Miracle-dz/UniFAR-FTUs huggingface dataset:
Community size can affect the signals of ecological drift and niche selection on biodiversity.

Ecological drift can override the effects of deterministic niche selection on small populations and drive the assembly of some ecological communities. We tested this hypothesis with a unique dataset sampled identically in 200 streams in two regions (tropical Brazil and boreal Finland) that differ in macroinvertebrate community size by five-fold. Null models allowed us to estimate the magnitude to which beta diversity deviates from the expectation under a random assembly process while taking differences in richness and relative abundance into account, i.e., beta deviation. We found that while incidence-based β-diversity was negatively related to community size only in Brazil, abundance-based β-diversity was negatively related to community size in both Brazil and Finland. β-diversity of small tropical communities was closer to stochastic expectations compared with β-diversity of large communities. We suggest that ecological drift may drive variation in some small communities by changing the expected outcome of niche selection, increasing the chances of species with low abundance and narrow distribution to occur in some communities. Habitat destruction, overexploitation, pollution, and reductions in connectivity have been reducing the size of biological communities. These environmental pressures might make smaller communities more vulnerable to novel conditions and render community dynamics more unpredictable. Incorporation of community size into ecological models should provide conceptual and applied insights into a better understanding of the processes driving biodiversity.
Influence of temperature on prevalence of health and welfare conditions in pigs: time-series analysis of pig abattoir inspection data in England and Wales

Abstract The prevalence of many diseases in pigs displays seasonal distributions. Despite growing concerns about the impacts of climate change, we do not yet have a good understanding of the role that weather factors play in explaining such seasonal patterns. In this study, national and county-level aggregated abattoir inspection data were assessed for England and Wales during 2010–2015. Seasonally-adjusted relationships were characterised between weekly ambient maximum temperature and the prevalence of both respiratory conditions and tail biting detected at slaughter. The prevalence of respiratory conditions showed cyclical annual patterns with peaks in the summer months and troughs in the winter months each year. However, there were no obvious associations with either high or low temperatures. The prevalence of tail biting generally increased as temperatures decreased, but associations were not supported by statistical evidence: across all counties there was a relative risk of 1.028 (95% CI 0.776–1.363) for every 1 °C fall in temperature. Whilst the seasonal patterns observed in this study are similar to those reported in previous studies, the lack of statistical evidence for an explicit association with ambient temperature may possibly be explained by the lack of information on date of disease onset. There is also the possibility that other time-varying factors not investigated here may be driving some of the seasonal patterns.
Risk factors for primary lung cancer among never-smoking women in South Korea: a retrospective nationwide population-based cohort study

Background/Aims We performed a large-scale, retrospective, nationwide, cohort study to investigate the risk factors for lung cancer among never-smoking Korean females. Methods The study data were collected from a general health examination and questionnaire survey of eligible populations conducted between January 1, 2003 and December 31, 2004; the data were acquired from the tailored big data distribution service of the National Health Insurance Service. After a 1-year clearance period, 5,860,922 of 6,318,878 never-smoking female participants with no previous history of lung cancer were investigated. After a median follow-up of 11.4 years, 43,473 (0.74%) participants were defined as “newly diagnosed lung cancer”. Results After adjusting for all variables at baseline, the variables older age, lower body mass index (BMI), less exercise, frequent alcohol drinking, meat-based diet, rural residence, and previous history of cancer were associated with a higher incidence of lung cancer. Low BMI (< 18.5 kg/m2: hazard ratio [HR], 1.33; 95% confidence interval [CI], 1.27 to 1.40) was a significant independent risk factor; as BMI decreased, HR increased. Negative associations between BMI and lung-cancer development were also observed after controlling for age (p for trend < 0.001). Drinking alcohol one to two times a week (HR, 1.25; 95% CI, 1.21 to 1.28) and eating a meat-based diet (HR, 1.08; 95% CI, 1.01 to 1.15) were associated with lung-cancer incidence. Conclusions Modifiable baseline characteristics, such as BMI, exercise, alcohol consumption, and diet, are risk factors for lung-cancer development among never- smoking females. Thus, lifestyle modifications may help prevent lung cancer.
Suicide attempt survivors' recommendations for improving mental health treatment for attempt survivors.

