bluuebunny/crossref_metadata_2025 huggingface dataset:
Evidence-Based Education on Care of LGBTQ Patients: Improving Knowledge and Attitudes Among Pediatric Nurses
Authors: Maihle Christine , Anderson Avery M. , von Sadovszky Victoria
Published: December 2023

Background:

Due to stigma and mistreatment, lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ) patients and their families often face barriers to accessing and receiving equitable health care. Pediatric settings are not immune to this health inequity, yet there is limited literature to address it with pediatric nurses.

Method:

An evidence-based education program on the care of LGBTQ patients was delivered electronically to pediatric nurses. Using a pre- and posttest design, knowledge and attitudes regarding care of LGBTQ patients were collected via online questionnaires.

Results:

Knowledge significantly increased from pre- to posttest (
p
= .02). Attitudes related to LGBTQ concepts either remained consistently positive or shifted in the positive direction.

Conclusion:

Providing education regarding LGBTQ patients to pediatric nurses can improve related knowledge and attitudes. Expansion of evidence-based LGBTQ education to pediatric nurses is likely to contribute to lessening the health care barriers and inequities faced by these patients and their families.

[
J Contin Educ Nurs
. 2024;55(4):181–186.]
Using a Behavioral Health Integration Model in a Family Nurse Practitioner Residency
Authors: Wynn Stephanie T.
Published: December 2023

Background:

Primary care serves as an entry point for many patients to access health care services, especially those who reside in medically underserved areas. Because an initiative exists for family nurse practitioners (FNPs) to fill primary care gaps in medically underserved areas, they must be included in educational strategies to provide quality behavioral health care within their scope of practice.

Method:

An academic-practice partnership was used to provide FNP residents the opportunity to learn to work within their scope of practice in a behavioral health integration model.

Results:

The residents noted satisfaction with the learning environment, supervisory relationship, and role of the faculty.

Conclusion:

Innovative continuing education activities are needed to prepare novice FNPs to safely practice and enter into a health care workforce pipeline focused on reducing disparities in medically underserved areas.

[
J Contin Educ Nurs
. 2024;55(4):203–208.]
Exploring the Complexities of Promoting Health in Families in an Obesogenic Environment
Authors: Schmelzer Laura , Krishnagiri Sheama
Published: December 2023

Childhood obesity is a serious public health concern, and although the complexity of this issue is now recognized, programming has yet to consider the interconnected nature of the contributing factors. This study, guided by grounded theory, sought to discover how mothers are attempting to promote health in a seemingly obesogenic environment. Data were collected via 22 semi-structured interviews, 55 personal diary entries, and 11 parenting style questionnaires. Constant comparative analysis occurred until theoretical saturation, and strategies to increase trustworthiness were used. Themes included (a) Managing Time, Managing Chaos; (b) Cultural Infatuation with Food; (c) Managing Health from a Distance; (d) Fluctuating Challenges and Supports; (e) Strategies; and (f) Resulting Actions/Interactions. Additionally, a substantive-level theory was developed. Findings highlight the importance of developing contextually relevant, family-based interventions for overweight children and their families, and propose a shift in current program development for this population.
The existence of a graph whose vertex set can be partitioned into a fixed number of strong domination-critical vertex-sets
Authors: Zhao Weisheng , Li Ying , Lin Ruizhi
Published: December 2023

Let $ \gamma(G) $ denote the domination number of a graph $ G $. A vertex $ v\in V(G) $ is called a critical vertex of $ G $ if $ \gamma(G-v) = \gamma(G)-1 $. A graph is called vertex-critical if its every vertex is critical. In this paper, we correspondingly introduce two such definitions: (i) A set $ S\subseteq V(G) $ is called a strong critical vertex-set of $ G $ if $ \gamma(G-S) = \gamma(G)-|S| $; (ii) A graph $ G $ is called strong $ l $-vertex-set-critical if $ V(G) $ can be partitioned into $ l $ strong critical vertex-sets of $ G $. Therefrom, we give some properties of strong $ l $-vertex-set-critical graphs by extending the previous results of vertex-critical graphs. As the core work, we study on the existence of this class of graphs and prove that there exists a strong $ l $-vertex-set-critical connected graph if and only if $ l\notin\{2, 3, 5\} $.
Classification of the symmetry Lie algebras for six-dimensional co-dimension two Abelian nilradical Lie algebras
Authors: Almutiben Nouf , Boone Edward L. , Ghanam Ryad , Thompson G.
Published: December 2023

