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This paper draws on 26 in-depth interviews with people living with type 1 diabetes (T1D) to explore how experiences and interpretations of disability redirect and transform reproductive trajectories. I apply Almeling's conceptualization of reproduction as the “biological and social process of having or not having children” as a framework for understanding what occurs at multiple analytical layers (structural and cultural, interactional, self, and body) across the life course and influences how and whether people with disabilities feel having children is something they want or need or is within their reach. Findings reveal the lasting impact of viewing the film Steel Magnolias, pivotal interactions with healthcare providers, and interpretations of embodied T1D experiences as major sources of tension for participants as they reflect on their reproductive trajectories and outlooks. Considering especially the structural and cultural layer, this paper enriches our understanding of disability by demonstrating that both women and men with less noticeable or visible disability are subject to similar social imperatives of risk management and moral reproduction as those with more noticeable physical or sensory disabilities, although gender also matters for how participants experience these imperatives. Findings lend support for viewing reproduction as a lifelong process beyond the sequence from conception to birth, as some significant disability experiences that transform or redirect reproductive trajectories fall outside this timeframe.

This chapter explores how the intersection of disability and family has evolved in the US medical field over the 19th, 20th, and 21st centuries. Through an analysis of the Proceedings of the American Medical Association, this work demonstrates how physicians describe and view the connections between disability and family in bureaucratic activities. The exploration of the Proceedings documents elucidates the changing process around how physicians define the relationship of disability and family in the US through bureaucratic and policy discussions. A qualitative approach of content analysis is employed to evaluate the American Medical Association Proceedings of the House of Delegates from 1846 to 2022. Data collection applies deductive coding focusing on various terms related to the conceptualization of families with analysis exploring themes around disability within the searched terms. Results demonstrate how US physicians describe the relationship between disability and family over time in the US context. The findings highlight cases in which the medical establishment recognizes itself as a potential source of burden, families choosing burdens of supporting or not supporting family members with disabilities, and the medicalization of social phenomena related to disability. Additional findings include discussions of support systems that families with disabled family members can leverage for assistance. This first-of-its-kind longitudinal content analysis study provides insights on the meaning-making processes of physicians in relation to how conceptualizations of disability and family are described in medical proceeding documents. The value of this work lies in both the findings of how physicians describe the intersection of disability and family as well as the viability of medical proceeding documents for analyzing cultural-social phenomena. Additional value is added with the notion that physicians view disability in a familial context as being caught between problems and support.

Knowledge of consumer behavior is important to a corporation's accomplishment. Organizations may change for the better deal with the promotion mix, product administration, and buyer interaction by knowing how the buyer performs and what motivates him. Selecting the influencing elements for consumers is frequently exceedingly challenging to accurately detect because they are inside forces. The COVID-19 pandemic's wide-scale spread has significantly altered peoples' daily lives and purchasing patterns. The Indian government implemented several steps across the nation to limit the fatal disease to slow the spread of COVID-19. Following its initial breakout in China in early 2020, the novel coronavirus pandemic rapidly developed all over the globe, giving an unfavorable influence on the global financial system and industries. During the COVID-19 pandemic, the authors seek to uncover changes in consumer behavior when purchasing everyday items including food, medications, clothing, footwear, and technology. To understand how the current pandemic conditions compare to the aforementioned shock events, we carried out a comprehensive review of the literature with a focus on the presentation of panic buying and pack mentality behavioral patterns and changes to voluntary consumer spending as defined by Maslow's hierarchy of needs.

In today's advanced economy, there is a broader presence of information revolution, such as artificial intelligence (AI). AI primarily drives modern banking, leading to innovative banking channels, services and solutions disruptions. Thus, this chapter intends to determine AI's place in contemporary banking and stock market trading.

Stock market forecasting is hampered by the inherently noisy environments and significant volatility surrounding market trends. There needs to be more research on the mantle of AI in revolutionising banking and stock market trading. Attempting to bridge this gap, the present research study looks at the function of AI in banking and stock market trading.

The researchers have synthesised the literature pool. They undertook a systematic review and meta-synthesis method by identifying the major themes and a systematic literature review aided in the critical analysis, synthesis and mapping of the body of existing material.

The study's conclusions demonstrated the efficacy of AI, which has played a robust role in banking and finance by reducing risk and operational costs, enabling better customer experience, improving regulatory complaints and fraud detection and improving credit and loan decisions. AI has revolutionised stock market trading by forecasting future prices or trends in financial assets, optimising financial portfolios and analysing news or social media comments on the assets or firms.

AI's debut in banking and finance has brought sea changes in banking and stock market trading. AI in the banking industry and capital market can provide timely and apt information to its customers and customise the products as per their requirements.

By examining the impact of the day of the week during the COVID-19 pandemic and the subsequent economic recession, it is possible to provide insights into market behaviour during volatile times that can be furnished to investors and policymakers for informed decisions.

This study investigates the day-of-the-week effect on the Colombo Stock Exchange (CSE), with particular emphasis on the variations in this effect during the COVID-19 pandemic and the subsequent economic crisis.

The study applies the Exponential Generalised Autoregressive Conditional Heteroskedasticity (EGARCH) model, allowing for the evaluation of asymmetric responses to positive and negative shocks. The data span from January 2006 to December 2022 and are segmented into different periods: the entire sample, war and post-war periods, the COVID-19 pandemic and the economic crisis period, each reflecting distinct market conditions.

The study uncovers a significant day-of-the-week effect on the CSE. Mondays and Tuesdays typically show a negative effect, while Thursdays and Fridays display a positive impact. However, this pattern shifts notably during the COVID-19 pandemic, with all weekdays exhibiting significant positive impact, and varies further across different waves of the pandemic. The economic crisis period also shows unique weekday effects, particularly before and after an important political event.

Parents of children with intellectual and developmental disabilities are frequently given news that is difficult to hear and can be very traumatic. Whether receiving an initial diagnosis for their baby or learning about guardianship options for their adult child, emotional reactions almost always occur, especially because of the interdependent relationship they have with their child. These emotions likely impact the meaning parents give to information and decisions they make for their children throughout their lives. Medical, education, and other support providers sometimes assume parents can objectively receive information that frequently is communicated in a technical and clinical way. They may not give parents the time to emotionally process what they have learned, limiting their ability to care for their child. This chapter presents the results from a series of focus groups with 21 parents of children with intellectual and developmental disabilities of varying ages. The participants discussed their emotional reactions to information communicated to them about medical, educational and social concerns related to their children. In addition, they discussed how emotions impacted their information processing and sensemaking as they gave meaning to what they learned. Analysis of the results identified eight emotion-based information processing and sensemaking themes that are described in detail. The discussion section provides an enhanced explanation for emotion's role in parental information processing and sensemaking. In addition, recommendations for providers communicating emotional information to parents are provided.