bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study on Strategies for Ensuring Stability and Sustainability in Higher Education Finance
Authors:   The Korean Society For The Economics And Finance Of Education, Nam Sookyong , Lee Heesook , Kim Hoonho , Lee Ho-jun , Won Serim
Published: October 2024

The purpose of this article is to propose stable funding solutions for higher education based on the Special Account for Higher and Lifelong Education Support. It evaluates the current scale of higher education funding and identifies issues and improvement strategies related to this Special Account. Additionally, it offers recommendations for legal and institutional reforms to enhance higher education funding and outlines strategies for ensuring long-term financial stability in the sector.
The study's findings are as follows. First, the current Special Account for Higher and Lifelong Education Support faces challenges regarding the stability, validity, and sustainability of its funding. Furthermore, the legal framework for securing these funds is insufficient. Second, potential funding solutions based on the Special Account include introducing a higher education tax and securing a portion of funds managed by the government. Third, long-term strategies for ensuring stable higher education funding involve establishing central government grants, creating new funds, and developing investment funds. Additionally, expanding local government investments and leveraging corporate taxes to either introduce a higher education tax or provide tax incentives could further encourage investment.
İKLİM İLETİŞİMİ FAALİYETLERİ: EKOSİNEMA ALANINDAKİ BİLİMSEL ÜRETİMİ ÇERÇEVELEMEK
Authors: Dinvar Pekşen Gülseren
Published: October 2024

Bu çalışma, “ecocinema” anahtar kelimesi doğrultusunda Scopus veri tabanında bulgulanan 2010-2024 yılları arasında yayımlanmış bilimsel çalışmaların bibliyometrik analizini ortaya koymayı amaçlamaktadır. Araştırmanın amacını gerçekleştirmek için analiz birimi olarak 2010-2024 yılları arasında yayımlanmış 522 çalışma verisine ulaşılmıştır. Scopus veri tabanında yer alan çalışmaların bibliyometrik verileri görsel haritalara dönüştürülmüş ve program destekli haritalar analiz edilerek yorumlanmıştır. Araştırmada; “ecocinema” anahtar kelimesi etrafında 230 makaleye, 154 kitap bölümüne, 70 kitaba, 40 derlemeye 19 editoryal yayına, 5 konferans bildirisine, 4 not verisine ulaşılmıştır. Veri setlerine göre “ecocinema” konusuna ilişkin; 506 yayın İngilizce, 7 yayın İspanyolca, 4 yayın Portekizce, 2 yayın Fransızca ve Çince, Lehçe, Boşnakça, Litvanyaca dillerinde 1’er yayın üretilmiştir. Ekosinema alanına ilişkin çalışmaların 46 farklı ülkeden araştırmacı/yazarlar tarafından üretildiği kayıt altına alınmıştır. Ülkeler arasında; ABD 163, Birleşik Krallık 72 yayınla lider konumdayken, Avustralya 43, Kanada 23, İspanya 20 yayınla diğer ülkelerden daha fazla üretim faaliyetleriyle dikkat çeken ülkeler arasında listelenmiştir. Atıf- yazar oran grafiğinde atıf sayısı bakımından; Willoquet- Paula Maricondi, Pat Brereton, Sean Cubitt, Pietari Kääpä alanda öne çıkan araştırmacılar arasında bulgulanmıştır. Screen, Palgrave Studies in Media And Environmental Communication, ISLE, Nature dergileri ise; yayıncılık faaliyetleriyle en öne çıkmaktadır. En sık kullanılan anahtar kelimelerde ise; “ecocriticism”, “environment”, “anthropocene”, “nature” kelimeleri tespit edilmiştir. Araştırma kapsamında elde edilen tüm veri setleri, sonuçlar, literatürdeki diğer çalışmalardan elde edilen bulgular eşliğinde yorumlanarak paylaşılmıştır. Çalışma iklim krizi derinleşirken, iklim iletişimi adına faaliyetler yürüten ekosinema deneyiminin hangi dikkatler üzerinden, ne yönde tartışılmakta olduğun tespit edilmesi ve kültürel alandaki boşlukların, ihmal edilen konu başlıklarının deşifre edilmesi bakımından geniş bir potansiyele sahiptir.
Development of an Optimization Software for Bioremediation of Hydrocarbon-Contaminated Soils mechanisms
Authors:   Higher School of Biological Sciences of Oran, Oran, Algeria, BENBERNOU Meriem , TBAHRITI Hadja Fatima ,   Laboratory of Clinical Nutrition and Metabolism, Department of Biology, Faculty of Natural and Life Sciences, University Oran 1, Oran, Algeria & Aix-Marseille University, INSERM, TAGC, UMR I 090, Equipe Labélisée Ligue Contre le Cancer, Marseille, France, Mohamed Belhocine ,   Aix-Marseille University, INSERM, TAGC, UMR I 090, Equipe Labélisée Ligue Contre le Cancer, Marseille, France & Department of Molecular Medicine, Al-Jawhara Centre for Molecular Medicine, Genetics, and Inherited Disorders, Arabian Gulf University, Manama,
Published: October 2024

