidence on the growth of OFDI in developing countries to support this theory. The findings of this study can better provide a reference for governments in developing countries to formulate policies.
Earnings management in state-owned enterprises in Indonesia
Authors: Wawo Andi , Mediaty  , Habbe Abdul Hamid , Syamsuddin
Published: November 2024

This research aims to examine the effect of bonus contracts that use financial and non-financial performance measures and examine the impact of implementing AKHLAK culture on earnings management in state-owned enterprises. In addition, this research aims to evaluate the effectiveness of implementing GCG in mitigating earnings management behaviour. To achieve the objectives of this research, we used a sample of 32 state-owned companies from 2017 to 2022 with a total of 178 data points. The analysis uses path examination to measure the influence between variables. We have found that Chief Executive Officer (CEO) career and culture negatively influence earnings management, whereas bonuses have no effect. We have also found that GCG moderates bonuses on earnings management but does not moderate CEO career and culture on earnings management. These findings have demonstrated that CEO bonus contracts based on financial and non-financial performance measures do not motivate CEOs to manage accrual earnings. The results of this research provide input for the government to increase the implementation of AKHLAK culture and appoint career directors in state-owned companies. The results of this research also provide empirical evidence that giving bonuses does not affect earnings management behaviour of the bonus contract is based on financial and non-financial performance. The results of this research are expected to provide advice to shareholders on how to use financial and non-financial measures in bonus contracts simultaneously.
A Comparative Study Assessing the Confidence of Doctors in Conventional vs Artificial Intelligence Assisted Radiological Diagnoses for Patient Care
Authors:   Department of Surgery - Ashford & St. Peters Hospitals NHS Foundation Trust, United Kingdom, Puzhakkal Ilfa Fida , Shah Shripal ,   Guy’s & St. Thomas’ NHS Foundation Trust, United Kingdom, Nair Supriya ,   Achwal Hospital, India, Patel Parth K. ,   OrthoGlobe, United Kingdom, George Abhina ,   Department of Surgery - Ashford & St. Peters Hospitals NHS Foundation Trust, United Kingdom, Adya Vidhi ,   University Hospital Coventry & Warwickshire NHS Foundation Trust, United Kingdom, Koumbem Arsene ,   African Institute of Public Health, Ouagadougou, Burkina Faso, Kanhangad Drishya ,   African Institute of Public Health, Ouagadougou, Burkina Faso
Published: November 2024

Introduction: The integration of Artificial Intelligence (AI) into radiology has shown promise in enhancing diagnostic accuracy
and efficiency, yet the confidence of doctors in AI-assisted diagnosis remains uncertain. AI's potential to streamline workflows
and detect complex abnormalities is widely acknowledged, but skepticism persists regarding its reliability and the potential disruption of traditional radiological practices. This study aims to assess global doctors' confidence in AI-assisted radiology and
explore factors influencing their acceptance of AI technologies.
Methods: This descriptive cross-sectional survey involved 384 doctors from diverse clinical settings worldwide. A self-administered questionnaire captured demographic data, confidence in AI versus conventional radiology, and perceptions of AI in
clinical practice. Data were analyzed using descriptive statistics.
Results: The majority of participants (66.7%) expressed higher confidence in conventional radiologist-led diagnoses compared
to AI-assisted interpretations. Confidence in AI tools averaged 5.35/10, with limited AI training (16.9%) and lack of trust (13%)
as the primary challenges. Participants with more experience reported greater confidence in interpreting radiographs independently and relied less on radiologists. Common challenges in conventional radiology included delays (35%) and limited
access to radiologists (26%). AI was seen as beneficial for routine cases but not yet trusted for complex diagnoses, with only
36.7% believing it will eventually surpass human expertise.
Conclusion: Doctors continue to favor conventional radiologist-led diagnostics over AI-assisted tools due to concerns about
trust, reliability, and insufficient training. While AI holds potential for improving diagnostic accuracy and reducing time constraints, widespread adoption requires overcoming significant barriers. Radiologists remain crucial in clinical decision-making,
and AI will likely serve as a supplementary tool until confidence in its capabilities improves.
UK Environmentally Sensitive Businesses SDG’s Disclosure in their Sustainability Reports, Websites and Social Media
Authors:   Senior Lecturer, London Metropolitan University, United Kingdom, Khan Shahbano , Hassan Kazmi Syed Faizan ,   Senior Lecturer, London Metropolitan University, United Kingdom
Published: November 2024

