bluuebunny/crossref_metadata_2025 huggingface dataset:
Japanese and Chinese Lexical Borrowing as an Outcome of Language Contact and Influence
Authors: Liu Xuexin
Published: April 2024

As a commonly observed phenomenon, no language has not borrowed lexical items from some other language(s), just as no culture has developed with no influence from some other culture(s). There have been numerous studies of linguistic borrowing to explore why a particular language incorporates some linguistic elements from another language into its linguistic repertoire. This is known as a phenomenon of linguistic transference. Abundant research findings provide strong evidence that such a transference most commonly occurs in the realm of vocabulary because the borrowing language (i.e., the recipient language) incorporates some cultural items or conceptual elements and the names along with them from some external source. More specifically, this particular linguistic phenomenon is recognized as lexical borrowing. From some cross-linguistic and cross-cultural perspectives, this study describes and explains lexical borrowing in terms of linguistic transformation as an outcome of language contact. Linguistic transformation is defined as adaptation of one linguistic form in one language to another linguistic form in another language. Language contact is defined as the phenomenon where two languages come into contact at various cross-linguistic and cross-cultural levels. Based on the representative examples as observed in contemporary Japanese and Chinese lexical borrowing, this paper presents a case study of such a particular language contact phenomenon by categorizing the borrowed lexical items into several areas of language contact. It describes linguistic transformation in terms of phonological/morphological adaptation and semantic transfer/creation/substitution. Thus, this study presents a model of lexical borrowing through language contact and its linguistic outcome.
“Graphical Password Authentication using Blockchain”
Authors: Deshmukh P. S. , Dhakane Manish , Ghute Atharv , Gadge Dipesh , Wankhade Sarthak
Published: April 2024

Abstract: This paper proposes a novel approach to authentication by integrating graphical passwords with blockchain technology. By storing authentication data on the blockchain, we aim to enhance security and accountability. Our system offers tamper-proof records and decentralized authentication, contributing to improved security in digital systems.
AI-Powered Disease Detection and Growth Monitoring System Using IoT for Improved Tomato Yield
Authors: Sivakumar Dr. P.
Published: April 2024

Abstract: This project introduces an advanced AI- powered disease detection and growth monitoring system designed specifically for enhancing tomato yield. With Internet of Things (IoT) technology, the system integrates Raspberry Pi as the central processing unit with temperature and humidity sensors for environmental monitoring. AI algorithms are used to predict tomato ripening stages and detect diseases, to ensure proactive management of plant health. If a disease is identified, the system provides the solutions to control its impact, thereby enhancing yield and quality. The captured data is analysed and results are displayed on a user-friendly webpage accessible to farmers, enabling informed decision-making and improved agricultural practices. This innovative approach combines technology with agricultural expertise, offering a solution to the challenges faced by tomato farmers and contributing to sustainable tomato production. Keywords: Image Recognition, Disease Detection
Convolutional Neural Networks Based Paddy Leaf Disease Detection
Authors: Poornima M.
Published: April 2024

Abstract: This study proposes a novel approach for detecting paddy leaf diseases through the integration of Convolutional Neural Networks (CNNs). The process begins by converting input RGB images into HSV color space, where the saturation component is extracted. Subsequently, a binary image is generated, followed by background removal to enhance the accuracy of segmentation. The background-removed image is then converted back to the HSV color space for further processing. Kmeans segmentation is applied to segment the leaf regions effectively. The CNN architecture is employed for classification, categorizing the detected regions into various disease classes such as Healthy, Sheath Rot, Bacterial Leaf Blight, Brown Spot, and Leaf Blast. Additionally, a voice output feature is incorporated to provide audible feedback on the detected diseases. The study focuses on evaluating the accuracy of disease classification, aiming to demonstrate the effectiveness of the CNN approach in improving performance and reducing misclassifications compared to traditional methods. Overall, the proposed methodology offers a promising solution for accurate and efficient paddy leaf disease detection, with potential applications in agricultural management and crop protection
A Kotlin and Firebase Based Project Discovery Platform with Cosine Similarity-Based Recommendation
Authors: Utikar Prof. Avinash A.
Published: April 2024

Abstract: In today's interconnected world, mobile applications have become integral to our daily lives, revolutionizing how we communicate, work, and collaborate. we present an Android application utilizing Kotlin, Firebase, and a cosine-based recommendation system to address the challenge of project collaboration and discovery. The application aims to provide users with a seamless and personalized experience, empowering them to discover, collaborate on, and contribute to projects aligned with their interests and expertise. By integrating Firebase, the application ensures real-time data synchronization, secure authentication, and cloud storage capabilities, enhancing user experience. The implementation of a cosine-based recommendation system further enhances project discovery by analyzing user profiles and project data to generate personalized recommendations. This paper offers insights into the architecture, methodology, and implementation details of the Android application, highlighting its innovative features and technologies for collaborative project management.
Effective Role of Digital and Social Media Marketing on Consumer Behavior
Authors: Singh Dr Shyamsunder S
Published: April 2024

