bluuebunny/crossref_metadata_2025 huggingface dataset:
Unveiling the Hidden Patterns: A Dermoscopic Analysis of Vitiligo Lesions at a Tertiary Care Center in Surakarta, Indonesia
Authors: Sesia Pradestine  , Muhammad Eko Irawanto  , Osdatilla Esa Putri  , Trya Oktaviani  , Benedicta Lauda Anandita
Published: February 2025

Background: Vitiligo, a common depigmenting disorder, presents with a variety of clinical manifestations. Dermoscopy, a non-invasive skin imaging technique, has emerged as a valuable tool for evaluating pigmentary disorders. This study aimed to analyze the dermoscopic patterns of vitiligo lesions in a cohort of patients at a tertiary care center in Surakarta, Indonesia, and to correlate these patterns with disease stability.
Methods: This cross-sectional study included 20 adult patients diagnosed with vitiligo at the Dermatology and Venereology Outpatient Clinic of Dr. Moewardi Regional General Hospital Surakarta in July 2023. A dermoscopic examination was performed on all patients using a polarized light dermoscope. Dermoscopic features were analyzed and categorized based on the BPLeFoSK criteria (Border, Pigment Network, Lesions, Follicular, Koebner). Disease stability was assessed based on clinical and dermoscopic findings.
Results: The majority of patients were female (75%) and between 21-40 years old (65%). All patients exhibited the characteristic "white glow" under dermoscopy. Other common findings included reduced or absent pigment network (40% each), perifollicular hyperpigmentation (30%), and perilesional hyperpigment (30%). Satellite lesions and micro-Koebner phenomenon, indicative of disease activity, were observed in 10% of patients each. Based on these findings, 80% of patients were classified as having stable vitiligo, while 20% had unstable vitiligo.
Conclusion: Dermoscopy revealed a spectrum of patterns in vitiligo lesions, with the "white glow" being a universal finding. The majority of patients in this cohort had stable vitiligo. Dermoscopy can aid in assessing disease activity and guiding treatment decisions in vitiligo patients.
Uso de U-Net Y Redes Neuronales Convolucionales para la Detección de la Moniliasis (Moniliophthora Roreri) en Mazorcas De Cacao
Authors: Aquino Ruíz Arcely , León De la O Dulce María , García Mínguez Raymundo , Muñoz Rodríguez Carlos Raúl , Garrido Vázquez José Ney , Arellano Cruz Carlos Armando
Published: February 2025

El presente trabajo aborda la problemática en el sector agrícola; la disminución de la producción del cacao a causa de la enfermedad de la moniliasis (Moniliophthora roreri) enfermedad que provoca pérdidas de hasta el 90% en los cacaotales y que como alternativa se desarrolla KÄKÄWOL (Cacaotales en lengua chontal), una app móvil para Android que utiliza inteligencia artificial (IA) con modelos U-net y redes neuronales convolucionales (CNN) que responde a la complejidad única de la detección de moniliasis en mazorcas de cacao, que a diferencia de los modelos de clasificación tradicionales, que solo detectan la presencia o ausencia de la enfermedad, U-net ofrece una segmentación semántica precisa, crucial para identificar las diferentes etapas de la moniliasis en una misma imagen. Las Redes neuronales convolucionales estándar no logran una segmentación tan precisa de las etapas. U-net permite una representación visual y cuantitativa del avance de la moniliasis y destaca por su capacidad para distinguir y etiquetar píxeles pertenecientes a diferentes clases en una imagen, lo que permite identificar simultáneamente: Puntos negros iniciales,Manchas grandes de desarrollo, Manifestación del hongo blanco superficial. El uso de U-net en este contexto destaca por su capacidad de ofrecer un análisis más profundo y detallado. Sin embargo, se resalta que el aprovechamiento de estas tecnologías aún es limitado en algunos sectores económicos del país, subrayando la necesidad de ampliar su implementación para potenciar el desarrollo agrícola.
Protocolo de extirpación de exostosis palatina
Authors: Silva Loor Paulo Roberto , Castillo Cortez Andrea Estefanía , Samaniego Morocho María Fernanda , Aguirre Valarezo Erick Steven
Published: February 2025

Las exostosis son excrecencia óseas nodulares, lobulillares, ahusadas, sésiles, la mayoría de las veces asintomáticas, recubiertas por mucosa de aspecto sano, se las puede localizar en las superficies vestibulares, linguales o palatinas del maxilar o mandíbula. Se caracterizan por tener un crecimiento óseo benigno, circunscrito, bien definidos, uni o bilateral. Su etiología se describe como multifactorial, incluyendo factores genéticos y ambientales, entre otros. Las exostosis afectan al 10%-20% de la población mundial, de entre 25 y 65 años, mujeres, en su mayoría. En general, no requieren tratamientos a menos que generen molestias, siendo, en este caso, la intervención quirúrgica el procedimiento más indicado. El presente trabajo de investigación presentará a la disposición del lector, una revisión en base a la literatura y artículos científicos de relevancia, para de esa manera poder crear un protocolo quirúrgico para la extirpación de las exostosis palatinas.
Empoderamiento femenino en nuestra realidad social
Authors: Varga Cruz Susana Guadalupe
Published: February 2025