In this paper, we consider the symmetry algebra of the geodesic equations of the canonical connection on a Lie group. We mainly consider the solvable indecomposable six-dimensional Lie algebras with co-dimension two abelian nilradical that have an abelian complement. In dimension six, there are nineteen such algebras, namely, $ A_{6, 1} $–$ A_{6, 19} $ in Turkowski's list. For each algebra, we give the geodesic equations, a basis for the symmetry Lie algebra in terms of vector fields, and finally we identify the symmetry Lie algebra from standard lists.
Study of the low-cost HIPS and paraffin-based terahertz optical components
Authors: Stanaitis Kasparas , Redeckas Karolis , Bielevičiūtė Augustė , Bernatonis Matas , Jokubauskis Domas , Čizas Vladislovas , Minkevičius Linas
Published: December 2023

The ever-increasing popularity of the terahertz (THz) frequency range reveals the increasingly obvious applicability limiting factor – the price of the final setup. This study is intended to contribute to the solution by evaluating the THz frequency range suitability of the optical components, fabricated using two easily accessible materials – high impact polystyrene (HIPS) and paraffin. The primary analysis using time-domain spectroscopy (TDS) revealed promising results, as both materials had sufficient refractive indexes of n ≈ 1.55 and a high transmittance. That allowed one to assume the feasibility of creating a low-cost THz frequency range lens. Lenses of focal lengths of f = 20, 30, 40 mm were fabricated using extrusion 3D printing and paraffin moulding. The produced lenses showcased the satisfactory beam focusing ability, comparable to that of already existing much less cost-efficient solutions. The THz imaging using the fabricated lenses has successfully been realized, proving the applicational possibilities of the imaging system with the proposed low-cost components employed.
Therapeutic Strategies for Lysosomal Storage Diseases by Targeting Glial Cells
Authors: Es-Said Sabir , Naima Fdil
Published: December 2023

Lysosomal storage disorders (LSDs) are a group of about 70 life-threatening conditions caused by genetic defects affecting lysosomal components. The underscoring molecular deficiency leads to widespread cellular dysfunction through most tissues in the body, including peripheral organs and the central nervous system (CNS). Clinical and experimental strategies encompassing enzyme replacement, gene and cell therapies, substrate reduction, and chemical chaperones are showing considerable potential in attenuating the peripheral pathology. Microglial and astrocyte activation is a hallmark of many LSDs that affect the CNS, which often precedes and predicts regions where eventual neuron loss will occur. However, the timing, intensity, and duration of neuroinflammation may ultimately dictate the impact on CNS homeostasis. For example, a transient inflammatory response following CNS insult/injury can be neuroprotective, as glial cells attempt to remove the insult and provide trophic support to neurons.
Crop Improvement Strategies and Principles of Selective Breeding
Authors: Singha Surjit , Singha Ranjit
Published: December 2023

Introducing new crop varieties, crop improvement, and selective breeding enable contemporary agriculture to alleviate food poverty, increase crop production, and enhance product quality. This chapter covers selective breeding, genetically modified crops, genetic resource conservation, and upcoming technologies. Selective breeding discusses heritability, gene frequency, dominance, and epistasis to predict genetic progress. Agricultural innovation involves genetic variety and variation to develop robust and high-performing crop types. Mass selection, pedigree selection, and recurrent selection for trait enhancement are investigated. Marker-assisted and genomic selection are tested for breeding speed and accuracy. The chapter covers genetically modified crops, agricultural improvement, and genetic resource conservation for sustainable agriculture. Gene editing, synthetic biology, and machine learning may boost agricultural yields. According to the abstract, crop development and selective breeding are essential for food security, sustainability, climate change, and agricultural demands.
Impacts and Mitigation Strategies of Abiotic and Biotic Stresses in Olive Orchards in the Era of Climate Change
Authors: Azenzem Rachid , Koussa Tayeb , Alfeddy Mohamed Najib , Kassout Jalal
Published: December 2023

Climate change is the most critical issue threatening human survival. Droughts, heat waves, and floods are examples of extreme events that pose a threat to global ecosystems and future food security. Such changes have a significant impact on the biotic and abiotic components of agroecosystems. The olive tree (Olea europaea L.) is of considerable economic importance in many countries worldwide. Nowadays, its cultivation is facing new challenges related to climate change, such as environmental stresses, pest outbreaks and increased incidence of pathogens. Therefore, various abiotic stresses, such as heat, drought, flooding, and salt, are hostile to the growth and development of olive trees, resulting in significant yield losses. Global climate variations can make trees vulnerable, promote the spread of pests and pathogens, accelerate their development, and weaken or eliminate their competitors and natural enemies. To address this situation, adaptable management techniques and changes in agricultural practices are needed to mitigate the effects of biotic and abiotic stresses.
Strengthening Capacity for Climate Change Adaptation of Moroccan Agriculture
Authors: Ibba Khaoula , Kassout Jalal , Er-Raki Salah , Oulbi Sara , El Mansouri Loubna , Boselli Vladimiro , Bouizgaren Abdelaziz , Sikaoui Lhassane , Hadria Rachid
Published: December 2023