A sophisticated software solution designed to enhance bioremediation processes in hydrocarbon-contaminated environments. This Advanced Bioremediation Optimization Software combines complex algorithms, real-time sensor data integration, and a user-friendly interface to deliver customized solutions for environmental restoration projects. The software utilizes predictive modeling to forecast remediation outcomes, optimizes treatment strategies based on ongoing data analysis, evaluates microbial communities through metagenomic sequencing data, and generates evidence-based recommendations to improve bioremediation efficiency. This tool represents a significant advancement in environmental restoration technology, offering practitioners a means to enhance the efficacy and cost-effectiveness of bioremediation projects. It also provides detailed economic projections to support informed decision-making by stakeholders, making it a valuable asset in the field of environmental remediation.
Knowledge and Attitude About HIV/AIDS Among Easy Bike Drivers at Selected Areas of Khulna City in Bangladesh
Authors:   Nursing Instructor, Nursing and Midwifery College, Khulna., Golder Tithi , Mittra China Rani ,   Nursing Instructor, Khulna Nursing College, Khulna., Chowdhury Dr. ABM Alauddin Hasan ,   Professor, Department of Public Health at Daffodil International University, Dhaka
Published: October 2024

Background: HIV/AIDS continues to be a major public health issue worldwide, particularly in developing countries where resources for prevention and treatment are often limited. In Bangladesh, the prevalence of HIV/AIDS is relatively low compared to global averages, but the potential for spread remains a significant concern. Objective: This study aims to assess the knowledge and attitudes about HIV/AIDS among easy bike drivers in selected areas of Khulna City. Methodology: A Cross Sectional Study was conducted among the easy bike drivers at Khulna City Corporation in Bangladesh from May 2023 to August 2023. Total 150 easy bike drivers were selected by using purposive sampling method and face to face interview conducted with a semi structured questionnaire. Results: Out of 150 respondents, 43.35% respondents are 25-34 years of age and 25.3% illiterate. 34.67% respondents told HIV can be preventing by using condom and 53.3% respondents had physical relation without their wife and no one ever tested AIDS. Conclusion: These findings highlight the urgent need for targeted educational initiatives to improve knowledge and reduce stigma among this group.
The Effectiveness of Regional Tax and Levies Acceptances and Its Contribution to the Original Regional Revenue of DKI Jakarta Province
Authors:   Faculty of Economics and Business, Universtias Pancasila, Indonesia, Ardianto Yuli , Andamari Basis G. ,   Faculty of Economics and Business, Universtias Pancasila, Indonesia, . Nelyumna ,   Faculty of Economics and Business, Universtias Pancasila, Indonesia, Widya Najwa Putri ,   Faculty of Economics and Business, Universtias Pancasila, Indonesia
Published: October 2024

This study examines the efficiency of regional taxes and retribution in improving DKI Jakarta Province's Original Regional Revenue (PAD). This study focuses at the acceptability of regional taxes and municipal levies from fiscal year 2020 to 2023, with an emphasis on the consistent rise of both tax revenue collections. It is clear that the DKI Jakarta Regional Government is maximizing the potential of local taxes and regional levies through policies and regulations, resulting in a large rise in local tax income. This study underlines that the annual rise in local tax revenues and regional retribution should not be the primary indicator of success in realizing its full potential. The impact of regional taxes and local levies is used to assess how well achievement objectives will be accomplished, with a larger percentage signifying better effectiveness. This study discovered that regional taxes are highly effective in meeting local governments' revenue projections, with an efficacy rate ranging from 88.27% to 101.2%. However, the efficacy of municipal levies remains low, ranging from 46.72% to 105.96%. Local taxes contribute greatly to regional original revenue, which has been categorized as exceptional. However, this is not accompanied by local levies, which make up very little of regional original income. To enhance local revenues, it is preferable to focus on expanding the coverage of local tax items rather than establishing unduly ambitious goals, since maximizing the potential of local taxes is critical for increasing the DKI Jakarta Province's original revenue.
The CAT’s Tail: Unraveling Five Signatures in the CMB Spectrum
Authors:   R&D Department, Power Opticks Tecnologia, Av Luiz Boiteux Piazza, Florianópolis, 88056-000, SC, Brazil, Ulianov Policarpo Yoshin
Published: October 2024

This article elucidates the Cosmic Antiproton Tomography (CAT) model’s unique perspective on the Cosmic Microwave Background (CMB), highlighting specific signatures that reveal more about the early universe’s structure than previously understood. The fundamental CAT, derived from the antiproton annihilations, aligns closely with the CMB’s observed spectrum. However, its true significance lies in the additional granularity provided by CAT harmonics, offering deeper insights into the universe’s early dynamics and structure.
Promoting Rural/Regional Sustainability Through The Provision of A Quality Higher Education Experience
Authors: Ellis Bronwyn , Watkinson Julie , Sawyer Janet
Published: October 2024

