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With the rapid improvement in digital infrastructure, the popularity of digital devices and smartphones in every pocket, the yearning to stay connected with others has increased manifold, especially in youngsters. This has raised multiple concerns primarily related to the problematic usage of the internet (PUI). The current research study aims to scrutinize the association between PUI, psychological and mental health (PMH), social media fatigue (SMF), fear of missing out (FOMO), desire to disconnect (DD) and its relation with a novel phenomenon of joy of missing out (JOMO).

The present research study embraces the empirical research method through quantitative analysis. The proposed theoretical model was empirically tested using primary data, collected through a self-designed structured questionnaire. The study sample included individuals between 16 and 39 years of age as these are the most active demographics on social media. The model is empirically tested with the help of structural equation modeling applied using software IBM AMOS 20.0 and SPSS 22.0. Initially, first-order confirmatory factor analysis was conducted, to measure and test the fit indices of the proposed model. Secondly, path analysis using structural equation modeling was carried out for the model.

Empirical synthesis of this research shows that PUI significantly and positively impacts mental and psychological health, FOMO and SMF. Also, SMF significantly and positively affects the DD which significantly and positively affects the JOMO. However, as depicted by the results of this study, FOMO have no considerable impact on SMF.

A study that connects the PUI with PMH, SMF and FOMO is rare to find. Second, this study uses data collected from social media users of India in the age group of 16–39 years. This slice of the population is most active in internet, and internet-enabled platform and are scantly studied, especially in the Indian context. This makes the study more exciting and crucial.

The Diversity Fellows Program (DFP) was an initiative created within a Division for Diversity (DD) in response to imperatives for campus diversity leadership. In the author’s reflection/perceptions, it brought forward a new paradigm for, Bistro University (BU) (pseudonym), as well as expansions in university–community and statewide relations. The DFP employed a multifaceted approach to climate transformation and was a joint development with the highest level of administration and utilized full, tenured, underrepresented, and women faculty to lead initiatives that engaged faculty in research relationships with students, STEM communities, mentoring, and unit accountability for hiring and retention. The result was the creation of several best-practice initiatives, which showcased unsung and/or underutilized student and faculty research as catalysts for recruitment, retention, and promotion, and improved unit accountability for diversification and campus/community relations. The authors assert that the DFP ultimately represented a multipoint approach to climate transformation rooted in relationship building, measurable accountability, and partnership development. This chapter will expound on the creation and impact the DFP had on BU’s diversity agenda and the DD mission. It will also illuminate the author’s perspectives of successes as well as struggles to be expected while setting standards for excellence in academic diversity innovation. Finally, this chapter challenges senior administrators and academics to increase support and reward innovation associated with cultural competence training, multicultural engagement, and best practices for diversity administration.

Low power static‐random access memories (SRAM) has become a critical component in modern VLSI systems. In cells, the bit‐lines are the most power consuming components because of larger power dissipation in driving long bit‐line with large capacitance. The cache write consumes considerable large power due to full voltage swing on the bit‐line. The aim of the paper is to propose a new SRAM cell architecture to reduce the power consumption during write 0 and write 1 operation.

The proposed circuit includes two tail transistors in the pull‐down path of inv‐A and inv‐B. The simulated results of the proposed cell is compared with Conventional 6T SRAM cell and zero‐asymmetric SRAM cell.

The proposed SRAM cell consumes less power than the conventional SRAM cell during write operation. The write access delay is reported to be lower than conventional and ZA SRAMs in the proposed circuit. The read operation is similar to Conventional SRAM cell but due to tail transistors the read access delay and stability is poor in the present circuit which can be improved by careful transistors sizing.

The paper proposes a SRAM cell to reduce the power in write “0” as well as write “1”operation by introducing two tail transistors.

A sizable cohort of youth with autism spectrum disorder (ASD) will transition into adulthood over the next 10 years. Employment participation is an important part of individual economic independence but also of one's ability to contribute to broader civil society in meaningful ways. Yet, to date, the majority of young adults with autism are not successfully entering the workforce. Of particular importance for this “Generation A” will be to establish a sound foundation as they exit their teenage years that includes postsecondary educational pursuits and labor force involvement. Exploring corresponding outcomes of individuals with ASD who recently progressed through these life stages will help inform Generation A and families and educators who support them how to better prepare for the workplace of the future. For this purpose, robust representative data containing refined disability detail, employment and training information, and well-being and support content are necessary. Currently available public survey and administrative microdata that can be used by researchers and practitioners as they delve into these issues are discussed. Additionally, appropriate restricted-access datasets and the process involved in obtaining them are highlighted. After summarizing key resources and noting their advantages, their drawbacks, limitations, and areas for improvement are addressed. Implications of the data available to date to assist educators, family members, and young adults with autism themselves to better navigate the transition from school to work, to successfully secure work, and ultimately economic independence, which is critical to adulthood, are presented.

The purpose of this paper is to present a personal story about the use of statistics to help protect library services at the Library of the Department of Statistics at Bologna University.

This paper describes the statistics used uncritically by the Centralized Library Services of the University, their inadequacy, and greater utility of the data gathered by the Statistics Library together with those of the University of Ferrara.

The data gathered by the Statistics Library and those of the University of Ferrara provided a richer and more valid image of their services and their value to the user community, than the limited, somewhat old‐fashioned and simplistic metrics of the Centralized Library Services.