This research paper investigates the effective role of digital and social media marketing on consumer behavior based on the results of a survey conducted among 100 participants. The survey aimed to explore the perceptions and behaviors of consumers regarding social media and its impact on brand positioning. The findings indicate a positive correlation between social media marketing and brand position, shedding light on the significance of digital platforms in influencing consumer behavior. Through a detailed analysis of the survey results, this paper provides valuable insights for marketers seeking to leverage digital and social media channels effectively to enhance brand positioning and consumer engagement.
Enhanced Circularly Polarized Antenna for Body Centric Communication
Authors: Rao Dr. K. Babu
Published: April 2024

Abstract: This study introduces a miniaturized circularly polarized ultra-wideband (UWB) antenna designed specifically for body-centric communication applications, with a focus on its performance across different frequencies. Fabricated on jean fabric, the antenna offers exceptional flexibility and seamless integration into clothing, making it ideal for wearable devices. The design achieves circular polarization through the utilization of an asymmetric stepped L-shaped ground plane and a crossshaped stub integrated into the radiator structure.Operating across the UWB frequency spectrum ranging from 3 GHz to 9.5 GHz, the antenna exhibits consistent and reliable performance in terms of gain, radiation pattern, and current distribution. ensuring effective signal transmission and reception. Importantly, the antenna complies with FCC specific absorption rate (SAR) limits, ensuring safety in wearable applications.Throughout the frequency range, the antenna maintains an omnidirectional radiation pattern, facilitating reliable on-body communication regardless of orientation. This characteristic is crucial for maintaining connectivity and signal quality in body-centric communication systems.Analysis of the current distribution confirms the antenna's effectiveness across different frequency bands, further validating its performance and suitability for body-centric communication applications.
Academic Matcher- The College Predictor
Authors: Dhavale Rajeshwari , Ugale Prathmesh , Hanwate Arjun , Umare Mandar
Published: April 2024

Abstract: The College Predictor is a windows application where, students can look for CET cut-off for previous year of engineering colleges across Maharashtra, India. However, some students may not understand and are confused which college to prefer. Several factors are considered to get selected in engineering colleges. Academic matcher is an important construct which help students to search colleges according to their CET exam score, caste category and region preference. The aim of Academic Matcher is to help students with their college shortlisting. Students spend a lot of money on admission consultants. This application gives an instant prediction on possible engineering colleges a student can get an admit according to the student's input and save their time. This Academic Matcher helps students save time and money. The college admission of a student will be predicted using the best machine learning algorithm.
Mapping research trends on development of scientific literacy assessment: A bibliometric analysis
Authors: Hadiastriani Yasmine , Djarot Prasetyorini
Published: April 2024

This study conducts a bibliometric analysis to map the research trends and intellectual landscape surrounding the development of scientific literacy assessments in educational contexts from 2019 to 2023. Scientific literacy, which encompasses the ability to comprehend, evaluate, and apply scientific knowledge, has emerged as a crucial competency in science education. However, existing assessment tools often prioritize factual recall over deeper conceptual understanding and critical thinking abilities. To address this gap, there is a need for innovative assessment approaches that holistically evaluate students' scientific literacy across multiple dimensions. Through a systematic analysis of 185 relevant publications from the Scopus database, this study investigates the numerical distribution of literature by year, document type, journal, author, institution, and country. Additionally, it explores the prominent themes, evolving topic trends, and emerging clusters within the scientific literacy assessment research domain. Bibliometric techniques, including citation analysis, co-authorship networks, and keyword co-occurrence mapping, are employed to provide a comprehensive perspective. The findings reveal a steady increase in publications focused on scientific literacy assessments, reflecting the growing recognition of this research area. The analysis identifies highly influential journals, articles, authors, and institutions actively shaping the field. Furthermore, it highlights key research themes, such as secondary education, teacher professional development, and information literacy. However, the integration of scientific literacy assessments with artificial intelligence remains an underexplored area, presenting opportunities for future research.
Through the `queering' glass: looking at science communication from a queer lens
Authors: Kankaria Siddharth
Published: April 2024

`Queering Science Communication' offers a kaleidoscopic collection of queer insights that both inform and question the field of science communication. Edited by Lindy A. Orthia and Tara Roberson, the book covers a diverse range of topics including LGBTQIA+ representation in science and science communication; examples of science engagement interventions designed for queer audiences; the positive and negative impacts of science (communication) on queer lives; as well as ways of queering the practice, research and teaching of science communication. Despite adopting a predominantly queer lens, this book offers various learnings for engaging a broader spectrum of marginalised identities and for eventually moving towards a more inclusive, pluralistic and reflexive science communication field.
Religious Conflict Management: A Study on the Ansor Youth Movement and Muhammadiyah in Lamongan, Indonesia
Authors: Huda Sholihul , Al Amin Mukayat , Muhsinin Mahmud
Published: April 2024