The final stage of a longitudinal research project that focused on identifying the impact of a new university presence in a South Australian regional city is presented in this paper, which continues the account given at the 2009 SPERA Conference. The early stages comprised focus groups of stakeholders, staff involved, and students, and surveys of the pioneering student cohort (2005 enrolments) during their first and third years of study. The project's action research nature gave the opportunity to implement improvements in course delivery and administrative matters as needs were revealed. Late in 2009, a survey of graduates explored their overall perceptions of their university studies, as well as identifying their employment outcomes and aspirations, their motivation for pursuing further study, and their perceptions of the influence exerted by this university regional centre. Their ideas about further opportunities for university engagement with the region were sought, along with any research needs of which they were aware and their interest in being involved in future research projects. The story of three participants is considered in further detail, providing insight into the experience and views of these graduates. As well as confirming and amplifying many of the findings of earlier stages of the project, which included high levels of overall student satisfaction, the final survey, along with other data from stakeholder consultations, and significant anecdotal material, demonstrates the role that this regional university centre is playing in contributing to the employment needs of its region and the retention of its current and potential professionals, and provides lessons for other university outreach. Its presence, made possible by the collaborative efforts of university and community, has helped residents of the region to see higher education as a normal option for them, rather than something that previously seemed out of their reach.
Digital Revolution or Digital Divide
Authors: Broadley Tania
Published: October 2024

In order to sustain the rural education community, access to high quality professional development opportunities must become a priority. Teachers in rural areas face many challenges in order to access professional learning equitable to their city counterparts. In the current climate, the Federal government of Australia is committed to initiatives that support the use of ICT in education. These include initiatives such as the Digital Education Revolution, including the National Broadband Network. This “revolution” includes the committal of $2.2 billion funding over six years from 2008 – 2013 which purports to bring substantial and meaningful change to teaching and learning in Australian schools. Of this funding, the Prime Minister (former Minister for Education), Julia Gillard, has committed $40 million of the total budget to ICT related professional development for teachers. But how will rural teachers ensure they get a piece of the PD pie? Access to professional learning is critical and isolation from colleagues, professional associations and support structures can affect the retention of teachers and in turn affect the sustainability of rural communities. This research paper describes the findings of the first phase of a study that investigates access to professional learning from rural and remote areas of Western Australia, the efficiencies of this approach including teacher perceptions and possible opportunities for improvement through the application of technologies. A survey instrument was administered and the results from104 principals and teachers within the Remote Teaching Service and the Country Teaching Program of the Department of Education and Training (WA) are discussed. Qualitative data was collected by semi-structured interviews and emailed questionnaires. Phase One findings highlight the principals and teachers‟ perceptions of their access to professional development opportunities, professional learning communities and their use of information and communication technologies (ICT) to bridge the gap.
Algorithmic improvement of the high-speed digital spectral-correlative radiolocation method
Authors:   Satbayev University, Abdykadyrov A. A. , Smailov N. K. ,   Satbayev University, Dosbayev Zh. M. ,   Satbayev University, Tashtai E. ,   Satbayev University, Zhunisov K. H. ,   Satbayev University
Published: October 2024

The algorithmic improvement of the high-speed digital spectral-correlative radiolocation method represents an innovative project that influences the development of new technologies. This work aims to enhance the precision and reliability of receiver systems through accurate signal direction, presenting new methodologies for addressing issues in the radiolocation field by analyzing spectral components of signals and their correlational relationships. Applying these algorithmic enhancements allows for significant improvements in the speed and accuracy of radiolocation processes. This benefits the efficiency of both military and civil communication systems, paving the way for future developments in radioelectronics and contributing to technological innovations.
Structural – parametric synthesis of a parallel manipulator with two grips
Authors:   Al-Farabi Kazakh National University, Zhumasheva Zh. T. , Sagitzhanov B. M. ,   Al-Farabi Kazakh National University, Tolenov S. A. ,   Al-Farabi Kazakh National University, Zholdasov E. N. ,   Al-Farabi Kazakh National University, Toleushova A. M. ,   Al-Farabi Kazakh National University, Dosmagambet N. K. ,   Al-Farabi Kazakh National University, Rahmatulla Z. A. ,   Al-Farabi Kazakh National University
Published: October 2024

This paper describes the methods of structural-parametric synthesis of a parallel manipulator PM with two grippers, which can be used for reloading operations between two adjacent main technological equipment in a cold stamping technological line. This PM is formed by connecting two grippers end – effectors with a base using two passive and one negative closing kinematic chains (CKC).
The main ways to improve the effectiveness of electronic document management protection
Authors:   Almaty Technological University, B. Kazangapova  , A. Shaikhulova  ,   Almaty Technological University, A. Moldakalykova  ,   Almaty Technological University, A. Iskakova  ,   Almaty Technological University
Published: October 2024

