bluuebunny/crossref_metadata_2025 huggingface dataset:
Precast Girder Management During the Erection Process: A Review
Authors: Jethwa Hardik , J. R. Pitroda Prof. (Dr.) , Raichura Prof. C. S , Poriya Nikhil
Published: November 2024

With a focus on their use in bridge
building, the study examines the procedures, methods,

and factors that go into erecting precast girders. Large-
scale infrastructure projects require precast girders

because of their effectiveness and quality, which
guarantee less time spent on building sites and less
labor. The paper covers several precast girder types,
including segmental, box, U, and I girders, and how
project needs determine which type is best for a given
project. It compares the applicability, benefits, and
drawbacks of several erection techniques, such as
span-by-span, full-span, and gradual launching.
Frameworks such as HIRARC are used to examine the
risks related to the erection process, including site
logistics, equipment management, and safety
precautions. Case studies shed light on difficulties
encountered during girder building and give guidance
for improving quality and safety. Recommendations
for improving construction methods and guaranteeing
structural integrity in precast girder constructions are
included in the paper's conclusion.
Keywords—Precast, Precast girder, Erection,
Launching Techniques, Span by Span
Voice Activated Clap Switch using Arduino with AI Technology
Authors:   Prof. Ramkrishna More College(Autonomous) Pradhikaran Akurdi, Pune, India, Gorde Vikas Shivaji , Dhamal Prof. Ankush ,   Prof. Ramkrishna More College(Autonomous) Pradhikaran Akurdi, Pune, India
Published: November 2024

The development of a voice-activated clap switch
system that incorporates Artificial Intelligence (AI) and
Arduino technology holds significant potential for
advancing smart home automation, particularly for
individuals with disabilities and the elderly. In India,
4.3% of the population has disabilities, and 10.5% are
over the age of 60 (Ministry of Statistics and
Programme Implementation, 2021), highlighting the
need for accessible technologies that facilitate
independent living. Traditional clap switches, which
rely solely on sound intensity detection, are prone to
false triggers and background noise interference,
limiting their reliability and effectiveness (Smith et al.,
2020). This paper presents an AI-enhanced clap switch
system capable of recognizing specific sound patterns,
enabling it to accurately distinguish claps from other
noises while also supporting voice commands for
improved control and accessibility. The methodology
involves collecting sound data, training an AI model to
identify claps and process voice commands, and
deploying the model on an Arduino microcontroller that
controls a relay for appliance operation. Experimental
results show that the AI-powered system significantly
reduces false activations in noisy environments,
providing a reliable, energy-efficient, and hands-free
solution for smart homes, particularly benefiting users
who require enhanced accessibility in their living
spaces.

Keywords:
Voice Command, Clap Switch, AI, Smart Home
Automation, Arduino.
Navigating Industry 4.0: Exploring the Impact of AI on Employment & Jobs in India
Authors: Atul Kumar Atul Kumar* , Kumar Rajeev , Raghuvanshi Pooja
Published: November 2024

The advent of Industry 4.0, characterized by the integration of cutting-edge technologies, has ushered in a
transformative era for global economies. In India, a nation renowned for its diverse labor force and burgeoning
technology sector, the rapid proliferation of Artificial Intelligence (AI) technologies is reshaping the employment
landscape. This research paper aims to comprehensively investigate the multifaceted impact of AI on employment
and jobs in India.
Through a meticulous analysis of existing literature, this study ascertains the current state of AI adoption in Indian
industries and identifies the sectors most vulnerable to AI-induced disruptions. It also scrutinizes the various
dimensions of AI's influence on employment, including the creation of new job categories, augmentation of existing
roles, and potential job displacement. Furthermore, the study delves into the factors influencing the pace and scale
of AI adoption, such as regulatory frameworks, infrastructure, and educational preparedness.
To provide a holistic perspective, secondary data encompassing a diverse range of industries and geographical
regions within India has been reviewed. This empirical research facilitates an in-depth understanding of the attitudes,
challenges, and opportunities employers and employees encounter amidst the AI revolution.
In addition, this research evaluates the role of government policies and initiatives in mitigating the negative
consequences of AI disruption, including workforce upskilling and reskilling programs. Furthermore, it explores the
potential for AI to drive economic growth and job creation through innovation and productivity gains.
The findings of this study contribute to a nuanced comprehension of the AI-driven transformation of India's job
market, offering insights that are invaluable to policymakers, business leaders, educators, and workers alike.
Ultimately, this research seeks to guide India's journey through Industry 4.0 by elucidating the strategies needed to
harness AI's potential as a force for economic progress while addressing the challenges it poses to employment
stability and societal well-being.

