bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Artificial Intelligence (AI) on Financial Decision-Making: Mediating Role of Financial Technologies (Fin-Tech)
Authors: Qatawneh Adel M. , Lutfi Abdalwali , Al Barrak Thamir 
Published: October 2024

The main objective of the current study is to shed light on the mediating effect of financial technology (Fin-Tech) on the relationship between artificial intelligence (encompassing natural language processing (NLP), machine learning algorithms, computer vision, predictive analytics, robotic process automation (RPA), blockchain technology, and deep learning) and financial decision-making from the perspective of financial managers within Jordan's commercial banking sector. Realizing this objective required the use of quantitative methodology. A questionnaire was self-administered by 86 financial managers in the Jordanian banking sector. Primary data was analyzed using AMOS. Results of analysis confirmed that FinTech plays a significant mediating role between AI applications and financial decision-making. Machine learning was identified as the most impactful AI technique, facilitating more informed decisions through advanced data analysis and pattern recognition beyond the scope of traditional analysis methods. The novelty of current research is in the fact that it offers valuable insights into the intersection of AI and Fin-Tech within the Jordanian financial sector. It contributes to the understanding of how advanced AI techniques can enhance financial decision-making, emphasizing the importance of multidisciplinary expertise in the development of AI-driven financial systems. The findings have significant implications for both theoretical understanding and practical application in the finance industry. Doi: 10.28991/HIJ-2024-05-03-015 Full Text: PDF
Content Automation in Marketing Research: A Bibliometric Analysis using VOSviewer
Authors: Phuthong Thadathibesra , Thonglor Ratchamongkhon , Srisuksa Nontouch 
Published: October 2024

Objectives: This study conducted a comprehensive assessment of content automation in marketing research using bibliometric analysis spanning 20 years from 2004 to 2024. The primary influential factors, topics, and areas of research were analyzed to determine future research paths. Methods/Analysis: Sample selection and data collection were conducted using the Scopus database. The initial dataset was adjusted by applying certain inclusion and exclusion criteria. The final dataset consisting of 149 articles in the RIS format was loaded into the VOSviewer program to perform a bibliometric analysis. Findings: The results revealed key findings, including the highest citation-counting papers, the most common research format, the research field, the year of publication, collaboration countries, the journal, prominent authors, popular themes, areas for further investigation, and the intellectual framework of current research on the topic. Novelty/ Improvement:Four areas were identified for future research: marketing automation as digital commerce content marketing, artificial intelligence for digital marketing transformation, automation and optimization for personalized advertising content, and automatic knowledge discovery. The temporal development of these issues was also examined to offer valuable insights into the changing focus of academic interest over time and establish a foundation for future investigations. Doi: 10.28991/HIJ-2024-05-03-019 Full Text: PDF
Integrating Intelligent Sensors for Safe UAV Distribution: Design and Evaluation of Ranging System
Authors: Jiang Yihu , Pang Xianhai , Zhang Zizi , Jing Hao , Wei Liqiang , Su Jingang , Zhang Peng 
Published: October 2024

In our increasingly electrified society, electricity has become indispensable to both production and daily life. However, high-load electric energy transmission presents inherent safety risks. To ensure the secure transportation of electric energy, live work on distribution networks is essential. However, traditional live work techniques require a high level of dependence on worker experience, which frequently leads to inaccurate safety distances and degrades worker security. This study proposes the integration of Unmanned Aerial Vehicles (UAVs) with intelligent robot sensing technology to enhance safety and efficiency in live work. By accurately measuring safety distances, UAVs offer a promising solution to mitigate risks associated with high-voltage circuits. Comparative analysis between traditional and intelligent live work safety distance measurements reveals the two live works under the high voltage circuit were 92% and 96%, respectively, and the accuracy of the two live work safe distance measurements under the low voltage circuit was 84% and 99%, respectively. Results demonstrate that UAVs equipped with intelligent sensing technology achieve superior accuracy in safe ranging for live work, thereby ensuring stable energy transmission and safeguarding the lives of workers in distribution networks. Doi: 10.28991/HIJ-2024-05-03-04 Full Text: PDF
PROSPECTIVE RESERVE AND FULL PRELIMINARY TERM RESERVE ON ENDOWMENT LAST SURVIVOR LIFE INSURANCE USING CLAYTON COPULA
Authors: Hasriati Hasriati , Nayunda Voundri Nindia , Sirait Haposan , Hasbiyati Ihda 
Published: October 2024

