bluuebunny/crossref_metadata_2025_split huggingface dataset:
Дослідження впливу обрізання та тонкого налаштування моделі автоматичного розпізнавання мовлення на її точність
Authors: Ухачевич Т. Я. , Кустра Н. О. 
Published: July 2024

Досліджено вплив методів обрізання моделі та тонкого її налаштування на точність автоматичного розпізнавання мовлення ASR (англ. Automatic Speech Recognition) для мови з низьким ресурсом. Використану модель "wav2vec2-xls-r-300 m-uk", попередньо навчено на великому багатомовному наборі даних і тонко налаштовано на українському наборі даних із Common Voice. Метод обрізання за L1-нормою було застосовано на різних рівнях (10, 20, 30, 40, 50 %%) без подальшого налаштування, що виявило значне зниження точності (метрика WER (англ. Word Error Rate) збільшилася з 18,53 до 35,96 %%, метрика CER (англ. Character Error Rate) – з 3,5 до 7,97 %%). Встановлено, що зі збільшенням ступеня обрізання точність моделей поступово знижується, однак подальше тонке налаштування значно покращує продуктивність (метрика WER знизилася до 22,81 %, метрика CER – до 4,55 %). Оцінено вплив кількості епох тонкого налаштування на точність моделі, що показало поступове покращення продуктивності зі збільшенням епох (найкращі результати за 20 епох: метрики WER 22,81 %, CER 4,55 %). З'ясовано, що тонке налаштування здатне частково відновити втрату точності, спричинену обрізанням. Наукова новизна дослідження полягає в комплексному аналізі методів обрізання та тонкого налаштування для низькоресурсних мов на прикладі української мови. Виявлено, що комбіноване використання методів обрізання, перенесення навчання та тонкого налаштування є перспективним для підвищення продуктивності та точності ASR моделей. З'ясовано, що методи обрізання дають можливість зменшити розмір моделі та підвищити її ефективність, що є критичним для пристроїв з обмеженими ресурсами. Охарактеризовано закономірності між ступенем обрізання та ефективністю моделі, що вказують на можливість досягнення балансу між продуктивністю та точністю. З'ясовано, що ефективність моделей для мов з низьким ресурсом значно залежить від кількості та якості навчальних даних, а також від методів їх оброблення. Перспективи подальших досліджень містять аналіз різних методів обрізання, розроблення нових підходів до тонкого налаштування та перенесення навчання з використанням додаткових лінгвістичних ознак. Це сприятиме створенню більш ефективних систем розпізнавання мовлення для мов із низьким ресурсом, що дасть змогу подолати технологічний розрив і покращити доступність мовних технологій у глобальному масштабі.
Інтеграція даних про колізії для пришвидшення оптимізації траєкторії руху роботизованої руки
Authors: Медвідь А. Я. , Яковина В. С. 
Published: July 2024