Keywords
Industry 4.0, Artificial Intelligence (AI), Job displacement, Educational preparedness, AI revolution, Workforce
upskilling, Reskilling Programs, Economic Growth, Job Creation, Innovation, Productivity Gains, AI-Driven
Transformation, Economic Progress, Employment Stability, Societal Well-Being.
Application of Ordinary Differential Equation
Authors: S.N.More Prof.Mrs
Published: November 2024

Abstract –This paper deals with various applications of
Ordinary Differential Equation(ODE) in engineering. It is
useful in many engineering problems. It is used to calculate
movement or flow of electricity, motion of objects like
pendulum. Also it is useful to explain thermodynamics
concepts. It is useful in various physical phenomena’s. Thus,
It has wide range of applications.
Key Words: Ordinary Differential Equation (ODE), Electrical
Circuits, Simple Harmonic Motion, Newton’s Law of
Cooling, Rate of Decay
Design and Implementation of a High-Performance VLSI Architecture for Canonical Huffman Encoding
Authors: R Lavanya , V I Kartik , G K Madhusudhan , H Chinnu , A T Makasud
Published: November 2024

A key component of contemporary computer
systems, data compression makes it possible for information to
be stored and transmitted efficiently. A popular technique for
lossless data compression, Huffman coding can drastically cut
down on data size without sacrificing intensity. But
conventional Huffman encoding techniques can have
scalability and speed issues, especially when used in hardware.
A high-throughput Very Large-Scale Integration (VLSI) design
for a Canonical Huffman Encoder is shown in this study. To
accomplish quick and effective encoding, the suggested
approach makes use of parallel processing and improved
algorithms. The system's use of the canonical Huffman
algorithm lowers computational complexity and streamlines
hardware implementation without sacrificing compression
performance. The architecture incorporates real-time
operation-optimized modules for frequency analysis, code
generation, and symbol encoding. Results from simulations
show that the suggested design achieves significantly higher
throughput compared to conventional approaches, making it
suitable for applications in data storage, multimedia, and
communication systems. This study contributes to advancing
VLSI designs for high-performance hardware
Key Words: Data Compression, Huffman Coding, Lossless
Compression, Very Large-Scale Integration (VLSI), Canonical
Huffman Encoder, High-Throughput Encoding, Parallel
Processing, Efficient Encoding, Hardware Implementation,
Computational Complexity, Code Generation, Symbol
Encoding, Frequency Analysis, Real-Time Operation,
Throughput Optimization, Multimedia Systems,
Communication Systems, Data Storage, Hardware
Architecture, VLSI Design, Performance Optimization,
Simulations, Compression Performance, Hardware Design,
Throughput Enhancement, System-Level Optimization, Power
Efficiency, Resource Management, Data Transfer Efficiency,
Low-Cost Implementation.
THE EFFECT OF SUSTAINABILITY REPORT DISCLOSURE AND COMPANY SIZE ON MARKET REACTION MODERATED BY SUSTAINABILITY REPORT ASSURANCE IN COMPANIES LISTED ON THE INDONESIAN STOCK EXCHANGE IN 2019 - 2023
Authors: Fadilla Nadya , Yenti Riza Reni
Published: November 2024

This study is inspired by the need to share sustainability data to boost investor trust, particularly in the face of challenges related to upholding a favorable corporate reputation. The main goal of this study is to investigate the effect of revealing sustainability reports and the company's size on market reaction, considering the role of sustainability report assurance as a moderating element. The research relies on data from sustainability and financial reports of companies on the Indonesia Stock Exchange between 2019 and 2023. Researcher employed multiple linear regression and Moderated Regression Analysis (MRA) as the analysis techniques. The findings showed that sustainability report disclosure has a significant effect on market reaction, while company size does not show a significant effect. In addition, sustainability report assurance is unable to moderate the relationship between sustainability report disclosure and market reaction. This study underscores the importance of comprehensive sustainability report disclosure to attract positive market reactions, although the role of assurance still needs to be improved. The implication of this research is the need for companies to strengthen sustainability reporting in accordance with international guidelines and consider additional strategies to increase credibility and investor appeal.
Evaluation of electrical substation automation operational parameters: A systematic literature review
Authors: Mgenge Mandlenkosi , Swanepoel Jan Adrian , Muvunzi Rumbidzai , Daniyan Ilesanmi Afolabi
Published: November 2024

The need to address inadequate power supply led to the development of automation strategies to improve the efficiency of power substation. This study conducts a systematic literature on the automation of operational parameters in electrical substation. Initially, 84 articles were retrieved from online as articles and grey literature. Upon the implementation of the inclusion criteria, 31 articles were selected and reviewed due to the fact that their focus and finding match with the aim of this study. The outcome of this study indicates that one of the recent advances in the automation of power substation is the development and implementation of the International Electro-technical Commission (IEC) 61850 standard. The standard boasts of several advantages such high compatibility, interoperability, cyber security features, efficiency, reliability, scalability and centralised control. However, some of its challenges includes time synchronisation standardisation of its testing procedure as well as integration into the communication network architecture.   The study may promote the reliability of electrical protection, to reduce load-shedding incidences. It may also assist utilities and other electrical energy industries to better grasp how the automation protocol utilised affects substation efficiency.
Influence of emotional intelligence on the academic performance of students at a national university in Perú
Authors: Barra-Quispe David Eleazar , Mamani-Flores Adderly , Atencio-Mendoza Claudia María Ricardina , Ferro-Supo Francis Walter , Chura-Flores Juan Carlos , Huanacuni-Zapana Tony Henry , Huanca-Quispe Samuel , Florez-Florez Osmar Jose
Published: November 2024

