bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Digital Transformation on University Brand Image with Ownership as a Moderating Variable
Authors: Julita Julita , Helmi Sulaiman , Gunarto Muji , Sartika Dewi
Published: March 2024

The digital era demands transformation from universities, including private ones. However, the effectiveness of digital transformation on university brand image can be strengthened by ownership. This research investigates the impact of digital transformation on the university's brand image, with ownership as a moderating variable. Using random sampling, we analyzed 45 private universities affiliated with Private Universities in Indonesia Region 2A. This exploratory study employed a quantitative method. The results indicate a significant positive relationship between digital transformation and university brand image, suggesting an enhancement of the university's reputation in the eyes of the public. However, the study also reveals that ownership does not mediate the relationship between digital transformation and university brand image. This suggests that each university may have different Ownership Competencies, especially in decision-making regarding digital transformation. The conclusion of this research indicates that digital transformation affects university brand image. However, specifically in the case of universities in LLDIKTI Region 2, ownership does not moderate the effects of digital transformation on university brand image. It is recommended that this research be continued using mixed methods to explore ownership moderation or test it in other regions' universities.
STRATEGI PEMBELAJARAN BAHASA ARAB PADA TINGKAT DASAR DI MI AL-KHAIRIYAH JAKARTA BARAT
Authors: Fatihah Nur Fitriani
Published: March 2024

Penelitian ini bertujuan untuk mengetahui strategi pembelajaran bahasa Arab di jenjang sekolah dasar khusunya di MI Al-Khairiyyah. Hasil Penelitian menyimpulkan bahwa ada beberapa strategi yang digunakan oleh guru bahasa Arab di MI al- Khairiyyah yaitu strategi pembelajaran langsung yang meliputi strategi Memori, Kognitif dan kompensasi, dan trategi pembelajaran tidak langsung yaitu strategi metakognitif. Tulisan ini merupakan penelitian lapangan yang menggunakan pendekatan kualitatif dan analisis deskriptif.
Empowerment in Human Rights Education Theories: Towards a Dialectical Model
Authors: Timsina Ramesh
Published: March 2024

The concept of empowerment is central to Human Rights Education (HRE) theories. HRE is a newly established field of educational theory that has received significant attention globally since the early 1990s. It primarily concentrates on disseminating knowledge about human rights and aims at empowering the global populace. However, prescriptive HRE often disregards the life experiences of the oppressed. Therefore, there is an urge to develop critical human rights education to implant empowerment in the oppressed truly. This article argues for the dialectical model of empowerment in HRE based on the episteme of the oppressed and the mutual dialogue that regenerates the entire field of HRE. The article primarily draws on Paulo Freire’s valuable notion of the ‘pedagogy of the oppressed’ to analyze the nuances of empowerment in HRE theories and actualize the necessity of a dialectical model of HRE to empower people.
DETERMINAÇÃO DE CUSTOS E ANÁLISE DE RENTABILIDADE DA TERMINAÇÃO DE BOVINOS DE CORTE EM SISTEMA SEMICONFINADO
Authors: Schwalbert Pezente José Henrique , De Camargo Debortoli Elísio
Published: March 2024

A bovinocultura de corte é uma atividade relevante no país e também no estado do Rio Grande do Sul. Este estudo teve como objetivo determinar o resultado econômico da terminação de bovinos de corte em sistema semiconfinado em uma propriedade localizada na região do Alto Jacuí, do estado do Rio Grande do Sul, para os ciclos de produção dos anos de 2019, 2020 e 2021. A propriedade está localizada na cidade de Colorado-RS, e possui como atividade principal a bovinocultura de corte. Para a análise de rentabilidade, foram utilizadas estruturas propostas por Matsunaga et al. (1976) e CONAB (2010), considerando: custos fixos, custos variáveis, custos operacionais, renda dos fatores e custos totais. As receitas da atividade foram compostas pela venda de animais para abate, venda de aveia provenientes das áreas destinadas à pecuária, ganho de capital com animais em estoque, transferidos de um ciclo para outro. Os preços de insumos agrícolas foram considerados os valores nominais, anotados pelo produtor em seus registros. Para análise econômica da atividade foram usados os indicadores: margem bruta; margem líquida; resultado econômico; lucratividade e; ponto de equilíbrio. Os resultados apresentaram custos operacionais com a maior proporção de custos, destacando-se o item alimentação. Outro item representativo foi com a compra dos animais para a engorda. A propriedade apresentou rentabilidades de 40,39% para o ciclo de produção do ano de 2021, sendo menor que as rentabilidades dos anos anteriores, demonstrando a redução das margens do resultado econômico a partir do aumento no preço dos insumos.
APOL 1 Risk Genotype is associated with Albuminuria in Sub-Saharan African without Hypertension: A Case Study of Trypanosoma Brucei Gambiense Endemic Area
Authors: Mupepe Dominique M. , Bayauli Pascal M. , Buila Nathan B. , Situakibanza Hippolyte N. , Ekulu Pépé M. , Wameso Marie-Noelle N.L. , Nkoy Agathe B. , Okamba Armand P. , Bikoumou Victoire A. , Karume Kevin L. , Heuvel Lambertus P. Van den , Levtchenko Elena N. , Mumba Dieudonné N. , Kabangu Jean René M’Buyamba
Published: March 2024

Purpose. An association between APOL1 risk genotypes (HRG) and hypertension has been reported in African Americans with chronic kidney diseases (CKD). However, such data from African populations living in a Human African Trypanosomiasis (HAT) endemic area remain limited.This study assessed the association between APOL1 high-risk genotypes (HRG) and hypertension among sub-Saharan African in T.b. gambiense endemic area.