Information resources and information systems are among the main protected elements in all spheres of life of modern enterprises [11-15]. Today, the means of negative information impact on these elements are actively developing, the counteraction of which requires extensive diverse research and development of relevant concepts, programs for organizing specific work in the field of creating tools, methods and techniques for ensuring information security. Illegal distribution of digital documents by authorized but unscrupulous users is a growing threat to the confidentiality of organizations, which a document management system using only encryption methods cannot fully cope with. This problem occurs together with access to a digital document by unauthorized users. In this article, as a countermeasure to protect digital documents from these two threats, a new approach is proposed that carefully combines encryption and fingerprinting methods at certain stages of the digital document lifecycle. Within this scenario, a full analysis was carried out, in which the main constituent elements, their interaction, data flow and the provision of security services were identified. This protection system guarantees a sufficient level of security, since it uses standard cryptographic algorithms and recommended key sizes. The purpose of this approach is to provide information security services such as confidentiality, integrity, authentication, non-repudiation and user tracking, thereby protecting digital documents throughout their entire life cycle.
Application of logistic regression to detect an attack on financial monitoring
Authors:   Al-Farabi Kazakh National University, Tynymbayev A. , Baisholanova K. ,   Al-Farabi Kazakh National University, Khikmetov А. ,   International IT University, Mambetov S. ,   Almaty Technological University
Published: October 2024

This paper discusses the application of logistic regression to detect attacks on financial monitoring. Financial organizations are facing increasing security threats, which requires effective methods to detect fraudulent activities. Logistic regression, with its binary classification capability and interpretability of results, is a powerful tool for transaction analysis. The paper also emphasizes the features of this method, including its applicability to large amounts of data and opportunities for model development. Thus, the use of logistic regression is a promising solution for securing financial transactions and identifying potential threats.
Review of approximation formulas for fractional derivatives of variable order
Authors:   S.Amanzholov East Kazakhstan University, Alimbekova N. B. , Bakishev A. K. ,   S.Amanzholov East Kazakhstan University
Published: October 2024

Fractional differential equations of variable order, depending on a time or space variable, are successfully used to study time and/or spatial dynamics. The purpose of this review is to consider the latest research and results related to the basic definitions and approximation formulas for fractional derivatives of variable order. The review begins with an examination of existing definitions based on various physical and practical knowledge. The following are formulas for discretizing fractional derivatives, since they play a key role in numerical modeling, providing an effective means of describing complex systems with long-term memory, heterogeneous parameters and non-local interactions. Their use not only improves the accuracy of models, but also facilitates the numerical solution of differential equations, which is essential for analyzing and predicting the behavior of real processes in various fields of science and engineering. This review is intended to help readers select appropriate definitions and discretization formulas to effectively solve specific physical and engineering problems.
Mathematical principles of mechanical movements
Authors:   Kazakh National Women’s Pedagogical Universit, T. Koshtybayev  , A. Akzholova  ,   Abai Kazakh National Pedagogical University, A. Tatenov  ,   Kazakh National Women’s Pedagogical Universit, M. Aliyeva  ,   Kazakh National Women’s Pedagogical Universit
Published: October 2024

The article proves that kinematic and dynamic theories in classical mechanics by I. Newton, considered a mathematical model of body displacement, are based on the laws of arithmetic progression (or linear function), trigonometry and quadratic function (equation). It is shown that formulas, equations of motion and graphs of dependencies in these theories are mathematical mechanisms that implement the relationship between uniformly varying mechanical quantities and quantities that implement (modify) changes. It is shown that the transition of a uniform change of one value to an accelerated (progressive) change occurs according to the scheme of transition of a linear function into a quadratic equation. It is shown that the formula of an arithmetic progression (linear function) is created by moving from variables in a quadratic equation to a time variable, and from changing and changing parameters to the coordinate, velocity and acceleration of the progression. In order for the content of the article to correspond to the topic, priority was given to mathematical initiatives (prerequisites, originals) of all the problems under consideration.
The Impact of BABA: Mean Absolute Deviation (MAD) Tool: Beyond Spreadsheet Simple Statistics
Authors: Tuan Besar Tuan Badrol Hisham , Mohd Idaya Husna , Abdull Malek Siti Nadia Nadirah , Abu Seman Sharidatul Akma
Published: October 2024

This study evaluates the effectiveness and user experience of the Business Analytic Basic Aid (BABA) Mean Absolute Deviation (MAD) tool compared to manual MAD calculations using Excel among students. Initially, students were taught to perform MAD calculations manually with Excel, followed by an introduction to the BABA automated MAD tool. A survey was conducted to assess various aspects of usability, complexity, and overall experience with both methods. Survey results indicated a general preference for the BABA automated MAD tool, with high ratings for ease of use (mean: 3.96) and quick learning (mean: 4.06). However, the tool was perceived as somewhat complex (mean: 2.88), and students expressed a need for technical support (mean: 3.36). Despite these challenges, confidence in using the tool was high (mean: 3.78), and students appreciated its well-integrated functions (mean: 3.88).The findings suggest that while the BABA automated MAD tool provides significant advantages over manual calculations, further refinements and user support are needed to address its complexities. The study highlights the potential for improved learning outcomes and efficiency in statistical analysis through the adoption of automated tools in educational settings, offering valuable insights for educators and tool developers.
USO DE ANTICORPOS MONOCLONAIS NA ASMA: UMA OPÇÃO TERAPÊUTICA
Authors: De Sousa Borges Izabella , Rabelo Bitencourt Victor , Silveira Rosa Renata , Camargos Carvalho Lucas
Published: October 2024

