bluuebunny/crossref_metadata_2025 huggingface dataset:
Gestion des conflits de tâche : une lecture par le prisme des espaces de discussions
Authors: Ndiaye Adama , Girard Nadia
Published: August 2024

Les espaces de discussion permettent-ils de réguler les conflits de tâche dans le secteur social et médico-social ? L’aménagement de l’espace de la discussion cadre ce questionnement. Grâce à une étude de cas longitudinale dans un institut médico-éducatif, nos résultats montrent que l’espace de discussion qui existe permet de réguler les conflits de tâche. Ils illustrent en particulier le rôle joué par le substrat matériel et conventionnel structurant la discussion. Cette étude met en évidence le rôle de régulateur que peut jouer un dispositif comme l’analyse des pratiques sur les conflits de tâches. En valorisant les dispositifs ou pratiques managériales, nous mettons en exergue leur rôle pour cerner l’origine des conflits de tâche ainsi que les voies pour les surmonter.
Advancing Equity and Justice in Academic Nursing Through Trauma-Informed Education Practice
Authors: Halabi Najjar Rana , Ackerman-Barger Kupiri
Published: August 2024

Background:

As educators and schools redouble their efforts to support and graduate a diverse and highly competent student body, there is an urgent need to adopt an academic framework to understand the effects of trauma on student learning, ground equity and justice in nursing education, and underpin policy development.

Method:

This article explicates the use of equity-centered trauma-informed education practice (TIEP) as a framework for examining, scrutinizing, and eliminating the influences and effects of racism, including explicit, implicit, systematic, and microaggressions, as well as inequitable approaches in practices, pedagogy, and policy.

Results:

Five key strategies were identified: (1) bias and antiracist work; (2) safety and trust; (3) culturally responsive pedagogy; (4) wellness and balance and (5) community-building.

Conclusion:

Transforming nursing education requires a paradigm shift, with changes occurring from an individual to a system level. TIEP ensures changes are equity-centered and justice-focused.

[
J Nurs Educ
. 2024;63(8):507–514.]
Evaluating a Virtual Flipped Classroom Approach to Nurse Practitioner Telehealth Competency Development
Authors: Posey Laurie , Wallington Sherrie , Sikka Neal , Pericak Arlene , Zhou Qiuping , Pintz Christine
Published: August 2024

Background:

Evidence supports the use of multi-modal approaches to develop nurse practitioner (NP) students' telehealth competency.

Method:

A virtual flipped classroom approach that included eLearning, interactive webinars, and virtual standardized patient (SP) simulations was implemented and evaluated to teach NP students to use telehealth and other connected health technologies to improve care for underserved populations.

Results:

Analysis of data from multiple-choice quizzes, surveys, and SP evaluations indicated students achieved high levels of knowledge, met the learning objectives, demonstrated above-average competency during telehealth simulations that improved over time, and were highly satisfied with the learning experiences.

Conclusion:

The educational benefits of a flipped classroom can be realized within a fully online learning experience. Future research should examine the effects of repeated simulation opportunities on telehealth competency development.

[
J Nurs Educ
. 2024;63(8):546–551.]
Prevalence of Academic Burnout Among Nursing Students: A Systematic Review and Meta-Analysis
Authors: Hernández-Mariano José Ángel , Hurtado-Salgado Erika , Velázquez-Núñez María Del Carmen , Cupul-Uicab Lea A.
Published: August 2024

Background:

Nursing students are prone to academic burnout (AB) as the result of frequent exposure to stressful situations. AB is associated with physical and mental health problems; thus, identifying the burden of AB is crucial for prevention. This review sought to estimate the global prevalence of AB among nursing students.

Method:

PubMed, Web of Science, EBSCO, SciELO, CUIDEN, LILACS, and BASE databases were searched. The prevalence of AB was estimated using random effects meta-analysis.

Results:

A total of 34 studies (
n
= 9,554 students) were included. The pooled prevalence of AB was 35% (95% CI [24%, 47%];
n
= 23 studies), with the highest prevalence (58%) observed in Asia. The pooled prevalence of high emotional exhaustion, high depersonalization, and low personal accomplishment was 40%, 23%, and 30%, respectively.

Conclusion:

AB is more common than previously estimated among nursing students. Academic institutions should consider AB in their core curriculum.

[
J Nurs Educ
. 2024;63(8):533–539.]
Clinical Characteristic and Tear Film Biomarkers After Myopic FS-LASIK: 1-Year Prospective Follow-up
Authors: Zhao Lu , Zhang Yu , Duan Hongyu , Yang Tingting , Ma Baikai , Zhou Yifan , Chen Jiawei , Chen Yueguo , Qi Hong
Published: August 2024

Purpose:

To assess the long-term (1-year) effect of myopic femtosecond laser–assisted in situ keratomileusis (FSLASIK) on clinical characteristics and tear film biomarkers.