Research indicates that connection to mental health care services and treatment engagement remain challenges among suicide attempt survivors. One way to improve suicide attempt survivors' experiences with mental health care services is to elicit suggestions directly from attempt survivors regarding how to do so. This study aimed to identify and synthesize suicide attempt survivors' recommendations for how to enhance mental health treatment experiences for attempt survivors. A sample of 329 suicide attempt survivors (81.5% female, 86.0% White/Caucasian, mean age = 35.07 ± 12.18 years) provided responses to an open-ended self-report survey question probing how treatment might be improved for suicide attempt survivors. Responses were analyzed utilizing both qualitative and quantitative techniques. Analyses identified four broad areas in which mental health treatment experiences might be improved for attempt survivors: (a) provider interactions (e.g., by reducing stigma of suicidality, expressing empathy, and using active listening), (b) intake and treatment planning (e.g., by providing a range of treatment options, including nonmedication treatments, and conducting a thorough assessment), (c) treatment delivery (e.g., by addressing root problems, bolstering coping skills, and using trauma-informed care), and (d) structural issues (e.g., by improving access to care and continuity of care). Findings highlight numerous avenues by which health providers might be able to facilitate more positive mental health treatment experiences for suicide attempt survivors. Research is needed to test whether implementing the recommendations offered by attempt survivors in this study might lead to enhanced treatment engagement, retention, and outcomes among suicide attempt survivors at large. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
Predictive Accuracy of a Polygenic Risk Score Compared With a Clinical Risk Score for Incident Coronary Heart Disease.

Importance Polygenic risk scores comprising millions of single-nucleotide polymorphisms (SNPs) could be useful for population-wide coronary heart disease (CHD) screening. Objective To determine whether a polygenic risk score improves prediction of CHD compared with a guideline-recommended clinical risk equation. Design, Setting, and Participants A retrospective cohort study of the predictive accuracy of a previously validated polygenic risk score was assessed among 4847 adults of white European ancestry, aged 45 through 79 years, participating in the Atherosclerosis Risk in Communities (ARIC) study and 2390 participating in the Multi-Ethnic Study of Atherosclerosis (MESA) from 1996 through December 31, 2015, the final day of follow-up. The performance of the polygenic risk score was compared with that of the 2013 American College of Cardiology and American Heart Association pooled cohort equations. Exposures Genetic risk was computed for each participant by summing the product of the weights and allele dosage across 6 630 149 SNPs. Weights were based on an international genome-wide association study. Main Outcomes and Measures Prediction of 10-year first CHD events (including myocardial infarctions, fatal coronary events, silent infarctions, revascularization procedures, or resuscitated cardiac arrest) assessed using measures of model discrimination, calibration, and net reclassification improvement (NRI). Results The study population included 4847 adults from the ARIC study (mean [SD] age, 62.9 [5.6] years; 56.4% women) and 2390 adults from the MESA cohort (mean [SD] age, 61.8 [9.6] years; 52.2% women). Incident CHD events occurred in 696 participants (14.4%) and 227 participants (9.5%), respectively, over median follow-up of 15.5 years (interquartile range [IQR], 6.3 years) and 14.2 (IQR, 2.5 years) years. The polygenic risk score was significantly associated with 10-year CHD incidence in ARIC with hazard ratios per SD increment of 1.24 (95% CI, 1.15 to 1.34) and in MESA, 1.38 (95% CI, 1.21 to 1.58). Addition of the polygenic risk score to the pooled cohort equations did not significantly increase the C statistic in either cohort (ARIC, change in C statistic, -0.001; 95% CI, -0.009 to 0.006; MESA, 0.021; 95% CI, -0.0004 to 0.043). At the 10-year risk threshold of 7.5%, the addition of the polygenic risk score to the pooled cohort equations did not provide significant improvement in reclassification in either ARIC (NRI, 0.018, 95% CI, -0.012 to 0.036) or MESA (NRI, 0.001, 95% CI, -0.038 to 0.076). The polygenic risk score did not significantly improve calibration in either cohort. Conclusions and Relevance In this analysis of 2 cohorts of US adults, the polygenic risk score was associated with incident coronary heart disease events but did not significantly improve discrimination, calibration, or risk reclassification compared with conventional predictors. These findings suggest that a polygenic risk score may not enhance risk prediction in a general, white middle-aged population.
EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD

Background Adults with attention-deficit/hyperactivity disorder (ADHD) have been described as having altered resting-state electroencephalographic (EEG) spectral power and theta/beta ratio (TBR). However, a recent review (Pulini et al. 2018) identified methodological errors in neuroimaging, including EEG, ADHD classification studies. Therefore, the specific EEG neuromarkers of adult ADHD remain to be identified, as do the EEG characteristics that mediate between genes and behavior (mediational endophenotypes). Methods Resting-state eyes-open and eyes-closed EEG were measured from 38 adults with ADHD, 45 first-degree relatives of people with ADHD and 51 unrelated controls. A machine learning classification analysis using penalized logistic regression (Elastic Net) examined if EEG spectral power (1-45 Hz) and TBR could classify participants into ADHD, first-degree relatives and/or control groups. Random-label permutation was used to quantify any bias in the analysis. Results Eyes-open absolute and relative EEG power distinguished ADHD from control participants (area under receiver operating characteristic = .71-.77). The best predictors of ADHD status were increased power in delta, theta and low-alpha over centro-parietal regions, and in frontal low-beta and parietal mid-beta. TBR did not classify ADHD status. Elevated eyes-open power in delta, theta, low-alpha and low-beta distinguished first-degree relatives from controls (area under receiver operating characteristic = .68-.72), suggesting that these features may be a mediational endophenotype for adult ADHD. Conclusions Resting-state EEG spectral power may be a neuromarker and mediational endophenotype of adult ADHD. These results did not support TBR as a diagnostic neuromarker for ADHD. It is possible that TBR is a characteristic of childhood ADHD.
Mobile stroke units: taking stroke care to the patient.

PURPOSE OF REVIEW Since the development of intravenous tissue plasminogen activator (tPA) for acute ischemic stroke (AIS), functional outcome has improved when treatment occurs within 4.5 h of stroke onset and treatment benefits are greater with earlier treatment. Endovascular revascularization also is better the sooner it is delivered. RECENT FINDINGS The Get with the Guidelines Stroke registry found that less than one-third of treatment-eligible AIS patients receive intravenous tPA within 60 min of hospital arrival. Initiatives have tried to improve public education and awareness of stroke symptoms to decrease time to presentation. The mobile stroke unit (MSU) facilitates earlier computed tomography scans, delivery of tPA, proper triage and on-scene goal-directed care. MSUs reduce time from stroke alarm to treatment by 25-40 min and increase the rate of intravenous tPA use without an increase in hemorrhage risk. In addition, three-month favorable outcome is increased. SUMMARY MSUs likely will evolve further and be used for other acute neurologic disorders, help triage patients for endovascular therapy, and be incorporated into systems of care in remote areas. Further studies are awaited to fully understand the overall medical and health-economic benefit of MSUs.
Health Literacy, Drug Knowledge, and Drug Misuse Behaviors Among North Korean Refugees.