Emotions can be both a help and a hindrance when studying, it is easy to fall into the mistake that there are "good" emotions and "bad" emotions. However, optimism could turn into self-esteem, when we think that we already know everything and will do very well, and we "let go of the reins" much sooner than necessary. To do this, the emotional state and its possible interference in academic performance must be studied. The objective was to assess the correlation of the level of emotional intelligence and the academic performance of the students of the Professional School of Anthropology of the UNA - Puno. It is at the relational level of inquiry; it is quantitative, analytical, observational, prospective and cross-sectional. We worked with 256 university students from I to VIII semester 2020-II, a virtual self-assessment questionnaire of Emily Sterrett's emotional intelligence was used, and the final average of the semester was collected. As a result, through the Chi-square statistical test, the statistical correspondence of 4 areas of emotional intelligence (emotional self-awareness, emotional self-confidence, self-control capacity and social competence) with academic performance was evidenced.
Role of computer vision and deep learning algorithms in livestock behavioural recognition: A state-of-the-art- review
Authors: Fatoki Olawuyi , Tu Chunling , Hans Robert , Bello Rotimi-Williams
Published: November 2024

The increasing demand for sustainable livestock products necessitates a re-evaluation of animal production and breeding practices. Contemporary breeding programs now integrate animal phenotypic behaviors due to their considerable influence on productivity, health, and welfare, which ultimately impact industry yield and economic outcomes. Monitoring animal behavior manually is challenging and subjective, especially in continuous or large-scale operations, as it is time-consuming and labor-intensive. Consequently, computer vision technology has attracted attention for its objectivity, non-invasiveness, and capacity for continuous monitoring. However, recognizing livestock behavior using computer vision remains difficult due to complex scenes and varying conditions, hindering its widespread adoption in the industry. Deep learning technology has emerged as a promising solution, mitigating some of these challenges and enhancing the recognition of livestock behaviors. This paper reviews recent advancements in computer vision methods for detecting behaviors in livestock such as cattle with an emphasis on behaviors critical for health, welfare, and productivity. It investigates the development of both traditional computer vision and deep learning techniques for image segmentation, identification, and behavior recognition.  The review explores the development of research trends in livestock behavior recognition, focusing on improvements in reliable identification algorithms, the analysis of behaviors at different growth stages, the measurement of behavioral data, and the design of systems to evaluate welfare, health, growth, and development.
A joint development of an e-learning management system with the IAEA: Transitioning from an on-premises hosting system to a cloud-based system
Authors: Kim Hyeon-Jin , Kim Kyoung-Pyo , Jeong Ik
Published: November 2024

The establishment of a Learning Management System (LMS) is a critical foundation for effective teaching and learning in virtual environments, enabling active participation by educators and learners. This study investigates the transition from self-hosted to cloud-based LMSs, focusing on a collaborative project between the Korea Atomic Energy Research Institute (KAERI) and the International Atomic Energy Agency (IAEA) initiated in late 2010. Using a three-step Focus Group Interview (FGI) process involving six experts in e-learning and human resource development (HRD), the study identifies latent elements and evaluates factors based on the Content Validity Ratio (CVR). Key findings highlight scalability, cost-effectiveness, integration with current systems, support for a variety of learning formats, and improved collaboration and communication, with a particular emphasis on supporting varied learning modalities and cost efficiency. The results indicate that cloud-based LMSs provide significant cost advantages for public institutions and meet the diverse educational needs of students. Cost reduction and adaptability to global enterprise collaboration emerge as crucial considerations for LMS adoption in public-sector settings.
The influence of internal marketing strategies on organizational employees retention? A case study in the touristic sector
Authors: Romana Fernando , Gestoso Carlos
Published: November 2024

This study aims to understand the influence of internal marketing practices on employee’s retention at the Jupiter Marina Hotel (JMH), a hotel unit belonging to the Jupiter Hotel Group. Through a hybrid investigation approach (quantitative and qualitative). Talent retention is achieved based on the conceptual model. By comparing the two types of investigation, it is evident that internal marketing practices have a significant impact on talent retention, measuring it through concepts such as satisfaction, engagement, and commitment. Thus, the conclusion is reached that through the good practice of these three concepts, the impact on talent retention at JMH is of great magnitude, with most of its team being constituted through their return to the organization.
Machine learning for phonological analysis: A case study in gender prediction
Authors: Tamimi Yasser A. Al , Tadj Lotfi
Published: November 2024