Methods:

Eighty eyes from 80 patients who underwent FSLASIK were evaluated. Ocular surface symptoms and signs were evaluated using specific questionnaires and tests. The corneal nerves and dendritic cells were examined using in vivo confocal microscopy. Corneal sensitivity was evaluated using a Cochet-Bonnet esthesiometer. Tear inflammatory cytokines and neuropeptides were evaluated using Luminex immunoassay. These examinations were performed preoperatively and at 1, 3, 6, and 12 months postoperatively.

Results:

Seventy-three participants completed all follow-up visits. Following FS-LASIK, ocular symptoms and signs (except Schirmer I test) worsened at 1 month but corneal and conjunctival stainings improved by 3 months. The numbers of dendritic cells and activated dendritic cells increased at the 3-month postoperative visit and recovered to preoperative levels by the 6-month visit. Ocular symptoms and corneal sensitivity recovered to preoperative levels at the 12-month visit. Tear break-up time and corneal nerve morphology were not recovered to preoperative status at the 12-month visit. Interleukin (IL)-1β, IL-17A, tumor necrosis factor-α, and substance P tear levels significantly increased at all postoperative visits compared to preoperative levels. Corneal staining scores positively correlated with tear IL-1β and IL-17A levels, whereas corneal nerve morphology positively correlated with corneal sensitivity and negatively correlated with substance P levels.

Conclusions:

Although most clinical variables improved at 12 months postoperatively, some tear inflammatory cytokines and substance P remain altered beyond 12 months, indicating that ocular homeostasis is not completely recovered.

[
J Refract Surg
. 2024;40(8):e508–e519.]
Refractive Surgery Patient Characteristics Associated With Satisfaction Scores
Authors: Tran Elaine M. , Manche Edward E.
Published: August 2024

Purpose:

To determine factors influencing patient satisfaction scores in recipients of refractive surgery.

Methods:

In this prospective survey-based study, patients who had refractive surgery at an outpatient refractive clinic completed a survey of selected questions from the Press Ganey survey and the National Eye Institute Visual Function Questionnaire-25. Correlation between patient-specific variables and survey questions were assessed using Student's
t-
tests.

Results:

Fifty-three patients were recruited over a 3-year period. Most were male (55%) and middle aged (mean age: 34 years). Eleven percent underwent photorefractive keratectomy surgery and the rest had laser in situ keratomileusis, with no complications. Twenty-four percent of surveyed patients reported mild to moderate eye pain postoperatively, with the rest reporting no pain. All patients reported a full score for overall satisfaction.

Conclusions:

This study found persistent high patient satisfaction score across a variation of characteristics, suggesting that optimal scores are mainstay after refractive surgery procedures with excellent visual outcomes, independent of patient clinical and sociodemographic characteristics.

[
J Refract Surg
. 2024;40(8):e539–e543.]
Refractive Outcomes After Scleral Fixation of the Carlevale Intraocular Lens
Authors: Courat Nathan , Gobert Frédéric , Naudin Thibault , Ducloux Alexandre , Alleyrat Camille , Leveziel Nicolas
Published: August 2024

Purpose:

To assess the refractive predictability of the Carlevale sutureless scleral fixation intraocular lens (IOL) (Sole-ko IOL Division) power calculation.

Methods:

This retrospective, non-comparative, interventional case series included patients without a capsular support having undergone sutureless scleral fixation IOL implantation in two French hospitals between October 2019 and April 2022. IOL calculation was performed with the Barrett Universal II, Hoffer Q, Holladay 1, and SRK/T formulas with constant optimization to achieve a mean arithmetic prediction error equal to zero. The main outcomes were prediction error (PE) and its standard deviation (SD-PE), the median absolute error (MedAE), the mean absolute error (MAE), and the percentage of eyes with PE within ±0.50, ±1.00 and ±2.00 diopters (D) 6 months after surgery.

Results:

Thirty eyes of 30 patients were included in the study. The mean age was 66.6 years, the mean axial length was 24.31 mm, and the mean keratometry was 43.07 D. SDPE ranged from 0.73 to 0.87 D depending on the formula. MedAE ranged from 0.38 to 0.61 D, and MAE from 0.52 to 0.68 D. Between 46.7% and 56.7% of eyes were within ±0.50 D, 76.7% and 90.0% were within ±1.00 D, and 96.7% were within ±2.00 D of target equivalent. No statistically significant difference was observed between the four formulas for any outcomes.

Conclusions:

This study confirmed that the design of the Carlevale sutureless scleral fixation IOL provides satisfactory refractive results.

[
J Refract Surg
. 2024;40(8):e527–e532.]
Correction of High Astigmatism by Autologous Astigmatic Lenticule Reshaping and Rotation
Authors: Shang Jianmin , Wang Xiaoying , Xu Haipeng , Huang Jia , Zhou Xingtao
Published: August 2024

Purpose:

To explore the use of autologous astigmatic lenticule reshaping and rotation surgery to correct high astigmatism in conjunction with excimer laser technology to correct residual refractive error.

