bluuebunny/crossref_metadata_2025 huggingface dataset:
Job Involvement of Nurses in a Selected Hospital – A Case Study
Authors: Raghu Suneetha , D Souza Linus Benedicta
Published: February 2024

Purpose: Nurses play a significant role in health-care environments by direct patient’s care, collaborating with other health-care workers, and ensuring that the facility runs efficiently. A study on Assessing the Nurses Job Involvement at a Specific Hospital may have a variety of goals, including addressing issues with nursing practice, patient care, health-care administration, and overall hospital performance. This study information can be used to identify possible inefficiencies and regions of high demand, improving patient care and workforce management.
Design/Methodology/Approach: The research analysis was done by using descriptive statistics analysis and there are 40 nurses responded in the chosen hospital. Simple random sampling technique was adopted. All Nurses employed by hospital was included among the respondents. Internally validated and data was gathered by utilizing 5- point Likert scale. Frequency and Percentage was calculated to analyse the Nurses Job involvement.
Inclusion Criteria: The nurses who agreed to take part in this study are included.
Exclusion Criteria: A nurse who refuses to participate, absent, or takes a prolonged leave of absence during the data collection will be excluded.
Finding/Result: Originality/Value: Nurse's involvement with their job were identified in a positive manner such as comfortable in performing, job satisfaction, pre occupied and prioritize of their job, utilization of leaves, completing the responsibilities at their working place. From the study nurses' involvement in their job was analysed by using both the frequencies and percentages. The majority of the nurses have positive opinions about their job.
Paper Type: Case Study
Banhar-se em águas limpas sem mudar a essência: uma perspectiva sobre antropologia
Authors: Muchisse Itélio Joana
Published: February 2024

Este artigo tem como título Banhar-se em Águas Limpas sem mudar a essência: uma perspectiva sobre antropologia. No mesmo pretende-se uma abordagem sobre as potencialidades da antropologia, enquanto estudo ou elóquio do ser humano, na África contemporânea, isto é, como esta disciplina pode, efectivamente, contribuir para o estudo do ser humano nas diversas perspectivas, pois este homem está acometido em um subdesenvolvimento programado, ademais um empobrecimento por consequência da cobiça ou necessidade de espoliação destas economias que, numa direcção orientada, na verdade, poderiam se desenvolver e se transformar em grandes centros do mundo neoliberal. Assim, existe a necessidade de se formar um ser humano responsável para com a sua cultura, no sentido de abrir um debate multissectorial e multicultural, de uma forma permanente, de modo a revelar a sua condição e as suas potencialidades. Este antropólogo, quiçá cientista, deve conseguir incentivar a ré-apropriação do conhecimento de modo a responder os desafios locais. A metodologia é baseada na revisão bibliográfica e na hermenêutica.
Por uma corporalidade da escrita e do fazer etnográfico: a construção da subjetividade em terapias holísticas
Authors: Dias da Silva Cristina
Published: February 2024

a proposta deste trabalho é discutir um conjunto de experiências terapêuticas, realizado durante trabalho de campo na cidade de Lisboa, na qual a forma de coletar e interpretar os dados esteve intrinsecamente relacionada a mudanças no corpo/corporalidade da pesquisadora. As transformações do corpo físico/mental e o desenvolvimento de narrativas oníricas se entrelaçam à construção da noção de consciência corporal típica das terapias holísticas que se tornaram famosas no ocidente a partir das décadas de 1970 e 1980. O artigo argumenta que este conceito seria interessante para relacionar estados emocionais-intelectuais a estados físicos enquanto uma forma de linguagem articulada e explicitada em termos etnográficos. Assim, a noção de bem-estar e/ou bem-viver se apresenta, antes, como um conjunto de habilidades a serem apreendidas, experimentadas e exercitadas do que como mera predisposição de sujeitos “sensíveis”.
Um feitiço sem farofa e sem vela: a insegurança alimentar como analisadora da clínica psicossocial
Authors: Valença Coutinho Chenya , De Freitas Faria de Vasconcelos Michele , De Melo Arraes Amorim Ana Karenina
Published: February 2024

Este recorte de pesquisa convida a ouvir ecos do oco da fome, entendendo-a como questão urgente de saúde mental, agravada na pandemia da COVID-19. Ao costurar dados de gestão da Rede de Atenção Psicossocial do município de Aracaju (SE), trechos de músicas e memórias do chão dos serviços, cultivamos um modo de ver e de intervir, realizando uma escrita como arte de (re)existência, perguntamos: pode-se produzir saúde mental coletiva sem olhar no olho da fome? Que encantarias na clínica psicossocial podem desencaminhar as fomes de alimento e de expansão da vida?
Entre atos, performances e identidades: a produção de modos de vida em dissidências em uma Penitenciária de Segurança Média do Espirito Santo
Authors: Pinto Valim Ramon , Rodrigues Alexsandro , Figueiredo Louzada Ana Paula
Published: February 2024

