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Abstract High levels of infant negative emotionality (NE) are associated with emotional and behavioral problems later in childhood. Identifying neural markers of high NE as well as low positive emotionality (PE) in infancy can provide neural markers to aid early identification of vulnerability, and inform interventions to help delay or even prevent psychiatric disorders before the manifestation of symptoms. Prefrontal cortical (PFC) subregions support the regulation of NE and PE, with each PFC subregion differentially specializing in distinct emotional regulation processes. Gray matter (GM) volume measures show good test-retest reliability, and thus have potential use as neural markers of NE and PE. Yet, while studies showed PFC GM structural abnormalities in adolescents and young adults with affective disorders, few studies examined how PFC subregional GM measures are associated with NE and PE in infancy. We aimed to identify relationships among GM in prefrontal cortical subregions at 3 months and caregiver report of infant NE and PE, covarying for infant age and gender and caregiver sociodemographic and clinical variables, in two independent samples at 3 months (Primary: n = 75; Replication sample: n = 40) and at 9 months (Primary: n = 44; Replication sample: n = 40). In the primary sample, greater 3-month medial superior frontal cortical volume was associated with higher infant 3-month NE (p

Active galactic nuclei (AGNs) feedback models are generally calibrated to reproduce galaxy observables such as the stellar mass function and the bimodality in galaxy colors. We use variations of the AGN feedback implementations in the IllustrisTNG (TNG) and Simba cosmological hydrodynamic simulations to show that the low-redshift Ly α forest can provide constraints on the impact of AGN feedback. We show that TNG overpredicts the number density of absorbers at column densities N _HI < 10 ^14 cm ^−2 compared to data from the Cosmic Origins Spectrograph (in agreement with previous work), and we demonstrate explicitly that its kinetic feedback mode, which is primarily responsible for galaxy quenching, has a negligible impact on the column density distribution (CDD) of absorbers. In contrast, we show that the fiducial Simba model, which includes AGN jet feedback, is the preferred fit to the observed CDD of the z = 0.1 Ly α forest across 5 orders of magnitude in column density. We show that the Simba results with jets produce a quantitatively better fit to the observational data than the Simba results without jets, even when the ultraviolet background is left as a free parameter. AGN jets in Simba are high speed, collimated, weakly interacting with the interstellar medium (via brief hydrodynamic decoupling), and heated to the halo virial temperature. Collectively these properties result in stronger long-range impacts on the intergalactic medium when compared to TNG’s kinetic feedback mode, which drives isotropic winds with lower velocities at the galactic radius. Our results suggest that the low-redshift Ly α forest provides plausible evidence for long-range AGN jet feedback.

ABSTRACT A growing body of data suggests that the microbiome of a species can vary considerably from individual to individual, but the reasons for this variation—and the consequences for the ecology of these communities—remain only partially explained. In mammals, the emerging picture is that the metabolic state and immune system status of the host affect the composition of the microbiome, but quantitative ecological microbiome studies are challenging to perform in higher organisms. Here, we show that these phenomena can be quantitatively analyzed in the tractable nematode host Caenorhabditis elegans. Mutants in innate immunity, in particular the DAF-2/insulin growth factor (IGF) pathway, are shown to contain a microbiome that differs from that of wild-type nematodes. We analyzed the underlying basis of these differences from the perspective of community ecology by comparing experimental observations to the predictions of a neutral sampling model and concluded that fundamental differences in microbiome ecology underlie the observed differences in microbiome composition. We tested this hypothesis by introducing a minor perturbation into the colonization conditions, allowing us to assess stability of communities in different host strains. Our results show that altering host immunity changes the importance of interspecies interactions within the microbiome, resulting in differences in community composition and stability that emerge from these differences in host-microbe ecology. IMPORTANCE Here, we used a Caenorhabditis elegans microbiome model to demonstrate how genetic differences in innate immunity alter microbiome composition, diversity, and stability by changing the ecological processes that shape these communities. These results provide insight into the role of host genetics in controlling the ecology of the host-associated microbiota, resulting in differences in community composition, successional trajectories, and response to perturbation.

This article presents a model for developing a university press based around three guiding principles and six key stages of the publishing process, with associated activities. The model is designed to be applicable to a range of business models, including subscription, open access and hybrid. The guiding principles, publishing stages and strategic points all constitute the building blocks necessary to implement and maintain a sustainable university press. At the centre of the model there are three interconnected main guiding principles: strategic alignment, stakeholder relationships and demonstrating impact. The publishing process outlined in the outer ring of the model is made up of six sections: editorial, production, dissemination, preservation, communication and analytics. These sections were based on the main stages that a journal article or monograph goes through from proposal or commissioning stage through to publication and beyond. The model highlights the overall importance of working in partnership and building relationships as key to developing and maintaining a successful press.

Switchgrass (Panicum virgatum) is a native prairie grass and valuable bio-energy crop. The physiological change from juvenile to reproductive adult can draw important resources away from growth into producing reproductive structures, thereby limiting the growth potential of early flowering plants. Delaying the flowering of switchgrass is one approach by which to increase total biomass. The objective of this research was to identify genetic variants and candidate genes for controlling heading and anthesis in segregating switchgrass populations. Four pseudo-F2 populations (two pairs of reciprocal crosses) were developed from lowland (late flowering) and upland (early flowering) ecotypes, and heading and anthesis dates of these populations were collected in Lafayette, IN and DeKalb, IL in 2015 and 2016. Across 2 years, there was a 34- and 73-day difference in heading and a 52- and 75-day difference in anthesis at the Lafayette and DeKalb locations, respectively. A total of 37,901 single nucleotide polymorphisms obtained by exome capture sequencing of the populations were used in a genome-wide association study (GWAS) that identified five significant signals at three loci for heading and two loci for anthesis. Among them, a homolog of FLOWERING LOCUS T on chromosome 5b associated with heading date was identified at the Lafayette location across 2 years. A homolog of ARABIDOPSIS PSEUDO-RESPONSE REGULATOR 5, a light modulator in the circadian clock associated with heading date was detected on chromosome 8a across locations and years. These results demonstrate that genetic variants related to floral development could lend themselves to a long-term goal of developing late flowering varieties of switchgrass with high biomass yield.