Al Tamimi and Smith (2023) use a conventional phonological framework to investigate gender differentiation in a corpus of 656 Saudi Arabian first names. Their findings suggest that no single phonological feature—such as the number of phonemes, syllable structure (open vs. closed), stress patterns, or the voicing of initial and final consonants—can definitively determine gender. However, a combination of these features can collectively facilitate accurate gender identification. Expanding on this premise, the current study integrates phonological analysis with machine learning, employing both supervised techniques (e.g., Naïve Bayes) and unsupervised methods (e.g., k-Means Clustering) to explore whether machine learning can effectively predict gender based on these phonological characteristics. Specifically, this study compares the performance of classification methods—Gradient Boosting Machine (GBM), Random Forest, and k-Nearest Neighbors (k-NN)—against clustering methods, including hierarchical clustering and DBSCAN. The methodology involves a detailed analysis of model performance metrics, such as accuracy, F1 scores, and clustering indices, to comprehensively evaluate the accuracy and effectiveness of each approach in gender classification. The results indicate that classification methods significantly outperform clustering approaches, with the GBM model demonstrating particularly high accuracy and balanced performance across genders. In contrast, clustering methods struggled, particularly in classifying male names, due to their reliance on similarity-based grouping rather than explicit class labeling. These findings suggest that while clustering methods may be helpful to for exploratory data analysis, they are inadequate for precise gender classification. The study's implications highlight the critical importance of selecting appropriate methodologies for classification tasks, demonstrating the superiority of classification models in gender prediction.
Factors affecting entrepreneurial efforts of ethnic minority women: Case study of the Hmong community in Vietnam
Authors: Hoa Le Anh , Thanh Nguyen Nghi
Published: November 2024

The topic explored in this study is the issues related to the entrepreneurial activities of Hmong women in Vietnam, which has been minimally addressed in the literature. A quantitative study design, involving a survey administration to Hmong women involved in entrepreneurial activity, was used to identify the influence of empowerment and personal development, community development and modeling, cultural preservation through entrepreneurship, and economic impact and social change. Evidence from the study indicates that these areas are significant factors explaining motivation and entrepreneurial activities, as well as the role of personal empowerment, community support, cultural integration, and socio-economic context. The conclusion is that entrepreneurship for Hmong women in Vietnam is a contested site and the influence of factors motivating such entrepreneurial activity transcends economic motivations and is situated in personal and cultural development and social engagement relating to socio-economic factors. The findings are important for the development of policies and practices aimed at the support of Hmong women entrepreneurs, and suggest policies and practices should consider social and cultural areas of entrepreneurial activity. Further study should extend this research to a consideration of Indigenous groups and the inquiring of factors motivating entrepreneurial activity through a qualitative study design.
Digital transformation in finance: Examining economic development strategies through the lens of crowdfunding
Authors: Sallami Mourad , Inoubli Chiheb Eddine
Published: November 2024

This research investigates the challenges obstructing the integration of crowdfunding into the national economy as a tool for economic development. In 2018, the Central Bank of Tunisia explored the use of crowdfunding for innovative startups, initiating fundraising efforts after a meeting with the governor and members of the Tunisian diaspora. Drawing from 10 semi-structured interviews, each averaging 1 hour and 10 minutes, as well as an analysis of crowdfunding platforms such as Cofundy and Afrikwity, and a review of blogs and social networks, the study identifies both internal and external barriers. Internal obstacles include a lack of trust and poor coordination among participants, while external challenges involve the absence of a legal framework, limited state support, and insufficient market information. The findings suggest that while these barriers pose significant difficulties, they are not insurmountable, highlighting opportunities for improvement in policy and market structures to foster the growth of crowdfunding in Tunisia.
A Review of The Effects Of Light-Emitting Diodes (LEDs) on The Growth of Sunflower Microgreens and Their Nutritional Potential
Authors: Subramaniam Sreeramanan , Chew Hong Lim
Published: November 2024

Sunflower (Helianthus annuus) microgreens have become known as a potent source of essential nutrients and bioactive compounds with numerous health benefits. The microgreens industry has traditionally favored popular microgreens from the Brassicaceae family such as kale, rocket, and broccoli. Sunflower microgreens are characterized by their richness in vitamins, minerals, antioxidants, and phytochemicals that contribute significantly to a nutritious diet. However, their nutrient content can be influenced by various factors, including growing conditions and lighting. Light-emitting diodes (LEDs) offer precise control of light spectrum, light intensity, and lighting duration, enabling customized lighting systems optimized for growing sunflower microgreens. Pre-treatment and optimal harvest timing affect the quality and yield of microgreens, and sunflower microgreens are no exception. Accordingly, sunflower microgreens are typically harvested within 7 days of cultivation, making them ideal for mass production. The use of LED technology in the cultivation of microgreens offers the opportunity to further enhance their nutritional value and therapeutic potential. This review provides an overview of the benefits of sunflowers, sunflower microgreens, pre-treatments, and the ideal harvest period. The potential improvements from LED lighting are discussed and its impact on human health is explained.
Enhanced Rice (Oryza sativa L.) Plant Growth and Nutrient Contents During The Vegetative Stage Through Zinc Solubilizing Bacterial Bead Inoculation
Authors: Ramly Irsyad Sulaimi , Othman Nur Maizatul Idayu , Shamsuddin Aida Soraya , Zuan Ali Tan Kee , Zakaria Nor Hafizah , Abdul Majid Fadzilah Adibah , Hamid Nur' Amira
Published: November 2024

