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The purpose of this chapter is to reconsider the five principles of Elder et al.'s (2003) life course theory while centering disability status as an axis of inequality. We use existing research from the fields of the sociology of disability, disability studies, and aging and the life course to reflect on ways in which each life course principle can better attend to the experiences of disabled people. We start with the principle of time and place and discuss how cohort and period effects facilitate a deeper understanding of disabled people's experiences historically. Next, we analyze the principle of timing with an emphasis on cumulative dis/advantage to establish how disability status is an axis of inequality that contributes to the accumulation of social disadvantage and intersects with other axes of inequality (e.g., race, class, and gender). Then, we discuss the two principles of agency and linked lives and employ the concept of “bounded agency” to describe how ableism limits the agency of disabled people. Finally, we examine the principle of life-span development and discuss how adaptation and resilience are contextual and an ordinary part of human experiences. We conclude by offering recommendations for both life course and disability scholars to consider in hopes of broadening our theoretical and empirical knowledge about the lives of disabled people at every stage of the life course and the mechanisms by which resources are stratified by disability and age.

A third-order discrete time sigma delta modulator (SDM) is proposed with optimum performance by addressing instability and power dissipations issues, and a novel SDM architecture is designed and verified in behavioural modelling in MATLAB/SIMULINK environment. Simulation results show that performance parameters of proposed modulator achieved SNR of 105.41 dB, SNDR of 101.96 dB and DR of 17 bits for the signal bandwidth of 20 kHz.

This paper describes single-loop SDM design with optimum selection of integrator weights for physiological signal processing in IoT applications.

The proposed discrete time modulator designed with 1-bit quantizer and optimum oversampling ratio proved as power efficient. Integrator scaling coefficients are generated in LabVIEW environment for pure third-order noise shaping.

This paper contains the novelty in the work, and it is suitable for cognitive Internet of Things applications.