Methods:

Six patients with high astigmatism (8 eyes, all with astigmatism from −5.50 to −11.00 diopters [D]) seeking refractive error correction were enrolled. The following methods were used to correct refractive errors that could not be corrected by a single conventional surgery: (1) cutting of a customized lens using FLEx technology, (2) lifting of the corneal flap and reshaping the autologous astigmatic lenticule in situ using an excimer laser, and (3) rotation of the autologous astigmatic lenticule by 90°. Uncorrected distance visual acuity, subjective refraction, corneal topography, and anterior segment optical coherence tomography were performed preoperatively and postoperatively.

Results:

The efficacy and safety indices at 6 months postoperatively were 0.93 ± 0.18 and 1.06 ± 0.11, respectively, the spherical equivalent remained stable and close to emmetropia (−0.13 ± 0.70 D) from 1 to 6 months postoperatively, postoperative astigmatism was generally mildly undercorrected (−1.22 ± 0.43 D), and the difference in corneal curvatures at 2 mm from the apex of the cornea was significantly reduced compared to preoperatively (
P
< .05); however, the corresponding values at 1 and 3 mm showed no difference.

Conclusions:

Correction of high astigmatism with autologous astigmatic lenticule reshaping and rotation surgery is tissue-sparing, predictable, and significantly improves postoperative visual acuity and quality. This method is feasible and safe, with predictability requiring further study. This novel surgical approach has potential for patients with high astigmatism that cannot be corrected by conventional refractive surgery.

[
J Refract Surg
. 2024;40(8):e554–e561.]
A Review of Trauma-Informed Care for Youth and Their Families in Inpatient Pediatric Settings
Authors: Jones Kelsey L. , Milano Aubri M.
Published: August 2024

Due to the pervasiveness of trauma, it is likely that many children and families seen in pediatric health settings have incurred traumatic experiences. These experiences can lead to a variety of negative medical, psychological, and social health outcomes. Therefore, a provider's focus on supporting resilience is integral. The use of trauma-informed care (TIC) is one way providers can work toward promoting a family's resilience. TIC is considered an organizational, attitudinal shift to understanding the broad impacts of trauma. This shift can contribute to changes in policies and procedures to make each system more welcoming to all those accessing the health system. This review will discuss the current pervasiveness of trauma, its associated impacts, the importance of TIC, and practical applications of TIC based on guiding principles provided by the Substance Abuse and Mental Health Services Administration.

[
Pediatr Ann
. 2024;53(8):e299–e304.]
Optimization problems in liquefied natural gas transport and storage for multimodal transport companies
Authors: Zhang Hongyu , Wu Yiwei , Zhen Lu , Jin Yong , Wang Shuaian
Published: August 2024

As a relatively clean energy source, liquefied natural gas (LNG) is experiencing a growing demand. The uneven global distribution of LNG often compels residents in regions without local sources to import it, underscoring the need to optimize the global LNG transportation network. Therefore, this study formulates a nonlinear mixed-integer programming model for a multimodal transport and storage problem to optimize LNG carrier allocation, LNG storage planning, and LNG transport planning, aiming to minimize the total cost of multimodal transport, minus the rewards offered by ports. In order to facilitate the solving of the model, some linearization methods are used to transform the nonlinear model into a linear model. To assess the efficiency of the linear model, we conduct computational experiments on small-scale instances with five inland cities, medium-scale instances with 15 inland cities, and large-scale instances with 60 inland cities. The results show that all small- and medium-scale instances can be solved to optimality within 427.50 s. Feasible solutions with a maximum gap value of 0.03% for large-scale instances can be obtained within 1 h. In addition, sensitivity analyses are conducted to identify the impacts of the cost of transporting LNG by vehicles, the charter cost of LNG carriers, and the rewards for shipping LNG. In general, higher cost of transporting LNG by vehicles and higher charter cost of LNG carriers lead to a higher objective value. It is also found that when the rewards for shipping LNG increase to a certain extent, such that the additional rewards exceed the additional multimodal transport cost incurred, the amount of LNG unloaded at the subsidized port increases.
Feeling the Context
Authors: İnce Ayşegül , Aktaş Aysu Akalın
Published: August 2024

The contextual reasoning of place and subject dialog from a mimetic point of view has been central to this work. The chapter discusses modern mosque architecture, focusing on the studio project of the second-year students. The goal of each student in the design should be to reach the critical moment by seeing and expressing the spiritual feelings of the user in a place of worship. As designers, students are expected to feel the requirements of context by looking through the eyes of the users of the space, and the educators are expected to help this with the methods used. This chapter is written to convey the methodological details of feeling the context which is defined as contextual reasoning. According to the analysis, three different student approaches emerged at the end of the design process. These are inspired interpretation, imitation by partial interpretation, and exact imitation. In summary, the contextual attitudes that students develop by using the domain sources in a mimetic way help students empathically experience the space even at the superficial level of insideness.
On the Threshold
Authors: Boyacıoğlu Esin , Aycı Hilal , Ertürkmen Aksoy Bengi Su , Kapusuz Balcı Bilge Beril
Published: August 2024