Zinc-solubilizing bacteria (ZSB) can increase zinc bioavailability in soil and transform insoluble zinc into an accessible form, which helps reduce crop zinc deficiencies, simultaneously improving soil fertility and crop nutrition. The effects of two ZSB strains, Acinetobacter nosocomialis (SR R-10) and Acinetobacter seifertii (SR-12) were evaluated in the present study on the rice plant growth and nutrient contents using the bead inoculation method. A completely randomized design (CRD) was employed and four treatments were applied: 1) non-inoculated (control), 2) SR R-10 strain, 3) SR R-12 strain, and 4) mixed inoculation of SR R-10 and SR R-12 strains. After 40 days of sowing, the growth parameters were measured. The results revealed that SR R-10 inoculant enhanced the growth by producing the tallest plant (63.47 ± 1.87 cm) and longest root (19.93 ± 0.48 cm). SR R-10-treated plants also showed the highest leaf count (32 ± 0.58 leaves) and Soil Plant Analysis Development (SPAD) value (32.67 ± 1.59). The mixed inoculant showed synergistic benefits, indicated by the higher plant height, SPAD reading, and leaf count, compared to the non-inoculated treatment. SR R-10 and mixed inoculant increased plant biomass, measuring 4.67 ± 0.30 g and 4.40 ± 0.28 g, respectively, compared to non-inoculated plants (3.19 ± 0.17 g). For nutrient content, plants with SR R-10 inoculation showed the highest concentration of nitrogen (2.24 ± 0.00%), phosphorus (0.24 ± 0.00%), potassium (2.79 ± 0.03%), and zinc (59.51 ± 2.69 mg kg-1). Mixed inoculant also improved soil fertility by increasing the available Zn (6.17 mg kg-1) in the soil, however, it lowered the soil pH to pH 5.8. These findings highlight the potential of ZSB, particularly A. nosocomialis (SR R-10), to improve rice plant’s growth and nutritional quality and increase the bioavailability of zinc in the soil to promote sustainable agricultural practices.
Ultrasonic-Assisted Extraction of Phenolic Compound From Harumanis Mango Leaves (Mangifera indica) Using Green Natural Deep Eutectic Solvents (NADESs)
Authors: Abdul Rahman Ahmad Mukhlis , Peron Ryan Vitthaya , Abu Bakar Amirul Ridzuan , Jaafar Muhammad Syaffiq Syazwan , Ang Qian Yee , Mohd Zainudin Mohd Asraf , Nik Daud Nik Muhammad Azhar , Gunny Ahmad Anas Nagoor , Khairuddin Nurul Husna
Published: November 2024

Harumanis mangoes, known for their taste and nutrition, are a symbol of Perlis, Malaysia. Natural Deep Eutectic Solvents (NADESs) are being studied for eco-friendly extraction methods. There is limited information on green extraction from Harumanis mango leaves, and NADESs have not been used for this purpose. This study aims to evaluate the green extraction of phenolic compounds from Harumanis mango leaves using five NADESs systems, assess the phytochemical composition, and test their antimicrobial potential. These NADESs were prepared by heating and stirring their components until a clear solution was formed. The extraction yields of NADESs were compared with conventional solvents like 100% ethanol, 100% methanol, 50% ethanol, and 50% methanol for extracting phenolic compounds. The chosen NADES was processed with Ultrasonic Assisted Extraction (UAE). The total phenolic content (TPC) in the extracts was measured using a gallic acid standard curve and spectrophotometry. The extract with the highest TPC value from NADES extraction was evaluated for phytochemicals using FTIR and tested for antimicrobial activity with the disc diffusion method. Based on the screening of different NADESs, the highest phenolic content was recorded by lactic acid: glycerol system at 135.74 mg GAE g−1 dw. The lowest TPC value was recorded with sodium acetate: glycerol system, which was 32.76 mg GAE g−1 dw. Among the conventional solvents, the highest TPC value was recorded by 50% ethanol at 133.09 mg GAE g−1 dw, and the lowest TPC value was by 100% ethanol at 67.18 mg GAE g−1 dw. The use of UAE with lactic acid: glycerol NADES system yields the highest TPC value of 142.87 mg GAE g−1 dw. Harumanis extract using NADES-3 had saponins, phenols, glycosides, tannins, and antimicrobial activity on gram-positive and gram-negative bacteria. The results show that NADES effectively extracts phenolic compounds from Harumanis leaves, which have significant therapeutic potential.
Sustainable Protocols For Leaf Sample Collection in In-Vitro Culture: Evaluating The Impact of Sample Bags and Hydrogen Peroxide Pre-Sterilization
Authors: Md Setamam Nursuria , Jaafar sidik Norrizah
Published: November 2024