Este artigo apresenta alguns elementos de uma narrativa de intervenção na unidade prisional capixaba exclusiva para o aprisionamento da população LGBTQIA+. O texto, discorre sobre alguns elementos desse processo, reportando-os a alguns conceitos operantes apresentados principalmente por Michael Foucault e Judith Butler. Propõe-se evidenciar a vivência LGBTQIA+ em interface com os aparelhos tecnológicos de punição e sujeição, atravessados principalmente pelo elemento da sexualidade e pela perfomatividade de gênero, sendo esse ou um dispositivo de sujeição, ou de resistência.
Silêncios que assombram: encantamentos de dois corpos nos limiares da cidade
Authors: Ribeiro Elton Silva , Batista Lázaro , Baptista Luis Antonio dos Santos
Published: February 2024

Este artigo ensaia um encontro inusitado entre personagens infames de distintas urbes brasileiras. Trata-se de uma fabulação de encantados, cujas existências acreditamos que desafiam e assombram a eficácia do planejamento de cidades que se querem modelos. Pela narração de suas histórias, não se pretende incidir mais luz sobre seus corpos, mas sustentar que – em espaços inconclusos onde o silêncio habita – torna-se possível ouvir o murmúrio da vida que se politiza sem recorrer ao alarde.
“Para nós foi feitiço, para vocês foi diabetes”: a feitiçaria no Guaporé contra a “feitiçaria capitalista”
Authors: Duarte Castro Breno
Published: February 2024

O presente artigo tem como objetivo pensar a feitiçaria a partir de um trabalho etnográfico realizado no Guaporé com o povo Makurap, de língua Tupi-Tupari. A partir das formas como o tema da feitiçaria aparece nessa região, seja como acusação entre parentes, seja como um modo de predação da jiboia, pretende-se um exercício comparativo com aquilo que Stengers e Pignarre chamam de “feitiçaria capitalista” a partir de um contraste de como operam a feitiçaria Makurap no Guaporé e o fetichismo da mercadoria tal como exposto por Marx.
Gingar nas Encruzilhadas: a Nação Zambêracatu (re) encantando a cidade de bits e tijolos
Authors: Barbosa da Rocha Matheus , Nobre Maria Teresa
Published: February 2024

Resumo: Esse texto tem como força motriz acompanhar as imbricações entre a Nação Zambêracatu, o Maracatu da cidade de Natal, no Rio Grande do Norte, e a urbe, seja ela “de asfaltos e tijolos” ou midiatizada. Por meio de uma experiência etnográfica, transcorrida entre 2020-2022, apostamos no “gingar nas encruzilhadas” como ferramenta para esmiuçar os usos e (re) apropriações do espaço citadino por parte deste coletivo, de modo particular, as suas práticas miúdas, malandras e marginais que golpeiam os adversários através de malabarismos estéticos e inventivos.
Refúgios, ressurgências e entre-possessões da atenção com o Maracatu de baque virado
Authors: Avillez Mariana , Kastrup Virgínia
Published: February 2024

O objetivo do presente estudo é analisar a manifestação do maracatu de baque virado a partir dos estudos da atenção, considerando a dimensão coletiva e ecológica dos fenômenos atencionais. A partir de um percurso cartográfico como método de pesquisa-intervenção com o campo do maracatu – território de pesquisa habitado por uma das autoras na posição de pesquisadora-batuqueira –, analisamos algumas qualidades da atenção pensadas a partir das noções de refúgio, ressurgência e entre-possessão. Como conclusão, sugerimos que o exercício dessas diferentes qualidades atencionais são tecnologias contrafeiticeiras frente às operações de expropriação características do capitalismo-colonial.
O mundo onírico e o fetiche do consumo: dimensões simbólicas e dispositivos culturais do capitalismo
Authors: Briglia Canuto Rogéria , Briglia Canuto Gláucia , Pinto Roque
Published: February 2024

Este artigo aborda as dinâmicas materiais e culturais do capitalismo na constituição da dimensão simbólica do consumo atual. Ao explorar o conceito de fetiche e o Efeito Diderot delineamos como a publicidade atua no processo de produção de orientações culturais de consumo por meio da diferenciação e designação de significados culturais e identitários.
Por uma docência menor: escritas e escritos na produção de um lugar chamado “professor”
Authors: Dias Pedrini Mateus , Barros de Barros Maria Elizabeth
Published: February 2024

O presente artigo busca conhecer o ofício docente como um processo ativo capaz de criar caminhos para a compreensão do que se passa na experiencia de professoras e professores e das inventividades que vão além de conteúdos pré-estabelecidos, formações pedagógicas ou currículos esperados. Trata-se de docência menor acontecendo que, como na literatura menor pensada por Deleuze e Guatarri (2003), é política e seu valor se faz no que está pulsando nas forças e tensões do coletivo. Como no monstruoso inseto em que se transforma Gregor Samsa na novela de Kafka, é preciso conhecer esse estranho ser que docentes se transformam ao entrarem em sala de aula, esse precário que toma espaço nesse lugar menor ocupado pelo chamado “professor”. Dessa forma, é na escrita que é possível conhecer como são produzidas docências, já que os impasses podem ser feitos, pensados, discutidos, reterritorializados a partir dessa produção. O convite, portanto, é para criação de histórias bonitas, possíveis, pensantes e reflexivas a partir de uma docência menor...
No auditório com Georges Canguilhem: o que é a Psicologia?
Authors: Madeira Brito Janaina , Barros de Barros Maria Elizabeth
Published: February 2024

