bluuebunny/crossref_metadata_2025 huggingface dataset:
EXECUTIVE BODIES OF REGIONAL COUNCILS AS AGENTS OF PUBLIC POLICY IMPLEMENTATION MECHANISMS
Authors: Cherevko Oleksandr , Samoylenko Larysa , Voskoboynik Nataliia
Published: December 2024

The article examines the functional role of the executive bodies of regional councils in implementing public policy within the framework of decentralization reforms in Ukraine. The study emphasizes the importance of these executive bodies in ensuring efficient public administration at the regional level, particularly in response to the increasing autonomy granted to regions. Through an analysis of organizational structures, distribution of responsibilities, and the primary mechanisms utilized by executive bodies, the research highlights the capacity of these bodies to drive social and economic development, meet local community needs, and adapt state policies to specific regional contexts. Key functions such as planning, coordination, control, and monitoring are shown to be essential in ensuring effective program implementation and in achieving strategic objectives set by regional councils.
The study underscores the role of regional councils as pivotal agents in upholding democratic governance principles. By fostering communication with the public, engaging with civil society organizations, and enhancing transparency in decision-making processes, executive bodies contribute to greater public trust and accountability in local governance. Moreover, the article explores several challenges impacting the effectiveness of regional council executive bodies, including limited funding, a fragmented regulatory framework, and weak interagency coordination. Such constraints hinder the optimal performance of regional councils, highlighting a need for improved collaboration between different levels of government and more coherent legislative support.
The conclusions present a series of recommendations aimed at enhancing the effectiveness of regional executive bodies. These include securing adequate financing for socio-economically significant projects, developing the professional competencies of executive body personnel, and strengthening coordination with national authorities to align regional initiatives with national priorities. Additionally, the article suggests further exploration into the effects of decentralization reforms on regional governance outcomes and the development of modern tools to evaluate policy effectiveness at the regional level. The findings of this study contribute to a deeper understanding of regional public administration mechanisms in Ukraine and provide practical recommendations for advancing effective and responsible public policy implementation at the local level.
Evolutionary-numerical algorithm for unsteady inverse geometric problems in double-connected domains
Authors: Borachok Ihor
Published: December 2024

Numerical solution of the problem of reconstruction of the inner boundary of the double-connected domain from the given Cauchy data on the outer part of the domain, for the heat and wave equations is considered. The inverse problem is reformulated as a minimization of the nonlinear functional. A real-valued genetic algorithm is used for the minimization. A tness function of the individual is proposed, for the calculation of which it is necessary to solve the non-stationary Dirichlet problem. For this problem, rst a semi discretization by the time variable is performed using the Rothe's method, and then the method of fundamental solutions is applied to the obtained recurrent sequence of stationary inhomogeneous problems. The proposed approach is easy to extend to the case of higher dimensions, therefore two dimensional and three dimensional domains are considered. The algorithm is tested on several examples for both equations and the stability of the method is con rmed for the noised input data.
A new optimal eighth-order iterative technique for solving simple roots of nonlinear equations
Authors: Devi K. , Maroju P. , Kalita H.
Published: December 2024

In this study, we present an iterative technique of eighth order for solving a non-linear equation. Our proposed method is optimal according to Kung-Traub conjecture, requiring only four function evaluations per iteration for the eighth order technique. We analysed the theoretical aspects of our scheme, thoroughly exploring its convergence properties through the main theorem, which serves to demonstrate the convergence order. To check the practical utility of our optimal iteration functions, we conduct a comparative analysis against existing competitors using standard academic problems. This enables us to highlight the superior performance and e ectiveness of our approach in solving non-linear equations.
Iterative methods for the infiltration advance problem
Authors: Kargas Giorgos , Mindrinos Leonidas
Published: December 2024

We examine the in ltration advance problem in irrigation hydraulics modeled through the Lewis-Milne equation. We propose two iterative methods that give reasonable results compared with existing formulas for various well-known in ltration functions. The method of successive approximations seen as a xed-point method and the variational iteration method (based on Lagrange multipliers method) produce formulas after few iterations and simple calculations compared to existing methods where the Laplace transform of the in ltration function has to be known.
Generalized analytic functions and summary representation method and their applications. In commemoration of the 110th anniversary of H.M.Polozhii's birth
Authors: Makarov V.L. , Sergienko I.V. , Khimich O.M. , Lyashko S.I. , Samoilenko V.H. , Kashpur O.F. , Alexandrovich I.M. , Klyushin D.A. , Semenov V.V. , Mayko N.V.
Published: December 2024

The article is dedicated to the memory and scienti c legacy of the prominent Ukrainian mathematician Heorhii Mykolaiovych Polozhii (1914-1968). The main ideas of the theory of generalized analytic functions, the summary representation method are described and some new application results in mathematical modelling of nonlinear quasi-ideal processes in LEF layers are considered.
Literatura a l'aula de CLE: experiències i potencial
Authors: Casas Cortada Elena
Published: December 2024