Violence in the name of religion continues to sprout within Indonesian society. This article aims to describe the religious conflict resolution model of the NU Ansor Youth Movement and the Muhammadiyah Youth of the Paciran Lamongan Branch. This research employs a qualitative method with a sociological approach to religion, and data collection was conducted through interviews and the study of relevant literature. The findings of this study indicate that: 1) Both the NU Ansor Youth Movement and Muhammadiyah Youth reject violent models of preaching. 2) There is a difference in attitude towards perpetrators of violence, where the NU Ansor Youth Movement tends to adopt a non-accommodative firm stance, unequivocally rejecting and insisting that perpetrators of violence must be punished according to legal statutes, whereas Muhammadiyah Youth exhibits a firm-accommodative attitude, sternly condemning acts of violence but remaining willing to embrace and invite the perpetrators back to a tolerant and inclusive understanding. 3) The media of resolution employed include issuing advisory letters, press releases to the media, dialogues among community elements, conveying deradicalization insights through religious study sessions (Yasinan and Tahlilan), and the formation of Densus 99 Anti-Terror. 4) The conflict resolution model consists of two stages: long-term, aiming to build cadre awareness of the importance of a tolerant attitude and peaceful living through education, training, social and economic empowerment, ideological development, and the distribution of cadres to the public domain; and short-term, wherein preaching programs are executed sporadically and reactively at the time or after acts of violence to prevent the expansion and escalation of conflict.
When Non-Muslims Visit Muslims: A Study of Ethnic Chinese Pilgrimage Practices at Ong Tien's Grave in Astana Village, Cirebon
Authors: Warto'i Warto'i
Published: April 2024

Cirebon, one of the areas that still preserves traditions from ancient times to the present, upholds pilgrimage as one such tradition. This article highlights a pilgrimage phenomenon whose tradition remains in Cirebon Regency. In Cirebon's pilgrimage tradition, which is quite 'unique,' the Chinese ethnic group carries out a pilgrimage when visiting the grave of Ong Tien in Astana Village, Gunung Jati Subdistrict, Cirebon Regency. According to local beliefs, Ong Tien, a descendant of the Chinese ethnicity, embraced Islam and was one of the wives of Sunan Gunung Jati. In this study, three religious adherents visit Ong Tien's grave: Buddhists and followers of Confucianism. Several questions are outlined: First, what are the beliefs of the Chinese ethnic group when visiting Ong Tien's grave? Second, what are the purposes of the Chinese ethnic group visiting Ong Tien's grave? And third, what activities do the Chinese ethnic group carry out when visiting Ong Tien's grave? I answer these questions using a Social-Anthropological approach. In analyzing the data, I employ a qualitative descriptive analysis method, aiming to explain and analyze the phenomenon of pilgrimage carried out by non-Muslims at Ong Tien's grave
Civitas: expresiones de la ciudad en la Edad Moderna
Authors: Truchuelo García Susana , López Vela Roberto , Torres Arce Marina
Published: April 2024

La creciente complejidad de lo urbano en el Antiguo Régimen quedó plasmada en intereses plurales protagonizados por una diversidad de actores y poderes cuya acción simultánea comportó tensiones que exigieron cambios y continuas reformulaciones de los equilibrios establecidos en todos los ámbitos. En este mundo en transformación, se potenció el orden como garantía de la estabilidad y del bien común de la comunidad política de la ciudad, reforzándose la policía urbana y promocionándose espacios religiosos, culturales, políticos y económicos que contribuyeron a redefinir y reordenar los comportamientos, las actividades y, en definitiva, las experiencias de las gentes de las ciudades. Paralelamente, las ciudades se interesaron por reforzar sus señas de identidad en el complejo cosmos de la Europa moderna, diseñando un conjunto de representaciones que les individualizaban a través de la construcción de una memoria y de unos símbolos que les hacían únicas. Civitas: expresiones de la ciudad en la Edad Moderna trata de ese universo urbano en transformación. Las doce investigaciones de especialistas en el mundo urbano europeo del Antiguo Régimen que conforman este libro ofrecen una imagen contrastada y polifacética de las civitas en la Europa moderna. Sus estudios se articulan en torno a cuatro miradas que intentan captar la expresión de esos impulsos que, en distintos momentos, movieron a las ciudades y a sus gentes en un dinámico proceso creador de actividades, orden, alteración y representaciones.
THE INFLUENCE OF THE BIG FIVE PERSONALITY ON THE PSYCHOLOGICAL WELL-BEING OF CHILDREN IN AGAINST THE LAW
Authors: Umbas Felisia Divina Jessy , Andhini Luh Putu Ratih , Utami Ni Made Sintya Noviana
Published: April 2024

This study aims to determine the influence of big five personalities on psychological well-being in Law-Facing Children at LPKA. This study uses the psychological well-being scale and the big five inventory scale. The subjects in this study amounted to 35 ABH, the method used is quantitative with probability sampling techniques with a simple random sampling design. The hypothesis test used is a simple linear regression test. The results showed that there is an influence of the big five personalities on psychological well-being. This research is expected to be able to help the subject, the environment and the LPKA to understand and strive for the subject's psychological well-being.Keywords: psychological well-being, big five personality, anak berhadapan hukum (ABH), lembaga pembinaan khusus anak (LPKA)
WORKPLACE WELLBEING AND WORK ENGAGEMENT AMONG GENERATION Z EMPLOYEES IN PT X: THE ROLE OF PSYCHOLOGICAL CAPITAL AS A MODERATOR
Authors: Gozali Vanesa Aprilia , Zamralita Zamralita , Lie Daniel
Published: April 2024