O artigo apresenta um debate feito por Georges Canguilhem no ensaio O que é a Psicologia? quando indica a (im) possibilidade de uma unificação entre psicologias que carregam diferentes ideias de homem, de formação, de cognição, desenvolvimento, saúde, socialização... Dirige-se para um debate sobre as particularidades da Psicologia como um campo epistêmico autônomo. O argumento foi encontrar no autor uma oportunidade para uma política da lembrança, que já se sabe perene. Traz essa clássica obra de Georges Canguilhem reconhecendo que a lembrança de um texto e o labor que imprime é ato de resistência numa sociedade que subtrai, sob o efeito da educação de massa, as chances de arriscar, fracassar, experimentar projetos onde a imaginação comparece em força. O artigo exercita ressonâncias imprevisíveis do evento passado, no hoje, marcado de aberturas.
Contracolonialismo digital como método psicanalítico: conversações, escrevivências e mídias populares
Authors: Mollica Mariana , Bispo Fábio
Published: February 2024

Este artigo discute o enfrentamento da necropolítica e do colonialismo digital a partir de um uso contracolonial das mídias populares. Apresentamos a experiência do Portal Favelas na construção de uma rede de comunicação popular como forma de se contrapor à violência de Estado. Articulamos a noção de testemunho com uma leitura psicanalítica de políticas de reparação, tecendo uma proposta metodológica que utiliza conversações psicanalíticas e escrevivências como forma de amplificar vozes silenciadas e transmitir experiências insurgentes através de mídias comunitárias.
Feitiços e Contrafeitiços da Atenção Coletiva: Bibliotecas Comunitárias e seus Dispositivos Atencionais para a Coemergência de Mundos
Authors: Casal Celvio Derbi , Maraschin Cleci
Published: February 2024

O texto discute a atenção coletiva, a partir da Ecologia da Atenção, como dimensão de produção de regimes atencionais que enfeitiçam os mundos, condicionando a percepção, a experiência e as histórias que contamos para habitá-los. Acompanhando os modos de constituição das atividades técnicas de formação e organização de acervos de bibliotecas, localizamos feitiços que modulam a experiência de quem as frequenta em torno de modos hegemônicos de prestar atenção, promovendo o apagamento da diversidade de conhecimentos e de mundos localizados e corporificados. Apresentamos modos de funcionamento de bibliotecas comunitárias como contrafeitiços atencionais, capazes de promover a re-existência de mundos marginalizados e a heterogeneidade das relações entre bibliotecas e comunidades.
Feitiços e fetiches: entre encantamentos ásperos e contraencantamentos belos
Authors: Hausen Mizoguchi Danichi , Santana Ferreira Marcelo
Published: February 2024

O presente artigo toma como plano analítico a dimensão de encantamento do fascismo, do racismo e do capitalismo. Entre feitiços e fetiches, trata de atravessar o aspecto quase mágico destas experiências econômicas e políticas que, de algum modo, insistem em habitar nosso espaço-tempo. Todavia, diante da aspereza deste maquinário, busca também insinuar a presença de outros feitiços - contraencantamentos belos que nos fazem apostar em mundos e vidas outras.
Comparative Analysis of Machine Learning Algorithms for Investigating Myocardial Infarction Complications
Authors: Satty Ali , Salih Mohyaldein M. Y. , Hassaballa Abaker A. , Gumma Elzain A. E. , Abdallah Ahmed , Mohamed Khamis Gamal Saad
Published: February 2024

Myocardial Infarction (MI) is a condition often leading to death. It arises from inadequate blood flow to the heart, therefore, the classification of MI complications contributing to lethal outcomes is essential to save lives. Machine learning algorithms provide solutions to support the categorization of the MI complication attributes and predict lethal results. This paper compares various machine learning algorithms to classify myocardial infarction complications and to predict fatal consequences. The considered algorithms are Multilayer Perceptron (MLP), Naive Bayes (NB), and Decision Tree (DT). The main objective of this paper is to compare these algorithms in two scenarios: initially using the full dataset once and then using the dataset again, after implementing the WEKA attribute selection algorithm. To accomplish this goal, data from the Krasnoyarsk Interdistrict Clinical Hospital were employed. Results in general revealed that the MLP classifier demonstrated optimal performance regarding the full MI data, whereas the DT classifier emerged as more favorable when the dataset sample size was diminished through an attribute selection algorithm.
GPU Shader Analysis and Power Optimization Model
Authors: Konnurmath Guruprasad , Chickerur Satyadhyan
Published: February 2024

