bluuebunny/crossref_metadata_2025 huggingface dataset:
Postgraduate Students’ Perceptions on the Benefits Associated with Artificial Intelligence Tools on Academic Success: In Case of ChatGPT AI tool
Authors: Chauke Thulani Andrew , Mkhize Themba Ralph , Methi Lina , Dlamini Ntandokamenzi
Published: March 2024

Postgraduate students in developing nations, such as South Africa, are increasingly leveraging artificial intelligence tools like ChatGPT to elevate their academic success in the era of the fourth industrial revolution. This study aims to explore postgraduate students' perceptions of the benefits associated with the utilisation of artificial intelligence tools, with a specific focus on ChatGPT, in their academic success in South Africa’s historically disadvantaged universities. Employing a qualitative approach, the study aims to gain a deeper understanding of postgraduate views on this subject. The sample size comprised 10 postgraduate students pursuing master's degrees within the two selected South Africa’s historically disadvantaged universities, selected through purposive sampling. Semi-structured interviews were conducted to gather insights from the postgraduate students. Thematic analysis was employed to analyse the collected data. The study's findings shed light on the significant advantages of incorporating ChatGPT in students' academic journey with special focus on research success. The study found that ChatGPT proves beneficial for postgraduate students, with some utilising the AI tool to refine their research topics before submission to their supervisors. Moreover, ChatGPT assists postgraduate students in identifying grammatical errors and paraphrasing their academic writing, contributing to the enhancement of their writing skills. In light of these findings, the study recommends the immediate development of an innovative AI ethical use policy in South Africa’s historically disadvantaged universities. This policy should emphasise ethical guidelines for postgraduate students when utilising AI tools, such as ChatGPT to ensure responsible and effective integration into their academic success.
Evaluation Of Digital Banking Application Adoption Based On The Technology Acceptance Model (Tam)
Authors: Nihayah Naelun , Purnama Nursya’bani
Published: March 2024

In this digital era, digital banking has become an integral part of the banking sector. Users decisions to adopt and use digital banking services are significantly influenced by their perceptions and attitudes toward this technology. This research aims to analyze the factors that influence users' intention to use digital banking, utilizing the Technology Acceptance Model (TAM) as the theoretical framework. The study involves 100 respondents randomly selected through the method of random sampling. Data will be collected via an online questionnaire comprising TAM variables, including perceived usefulness and perceived ease of use. The data analysis will be conducted using the Partial Least Square Structural Equation Modeling (PLS-SEM) statistical method. The findings of this research are expected to provide a deeper insight into the factors affecting the adoption of digital banking and can serve as a guide for banks and financial service providers in enhancing the acceptance of digital banking technology among users.
NECELIJAČNA GLUTENSKA SENZITIVNOST – DIJAGNOSTIČKI I TERAPIJSKI IZAZOV
Authors: Marković Dušanka , Bjelaković Bojko , Jović Marko , Ilić Dragana , Popović Danijela
Published: March 2024

Necelijačna glutenska senzitivnost (NCGS) predstavlja glutenom posredovano oboljenje kojem se, u  poslednje vreme, pridaje velika pažnja zbog sve većeg broja pacijenata sa preosetljivošću na hranu koja sadrži gluten. Ovo je stanje kod kojeg ingestija hrane koja sadrži gluten, dovodi do imunoloških, morfoloških i simptomatskih manifestacija kod osoba kod kojih je isključeno postojanje celijakije i alergije na gluten. Epidemiološki podaci variraju od studije do studije, tako da se prevalenca kreće u rasponu od 0,6-6 %. Patogeneza je heterogena i još nedovoljno poznata. Dominantnu ulogu ima urođeni imunski odgovor uz druge faktore kao što su intestinalna infla­macija sa promenama u intestinalnoj mikrobioti i permeabilnosti. Karakteriše se gastro­intes­ti­nalnim i ekstraintestinalnim simptomima koji se javljaju ubrzo nakon konzumiranja glutena, a  povlače nakon uvođenja bezglutenske dijete. Nedostatak biomarkera je još uvek glavni ograni­ča­vajući faktor kliničkih studija, što otežava razlikovanje NCGS od drugih stanja izazvanih konzumacijom glutena. Buduće studije bi trebale definisati smernice i dati odgovore na pitanja vezana za patogenezu, dijagnostiku i terapijski pristup NCGS.
PRIMENE RAZLIČITIH VRSTA NEINVAZIVNE RESPIRATORNE PODRŠKE KOD PREVREMENO ROĐENE DECE I MOGUĆNOST PREVENCIJE KOMPLIKACIJA
Authors: Veković Borko , Veković Vesna , Živković Zorica
Published: March 2024

Mehanička ventilacija putem endotrahealnog tubusa za mnoge prevremeno rođene bebe predstavlja vid respiratorne potpore koja spasava život. Ipak, u nekim slučajevima mehanička ventilacija dovodi do oštećenja pluća i pojave hronične plućne bolesti kod prematurusa. Uprkos primeni antenatalne kortikosteroidne terapije, primeni plućnog surfaktanta i različitih modova konvencionalne i visokofrekventne oscilatorne ventilacije, više od 40% novorođenčadi rođene pre 28. nedelje gestacije i dalje razvija komplikacije. Smanjenje trajanja mehaničke ventilacije, rana ekstubacija i primena neinvazivnih metoda respiratorne potpore jesu mere koje dokazano manje oštećuju pluća i  druge komplikacije.
Synthesis of silver oxide nanoparticles using aqueous leaf extracts of Viscum orientale Willd, Coleus amboinicus Lour and evaluation of their antibacterial activity
Authors: M. Karthikeyan  , P. Vijaya Kumar  , A. Jafar Ahamed  , A. Manohar  , M. Priyadharshan
Published: March 2024