Agriculture in the Mediterranean region is substantially challenged by climate change, and olive growers in particular are facing difficulties because of its effects. In this regard, the olive sector can adopt deficit irrigation strategies, to achieve sustainable management practices that improve water productivity and save irrigation water. This chapter aims to investigate the potential impacts of deficit irrigation strategies on Menara olive tree. Agronomical parameters were assessed in 2021 and 2022, focusing on trees subjected to regulated (RDI) and sustained (SDI) deficit irrigation. The results showed that the performances of Menara olive trees under controlled water stress are better under RDI strategy compared to SDI one. Moreover, the RDI strategy, particularly under specific treatment, allowed to reduction of supplied water by 20% and 40% during sensitive and normal periods, respectively. These results highlight the importance of water management strategies and the need to consider their implications on flowering traits, crop yield, and fruit quality over consecutive growing seasons.
Protozoan, Animal, Socio-Ecological Factors, and Vectorial Diseases
Authors: Achichaou Saadia , Ayach Hajar , Akhatar Fatima Ezzahra , Modrak Yassmine , Zahir Sawsane , Karmaoui Ahmed
Published: December 2023

Leishmaniasis is a parasitosis caused by a flagellate protozoan of the genus Leishmania, transmitted by a vector (Phlebotomus) from a reservoir, rodent. It is endemic in several countries in the Mediterranean region including Morocco. This is a retrospective and descriptive study of the epidemiological profile of leishmaniasis in the province of Errachidia over the period 2012-2022. The total number of cases recorded during this period is 6726 cases. This number is very high, and despite control programs, the province of Errachidia continues to record cases, reaching 105 cases in 2022. The seasonal distribution of leishmaniasis cases was more concentrated in the autumn-winter seasons of each year. The majority of cases were recorded in rural areas, and Goulmima was the most affected district in the whole province. The authorities concerned have set up a surveillance and control program aimed at reducing the number of cases and limiting the geographical spread of leishmaniasis.
Between Digital Dentistry and Geriatric Care in Sub-Saharan Africa
Authors: Adakawa Murtala Ismail , Harinarayana N. S. , Sokolova Elizaveta Vitalievna
Published: December 2023

This chapter explores digital dentistry and geriatric care in sub-Saharan Africa from information giving and use perspective. There is a growing concern about the increased population turning into elderly groups. Most of the healthcare systems neglect them or where they provide such services; they do so in fragmented ways. Interestingly, the rest of the globe, particularly developed countries, have gone far in incorporating innovative technologies that allow healthcare delivery electronically. Most data lacks sufficient reviews to supplement evidence-based practice on what information giving and getting is and where they differ as such affecting health information behavior of elderly people. The approach used in developed countries to impart knowledge on elderly people directly may not work on the African continent. Such approaches are mostly used to enhance the cognitive abilities of elderly people. In Africa, such initiations should be directed at social institutions, family members, etc. for elderly people to use technology appropriately.
Dental Implant Selection
Authors: Satapathy Suchismita , Chauhan Hullash , Mishra Debesh
Published: December 2023

Elderly dental patients suffer from toothache and lose their teeth without proper care, particularly diabetics and other chronically ill people who used to suffer from more dental problems and fear of surgery or implantation techniques. These patients also avoid visiting doctors or dentists for treatment and suffer from not eating or chewing. Hence, a study was conducted to study the barriers to geriatric dentistry among patients above the age of 60/65 in Odisha. Further selection of dental implant materials for elderly people was done by E_DAS (evaluation based on distance from average solution) multi-criterion decision-making method, such that the best implant material could be prioritized. Then the statistical study on site selection for implants is conducted with variations in temperature during the tooth implantation process. This chapter will help in the proper selection of dental materials by considering older patients. It will also help guide the proper and better treatment procedures for senior people, which can reduce the fear factor in dental treatment.
The Use of Artificial Intelligence in Gerodontology in the Age of Digital Technology
Authors: Moulay Bouabdellah
Published: December 2023

The age of digital technology and transformation has brought numerous innovative benefits to the medical field. One of these innovations is the rise in the use of artificial intelligence in treating patients who suffer from both simple and chronic illnesses. Geriatric dentistry is one of those medical domains that is starting to use this new technology to diagnose and treat the oral cavities of its elderly patients. The purpose of this research is to investigate the usage and implementation of artificial intelligence and other technologies in geriatric dentistry by using the biopsychosocial model of ageing as a framework to help dentists with elderly patients. Since this breakthrough is a new and obscure type of tool, little is known about the many leaps it has made, the quality of the results, the availability of the data it generates, its integration into clinical care, and its ethical considerations concerning safety and privacy.
Emotions and Food Digital Practices on Instagram
Authors: Mairano Maria Victoria
Published: December 2023

