bluuebunny/crossref_metadata_2025 huggingface dataset:
Do Horizontal and Vertical Mismatches Affect Workers' Incomes in Cameroon? Results From the Instrumental Variable Models Using the Function-control Approach
Authors: Doubla Joseph Dabo , Hamen Valère Amassangka Haman , Tchaltouang Constant
Published: January 2025

Human capital theory postulates that education improves an individual's productivity and earning potential. However, when there is a mismatch between an individual's education and employment, the return on investment in human capital decreases, resulting in reduced earnings. This paper uses employment data from Cameroon's National Institute of Statistics to examine the wage effects of horizontal and vertical mismatches. To this end, we estimate the augmented Mincer model using the double ordinary least squares method via the control function approach to deal with endogeneity bias and the quantile regression method. The results indicate that the mismatch between education and employment, whether horizontal or vertical, is linked to a wage penalty. In particular, the wage penalty associated with horizontal mismatch is greater than that associated with vertical mismatch. Furthermore, the results reveal that private sector workers suffer greater penalties due to horizontal mismatch, while those in the public sector are more affected by vertical mismatch. Additionally, the results reveal a significant trend towards a greater wage penalty for men than for women.
JEL Classification: I21 ; J24 ; J31 ; J41
The Relationship Between Postpartum Social Support, Postpartum Depression, and Quality of Lifeduring the Puerperium A Study of Primiparas
Authors: Li Heyu , Lu Yang , Tian Yang , Wang Danna
Published: January 2025

Objective This study aims to investigate the interrelationship between postpartum social support, postpartum depression, and quality of life during the puerperium, with a specific focus on primiparas.Methods A cross-sectional survey employing a descriptive correlational design was conducted for this study. A total of 328 primiparas participated in the survey, which utilized a self-developed demographic questionnaire tailored to primiparas, the Postpartum Social Support Scale, the Edinburgh Postnatal Depression Scale (EPDS), and the Brief Version of the World Health Organization Quality of Life Scale (WHOQOL-BREF).Results The total quality of life score for primiparas on the 7th day postpartum was 56.87 ± 7.27, whereas the score at 6 weeks postpartum was 53.19 ± 7.95. Statistically significant differences (P < 0.05) were observed in the scores across various domains and in the total scores between these two time points. The total score for postpartum depression exhibited a negative correlation with postpartum social support and quality of life across all domains (P < 0.05). In contrast, the scores for postpartum social support across various dimensions demonstrated a positive correlation with quality of life scores in all domains during the puerperium (P < 0.05).Conclusion Postpartum social support and postpartum depression are critical determinants of postpartum quality of life. Enhancing social support systems in postpartum care can mitigate the risk of postpartum depression and promote quality of life during the puerperium.
Management of Consumers Embraces Drone Delivery
Authors: Lopes Joao M. , Silva Luis Filipe , Massano-Cardoso Ilda
Published: January 2025

Over the past few years, significant progress has been made in the field of drone technology, leading to its implementation and transformation in various industries. As technology has improved, drones have become increasingly adaptable to numerous tasks, such as delivering packages right to customers’ front doors. As the need for swift and reliable delivery options increases, drone delivery is an option that businesses and consumers alike should consider. This paper studies the underlying factors that influence consumers’ intentions to adopt drone delivery services in Portugal. A quantitative methodology was used, and 155 responses were collected from Portuguese citizens. The findings indicate that perceived usefulness, perceived privacy risk, and attitudes serve as key predictors of user behavioural intentions among individuals in Portugal. Moreover, they highlight that perceived usefulness and perceived privacy risks exert an indirect influence on behavioural intentions through attitudes. Consequently, the comprehensive analysis underscores the significant impact of perceived usefulness on behavioural intentions, with attitudes and perceived privacy risks closely behind. The study uncovers new insights into consumer adoption of drone delivery services. This finding suggests that promoting the advantages of drone technology, emphasising its usefulness, efficiency, and convenience in advertising, can positively impact consumer perception and willingness to adopt. Furthermore, this study indicates that addressing potential consumer concerns about drone delivery, such as privacy, safety, and reliability, is essential. Clear communication about the measures taken to ensure these aspects can mitigate apprehensions and enhance acceptance. Governments play a crucial role in regulating drones to increase trust, protect users, and promote a favourable environment for adoption. Public awareness campaigns led by governments can educate citizens about the benefits and safe use of drones. Transparent communication about regulatory measures, safety features, and the positive impacts of drone technology on society can demystify drones and build public trust.
Online Shopping Behaviour of Slovak During the COVID-19 Pandemic
Authors: Olearova Maria , Bacik Radovan , Iannaccone Barbora , Gavura Stefan
Published: January 2025