This research aims to examine the role of psychological capital as a moderator in the relationship between workplace well-being and work engagement. Researchers used three measuring tools, namely: the Workplace Well-being Questionnaire (WWQ), the Utrecht Work Engagement Scale (UWES-9), and the Psychological Capital Questionnaire. The subjects in this research were employees from one of the manufacturing companies, namely PT X, and they totaled 144 participants. The method employed was non-experimental quantitative, utilizing convenience sampling (a non-probability sampling techniques) for data collection and employing Moderated Regression Analysis (MRA) for analysis. The results obtained by the researchers indicated that psychological capital plays a role in strengthening the relationship between well-being at work and work engagement. It is hoped that this research can help companies to facilitate, direct and improve work engagement.
HEALTH SERVICES FOR PEOPLE WITH MENTAL DISORDERS DURING THE COVID-19 PANDEMIC: A SCOPING REVIEW
Authors: Kusumah Indra
Published: April 2024

The global COVID-19 pandemic has significantly disrupted healthcare delivery, with mental health services facing the compulsion to innovate rapidly. This scoping review aims to systematically gather literature-based evidence that can guide governments and healthcare providers in their response to the mental health needs arising during the pandemic.   Using a scoping review methodology, this study aggregates and examines data on mental health services for individuals with mental disorders amid the COVID-19 crisis. A strategic search across electronic databases such as ScienceDirect, Ebscohost, and Google Scholar utilized key terms "People with Mental Illness AND Health Service AND Pandemic COVID-19," in addition to Indonesian equivalents, to ensure a comprehensive collection of relevant articles. Selection criteria were strict, focusing on primary research, English-language, full-text articles published within the years 2020 to 2021. Upon analyzing six pertinent journal articles, it was determined that there has been a notable shift towards the utilization of online platforms for delivering mental health services during the pandemic, complementing the persisting, albeit limited, offline, in-person services conducted under stringent health safety protocols. This adaptation reflects the resilience of the mental health sector in maintaining service delivery amidst the constraints imposed by the ongoing health emergency.
Modeling and Time-Optimal Control of an Experimental Hybrid Dynamic System
Authors: Gatzke Edward , Wang Hainan
Published: April 2024

Optimization of hybrid dynamic systems typically involves characterizing
switching times and mode sequences. Operating autonomous hybrid systems
with varying event timings presents multiple challenges. Complexity
often arises from optimal mode sequence determination, making
optimization of the corresponding hybrid automaton more difficult. An
experimental autonomous hybrid dynamic system experiencing switching due
to choked flow conditions is presented. Implementing gradient-based
optimization algorithms may be difficult due to complex switching
patterns of the hybrid dynamic systems. To mitigate this, an
approximation of the Heaviside step function is applied to transform the
hybrid switching functions to a continuous and smooth forms. Using the
Control Vector Parameterization (CVP) approach and evaluating gradients
using the variational method, an open-loop time-optimal control problem
is presented. Modeling and control methods are demonstrated using an
experimental two-tank air system. The optimal control formulation can
include constraints to avoid specific undesirable modes of operation.
Scale-free Dynamics of Resting State fMRI microstates
Authors: Erbil Nurhan , Deshpande Gopikrishna
Published: April 2024

Functional significance of RSNs is examined via simultaneous EEG-fMRI
studies on the basis of relation of RSNs with different frequency bands
of EEG and EEG based microstate analysis. In this study we try to
identify RSNs from microstates of cortical surface maps of BOLD signal.
In addition the scale-free dynamics of these map sequences were also
examined. The structural and resting state functional MRI images were
acquired on a 3T scanner with three different fMRI acquisition protocols
from 7 subjects. Microstate segmentations from EEG, fMRI and simulated
data were performed using Cartool software for each subject separately.
Wavelet-based fractal analysis was performed on map sequence time series
and the Hurst exponent (H) was calculated. By using HRF deconvolved fMRI
time series, the effect of HRF (Hemodynamic Response Function) was on
fMRI-derived microstates was tested. fMRI map sequence has a system
having a memory system smaller than 16s. When HRF was deconvolved, the
duration of the memory of the system was reduced to 4s. On the other
hand, the results of simulation data indicated that these systems are
specific to resting state BOLD signal. Similar to EEG microstates, fMRI
also has microstates and both of them have scale-free dynamics. fMRI
microstates dynamics have 2 different components, one is related to HRF
and the other independent from HRF. The significance of fMRI microstates
and their relation with RSNs are needed to further studied.
Data-Driven Approaches for Enhancing Urban Mobility: A Knowledge Engineering Perspective
Authors: Sanchez-Sepulveda Monica V. , Navarro-Martin Joan , Escudero David , Amo-Filva Daniel , Antunez-Anea Felipe
Published: April 2024

Rapid urbanization presents multifaceted challenges to urban mobility,
necessitating innovative solutions for environmental and social
well-being. Despite extensive research, identifying critical urban
hotspots and proposing effective interventions remain active research
areas. This paper presents a knowledge engineering framework leveraging
urban data repositories to identify key infrastructure points and
promote sustainable, accessible mobility. Utilizing advanced data
science techniques, the study focuses on factors influencing pedestrian
and cyclist movements, aiming to foster active transportation and
improve citizens’ health. Through a case study in Barcelona, the paper
demonstrates the efficacy of the approach while maintaining
generalizability. The data-driven analysis explores variations in
accessibility and mobility, addressing affordability issues and barriers
in emerging micro-mobility solutions. These insights contribute to
informed decision-making and policy formulation, facilitating global
transitions towards sustainable urban futures.
Daylight photoluminescence imaging of photovoltaic systems using inverter-based switching
Authors: trupke t , Weber Juergen W. , Kunz Oliver , Knaack C. , Chung D. , Barson A. , Slade A. , Ouyang Z. , Gottlieb H.
Published: April 2024

