Data-Driven Evolutionary Design of Multienzyme-like Nanozymes.

Multienzyme-like nanozymes are nanomaterials with multiple enzyme-like activities and are the focus of nanozyme research owing to their ability to facilitate cascaded reactions, leverage synergistic effects, and exhibit environmentally responsive selectivity. However, multienzyme-like nanozymes exhibit varying enzyme-like activities under different conditions, making them difficult to precisely regulate according to the design requirements. Moreover, individual enzyme-like activity in a multienzyme-like activity may accelerate, compete, or antagonize each other, rendering the overall activity a complex interplay of these factors rather than a simple sum of single enzyme-like activity. A theoretically guided strategy is highly desired to accelerate the design of multienzyme-like nanozymes. Herein, nanozyme information was collected from 4159 publications to build a nanozyme database covering element type, element ratio, chemical valence, shape, pH, etc. Based on the clustering correlation coefficients of the nanozyme information, the material features in distinct nanozyme classifications were reorganized to generate compositional factors for multienzyme-like nanozymes. Moreover, advanced methods were developed, including the quantum mechanics/molecular mechanics method for analyzing the surface adsorption and binding energies of substrates, transition states, and products in the reaction pathways, along with machine learning algorithms to identify the optimal reaction pathway, to aid the evolutionary design of multienzyme-like nanozymes. This approach culminated in creating CuMnCo7O12, a highly active multienzyme-like nanozyme. This process is named the genetic-like evolutionary design of nanozymes because it resembles biological genetic evolution in nature and offers a feasible protocol and theoretical foundation for constructing multienzyme-like nanozymes.

A Cross-Sectional Examination of Educational Expectation Among Welfare Users in an Asset Building Program.

The Children's Savings Accounts (CSAs) program, an asset-building intervention, has gained increasing attention for its potential to elevate low-in families' education expectations, college enrollment, and completion. Variations in program enrollment policy can lead to different levels of program participation among vulnerable populations. This paper examines the enrollment policy of one of the oldest CSA programs and explores program participation among a financially vulnerable group-welfare users. While welfare users were 43% less likely to expect their children to attend college, those who enrolled in the CSA program were about two times more likely to expect their children to go to college than welfare users who did not participate in the program. Findings shed light on research and policies that facilitate asset-building efforts among vulnerable populations and encourage visioning CSAs a potential drive for better financial inclusion.

Families' Financial Stress & Well-Being: The Importance of the Economy and Economic Environments.

The Great Recession and the unfolding COVID-19 Pandemic Recession-two major disruptions to the economy that occurred just one decade apart-unequivocally confirm the importance of the economy and economic environments for understanding families' financial stress and well-being. However, recent published literature places too little emphasis on the economy and economic environments and instead focuses on explanations rooted within individuals and families. In this article, we review research on families' financial stress and well-being published in JFEI between 2010 and 2019, which analyzed data collected during the Great Recession and were subsequently published in the shadow of the economic downturn. We discuss the economy and economic environments as gaps in the literature and encourage future research to focus on these explanations of stress and well-being, especially in response to the pandemic recession.

Burden among male Alzheimer's caregivers: effects of distinct coping strategies.

Focusing on the understudied, increasing population of male Alzheimer's disease (AD) caregivers, the purpose of this study was to identify their likelihood of utilizing 3 coping strategies (task focused, emotion focused, and avoidance focused) and to examine the effects of each coping strategy on caregiving burden. Data were collected from 138 male AD caregivers in southern United States, including geographically proportional representation of African Americans in the sample. Stepwise regression revealed effects of each coping strategy on caregiving burden, controlling for demographics. The sample reported high burden. Task focused was the highest reported coping strategy. Yet, regression models indicated no significant effect of task-focused coping on burden outcomes. Emotion-focused and avoidance-focused coping each showed significant proportional effects on burden. Implications suggest that emotion- and avoidance-focused coping among male AD caregivers may be maladaptive, that is, reinforcing burden. Male AD caregivers may benefit from more task-focused coping, such as planning and active problem solving.