Cities and regions worldwide, not only in Slovakia but also across the globe, have implemented various procedures to diminish the spread of the coronavirus, resulting in a profound impact on consumers’ shopping behaviour. With the ongoing pandemic reshaping societal norms, it is unsurprising that consumer behaviour patterns are undergoing a significant shift towards digital platforms to accommodate evolving needs and realities. Consumers have switched from conventional shopping to online shopping because, owing to the increasing risk of coronavirus, customers want to avoid public places, thus increasing their preference for online shopping. Against this backdrop, this paper focuses on the factors influencing consumers’ intentions to engage in online shopping, or e-commerce, amidst the COVID-19 crisis. Specifically, it seeks to explore the role of subjective standards and perceived usefulness in shaping consumer behavior in the online shopping domain. Drawing upon a sample of 250 Slovakian consumers and employing correlation analysis, the study reveals a positive association between internal and external subjective standards and consumers’ propensity to shop online. Spearman’s rank correlation coefficient was applied to verify the statistically significant relationshipsbetween the analysed factors in the hypotheses. Furthermore, the results underscore the pivotal role of the apparent helpfulness of e-commerce services in driving consumers towards online purchases, particularly during the ongoing pandemic. These insights hold considerable significance for e-commerce enterprises, offering valuable guidance in understanding and adapting to prevailing consumer behaviors. By leveraging these findings, businesses can refine their sales and marketing strategies to better align with current consumer preferences, thereby fostering greater effectiveness and competitiveness in the digital marketplace. The transition to digital commerce is, especially at the time of government measures to restrict movement and impose social distancing rules,essential for all businesses, as customers switch from brick-and-mortar stores to online shopping platforms owing to social pressure or because they find it useful. In conclusion, we discuss the research findings, identify the limitations of the study, and propose further research trajectories.
A Critical Study of Metalinguistic Corrective Feedback in the Essays by XII Students of JNV Patan
Authors: Sarkar Soumita , Dave Bharti Girish
Published: January 2025

Corrective feedback (CF) is a vital aspect in the field of English language teaching, which is complex and continually evolving. English language teachers dedicate significant time and effort to provide feedback on students' writing performance. There is an ongoing debate regarding the efficacy of the teachers’ CF to improve the learners’ English writing competency. Empirical studies on CF in the Indian context are scarce. This study looks at how direct focused metalinguistic and non-metalinguistic written corrective feedback (WCF) affects the use of noun inflections in English descriptive essays written by Class XII students of Jawahar Navodaya Vidyalaya, Patan. The study involves two experimental groups and one control group of ten students each; the first group received metalinguistic WCF; the second received non-metalinguistic WCF; and the control group received no feedback. A pretest-treatment-post-test-delayed post-test format was utilized to extract the data. The findings suggest that the teacher's targeted direct metalinguistic WCF led to inconsistent improvements in the learners' written output. However, this approach has certain limitations, including issues related to time frame, scaffolding, personalized feedback, as well as sustained teacher’s monitoring, and other factors pertaining to learners’ proficiency, personality, retention, and revision.
Introduction to string theory
Authors: Maccaferri Carlo , Marino Fabio , Valsesia Beniamino
Published: January 2025

These are lecture notes of the introductory String Theory course held by one of the authors for the master program of Theoretical Physics at Turin University. The world-sheet approach to String Theory is pedagogically introduced in the framework of the bosonic string and of the superstring.
Evaluation of the incidence of optical and physical characteristics on the performance of a Fresnel Linear Collector prototype
Authors: Tarazona-Romero, et. al. B. E.
Published: January 2025

This article aims to evaluate the optical and thermal behavior of a small Fresnel linear concentrator prototype developed under the appropriate technology paradigm. The system was developed by the Energy, Automation and Control Systems Research Group of the Technological Units of Santander, Colombia for water heating. The study of the device was developed from a series of simulations that took into account the optical and thermal factors of the real system, and a series of alternative scenarios that seek to improve the performance of the device were evaluated. The simulation process was carried out by applying the "TRNSYS" Software in order to study the dynamic behavior of the concentrator and the "Soltrace" Software applying the Monte Carlo Ray Tracing method. The results obtained showed that the improvement scenarios proposed to evaluate the optical characteristics of the primary reflection system do not significantly increase the performance of the device, while the optical characteristics applied to the secondary reflection system do reflect a significant in-crease. Finally, the variation of flow and the area of the preheater show a direct relationship in performance, reaching values that predict the ideal value of the operating variable.
Relationship between force signal and superficial electromyographic signals associated to hand movements
Authors: Sandoval-Rodriguez, et. al. C. L.
Published: January 2025