A asma é uma patologia com grande prevalência na sociedade que repercute significativamente no cotidiano de seus acometidos. Ela se manifesta em diferentes graus, podendo  ser classificada a partir do tratamento necessário para seu controle. Cerca de 5-10% dos pacientes não respondem à terapia com corticoide inalatório, broncodilatador de longa ação e anticolinérgico,  sendo necessário medidas adicionais. Objetivo: O presente estudo tem por objetivo enfatizar que pacientes com asma grave ou asma eosinofílica podem se beneficiar do tratamento com imunobiológicos. Método: O artigo foi embasado em obras selecionadas nas plataformas PubMed, Scielo, Google acadêmico e revistas, usando os descritores “asma”, “tratamento da asma” e “anticorpos monoclonais na asma”. Considerando estudos atualizados e práticos.
The conceptual understanding on the role of human factor in the era of industry 4.0
Authors: Anupama B. , Kumar J. S. Ravi , Kirthika Immaculate Joseph , Bhavsar Harshvardhan
Published: October 2024

Each and every Industrial Revolution has influenced the society in different ways. The fourth Industrial Revolution has gained greater importance as it consists of wide range of disruptive technologies. The adoption of the digital transition has become very challenging for the organizations and particularly for its Human capital. There is very much need to adopt new set of skills in order to implement digitalized work process. So organizations and its HR should completely understand the concept of 4IR. The present paper has attempted to conduct conceptual understanding on the importance of 4IR in the manufacturing as well as service oriented process of the organizations. Along with that, the present paper attempted to understand the influence of 4IR on the work process and identify the challenges faced by the Human Resources in the implementation process and adoption of new digital and disruptive technologies in their work process. Systematic Review is conducted to understand the concepts by adopting Exploratory Research Design.
Green growth in e-commerce : Environmental management and customer actions
Authors: Khurjekar Sonali , Kaur Ranpreet , Puntambekar Devendra , Dixit Rajita , Patil Jayashree
Published: October 2024

The global e-commerce industry has been experiencing rapid growth, especially post COVID-19 pandemic, which has significantly transformed market structures and consumer shopping behaviour. The waste generated and the plastic pollution due to e-commerce is increasing tremendously post pandemic. The surge in e-commerce has contributed to an alarming increase in packaging waste, aggravating the plastic pollution crisis. Research indicates that traditional in-store shopping can substantially reduce CO2 emissions highlighting the environmental impact of online shopping. In response to these challenges, many e-commerce companies are implementing green technologies and sustainable practices to mitigate environmental impacts. However, individual customers also play a crucial role in promoting sustainability in online shopping. By making informed choices, consumers can significantly reduce their carbon footprint and contribute to a more sustainable future. This research explores effective strategies for managing environmental impacts and integrating green technologies in e-commerce operations, emphasizing the collaborative efforts of companies and customers to achieve sustainability. The research reveals that though majority of customers are concerned about environment and sustainability; while shopping they aim to satisfy their immediate needs. Customers have shown willingness to opt for the strategies like concession on returning the packaging, discounted price for less packaging and bulk purchases in a single order if introduced and implemented effectively by e-commerce companies.
Emerging and Digital Technologies Leading Towards Optimization and Innovative Business Performances
Authors: Kumar Anuj , Satsangi Alok , Pujari Purvi , Haque Rasheedul , Bagchi Sadhna
Published: October 2024

The first one was on “Global Conference on Emerging Technologies leading towards Sustainable Entrepreneurship, Economics, Tourism, Healthcare, Media, Education Supporting Green Environmental Practices and Business Growth”. This conference was organized by Confab 360 Degree, Delhi, India in collaboration with NSHM Knowledge Campus, Durgapur; Guru Nanak Institute of Management, Delhi; Indira Institute of Management, Pune; AAFT University of Media and Arts, Raipur; Rushford Business School, Switzerland; and PT. LEO Jejaring IImu, Indonesia. The conference was organized in hybrid mode on 8th and 9th December’2023.
A Novel Non-Iterative Deep Convolutional Neural Network with Kernelized Classification for Robust Face Recognition
Authors: Vishwakarma Virendra P. , Gupta Reena , Yadav Abhay Kumar
Published: October 2024

Deep Convolutional Neural Networks (DCNNs) are very useful for image-based pattern classification problems because of their efficient feature extraction capabilities. Although DCNNs have good generalization performance, their applicability is limited due to slow learning speed, as they are based on iterative weight-update algorithms. This study presents a new noniterative DCNN that can be trained in real-time. The fundamental block of the proposed DCNN is fixed real number-based filters for convolution operations for multi-feature extraction. After a finite number of feature extraction layers, nonlinear kernel mapping along with pseudo-inverse is used for the classification of extracted feature vectors. The proposed DCNN, named Deep Convolutional Kernelized Classification (DCKC), is noniterative, as the mask coefficients of its convolution operations are fixed real numbers. The kernel function with predefined parameters of DCKC does a nonlinear mapping of extracted features, and pseudo-inverse is used to find its output weights. The proposed noniterative DCKC was evaluated on benchmark face recognition databases, achieving better results and establishing its superiority.
Authorship Attribution for English Short Texts
Authors: Alsanoosy Tawfeeq , Shalbi Bodor , Noor Ayman
Published: October 2024