Представлено новий підхід до покращення оптимізації траєкторії руху роботизованої руки шляхом інтеграції даних про колізії, отримані під час планування шляху переміщення роборуки. Планування шляху переміщення роборуки роботизованих систем є однією з ключових задач в сучасній робототехніці, особливо для роботизованої руки, яку використовують в промисловості для виконання складних маніпуляцій. У багатьох дослідженнях розглянуто розроблення алгоритмів для планування траєкторій руху, які забезпечують уникнення колізій та мінімізацію витрат часу і ресурсів на виконання обчислень. Незважаючи на чисельні вдосконалення у методах планування та оптимізації траєкторій руху руки, існує потреба у додаткових підходах, які можуть покращити ефективність цих процесів. Основна мета дослідження полягала у розробленні методу, що дає змогу пришвидшити оптимізацію траєкторії руху роботизованої руки шляхом інтеграції даних про колізії. Визначено основні завдання дослідження: розробити алгоритм, що використовує попередньо відомі дані про колізії для пришвидшення перевірок на колізії прямих відрізків; провести експериментальні дослідження ефективності запропонованого методу; оцінити вплив запропонованого підходу на загальну швидкість і якість оптимізації траєкторії. Під час проведення тестувань контролювали такі параметри, як кількість викликів функції перевірки на колізії, довжина оптимізованої траєкторії та тривалість виконання алгоритму. Вхідним параметром тестувань був поріг перевірки на колізії щодо відстані до заданого відрізка. Під час проведення експериментальних досліджень отримано результати, що підтверджують ефективність підходу. Внаслідок використання порогу відстані на рівні п'ять кроків дискретизації (0,175 рад.) загальна кількість перевірок на колізії знизилася від 82663 до 62056 шт., тобто на 24,93 %, при цьому загальна тривалість виконання скоротилась з 16,2 до 10,97 с, тобто на 32,29 %. У разі використання порогу відстані на рівні десяти кроків дискретизації (0,35 рад.) кількість перевірок знизилася до 53139 шт., тобто на 35,72 %, а тривалість виконання скоротилась до 9,1 с, тобто на 43,83 %. Запропонований підхід можна інтегрувати з іншими методами планування та оптимізації траєкторій руху роботизованої руки, що підвищує його універсальність і застосовність у різних робототехнічних системах. Результати дослідження підтверджують перспективність використання цього підходу для оптимізації траєкторій руху роботизованих систем, що може бути корисним для подальшого розвитку технологій автоматизації в промисловості.
Examining Educator Satisfaction and Well-Being: A Rigorous Analysis of Higher Education Instructors in Gulf Cooperation Council Countries
Authors: Assali Mouna Abou 
Published: July 2024

Background: A distinct correlation exists between the happiness of teachers and the academic accomplishments of students. Similarly, the happiness interventions for teachers in an educational institution have been shown to increase productivity by 10%–12%. However, there is currently a dearth of a comprehensive review specifically centered on teacher happiness of higher education in the Gulf Cooperation Council (GCC). Objective: This systematic review aims to comprehensively analyze and integrate existing research on the levels and determinants of teacher happiness, job satisfaction, and well-being in higher education settings in the GCC. Methods: A comprehensive search from 2013 to 2023 was conducted for quantative empirical studies in English language across four databases using the PRISMA guidelines. The Quality Assessment Tool for Studies with Diverse Designs (QATSDD) was utilized to evaluate the quality of the included studies. Results: A total of seven studies (n = 1508) were chosen for the ultimate analysis, representing a range of higher education institutions in GCC countries. According to the QATSDD tool, six studies were classified as having medium quality, while one study was classified as having high quality. The research analysis identified several recurring themes, encompassing the determinants of teacher happiness, the findings specifically related to English language teachers, higher teacher satisfaction in private universities, and the association between teacher well-being and gender. Conclusion: Given the heterogeneity of the included studies, it is impossible to draw a strong and reliable conclusion. Nevertheless, the most prevalent component in improving teacher satisfaction was found to be the compensation and support provided by supervisors and colleagues. It is important to note that the included studies were from specific countries, primarily Saudi Arabia and the United Arab Emirates. Therefore, the conclusions cannot be generalized to all countries in the GCC.

Received: 17 January 2024 / Accepted: 30 June 2024 / Published: 5 July 2024
Enhancing Competitive Advantage in Kosovo's Hospitality Sector: The Impact of Marketing Mix Strategies
Authors: Thaqi Agim , Vizdik Thaqi Nora 
Published: July 2024

This paper examines the crucial role of the marketing mix in enhancing competitiveness within the tourism and hospitality industries in Kosovo. As global markets become increasingly dynamic and competitive, understanding the strategic implementation of the marketing mix is vital for securing market position and ensuring long-term business sustainability. This study explores the traditional 4 Ps (Product, Price, Place, Promotion) and the service-specific 3 Ps (People, Process, Physical Evidence) to demonstrate how they collectively contribute to customer satisfaction and competitive advantage. The research method combines theoretical analysis with empirical data, including a survey of foreign tourists in Kosovo, to assess the impact of the marketing mix on customer satisfaction. Findings indicate a strong correlation between the integrated application of the 7 Ps and increased customer satisfaction, underscoring the effectiveness of a well-coordinated marketing mix. This investigation not only enhances understanding of the marketing mix's influence on business success but also offers valuable insights for practitioners aiming to improve their competitive stance through customer-focused strategies. The study advocates for the strategic harmonization of marketing mix elements as fundamental to achieving customer satisfaction and fostering business growth, particularly in the competitive context of Kosovo's tourism and hospitality sector.