The analysis of electromyographic signals is applied both to the diagnosis of pathologies and to the recogni-tion of movement patterns. Variables such as force and speed of movement are factors that affect the charac-teristics of the signals of surface electromyography (SMEG). The naturalness of the movements of the hand are also associated with strength and speed. Current work assessment 96 records of SEMG -Force). The objective was to obtain a linear model that would allow the relation of the force signal with the tone of the forearm SEMG signals. The work results show models at the determination coefficient R2 - median 0.78. The SEMG signal would contribute to the variation of the strength signal. However, there are appreciable differences in relation to the model in each type of hand movement.
Development of an expert system based on fuzzy logic as support for heat pipes design
Authors: Betancur-Arboleda, et. al. Luis
Published: January 2025

Heat pipe design and selection require specialist knowledge due to numerous possible combinations and restrictions that should be taken into account. The general objective of this work is to design a Specialist System that assists future engineers in material and working fluid selection for a suitable heat pipe applica-tion, based on the technical operating requirements. The methodology consisted of a qualitative perspective through interviews with two specialist engineers in the heat pipes area. The resulting information from the interviews was organized into a library, working as a source for the specialist system. In addition, several books from the literature completed the information in the library. Based on the operating conditions and the provided library, the program recommends suitable materials and working fluids and the necessity of porous media for the application, similar to a consult with a heat pipe specialist. The new expert system can be a tool for researchers and engineers in heat pipe design as passive control systems, providing more suitable solutions for each application.
Bitcoin prediction with a hybrid model
Authors: Ashou, et. al. Marwan Abdul Hameed
Published: January 2025

In recent years, Bitcoin has become the most widely used blockchain platform in business and finance. The goal of this work is to find a viable prediction model that incorporates and perhaps improves on a combina-tion of available models. Among the techniques utilized in this paper are exponential smoothing, ARIMA, artificial neural networks (ANNs) models, and prediction combination models. The study's most obvious discovery is that artificial intelligence models improve the results of compound prediction models. The sec-ond key discovery was that a strong combination forecasting model that responds to the multiple fluctua-tions that occur in the bitcoin time series and Error improvement should be used.  Based on the results, the prediction accuracy criterion and matching curve-fitting in this work demonstrated that if the residuals of the revised model are white noise, the forecasts are unbiased. Future work investigating robust hybrid model forecasting using fuzzy neural networks would be very interesting.
Based BIM techniques to clash detection for construction projects
Authors: Abdalhameed, et. al. Braa F.
Published: January 2025

Building Information Modeling (BIM) has brought about a qualitative change in the design and management of construction projects because it represents a digital simulation of the physical characteristics of the build-ing, and this increases its efficiency before the actual construction begins. In Iraq, most construction pro-jects still use CAD two-dimensional drawing for the purpose of the implementation process, especially gov-ernment projects, and this causes many problems due to the difficulty of communication between the vari-ous disciplines involved in the design and misunderstanding during implementation. This type of problem is reduced by combining BIM drawings prepared by designers and making them into a single model. In this process of merging conflicts are found using BIM tools such as Autodesk Navisworks. There are three main types of detection. This article includes how a clash detector can help improve clashes in the design phase before starting to construct a specific building using BIM applications and focuses on hard detection type (overlap of a particular element with the others). The methodology involved in this research is to study an educational building (24-classroom model school) consisting of structural and architectural BIM models only, clash detection analysis is done using Autodesk Revit and Autodesk Navisworks Manage software.
Analysis of the thermal sensation in single-family home from microclimatic monitoring: Case study Bucaramanga Colombia
Authors: Ascanio-Villabona, et. al. J. G.
Published: January 2025

The present work describes the experimentation of monitoring for the finding of the heat index and the indi-vidual thermal sensation, where the behavior of the real temperature in the exterior and interior of a conven-tional single-family house with a warm and temperate climate in Colombia was analyzed. The detailed mon-itoring campaign is carried out for 2880 hours, where the conditions of the interior area of the house and the local climatic conditions of the area are recorded, through the implementation of a thermohydrometers regis-tration system. The methodology for the calculation of the sensation of heat and thermal comfort was deter-mined under the adjusted equation of cooling power of Leonardo Hill and Morikofer-Davos, applied in the analyses of the Institute of Hydrology, Meteorology and Environmental Studies - IDEAM. The results showed a thermal sensation of dissatisfaction of 97.7%, because with the monitored temperature the thermal sensation is calculated yielding in 1382.4 hours with very hot, 1151.6 hours of hot and 280.8 hours of warmthermal sensation.
DevOps Ontology - An ontology to support the understanding of DevOps in the academy and the software industry
Authors: Guerrero, et. al. Jonathan A.
Published: January 2025