Architectural education, rooted in historical models like Beaux-Arts and Bauhaus, has long shaped pedagogical practices focusing on formalism and functionality. However, contemporary discourse suggests a need for a paradigm shift towards addressing social and cultural dimensions in architectural education. This chapter explores the evolution of architectural pedagogy through the lens of Studio 201 (atölyeikiyüzbir), a design studio experience spanning over two decades at the Gazi University Department of Architecture.
Reflections on the Role of Women in Nigeria's Quest for Sustainable National Development
Authors: Akpabio Edidiong Samuel , Imonigie Amarachi Uchechi Janice
Published: August 2024

Right from the 1960s, i.e., post-independence Nigeria to the present, the quest for sustainable development has remained a pipe dream. Despite the avalanche of resources deployed internally and externally, i.e., through loans, aid, and partnerships from outside the nation's shores, the story has remained the same and tends to degenerate as the years go by. This developmental dilemma has eaten deep into her national life like a cancer of sorts with the government striving to eradicate this scourge of arrested development with little or no success achieved. While several committees have been set up and diverse programs implemented with the core objective of achieving sustainable development, they have often ended as exercises in futility while serving as conduit pipes to drain governments lean resources. The various milestones set by the Nigerian state nationally and others she is signatory to on the continent and even in the global arena have more often than not remained unachieved.
An Examination of Livelihood Initiatives for Women in Fishery Communities
Authors: Panicker Resmi C. , R. J. Reejo
Published: August 2024

Women hold a position that is considered to be among the most prominent in the fishing industry. Women's contributions to the fishing industry on a smaller scale are just as important and significant as those of men. It has been argued that countries should recognize the rights of women who live in fishing communities in order to ensure that they have access to coastal resources, notably coastal areas. The Indian government and state governments have dreamed up a number of initiatives aimed at empowering women in such communities. These programs have been established under the auspices of a variety of fishermen's welfare organizations and local self-government institutions. In this study, an attempt is made to investigate the numerous schemes and programs that the central and state governments have implemented for the welfare of the women in the fishing community. Additionally, the socio-economic status of fisherwomen in Gujarat and Kerala is investigated through systematic literature review. It reveals the unfavorable condition of fisherwomen particularly in Gujarat.
Exploring the Intersection Between Data-Driven Marketing and Economics
Authors: dos Santos João Rodrigues , Machado Andreia de Bem , Sacavém António , Boechat Ana Carolina , Sousa Maria José
Published: August 2024

In a contemporary business scenario, we are witnessing a significant convergence between data-driven marketing and economics, triggering fertile ground for scientific research. One of the central themes that emerged from this exploration is the escalating economic significance of big data in marketing practices. With the digital age, these disciplines intertwine as marketing-driven data analysis intersects with economic principles. This crossover raises pertinent questions about the implications for economic dynamics as organizations increasingly rely on data to guide their marketing strategies. The analysis revealed emerging trends and research streams within data-driven marketing and economics. This scientific chapter emerged from a bibliometric review to address this intersection, highlighting data-driven marketing personalization, strategic segmentation, and consumer feedback on economic performance. By mapping trends, gaps, and debates in the literature, it aims to provide a more comprehensive understanding of these interdisciplinary dynamics.
Navigating the Data Science Frontier
Authors: Singh Pushpa , Singh Narendra , Singh Rajnesh , Gupta Ruchi , Arora Monika
Published: August 2024

Recently data science has been identified as one of the most motivating research areas. The data science life cycle begins with data collection, data preparation, data model planning, model building, and then implementations. In this chapter, the authors focus on data preparation, data science algorithm, and their comparison. Data science algorithms utilize machine learning and deep learning algorithms to extract unknown knowledge and pattern from the data. Data scientists mainly suffers challenges such as heterogeneous data, overfitting/underfitting, imbalanced data, real-time data, and security during model building. Storage and extracting real-time data is a challenging task for any data scientist. Hence, the foremost future research trends will indicate extracting and storing real-time stream data, which require innovative ways to develop, explain, and justify the algorithms.
Role of Data-Driven Marketing in Developing Lasting Customer Relationships
Authors: B'chir Hanene Babay
Published: August 2024

Data-driven marketing (DDM) is a marketing approach using AI technologies to optimize marketing activities intended to deliver value to customers. It involves collecting and analyzing huge amounts of data both structured and unstructured in order to better understand the market and respond effectively to specific customer needs. DDM thus allows marketers to offer a personalized customer experience and develop a privileged and lasting relationship with their customers. That being said, this chapter aims to develop a structured approach to guide brand managers who wish to develop a loyalty strategy based on data. It also aims to raise awareness of the challenges linked to the use of big data for marketing purposes. Useful recommendations are also developed to help these managers overcome these challenges and improve data quality and security for effective business decision-making.
Integrating AI in Alzheimer's Disease Management
Authors: Md Mazharunnisa , V  , Sai  , Anuradha T. , Sri Indhu
Published: August 2024