Received: 20 March 2024 / Accepted: 13 June 2024 / Published: 5 July 2024
Human Resources Management for Job Satisfaction in Peruvian Employees
Authors: Romero-Carazas Rafael , Ayras-Peralta Juan Pablo , Bernedo-Moreira David Hugo , Gómez-Cáceres Felipe Yony , Taco-Coayla Renzo Alberto , Mamani-Laura Marilí Ruth , Ramirez-Charca Edith Diana , Gutiérrez-Monzón Sonia Gladys 
Published: July 2024

The research works related to job satisfaction are mostly quantitative and relational, where they converge in indexes in order to associate human resources with job satisfaction, however, there are few studies that deal with the subjective and intrinsic aspect of job satisfaction, that which deals with the analysis of experiences and experiences, with their possible interpretations, in order to build development alternatives, Consequently, through the present study, we sought to explore the social phenomenon of human resources management that promote job satisfaction in the collaborators of Peruvian companies. To this end, through a qualitative approach of phenomenological-hermeneutic design, 9 human resources managers from the industrial, commercial and service sectors were interviewed. The findings of this study highlight the importance of positive environment, professional growth and recognition in the commercial sector, balance and open communication in the industrial sector, and organizational culture and autonomy in the service sector, in addition; at a general level, common barriers to work-life balance are identified, highlighting the need for flexible policies and a proactive approach to well-being. As a consequence, the adequacy of development programs and recognition policies is recommended. At the research level, studies are recommended to evaluate the effectiveness of training and development programs in Peruvian companies, exploring labor policies and their contribution to the proper balance between work and personal responsibilities, with the aim of achieving a work-life balance, promoting the improvement of human resource management in organizations.

Received: 1 April 2024 / Accepted: 29 June 2024 / Published: 5 July 2024
The Strategy to Sustainable Tourism Development of a Country
Authors: Bajraktari Nerimane , Deda Eriona 
Published: July 2024

The paper intends to provide an analysis of the tourism sector in Albania, focused on achieving travel goals of the tourist arrivals, by quarters from 2021 to 2022.Furthermore, this paper reflect through comparative analysis the tourist arrivals of resident and non-resident in Albania by quarters from 2021 to 2022. The data on our paper are provided by (INSTAT) Institute of Statistics, Albania which includes tourism statistics. Specifically, on our paper we’ve used comparative descriptive statistics using data analysis expressed in (%) percentage. We’ve reflected how the foreign tourist inflows have changed in Albania based on their travel goals, as well as based on whether they are resident or non-resident in Albania, according to the quarters comparing the differences between 2021 and 2022 (Sejdiu, Rexha , & Deda, 2023). In addition, through comparative statistical analysis we aim to determine the tourism trend by quarters for both years in the focus of our study (Deda, Brajshori, & Krasniqi, 2020). This paper is based on some important government approach to tourism policy development (OECD, 2017).

Received: 6 March 2024 / Accepted: 29 June 2024 / Published: 5 July 2024
University Students’ Intentions to Develop Competences and its Influencing Factors: A Nigerian Context
Authors: Nwigwe Onyinye Esther , Shaoan Md Mirajur Rhaman , Igweani Chimaobi Charles , Ouattara Cheick Amadou Tidiane , Okagbue Ekene Francis 
Published: July 2024

Based on an extensive review of literature pertaining to student competencies, this study addresses a critical gap by examining the determinants influencing university students' intentions to enhance their competencies. Specifically, utilizing structural equation modeling with AMOS, the research investigates the roles of attitudes, autonomy support, and perceived behavioral control among 381 postgraduates enrolled in the education department across three public universities in Nigeria. The findings underscore that positive attitudes towards extracurricular activities and the level of autonomy support received significantly bolster students' intentions to develop competencies. However, the impact of perceived behavioral control on the intention to develop competences was negative but significant. This investigation thus provides nuanced insights into the psychological dynamics that shape competence development intentions within the academic sphere, particularly among university students.

