bluuebunny/crossref_metadata_2025 huggingface dataset:
Learning-Oriented Reading Assessment: A Design for EFL Students
Authors:   Chulalongkorn University, Thailand, 6388510427@student.chula.ac.th, Chongsomboon Rinthip , Chinwonno Apasara ,   Chulalongkorn University, Thailand, Apasara.C@chula.ac.th
Published: June 2024

Learning-oriented reading assessment (LORA) has expanded multiple views of assessment for learning reading. Most EFL reading assessment contexts tended not to utilise feedback and self-assessment for the redesign of authentic tasks and tests. This mixed-methods study investigated how LORA enhanced EFL students’ reading after the implementation of LORA. Participants consist of sixty-seven tenth Grade Thai students from the urban public school. They were divided into two groups, including 32 students for the LORA group and 35 students for the control group. The reading test was designed to compare post-test scores of both groups and was analyzed using Mann-Whitney U-test. In addition to perceptions on assessment, only those in the LORA group responded to the LORA questionnaire to give their perceptions of the assessment, and the three highest-ranking and the three lowest-ranking students were selected for the semi-structured interviews to explore five aspects of the design, including task, test, teacher’s observation, feedback, and redesign. Findings from the questionnaire were analyzed using descriptive statistics whereas the semi-structured interview was categorized through thematic analysis. Although there was no statistically significant difference between groups, students in the LORA group tended to gain higher scores on reading after participating in the study. They perceived positively on the implementation. Implications indicated connecting reading assessment and feedback for learning with authentic tasks and tests.
Fostering Autonomous Learning in Oral English Through Role Play: An Exploration in Course Setting
Authors:   Universiti Putra Malaysia, Malaysia, msytj620@gmail.com, Li Rui , Razali Fazilah ,   Corresponding author, Universiti Putra Malaysia, Malaysia, fazilahrazali@upm.edu.my, Ismail Lilliati ,   Universiti Putra Malaysia, Malaysia, lilliati@upm.edu.my, Muhamad Mohd Mokhtar ,   Universiti Putra Malaysia, Malaysia, mk_mokhtar@upm.edu.my, Ma Xiaolan ,   Mulan Primary School, China, 1151961770@qq.com
Published: June 2024

Enhancing student motivation to manage their learning process and attain self-transformation in Oral English learning presents a notable challenge. This study emerged from a Role Play Oral English Course (RPOEC) which utilizes English cartoon film clips to enhance primary students’ oral English skills through role play, facilitating meaningful language input and output. Implemented in a Chinese context where English language exposure is limited, this qualitative case study, combined with action research, explores how autonomous learning is fostered through RPOEC. The study engaged a Grade Six class of 30 students (25 girls and 5 boys) in northern China, investigating strategies to trigger learners’ interests and form their independent learner identities autonomously, empower learners in their educational journey, encourage reflective practices in oral English learning, and involve learners in evaluative processes. Data, collected through a combination of observations, focus group discussions, and document analysis for three months, were thematically analyzed across four intertwined perspectives: situated learning, interactive communication, cooperative learning, and evaluative discussions. The paper posits that the outlined curricular approach can be tailored to educators’ needs aiming to cultivate students’ oral English skills within a situated, interactive, and collaborative learning environment, pushing learners towards autonomous engagement.
The Essential Technology Implementations for Developing a Hybrid Module for High School Physics in the Sultanate of Oman
Authors:   Universiti Malaya, Malaysia, mmz5710@gmail.com, Al-Kamzari Fathiya , Alias Norlidah ,   Universiti Malaya, Malaysia,  drnorlidah@um.edu.my
Published: June 2024

Physics is commonly perceived as a challenging academic discipline, with a contributing factor being the limited availability of educational resources to support students. Consequently, there arises a need to develop a module focused on the incorporation of technology in physics education. The integration of technology within pedagogical modules refers to the practice of including various technological Implementations in educational content. This study aimed to investigate and rank the most efficient technological implementations for designing a pedagogical hybrid physics module for students in grades 9-12 in the Sultanate of Oman. A literature review was conducted concerning the integration of technology in hybrid learning and physics education. Qualitative and quantitative research methodologies were employed for data collection, the data were analyzed utilizing Fuzzy Delphi Method (FDM). To establish the FD instrument, a panel of six experts was consulted through semi-structured interviews. This panel identified 13 significant technology Implementations for the development of the module. Subsequently, a group of 12 experts was surveyed to identify the essential technology Implementations. Consequently, four technology Implementations were excluded, while the accepted Implementations were then prioritized using FDM. The findings revealed that Mobile instant messaging claimed the top position, with Artificial Intelligence (AI) ranking at the lowest position.
The Development of Reading Literacy Using Metacognitive Reading Strategies with Analysing Text Structure
Authors:   Master’s student, School of Curriculum and Instruction, Khon Kaen University, Thailand, Thiraphon.a@kkumail.com, Artpasa Thiraphon , Doungwilai Dhanita ,   Assoc. Prof., Corresponding author, School of Curriculum and Instruction, Khon Kaen University, Thailand, dchann@kku.ac.th
Published: June 2024