The objective of this study was to develop a straightforward biological synthesis of  silver oxide nanoparticles (Ag2O NPs) using aqueous leaf extract of Viscum orientale Willd and Coleus amboinicus Lour as a good lowering and capping agent . The UV–visible bands observed at 499 and 451 nm was confirmed the creation of nanosized Ag2O particles making use of Viscum orientale Willd and Coleus amboinicus Lour plants. The formation of Ag2O stretching frequency was confirmed by FTIR spectral studies. Scanning electron microscopy and EDAX analysis displayed  Ag2O nanoparticles have been pure and spherical shaped and had been the variety of length from 35±2 nm for (Ag2O NPs) by the usage of Viscum orientale Willd and 32±2 nm for (Ag2O NPs) Coleus amboinicus Lour vice-versa. The fashioned nanoparticles have been cubic in association and face-centered cubic in form, consistent with X-ray diffraction studies. The shaped green kind Ag2O NPs confirmed ambitious antibacterial  against each gram possitive and gram negative bacteria.
GROWTH AND ACCUMULATION OF PHENOLIC COMPOUNDS IN THYME (Thymus vulgaris) BASED ON THE BALANCE OF RED AND BLUE LED LIGHTS
Authors: Morales-Becerril Carlos de Jesús , Colinas-León María Teresa , Soto-Hernández Ramón Marcos , Martínez-Damián María Teresa , Mendoza-Castelán Guillermo
Published: March 2024

The new plant production methods that use artificial light to replace or complement sunlight have proven that changes in the wavelength of incidental light result in variations in growth, development and secondary metabolism of plants, depending on the genotype and other environmental conditions. However, these methods have been scarcely studied in medicinal and edible plants. The aim of this study was to determine the response of thyme plants (Thymus vulgaris) under different wavelengths. The plants were exposed to red light (660 nm), blue light (440 nm), white light and two proportions of red-blue for 16 hours a day at an intensity of 25 µmol m−2 s−1. The treatments were isolated from sunlight and from each other. Red light was found to promote the formation of etiolated plants, with a low accumulation of chlorophyll, dry matter and phenolic compounds compared to the white light treatment. Blue light generated compact plants with a higher accumulation of chlorophyll and dry matter than red light, but similar to the white light treatment. In terms of phenolic compounds, accumulation was higher under the two latter treatments. The planting of thyme under a combination of blue-red light at a 3:1 ratio was found to result in a compact growth and to improve the accumulation of phenolic compounds.
The Effect of Intellectual Capital, Leverage and Company Size on Profitability and its Impact on Company Value of Sub-Sector Food and Beverage Registered on the Indonesian Stock Exchange Period 2012 - 2022
Authors:   Faculty of Economics and Business, North Sumatera University, Medan, Sipahutar Al-Wahfi Suhada , Erlina Erlina ,   Faculty of Economics and Business, North Sumatera University, Medan, Hasyim Sirojuzilam ,   Faculty of Economics and Business, North Sumatera University, Medan
Published: March 2024

This study aims to determine the effect of intellectual capital, leverage, and company size on profitability and their impact on company value in the food and beverage sub-sector. This research is quantitative empirical research using hypothesis research that examines the significant influence and direction of the direct and indirect relationship between the independent variables and the dependent variable through the intervening variable. This study used a sample of food and beverage sub-sector companies listed on the IDX for 2012–2022 using a purposive sampling method where 45 companies were obtained from the population and 14 companies were selected according to predetermined criteria. Based on statistical test results, it was found that intellectual capital partially had a negative and insignificant effect on profitability, while leverage and company size had a positive and significant effect on profitability. Partially, intellectual capital, leverage and profitability have a positive and significant effect on company value, while company size has a negative and insignificant effect on company value. Partially, the results of the Sobel Test Path Analysis indirectly mean that profitability as an intervening variable is not able to mediate the influence of intellectual capital and leverage on company value, while directly profitability as an intervening variable is able to mediate the influence of company size on company value.
Regulating the Element of Harming the State Economy in Corruption Offenses in Indonesia
Authors:   Faculty of Law, Universitas Jambi, Jambi, Indonesia, Despinola Antonius , . Hafrida ,   Faculty of Law, Universitas Jambi, Jambi, Indonesia, . Hartati ,   Faculty of Law, Universitas Jambi, Jambi, Indonesia
Published: March 2024

The separation between state financial losses and the state economy shows that there is a different character between the two terms so that there are also differences in the fulfillment of the elements of state financial losses and state economic losses. The Constitutional Court Decision No. 25/PUU-XIV/2016, has decided that the fulfillment of the elements of state financial losses or the state economy must be determined with real and certain (actual loss). The existence of real and certain requirements that are also applied to the fulfillment of the elements of the state economy, needs to be studied further considering that at the level of law enforcement practices of corruption crimes committed in Indonesia, more is done on the fulfillment of the elements of state financial losses. On this basis, a research was conducted on the "Arrangement of the Element of Harm to the State Economy in the Offense of Corruption in Indonesia", to then focus on analyzing how the arrangement of the element of loss to the state economy in law enforcement of corruption in Indonesia? This research includes normative juridical research, with a statutory approach, case approach, historical approach, and conceptual approach, to then be analyzed qualitatively, and presented descriptively in the form of an article. The results of the study indicate that the legislation in force in Indonesia only provides strict arrangements relating to State Finance, while there is no law specifically regulating the State Economy or called the Law on the State Economy. The legal norm of the definition of the State Economy is also not specifically regulated in the norms of the body of legislation, but is found in the General Elucidation of Law Number 31 of 1999 as amended by Law Number 20 of 2001. The placement of the definition of the State Economy in the General Elucidation clearly does not have the same normative position as the placement in the Article provisions of a statutory regulation. With this condition, it is necessary to reform the regulation of the state economy specifically so that it can then be used as a legal basis in determining the elements of losses to the state economy in corruption crimes.
ENHANCING JOB PERFORMANCE: EXPLORING THE IMPACT OF EMPLOYEE LOYALTY AND TRAINING ON QUALITY HUMAN RESOURCES PRACTICES
Authors: Obeng Hayford , Tessema Dagnu Haile , Nuhu Japheth Ahmed , Atan Tarık , Tucker Jeneba Joy
Published: March 2024