Currently, the degree of knowledge about what DevOps really means and what it entails is still limited. This can result in an informal and even incorrect implementation in many cases. Although several proposals related to DevOps adoption can be found, confusion is not uncommon and terminology conflict between the proposals is still evident. This article proposes DevOps Ontology, a semi-formal ontology that proposes a generic, consistent, and clear language to enable the dissemination of information related to implementing DevOps in software development. The ontology presented in this article facilitates the understanding of DevOps by identifying the relationships between software process elements and the agile principles/values that may be related to them. The DevOps Ontology has been defined considering the following aspects: the REFSENO formalism that uses the representation in UML was used and the language OWL language using Prótegé and HermiT Reasoner to evaluate the consistency of its structure. Likewise, it was satisfactorily evaluated in three application cases: a theoretical validation; instantiation of the continuous integration and deployment practices proposed by the company GitLab. Furthermore, a mobile app was created to retrieve information from the DevOps Ontology using the SPARQL protocol and RDF language. The app also evaluated the Ontology’s proficiency in responding to knowledge-based questions using SPARQL. The results showed that DevOps Ontology is consistent, complete, and concise, i.e.: to say: the consistency could be observed in the ability to be able to infer knowledge from the ontology, ensuring that the ontology is complete by checking for any incompleteness and verifying that all necessary definitions and inferences are well-established. Additionally, the ontology was assessed for conciseness to ensure that it doesn't contain redundant or unnecessary definitions. Furthermore, it has the potential for improvement by incorporating new concepts and relationships as needed. The newly suggested ontology creates a set of terms that provide a systematic and structured approach to organizing the existing knowledge in the field. This helps to minimize the confusion, inconsistency, and heterogeneity of the terminologies and concepts in the area of interest.
Digital citizenship for faculty of Iraqi universities
Authors: Wahib, et. al. Maha Saleem Kahlaf
Published: January 2025

Digital Citizenship (DC) is a set of rules, controls, standards, norms, ideas, and principles followed in the optimal and proper use of technology, which citizens, young and old, need to contribute to the progress of the nation. In short, it is guidance and protection, guidance to the benefits of modern technologies, and protection from their dangers. Or more precisely, it is the smart approach to technology. The concept of digital citizenship has a strong relationship with the education system, so academics in higher education and scientific research institutions must be the most experienced, and effective among their students in this field. Especially after the Corona pandemic and the trend that the universe has gone through towards using the internet in all areas of life, including education, especially integrated education, it has become very important for a citizen to be digital. This study dealt with a sample of university professors with (200) questionnaires. All the professors who belong to colleges with a scientific and human specialization possess digital citizenship. There are no differences between genders except in the education axis, which was in favor of the teaching staff male. In addition to the specialization, it was in favor of the colleges of science.
Evaluation of shear behavior of prepared recycled concrete aggregate concrete deep beam
Authors: Wanas, et. al. Abeer Hassan
Published: January 2025

In this article, the shear behavior of a deep beam made of Recycled Aggregate Concrete (RAC) was analyzed. Rapid urbanization has presented a massive new activity that is necessary to meet the needs of the influx of people. Developments of all types, from housing to infrastructure, ne-cessitate considerable input from both natural and monetary resources. The purpose of this study is to compare the strength and loading capacity of RAC to that of Naturally Aggregate Concrete (NAC). The samples were evaluated at a controlled deformation rate of 2mm/minute in the "Ma-terial Testing Laboratory of the Department of Civil Engineering," where this investigation was conducted. The researcher has chosen two different sizes of coarse totals to use throughout this study: those measuring 5mm to 15mm (60.2%) and those measuring 15mm to 25mm (40.3%).  In support of her claims, the researcher presents a variety of charts and datasets in the following research. There is an overall drop in strength in the recycled aggregate concrete samples. The load-deflection curves and the techniques are depicted by which the specimens failed. Shear re-quired beams' experimental data and predicted values. This study reveals that compared to natu-ral aggregate concrete, recycled aggregate concrete has weaker compressive, flexural, and break-ing tensile strengths. The maximum load-bearing strength of longitudinally supported beams built of "recycled and natural aggregate concrete" is also not significantly different.
A new shrinkage method for higher dimensions regression model to remedy of multicollinearity problem
Authors: Ghareeb, et. al. Zainab Fadhil
Published: January 2025

