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Pervasive analytics act as a prominent role in computer-aided prediction of non-communicating diseases. In the early stage, arrhythmia diagnosis detection helps prevent the cause of death suddenly owing to heart failure or heart stroke. The arrhythmia scope can be identified by electrocardiogram (ECG) report.

The ECG report has been used extensively by several clinical experts. However, diagnosis accuracy has been dependent on clinical experience. For the prediction methods of computer-aided heart disease, both accuracy and sensitivity metrics play a remarkable part. Hence, the existing research contributions have optimized the machine-learning approaches to have a great significance in computer-aided methods, which perform predictive analysis of arrhythmia detection.

In reference to this, this paper determined a regression heuristics by tridimensional optimum features of ECG reports to perform pervasive analytics for computer-aided arrhythmia prediction. The intent of these reports is arrhythmia detection. From an empirical outcome, it has been envisioned that the project model of this contribution is more optimal and added a more advantage when compared to existing or contemporary approaches.

In reference to this, this paper determined a regression heuristics by tridimensional optimum features of ECG reports to perform pervasive analytics for computer-aided arrhythmia prediction. The intent of these reports is arrhythmia detection. From an empirical outcome, it has been envisioned that the project model of this contribution is more optimal and added a more advantage when compared to existing or contemporary approaches.

This chapter introduces the tenets of international student critical race theory (IntlCrit) by expanding the critical race methodology to better account for the racialized experiences of international students of color (SOC) in higher education. IntlCrit emphasizes recognizing international SOC as a racialized student body and acknowledges international students' different racial contexts and experiences in their home countries beyond the US dominant monolithic paradigm of racism (Black and White). IntlCrit provides a conceptual foundation for scholarly discourse on race and racism by offering a set of tailored tenets while utilizing tenets of critical race theory (CRT). The tailored tenets can further advance critical analyses to examine developmental processes of racial “othering” and understand the ways that racism affects international SOC in the internationalization of higher education. The IntlCrit tenets include: recognizing and humanizing international SOC as a racial body; evolving international students' eyes (racial identity development); acknowledging intersectional and transnational identities; using an expansive and inclusive historical approach; centering race and racism on international students' experiential knowledge; challenging notions of color-evasiveness and meritocracy in the internationalization of higher education; and committing to global justice. While IntlCrit tenets are focused on addressing the contexts of international students, the framework provides critical perspectives that can be useful in understanding the experiences of different international student groups by nationality or region. Indeed, it can contribute to more extensive discussions regarding how racism functions globally and in the United States. Lastly, it is important to note that the IntlCrit tenets are not definitive or permanent but are a meaningful initiative that challenges inequities and inequalities toward international students' racial experience. I hope the IntlCrit perspectives contribute to including race and racism in international education scholarship and enhancing the policies and practices in diversity, equity, and inclusion to embrace the global, multicultural, and multi-ethnic/racial contexts.

Refractory materials are now used in all major industries that demand high-temperature resistance, including petrochemicals, steel, cement and aviation. Businesses must decrease operating costs, enhance product technology, sell well and manage corporate risks in decision-making, notably supplier selection, to be more competitive. The study aims to determine the key criteria and factors of supplier selection and to evaluate the importance of the key factor of the supplier selection criteria for the refractory materials manufacturers in Taiwan.

Analytical hierarchy process (AHP) is used to rank these factors for the decision maker. The AHP method is suitable for verifying refractory supplier selection criteria and providing references. The weighted loss scores for each supplier are then determined using the relative importance as the weights. Supplier selection criteria are ranked using their aggregate weighted loss scores. The provider with the lowest loss score should be chosen.

Product quality is the most significant of the five criteria: product quality, production technology, logistics capacity, service capability and supplier background. Professionalism is the most significant aspect of product quality, whereas equipment and capacity are vital in manufacturing techniques. The studies also show that the delivery rate is essential for logistics and service capabilities.

This research has important implications for refractory suppliers in promptly fine-tuning the production and service to enhance customer satisfaction, which is key to business sustainability.

The application of an AHP technique to a real-world industrial issue is what makes this research unique. This research addressed one of the most critical topics in supply chain operations by offering better judgement for supplier selection via the use of suitable quantitative methodologies.

Childbearing via in vitro fertilization (IVF) was taboo for a long time in the Philippines despite being available in the Philippines since 1996 and the signing of the Republic Health Law back in 2013 (Dupont, 2013). In this chapter, the author examines how IVF is imagined, presented, and accepted in the Philippine context by looking at selected case studies of Filipino influencers who opted to bear children via IVF. The author explores these through analyses of selected YouTube videos and Facebook posts through the lens of visibility labor which refers to the activities done by influencers to “the work enacted to flexibly demonstrate gradients of self-conspicuousness in digital or physical spaces depending on intention or circumstance for favourable ends” (Abidin, 2016). The author also examines the comments sections of these selected videos and posts through web scraping to get a glimpse of the reception to the journeys and struggles of these public figures. The author argues that through the visibility labor of influencers, the phenomenon of childbearing via IVF is not only promoted as a viable, if not acceptable procreative process, but also perpetuated as an in/accessible procedure in the Philippines.