The objectives of this research were to 1) develop reading literacy using metacognitive reading strategies with analysing text structure, 2) develop metacognitive reading behaviours using metacognitive reading strategies with analysing text structure, and 3) study the relation of reading literacy and metacognitive reading behaviours of Mathayomsuksa 1 students after learning by using metacognitive reading strategies with analysing text structure. The samples were 30 of Mathayomsuksa 1/1 students who enrolled Thai language subject in semester 1, academic year 2023 at Kham Kaen Nakhon School, The Secondary Educational Service Area Office KhonKaen. Research instruments were six lesson plans using Metacognitive Reading Strategies with Analysing Text, post-lesson report, teaching behaviours of teachers and learning of students report, metacognitive reading strategies with analysing text checklist, reading literacy framework process checklist and reading literacy assessment. The instruments used to evaluate the research were reading literacy test and reading behaviours questionnaire. Statistics used for data analysis were mean, standard deviation, percentage, Pearson correlation coefficient and content analysis. The findings indicated that 1) the percentage of the students’ reading literacy scores were 83.07 and 80 percentages of the students met the criteria which was at a higher level, 2) the student’s metacognitive reading behaviours were at a high level and 80 percentages of the students met the criteria at a higher level and 3) metacognitive reading behaviours and reading literacy were related after using metacognitive reading strategies with analysing text structure.
Attitudes, Motivation, and Beliefs of Online Foreign Language Learners Amidst the Pandemic
Authors:   Utsunomiya University, Japan, Kasumi.arciaga@cc.utsunomiya-u.ac.jp, Arciaga Kasumi , Lucas Rochelle Irene ,   De La Salle University, Philippines, Rochelle.lucas@dlsu.edu.ph
Published: June 2024

Covid-19 pandemic was an event which undeniably changed the paradigm of language learning. Online language learning has emerged as a significant catalyst, shedding light on distinctive attitudes, motivations, and beliefs among learners. The aim of the present study was to explore how learners articulated their attitudes, motivations, and beliefs in this context. To achieve these objectives, two hundred thirteen respondents participated in the study, completing modified versions of the AMTB (Attitude/Motivation Test Battery) and BALLI (Beliefs about Language Learning Inventory) questionnaires. In addition, eight online language learners were engaged in one-on-one interviews. Quantitative data were subjected to descriptive statistical analysis, while qualitative data were transcribed and examined using thematic analysis techniques as proposed by Auerbach & Silverstein (2003). Drawing upon the Complex Dynamic Theory by Larsen-Freeman (2017), the study's findings revealed that foreign language learning during the Covid-19 pandemic constitutes a complex dynamic construct that is profoundly influenced by learners' attitudes, motivations, and beliefs. These findings align with prior research, suggesting that learners generally have positive attitudes toward language learning and the target language community, and they exhibit a high level of motivation in their pursuit of online language acquisition.
Exploring Key Factors Influencing the Adoption of Mobile Cloud Computing in Higher Education: Case study at An-Najah University
Authors:   Dr., Murdoch University, United Arab Emirates, NahilAbed.Abdallah@murdoch.edu.au, Abdallah Nahil , Abdallah Odeh ,   Prof., An-Najah National University, Nablus, Palestine, odeh74a@najah.edu, Kielani Jamal Zaid ,   Prof., An-Najah National University, Nablus, Palestine, shar@najah.edu
Published: June 2024

The integration of mobile learning applications has emerged as indispensable in higher education, yet the widespread adoption of mobile cloud computing technology within university settings remains limited in developing countries. This research seeks to bridge this gap by elucidating the primary factors influencing the decision to adopt mobile cloud computing in universities. To attain this objective, a comprehensive model is proposed, encompassing seven established technological factors along with novel considerations such as quality of service and social influence. The study involves data collection from 210 students and academic staff An-Najah National University in Palestine. The investigation underscores the paramount influence of quality of service, perceived usefulness, perceived ease of use, facilitating conditions, social influence, management support, and privacy on mobile cloud adoption. Furthermore, the research brings to light the persistent concerns surrounding security and privacy, serving as significant impediments to mobile cloud adoption in Palestinian Universities. The implications of these findings extend to higher educational institutions, mobile cloud service providers, and decision-makers. The identified factors serve as critical considerations for successful implementation of mobile cloud computing technology. Moreover, the research sheds light on the societal and scientific significance by addressing the motivation behind the title—exploring the utility of Mobile Computing Technology in enhancing educational processes.
Unveiling the Veil: Gender Differences in Satisfaction among K12 Teachers in the Teacher Activity Groups Initiative
Authors:   Can Tho University, Vietnam, phyen@ctu.edu.vn, Yen Phuong Hoang , Thuy Pham Trut ,   Nam Can Tho University, Vietnam, ptthuy@nctu.edu.vn, Tra Nguyen Huong ,   Can Tho University, Vietnam, nhuongtra@ctu.edu.vn, Thu Huynh Thi Anh ,   Can Tho University, Vietnam, htathu@ctu.edu.vn, Thi Nguyen Anh ,   Can Tho University, Vietnam, nathi@ctu.edu.vn, Thao Le Thanh ,   Can Tho University, Vietnam, thaole@ctu.edu.vn
Published: June 2024

