382 research outputs found
The Relationship Between a CFO\u27s Financial Expertise and Firm Profitability
More than 50% of small businesses fail by the 5th year of operation because of lack of economic sustainability. Organizations without a chief financial officer (CFO) with financial expertise may have suboptimal fiscal performance. The purpose of this correlational study was to examine whether there was a relationship between CFO licensure status, CFO age, and firm earnings per share. A sample of 403 small businesses in the United States, taken from the Russell 2000 Index, was used in the study. The theoretical framework for the study was Penrose\u27s resource-based view of the firm. CFO names and firm earnings per share were taken from the 2015 SEC 10-K filings. CPAverify was used to determine specific CFO licensure status. LexisNexis was used to identify CFO age. Multiple linear regression was used to examine the relationship between CFO licensure status, CFO age, and firm earnings per share. A multiple regression model with F(2, 400) = 3.69, p = .03, R2 = .018 demonstrated a relationship between CFO licensure status, CFO age, and firm earnings per share ratio. Having a CPA license F(1, 154) = 8.59, p = .01, R2 = .053 revealed a slightly better correlation between licensure status and firm earnings per share. CFO age F(1, 401) = 3.10, p = .08, R2 = .005 revealed no relationship to firm earnings per share. Small business leaders could use this study\u27s findings as the basis for hiring CFOs with financial expertise. Doing so may help increase the firm\u27s profitability and mitigate the risks of business failure. Positive social change may ensue provided small businesses use this study\u27s findings to improve job retention and the economic viability of a community
Characteristics of drug users who do or do not have care of their children
Aims - To compare the relative frequency of eight indicators of problem drug use and potentially adverse social circumstances in drug using parents and non-parents and to explore whether a profile based on these characteristics differs according to whether or not dependent children live with their drug-using parent.
Design – The study utilises a 5-year national UK treatment monitoring system dataset.
Sample – 61,425 users with, and 105,473 without dependent children accessing drug treatment services in England and Wales between January 1996 and December 2000.
Measurements – Information about parenthood and children’s residence was routinely collected. Drug use and social circumstance indicators were daily heroin use, daily alcohol use, regular stimulant use, sharing of injecting equipment, living with another user, living alone, unstable accommodation, and criminal justice referral.
Findings – There were clear differences between drug using parents according to where children live. Parents with children at home and non-parents showed fewer of the indicators than parents with children in care or elsewhere. Sixty-five percent of parents with none of the indicators lived with their children, compared to only 28% of those with three indicators and 9% of those with six or more indicators. Parents with children in care or living elsewhere showed the highest prevalence for each individual indicator.
Conclusions – Drug using parents demonstrate a range of potentially unfavourable drug use behaviours and social circumstances but those whose children live with them use drugs less frequently and live in more favourable conditions than those whose children live elsewhere. Protective factors may operate in family situations while severe drug use and adverse social circumstances may result in a breakdown of family structures
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Enhanced SUMOylation and SENP-1 protein levels following oxygen and glucose deprivation in neurones
Here, we show that oxygen and glucose deprivation (OGD) causes increased small ubiquitin-like modifier (SUMO)-1 and SUMO-2/3 conjugation to substrate proteins in cultured hippocampal neurones. Surprisingly, the SUMO protease SENP-1, which removes SUMO from conjugated proteins, was also increased by OGD, suggesting that the neuronal response to OGD involves a complex interplay between SUMOylation and deSUMOylation. Importantly, decreasing global SUMOylation in cultured hippocampal neurones by overexpression of the catalytic domain of SENP-1 increased neuronal vulnerability to OGD-induced cell death. Taken together, these results suggest a neuroprotective role for neuronal SUMOylation after OGD
Imaging Biomarkers and Prevalence of Complex Aortic Plaque in Cryptogenic Stroke: A Systematic Review
Atherosclerosis; Imaging; StrokeAterosclerosis; Imágenes; IctusAterosclerosi; Imatges; IctusBackground
Complex aortic plaque (CAP) is a potential embolic source in patients with cryptogenic stroke (CS). We review CAP imaging criteria for transesophageal echocardiogram (TEE), computed tomography angiography (CTA), and magnetic resonance imaging and calculate CAP prevalence in patients with acute CS.
Methods and Results
PubMed and EMBASE databases were searched up to December 2022 in accordance with the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guideline. Two independent reviewers extracted data on study design, imaging techniques, CAP criteria, and prevalence. The Cochrane Collaboration tool and Guideline for Reporting Reliability and Agreement Studies were used to assess risk of bias and reporting completeness, respectively. From 2293 studies, 45 were reviewed for CAP imaging biomarker criteria in patients with acute CS (N=37 TEE; N=9 CTA; N=6 magnetic resonance imaging). Most studies (74%) used ≥4 mm plaque thickness as the imaging criterion for CAP although ≥1 mm (N=1, CTA), ≥5 mm (N=5, TEE), and ≥6 mm (N=2, CTA) were also reported. Additional features included mobility, ulceration, thrombus, protrusions, and assessment of plaque composition. From 23 prospective studies, CAP was detected in 960 of 2778 patients with CS (0.32 [95% CI, 0.24–0.41], I2=94%). By modality, prevalence estimates were 0.29 (95% CI, 0.20–0.40; I2=95%) for TEE; 0.23 (95% CI, 0.15–0.34; I2=87%) for CTA and 0.22 (95% CI, 0.06–0.54; I2=92%) for magnetic resonance imaging.