This research seeks to present new method of shrinking variables to select some basic variables from large data sets. This new shrinkage estimator is a modification of (Ridge and Adaptive Las-so) shrinkage regression method in the presence of the mixing parameter that was calculated in the Elastic-Net. The Proposed estimator is called (Improved Mixed Shrinkage Estimator (IM-SHE)) to handle the problem of multicollinearity. In practice, it is difficult to achieve the re-quired accuracy and efficiency when dealing with a big data set, especially in the case of multi-collinearity problem between the explanatory variables. By using Basic shrinkage methods (Las-so, Adaptive Lasso and Elastic Net) and comparing their results with the New shrinkage method (IMSH) was applied to a set of obesity -related data containing (52) variables for a sample of (112) observations. All shrinkage methods have also been compared for efficiency through Mean Square Error (MSE) criterion and Cross Validation Parameter (CVP). The results showed that the best shrinking parameter among the four methods (Lasso, Adaptive Lasso, Elastic Net and IMSH) was for the IMSH shrinkage method, as it corresponds to the lowest (MSE) based on the cross-validation parameter test (CVP). The new proposed method IMSH achieved the optimal shrinking parameter (λ = 0.6932827) according to the (CVP) test, that leads to have minimum value of mean square error (MSE) equal (0.2576002). The results showed when the value of the regularization parameter increases, the value of the shrinkage parameter decreases to become equal to zero, so the ideal number of variables after shrinkage is (p=6).
Multi criteria decision making for optimal below knee prosthetic design
Authors: Sattar, et. al. Muhammed Abdul
Published: January 2025

In manufacturing prostheses such as blow knee (BK) prostheses, the designer needs to make a proper selection of materials to achieve some requirements according to patient uses prior to fabricating the parts of the prosthesis. Some requirements are low cost, lightweight, durable and withstand the loading environment. Different methods have been used to make such selections based on the optimisation of material properties such as statistical, graphical and computer soft-ware. The selection of the optimal material for the socket, shank and foot of BK prostheses is thus considered in this work using the multi-criterion decision-making (MCDM) technique. One of the MCDM strategies is TOPSIS, which was used to choose the ideal material and make a recommendation to design BK prosthesis under different conditions. The common materials used for socket, shank and foot are collected from research works as reference data including poly-mers, composite, metal alloys, and wood. The results show that pineapple fibre-reinforced com-posite (PFRC) composite provides light and stiff sockets and PFRC composite provides elastic thought sockets. Titanium alloy (Ti-6Al-4V) provides a stiff shank, and stainless steel (SS 304) alloy provides shock resist shank. Hardwood can be used for low-cost foot, and carbon fibre for shock resistance foot.
A novel nomadic people optimizer-based energy-efficient routing for WBAN
Authors: Dawod, et. al. Adnan Yousif
Published: January 2025

In response to user demand for wearable devices, several WBAN deployments now call for effective communication processes for remote data monitoring in real time. Using sensor networks, intelligent wearable devices have exchanged data that has benefited in the evaluation of possible security hazards. If smart wearables in sensor networks use an excessive amount of power during data transmission, both network lifetime and data transmission performance may suffer. Despite the network's effective data transmission, smart wearable patches include data that has been combined from several sources utilizing common aggregators. Data analysis requires careful network lifespan control throughout the aggregation phase. By using the Nomadic People Optimizer-based Energy-Efficient Routing (NPO-EER) approach, which effectively allows smart wearable patches by minimizing data aggregation time and eliminating routing loops, the network lifetime has been preserved in this research. The obtained findings showed that the NPO method had a great solution. Estimated Aggregation time, Energy consumption, Delay, and throughput have all been shown to be accurate indicators of the system's performance.
Image hiding in audio file using chaotic method
Authors: Hasan, et. al. Najwan Abed
Published: January 2025

In this paper, we propose an efficient image hiding method that combines image encryption and chaotic mapping to introduce adaptive data hiding for improving the security and robustness of image data hiding in cover audio. The feasibility of using chaotic maps to hide encrypted image in the high frequency band of the audio is investigated. The proposed method was based on hiding the image data in the noisiest part of the audio, which is the high frequency band that was extracted by the zero crossing filter. Six types of digital images were used, each of size fit the length of used audio, this to facilitate the process of hiding them among the audio samples. The input image was encrypted by a one-time pad method, then its bits were hid-den in the audio by the chaotic map. The process of retrieving the image from the audio was in the opposite way, where the image data was extracted from the high frequency band of the audio file, and then the ex-tracted image was decrypted to produce the retrieved image. Four qualitative metrics were used to evaluate the hiding method in two paths: the first depends on comparing the retrieved image with the original image, while the second depends on comparing the audio containing the image data with the original audio once, and another time by comparing the cover audio with the original audio. The results of the quality metrics proved the efficiency of the proposed method, and it showed a slight and unnoticed effect between the re-search materials, which indicates the success of the hiding process and the validity of the research path.
Exploring the ethical considerations of using Chat GPT in university education
Authors: Huallpa, et. al. Jorge Jinchuña
Published: January 2025