Received: 15 May 2024 / Accepted: 2 July 2024 / Published: 5 July 2024
Underachieving, At-Risk, and Distressed Students Within the Ultra-Orthodox Education System: A Comprehensive Review
Authors: Mor Flora 
Published: July 2024

This review aims to offer an integrative perspective on findings regarding the ways in which the ultra-Orthodox education system addresses challenges posed by underachieving students, as they often face distress and risk of dropping out. Findings of both male and female students within the ultra-Orthodox society are presented. The review delves into the evolving ultra-Orthodox society, highlighting changes and developments. First, characteristics of underachieving and at-risk youth in ultra-Orthodox society are described. Following this, an exploration of family relationships involving underachieving and at-risk students is presented. Finally, ultra-Orthodox institutions’ attitude towards underachieving and at-risk students is examined. Consequences are discussed.

Received: 9 March 2024 / Accepted: 29 June 2024 / Published: xx July 2024
Towards Learner-Centered Teaching: The Case of Mathematics Teachers
Authors: Ouailal Aicha , Mouline Jamal 
Published: July 2024

Following the results of the TIMSS survey qualifying the school crisis, the Moroccan education system in its reform has launched the "Learner-Centered Teaching" (LCT) model which is part of a plan which aims to linking the classroom space to the two school spaces on the one hand and the socio-economic environment on the other hand, and this, through a new teaching practice that exploits the pedagogical and didactic elements of the competency-based approach, of interdisciplinarity, project-based pedagogy and institutional communication. This article presents the training adopted for the benefit of teachers within the framework of the LCT according to four professional situations whose competence aimed at the end of the training is to manage, in terms of learning, mathematical concepts by taking into account the mathematics education resources and tools.

Received: 18 March 2024 / Accepted: 26 May 2024 / Published: 5 July 2024
Exploring the Influence of Artificial Intelligence on Higher Education: Case study in University of Brighton
Authors: Jani Greta , Celaj Doliana 
Published: July 2024

One of the most discussed and investigated topics in the educational field nowadays is the use of artificial intelligence (AI). This article aims to shed light on the use and effects of artificial intelligence (AI) on higher education. It also explores various studies to analyze the impact of AI tools keeping in view the University of Brighton. The effects of AI on grading and assessment along with learning and teaching processes in examined in this study. Using the qualitative approach of research based on a case study analysis, this paper investigates the use of AI in various aspects of education. It also presents an extensive literature review to support the evidence. The results and findings of this paper highlight that artificial intelligence should be used more extensively in higher education so that it may prove to be helpful in developing new skills for students.

Received: 22 May 2024 / Accepted: 24 June 2024 / Published: 5 July 2024
Early Entrepreneurial Activity in South American Countries: A Study from its Economic Dynamics
Authors: Fernández Gabith Miriam Quispe , Giner-Pérez José Miguel , Rodriguez Edgar Anibal , Nina Victor Dante Ayaviri 
Published: July 2024

The early entrepreneurial activity (TEA) gathers the characteristics of the entrepreneurial dynamics of each country. This study addresses the situation of the countries of South America in order to identify the relationship between economic activity and macroeconomic stability with the TEA and the established enterprises. For this, data from the Global Entrepreneurship Monitor is used, the period includes 2008 to 2017 due to their availability, and a particular exercise for the Bolivian case. The autoregressive model with distributed delays (ARDL) is used for analysis, with the goal of establishing the short and long-term effects between study variables. The results establish an important relationship between economic activity and macroeconomic stability with early entrepreneurial activity. Showing that in the long-term GDP per capita, inflation and vulnerable employment are positively related to the TEA, however, in the short-term GDP per capita is the only significant variable with the TEA.