This study examines the relationship between financial investment, shareholder preference, corporate social responsibility
(CSR) performance and life satisfaction for BP and Shell within the UK, together with their alignment with specific
Sustainable Development Goals (SDGs). about, using regression analysis, in both projects Hypotheses were tested
to assess the significance of these predictors in the performance of CSR developed. The results showed that financial
investment, shareholder ownership, and social satisfaction did not significantly predict CSR performance for BP and
Shell. Furthermore, there were no significant differences in the impact of these predictors between the two companies.
Further research revealed Shell’s strong commitment to SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate
Action), with both initiatives drawing on Shell’s significant investments in renewable energy and climate recognition in
the management system established him as a leader in sustainable development efforts. BP’s goal of achieving net zero
emissions by 2050, especially focused on SDG 7 and SDG 12 (Responsible Consumption and Production), this proposal
was adopted comparing the two sectors, Shell showed significant advantages, which can be attributed to its diversified
capabilities and its strong alignment with the sustainability objectives of BP, while growing largely, it faces significant
financial challenges in its transition to clean energy. The study concludes that although both companies are committed to
sustainability, Shell now leads in terms of effective CSR and financial performance.
The Effect of Financial Innovation on Financial performance of Commercial Banks in Ethiopia: A Systematic Review (2015-2024)
Authors:   Department of Accounting and Finance, Ambo University, Ethiopia, Tade Buli , Mersha Deresse ,   Department of Public Financial Management and Accounting, Ethiopian Civil Service University, Ethiopia
Published: November 2024

The systematic review aims to systematically review the effect of financial innovation on the financial performance of
commercial banks in Ethiopia from 2015 to 2024. Utilizing the Preferred Reporting Items for Systematic Reviews and
Meta-Analyses (PRISMA) framework, the review meticulously identifies, screens, and selects relevant studies to provide
a comprehensive synthesis of existing literature. The study revealed that financial innovation (ATM, mobile banking,
internet banking and debit cards) are frequently explained and significantly influencing the financial performance of
commercial banks in Ethiopia. The findings reveal a growing but uneven interest in financial innovation research, with
a predominance of empirical studies and limited theoretical frameworks. The review highlights significant knowledge
gaps and suggests directions for future research to enhance understanding and application of financial innovations in
the Ethiopian banking sector.
Apocalyptic Proof of the Riemann Hypothesis with the Generating Function for Prime Numbers
Authors:   Institute of Geophysics, University of Tehran, Tehran, Iran, Jalali Koutanaei Mojtaba
Published: November 2024

The Riemann zeta function ζ(s) plays a crucial role in number theory and its applications such as cryptography. By utilizing the
implications of the hypothesis and the distribution of prime numbers, algorithms can be created using primes to send and receive
data with reliable security. The Riemann Hypothesis (RH) posits that zeros of ζ(s) other than the trivial ones are located on the
line defined by the equation Re(s) =1/2. This paper introduces a novel and straightforward proof of the Riemann Hypothesis.
The proof employs a standard method, utilizing the eta function in place of the zeta function, under the assumption that the real
part is greater than zero. The equation for the real and imaginary parts of the Riemann zeta function (eta function) is completely
separated. Initially, let ζ(s) = Reζ(s) + Imζ(s) with s = a + ib. The value of the real part is determined by solving the equation,
and the process is repeated for ζ(1 - s) identifying the potential roots shared by the two functions, a common value is obtained,
leading to a =1/2, which represents the real part of the main root of the function ζ(s). Using a standard method and with the help
of two functions ζ(s) and ζ(1-s), the real part of the root of the zeta function is obtained. To create a generator function for prime
numbers in terms of b, one can solve the root of the zeta function where it equals one (i.e., ζ(s) =1 ) and obtain a relationship
between b’ and prime numbers. Giving the value of zeta equal to one and s' = a' + ib’, similar to zeta equal to zero, the roots
are again placed on the 1/2 line. Then, by using the zeta function defined by multiplying prime numbers, we arrive at a new
meaningful relation between b’ and its corresponding prime number.
Enhanced Medical Analysis: Leveraging 3D Visualization and VR-AR Technology
Authors: Prabha Navaneeth , Ziyad Naeema , Prasad Navya , Abraham Jisha P , Paul T Pristy , T Paul Rini ,   Department of Computer Science Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, 686666, India
Published: November 2024

Modern healthcare depends heavily on medical imaging, but traditional 2D images frequently lack depth and detail. This
paper introduces a novel approach, that turns 2D medical images, such as X-rays, MRIs, and CT scans, into immersive
three-dimensional visualizations using virtual and augmented reality (VR/AR) technology. The process consists of four steps:
acquiring DICOM medical data, converting the data into 3D models, applying the rendering modes and slicing planes, and
deploying the data in VR/AR environments. Preprocessing methods evaluate and improve the quality of medical image data,
which is essential for precise analysis and is guided by mathematical formulas. Advanced techniques like alpha shapes and
Delaunay triangulation transform 2D medical images into realistic 3D models. Mesh fidelity and clarity are optimized by
surface reconstruction techniques, which are motivated by mathematical representations. The surface mesh is refined using
Laplacian smoothing and surface subdivision algorithms, which guarantee geometric accuracy and visual quality. Furthermore,
Hausdorff distance is used to evaluate the generated 3D models’ accuracy, guaranteeing fidelity and dependability in medical
visualization. This technology offers the potential to improve surgical planning accuracy, streamline medical education, and
foster deeper understanding by facilitating interactive exploration of intricate anatomical structures
Enhancing Landslide Prediction: A Comparative Study of Ensembled and Non-Ensembled Machine Learning Approaches with Dimensionality Reduction and Random Feature Selection to Showcase Entropy Management
Authors:   The University Of Poonch, Rawalakot, Azad Kashmir 12350 Pakistan, Abbas Adeel , Abbas Farkhanda ,   School of Computer Science, China University of Geosciences, Wuhan 430074, China, Abbas Fazila ,   Institute of Soil and Environmental Sciences, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan, Fahad Alrefaei Abdulwahed ,   Department of Zoology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia, Fahad Albeshr Mohammed ,   Department of Zoology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
Published: November 2024

