Emerging Trends and Future Opportunities for Battery Recycling.

The global lithium-ion battery recycling capacity needs to increase by a factor of 50 in the next decade to meet the projected adoption of electric vehicles. During this expansion of recycling capacity, it is unclear which technologies are most appropriate to reduce costs and environmental impacts. Here, we describe the current and future recycling capacity situation and summarize methods for quantifying costs and environmental impacts of battery recycling methods with a focus on cathode active materials.

Sexual minority stressors and disordered eating behaviors in daily life: a daily diary study of sexual minority cisgender female couples.

Young cisgender sexual minority women (e.g. lesbian, queer) in the U.

Unique bibenzyl cannabinoids in the liverwort Radula marginata: parallels with Cannabis chemistry.

The potential of cannabinoids to address public health challenges has stimulated exploration into alternative sources and production technologies. Radula marginata, an endemic Aotearoa/New Zealand liverwort, produces the bibenzyl cannabinoid perrottetinene (PET), analogous to Cannabis psychoactive tetrahydrocannabinol (THC). Structural differences between PET and THC could alter therapeutic interactions and mitigate adverse side effects.

A dataset exploring urban comfort through novel wearables and environmental surveys.

This study presents a comprehensive dataset capturing indoor environmental parameters, physiological responses, and subjective perceptions across three global cities. Utilizing wearable sensors, including smart eyeglasses, and a modified Cozie app, environmental and physiological data were collected, along with pre-screening, onboarding, and recurring surveys. Peripheral cues facilitated participant engagement with micro-EMA surveys, minimizing disruption over a 5-day collection period.

AI technology to support adaptive functioning in neurodevelopmental conditions in everyday environments: a systematic review.

Supports for adaptive functioning in individuals with neurodevelopmental conditions (NDCs) is of umost importance to long-term outcomes. Artificial intelligence (AI)-assistive technologies has enormous potential to offer efficient, cost-effective, and personalized solutions to address these challenges, particularly in everday environments. This systematic review examines the existing evidence for using AI-assistive technologies to support adaptive functioning in people with NDCs in everyday settings.