As the quantity of people with this debilitating sickness keeps rising, healthcare directors are faced with the undertaking of finding progressive and green approaches to manipulate and deal with the disorder. One capacity solution is the integration of artificial intelligence (AI) in Alzheimer's sickness management. This chapter provides a strategic technique for healthcare administrators to effectively combine AI era into contemporary Alzheimer's sickness management practices. Through a comprehensive assessment of literature, this chapter explores the potential benefits and obstacles of AI in the context of Alzheimer's sickness. Moreover, it gives a framework for healthcare directors to effectively put into effect, monitor, and evaluate AI-based solutions of their businesses. The proposed method highlights the importance of collaboration between healthcare professionals, AI professionals, and patients to make sure the success and moral integration of AI in Alzheimer's disorder control.
Advancements in Alzheimer's Diagnosis
Authors: Tomar Vatsala , Kumar Arvind , Kate Vandana , Kumar Sandeep , Gottumukkala Prasanthi
Published: August 2024

Alzheimer's disease is a regularly occurring and devastating neurodegenerative disorder that influences hundreds of thousands of people global. Early and accurate analysis is important for powerful control and remedy of this circumstance. AI-powered diagnostic tools and software have proven promising results in improving diagnostic accuracy, as well as supplying greater available and cost-powerful strategies for screening and tracking the disease. This comprehensive exploration will discuss the current kingdom of AI-powered diagnostic gear and software for Alzheimer's disorder, which includes their development, validation, and actual-international packages. We can also cope with the potential demanding situations and limitations of that gear and provide future potentialities for this swiftly evolving discipline. This evaluation aims to offer an intensive know-how of the modern improvements in Alzheimer's prognosis and the ability impact of AI in improving the management of this debilitating situation.
Revolutionizing Alzheimer's Diagnosis
Authors: K. S. Ananda Kumar , A. Senthil Kumar , H. R. Gireesh , V. Shashidhar
Published: August 2024

Early and accurate analysis is crucial for providing powerful remedy and enhancing the exceptional of lifestyles of sufferers. With the improvements in synthetic intelligence (AI) era, there's top notch ability for AI-powered equipment to revolutionize the analysis of Alzheimer's ailment. However, the combination of that modern gear into scientific practice gives diverse demanding situations, inclusive of records privateness, regulatory approval, and medical doctor popularity. This chapter ambitions to have a look at the demanding situations and possibilities inside the medical integration of AI-powered equipment for Alzheimer's prognosis. The authors are able to discover the advantages of AI in accurately diagnosing the disorder, enhancing affected person care, and lowering healthcare fees. Moreover, they can speak techniques to triumph over the barriers and sell the adoption of AI in Alzheimer's prognosis, along with collaboration among AI developers and healthcare experts and the improvement of clear regulatory guidelines.
Ethical and Privacy Considerations in AI-Driven AD Research
Authors: Abdul Matheen Mohammed , Hasan Zainulabedin , Lodhi Amairullah Khan , Waheed Shaikh Abdul , C. Altaf
Published: August 2024

The advancement of artificial intelligence (AI) has brought on sizeable inclinations in scientific research, especially in the subject of Alzheimer's disease (AD). As AI maintains to comply and play a bigger function in the advert research panorama, there are growing worries approximately the ethical and privateer's implications of the usage of such generation. This paper gives an outline of the moral and privacy considerations that researchers should bear in mind while working with AI-pushed ad research. It explores the capability benefits and risks associated with using AI in advert studies, collectively with troubles of knowledgeable consent, information privacy and protection, and capability biases and discrimination. It additionally discusses the want for transparency and duty inside the use of AI in advert studies, and the placement of ethical suggestions and hints in making sure responsible and ethical use of this technology.
Senses Shall Sell
Authors: Kakhtan Shweta , Kapoor Anuj Pal
Published: August 2024

Marketing to the consumer senses is called sensory marketing. Notably, there has been a swell of interest in sensory marketing pertaining to (a) the role of senses in curating multisensory experiences for consumers, and (b) the recent sensory enabling technological advancements such as AR/VR and GenAI. The present chapter discusses the emergence, evolution, and emerging perspectives in the field. Specifically, the authors have found that the field of sensory marketing is derived from the hedonic consumption concept and emotional aspects of consumption. In addition, a sensory marketing mix has been constructed to delineate the working of senses in marketing. The study found that multisensory experiences form the core of buyer behavior in sensory marketing. Further, future research insights using sensory neuromarketing tools such as eye-tracking, EEG, GSR, and fMRI may be effective in growing the field. Lastly, the authors discuss the emerging perspectives and future directions for new marketing realities.
Ethical and Un-Ethical Consideration(s) in the Realm of Neuromarketing
Authors: Gupta Raveena , Kapoor Anuj Pal , Sharma Harsh Vardhan
Published: August 2024

Although neuromarketing presents marketers with great potential to gain insight into the neurological mechanisms that influence customer choices, it also brings up important ethical questions because it paves the way for unbridled manipulation of customers by providing unparalleled access to their mind. Thus, it is critical to discuss multi-facets of neuromarketing pertaining to its potential and limitations. This chapter delves into the challenges pertaining to policy implementation, limitations, and potential benefits of neuromarketing on individuals and society.
Boosting Wellbeing Leveraging Virtual Communities Through Innovative Digital Marketing Strategies
Authors: Sharma Swati , Sharma Kavita , Mongia Anupal , Malik Reena
Published: August 2024

