bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Personalized Video Recommendation Model Based on Multi-Graph Neural Network and Attention Mechanism
Authors: Joshi Rohan Mehta , Dawson Humphrey St. Clair , Roy Kunal 
Published: March 2024

Abstract
The sheer volume of available data makes it challenging for users to sift through and find the information they truly need. Recommender systems play a pivotal role in addressing this challenge by leveraging users' historical interaction data to gain insights into their interests and preferences. Existing research on video recommendation primarily focuses on several key aspects: data representation, encompassing the feature representation of videos and user models; challenges posed by traditional recommendation methods when applied to video recommendation, such as cold start, sparsity, and overspecialization. The foundation of video recommendation lies in effectively describing and representing both videos and users, ultimately shaping the performance of the recommender system. Addressing these challenges, this paper introduces a recommendation model based on a multi-graph neural network. Leveraging the capabilities of graph neural networks to efficiently mine deep information from graph data, the model transforms input user rating information and item side information into multiple graphs for effective feature extraction. Taking a multimodal semantics approach, the paper proposes a video similarity metric learning method based on semantic information. Given that videos comprise different media types, each with distinct features, an analysis of these features and their representation in a unified manner establishes the groundwork for video recommendations. To enhance the recommendation model, an attention mechanism is introduced, leading to the development of a deep collaborative filtering recommendation model based on attention. Extensive experiments conducted on real datasets validate the effectiveness of the proposed model in providing recommendations.
Uplink Throughput Analysis of an IRS-Assisted 6G Wireless Network
Authors: Mahbub Mobasshir , Shubair Raed M. 
Published: March 2024

Abstract
The fundamental purpose of the study is to expand coverage, i.e., permit better transmission, by implementing IRS beneath micro cellular transmissions via a two-tier 6G framework consisting of one micro cellular layer operating beneath the macro cellular-based layer. As a consequence, the study used simulation-based measuring methodologies to assess and compare the functioning of standard micro-cellular connections to IRS-enhanced micro-cellular networks in terms of throughput of uplink. The study found that implementing IRS significantly enhances coverage, or transmission effectiveness, for 6G services.
Intimate Partner Violence during Index pregnancy and its correlates in Ethiopia, Evidence from Performance, and Monitoring for Action (PMA) 2021 Cohort Two Baseline Survey
Authors: Abrha Solomon , Tariku Fitsum , Ayele Bezawork , Zebene Addisalem , Yinneda Seifu ,   Desalegn Getachew6, Amogne Aynaw , Tadele Niguse , Yihdego Mahari , Seme Assefa , Shiferaw Solomon 
Published: March 2024

Abstract

Introduction: Current intimate partner violence (IPV) in Ethiopia is considerably high. This study aimed at determining the prevalence of IPV among pregnant women during their index pregnancy and identify its correlates using Performance Monitoring for action (PMA) cohort 2 baseline data. Documenting the magnitude of IPV during the index pregnancy and identifying factors affecting it contributes its share for the ministry and other relevant partners in tracking progress towards eliminating all forms of violence against women and girls by 2030.
Methods: This study used PMA cohort 2 baseline data which enrolled and collected data from currently pregnant women. Frequency was computed to describe the study participant’s characteristics, and chi-square statistics was used to assess cell sample size adequacy. Multilevel binary logistics regression was employed to identify correlates of IPV. Results were presented in the form percentages and odds ratio with 95% Confidence Intervals. Candidate variables were selected using p-value of 0.25. Statistical significance was declared at p-value of 0.05.
Results: One in six 16.7% (14.81%, 18.76%) pregnant women reported experiencing at least one form of physical and/or sexual IPV during their index pregnancy. The prevalence of encountering at least one form of sexual violence was 12.53% (10.91%, 14.35%) while 7% (5.5%, 8.3%) of them experienced at least one form physical intimate partner violence during their index pregnancy. After controlling confounders, women perceived risk about contraceptive use, increased parity and family size were the fixed effects found to increase the odds of IPV while being in the third trimester of gestation by enrollment was another fixed effect variable which contributed for the lower odds of experiencing IPV during the index pregnancy.
Conclusions and recommendations: The overall burden of IPV reported was high, with nearly double the percentage of women experiencing sexual violence during the index pregnancy compared to physical IPV. More work needs to be done to achieve zero tolerance against any form of violence among women and girls in general and among pregnant women in particular. Efforts targeted in improving women perception on issue related with their contraceptive use, counseling women on how to prevent IPV during their antenatal care (ANC) visit along with advising the use of inter pregnancy contraception and empowering them to decide on their family fertility desire are hoped to mitigate such considerably high odds of IPV among pregnant women.
How far will you go? From empirical findings to formalization of walking route distances
Authors: Almagor Jonatan , Omer Itzhak , Omer Noam , Birenboim Amit 
Published: March 2024

