bluuebunny/crossref_metadata_2025 huggingface dataset:
SISTEMA HIDROPÔNICO DE PEQUENO PORTE UTILIZANDO TECNOLOGIAS DE CONTROLE E AUTOMAÇÃO PARA DISSEMINAR O CULTIVO SUSTENTÁVEL DE HORTALIÇAS EM ASSENTAMENTOS DO MUNICÍPIO DE CAJAZEIRAS
Authors: De Albuquerque Neto Alberto Grangeiro , Lira Hiarley Martins , Moureira Luís Felipe Da Silva , Mangueira Vinícios Dos Santos
Published: August 2024

Hidroponia é uma palavra derivada do grego que significa trabalho com água. Trata-se da denominação a um tipo de cultivo que não se utiliza o solo, sendo substituído por uma solução nutritiva de apoio. O cultivo hidropônico se sobressai dentre outros, devido principalmente ao seu consumo reduzido de água e o fácil controle de pragas, apresentando elevada produção por área. O projeto traz como proposta principal apresentar a tecnologia a pequenos agricultores familiares de assentamentos por meio da doação de uma bancada de cultivo hidropônico NFT equipada com um sistema de monitoramento e controle automatizado para a mesma, desenvolvido com sensores e atuadores utilizando-se da plataforma Arduino a criação de um sistema de controle semi automático para o mesmo.  Além de promover a disseminação de meios de cultivo sustentáveis, este projeto também busca facilitar a vida do agricultor através da utilização de tecnologias de baixo custo.
Operational Risk Control Strategies and Employee Performance of Commercial Banks in Cameroon
Authors: Aboh Ampi Reme , Abam Ufembe Romeo , Enow Oben Sharon
Published: August 2024

This study investigates the extent to which operational risk control strategies influence employee performance of commercial banks in Cameroon. Primary data was obtained by administering close-ended questionnaires to respondents of 14 selected commercial banks in Cameroon. Data analysis was based on descriptive statistics and Ordinary Least Squares regression. Results showed that amongst the operational risk control strategies under consideration, risk retention and risk avoidance significantly influence the employee performance of commercial banks in Cameroon whereas risk transfer and risk reduction showed no significant influence on the employee performance. Therefore, commercial banks in Cameroon should place more emphasis on internal control, auditing programs, provision for operational loss as well as putting in place codes of conduct, enhancing technology and screening of employees in order to increase employee performance.
Will There Be Independent Judicial Power Without a Jury Trial?
Authors:   Retired Police Colonel, Honored Employee of the Ministry of Internal Affairs, Ponomarev Nikolay S.
Published: August 2024

The article reviews some issues of the establishment and development of the jury trial in Russia, analyzes factors that directly affect the limits of its competence. The author proves that no independent judicial power can exist without a jury trial.
On Some Criteria of Evaluation of a Handwriting Expert Opinion
Authors:   Senior Lecturer of the Department of Forensic Examination and Criminalistics, Kudryavtsev Yury S. , Poshvin Aleksey L. ,   Senior Lecturer of the Department of Forensic Examination and Criminalistics
Published: August 2024

The article reviews challenging issues associated with carrying out handwriting examinations including the ones related to handwriting expert's competence, drawing conclusions, documentation of expert opinions. An analysis of a certain pool of reports prepared by experts carrying out professional activities in departmental expert institutions, in particular, law enforcement authorities, and privately practicing experts in the period from 2006 to 2023 has given an opportunity to identify some problems. The authors have identifi ed expert mistakes caused by the expert's professional training level, lack of experience in carrying out expert activities, personal characteristics. Special attention is paid to expert's competence that directly aff ects the quality of examination carried out and preparation of the an expert opinion. The authors have arrived at conclusions that are signifi cant on a practical level thanks to a deep theoretical analysis of the mentioned problems and multiple years of practical experience.
Criminalistics to Ensure Global Balance of the Future
Authors:   Head of the Department of Criminalistics of the Law Faculty of the Lomonosov Moscow State University, Komarov Igor M. , Kryukova Evgenia S. ,   Associate Professor of the Department of Criminalistics of the Law Faculty of the Lomonosov Moscow State University
Published: August 2024

The article provides an overview of the work of the section "Forensics for Future Justice" of the St. Petersburg International Legal Forum — 2024. Modern cyber and information technologies are radically changing the face of jurisprudence and law enforcement, including forensic science. At the forum, which brought together leading scientists and practicing lawyers, issues of the readiness of domestic science and practice to the challenges of digitalization and the role of criminalistics in the justice of the future were vigorously discussed. The participants in the discussion are unanimous in their opinion: criminalistics, with its deep scientifi c foundations, is becoming increasingly important for the activities of government agencies and the judicial system. The speakers emphasized the versatility of forensic knowledge, which is used not only in the investigation of crimes, but also in other areas of law enforcement. Scientists and practitioners are unanimous that only joint eff orts will ensure the eff ective use of new technologies in the fi ght against crime and ensuring national security.
Personality of a Minor Murderer as a Signifi cant Element of the Criminalistic Characteristics of Crimes
Authors:   ssociate Professor of the Department of Forensic Examination and Criminalistics of the Central Branch, Astashov Mikhail A. , Yaroslavtseva Yulia M. ,   ecturer of the Department of Criminal Intelligence and Surveillance Operations of the Voronezh Institute
Published: August 2024