En la siguiente investigación se analizan los imaginarios sociales sobre el empoderamiento femenino en nuestra realidad social. Realizada en un contexto semiurbano en la población de Madera, Chihuahua, tomando en cuenta a mujeres empoderadas, amas de casa, expertos en el tema, hombres machistas y hombres que apoyan el empoderamiento y los movimientos feministas, con una metodología cualitativa, el objeto de estudio se trabajó con la fenomenología – hermenéutica. Los hallazgos resultan interesantes, en base a las percepciones de la población; la necesidad de la sororidad como valor primordial para el avance del empoderamiento femenino, así como la lucha contra el sistema que nos oprime tanto a hombres como a mujeres, dejando de lado la lucha de géneros, en cierta medida se beneficia a uno y el otro sigue quedando desprotegido en muchos ámbitos. Tomando como punto de partida que pertenecemos a un sistema mundo, donde el estar en la periferia de la periferia nos deja con un rezago en cuestiones culturales hablando del machismo, donde las mujeres se encuentran atrapadas en la industria de la cosmetología lo que no les permite despertar y movilizarse ante su propio empoderamiento, sirviendo esta como estrategia de dominio y control.
FORMULATION AND EFFECTIVENESS TEST OF THE WOUND HEALING GEL RED PIDADA FRUIT (Sonneratia Caseolaris) SKIN EXTRACT
Authors: Rusdeni Sofia , Rini Dwiastuti  , Phebe Hendra  , Hasyrul Hamzah
Published: February 2025

Red pidada fruit peel extract gel preparation can increase the efficiency and comfort of topical use because of its activity in the healing of open wounds. The aim of this research was to determine how variations in HPMC levels affect the physical quality and stability of red pidada fruit peel extract gel preparations, using the maceration method to obtain thick extracts and formulations with different HPMC concentrations (1% HPMC, 3% and HPMC 5% formula were tested for physical quality and stability, including the Storage Stability Test for 4 weeks. Effectiveness testing was also carried out in white mice using an incision wound method with a depth of 1.5 mm and macroscopic observation. The effectiveness test concentration was set to 5%. The results of data analysis using the Spss One Way ANOVA test showed that higher HPMC levels resulted in a thicker gel, viscosity, stickiness, spreadability, and higher pH. It can be concluded that the gel formulation that meets the requirements is that formula 2 provides organoleptic test results with a thick green color typical of red pidada, good homogeneity test, spreadability test 5.52 cm, adhesion test 2.61 minutes, viscosity test 2700cCps, pH test 4.92. During storage, the gel exhibited good consistency. The longer the storage time, the closer the pH changes to alkaline values. With the Anova value, there is a significant difference in the three formulas with a value of p=0.005
Keywords: red pidada (Sonneratia caseolaris) fruit peel, wound healing, HPMC, gel
Optimization of Government Administration Reform: SWOT Analysis of Electronic Land Certificate Implementation through Keyword Visualization Identification
Authors: Tambun Anita Octaria , Nasution Heranisty , Simanjuntak Ruth Cahyanti
Published: February 2025

This research explores the implementation of electronic certificates as a strategic step in government administration reform in Indonesia, particularly in the land sector. The implementation of electronic certificates aims to improve administrative efficiency, transparency and security through a digital technology approach in accordance with the principles of good governance. Using the SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis method, this study evaluates the potential and challenges in implementing this policy. The results show that electronic certificates can speed up administrative processes, save operational costs, and increase transparency through digital track records. However, significant challenges such as limited technological infrastructure, resistance to change, and human resource readiness require strategic solutions. With the right policies and planned risk mitigation, electronic certificates have great potential in realizing a more modern, efficient, and inclusive administrative system.
The Effect of Company Growth and Inflation on Company Valuation
Authors: Sunjaya Robi , Munandar Agus
Published: February 2025

The purpose of this research is to examine how corporate expansion and inflation affect the worth of companies in the resort, cruise, and hospitality industries that are listed on the Indonesia Stock Exchange (IDX). The study makes use of secondary data that was obtained from these firms' 2018–2022 annual financial reports. By employing a purposive sampling technique, 15 companies were selected, resulting in 75 observations aligned with the study's objectives. Panel data analysis techniques were used to examine the data. The results show that although inflation has a positive and considerable impact on company value, sales growth has no discernible effect. Second, the joint effect of sales growth and inflation accounts for most of the observed value growth in firms. This has important implications for company management, as they need to leverage firm value for competitive advantages in rapidly changing market conditions.
Knowledge, Attitude and Behavior of Social Forestry Groups Members towards Mitigation Actions in the Forestry Sector
Authors: Utami Mega Rita , Wildayana Elisa , Hadinata Febrian
Published: February 2025