This research looks at how well different ensembled and non-ensembled machine learning algorithms perform both before and after
dimensionality reduction and manual feature engineering using random feature selection. LightGBM, Extra Trees (EXT), XGBoost,
Gradient Boosting Machine (GBM), Random Forest (RF), Naive Bayes (NB), K-Nearest Neighbors (KNN), and Decision Tree (DT)
are among the algorithms that were assessed. With a computational time (CT) of 15.985 seconds prior to dimensionality reduction,
LightGBM obtained an AUC/ROC score of 0.833, whereas Extra Trees (EXT), XGBoost, and GBM each obtained AUC/ROC scores
of 0.832 with CTs of 15.892, 16.203, and 15.904 seconds, respectively. While Random Forest (RF), Naive Bayes (NB), K-Nearest
Neighbors (KNN), and Decision Tree (DT) displayed decreasing AUC/ROC scores and varying CTs (RF: 0.784, 16.130s), NB:
0.740, 2.456s, KNN: 0.718, 1.897s, and DT: 0.689, 1.787s), CatBoost came in second with an AUC/ROC score of 0.816 and a CT
of 17.121 seconds. The algorithms showed improved performance metrics following the reduction of dimensionality: LightGBM
had the highest AUC/ROC score of 0.979 with a CT of 15.344 seconds, while CatBoost had a competitive AUC/ROC score of
0.977 with a CT of 15.235 seconds. Other methods also showed improvement. All computations were performed more efficiently
as a result of the smaller feature space. AUC/ROC scores for LightGBM and XGBoost were 0.830 and 0.829, respectively, with
CTs of 22.345 and 22.455 seconds, after manual feature engineering through random feature selection. CatBoost, on the other
hand, had an AUC/ROC score of 0.814 with a CT of 24.587 seconds. These modifications revealed extra computational complexity
brought about by feature engineering, which had an impact on calculation times as well as performance measures. The impact of
preprocessing strategies on computing efficiency and model performance is highlighted in this work. By concentrating on pertinent
features, dimensionality reduction dramatically improved AUC/ROC scores and shortened calculation times, whereas manual
feature engineering offered more nuanced insights but frequently at the expense of more computational complexity. The trade-offs
associated with maximizing the accuracy and efficiency of machine learning models are highlighted by these results.
ʿOs̠mān b. Ebi’l-ʿĀṣ’ın Hayatı ve İslam Tarihindeki Yeri
Authors: Barış Mustafa Necati
Published: November 2024

Bu çalışmada Hz. Peygamber’in risalet süresi boyunca stratejik bir yer işgal eden Taif ve bu şehirde meskûn Benū S̠aḳīf kabilesinin dikkat çekici bir üyesi olan ʿOs̠mān b. Ebi’l-ʿĀṣ’ın (ö. 50-51/670-71) hayatı ve İslam tarihindeki yeri ele alınmaktadır. ʿOs̠mān b. Ebi’l-ʿĀṣ, geç bir dönem olarak kabul edilebilecek Mekke’nin fethini müteakiben hicretin 9. yılı Ramazan ayında Allah Rasulü’ne bir heyet göndermek suretiyle İslam’ı kabul eden Taiflilerin ilk valisidir. Bizzat Hz. Peygamber tarafından atandığı valilik görevini Hz. Ebū Bekr dönemi ile Hz. ʿÖmer’in hilafet yıllarının ilk iki senesinde de sürdürmüş ve bu dönemde S̠aḳīf kabilesinin dinden dönmesine mâni olmanın yanı sıra irtidat eden kabilelerle mücadele gibi önemli hizmetler icra etmiştir. Daha sonra Hz. ʿÖmer tarafından görevlendirildiği Bahreyn bölgesi valiliğini Hz. ʿOs̠mān döneminin ilk altı yılında devam ettirmiş, bu süreçte de bugünkü İran sınırları içerisinde kalan Fars bölgesinin fethi ve İslamlaşması yolunda mühim faaliyetler yürütmüştür. Yaklaşık yirmi yıl boyunca Taif ve Bahreyn bölgesinde valilik yapıp İslam medeniyetinin teşekkül sürecine önemli katkılar sunmasına rağmen hakkında bugüne kadar herhangi bir eser kaleme alınmayan ʿOs̠mān b. Ebi’l-ʿĀṣ, ilk defa bu makale ile müstakil bir çalışmaya konu olmaktadır.
Democratic transition of power and its implications on tourism growth: Insights from Fiji’s 2022 General Election
Authors: Wondirad Amare , Ahluwalia Pal , Kuilamu Marika , Stephens Marcia
Published: November 2024