The article is devoted to the study of the personality of a minor murderer. An analysis of personality traits facilitates improvement of methods used by internal aff airs agencies to combat crime and raises the effi ciency of crime investigation. Information about the criminal's personality helps determine a suspect pool, develop a detention strategy, prevent a crime and exclude some persons from the suspect list. The criminal's personality is the key element of the criminalistic characteristics in an analysis of special aspects of murders committed by minors.
Od zavedanja k dejanjem − vloga (digitalne) zdravstvene pismenosti mladostnikov in njihovih staršev
Authors: Turk Eva
Published: August 2024

V sodobni digitalni dobi se dostop do zdravstvenih informacij izjemno razširja zaradi naraščajoče uporabe digitalnih medijev. Ta razvoj zahteva ustrezno digitalno zdravstveno pismenost posameznikov, še posebej v kontekstu naraščajoče rabe digitalnih virov v zdravstvu. V prispevku obravnavamo koncept (digitalne) zdravstvene pismenosti, ki zajema kognitivne in socialne spretnosti potrebne za obvladovanje informacij o zdravju v digitalni dobi. Prav tako obravnavamo vlogo zdravstvene pismenosti med mladostniki, pri čemer ugotavljamo, da kljub izboljšanim življenjskim razmeram ostajajo izzivi, kot so telesna neaktivnost, debelost, duševne težave in odvisnosti med mladimi. Ustrezna zdravstvena in digitalna zdravstvena pismenost mladostnikov postavlja trdne temelje za obvladovanje zdravja skozi vse življenje. V prispevku obravnavamo vlogo šol, staršev ter splošnih zdravnikov in pediatrov pri spodbujanju zdravstvene pismenosti mladostnikov.
Analiza uwarunkowań gospodarczych i społecznych funkcjonowania rosyjskich okręgów federalnych
Authors: Duraj Natasza
Published: August 2024

Zasadniczym celem podręcznika jest zaprezentowanie problematyki rozwoju społeczno-ekonomicznego Federacji Rosyjskiej w aspekcie analizy wewnętrznych mechanizmów, kształtujących procesy gospodarcze poszczególnych okręgów federalnych Rosji. 
Praca składa się z czterech zasadniczych części w postaci poszczególnych rozdziałów. Każdy z nich zwieńczony jest podsumowaniem, pytaniami odnoszącymi się do informacji zawartych w rozdziale oraz zadań, bazujących na zagadnieniach omówionych w podręczniku. 
Podręcznik adresowany jest do studentów studiów ekonomicznych I i II stopnia oraz słuchaczy studiów podyplomowych na kierunkach ekonomia, zarządzanie oraz nauki polityczne, jak również dla szerokiego grona odbiorców, zainteresowanych problematyką rozwoju społeczno-ekonomicznego Federacji Rosyjskiej oraz prowadzenia działalności gospodarczej w Rosji.
Potencjał turystyki astronomicznej w Polsce na przykładzie obiektu Gwiezdne Dolistowie w Bieszczadach
Authors: Dylak Igor
Published: August 2024

W artykule przedstawiono turystykę astronomiczną oraz jej potencjał w Polsce na przykładzie obiektu Gwiezdne Dolistowie w Bieszczadach. Przybliżono różne rodzaje aktywności, które można podejmować, uprawiając astroturystykę, oraz zaprezentowano kilka nieznanych szerzej pojęć z nią związanych. W opracowaniu omówiono wyniki badań ankietowych przeprowadzonych zarówno wśród gości obiektu, jak i przypadkowych osób w celu wiarygodnej oceny potencjału turystyki astronomicznej. W artykule sformułowano autorskie definicje gospodarstwa astroturystycznego, produktu astroturystycznego i potencjału astroturystycznego.
Czarnobylska Strefa Wykluczenia jako atrakcja turystyczna
Authors: Bryś Mateusz
Published: August 2024

Celem artykułu jest przedstawienie rozwoju turystyki do Czarnobylskiej Strefy Wykluczenia (CSW) oraz odpowiedź na pytanie, dlaczego miejsce to stało się atrakcją turystyczną. Zwrócono uwagę na formę turystyki, jaką jest mroczna turystyka. W artykule ukazano skutki katastrofy w elektrowni czarnobylskiej oraz podstawy przekształcenia się czarnobylskiej zony w atrakcję turystyczną. Poprzez analizę badań osób, które odbyły podróż do Czarnobyla, określono typ takiego turysty oraz jego motywacje do odbycia podróży do CSW. Analizie poddano dane statystyczne pokazujące rozwój turystyki do czarnobylskiej strefy, a także przedstawiono oferty biur podróży. Opisano też specyficzne zasady związane z wyjazdem do tego miejsca.
Applications of Nanotechnology in Modern Agriculture: A Review
Authors: Mantri Tanushka , Dewang Purushottam M.
Published: August 2024