Methodology. This cross-sectional study enrolled 94 HAT-infected and 144 non–infected participants in Masimanimba, the Democratic Republic of the Congo, from April 2019 to April 2021. We evaluated the association between APOL1 HRG and hypertension in HAT-infected and non–infected participants. APOL1 HRG was defined as the presence of two risk variants (G1/G1, G2/G2, or G1/G2), and a low-risk genotype (LRG) with the presence of 0 or 1 single variant. The elevated albuminuria was defined as urinary albumin/creatinine ratio ≥ 30 mg/g. Student’s and Pearson's Chi2 tests or Fisher’s exact test were used to compare means and proportions. The Wilcoxon/Mann–Whitney test was used to compare medians. A multivariate logistic regression model was used to identify independent determinants of hypertension. Odds ratios were provided with their 95% confidence intervals (Cis). Statistical significance was set at p < 0.05, based on 2-tailed test.

Findings. APOL1 sequence analysis revealed that 3 of 21 (14.3%) hypertensive participants carried HRG (G1G1) and 7 of 103 (6.8%) non-hypertensive carried HRG (G1G1, G2G2, and G1G2) (p=0.371). The frequency of APOL1 HRG among hypertensive participants was 14.3% in both HAT- infected and uninfected individuals. Ten of 21 (47.6%) hypertensive individuals with elevated albuminuria had a higher incidence of CKD (100% vs.  0%; p < 0.001) and HRG (30% vs. 0%; p = 0.09) than 11 (52.3%) without albuminuria who carried LRG. Of 103 non-hypertensive subjects, 43 (41.7%) with elevated albuminuria had a higher frequency of HRG (16.3% vs. 0%; p = 0.002) and CKD (100% vs. 1.7%; p<0.001) compared with 60 of 103 (58.3%) without albuminuria who carried LRG.

Unique contributor to theory, policy and practice:  APOL1 HRG was associated with albuminuria and CKD, regardless of the hypertension status in T.b. gambiense HAT endemic area. However, further prospective cohort studies are required to confirm these results. The High-risk subjects will benefit from early preventive measures in low-income countries.
Financial Oracle: Unlocking Credit Scores
Authors: Srinivas T. Aditya Sai , Bharathi M.
Published: March 2024

This paper provides individuals with a reliable tool for predicting their credit scores based on various financial attributes. Leveraging ML models, specifically a Random Forest classifier, our system analyzes features such as yearly income, salary, bank accounts, credit card usage, loan history, and payment behavior. Users can input their financial information, and the system generates a predicted credit score. This predictive tool empowers individuals to gain insights into their creditworthiness, enabling better financial planning and decision-making. By offering a user-friendly interface and accurate predictions, our project seeks to assist users in understanding the factors influencing their credit scores and ultimately improving their financial well-being. With the increasing importance of credit scores in financial transactions and lending decisions, our tool serves as a valuable resource for individuals seeking to manage their finances more effectively.
Research on Experiences of Teachers and Children through Childcare Curriculum Consulting
Authors:   The K Association of Education Research, Kang Sung-Hee , Jae Kyung-Sook , Kim Hyun-Joo
Published: March 2024

The purpose of this research is to explore changes and progress observed in both teachers and children during customized childcare curriculum consulting sessions developed based implementation of self-examination. The research was carried out among 6 teachers of childcare centers. This research was conducted in conjunction with the childcare curriculum consulting project of “A” Childcare Support Center as part of the 4th Standardized Childcare Curriculum implementation. The following were collected: in-depth qualitative interviews, journals kept by research participants, pictures of playtime, video clips, and researcher notes. The collected materials were transcribed and coded with coded responses grouped based on themes as needed. The results were the followings. First, teachers observed with care when children were playing and supported children to find purpose and lead their play time. Second, children became more independent during their playtime and proactively created their own plays. The childcare curriculum consulting supported teachers to implement goals of play-centered and child centered childcare curriculum through implementation of selfexamination.
The Relationship Between the Digital Information Utilization Capabilities, Social Capital, and Life Satisfaction of Immigrant Women
Authors:   The K Association of Education Research, Kim Jun-Su , Cho Woo-Hong
Published: March 2024