Considering the changes in social relationships and social practices across the planet, caused by digitalization processes, networking, and Society 4.0, this chapter aims to problematize the connections between digital emotions in relation to food, new properties of politics of sensibilities around food digital practices, and the operation of algorithms and big data on digital platforms. With that objective, the authors focus on investigating food practices on Instagram, based on the figure of food influencers and the digital emotions that are crystallized there in relation to eating.
Life Experiences and Emotions Around Robotics in Teachers
Authors: De Sena Angelica , Chahbenderian Florencia
Published: December 2023

In recent decades, the use of robotic tools has expanded in various areas of work and daily life, therefore also in school at different levels, particularly at the initial level. Reviewing the use of robotics tools implies turning our gaze towards teachers. This chapter aims to understand the meaning of the use, along with the emotions and experiences by teachers, of the Blue-Bot Programmable Children's Robot, as a digital education tool at the initial level. To do this, it analyzes the particular case of kindergartens in Vicente Lopez, Buenos Aires, Argentina, based on a qualitative methodology, with the use of ethnography and Expressive Creative Encounters device (ECE). This allows understanding of the elements that operate in the robot's experience, on the one hand, tied to local contexts and, on the other, to the robot device between the analog and the virtual which combines fear, uncertainty, and anxiety.
AI and Robots in Science Fiction Movies
Authors: Korstanje Maximiliano Emanuel
Published: December 2023

Artificial intelligence has revolved around the ideological core of social sciences as never before. Public opinion shows exegetes of AI and detractors who feared the advance of robots and AI in human life. Although AI makes life for humans faster and easier, no less true is that it reduces human autonomy, probably threatening future jobs. Quite aside from this, this chapter interrogates the impacts of AI and technology in science fiction movies. The authors analyze the critical position of different scholars regarding movies or Sagas such as The Terminator, Matrix, and HBO Saga Westworld. From a sociological perspective, they approach the problem of technology while placing it under the critical lens of scrutiny. In so doing, seminal voices like Paul Virilio, Jean Baudrillard, and Jacques Ellul are put in the foreground. Plausibly discussing the advance of AI in daily life is interrogating the future of digital society.
Reincarnating in the Age of the Algorithm
Authors: Duperré Jorge Luis , Lisdero Pedro
Published: December 2023

This chapter delves into the emergence of sensibilities surrounding death, driven by recent technological advancements in the field of artificial intelligence. The primary focus lies in the realm of emotions and bodies connected to the digital recreation of the deceased. To accomplish this, it employs virtual ethnography principles to scrutinize visual components within both fictional contexts, such as series and films addressing this phenomenon, and non-fictional domains, including emerging interactive devices and platforms related to 'death'. Drawing from the foundations of sociology of emotions and bodies, the analysis centers on a collection of 'contemporary postcards'. These postcards serve as condensed depictions, offering valuable insights into the evolving sensibilities associated with death, a crucial element for comprehending ongoing processes of social structuration.
The Effects of the Instant Messaging Application WhatsApp on the Efficiency of Employees Under Pandemic Conditions
Authors: Serttaş Aybike , Sarıkaya Tugay
Published: December 2023

The objective of this study is to investigate the impact of WhatsApp, an instant messaging application, on various aspects, particularly employee productivity and integration. To accomplish this, the authors formulated five hypotheses centered around the following question: “How does the utilization of instant communication tools influence employee productivity and integration?” To conduct this research, they conducted in-depth interviews with 17 individuals who were working remotely. Subsequently, the data from these interviews were analyzed using a descriptive analysis method. The findings of this research indicate that while instant communication technologies offer convenience in communication, they tend to diminish productivity. This is primarily attributed to their potential disruption of the work-life balance and their perception as informal means of communication.
Verification Platforms in Combating Disinformation on COVID-19 Vaccine News “Dogrula”
Authors: Atay Aygül
Published: December 2023

This chapter examines the fact-checking content focusing on misinformation and fake news about COVID-19 vaccines, especially in the media, through the example of Doğrula (doğrula.org), an international fact-checking organization (ICFN) approved fact-checking platform. The data were obtained from the website of the relevant platform (www.dogrula.org). Based on the problem that many distortions, fake news, and claims about COVID-19 vaccines are shared through digital media, the study examines Doğrula's evaluations of the posts about COVID-19 vaccines circulated in digital media channels. The descriptive analysis method, one of the qualitative research types, was used in the study. Data were obtained through the document analysis technique. Due to a large amount of data to be analyzed within the scope of the study, it covers a one-year period from 25.02.2021 to 25.02.2022, the date when Doğrula first published content.
AI-Powered Healthcare System to Fight the COVID-19 Pandemic on Federated Learning
Authors: Gnanamurthy S. , Raguvaran S. , Suresh Kumar B. , Santhosh Kumar C. , Hemawathi M. S.
Published: December 2023