The current phase of globalization brings significant challenges to both private and public sectors globally, driven by rapid technological advancements and intense competition. In this context, the effectiveness of organizations depends crucially on the quality of their workforce and workplace practices. However, existing studies on job performance often overlook the pivotal roles of employee loyalty and training programs in fostering quality human resources. This study addresses this gap by examining how quality human resources practices influence job performance, with a focus on the mediating role of employee loyalty and the contribution of training and development programs. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) and survey data from 175 individuals in Ghanaian public hospitals, our findings underscore the significant positive impact of both employee loyalty and training and development opportunities on job performance. Moreover, we reveal that employee loyalty fully mediates the relationship between quality human resources and job performance. Furthermore, our results indicate that the association between employee loyalty and job performance is moderated by the availability of training and development opportunities. These findings emphasize the importance of prioritizing training and development programs to enhance employee loyalty, thereby improving job performance.
SAĞLIK ALANINDA FAALİYET GÖSTEREN AKADEMİSYENLERİN BEDEN BAĞIŞI KONUSUNDAKİ YAKLAŞIMLARININ İNCELENMESİ
Authors: Kundaktepe Betül , Canbolat Mustafa
Published: March 2024

Organ nakillerinde vericiler ya canlı kişilerdir ya da kadavradır. Nakli yapılacak organlar için kaynak, gelişmiş ülkelerde çoğunlukla kadavradır. Kadavra tıp eğitiminde de kullanılmaktadır. Kadavra bulmakta yaşanan sıkıntılar organ nakli bekleyen hastaları olduğu gibi tıp eğitimini de olumsuz olarak etkilemektedir. Bu çalışmanın amacı, sağlıkla ilgili fakültelerde görev yapan akademisyenlerin beden bağışı konusundaki tutum ve görüşlerini tespit etmektir. Çalışma, İnönü Üniversitesi’ne bağlı Tıp, Diş Hekimliği, Hemşirelik, Eczacılık ve Sağlık Bilimleri fakültelerinde görev yapan 214 akademisyenle gerçekleştirilmiştir. Sonuçlar katılımcıların %58,9’unun tıp eğitimi için bedenini bağışlamayı düşünmediğini, %84,7’sinin şu ana kadar organ bağışı için girişimde bulunmadığını, %64,5’inin ailelerinin beden bağışını kabul etmeyeceğini, %21,4’ü dinen uygun olmadığını, %54,7’si beden bağışı prosedürlerini bilmediğini ifade etmiştir. Yetkili bakanlık ve kurumların daha fazla bilinç yükseltme faaliyeti yapmasının beden bağışına karşı var olan düşük ilgiyi arttırabileceği düşünülmektedir.
ПОЛИТИКО-ЭКОНОМИЧЕСКИЕ ОТНОШЕНИЯ МЕЖДУ СССР И ТУРЕЦКОЙ РЕСПУБЛИКОЙ В 40-60-Е ГОДЫ ХХ ВЕКА
Authors: Гасанов Юсифали
Published: March 2024

Русско-турецкая отношения, начавшаяся с войны за независимость Турции и объявления ее Республикой, завершившаяся подписанием Договора о мире в 1925 г. и продолжившись в соответствии взаимных интересов до середины 1930 г. С начала 1930-х годов приоритеты двух стран также изменились параллельно с изменением мировых условий. В частности, в период, начавшийся с подписания в 1936 году Конвенции о проливах Монтрё и продолжавшийся Второй мировой войной, отношения между двумя странами ухудшились, и произошел своеобразный возврат к традиционной турецко-российской политике. После войны стремлением к изменению режима в проливах Монтрё, с советскими нотами с требованием создания баз в проливах, отношения зашли в тупик, и до 1960-х годов элементом, направлявшим внешнюю политику Турции и отражавшим ее внутреннюю политику, был «советский» страх, другими словами, страх перед коммунизмом. Этот страх привел к тому, что даже слово «левые» было воспринято как угроза, а публикации, поддерживающие эту идеологию, особенно пресса, были запрещены. В 1940-х и 1950-х годах в стране было принято множество решений о запрете сбора и публикации книг, календарей и различных видов печатных текстов в связи с коммунистической пропагандой. Настоящее исследование, подготовленное на основе фундаментальных научных исследований и научных статей, имеет целью выявить формы экономических отношений и их результаты параллельно с политическими отношениями Турции с СССР в 1940-1960-е годы.
ОЦЕНКА ЭФФЕКТИВНОСТИ ФУНКЦИОНИРОВАНИЯ ИННОВАЦИОННОЙ ИНФРАСТРУКТУРЫ КАЗАХСТАНА
Authors: Мусаева Айман
Published: March 2024