This study aimed to investigate the influence of gender on the satisfaction of Vietnamese K-12 teachers who participated in Teaching Activity Groups (TAGs), a collaborative professional development (PD) initiative. Using a quantitative approach, questionnaire data was collected from a purposive sample of 147 teachers (108 females, 39 males). The data were subjected to descriptive statistical analysis and Independent Sample t-tests to discern potential gender-based differences in teachers’ satisfaction with TAGs and their perceived impact on teachers’ PD. The results revealed nuanced disparities in satisfaction levels between female and male participants, with generally higher satisfaction levels exhibited by females. Notable areas of difference included knowledge acquisition, skills acquisition, school support, and issue resolution. These areas were indeed discussed in the content, providing a detailed analysis of where gender differences in satisfaction were most pronounced. The results underscore the relevance of gender considerations in PD studies and offer insights for policy and practice in the Vietnamese educational landscape. The study concludes by highlighting the need for further research to explore these gender dynamics and their underlying causes in greater depth.
Active Methodologies to Enhance Blended Learning: Exploring the Perceptions of Pre-Service Teachers
Authors:   Rey Juan Carlos University, Spain, beatriz.ortega@urjc.es, Ortega-Ruipérez Beatriz , Correa-Gorospe José Miguel ,   University of the Basque Country, Spain, jm.correagorospe@ehu.eus
Published: June 2024

The perceptions of blended learning teachers on the usefulness of different techniques in different aspects are tested: the technique improves the understanding of content and application of knowledge, to test the perception of learning; the technique facilitates blended learning; and the technique improves autonomy, commitment, and the perception of achievement with respect to the subject, to test aspects related to learning. This is an exploratory study with a pre-experimental design. Thus, for this proposal, a mixed method is used with a scale questionnaire to obtain quantitative measures of mean and standard deviation, in addition to using the ANOVA test to check that the differences are significant, and an interview with some participants to complement with qualitative information and deepen the results obtained. Participants highlighted their combination and considered that self-regulated learning strategies are especially useful for monitoring progress and perception of achievement; flipped classroom to improve autonomy, which in conjunction with self-regulated learning improves understanding; and cooperative projects to improve understanding and application of knowledge when learning among peers. In conclusion, each technique is suitable for different purposes and the combination would be ideal.
Beyond Traditional Methods: Utilizing a Hybrid SIRe Model for Optimal Counselling Skill Development in Practicum Courses
Authors:   School of Applied Psychology, Social Work and Policy, Universiti Utara Malaysia,  Kedah Malaysia, mohdazrin@uum.edu.my, Nasir Mohd Azrin Mohd , Ismail Suzila ,   School of Applied Psychology, Social Work and Policy, Universiti Utara Malaysia,  Kedah Malaysia, suzyla@uum.edu.my, Ali Nor A’tikah Mat ,   School of Applied Psychology, Social Work and Policy, Universiti Utara Malaysia,  Kedah Malaysia, nor.atikah@uum.edu.my, Faudzi Farah Nadia Mohd ,   Institute for Psychotherapy, Correctional & Rehabilitation (iPSYCORE), Universiti Utara Malaysia, Sintok, Kedah, Malaysia, farahnadia@uum.edu.my
Published: June 2024

This study aims to introduce a new Hybrid SIRe (simulation and reflection) Model for instructors to improve counselling skills of counselling students in the practicum course. The Hybrid SIRe Model of teaching is used by instructors, which is a combined approach involving simulation techniques (demonstration and role-play) and reflection techniques. Counselling instructors can utilise this model to establish competency and build self-confidence while conducting counselling sessions with the students.A total of seven counselling students (three males and four females) were selected from the practicum course to test the model. A mixed-method approach was used in this study. The Counselling Self-Estimate Inventory (COSE) by Larson (1992) was employed to measure a mastery level of counselling skills among counselling students. Data were gathered from the counselling instructor’s field notes and counselling students’ reflections. Then, the obtained data were analysed using thematic analysis to explore the experiences of a new teaching method by the counselling instructor. The results showed a significant difference between the initial and final assessment of the COSE by comparing means . In conclusion, the Hybrid SIRe Model of teaching has an excellent benefit for counselling instructors to ensure that the practicum students can master counselling skills, which in turn develop their competence levels, help grow their professional identity and promote a better service in the future.
Milagre, Sinal de Deus
Authors: Moreau Leão José
Published: June 2024

O magistério da Igreja nos apresenta o milagre como um sinal pelo qual Deus nos indica o caminho da Verdade, um sinal pelo qual podemos discernir a autêntica Revelação. “Milagres e profecias, diz o Concílio Vaticano, são sinais da Revelação divina, certíssimos e adaptados à inteligência de todos” (Denz. 1790).
Didactical design to overcome learning obstacles in cuboid volume
Authors: Jamilah Jamilah , Priskila Priskila , Oktaviana Dwi
Published: June 2024