The COVID-19 pandemic has caused several healthcare-related problems around the world. The pandemic has highlighted the shortcomings of employing current digital healthcare tools to manage public health emergencies. As a result, the COVID-19 issue has forced countries and research organizations to reassess healthcare delivery solutions to continue supplies while people stay at home or practice social isolation. Innumerable works of fiction have attempted to anticipate stock market returns and volatility using AI and machine learning. There is a dearth of a comprehensive overview of the various research orientations, discoveries, methodological methods, and contributions in the field of AI applications in finance. This research replicates realistic scenarios using a real COVID-19 dataset and evaluates issues such as model repetition delays, assuring the model's reliability and applicability. According to research findings, using this technology will enable medical professionals to detect coronavirus disease, achieve multiparty involvement in training, and improve data protection.
A Study and Analysis on Diagnosis of Melanoma Cancer With Deep Learning
Authors: Reddy P. Yashashwini , Kumar Reddy C. Kishor , Sithole Natassia Thandiwe
Published: December 2023

The riskiest type of skin cancer is known as melanoma cancer, with more than millions of human populations identifying with this type in the last two decades around the world. Swift spreading nature to other areas of the body makes this type of cancer the most hazardous cancer among all other skin cancers. It can be reversed if identified at its primary stage, else chances of survival would be less if it is identified in its severe stage. There are several conventional methods to identify melanoma at primary stage performed by skin doctors, but there are a few limitations. To overcome the setbacks of conventional methods, artificial intelligence has been introduced to detect melanoma cancer. The application of concepts of artificial intelligence (AI) made a good enhancement in the field of medicine. A deep learning algorithm termed CNN is highly opted in melanoma detection as it shows appropriate outcomes.
Surveillance of Age and Gender With ML
Authors: Rastogi Rohit , Gupta Mayank , Gupta Kaushlendra , Kulpriya Saumya
Published: December 2023

Gender and age classification is a major role for many purposes in the world. Humans have god-gifted facilities to recognize any gender and their age, but they cannot notice all the people, so the author team has trained the machine to work at those which are not capable of recognizing by simply seeing the people. Nowadays, the age and gender classification have a major role in the market, surveillance, security, etc. This research work for age and gender detection is different from the other project for facial recognition. As in this research, fisherface algorithm has been used which is very easy and accurate, and which simply works on the basis of facial recognition. The authors have used an audience dataset which is today's most demanding dataset as it is a self-updated dataset, and easily available on the open source. It basically depends on the deep learning in which openCv is used for the implementation of the given algorithm and dataset. As it does not require any complex calculations to recognize the faces, it is very fast and easy to use as compared to the other projects.
Ensuring Halal Compliance in AI-Driven Healthcare Solutions
Authors: Rahman Md. Mahfujur
Published: December 2023

The convergence of artificial intelligence (AI) and healthcare has ushered in a new era of medical innovation. While these AI-driven healthcare solutions hold great promise, it is crucial to ensure that they align with the principles of Halal, particularly in regions and communities where Halal practices are integral to our lives. This chapter explores the multifaceted landscape of Halal compliance within the context of AI-driven healthcare solutions, offering a comprehensive examination of the challenges, considerations, technological advancements, ethical dimensions, and regulatory aspects surrounding this critical intersection. Through real-world case studies and insights into emerging trends, this chapter equips healthcare professionals, technologists, and policymakers with the knowledge necessary to navigate the complex landscape of Halal healthcare in the age of AI.
The Impact of Emotional Intelligence on Employee Retention
Authors: Salihy Hasiba , Sharma Dipanker
Published: December 2023

This literature review examined the impact of emotional intelligence (EI) on employee retention. Emotional intelligence refers to an individual's ability to effectively manage and regulate their own emotions while understanding the emotions of others. The study explores the relationship between EI and turnover intention, highlighting the significance of emotional intelligence in practical outcomes. This chapter examined relevant data from various sources, including research articles, case studies, dissertations, and books. By analysing this corpus of research papers, the authors examined the work conducted in the respective areas. Various studies have demonstrated that high emotional intelligence is associated with various organization's outcomes. The review also considers the role of factors such as employee retention. The findings indicate both positive and negative correlations between emotional intelligence and turnover intention, with some studies showing a significant relationship and others suggesting no substantial correlation.
Emotional Intelligence and Conflict Resolution in the Workplace
Authors: Sharma Priya , Dhanta Rozy , Sharma Atul
Published: December 2023

Emotional intelligence (EI) and conflict resolution (CR) play an indispensable momentous part in the well-ordered run for a composite and extensive workplace. EI could be outlined as the potential to acknowledge fondness and hold sentiments productively. EI assists to channelize emotions to provide capacity to deal with conflict more constructively, which proceeds to effectual conflict management. Conflict is the scuffle between minimal two interdependent parties who become cognizant of antagonistic goals, scanty rewards, and intervention from other parties in the attainment of their goals. Thus, conflict resolution acts as part of a requisite role in a sustained manner to settle a complication or controversy pragmatically, and provide for a healthy association within the organization. A systematic literature review (SLR) was done, which highlights the association between EI and CR in the workplace, and suggests embracing them to create healthy workplace.
Relationship Between AI and Green Finance
Authors: Jangid Jatin , Bhardwaj Bhawana
Published: December 2023