PURPOSE This study measured levels of health literacy, drug knowledge, and drug misuse behavior and analyzed the relationship among major variables related to 137 North Korean refugees who could only receive limited medical benefits owing to cultural and linguistic barriers. METHOD The data were analyzed using descriptive statistics, t test, and the Pearson correlation coefficient using SPSS. RESULTS The subjects' health literacy and drug knowledge levels were low; however, drug misuse behavior was not high. The drug dosage was significant considering the health literacy of the subjects; notably, the functional health literacy of women was high. However, many drug misuse cases were identified among women in their 40s. Health literacy and drug knowledge levels showed a significant relationship. CONCLUSION It is necessary to provide community-based information to vulnerable groups to ensure safe use of medications and to develop a level-based and tailored educational program considering North Korean refugees' literacy levels and cultural characteristics.
ASXL1 mutations, previous vascular complications and age at diagnosis predict survival in 85 WHO‐defined polycythaemia vera patients

Polycythaemia vera (PV) patients have an overall comparatively favourable prognosis, but disease progression is very heterogeneous and life‐threatening thrombosis and bleedings are frequent complications in untreated disease. Moreover, transformation to more severe secondary myelofibrosis and acute myeloid leukaemia can occur. The aim of this study was to identify gene mutations that could be used together with clinical data as prognostic markers to guide treatment decisions in PV patients. A well‐characterized WHO‐defined cohort of PV patients was used. Clinical data and blood values were evaluated and a myeloid sequencing panel was used to screen for additional mutations other than the diagnostic JAK2 V617F and JAK2 exon 12 mutations. In 78% of the PV patients, at least one mutation additional to JAK2 V617F was detected. Additional mutations in genes coding for epigenetic modifiers, like TET2, DNMT3A and ASXL1, were most frequent. When correlated to overall survival, mutations in ASXL1 were significantly associated with inferior survival. In an attempt to obtain prognostic guidance in a larger number of patients, the presence of ASXL1 mutations was combined with age and vascular complications prior to diagnosis. Based on these data we were able to define three risk groups that predicted survival.
Pharmacological management of atrial fibrillation in patients with heart failure with reduced ejection fraction: review of current knowledge and future directions

ABSTRACT Introduction: Both heart failure with reduced ejection fraction (HFrEF) and atrial fibrillation (AF) independently cause significant morbidity and mortality. The two conditions commonly coexist and AF in the setting of HFrEF is associated with worse mortality, hospitalizations, and quality of life compared to HFrEF without AF. Despite the large burden of these conditions, there is no clear optimal management strategy for when they occur together. Areas covered: This review focuses on the pharmacological management of AF in HFrEF. Studies were identified through PubMed search of relevant keywords. The authors review key clinical trials that have influenced management strategies and guidelines. The authors focus on the classes of drugs used to treat AF for both rate and rhythm control strategies including beta-blockers, digoxin, amiodarone, and dofetilide. Additionally, the authors discuss select non-antiarrhythmic medications that affect AF in HFrEF. The authors highlight the strengths and weakness of the data supporting the use of these medications and suggest future directions. Expert opinion: The pharmacological treatment of AF in HFrEF will need further refinement alongside the emerging role of catheter ablation. Novel HF medications and antiarrhythmics offer new tools to prevent the development of AF, as well as for rate and rhythm control strategies.
State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System

W ith the digitization of all records and processes, and prevalence of cloud-driven services and Internet of Things, today’s era can truly be considered as an era of data. Machine learning (ML) and artificial intelligence (AI) skills are among the most sought-after skills today. McKinsey Global Institute research suggests that 45% of workplace activities in corporations could be automated with current technologies; 80% of that is attributable to existing ML capabilities, and breakthroughs in natural language processing could further the impact. Gartner forecasts that large-scale data-driven analytics could lead to huge benefits in health care; in the United States, where healthcare spending is 18% of gross domestic product, up to US$600 per person could be saved annually. Gartner also forecasts that data-driven insights for demand-supply matching could create an economic impact of $850 billion to $2.5 trillion. International Data Corporation forecasts that spending on AI and ML will grow to $79.2 billion by 2022, with a compound annual growth rate of 38% between the 2018 and 2022 period.
GDSL esterase/lipases OsGELP34 and OsGELP110/OsGELP115 are essential for rice pollen development.