Abstract
Empirically based theorization of walking range patterns is rather limited, leading researchers and planners to rely on simplistic assumptions as to the typical distance and duration that pedestrians may walk. Using high-resolution GPS data collected from over 11,000 participants in the Tel-Aviv metropolitan area, we provide an empirical estimate for the distribution of walking route distance and duration, while examining potential factors that may affect it. In addition, we develop a general analytical framework that describes walking route patterns. Our results show that the average route distance and duration in Tel-Aviv metropolitan is 630 m and 7.9 min. Factors associated with walking range include socio-demographic characteristics of walkers (age-group, socioeconomic status and number of cars in a household) and city characteristics (longer routes in cities with a larger population and in areas with high density of street intersections). Our main finding is that walking route distance distribution can be best described using the theoretical log-normal distribution and can be characterized using its mean-log and SD-log parameters. The log-normal parameters make an analytical framework that enables the evaluation of differences in walking patterns between places and identification of where interventions are required to promote active travel. We explain why the log-normal distribution is likely to be suitable to other cases worldwide.
Exploring Drivers of Household Energy Choice for Cooking: Evidence from Kenya
Authors: Ahmed Abdiaziz Abdikadir , Ntuli Herbert 
Published: March 2024

Abstract
The availability of clean, efficient and affordable modern cooking fuels is essential for enhancing the socioeconomic well-being of marginalized populations in developing nations. However, many Kenyan households need access to these fuels and rely on traditional cooking methods. This reliance on unclean cooking fuels contributes significantly to indoor air pollution, leading to numerous premature deaths in sub-Saharan Africa. Drawing upon data from the 2022 Kenya Demographic and Health Survey (KDHS) with a sample size of 42,022 households, this study delved into the factors influencing households' choice of cooking fuel in Kenya. The findings revealed that 22.2% had embraced modern cooking fuels among the surveyed households, 18.2% utilized transitional options, and 59.6% predominantly depended on traditional fuels. These statistics validate the fuel stacking hypothesis. Moreover, the research highlights the importance of gender dynamics, urbanization, household size, education, marital status, and income in shaping preferences across modern, transitional, and traditional fuel categories. Affirming the energy ladder hypothesis, this study underscores that households gravitate towards cleaner energy sources with increasing income levels. These insights have substantial policy implications and advocate tailored strategies aligned with diverse sociodemographic contexts. This study recommends promoting cleaner alternatives through awareness campaigns and facilitating smoother transitions across fuel categories. Key policy considerations encompass gender-sensitive approaches, urban-focused interventions, education-driven solutions, and income-targeted support, which are all pivotal for sustainable fuel adoption.
JEL Codes: D12, 013, Q53
Limit Imposed Loads on SSSS Rectangular Panels Forced to Vibrate Under a Uniformly Distributed Load
Authors: Njoku Fidelis Chidiebere , Ibearugbulem Owuamanam Mathias , Okere Chinenye Elizabeth , Onyemaechi Abigail Amarachi 
Published: March 2024