Social Forestry Groups (KPS) are the main target for implementing forestry sector mitigation activities at the site level, therefore the success of forestry sector mitigation is largely determined by the contribution of KPS involvement. The purpose of this study is to analyze whether the mitigation activities will be successfully implemented by KPS by measuring knowledge, attitudes, behaviors associated with the role of each member in the KPS institution and how the performance of the KPS is good or still needs to be improved. This study was conducted in the Management Area of UPTD KPH Region XI Kikim Pasemah with the research objects of KTH Luang Kering and KTH Sungai Geruntang from July to September 2023. The research method used is a descriptive method with a qualitative approach. The results of the study showed that the level of knowledge of KPS members regarding climate change (10.42%) and mitigation (12.5 %). The respondents' attitudes showed a positive response to forestry sector mitigation activities (T Score> 50%). The behavior of most respondents towards the implemantation of mitigation activities by groups is not good, even though their attitudes support the implementation of mitigation actions, they stil play participatory role in climate change mitigation activities.
The Factors Influencing Early Marriage among Women
Authors: Triyoolanda Anggun , Indriani Fatma , Nurhayati
Published: February 2025

A marriage that is carried out prematurely or at a too young age is something that is contrary to the law on marriage. Objective: This research is to determine the relationship between factors that influence young marriage in young couples. Method: The study used a descriptive analytical design with a cross-sectional approach. A total of 97 couples in AFD 2 Bahbutong, Sidamanik District, Simalungun Regency, were selected as respondents through a simple random sampling technique. The dependent variable was early marriage, while the independent variables included self-will, family/parental support, education, and economic factors. Data were collected through questionnaires and analyzed using Pearson correlation. Results: The study showed that self-will had a strong positive relationship with early marriage (r=0.605, p<0.001). Family support had a moderate positive relationship (r=0.417, p<0.001), while education factors had a strong negative relationship (r=-0.650, p<0.001). Economic factors also had a moderate negative relationship with early marriage (r=-0.453, p<0.001). Conclusion: All independent variables showed a significant relationship with early marriage. Therefore, interventions to reduce early marriage need to be focused on increasing access to education, economic empowerment, and family awareness of the negative impacts of early marriage.Key words: Young marriage, own will, economic factors, family factors.
Comparison of Pain Scale and Duration of Early Mobilization after Cesarean Section Surgery Using Eracs Tap Block Method with Eracs without Tap Block
Authors: Siburian Tissa Priscillya Deabitha Br , Simbolon Boyke Marthin , Chairul Muhammad
Published: February 2025

One of the problems for pregnant women is dealing with pain and recovering quickly after surgery. This research focuses on observing pregnant women after surgery to compare the pain scale and duration of early post-operative mobilization using ERACS tap blocks and ERACS without tap blocks. This quantitative research was designed using a cross-sectional approach. The research sample was 40 respondents selected by purposive sampling. The pain scale was measured using the Visual Analog Scale (VAS) and Early Mobilization was measured using an observation sheet. Based on the results of statistical analysis. The p value in the results of the Mann-Whitney test analysis on the pain scale for both variables is VAS5 (24 hours) which has a p value of 0.028 which is lower than 0.05. Early mobilization shows that catheter removal has a p value of 0.002, lower than 0.05. It can be concluded that there is a significant difference between the pain scale and the duration of early mobilization using ERACS tap block and ERACS without tap block.
Analysis of Compliance Factors of Chronic Kidney Failure Patients Undergoing Hemodialysis
Authors: Suhastinah Suhastinah , Arifin Syamsul , Suhartono Eko , Panghiyangani Roselina , Adhani Rosihan
Published: February 2025

The aim is to determine the factors associated with compliance of chronic renal failure patients undergoing hemodialysis in RSUD Brigjend. H. Hasan Basry Kandangan Hospital. This type of research is analytic observational with a cross-sectional survey approach. The results of the bivariate analysis showed that there is a correlation between motivation and compliance in chronic renal failure patients undergoing hemodialysis with a Pvalue (0.000) < 0.05 and an OR of 22.222, a correlation between satisfaction and compliance in chronic renal failure patients undergoing hemodialysis with a Pvalue (0.000) < 0.05 and an OR value of 16.667, and a correlation between therapeutic communication and compliance in chronic renal failure patients undergoing hemodialysis with a Pvalue (0.004) < 0.05 and an OR value of 9.118. Based on the results of this study, it can be concluded that there is a correlation between motivation, satisfaction and therapeutic communication with compliance with undergoing hemodialysis in RSUD Brigjend. H. Hasan Basry Kandangan Hospital.
The Effect of Residence in Coastal Areas and Industrial Area on the Occurrence of Type 2 Diabetes Mellitus
Authors: Widyananda Honesty Trisna , Romadhon Yusuf Alam
Published: February 2025

