Modulation of ecosystem services by animal personalities

Conservationists rarely consider the roles individuals, with their own unique behavior, physiology, and genome, play in shaping ecosystem processes and consequently ecosystem services, but this is changing. An ongoing surge in research on animal personalities (that is, behavioral differences among individuals that are consistent over time and across contexts) is exposing the ecological roles of individuals to scientific scrutiny. Here, we present four broad examples of ecosystem services that are likely to be shaped by personalities: (1) pollination and seed dispersal, (2) regulation of pest species, (3) ecotourism, and (4) maintenance of soil quality. Although researchers have suggested diverse links between animal personality and ecosystem function, very few have examined this association. We outline a four-step process for quantifying and validating these linkages, leading to application for conservation practitioners, and conclude by recommending that accounting for behavioral variation should be incorporated into the management of ecosystem services

Detailed Analysis of Scatter Contribution from Different Simulated Geometries of X-ray Detectors.

Scattering is one of the main issues left in planar mammography examinations, as it degrades the quality of the image and complicates the diagnostic process. Although widely used, anti-scatter grids have been found to be inefficient, increasing the dose delivered, the equipment price and not eliminating all the scattered radiation. Alternative scattering reduction methods, based on postprocessing algorithms using Monte Carlo (MC) simulations, are being developed to substitute anti-scatter grids. Idealized detectors are commonly used in the simulations for the purpose of simplification. In this study, the scatter distribution of three detector geometries is analyzed and compared: Case 1 makes use of idealized detector geometry, Case 2 uses a scintillator plate and Case 3 uses a more realistic detector simulation, based on the structure of an indirect mammography X-ray detector. This paper demonstrates that common configuration simplifications may introduce up to 14% of underestimation of the scatter in simulation results

More Comprehensive and Inclusive Approaches to Demographic Data Collection

In this evidence-based practice paper, we discuss ways for researchers and educators to more sensitively, accurately, and effectively collect demographic information on surveys. Identifying variables that capture diversity more broadly is vital in understanding the variety of ways in which students participate in and experiencing engineering education. We frame this discussion through publically available statistics that suggest the potential error in common approaches employed for demographic collection. While basic questions about participants’ sex and ethnicity are standard items in assessment and data collection, these questions only develop a limited representation and potentially present an inaccurate accounting of students’ social identities and honest self-expression. Classic demographic measurement approaches classify students on broad, general, and historically driven elements of diversity typically defined by others rather than individual students. Unfortunately, simply asking a participant to self-identify their gender dichotomously or select from a pre-defined set of ethnicity options has the potential to record information that does not completely or accurately represent a student’s self-identified characteristics or a researchers latent purpose. Alternatively, asking questions via simple open-ended queries both maintains any problem represented in the phrasing of the question as well as presents a major loss in efficiency by requiring a post-collection coding step. In this paper we discuss three major topics through reviews of literature, emergent cultural norms, and suggestions for better practices. First, we will cover the framing of demographic questions to gather the intended information (i.e., differentiating how the student experiences the world and how the world experiences the student). Second, we address ordering of demographic questions and the extended capability provided by modern online collection tools. Finally, using the lessons of parts one and two we offer some examples of improved ways of collecting a variety of demographic information such as gender identity, ethnicity, language, sexual orientation, disability status, and socioeconomic status. The examples will show how researchers can be more sensitive to issues of diversity while at the same time improving research quality

Metabolomics profiling of visceral adipose tissue: Results From MESA and the NEO study

Background Identifying associations between serum metabolites and visceral adipose tissue ( VAT ) could provide novel biomarkers of VAT and insights into the pathogenesis of obesity-related diseases. We aimed to discover and replicate metabolites reflecting pathways related to VAT . Methods and Results Associations between fasting serum metabolites and VAT area (by computed tomography or magnetic resonance imaging) were assessed with cross-sectional linear regression of individual-level data from participants in MESA (Multi-Ethnic Study of Atherosclerosis; discovery, N=1103) and the NEO (Netherlands Epidemiology of Obesity) study (replication, N=2537). Untargeted 1H nuclear magnetic resonance metabolomics profiling of serum was performed in MESA, and metabolites were replicated in the NEO study using targeted 1H nuclear magnetic resonance spectroscopy. A total of 30 590 metabolomic spectral variables were evaluated. After adjustment for age, sex, race/ethnicity, socioeconomic status, smoking, physical activity, glucose/lipid-lowering medication, and body mass index, 2104 variables representing 24 nonlipid and 49 lipid/lipoprotein subclass metabolites remained significantly associated with VAT ( P=4.88×10-20-1.16×10-3). These included conventional metabolites, amino acids, acetylglycoproteins, intermediates of glucose and hepatic metabolism, organic acids, and subclasses of apolipoproteins, cholesterol, phospholipids, and triglycerides. Metabolites mapped to 31 biochemical pathways, including amino acid substrate use/metabolism and glycolysis/gluconeogenesis. In the replication cohort, acetylglycoproteins, branched-chain amino acids, lactate, glutamine (inversely), and atherogenic lipids remained associated with VAT ( P=1.90×10-35-8.46×10-7), with most associations remaining after additional adjustment for surrogates of VAT (glucose level, waist circumference, and serum triglycerides), reflecting novel independent associations. Conclusions We identified and replicated a metabolite panel associated with VAT in 2 community-based cohorts. These findings persisted after adjustment for body mass index and appear to define a metabolic signature of visceral adiposity