The well-being of individuals has taken precedence in the new era that Covid-19 has brought. Numerous viewpoints on medical care technology and the social sciences have been used to analyse the topic of wellbeing in digital communities. This chapter is a review of the literature that explains how understanding the comfort, happiness, and quality of life of members of virtual communities can help businesses develop their digital communication and marketing strategies.
Deepfake in Smart Finance and Sustainability
Authors: Aggarwal Kapil Kumar , Kaur Ravneet , Sharma Atul , Mohan Arvind
Published: August 2024

Deepfake technology, which integrates advanced technologies like artificial intelligence, blockchain, and big data analytics, is posing a significant threat to the authenticity and reliability of information in intelligent finance and sustainability. This technology can lead to deceitful investment schemes, false information dissemination, manipulation of market mood, and loss of confidence. To mitigate these risks, a comprehensive strategy should be adopted, including stronger authentication methods, investment in advanced detection technologies, stakeholder education, and regulatory actions. This will ensure investments align with authentic ESG objectives and contribute positively to global sustainability goals, thereby protecting the credibility and efficacy of smart finance and sustainability activities.
DeepFake Technologies
Authors: Sharma Kapil , Taneja Sanjay , Monga Suman
Published: August 2024

Deepfake is an artificial image or video generated specially by “deep learning technology” and hence the name deepfake technology. This book chapter serves as an introductory guide to deepfake technologies, providing a comprehensive overview of their concepts, methods, and applications. The chapter addresses the ethical considerations, societal implications, and emerging challenges associated with deepfake technologies. It discusses concerns related to misinformation, identity theft, privacy infringement, and the erosion of trust in the media. Additionally, it explores ongoing efforts to develop detection methods, regulatory frameworks, and ethical guidelines to mitigate the negative impacts of deepfakes. Beyond technical aspects, the chapter explores the multifaceted applications of deepfakes across industries such as entertainment, journalism, advertising, and beyond.
Banking in the Age of Deepfakes
Authors: Sharma Ambu , Tiwari Rajesh
Published: August 2024

Deepfake technology utilization has grown riskier in the midst of rapidly evolving digital technologies, which has a significant impact on a number of industries, especially finance. To measure the impact of the independent variables given in a conceptual model on the perceived threat of deepfake technology, a questionnaire was framed and circulated in Delhi, the capital of India. Based on the responses collected under the questionnaire, a linear regression model was applied. The significance of this research on the perceived threat of deepfake technology in financial scams among banking professionals lies in its potential to inform and guide the development of targeted training programs, robust security measures, and strategic policy interventions that enhance awareness, trust, and preparedness, thereby fortifying the banking sector against sophisticated digital fraud and safeguarding financial integrity.
Sustainable Development
Authors: Shafik Wasswa
Published: August 2024

Economic success, social equality, and environmental protection are needed to change global standards for sustainable development. Understanding and executing sustainable entrepreneurship is complicated, as this chapter shows. Sustainable service versions are evaluated globally for environmental and social health. Actual prototypes demonstrate sustainable solutions beyond revenue margins and a big service standard departure. CSR shows sustainable entrepreneurship's complicated campaign network. It examines firm, activities, and society's CSR motivations and effects on online reputation and sustainable development. Phase examined industry-specific issues and potential to improve sustainability across industries. The impact of eco-friendly technologies on IT business is examined. Ecological responsibility trends are examined for organizational change. Knowledge is used to create dependable, flexible, and sustainable enterprise plans and identify improvement opportunities.
Putting It Together
Authors: Shahzad Taiba , Zahra Arooj Fatima Tul , Naeem Ayesha , Khan Samra Hayat , Sohail Sehrish
Published: August 2024

This chapter thoroughly examines the interrelationships among nutrition, genetics, and the microbiome, clarifying their collective influence on human health and the defense against chronic illnesses. This text delves into the crucial significance of diet in regulating physiological processes, including metabolic pathways, hormonal equilibrium, and immune system effectiveness. This study focuses on the burgeoning discipline of nutrigenomics, which underscores the impact of dietary components on gene expression and their potential to alleviate hereditary predispositions to different health disorders. Furthermore, the chapter explores the substantial impact of the microbiome on human health, which is mediated by dietary and genetic connections. The chapter concludes by proposing personalized dietary strategies that take into account an individual's genetic composition and microbial profiles. This approach offers a potential avenue for achieving optimal health and preventing diseases by leveraging the complex interplay between diet, genetics, and interactions within the microbiome.
The Impact of Oxidative Stress Biomarkers on Memory in Individuals With Schizophrenia and Antioxidant Use
Authors: Uludag Kadir , Kara Fatih
Published: August 2024