Tourism, politics, and peace are inextricably linked. As a fragile and sensitive sector, tourism requires peace, stability, safety, and security to thrive. Prior research highlights the necessity of destination safety and security for visitor flows compared to other destination attributes. Among the various triggering factors of political turmoil and instability in developing countries, elections are at the forefront. Developing countries particularly face the challenge of a smooth transition of power in the aftermath of elections. In this respect, Fiji’s 2022 general election will go down in history as the first democratic transition of power since its independence in 1970. In this study, we examine the implications of Fiji’s first ever peaceful power transition for its tourism growth. Research findings reveal that the democratic transfer of power contributes significantly to Fiji’s tourism development by boosting both investors and visitors’ confidence, improving international image, and increasing tourists’ perceptions of safety and security within the country. The study developed a model that has substantial predictive power with an R2 value of 0.746 and substantially enriches the existing body of knowledge by highlighting the critical role of peace and security in fostering the growth and development of tourism.
Diseño del Proceso Sostenible para la Obtención de una Emulsión Cosmética desde un Enfoque de Biocomercio
Authors: Guardado Yordi Estela , Radice Matteo , Scalvenzi Laura , Pérez Martínez Amaury
Published: November 2024

El presente trabajo analiza la inclusión del enfoque de biocomercio en el diseño de procesos químicos sostenibles, lo cual representa un reto para el desarrollo de tecnologías y productos que aprovechen las oportunidades de este enfoque. El objetivo es generar alternativas de diseño de procesos para la producción de una emulsión destinada al uso cosmético desde el enfoque de biocomercio. Para ello, se analizó un estudio de caso en el cual fue importante la selección de una materia prima proveniente de una región amazónica ecuatoriana con el fin de obtener una emulsión cosmética. Las alternativas tecnológicas para producir la emulsión cosmética a partir de aceite de Ungurahua consideraron la sostenibilidad, diversas alternativas de producción, así como aspectos del biocomercio y del diseño de proceso. El diseño se realizó mediante la simulación con el SuperPro Designer v10. El aceite se puede obtener mediante prácticas de recolección no invasivas, que preservan el ecosistema y promueven la biodiversidad, lo cual contribuye al biocomercio y a la viabilidad a largo plazo del proyecto desde perspectivas técnicas, ambientales y sociales. El diseño del proceso se caracteriza por su sostenibilidad y viabilidad tecnológica. La tecnología diseñada utiliza materias primas y fuentes de energía renovables, y no genera residuos sólidos, líquidos ni gaseosos. Su implementación impactaría en lo social al generar fuentes de empleo, y se estima que la inversión se recuperaría en 4.73 años si la producción supera los 780 lotes/año.
Comparison of Micromechanical Models for Predicting the Young’s Modulus of Fiber-Reinforced Epoxy
Authors: Sotomayor Oscar , Pancho Antonio
Published: November 2024

Analytical models for predicting the mechanical properties of composite materials are useful when experimental procedures are not feasible. This study presents a review of micromechanical analytical models used to predict the Young’s modulus of fiber-reinforced composites (FRC). The theoretical models assessed in this work include the series and parallel models, the effective modulus approach, the Halpin-Tsai equations, and the Cox and Nilsen models, due to their relatively simple mathematical descriptions. The study focused on an epoxy matrix reinforced with carbon fiber, E-glass, and Kenaf (a natural fiber), as these fillers are commonly used in various industrial and research applications. The comparison between experimental and predicted values indicates that models such as the Halpin-Tsai and effective modulus approach provide better agreement with the experimental measurements for the targeted composites.
Design and Implementation of a Bottle Packing Machine
Authors: Vásquez Sebastián , Tirira Alexander , Moya Marcelo , Mosquera Guillermo
Published: November 2024

The article presents an innovative prototype of a bottle packaging machine, framed in the context of industrial development and process automation. The system is designed based on requirements that allow addressing common challenges in small and medium-sized business environments. The proposal stands out for its efficiency and affordability. The system offers an economical alternative to expensive commercial production models. The implementation and testing of the system have shown 100 percent accuracy in counting and packaging bottles, leading to a reduction of operating costs. The results show that the prototype, which has the capacity to process 16 bottles per minute, through the development of a PID controller synchronizes the arrival time of the bottles in the unloading area. The development cycle of the mechatronic system is complemented by software that, through a communication application, generates the user interface and production statistics through a client-server architecture using the HTTP communication protocol. The system highlights a comprehensive solution, which has been developed, meeting the specific requirements of industrial automation in bottle packaging.
Compact Objects and Gravitational Waves:
Authors:   , Creci Keinbaum Gastón-Federico
Published: November 2024