Tot i que la literatura havia tingut tradicionalment un pes molt important en el procés d’aprenentatge d’una llengua estrangera, les darreres tendències l’han relegada a un paper secundari. En aquest article explorem les possibilitats d’ús dels textos literaris a l’aula, tot presentant un seguit d’experiències docents reals dutes a terme al lectorat de la Universitat Masaryk de Brno.
Easy Catalan, un recurs també per als docents
Authors: Monfà Andreu
Published: December 2024

En aquesta experiència es presenten les característiques principals del projecte Easy Catalan, iniciat l’any 2019 amb l’objectiu de constituir una plataforma d’aprenentatge de català a través dels continguts audiovisuals. Forma part del projecte Easy Languages, un canal de YouTube que recull vídeos per aprendre diverses llengües. Actualment, a més de la plataforma de YouTube, Easy Catalan disposa d’un pòdcast i de presència en diverses xarxes socials.
The Current State of STEM Education in the United States: Strengths and Shortcomings
Authors: Jessen Ramen  , Beatriz Cruz  , Shivani Iyer
Published: December 2024

STEM education (Science, Technology, Engineering, and Mathematics) has been revered for many decades for its potential to foster innovation, critical thinking, and problem-solving skills essential for the modern workforce. However, while the benefits of STEM are widely acknowledged, significant challenges remain in its implementation, particularly in addressing the needs of a diverse and evolving society. This paper explores both the advantages and the disadvantages of current STEM educational practices. Through a thorough review of existing research and empirical data, we identify key areas where STEM succeeds in providing baseline skills for a prolific STEM career, and also key areas where STEM education falls short, such as inclusivity, accessibility, and the integration of interdisciplinary approaches. We argue that for STEM to truly fulfill its purpose, it must undergo substantial improvements to better accommodate diverse populations and contemporary societal demands. Our findings suggest that a more holistic and equitable approach to STEM education is necessary, one that not only preserves disciplinary integrity but also promotes cultural relevance and broadens participation across all demographics. This research highlights and attempts to specify the urgent need for systemic changes to ensure that STEM education can effectively contribute to a more inclusive and fruitful society in the future.
Impact of Distributed Systems within the Medical Field
Authors: Mehmet Uzgoren  , Said Omar  , Mohamed Faraj  , Zakaria Ali
Published: December 2024

Distributed systems have revolutionized healthcare by facilitating efficient data management, communication, and collaboration among healthcare providers and systems. This abstract explores the integration of distributed systems in the medical field, emphasizing their role in improving patient care, enhancing data security, and enabling real-time decision-making. Key technologies such as cloud computing, Internet of Medical Things (IoMT), and block chain are discussed, highlighting their impact on interoperability, scalability, and reliability in healthcare environments. The challenges and opportunities associated with deploying distributed systems in healthcare are also addressed, including issues related to privacy, data integration, and system interoperability. Overall, this research underscores the transformative potential of distributed systems in revolutionizing healthcare delivery and patient outcomes.
Prediksi Produksi Kelapa di Kabupaten Banyuwangi Dengan Algoritma Neural Network
Authors: Herlambang Teguh , Nurhadi Hendro , Ermavitalini Dini , Huda Miftahul , Oktavianto Lucky , Saputro Triono Bagus , Arief M. Romli
Published: December 2024

Salah satu daerah penghasil kelapa terbesar di Indonesia adalah Banyuwangi, yang terletak di ujung timur Pulau Jawa. Perkebunan kelapa di Banyuwangi tidak hanya meningkatkan pendapatan petani, tetapi juga memajukan industri pengolahan lokal. Banyuwangi memiliki area potensial yang akan membantu pertumbuhan bisnis kelapa dan agroindustri lainnya. Potensi budidaya kelapa tersebar di berbagai wilayah Banyuwangi, dengan beberapa kecamatan yang menonjol dalam hal produksi dan pengolahan kelapa. Banyuwangi juga memiliki tanah yang subur, iklim yang mendukung, dan sumber daya manusia yang berpengalaman dalam budidaya kelapa Tujuan dari penelitian ini adalah untuk meramalkan produksi kelapa di Kabupaten Banyuwangi dan memberikan informasi yang akurat tentang perkiraan jumlah produksi di masa depan. Diharapkan hasil ini akan membantu petani dan pemangku kebijakan membuat keputusan yang tepat tentang manajemen produksi, distribusi, dan pengembangan industri kelapa di daerah tersebut untuk meningkatkan keberlanjutan, keuntungan, dan efisiensi. Pada penelitian ini menggunakan algoritma Neural Network guna menunjukkan kinerja terbaik pada pengujian dengan pembagian data pelatihan (Tr) sebesar 70%, 80%, dan 90%, serta data pengujian (Ts) sebesar 30%, 20%, dan 10%. Hasil pada implementasi algoritma Neural Network sebagai peramalan produksi kelapa pada banyuwangi menghasilkan RMSE berturut-turut sebesar 0,039, 0,036, dan 0,036.
A Comprehensive Review of MCDM Methods, Applications, and Emerging Trends
Authors:   PG Department of Commerce, Magadh University, Bodh-gaya, Gaya, Bihar, India, Kumar Rahul
Published: December 2024