Flowering is an important developmental event in switchgrass (), as the time to complete the life cycle affects overall biomass accumulation. The objective of this study was to generate a linkage map using single nucleotide polymorphism (SNP) markers to identify quantitative trait loci (QTL) associated with flowering time. A pseudo-F population was created by crossing two siblings derived from an initial cross between the lowland population Ellsworth and the upland cultivar Summer. Heading and anthesis dates were collected for 2 yr at two locations: DeKalb, IL and Lafayette, IN. Nine QTL for flowering time were detected, two of which were heading-associated, four anthesis-associated, and three associated with both heading and anthesis. One QTL on linkage group (LG) 2a was detected for heading and anthesis in each location and year when environments were analyzed separately, and in a combined analysis across both locations and years. The effect on heading and anthesis of the QTL on LG 2a ranged from 4 to 13 and 5 to 9 d, respectively, depending on environment. Our findings validate QTL for switchgrass flowering time from previous research and identified additional QTL. Based on the switchgrass reference genome version 1.1, flowering time gene homologs reside near the LG 2a QTL and include PSEUDO RESPONSE REGULATOR 5, SUPPRESSOR OF FRIGIDA 4, and APETALA 1, respectively involved in the circadian clock, vernalization, and floral meristem identity. Markers linked to the QTL can be used to improve the efficiency of breeding switchgrass for delayed flowering to increase biomass yield.

Automatic gait analysis in free‐living environments using inertial sensors requires individualized approach as local acceleration and velocity profiles vary with the walker and the topological properties of the environment (e.g., walking in the forest vs. walking on sand). Here, we propose a smartphone‐based gait assessment architecture which consists of two data processing modules. The first module employs a set of personalized classifiers for automatic recognition of the walking environment. The second module provides accurate step time estimates by selecting the optimal filtering frequency tailored to the predicted environment. The performance of the architecture was evaluated using experimental data collected from 10 participants walking in 10 different conditions typically encountered during daily living. Compared with ground truth data, the architecture successfully recognized the walking environments; the percentage of correctly classified instances was above 92%. It also estimated step time with high accuracy; the mean absolute error was less than 10 ms, outperforming or at the very least matching the performance levels achieved in controlled laboratory trials (indoor flat surface walking). Compared with using one filtering frequency for all environments, using optimal frequency tailored to each environment reduced step time estimation error by more than 39%. To the best of our knowledge, this is the first study which successfully demonstrates that parameter tuning can improve gait characterization in outdoor environments. However, further research using a larger data set (including more participants with varying demographics and degree of impairment) is needed to confirm this result. Our findings highlight the importance of environment‐aware gait analysis, and lay the groundwork for a smartphone‐based technology that can be used in the community. [ABSTRACT FROM AUTHOR]

Abstract Introduction Deep T inversions in the anterior leads (Wellens' syndrome) are a sign of life-threatening coronary artery occlusion. The purpose of this simulation experience is to present a Wellens' syndrome case that allows medical students, emergency medicine residents, and emergency medical service providers to test their knowledge base and critically evaluate the management of the following type of acute coronary syndrome: a Wellens' syndrome (deep T wave inversions in anterior leads) that develops into a ST-elevation myocardial infarction (STEMI) during management. Methods The module contains four elements to help direct the simulation experience. The first element is the case narrative, which includes all pertinent case information, interpretations of the case information, and anticipated case branch points. The second element is a PowerPoint presentation that contains pertinent case lab information, X-ray, and ECGs to be used during the case simulation. The third element is a PowerPoint presentation that contains teaching points for the debriefing session. Finally, an evaluation form is included containing recommended actions. Results A pilot simulation was performed with emergency medicine residents. Residents felt the case emphasized the importance of patient reevaluation, comparing new and old ECGs, and obtaining new ECGs with changes in clinical status. Discussion The case was effective in familiarization and teaching about Wellens' Syndrome. Additionally, most of the participants identified a general lack of comfort in recognizing Wellens' ECG changes (even when the management decisions were correct), secondary to lack of familiarity. In this regard, the case was received well as it is an opportunity to critically review and discuss the Wellens' phenomenon.

Rand Water has contracted University of South Africa (UNISA) to develop a monetary valuation method for its open spaces and its inherent ecological functions. This article begins by reviewing existing contemporary definitions for open space in South Africa and then identifies the key characteristics thereof. Open Spaces in the Gauteng urban environment is in a crisis and factors such as open space coverage standards, sale of open space, crime and the impact of the apartheid legacy are briefly examined. Rand Water’s open space contributes to the total open space stock of Gauteng province. Any shortage of open space and threats to the sustainable management and expansion of the open space network of the province therefore has a direct bearing on how Rand Water views and manages its open space resources. Environmental resource economics provides economists and environmentalists with various instruments to place a monetary value on the environment. The available valuation instruments are briefly reviewed and questionnaires are developed from this to determine whether it can be applied by Rand Water staff to obtain values at a minimal cost, in a short space of time, and whether it assesses the various use and non-use values.