Green finance shows the pathway to address climate change related issues and helps in achieving the sustainable development goals (SDGs). Investor confidence is imperative for the growth of any financial instrument. Introduction of blockchain and fintech in green finance instruments helps to earn investor confidence. The purpose of the current study is to analyze the association and hedging effects between the artificial intelligence (AI) and green finance (GF). Data was extracted with the help of ‘yahoofinance.com'. Correlation analysis was performed with the help of software R to address the objective of the study. Implication of the study helps investor to diversify their portfolio and helps issuers to issue AI enabled GF instruments.
Revolutionizing Customer Service and Experience
Authors: Rana Richa , Das Hatibaruah Pratibha
Published: December 2023

This chapter delves into the crucial role played by artificial intelligence (AI) in redefining customer service and augmenting the overall experience for customers. In the current era, which is characterised by continually shifting and ever-demanding customer expectations, enterprises are increasingly adopting artificial intelligence (AI) as a powerful tool to effectively fulfil and surpass these demands. This study goes into detail about the various applications of artificial intelligence (AI) in the field of customer service, encompassing the utilisation of chatbots, virtual assistants, and personalised recommendation systems. Overall, this study offers a detailed overview of how artificial intelligence is transforming customer experience and service, as well as recommendations, best practices, and case studies for businesses seeking to leverage AI in order to provide exceptional customer support.
The Use of Artificial Intelligence in Supply Chain Management and Logistics
Authors: Dwivedi Dwijendra Nath
Published: December 2023

There are multiple changes with supply chain management and logistics industry post covid. Keeping the right level of inventory can be challenging, as it involves balancing the cost of carrying inventory against the risk of stockouts. Forecasting demand accurately and managing inventory across multiple locations are also key challenges. Factors such as transportation mode, route optimization, and carrier selection can all impact the efficiency and cost of transportation. As consumers become more environmentally conscious, sustainability is becoming an increasingly important issue in the supply chain. Companies need to consider the environmental impact of their operations and products and find ways to reduce waste and carbon emissions. The use of technology is becoming more widespread in the supply chain, with tools such as automation, artificial intelligence, and the internet of things (IoT) becoming increasingly popular. Overall, the use of AI in supply chain management and logistics can help organizations make more informed decisions, reduce costs, and improve customer satisfaction.
Legal, Ethical, and Risk Issues in Human Resources
Authors: Gupta Deepika R.
Published: December 2023

Human resources evolved after industrialization when labour welfare became the main social reform across industries. It deals with vast functions like employment, wage and salary administration, industrial relations, organizational planning and development, and employee services for the workforce. Therefore, human resources must frame their policies, rules, and regulations within the legal and ethical frameworks of the nation in which the organization is operating. Adherence to legal and ethical bases define organization's health such as productive efficiency, labour turnover, internal mobility, complaints and grievances, accidents, and other related parameters that indicate profitability, sustainability, social justice, and others. Historical growth and development underwent tremendous changes due to technological intervention in human resource functions. The major push in digital transformation was due to uncertainties and ambiguities resulting from the COVID-19 pandemic that caused changes in structure, workforce, and decision-making processes of organizations globally.
Diversity and Inclusion in Telework for Persons With Disabilities After COVID-19
Authors: Seino Kai
Published: December 2023

This chapter reviewed the extant literature on teleworking of individuals with disabilities during the pandemic. The authors searched PubMed and Google Scholar databases for English-language articles, which yielded 163 articles from PubMed and 417 articles from Google Scholar. They reviewed those articles that aligned with the objectives of this research. The results show both potential benefits and challenges. Telework offers increased flexibility and control over work schedules and environments, which is beneficial for workers with disabilities. However, telework also presents unique challenges, such as the digital divide and the need for appropriate technology and workspace. The authors identified factors influencing the work experience of teleworkers with disabilities, including physical and mental health, work skills, work values, and work environment. The findings underscore the importance of considering the unique needs of people with disabilities in telework practices. The study also suggests the need for continued research and policy attention in this area.
Conceptualizing Job Attributes Minoritized Gen Z College Students Seek in Employers
Authors: Li Yuan , Hornsby Gilpatrick , Pate Joshua
Published: December 2023