With the rapid advancements in 3D game technology, workload characterization has become crucial for each new generation of games. The increased complexity of scenes in 3D games allows for stunning real-time visual quality. However, handling such workloads results in significant power consumption over the GPU rendering pipeline. The focus of the current paper is low power optimization, targeting texture memory, geometry engine, pixel, and rasterization, as these components are significant contributors to the power consumption of a typical GPU. The proposed methodology integrates the Dynamic Voltage Frequency Scaling (DVFS) technique, adjusting voltage and frequency based on the workload analysis of frame rates with respect to the scenes of 3D games. Frame rates of 60 fps and 30 fps are set up to understand and manage the workload on frames. Furthermore, for comparative analysis, various frame-level power analysis schemes such as No DVFS implemented, Frame History Method, Frame Signature Method, and Tiled History-based are introduced. The proposed scheme consistently surpasses these frame-level schemes, with fewer missed deadlines, while having the lowest energy consumption per frame rate. The implementation resulted in a remarkable 65% improvement in quality, indicated by a reduction in deadline misses, along with a substantial 60% energy saving.
Prediction of SACCOS Failure in Tanzania using Machine Learning Models
Authors: Magashi Cosmas H. , Agbinya Johnson , Sam Anael , Mbelwa Jimmy
Published: February 2024

Savings and Credit Co-Operative Societies (SACCOS) are seen as viable opportunities to promote financial inclusion and overall socioeconomic development. Despite the positive outlook for socioeconomic progress, recent observations have highlighted instances of SACCOS failures. For example, the number of SACCOS decreased from 4,177 in 2018 to 3,714 in 2019, and the value of shares held by SACCOS members in Tanzania dropped from Tshs 57.06 billion to 53.63 billion in 2018. In particular, there is limited focus on predicting SACCOS failures in Tanzania using predictive models. In this study, data were collected using a questionnaire from 880 members of SACCOS, using a stratified random sampling technique. The collected data was analyzed using machine learning models, including Random Forest (RF), Logistic Regression (LR), K Nearest Neighbors (KNN), and Support Vector Machine (SVM). The results showed that RF was the most effective model to classify and predict failures, followed by LR and KNN, while the results of SVM were not satisfactory. The findings show that RF is the most suitable model to predict SACCOS failures in Tanzania, challenging the common use of regression models in microfinance institutions. Consequently, the RF model could be considered when formulating policies related to SACCOS performance evaluation.
The Daltons of Kildalton: a Norman-Irish gentry family, Part I
Authors:   Fitzpatrick Clan Society, Fitzpatrick Mike
Published: February 2024

The Daltons of Kildalton (Cill an Dátúnaigh), a townland less than one mile north of the River Suir and the Co. Waterford (Port Láirge) border, are a well-known family with a rich and colourful history that has been documented back to fourteenth-century southern Co. Kilkenny (Cill Chainnigh). Such was the status of the family, who had Kilmodalla (Cill Modhallá) as one of their major bases from the fifteenth century, that by the sixteenth century the town had undergone a name change to Kildalton, forever embedding their patronymic in that place, and other areas nearby. Part I of ‘The Daltons of Kildalton: a Norman-Irish gentry family’, focusses on the central family figure of the late thirteen-century, Richard de Antōn, who was Sheriff of Waterford between 1291 and 1293. Richard was almost certainly the forebear of the Daltons of Kildalton, and he first established their place in Co. Kilkenny. Richard’s origins intrigue, as does his surname, but his place among the Irish gentry of the thirteenth century unequivocally connects him to families of high status and power, who came to Ireland (Éire) at the time of the Norman invasions. Y-DNA analysis of ancestors of the Daltons of Kildalton is distinct and also intrigues. Yet, much sense can be made of a common direct paternal genetic ancestry, ca. 1100 AD, with those of Branan-like surnames, whose ancestors also arrived in Ireland among the Norman gentry class.
An Exploration to Age-old Wisdom – A Book Review on Geriatrics in Ayurveda
Authors: Priya N K , Binitha A , Jigeesh P P
Published: February 2024

“Geriatrics in Ayurveda” is authored by experts from both the fields of Ayurveda and modern medicine, seamlessly  blending anecdotes from both medical systems. Geriatrics is Emerging as a challenging speciality, because of ever  growing population of Aged people all over the world including India. In near Future, Every physician has to “treat’  a large Number of Aging Problems of our Ripe and Senior citizens in their CLINICS. Ayurveda system of Medicine  (ASM) offers an Excellent Line of Management for these i.e. Aging problems under Rasayana and ‘Rasa’ therapies. In  fact ‘Jara’ is an exclusive therapy for old-age related complaints. Keeping all these concepts in view, a systematic search  to gather the relevant and useful information on “Geriatrics in Ayurveda” has been attempted along with inputs from  (MODERN) Geriatrics, so as to have a comprehensive book on GERITRICS with Practical and clinical applications.The presented book was studied, analyzed, and compared with other contemporary works on a similar subject.
A Comparative Study on the Mediating Effects of Task Autonomy and Task Importance in the Relationship between Performance-based Organizational Culture and Job Satisfaction
Authors:   The Korean Career·Entrepreneurship & Business Association, Kim Sung-Mo , Park Nam-Tae
Published: February 2024