Abstract
This paper presents the determination of limit imposed loads on ssss rectangular panel that is forced to vibrate under uniformly distributed load. By employing the principles of elasticity, the total potential energy functional of a rectangular plate under forced vibration is obtained. This functional is minimized with respect to the deflection function. The minimization gives the governing equation of the plate. A general deflection function that satisfies the governing equation is obtained after integrating the governing equation. With the general deflection, the boundary conditions of ssss plate are satisfied and a peculiar deflection function for ssss plate is obtained. This deflection function is substituted into the total potential energy functional earlier obtained and the outcome minimized with respect to the coefficient of the deflection to get the formula for the deflection coefficient. The obtained deflection coefficient is substituted into stress formulas and the outcomes rearranged to get formulas for limit imposed loads that satisfied the requirements of allowable deflection and yield stress. Using these formulas limit imposed loads for various aspect ratios, forcing frequency ratio and thicknesses are calculated and presented in tables. From the obtained results it is obvious that square panels are stronger than rectangular panels. It is also obvious that strength of panels reduces as the forced frequency ratio increase from zero to 1. It is also seen that panels whose spans are up to 1m should be designed with thickness less than 8mm.
Enhancing Multi-Robot Formation Control and Navigation Using Virtual Structures and Improved Path Planning Algorithms
Authors: Faishal Md. 
Published: March 2024

Abstract
Formation control is a fundamental aspect in various domains, including autonomous vehicles, aerial vehicles, and robotics, facilitating coordinated movement and collaboration among multiple agents. This paper investigates the effectiveness of the Virtual Structure Approach (VSA) for formation control in robotic navigation, with a specific focus on tasks such as rectangular structure determination and path planning based on an improvised A* algorithm. Experimental validation involving four mobile robots showcases the VSA's precision in orchestrating collaborative robot behavior. By seamlessly integrating VSA with traditional A* algorithmderived paths and collision avoidance mechanisms, the proposed approach enhances both safety and efficiency in trajectory navigation. Moreover, enhancements in the A* algorithm contribute to optimized trajectories, yielding streamlined paths conducive to efficient navigation. The study also delves into the utilization of the Monte Carlo Localization technique coupled with Lidar sensors to accurately map robot surroundings, thereby augmenting perception and environment comprehension. This research contributes valuable insights into the realm of formation control, offering promising avenues for advancing robotic navigation capabilities in diverse real-world applications.
Analysing the Link between Population Diversity, Population Growth, and Income
Authors: Firdaus Irfan Aziz Al , Pradana Cokorda Bagus Ghana Indra , Sugiyanto Catur 
Published: March 2024

Abstract
Amidst shifting demographics across many countries, certain stylized facts related to fertility, population, and income have become less universally applicable. This research addresses a significant gap in literature by providing a comprehensive analysis on the relationship between population diversity, population growth, and income growth that incorporate both time-varying and cross-country components. Our study reveals a positive correlation between population diversity and population growth, suggesting that diversity along with migration contribute to population expansion due to strategic interactions among ethnic groups to compete for influences in society, hence fostering pronatalism policies. However, we found a negative association between population diversity and income growth, indicating potential ethnic conflict, rent-seeking behaviour, and other challenges that hinder policy implementation in highly diverse settings. Our findings underline the complex dynamics between these factors, emphasizing the need for further exploration.
JEL Classification: J1, O1, Z1
Behavior of LSTM and Transformer Deep Learning Models in Flood Simulation Considering South Asian Tropical Climate
Authors: Madhushanka G.W.T.I. , Jayasinghe M.T.R. , Rajapakse R.A. 
Published: March 2024

