The impacts of early environmental adversity on cognitive functioning, body mass, and life-history behavioral profiles.

Early adverse experiences or exposures have a profound impact on neurophysiological, cognitive, and somatic development. Evidence across disciplines uncovers adversity-induced alternations in cortical structures, cognitive functions, and related behavioral manifestations, as well as an energetic trade-off between the brain and body. Based on the life history (LH) framework, the present research aims to explore the adversity-adapted cognitive-behavioral mechanism and investigate the relation between cognitive functioning and somatic energy reserve (i.

Environmental risks, life history strategy, and developmental psychology.

In recent decades, life history theory (LHT) has provided an important theoretical framework for understanding human individual differences and their developmental processes. The conceptual complexity and multidisciplinary connections involved in the LH research, however, might appear daunting to psychologists whose research might otherwise benefit from the LH perspective. The main purpose of this review, therefore, is to introduce the evolutionary biological backgrounds and basic principles of LHT as well as their applications in developmental psychology.

Brainstem network connectivity with mid-anterior insula predicts lower systolic blood pressure at rest in older adults with hypertension.

Central regulation of heart rate and blood pressure provides the bases for a neurogenic mechanism of hypertension (HTN). Post menopause (PM) age coincides with changes in resting state functional brain connectivity (rsFC) as well as increased risk for HTN. Whether the neural networks underpinning cardioautonomic control differ between PM women with and without HTN is unclear.

Transistor-Based Work-Function Measurement of Metal-Organic Frameworks for Ultra-Low-Power, Rationally Designed Chemical Sensors.

A classic challenge in chemical sensing is selectivity. Metal-organic frameworks (MOFs) are an exciting class of materials because they can be tuned for selective chemical adsorption. Adsorption events trigger work-function shifts, which can be detected with a chemical-sensitive field-effect transistor (power ≈microwatts).