This study was intended to verify the Causality that the performance-based organizational culture of financial Companies affect on job satisfaction of sales workers, and to find out the mediating effect of task autonomy and task significance between the performance-based organizational culture of financial institutions and job satisfaction of sales workers. The subjects of this study are sales workers currently engaged in the financial industry, ranging in age from 20s to 50s, and sample data were collected from 184 people for 3 months from June 1, 2022. The collected data was analyzed using statistical programs of SPSS(Ver. 24.0) and AMOS(Ver. 24.0). The research results derived from this are as follows. First, it was found that the performance-based organizational culture of financial companies had a negative(-) effect on the job satisfaction of organizational members. Second, there was no mediating effect of task autonomy between the performance-based organizational culture of financial companies and the job satisfaction of sales workers. Third, it was found that task significance had a positive mediating effect between the performance-based organizational culture of financial companies and the job satisfaction of sales workers. As an academic implication of this study, the multi-mediating effect of task autonomy and task significance was simultaneously analyzed in the relationship between performance-based organizational culture and job satisfaction, and it was confirmed that there was no mediating effect of task autonomy, but there was mediating effect of task significance. As a practical implication of this study, first, financial companies should prepare measures to reduce excessive stress and job burnout among sales staff. Second, financial companies should improve their organizational structure and awareness of job importance so that sales staff can recognize the importance of their own duties. Third, to establish a performance-oriented organizational culture, job design that increases the autonomy of sales staff is necessary.
A Case Study on the Growth of Digital Healthcare Venture Neeuro through Open Innovation: From the Perspective of Entrepreneurial Competency Theory
Authors:   The Korean Career·Entrepreneurship & Business Association, Hwang Yubi , Sohn Youngwoo , Park Jaehong
Published: February 2024

Open innovation, characterized by the exchange of knowledge and resources with external entities, is increasingly influencing the landscape of digital healthcare. This research examines the case of Neeuro, a Singaporean venture capitalizing on open innovation strategies for its successful growth within the mental health technology domain. The 21st century has witnessed a rise in mental health concerns triggered by the pervasive nature of technology and an aging population grappling with age-related ailments. Recognizing this growing need, Neeuro has embraced open innovation to develop pioneering healthcare technology and medical devices aimed at improving mental well-being. Through the lens of entrepreneurial competency theory, our analysis identifies three key factors underpinning Neeuro's growth: (1)Technical Competency: Neeuro leveraged its technical expertise to create a differentiated technology platform, establishing itself as a leader in the field. (2)Funding Capability: The company's adept navigation of funding opportunities provided a crucial foundation for sustained growth. (3) Network Competency: Strategic alliances forged through robust network capabilities further fostered open innovation and accelerated Neeuro's progress. These findings highlight the central role of open innovation, facilitated by entrepreneurial competencies, in driving the expansion of venture companies. This research underscores the significance of open innovation in propelling the growth and success of digital healthcare ventures. Neeuro's case study serves as a powerful testament to the efficacy of open innovation strategies in the digital era, emphasizing the pivotal role of technological differentiation, strategic funding, and collaborative networks. It not only demonstrates the viability of open innovation for venture companies within the digital healthcare landscape but also suggests valuable directions for the medical device industry as it navigates the complexities of a progressively digitalized world.
Matching Skill Demand with Curricular Competencies Using Text Analytics: Focusing on data science majors and IT jobs
Authors:   The Korean Career·Entrepreneurship & Business Association, Cheon Byung You , Chang Jiyeun , Sim Jiwhan
Published: February 2024

The purpose of this study is to analyze the matching between job skill demands of industries and curriculum competencies provided by universities, focusing on data science majors, using textual data on online job postings and university curricula, and to provide useful implications for university curriculum program development and industry response. We collected curriculum texts and job posting texts from K-MOOCs, Job Korea, and PersonIn, derived and categorized competency and skill keywords, and calculated the cosine similarity between competencies and skills for analysis. The analysis shows that data science curriculum competencies are largely well matched to IT occupational skills and are in line with labor market occupational skill types. The “data security” and “market analysis” competencies have a high similarity to occupational skills, while the “statistical modeling” competency has a low similarity. In addition, the “database” and “manufacturing SI” skills have a high similarity to the curriculum competencies, suggesting that the university is doing a good job of meeting these skills. This study shows that analyzing the matching of competencies and skills based on textual data analysis can help universities adjust their curricula to meet the needs of the labor market, and has implications for analyzing industry skill needs, analyzing job mismatches, and linking education and industrial policies.
Appropriating Zoom to host and conduct writing center tutorials
Authors: Harwood Chris
Published: February 2024

This paper explores the technological affordances of using Zoom for pedagogical purposes in the context of one-to-one writing center tutorials. First, the theoretical pedagogical framework that informs writing center tutorials is explained and the salient mediating affordances of Zoom technology are outlined. Then, tutor and student qualitative feedback from the beta testing of a virtual writing center hosted in Zoom are presented and briefly discussed. The feedback suggests that Zoom has a range of technological affordances that can be employed by educators to host and conduct meaningful writing center tutorials in an undergraduate EMI context.
ChatGPT and language learning: University educators’ initial response
Authors: Ohashi Louise , Alm Antonie
Published: February 2024