In Kendal Regency, the prevalence of Diabetes mellitus reached 2.8% in 2021, higher than the average for Central Java province. An unhealthy lifestyle in coastal areas, including lack of physical activity and consumption of foods high in sugar, as well as exposure to air pollution, has the potential to increase the risk of type 2 diabetes mellitus. Previous studies have shown a relationship between environmental factors and the risk of type 2 diabetes mellitus, but the results have varied. This study aims to explore the effect of residence in coastal areas and industrial areas on the incidence of type 2 diabetes mellitus in Kendal Regency. With a deeper understanding of these factors, it is hoped that methods can be obtained to prevent and overcome type 2 diabetes mellitus in the area. This study was to analyze the effect of proximity to the beach and industrial areas on the incidence of type 2 diabetes mellitus in Kendal Regency. This study used observational analytics with a cross-sectional research design. The sampling technique used was purposive sampling. Univariate and bivariate analysis used the Chi-Square test. Significant results were obtained based on the Chi-Square test on the effect of residence in coastal areas and industrial areas on the occurrence of type 2 diabetes mellitus with a p-value of 0.000 ( p-value <0.05). This study shows the effect of proximity to the beach and industrial areas on the incidence of diabetes mellitus in Kendal Regency.
Scoping Review: Pregnant Women with HIV: Difficulties Faced and Coping Strategies
Authors: Idaningsih Ayu , Handayani Hilda , Urbaningrum Bambang Amelia Fajriati , Adnani Qorinah Estiningtyas Sakilah , Susiarno Hadi
Published: February 2025

Since the beginning of the case, the human immunodeficiency virus (HIV) has grown dramatically on a global scale. Pregnant women with HIV are one of the groups that receive worse negative impacts due to changes in health and social life due to being infected with HIV. Several studies have revealed coping strategies that pregnant women with HIV carry out to continue their lives. Therefore, this scoping review aims to identify coping strategies carried out by pregnant women in facing difficulties after being diagnosed with HIV. The study was established based on a scoping review framework by Arskey and O'Malley. Article searches were carried out on the MEDLINE and Scopus databases in early 2023. The selection of articles refers to inclusion criteria which include: the results of research on coping strategies carried out by pregnant women with HIV in facing difficulties, having a full text in English, and published in 2014-2023. The results of the analysis of 18 selected studies found two themes related to pregnant women diagnosed with HIV, namely the difficulties faced by pregnant women with HIV and coping strategies carried out by pregnant women with HIV. Almost all pregnant women with HIV have faced difficulties in controlling their negative emotions and stigma about HIV. However, positive coping strategies make pregnant women with HIV improve and live their next lives. The experience of pregnant women with HIV who have successfully faced their difficulties with positive coping strategies needs to be considered by the government and health service providers in managing the reduction of HIV prevalence.
Analysis of the Effect of Position and Dimension of Infrared Burner on Heat Distribution and Efficiency of Butterfly Pea Flower Drying Oven
Authors: Febriana Miftakhul Jannah , Rhakasywi Damora , Fahrudin Fahrudin
Published: February 2025

Drying is a process of reducing the moisture content of materials using thermal energy. A drying oven equipped with infrared burner technology offers improved efficiency for drying butterfly pea flowers (Clitoria ternatea); however, uneven heat distribution remains a challenge. This unevenness can result in non-uniform drying, prolonged drying times, and reduced final product quality. This study employs Computational Fluid Dynamics (CFD) simulations to model the heat transfer process within the drying oven. Six different configurations of burner positions and dimensions were examined to evaluate their effects on heat distribution and drying rates. The results indicate that more uniform heat distribution is achieved with non-aligned burner positions, while larger burner sizes generally produce better heat distribution and faster drying rates. This research highlights the importance of optimizing burner position and dimensions to maximize drying efficiency and ensure consistent product quality.
FEMINATIVES IN THE LANGUAGE OF THE UKRAINIAN EDUCATIONAL AND SCIENTIFIC SPHERE: OFFICIAL AND SEMI-OFFICIAL PRACTICE
Authors: SІUTA Halyna
Published: February 2025

The active feminisation of multistyle Ukrainian language practice is one of the most noticeable changes taking place in the Ukrainian language of the ХХІ century. In addition to well-known socio-cultural factors (e.g. gender transformation of social consciousness, rethinking stereotypes of womenʼs social role, models of womenʼs behaviour in society and family), an important role in supporting feminisation is also played by language fashion, which influences the perception of naming women with masculine nouns as discrimination, violation of the principles of gender tolerance and gender-correct language behaviour.
Feminisation is different in functional styles. The official business style, including the official business practice of the educational and scientific sphere, is the least susceptible to the innovations outlined above.
The study has revealed asymmetry in the use of feminatives in the official and semi-official segments of the language of the educational and scientific sphere. It has been established that the texts of the website of the Ministry of Education and Science, especially departmental documents as an example of administrative and clerical sub-style, do not contain feminine gender. Instead, the language of educational platforms and educational information resources (as a semi-official sphere of communication) is more receptive to these units.
Traditional masculine forms for naming positions, statuses, and specialities of women dominate the texts of such important genres of administrative and managerial communication in the field of education and science as letters and orders. There are no feminine forms (except for pupil) in the analysed texts of orders and instructions.
The absence of feminatives in the administrative and managerial discourse of the educational and scientific sphere can be explained by the fact that feminatives are not currently codified as a single grammatical norm, but remain a recommended option.
Semi-official language practice, in particular the language of educational platforms and online resources, is more sensitive to feminisation processes. It demonstrates the tolerant attitude of employees in the field of education and science to the use of feminine gender, and therefore becomes a kind of tool for their dissemination in the official business style of this sphere.
PRAGMATICS AND SEMANTICS OF CLICHÉS IN THE MODERN UKRAINIAN LANGUAGE
Authors: KOZYRIEVA Zinaida
Published: February 2025