This study investigates the moral dilemmas that arise with incorporating Chat GPT into higher education, with a focus on the situation in Latinoamerican institutions of higher learning. The study surveyed 220 peo-ple via online questionnaire to learn more about their experiences with and motivations for using AI-powered conversational agents. An overview of the demographics of the participants was provided through descriptive statistics. This investigation of the subject at hand lays the groundwork for further research. It also reveals the hidden meanings of the observed phenomena, and it suggests possible solutions to the prob-lems that have been uncovered. This research looks at how AI systems and chatbots can supplement human knowledge and judgment, as well as their potential drawbacks.  The results showed that participants thought Chat GPT integration was moderately accessible and had moderately positive social attitudes. They under-stood the value and responsibility of Chat GPT in creating individualized educational opportunities. Partici-pants stressed the necessity for explicit institutional standards regarding privacy and data security. Gender, age, sense of accessibility, social attitude, opinions, and personal experience, privacy and data security, in-stitutional guidelines, and individualized learning were also found to affect participants' reliance on AI through regression analysis. The findings shed light on how the integration of Chat GPT into Latinoameri-can higher education is complicated by factors such as individual beliefs, cultural norms, and ethical prob-lems. The busy schedules of students may be accommodated and the resources they need to succeed can be made available thanks to this adaptability. In addition, natural language processing models can offer stu-dents instantaneous help via text chat, voice, or video.  To fully grasp the ethical consequences and lead the creation of responsible implementation techniques, the research proposes that additional qualitative investi-gations, longitudinal studies, and comparative research across diverse contexts is required. Closing these knowledge gaps will help move the conversational AI field forward in ways that are ethical and beneficial to the classroom.
Machine learning prediction and analysis of students’ academic performance
Authors: Pasic, et. al. Mirza
Published: January 2025

Analyzing students’ academic performance is important for evaluating enrollment criteria which establish the standards required for pupils who finished secondary school to gain admission to a higher education institution. The aims of this research were to develop a machine learning prediction Decision Tree classifica-tion model and analyze the performance of engineering students based on their performances during second-ary school education. The performance of students was analyzed and measured as a binomial response whether students successfully finished the first and the second study years. The developed model examined general success, number of awards obtained at competitions, special awards, average grades in mathematics, physics, and one of the official state languages during secondary school as predictor variables. The number of courses transferred from the first into the second study year and students’ GPA obtained during the first study year were added as predictor variables in the analysis and development of a prediction model for the students’ performance during the second study year and their enrollment in the third study year. Developed machine learning prediction model showed that for the performance of enrolled students in the first study year general success of students during secondary school is the most important predictor variable, followed by mathematics and physics grades. However, for the performance of the students enrolled in the second study year the most important predictor variable was number of the courses transferred from the first into the second study year, followed by students’ GPA obtained during the first study year and general success. Machine learning Decision Tree classification modeling was shown to be an adequate tool for the prediction of the performance of engineering students during the first and second study years.
Identifying the determinants of tax following intention with emphasis on the theory of planned behavior
Authors: Hameed Qasim Rahman , Sepasi Sahar , Rahmi Behrooz Khoda , Nayeri Deghan
Published: January 2025

This research aims to identify the determinants of tax compliance intention, focusing on the theory of planned behavior. This research is practical in its objective and causal in its method. The data collection method was a questionnaire survey with confirmed validity and reliability. The statistical population of this research includes all managers and owners of small and medium enterprises in Iraq, and because the com-pany is unlimited, a sample of 384 companies was studied. The research results show that attitude, per-ceived behavioral control, and patriotism towards tax compliance are significantly positively related to the intention to facilitate the payment of sales tax among small and medium enterprises.
Harvesting the digital green: A deeper look at the sustainable revolution brought by next-generation IoT in E-Commerce
Authors: Khrais Laith T. , Zorgui Myriam , Aboalsamh Hoda M.
Published: January 2025

The primary research question investigated was: What is the impact of next-generation Internet of Things (IoT) applications on the e-commerce sector? The specific objectives included exploring the challenges and benefits of IoT in e-commerce and examining the different IoT technologies used in e-commerce. The cur-rent study employed a qualitative method of conducting online interviews among seven participants in the e-commerce industry. A key finding was that IoT generally positively affects the e-commerce sector by im-proving operational efficiency and saving on costs. The advantages of using IoT in e-commerce were also noted to include enabling personalized consumer shopping experience and optimizing supply chain and inventory management that keeps costs. However, increased cybersecurity threat was realized to hurt IoT adoption in e-commerce. The IoT technologies that impacted e-commerce included radio frequency identifi-cation (RFID), sensors, and GPS. One limitation of this study was the small sample size, which restricted the generalization of the results. Meanwhile, one recommendation was that e-commerce firms should be encouraged to adopt IoT technologies to increase their efficiency and profitability in the long run.
Energy exergetic and economic analysis (3E) in a flat solar collector with thermal storage for air heating
Authors: Castillo-Leon, et. al. N. Y.
Published: January 2025