This study aims to produce an empirical didactic design designed to overcome didactic barriers experienced by students on beam volume material. Didactical design research is a design in this study that contains three stages of analysis, namely prospective analysis, metapedadidactic analysis, and retrospective analysis. 25 9th-grade junior high school students and one mathematics teacher were selected using purposive sampling techniques to become subjects. Observation, tests using diagnostic tests, and interviews are techniques in data collection. The collected data is analysed and interpreted qualitatively using interpretive and critical paradigms. The results of this study show that through three stages of analysis, an empirical didactic design was obtained that contains four didactic situations: action situations, formulation situations, validation situations, and institutionalisation situations. However, the limitations of presenting problems in institutionalisation situations have an impact on the occurrence of other learning barriers, namely epistemological concepts. Thus, this limitation becomes an improvement material in empirical didactic design.
Enhancing self-regulated learning and critical thinking in STEM through flipped classroom models
Authors: Setiyawan Ali Akhmad , Agoestanto Arief , Isnarto Isnarto
Published: June 2024

One of the causes of low proficiency among high school students in mathematical critical thinking is their lack of willingness to learn independently. This study investigated the mathematical critical thinking skills and self-regulated learning of high school students through the Flipped Classroom STEM approach. The research employed a sequential explanatory design, beginning with quasi-experimental pre-tests and post-tests for quantitative assessment of the learning process, followed by qualitative methods such as questionnaires, interviews, and observations for deeper analysis. Data analysis utilized quantitative techniques, including normality and homogeneity tests and hypothesis testing in SPSS, alongside qualitative methods for data reduction, data presentation, and conclusion. The findings revealed that flipped classroom learning significantly improved students' abilities in critical mathematical thinking, particularly highlighting the importance of self-regulated learning. There was a notable difference in post-test scores compared to those from traditional learning methods. Moreover, the study found that students with higher self-regulated learning skills were more effective in critical thinking, underscoring the effectiveness of the flipped classroom approach in fostering independent learning and enhancing essential thinking abilities in mathematics education.
Project-based learning through augmented reality-assisted math trails at Blenduk Church to promote mathematical literacy
Authors: Nugroho Muhammad Andi , Yulandari Indriana , Cahyono Adi Nur
Published: June 2024

Mathematical literacy ability is one of the indispensable abilities in the development of mathematics education today. Currently, the mathematical literacy ability of students in Indonesia is still low. In the field of education, the era of society 5.0 has a great impact, so education must be able to produce human resources who have good mathematical literacy and are able to apply technology well with their literacy abilities. This study aims to determine how the quality of a project-based learning model with math trails assisted by augmented reality in the context of Blenduk Church is able to promote students' mathematical literacy. The research method used is design research. The data were analysed using qualitative and quantitative data analysis techniques. Qualitative data analysis techniques were used to analyse the results of student response questionnaires after conducting project-based learning with augmented reality-assisted math trails at Blenduk Church. Meanwhile, quantitative analysis techniques are used to analyse students' mathematical literacy skills obtained from student test results before and after conducting project-based learning with augmented reality-assisted math trails at Blenduk Church. However, further research is needed on the development of augmented reality-assisted learning instruments and media in other contexts to promote students' literacy skills.
Developing mathematics virtual reality based on understanding mathematical concepts
Authors: Anisa Putri Mutiara , Saenih Saenih , Oktaviani Anisa , Pramuditya Surya Amami , Sundawan Mohammad Dadan
Published: June 2024

This research was motivated by students' difficulties understanding the basic concepts of abstract flat-side spatial shapes. So, learning media is needed to help students understand the material that is made interesting by utilising technology in the form of virtual reality. The research aims to determine the development of virtual reality media towards students' conceptual understanding, which has been tested validly and practically, so that it can be used as an active and exciting learning media. The method used in this research is a qualitative approach using the Research and Development method and the ADDIE model using the Millealab application. Participants were eighth-grade students at junior high schools. The outcomes of the research show that virtual reality is an innovative learning media that utilises technological developments in learning media and provides a quick, engaging, and fun understanding so that students can more easily understand mathematical concepts in flat-sided material. Virtual reality learning media has been extensively tested to be valid, practical, and suitable for use in learning. Suggestions for this research can provide an innovative development of virtual learning media, which still has many shortcomings, so that it is much better and produces like learning.
Constructing mathematical bitterness scale related to teacher factor
Authors: Dirgantoro Kurnia Putri Sepdikasari , Soesanto Robert Harry , Yanti Yanti
Published: June 2024