Daylight photoluminescence imaging of crystalline silicon photovoltaic
modules is demonstrated for modules embedded in rooftop and
utility-scale systems, using inverters to electrically switch the
operating point of the array. The method enables rapid and high-quality
luminescence image acquisition during the day, unlocking efficient
performance and quality monitoring without the need to connect specific
electrical hardware or to make any modifications to the system wiring.
The principle of the measurement approach is discussed and experimental
results from a 10 kW residential rooftop system and
from a 149 MW utility-scale photovoltaic power plant
are presented. Measurements were performed using commercial inverters
without modifications to the inverter hardware or firmware. In the case
of the utility-scale power plant, the daylight photoluminescence image
acquisition of modules connected to a central inverter was obtained from
a remote piloted aircraft. Data analysis includes the conversion of
photoluminescence image data into implied voltage differences.
AGU_ComplexCitation_IN43A-06
Authors: Stockhause Martina , Agarwal Deb , Stall Shelley , Wyborn Lesley , Buck Justin , Ayliffe James
Published: April 2024

Within the climate modeling community, the complex citation issue has
been discussed for a decade in the context of research traceability and
data citation/data impact. The traceability requires fine-granular
information on individual datasets, whereas meaningful data impact
analysis relies on data citations on large data collections of data
belonging to and individual model run or to a model experiment. To this
date, it is not yet possible to achieve both goals with one technical
solution. Suggestions for combinations of DOIs on data collections and
user-defined PID collections of data subsets across several DOIs have
not been taken up (see Stockhause et al., 2013).

The IPCC FAIR Guidelines introduced in the Sixth Assessment Report (AR6)
aimed to enhance the transparency of the AR6 and its outcomes by
documenting the figure creation process (Pirani et al., 2022). Many
figures are based on large numbers of datasets hosted in various
repositories. Citing every dataset in the captions is not feasible.
User-defined data collections utilizing data provenance records could be
included in a caption, but lack the information about the authors and
funders of the individual objects required for data citation and data
impact analysis.

The exchange on complex citation difficulties intensified at the AGU
2020 within the Community of Practice and led to the establishment of
the RDA Complex Citation Working Group (WG). The WG brings all
stakeholders together. It aims to provide recommendations for citing a
large number of existing objects in a way that allows to properly assign
credit for individual objects.
Directional Breaking Kinematics Observations from 3D Stereo Reconstruction of Ocean Waves
Authors: Akaawase Bernard , Romero Leonel , Benetazzo Alvise
Published: April 2024

Short ocean surface waves are important for remote sensing, air-sea
exchange, and underwater acoustics. The energy spectrum at scales much
shorter than the dominant waves are azimuthally bimodal. However, widely
used wave models fail to reproduce the bimodality of the short gravity
waves. Recent studies have shown that an azimuthally narrow dissipation
due to breaking can significantly improve model performance. Thus,
highlighting the importance of the directional energy balance of wave
models. We utilized stereo visible imagery to quantify the directional
wave-breaking kinematics and compare them against the energy spectrum
and different dissipation parameterizations and model solutions. The
results show that wave-breaking is azimuthally unimodal and narrower
than the bimodal energy spectrum, suggesting that wave-breaking
dissipation combines with the nonlinear energy fluxes due to wave-wave
interactions to yield enhanced bimodality. The findings are useful for
constraining energy dissipation parameterizations for spectral wave
models and improved understanding of air-sea fluxes.
Detecting Fraud in Automated Teller Machine Transactions in the Nigerian Bank System Using Unsupervised Deep Learning
Authors:   Department of Computer Science and Engineering  Ladoke Akintola University of Technology Ogbomoso, Oyo State, Nigeria, Ojulari Hakeem Olusegun , Oke Alice Oluwafunke , Arulogun Oladiran Tayo
Published: April 2024

Automated Teller Machines (ATMs) are globally adopted for financial transactions. However, the exponential rise in ATM fraud poses a significant risk to Nigeria's digital payment and banking systems, with many banks failing to provide intelligent services to ATM customers. Moreover, existing research predominantly employed supervised learning on labelled data for ATM fraud detection, overlooking unlabelled customer-clustered transaction data. In this study, customer-clustered transaction attributes were employed with unsupervised autoencoder deep learning models to develop a fraud detection system. Three years of historical transaction data were obtained from a selected Nigerian bank's ATM transaction repository, consisting of 1.2 million transaction records from 10 bank customers. The transaction features considered in this work included CardNo, Amount, TransType, BranchCode, and TransDateTime. H2O autoencoder deep learning models, and anomaly detection algorithms were adopted to uncover underlying patterns in ATM transactions. The results indicated a remarkable overall system performance, with an average Mean Squared Error (MSE) of 0.0057, accuracy of 97.6%, precision of 94.8%, recall of 93.5%, and an F1-score of 94.0%. Individual model assessments revealed slightly lower performance for specific customer clusters. The study's findings emphasized the efficacy of unsupervised deep learning in combatting ATM fraud within the Nigerian banking system. Keywords: ATM, H2O.ai, Unsupervised Learning, Deep Learning, Autoencoder, Fraud detection CISDI Journal Reference Format Ojulari, H.O., Oke, A.O. & Arulogun, O.T. (2024): Detecting Fraud in Automated Teller Machine Transactions in the Nigerian Bank System Using Unsupervised Deep Learning. Computing, Information Systems, Development Informatics & Allied Research Journal. Vol 15 No 2, Pp 1-... dx.doi.org/10.22624/AIMS/CISDI/V15N2P1. Available online at www.isteams.net/cisdijournal
CROSS-BORDER ACTIVITY OF RESIDENTS OF BORDER REGIONS IN THE EUROPEAN UNION (A CASE STUDY OF LITHUANIANS IN THE POLISH BORDER MARKET)
Authors: Batyk Iwona
Published: April 2024