In this thesis we study the role of relativistic tidal effects in binary systems of compact objects and their link to fundamental physics and gravitational waves. In particular, we develop theoretical frameworks to systematically and rigorously connect the microphysical information encoded in the compact object, with the dynamical spacetime of the binary, relevant for current and future gravitational-wave observations. We start with an overview of gravitational-wave theory and tidal effects before discussing our three lines of novel work. First, we generalise the relativistic treatment of tidal effects to gravity theories beyond general relativity which give rise to scalar hair in compact objects. We uncover a new set of tidal deformabilities and compute numerical values for neutron stars in scalar-tensor theories. We assess degeneracies between internal structure and gravity theories and extract the key parameters relevant for gravitational wave observations. Second, we calculate in detail the effects on the waveform and study the role and implications that these new parameters have for gravitational wave signals of coalescing binary systems. Furthermore, we develop a novel formalism to include the quasi-normal mode structure in a frequency-dependent dynamical tidal response function from gauge-invariant scattering amplitudes. In particular, this formalism overcomes previous difficulties with unambiguous identifications of information from strong-field regimes. As a case study, we apply our formalism to scalar perturbations of a Schwarzschild black hole and recover results from previous literature on the absorption cross section and tidal Love number. Additionally, we investigate the role played by analytic continuation to resolve degeneracies between post-Newtonian corrections, characterising relativistic effects in the binary, and multipolar expansions, encoding the finite size of the bodies.
Customer Data Platform Implementation: Easy task or an impossible attempt?
Authors: Kern Prof. Dr. Manuel , Schmäh Prof. Dr. Marco , Kern, Msc Sarah , Striebl, Msc Kathrin , Himmel, Msc Lara , Beermann, MSc Fabiola
Published: November 2024

This study explores the adoption of a customer data platform (CDP) in German companies. Lately, customer data has become a crucial asset for companies. However, the increasing amount of data makes it challenging to cluster and evaluate the high amount of customer data from different platforms. Combined in one platform, a CDP centralizes technology solutions that collect customer data from various sources, thus facilitating personalized and automated marketing processes. The study uses a critical realism and deductive approach to explore the subjective meanings of CDP implementation within the selected German organizations. A mixed-method approach has been applied to gathering data through 19 semi-structured interviews and a qualitative content analysis according to Mayring (2020) was conducted. The study investigated how companies perceive the benefits and challenges of implementing a CDP in their organizations. While interviewees recognize the value of CDPs in creating comprehensive customer profiles, challenges such as data quality issues hinder adoption. The findings highlight the need for prioritizing data quality and building expertise and resources to implement CDPs effectively. Recommendations include fostering communities for knowledge sharing and gradually preparing for CDP integration to ensure competitiveness
Evaluating Remote Work Practices in the Public Sector: Insights from Saudi Arabian Employees
Authors: Kadi Saleh M
Published: November 2024

Remote work is a work pattern adopted in various organizations as an advancement of technology and an application of digital transformation. Remote work has many advantages that contribute to both employees and organizations. It allows flexibility and increases productivity besides many other benefits. However, remote work also has some challenges such as culture and reachability that need to be considered. Remote work is a significant change in employees’ pattern of work where they will have more autonomy and responsibility. Additionally, employees will be more reachable and they might work longer hours. Thus, all of this might contribute to substandard practices of remote work where its stereotype becomes negative. Literature has shown that some organizations have decided to return to office as a result of the substandard practices. Therefore, this research is motivated to understand the practices of remote work in Saudi Arabia’s public sector. This research found that the public sector relies heavily on technology. However, as a formal work pattern, only three organizations allow remote work. That said, employees become reachable more than ever when they are asked and contacted after working hours. This has resulted in a new finding that remote work might not be an official work pattern, but employees could work remotely after official working hours. This research has also found that the practices of remote work are substandard. Employees’ culture is behind and they misuse the concept of remote work. In addition, there is a lack of remote work policy which leaves a space for individuals and subjective decisions that might contribute negatively to remote work experience.
Strategies to Improve Teachers' Organizational Citizenship Behavior Through Strengthening Transformational Leadership and Self-Efficacy
Authors: Siregar Uli Rohana , Hermawan Andi
Published: November 2024

The success and sustainability of an organization are largely determined by the willingness of organizational members to behave well not only when carrying out their main tasks, but also extra behavior in wanting to be good teachers. However, there are indications that teachers at the PGRI Vocational School, Bogor Regency, only carry out basic tasks and do not demonstrate behavior that supports organizational effectiveness outside of this. This research aims to determine the relationship between transformational leadership and self-efficacy in organizational citizenship behavior both partially and jointly. The population in this study were teachers at the PGRI Vocational School, Bogor Regency with a sample of 243 respondents. Data collection was carried out by distributing questionnaires and data processing was carried out using simple regression analysis and multiple regression analysis. The research results show that (1) transformational leadership has a positive and significant relationship with teachers' organizational citizenship behavior. (2) self-efficacy has a positive relationship with teacher organizational citizenship behavior. (3) transformational leadership and self-efficacy have a positive and significant relationship with teachers' organizational citizenship behavior.
Respuesta del Estado chileno a la crisis migratoria y de refugiados venezolana (2018-2022)
Authors: Andrade-Moreno Marcos , Cociña-Cholaky Martina
Published: November 2024

A través del análisis documental, este estudio cualitativo examina la respuesta de Chile a la crisis de migrantes y refugiados venezolanos, evaluando críticamente las medidas implementadas: exigencia de visas consulares, denegación de facto de refugio y optimización de los procesos de expulsión. Se argumenta que estas medidas obedecen a una política migratoria que amalgama securitismo, economicismo y falso humanitarismo, con la selectividad negativa de los migrantes como su núcleo, evidenciada en la práctica jurídico-administrativa y los ingresos irregulares al país de ciudadanos venezolanos y haitianos. A través de tres críticas fundamentales –decisiones sin base en la evidencia, tratamiento jurídico excepcional e incapacidad gubernamental para coordinar una respuesta multilateral–, este trabajo sostiene que el aumento de la irregularidad desde 2018 no se atribuye solo a la crisis venezolana, sino también a la respuesta estatal frente a los desplazamientos durante la última década.
Activists, Smugglers, and Researchers in the Migration Industry in Mexico
Authors: Serra Mingot Ester
Published: November 2024