Multiple-criteria decision-making (MCDM) approaches have become vital for tackling complicated, multi-objective decision-making issues in dynamic and unpredictable situations. This paper covers the history of MCDM methodologies, ranging from conventional methods like the analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) to sophisticated innovations embracing fuzzy logic, hybrid models, and artificial intelligence (AI). It analyses the numerous uses of MCDM in business, engineering, healthcare, and environmental management, highlighting their adaptation to both qualitative and quantitative criteria. The approaches adopted include an examination of conventional and current frameworks, identifying their strengths and shortcomings. Emerging technologies such as integrating Blockchain, the Internet of Things, and big data analytics are studied, revealing their potential for real-time and dynamic decision-making. Key findings underscore the limitations of uncertainty modeling, computational complexity, and scalability while also revealing potential for multidisciplinary research and sustainability-focused applications. This study finds by offering actionable recommendations for researchers and practitioners, advocating for the establishment of AI-integrated, real-time decision-making frameworks and standardized evaluation standards to address contemporary challenges and enhance the practical relevance of MCDM methods.
Most probable origin and statistical attribution of the major causes of global mean sea level anomaly and rising tides since the 20th century
Authors: Rivera Paul C.
Published: December 2024

The origin of the anomalous global sea level rise (SLR) since the last century is highly controversial and not established. The observed increase of high tides and decrease of low tides in many coastal areas around the world imply that some crucial physical mechanism that drives the rising sea levels may be overlooked. The relative contribution of polar migration, obliquity change, lunar acceleration, Earth spin and sea surface temperature on sea level was estimated using multiple regression. A very high relative contribution of the polar motion (49.4%) on the mean sea level rise, followed by planetary obliquity (46.7%) and a secondary contribution of lunar acceleration (3.9%) was found. Sea surface temperature and earth spin rate showed negative correlations with sea level rise. The annual changes of the polar motion, planetary obliquity and lunar acceleration appear to be the dominant physical mechanisms behind the SLR problem. These factors are largely driven by strong earthquakes. The rising oceanic tides in the last century up to the present is largely due to North Pole migration. Apparently, the polar motion and North Pole precession are possibly caused by the increased eccentricity of the lunar orbit through changes in the lunar distance and lunar acceleration.
Quantization of Entropic Gravity
Authors: Ponfilenok Oleg
Published: December 2024

We present a model of gravity in which the gravitational interaction is interpreted as a consequence of changes in information regarding the mutual positions of Planckian masses on a holographic screen. This approach builds on the entropic interpretation of gravity and the holographic principle. We show that Newton’s law of gravitation can be derived by considering entropy changes resulting from a small displacement of a mass. Furthermore, the minimal quantum of entropy, known from the quantization of black hole horizons, leads to the concept of a “quantum of gravitational force.” In addition, we introduce an uncertainty principle for mass. A prospective experimental test of these hypotheses, using highly sensitive torsion balances, is also proposed.
Sustainable food systems & urban dietary transitions: Key issues for the IPCC Special Report on Climate Change and Cities
Authors: Spillane Charles , Chekol Dawit Alemayehu , Hoang Ky , Plazas Carlos Andrés Rodríguez , Ssekandi Shamilah Nassozi , Tessema Yared Mesfin , Varley Ciara , McLaughlin Isabel , Mashizha Tinashe , Lorente Anna , Brychkova Galina , Murray Una , McKeown Peter C.
Published: December 2024

The Intergovernmental Panel on Climate Change (IPCC) is preparing a new IPCC Special Report on Climate Change and Cities, which will address issues of climate mitigation, adaptation and just transitions in cities and urban systems. In this context, accelerating the sustainable transitions of the diets and food systems of cities is critical to ensuring that the planet remains within key planetary boundaries, including the 1.5 C limit for global warming. The EU/IFAD EcoFoodSystems project [https://ecofoodsystems.org/] is focused on research to enable food systems transitions in city regions that can deliver diets that are more sustainable, healthy and affordable. The EcoFoodSystems project is working with stakeholders in Vietnam (Hanoi), Ethiopia (Addis Ababa) and Colombia (Cali) to conduct research to enable accelerated transitions towards more sustainable, healthy and affordable diets. To contribute to the process for developing the new IPCC Special Report on Climate Change and Cities, the EU/IFAD funded EcoFoodSystems project provides the following initial guidance and inputs to the scoping process for the IPCC Special Report on Climate Change and Cities.
Evaluation of Health Literacy in Turkey in Line with Scientific Studies
Authors: Dal Biçer Türkan , Biçer Ramazan
Published: December 2024