Mathematical bitterness is one of the critical factors influencing students’ mathematical performance, highlighting the need for further action to address its impact.  However, there has been no instrument thus far that can identify mathematical bitterness, particularly one caused by teacher treatment. This research, therefore, aims to construct an instrument to identify the presence of mathematical bitterness. This research involved 307 senior high school and undergraduate students, who were given and responded to a set of 30 questions. The data were then analyzed using confirmatory factor analysis (CFA) through IBM SPSS 20. Confirmatory factor analysis grouped the items into six dimensions (indicators) of mathematical bitterness. Each indicator shows a high Cronbach Alpha result, indicating strong validity in each group of indicators. Overall, the constructed instrument demonstrates strong validity and reliability. This instrument has been successfully constructed and statistically tested, thus making it readily available for use by other scholars interested in investigating mathematical bitterness on a broader scale.
Research trends on early algebra in the middle school: A combined bibliometric and meta-analysis review
Authors: Fardian Dilham , Suryadi Didi , Prabawanto Sufyani , Hayuningrat Silfia
Published: June 2024

The aims of this study is to analyze publications on early algebra in middle schools to contribute to the development of related literature. A total of 234 articles on early algebra published in various Scopus databases between 2013 and 2024 were retrieved and analyzed through a bibliometric analysis approach and 19 articles through a Comprehensive Meta Analysis (CMA). The results showed fluctuating trends in research related to early algebra in middle schools. The surge in publications using VOSviewer and RStudio from 2013 to 2024 did not align with a corresponding increase in average citations, contributing to a stagnation in the average citation per year. The noticeable upward trend in the volume of publications on early algebra since the beginning of 2013 indicates a dynamic and evolving research landscape in this field. This consistency suggests a widespread and sustained interest in early algebra research beyond the confines of a single country, further emphasizing its global relevance and significance. Integrating multimedia technology into early algebra instruction significantly enhances student learning outcomes. Moreover, access to technology and enhanced learning resources through technology integration can play a more crucial role in improving the effectiveness of early algebra learning in countries with lower income levels.
Unlocking mathematical marvels: Exploring number patterns in the Rangku Alu traditional game
Authors: Pangestuti Suci , Prahmana Rully Charitas Indra , Fran Frankie A.
Published: June 2024

Ethnomathematics, an interdisciplinary field at the intersection of cultural studies and mathematics, examines the intricate mathematical practices found within diverse cultural settings. This research focuses on Rangku Alu, a traditional game from Indonesia, to explore its embedded mathematical elements. Using a qualitative ethnographic methodology, the study uncovers the mathematical concepts within the game's cultural context. It traces the origins and cultural importance of Rangku Alu in Manggarai, East Nusa Tenggara, through combining participant observation, interviews, and literature review. The game, which prominently features bamboo, is a staple activity in harvest celebrations and serves as a way to express gratitude. During the game, players engage in synchronized movements that create rhythmic patterns and interactive sequences. The analysis reveals seven distinct numerical patterns, derived from the strikes of bamboo, jumping sequences, and player formations. These patterns include both odd and even sequences, as well as basic arithmetic operations. Rangku Alu not only entertains but also provides a unique setting for exploring numerical concepts. This study highlights the potential of integrating traditional practices like Rangku Alu into mathematics education to promote inclusivity and enhance mathematical understanding in multicultural environments.
Correction to: Hubungan penguasaan perkalian dan pembagian dasar terhadap prestasi belajar matematika siswa kelas VIII SMP PMDS Putra Palopo
Authors: Rahmah Nur , Asnidar Asnidar
Published: June 2024

Correction to: Jurnal Elemen, Vol. 1 No. 1, January 2015, p. 57-69
 https://doi.org/10.29408/jel.v1i1.81
The original version of this article unfortunately contained a mistake. The previous email was not the corresponding author’s email, her email is rnur68845@gmail.com. The original article has been corrected.
The original article can be found online at https://doi.org/10.29408/jel.v1i1.81
Validated HPTLC method development, comparative evaluation and stability study for berberine in herbal preparations
Authors: Mrunal D. Thakare  , M.D. Game
Published: June 2024

The study focusing on the development and validation of a high-performance thin-layer chromatography (HPTLC) method for quantifying berberine in pharmaceutical formulations. Various chromatographic parameters were optimized to ensure precise and reproducible results, including mobile phase composition, linearity range, detection wavelength, and spot characteristics. The method demonstrated high accuracy and linearity within the concentration range of 5 - 35 µg/mL, with a determined Rf value of 0.52±0.02 for berberine. Additionally, stability studies revealed that berberine underwent degradation under all stress conditions examined.
End to end encryption of chat using advanced encryption standard-256
Authors: Ansh Goel  , Harshit Baliyan  , Shivam Tyagi  , Neeti Bansal
Published: June 2024