The purpose of this study is to verify the mediating effect of social capital in the relationship between marriage immigrant women's digital information utilization capabilities and life satisfaction. To achieve this research objective, the responses of 563 women among marriage immigrants in the “2022 Digital Information Gap Survey” data were used using SPSS 25.0 and AMOS 24.0 statistical packages, with digital information utilization capabilities as the independent variable and life satisfaction as the dependent variable. It was set to . In addition, the hypothesis was tested using a structural equation model using social capital, which is expected to play a mediating role in their relationship, as a mediating variable. As a result, first, the impact of marriage immigrant women's digital information utilization capabilities on life satisfaction was not statistically significant. Second, marriage immigrant women's ability to use digital information had a positive effect on social capital. Third, the social capital of married immigrant women was found to have a positive (+) effect on life satisfaction. Fourth, as a result of confirming statistical significance through bootstrapping of the impact of digital information utilization capabilities on life satisfaction through social capital, the confidence interval did not include 0 and was statistically significant. As a result, it was confirmed that marriage immigrant women's social capital fully mediated the relationship between their digital information utilization capabilities and life satisfaction. Based on these research results, practical and policy efforts to improve the life satisfaction of married immigrant women were suggested.
Production and Dissemination of Fake News, and Regulation: from A Macro Perspective
Authors:   The K Association of Education Research, Kwak Sun-Hye , Lee Sung-Wook
Published: March 2024

Fake news reveals the most stimulating problem of the times. Academic research is expanding as controversy increases, but it is difficult to obtain a comprehensive understanding of fake news unless a large amount of research results are examined one by one due to the complex intertwining of various sub-topics. Therefore, this paper aims to gain a macroscopic understanding of the production, dissemination, and regulation of fake news through a single research result. First, the current major discussions and issues on the concept and scope of fake news were investigated, and the causes and propagation processes of fake news were reviewed to confirm how changes in the media environment and human psychology affect the spread of fake news. It also investigated the controversial discussion on the regulation of fake news and suggested that the regulation should be minimized in terms of freedom of expression and that it is desirable to be implemented in an alternative way, such as technical regulation. It is hoped that this article can contribute to streamlining the theoretical review of the research field, especially the convergence academic field, which finds new ways to effectively manage and regulate fake news by providing a macroscopic understanding of fake news through the above discussion.
Randomised Prospective Study to Compare Outcomes of Para Umbilical Hernia On-Lay Open Mesh Repair, with and without Drain
Authors: Summera Ambreen  , Ayesha Javed  , Riaz Hussain Siddqui
Published: March 2024

Objective: To compare the outcomes of open on-lay mesh hernia repair with and without the use of a drain in PUH cases, with the goal of determining the most favorable post-operative outcome.
Methodology: A prospective clinical study was conducted at the Department of General Surgery, Islamabad Medical Complex, NESCOM, a tertiary care hospital in Islamabad, Pakistan from January 2022 to December 2022. Fifty patients were enrolled and divided equally into two treatment groups (Groups A and B), with and without drain placement, respectively. The occurrence of complications such as seroma, hematoma formation, wound dehiscence, mesh infection, and length of hospital stay were compared between the two groups.
Results: Postoperative complications were more prevalent in Group A (with drain placement) compared to Group B. Seroma formation was more common in Group A (40% on the 5th day and 16% on the 14th day post-repair) compared to Group B (16% on the 5th day and 4% on the 14th day). Hematoma formation was also higher in Group A (12% on the 5th day) compared to Group B (8% on the 5th day); however, both groups showed a 4% incidence on the 14th day. Infected mesh was more frequent in Group A (8%) compared to Group B (4%), resulting in increased morbidity.
Conclusions: In small-sized para-umbilical hernia cases undergoing open on-lay mesh repair, the presence of a drain did not significantly affect the rate of postoperative complications. Seroma formation and infection incidence did not vary significantly between groups. However, patients with drain placement experienced a significantly longer hospital stay post-surgery.
Synthesis and Characterization of Iron Bimetallic Nano Particles from Neolamarckiakadamba
Authors: Mrs. K. Bharathi  , Mrs. D. Ganga Bhavani  , Mr. M. Anand Kumar  , Mrs. A. R. N. L. Sirisha
Published: March 2024

This paper describes rapid, sensitive and specific method for the preparation ofbimetallic nano particles of Iron and Zincwhich are later used in various in pharmaceutical preparations and also in Electrochemical cellsfrom green compounds along with characterization techniques. The physicochemical properties of the bimetallic Fe–Zn nanoparticles were investigated via TEM, SEM-EDX, XRD, IRand BET surface area analysis. SEM analysis confirmed the presence of nanoparticle crystals useful for the determination of the porosity, particle shape, and size. Therefore, the morphology of the nanomaterial was spherical in shape, and the particle size was in the nano range.
Courtly Experiments: Early Portrait Etchings by Lucas van Leyden and Jan Gossart
Authors: Horbatsch Olenka
Published: March 2024

For a brief moment in the early sixteenth-century Low Countries, etching became a significant technique for elite commissions. I examine the two earliest etchings made in the Low Countries as a case study: the portrait of Maximilian I by Lucas van Leyden and the portrait of Charles V by Jan Gossart, both made for the Hapsburg-Burgundian court in 1520. The etching technique was integral to the success of the two portrait prints, for both artists as well as their patron. This is a localized instance of artistic emulation and competition within the emergence of a new technique and subject: the Netherlandish portrait print.
Integration of Latex Formula in Computer-Based Test Application for Academic Purposes
Authors: E.Onyenwe Ikechukwu , Onyedinma Ebele , O.Ikechukwu- Onyenwe Onyedika , Agbata Obinna , N. Tubo Faustinah
Published: March 2024