Agriculture is the most important foundation for human civilization as it forms the basis of our food and the raw materials for several other products. Most of the people globally depend on agriculture for their survival and livelihood. Nanotechnology is finding its applications in all realms of life, thus invariably this technology is also playing a profound role in modern agriculture. This article explores how nanotechnology holds potential to revolutionize modern agriculture and provide a new approach towards effective crop management. Methods of improving crop nutrition, protection and production have also been discussed. Furthermore, it describe the uses of different nanoparticles (NP) such as silver nanoparticles (AgNP), Titanium dioxide nanoparticles (TiO2 NP), Chitosan NP, Carbon Nanotubes, Silicon nanoparticles (SiNP) etc. for their various applications in wastewater management, plant growth mechanisms, food packaging, antimicrobial agents and nanosensors etc.
Mobil Telefon Yoksunluğu (Nomofobi); Bir Meslek Yüksekokulu Örneği
Authors: Karaman Dilek
Published: August 2024

Bu araştırma sağlık hizmetleri meslek yüksekokulu yaşlı bakımı programında eğitim gören birinci sınıf öğrencilerin nomofobi düzeylerini ve etkileyen faktörleri incelemek amacıyla gerçekleştirilmiştir. Tanımlayıcı tipte yürütülen araştırmanın örneklemini, bir üniversitenin yaşlı bakımı programına kayıtlı birinci sınıf (n=59) öğrencileri oluşturmuştur. Veriler “Bireysel Bilgi Formu” ve “Nomofobi Ölçeği (NMP-Q)” kullanılarak toplanmıştır. Araştırmaya katılan öğrencilerin yaş ortalamasının 19,64±1,36 yıl, %69,5’inin (n=41) kadın olduğu bulunmuştur. NMP-Q Toplam Puanının 82,0±35,0 olduğu tespit edilmiş olup çalışmaya katılan öğrencilerin orta seviyede nomofobik olduğu belirlenmiştir. Kadınların, nomofobi puanlarının erkeklere göre daha yüksek olduğu belirlenmiştir (P
AI Application (ChatGPT) and Saudi Arabian Primary School Students’ Autonomy in Online Classes: Exploring Students and Teachers’ Perceptions
Authors: Rashed Ibraheam Almohesh Ali
Published: August 2024

In education, the integration of artificial intelligence (AI) has presented opportunities to transform the dynamics of online learning. This study investigated the impact of an AI-powered application, namely ChatGPT, on the autonomy of Saudi Arabian primary students participating in online classes. It also explored how the implementation of Chat GPT influenced Saudi Arabian primary students’ autonomy. In this mixed-methods study, a quasi-experimental design assessed the impact of ChatGPT on learner autonomy among 250 Saudi Arabian primary students from six primary schools in Riyadh, Saudi Arabia. The quantitative analysis employed descriptive statistics and t-tests, while the qualitative data underwent interpretative phenomenological analysis. To ensure coding reliability, 20% of the codes were independently reviewed by an external coder, with a 94% inter-coder agreement coefficient reached through consensus. Findings revealed that ChatGPT significantly affected the participants’ perceptions of autonomy and its different dimensions. Qualitative data showed that AI-powered applications contributed to the students’ autonomy in 10 different ways. Participants also mentioned that AI-powered apps might have some negative consequences. This study has theoretical implications for redefining learner autonomy in the digital age and calls for the exploration of many facets of autonomy. Practical applications from this study include strategic integration of AI into online education, data security, and the need for orientation programs.
Threats and Opportunities of Students’ Use Of AI-Integrated Technology (ChatGPT) in Online Higher Education: Saudi Arabian Educational Technologists’ Perspectives
Authors: Mihmas Mesfer Aldawsari Mesfer , Rashed Ibrahim Almohish Nouf
Published: August 2024

This research study explored the perspectives of 20 educational technologists from four Saudi Arabian universities regarding the integration of AI-powered technology, particularly ChatGPT, into online higher education. The study used a qualitative research method that relied on the principles of theoretical sampling to select participants and conducted in-depth interviews to collect their insights. The approach taken for data analysis was thematic analysis, which uncovered a rich range of insights on both the challenges and opportunities associated with students’ use of AI-integrated technology in the context of online higher education. Ten significant challenges emerged that shed light on the complexities and intricacies of integrating AI-powered technology into educational environments. These challenges included issues related to technological infrastructure, pedagogical adaptation, and the need for comprehensive training programs to empower both teachers and learners. Additionally, eight threats were examined that highlighted concerns about data security, privacy, and potential risks associated with AI technology in educational institutions. This study not only provided a comprehensive overview of the current landscape of AI-integrated technology in Saudi Arabian higher education, but also provided valuable insights for education stakeholders, technologists, and policy makers. It underscored the necessity of proactive measures to mitigate challenges and threats while harnessing the opportunities presented by AI technology to enhance the quality and effectiveness of online higher education.
Teacher- Versus AI-Generated (Poe Application) Corrective Feedback and Language Learners’ Writing Anxiety, Complexity, Fluency, and Accuracy
Authors: Wang Dan
Published: August 2024