Received: 2 May 2024 / Accepted: 21 June 2024 / Published: 5 July 2024
Legitimate Defense in Abused Women who Killed the Abuser: A Case Study Post-Guiding Opinion in China
Authors: JingYu Liu , Md Said Muhamad Helmi , Ab Rahman Nurul Hidayat , A. Kadir Nadhilah , Yao Yao Li 
Published: July 2024

In 2020, the Supreme People's Court, the Supreme People's Procuratorate, and the Ministry of Public Security jointly issued Guiding Opinion on the Lawful Application of the Legitimate Defence System (the Guiding Opinion). This article examines the implementation of the Guiding Opinion in respect of abused women who killed their abusers in China. Effectiveness of the implementation of the Guiding Opinion was reviewed through analysis of cases before and after its issuance. This Opinion has given people a deeper understanding of the determination of legitimate defence by elaborating on the issues related to the determination of legitimate defence, but in practice, the opinion has played a limited role in cases of abused women killing abusers, and the status quo of the difficulty of determining legitimate defence has not changed. This is partly attributable to persistent public misunderstandings about legitimate defence and inability of the judiciary to give due consideration to the defendant’s position and her surroundings circumstances. This study recommends specialized training for legal professionals to change their misconceptions about abused women.

Received: 7 March 2024 / Accepted: 13 May 2024 / Published: 5 July 2024
The Integration of the Cross-Cutting Themes of the Educational Model of a Private University with the Sustainable Development Goals
Authors: Marques Alcibíades Sime , Ramos Farroñán Emma Verónica , Espinoza Julio Roberto Izquierdo , Llatas Flor Delicia Heredia , Farroñán Williams Coronado , Nájera Celín Pérez , Armenteros Adelfa Dignora Alarcón 
Published: July 2024

In 2015, the United Nations Organization (UN) certified the 2030 Agenda for Sustainable Development, which comprises 17 goals. In Latin America, universities play a crucial role in ensuring access to education, providing fundamental human rights, and collaborating to achieve sustainable development goals (SDGs). However, achieving inclusive, equitable, and high-level education in the region is a challenge for governments and states. In this context, sustainable development is being promoted in Peru through higher education institutions. The general objective of this study is to carry out a comprehensive analysis of the integration of the SDGs into the cross-cutting axes of the educational model of a private university located in the northern region of Peru. A qualitative research approach was used, which included interview techniques, observation, and document analysis. The results revealed the need to incorporate the SDGs into the curriculum proposal and the study plan, thus helping professionals develop a vision oriented toward sustainable development and prepare them to face current and future challenges. The inclusion of the SDGs in the educational model will allow the university to fulfill its role in promoting sustainable development in Peru, forming students committed to equity, social justice, and the care of the natural environment. In addition, this integration will promote the social function of the university and its participation in solving problems at both the local and global levels.

Received: 17 January 2024 / Accepted: 23 May 2024 / Published: 5 July 2024
The Role of Digital Learning Innovations in Achieving Good Digital Education for Teachers in Saudi Arabia
Authors: Alshehri Omar Abdullah Omar , Aldaleel Ahmad Mohammad , Zayid Elrasheed Ismail Mohommoud 
Published: July 2024

The study aimed to determine the effectiveness of digital learning innovations (DLIs) in achieving good digital education among intermediate school teachers (ISTs) in the Al-Namas Governorate. The study included 400 teachers from all disciplines of public education, consisting of 218 female and 182 male teachers. The professional ranks of participants comprised 286 practicing teachers, 66 teachers, and 48 with other ranks. The study identified that 255 participants did not receive training on DLIs. Statistically significant differences between the genders were found at the significance level (??0.05), in favor of female teachers in problem-solving and data analysis. A one-way ANOVA test and Cronbach's alpha were used to measure the statistically significant differences between different variables. The average Cronbach alpha coefficient was 0.986, which is a high value indicating that the questionnaire has a high degree of stability. The study results demonstrated that the transactions of artificial intelligence, innovative educational activities that meet the needs of people with special needs, and cybercrime require intensive and in-depth training so that teachers can optimally use digital innovation applications in the educational environment.

Received: 27 March 2024 / Accepted: 30 May 2024 / Published: 5 July 2024