Broad understanding of clichés in modern studies leads to the lack of clear formulation of the semantic and syntactic typology of such linguistic formations. The very concept of “the cliché” needs to be clarified and separated from related formations – phraseological units, clichés, catchphrases, quotations, exclamations, etc. There is also a lack of thorough research into the semantic and lexical-grammatical properties of clichés. The issue of importance and reasonability of using clichéd units, many of which still require lexicographic description, remains controversial. The aims of this work are to determine the linguistic status of language clichés, to identify their essential characteristics as linguistic units and as manifests of communication processes, to develop reliable criteria for distinguishing clichéd expressions from similar formations (phraseological units, proverbs, sayings, terms, interjections, etc.), to outline the main semantic and syntactic types of such stable units, to describe the main models of cliché formation, to raise a number of issues related to the practice of modeling language clichés in lexicography, to study the ways of their transformation based on multi-genre sources of the Ukrainian language for the purposes of creating the Dictionary of the active type of the modern Ukrainian literary language – the latest modern lexicographic source of the lexical and phraseological repertoire of the Ukrainian language in the early XXI century, which is currently being created by scientists of the Department of Lexicology, Lexicography and Structural-Mathematical Linguistics of the Institute for Ukrainian Language of the National Academy of Sciences of Ukraine.
VERBALIZATION OF EMOTIONAL STATES
IN THE LANGUAGE WORLD OF PAVLO ZAHREBELNYI
Authors: Boyko Nadiia
Published: February 2025

The article comments on modern studies of the language style of Pavlo Zahrebelnyi, one of the most popular Ukrainian writers of the second half of the twentieth and early. The dominant features of the idiomatic style of objectification of the sensual (emotional-evaluative) sphere, emotional states of the characters in the novel “Acceleration”; the features of the use of the peculiarities of using the units of lexico-semantic and phraseological systems for verbalisation of psycho-emotional tones of the personality, its axiological dimensions and orientations; the choice of factual material for analysis is substantiated.
It is established that the dominant emotional state objectified in the novel is love. The idiosyncratic manner of verbalisation of this feeling is realised in a number of individual-author lexical and semantic variants, contextually motivated explicit and implicit semantic plans. The most frequently verbalised feelings are the lexemes love, falling in love, delight, adoration, passion, celebration; to love, love, fall in love, kiss; affectionate, charming, attractive, seductive, unique, intimate; true, hot, seductive, sweet, etc. The key lexeme love represents mostly three within the novel mainly represents three usable lexical and semantic variants: 1) a feeling of of deep affection; 2) the relationship between a man and a woman, generated by; 3) interest, inner, spiritual attraction to something. The individual-author’s verbalisation of love is based on the comprehension of the human sensual human sphere through the prism of concepts and images from other spheres: love is freedom, love is life, love is a celebration of meetings, love is a “quantisation phenomenon in society”, love can only be associated with love.
It is established that P. Zahrebelnyi’s artistic language is characterised by extensive descriptions of the emotional states experienced by the characters; stringing of contextual synonyms, epithetical series; the author is characterised by the use of lexical units that actualise and emphasise the characters’ sensual sphere, convey the intensity of the the intensity of emotional experiences (somatisms, colour nouns with opposite meanings, lexemes denoting meanings, lexemes to denote rapid movements (in a fit of feeling), dynamic processes; use of stable word combinations, modelling of author’s aphorisms, close to the established phrases that figuratively verbalise the state of mind. The objectification of the polyphony of the characters’ inner world is provided by mixed emotional complexes (love – imperatives “must” and “dare not”); descriptions of communicative situations that led to the emotional tone, emotional states, etc. Means of verbalisationof the charactersʼ emotional states are characterised as original expressive units of the prose writerʼs idiolect, which is a source of enrichment of the literary language.
Les variants SARS-CoV-2
Authors: Berche Patrick
Published: February 2025