Формирование развитой и структурно сбалансированной инновационной инфраструктуры является критическим фактором для успешного развития инноваций. Для более глубокого понимания тенденций развития инновационных систем в условиях наукоемкой экономики необходимо провести дополнительное исследование. Целью исследования является проведение оценки эффективности функционирования инновационной инфраструктуры Казахстана. Эффективное формирование инфраструктуры инновационной системы в республике требует детального анализа отдельных компонентов и их взаимодействия в рамках системы. В качестве объекта исследования была рассмотрена инфраструктура инновационной системы Республики Казахстан. Объективное исследование процессов создания и функционирования инновационных звеньев системы в Казахстане поможет обосновать ключевые направления для повышения эффективности инновационной деятельности в стране с целью формирования наукоемкой экономики.
Эффективность функционирования инновационной инфраструктуры Республики Казахстан и ее оценка, является весьма актуальной темой для исследования, ввиду отсутствия в стране системного видения инновационного развития, учитывающего взаимодействие различных компонентов национальной системы, включающие в себя региональные и отраслевые инновационные системы.
В ходе исследования автором применены методы анализа данных, сравнения, корреляционно-регрессионного анализа, SWOT-анализа.
В целях проведения оценки эффективности мер в реализации проводимой инновационной политики в Казахстане автором применен разработанный методологический подход к анализу и оценке состояния инновационной инфраструктуры, в основе которой положена разработка комплекса показателей, состоящего из 18 показателей в разрезе 6-ти инфраструктурных подсистем – правовая (3), организационная (2), финансово-инвестиционная (3), кадровая (3), технико-технологическая (3), информационная (3).
Исходя из проведенного SWOT-анализа, автор определил стратегическую цель – последовательное и устойчивое движение к формированию высокоэффективной наукоемкой экономики. Кроме того, были разработаны основные стратегические направления для достижения данной цели.
АТЫРАУ ОБЛЫСЫНДАҒЫ АДАМИ КАПИТАЛДЫҢ ДАМУЫНА ӘСЕР ЕТЕТІН ФАКТОРЛАР
Authors: Сабирова Рысты
Published: March 2024

Білім, кәсіби құзыреттілік, әлеуметтік-экономикалық даму адами капиталдың тікелей құрамдас бөлігі болып табылады, өз кезегінде адами капитал деңгейі компанияның және бүкіл мемлекеттің құндылығын құрайды. Адами капиталды дамыту инновациялық экономика жағдайында өзекті, өйткені білім инновацияларды үздіксіз жүзеге асыруға мүмкіндік береді.
Бұл мақалада Қазақстанның батысында орналасқан Атырау облысындағы экономикалық өсу жағдайында адами капиталдың дамуы, жұмыспен қамту және табыс деңгейіның әсері қарастырылып, олардың өзара байланысы анықталды. Білімді экономика елдің және оның өңірлерінің инновациялық тұрғыдан дамуына, оның бәсекеге қабілеттілігін арттыруда маңыздылығы анықталды.
Мақаланың басты мақсаты өңірдегі адами капиталдың дамуы және оған әсер ететен факторларды қарастыру, адами фактор мен өңірдегі экономикалық өсудің арасындағы өзара байланысты анықтау.
Ғылыми мақалада алдымен адами капитал теориясы қарастырылып, адами капиталдың жинақталуы экономикалық өсу үшін неге маңызды болуы мүмкін екендігі талқыланады. Содан кейін адами капиталдың қалыптасуына әсер ететін факторлар қарастырылады.
Тұрақты және ұзақ мерзімді экономикалық өсуге қолжеткізу үшін адами капиталды дамытуға бағытталған құрылымдық реформалармен сүйемелденетін экономикалық өсуді ынталандыру жөнінде тиісті шаралар бойынша ұсыныстар берілді.
КӘМEЛEТКE ТOЛМAҒAНДAPДЫҢ КӘCІПКEPЛІК ҚЫЗМEТПЕН АЙНАЛЫСУДАҒЫ ҚҰҚЫҚТЫҚ ЖАҒДАЙЫ
Authors: Нypжaнoвa Aйнaгyль
Published: March 2024

Мaқaлaдa жасы кәмeлeткe тoлмaғaндардың кәcіпкepлік қызметпен айналысудағы құқықтық жағдайының өзeкті мәceлeлepі cипaттaлғaн. Дaмығaн мeмлeкeттepдің құқықтық тәpтібінe тән кәмeлeткe тoлмaғaндapды «эмaнcипaциялay» инcтитyтының Қaзaқcтaн Pecпyбликacының aзaмaттық зaңнaмacындa пaйдa бoлып, кәмeлeткe тoлмaғaндapғa зaңды өкілдepінің кeліcімімeн oн aлты жacқa тoлғaннaн кeйін кәcіпкepлік қызмeтпeн aйнaлыcyғa pұқcaт бepy eңбeк құқығы тұpғыcынaн дayлы бoлып келеді. Кәмeлeткe тoлмaғaндapдың құқықтық cyбъeктивтілігін түcінyдің тeopиялық тәcілдepінде ашу қарастырылған. Жұмыcтa aвтop бaлaғa кәcіпкepліктің жaлпы peжимінe жaқындaтaтын кәcіпкepлік қызмeттің caлыcтыpмaлы түpдe epкін peжимін ұcынбaй, мұндaй қызмeт эмaнcипaцияның шapты бoлa aлмaйтындығын, өйткeні oл бapлық қaжeтті бeлгілepгe cәйкec кeлмeйтінін жәнe ықпaл eтyші тұлғaлapдың бaқылayымeн aйтapлықтaй шeктeлeтінін aтaп өтті.
Мaқaлaдa кәcіпкepлepді қoлдay жәнe oқытy cәттepі қaмтылғaн, бұл шaғын кәcіпкepлікті дaмытyдың нeгізгі құpaлы мен eлдeгі opтa бизнec бoлып тaбылaды. Coндaй-aқ, автop кәмeлeткe тoлмaғaндapдың мәмілeлep жacay жәнe кәcіпкepлікпeн aйнaлыcy мәceлeлepінe қaтыcты құқықтық acпeктілepмeн тaныcтыpaды. Жaлпы, кәмeлeткe тoлмaғaндapдың мүддeлepін қopғay жәнe oлapды мәмілeлep мeн кәcіпкepлік caлacындa пaйдaлaнyды бoлдыpмay мәceлeлepі, мәмілeлep жacay нeмece кәмeлeткe тoлмaғaндapдың кәcіпкepлік қызмeтпeн aйнaлыcyы кeзіндe ықтимaл тepіc caлдapлapды бoлдыpмay жөніндeгі ұcынымдap қaмтылғaн.
PROFESSIONAL GRAPHIC JUSTIFICATION OF TEST PROGRAMS FOR PROFESSIONALLY SIGNIFICANT QUALITIES ASSESSMENT OF FUTURE SPECIALISTS
(ON THE EXAMPLE OF KH. DOSMUKHAMEDOV ATYRAU UNIVERSITY)
Authors: Burov Alexander
Published: March 2024