Schizophrenia (SCZ) is a persistent psychotic condition that profoundly affects cognitive abilities across multiple domains, encompassing attention, working memory (WM), short-term and long-term memory, auditory processing, verbal and visuospatial learning, decision-making, problem-solving, and social-cognitive skills. While the etiology of SCZ is complex, oxidative stress (OS) is implicated in its pathology and represents a major theory concerning its onset. In this chapter, the authors adopt a comprehensive approach by integrating both the oxidative and inflammatory theories to provide a more comprehensive explanation for the observed cognitive decline in SCZ patients. By examining the interplay between these factors, they aim to elucidate the intricate mechanisms underlying cognitive deterioration in SCZ and contribute to a deeper understanding of the condition. They conducted an extensive search of MEDLINE, EMBASE, PsycINFO, Microsoft Academic Search Engine, and Google Scholar to identify articles establishing connections between OS and cognitive abilities. Additionally, they explored potential antioxidant treatments for enhancing memory in SCZ patients. To evaluate the efficacy of antioxidants, they incorporated studies involving individuals with SCZ as well as other psychiatric disorders like Alzheimer's disease (AD) to assess the effects of antioxidant consumption on cognitive changes. The role of OS in comprehending the pathology of SCZ is of paramount importance. Moreover, evidence suggests that the utilization of antioxidants can contribute to the amelioration of cognitive symptoms, including improvements in memory function.
Human-Machine Interaction in the Metaverse in the Context of Ethiopia
Authors: Kant Shashi , Adula Metasebia
Published: August 2024

For developing nations like Ethiopia, the idea of human-machine interaction (HMI) in the burgeoning metaverse offers both potential and problems. It is critical to comprehend the changing dynamics of HMI in this new digital arena This chapter examines the current situation of HMI in Ethiopia, including its possible advantages, difficulties, and moral implications. The backdrop gives a summary of the metaverse and its expanding influence, proving that HMI analysis is necessary in this revolutionary technological environment. The chapter looks at several uses of the metaverse, ranging from social interaction and entertainment to virtual labor and education. It examines the potential that mobile apps provide to Ethiopia. But the conversation also explores the difficulties brought on by practical problems. With an emphasis on the Ethiopian experience, this chapter provides an extensive analysis of the changing HMI dynamics inside the metaverse. It seeks to add to the current conversation about the ethical advancement and use of metaverse, especially with regard to impoverished countries.
Tech-Enhanced Early Learning
Authors: Asrifan Andi , Hamid Restu Januarty , Syawal Syawal , Muthmainnah Muthmainnah
Published: August 2024

This chapter provides a comprehensive review of the integration and impact of persuasive educational technologies in early childhood education. It explores the theoretical frameworks and cognitive development principles underpinning these technologies' use, emphasizing their potential to enhance learning outcomes and engagement among young children. The review covers various topics, including multimedia tools, virtual tutors, educational robotics, and digital game-based learning. It also addresses the ethical considerations and challenges associated with implementing persuasive technologies in educational settings. The role of artificial intelligence and machine learning in personalizing learning experiences is highlighted, along with the importance of a socio-ethical approach to ensure the responsible use of these technologies. By synthesizing insights from various research articles, this chapter aims to provide valuable guidance for educators, policymakers, and developers in effectively leveraging technology to support early childhood education.
EFL Student Perceptions and Acceptance of Microsoft Teams-Based Language Learning During the War on Gaza
Authors: Dweikat Khaled , Bsharat Tahani R. K. , Ahmad Ismail Sheikh
Published: August 2024

The chapter presents a study that explored the perceptions of university students majoring in English language and literature at a Palestinian university towards Microsoft Teams (MST) during the war on Gaza that started on the seventh of October 2023. The study also sought to investigate the students' readiness and acceptance of Microsoft-based online learning. The results of the study highlight the positive effects of MST and contextual variables' impact. Furthermore, the study emphasizes the role of MST in facilitating education, offering cost savings, improving communication, and overcoming challenges like internet connectivity issues, especially for Palestinian students which helps in providing more accessible learning opportunities. Besides, the findings highlight several challenges like distractions and Internet connection issues. The study recommends enhancing concentration through interventions and addressing home distractions.
Integrating Imaging Techniques in Multimedia Technology for Enhancing Fine Arts Education in Chinese Primary Schools
Authors: Huan Meng , Sanmugam Mageswaran , Liu Jinya
Published: August 2024

The study reveals that integrating imaging techniques in multimedia technology in Chinese primary schools enhances students' artistic skills and creativity. It uses digital photography, image editing software, and digital painting to create interactive learning environments, enhancing students' ability to express and appreciate art. The study compares multimedia-assisted teaching with traditional methods and finds that multimedia elements significantly improve students' engagement, understanding, and retention of artistic concepts. Effective teacher training is crucial for successful implementation. The study suggests that future research should explore the long-term impact of these technologies on artistic development and continuously improve multimedia teaching methods to meet evolving educational needs.
Optimizing Acceptance Testing
Authors: Ali Wan Nor Ashiqin Wan , Yahaya Wan Ahmad Jaafar Wan
Published: August 2024