Combined life insurance is a type of insurance that protects two or more people who are related by family and is divided into two, namely joint-life life insurance and last-survivor life insurance. The last survivor life insurance is a condition of life insurance that will continue if there is at least one of all insurance participants who is still alive and will stop if all insurance participants die. The insurance company has to pay the benefit to the heirs of the insurance participant. When a claim occurs, the insurance company must prepare the reserve fee. The purpose of this research is to determine the amount of premium reserve of endowment last-survivor life insurance using prospective reserve and full preliminary term reserve. Full preliminary term reserve is one of the modified premium reserve calculations from Zillmer Reserve. To determine prospective reserve and full preliminary term reserve using the initial life annuity, single premium, and annual premium. Whereas the initial life annuity is influenced by the combined life and death opportunity of the insurance participants. Furthermore, the combined life and death opportunity of insurance participants will be obtained from Clayton copula and to obtain the parameter of Clayton copula, Rstudio software is used. Based on the result, the value of prospective reserves and full preliminary term reserves has increased every year and prospective reserves produce a greater value than full preliminary term reserves. If the insurance company uses this reserve calculation, the reserve that the company must prepare will increase every year. This is useful for insurance companies in predicting the amount of reserves they must have.
HOW MANY SUBSETS WHICH THEIR OPERATIONS WITH A FIXED SUBSET CONTAIN AT LEAST ONE ELEMENT OF A GIVEN COLLECTION?
Authors: Huda Muhammad Nurul , Lestari Veni Rizki 
Published: October 2024

We pose the following problem related to binary set operations on finite sets. Given a finite set . Let a binary set operation and be a non-empty collection of non-empty subsets of . For a fixed subset of , where , how many subsets of which their operation with contains at least one element of ?. In this paper, we give the solution of this problem, especially for the subsets of size , using the inclusion-exclusion principle, Corrádi’s lemma, and Bonferroni’s inequality. In this context, the problem is related to determining the degree of nodes in certain graphs, such as graphs constructed with the adjacency rule depends on and the node set is a hypergraph.
PREDICTION SYSTEM FOR THE AMOUNT OF SUGAR PRODUCTION USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
Authors: Kamsyakawuni Ahmad , Sholihah Walidatush , Riski Abduh 
Published: October 2024

Sugar is one of the staple foods most Indonesians use, so sugar production needs to be done optimally to meet people's needs. This research will design a prediction system for the amount of sugar production in PTPN XI PG Prajekan using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. ANFIS is a combined method of two systems, namely a fuzzy logic system and an artificial neural network system. This research consists of data collection, ANFIS system design, ANFIS training, ANFIS testing, accuracy calculation, and result analysis. The prediction system for the amount of sugar production is designed to predict the variable which is the amount of sugar production in the year using the input variables (sugarcane harvested area in year ), (amount of sugarcane in year ), (average of yield in year ), and (number of milling days in year ). The experiments in this research used variations of the type of membership function and the number of membership functions. The best model obtained in this research is a model with a difference between two sigmoidal membership functions and a product of two sigmoidal membership functions with a total of 2 membership functions for each input variable. Both models have the same Mean Absolute Percentage Error (MAPE) value, which is 1.79% in the training process and 4.82% in the testing process.
DYNAMICAL BEHAVIOR IN THE COMPETITIVE MODEL INCORPORATING THE FEAR EFFECT OF PREY DUE TO ALLELOPATHY WITH SHARED BIOTIC RESOURCES
Authors: Dewi Mifta Kharisma , Savitri Dian , Abadi Abadi 
Published: October 2024