Professional education and development involve not only learning extensive theoretical knowledge but also applying it through practical skills, especially those involving motor abilities that are crucial to the profession.
The current vocational education system integrates professional diagnostics most effectively when it incorporates methods from professionally oriented physical culture. This approach is key to developing the physical competence and readiness required for specialists to excel in their fields.
This study aims to establish comprehensive testing programs to evaluate the conditioning qualities that are important for the professional development of students as they train to become specialists. The methodology used for this study involves a professional analysis of the university's specialty training programs. This includes categorizing professions into standard groups based on the core subject matter and defining broad professional categories with common features. A detailed professional structure was outlined for each faculty, and specialties were categorized by profession type: “H-H”; “H-S”; “H-T”; “H-N”; “H-AR”. On the basis of analysis of special features and conditions of learned types professional activity were created their generalized profiles (professiograms) with highlighting a block of professionally important qualities, properties and functions. Subsequently, for each typical group of professions were selected motor test tasks to assess the level of professionally important formation for these quality professions.
LOCALISING TEXT AND PERFORMANCE: AVENUES FOR EXPLORING SHAKESPEARE AND CULTURAL-CREATIVE ADAPTATION
Authors: Ali Termizi Arbaayah , Fretz Claude , Georgopoulou Xenia , Qingchen Dong
Published: March 2024

The article comprises three case studies examining Shakespearean productions across varied geographical and methodological arenas, aiming to review and identify promising avenues for new directions in performance research. Through analyses of political adaptations in Greece, cultural hybridity in Malaysian productions, and practice-based research models (involving rehearsal studies) deployed at the Folger Theatre (USA), this article explores the mechanisms by which Shakespeare’s works blend into different historical, political, and cultural contexts. In doing so, it advocates for a departure from the conventional emphasis on textual or performative authenticity in Shakespeare studies. By documenting how diverse values, practices, and experiences shape creative processes, it reveals these endeavours as dynamic networks of cultural-creative collaboration. Ultimately, this study transcends traditional geographical and methodological limitations, urging readers to recognise and celebrate the ever-evolving presence of Shakespeare in diverse cultures and media.
An Empirical Evaluation of Adapting Hybrid Parameters for CNN-based Sentiment Analysis
Authors: Maree Mohammed , Eleyat Mujahed , Rabayah Shatha
Published: March 2024

Sentiment analysis aims to understand human emotions and perceptions through various machine-learning pipelines. However, feature engineering and inherent semantic gap constraints often hinder conventional machine learning techniques and limit their accuracy. Newer neural network models have been proposed to automate the feature learning process and enrich learned features with word contextual embeddings to identify their semantic orientations to address these challenges. This article aims to analyze the influence of different factors on the accuracy of sentiment classification predictions by employing Feedforward and Convolutional Neural Networks. To assess the performance of these neural network models, we utilize four diverse real-world datasets, namely 50,000 movie reviews from IMDB, 10,662 sentences from LightSide Movie_Reviews, 300 public movie reviews, and 1,600,000 tweets extracted from Sentiment140. We experimentally investigate the impact of exploiting GloVe word embeddings on enriching feature vectors extracted from sentiment sentences. Findings indicate that using larger dimensions of GloVe word embeddings increases the sentiment classification accuracy. In particular, results demonstrate that the accuracy of the CNN with a larger feature map, a smaller filter window, and the ReLU activation function in the convolutional layer was 90.56% using the IMDB dataset. In comparison, it was 80.73% and 77.64% using the sentiment140 and the 300 sentiment sentences dataset, respectively. However, it is worth mentioning that, with large-size sentiment sentences (LightSide’s Movie Reviews) and using the same parameters, only a 64.44% level of accuracy was achieved.
An Accident Prediction Model Based on ARIMA in Kuala Lumpur, Malaysia, Using Time Series of Actual Accidents and Related Data
Authors: Chong Choo Boon , Abdul Razak Musab , Mohd Tohir Mohd Zahirasri , Awang Biak Dayang Radiah , Syam Syafiie
Published: March 2024