Comme beaucoup d’autres virus à ARN, le coronavirus SARS-CoV-2 évolue par de multiples mutations au cours du temps. Ces mutations sont liées à des erreurs de lecture de l’ARN polymérase virale. La plupart sont silencieuses, c’est-à-dire qu’elles ne modifient pas ou peu la séquence peptidique des protéines et n’ont aucune conséquence virale. Cependant, certains mutants, surnommés « variants of concern », peuvent changer la structure tridimensionnelle de protéines impliquées dans la contagiosité ou la pathogénicité des virus. Cela concerne notamment de la protéine S (Spike) qui, en interagissant avec le récepteur cellulaire ACE2, permet la pénétration du virus dans les cellules. C’est une cible privilégiée du système immunitaire, à l’origine de la protection par les anticorps neutralisants et la réponse cellulaire « T-dépendante ». Tous les vaccins actuels reposent sur une immunité dirigée contre la protéine Spike. L’émergence de nombreux mutants affectant en particulier le domaine RBD de la protéine S, qui reconnaît le récepteur ACE2, fait peser une menace sur l’avenir de la pandémie de Covid-19. En effet, certains sont plus contagieux et seraient parfois plus virulents. De plus, ils pourraient échapper au système immunitaire, remettant en cause l’efficacité des vaccins. Les mutants pourraient être à l’origine de vagues itératives, menant éventuellement à une endémicité saisonnière. L’avenir de la pandémie de Covid-19 dépend de la capacité de ces mutants à s’adapter à l’espèce humaine qui lui oppose une immunité collective grâce à la vaccination.
From Fear to Fascination
Authors: Asrifan Andi , Kumar L. Santhosh , S. H. Sheik Mohamed , Amal Azizah , Kartini Kartini
Published: February 2025

This chapter shows how generational attitudes regarding robotics changed from dread to interest. The study found significant age disparities in robotic technology perceptions from 50 interviews and a 1,400-person survey. Due to their digital upbringing and positive media depictions, Generation Z and Millennials are more accepting and enthusiastic about robots. Due to unfavorable cultural narratives and technology upheavals, Generation X and Baby Boomers are more skeptical and concerned. The chapter discusses fear and fascination psychological theories and how exposure, familiarity, and culture shape them. It also points out the ethical and social issues of integrating robotics into society and the necessity for focused education and ethical frameworks to dispel myths and encourage a balanced perspective of robotic technology. Understanding generational variations allows stakeholders to build strategies to promote robotics adoption across all age groups, maximizing advantages while minimizing negatives.
Exploring the Role of AI Attitude and AI Perception on AI Anxiety Among Indian Students
Authors: Rajbanshi Souvik , Anthony Madalaimuthu , J. Ganesh Kumar
Published: February 2025

The increase in emerging AI technologies and their rapid evolution makes it difficult for students to effectively learn all these technologies as well as uncertainty in priorities as it keeps evolving. This brings a gap between individuals' skills and knowledge which further increases AI anxiety among the learners. The present study aims to understand the attitude and perception towards AI and AI anxiety among students in India. The authors utilised standardized test measures to collect the data among students. Perception and attitude towards AI and impact of AI had significant positive relationship while techno skepticism was negatively related. Further, significant difference was found in AI perception and techno skepticism based on gender and level of computer literacy. This study underscores the importance of digital literacy for healthy adoption and usage of AI.
Digital Divide and Technological Determinism
Authors: Ekren Gülay
Published: February 2025

The role of technology in our daily lives is increasing exponentially. This is evident in the diverse range of individuals who are now required to interact with computers, including university professors, kindergarten children, farmers, and nuclear scientists. The efforts of public institutions, politicians, and policymakers to address this issue have been insufficient. The accelerated developments in information and communication technologies have rendered it challenging for a considerable number of individuals to engage with these technologies in a manner that is both democratic and meaningful. This study addresses the digital divide issue in the context of technological determinism, examining the influence of various factors on the digital divide in the context of technological determinism. These factors include age, gender, digital abilities, race/ethnicity, and language.
A Bibliometric Analysis of Smart Learning Environments Under the Digital Pedagogy Paradigm
Authors: Rad Dana , Rad Gavril
Published: February 2025

Focusing on the identification of important themes, new trends, and essential elements that define the subject, this report offers a thorough bibliometric analysis of the research terrain surrounding Smart Learning Environments (SLEs). Three main clusters were found by means of a thorough investigation of keyword co-occurrence and network visualization: learner-centric technologies and methods, artificial intelligence and adaptive learning systems, and assessment and learning results. Driven by developments in mobile learning, virtual reality, artificial intelligence, and learning analytics, the study exposes a growing focus on tailored, immersive, and data-driven educational experiences. The study also looks at the elements affecting SLE adoption: technology infrastructure, instructional efficacy, personal attitudes, and organizational support. The results underline the dynamic and changing character of SLE research and provide understanding of how these settings may be efficiently used into teaching strategies to improve outcomes for learning.
AI-Driven DevOps Transforming Software Delivery in the Cloud Era for Smart Education
Authors: Joshi Nikhil Yogesh
Published: February 2025