Internet and social media explosive growth has led to the rapid and widespread dissemination of information, which often takes place anonymously. This anonymity has fostered the rise of uncredited copying, posing a significant threat of copyright infringement and raising serious concerns in fields where verifying information's authenticity is paramount. Authorship Attribution (AA), a critical classification task within Natural Language Processing (NLP), aims to mitigate these concerns by identifying the original source of content. Although extensive research exists for longer texts, AA for short texts, namely informal texts like tweets, remains challenging due to the latter’s brevity and stylistic variation. Thus, this study aims to investigate and measure the performance of various Machine Learning (ML) and Deep Learning (DL) methods deployed for feature extraction from short text data, using tweets. The employed feature extraction methods were: Bag-of-Words (BoW), TF-IDF, n-grams, word-level, and character-level features. These methods were evaluated in conjunction with six ML classifiers, i.e. Naive Bayes (NB), Support Vector Machine (SVM), Decision Tree (DT), Logistic Regression (LR), K-Nearest Neighbors (KNN), and Random Forest (RF) along with two DL architectures, i.e. Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The highest accuracy achieved with an ML model was 92.34%, using an SVM with TF-IDF features. Even though the basic CNN DL model reached 88% accuracy, this outcome still surpassed the previously established baseline for this task. The findings of this research not only advance the technical capabilities of AA, but also extend its practical applications, providing tools that can be adapted across various domains to ensure proper attribution and expose copyright infringement.
Enhancing Neural Arabic Machine Translation using Character-Level CNN-BILSTM and Hybrid Attention
Authors: Messaoudi Dhaya Eddine , Nessah Djamel
Published: October 2024

Neural Machine Translation (NMT) has made significant strides in recent years, especially with the advent of deep learning, which has greatly enhanced performance across various Natural Language Processing (NLP) tasks. Despite these advances, NMT still falls short of perfect translation, facing ongoing challenges such as limited training data, handling rare words, and managing syntactic and semantic dependencies. This study introduces a multichannel character-level NMT model with hybrid attention for Arabic-English translation. The proposed approach addresses issues such as rare words and word alignment by encoding characters, incorporating Arabic word segmentation as handcrafted features, and using part-of-speech tagging in a multichannel CNN-BiLSTM encoder. The model then uses a Bi-LSTM decoder with hybrid attention to generate target language sentences. The proposed model was tested on a subset of the OPUS-100 dataset, achieving promising results.
Key Psychosocial Competencies for Employability in the Hotel Industry: Insights from A Literature Review
Authors: Vinay Sharma  , Dr. Ajay Singh
Published: October 2024

This paper aims to explore the key psychosocial competencies essential for enhancing employability for hotel management graduates. Through an extensive literature review, the competencies of communication, problem solving, interpersonal skills, managing emotions, critical thinking, and empathy are identified as crucial for success in the hotel industry. The article delves into the significance of these competencies in shaping the professional development and career prospects of hotel management graduates. Drawing upon insights from scholarly references, this comprehensive review sheds light on the importance of psychosocial competencies in preparing graduates for the dynamic and demanding landscape of hotel management. Strategies for developing psychosocial competencies are elaborated.
Eczema-Like Psoriasiform Skin Reaction Due to Brazilian Keratin Treatment, So Avoid this BKT by Taking Nutrients that Helps to Produce Keratin
Authors: Monika Dnyaneshwar Dange  , Khushbu Sanjay Pawar  , Komal Machidranath Halwar  , Harshada Gajanan Kamalkar  , Prof. Manisha  Ramesh Virkar  , Dr. Kavita Kulkarni
Published: October 2024

The use of formaldehyde and the formaldehyde releraers in hair strainghting formulation started in Rio de janerio in 2003 this is known as BKT. This Brazilian keratin treatment is common hair straighting method widely used by women in the world . The aim of this study was to analyze the Brazilian keratin treatment products contain the Insupportable high levels of formaldehyde . This hair stratetning products may bad to severe allergic contacts dermatitis ,by means of the responsible allergens such as formaldehyde and its releasers .The possible consiquence of the absorption of formaldehyde by hair dressers or clients are still to be verified by the scientific communuty however this skin and scalp reactions observed in our cases suggest a drug reaction phenomenon and not only eczemas of irritant or allergic origin. In the BKT when hairs are heated by blow drying and hot ioning the eczema like psoriasiform skin reactions that develops afterwords might be under dignose. So we can avoid this BKT treatment by increasing body keratin by eating biotin reached foods, food vit A etc
Pós-Transplante renal intervivos: Dinâmica afetiva entre doador e receptor
Authors: Pires Gabriela Costa , Santana Cinthia Jaqueline da Silva Cavalcanti de
Published: October 2024