LaTeX is a free document preparation system that handles the typesetting of mathematical expressions smoothly and elegantly. It has become the standard format for creating and publishing research articles in mathematics and many scientific fields. Computer-based testing (CBT) has become widespread in recent years. Most establishments now use it to deliver assessments as an alternative to using the pen- paper method. To deliver an assessment, the examiner would first add a new exam or edit an existing exam using a CBT editor. Thus, the implementation of CBT should comprise both support for setting and administering questions. Existing CBT applications used in the academic space lacks the capacity to handle advanced formulas, programming codes, and tables, thereby resorting to converting them into images which takes a lot of time and storage space. In this paper, we discuss how we solvde this problem by integrating latex technology into our CBT applications. This enables seamless manipulation and accurate rendering of tables, programming codes, and equations to increase readability and clarity on both the setting and administering of questions platforms. Furthermore, this implementation has reduced drastically the sizes of system resources allocated to converting tables, codes, and equations to images. Those in mathematics, statistics, computer science, engineering, chemistry, etc. will find this application useful.
Exploring the EV Charging Ecosystem and Performing an Experimental Assessment of its Cloud and Mobile Application Infrastructure Security
Authors: Patil Pooja , Dogan Sara Acikkol , Tout Samir , Parmar Ranu
Published: March 2024

The security of Electric Vehicle (EV) charging has gained momentum after the increase in the EV adoption in the past few years. Mobile applications have been integrated into EV charging systems that mainly use a cloud-based platform to host their services and data. Like many complex systems, cloud systems are susceptible to cyberattacks if proper measures are not taken by the organization to secure them. In this paper, we explore the security of key components in the EV charging infrastructure, including the mobile application and its cloud service. We conducted an experiment that initiated a Man in the Middle attack between an EV app and its cloud services. Our results showed that it is possible to launch attacks against the connected infrastructure by taking advantage of vulnerabilities that may have substantial economic and operational ramifications on the EV charging ecosystem. We conclude by providing mitigation suggestions and future research directions.
Image Segmentation and Classification using Neural Network
Authors: Zohra Fatema Tuj , Ratri Rifa Tasfia , Sultana Shaheena , Rashid Humayara Binte
Published: March 2024

Image segmentation and classification tasks in computer vision have proven to be highly effective using neural networks, specifically Convolutional Neural Networks (CNNs). These tasks have numerous practical applications, such as in medical imaging, autonomous driving, and surveillance. CNNs are capable of learning complex features directly from images and achieving outstanding performance across several datasets. In this work, we have utilized three different datasets to investigate the efficacy of various preprocessing and classification techniques in accurssedately segmenting and classifying different structures within the MRI and natural images. We have utilized both sample gradient and Canny Edge Detection methods for pre-processing, and K-means clustering have been applied to segment the images. Image augmentation improves the size and diversity of datasets for training the models for image classification. This work highlights transfer learning’s effectiveness in image classification using CNNs and VGG 16 that provides insights into the selection of pre-trained models and hyper parameters for optimal performance. We have proposed a comprehensive approach for image segmentation and classification, incorporating preprocessing techniques, the K-means algorithm for segmentation, and employing deep learning models such as CNN and VGG 16 for classification.
From Clicks to Security: Investigating Continuous Authentication via Mouse Dynamics
Authors: Dave Rushit , Handoko Marcho , Rashid Ali , Schoenbauer Cole
Published: March 2024

In the realm of computer security, the importance of efficient and reliable user authentication methods has become increasingly critical. This paper examines the potential of mouse movement dynamics as a consistent metric for continuous authentication. By analysing user mouse movement patterns in two contrasting gaming scenarios, "Team Fortress" and "Poly Bridge," we investigate the distinctive behavioral patterns inherent in high-intensity and low-intensity UI interactions. The study extends beyond conventional methodologies by employing a range of machine learning models. These models are carefully selected to assess their effectiveness in capturing and interpreting the subtleties of user behavior as reflected in their mouse movements. This multifaceted approach allows for a more nuanced and comprehensive understanding of user interaction patterns. Our findings reveal that mouse movement dynamics can serve as a reliable indicator for continuous user authentication. The diverse machine learning models employed in this study demonstrate competent performance in user verification, marking an improvement over previous methods used in this field. This research contributes to the ongoing efforts to enhance computer security and highlights the potential of leveraging user behavior, specifically mouse dynamics, in developing robust authentication systems.
A Comparative Study of Text Comprehension in IELTS Reading Exam using GPT-3
Authors: Le Christopher , Mohd Tauheed Khan
Published: March 2024

This paper discusses the capabilities and limitations of GPT-3 (0), a state-of-the-art language model, in the context of text understanding. We begin by describing the architecture and training process of GPT-3, and provide an overview of its impressive performance across a wide range of natural language processing tasks, such as language translation, question-answering, and text completion. Throughout this research project, a summarizing tool was also created to help us retrieve content from any types of document, specifically IELTS (0) Reading Test data in this project. We also aimed to improve the accuracy of the summarizing, as well as question-answering capabilities of GPT-3 (0) via long text.
Your Device May Know You Better Than You Know Yourself-Continuous Authentication on Novel Dataset using Machine Learning
Authors: Nascimento Pedro Gomes do , Witiak Pidge , MacCallum Tucker , Winterfeldt Zachary , Dave Rushit
Published: March 2024