This research develops a mathematical model of a natural phenomenon, namely sea snails that can release toxins (allelopathy) so that non-toxic sea snails become afraid. In addition, toxic and non-toxic sea snails share biotic resources. Based on the existing phenomenon, the model of fear effect caused by allelopathy in the competitive interaction model with shared biotic resources will be studied. In this system, three equilibrium points are obtained: extinction point of prey, extinction point of predator, and coexisting point under certain conditions. Analysis of local stability at equilibrium points by linearization shows that all equilibrium points are asymptotically stable with certain conditions. Numerical simulations at the equilibrium point show the same results as the analysis results. Then, numerical continuity was carried out by selecting variation of the fear effect parameter for Numerical continuity results show that changes in these parameters affect the population of toxic and non-toxic species, marked by the emergence of Transcritical bifurcations, Bifurcation occurs at the first Saddle-Node bifurcation at and the second Saddle-Node bifurcation at
A COMPLETION THEOREM FOR COMPLEX VALUED S-METRIC SPACE
Authors: Kiftiah Mariatul , Yundari Yundari , Suryani Suryani , Lauren Nover 
Published: October 2024

Any complex valued S-metric space where each Cauchy sequence converges to a point in this space is said to be complete. However, there are complex valued S-metric spaces that are incomplete but can be completed. A completion of a complex valued S-metric space ( is defined as a complete complex valued S-metric space with an isometry such that is dense in In this paper, we prove the existence of a completion for a complex valued S-metric space. The completion is constructed using the quotient space of Cauchy sequence equivalence classes within a complex valued S-metric space. This construction ensures that the new space preserves the essential properties of the original S-metric space while being completeness. Furthermore, isometry and denseness are redefined regarding a complex valued S-metric space, generalizing those established in a complex valued metric space. In addition, an example is also presented to illustrate the concept, demonstrating how to find a unique completion of a complex valued S-metric space.
THE REFLEXIVE EDGE STRENGTH OF THE PENTAGONAL SNAKE GRAPH AND CORONA OF THE OPEN TRIANGULAR LADDER AND NULL GRAPH
Authors: Indriati Diari , Utami Risma Listya , Utomo Putranto Hadi 
Published: October 2024

Assume that be an undirected simple graph with vertex set and edge set . The edge irregular reflexive -labeling of graph is a labeling selects positive integers from 1 to as edge labels and non negative even numbers from 0 to as vertex labels, and the weights assigned to each edge are distinct, where . On graph with labeling, the weight of edge is represented by which is defined as the sum of edge label and all vertex labels incident to that edge. Reflexive edge strength of graph is the minimum of the highest label, denoted by . In this research, reflexive edge strength for pentagonal snake graph and corona of open triangular ladder and null graph will be determined. The method of this research is literature study, the lower bound of determined by Ryan’s lemma and the upper bound by labeling. The reflexive edge strength of pentagonal snake graph with is for and for The reflexive edge strength of corona of open triangular ladder and null graph with n ≥ 3 and m ≥ 1 is and .
EDGE IRREGULAR REFLEXIVE LABELING OF DUMBBELL GRAPH, CORONA OF OPEN LADDER, AND NULL GRAPH
Authors: Zalsa Thetania Miftakul , Indriati Diari , Martini Titin Sri 
Published: October 2024

Graph is a simple, connected, undirected graph with vertex set and edge set . A graph is called to have an edge irregular reflexive -labeling if its vertices can be labeled with even numbers from until and its edges can be labeled with positive integers from to such that the weights for all the edges are different, where . The weight of edge uv in graph with labeling, denoted by , is defined as sum of the edge label and all vertex labels incident to that edge. The reflexive edge strength of a graph , denoted by , is the value of minimum of the largest label. In this paper, edge irregular reflexive -labeling for Dumbbell Graph and corona of open ladder and null graph will be determined. The reflexive edge strength of the Dumbbell Graph with and is for and for The reflexive edge strength of the corona of open ladder and null graph with n ≥ 3 and m ≥ 1 is for and for .
A Review on Synchronous, Asynchronous, and Blended Learning on ELT in Indonesian Context
Authors: Eka Fajar Rahmani  , Riyanti Dwi , Misieng Jecky , Sayok Alexander K 
Published: October 2024