This study investigates sustainable leaf sample collection protocols for in-vitro culture (IVC) of chili (Capsicum frutescens) and tomato (Solanum lycopersicum) leaves. The research aimed to enhance viability and reduce contamination of leaf explants by evaluating various types of sample bags and different concentrations of hydrogen peroxide (H2O2) pre-sterilization. Specifically, the study compared the effectiveness of normal sealed (NS) bags and vacuum-sealed (VS) bags, including high-action (VSH) and low-action (VSL) vacuum-sealed bags, alongside H2O2 pre-sterilization at various concentrations. Leaf samples were treated with ten different concentrations of H2O2 (5% to 50%) to assess their impact on necrosis and surface contamination over 72 hr. Results showed that higher H2O2 concentrations (above 30%) caused significant necrosis, while concentrations between 10% and 15% provided optimal pre-sterilization for both leaf types, effectively reducing contamination without excessive tissue damage. In the second phase, the research examined the influence of different sample bags on leaf explant sustainability. Vacuum-sealed bags, particularly those with low-action vacuum (VSL), significantly improved leaf longevity and minimized contaminant emergence compared to normal sealed bags. Combined with 15% H2O2 pre-sterilization, VSL bags performed best, maintaining leaf morphology and viability for extended periods. Statistical analyses confirmed the significant impact of sampling bag type and pre-sterilization on contamination levels, necrosis emergence, and leaf longevity. The findings suggest that using low-action vacuum-sealed bags (VSL) with 15% H2O2 pre-sterilization is a promising approach for sustainable leaf sample collection, enhancing the success rate of IVC by minimizing microbial contamination and preserving leaf integrity during transport. This optimized protocol offers valuable insights for researchers and practitioners in plant tissue culture and agriculture, aiming to improve the sustainability and efficiency of leaf sample collection for in-vitro applications.
Assessing the role of social media in shaping career aspirations among lecturers in Nigeria: A quantitative analysis
Authors: Adedotun Kikelomo Oluwayemisi , Elegbede Christie Bola , Lapite Akolade Olubunmi , Idhalama Ogagaoghene Uzezi , Aluede Oyaziwo
Published: November 2024

The study deployed a self-administered questionnaire via Google forms to generate data from a sample of 237 lecturers working in various tertiary institutions across Nigeria. The questionnaire was used to collect data on the use of social media by lecturers, their perceptions regarding the influence of such use on their career goals, and demographic data and other characteristics. First, descriptive statistics such as frequencies and percentages were used to summarize the data, supported by measures of central tendency. These analyses were done using the SPSS software. From the survey result, all the responded lecturers had ticked the "high extent" option, which means that social media affects their career aspirations to a great extent. Correspondingly, based on the response, it can be stated that all the respondents believe that social media platforms can be used for the purpose of career development as well as increasing recognition related to their professional outcomes. In addition, related to the responsibility of staying updated with the latest trends and best practices of the relevant business sectors as well as participating in online communities and discussions associated with their teaching disciplines in order to learn from others in the same field, responses were found to be highly unanimous. Correspondingly, based on the research questionnaire regarding the challenges faced by the Lecturers in Nigeria while using social media for career development purposes, there have been a number of common challenges that have come into view.
The Impact of Online Game Addiction and Transformations of Emotional Intelligence and Intellectual Intelligence in Middle Adolescents
Authors: Kaimudin Eggiz Chintya , Diyanah Syolihan Rinjani Putri  , Priambodo Galih
Published: November 2024

Adolescence is a critical stage towards adulthood, marked by physical, cognitive and emotional changes. Rapid growth, identity conflicts, and attraction to peers influence development. Online game addiction is increasingly widespread, which can disrupt emotional and intellectual intelligence. Negative impacts include mental health disorders, decreased academic achievement, and disturbances in social interactions and self-regulation. The aim of this research is to determine the relationship between online game addiction and changes in emotional intelligence and intellectual intelligence in middle stage adolescents at SMKN 1 Banyudono. This research is a quantitative study with a cross-sectional design. This research used a total sampling technique with a sample size of 51 respondents. This research instrument uses the Game Addiction Scale (GAS) questionnaire which consists of 21 statements, an emotional intelligence questionnaire with 40 statements and an intellectual intelligence questionnaire with 6 statements. Data were analyzed using Spearman's rank test and regression test. The results of bivariate analysis using the Spearman's rank test obtained a p-value of 0.000 (p-value < 0.005) indicating that there is a significant relationship between online game addiction and changes in emotional intelligence, and a p-value of 0.000 (p-value < 0.005) indicates that there is significant relationship between online game addiction and changes in intellectual intelligence. And the results of multivariate analysis using the regression test obtained a p-value of 0.000 (p-value <0.005). So, it can be concluded that there is a significant relationship between online game addiction and changes in emotional intelligence and intellectual intelligence in middle stage adolescents at SMKN 1 Banyudono
Reviewer Acknowledgements for Higher Education Studies, Vol. 14, No. 4
Authors: Lin Sherry
Published: November 2024

Higher Education Studies wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal are greatly appreciated.