This research aims to further understanding in the field of continuous authentication using behavioural biometrics. We are contributing a novel dataset that encompasses the gesture data of 15 users playing Minecraft with a Samsung Tablet, each for a duration of 15 minutes. Utilizing this dataset, we employed machine learning (ML) binary classifiers, being Random Forest (RF), K-Nearest Neighbors (KNN), and Support Vector Classifier (SVC), to determine the authenticity of specific user actions. Our most robust model was SVC, which achieved an average accuracy of approximately 90%, demonstrating that touch dynamics can effectively distinguish users. However, further studies are needed to make it viable option for authentication systems. You can access our dataset at the following link:https://github.com/AuthenTech2023/authentech-repo.
Performance, Energy Consumption and Costs: A Comparative Analysis of Automatic Text Classification Approaches in the Legal Domain
Authors: Rigutini Leonardo , Globo Achille , Stefanelli Marco , Zugarini Andrea , Gultekin Sinan , Ernandes Marco
Published: March 2024

The common practice in Machine Learning research is to evaluate the top-performing models based on their performance. However, this often leads to overlooking other crucial aspects that should be given careful consideration. In some cases, the performance differences between various approaches may be insignificant, whereas factors like production costs, energy consumption, and carbon footprint should be taken into account. Large Language Models (LLMs) are widely used in academia and industry to address NLP problems. In this study, we present a comprehensive quantitative comparison between traditional approaches (SVM-based) and more recent approaches such as LLM (BERT family models) and generative models (GPT2 and LLAMA2), using the LexGLUE benchmark. Our evaluation takes into account not only performance parameters (standard indices), but also alternative measures such as timing, energy consumption and costs, which collectively contribute to the carbon footprint. To ensure a complete analysis, we separately considered the prototyping phase (which involves model selection through training-validation-test iterations) and the in-production phases. These phases follow distinct implementation procedures and require different resources. The results indicate that simpler algorithms often achieve performance levels similar to those of complex models (LLM and generative models), consuming much less energy and requiring fewer resources. These findings suggest that companies should consider additional considerations when choosing machine learning (ML) solutions. The analysis also demonstrates that it is increasingly necessary for the scientific world to also begin to consider aspects of energy consumption in model evaluations, in order to be able to give real meaning to the results obtained using standard metrics (Precision, Recall, F1 and so on).
Rag-Fusion: A New Take on Retrieval Augmented Generation
Authors: Rackauckas Zackary
Published: March 2024

Infineon has identified a need for engineers, account managers, and customers to rapidly obtain product information. This problem is traditionally addressed with retrieval-augmented generation (RAG) chatbots, but in this study, I evaluated the use of the newly popularized RAG-Fusion method. RAG-Fusion combines RAG and reciprocal rank fusion (RRF) by generating multiple queries, reranking them with reciprocal scores and fusing the documents and scores. Through manually evaluating answers on accuracy, relevance, and comprehensiveness, I found that RAG-Fusion was able to provide accurate and comprehensive answers due to the generated queries contextualizing the original query from various perspectives. However, some answers strayed off topic when the generated queries' relevance to the original query is insufficient. This research marks significant progress in artificial intelligence (AI) and natural language processing (NLP) applications and demonstrates transformations in a global and multiindustry context.
Improving Dialogue Management Through Data Optimization
Authors: Medina-Ramírez Miguel Ángel , Guerra-Artal Cayetano , HernándezTejera Mario
Published: March 2024

In task-oriented dialogue systems, the ability for users to effortlessly communicate with machines and computers through natural language stands as a critical advancement. Central to these systems is the dialogue manager, a pivotal component tasked with navigating the conversation to effectively meet user goals by selecting the most appropriate response. Traditionally, the development of sophisticated dialogue management has embraced a variety of methodologies, including rule-based systems, reinforcement learning, and supervised learning, all aimed at optimizing response selection in light of user inputs. This research casts a spotlight on the pivotal role of data quality in enhancing the performance of dialogue managers. Through a detailed examination of prevalent errors within acclaimed datasets, such as Multiwoz 2.1 and SGD, we introduce an innovative synthetic dialogue generator designed to control the introduction of errors precisely. Our comprehensive analysis underscores the critical impact of dataset imperfections, especially mislabeling, on the challenges inherent in refining dialogue management processes
AI in Test Automation: Overcoming Challenges, Embracing Imperatives
Authors: Khankhoje Rohit
Published: March 2024

This scholarly article delves into the intersection of Artificial Intelligence (AI) and Test Automation, thoroughly examining the challenges inherent in implementing AI methodologies and elucidating imperatives critical for successful integration within contemporary software testing frameworks. The research entails a comprehensive exploration of challenges, ranging from intricacies in data quality to algorithmic biases, tool complexities, and integration challenges, drawing on empirical evidence from case studies and real-world scenarios. The paper articulates imperatives essential for overcoming challenges and ensuring the efficacy of AI in test automation. It emphasizes the significance of structured training programs, meticulous data management strategies, and the cultivation of an organizational culture conducive to the seamless integration of AI technologies. Through a rigorous analysis of successful case studies, the article provides a scholarly basis for the formulation of strategies and solutions to surmount challenges faced by organizations adopting AI in testing practices. A visual matrix aligning challenges with corresponding imperatives adds scholarly rigor to the article, offering a comprehensive framework for understanding the intricate relationships between challenges and the imperative strategies required for resolution. Furthermore, the exploration of emerging trends and innovations anticipates the future trajectory of AI-driven test automation, contributing valuable insights for strategic planning in the realm of software testing. This scholarly work underscores the importance of a systematic and informed approach to AI in Test Automation. By addressing challenges with academic rigor and embracing imperative strategies grounded in empirical evidence, organizations can position themselves at the forefront of AIdriven testing practices, advancing the field with a scholarly foundation for continued exploration and innovation.
Early Detection of Parkinson Disease Throughbiomedical Speech and Voice Analysis
Authors: Badhan Pawan Kumar , Kaur Manjeet
Published: March 2024