This study analyzes Indonesian EFL teachers' synchronous, asynchronous, and blended learning implementation during the Covid-19 pandemic. Numerous articles have been published this trend. Unfortunately, the early search only found implementation or student/teacher perspectives research. One-article works on other learning modes are preferable. Thus, using PRSIMA's Systematic Literature Review (SLR) design, the researchers chose 32 of 82 related papers from qualified publications approved by SINTA 1, 2, and 3. The study addresses six key points: implementation of the three learning modalities, urban-rural contrasts, most used platforms, students' and teachers' opinions, obstacles they face, and solutions. After COVID-19 broke out, researchers became more interested in these learning modalities, highlighting their importance. This review also analyzes how teachers used digital platforms to engage students throughout synchronous, asynchronous, and blended learning courses. Even though students and teachers faced classroom management, technological issues, platform unfamiliarity, and internet limits, they still liked the learning modes. They liked the modalities' practicality, adaptation, and flexibility, especially for English acquisition. EFL teachers, educators, researchers, and policymakers can use this review to gain a comprehensive understanding of synchronous (virtual real-time activity), asynchronous (learning at different times), and blended learning.
The Effect of Group-Individual Collaborative Testing on Primary Students’ Achievement in Reading Test
Authors: Chandra Yuliyanto 
Published: October 2024

Collaborative testing—a two-stage testing modality in which students do tests as a group and individually—has been extensively researched and found to improve learning. However, most collaborative testing research has focused on non-English language learning. Therefore, this study examines the effects of group-individual collaborative testing (GICT) on English reading test achievement and student views of GICT. This sequential explanatory mixed-methods study gathered quantitative data from both treatment and control groups, primarily comprising students' correct answers, followed by qualitative insights derived from students' reflections on their learning experiences. Quantitative data demonstrates that GICT had a significant effect on students' reading achievement tests. While the qualitative data reveals that students considered GICT was a good reading testing modality, with some notes on the scoring method. Practice and research implications include 1) using GICT to test other language skills, 2) diversifying group composition, 3) giving more weight to the individual part score because students will retrieve more information during this stage, and 4) instilling collaborative learning values before testing.
Silencios hápticos, ecos de la salmodia y retratos sonoros. Exploraciones del sonido en el cine de Chantal Akerman
Authors: Moreno Pellejero Ariadna 
Published: October 2024

El trabajo con el sonido y el silencio es central en la experiencia sensorial que logra el cine de Chantal Akerman. En ocasiones domina la casi ausencia de palabra, en otras su voz es central o destacan los sonidos de los lugares que encuentra en su exploración cinematográfica. Me pregunto ¿qué aportes pueden destacarse en el trabajo con el sonido y el silencio del cine de Akerman?, y ¿cómo estos aportes contribuyen a suscitar la experiencia corporal de la persona espectadora? Me centraré en el análisis comparativo de D’Est (1993), Là-bas (2006) y Tombée de nuit sur Shanghai (2007) de Akerman, especialmente reveladoras en el trabajo del “silencio háptico”, los “ecos de la salmodia” y el “retrato sonoro”. Me apoyaré en estudios previos sobre el trabajo sonoro en el cine de la directora y en la importancia concedida a lo corporal de la teoría fílmica feminista de las últimas décadas.

** Este artículo parte de la tesis doctoral La forma-ritual del cine de Chantal Akerman. Hacia un espectador encarnado, la cual ha sido reconocida con el 1º premio de la XXXV edición de los Premios CAC (Consell de l’Audiovisual de Catalunya), a la investigación sobre Comunicación Audiovisual, y la 1ª Mención Honorífica del Premio a la Investigación en Humanidades y Arte de la Real Academia de Doctores de España de 2023.**
The Externalization of Mourning: Considering the ‘Grain’ of the Voice in Three Belgian Film Elegies
Authors: Peydró Guillermo G. 
Published: October 2024

This article explores how trauma writing, combined with thoughtful voiceover work, allows the notion of the “grain” of the voice, formulated by Roland Barthes in 1972, to be highlighted in a particularly striking way in certain Belgian essay films. The research is based on three case studies, three elegies for the death of a loved one, for which three denominations of the voice are proposed here: the incantatory voice of Mary Jiménez in Du verbe aimer (1984), the voice in ruins in Claudio Pazienza’s Scènes de chasse au sanglier (2007), and the carnivalesque voice in Yaël André’s Quand je serai dictateur (2013). The article takes as its starting point the literature on trauma writing, then examines the concrete articulation of writing and speech in the three case studies; and it is completed with quotations from interviews conducted by the author with the three filmmakers.