En este artículo se problematiza el papel de activistas, traficantes e investigadores en la lucrativa industria migratoria actual, entendida como el conjunto de redes migratorias transnacionales que facilitan el movimiento de personas (a menudo) en contra de las leyes de los Estados. El análisis se basa en los datos obtenidos durante 18 meses de trabajo de campo etnográfico con migrantes africanos en tránsito por México, traficantes y activistas de organizaciones de la sociedad civil. A partir de tres casos específicos –un activista, un traficante y una investigadora académica– el artículo dilucida cómo las prácticas llevadas a cabo por estos actores son criminalizadas (o no) y de qué manera contribuyen a la perpetuación de la migración irregular. Alejado del enfoque estadocéntrico, este artículo contribuye a la literatura actual al analizar ciertas actividades transgresoras y la posición subjetiva de quienes las ejecutan, ya sea por razones éticas, económicas o políticas.
Yaşlılığa Aktif Yaşlanma Perspektifiyle Bakmak: Lüleburgaz Örneği
Authors: Akyıldız Yasin
Published: November 2024

Dünya nüfusu içinde yaşlı nüfusu sürekli artmaktadır. Yaşlılık döneminin başarılı bir şekilde sürdürülmesi için Dünya Sağlık Örgütü “Aktif Yaşlanma” kriterleri yayınlamıştır. Aktif yaşlanma kriterleri arasında sağlık, katılım, güvenlik ve bakım başlıkları temel destek mekanizmaları olarak belirlenmiştir. Yaşlanma kuramları arasında yaşlanmanın bir gerileme dönemi olduğuna yönelik vurgu yaygındır. Aktif yaşlanma ise yaşlanma döneminde ortaya çıkan gerilemelerin etkilerinin en aza indirilmesi amacıyla yaşlılık döneminin bireyin ait olduğu toplumda sosyal, sağlık, kültürel alanlarda katılımcı olması gerektiğini vurgulamaktadır. Araştırma kapsamında Lüleburgaz İlçesinde yaşayan yaşlı bireylere yönelik aktif yaşlanma kriterlerine ait sorular yöneltilmiştir. Yaşlı bireylerin aktif yaşlanma kriterlerine yükledikleri anlam nitel araştırma yöntemi kapsamında yarı yapılandırılmış görüşme tekniğiyle elde edilmiştir. Elde edilen bulgular arasında hareket, maneviyat, bilinç, sağlıklı beslenme, sosyal sermaye kavramlarının aktif yaşlanmanın anlamlandırılmasında anahtar kavramlar olduğu görülmüştür. Aktif yaşlanma süreci bireysel yeterliliklerin yanında sosyal destek mekanizmalarını harekete geçirecek örgütsel yapılanmaların gerekliliğini ortaya koymaktadır. Veriler aktif yaşlanmanın sağlanabilmesinin tüm yaşam sürecine ait bilinç değişimi ile mümkün olabileceğini ortaya koymaktadır. Yaşlılık öncesi dönemdeki yaşam alışkanlıkları yaşlılık dönemine ait konforu belirleyici niteliktedir.
Tabiîn Dönemi Müelliflerinin Nesih Tespitlerine Dâir Bir Karşılaştırma; Katâde b. Diâme ve İbn Şihâb ez-Zührî Örneği
Authors: Çalış Muhammet İkbal , Balık Emrah
Published: November 2024

