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Knowledge about the demographic and environmental factors underlying population dynamics is fundamental to designing effective conservation measures to recover depleted wildlife populations. However, sparse monitoring data or persistent knowledge gaps about threats make it difficult to identify the drivers of population dynamics. In situations where small, declining, or depleted populations show continued evidence of decline for unknown reasons, integrated population models can make efficient use of available data to improve our understanding of demography, provide fundamental insights into factors that may be limiting recovery, and support conservation decisions. We used mark‐resight and aerial survey data from 2004 to 2018 to build a Bayesian integrated population model for the Cook Inlet population of beluga whales (Delphinapterus leucas), which is listed as endangered under the U.S. Endangered Species Act. We examined the effects of prey availability and oceanographic conditions on beluga vital rates and conducted a population viability analysis to predict extinction risk across a range of hypothetical changes in beluga survival and reproduction. Our results indicated that while the survival of breeding females (0.97; 95% CI: 0.95–0.99) and young calves (0.92; 0.80–0.98) was relatively high, the survival of nonbreeders (0.94; 0.91–0.97) and fecundity (0.28; 0.22–0.36) may be depressed. Furthermore, our analysis indicates that the population will likely continue to decline, with a 17–32% probability of extinction in 150 years. Our model highlights the utility of integrated population modeling for maximizing the usefulness of available data and identifying factors contributing to the failure of protected populations to recover. This framework can be used to evaluate proposed conservation and recovery efforts for this and other endangered species. [ABSTRACT FROM AUTHOR]

Shamini Jain,1 Courtney Boyd,2 Lavinia Fiorentino,1 Raheleh Khorsan,3 Cindy Crawford2 1Department of Psychiatry, University of California San Diego, San Diego, CA, USA; 2Samueli Institute, Alexandria, VA, USA; 3Samueli Institute, Corona Del Mar, CA, USA Purpose: While fatigue, sleep disturbance, and depression often co-occur in breast cancer patients, treatment efficacy for this symptom cluster is unknown. A systematic review was conducted to determine whether there are specific interventions (ie, medical, pharmacological, behavioral, psychological, and complementary medicine approaches) that are effective in mitigating the fatigue–sleep disturbance–depression symptom cluster in breast cancer patients, using the Rapid Evidence Assessment of the Literature (REAL©) process. Methods: Peer-reviewed literature was searched across multiple databases; from database inception – October 2011, using keywords pre-identified to capture randomized controlled trials (RCT) relevant to the research question. Methodological bias was assessed using the Scottish Intercollegiate Guidelines Network (SIGN) 50 checklist. Confidence in the estimate of effect and assessment of safety were also evaluated across the categories of included interventions via the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) methodology. Results: The initial search yielded 531 citations, of which 41 met the inclusion criteria. Of these, twelve RCTs reported on all three symptoms, and eight of these were able to be included in the GRADE analysis. The remaining 29 RCTs reported on two symptoms. Studies were of mixed quality and many were underpowered. Overall, results suggest that there is: 1) promising evidence for the effectiveness of various treatment types in mitigating sleep disturbance in breast cancer patients; 2) mixed evidence for fatigue; 3) little evidence for treating depression; and 4) no clear evidence that treatment of one symptom results in effective treatment for other symptoms. Conclusion: More high-quality studies are needed to determine the impact of varied treatments in mitigating the fatigue–sleep disturbance–depression symptom cluster in breast cancer patients. Furthermore, we encourage future studies to examine the psychometric and clinical validity of the hypothesized relationship between the symptoms in the fatigue–sleep disturbance–depression symptom cluster. Keywords: fatigue, sleep disturbance, depression, symptom cluster, breast cancer, Rapid Evidence Assessment of the Literature

There is a pressing need to understand the factors that predict prognosis in progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS), with high heterogeneity over the poor average survival. We test the hypothesis that the magnitude and distribution of connectivity changes in PSP and CBS predict the rate of progression and survival time, using datasets from the Cambridge Centre for Parkinson‐plus and the UK National PSP Research Network (PROSPECT‐MR). Resting‐state functional MRI images were available from 146 participants with PSP, 82 participants with CBS, and 90 healthy controls. Large‐scale networks were identified through independent component analyses, with correlations taken between component time series. Independent component analysis was also used to select between‐network connectivity components to compare with baseline clinical severity, longitudinal rate of change in severity, and survival. Transdiagnostic survival predictors were identified using partial least squares regression for Cox models, with connectivity compared to patients' demographics, structural imaging, and clinical scores using five‐fold cross‐validation. In PSP and CBS, between‐network connectivity components were identified that differed from controls, were associated with disease severity, and were related to survival and rate of change in clinical severity. A transdiagnostic component predicted survival beyond demographic and motion metrics but with lower accuracy than an optimal model that included the clinical and structural imaging measures. Cortical atrophy enhanced the connectivity changes that were most predictive of survival. Between‐network connectivity is associated with variability in prognosis in PSP and CBS but does not improve predictive accuracy beyond clinical and structural imaging metrics. [ABSTRACT FROM AUTHOR]

