Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk analysis and assessment based on Sigma metrics and intended use

Introduction In order to ensure the quality in clinical laboratories and meet the low risk requirements of patients and clinicians, a risk analysis and assessment model based on Sigma metrics and intended use was constructed, based on which differential sigma performance (σ) expectations of 42 analytes were developed. Materials and methods Failure mode and effects analysis was applied to produce an analytic risk rating based on three factors, each test of which was graded as follows: 1) Sigma metrics; 2) the severity of harm; 3) intended use. By multiplying the score of Sigma metrics by the score of severity of harm by the score of intended use, each was assigned a typical risk priority number (RPN), with RPN ≤ 25 rated as low risk. Low risk was defined as acceptable standards; the sigma performance expectations were calculated. Results Among the 42 analytes, tests with σ ≥ 6, 5 ≤ σ < 6, 4 ≤ σ < 5, 3 ≤ σ < 4, σ < 3 were 21, 5, 5, 6, and 5, respectively; there were 7 high-risk tests, 8 of them medium risk tests. According to the risk assessment conclusion, 13 tests had sigma performance expectations ≥ 6; 15 test items had sigma performance expectations ≥ 5, while 3 test items had sigma performance expectations ≥ 4; 11 test items had sigma performance expectations ≥ 3. Conclusions Constructing the risk analysis and assessment model based on Sigma metrics and intended use will help clinical laboratories to identify the high-risk tests more objectively and comprehensively. Such model can also be used to establish the sigma performance expectations and meet the low risk requirements of patients and clinicians.
Evaluating Model Fit in Bayesian Confirmatory Factor Analysis With Large Samples: Simulation Study Introducing the BRMSEA

Bayesian confirmatory factor analysis (CFA) offers an alternative to frequentist CFA based on, for example, maximum likelihood estimation for the assessment of reliability and validity of educational and psychological measures. For increasing sample sizes, however, the applicability of current fit statistics evaluating model fit within Bayesian CFA is limited. We propose, therefore, a Bayesian variant of the root mean square error of approximation (RMSEA), the BRMSEA. A simulation study was performed with variations in model misspecification, factor loading magnitude, number of indicators, number of factors, and sample size. This showed that the 90% posterior probability interval of the BRMSEA is valid for evaluating model fit in large samples (N≥ 1,000), using cutoff values for the lower (<.05) and upper limit (<.08) as guideline. An empirical illustration further shows the advantage of the BRMSEA in large sample Bayesian CFA models. In conclusion, it can be stated that the BRMSEA is well suited to evaluate model fit in large sample Bayesian CFA models by taking sample size and model complexity into account.
Loving the Group That Denies You First: Social Identity Effects of Ostracism Before Inclusion

Ostracism is an aversive situation that occurs frequently in everyday life; however, few empirical studies have investigated multiple experiences of inclusion or ostracism from the same group. The prior work in this area has also not evaluated the influence of subsequent inclusion and ostracism on identification with the group, perceptions of the group, or group member behaviors. Across three experiments, the current study investigated the impact of subsequent inclusion and ostracism on an individual’s fundamental needs, identification with the group, perceptions of the group, and risk taking to benefit the group. It was hypothesized that participants who were ostracized and then included would show significant increases in group identification, positive group perceptions, and risk taking to benefit the group. Support for these hypotheses was found. Results are discussed regarding the impact of subsequent experiences of ostracism and inclusion on the individual and his or her relationship with the group.
Endarterectomy versus stenting for stroke prevention

The European Society for Vascular Surgery (ESVS) has recently prepared updated guidelines for the management of patients with symptomatic and asymptomatic atherosclerotic carotid artery disease, with specific reference to the roles of best medical therapy, carotid endarterectomy (CEA) and carotid artery stenting (CAS). In symptomatic patients, there is a drive towards performing carotid interventions as soon as possible after onset of symptoms. This is because it is now recognised that the highest risk period for recurrent stroke is the first 7–14 days after onset of symptoms. The guidelines advise that there is a role for both CEA and CAS, but the levels of evidence are slightly lower for CAS than for CEA. This is because 30-day risks of death/stroke in the randomised controlled trials (RCTs) were significantly higher than after CEA (especially in the first 7–14 days after onset of symptoms) and there are concerns that the results obtained in the RCTs may not be generalisable into routine clinical practice. In asymptomatic patients, the 2018 ESVS guidelines were the first to recommend that CEA/CAS should be targeted into a smaller cohort of patients who may be ‘higher risk for stroke’ on medical therapy. As with symptomatic patients, the ESVS guidelines advise that there is a potential role for both CEA and CAS, but the levels of evidence are again slightly lower for CAS than for CEA. This is because 30-day risks of death/stroke in the two largest RCTs, which used credentialed (experienced CAS practitioners), were only just within the accepted 3% risk threshold and there remain concerns that the results obtained in RCTs may not be generalisable into routine clinical practice.
Rapid Airplane Detection in Remote Sensing Images Based on Multilayer Feature Fusion in Fully Convolutional Neural Networks