Higher Education Studies is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please contact us for the application form at: hes@ccsenet.org

Reviewers for Volume 14, Number 4

Alaa Aladini, Dhofar University, Oman

Antonina Lukenchuk, National Louis University, USA

Arbabisarjou Azizollah, Zahedan University of Medical Sciences, Iran

Ariadna Llorens, Universitat Politècnica de Catalunya-Barcelona tech, Spain

Dede Salim Nahdi, Universitas Majalengka, Indonesia

Ezgi Pelin Yildiz, Kafkas University in KARS, Turkey

Filomena Soares, Porto Accounting and Business School - Polytechnic of Porto, Portugal

Geraldine N. Hill, North Carolina Central University, United States

Halupa Colleen, East Texas Baptist University Marshall, USA

Isaiah M. Makhetha, National University of Lesotho, Lesotho

Jacquelyn Benchik-Osborne, Chicago State University, USA

Laid Fekih, University of Tlemcen Algeria, Algeria

Marisa Correia, Polytechnic University of Santarem, Portugal

Marlon Tayag, Holy Angel University, Philippines

Miguel Flores, National College of Ireland, Ireland

Pedro Tadeu, Centre for Studies in Education and Innovation CI&DEI-ESECD-IPG, Portugal

Rodulfo Aunzo, Visayas State University, Philippines

Sadeeqa Saleha, Lahore College for Women University Lahore, Pakistan

Samuel Byndom, Parkland College, United States, United States

Sarasa-Cabezuelo Antonio, Universidad Complutense de Madrid, Spain

Saravanan Sathiyaseelan, Nil, Singapore

Tony Patrick George, Njala University, Sierra Leone

Zahra Shahsavar, Shiraz University of Medical Sciences, Iran
AI-Driven Solutions for Safeguarding Healthcare Data: Innovations in Cybersecurity
Authors: Arefin Sabira , Simcox Mia
Published: November 2024

AI in healthcare data security is a significant development since healthcare is progressively leaning towards electronic health records, telemedicine, and mobile health apps. These technologies have greatly enhanced the quality of patient care and operation efficiency. However, at the same time, they have also assumed considerable hazards by opening up patients' information to cybercriminals. It is also noteworthy that healthcare organizations are especially attractive to hackers since they work with personal, financial, and medical data. While initial levels of cyber defense include firewall security systems, encryption security, and user access controls, they are no longer sufficient to combat today's advanced cyber threats, including ransomware, phishing, APTs, etc.

Drawing on the literature, this paper explores the importance of AI in protecting healthcare data while describing its strengths in real-time threat detection, anomaly prediction, and incident response. The AI system can analyze and make decisions for those large sums of data much faster and even more efficiently for detecting and responding to threats in the organization's healthcare than the traditional methodologies. Besides, AI enhances security by applying advanced encryption, data anonymization, and compliance with regulatory requirements, making healthcare's sensitive data more secure, accurate, and accessible while it remains protected.

However, the introduction of AI in healthcare data security has some complications. Privacy constraints for patients, potential issues with biased algorithms, high cost of integration, and adversarial attacks on algorithms are some of the greatest challenges of implementing AI (Mennella et al., 2024). Still, the future of AI in healthcare data security has great potential. New-generation technologies such as federated learning, quantum-resistant encryption, and threat intelligence sharing using AI are believed to have tremendous potential in the industry.

Thus, utilizing AI tools in healthcare is an active, effective, challenging-responsive tendency, which, now and in the future, will successfully cope with the problem of health data security. When implemented and integrated appropriately, these artificial intelligence technologies make healthcare organizations more secure from hacking threats, save compliance with the new standards in the healthcare system, and thus protect patients' confidence, which is all significant towards making the healthcare experience better for patients.
Reviewer Acknowledgements for International Business Research, Vol. 17, No. 6
Authors: Duran Kevin
Published: November 2024

Reviewer Acknowledgements for International Business Research, Vol. 17, No. 6, 2024
Efficiency of Information Systems: Influence on Collective Intelligence and Organizational Agility
Authors: Mignenan Victor , Mahamat Ahmat Moussa , Drocky Bayock Eric
Published: November 2024

The main objective of this study is to analyze the effectiveness of information systems (IS) and its influence on collective intelligence and organizational agility within companies. In particular, the research explores how a well-designed and high-performing IS can facilitate collaboration between employees, improve knowledge sharing, and strengthen organizational responsiveness to market changes. The study also seeks to understand the extent to which collective intelligence acts as a mediator between IS effectiveness and organizational agility.

A mixed approach was used in this study, combining quantitative and qualitative methods to provide a comprehensive analysis of the phenomenon. A sample of 150 companies was selected to answer a structured questionnaire measuring the effectiveness of their IS, their level of collective intelligence and their organizational agility. In addition, 30 semi-structured interviews were conducted with company managers to deepen the understanding of the organizational dynamics around IS and their impact on internal collaboration and flexibility. Quantitative data were analyzed using multiple regressions and correlations, while qualitative data were explored using thematic analysis.

The results reveal a significant correlation between IS effectiveness and collective intelligence (0.62), as well as between collective intelligence and organizational agility (0.58). The study shows that companies with effective information systems benefit from better collaboration between their teams. This promotes collective decision-making and strengthens their ability to react quickly to changes in the market. The qualitative analysis confirms that IS facilitates knowledge sharing and allows for greater transparency in decision-making processes, which improves organizational responsiveness. Moreover, it has been found that collective intelligence acts as a key mediator between IS efficiency and agility, increasing the flexibility and adaptability of companies.