Aim: The study analyzes the cross-border activity of Lithuanians in the Polish border market and the sociodemographic factors determining such activity. Methods: A total of 328 respondents participated in interviews conducted from December 2022 to January 2023. Non-parametric tests were used to analyze the data. The research questions included in this study are as follows – Q1: What are the preferred areas of cross-border activity of Lithuanian residents in the Polish border market?; Q2: What socio-demographic factors determine the cross-border activity of Lithuanian residents in the Polish border market? Results: The results show that the respondents were most active in border trade, tourism, and social relations between regional residents. Age, place of residence, and household size had no significant effect on any of the analyz­ed areas of cross-border activity of Lithuanians in the Polish border market. Education, professional status, and monthly income had a statistically significant effect on cross-border trade activity, while tourism was significantly statistically affected by gender and education. Conclusions: Cross-border activity fosters the development of border trade and tourism, as well as the creation of links between local communities living in border areas that strengthen neighborly relations. Border trade should encourage entrepreneurs to seek innovative and socially responsible practices that support the sustainable economic development of a country or region. The study provides evidence in the context of realizing cross-border activity that supports residents of border regions in adapting to dynamically changing geopolitical conditions.
SIMILARITIES AND DIFFERENCES IN THE GREEN ATTITUDES OF CONSUMERS FROM DIFFERENT AGE GENERATIONS – INTERNATIONAL COMPARISONS
Authors: Błoński Krzysztof , Dąbrowska Anna , Shulhina Liudmyla
Published: April 2024

Aim: To aim of this paper is to identify similarities and differences in the pro-environmental attitudes of consumers from different countries, as well as being representatives of different age cohorts. Methods: The analyses are based on the results of surveys conducted in four European countries (Germany, Italy, the Czech Republic, and Poland). An international quantitative survey using the author’s survey questionnaire was conducted using the CAWI technique on a sample of a total of 2,566 respondents. Association rules, which are among the data mining tools used to build descriptive models, were used in the data analysis. Results: The results presented in this study allow us to distinguish patterns of behavior in terms of pro-environmental attitudes and actions, as well as similarities and differences by age and place of residence in this respect. Respondents from older age groups (i.e., ‘Baby Boomers’ and ‘Generation X’) are significantly more likely to declare taking pro-environmental actions than respondents from younger age groups (i.e., ‘Generation Y’ and ‘Generation Z’). The opposite situation can be observed in the case of negative answers regarding taking pro-environmental actions. Conclusions: The authors of the study believe that the study should be repeated to check whether the declared attitudes and behaviors are the result of a specific situation that differs from other periods (the study was carried out during a pandemic) or whether they are of a constant nature, allowing us to see differences in consumer behavior between age groups and countries. Another possible direction under considera­tion for further research is to analyze the undecided group in more detail in order to determine the reasons for this.
RELACJE PORELATIONS BETWEEN AGRICULTURAL BUDGET POLICY AND FISCAL POLICY IN POLAND AFTER ACCESSION TO THE EUROPEAN UNION (2004–2022)MIĘDZY POLITYKĄ BUDŻETOWĄ WOBEC ROLNICTWA A POLITYKĄ FISKALNĄ W POLSCE PO AKCESJI DO UNII EUROPEJSKIEJ (2004-2022)
Authors: Czyżewski Andrzej , Kata Ryszard , Matuszczak Anna
Published: April 2024

Aim: The paper evaluates Poland’s budget policy towards agriculture through the prism of agricultural budget expenditure under the conditions of Poland’s membership in the European Union (EU). The volume and real dynamics of agricultural budget expenditure in relation to state budget expenditure were analyzed. An answer was sought to the question of whether the active or passive nature of budget policy toward agriculture is consist­ent with the state fiscal policy option (expansive or restrictive). Methods: The relatively long period of analysis (covering 19 years, 2004–2022) allows us to see trends in the formation of the level and structure of agricultural budget expenditure and state budget expenditure, as well as to determine their mutual relations. Simple statisti­cal methods – structure and dynamic analysis – were used. Results: It is shown that the budget policy towards agriculture is characterized by a peculiar difference and independence from the state fiscal policy, which is mainly due to the great importance of the funds of the Common Agricultural Policy for the level and structure of agricultural budget expenditure. Conclusions: It was found that the level of support for agriculture in Poland from public funds (domestic and EU) in 2004–2022 was not directly dependent on the state budget situation. During the period, there were numerous changes in the state’s fiscal policy options and changes in the budget policy options towards agriculture, with these changes going in different directions quite often.
FINANCIAL AND MATERIAL EFFECTS OF SME INVESTMENTS UNDER OPERATIONAL PROGRAMS IN 2014–2020 IN POLAND
Authors: Pomianek Iwona
Published: April 2024