This study examines the acceptance and usability of DVC-LS, a digital video courseware, in Malaysian TVET universities. It utilizes SUS and NASA-TLX Workload approaches to gauge student perceptions. SUS measures overall acceptance, while NASA-TLX evaluates workload. Data collection involves administering SUS questionnaires and NASA-TLX Workload forms, with analysis based on respective scoring methodologies. Results show positive reception of DVC-LS among TVET students, with favorable SUS scores and manageable workload according to NASA-TLX assessments. The study focuses mainly on quantitative assessments, potentially overlooking qualitative insights. It suggests integrating the Waterfall-ADDIE model for effective digital courseware development and emphasizes considering both usability (SUS) and workload (NASA-TLX) in user acceptance testing. Socially, the study contributes to educational modernization, potentially reducing educational disparities. This research combines digital courseware development and acceptance testing elements, enriching the existing literature in the field.
Commerce in the 6G Era
Authors: Singh Ashutosh , Moorthy K. Sankara , Thipparaju Kavitha Rani , Bathrinath S. , Singh Sanjeev Kumar , Kalra Gourav , Dadheech Pankaj Dadheech
Published: August 2024

Significant implications for business are brought about by the advent of the 6G era, which is characterized by increased connectivity and extremely low latency. This chapter investigates the transformative potential of 6G technology and highlights the impact that it has on the operations of businesses. Nevertheless, the promises of 6G are accompanied by an increase in the number of security challenges, which calls for the incorporation of stringent security measures into business strategies. In the era of 6G, it is absolutely necessary to recognize new dangers that are specific to 6G networks to comprehend the significance of data protection and to reduce the risks that are associated with internet of things devices and edge computing.
E-Commerce Resilience Strategies for Mitigating 6G Security Threats
Authors: Sureshkumar S. , Thamilselvan R. , Rani K. Usha , Srinivasan Vellayan , Arularasan A. N. , Yuvasri B. , Dadheech Pankaj Dadheech
Published: August 2024

With e-commerce constantly changing, the introduction of 6G technology presents both possibilities and difficulties. This chapter examines how e-commerce and 6G intersect, emphasizing how important it is to have strong security measures in place to counter new threats. The chapter starts with a summary of the 6G era's e-commerce environment and looks at the security issues that come with it before going into detail about the particular risks that 6G technology poses to e-commerce platforms. After that, the chapter turns its attention to methods for making e-commerce platforms more resilient to these attacks. It looks at how important it is to strengthen access controls and authentication, encrypt data for better security, and create effective disaster recovery plans.
Smart Farming in 6G Navigating Security Challenges for Agricultural Innovations
Authors: Tirlangi Satyanarayana , Babu Bachina Harish , Meenakshi S. , Sugumar D. , Manikandan R. , Dhanraj Joshuva Arockia
Published: August 2024

The coming together of smart farming and 6G technology is a big change in the way agriculture is innovated. It opens new ways to improve productivity, sustainability, and resilience that have never been seen before. This chapter looks into the complex connection between smart farming methods and the rise of 6G technology, stressing how important security is for improving farming technologies. The introduction gives a full picture of smart farming and how important it is for solving modern farming problems.
Classifying Minds, Framing Well-Being
Authors: Efthymiou Efthymia , Katsarou Dimitra V. , Sofologi Maria , Argyriadis Alexandros , Argyriadi Agathi
Published: August 2024

This chapter focuses on Basil Bernstein's sociolinguistic theory, emphasizing classification and framing, to provide a comprehensive framework for understanding the organization and transmission of knowledge within educational settings. It examines the implications of this theoretical perspective on pedagogic practices and curriculum design, particularly in inclusive schools. The study scrutinizes how knowledge structure impacts students' mental well-being, self-esteem, and confidence. By exploring both visible and invisible curricula, the chapter reveals how educational practices influence students' mental health. Employing a qualitative approach, the chapter synthesizes literature reviews, case studies, and key milestones in educational history. It establishes a theoretical foundation for understanding how classification and framing in education can promote mental health outcomes. Practical recommendations for educators and policymakers are provided to create supportive, inclusive learning environments that nurture students' mental well-being, resilience, and positive connections to learning. This theoretical framework contributes to informed decision-making, advocating for inclusive practices for students with special needs.
The Play as a Mediator of Learning and Psychosocial Empowerment of Children With Learning Difficulties
Authors: Katsarou Dimitra V.
Published: August 2024

Play and playful forms of development and imitation are placed at the center of the child's early developmental years. Regarding the learning support of children with special learning difficulties in reading, play, and especially the social type of play, contributes to the strengthening of phonological and phonemic processing, but to the practice of phonological awareness, through the phonological decoding of words, into phonemic and syllabic level, through the improvement of vocabulary and through the repetition of words. As a result, there is the restoration of any phonological deficits that make it difficult to process the reading ability, and by extension, the strengthening of reading fluency and accuracy. At the same time, through the play, the above-mentioned skills directly related to reading ability are supported, keeping children's interest in the classroom and minimizing the fatigue caused by frequent repetitions. The purpose of this chapter is to highlight the key role of play in the processes of learning and psychosocial empowerment of children with learning difficulties.