Sustainable polyethylene fabrics with engineered moisture transport for passive cooling

Polyethylene (PE) has emerged recently as a promising polymer for incorporation in wearable textiles owing to its high infrared transparency and tuneable visible opacity, which allows the human body to cool via thermal radiation, potentially saving energy on building refrigeration. Here, we show that single-material PE fabrics may offer a sustainable, high-performance alternative to conventional textiles, extending beyond radiative cooling. PE fabrics exhibit ultra-light weight, low material cost and recyclability. Industrial materials sustainability (Higg) index calculations predict a low environmental footprint for PE fabrics in the production phase. We engineered PE fibres, yarns and fabrics to achieve efficient water wicking and fast-drying performance which, combined with their excellent stain resistance, offer promise in reducing energy and water consumption as well as the environmental footprint of PE textiles in their use phase. Unlike previously explored nanoporous PE materials, the high-performance PE fabrics in this study are made from fibres melt spun and woven on standard equipment used by the textile industry worldwide and do not require any chemical coatings. We further demonstrate that these PE fibres can be dry coloured during fabrication, resulting in dramatic water savings without masking the PE molecular fingerprints scanned during the automated recycling process

Common Behavioral Clusters and Subcortical Anatomy in Stroke

A long-held view is that stroke causes many distinct neurological syndromes due to damage of specialized cortical and subcortical centers. However, it is unknown if a syndrome-based description is helpful in characterizing behavioral deficits across a large number of patients. We studied a large prospective sample of first-time stroke patients with heterogeneous lesions at 1-2 weeks post-stroke. We measured behavior over multiple domains and lesion anatomy with structural MRI and a probabilistic atlas of white matter pathways. Multivariate methods estimated the percentage of behavioral variance explained by structural damage. A few clusters of behavioral deficits spanning multiple functions explained neurological impairment. Stroke topography was predominantly subcortical, and disconnection of white matter tracts critically contributed to behavioral deficits and their correlation. The locus of damage explained more variance for motor and language than memory or attention deficits. Our findings highlight the need for better models of white matter damage on cognition

Age-Associated Differences in Cognitive Performance in Older Patients With Schizophrenia: A Comparison With Healthy Older Adults

There are varying results regarding the conjoint influence of aging and schizophrenia on cognitive abilities. Previous studies have been limited by restricted age ranges among schizophrenia and psychiatrically healthy control samples as well as small numbers of control participants. To quantify the association between age and cognitive performance in patients with schizophrenia and psychiatrically healthy older adult controls and to determine if age-associated changes in cognitive performance were different in the two groups. People with schizophrenia (n = 226) and psychiatrically healthy individuals (n = 834) ranging in age from 40 to older than 80 years were compared on a battery of neuropsychological tests. To directly compare the impact of age on cognitive performance, age was also regressed on performance in the two samples. The performance of psychiatrically healthy adults age 70 and older was superior to the performance of the youngest patients with schizophrenia (age 40-49) years on measures of working and episodic memory, executive function, and psychomotor speed. Regression analyses indicated that age effects on cognition were significantly greater for schizophrenia patients on measures of verbal learning and speed of processing. Within both the schizophrenia group, and psychiatrically healthy adults, the greatest age-related differences in performance seemed to occur for individuals aged more than 70 years. In this cross-sectional study, the present findings underscore the fact that schizophrenia is associated with cognitive impairment across all ages and that older schizophrenia patients experience relatively greater age associated differences in cognitive functioning than healthy individuals. These findings have wide-ranging implications regarding the ability of older patients with schizophrenia to function independently and for the development of treatment strategies