Job preferences of college graduates before entering their professional fields is an area that should receive attention, particularly during the COVID-19 pandemic. Job choice decisions literature suggests that demographic characteristics can impact individual's employment preferences, but little is known about what the current generation of college students (i.e., Generation Z) seek in a job. This study focuses on what job attributes Gen Z college students sought in employment during the pandemic. Additionally, the study explores job attributes minoritized Gen Z college students seek or avoid in employment. The findings of an online survey among 393 graduating college students suggest race and gender affect job preferences. The factors coworker/policy, status/advancement, diversity/work itself, and schedule/relocation are what college graduates seek. Moreover, the qualitative data analysis revealed four themes regarding qualities minoritized graduates seek and two themes regarding deal breakers for minoritized graduates.
The Struggle of South Africa's Labor Market
Authors: Madumi Phathutshedzo
Published: December 2023

The South African labor market is facing several challenges, including stagnant real wages and rising living costs. These challenges have significant implications for workers, their families, and the broader economy. This chapter has explored the challenges facing the South African labor market, and their implications for workers and their families. The chapter has also provided potential solutions, including policy interventions that promote wage growth and reduce living costs, as well as education and training policies that promote social mobility. Addressing these challenges will require a comprehensive approach that involves policymakers, civil society, and the private sector. By implementing these solutions, South Africa can build a more prosperous and equitable labor market that benefits all of its citizens.
Role of Technological Innovation and Its Governance in Entrepreneurial Evolution
Authors: Kumar Rishi Kant , Hoor Adeeba , Jain Sudhir K. , Singh Rana , Kumar Kumod , Kumar Prashant , Chamaria Apurva
Published: December 2023

Studies showcase various aspects of innovation strategies, knowledge sharing, and the role of family firms. Despite this, the authors note the lack of a comprehensive review of technological innovation in entrepreneurship research. This study provides an overview of the relationship between entrepreneurship and technological innovation by conducting a systematic literature review spanning four decades, from 1979 to 2020. It aims to answer three research questions related to the theories and methodologies used, the examined themes, and the implications for researchers while emphasizing the role of electronics governance. Furthermore, the study identifies several key themes in literature, including social capital and entrepreneurship, economic growth and entrepreneurial economy, policy intervention, knowledge economy, and tech venture development. These themes reflect the multifaceted nature of the relationship and offer valuable insights for future research.
Evaluation of Interactive College Piano Teaching's Effect Based on Artificial Intelligence Technology
Authors: Liu Ying
Published: December 2023

In recent years, with the economic development of various countries, education has also made great leaps, and piano teaching has been popularized and promoted in various universities. Pianos are also put into use in universities through normal channels. According to the survey, there are certain drawbacks in the teaching process of piano, which hinder the teaching effect to a great extent. In order to better adapt to the interactive teaching mode, this paper takes the flipped classroom in piano teaching as an example to conduct a systematic study based on the method of artificial intelligence. This paper introduces three typical artificial intelligence technologies and analyzes the three evaluative indicators corresponding to the effect of piano interactive teaching. The analysis results show that the prediction effect based on fuzzy neural inference system is the best. In addition, the three-dimensional display of the prediction data shows that the prediction effect obtained by artificial intelligence shows a strong consistency with the actual evaluation effect.
A Modular Approach to Interprofessional Concussion Education and Assessment for Athletic Training and Nursing Students
Authors: Parke Elizabeth A. , Obermeyer Sarah , Rogers Sean M.
Published: December 2023

Context

Due to the complexity of concussion evaluation and management and the growing demand for interprofessional collaborative practice in health care, the need for interprofessional education (IPE) among professional health care programs has become increasingly important.

Objective

This IPE technique provides athletic training and nursing students with an opportunity to apply knowledge of professional roles and uses collective clinical reasoning to navigate a multifaceted case scenario with a patient who sustained a concussion.

Background

With the emphasis of IPE in professional health care programs, both athletic training and nursing programs accrediting bodies have adopted standards that require the implementation of IPE within the curriculum.

Description of Techniques

This IPE event uses a modular and scaffolding teaching approach to gradually introduce new developments into the patient case in a sequential manner to increase fidelity.

Advantage(s)

By using this approach, students will have the opportunity to meet the objectives for each module before moving on to the next. Additionally, students will develop professional relationships over time within the collaboration of professional groups.

Conclusion(s)

Use of this IPE technique affords athletic training and nursing students the opportunity to develop the professional skills required to engage in interprofessional collaborative practice and improve patient outcomes.
Athletic Trainers’ Experiences Developing and Maintaining Contemporary Expertise
Authors: Strout Kemper Nicole R. , Cavallario Julie M. , Walker Stacy E. , Welch Bacon Cailee E.
Published: December 2023

Context

The Commission on Accreditation of Athletic Training Education (CAATE) implemented new accreditation standards for professional education in 2020, requiring educators and preceptors affiliated with CAATE-accredited professional programs to identify an area of contemporary expertise. Although this requirement is imperative to ensure that educators and preceptors are exposing students to the breadth and depth of content areas in athletic training practice, little is known about how an area of contemporary expertise is developed and maintained.

Objective

To explore educators’ and preceptors’ experiences with developing and maintaining an area of contemporary expertise.