This study examines the effects of corrective feedback (CF) on language learners’ writing anxiety, writing complexity, fluency, and accuracy, and compares the effectiveness of feedback from human teachers with an AI-driven application called Poe. The study included three intact classes, each with 25 language learners. Using a quasi-experimental design with pretest and posttest measures, one class received feedback from the teacher, one from the Poe application, and the third received no response to their writing. Data were generated though tests and a writing anxiety scale developed for the study. Data analysis, conducted using one-way ANOVA tests, revealed significant effects of teacher and AI-generated feedback on learners’ writing anxiety, accuracy, and fluency. Interestingly, the group that received AI-generated feedback performed better than the group that received teacher feedback or no AI support. Additionally, learners in the AI-generated feedback group experienced a more significant reduction in writing anxiety than their peers. These results highlight the remarkable impact of AI-generated CF on improving writing outcomes and alleviating anxiety in undergraduate language learners at East China University of Political Science and Law . The study demonstrates the benefits of integrating AI applications into language learning contexts, particularly by promoting a supportive environment for students to develop writing skills. Educators, researchers, and developers can use these findings to inform pedagogical practices and technological interventions to optimize the language learning experience in primary school settings. This research highlights the effectiveness of AI-driven applications in language teaching. It highlights the importance of considering learners’ psychological well-being, particularly anxiety levels, when developing effective language learning interventions.
The Effects of Educational Artificial Intelligence-Powered Applications on Teachers’ Perceived Autonomy, Professional Development for Online Teaching, and Digital Burnout
Authors: Duan Hong , Zhao Wei
Published: August 2024

The transformative impact of advancements in educational technology, particularly those powered by artificial intelligence (AI), on the landscape of education and the teaching profession has been substantial. This study explores the repercussions of AI-powered technologies on teachers’ autonomous behavior, digital burnout, and professional development. The study involved a cohort of 320 high school teachers in China segregated into control and experimental groups. The experimental group received instructions on AI-integrated applications and how they might be used in education. However, the teachers assigned to the control group did not receive information on the use of AI educational applications. Three distinct questionnaires probing autonomous behaviors, digital burnout, and online professional development were administered, and the ensuing data were analyzed using independent sample t-tests. The findings elucidate a discernible positive impact of AI-integrated technology intervention on teachers’ professional development and autonomous behaviors. The incorporation of AI-enhanced tools facilitated an augmentation in teachers’ professional growth and bolstered their independent and self-directed instructional practices. Notably, using AI-integrated technology significantly reduced teachers’ susceptibility to digital burnout, signifying a potential alleviation of stressors associated with technology-mediated teaching. This research provides valuable insights into the multifaceted effects of AI-powered technologies on educators, shedding light on enhancing professional competencies and mitigating digital burnout. The implications extend beyond the confines of this study, resonating with the broader discourse on leveraging technology to augment the teaching profession and optimize the learning environment.
The Auxiliary Role of Artificial Intelligence Applications in Mitigating the Linguistic, Psychological, and Educational Challenges of Teaching and Learning Chinese Language by non-Chinese Students
Authors: Xia Jingfang , Ge Yao , Shen Zijun , Rahman Najar Dr. Mudasir
Published: August 2024

Learners might have several challenges while attempting to learn a second/foreign language. Learners of Chinese face linguistic, psychological, and educational challenges. The integration of technology, especially artificial intelligence (AI), into teaching foreign languages is a blessing for teachers and learners. This study delved into the auxiliary role of AI-powered applications in mitigating the linguistic, psychological, and educational challenges which non-Chinese learners face while learning Chinese/Mandarin language. Qualitative research was employed, and 20 teachers of Chinese language were selected through theoretical sampling. In-depth interviews were used for collecting data, and MAXQDA was used for thematic analysis. Findings revealed that AI-powered educational applications are useful for helping language learners overcome the commonly reported linguistic, psychological, and educational challenges which non-Chinese learners and teachers of Mandarin might encounter. Findings verify the effectiveness of AI-powered applications, such as ChatGPT, Poe, Brainly, and so forth, in helping teachers and learners of Chinese language learn grammar, structure, idioms, and cultural issues of Chinese language. Findings have implications for foreign language (Chinese) learners and teachers, educational technologists, as well as syllabus designers.
“To Use or Not to Use?” A Mixed-Methods Study on the Determinants of EFL College Learners’ Behavioral Intention to Use AI in the Distributed Learning Context
Authors: Wu Hanwei , Wang Yunsong , Wang Yongliang
Published: August 2024

Artificial intelligence (AI) offers new possibilities for English as a foreign language (EFL) learners to enhance their learning outcomes, provided that they have access to AI applications. However, little is written about the factors that influence their intention to use AI in distributed EFL learning contexts. This mixed-methods study, based on the technology acceptance model (TAM), examined the determinants of behavioral intention to use AI among 464 Chinese EFL college learners. As to quantitative data, a structural equation modelling (SEM) approach using IBM SPSS Amos (Version 24) produced some important findings. First, it was revealed that perceived ease of use significantly and positively predicts perceived usefulness and attitude toward AI. Second, attitude toward AI significantly and positively predicts behavioral intention to use AI. However, contrary to the TAM assumptions, perceived usefulness does not significantly predict either attitude toward AI or behavioral intention to use AI. Third, mediation analyses suggest that perceived ease of use has a significant and positive impact on students’ behavioral intention to use AI through their attitude toward AI, rather than through perceived usefulness. As to qualitative data, semi-structured interviews with 15 learners, analyzed by the software MAXQDA 2022, provide a nuanced understanding of the statistical patterns. This study also discusses the theoretical and pedagogical implications and suggests directions for future research.
The Use of Deep Learning in Open Learning: A Systematic Review (2019 to 2023)
Authors: Estrada-Molina Odiel , Mena Juanjo , López-Padrón Alexander
Published: August 2024