Parkinson's disease, widely recognized as a neurodegenerative condition characterized by subtle changes in voice, has spurred an investigation into voice analysis for diagnostic purposes. This study is dedicated to the early detection of Parkinson's disease through a comprehensive examination of biomedical speech attributes. Parameters such as fundamental frequency range, jitter, shimmer, noise-to-harmonics ratio, and features derived from nonlinear analysis are considered, alongside variables like status, indicating the presence of neurological disorders, and class for classification purposes. Together, these attributes provide a detailed representation of voice signals, offering valuable insights into both neurological and voice disorders for research purposes. The dataset exhibits promising potential for applications in medical diagnostics and voice analysis. In the pursuit of accurate disease detection, various machine learning methodologies are employed, including Support Vector Machines (SVM), Random Forest (RF), Decision Tree (DT), Neural Networks (NN), and state- of-the-art Convolutional Neural Networks (CNNs). The incorporation of CNNs is pivotal, signifying a significantleap in accuracy of 100%for disease detection. The results showcase a model adept at discerning subtle changesassociated with Parkinson's disease, with SVM achieving 96%, Decision Tree demonstrating a perfect 100%, Neural Network attaining 98%, and Random Forest showcasing an accuracy of 99%. This innovative approach not only transforms early Parkinson's disease identification through voice analysis, setting a precision benchmark, but also underscores the transformative potential of cutting-edge technologies in healthcare practices. The study positions the model as a reliable diagnostic tool, capable of advancing medical diagnosticsthrough the seamless integration of biomedical research and machine learning, contributing to the broader fieldof neurodegenerative disease diagnostics.
Assessment of Central Bank of Nigeria Assisted Entrepreneurship Training (2016-2019) and Self Employability of Youths and Adults in South East Nigeria
Authors: Igbo Rosemary O. , Aniemeka Emmanuel O.
Published: March 2024

The research examined the 2016-2019 Central Bank of Nigeria Assisted Entrepreneurship Training (CBN-AET) and self-employability of youths and adults in the South East geo-political zone of Nigeria. It was intended to find out whether the CBN-AET is effective for reducing unemployment of youths and adults, facilitating readiness for self-employment and facilitating access to start-up funds among youths and adults in South East Nigeria. The focus group numbered 8,063, which encompassed secondary school leavers, university undergraduates, graduates of diverse fields, business owners, civil servants and other interested persons in the study area, who have benefited from the training. Ex post facto research design was adopted to conduct the study, which covered the five States of Abia, Anambra, Ebonyi, Enugu and Imo within the South-East geo-political zone, using a random sample of 300. Validated and reliable interview schedules added to observation were used for data collection, plus available/existing records at the Central Bank of Nigeria South East Entrepreneurship Development Centre (CBN-SEEDC). Data analysis was by quantitative content analysis. The findings included remarkable number of youths and adults (beneficiaries) who secured start-up funds through business plan writing, which portrayed an advantageous feature of the training for facilitating employability in the geopolitical zone.
The effect of pre-sowing treatment of seeds with solutions of microbiological preparations on the sowing qualities of seeds and morphophysiological parameters of spring barley seedlings (Hordeum vulgare L.)
Authors:   Kostroma state agricultural Academy, Golovkova Tatiana , Bolnova Svetlana , Dobretsov Ivan , Laktionov Yuri ,   All-Russian Scientific Research Institute of Agricultural Microbiology
Published: March 2024

The paper presents the results of laboratory experience in studying the sowing qualities and morphometric parameters of seedlings of spring barley seeds of the Yaromir variety using seed treatments before sowing with microbiological preparations. The production of spring barley in modern conditions remains a priority in agricultural production. At the same time, the need for obtaining high yields with a minimum amount of chemicals increases. One of the ways to reduce the chemical load is to use seed treatments with microbiological preparations. As a result of the study, it was found that a microbiological preparation based on the strain KL-10 (Pseudomonas sp.) isolated from the barley rhizosphere had a positive effect on germination energy and laboratory germination of seeds, as well as on an increase in the mass of 100 sprouts and roots, and their length. This drug is the most promising for studying in the practice of agricultural production. Keywords: SPRING BARLEY, MICROBIOLOGICAL PREPARATIONS, GERMINATION ENERGY, LABORATORY GERMINATION, SEEDLINGS, ROOTS, SEEDS
Mass Destruction of Armenian Cultural Heritage during the Hamidian Massacres (1894-1896)
Authors:   Armenian Genocide Museum-Institute Foundation, Parsamyan Seda
Published: March 2024