To address the issues encountered when using traditional airplane detection methods, including the low accuracy rate, high false alarm rate, and low detection speed due to small object sizes in aerial remote sensing images, we propose a remote sensing image airplane detection method that uses multilayer feature fusion in fully convolutional neural networks. The shallow layer and deep layer features are fused at the same scale after sampling to overcome the problems of low dimensionality in the deep layer and the inadequate expression of small objects. The sizes of candidate regions are modified to fit the size of the actual airplanes in the remote sensing images. The fully connected layers are replaced with convolutional layers to reduce the network parameters and adapt to different input image sizes. The region proposal network shares convolutional layers with the detection network, which ensures high detection efficiency. The simulation results indicate that, when compared to typical airplane detection methods, the proposed method is more accurate and has a lower false alarm rate. Additionally, the detection speed is considerably faster and the method can accurately and rapidly complete airplane detection tasks in aerial remote sensing images.
Gender Productivity Gap Among Star Performers in STEM and Other Scientific Fields

We examined the gender productivity gap in science, technology, engineering, mathematics, and other scientific fields (i.e., applied psychology, mathematical psychology), specifically among star performers. Study 1 included 3,853 researchers who published 3,161 articles in mathematics. Study 2 included 45,007 researchers who published 7,746 articles in genetics. Study 3 included 4,081 researchers who published 2,807 articles in applied psychology and 6,337 researchers who published 3,796 articles in mathematical psychology. Results showed that (a) the power law with exponential cutoff is the best-fitting distribution of research productivity across fields and gender groups and (b) there is a considerable gender productivity gap among stars in favor of men across fields. Specifically, the underrepresentation of women is more extreme as we consider more elite ranges of performance (i.e., top 10%, 5%, and 1% of performers). Conceptually, results suggest that individuals vary in research productivity predominantly because of the generative mechanism of incremental differentiation, which is the mechanism that produces power laws with exponential cutoffs. Also, results suggest that incremental differentiation occurs to a greater degree among men and certain forms of discrimination may disproportionately constrain women’s output increments. Practically, results suggest that women may have to accumulate more scientific knowledge, resources, and social capital to achieve the same level of increase in total outputs as their male counterparts. Finally, we offer recommendations on interventions aimed at reducing constraints for incremental differentiation among women that could be useful for narrowing the gender productivity gap specifically among star performers.
Keloid risk in patients with atopic dermatitis: a nationwide retrospective cohort study in Taiwan

Objective The pathogenesis of keloid is largely unknown. Because keloid and atopic dermatitis have overlapping pathophysiological mechanisms, we aimed to evaluate keloid risk in patients with atopic dermatitis. Study design Population-based retrospective cohort study. Setting The Taiwan National Health Insurance Research Database was used to analyse data for people who had been diagnosed with atopic dermatitis. Participants We identified 8371 patients with newly diagnosed atopic dermatitis during 1996–2010. An additional 33 484 controls without atopic dermatitis were randomly identified and frequency matched at a one-to-four ratio. Primary and secondary outcome measure The association between atopic dermatitis and keloid risk was estimated using Cox proportional hazard regression models. Results After adjustment for covariates, the atopic dermatitis patients have a 3.19-fold greater risk of developing keloid compared with the non-atopic dermatitis group (3.19vs1.07 per 1000 person-years, respectively). During the study period, 163 patients with atopic dermatitis and 532 patients without atopic dermatitis developed keloid. Notably, keloid risk increased with severity of atopic dermatitis, particularly in patients with moderate to severe atopic dermatitis. Conclusions Our results indicate that patients with atopic dermatitis had a higher than normal risk of developing keloid and suggest that atopic dermatitis may be an independent risk factor for keloid.
Macaque parvocellular mediodorsal thalamus: dissociable contributions to learning and adaptive decision‐making