No records of systematic reviews focused on deep learning in open learning have been found, although there has been some focus on other areas of machine learning. Through a systematic review, this study aimed to determine the trends, applied computational techniques, and areas of educational use of deep learning in open learning. The PRISMA protocol was used, and the Web of Science Core Collection (2019–2023) was searched. VOSviewer was used for networking and clustering, and in-depth analysis was employed to answer the research questions. Among the main results, it is worth noting that the scientific literature has focused on the following areas: (a) predicting student dropout, (b) automatic grading of short answers, and (c) recommending MOOC courses. It was concluded that pedagogical challenges have included the effective personalization of content for different learning styles and the need to address possible inherent biases in the datasets (e.g., socio-demographics, traces, competencies, learning objectives) used for training. Regarding deep learning, we observed an increase in the use of pre-trained models, the development of more efficient architectures, and the growing use of interpretability techniques. Technological challenges related to the use of large datasets, intensive computation, interpretability, knowledge transfer, ethics and bias, security, and cost of implementation were also evident.
Keep the Ball Rolling in AI-Assisted Language Teaching: Illuminating the Links Between Productive Immunity, Work Passion, Job Satisfaction, Occupational Success, and Psychological Well-Being Among EFL Teachers
Authors: Heydarnejad Tahereh , Çakmak Fidel
Published: August 2024

Artificial intelligence (AI) revolutionizes education by fundamentally altering the methods of teaching and processes of learning. Given such circumstances, it is essential to take into account the mental and psychological well-being of teachers as the architects of education. This research investigated the links between teacher immunity (TI), work passion (WP), job satisfaction (JS), occupational well-being (OW-B) and psychological well-being (PW-B) in the context of AI-assisted language learning. In order to achieve this objective, 392 Iranian teachers of English as a foreign language (EFL) were given the Language Teacher Immunity Instrument, the Work Passion Scale, the Job Satisfaction Questionnaire, the Occupational Well-Being Scale, and the Psychological Well-Being at Work Scale. By using confirmatory factor analysis and structural equation modeling, the study identified and quantified the impacts of TI, WP, JS, OW-B, and PW-B via data screening. The findings emphasize the crucial role that TI and WP play in providing a balance in teachers’ JS, OW-B, and PW-B while applying AI in their language instruction. The broad ramifications of this research are explored.
Does AI Simplification of Authentic Blog Texts Improve Reading Comprehension, Inferencing, and Anxiety? A One-Shot Intervention in Turkish EFL Context
Authors: Çelik Ferdi , Yangın Ersanlı Ceylan , Arslanbay Goshnag
Published: August 2024

This experimental study investigates the impact of ChatGPT-simplified authentic texts on university students’ reading comprehension, inferencing, and reading anxiety levels. A within-subjects design was employed, and 105 undergraduate English as a foreign language (EFL) students engaged in both original and ChatGPT-simplified text readings, serving as their own controls. The findings reveal a significant improvement in reading comprehension scores and inferencing scores following ChatGPT intervention. However, no significant change in reading anxiety levels was observed. Results suggest that ChatGPT simplification positively influences reading comprehension and inferencing, but its impact on reading anxiety remains inconclusive. This research contributes to literature on the use of artificial intelligence (AI) in education and sheds light on ChatGPT’s potential to influence language learning experiences within higher education contexts. The study highlights the practical application of ChatGPT as a tool for helping students engage in authentic text readings by making text more comprehensible. Based on the findings, several multifaceted implications that extend to various stakeholders in the field of language education are provided.
The Acceptance of AI Tools Among Design Professionals: Exploring the Moderating Role of Job Replacement
Authors: Yang Hsi-Hsun
Published: August 2024

This study proposes a hypothetical model combining the unified theory of acceptance and use of technology (UTAUT) with self-determination theory (SDT) to explore design professionals’ behavioral intentions to use artificial intelligence (AI) tools. Moreover, it incorporates job replacement (JR) as a moderating role. Chinese-speaking design professionals in regions influenced by Confucian culture were surveyed. An analysis of 565 valid cases with AMOS (Analysis of Moment Structures) supported the structural model hypothesis. The model explains 52.1% of the variance in behavioral intention to use (BIU), proving its effectiveness in explaining these variances. The results further validate the importance of performance expectancy (PE) over effort expectancy (EE) in influencing BIU. Additionally, it has been shown that the impact on intrinsic motivation (IM) and extrinsic motivation (EM) can be either amplified or diminished by anxiety about JR. For individuals experiencing higher levels of JR anxiety, there is a marked increase in IM. They may perceive adopting AI tools as an opportunity to enhance their skills and job security. Conversely, this anxiety also significantly boosts EM, as the potential for improved efficiency and productivity with AI use becomes a compelling incentive. These findings suggest new paths for academic researchers to explore the psychological impacts of AI on design professionals’ roles. For practitioners, especially in human resources and organizational development, understanding these dynamics can guide the creation of training programs that address job replacement anxiety.
Potentials and Implications of ChatGPT for ESL Writing Instruction
Authors: Ibrahim Karim , Kirkpatrick Robert
Published: August 2024