Introduction: We tested whether changes in functional networks predict cognitive decline and conversion from the presymptomatic prodrome to symptomatic disease in familial frontotemporal dementia (FTD). Methods: For hypothesis generation, 36 participants with behavioral variant FTD (bvFTD) and 34 controls were recruited from one site. For hypothesis testing, we studied 198 symptomatic FTD mutation carriers, 341 presymptomatic mutation carriers, and 329 family members without mutations. We compared functional network dynamics between groups, with clinical severity and with longitudinal clinical progression. Results: We identified a characteristic pattern of dynamic network changes in FTD, which correlated with neuropsychological impairment. Among presymptomatic mutation carriers, this pattern of network dynamics was found to a greater extent in those who subsequently converted to the symptomatic phase. Baseline network dynamic changes predicted future cognitive decline in symptomatic participants and older presymptomatic participants. Discussion: Dynamic network abnormalities in FTD predict cognitive decline and symptomatic conversion. Highlights: We investigated brain network predictors of dementia symptom onsetFrontotemporal dementia results in characteristic dynamic network patternsAlterations in network dynamics are associated with neuropsychological impairmentNetwork dynamic changes predict symptomatic conversion in presymptomatic carriersNetwork dynamic changes are associated with longitudinal cognitive decline [ABSTRACT FROM AUTHOR]

This study examines the influence of three‐layered cranial architecture development upon blunt force trauma (BFT) cranial outcomes associated with pediatric non‐accidental injury (NAI). Macroscopic and microscopic metric and morphological comparisons of subadult crania ranging from perinatal to 17 years of age chronicle the ontogenetic development and spatial and temporal variability in the emergence of a mature cranial architecture. Cranial vault thickness increases with subadult age, accelerating in the first 2 years of life due to rapid brain growth during this period. Three‐layer differentiation of the cranial tables and diploë initiates by 3–6 months but is not consistently observed until 18 months to 2 years; diploë formation is not well developed until after age 4 and does not manifest a mature appearance until after age 8. These results allow topographic documentation of cortical and diploic development and temporal and spatial variability across the growing cranium. The lateral cranial vault is identified as expressing delayed development and reduced expression of the three‐layer architecture, a pattern that continues into adulthood. Comparison of fracture locations from known BFT pediatric cases with identified cranial fracture high‐risk impact regions shows a concordance and suggests the presence of a higher fracture risk associated with non‐accidental BFT in the lateral vault region in subadults below the age of 2. The absence or lesser development of a three‐layered architecture in subadults leaves their cranial bones, particularly in the lateral vault, thin and vulnerable to the effects of BFT. [ABSTRACT FROM AUTHOR]

We studied the annual change in measures of motor, oculomotor and cognitive function in progressive supranuclear palsy. This had twin objectives, to assess the potential for clinical parameters to monitor disease progression in clinical trials and to illuminate the progression of pathophysiology.Twenty three patients with progressive supranuclear palsy (Richardson's syndrome) were compared to 22 matched controls at baseline and 16 of these patients compared at baseline and one year using: the progressive supranuclear palsy rating scale; the unified Parkinson's disease rating scale; the revised Addenbrooke's cognitive examination; the frontal assessment battery; the cubes section of the visual object and space perception battery; the Hayling and Brixton executive tests; and saccadic latencies.Patients were significantly impaired in all domains at baseline. However, cognitive performance was maintained over a year on the majority of tests. The unified Parkinson's disease rating scale, saccadic latency and progressive supranuclear palsy rating scale deteriorated over a year, with the latter showing the largest change. Power estimates indicate that using the progressive supranuclear palsy rating scale as an outcome measure in a clinical trial would require 45 patients per arm, to identify a 50% reduction in rate of decline with 80% power.Motor, oculomotor and cognitive domains deteriorate at different rates in progressive supranuclear palsy. This may be due to differential degeneration of their respective cortical-subcortical circuits, and has major implications for the selection of outcome measures in clinical trials due to wide variation in sensitivity to annual rates of decline.

The technical advancement of earthmoving equipment during the 20th century includes many improvements in key parts of machines. This paper uses five systems that make up earthmoving equipment (implement, traction, structure, power train, and control and information) to analyze this technical advancement. The analysis of each system includes its purpose and operation, technical limitations and key technologies, and a chronology of major advancements. The findings are the benefits of using the five systems for analysis of technical change, the sequence and timing of key technical advances in each system, the fundamental technologies that fostered these advances, and the integration of systems into balanced equipment designs. This increased understanding from this analysis results in significant implications and relevance for civil designers working on integrated teams, contractors selecting methods and planning operations, equipment suppliers developing new machines, construction educators teaching the technical basics of equipment, and researchers developing advanced modeling and simulation tools. DOI: 10.1061/(ASCE)0733-9364(2006)132:9(976) CE Database subject headings: Construction equipment; Innovation; Earthwork; Technology; Information technology (IT); Control systems; Diesel fuels.