Şer‘î bir hükmün başka bir şer‘î hükmü kaldırması olarak tanımlanan nesih, ulûmu’l Kur’ân literatüründe genellikle en-Nâsih ve’l mensûh şeklinde zikredilmektedir. Bu alana dair yazılan müstakil eserlerin ilklerinden sayılabilecek Katâde b. Diâme (ö. 117/735) ve İbn Şihâb ez-Zührî’ye (124/742) ait olduğu belirtilen en-Nâsih ve’l mensûh isimli eserler müelliflerin yaşadıkları dönem ve ait oldukları nesil göz önünde bulundurulduğunda oldukça önem arz etmektedir. Nitekim tefsirinde nesih hususuna değinen ve neshe konu olan ayetlerde bu meseleye dair rivayetleri çokça zikreden İbn Cerîr et-Taberî (ö. 310/923) ile bu alana dair müstakil eser yazan önemli isimler arasında yer alan Ebû Ubeyd Kâsım b. Sellâm (ö. 224/838) ve Ebû Ca’fer en-Nehhâs (ö. 338/950), eserlerinde Katâde ve Zührî’den konuya dair nakillerde bulunmuşlardır. Bu durum Katâde ve Zührî eserlerinin önemli olduğunu vurgulayan göstergelerden biridir. Ele almış oldukları nesih tespitlerine bakıldığında Katâde’nin 33, Zührî’nin ise 34 ayeti bu çerçevede konu ettikleri ve bu ayetlerin 17 tanesinin de aynı ayetler olduğu görülmektedir. Geri kalan ayetlerin ise farklı nesih tespitleri olduğu ifade edilebilir. Nesih literatürüne giren söz konusu iki eserin nesih tespitlerindeki bu hatırı sayılır fark, okuyucuların zihinlerinde doğal olarak bazı şüpheler uyandırabilir. Özellikle Katâde’nin nesih tespitlerine bakıldığında Zührî’ye kıyasla, sistematik hale gelen nesih ilmine daha uyumlu tespitler olduğu görülmektedir. Zührî’nin ise, ilk dönemlerde nesih olarak isimlendirilen, ancak sonraları neshin kapsamından çıkarılan; istisna, takyit ve beyân içeren ayetleri de nesih çerçevesinde değerlendirdiği ifade edilebilir. Bu durum, Katâde ve Zührî’nin farklı ilmî çevrelerde yetişmeleri ya da ilgilendikleri ve şöhret buldukları ilmî disiplinlerin farklı olmasıyla da ilişkilendirilebilir. Ayrıca, bu eserlerin müelliflere nispeti hususundaki bazı şüpheler de nesih tespitlerindeki bu farklılığın bir diğer sebebi olabilir. Bu çalışmada öncelikle her iki müellifin ortak olarak zikrettikleri nesih tespitleri aktarılmış, sonrasında ise tamamı olmasa da zikredilen farklı nesih tespitlerinin başlıcalarına yer verilmiştir. Son olarak, ortaya çıkan bu farklılığın sâikleri ile ilgili ihtimaller üzerinde durulmuştur.
Split (s, t)−Lucas Quaternions
Authors: Menken Hamza , Tekin Durdane
Published: November 2024

In this paper, we introduce a new class of split (s,t)- Lucas quaternions that generalizes the split Lucas quaternions. Additionally, we derive Binet-like formulas, generating functions, binomial sums and Honsberger-like, d'Ocagne-like, Catalan's-like and Cassini's-like identities.
TEMPERATURE INDICES OF WELL KNOWN DENDRIMER NETWORKS
Authors: Çolakoğlu Havare Özge , Ayday Yusuf
Published: November 2024

Chemical graph theory is a branch of graph theory. In this field, molecules are modeled using graph theory and a mathematical approach is obtained. Thus, predictions can be made about the physical, chemical and bioactivity properties of molecules. In this study, temperature indices depending on the vertex degree are considered. Temperature indices of Polyamidoamine (PAMAM) dendrimers, Porphyrin core dendrimers are obtained and
the results are compared numerically using the MATLAB program.
Analisis Sentimen Berita Hoax Menggunakan Naive Bayes
Authors: Meyti Eka Apriyani  , Rasyed Rasyed Renaldi , Toga Aldila Cinderatama
Published: November 2024

Saat ini WhatsApp merupakan aplikasi yang banyak digunakan oleh masyarakat Indonesia sebagai sarana komunikasi jarak jauh dengan pengguna lain. WhatsApp juga memiliki fitur yang dapat digunakan untuk kepentingan perlindungan dalam mengatasi tindak kejahatan digital yaitu penyebaran berita hoax presiden Joko Widodo 3 periode. Untuk mengatasi kejahatan yang ada maka diperlukan sebuah analisis sentimen agar dapat menyelesaikan tindak kejahatan tersebut. Penelitian ini menggunakan algoritma Naïve Bayes untuk mengklasifikasikan percakapan yang ditemukan dan User Acceptence Test (UAT) untuk mengetahui tanggapan responden tentang kemudahan aplikasi desktop python terhadap penggunaan aplikasi tersebut. Hasil yang didapatkan adalah penggunaan aplikasi desktop dengan bahasa pemrograman Pyhton kurang maksimal dalam mendapatkan kalimat bukti percakapan berdasar file gambar yang ditentukan, dari 80 kalimat percakapan tersebut dapat dihasilkan berjumlah 75 kalimat percakapan. Kemudian, pada proses klasifikasi menggunakan Naïve Bayes dengan skenario 50:50 didapatkan akurasi 88%, precision 84%, dan recall 91,3%, sedangkan hasil dari pengujian UAT memiliki persentase 50% sangat setuju, 40% setuju, dan 7,1% tidak setuju. Dapat disimpulkan aplikasi desktop python berfungsi, sesuai dan layak untuk digunakan, akan tetapi untuk mendapatkan hasil yang maksimal perlu adanya pengembangan lebih lanjut dan disimpulkan juga aplikasi desktop python mudah dan layak digunakan, tetapi untuk mendapatkan hasil yang maksimal perlu adanya pengembangan lebih lanjut.
Kombinasi Metode TOPSIS dan ROC dalam Pemilihan Tanaman Anggrek Terbaik
Authors: Erdianita Davila
Published: November 2024