This chapter explores the transformative role of AI-driven DevOps in enhancing software delivery processes within the context of smart education. As educational institutions increasingly adopt cloud technologies to support digital learning environments, the integration of Artificial Intelligence (AI) into DevOps practices becomes essential. This chapter outlines the fundamental principles of AI-driven DevOps, including automation, continuous integration, and continuous delivery, and how these principles streamline software development and deployment. By leveraging AI, educational institutions can achieve improved operational efficiency, rapid deployment of educational tools, and enhanced user experiences. The chapter also highlights case studies demonstrating successful implementations of AI-driven DevOps in smart education settings, showcasing the benefits of predictive analytics, intelligent automation, and data-driven decision-making.
Global Perspectives on Smart Education and Sustainable Development
Authors: Selvakumar P. , Sakthiradha M. , Jeeva C. , Mujrai Prasanta , Satyanarayana Pamarthi , Singh Dharmendra
Published: February 2025

Smart education, a burgeoning field at the intersection of technology and education, holds significant promise in fostering sustainable development worldwide. This overview explores how smart education leverages advanced technologies to enhance learning experiences, promote environmental consciousness, and empower communities towards achieving sustainable development goals (SDGs). For instance, AI-powered adaptive learning systems can dynamically adjust learning content and pace based on students' strengths and weaknesses, ensuring efficient knowledge acquisition and retention. Furthermore, smart education platforms facilitate collaborative learning environments that transcend geographical boundaries. Virtual classrooms equipped with AR and virtual reality (VR) technologies enable immersive learning experiences, allowing students to explore distant ecosystems or historical sites virtually. By integrating sustainability principles into curriculum design, educators can instill environmental stewardship and social responsibility in future generations
Real-Time Analytics and AI Transforming Data Engineering for Sustainable Learning in Cloud Environments
Authors: Bhosle Ajay
Published: February 2025

This chapter explores the integration of real-time analytics and artificial intelligence (AI) to revolutionize data engineering for sustainable learning within cloud environments. As organizations shift towards cloud-based infrastructures, the demand for efficient data processing and continuous learning capabilities has intensified. By leveraging AI-driven real-time analytics, data engineering processes can be optimized to handle large-scale datasets, support adaptive learning systems, and ensure dynamic scalability. The chapter examines various techniques and architectures, including streaming data pipelines, machine learning models for real-time predictions, and the role of cloud-native platforms in enabling sustainable, scalable solutions. Special attention is given to the sustainability aspect, emphasizing energy-efficient algorithms and cloud resource management that contribute to reduced carbon footprints in data centers.
Smart Infrastructure for Educational Sustainability
Authors: S. C. Vetrivel , Vidhyapriya P. , V. P. Arun , P. Monika Devi , V. J. Jeevitha
Published: February 2025

In the rapidly evolving landscape of education, the integration of smart infrastructure is pivotal for ensuring educational sustainability. This chapter explores the multifaceted dimensions of smart infrastructure, focusing on its role in enhancing the quality and accessibility of education. Smart infrastructure encompasses the deployment of advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and cloud computing within educational environments. These technologies facilitate real-time data analysis, personalized learning experiences, and efficient resource management. The study investigates the impact of smart infrastructure on educational outcomes, equity, and environmental sustainability. It highlights case studies from various educational institutions that have successfully implemented smart technologies, demonstrating improvements in student engagement, academic performance, and operational efficiency.
Sustainable Curriculum Design Effect on Smart Education Development Through Sustainable Learning Environment in Ethiopia
Authors: Kant Shashi , Adula Metasebia
Published: February 2025

The creation of curriculums that not only satisfy the changing needs of education but also promote a sustainable learning environment in order to assist the advancement of smart education is fundamental to this shift. This chapter investigates how a sustainable learning environment mediates the link among the development of smart education in Ethiopia and sustainable curriculum design. A sample size of 435 Ethiopian students, educators, and stakeholders in education participated in the study. The study used a quantitative methodology, starting with the Kaiser-Meyer-Olkin (KMO) test. The underlying factor structure of the constructs was subsequently found using exploratory factor analysis (EFA), and the measurement model was validated using confirmatory factor analysis (CFA). The proposed partial mediation model was then examined using structural equation modeling (SEM) and AMOS software to look into the direct and indirect effects of sustainable curriculum design on the development of smart education, with the sustainable learning environment serving as the mediating variable.
The Role of Leadership in Fostering a Positive Employee Experience Culture
Authors: Ince Fatma
Published: February 2025

When the activities carried out by the leader towards achieving goals are combined with data science, it enables more informed and effective decision-making. This, in turn, improves the employee experience and creates a more positive workplace culture. In this context, creating a positive employee experience culture with the support of data science not only provides motivation while achieving the desired goals but also contributes to organizational outcomes. Based on this, this chapter of the book will explore the creation of a positive employee experience culture within the scope of data science, and the leader's influence in this area will be examined in greater depth.
Employee Experience
Authors: Mohanty Vandana , Kulkarni Mangesh B.
Published: February 2025