Aim: The importance of SMEs for the Polish economy, their financial condition, and the rules of allocating EU funds to beneficiaries raise the question of the effects of SMEs’ participation in the EU regional policy support. As the matter has not been investigated from the financial perspective of 2014–2020 so far, the study aims to fill this gap. Method: The database included 5679 investments carried out by SMEs located in Mazovian Voivodeship, Poland. The qualitative data included inter alia, information on the main beneficiary type, the exact location and title of the project, the name of the operational program, and its priority and action. Quantitative data included the total value of the investment as well as the value of qualified costs and EU funding. Standard qualitative data analysis (QDA) was applied to analyze the textual information of the entries, while descriptive statistics and comparative analysis were used to make conclusions based on the quantitative data. Results: SMEs in Mazovian Voivodeship (Poland) were very active beneficiaries of operational programs in 2014–2020, which is confirmed by the main financial and quantitative effects of their investment activity. As of March 31, 2023, the total value generated in projects by micro, small, and medium-sized enterprises equaled 10.5 billion PLN. The SMEs’ investments covered a wide range of topics, supporting both the development of enterprises themselves and, at the same time, the social, eco­nomic, and environmental development at the local and regional levels. However, some of the actions under operational programs supported this sector during COVID-19 to enable its survival and further functioning. Conclusions: All three subcategories of SMEs, i.e., micro, small, and medium-sized enterprises in Mazovian Voivodeship, benefitted from the EU support, carrying out projects of different values, scopes and thematic profiles, irrespective of their legal form.
Biochar from agricultural biomass: Green material as an ecological alternative to solid fossil fuels
Authors: Vukicevic Emilija , Isailovic Jelena , Gajica Gordana , Antic Vesna , Jovancicevic Branimir
Published: April 2024

The stalks left after harvesting corn, tomatoes, and tobacco have no further use and are usually burned on agricultural land. In our work samples of this waste were collected and pyrolyzed at 400 ? for 30 min in a nitrogen atmosphere. The solid residue (biochar) obtained by pyrolysis was analyzed, and the results were compared with widely used solid fuels such as wood, coal, coke and charcoal. The heat values of biochar from tomato, tobacco, corn ZP 6263, and corn BC 398 stalks were 24.12, 23.09, 26.24 and 25.78 MJ kg-1, respectively. These values are significantly higher than the heat value of wood, which is about 12.50 MJ kg-1. The ash content of biochar was 12?20 %, which is consistent with the ash content of solid fuels. No heavy metals were found in biochar samples. The results show that biochar obtained from the pyrolysis of agricultural waste, such as tomatoes, tobacco and corn stalks, has good potential for use as a solid fuel.
Ten Years of Improving Glycemic Control in Pediatric Diabetes Care: Data From the Norwegian Childhood Diabetes Registry
Authors: Bratke Heiko , Biringer Eva , Ushakova Anastasia , Margeirsdottir Hanna D. , Kummernes Siv Janne , Njølstad Pål R. , Skrivarhaug Torild
Published: April 2024

OBJECTIVE

To evaluate, from 2013 to 2022, how HbA1c, the incidence of acute complications, and use of diabetes technology changed at the national level in Norway and how glycemic control was associated with use of diabetes technology, carbohydrate counting, or participation in a quality improvement project.

RESEARCH DESIGN AND METHODS

This longitudinal observational study was based on 27,214 annual registrations of 6,775 children from the Norwegian Childhood Diabetes Registry from 2013 to 2022. Individuals aged >18 years, those with diabetes other than type 1, and those without HbA1c measurements were excluded. The outcome measure was HbA1c. The predictor variables in the adjusted linear mixed-effects model were 1) the use of diabetes technology, 2) the use of carbohydrate counting for meal bolusing, and 3) whether the patient’s diabetes team participated in a quality improvement project.

RESULTS

Mean HbA1c decreased from 8.2% (2013) to 7.2% (2021), and the proportion of youth reaching an HbA1c <7.0% increased from 13% (2013) to 43% (2022). Insulin pump use increased from 65% (2013) to 91% (2022). Continuous glucose monitoring (CGM) use increased from 34% (first recorded in 2016) to 97% (2022). Insulin pump, CGM, and carbohydrate counting were associated with lower HbA1c and higher achievement of glycemic targets. Girls had a higher mean HbA1c than boys. Mean HbA1c levels were lower in clinics that participated in a quality improvement project for the following 4 years after the project.

CONCLUSIONS

Diabetes technology, carbohydrate counting, and systematic quality improvement in pediatric departments led to improved glycemic control.
Okul Kültürünün Okullarda Profesyonel Öğrenme Topluluğu Oluşumunu Yordama Gücü
Authors: Türkmen Mine , Yurtseven Nihal
Published: April 2024