Tanaman anggrek merupakan termasuk bagian dari tanaman hias yang memilik banyak peminat. Tidak hanya jenisnya yang beragam, tanaman anggrek memiliki beragam warna dan kegunaan. Toko Bunga XYZ merupakan toko bunga yang dikhususkan untuk menjual anggrek dengan beraneka ragam jenis. Toko Bunga XYZ juga menyediakan layanan pengantaran bunga, baik antar kota maupun dalam Kota Surabaya. Dengan penggunaan layanan antar, memungkinakan tanaman akan sampai ke tempat tujuan dalam beberapa hari. Sebelum proses pengiriman, diperlukannya pengecekan kelayakan tanaman anggrek agar tanaman dapat bertahan saat proses pengiriman. Sehingga diperlukan sistem pendukung keputusan yang dapat memberikan rekomendasi tanaman anggrek dengan kualitas terbaik. Penelitian ini menerapkan kombinasi metode TOPSIS dan ROC. Metode TOPSIS digunakan dalam penentuan tanaman anggrek terbaik dan metode ROC digunakan dalam proses pembobotan. Kriteria yang diterapkan pada penelitian ini yakni ketahanan saat pengiriman, kesehatan tanaman, fungsi, iklim, usia. Pada penelitian ini juga ditetapkan 10 alternatif berdasarkan nama tanaman anggrek yang dibudidayakan dan dijual oleh Toko Bunga XYZ. Hasil perhitungan metode TOPSIS dan ROC, Alternatif A4 merupakan alternatif dengan nilai preferensi tertinggi yaitu sebesar 0,837027 yang dapat direkomendasikan sebagai tanaman anggrek yang memiliki kualitas terbaik dan layak dikirim kepada pembeli. Alternatif A4 merupakan tanaman Anggrek Kantung Kolopaking. Sedangkan nilai preferensi paling rendah yaitu alternatif A10 dengan nama Anggrek Kerlip sebesar 0,147122.
Sistem Informasi Geografis Pemetaan Daerah Rawan Kecelakaan Lalu Lintas Berbasis Website di Kota Pontianak
Authors: Anisa Anisa , Wahid Saleh Insani Rachmat , Cendekia Siregar Alda
Published: November 2024

Kecelakaan lalu lintas merupakan insiden yang melibatkan satu atau lebih kendaraan serta pengguna jalan lainnya, sering kali disebabkan oleh minimnya informasi mengenai kondisi jalan yang akan dilalui. Kurangnya informasi ini dapat meningkatkan risiko kecelakaan, terutama di daerah dengan tingkat lalu lintas yang padat. Untuk mengatasi masalah ini, penelitian ini mengembangkan Sistem Informasi Geografis (SIG) berbasis website dengan memanfaatkan Google Maps API guna memetakan dan menganalisis daerah rawan kecelakaan di Kota Pontianak. Sistem ini dirancang untuk memberikan informasi yang akurat mengenai lokasi titik rawan kecelakaan serta tingkat keparahan kecelakaan yang terjadi. Dengan demikian, sistem ini dapat membantu pihak-pihak terkait seperti pemerintah daerah dan instansi lalu lintas dalam mengambil keputusan strategis untuk mengurangi angka kecelakaan. Penggunaan teknologi website memungkinkan pengguna mengakses peta digital serta data kecelakaan secara real-time, yang mempermudah pemantauan kondisi jalan dan penanganan situasi darurat. Selain itu, pengujian Black Box Testing menegaskan bahwa semua fungsi sistem beroperasi dengan baik dan menghasilkan output yang konsisten sesuai dengan input yang diberikan. Hasil dari User Acceptance Testing (UAT) juga mencatat bahwa 80,40% dari pengguna memberikan respon positif terhadap sistem yang digunakan. Hal ini menunjukkan bahwa sistem yang dikembangkan tidak hanya dapat diandalkan, tetapi juga efektif dalam memberikan informasi kritis tentang kecelakaan di Pontianak. Implementasi SIG berbasis website inimdapat menjadi acuan penting dalam pengambilan kebijakan berbasis data untuk meningkatkan keselamatan lalu lintas di masa mendatang.
Perancangan dan Implementasi Aplikasi Pembelajaran Pengenalan Huruf dan Angka Berbasis Web di TK Al Hidayah Doko VII
Authors: Hartanti Hartanti , Nur Budiman Saiful , Kirom Sabitul
Published: November 2024

Media pembelajaran merupakan sarana yang sangat penting dalam pendidikan anak usia TK seperti media pembelajaran literasi dan numerasi. Pada penelitian ini mendapatkan permasalahan terkait media belajar yang masih kurang menarik, sehingga siswa kurang berminat dalam belajar dan terkesan acuh dengan konsep pembelajaran tang diterapkan. pada penelitian ini bertujuan dapat membuat sebuah media pembelajaran inetraktif untuk anak TK dengan tampilan yang menarik. Disini penulis akan membuat sebuah media pembelajaran pengenalan huruf dan angka berbasis game edukasi. Dalam penelitian ini penulis menggunakan metode pengembangan Waterfall, adapun tahapan dari metode Waterfall antara lain : Analysis, Design, Implementation, Testing, Verification, Maintennace. Dari hasil pengujian blackbox mendapatkan 91,6 % yang berarti semua berfungsi dengan baik, dan untuk hasil pengujian whitebox mendapatkan nilai Cyclomatic Complexity adalah 2 yang berarti masuk kategori 1-10 bahwa kode terstruktur dengan baik, mudah diuji, biaya lebih sedikit.