The aim of this study is to evaluate health literacy in Turkey in line with scientific studies. In this study, qualitative research model and document analysis technique were used. The data of the study were analyzed by descriptive content analysis, one of the types of content analysis. The problem of the study was defined as “What is the general trend of scientific studies on health literacy in Turkey?”. The findings of the research were illustrated in accordance with the determined purpose and given with tables and comments. In line with the determined purpose; it was stated that the years with the highest number of studies were 2019, 2022 and 2023 with three studies each, 6 master's and 5 phd studies were prepared according to thesis types, studies were prepared to determine the health literacy levels of teachers and university students according to the subject distribution, the universities with the highest number of studies were Ankara and Gazi universities, quantitative research method was used more among the research methods, studies were conducted with undergraduate and associate degree students at most, and the most used data collection tools were scales, T-tests and descriptive statistics. Accordingly, by evaluating health literacy in Turkey in line with scientific studies, it was determined that the general trends related to health literacy are high. The study was concluded with recommendations.
Analyzing Influences on Consumer Attitudes Toward E-Commerce
Authors: Tehrani Radin , Ramezanian Hasan
Published: December 2024

Customer purchasing decisions are significantly influenced by their evaluation of a product's advantages, disadvantages, and emotional appeal. Studies in psychology and marketing indicate that emotions play a crucial role at various stages of the purchasing journey. This research aims to explore the emotional factors affecting consumer behavior when purchasing luxury cosmetics. A qualitative approach was employed, involving in-depth semi-structured interviews with 23 individuals who regularly use premium cosmetics and health products and participate in Telegram communities. The findings uncovered a range of emotional responses and highlighted key triggers within the target demographic.In the next phase, a panel of 15 experts—including professionals from marketing, psychology, digital luxury cosmetics businesses, and managers of online hygiene and beauty groups—collaboratively identified variables influencing consumer emotions. This process followed a three-step consensus methodology, leading to the recognition and prioritization of 36 emotional influence factors. These factors were subsequently categorized into three groups: personal attributes, product and group-related variables, and environmental factors.
BRAINGNNet: Graph Learning Models for Chronic Pain Detection through EEG Biomarkers
Authors: Dodd Zeyno Aygen , Muccino Eric
Published: December 2024

Advancements in healthcare have yet to resolve the longstanding challenges associated with the objectiveassessment of pain, particularly chronic pain, due to the complexity of identifying specific neuro markers. Clinical practices still predominantly rely on subjective assessments and rating scales, requiring more accuracy, reproducibility, and broader applicability for widespread clinical or research adoption. This study explores a novel approach to chronic pain detection leveraging Electroencephalographic (EEG) biomarkers. As part of our discovery phase, we developed BRAINGNNet, a graph-based model integrating brain topology with EEG channel data and extracted features, utilizing open-source tools and publicly available datasets. The feasibility of this method was evaluated through a proof-of-concept implementation of a Heterogeneous Graph Attention Network (HAN). We successfully distinguished chronic pain states from control conditions by extending message-passing and attention mechanisms with meta-paths emphasizing pain pathways. Our preliminary findings, supported by BNNHan’s promising predictive performance, demonstrate the potential of this lightweight, data-driven framework to enhance chronic pain detection, monitoring, and management in clinical applications. These results pave the way for more scalable and resource-efficient solutions to address chronic pain as a critical healthcare challenge.
The Efficiency of Ambiguity: Abstract References Emerge in Coarse Contexts
Authors: Briotto Anna , Kobrock Kristina , Bruni Elia
Published: December 2024

We investigate how context granularity, i.e. whether fine or coarse distinctions need to be made, influences an emerging lexicon. We conduct an agent-based simulation of a concept-level reference game, in which agents learn to communicate about concepts that are operationalized by combining multiple objects. We create three experimental conditions by manipulating the context in which the instances of the target concept appear: In the fine context condition, agents must make precise distinctions between similar targets and distractors. In the coarse context condition, targets are easy to discriminate because they share no overlapping features with the distractors. In the mixed baseline condition, both fine and coarse distinctions are necessary.Our results suggest that agents adapt their communication strategies to the granularity of the context in which they learned the concepts. In the fine context and baseline conditions, agents develop a communication protocol heavily based on one-to-one mappings between messages and concepts. Conversely, in the coarse context condition agents communicate more efficiently by vastly relying on abstract references that may refer to more than a single concept but are unambiguous in context. These results show that ambiguity emerges in coarse contexts and that ambiguous abstract terms are used for more efficient communication.
Reassessing the Metrics of Integration: Toward Eliminating the Blur between Theory and Statistics to Clarify Effect Sizes, Measurement, and Causality in Acculturation Psychology
Authors: Grigoryev Dmitry , Gallyamova Albina , Komyaginskaya Elizaveta
Published: December 2024

The debate around the integration hypothesis in acculturation research often hinges on the interpretation of effect sizes. Critics label these effects as too small and inconsistent, questioning their significance, while supporters argue they are robust enough to validate the hypothesis. This controversy underscores a broader challenge and widespread misunderstanding among psychologists regarding the philosophical basis of measurement and causality, specifically the vague criteria for what constitutes a ‘sufficient’ effect size. The ambiguity may arise from the field’s limited focus (characteristic of psychology in general) on the issues of measurement, and is compounded by the common ‘ergodic fallacy,’ which mistakenly applies group level characteristics to individuals. This paper addresses these issues through three main discussions. Firstly, it evaluates the ongoing debate on the integration hypothesis in light of recent meta-analyses. Secondly, it analyzes how effect sizes should be attributed—whether to populations, samples, or individuals—and establishes criteria for assessing their significance. Lastly, it examines the philosophical underpinnings of measurement in psychology and causality. By exploring these areas, the paper aims to clarify and enhance the coherence of discussions on effect sizes, measurement, and causality in acculturation research.
Power analysis for loglinear growth models
Authors: Moerbeek Mirjam , de Jong Kim , Bovendeerd Bram
Published: December 2024