Solar energy has been considered as a carrier of primary energy to sustain life, representing a renewable energy resource that strengthens industrialization through its use as the main source of energy. This study evaluates the energy, exergetic and economic yields through an analytical approach applied to experimental data obtained in a flat solar collector (SAC) with paraffin as phase change material (PCM) and "V" absorber plate geometry, intended for air heating. The results of the investigation indicated that the energy, exergetic, and exergy destroyed efficiency of the SAC were 71.24%, 16.96%, and 79.66%, respectively. This research allowed us to carry out a sensitivity analysis applied to the results of the thermodynamic variables of the equipment: thermal efficiency, air mass flow and solar radiation; where an improvement in the thermody-namic yields is evidenced by obtaining a thermal efficiency of 91.25%, exergetic efficiency of 61.03% and a decrease in exergy destroyed up to 35.04% of the values obtained experimentally. Through the economic analysis, it was determined that the levelized cost of heating the SAC is 0.0927 USD/kWh, indicating that the project is economically profitable, due to the use of solar energy instead of electrical energy as an input source. Lastly, this research is expected to be a contribution that can support the authors of subsequent pro-jects interested in this technology.
The lockdown experience of Hungarian mothers with young children facing the COVID-19 pandemic
Authors: Veroszta Zsuzsanna , Kopcsó Krisztina , Boros Julianna , Ökrös Fruzsina
Published: January 2025

The COVID-19 pandemic brought about unprecedented changes to everyday life, presenting a range of emotional and practical challenges. This paper aims to identify burdens that Hungarian mothers of two-year-old children faced during the spring of 2020 and to examine the impact of employment on mothers’ adaptive behavior during the pandemic. The data presented here are based on the fourth wave of the Cohort ’18 Growing Up in Hungary longitudinal research study. The analysis uses weighted data (n = 4,408), collected between October 2020 and May 2021, covering experiences during the spring 2020 state of emergency. Besides descriptive statistics, a K-means cluster analysis was performed to identify groups of mothers with similar experiences. The correlates for the resulting clusters were analyzed using both bi- and multivariate methods. Four clusters were identified: mothers experiencing ‘mental distress and life-management difficulties’ (16.8%), ‘mental distress’ (33.7%), ‘life-management difficulties’ (15.8%) and ‘seamless adaptation’ (33.7%). In predicting cluster membership, maternal employment situation, partner’s employment, increased housework tasks, external childcare assistance, previous anxiety symptoms and previous depressive symptoms were significant. It can be concluded that the first wave of the pandemic had a marked effect on the lives of mothers raising young children, though experiences varied. On-site work was found to reduce both mental distress and life-management difficulties during the pandemic for women with young children, but for those working from home, no such adaptation effect was identified.
Theoretical framework for the study of the two-way relationship between migration and subjective well-being
Authors: Németh Ádám , Göncz Borbála , Kohlbacher Josef , Lengyel György , Melegh Attila , Németh Zsolt , Reeger Ursula , Tóth Lilla
Published: January 2025

This paper provides an overview of the relevant theoretical frameworks of well-being and migration and the links between the two concepts. The article is part of the theoretical preparatory work for the MIGWELL project. We argue that subjective well-being should be a key concept in migration research, because increasing it at the individual level is a universal human desire. From this perspective, migration – if it is truly voluntary – may be a tool to reach the desired outcome of increasing well-being. In general, micro-level approaches are more suitable for linking subjective well-being and migration. In particular, the "new economics and sociology of migration", the "network theory" and the "capabilities approach" offer the implicit or explicit possibility to do so. Regarding well-being, we apply a hybrid approach, inspired by both the OECD and the WeD concepts. Finally, in this paper we propose a research design that may be suitable (with some limitations) to capture the two-way relationship between the two concepts: the impact of subjective well-being on migration intention and the effect of migration on subjective well-being.
A mesterséges megtermékenyítési eljárások társadalmi elfogadottsága Magyarországon
Authors: Szalma Ivett , Pélyi Lóránt
Published: January 2025