The release of ChatGPT has marked the dawn of a new information revolution that will transform how people communicate and make meaning. However, to date, little is known about the implications of ChatGPT for L2 composition instruction. To address this gap, the present study uses a systematic review design to synthesize available research on the educational potentials of ChatGPT as an instructional assistant, outline the implications of these potentials for L2 writing instruction, and discuss their practical applications. The findings, based on a meta-analysis of 42 research articles, demonstrate that ChatGPT can enhance L2 writing instruction by boosting learners’ motivation, automating instructional tasks, and offering instantaneous, personalized feedback to learners. These findings have important implications for harnessing the instructional potential of generative AI in L2 writing classes.
Supports de lignes haute tension en bois
Authors: Sallenave P.
Published: August 2024

Jusqu'à récemment, les lignes à haute tension (32 à 220 k V) étaient soutenues, en France, par des pylônes ou des portiques construits avec des poutres en acier assemblées. Le béton armé a été largement utilisé pour les lignes à moyenne tension (450 à 32 000 V), mais rarement pour les lignes à haute tension, car les pylônes sont trop lourds et susceptibles d'être endommagés pendant le transport.Ces deux matériaux, l'acier et le béton, ont montré des faiblesses dans les climats extrêmes, c'est-à-dire : - dans les régions montagneuses où l'on peut s'attendre à un givre épais, et près de la mer où l'air est un puissant agent de corrosion de l'acier.L'Electricité de France a tenté d'utiliser, en 1955, des supports de lignes à haute tension (63 kV) en bois, selon une conception moderne, dans les montagnes où règne le givre. Les pales, d'une hauteur de 15 à 16 mètres, sont en Epicea créosoté à cœur. Les traverses et les entretoises sont en azobé.Les excellents résultats obtenus avec cette nouvelle technique ont conduit l'E.D.F. à installer trois lignes de montagne et une ligne côtière avec des supports en bois.Une autre ligne, d'une tension beaucoup plus élevée (220 kV), a été équipée de supports en bois en 1959, dans le département de la Lozère.
Empirical study of Egocentrism as a form of deviant behavior in development of personality’s moral sphere
Authors:   Dimitrovgrad engineering-  technological Institute, Oschepkov Aleksey A. , Piskunova Elena N. ,   Dimitrovgrad engineering-technological Institute
Published: August 2024

The relevance of study of egocentrism role in moral sphere development is conditioned by the necessity of deeper comprehension of interrelation between moral development and human social behavior determined by problematics related to deviant behavior manifestation. Due to this, the given article is directed to revelation of egocentrism features of young people and their relation to deviant behavior. To solve this task the empirical study, the main method of which became psychological techniques of egocentrism level diagnostics, of proneness to deviant behavior and techniques of values orientations system study, presenting the possibility to study personal features as integrated mark in relation to the possibility of deviant behavior revelation, was conducted. The study sample was composed by students of Dimitrovgrad engineering-technological institute — branch of NRNU MEPhI, in the age of 18–20 years, at the amount of 54 people (27 boys and 27 girls). Thanks to the conducted empirical study it was revealed that mechanism of interrelation between young people egocentrism and deviant behavior lies in the fact that they discover misrepresentation of self, and for them the overvaluation of own quantities is characteristic, at the same time there is little agreement of society ideas about themselves. Thus development of personality with egocentrism high level testifies deformation of development of communications to the people around, that causes difficulties in interactions to people. The presented results may be put in the basis of design of psychological-pedagogical program of preventing deviant behavior of young people.
Desativação dos cursos brasileiros de pós-graduação stricto sensu em ciência da informação
Authors: Marques Francis Bento , Maculan Benildes Coura Moreira dos Santos , Souza Renato Rocha
Published: August 2024

Introdução: A importância da Pós-Graduação para o desenvolvimento de uma sociedade é inquestionável, embora muitos desafios dificultam a sobrevivência dos programas que oferecem esse nível de ensino. Objetivo: Pretende-se, com este estudo, caracterizar os programas brasileiros de Pós-Graduação da área da Ciência da Informação que foram desativados. Metodologia: O estudo caracteriza-se como uma pesquisa pura, descritiva e quantitativa, aplicando-se os procedimentos da pesquisa documental, por meio da consulta ao Catálogo de Teses e Dissertações da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior. Foi considerado o intervalo de 2004 a 2021, e os procedimentos adotados identificaram os programas, caracterizaram os desativados e mapearam as temáticas das suas pesquisas. Resultados: Os resultados revelaram a existência de três programas desativados, sendo um deles de modalidade profissional e com um tempo curto de existência, embora tenha contribuído para elevar a parcela de produção dos estudos defendidos nos três programas, cujas temáticas abordaram a informação como objeto de estudo, representando, assim, o campo da Ciência da Informação. Conclusão: A análise dos programas desativados evidenciou o fortalecimento da área, reforçou o papel exercido pelos programas profissionais e indicou possíveis desafios, tal como a tentativa de atender aos critérios de avaliação em relação com as desigualdades socioeconômicas do território brasileiro.
Six-Year Examination of the Scholarship and Awards Program of the International Association for Human Caring
Authors: King Beth M. , Barry Charlotte D. , Olafson Elizabeth A. , Hawthorne Dawn , Wei Holly
Published: August 2024