A doença renal crônica é uma condição progressiva e irreversível, caracterizada pela perda lenta da função renal, que leva o paciente à terapia renal substitutiva (TRS). O transplante renal é uma das modalidades de TRS disponíveis, que pode ocorrer por meio de doador vivo ou falecido, sendo considerado a melhor opção por oferecer melhor qualidade de vida aos pacientes. Nos casos de transplantes intervivos, é fundamental que sejam avaliados os aspectos físicos e psicológicos dos doadores e receptores. Por envolver relações familiares, é comum que surjam expectativas diante da realização do procedimento, algumas voltadas para mudança no relacionamento da dupla doador e receptor após o procedimento. Sendo assim, por meio de uma abordagem qualitativa, este estudo teve como objetivo compreender a dinâmica do relacionamento entre doadores e receptores após serem submetidos ao transplante renal. As entrevistas semiestruturadas foram realizadas com 16 participantes, sendo 8 pacientes transplantados e seus 8 respectivos doadores. Para a apreciação dos dados foi utilizada a análise de conteúdo do tipo temática de Bardin. Os resultados evidenciaram duas categorias: sentimentos que influenciaram a motivação para a doação e sentimentos que repercutiram após a doação. Constatou-se que o impacto emocional do sofrimento do receptor no doador e na família, a esperança de melhoria da qualidade de vida do parente adoecido, o altruísmo e o papel do parentesco do doador foram algumas das razões atribuídas à decisão pela doação. Já a gratidão e o significado de amor conferido ao órgão recebido foram sentimentos suscitados após o transplante renal. Conclui-se que tais sentimentos envolvidos nesse processo repercutiram na dinâmica afetiva entre doador e receptor no pós- transplante, de forma a potencializar o vínculo num relacionamento que já apresentava estabilidade. Os resultados contribuem para a melhoria da assistência prestada baseada no cuidado integral desses sujeitos.
Through the Lens of Community of Inquiry: Scaffolding Chinese ESL Oral Participation in a US Online Graduate Course
Authors: Dian Jiang
Published: October 2024

This reflective writing identified components that contribute to increased participation of international ESL in one online graduate course. All the factors identified in the analysis as conducive to greater engagement and elevated participation naturally fell into the three presences of Community of Inquiry (CoI). As such, a new theoretical framework titled CoIParticipation Model was created to reveal the underlying connection between CoI and participation. Findings drawn from the critical analysis indicate that online courses maintaining a good CoI can effectively promote ESL class participation, especially oral participation, by eliminating linguistic barriers, building a sense of group commitment, and creating a connected community of learners. Instructional implications and practical teaching tips for TESOL professionals incorporating the CoI-Participation Model in online teaching are discussed.
Exploring Students’ World: Leveraging Funds of Knowledge Through Virtual Community Explorations
Authors: Durham Carmen , Jones Loren , Hall Wyatt
Published: October 2024

One essential part of teaching multilingual learners is leveraging their funds of knowledge, or students’ dynamic knowledge and practices developed in their households and communities. However, it can be challenging to identify funds of knowledge, especially in a virtual environment. This case study examines a virtual internship experience where preservice teachers (PSTs) completed a Community Exploration project designed to enhance their knowledge of students’ lives outside of school. PSTs identified important locations in the surrounding community, (virtually) visited these locations, and explored how to integrate possible funds of knowledge from these sites into their curriculum. Upon analyzing the Community Exploration projects, recordings of PSTs presenting their projects, and interviews with PSTs, we found that PSTs purposefully planned opportunities to discover students’ viewpoints, which allowed them to identify concrete examples of funds of knowledge and make connections to curriculum. We also discuss various challenges and implications for teacher education.
ChatGPT, Plagiarism, and Multilingual Students’ Learning to Write
Authors: Du Qian , Tate Tamara
Published: October 2024

ChatGPT has been at the center of media coverage since its public release at the end of 2022. Given ChatGPT’s capacity for generating human-like text on a wide range of subjects, it is not surprising that educators, especially those who teach writing, have raised concerns regarding the implications of generative AI tools on issues of plagiarism and academic integrity. How do we navigate the already complex discourse around what constitutes plagiarism and how much assistance is acceptable within the bounds of academic integrity? As we contemplate these theoretical questions, a more practical approach is to assess what these tools can do to facilitate students’ learning of existing academic integrity codes. In this short piece, we share our exploratory interactions with ChatGPT relevant to issues of plagiarism and academic integrity, hoping to shed light on how writing instructors can use the tool to facilitate the teaching and learning of ethics in academic writing.
Implementing Universal Design for Learning in Online Courses to Support Multilingual Students in Higher Education
Authors: Emihovich Benjamin
Published: October 2024

The COVID-19 pandemic impacted traditional pedagogies and modalities for facilitating instruction to all students, including those enrolled in higher education courses. Given the disruptions to in-person learning and the growing interest in distance education, higher education institutions are increasing the number of asynchronous online and blended courses in educational programs. This increase also coincides with the growing numbers of diverse students, including those from multilingual backgrounds, across college campuses in the United States. Student diversity calls for more inclusive instructional delivery modes. This article describes Universal Design for Learning (UDL), a framework designed to enhance teaching and learning for all students. It also explains how university faculty can implement UDL in online courses in higher education and in preservice teacher preparation courses. Finally, the article discusses the implications of UDL implementation for multilingual students enrolled in higher education courses.
Principles and Practices for the Preparation of Antiracist ESOL Teachers
Authors: de Oliveira Luciana C.
Published: October 2024