This article examines the initial response of university-level language educators to ChatGPT, an AI chatbot, within the first ten weeks of its release. ChatGPT, which stands for 'Chat Generative Pre-trained Transformer’, is a conversational AI language model developed by OpenAI, a private artificial intelligence research organisation. A global survey collected data from 367 teachers of 16 languages. The results show strong awareness of ChatGPT among educators, but wide variation in experience and knowledge highlights the need for training and support. While use of ChatGPT was limited, particularly for pedagogical tasks, the majority of educators expressed interest in integrating it into their future teaching practice. In more concrete terms, more teachers indicated they were likely to use it to create language learning resources and recommend it for self-study than use it for managing assessment. In regards to the potential impact of ChatGPT on the field of education, educators showed a mixture of concern and optimism. While many agreed that it would increase the accessibility of language teaching and have a positive impact on self-study, even more had concerns about the potential for cheating and over-reliance, highlighting the importance of ethical guidelines. This research contributes to the understanding of the opportunities and challenges associated with ChatGPT in language education.
Enhancing university EFL students’ informal reasoning on the social scientific issues related to sustainable development goals by adopting a collaborative argumentation CALL environment
Authors: Wang Li-Jen
Published: February 2024

In the 21st century, educators need to develop students' argumentation skills for addressing Social Scientific Issues (SSIs). The Sustainable Development Goals (SDGs) proposed by the United Nations (UN) align well with SSIs argumentation. Informal reasoning plays a crucial role in this process, but existing research focuses mainly on individual learners and subjective opinions. Recently, the collaborative learning environment of Knowledge Forum has been highlighted as a potential enhancer of students' informal reasoning, but its effectiveness in language teaching remains understudied. Thus, this study examined a collaborative argumentation Computer Assisted Language Learning (CALL) environment to enhance informal reasoning skills of university English as a Foreign Language (EFL) students. The experimental group (n=25) utilized the collaborative argumentation CALL environment with Knowledge Forum, while the control group (n=30) used a conventional argumentation environment. The results showed that the experimental group outperformed the control group in informal reasoning quality, including counterarguments and rebuttals. These findings suggest that collaborative argumentation CALL environments may enhance EFL students' informal reasoning, providing valuable insights for educators seeking to improve students' informal reasoning skills.
A Rasch analysis validation of a survey on the use and beliefs of machine translation
Authors: Uehara Suwako
Published: February 2024

Many English as a Foreign Language (EFL) students use Machine Translation (MT) to a varying degree and studies on the students’ use and beliefs of MT are primarily conducted through surveys and interviews. It is important for educators to understand students’ use and beliefs related to MT, however, there are few studies in the Japanese setting, and none validated the surveys prior to implementation. The goal of this study was to validate a survey on MT to be used in the Japanese context. Considerations for validity are crucial when designing surveys for quantitative analysis. In this study, a 41-item Likert scale survey designed to understand students’ opinions of MT use and beliefs in the Japanese tertiary education system was piloted with 93 first-year EFL learners in an academic writing class. Subsets of items targeting use, volume of text, and degree of acceptability were validated and optimized using the Rasch analysis. Results showed that further work is required to increase items for subsets and to reoptimize the instrument.
App-assisted language revitalization: Insights from applied cognitive linguistics
Authors: Ringel Christina , Pohle Theresa
Published: February 2024

Current theoretical advances in applied linguistics have not yet found wide practical application in the field of language revitalization. In this paper, plans for an open source application for desktop computers and mobile devices for Indigenous language learning settings will be outlined. The app consists of building blocks inspired by cognitive linguistics and task-based language learning. Members of Indigenous language communities can use these to create exercises and assessment modules for their respective languages. In the paper, a mock-up with model exercises will be showcased to illustrate how certain aspects of the afore-mentioned theories can be applied. For example, vocabulary tasks are informed by insights from the analysis of collocations, connotations, frames, metaphors, prototypicality, and semantic relations.
Teacher training perspectives for virtual exchange: Initial actions from the E-LIVE European project
Authors: Wigham Ciara R. , Jauregi-Ondarra Kristi
Published: February 2024

The E-LIVE project (Engaging Languages in Intercultural Virtual Exchange) is a three-year project funded by Erasmus+ Cooperation partnerships in school education (KA220-SCH). In this short paper, we report on two of the project’s initial teacher training actions. Firstly, a training needs analysis conducted via questionnaire and focus groups with 39 in-service L2 teachers from associate partner schools (nine primary and 30 secondary). We report on felt needs and anticipated training needs and three key project actions that the needs analysis informed: teacher voices workshops, expert webinars, and virtual exchange coaching. Secondly, we describe a virtual exchange conducted between trainee teachers enrolled in French, Dutch, and Colombian teacher training institutions. The pedagogical design of the virtual exchange is detailed and two of the final task productions showcased. Post-virtual exchange questionnaire and focus group data allow us to report on the trainee teachers’ perceptions of the virtual exchange activities. The paper concludes with a discussion of how to ensure the success of future virtual exchange initiatives based on the analysis of the questionnaire and focus group data.
Persian FLAIR: grammatically intelligent web search for language learning
Authors: Reynolds Robert , Bartholomeusz Evan
Published: February 2024