Abstract:The Scholarship and Awards Committee of the International Association for Human Caring continues to live the organization’s mission of disseminating caring research throughout the globe. The committee’s success is visible in the many scholarships and awards granted since its inauguration and by increasing the number of scholarships and awards. Committee members created a survey to evaluate recipients’ perspectives on programmatic goals and assess the committee’s efforts. Thirteen recipients responded. The respondents appreciated the support gained from the scholarships and awards.
Healthcare Leaders’ Interventions to Alleviate Nurse Burnout During the COVID-19 Pandemic: A Systematic Review
Authors: Papa-Torres Anne Genevieve , Wood Felecia , Gilroy Heidi
Published: August 2024

Abstract:Nurses working during the COVID-19 pandemic reported increased levels of burnout. Healthcare leaders have the unique role of mitigating burnout and improving working conditions. This article is a systematic review of the literature on how leaders can alleviate burnout among nurses during the COVID-19 pandemic. A systematic review was performed in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. The following recommendations from the systematic review include leadership visibility and compassion, provision of clear and timely communication, adequate medical supplies, a manageable workload, adequate training and orientation, psychological support, resilience resources, recognition, and acknowledgment of work.
K-Means Clustering Algorithm: A Study on Unemployment Rates in Districts/Cities in Three Highest Provinces
Authors: Purnama Mohammad Dian , Mustafidah Mutia Eva
Published: August 2024

Unemployment is a recurring issue every year, particularly in provinces with high unemployment rates, posing economic and social challenges. West Java, Riau Islands, and Banten are identified as the three provinces with the highest unemployment rates, exceeding 8% in the year 2022. Hence, this study aims to delve into the unemployment scenario in these provinces, considering various influencing factors drawn from relevant previous research. The primary objective of this research is to obtain the classification results of regencies/cities in West Java, Riau Islands, and Banten based on unemployment indicators. The findings reveal four clusters: Cluster 1 comprises 13 regencies/cities with the lowest unemployment rates, Cluster 2 includes 4 regencies/cities with low unemployment rates, Cluster 3 consists of 13 regencies/cities with moderate unemployment rates, and Cluster 4 encompasses 12 regencies/cities with high unemployment rates.
Post-Election Sentiment Analysis 2024 via Twitter (X) Using the Naive Bayes Classifier Algorithm
Authors: Mayasari Yessi , Nasution Yusuf Ramadhan
Published: August 2024

This study examines sentiment related to the topic of Twitter after the 2024 election, where the topic focused on the 2024 presidential election. Where there are a lot of public opinions and comments after the 2024 presidential election. One of them is the phenomenon when Anies-Muhaimin and Ganjar-Mahfud filed a lawsuit with the Constitutional Court (MK) to appeal over suspicions of fraud over the victory of the elected pair Prabowo-Gibran. By applying the Naïve Bayes Classifier algorithm to analyze public sentiment. Through data crawling, preprocessing, feature extraction, and sentiment classification, the study identified the dominant sentiment and its intensity among social media users. This methodology utilizes quantitative data analysis, using Twitter data linked to specific election-related hashtags. The findings reveal a mix of negative and positive sentiments, reflecting diverse public opinion about election results and related political developments. The accuracy of Naïve Bayes Classifier is highlighted, demonstrating its effectiveness in sentiment classification in the context of social media. This research contributes to understanding public sentiment in the political realm and improving methodological approaches in sentiment analysis using machine learning.
Probability Bracket Notation for Probability Modeling
Authors: Wang Xing M. , Scott Tony C.
Published: August 2024

Following Dirac’s notation in Quantum Mechanics (QM), we propose the Probability Bracket Notation (PBN), by defining a probability-bra (P-bra), P-ket, P-bracket, P-identity, etc…Using the PBN, many formulas, such as normalizations and expectations in systems of one or more random variables, can now be written in abstract basis-independent expressions, easy to expand by inserting a proper P-identity. The time evolution of homogeneous Markov processes can also be formatted in such a way. Our system P-kets are identified with probability vectors and our P-bra system is comparable with Doi’s state function or Peliti’s standard bra. In the Heisenberg picture of the PBN, a random variable becomes a stochastic process, and the Chapman-Kolmogorov equations are obtained by inserting a time-dependent P-identity. Also, some QM expressions in Dirac notation are naturally transformed to probability expressions in PBN by a special Wick rotation. Potential Applications show the usefulness of the PBN beyond the constrained domain and range of Hermitian operators on Hilbert Spaces in QM all the way to IT.
Pesticides’ Mode of Action on Aquatic Life
Authors: Saha Raja , Dutta Sangita Maiti
Published: August 2024