Multilevel analysis is often used to analyse longitudinal growth data. However, sample size calculations in an a priori power analysis are often based on simpler models. As a result, sample sizes may be inadequate or unnecessarily high.This article shows how to calculate sample sizes for a log-linear growth model using a user-friendly online app. The methodology is illustrated using a psychotherapy trial.
Technostress und Digital Burnout im Kontext der Ergotherapie: Definition, Begriffsbestimmung und Relevanz
Authors: Tiebel Jakob , Ernst Franziska
Published: December 2024

Die digitale Transformation beeinflusst die Ergotherapie (ET) auf mehreren Ebenen. Technostress (TS) und Digital Burnout (DB) entstehen durch eine Überforderung im Umgang mit Informations- und Kommunikationstechnologien (IKT) und wirken sich auf die Arbeitszufriedenheit von Fachkräften, die therapeutische Beziehung und die Betätigungsmöglichkeiten von Klienten aus. Der vorliegende Artikel definiert TS und DB, beleuchtet diese Phänomene aus einer multiperspektivischen Sicht und spiegelt den aktuellen Stand der Wissenschaft wider. Dabei werden Implikationen für die ET abgeleitet, um die Herausforderungen der digitalen Transformation zu adressieren.
A new perspective on the development of Quebec French rhotic vowels
Authors: Lipari Massimo , Sonderegger Morgan
Published: December 2024

Quebec French is reportedly developing rhoticity, with low F3 resulting from a bunched or retroflexed tongue (like English /ɚ/), in some or all of its front mid rounded vowels /ø, œ, œ̃/. The source of this rare, understudied sound change is unclear from previous work: contact with English and contrast enhancement have been suggested, and phonologization of coarticulation is typologically plausible. We examine this issue, investigating the apparent time change in the F3 trajectories of the three vowels using generalized additive mixed models on a corpus of parliamentary speech (106 speakers from across Quebec). We observe rhoticity in /ø/ and /œ̃ /: men begin with low F3 in these vowels, and women show change in progress. Conversely, there is less clear evidence of change in /œ/. We suggest these findings are best explained by rhoticity being a two-phased change, originally due to borrowing and subsequently spreading through contrast enhancement. Rhotacization, we argue, is the combined product of intensive exposure to English (which led to frequent non-integration of bunched/retroflex segments in loanwords) and an exceptionally large vowel inventory. It thus results from the unique interplay of social and phonological factors in Quebec French, which is consistent with such changes being cross-linguistically rare.
Independency of Central Bank: An Overview
Authors: Pant Harihar Dev
Published: December 2024

Not available.
Precise Excitation of a Switched Reluctance Machine under Regenerative Mode in High-Speed Operation
Authors: Riyadi Slamet , Pratomo Leonardus Heru
Published: December 2024

The implementation of electric machines in electric and hybrid electric vehicles offers some advantages, including the ability to operate in regenerative mode. Switched reluctance (SR) machines have been alternative solutions due to their characteristics. Operating an SR machine in propulsion mode requires high torque and minimal torque ripple, while producing optimal output power in regenerative mode is required. In high-speed operation, when the back electromotive force is greater than the DC link voltage, single pulse-based methods are often used. Torque ripple problems can be neglected due to rotor inertia. In this paper, a single pulse-based control for SR machines in high-speed operation under regenerative and discontinuous conduction modes is analyzed. Excitation to magnetize the rotor and generation process to produce output power are compared to determine the effectiveness of energy saving during regenerative mode. By using a simple control strategy, precise excitation angles can be obtained to turn the machine on and off. Experimental work has been done to support the analysis. They show that by using proper excitation angles, the optimal output power can be generated.
Forearm Bio-Medical Signal Processing
Authors: Shakya Sahaj , Ranjitkar Bipul
Published: December 2024

This research utilizes low-dimensional surface EMG and EEG data, obtained from the human arm using ECG electrodes, to analyze forearm muscle signals through a novel approach. Both EMG and EEG signals are employed side by side: EEG captures brain activity, particularly in the beta (13-30 Hz) and alpha (8-12 Hz) frequency ranges, while EMG focuses on muscle activity in the 20 Hz to 200 Hz range. Beta waves are associated with motor planning and voluntary movements, while alpha waves decrease during movement execution, indicating disengagement from a resting state. Event-related desynchronization (ERD) of alpha and beta waves is vital in understanding motor tasks, including forearm movements. Although EEG alone showed a poor response in tracking movement execution, EMG provided better performance, with higher frequencies reflecting more intense muscle contractions and motor unit activation. The combination of EEG and EMG improves the analysis of event-related potentials (ERPs) in timing tasks, enabling precise monitoring of both brain and muscle activity. However, coordinating both signals can be complex and often relies on user experience. Extensive experimentation confirms that using this dual approach is feasible and effective in replicating natural arm movements. The findings highlight important advancements in applying signal processing techniques to muscle activity analysis, providing new insights into the control of muscles and enhancing accessibility to modern assistive technologies.
Performance Comparison of Two Waste Plastics (Low-Density Polyethylene (LDPE) and Polyethylene Terephthalate (PET)) for Asphalt Pavement on the Basis of Marshall Test
Authors: Khadka Reeta , Poudel Dipika , Timsina Dikshya , Madai Padam Bahadur
Published: December 2024