Design

Cross-sectional.

Setting

Web-based survey.

Participants

Of 449 athletic trainers (ATs), 347 (183 educators and 164 preceptors) indicated an identified area of contemporary expertise, completed the survey, and were included in the data analysis.

Data Collection and Analysis

A 16-item survey (10 demographic items, 1 Likert-scale item, and 5 open-ended questions) was used. Descriptive statistics were used to characterize participant demographics and familiarity with contemporary expertise. Data analysis of open-ended responses was guided by a 4-phase, consensual qualitative research process using a 3-person team. An external auditor confirmed data representation and accuracy.

Results

Familiarity with contemporary expertise and its impact on practice was shared, and participants identified various activities and resources accessible for ATs. However, challenges associated with developing and maintaining expertise and conflicts with current certification expectations were also identified.

Conclusions

Program administrators and employers should consider how they can best support the endeavors of educators and preceptors for developing and maintaining areas of contemporary expertise. Program administrators should evaluate programmatic approaches to assist preceptors with maintaining contemporary expertise. Additionally, as educators and preceptors become more familiar with contemporary expertise, the Board of Certification and the CAATE should provide guidance regarding the intent of continuing education, how it relates to contemporary expertise, and how stakeholders can achieve the objectives set forth by regulatory groups.
Nutritional Status, Prevalence of Early Childhood Caries, and its Association among Preschool Children in Northeast India
Authors: Kshetrimayum Nandita , Siluvai Sibyl , Chaudhuri Prabhat Kumar , Longkumar Talisunup , Bennadi Darshana , Lazar Victor Rakesh
Published: December 2023

Background:

Early childhood caries (ECC) is a common public health problem in developing countries. Children with severe decay can also have altered eating habits and preferences. Therefore, ECC can influence nutritional health.

Aim:

The aim is to find the prevalence of ECC and nutritional status and to evaluate its association among preschool children in Northeast India.

Study Design and Data Collection Methods:

This descriptive cross-sectional study was conducted among 384 preschool children aged 2–6 years. The sampling unit comprised the children attending the pediatric dentistry department of one dental college. Information regarding sociodemographic factors, child feeding habits, and child oral hygiene practices was obtained from the parents using a pretested questionnaire. Weight and height were evaluated to assess the nutritional status. The decay, missing, filled teeth index for primary teeth was used to determine the dental caries status.

Results:

The mean value of carious teeth for 384 children aged 2–6 years was 5.6 ± 2.43. Most kids who had caries (74.7%) belonged to the moderate category (dmft >7), followed by the low sort, which was 16.7%, and then by those in the higher class (8.6%). The body mass index (BMI) for age revealed that 5.2% were overweight, 15.1% were thin, and 8.3% were obese. Most of those with high caries (i.e., dmft >7) were underweight or in the normal weight category. Pearson correlation showed no significant correlation between ECC with BMI-for-age (r = 0.04, P > 0.05).

Conclusion:

The prevalence of dental caries among children below the age of 5 years in Imphal was high. The risk factors for ECC included age, low maternal education, improper feeding, and oral hygiene habits. However, the results revealed no significant relationship between ECC and BMI.
Comparative Evaluation of Plasma Fibrinogen Degradation Product and Salivary Fibrin Precipitating Factor in Oral Submucous Fibrosis Patients and Betel Quid Chewers
Authors: Megha B. , Anekar Jayaprasad , Raj AC , Deepika N. , Kumar Krishna Santhosh
Published: December 2023

Aim and Objectives:

Estimation and correlation of plasma fibrinogen degradation product (FDP) and salivary fibrin precipitating factor (FPF) in oral sub mucous fibrosis (OSMF) patients, betel quid chewers without OSMF and healthy individuals. The study aims to evaluate whether FDP and FPF can be used as a marker for development and progression of OSMF and whether there is any correlation between the two.

Methodology:

The study included 163 subjects grouped into three categories, Group 1, which included 54 control patients, Group 2, which included 55 betel quid chewers, and Group 3, which included 54 clinically confirmed OSMF patients. All of them were subjected to the estimation of plasma FDP and salivary FPF.

Results:

FDP was present in 52 (96.3%) patients in Group 3, 2 (3.6%) patients in Group 2, and 1 patient in Group 1 (1.9%). FPF was positive in eight patients. The correlation of FDP and FPF was done by Fisher's exact test and was found to be statistically nonsignificant.

Conclusion:

In the present study, FDP was positive in 52 (96.3%) OSMF patients; hence, FDP may be used as an early indicator of OSMF. FDP was found to be positive in two patients with a habit of chewing betel quid without OSMF. It may be hypothesized that these patients are more likely to develop OSMF. Hence, the estimation of FDP may be used as a diagnostic test to predict an impending OSMF before it could manifest itself clinically. FPF was negative in some OSMF patients, may be because it is below the detectable range.