Forest Fire Effects on Snow Storage and Melt Across Scales of Forest Recovery in the Western Oregon Cascades

Snow is the largest component of water storage in the western United States, it serves as a key moisture source for forested ecosystems and is fundamentally linked to streamflow and nutrient cycling. Snow is vulnerable to climatic warming, and a key consequence of declining mountain snowpack is the escalation in wildfire frequency, extent, intensity, and duration across the seasonal snow zone. Fire modifies the spatial extent of snow in watersheds, reducing snow water storage and timing of melt across burned forests. Forested mountain ecosystems and water supplies are facing shifts in their structure, function, and succession. Previous research has focused on short-term forest fire effects on snow hydrology. However, no previous study has empirically investigated the recovery of forest fire effects on snow-storage and melt over decades following fire. With the intensity and frequency of forest fires increasing and snowpack declining in the western United States, a common question is how to reduce forest fire risk while increasing watersheds efficiency at generating water supplies? Here we present a potential answer to such a question, where snowpack observations taken from the western Oregon Cascades illustrate that over decades following fire, snow in burned forests store more snow volume and delay melt timing for similar to an open area. We evaluate the long-term recovery of forest fire effects on snow accumulation and melt. We combined in-situ point based measurements, continuous time-lapse photography within three burned forests, and a remote sensing and multivariate analysis of basin scale forest fire effects on snow cover in the western Oregon Cascades. We found that forest fires increase snow accumulation and eventually delay snowmelt around 10 days later 10 years following fire compared to immediately following fire Decades following forest fire, burned forests may retain more snow longer in spring and result in long term benefits for water resources. Allowing forest fire to burn in snow dominated headwaters may increase snow storage for water resources management

Sibling Relationship Quality: Associations with Marital and Coparenting Subsystems

Marital relationships play an important role in family functioning and in the development of sibling relationships. From a family systems perspective, other subsystems within the family, such as coparenting interactions, could explain the effects of the marital relationship on sibling bonds. Specifically, the quality of the coparenting relationship may mediate the association between marital functioning and sibling relationship quality. The current study examined relationships between these three subsystems (marital, coparenting, and sibling) as self-reported by mothers, fathers, and children with siblings. As part of a larger project, families with a child aged 8 to 11 and at least one sibling (N = 75) completed the Dyadic Adjustment Scale and the Coparenting Scale (both completed by mother and father), as well as the Sibling Relationship Questionnaire (completed by target child). Results suggested that marital functioning is a significant predictor of functioning within the coparenting relationship. Predicted associations did not emerge between sibling relationship quality and marital or coparenting relationships, with minor exceptions, and the coparenting relationship did not mediate the association between marital and sibling relationship quality. Implications of the current findings and suggestions for future research are discussed

Implementation of a non-emergent medical transportation programme at an integrated health system

OBJECTIVES: To implement a unified non-emergency medical transportation (NEMT) service across a large integrated healthcare delivery network. METHODS: We assessed needs among key organisational stakeholders, then reviewed proposals. We selected a single NEMT vendor best aligned with organisational priorities and implemented this solution system-wide. RESULTS: Our vendor\u27s hybrid approach combined rideshares with contracted vehicles able to serve patients with equipment and other needs. After 6195 rides in the first year, we observed shorter wait times and lower costs compared with our prior state. DISCUSSION: Essential lessons included (1) understanding user and patient needs, (2) obtaining complete, accurate and comprehensive baseline data and (3) adapting existing workflows-rather than designing de novo-whenever possible. CONCLUSIONS: Our implementation of a single-vendor NEMT solution validates the need for NEMT at large healthcare organisations, geographical challenges to establishing NEMT organisation-wide, and the importance of baseline data and stakeholder engagement

Mycobacterium tuberculosis releases an antacid that remodels phagosomes

International audienc

Parent-adolescent Attachment, Bullying and Victimization, and Mental Health Outcomes

Traditional and cyber bullying have been identified as universal problematic issues facing adolescents, and research is needed to understand correlates associated with these phenomena. Structural equation modeling analyses examined associations between attachment to parents, traditional and cyber bullying or victimization, and mental health outcomes among 257 high school students (Average age 15.9 years). Key patterns emerged, including associations between maternal attachment and mental health outcomes; victimization and mental health concerns; and bullying and victimization in both traditional and cyber contexts. The role of attachment to mothers and fathers varied by context. Findings extend the literature by identifying risk factors in adolescence associated with bullying and victimization, as well as suggesting appropriate prevention and intervention strategies to increase adolescent well-being

Is there a non-invasive biomarker for the early detection of ovarian torsion? A systematic review and meta-analysis

<p>We have performed a systematic review and meta-analysis and identified multiple biomarkers that warrant further study as part of a broader diagnostic panel for ovarian torsion. These include SCUBE1, s-DD, IL-6, IMA and TNF-a. </p&gt

Single-cell analyses identify circulating anti-tumor CD8 T cells and markers for their enrichment.

The ability to monitor anti-tumor CD8+ T cell responses in the blood has tremendous therapeutic potential. Here, we used paired single-cell RNA and TCR sequencing to detect and characterize "tumor-matching" (TM) CD8+ T cells in the blood of mice with MC38 tumors or melanoma patients using the TCR as a molecular barcode. TM cells showed increased activation compared with nonmatching T cells in blood and were less exhausted than matching cells in tumors. Importantly, PD-1, which has been used to identify putative circulating anti-tumor CD8+ T cells, showed poor sensitivity for identifying TM cells. By leveraging the transcriptome, we identified candidate cell surface markers for TM cells in mice and patients and validated NKG2D, CD39, and CX3CR1 in mice. These data show that the TCR can be used to identify tumor-relevant cells for characterization, reveal unique transcriptional properties of TM cells, and develop marker panels for tracking and analysis of these cells

Single-cell analyses identify circulating anti-tumor CD8 T cells and markers for their enrichment.

The ability to monitor anti-tumor CD8+ T cell responses in the blood has tremendous therapeutic potential. Here, we used paired single-cell RNA and TCR sequencing to detect and characterize "tumor-matching" (TM) CD8+ T cells in the blood of mice with MC38 tumors or melanoma patients using the TCR as a molecular barcode. TM cells showed increased activation compared with nonmatching T cells in blood and were less exhausted than matching cells in tumors. Importantly, PD-1, which has been used to identify putative circulating anti-tumor CD8+ T cells, showed poor sensitivity for identifying TM cells. By leveraging the transcriptome, we identified candidate cell surface markers for TM cells in mice and patients and validated NKG2D, CD39, and CX3CR1 in mice. These data show that the TCR can be used to identify tumor-relevant cells for characterization, reveal unique transcriptional properties of TM cells, and develop marker panels for tracking and analysis of these cells