rade but future economic shifts could result in large numbers of new invasions as a result of increased trade among previously isolated portions of the world. With changing global flow of goods among world regions, it is crucial that biosecurity efforts keep pace to minimize future invasions and their impacts. This article is protected by copyright. All rights reserved.Large wildfires (>50,000 ha) are becoming increasingly common in semi-arid landscapes of the western United States. Although fuel reduction treatments are used to mitigate potential wildfire effects, they can be overwhelmed in wind-driven wildfire events with extreme fire behavior. We evaluated drivers of fire severity and fuel treatment effectiveness in the 2014 Carlton Complex, a record-setting complex of wildfires in north-central Washington State. Across varied topography, vegetation and distinct fire progressions, we used a combination of simultaneous autoregression (SAR) and random forest (RF) approaches to model drivers of fire severity and evaluated how fuel treatments mitigated fire severity. Predictor variables included fuel treatment type, time since treatment, topographic indices, vegetation and fuels, and weather summarized by progression interval. We found that the two spatial regression methods are generally complementary and are instructive as a combined approach for landscape analyses of fireven under severe fire weather. During wind-driven fire spread progressions, fuel treatments that were located on leeward slopes tended to have lower fire severity than treatments located on windward slopes. As fire and fuels managers evaluate options for increasing landscape resilience to future climate change and wildfires, strategic placement of fuel treatments may be guided by retrospective studies of past large wildfire events. This article is protected by copyright. https://www.selleckchem.com/products/VX-770.html All rights reserved.Multiple factors operating across different spatial and temporal scales affect beta-diversity-the variation in community composition among sites. Disentangling the relative influence of co-occurring ecological drivers over broad biogeographic gradients and time is critical to developing mechanistic understandings of community responses to natural environmental heterogeneity as well as predicting the effects of anthropogenic change. We partitioned taxonomic beta-diversity in phytoplankton communities across 75 north-temperate lakes and reservoirs in Alberta, Canada, using data-driven, spatially-constrained null models to differentiate between spatially-structured, spatially-independent, and spuriously correlated associations with a suite of biologically relevant environmental variables. Beta-diversity was largely independent of space, indicating spatial processes (e.g. dispersal limitation) likely play a minor role in structuring freshwater phytoplankton communities at the regional scale. Our findings also idetion of bloom-forming and/or toxic cyanobacteria more than the overall phytoplankton community, suggesting their heightened importance to integrated watershed management. This article is protected by copyright. All rights reserved.In recent years, there has been a growing recognition of a dissociative subtype of posttraumatic stress disorder (D-PTSD), characterized by experiences of depersonalization (DP) and derealization (DR), among individuals with PTSD. Little is known, however, about how experiences of DP and/or DR are associated with the experience of other PTSD symptoms. The central aim of the present paper was to explore the associations among DP, DR, and other PTSD symptoms by means of a network analysis of cross-sectional data for 557 participants whose overall self-reported PTSD symptom severity warranted a probable PTSD diagnosis. Three notable findings emerged (a) a strong association between DP and DR, (b) the identification of DP as the most central symptom in the network, and (c) the discovery that clusters of symptoms in the network were roughly consistent with DSM-5 PTSD criteria. We discuss these findings in light of some considerations, including the nature of our sample and the limits of interpreting cross-sectional network models. © 2020 The Authors. Journal of Traumatic Stress published by Wiley Periodicals, Inc. on behalf of International Society for Traumatic Stress Studies.Expanding use of immune-checkpoint inhibitors (ICIs) underscores the importance of accurate diagnosis and timely management of neurological immune-related adverse events (irAE-N). We evaluate the real-world frequency, phenotypes, co-occurring immune-related adverse events (irAEs), and long-term outcomes of severe, grade III to V irAE-N at a tertiary care center over 6 years. We analyze how our experience supports published literature and professional society guidelines. We also discuss these data with regard to common clinical scenarios, such as combination therapy, ICI rechallenge and risk of relapse of irAE-N, and corticosteroid taper, which are not specifically addressed by current guidelines and/or have limited data. Recommendations for management and future irAE-N reporting are outlined. ANN NEUROL 2020. © 2020 American Neurological Association.New treatments have transformed multiple myeloma into a chronic disease. Hence, optimal management of treatment and disease-related complications remains a critical component of survivorship care. Survivorship care model in cancers requiring a fixed-duration therapy may not be applicable to myeloma, since patients are exposed to multiple lines of continuous therapy along the disease trajectory. The two most common therapy-related causes of death, which require special consideration, are infection and second cancers. Identifying patients at a high risk of toxicities will facilitate individualized treatment selection and designing clinical trials for protective strategies targeting those patients. For example, prophylactic antibiotic or immunoglobulin replacement can be tested for primary prevention of infections in high-risk patients. Long-term follow up of ongoing trials and epidemiologic data will help identify the nature and trajectory of rare toxicities with a long latency, such as secondary cancers. Patients who are frail, have persistent renal insufficiency, and refractory to multiple lines of therapy need special attention regarding treatment toxicity and quality of life.