Pollen exine contains complex biopolymers of aliphatic lipids and phenolics. Abnormal development of pollen exine often leads to plant sterility. Molecular mechanisms regulating exine formation have been studied extensively but remain ambiguous. Here we report the analyses of three GDSL esterase/lipase protein genes, OsGELP34, OsGELP110, and OsGELP115, for rice exine formation. OsGELP34 was identified by cloning of a male sterile mutant gene. OsGELP34 encodes an endoplasmic reticulum protein and was mainly expressed in anthers during pollen exine formation. osgelp34 mutant displayed abnormal exine and altered expression of a number of key genes required for pollen development. OsGELP110 was previously identified as a gene differentially expressed in meiotic anthers. OsGELP110 was most homologous to OsGELP115, and the two genes showed similar gene expression patterns. Both OsGELP110 and OsGELP115 proteins were localized in peroxisomes. Individual knockout of OsGELP110 and OsGELP115 did not affect the plant fertility, but double knockout of both genes altered the exine structure and rendered the plant male sterile. OsGELP34 is distant from OsGELP110 and OsGELP115 in sequence, and osgelp34 and osgelp110/osgelp115 mutants were different in anther morphology despite both were male sterile. These results suggested that OsGELP34 and OsGELP110/OsGELP115 catalyze different compounds for pollen exine development. This article is protected by copyright. All rights reserved.
Severe hepatotoxicity due to osimertinib after nivolumab therapy in patients with non‐small cell lung cancer harboring EGFR mutation

Osimertinib is the most promising treatment option for patients with epidermal growth factor receptor (EGFR) mutation‐positive non‐small cell lung cancer (NSCLC) with acquired T790M resistance. However, recent studies have suggested that osimertinib could increase the frequency of serious adverse events (AEs) if administered immediately after immune checkpoint inhibitor (ICI) treatment.
Evaluation of hair cotinine and toxic metal levels in children who were exposed to tobacco smoke

Tobacco or tobacco products (TTP) are harmful because they contain nicotine and some heavy metals. In this study, it was aimed to evaluate whether the responses of parents to questionnaires were compatible with the hair cotinine levels of their children, and to investigate whether exposure to environmental tobacco smoke (ETS) and living conditions increased the levels of cotinine, lead (Pb), arsenic (As), and cadmium (Cd) in the hair samples of the children. Questionnaires were administered to the parents questioning household consumption of TTP and living conditions. Children were grouped as “exposed to ETS” (E‐ETS) and “not exposed to ETS” (NE‐ETS). This grouping was performed through a questionnaire‐based evaluation, and a hair cotinine cut‐off value‐based evaluation. According to the questionnaire‐based evaluation, there were no significant differences in hair Pb, As, and Cd levels between the groups (P‐values: .337, .994, and .825, respectively). The hair cotinine of the E‐ETS group was higher (0.24 ± 0.21 vs 0.22 ± 0.15 ng/mg), but the difference was not statistically significant (P = .317). According to the cotinine evaluation, cotinine, Pb, and As levels were statistically higher in the E‐ETS group (P < .001, <.001, and .036, respectively), but there was no statistical difference between the groups in terms of Cd levels (P = .238). Our results showed that exposure to ETS increased the levels of cotinine, Pb, and As in the hair samples of children, and the questionnaire responses of the parents about their smoking habits might not be compatible with the hair cotinine levels of the children.
Preclinical evaluation of efficacy and pharmacokinetics of gentamicin containing extracellular‐matrix envelope

Using synthetic antibiotic‐eluting envelope (ABE) is an effective intervention for prevention of cardiovascular implantable electronic device (CIED) infection. The biologic extracellular‐matrix envelope (ECME), may offer potential advantages over the synthetic ABE. To further minimize the risk of infection, the ECME can be hydrated in gentamicin prior to CIED implantation. We aimed to evaluate the efficacy and pharmacokinetics (PK) of gentamicin containing ECME in an animal model.