In an era marked by rampant digitalization and ubiquitous connectivity, ensuring the security and privacy of communications has become paramount. This paper introduces a novel application developed using Node.js, designed to address this pressing need by offering a secure means of converting plain text into cipher text. At its core, the application employs the Advanced Encryption Standard (AES) with a key length of 256 bits, a widely acclaimed cryptographic algorithm known for its robustness and reliability. The primary objective of this research is to provide a comprehensive solution for secure communication between two users, leveraging the formidable encryption capabilities of AES 256. By harnessing the power of Node.js, a popular and versatile runtime environment, the application achieves scalability, efficiency, and cross-platform compatibility, thus catering to diverse user needs and preferences. The architecture of the application is carefully crafted to ensure seamless integration of AES 256 encryption, enabling users to exchange messages with confidence in their confidentiality and integrity. Through a user-friendly interface, individuals can input plain text messages, which are then encrypted using AES 256 with a shared secret key. The resulting cipher text can be securely transmitted over various communication channels, safeguarding sensitive information from unauthorized access and interception. Key aspects of the application's design and implementation are elucidated in this paper, encompassing data encryption, decryption, and key management mechanisms. Special emphasis is placed on the cryptographic principles underpinning AES 256 encryption, elucidating its role in fortifying communication security. Moreover, the integration of Node.js facilitates real time communication capabilities, allowing users to exchange encrypted messages swiftly and efficiently. In summary, the research presented herein offers a comprehensive exploration of a Node.js-based application for secure communication using AES 256 encryption. By combining cutting-edge cryptographic techniques with a robust software architecture, the application represents a significant stride towards fortifying the security and privacy of digital communications in an increasingly interconnected world.
Air quality sensing and monitoring
Authors: Venkatesh Shankar  , Poornima Raikar  , Rakshita R Devaraddi  , Savio Rebello  , Bharggav S Gondakar  , Jonathan W David
Published: June 2024

With growing transportation and population density, increasing global warming, and sudden climate change, air quality is one of the critical measures that need to be monitored closely on a real-time basis in today’s urban ecosystems. This paper examines the issues, infrastructure, information processing, and challenges of designing and implementing an integrated sensing system for real-time indoor and outdoor air quality monitoring. The system aims to detect the levels of gases, carbon monoxide (CO), carbon dioxide (CO2), temperature, and humidity on a real-time basis and provides an overall air quality alert. The development of the system for real-time monitoring and alerting is validated and supported through conducted experiments.
Thermal shock: A flange leakage cause
Authors: Ashish Goyal
Published: June 2024

Flange leakage due to thermal shock is a critical issue in piping systems. This paper presents a comprehensive case study on the impact of thermal shock on flange leakage in piping systems. It explores the phenomenon where a sudden increase in operating temperature can compromise the integrity of flanged joints, leading to leakage. The study delves into the thermal response of flanges and how it can precipitate a loss of bolt loading, resulting in a decrease in gasket seating pressure. Through detailed analysis, the paper discusses the steady-state operation of flanges, temperature variations within piping systems, and the events of thermal transients. It further evaluates the effects of forced displacement on bolt stress and the subsequent impact on flange stability.
Examination of the relationship between change in work goals and the employee morale in private Universities in Western Kenya
Authors: James Mariba Kerangani  , Kennedy Odhiambo Odwaro  , Bernard Anjili Ondere  , Jacob Apoll Ochieng  , Esther Adhiambo Oyier  , Bernard Nyaoro Oduor  , Agnes Namayanja  , Donald Indiya Gulali
Published: June 2024

Literature suggests that various workplace changes in private universities, such as technology, communication methods, employee transfers, work goals, marketing, and operational costs, are interconnected. In Kenyan private universities, up to 50% of the workforce merely performs expected tasks, with research indicating that 47% of employees spend most of their work hours on social media. Employee turnover is recorded at 43%, but the underlying cause of these issues remains unknown (Kariuki, N. & Makori, M., 2015). It is also unclear whether these changes significantly impact employee morale in Kenyan private universities. This study specifically examined the relationship between changes in work goals and employee morale in private universities in western Kenya. The conclusions could be beneficial to various stakeholders in Kenya's private universities. The study was based on Goal Setting Theory, Job Characteristic Theory and used a correlational research design, targeting 1,440 faculty and staff members across four selected universities. Stratified random sampling was employed to select a sample of 313 workers from different departments. Data was collected through questionnaires and analyzed using Excel and SPSS tools, with frequency tables and charts used for data presentation. The results indicated a negative relationship between changes in work goals and employee morale (β=-.678, p<.05), accounting for 46.0% of the variance in employee morale (R2=.460, p<.05). The study concluded that changes in work goals significantly affect employee morale and recommended that private universities prepare their employees in advance for such changes.
Artificial intelligence voice assistant and home automation
Authors: Shubham Singh  , Shubham Singh Panwar  , Harsh Dahiya  , Khushboo
Published: June 2024

