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A new research domain known as the Quantified Self has recently emerged and is described as gaining self-knowledge through using wearable technology to acquire information on self-monitoring activities and physical health related problems. However, very little is known about the impact of time window models on discovering self-quantified patterns that can yield new self-knowledge insights. This paper aims to discover the self-quantified patterns using multi-time window models.

This paper proposes a multi-time window analytical workflow developed to support the streaming k-means clustering algorithm, based on an online/offline approach that combines both sliding and damped time window models. An intervention experiment with 15 participants is used to gather Fitbit data logs and implement the proposed analytical workflow.

The clustering results reveal the impact of a time window model has on exploring the evolution of micro-clusters and the labelling of macro-clusters to accurately explain regular and irregular individual physical behaviour.

The preliminary results demonstrate the impact they have on finding meaningful patterns.

This case details the rise of a hard-disk storage manufacturer in the mid-1980s and the company's demise after executives manipulated the financial information.

Disillusionment among novice teachers often sets in upon entering the teaching profession. Unfortunately, this disillusionment often leads to novice teachers leaving the profession at high rates, with underserved schools more adversely impacted by their departure. This chapter explores the sources of burnout via the lived experiences of three novice teachers and the impact that burnout had on their intent to remain in the profession. The “reality shock” teachers experience will be exposed through teachers' personal stories while examining the sources of support and strength teachers sought from both within their learning community and beyond, and how those served as a means to survive the novice years.

Purpose – Differential racialization experiences influence ethnic and racial self-identification. This research assesses how ethnic self-identification colors perceptions perceived discrimination and how this in turn influences adolescent depressive symptomatology.

Methodology/Approach – We use the second wave of the Children of Immigrants Longitudinal Study (CILS) to examine the children of Caribbean immigrants. This research uses descriptive statistics, bivariate, and multivariate analyses to test hypotheses. The primary statistical method used is linear regression with OLS estimators.

Findings – Variations in the depression score exist among the racial/ethnic groups, with those identifying as non-black Antillean experiencing greater depression than the other three groups, and those identifying as white Cuban experiencing the lowest depression levels. The findings also show that some of this association is due to perceived discrimination.

Research Limitations/Implications – Future research should examine the association between discrimination and mental health longitudinally. We did not explore this option due to the lack of availability of relevant variables across multiple waves of the study.

Originality/Value of Paper – The results have implications for better understanding the second generation and elucidate how race and ethnicity shape adolescent perceptions of discrimination, and how these perceptions, in turn, are associated with mental health.

Purpose: To explore how families respond to the death and dying of their loved ones in a hospital setting, archival research was conducted using eight qualitative articles describing next-of-kins’ perceptions of end-of-life care in Veterans Affairs Medical Centers (VAMCs). The articles were based on the qualitative arm of the VA Health Services Research and Development (HSR&D) study entitled, “Best Practices for End-of-life Care and Comfort Care Order Sets for our Nation’s Veterans” (BEACON).

Design: The archival research consisted of an interactive methodological process of data immersion, analysis, and interpretation which resulted in the emergence of two overarching thematic frameworks called “losing control” and “holding on.”

Findings: “Losing control” is the process that occurs when the patient experiences a cascading sequence of deleterious biological events and situations rendering the caregiver no longer able to direct the timing or setting of the dying trajectory. The notion of “holding on” captures family member’s responses to the need to maintain control after relinquishing the patient’s care to the institutional setting. During the patient’s hospitalization, the dual dynamics of “losing control” and “holding on” unfolded in the spatial, temporal, and life narrative domains.

Originality: The findings not only contribute to better overall understanding of family members’ responses to death in the pre-COVID-19 hospital setting but also heighten the awareness of the complex spatial, temporal, and narrative issues faced by family members who lost a hospitalized loved one during the COVID-19 pandemic.

The management of children′s literature is a search for value and suitability. Effective policies in library and educational work are based firmly on knowledge of materials, and on the bibliographical and critical frame within which the materials appear and might best be selected. Boundaries, like those between quality and popular books, and between children′s and adult materials, present important challenges for selection, and implicit in this process are professional acumen and judgement. Yet also there are attitudes and systems of values, which can powerfully influence selection on grounds of morality and good taste. To guard against undue subjectivity, the knowledge frame should acknowledge the relevance of social and experiential context for all reading materials, how readers think as well as how they read, and what explicit and implicit agendas the authors have. The good professional takes all these factors on board.