Plastic disposal is a significant problem as it is non-biodegradable and causes air pollution if burned. The utilization of waste plastics in road construction has gained attention due to environmental concerns and the need for sustainable development of infrastructure. This research investigates the performance analysis of two different waste plastics, lowdensity polyethylene (LDPE) and polyethylene terephthalate (PET), for the construction of asphalt pavement based on the Marshall Stability Test. The Optimum bitumen content (OBC) is found to be 5.2% and LDPE and PET (8% and 10% by weight of bitumen) were used. The use of both LDPE and PET on the asphalt pavement has Marshall stability and Marshall flow values in the usable range as specified in the specification criteria of the Standard Specification for Road and Bridge Works (SSRBW). Both 8% and 10% PET perform better than same percentage of LDPE.
Eye Controlled Electric Wheelchair: Proof of Concept Using an Arduino Robotic Car
Authors: Koirala Arjun , Subedi Gokul , Paudel Sushmit , Magar Bipin Thapa
Published: December 2024

This research aims to develop an electric wheelchair that can be controlledby using eye gestures, providing an intuitive and accessible interface for individuals with mobility impairments. The eye gesture is captured with the help of a camera and the live image is then preprocessed and fed to a CNN-based model for classification. The gesture is classified into 4 classes, namely, forward, left, right, and stop. Based on the classification, a signal is sent to the wheelchair through Bluetooth and the control system of the wheelchair operates as per the instruction. For the model training, the datasethas been collectedwith image frames of eye movement representing different control commands. The dataset is then trained using a ResNet-18-based CNN model. The model is then deployed on a mobile device which takes the image of the user’s eyes from the camera and inferences the image to find the eye movement. The movement is then recognized, and appropriate control signals are generated and transmitted to the wheelchair through Bluetooth. The receiver in the wheelchair maps the transmitted signal to the specific movement and turns the actuators in the appropriate directions.Hence, the wheelchair can interpret eye movement captured by the camera, accurately recognize pupil movement, and translate them into control signals mapped from the predicted values given by the model, ultimately empowering users with improved mobility and independence. On testing the system under various lighting conditions and with different users, the control system showed 90.25% accuracy and the overall movement of the system showed an excellent result in following the user's eye movement in real-time. But when tested on very low light conditions, especially during night time, the system cannot perform as expected and often predicts random and false values.
Assessing User Contentment in Long-Distance Public Transport: An Analytical Approach Utilizing Principal Component and Regression Analysis
Authors: Gautam Niroj , Shahi Thusitha Chandani , Pokhrel Sudip
Published: December 2024

This study assesses the performance of long-route public transport services, considering passenger contentment as a key metric through the application of a passenger satisfaction approach. A self-rating questionnaire with a 5-point Likert scale was used to rate 16 different variables. The variables were selected after a literature review and consulting with relevant stakeholders. Data collected from com passengers were analyzed to determine the passengers’ comfort and satisfaction using Principal Components Analysis (PCA) and Regression Analysis. Variables with higher-than-average scores indicate that passengers are satisfied with that variable.16 variables with strong correlation among each other were collapsed into different component using PCA. Furthermore, the components extracted from PCA along with two extra variables that are age and sex were regressed to find the mean passenger satisfaction score. This research fills the gap by specifically targeting long-distance public transport in Nepal, an area that has not been extensively studied. It explores the perceptions of passengers regarding the facilities provided by long-route public transport services and identifies the major factors contributing to passenger satisfaction. Previous studies have often emphasized factors such as service quality, comfort, and safety in urban bus services, but there is a notable lack of research addressing the unique challenges and passenger experiences associated with long-distance bus travel. This study can offer theoretical assistance in devising relevant strategies to enhance the satisfaction level of public commuters.
Perception of nursing students and faculty on problem based learning
Authors: Awale Shanti , KC Sarala , Pun Khagi Maya , Panthee Bimala , Maharjan Babu Raja
Published: December 2024

