The Neighborhood Atlas Area Deprivation Index And Recommendations For Area-Based Deprivation Measures.

Edward Hannan and colleagues found that a lack of standardization of input variables to the Area Deprivation Index (ADI) available from the Neighborhood Atlas overweights the index for median home value and thus potentially further disadvantages already disadvantaged communities. We recommend that a revised ADI be created that addresses the error, and we offer five steps to avoid future errors in the creation of area deprivation measures.

The effect of climate change on avian offspring production: A global meta-analysis.

Climate change affects timing of reproduction in many bird species, but few studies have investigated its influence on annual reproductive output. Here, we assess changes in the annual production of young by female breeders in 201 populations of 104 bird species (N = 745,962 clutches) covering all continents between 1970 and 2019. Overall, average offspring production has declined in recent decades, but considerable differences were found among species and populations.

BCG-Vaccinated Children with Contact to Tuberculosis Patients Show Delayed Conversion of -Specific IFN-γ Release.

BCG vaccination is recommended for healthy babies after birth in several countries with a high prevalence of tuberculosis, including Ghana. Previous studies showed that BCG vaccination prevents individuals from developing severe clinical manifestations of tuberculosis, but BCG vaccination effects on the induction of IFN-γ after infection have hardly been investigated. Here, we performed IFN-γ-based T-cell assays (i.

Flexibility and sensitivity in gene regulation out of equilibrium.

Unlabelled: Cells adapt to environments and tune gene expression by controlling the concentrations of proteins and their kinetics in regulatory networks. In both eukaryotes and prokaryotes, experiments and theory increasingly attest that these networks can and do consume bio-chemical energy. How does this dissipation enable cellular behaviors unobtainable in equilibrium? This open question demands quantitative models that transcend thermodynamic equilibrium.

Leaf angle as a leaf and canopy trait: Rejuvenating its role in ecology with new technology.

Life on Earth depends on the conversion of solar energy to chemical energy by plants through photosynthesis. A fundamental challenge in optimizing photosynthesis is to adjust leaf angles to efficiently use the intercepted sunlight under the constraints of heat stress, water loss and competition. Despite the importance of leaf angle, until recently, we have lacked data and frameworks to describe and predict leaf angle dynamics and their impacts on leaves to the globe.

Economic evaluation of an integrated virtual care programme for people with chronic illness who are frequent users of health services in Australia.

Objective: The MeCare programme is a tailored virtual care initiative targeted at frequent users of health services who have at least one chronic condition including cardiovascular disease, chronic respiratory disease, diabetes or chronic kidney disease. The programme aims to prevent unnecessary hospitalisations by helping patients to self-manage, improve their health literacy and engage in positive health behaviours. This study investigates the impact of the MeCare programme on healthcare resource use, costs and patient-reported outcomes.

Feminizing care pathways: Mixed-methods study of reproductive options, decision making, pregnancy, post-natal care and parenting amongst women with kidney disease.

Aims: To identify the needs, experiences and preferences of women with kidney disease in relation to their reproductive health to inform development of shared decision-making interventions.

Design: UK-wide mixed-methods convergent design (Sep 20-Aug 21).

Methods: Online questionnaire (n = 431) with validated components.

From Revolution to Evolution: Early Experience with Virtual-First, Outcomes-Based Primary Care.

Primary care is foundational to health systems and a common good. The workforce is threatened by outdated approaches to organizing work, payment, and technology. Primary care work should be restructured to support a team-based model, optimized to efficiently achieve the best population health outcomes.

Absence of Malaria-Associated Coagulopathy in Asymptomatic Infection: Results From a Cross-sectional Study in the Ashanti Region, Ghana.

Background: Coagulopathy is common in acute symptomatic malaria, and the degree of coagulation abnormality correlates with parasitemia and disease severity. Chronic asymptomatic malaria has been associated with increased morbidity. However, the role of coagulation activation in asymptomatic, semi-immune individuals remains unclear.

Distinct subpopulations of D1 medium spiny neurons exhibit unique transcriptional responsiveness to cocaine.

Drugs of abuse increase extracellular concentrations of dopamine in the nucleus accumbens (NAc), resulting in transcriptional alterations that drive long-lasting cellular and behavioral adaptations. While decades of research have focused on the transcriptional mechanisms by which drugs of abuse influence neuronal physiology and function, few studies have comprehensively defined NAc cell type heterogeneity in transcriptional responses to drugs of abuse. Here, we used single nucleus RNA-seq (snRNA-seq) to characterize the transcriptome of over 39,000 NAc cells from male and female adult Sprague-Dawley rats following acute or repeated cocaine experience.

Variation in Family Physicians' Experiences Across Different Electronic Health Record Platforms: a Descriptive Study.

Background: Electronic health records (EHRs) have been connected to excessive workload and physician burnout. Little is known about variation in physician experience with different EHRs, however.

Objective: To analyze variation in reported usability and satisfaction across EHRs.

The COSI trial: a study protocol for a multi-centre, randomised controlled trial to explore the clinical and cost-effectiveness of the Circle of Security-Parenting Intervention in community perinatal mental health services in England.

Background: Perinatal mental health difficulties affect up to 27% of birthing parents during pregnancy and the first postnatal year, and if untreated are associated with difficulties in bonding and long-term adverse outcomes to children. There are large evidence gaps related to psychological treatment, particularly in group therapy approaches and parent-infant interventions. One intervention showing preliminary efficacious findings and user acceptability is Circle of Security-Parenting (COS-P), which is a brief, weekly, group programme.

Higher productivity in forests with mixed mycorrhizal strategies.

Decades of theory and empirical studies have demonstrated links between biodiversity and ecosystem functioning, yet the putative processes that underlie these patterns remain elusive. This is especially true for forest ecosystems, where the functional traits of plant species are challenging to quantify. We analyzed 74,563 forest inventory plots that span 35 ecoregions in the contiguous USA and found that in ~77% of the ecoregions mixed mycorrhizal plots were more productive than plots where either arbuscular or ectomycorrhizal fungal-associated tree species were dominant.

Longitudinal associations between perceived stress and anhedonia during psychotherapy.

Background: Chronic stress alters reward sensitivity and contributes to the emergence of anhedonia. In clinical samples, the perception of stress is a strong predictor of anhedonia. While there is substantial evidence demonstrating psychotherapy reduces perceived stress, little is known regarding the effects of treatment-related decreases in perceived stress on anhedonia.

Practical considerations for specifying a super learner.

Common tasks encountered in epidemiology, including disease incidence estimation and causal inference, rely on predictive modelling. Constructing a predictive model can be thought of as learning a prediction function (a function that takes as input covariate data and outputs a predicted value). Many strategies for learning prediction functions from data (learners) are available, from parametric regressions to machine learning algorithms.

Personalized online ensemble machine learning with applications for dynamic data streams.

In this work we introduce the personalized online super learner (POSL), an online personalizable ensemble machine learning algorithm for streaming data. POSL optimizes predictions with respect to baseline covariates, so personalization can vary from completely individualized, that is, optimization with respect to subject ID, to many individuals, that is, optimization with respect to common baseline covariates. As an online algorithm, POSL learns in real time.