The policy of destruction of the Armenian cultural heritage in the Ottoman Empire began with the conquest of Western Armenia and has continued until the present day. Over the centuries, Armenian culture, as part of the Empire’s Christian culture, has either been destroyed spontaneously, in vast swathes or undergone various manifestations of neutralisationby various Turkish regimes. The first part of this article will outline the approaches made by Genocide study theorists concerning the origin and definition of the term “cultural genocide” existing until today, including the attempts at revising or even re-naming it. The second part outlines the chronology of Armenian cultural heritage destruction. A detailed description of the policy of demolition of the Armenian cultural heritage during Hamidian massacres as a manifestation of vandalism or cultural genocide will also be presented.
Variations on a Dirge of Extermination: “Der Zor Çölünde” and the Armenian Genocide
Authors:   University of Wisconsin-Madison, Osorio James Carl
Published: March 2024

In one of his lectures at Northwestern University, Eli Wiesel (1977) stressed that “if the Greeks invented tragedy, the Romans the epistle, and the Renaissance the sonnet, our generation invented a new literature, that of testimony.” However, Wiesel suggested the generation of the Holocaust and most likely have forgotten the eyewitness survivors of the Armenian Genocide. In this article, I focus on a specific kind of testimony that emerged amongst the survivors of the Armenian Genocide: the song-testimony. Thinking about music and sound is important as the experience of genocide stretches far beyond the visual-oriented notions of such tragedy. It is in this spirit that I write this essay to investigate “Der Zor Çölünde,” a series of song-testimonies that musically charts the experience of Armenians during the Genocide of 1915–1923. I primarily argue that Armenian deportees appropriated the musical and lyrical template of “Der Zor Çölünde” by creating new verses. In doing so, Armenians illustrated and immortalized what they saw, felt, and experienced during the deportations and forced marches. Considering the multifaceted nature of “Der Zor Çölünde,” this essay reimagines the Armenian Genocide experience through the voice(s) of its protagonists. Furthermore, I emphasize the importance and implication of listening to the performances of “Der Zor Çölünde” against the official narratives of genocide denial.
Ethnic Cleansing In Artsakh (Nagorno-Karabakh): Issues of Definition and Criminal Responsibility
Authors:   Armenian Genocide Museum-Institute Foundation, Gzoyan Edita , Chakhmakhchyan Svetah ,   Armenian Genocide Museum-Institute Foundation, Meyroyan Edgar ,   Armenian Genocide Museum-Institute Foundation; Russian-Armenian University
Published: March 2024

After ten months of blockade-resulted starvation and medical emergencies, on 19 September 2023, Nagorno-Karabakh, or Artsakh Republic, was brutally attacked by Azerbaijan, resulting in a forced capitulation of the de facto state. Considering the long-lasting history of violence, institutionalized anti-Armenian hatred, persecution, and annihilation of Armenians by the Republic of Azerbaijan, an exodus of Armenians began in the following days, resulting in forced displacement of nearly 120,000 Armenians from their indigenous lands. These atrocious events were soon labeled as ethnic cleansing by some actors of the international community. Currently, there is no legal definition of ethnic cleansing; using the term to mark the forced displacement of Armenians from Artsakh raises issues of definition and responsibility. This article aims to analyze the concept of ethnic cleansing in its historical and legal development and evaluate its application in the context of the forced displacement of Armenians from Artsakh.
Persepsi Orang Tua Suku Bajo terhadap Pendidikan Anak-Anak: Suatu Kajian Inovatif
Authors: Ririk Ririk , Mokodompit Multi , Puspita Sari Yulinda
Published: March 2024

This study aims to describe and analyze the perceptions of Bajo ethnic parents towards their children’s education. The type of research used is descriptive qualitative research. The methods used in this study are observation, and interviews. The informants in this study were parents of the Bajo tribe who had school-age children. Data were analyzed using data reduction, data presentation, and drawing conclusions. The results of the study show that parents of the Bajo tribe in Saponda have a strong understanding of importance of education for their children, however they face a number of obstacles in providing a good education, including economic limitations, resources, and inadequate educational facilities and infrastructure. Besides that, this research reveals that there are high expectations of Bajo tribal parents for their children’s education. They hope that their children will get better opportunities in terms of access to education. In a limited cultural and environmental context, social and government support is also very much needed by the Bajo community in Saponda village. Support in the form of financial assistance, as well as educational programs and policies that pay attention to their needs, it is hoped that this will increase the participation of Bajo tribal parents in Saponda in their children’s education.
Azerbaijan and Turkey's Tourism Ties: The Role of Zangezur Corridor
Authors: Kaya Eda , Karakuş Yusuf , Onat Gökhan
Published: March 2024

This paper evaluates the impacts of the Zangezur Corridor between Azerbaijan and Turkey on regional tourism. The Zangezur Corridor is a connecting road linking the Nakhchivan region of Azerbaijan to Turkey and has significant potential for regional tourism. Opening the corridor could increase the attractiveness of tourism in the region by facilitating tourists' access to a wider range of destinations. In addition, the development of energy transportation and border infrastructure can contribute to the construction of a suitable infrastructure for the tourism sector. However, the region's historical history of geopolitical tensions raises security concerns. The safety of tourists and the maintenance of political stability are of paramount importance. This paper highlights the potential of tourism as a catalyst for regional cooperation and development and provides a basis for future work. Factors such as security, infrastructure development, and promotion need to be taken into account for a more effective use of the corridor for tourism.
Influencia del endorreísmo hidrológico y la aridez climática en el arsénico de las aguas subterráneas de la región lagunera, México
Authors: González-Barrios José Luis , González-Cervantes Guillermo , Valenzuela-Núñez Luis M. , Muñoz-Villalobos J. Arcadio , Valles V.
Published: March 2024