Recently, there has been an emerging trend to analyse time series data and utilise sophisticated tools for optimally fitting time series models. To date, Malaysian industrial accident data is underutilised and lacks informative records. Thus, this paper aims to investigate the Malaysian accident database and further evaluate the optimal forecasting models in accident prediction. The model’s input was based on available data from the Department of Occupational Safety and Health, Malaysia (DOSH), from 2018 until 2021, with 80% of the dataset to train the models and the remaining 20% for validation. The negative binomial and Poisson distribution prediction showed a mean absolute percentage error (MAPE) of 33% and 51%, respectively. It indicated that the negative binomial performed better than the Poisson distribution in accident frequency prediction. The available time series accident data were gathered for four years, and stationarity was checked in R Studio software for the Augmented Dickey-Fuller test. The lowest Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC) and other error values were used to justify the best model, which was the ARIMA(2,0,2)(2,0,0)(12) model. The ARIMA models were considered after the data showed autocorrelation. The MAPE for both ARIMA in R and manual time series were 40% and 49%, respectively. Therefore, the accident prediction by using R Studio would outperform the manually negative binomial and Poisson distribution. Based on the findings, industrial safety practitioners should report accidents to DOSH truthfully in the era of digitalisation. It could enable future data-driven accident predictions to be carried out.
Evaluation of Microalgae Chlorella vulgaris and Tetradesmus bernardii for Cultivation and Nutrient Removal in Palm Oil Mill Effluent
Authors: Wais Mohammad Navid , Zulkifly Shahrizim , Ibrahim Mohd Hafiz , Mohamed Afiqah , Zana Rudin Zana Ruhaizat
Published: March 2024

The palm oil industry is one of the key players in contributing to Malaysia’s economy. Palm oil mill effluent (POME), a significant by-product of the oil extraction process, requires mandatory remediation to ensure proper treatment and disposal. Bioremediation using microalgae is a cost-effective and sustainable approach. This study aims to utilise pure and mixed microalgal species, Chlorella vulgaris and Tetradesmus bernardii, in phycoremediation and biomass production in different concentrations of POME (20%, 40%, 60%, and 80%). Cultivation of microalgae was carried out in 200 mL medium with pH 7–7.8, room temperature of 25±1°C for 21 days and continuous light illumination at 2000 lux. The highest biomass productivity was observed in 20% POME for mixed microalgae (mean = 0.1733 mg.mL-1 ± 0.0057), followed by C. vulgaris (0.1633 mg.mL-1 ± 0.0057) and T. bernardii (0.1603 mg.mL-1 ± 0.0020). Similarly, the highest nutrient removal was observed in 20% POME for mixed microalgae (COD:66.9801%, TN:86.9565%, TP:86.9655%), followed by C. vulgaris and T. bernardii. The results showed positive effects on growth, increased biomass production, and nutrient removal, with 20% POME being the optimal concentration for microalgae. Valuable by-products, such as high-quality pigments and biomass, are also generated by applying microalgae for remediation. Mixed microalgae are superior in the remediation of POME compared to single-culture algae. Treating wastewater through microalgal bioremediation is highly efficient in nutrient removal. This research has contributed towards the use of mixed microalgae to achieve effective nutrient removal and biomass for future industrial applications.
Effectiveness of Art Therapy Programs in Enhancing Recovery and Rehabilitation in Sports Medicine
Authors: Semelng’o Peter
Published: March 2024

Purpose: The general aim of the study was to examine the effectiveness of art therapy programs in enhancing recovery and rehabilitation in sports medicine.

Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.

Findings: The findings reveal that there exists a contextual and methodological gap relating to the effectiveness of art therapy programs in enhancing recovery and rehabilitation in sports medicine. Preliminary empirical review revealed that art therapy interventions offer a holistic approach to healing, addressing athletes' physical, emotional, and social needs during the recovery process. Through a comprehensive review of empirical studies, the findings demonstrated consistent positive outcomes, including improved physical function, pain management, psychological well-being, and overall recovery among athletes. The study highlighted the importance of interdisciplinary collaboration and patient-centered care in sports medicine rehabilitation, as well as the potential cost-effectiveness of incorporating art therapy into standard practice. These findings underscored the value of art therapy as a complementary intervention in optimizing athletes' recovery and facilitating their successful return to sport.

Unique Contribution to Theory, Practice and Policy: The Social Cognitive theory, Self- Determination theory and Biopsychosocial model may be used to anchor future studies on the effectiveness of art therapy programs in enhancing recovery and rehabilitation in sports medicine. The study provided recommendations that contributed to theory, practice, and policy. The findings emphasized the importance of grounding art therapy interventions in established theoretical frameworks, integrating them into standard rehabilitation protocols, advocating for policy support and reimbursement, fostering collaboration and partnerships, developing standardized protocols and outcome measures, and advancing research and evaluation efforts. These recommendations aimed to optimize the use of art therapy as a holistic and effective intervention for athletes recovering from sports injuries, ensuring equitable access to these services and fostering a culture of innovation in sports medicine rehabilitation.
Social Development and Governance Innovations in Education, Technology and Management
Authors: Bansal Rajeev
Published: March 2024