In the realm of artificial intelligence (AI), the fusion of A.I. voice assistants with home automation has revolutionized the way humans interact with and control their living spaces. A.I. voice assistants, powered by sophisticated natural language processing algorithms, seamlessly interpret user commands and queries, enabling a fluid and intuitive communication channel between individuals and their smart homes. Through advanced machine learning models, these assistants continually evolve, adapting to user preferences and refining their capabilities over time. The symbiotic integration of A.I. voice assistants and home automation systems transcends conventional paradigms, ushering in an era where users can effortlessly manage diverse aspects of their home environment with a mere vocal prompt. This transformative synergy not only enhances the efficiency of daily tasks but also augments accessibility, making smart home technology more inclusive for users with varying levels of technical expertise. As A.I. voice assistants continue to evolve, their role in home automation stands as a testament to the profound impact of artificial intelligence on shaping the future of modern living.
Clinico-epidemiological profile of children presenting with enuresis
Authors: Poornima Modi  , Ritu Agarwal  , Leena Singhal
Published: June 2024

Introduction: Nocturnal enuresis is a fairly common problem in children. The world -wide prevalence is reported as 1.4% to 28% in children aged 6 to 12 years. In India the prevalence is between 7.6% to 16.3% being higher in 5 to 8 years of age and it decreases as age advances and is lower in 6 to 11 years age group [1,2]. It is a cause of lot of anxiety both in children as well as parents which partly stems from lack of understanding of the normal maturational process of bladder control. Materials and methods: To study the clinico-epidemiological profile of children with enuresis a prospective analytical cohort study was carried out from May 2023 to October 2023. Children above 5 years of age presenting with enuresis in outpatient department were enrolled in the study. After taking informed written consent from the parents, a questionnaire regarding their symptoms was filled followed by a detailed clinical examination. The results thereafter were analysed statistically. Results: maximum age group of presentation was 5 to 7 years with prevalence decreasing with increasing age. Most of the case were non- monosymptomatic enuresis with maximum children having overactive bladder. The prevalence of overactive bladder was also higher in girls than boys with a p value of 0.01. Conclusion: enuresis is a common problem in paediatric age group and a cause of significant stress among children. Most case are non-monosymptomatic where proper identification of the cause can cure enuresis and relieve a lot of stress related to it.
Intravenous urography findings among patients with uterine fibroid - is intravenous urography a necessity?
Authors: Vivian Ndidi Akagbue  , Chidinma Wekhe
Published: June 2024

Background: Uterine fibroid is a common tumor seen in Nigerian women and conventional intravenous urography (IVU) is used in evaluating urinary system before surgical intervention. Aim: This study is aimed at evaluating the usefulness of IVU in the uterine fibroid or is to know if IVU is necessary in patients with uterine fibroid. Study design and settings: A retrospective, observational study was conducted in the Radiology Department of Rivers State University Teaching Hospital (RSUTH). From 1st May 2021 to 31st May 2023. Data analysis: Data were analyzed using SPSS 21.0 version. The level of statistical significance was set at p<0.05. Results: A total of 100 data were analyzed. The age of the study group was ≤35 years and ≥ 35 years. This study shows that urinary bladder indentation is the commonest finding (78%) due to pressure effect from the uterine fibroids. The second commonest finding was hydronephrosis(n=52). Grade 2 is the commonest(n=22) while grade 4(n=1) is the least. Conclusion: This study shows that urinary bladder indentation is the commonest finding due to pressure effect from the uterine fibroids. The second commonest finding was hydronephrosis. Grade 2 is the commonest while grade 4 is the least. This showed that IVU is necessary in the preoperative evaluation of patients with uterine fibroids.
Advancement of ai-tools in learning for technical vocational education and training (TVET) in Malaysia (empowering students and tutor)
Authors: Mohammad Aniq Bin Amdan  , Naldo Janius  , Mohd Norhazli Bin Jasman  , Mohd Aidil Hazidi Bin Kasdiah
Published: June 2024

The potential of Artificial Intelligence (AI) in Technical and Vocational Education and Training (TVET) in Malaysia, has an advantage in Education. Given the swift progress of AI technology, Malaysia’s TVET sector can utilise AI-assisted learning to improve teaching and learning. Malaysia’s TVET institutions can enhance skill acquisition among students by adopting advanced tools like adaptive learning algorithms, virtual simulations, and intelligent tutoring systems, which cater to diverse learning styles. Nevertheless, like any other area, Malaysia encounters obstacles such as ethical dilemmas, digital inequality, and the necessity for enhancing skills in implementing AI-supported learning in TVET. To fully capitalise on the advantages of AI in educational sector, it is imperative to tackle these challenges. By surmounting these challenges and adopting AI-assisted education, TVET sector can initiate a profound transformation aimed at enhancing educational achievements, promoting innovation, and equipping the workforce with the necessary skills for the modern economy.
Cancer stigma among the caregivers of cancer patients, a cross-sectional study from a secondary care hospital in Andhra Pradesh, South India
Authors: S. Mohana Priya  , Annie Elizabeth T
Published: June 2024