Bu araştırma öğretmenlerin ve yöneticilerin okul kültürü ve profesyonel öğrenme topluluğu (PÖT) oluşumu algıları ile okul kültürünün PÖT oluşumunu yordama gücünün incelenmesi amacıyla yapılmıştır. Araştırmada nicel araştırma modellerinden tarama modeli kullanılmıştır. Araştırma 2019-2020 öğretim yılı bahar döneminde İstanbul ili Bakırköy, Beşiktaş, Başakşehir, Kadıköy ilçelerinde bulunan ilkokul, ortaokul ve liselerde görev yapan, maksimum çeşitlilik örneklemesi tekniğiyle seçilen 241 öğretmen ve 52 yönetici ile gerçekleştirilmiştir. Bu amaçla, araştırmanın verileri Okul Kültürü Ölçeği ve Profesyonel Öğrenme Topluluğu Ölçeği ile toplanmıştır. Elde edilen verilerin analizi, frekans, yüzde, ortalama gibi betimleyici istatistiklerin yanı sıra Pearson korelasyon testi ve basit doğrusal regresyon testi ile gerçekleştirilmiştir. Araştırma bulgularına göre öğretmenlerin okul kültürüne ilişkin algıları ile PÖT oluşumu algıları arasında anlamlı bir ilişki olduğu ortaya çıkmıştır. Okullarda okul kültürünün güçlendirilmesinin PÖT’ün oluşturulmasına ve geliştirilmesine katkı sağlayacağı görülmektedir. Bu konuda politika belirleyiciler okul kültürü ve PÖT oluşturma alanlarına yönelik öğretmen ve yöneticilere hizmet içi eğitim faaliyetleri planlamaları tavsiye edilebilir. Okullarda öğretmenlere iş birliğine dayalı planlamalar yapma fırsatı verilerek öğretmenlerin ve yöneticilerin PÖT’lerin bir parçası olmaları sağlanmaları önerilebilir.
LKPD Berpendekatan PjBL Pada Materi Keseimbangan Ekosistem Kelas V SD
Authors: Widyastari Yuni , Ni Wayan Rati  , I Nyoman Laba Jayanta
Published: April 2024

Pemanpaatan LKPD yang sudah tersedia dibuku siswa dalam proses pembelajaran membuat siswa merasa bosan saat pembelajaran daring. Mengingat hal tersebut perlunya pengembangan media LKPD yang sesuai dengan kebutuhan siswa. Tujuan penelitian ini untuk menghasilkan prototype perangkat pembelajaran, mengembangkan perangkat pembelajaran berupa LKPD berpendekatan PjBL di kelas V SD yang layak dan mengetahui respon siswa. Penelitian ini merupakan penelitian pengembangan yang menggunakan model pengembangan 4D.  Subjek penelitian ini yaitu 2 orang ahli materi, 2 orang ahli desain, 2 orang ahli media, ahli praktisi dan siswa. Sedangkan objek penelitian ini adalah validitas media LKPD yang dikembangkan. Metode pengumpulan data yang digunakan adalah metode kuesioner. Instrumen yang dipakai dalam mengukur tingkat validitas media LKPD berpendekatan PjBL ini adalah rating scale berupa lembar penilaian media LKPD dari ahli. Data yang diperoleh kemudian dianalisis dengan menggunakan rumus persentase guna mengetahui skor persentase validitas media LKPD. Persentase validitas LKPD yang telah di uji coba ke siswa sebanyak 25 orang memperoleh hasil persentase 97,6 % dengan kualifikasi sangat baik. Berdasarkan dari hasil analisis tersebut maka dapat dikatakan bahwa media LKPD berpendekatan PjBL kelas V SD dinyatakan valid dan layak untuk digunakan dalam pemeblajaran di eklas V sekolah dasar.
Model Pembelajaran Kooperatif Tipe Times Game Tournamnt Berbantuan Puzzle Terhadap Kompetensi Pengetahuan IPA
Authors: Pratiwi Ni Putu Dwi Yanti , Putra D. B. KT. Nurah Semara , Asri I. G. A. Agung Sri
Published: April 2024

Penelitian ini bertujuan untuk menganalisis model pembelajaran times game tournament berbantuan media puzzle terhadap kompetensi pengetahuan IPA siswa kelas IV SD. Jenis penelitian ini adalah penelitian kuantitatif dengan rancangan penelitian ini menggunakan eksperimen semu dengan penelitian “Nonequivalent Control Group Design”. Populasi penelitian meliputi seluruh kelas IV SD N yang terdiri dari 5 SD Negeri yang berjumlah 5 kelas, dengan jumlah populasi 199 siswa. Sampel penelitian ini berjumlah 60 siswa yaitu 31 siswa kelas IV yang menjadi kelompok eksperimen dan 29 siswa kelas IV SD yang menjadi kelompok kontrol. Sampel ditentukan dengan teknik random sampling. Data kompetensi pengetahuan IPA dikumpulkan dengan metode tes objektif pilihan ganda biasa. Teknik analisis yang digunakan pada penelitian ini adalah analisis statistik inferensial dengan uji-t. Berdasarkan hasil analisis data, diperoleh thitung sama dengan 5,627 lebih dari ttabel sama dengan 2,000, maka Ho ditolak dan Ha diterima. Hal ini berarti terdapat perbedaan yang signifikan kompetensi pengetahuan IPA antara kelompok eksperimen dan kelompok kontrol dengan rata-rata kompetensi pengetahuan IPA siswa kelompok eksperimen adalah 86,21 dan dengan rata-rata kompetensi pengetahuan IPA siswa kelompok kontrol adalah 80,47. Jadi dapat disimpulkan bahwa terdapat pengaruh yang signifikan model pembelajaran times game tournament berbantuan media puzzle terhadap Kompetensi Pengetahuan IPA siswa kelas IV SD.