The theoretical implications of this study reinforce existing work on information systems, showing how they promote collective intelligence and organizational agility. From a practical perspective, the results indicate that companies need to invest in flexible and collaborative information systems to improve their overall performance. Information systems that facilitate knowledge sharing and cross-functional communication within teams are strategic assets for organizations looking to increase their responsiveness and competitiveness in ever-changing environments. It is also essential to promote a culture of collective intelligence to maximize the impact of information systems on organizational agility.
Reviewer acknowledgements for International Journal of Psychological Studies, Vol. 16, No. 4, 2024
Authors: Sun Barbara
Published: November 2024

Reviewer acknowledgements for International Journal of Psychological Studies, Vol. 16, No. 4, 2024
Black Male Principals’ Engaging Black Parents in Urban Charter Schools
Authors: Ankrum Raymond
Published: November 2024

This qualitative study explores the strategies employed by Black male principals to foster and sustain parent engagement in urban charter schools with a predominantly Black student body. Grounded in Epstein’s (1995) typology of parent involvement and Bass’s (2020) theory of Black Masculine Care (BMC) reveals that these principals leverage their cultural understanding and community connections to establish trust, facilitate open communication, and create a welcoming school environment. The findings highlight the importance of representation, visibility, and culturally responsive practices in promoting meaningful parent engagement. The study concludes by offering educational leaders and policymakers recommendations to enhance parent engagement in urban charter schools.
Strategic Leadership Learning Affecting the Operational Effectiveness of Provincial Administrative Organization
Authors: Udomkijmongkol Chardchai , Swasthaisong Sanyasorn , Uppachai Akkadet , Saenchat Pissadarn
Published: November 2024

Strategic leadership is essential for any organization’s modern leader. This research aims to study the strategic leadership of provincial administration executives, the operational effectiveness of the organization, the impact of strategic leadership learning on operational effectiveness, and guidelines to improve operational effectiveness.
The participants were 254 employees of the provincial administration organization. Questionnaires were used for data collection. Frequency, percentage, mean, standard deviation, and multiple regression analysis were employed for data analysis. Findings revealed that the strategic leadership of the executives of the provincial administration organization was at a high level, the operational effectiveness of the provincial administration organization was at a high level, and strategic leadership has a statistically significant influence on the operational effectiveness of provincial administrations at the level of .05. The component is in 3 areas: balancing organizational control (β = .265), organizational resource management (β = .231), and setting strategic direction (β = .213), and 4) the guidelines for improving the operational effectiveness of the provincial administration are maximizing resource utilization and developing the service quality of services.
Strategies to Manage Vocational Education to Excellence
Authors: Kanyakan Puttawat , Masena Chuankid , Singhaphan Phongthon , Taochan Somruthai , Khantharee Nares
Published: November 2024

This research aimed to develop strategies to manage vocational education to excellence using the Research and Development (R&D) methodology. The study included two phases. Phase 1 involved analyzing fundamental data and needs for vocational education management. The sample was 206 school directors from eight types of vocational institutions under the Office of the Vocational Education Commission. The researchers determined the sample using Taro Yamane’s formula (stratified random sampling) and interviews with experts from three selected model vocational institutions. Phase 2 involved creating strategies through discussions with experts from nine higher education and vocational institutions. Data analysis included percentages, means, standard deviations, and the modified Priority Needs Index (PNImodified). Results showed that the current status of basic data was at a high level overall, while the expected status was at the highest level, with a PNImodified of 0.179. The strategies for vocational education management towards excellence included: 1) Enhancing professional management efficiency; 2) Developing competency-based curriculum quality to international standards; 3) Improving teaching and learning quality; 4) Developing teacher and staff quality to specialized expertise; 5) Building comprehensive human resource development networks; and 6) Enhancing graduate quality to high-competency human resources. The evaluation of these strategies indicated that they were highly appropriate and feasible.
Exploring the Influential Factors on Positive Bystander Behavior in School Bullying Among Middle School Students in Chongzuo, China
Authors: Jin Song , Phusee-orn Songsak
Published: November 2024

School bullying is a pervasive global issue with profound implications for students’ well-being and academic performance. While extensive research has examined the role of bystanders—individuals who witness bullying—in mitigating such behavior, the specific influence of classroom climate on the emergence of positive bystander behavior, particularly through psychological mechanisms such as personal belief in a just world (PBJW) and empathy, remains underexplored. This study addresses the critical question of how classroom climate affects positive bystander behavior in instances of school bullying and seeks to identify the underlying psychological mechanisms at play. Utilizing a mixed-methods approach, data were collected from 670 students aged 11–13 in Chongzuo City, China. The findings reveal that a positive classroom climate significantly enhances positive bystander behavior, both directly and indirectly, through the mediating roles of PBJW—defined as the belief that the world is fundamentally fair—and empathy, characterized by the capacity to understand and share the feelings of others. Specifically, a supportive classroom environment fosters stronger just-world beliefs and greater empathy among students, thereby promoting proactive bystander intervention during bullying incidents. These insights underscore the critical importance of cultivating a nurturing and equitable classroom atmosphere, suggesting that such environments can effectively empower students to engage in positive bystander behavior, thereby reducing the incidence of bullying.