We describe our work on the development of a new Persian module for FLAIR, a Java-based grammatically intelligent web search engine (Chinkina et al., 2016; Chinkina & Meurers, 2016). This website allows Persian teachers and Persian language learners to search for texts about any desired topic, prioritizing documents that are rich in selected grammatical constructions, and filtering them based on text difficulty. Currently, the Persian module includes 56 unique grammatical constructions. Our Persian FLAIR module allows for a more self-guided approach to language learning and provides a level of flexibility to both language learners and teachers. Students are able to read accessible texts that interest them, while teachers are able to find real world examples of grammatical concepts used together in the same text. FLAIR can be used to create custom learning materials. Teachers can use FLAIR to search for texts containing particular grammar concepts being focused on in the classroom, which can then be used as relevant topics of discussion or reading. We developed FLAIR in a response to the limited availability of resources for learning and teaching Persian, particularly when it comes to its colloquial forms. With FLAIR, we hope to provide a valuable tool for students and teachers alike.
Complementary and Alternative Medicine for People with Epilepsy: Opinions of Physicians in Oman
Authors: Al-Asmi Abdullah , Al Sabahi Fatema , Al-Adawi Samir , Al-Yaqoubi Intisar , Jaju Sanjay , Chan Moon Fai , Al-Abri Haifa , Al-Anqoodi Zahir , Asadi-Pooya Ali A.
Published: February 2024

Objectives:Several studies have explored the opinions of healthcare workers on the use of complementary and alternative medicine (CAM) in epilepsy treatment. We sought to survey the views of non-neurologist and non-psychiatrist physicians in Oman on the use of CAM for epilepsy. Methods: We used convenience sampling to recruit physicians (except neurologists and psychiatrists) from all 11 governorates of Oman. The online questionnaire was open to physicians from 5 January 2022 to 15 February 2023. This study collected anonymous data on their demographics, discipline, work settings, geographical area, and years of practice. Additionally, participants were asked to answer questions about their perception of CAM use and its effectiveness in treating epilepsy. Results: A total of 190 physicians participated, of whom 69.5% were men. Respondents were mostly 36 to 45 years old (51.1%). The majority (52.1%) were general practitioners, 21.1% were internists, 17.9% were pediatricians, and 8.9% were family physicians. Most participants (n = 144; 75.8%) believed that CAM may help treat patients with epilepsy (PWE). The most common therapies that participants considered helpful were meditation (46.0%), prayers (44.7%), yoga (32.6%), and exercise (31.1%). Conclusions: While the evidence supporting the use of CAM for the treatment of epilepsy is scarce, this survey showed that most physicians (non-neurologists and non-psychiatrists), who manage PWE in Oman, believed that some CAM modalities would help treat epilepsy. Well-designed controlled trials are needed to provide reliable evidence on the usefulness of CAM options in PWE.
On Increasing of Density of Elements of Double Boost DC-DC Converter. Influence of Mismatch-Induced Stress and Porosity of Materials on the Technological Process
Authors: Pankratov E.L
Published: February 2024

In this paper we introduce an approach to increase density of field-effect heterotransistors and heterodiodes in the framework of double boost DC-DC converter. In the framework of the approach we consider manufacturing the inverter in hetero structure with specific configuration. Several required areas of the heterostructure should be doped by diffusion or ion implantation. After that dopant and radiation defects should by annealed in the framework of the optimized scheme. We also consider an approach to decrease value of mismatch-induced stress in the considered heterostructure. We introduce an analytical approach to analyze mass and heat transport in heterostructures during manufacturing of integrated circuits with account mismatch-induced stress.
Imbalanced Dataset Effect on CNN-Based Classifier Performance for Face Recognition
Authors: Najeeb Miftah Asharaf , Alariyibi Alhaam
Published: February 2024

Facial Recognition is integral to numerous modern applications, such as security systems, social media platforms, and augmented reality apps. The success of these systems heavily depends on the performance of the Face Recognition models they use, specifically Convolutional Neural Networks (CNNs). However, many real-world classification tasks encounter imbalanced datasets, with some classes significantly underrepresented. Face Recognition models that do not address this class imbalance tend to exhibit poor performance, especially in tasks involving a wide range of faces to identify (multi-class problems). This research examines how class imbalance in datasets impacts the creation of neural network classifiers for Facial Recognition. Initially, we crafted a Convolutional Neural Network model for facial recognition, integrating hybrid resampling methods (oversampling and under-sampling) to address dataset imbalances. In addition, augmentation techniques were implemented to enhance generalization capabilities and overall performance. Through comprehensive experimentation, we assess the influence of imbalanced datasets on the performance of the CNN-based classifier. Using Pins face data, we conducted an empirical study, evaluating conclusions based on accuracy, precision, recall, and F1-score measurements. A comparative analysis demonstrates that the performance of the proposed Convolutional Neural Network classifier diminishes in the presence of dataset class imbalances. Conversely, the proposed system, utilizing data resampling techniques, notably enhances classification performance for imbalanced datasets. This study underscores the efficacy of data resampling approaches in augmenting the performance of Face Recognition models, presenting prospects for more dependable and efficient future systems.
Review of AI Maturity Models in Automotive SME Manufacturing
Authors: Salian Dharmender
Published: February 2024