Abstract
The imperative for a reliable and accurate flood forecasting procedure stem from the hazardous nature of the disaster. In response, researchers are increasingly turning to innovative approaches, particularly machine learning models, which offer enhanced accuracy compared to traditional methods. However, a notable gap exists in the literature concerning studies focused on the South Asian tropical region, which possesses distinct climate characteristics. This study investigates the applicability and behavior of Long Short-Term Memory (LSTM) and Transformer models in flood simulation with one day lead time, at the lower reach of Mahaweli catchment in Sri Lanka, which is mostly affected by the Northeast Monsoon. The importance of different input variables in the prediction was also a key focus of this study. Input features for the models included observed rainfall data collected from three nearby rain gauges, as well as historical discharge data from the target river gauge. Results showed that use of past water level data denotes a higher impact on the output compared to the other input features such as rainfall, for both architectures. All models denoted satisfactory performances in simulating daily water levels, especially low stream flows, with Nash Sutcliffe Efficiency (NSE) values greater than 0.77 while Transformer Encoder model showed a superior performance compared to Encoder Decoder models.
Medical Students' Internet Addiction And Its Impact On Academic Achievement
Authors: Al-Nahar Nour , Mardini Heba 
Published: March 2024

Abstract
Introduction
Addiction is a chronic, recurrent, relapsing disorder characterized by the compulsive pursuit of certain substances or certain behaviors, and the continuation of them despite the harmful consequences resulting from them and the long-term changes that occur in the brain. Excessive computer use meets the criteria for addiction. There are two types of addiction, physical addiction and non-physical addiction, such as Internet addiction.
Methods and Materials
A pivotal cross-sectional study, in which data were collected on a simple, random basis through an electronic questionnaire with three sections that was distributed to medical students at the Syrian Private University. 219 students were accepted into the sample (n = 219).
Results
The results presented that there is a significant correlation between Internet addiction and the percentile in the last academic year (P = .015), and there is a significant correlation between Internet addiction and the presence of previous traumas (P = .016) and the presence of severe family problems (P = .000).
Discussion
The results of our study were consistent with most of the results of previous studies, except that our study did not present any association of Internet addiction with gender, which has been proven to exist in other studies.
Conclusion
As evidenced by this brief study, the field of Internet addiction is advancing rapidly even without formal recognition of it as a separate and distinct behavioral addiction and with continuing disagreement over diagnostic criteria. The debate over whether IAD should be classified as a (behavioral) addiction, an impulse control disorder, or even obsessive-compulsive disorder cannot be satisfactorily resolved. But the symptoms we have observed in clinical practice present a great deal of overlap with symptoms typically associated with (behavioral) addiction.
Análisis comparativo de la gestión ambiental urbana en Cartagena, Santa Marta y Barranquilla en 2020
Authors: Yepes-Zabaleta Samantha , Dovale-Aguas Javid 
Published: March 2024

El presente trabajo es el resultado del análisis realizado de la gestión ambiental de tres ciudades del Caribe colombiano (Cartagena, Barranquilla y Santa Marta) durante el 2020, tomando como base la planeación ambiental propuesta por las diferentes entidades encargadas conocidos como Establecimientos Públicos Ambientales EPA y Departamento Administrativo de Sostenibilidad Ambiental DADSA. El análisis parte de los conceptos asociados a la administración y gestión de las alcaldías y la implementación de modelos de gestión en el marco de la construcción de los planes de desarrollo y el control ejercido por las oficinas encargadas. La metodología aplicada responde al modelo cualitativo de tipo documental, en el de se analizan de forma detallada los detalles de la planeación desde los planes de desarrollo de las alcaldías y los informes de gestión. Entre los principales hallazgos, la incipiente preocupación por las propuestas sobre los Objetivos de Desarrollo Sostenible, y los enfoques similares en los frentes de control del aire, el ruido y el cuidado de los ecosistemas urbanos en peligro. Igualmente, el largo camino por recorrer para el cumplimiento de las metas propuestas inicialmente.
Molecular Characteristics of Cephalosporin Resistant Escherichia coli and
Klebsiella pneumoniae Isolated from Children in a Tertiary Care Centre of
Central Kerala, India
Authors: Thattil Santhosh J , Dhanaraj Suresh , Ajith Thekkuttuparambil A 
Published: March 2024

Aims:
The study was aimed to determine the molecular characteristics of extended-spectrum beta-lactamases (ESBL) producing cephalosporin-resistant Escherichia coli and Klebsiella pneumoniae isolated from children below ten years of age.

