A Photo-Narrative Intervention for Children With Severe Neurological Impairment in the PICU.

Context: Parents of children with severe neurological impairment (SNI) face barriers in the pediatric intensive care unit (PICU) to humanistic care. Photo-narratives are a promising strategy to share perspectives about well-being.

Objective: This study describes the iterative refinement and lessons learned in adapting a photo-narrative intervention for children with SNI in the PICU.

Water, not carbon, drives drought-constraints on stem terpene defense against simulated bark beetle attack in Pinus edulis.

Drought predisposes forest trees to bark beetle-induced mortality, but the physiological mechanisms remain unclear. While drought-induced water and carbon limitations have been implicated in defensive failure and tree susceptibility, evidence demonstrating how these factors interact is scarce. We withheld water from mature, potted Pinus edulis and subsequently applied a double-stem girdle to inhibit carbohydrate transport from the crown and roots.

Oxenoid Reactivity Enabled by Targeted Photoactivation of Periodate.

The chemistry of low-valent intermediates continues to inspire new modes of reactivity across synthetic chemistry. But while the generation and reactivity of both carbenes and nitrenes are well-established, difficulties in accessing oxene, their oxygen-based congener, has severely hampered its application in synthesis. Here, we report a conceptually novel approach towards oxenoid reactivity through the violet-light photolysis of tetrabutylammonium periodate.

Local carbon reserves are insufficient for phloem terpene induction during drought in Pinus edulis in response to bark beetle-associated fungi.

Stomatal closure during drought inhibits carbon uptake and may reduce a tree's defensive capacity. Limited carbon availability during drought may increase a tree's mortality risk, particularly if drought constrains trees' capacity to rapidly produce defenses during biotic attack. We parameterized a new model of conifer defense using physiological data on carbon reserves and chemical defenses before and after a simulated bark beetle attack in mature Pinus edulis under experimental drought.

Learning algorithms for identification of whisky using portable Raman spectroscopy.

Reliable identification of high-value products such as whisky is vital due to rising issues of brand substitution and quality control in the industry. We have developed a novel framework that can perform whisky analysis directly from raw spectral data with no human intervention by integrating machine learning models with a portable Raman device. We demonstrate that machine learning models can achieve over 99% accuracy in brand or product identification across twenty-eight commercial samples.