Pesticides are chemical compounds or mixtures of hazardous substances that are used by humans to increase and protect crops from pests and control disease-carrying insects. Because of its wide use, it may be poisonous to helpful and non-targeting plants and animals. Spraying or spreading pesticides over whole fields of crops can cause runoff to transfer the chemicals into aquatic ecosystems, and wind can carry the chemicals to nearby grazing regions, farms, and populated areas, where they can endanger other animals. This review summarises recent studies on pesticide combination toxicity to aquatic biota and approaches used to anticipate toxic effects. When toxicants harm economically significant organisms that humans consume, the negative effects become more severe and can cause stress conditions, vital organ damage, biochemical damage, or even the death of living things in both terrestrial and aquatic environments. Pesticides are highly toxic to aquatic organisms such as snails, fish, etc. Neurological dysfunction in freshwater organisms is also caused by pesticides. By producing excessive ROS, pesticides can cause severe biochemical and histological changes in freshwater organisms. So, it is therefore easy to understand the attention of the public on these substances. Because aquatic organisms play a major part in the food chain. However, through the biomagnification process, the quantity of pesticides increases in the higher organisms through the food chain. Which results play a terrific role in the higher organism’s body. So, It's essential to comprehend the way that insecticides work on aquatic organisms. In this review article, we are focusing on the way that pesticides work, which will help in the system of biomonitoring.
Bottled or Tap Water? Factors Explaining Consumption and Measures to Promote Tap Water
Authors: Zvěřinová Iva , Ščasný Milan , Otáhal Jan
Published: August 2024

The production and consumption of plastic bottled water have several negative environmental impacts worldwide. The EU countries have adopted strategies and programs to reduce single-use plastics, including PET bottles. A key aspect of designing effective policies is understanding consumer behaviour. To identify barriers and motivations for drinking tap and bottled water, we conducted a nationally representative questionnaire survey among 3,411 respondents in the Czech Republic in 2022. The results reveal that people aged 18-34 appear to be moderate consumers of bottled water and very frequent consumers of tap water. Bottled water consumption tends to be less frequent among people with higher education, while tap water consumption is less frequent among people with lower incomes. The most important factors that explain the frequency of drinking bottled and tap water are taste perception, health concerns and habit. Health concerns about tap water and the unpleasant taste of tap water influence higher consumption of bottled water and vice versa. People with a strong habit of drinking tap water are less likely to consume bottled water. The constructs from the Theory of Planned Behaviour were statistically significant. The results can guide decision-makers in promoting tap water to consumers. To encourage tap water drinking, we suggest measures to increase the availability of tap water in public places in conjunction with campaigns targeting taste and health perception and the habit of drinking tap water.
Expression Profiling of Coding and Noncoding RNAs in the Endometrium of Patients with Endometriosis
Authors: Choi Mi Ran , Chang Hye Jin , Heo Jeong-Hyeon , Yum Sun Hyung , Jo Eunae , Kim Miran , Lee Sang-Rae
Published: August 2024

The aim of this study was to identify differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) in the endometrium of individuals with and without EMS during the proliferative (P) and secretory (S) phases of the menstrual cycle. Tissues were obtained from 18 control (CT; P-phase [pCT], n=8; S-phase [sCT], n=13) and 23 EMS patients (P-phase [pEMS], n=13; S-phase [sEMS], n=12). DElncRNAs and DEmRNAs were analyzed using total RNA-sequencing. In P-phase, expression of NONHSAG019742.2 and NONHSAT120701.2 was significantly higher in EMS than control patients, that of while NONHSAG048398.2 and NONHSAG016560.2 was lower in EMS patients. In S-phase, expression of NONHSAT000959.2, NONHSAT203423.1, and NONHSAG053769.2 was significantly increased in EMS patients, while that of NONHSAG012105.2 and NONHSAG020839.2 was lower. In addition, the expression of HSD11B2, THBS1, GPX3, and SHISA6 was similar to that of neighboring lncRNAs in both P- and S-phases. In contrast, ELP3 and NR4A1, respectively, were up- or downregulated in pEMS tissues. In sEMS, expression of LAMB3 and HIF1A was increased, while expression of PAM was reduced. Our findings on lncRNAs and mRNAs encourage not only to explore the potential clinical applications of lncRNAs and mRNAs as prognostic or diagnostic biomarkers for EMS but also to gain valuable insights into its pathogenesis.
Cobot Kinematic Model for Industrial Applications
Authors: Figliolini Giorgio , Lanni Chiara , Tomassi Luciano
Published: August 2024

This paper deals with the formulation of a Cobot kinematic model by developing both the direct and inverse kinematics and choosing the noa transformation matrix for defining the end-effector position and orientation with respect to the base frame. These algorithms have been validated via software in Matlab environment and by means of suitable experimental tests, which have been carried out by using a UR5e Cobot. Moreover, a specific industrial application regarding the robotized assembling of a multi-cylinder IC engine, has been designed in terms of layout and corresponding automatic cycle that is intended as a sequence of the robot elementary actions. In particular, the proposed robotized cell is composed by the UR5e Cobot along with its controller and a suitable electropneumatic circuit that includes a PLC with its user interface, which are both governed by means of a specific electronic board and a switch control box. The IC engine in scale of 1:5 and specific parts of the end-effector, which takes the role of vacuum gripper and torque limiting screwdriver, have been designed and manufactured by using a 3D printer.