Introduction: Problem-based learning (PBL) is an active learning technique where learning takes place through solving real-problems that facilitates lifelong learning. Nursing as well as medical students have considered PBL method to be more interesting as compared to conventional teaching. Implementation of problem based method of learning in nursing curriculum is new and the first of its kind in context of Nepal. Thus, this study aimed to find out the perception on PBL among nursing students and faculty.
Method: A cross-sectional analytical study was conducted in May-Jun 2023 to assess the perception on PBL among 143 bachelor of nursing students and 20 nursing faculty who were involved in PBL sessions of PAHS, School of Nursing and Midwifery. A convenience sampling was employed through online Google form. The Statistical Package for Social Sciences (SPSS) was used to analyze data.
Result: Out of 143 students, 65(45.45%) were first year students and 78(54.55%) were second year students. Regarding perception on PBL, 137(95.80%) of students and 19(95.00%) faculty had positive perception. The highest mean score for the student (3.32±0.68) was found on the statement “PBL promotes students’ self-directed learning on the topic”. Likewise, the highest mean score (3.55±0.51) for the faculty perception was on the statement “PBL promotes students’ participation in the learning process”.
Conclusion: This study shows the students and faculty had positive perception on PBL as a teaching learning methods in bachelor level nursing program.
Classification of Dog Emotion Using Transfer Learning on Convolutional Neural Network Algorithm
Authors: Tribethran Steven , Jacky Pratama Hasan Nicolas , Rahman Abdul
Published: December 2024

Recognizing your pet's emotions are very important to improve health, welfare and to detect certain diseases in the animal. The emotions in question are categorized into four categories, namely anger, happiness, calmness, and sadness. The model is designed by utilizing transfer learning techniques using the VGG16 architecture to perform image feature extraction for dog emotion classification based on the image of the animal's facial expression. The research produced an accuracy value of 96.72% on the training set and 88.05% on the validation set, as well as an average F1-Score value of 84.30% on the test set. This research shows the great potential of utilizing transfer learning in dog emotions classification and contributes to more advanced emotion recognition techniques to improve pet’s welfare.
Analysis of CSR Disclosure Practice in Sustainability Reports: A Case Study of Mining and Agriculture Companies in the Indonesia Sharia Stock Index
Authors: Wulandari Nurafifah , Saleh Rahmat
Published: December 2024

The urgent need for CSR disclosure is not only for the company's internal needs in accountability, transparency, risk management, and business sustainability but also includes compliance with regulations and ensuring the reputation of the company's image for the trust of stakeholders, especially the surrounding community. The current situation related to the activities of mining and agricultural companies, which are risky and sensitive to the social environment and political economy, has become a major concern for various parties in Indonesia. Corporate Social Responsibility (CSR) has now become an obligation for companies that run their business activities directly or related to natural resources, which can be reported in the sustainability report. The study aims to determine the description of CSR disclosure practices in sustainability reports with the Sharia Enterprise Theory (SET) approach. The measurement indicators used are the GRI Standard and Sharia compliance, which consists of 4 categories in measuring CSR disclosure carried out by the content analysis method. This research was conducted on companies listed on the Indonesian Sharia Stock Index (ISSI). The number of samples in this study was 11 companies consisting of 6 mining companies and five agricultural companies obtained by purposive sampling technique. This study did not include the 2020-2024 period in the analysis because the global economic crisis due to the COVID-19 pandemic made companies change their priorities. The results showed that, in general, the concept of SET in CSR disclosure has been applied by companies in terms of habluminallah and habluminannas, with an average disclosure of 47 items out of 123 items per company. The company that disclosed the most was PT Timah Tbk, with a score of 65 items, and the lowest was PT Austindo Tbk, which had 30 items. Our findings have alternative implications for the government in several ways, including strengthening regulations and policies, supervision and law enforcement, incentives and support, and pressure on companies to provide space for public involvement and participation.
Дистанційна освіта в умовах екстремальної ситуації (на прикладі самоізоляції: березень-травень 2020 року)
Authors:   Мукачівський державний університет, Щербан Т. Д. , Гоблик В. В.
Published: December 2024

Використовуючи результати соціологічного дослідження студентів, аспірантів та викладачів університету, автори аналізують переваги й недоліки дистанційної освіти в екстремальній ситуації, зокрема, в умовах вимушеної самоізоляції через епідемію коронавірусу. Здійснено зіставлення результативності освітнього процесу в умовах очного і дистанційного навчання. Показано відмінність дистанційної освіти як прогресуючої комунікаційної форми в навчальному процесі та освіти в умовах вимушеної самоізоляції і масового синдрому побоювання захворювання через епідемію.
Students Needing Remediation in Preclinical Course Failures in a DVM Program: A 10-Year Analytic Study
Authors: Raghavan Malathi , Salisbury S. Kathleen , Weisman James L.
Published: December 2024