Many European businesses are small and medium enterprises (SMEs), contributing significantly to the well-being of local economies and regions. Even so, SMEs face many challenges in fostering innovation and improving performance. Furthermore, the raw material consumption is increasing globally, necessitating the development of strategies that will reduce the number of raw materials extracted and imported while improving the sustainability of small and medium-sized businesses. Consequently, promoting circular economy (CE) strategies, such as industrial symbiosis (IS) partnerships, whereby waste products from other industries serve as a source of raw materials for companies, is critical. Identifying and analysing enablers or drivers that support IS collaborations among SMEs is necessary to achieve this goal. In this regard, the purpose of this study will explore the enablers of IS among SMEs considering sustainability dimensions (environmental, social and economic). As facing a decision-making (DM) problem, the multiple attribute decision-making (MADM) approach was applied in a hesitant fuzzy (HF) environment in this research to answer the research questions. In this regard, in phase 1, IS enablers were identified and extracted using a literature review and experts’ opinions. In phase 2, the hesitant fuzzy Delphi (HFD) method was implemented to screen and finalise the enablers identified. In phase 3, casual relations among final enablers were determined using the hesitant fuzzy ANP (HF-ANP) method. Finally, in phase 4, the relative importance of enablers was calculated using the hesitant fuzzy best–worst method (HF-BWM). Consequently, this study provided potential strategies for IS that can be implemented quickly and used by local authorities to support SMEs in achieving circular waste management.

In the context of Saudi Arabia, this chapter investigates how clustering promotes knowledge sharing and transfer in an emerging, government-directed industry cluster. It is determined that lateral actors play a key facilitating role, and formal and informal mechanisms and interpersonal links among actors support that cluster knowledge exchange. Limited social capital strength and depth and a lack of trust that prevents knowledge sharing are partially explained by the cluster's limited vertical and horizontal actors.

This study investigates the motivation among customers to be more loyal to online food delivery applications (OFDA) services even after the COVID-19 epidemic by using perceived service quality aspects in Sri Lanka. The data were gathered by physically distributing a self-administrated questionnaire to clients in Sri Lanka who continue to use OFDA services on platform to customer (P2C) service delivery platforms to buy food despite the COVID-19 outbreak. Multiple regression is employed to analyse 287 effective observations, and the data revealed the significant positive effect of interaction, environment, outcome, and food qualities on customer loyalty to OFDA services. In fact, there is no impact from the delivery quality on customer loyalty to OFDA services due to outsourced food delivery. The findings suggest regular improvements in attributes such as interaction, environment, outcome, and food qualities in this hyper-competitive business environment. Further, this study sets substantial facts for the interested parties to establish an exemplary delivery system and other technological advancements to have a sustainable competitive advantage and solid customer base in the long run.

Dementia is characterized by the progressive decline in cognitive and daily functioning. Although the decline is often the defining characteristic of dementia in biomedical models, several scholars highlight the preserved skills of persons with dementia. Identity, or a sense of self, is among the areas relatively preserved in the later stages of dementia. It is the window through which caregivers understand the subjective experiences of persons with dementia.

This qualitative exploratory study highlights the value of social relationships, particularly the role of the Filipino family in recognizing personhood and maintaining identity in dementia care. Preserving identity entails understanding the person’s unique characteristics that reflect one’s sense of self. In a highly collectivistic culture, such as the Philippines, the family is crucial to preserving identity and overall well-being in dementia. This study explores the perspectives of 15 Filipino caregivers as regards caring for a family member with dementia. Participants discuss changes in family structure and the challenges in dementia care. More importantly, they delve into strategies used to preserve identity and encourage life participation in their loved one with dementia. Essential Filipino cultural values in dementia care, such as collectivism, religion, and the values of filial piety and utang na loob (or debt of gratitude) are further discussed.

Barriers to adequate healthcare in rural areas remain a grand challenge for local healthcare systems. In addition to patients' travel burdens, lack of health insurance, and lower health literacy, rural healthcare systems also experience significant resource shortages, as well as issues with recruitment and retention of healthcare providers, particularly specialists. These factors combined result in complex change management-focused challenges for rural healthcare systems. Change management initiatives are often resource intensive, and in rural health organizations already strapped for resources, it may be particularly risky to embark on change initiatives. One way to address these change management concerns is by leveraging socio-technical simulation models to estimate techno-economic feasibility (e.g., is it technologically feasible, and is it economical?) as well as socio-utility feasibility (e.g., how will the changes be utilized?). We present a framework for how healthcare systems can integrate modeling and simulation techniques from systems engineering into a change management process. Modeling and simulation are particularly useful for investigating the amount of uncertainty about potential outcomes, guiding decision-making that considers different scenarios, and validating theories to determine if they accurately reflect real-life processes. The results of these simulations can be integrated into critical change management recommendations related to developing readiness for change and addressing resistance to change. As part of our integration, we present a case study showcasing how simulation modeling has been used to determine feasibility and potential resistance to change considerations for implementing a mobile radiation oncology unit. Recommendations and implications are discussed.

This study aims to explore the role of the linguistic style used in the brand-posted social media content on consumer engagement in the Fintech domain.

A total of 3,286 tweets (registering nearly 1.35 million impressions) published by 10 leading Fintech unicorns in India were extracted using the Twitter API. The Linguistic Inquiry and Word Count (LIWC) dictionary was used to analyse the linguistic characteristics of the shared tweets. Negative Binomial Regression (NBR) was used for testing the hypotheses.

This study finds that using drive words and cognitive language increases consumer engagement with Fintech messages via the central route of information processing. Further, affective words and conversational language drive consumer engagement through the peripheral route of information processing.

The study extends the literature on brand engagement by unveiling the effect of linguistic features used to design social media messages.

The study provides guidance to social media marketers of Fintech brands regarding what content strategies best enhance consumer engagement. The linguistic style to improve online consumer engagement (OCE) is detailed.

The study’s findings contribute to the growing stream of Fintech literature by exploring the role of linguistic style on consumer engagement in social media communication. The study’s findings indicate the relevance of the dual processing mechanism of elaboration likelihood model (ELM) as an explanatory theory for evaluating consumer engagement with messages posted by Fintech brands.