This successful approach helped change the mind of senior library management at a time of retrenchment. It is hoped that it will inspire others to challenge simplistic snapshots of services and strengthen their cases with more representative data.

This paper aims to demonstrate the importance of a cash flow generating standard for individual financial contract level data and the ability to create such a standard.

The authors analyze the importance for such a standard of software that turns natural language contracts into cash flow generating algorithms; a data dictionary that standardizes contract terms; and access to variables that represent the state of the world (e.g. market risk, counterparty risk, etc.) that affect contractual obligations.

The ability to realize benefits from the use of such a contract level algorithmic standard depends on the following: making the standard’s software open source; fully testing the software to have complete confidence in its accuracy; and enabling the software to use of a wide range of models of various sources of risk (market, credit and behavior risk) to support forward-looking analysis. Such a standard would solve the disconnect that exists in financial firms between the representation of financial contracts for transaction processing and analysis. The ACTUS Financial Research Foundation is building, testing and making available such a standard that represents almost all financial contracts extant in markets.

The adoption of such a standard would reduce the costs of operations of financial firms, provide the computational infrastructure for more effective regulatory oversight, reduce regulatory reporting costs and improve financial market transparency. It would also enable the assessment of systemic risk by directly quantifying the interconnectedness of firms.

This is a new approach to financial analytics that clearly separates the deterministic components of finance, which can be standardized from the stochastic elements that cannot be standardized.

The purpose of this paper is to employ a case study of the Omeka content management system to demonstrate how the adoption and implementation of a metadata standard (in this case, Dublin Core) can result in contrasting rhetorical arguments regarding metadata utility, quality, and reliability. In the Omeka example, the author illustrate a conceptual disconnect in how two metadata stakeholders – standards creators and standards users – operationalize metadata quality. For standards creators such as the Dublin Core community, metadata quality involves implementing a standard properly, according to established usage principles; in contrast, for standards users like Omeka, metadata quality involves mere adoption of the standard, with little consideration of proper usage and accompanying principles.

The paper uses an approach based on rhetorical criticism. The paper aims to establish whether Omeka’s given ends (the position that Omeka claims to take regarding Dublin Core) align with Omeka’s guiding ends (Omeka’s actual argument regarding Dublin Core). To make this assessment, the paper examines both textual evidence (what Omeka says) and material-discursive evidence (what Omeka does).

The evidence shows that, while Omeka appears to argue that adopting the Dublin Core is an integral part of Omeka’s mission, the platform’s lack of support for Dublin Core implementation makes an opposing argument. Ultimately, Omeka argues that the appearance of adopting a standard is more important than its careful implementation.

This study contributes to our understanding of how metadata standards are understood and used in practice. The misalignment between Omeka’s position and the goals of the Dublin Core community suggests that Omeka, and some portion of its users, do not value metadata interoperability and aggregation in the same way that the Dublin Core community does. This indicates that, although certain values regarding standards adoption may be pervasive in the metadata community, these values are not equally shared amongst all stakeholders in a digital library ecosystem. The way that standards creators (Dublin Core) understand what it means to “adopt a standard” is different from the way that standards users (Omeka) understand what it means to “adopt a standard.”

Gives introductory remarks about chapter 1 of this group of 31 papers, from ISEF 1999 Proceedings, in the methodologies for field analysis, in the electromagnetic community. Observes that computer package implementation theory contributes to clarification. Discusses the areas covered by some of the papers ‐ such as artificial intelligence using fuzzy logic. Includes applications such as permanent magnets and looks at eddy current problems. States the finite element method is currently the most popular method used for field computation. Closes by pointing out the amalgam of topics.

The purpose of this paper is to explore the various forms of organizational and team-level actions that were perceived to be helpful or not helpful by employees as they navigate the hybrid work arrangements and how these had an impact on their work behaviors and experiences. This research utilized Bronfenbrenner's ecological systems theory as framework.

The exploratory study used a qualitative approach in gathering data via online survey from a total of 45 Filipino employees working in a hybrid work arrangement for at least three months. The analysis utilized both inductive and deductive methodologies in examining the data. Inductive thematic analysis was used in coding the data based on the participants' responses, while the deductive approach ensured that the themes are aligned with the research questions and reflect the different systems within Bronfenbrenner's EST (1986).

Results surfaced helpful organizational (e.g. provision of work tools, financial assistance, supportive policies and engagement and wellness initiatives) and team level actions (i.e. use of technology-based communication tools, open virtual door policy, effective performance management system, employee care practices and team engagement activities). Actions that were perceived as not helpful include inadequate technological infrastructure, poor communication, insufficient training, punitive policies/practices and leadership issues at the organizational level as well as unresponsive colleagues and ineffective implementation of policies/processes at the level of teams. Employees reported being able to build on savings, becoming more productive and having greater work–life balance amid hybrid work. However, they continue to be challenged by blurred boundaries and inability to disconnect from work similar to when work was done remotely and now with sustaining momentum given the shifts on where they do their work.

The findings of this study may guide programs and initiatives of human resource management practitioners and organizational leaders as they support employees in navigating through hybrid work.

The research expands extant knowledge on practices and experiences in hybrid work (Gifford, 2022). It also contributes to studies on human resource management that are nuanced based on where work is performed (Ng and Stanton, 2023) or with emerging work arrangements.