**This research arises from the ESCINE research group, Complutense Group of Film Studies (Universidad Complutense de Madrid). My thanks to the three authors of the films studied in this article for the interviews granted and for providing me with some of their films that were difficult to access.**
ПЕРСПЕКТИВИ ЗАСТОСУВАННЯ ІНСТРУМЕНТІВ НА ОСНОВІ ШТУЧНОГО ІНТЕЛЕКТУ У ВИКЛАДАННІ УКРАЇНСЬКОЇ МОВИ ЯК ІНОЗЕМНОЇ
Authors: Коновальчук Надія 
Published: October 2024

У статті висвітлюються можливості застосування технологій на основі штучного інтелекту для викладання української мови, як іноземної. У представленій роботі проаналізовані джерела за останні 5 років, присвячені технології штучного інтелекту та її застосуванню у галузі освіти, вітчизняних та зарубіжних науковців, розглянуті основні виклики та проблеми, які ставить перед системою освіти розвиток технологій штучного інтелекту, такі як проблема академічної недоброчесності та шляхи запобігання таким випадкам, зміни й впливи, які несе штучний інтелект у суспільство, зокрема в професії викладача та методиста, трансформації методів та стилю роботи представників цих професій, а також можливості, які відкриває перед освітянами штучний інтелект, такі як поглиблення диференційованого підходу та індивідуалізації навчання, створення інклюзивного середовища для студентів із особливими потребами (супровід та допомога таким студентам), позааудиторний супровід та репетиторство студентів, автоматизація освітнього процесу та допомога в адмініструванні, плануванні занять та аналітиці результатів, допомога викладачам і методистам у створенні навчальних матеріалів (інтерактивних ігор, відеофільмів, різних типів завдань тощо). Також приділяється увага можливостям ChatGPT у навчанні мови, наприклад імітація живої бесіди, збагачення лексики, відпрацювання граматики з наступним аналізом та розбором помилок, пошук текстів та відео певної тематики тощо. Також приділяється увага потенціальним можливостям штучного інтелекту для вивчення української мови та літератури, наприклад відтворення особистостей діячів науки та культури для інтерв’ювання їх студентами, створення штучних особистостей для відпрацювання навичок професійного та побутового спілкування та ін. Піднімається питання академічної доброчесності та викликів, які ставить розвиток технологій штучного інтелекту, необхідність упровадження нових форм та методів контролю, здатних запобігти випадкам академічної недоброчесності: перевага усного опитування над іншими формами контролю, проведення дискусій зі студентами на тему завдання, вимагання виходників (чернеток) завдання тощо.
ШКІЛЬНА ГРОМАДЯНСЬКА ОСВІТА ЯК ЧИННИК УТВЕРДЖЕННЯ УКРАЇНСЬКОЇ ГРОМАДЯНСЬКОЇ ІДЕНТИЧНОСТІ УЧНІВ
Authors: Рябовол Лілія 
Published: October 2024

Шкільну громадянську освіту репрезентовано як систему у сукупності таких компонентів: педагогічно адаптовані наукові знання про демократію, громадянське суспільство, правову державу, права, свободи та обов’язки людини і громадянина; вміння і досвід брати активну, свідому й відповідальну участь в житті суспільства і держави; громадянські цінності / цінності демократії та сприйняття їх учнями як особистих ціннісних орієнтирів. Встановлено, що концептуально та змістовно громадянська освіта дає змогу задовольнити потребу українського суспільства в імплементуванні європейських цінностей, а також надати відповіді на глобальні виклики і загрози, які постали перед Україною у зв’язку з повномасштабною збройною агресією рф, зокрема щодо забезпечення стійкості під час війни та повоєнного відновлення України як суверенної, незалежної і демократичної держави. На основі західної / європейської моделі (сitizenship education) запропоновано узагальнену модель навчання громадянської освіти на рівні базової середньої освіти, у рамках якої: метою навчання є розвиток громадянських якостей особистості, громадянських та соціальних компетентностей; змістом – сукупність громадянських знань, умінь, цінностей та ставлень, інтегрованих у зміст навчальних предметів громадянської та історичної освітньої галузі (історії та основ правознавства) з реалізацією міжпредметних зв’язків з іншими освітніми галузями, зокрема мовно-літературною; передбачено застосування інтерактивних та інформаційно-комунікативних технологій, проблемного навчання, проєктної діяльності, пріоритет надається практичним заняттям. Акцентовано на створення демократичного шкільного середовища як компонента моделі та відповідної організаційно-педагогічної умови ефективної шкільної громадянської освіти.