Este trabajo presenta las condiciones de especiación geoquímica del arsénico en las aguas subterráneas de la Comarca Lagunera (estados de Durango y Coahuila, en el norte-centro de México). Con la ayuda de métodos geoquímicos (Alcalinidad residual generalizada) estadísticos (Análisis en componentes principales) y de modelación hidrogeológica (Hydrog Aqua) se pone en evidencia el comportamiento y el determinismo químico del arsénico en la región hidrológica 36; cuencas de los ríos Nazas y Aguanaval, donde existen tres factores importantes que explican su presencia: la aridez del clima, la naturaleza del sustrato geológico y el endorreísmo que da lugar a las condiciones de aireación-oxigenación de las aguas subterráneas. Los resultados muestran que el arsénico es de origen natural y se comporta como una sal soluble; sus formas pentavalentes son dominantes en las partes alta y media de la región hidrológica, mientras que las formas trivalentes son importantes en la parte baja, donde se ubica la Comarca Lagunera. Se concluye con la recomendación de implementar medidas técnicas y normativas urgentes con el fin de controlar y remediar la concentración y toxicidad del arsénico en las aguas subterráneas de consumo humano, mejorando con ello las expectativas y la calidad de vida de la población.
Elâzığ’da Oynanan Temurağa (Temirağa) Oyununun Hareket Analizi
Authors: AKIŞ Selami
Published: March 2024

Türklerin uzun yıllar boyunca yaşayageldiği Anadolu coğrafyası, bünyesinde köklü bir kültürü ve eşsiz bir sanat anlayışını barındırarak geçmişten günümüze ayna tutmaktadır. Bu zengin kültürün yapı taşlarından biri olan hareket ve müziğin; tarih, coğrafya, din, kültür ve sanat gibi unsurlarla birleşerek meydana getirdiği halk oyunları/dansları da toplumun önemli folklor öğelerinden biridir. Kapsam alanı oldukça geniş olan bu oyunun çok sayıda varyantı da bulunmaktadır. Farklı müzikal varyantlara sahip olmayan bu oyunun hareket olarak oldukça farklı çeşitlerinin olduğu tespit edilmiştir. Türk tarihinin önemli bir figürü olan ve bir ayağının aksak olmasından dolayı “Aksak Timur” olarak bilinen bir hükümdarın hareketlerinden esinlenerek meydana geldiği düşünülen Temurağa oyununun kendine has bazı ortak hareketlerle (topuğun yere vurulması, sağa ve sola doğru dönülerek yürünmesi) çok fazla da değişikliğe uğramadan hemen hemen tüm yörelerde karşımıza çıktığı görülmektedir.
Bu çalışmada diğer bölgelerde oynanan oyunların yanı sıra Elâzığ’da oynanan Temurağa oyunu mercek altına alınmıştır. Türk halk oyunlarının değerinin korunması, oyunların sonraki kuşaklara sağlıklı bir şekilde aktarılmasını sağlamak oldukça önemli bir görevdir. Bu görevi üstlenmek ve halk oyunlarının öğrenimi ve öğretimini kolaylaştırmak için oluşturulmuş olan yapısal hareket analizi ile oyunlar değerlendirilmiş, hareket ve müzik analizleri yapılmıştır. Ayrıca oyunlarda genel olarak kullanılan temel hareketler, Temurağa oyununun Elâzığ ilinde oynandığı şekli ile vücut, ayak ve kol hareketleri ile birleştirilerek incelenmiştir. Bunun yanında oyunlar; yapısal analiz terimleriyle izah edilerek nasıl icra edildiği hakkında bilgiler verilmiştir. Son olarak oyun ve müzik künyeleri oluşturularak oyun müziğinin notası da eklenmiştir.
Perfection of the tax system and its impact on macroeconomic policy in Georgia
Authors: Tchiotashvili David , Chitadze Khaliana
Published: March 2024

In determining the macroeconomic policy of the state, in order to fulfill its goals and objectives, taxes and perfecting the tax system play a key role and represent one of the main instruments of the economic and financial policy of the state and can be considered as the leader of the country's macroeconomic policy. The aim of the paper is to discuss and analyze the role of the tax system and its subsequent reformation in the macroeconomic policy of the country, and in particular in the part of the fiscal policy, because through the tax and fiscal policy, the government of the country makes decisions in which direction it wants to develop the country's development strategy and define the macroeconomic policy. In terms of the sustainable development of Georgia and the implementation of the country's macroeconomic policy, the concept of economic development and the implementation of correct tax reforms in this regard, in the direction of perfecting the tax system, are important in the short and long term. Based on this, issues related to reforming and perfecting the tax system are one of the most important challenges of the country's economic policy and macroeconomic policy.