The book "Social Development and Governance: Innovations in Education, Technology & Management" offers a comprehensive exploration of contemporary societal challenges and opportunities. Authored by scholars, it delves into various facets of social development and governance, examining both rural and urban landscapes. Notably, it highlights the importance of bridging the digital gender gap through inclusive education in rural areas. Case studies from India shed light on the socio-economic struggles of agricultural laborers, emphasizing the impact of health expenditures on impoverishment. Chapters dissect corporate governance in the banking sector and advocate for industry advancements aligned with environmental sustainability. Technology's transformative potential, particularly artificial intelligence, is explored, alongside strategies integrating education, technology, and governance for societal progress. Additionally, the book addresses the emerging issue of electronic waste management, proposing sustainable solutions tailored to the Indian context. Through insightful analyses and empirical studies, this book offers a roadmap for holistic societal development, emphasizing the interconnectedness of education, technology, and governance in fostering inclusive and sustainable societies.
Driver Drowsiness and Distraction Detection: An Image Processing-Based Comparative Analysis for Improved Accuracy
Authors: Dattatray G. Takale
Published: March 2024

This research presents a comprehensive examination and implementation of driver drowsiness, distraction, and detection systems utilizing advanced image processing techniques. The literature review encompasses an in-depth analysis of drowsiness, distraction, and detection parameters, presented in tabulated form. The proposed architecture is detailed through flow charts outlining both software and hardware components. A comparative analysis of key parameters, along with their corresponding accuracy percentages, is provided in a structured table. The findings demonstrate that the proposed system exhibits superior accuracy compared to existing results. Through practical implementation, the system proves effective in accurately detecting driver sleepiness, classifying states as Sleepy, Drowsy, or Active. Notably, the proposed work achieves high accuracy, with eye detection accuracy at 98% and drowsiness accuracy at 96%, showcasing an improvement of approximately 10% when compared to existing solutions.
Cytopathological study of pleural effusion in SARS-CoV2 RTPCR positive subjects during pandemic at tertiary care hospital
Authors: T. Advani Sonali , P. Javalgi Anita , G. Shettar Vishwanath
Published: March 2024

Introduction and Aim: Respiratory system is the most common system affected by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Review of literature reveals that pleural effusion were seen in one third of cases with Middle East Respiratory Syndrome(MERS) but were rarely reported in SARS –CoV2.This study aims to study the cytomorphological changes in Pleural effusion seen in SARS CoV-2 positive cases, to correlate the cytological findings with radiological CT COVID-19 Reporting and Data System(CORADS)scorings and to categorize pleural effusion as isolated cause of SARS CoV-2 or aggravation of underlying other etiologies.
 
Materials and Methods: Pleural fluid samples of SARS CoV-2 RT PCR positive cases, obtained from patients of all age groups were included in the study. The samples were predominantly from Covid19 wave 1 (March 2020- February 2021) and few from Covid wave 2(March 2021-April 2021). Biochemical analysis, hematological parameters, cytomorphology and associated comorbidity was recorded, and analysis done.
 
Results: Male predominance was observed. Most common cytological and biochemical finding in pleural fluid analysis was Exudative pleural effusion. Predominant cytological features showed lymphocytic effusion. Radiology showed maximum left sided pleural effusion (42%). CORADS score was 6 in majority of cases and effusion as an isolated cause was seen in few cases.
 
Conclusion: Pleural effusion is a rare finding in SARS COV-2 induced bronchopneumonia. Effusion is seen with a high CORADS score, and they carry a high risk of mortality. This study suggests having SARS CoV-2 infection as a differential diagnostic entity when we find the mentioned morphological and biochemical findings as discussed in the present study.
Tissue-free non-invasive diagnostic methodology for brain tumour: Present scenario and future direction
Authors: Ghosh Anirban , Chaudhuri Shubhamitra
Published: March 2024

Intracranial neoplasia is characterized by their various forms and functions including gliomas which are hard to detect properly, monitor and treat in any therapeutic regime. Present day MRI based techniques act efficiently to detect and acquire the spatial information but fall apart to gather sufficient biological attributes of the lesion to monitor and treat accordingly. In contrast, invasive biopsy is difficult within the cranium and poses a serious threat to lead metastasis. Therefore, a prominent parallel initiative has been undertaken throughout the global community to find out potential diagnostic protocols to diagnose and monitor brain tumour in a non-invasive way. Like other cancers, liquid biopsy by obtaining cellular and molecular components from the brain tumour, either from fluid-filled CNS ventricles or CSF, or leaching out into the peripheral biofluids are under constant scrutiny for finding out different molecular signatures of neoplastic growth applying innovative biomedical methodologies and instrumentations. At the same time, a new domain of research applying computer aided methods of image analysis has opened up to assist the process more potently. In this short review, we tried to show the glimpses of these newer areas and approaches of brain tumour diagnosis which may revolutionize the future of brain tumour diagnosis. Also, we hint at some potential routes to acquire biomolecular information on the brain and how higher order integration of data processing from biological and radiological fronts may be the future of these diagnostics.
A cross sectional study to assess the elevation in glucose regulated protein 78 levels in severe acute respiratory syndrome Coronavirus 2 infected patients and its correlation with metabolic conditions, severity, complications
Authors: D’Souza Deepthi , Bhandary Roopa , Kiran Reshma , K. Pavithra , Sushith
Published: March 2024

Introduction and Aim: COVID-19 pandemic has posed an exceptional challenge worldwide. Research encompassing newer diagnostic tests, targeted therapy has become the need of the hour. The objective of this work is to evaluate the levels of Glucose regulated protein 78 (GRP78) an Endoplasmic Reticulum stress (ERS) protein in Severe acute respiratory syndrome coronavirus -2 (SARS -CoV-2) infected patients.
 
Materials and Methods: We carried out a cross-sectional investigation at the hospital, with three distinct groups: SARS-CoV-2-positive patients with metabolic syndrome (Group A), SARS-CoV-2-positive patients without metabolic abnormalities (Group B), and healthy volunteers (Group C). Enzyme linked immunosorbent assay (ELISA) method was used to estimate the serum levels of GRP78.
 