A tanulmány célja, hogy bemutassa a magyar társadalom gyermekvállalással kapcsolatos attitűdjeit, különös figyelmet fordítva a mesterséges megtermékenyítés eljárásaira. Ehhez egy 2024-es reprezentatív kérdőíves vizsgálat adatait használjuk. Eredményeink szerint a magyar felnőtt lakosság továbbra is a tradicionális családmodelleket részesíti előnyben. Sokan úgy vélik, hogy a nők számára elengedhetetlen a gyermekvállalás a teljes élethez. Jóval többen gondolják azt az egyedülálló anyákról, mint az egyedülálló apákról, hogy ugyanolyan jól fel tudják nevelni a gyermekeiket, mint egy férfi és egy nőből álló pár. A mesterséges megtermékenyítési eljárások általános elfogadottsága magas, de ez nem mindig jár együtt azok tényleges használatának elfogadásával. A válaszadók kevésbé támogatják a megtermékenyítés eljárásokban való részvételt a leszbikus párok vagy a 40 év feletti nők, mint a többi csoport (heteroszexuális párok vagy egyedülálló nők) esetében. A béranyasággal kapcsolatos attitűdök megoszlanak, és leginkább egészségügyi okokból tartják elfogadhatónak ezt a megoldást. A logisztikus regressziók eredményei szerint az attitűdöket társadalmi-demográfiai tényezők (mint például az iskolai végzettség) és a vallásosság is befolyásolják. A kutatás arra is rávilágít, hogy a megtermékenyítés eljárásokkal kapcsolatos ismeretek szintje alacsony, és a legtöbben az internetről, az oktatási intézményekből pedig kevesen szerzik be az információikat.
Prospects of Internal Control in Chain Organizations
Authors: Kabalinova V. I.
Published: January 2025

The article studies specific features of internal control in chain organizations and demonstrates topicality of the subject in business, including tourism sphere. The author analyses Russian and overseas experience of internal control used in key fields of today’s economic system, in particular, in finance and accounting. Different concepts of internal control are investigated, a great number of theoretical and methodological methods of internal control are provided and various systems, forms and types of internal control are studied. In order to extend the current ideas of internal control the article advanced the concept based on the notion saying that within the frames of one business sometimes it is necessary to discuss not a single system of internal control, but a complex package of such systems. The author came to the conclusion that such types of control components analyzed in the research as planning, cyber control, rewards and compensations, administrative and cultural control, in case systematic and process approaches are used in organization of the system of internal control could help attain the set goals and provide reliability of business, including tourism sector, and its efficiency.
The Information System of Digital Financial Assets: Structure and Functions
Authors: Zarov I. K.
Published: January 2025

The article provides definitions of digital financial assets (DFA), provides examples of classifications of digital assets proposed in various sources. The expediency of studying the DFA information system and its structure, formed in the context of current Russian legislation and financial market practice, is indicated. The principles of building the DFA information system, the main participants of the system and their functions are considered. It is concluded that it is necessary to take into account the structure and functions of the information system when developing recommendations for improving the use of DFA in the Russian financial market.
Human Resources of Labour Market in Russia
Authors: Odegov Yu. G. , Babynina L. S. , Odegov R. V.
Published: January 2025

Today scales, structure and forms of population employment are changing, models of labour activities are modifying. Human resources imply carriers of physical, intellectual, creative, psychological potential, competences, experience, skills, motives and goals. The notion of ‘resources’ as applied to this social and economic category means opportunities, which are available at present and may be accessible in the future for state and regions to supply economy with workers having necessary professional and personal qualities. The goal of the article is to identify reserves of human resources for Russian labour market on the basis of analysis of the current situation on labour market, impact of digital technologies on population employment, requirements of business to workers’ competences and changes in labour regulation. Methodological base of the research was formed by a compound approach rests on collection and analysis of various information about the current situation of labour market. Informational base of the research consists of official data of state power of Russia, academic works by Russian and overseas authors, surveys of consulting companies, etc. The subject field of labour market is enriched by new investigations, which causes the growth in academic publications. Analysis of quantitative reserves of human resources shows retention of a rather unfavorable situation on labour market. The authors propose to develop professional, social, personality and psychological features of young people, pensioners and people approaching the pension age as a potential reserve of human resources. By using the sum total of human resource reserves providing their qualitative characteristics and pro-active state policy in the field of employment could help overcome negative deformation of Russian labour market.
Stimulating Innovation Work in Sports in the Republic of Belorussia
Authors: Dodonov O. V.
Published: January 2025

The article reveals the notion of innovation work in view of economy methodology and shows its importance for the development of the field of physical training and sports. Key categories of workers were identified, whose interaction could foster the development and introduction of innovation in the given field. The article shows motivators of innovation work and highlights legal base and stimulating factors of innovation work in organizations of physical training and sports in the Republic of Belorussia. The author grouped certain categories of workers in organizations of physical training and sports by job descriptions and tariff grades with regard to key factors characterizing innovation work and demonstrates categories of workers in organization of physical training and sports, whose job descriptions do not include the need to introduce innovation in accordance with their classification. Serious contradictions were revealed between workers’ job descriptions and availability (absence) in them obligations to introduce innovation in organizations of physical training and sports in the Republic of Belorussia. The author put forward key trends aimed at resolving the problem of stimulating workers in organizations of physical training and sports to introduce innovation, which can be settled in legislative area and by specifying contacts between employer and worker.