Events in 2020 sparked the need to continue a focus on ongoing inequities in the United States. This article addresses the preparation of ESOL teachers for antiracist work, acknowledging that racist beliefs and structures are pervasive in education and beyond, and how ESOL teachers can develop antiracist conscientização. I address questions related to power and privilege that are present in the TESOL field and provide an overview of historically racist practices that have been part of TESOL. I draw on some personal experiences with linguistic racism as a woman, Latina, transnational, immigrant, and selfidentified multilingual speaker who speaks English as an additional language to guide why and how I come to this work as a scholar and teacher educator. Drawing from the previous sections, I describe principles and practices to tear down those racist beliefs and structures, build antiracist classrooms, and guide the preparation of antiracist ESOL teachers.
Raciolinguistics through a Historical, Global, and Intersectionality Lens
Authors: Pino Josh Del
Published: October 2024

This article first provides a framing of how raciolinguistics exists in the world despite global progress in the past century. Raciolinguistics is then defined within a historical context that leads to Europeanness versus non-Europeanness (white or nonwhite) differentiation, social hierarchies, racial oppression, and modern-day linguistic violence. The second section addresses language education in relation to an additive approach, raciolinguistic approach, or provincializing English. The third section introduces linguistic profiling within Spanishspeaking Latinx communities. In the fourth section, I share some of my experiences as a cis gendered Black man speaking Japanese in Japan and my experiences being a Black man speaking English in the United States. Finally, I include activities for educators and students that can be used to move towards anti-racist teaching and learning environments. In conclusion, there is always action that needs to be taken to resist complacency and to engage with anti-racist pedagogy in classrooms and teacher training.
Intersectionality for TESOL Education: Connecting Theory and Justice Pedagogy
Authors: Kayi-Aydar Hayriye , Varghese Manka , Vitanova Gergana
Published: October 2024

This paper focuses on the concept of intersectionality, which has been used to account for multiple forms of identity and inequality. It argues that intersectionality is a powerful theoretical lens that could be used in analyzing language teachers’ identities and their various contexts. It is also deeply connected to an orientation and understanding of justice. One significant connection that still needs to be explored in TESOL education is how intersectionality and social justice interact. Thus, the paper examines what specific professional practices educators can develop to support the critical awareness of language teachers in training. It concludes that one of the most important tasks for language teacher educators is to help current and future practitioners not only to understand the theory behind intersectional pedagogy, but to generate their own relevant, critical questions about forms of social and educational injustice in schools and other institutional contexts.
Critical Media Work as Antiracist Pedagogy in Language Learning Classrooms
Authors: Chamberlin Carla R. , Khan Muhammad Ali
Published: October 2024

Language learning classrooms are sites of discovery not only of language, but of identity, culture, and community. The pedagogical approach described here, critical media work (CMW), integrates language teaching and social issues by using media literacy as a bridge. CMW explores antiracist discourse in popular media (digital and analog) to dismantle simplified, binary thinking about race. CMW encourages semiotic analyses of antiracist discourse and examines messages along continuums that emphasize complexities and intersections of race, language, and culture. We share how language teachers at two urban colleges that serve immigrant populations integrate CMW into their classes, and we discuss the effectiveness of this pedagogy in terms of language learning and antiracist education. We maintain that language teaching and social justice education can support each other and that media literacy provides a meaningful and effective foundation for engaged antiracist pedagogy.
The Positioning of Black ESL Teachers in the United States: Teacher Perspectives
Authors: Nabukeera Olive
Published: October 2024

This study draws upon critical theory for its theoretical underpinnings and narrative inquiry as a methodological tool to examine the ways that Black ESL teachers working in Intensive English Language Programs in the United States position themselves and define their roles as language educators especially with consideration of their diverse racial, linguistic, and cultural identities. Data collection consisted largely of a questionnaire survey and interviews that were conducted with seven teachers and administrators of African descent. Results suggested that teachers in the study see themselves as more than English language specialists but as role models, life coaches, cultural ambassadors, and agents of social change in ESL classrooms. Narratives showed that Black teachers’ perspectives and approaches to teaching English as a second language are a valuable resource for educators seeking to incorporate race pedagogy in the ESL curriculum and improve faculty racial diversity.
Developing Adult Immigrant English Language Learners’ Career and Life Competence in an ESL Program
Authors: Wang Fang
Published: October 2024

According to the American Immigration Council, there were 28.4 million immigrant workers in the United States in 2018, comprising 17 percent of the labor force. As a result, English as a second language (ESL) programs have been developed by educators and policy makers to help them acquire English language proficiency. Some immigrants, especially older immigrants, have a pressing need to improve their quality of life by improving on their competence. Unfortunately, their immediate learning needs were not taken into consideration in the ESL program where I, as an ESL instructor, was affiliated. This article describes how I implemented theories of adult education in an eight-week ESL class, which aimed to help older adult immigrants develop career and life competence by using authentic and adapted learning materials. This article provides reflections on my instruction and recommendations for future implementations.