Results: Our results showed that serum GRP78 levels were elevated in patients with SARS-CoV-2 infections. Furthermore, it could be demonstrated that Group A had considerably higher serum GRP78 levels than Groups B and C suggesting an elevated GRP78 levels in COVID-19 patients with metabolic syndrome These findings highlight the clinical importance of GRP78 in COVID-19 and its utility as a marker for severity of the illness.
 
Conclusion: This work compares the trend of serum GRP78 levels in SARS-CoV-2 patients with and without metabolic conditions as compared to the control group. This finding encourages more research on GRP78 to aid the development of targeted therapeutic and prophylactic interventions to combat COVID-19 infection.
A study on the prevalence and risk factors of coronary artery disease in patients with metabolic syndrome infected and not infected with COVID 19 from El- Oued (Algeria) region
Authors: Hammadi Maroua , Derouiche Samir
Published: March 2024

Introduction and Aim: Coronary artery disease (CAD) is a pathological process described by atherosclerosis plaque in the epicardial arteries. CAD is a chronic process that begins during adolescence and slowly progresses through life. Several traditional risk factors genetics and environmental, involve in the development of atherosclerosis process. This study was aimed to investigate the prevalence of CAD and its associated risk factors among the El Oued (Algeria) population.
 
Materials and Methods: An epidemiological study was carried out on 23422 patients who suffered from cardiovascular diseases. The study of risk factors analysis was focused on 300 voluntary individuals, their origins from different El-Oued areas, and the CAD and metabolic syndrome patients selected from public and private health interests. All the information was obtained by a questionnaire.  The risk of socio-clinical factors has been estimated by Binary Logistic regression was carried out between CVD and its associated risk factors. P < 0.05 from two-sided statistical tests was regarded as statistically significant.
 
Results:  Through the results presented in our study, we found that the clinical factors such as hypertension (OR=154.846, and; P =0.000), the group aged> 60  (OR=154.84, and; P =0.000 and chest pain (OR=42.667, and; P =0.000), present significant risk factors with CAD patients compared to healthy people (control), respectively, in contrast we show that the most dangerous Socioeconomic factors alcohol consumption and stress respectively for (OR=13.500= and; P =0.001), and obesity (OR=4.495= and; P =0.000),  but we estimate that sport is important protective factors for the disease with   OR=52.6, P 0.500) in the CAD patients compared to metabolic syndrome patients.
 
Conclusion:  The increasing prevalence of risk factors for coronary artery disease among the population has raised concerns for public health, which creates a health threat, especially with inadequate promotion and awareness programs.
Plant based meat products: A sustainable, promising alternative to conventional red meat
Authors: Bala Singh Shashi , Patil Ravishankar , Kiran Jadhav Viraj
Published: March 2024

The demand of the red meat is continuously increasing leading to biodiversity damage and pollution. To overcome this, plant-based meat offers a promising option due to its organoleptic qualities that resembles closely to those of an animal-based meat product. There are a variety of plant protein sources that can be used as an alternative to meat products. Plant-based diets are affordable and have several health benefits like it regulates blood pressure, diabetes, cardiovascular disease risk and lower mortality. The popularity of plant-based meat substitutes has increased because of their credibility as functional and healthy alternatives. In addition to providing a similar nutritional value, the creation of animal meat analogues is focused on altering the physical features of meat products to increase the sustainability of these products through appropriate sensory attributes. The composition of meat alternatives is influenced by the dosage and functioning of plant proteins. It is proven that meat alternatives contain 30% of protein and a low level of fat which is a fantastic substitute for meat from a nutritional standpoint. The physicochemical characteristics of the meat alternatives are manipulated by functional plant protein. In the present review, we have discussed various types of plant-based meats available, their physicochemical properties, environmental impact of animal-based meat and future prospective to increase demand and business of plant-based meat.
Highway underpasses offer little fragmentation relief for desert bighorn sheep near Mojave National Preserve, CA
Authors: Aiello Christina M. , Galloway Nathan L. , Fratella Kristin , Prentice Paige R. , Darby Neal W. , Hughson Debra L. , Epps Clinton W.
Published: March 2024

To improve wildlife connectivity across the U.S., managers need to identify and prioritize movement barriers in need of mitigation. Roadway barriers may be semi-permeable and allow some movement either at-grade or via non-wildlife underpasses, but permeability can depend on species-specific behaviors and underpass characteristics. We used a combination of trail cameras and GPS collars to monitor desert bighorn (Ovis canadensis nelsoni) movement near highways and use of non-wildlife underpasses along I-15 and I-40 near Mojave National Preserve, CA. After year 1, we installed guzzlers near target underpasses in a before-after-control-impact (BACI) framework to assess changes in desert bighorn detection over 2 years post-installation. GPS collar data confirmed that desert bighorn moved close enough to 10 of 11 focal underpasses to easily access and use these structures to cross I-15 and I-40. Trail cameras at five sites recorded desert bighorn using habitat very near underpasses and even resting in a culvert tunnel, but no data indicated desert bighorn used underpasses or culverts to cross either highway. Meanwhile, species including coyote (Canis latrans), bobcat (Lynx rufus), and feral burro (Equus asinus) regularly used monitored underpasses. Adding a novel water resource did not significantly increase desert bighorn detection rate on underpass cameras at impact sites relative to control sites after 2 years, and no images suggested bighorn used the installed guzzlers. Patterns of desert bighorn habitat use in the region and lack of observed highway crossings during the study indicate generally low permeability of I-15 and I-40 for this species and a mismatch between non-wildlife underpass locations, design, and desert bighorn behavior.