Remediation of preclinical course failures in the DVM program at Purdue University College of Veterinary Medicine began in 2010. We set out to understand whether some students were more likely than others to use remediation opportunities and succeed. Student demographics, undergraduate (UG) experiences, including institution attended and major studied, UG performance as measured by grade point average (uGPA), and extent of academic difficulties in DVM years 1−3 were studied at univariate levels to determine which students more often failed ≥1 courses, remediated ≥1 courses, and were successful in all remediation attempts. Among 815 students in DVM Classes 2014–2023, 157 failed ≥1 courses. Risk factors associated with failing ≥1 courses and with unsuccessful remediation were identified using multiple logistic regression analysis. Unsuccessful remediation, resulting in student's academic attrition, was defined as not succeeding at remediation of all failed courses, including being ineligible for or not attempting remediation. Risk factors were considered statistically significant at P value <0.05. Lower uGPA, having attended a minority-serving institution, and being an underrepresented minority or an international student were associated with increased likelihood of failing ≥1 courses. However, the only factors associated with unsuccessful remediation were failing ≥3 courses in DVM years 1–3 and failing at least one course in DVM year 1. No demographic or UG educational background is associated with unsuccessful remediation. Taken together, our models suggest that being at risk of failing ≥1 courses in DVM years 1–3 did not inevitably put students at risk of attrition when remediation opportunities were provided. However, an increasing number of course failures and failures beginning in DVM year 1 increased the risk of unsuccessful remediation. Early intervention to minimize academic difficulties in DVM program may mitigate risk of student attrition.
PENGEMBANGAN MEDIA LAYANAN INFORMASI BERBASIS FLIPBOOK SEBAGAI PENCEGAHAN KEKERASAN SEKSUAL PADA SANTRI PESANTREN NURUL HUDA CIREBON
Authors: Henki Dahabid , Amalia Ulfa , Rossydah Soffa
Published: December 2024

Cases of sexual violence in pesantren are still an iceberg phenomenon that only seems to be the peak, in the sense that the case is still rarely revealed, not complained, not reported, or even often covered up for various reasons. Development of information services on sexual violence prevention in students in pesantren, the development of flipbook media aims to provide an understanding of sexual violence prevention in students in pesantren through guidance and counseling information services. This study used the Rnd (Research and Development) method with a research sample of 10 respondents who were students of Nurul Huda Islamic Boarding School Cirebon. Based on the results of the material validation test with a percentage of 90%, the results of the media validation test of 87% and user validation with the results of 81.5%, flipbook-based information services are said to be suitable for use by students or students as learning media
ANALISIS BUKU “DARI BENIH KE POHON CEDAR” DALAM PENERAPAN PROPHETIC PARENTING
Authors: Dewi Chandra , Nurullah Titi Latifah , Syawalia Shalsa , Adzani Alifah , Jasmine Putri , Nurmala Cindy
Published: December 2024

Parenting in Islam is important to learn because it teaches a lot about how parents educate children in accordance with Islamic teachings. Like wanting to plant a tree that starts from seed, the seed you want to plant should be good so that the plant to be planted becomes good and full of blessings. Someone who wants to start a household should pay attention to several things that can trigger the wrong parenting style to avoid and create a healthy family. The purpose of this research is to identify indicators of improper parenting, the impact of wrong parenting on child development, and steps to implement good parenting according to Islam. The research methodology used is Literature Review, with the aim of collecting, summarizing, and analyzing findings from previous research. Based on the findings of this study, according to the Islamic view, it starts from choosing a partner in the household and the role of parents in educating children. It is important for parents to balance the skills in educating and nurturing children with good parenting and caring in overcoming the problems experienced by their children so that the two things become a balanced whole. Islamic parenting has an important role to play in educating children, focusing on the pre-conception, prenatal, and post-natal periods. Good parenting according to Islam starts from covering the selection of partners in the household, the role of both parents in educating children, and the provision of education and tarbiyah.
PENDIDIKAN NILAI MELALUI UKM FKIP MENGAJAR ULM SEBAGAI DAYA DORONG PENCAPAIAN KARAKTER PRESTASI
Authors: Ruswinarsih Sigit , Nur Rahmat , Sauri Sofyan , Kosasih Aceng , Hidayah Eka Nur
Published: December 2024

Value education implemented in the form of student character education is an effort to instill noble values. Student involvement in organizational activities such as student activities units (UKM) aims to shape the character of achievement. This study aims to reveal the driving force for students to join UKM. In turn, activities in UKM make education valuable for the formation of student character based on the value of achievement. As the research method, a qualitative research approach was chosen through the case study method at UKM FKIP Mengajar Lambung Mangkurat University. The result of the study illustrates that students are encouraged to participate in activities because of the need for achievement, power or leadership, and social relationships or interactions with other people and groups. This drive makes the student’s character stronger and can become their provision as agents of change.
IDENTIFIKASI GEJALA STRES AKADEMIK PADA SISWA DILIHAT DARI GEJALA EMOSIONAL DI SMA N 17 TEBO
Authors: Apriyanto Yudi , Rasimin Rasimin , Yusra Affan
Published: December 2024

This research is aims to look at the emotional symptoms of academic stress in students at SMA Negeri 17 Tebo using descriptive quantitative methods with persentase analysis Formula C. This research took 80 respondents from students at SMA Negeri 17 Tebo. The results of this research show that the emotional symptoms of academic stress in SMA Negeri 17 Tebo as a whole are at a percentage level of 54.06% and are in the medium category.It can be concluded that the academic stress experienced by students at SMA Negeri 17 Tebo requires special intervention from teachers and the school so that it does not become a high level.