Background: The burden of cancer is growing globally, with rising rates of incidence and mortality. Given the increasing Cancer rates in India, understanding the burden of cancer on patients and their caregivers is important to improving access to care and social support as it is considered one among the potential barriers to care and support. Objective: The study was intended to assess the cancer stigma among the primary caregivers of patients diagnosed with cancer and to determine the association between the cancer stigma and the selected demographic variables. Methodology: Using quantitative approach, a descriptive study was undertaken for a period of one month. A total of 54 primary caregivers of patients diagnosed with cancer were recruited using total enumeration sampling technique. Data was collected using self-administered questionnaire consisting of demographic profile and cancer stigma scale (CASS) from the primary caregivers of cancer patients. Results: Levels of stigma were low but varied across the six sub scales. Items related to the severity of cancer diagnosis attracted the highest levels of disagreement (mean – 12.9 and SD – 7.0). More number of subjects agreed that getting cancer is not related to personal responsibility (mean – 8.7 and SD – 5.8). Most of them agreed that there should not be financial discrimination for patients diagnosed with cancer and banks, insurance companies should support treatment (mean – 8.5 and SD – 4.7). Conclusion: Caregivers of cancer patients have low levels of stigma however, majority of the subjects agreed for the statements that more government funding should be spent on the care for people with cancer and insurance companies to reconsider a policy if someone has cancer.
A review on predictive model for Autisim spectrum disorder
Authors: Divya Chilukuri  , Akhila Tejaswini. K  , Prathyusha. K  , Anjali. N
Published: June 2024

In present day Autism Spectrum Disorder (ASD) is becoming more often, but testing for it is expensive and slow. However, with the help of machine learning (ML) algorithms, we can predict autism in the early stages. So far different Machine Learning algorithms are used to predict Autism in early stages but those are not for both adults and children. So, there is a new prediction model using machine learning by creating a mobile app for predicting autism in people of any age. This model combines two algorithms, Random Forest-CART and Random Forest-ID3, to improve accuracy.
Design and fabrication of a helical vertical axis wind turbine for electricity supply
Authors: Evan Shahriar  , Md. Mainuddin Sagar  , Md. Rezwan Alam  , Kazi Afzalur Rahman
Published: June 2024

In an effort to find solutions for global energy crisis, an analysis on a helical vertical axis wind turbine was conducted with the consideration of renewables and energy efficiency. This study was carried out in two steps: the realization of the analytical calculation of a helical wind turbine power output which then informed the design and construction of the rotor blades. The paper particularly aimed to address its use as the electricity supply for residential properties or any other places with less ideal economy conditions. The uncomplicated and highly accessible mechanism using basic materials is to give people to have a viable option on their own electricity production. The world is increasingly going green in its energy use. Wind power is a green renewable source of energy that can compete effectively with fossil fuel as a generator of power in the electricity market. For this effective competition, the production cost must be comparable to that of fossil fuels or other sources of energy. The initial capital investment in wind power goes to machine and the supporting infrastructure. Any factors that lead to decrease in cost of energy such as turbine design, construction and operation are key to making wind power competitive as an alternative source of energy.
Toxic optic neuropathy due to methanol: About two cases
Authors: Hajar MOURABITI  , Sahar AMRANI HANCHI  , Hasnae HOUMMANI  , Sanae ACHOUR
Published: June 2024

Ingesting methanol voluntarily or accidentally can result in irreversible optic neuropathy or death. This report discusses two patients admitted to the Hassan II University Hospital Center in Fes after methanol intoxication. Both patients experienced gastrointestinal and neurological symptoms, including severe metabolic acidosis. Despite undergoing treatments like hemodialysis, they suffered permanent visual impairment. While methanol-induced optic neuropathy is less frequent nowadays, complete recovery without long-term effects has only been observed in cases of mild poisoning and early treatment. This study emphasizes the importance of early diagnosis and tailored treatment to minimize the severe consequences of methanol poisoning.
The convergence of artificial intelligence, blockchain and fintech in energy, oil and gas trading: Increasing efficiency, transparency and automations
Authors: Syed Tanveer Alam
Published: June 2024

Artificial intelligence (AI) and blockchain technology, in conjunction with Financial Technology (Fintech), are playing an increasingly significant role in shaping global Energy Trading trends. The combined use of blockchain, AI, and Fintech introduces innovative features that have the potential to improve the efficiency and performance of current systems. This study provides insights into the key features of the intersection of AI, blockchain, and Fintech, such as data security, encryption, sharing, efficiency, collective decision-making, decentralized intelligent systems, transparency, automated decision systems, and financial applications. By analyzing literature from major digital databases, this technological convergence was constructed via the emerging era, convergence era and application era. In the convergence era, features were categorized into data manipulation, regulations, applicability to legacy systems, compatibility and hardware issues. The application era explores the impact of this technology fusion in areas like cybersecurity, finance, energy, Internet of Things applications, and smart cities. This comprehensive analysis helps outline the timeline of AI, blockchain, and Fintech convergence and highlights the unique characteristics of their integration. The paper concludes by addressing the current challenges and how it is increasing efficiency, transparency and automation of AI, blockchain, and Fintech in energy trading and also in the sector of energy trading i.e. electricity, gas, oil and non renewable energies. AI enables predictive analytics and automation, blockchain ensures secure and transparent transactions, and FinTech facilitates seamless financial transactions and risk management in energy trading. The convergence revolutionizes energy trading.