Background:
Geographically diverse variations in the prevalence of ESBL genes were reported. No data were available on the prevalence of ESBL genes in central Kerala, India, among children below 10 years of age.

Methods:
A cross-sectional study was performed to analyze ESBL genes in cephalosporin-re-sistant E. coli and K. pneumoniae strains isolated from samples received in the Microbiology la-boratory of a tertiary care centre during the period between May 2021 and July 2022. The strains showed that ESBL + cephalosporin resistance was subjected to PCR-based genotyping for the genes such as bla (beta-lactamase) CTX-M-1, blaCTX-M-15, blaCTX-M-U, blaTEM, blaPER and SHV.

Results:
Among the total 228 samples analyzed, 136 (60%) had no growth. Ninety-two (40 %) samples showed growth of E. coli and K. pneumoniae. Among the isolates that showed growth, 39 (42%) were sensitive, and the remaining 53 (57%) were resistant to third-generation cephalospor-ins. Among the isolates showed resistance, 22 (42%) were ESBL positive and 31 (58%) were ESBL negative. Among the positive ESBL, nine E. coli strains (60%) were positive for CTX-M-15 and CTX-M-1. CTX-M-15 and CTX-M-U were present in six (85%) K. pneumoniae with ESBL +.

Conclusion:
E. coli and K. pneumoniae isolated from specimens of children below ten years of age showed 41-42% ESBL producers. Prevalent ESBL-producing genes in E. coli were CTX-M-15 and CTX-M-1. CTX-M-15 and CTX-M-U were prevalent in ESBL-producing K. pneumoniae.
The Role of E-Satisfaction in Influencing Online Repurchase Intention on Marketplace Sites in Indonesia
Authors: Chaniago Bunga , Alfansi Lizar , Ekaputri Seprianti , Hardi Effed Darta 
Published: March 2024

AbstractThis study aims to see whether the e-satisfaction variable can have a mediating effect on e-service quality and perceived ease of use on online repurchase intention on marketplace sites. The consumers on the marketplace website were provided with online questionnaires as part of the research method. A total of 268 respondents were gathered. The data were then analyzed utilizing LISREL 8.70 software. The results revealed that e-satisfaction could partially mediate between e-service quality and online repurchase intention and could fully mediate between perceived ease of use on online repurchase intention. The implication is that marketplace sites need to improve e-satisfaction through e-service quality, which is continuously improved and provides easy-to-understand features for consumers; thus, it can encourage the desire to repurchase products/services on the marketplace site. Keywords:E-Service Quality, Perceived Ease of Use, E-Satisfaction, Online Repurchase Intention, Marketplace
Exploring Social and Organizational Support's Role: The Effect of Work-Family Conflict on Work Stress
Authors: Rumijati Aniek , Arifiani Ratya Shafira 
Published: March 2024

AbstractThis study aimed to analyze the effect of work-family conflict on work stress and the moderating role of social support and perceived organizational support in the effect of work-family conflict on work stress. The type of this research is explanatory research. Data collection techniques used were questionnaires and variable measurement techniques based on a Likert scale. The population in this study were all female nurses in Malang City. The sampling technique used is non-probability sampling using purposive sampling, with the criteria of female nurses who are married. Data were analyzed using inferential statistics and a moderation test using Smart PLS. The results of the study revealed that work-family conflict had a significant effect on work stress; social support moderated the effect of work-family conflict on work stress; Perceived organizational support had a moderating role in the effect of work-family conflict on work stress. Keywords:Work-Family Conflict; Work stress; Social Support; Perceived Organizational Support