The rise of the ‘experience economy' is reshaping talent management. Employee experience can be defined as a comprehensive talent management strategy that organizations implement to ensure employees receive support necessary to thrive and succeed in their roles. By effectively managing employee experience, companies can foster a work environment that boosts both productivity and employee engagement. This chapter describes how an experience approach can enhance engagement and impact talent management process. Using the past literature and practitioner's perspective, the study proposes a practical framework that highlights the evolving expectations of the employees and the employers that can be addressed using the concept of employee experience. The reader will understand how these frameworks can be implemented to increase the effectiveness of the talent management .The application of technology in increasing the effectiveness of the process through enhancement of the employee experience is explained in line with the trend of automation of business practices across organizations.
Enhancing Educational Quality Through AI and Data Science
Authors: Baby Ann , Kannammal A. , Keerthy A. S.
Published: February 2025

Student motivation is critical in academic success, driven by a combination of intrinsic and extrinsic factors. This study investigates the motivators influencing students in an academic program. Using a mixed-methods approach, the research combines qualitative interviews and quantitative data analysis to find the effects of various factors on student motivation. A Management Change Programme (MCP) was implemented as an intervention. A pre and post-test design is used, evaluating motivational shifts before and after the intervention. Data analysis techniques, including dimensionality reduction and reliability analysis, were used to construct a data-driven model. Results show that prior to the MCP, 59% of students were motivated, which increased to 66% post-intervention. Discriminant validity was confirmed, and the model demonstrated good fit(SRMR: 0.0783). Path coefficient analysis revealed that Placements had the strongest positive impact on students' Pursuit for Excellence (0.3429), followed by Program Content (0.3039), and College/Department Activities (0.1892).
AI-Powered Gamification and Interactive Learning Tools for Enhancing Student Engagement
Authors: Banik Barnali Gupta , Gullapelly Aparna
Published: February 2025

Artificial Intelligence (AI) is revolutionizing various aspects of our lives, including education. Traditional education systems are teacher-centered and focused on memorization. It struggle to provide to diverse learning styles and individual needs. AI can address these limitations by providing personalized learning experiences, adaptive assessments, and intelligent tutoring systems. By tailoring education to each student's pace and preferences, AI can enhance learning outcomes and empower students to reach their full potential. AI-powered gamification and interactive learning tools are transforming education. By transforming learning into engaging experiences, these tools provide to diverse learning styles and enhance cognitive abilities. Gamification techniques make learning fun and memorable, while interactive tools like LMS, educational apps, and simulations create deeper understanding and retention. This chapter delves into the potential of AI to address the shortcomings of traditional education, improve learning outcomes, and reshape pedagogical practices.
Crafting Effective Education Policies With Data Science Tools and Techniques
Authors: Geetha M. C. S. , Kanithra S. , Vaishiga R.
Published: February 2025

The digital world holds vast data, from historical records to current affairs, that can be analyzed and transformed into knowledge. In education, data science helps educators to tailor instructions and improve the efficiency and outcome of students by introducing new strategies and personalized learning plans. This chapter aims to bring out the role of data science in the discipline of education and how data science helps in effective policy-making through statistical analysis of student academic performance, data visualization and resource allocation, so that we can ensure that funding and support are directed to the areas needed most. This chapter aims to identify the obvious challenges associated with the current educational reforms and the way data science can help to address those issues by giving a clear perspective of policy-making with data-driven decisions, its impact on the betterment of the individual student. It is stressed that innovative decisions to existing problems with the help of data science can increase literacy levels nationwide.
3D/4D Printed Food
Authors: Selvakumar P. , Shaikh Mohammed Azim , Kuchipudi Jyothsna Devi , T. C. Manjunath
Published: February 2025

In recent years, 3D and 4D food printing technologies have emerged as groundbreaking innovations poised to revolutionize the way we produce and consume food. By leveraging advanced printing techniques and materials, 3D and 4D food printing are not only transforming the aesthetics and functionality of food but also addressing broader challenges in food production and consumption. For example, a 4D food printer might create a food item that undergoes a transformation when exposed to heat, moisture, or other external factors. This could result in a food product that changes texture, flavor, or appearance as it is consumed or prepared. The integration of this fourth dimension adds a new layer of innovation to food printing, enabling the creation of interactive and adaptive food experiences. One of the most compelling aspects of 3D and 4D food printing is their potential to address key challenges in food production and sustainability.
Blockchain-Enabled Food Supply Chain Management
Authors: Parmar Hemlata
Published: February 2025

The global food supply chain is inefficient, opaque, and exasperated by vulnerability to fraud and safety breaches. The traditional scheme of data silos, limited stakeholder trust, and depending on manual processes impairs traditional traceability systems. The decentralized, tamper proof, and transparent nature of blockchain technology provides a great solution for the food product tracking from origin to consumption. With the integration of blockchain into IoT sensors and smart contracts, real-time monitoring, automation, and enhanced data security are delivered enabling compliance with regulatory standards and consumer trust. In a proposed blockchain-based model, the accuracy in traceability (98%), sharing data trust (95%), and recall efficiency (90%) are demonstrated to be much improved over traditional systems despite higher initial costs. This work demonstrates how blockchain can enable the safe, sustainable, and accountable food supply chains and tackle the scalability, interoperability constraints of a globally deployable solution.