Conclusions
TEE was commonly used to assess CAP in patients with CS. The most common CAP imaging biomarker was ≥4 mm plaque thickness. CAP was observed in one‐third of patients with acute CS. However, high study heterogeneity suggests a need for reproducible imaging methods.The work is supported by the National Heart, Lung, and Blood Institute (R01 HL147355, Z.F.), American Heart Association Career Development Awards (938082 to J.W.S.; 23CDA1053561 to J.W.), Vice Provost for University Research Foundation (J.W.S.), and Institute of Translational Medicine and Therapeutics (J.W.S.)
Developmental profiles of SUMOylation pathway proteins in rat cerebrum and cerebellum
<div><p>Protein SUMOylation regulates multiple processes involved in the differentiation and maturation of cells and tissues during development. Despite this, relatively little is known about the spatial and temporal regulation of proteins that mediate SUMOylation and deSUMOylation in the CNS. Here we monitor the expression of key SUMO pathway proteins and levels of substrate protein SUMOylation in the forebrain and cerebellum of Wistar rats during development. Overall, the SUMOylation machinery is more highly-expressed at E18 and decreases thereafter, as previously described. All of the proteins investigated are less abundant in adult than in embryonic brain. Furthermore, we show for first time that the profiles differ between cerebellum and cerebrum, indicating differential regional regulation of some of the proteins analysed. These data provide further basic observation that may open a new perspective of research about the role of SUMOylation in the development of different brain regions.</p></div
Psychosocial impact of the summer 2007 floods in England
Background
The summer of 2007 was the wettest in the UK since records began in 1914 and resulted in severe flooding in several regions. We carried out a health impact assessment using population-based surveys to assess the prevalence of and risk factors for the psychosocial consequences of this flooding in the United Kingdom.
Methods
Surveys were conducted in two regions using postal, online, telephone questionnaires and face-to-face interviews. Exposure variables included the presence of flood water in the home, evacuation and disruption to essential services (incident management variables), perceived impact of the floods on finances, house values and perceived health concerns. Validated tools were used to assess psychosocial outcome (mental health symptoms): psychological distress (GHQ-12), anxiety (GAD-7), depression (PHQ-9) and probable post-traumatic stress disorder (PTSD checklist-shortform). Multivariable logistic regression was used to describe the association between water level in the home, psychological exposure variables and incident management variables, and each mental health symptom, adjusted for age, sex, presence of an existing medical condition, employment status, area and data collection method.
Results
The prevalence of all mental health symptoms was two to five-fold higher among individuals affected by flood water in the home. People who perceived negative impact on finances were more likely to report psychological distress (OR 2.5, 1.8-3.4), probable anxiety (OR 1.8, 1.3-2.7) probable depression (OR 2.0, 1.3-2.9) and probable PTSD (OR 3.2, 2.0-5.2). Disruption to essential services increased adverse psychological outcomes by two to three-fold. Evacuation was associated with some increase in psychological distress but not significantly for the other three measures.
Conclusion
The psychosocial and mental health impact of flooding is a growing public health concern and improved strategies for minimising disruption to essential services and financial worries need to be built in to emergency preparedness and response systems. Public Health Agencies should address the underlying predictors of adverse psychosocial and mental health when providing information and advice to people who are or are likely to be affected by flooding
Minimum information and guidelines for reporting a Multiplexed Assay of Variant Effect
Multiplexed Assays of Variant Effect (MAVEs) have emerged as a powerful
approach for interrogating thousands of genetic variants in a single
experiment. The flexibility and widespread adoption of these techniques across
diverse disciplines has led to a heterogeneous mix of data formats and
descriptions, which complicates the downstream use of the resulting datasets.
To address these issues and promote reproducibility and reuse of MAVE data, we
define a set of minimum information standards for MAVE data and metadata and
outline a controlled vocabulary aligned with established biomedical ontologies
for describing these experimental designs
Genomics 2 Proteins portal: a resource and discovery tool for linking genetic screening outputs to protein sequences and structures
peer reviewedRecent advances in AI-based methods have revolutionized the field of structural biology. Concomitantly, high-throughput sequencing and functional genomics have generated genetic variants at an unprecedented scale. However, efficient tools and resources are needed to link disparate data types—to ‘map’ variants onto protein structures, to better understand how the variation causes disease, and thereby design therapeutics. Here we present the Genomics 2 Proteins portal (https://g2p.broadinstitute.org/): a human proteome-wide resource that maps 20,076,998 genetic variants onto 42,413 protein sequences and 77,923 structures, with a comprehensive set of structural and functional features. Additionally, the Genomics 2 Proteins portal allows users to interactively upload protein residue-wise annotations (for example, variants and scores) as well as the protein structure beyond databases to establish the connection between genomics to proteins. The portal serves as an easy-to-use discovery tool for researchers and scientists to hypothesize the structure–function relationship between natural or synthetic variations and their molecular phenotypes.9. Industry, innovation and infrastructur
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