RSV infection of humanized lung-only mice induces pathological changes resembling severe bronchiolitis and bronchopneumonia

Respiratory syncytial virus (RSV) is a substantial cause of severe lower respiratory tract infections in infants, young children, older adults, and immunocompromised individuals. There is a vital need for effective therapeutics to prevent and/or treat severe RSV infection in these high-risk individuals. The development and pre-clinical testing of candidate RSV therapeutics could be accelerated by their evaluation in animal models that recapitulate bronchiolitis and bronchopneumonia, both hallmark features of severe RSV infection in humans. Previously, we demonstrated that implanted human lung tissue in humanized lung-only mice (LoM) can be infected with RSV, resulting in sustained virus replication. Here we analyzed RSV-associated human lung pathology in the human lung implants of RSV-infected LoM. RSV-infected epithelial cells lining the airway and the alveolar regions of human lung implants result in hallmark histological features of RSV bronchiolitis and bronchopneumonia, including distal airway and alveolar lumens clogged with (1) sloughed and necrotic RSV-infected epithelial cells, (2) neutrophil-containing inflammatory infiltrates, and (3) MUC5B-dominated mucus secretions. We also show that treatment of LoM with a small molecule antiviral (ribavirin) or a neutralizing antibody (palivizumab) significantly suppressed and/or prevented RSV infection in vivo. Our data together show that RSV infection of human lung implants in vivo exhibits appropriate cellular tropism and results in the hallmark pathological characteristics of severe bronchiolitis and bronchopneumonia in humans. They also offer proof-of-principle of the utility of this model to evaluate novel approaches for the prevention/treatment of RSV infection

The role of soil ice in land‐atmosphere coupling over the United States: A soil moisture–precipitation winter feedback mechanism

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95620/1/jgrd16563.pd

Rex1p deficiency leads to accumulation of precursor initiator tRNAMet and polyadenylation of substrate RNAs in Saccharomyces cerevisiae

A synthetic genetic array was used to identify lethal and slow-growth phenotypes produced when a mutation in TRM6, which encodes a tRNA modification enzyme subunit, was combined with the deletion of any non-essential gene in Saccharomyces cerevisiae. We found that deletion of the REX1 gene resulted in a slow-growth phenotype in the trm6-504 strain. Previously, REX1 was shown to be involved in processing the 3′ ends of 5S rRNA and the dimeric tRNAArg-tRNAAsp. In this study, we have discovered a requirement for Rex1p in processing the 3′ end of tRNAiMet precursors and show that precursor tRNAiMet accumulates in a trm6-504 rex1Δ strain. Loss of Rex1p results in polyadenylation of its substrates, including tRNAiMet, suggesting that defects in 3′ end processing can activate the nuclear surveillance pathway. Finally, purified Rex1p displays Mg2+-dependent ribonuclease activity in vitro, and the enzyme is inactivated by mutation of two highly conserved amino acids

Global patient outcomes after elective surgery: prospective cohort study in 27 low-, middle- and high-income countries.

BACKGROUND: As global initiatives increase patient access to surgical treatments, there remains a need to understand the adverse effects of surgery and define appropriate levels of perioperative care. METHODS: We designed a prospective international 7-day cohort study of outcomes following elective adult inpatient surgery in 27 countries. The primary outcome was in-hospital complications. Secondary outcomes were death following a complication (failure to rescue) and death in hospital. Process measures were admission to critical care immediately after surgery or to treat a complication and duration of hospital stay. A single definition of critical care was used for all countries. RESULTS: A total of 474 hospitals in 19 high-, 7 middle- and 1 low-income country were included in the primary analysis. Data included 44 814 patients with a median hospital stay of 4 (range 2-7) days. A total of 7508 patients (16.8%) developed one or more postoperative complication and 207 died (0.5%). The overall mortality among patients who developed complications was 2.8%. Mortality following complications ranged from 2.4% for pulmonary embolism to 43.9% for cardiac arrest. A total of 4360 (9.7%) patients were admitted to a critical care unit as routine immediately after surgery, of whom 2198 (50.4%) developed a complication, with 105 (2.4%) deaths. A total of 1233 patients (16.4%) were admitted to a critical care unit to treat complications, with 119 (9.7%) deaths. Despite lower baseline risk, outcomes were similar in low- and middle-income compared with high-income countries. CONCLUSIONS: Poor patient outcomes are common after inpatient surgery. Global initiatives to increase access to surgical treatments should also address the need for safe perioperative care. STUDY REGISTRATION: ISRCTN5181700