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The idea that some abilities might be enhanced by adversity is gaining traction. Adaptation-based approaches have uncovered a few specific abilities enhanced by particular adversity exposures. Yet, for a field to grow, we must not dig too deep, too soon. In this paper, we complement confirmatory research with principled exploration. We draw on two insights from adaptation-based research: 1) enhanced performance manifests within individuals, and 2) reduced and enhanced performance can co-occur. Although commonly assumed, performance differences are rarely tested. To quantify them, we need a wide variety of ability measures. However, rather than using adaptive logic to predict which abilities are enhanced or reduced, we develop statistical criteria to identify three data patterns: reduced, enhanced, and intact performance. With these criteria, we analyzed data from the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development to investigate how adversity shapes within-person performance across 10 abilities in a cognitive and achievement battery. Our goals are to document adversity-shaped cognitive performance patterns, identify drivers of reduced performance, identify sets of "intact" abilities, and discover new enhanced abilities. We believe principled exploration with clear criteria can help break new theoretical and empirical ground, remap old territory, and advance theory development.
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http://dx.doi.org/10.1017/S0954579424001433 | DOI Listing |
ACS Appl Bio Mater
September 2025
School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, China.
The generation of reactive oxygen species (ROS) through nanozyme-mediated sonocatalytic therapy has demonstrated remarkable therapeutic efficacy in the field of cancer. Nevertheless, it remains a significant challenge for nanozymes with a single catalytic active center to generate sufficient ROS via Fenton or Fenton-like reactions to effectively induce tumor cell death. In order to enhance the catalytic efficacy, we devised and synthesized a multiple active centre and mitochondrial-targeted perovskite nanozyme (NCFP), doped with cobalt (Co) element, and incorporated 4-carboxybutyltriphenylphosphonium bromide (TPP) as a mitochondrial targeting marker for ultrasound (US)-assisted enzyme-like catalytic treatment of tumors.
View Article and Find Full Text PDFJMIR Rehabil Assist Technol
September 2025
Department of Computer Science, Faculty of Technology, Art and Design, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Background: Over the past decade, the proportion of the world's population aged ≥65 years has grown exponentially, presenting significant challenges, such as social isolation and loneliness among this population. Assistive technologies have shown potential in enhancing the quality of life for older adults by improving their physical, cognitive, and communication abilities. Research has shown that smart televisions are user-friendly and commonly used among older adults.
View Article and Find Full Text PDFPLoS One
September 2025
Hunan Mingxiang Aviation Technology Co., Ltd., Changsha, Hunan, China.
Flexible spacecraft possess the ability to adapt to complex environments and use energy more efficiently, offering enhanced flexibility and stability in space missions, particularly in tasks with significant external disturbances such as deep space exploration and satellite attitude control. However, vibration suppression in flexible spacecraft remains a critical challenge. This study addresses the problem of vibration suppression in flexible spacecraft systems under external disturbances and input constraints.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Computer Science, Osun State University, Osogbo, Nigeria.
Probabilistic Random Forest is an extension of the traditional Random Forest machine learning algorithm that is one of the frequently used machine learning algorithms employed for species distribution modeling. However, with the use of complex dataset for predicting the presence or absence of the species, It is essential that feature extraction is important to generate optimal prediction that can affect the model accuracy and AUC score of the model simulation. In this paper, we integrated the Genetic Algorithm Optimization technique, which is popular for its excellent feature extraction technique, to enhance the predictive performance of the PRF Model.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Life and Environmental Sciences, Polytechnic University of Marche, Ancona, Italy.
Microfibers are pollutants of increasing concern, as they accumulate in aquatic environments and pose risks to living organisms. Once released, they undergo degradation processes that reduce their size and enhance their ability to interact with biological systems. Among these processes, photodegradation is a key driver, leading to fiber fragmentation and structural shrinkage.
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