This study reviews studies on Artificial Intelligence (AI) maturity models (MM) in automotive manufacturing. To stay competitive, SMEs in the automotive industry need to embrace digitalization. SMEs employ a large segment of the USA's workforce. The benefits of operational efficiency, quality improvement, cost reduction, and innovative culture have made SMEs more aggressive about digitalization. Digitalizing operations with Artificial Intelligence are on the rise. In this paper, AI applications in SMEs are examined through the lens of an AI maturity model.
Passive Sonar Detection and Classification Based on Demon-Lofar Analysis and Neural Network Algorithms
Authors: Jamal Said , Lakziz Jawad , Benremdane Yahya , Ouaskit Said
Published: February 2024

This paper focuses on an experimental study that used passive sonar sensors as the primary information source for the submerged target in order to identify, classify, and recognize naval targets. Surface vessels and submarine generate a specific sound either by propulsion systems, auxiliary equipment or blades of their propellers, producing information known as the "acoustic signature" that is unique to each type of target. Consequently, the analysis and classification of targets depend on the processing of the frequencies produced by these vibrations (sound). utilizing the TPWS (Two-Pass-Split Windows) filter, this work aims to develop a novel technique for target identification and classification utilizing passive sonars. This technique involves processing the target's signal in the time-frequency domain. subsequently, in order to improve the frequency lines of the target noise and decrease the background noise, a TPSW algorithm is implemented in the frequency domain. By integrating narrowband and broadband analysis as inputs of an artificial intelligence model that can classify a target into one of the categories given in the training phase, the target has finally been classified. Our findings demonstrated that the suggested approach is dependent upon the size of the target noise data collection and the noise-to-effective-signal ratio.
An Improved mT5 Model for Chinese Text Summary Generation
Authors: Ren Fuping , Chen Jian , Zhang Defu
Published: February 2024

Complicated policy texts require a lot of effort to read, so there is a need for intelligent interpretation of Chinese policies. To better solve the Chinese Text Summarization task, this paper utilized the mT5 model as the core framework and initial weights. Additionally, In addition, this paper reduced the model size through parameter clipping, used the Gap Sentence Generation (GSG) method as unsupervised method, and improved the Chinese tokenizer. After training on a meticulously processed 30GB Chinese training corpus, the paper developed the enhanced mT5-GSG model. Then, when fine-tuning the Chinese Policy text, this paper chose the idea of “Dropout Twice”, and innovatively combined the probability distribution of the two Dropouts through the Wasserstein distance. Experimental results indicate that the proposed model achieved Rouge-1, Rouge-2, and Rouge-L scores of 56.13%, 45.76%, and 56.41% respectively on the Chinese policy text summarization dataset.
Design and Implementation of Low-Cost Electric Vehicles (EVs) Supercharger: A Comprehensive Review
Authors: Rahman Md Khaledur , Tanvir Faysal Amin , Islam Md Saiful , Ahsan Md Shameem , Ahmed Manam
Published: February 2024

This article presents a probabilistic modeling method utilizing smart meter data and an innovative agentbased simulator for electric vehicles (EVs). The aim is to assess the effects of different cost-driven EV charging strategies on the power distribution network (PDN). We investigate the effects of a 40% EV adoption on three parts of Frederiksberg's low voltage distribution network (LVDN), a densely urbanized municipality in Denmark. Our findings indicate that cable and transformer overloading especially pose a challenge. However, the impact of EVs varies significantly between each LVDN area and charging scenario. Across scenarios and LVDNs, the share of cables facing congestion ranges between 5% and 60%. It is also revealed that time-of-use (ToU)-based and single-day cost-minimized charging could be beneficial for LVDNs with moderate EV adoption rates. In contrast, multiple-day optimization will likely lead to severe congestion, as such strategies concentrate demand on a single day that would otherwise be distributed over several days, thus raising concerns about how to prevent it. The broader implications of our research suggest that, despite initial worries primarily centered on congestion due to unregulated charging during peak hours, a transition to cost-based smart charging, propelled by an increasing awareness of time-dependent electricity prices, may lead to a significant rise in charging synchronization, bringing about undesirable consequences for the power distribution network (PDN).
COVID-19 Does Not Correlate with the Temperature
Authors: Adrian J , Mingxuan Y , Ye T , Norouzzadeh P , Amini M.H , Salari M.A , Snir E , Rahmani B
Published: February 2024

The coronavirus disease 2019 (Covid-19) is now a global health crisis. According to the World Health Organization Situation Report, the number of Covid-19 confirmed cases reached 10,185,374 globally as of June 30, 2020.With global temperatures rising, many people expect the warmer weather to eradicate the virus, much like with the severe acute respiratory syndrome (SARS) in 2003. But will this expectation come true? Will Covid-19 cases surge in the Fall? In this project, we evaluate the relationship between the number of Covid-19 confirmed cases and the temperature during the early part of the epidemic, from March 2020 to June 2020. The analysis is based on monthly data regarding Covid-19 cases and temperature from188 countries/regions. The correlation coefficient suggests that there is virtually no relationship. To evaluate this further, we use K-Means clustering and Random Forest Regression (RFR). K-means clusteringis used to divide the countries into 10 groups of confirmed cases. However, the groups differ substantially in monthly temperature. The RFR also found no correlation between temperature and Covid-19. We conclude that the Covid-19 has no relationship with temperature.