Distributed brain networks govern adaptive decision‐making, new learning and rapid updating of information. However, the functional contribution of the rhesus macaque monkey parvocellular nucleus of the mediodorsal thalamus (MDpc) in these key higher cognitive processes remains unknown. This study investigated the impact of MDpc damage in cognition. Preoperatively, animals were trained on an object‐in‐place scene discrimination task that assesses rapid learning of novel information within each session. Bilateral neurotoxic (NMDA and ibotenic acid) MDpc lesions did not impair new learning unless the monkey had also sustained damage to the magnocellular division of the MD (MDmc). Contralateral unilateral MDpc and MDmc damage also impaired new learning, while selective unilateral MDmc damage produced new learning deficits that eventually resolved with repeated testing. In contrast, during food reward (satiety) devaluation, monkeys with either bilateral MDpc damage or combined MDpc and MDmc damage showed attenuated food reward preferences compared to unoperated control monkeys; the selective unilateral MDmc damage left performance intact. Our preliminary results demonstrate selective dissociable roles for the two adjacent nuclei of the primate MD, namely, MDpc, as part of a frontal cortical network, and the MDmc, as part of a frontal‐temporal cortical network, in learning, memory and the cognitive control of behavioural choices after changes in reward value. Moreover, the functional cognitive deficits produced after differing MD damage show that the different subdivisions of the MD thalamus support distributed neural networks to rapidly and fluidly incorporate task‐relevant information, in order to optimise the animals’ ability to receive rewards.
Effects of Leisure‐Time and Transport‐Related Physical Activities on the Risk of Incident and Recurrent Myocardial Infarction and Interaction With Traffic‐Related Air Pollution: A Cohort Study

Background Physical activity enhances the uptake of air pollutants, possibly reducing its beneficial effects. We examined the effects of leisure‐time and transport‐related physical activities on the risk of myocardial infarction (MI), and whether potential benefits on MI are reduced by exposure to traffic‐related air pollution. Methods and Results A group of 57 053 participants (50–65 years of age) from the Danish Diet, Cancer, and Health cohort reported physical activity at baseline (1993–1997) and were linked to registry data on hospital contacts and out‐of‐hospital deaths caused by MI, until December 2015. Nitrogen dioxide levels were estimated at participants’ baseline residences. We used Cox regressions to associate participation in sports, cycling, walking, and gardening with incident and recurrent MI, and tested for interaction by nitrogen dioxide. Of 50 635 participants without MI at baseline, 2936 developed incident MI, and of 1233 participants with MI before baseline, 324 had recurring MI during follow‐up. Mean nitrogen dioxide concentration was 18.7 μg/m3 at baseline (1993–1997). We found inverse statistically significant associations between participation in sports (hazard ratio; 95% confidence interval: 0.85; 0.79–0.92), cycling (0.91; 0.84–0.98), gardening (0.87; 0.80–0.95), and incident MI, while the association with walking was statistically nonsignificant (0.95; 0.83–1.08). Recurrent MI was statistically nonsignificantly inversely associated with cycling (0.80; 0.63–1.02), walking (0.82, 0.57–1.16), and gardening (0.91; 0.71–1.18), and positively with sports (1.06; 0.83–1.35). There was no effect modification of the associations between physical activity and MI by nitrogen dioxide. Conclusions Benefits of physical activity on both the incidence and the recurrence of MI are not reduced by exposure to high levels of air pollution.
Comorbidities in coexisting chronic obstructive pulmonary disease and obstructive sleep apnea - overlap syndrome.

OBJECTIVE Chronic Obstructive Pulmonary Disease (COPD) and Obstructive Sleep Apnea (OSA) are separately associated with several comorbidities. The coexistence of the two diseases, referred to as overlap syndrome, may act as a predisposing factor for a higher prevalence of comorbidities compared to those associated with each disease separately. The objective of the study was to evaluate the relative prevalence of cardiovascular as well as other comorbidities, in patients with the overlap syndrome, as compared to patients that are diagnosed solely with OSA. PATIENTS AND METHODS We examined thirty-eight (38) patients (27 men, 11 women) with coexisting COPD and OSA - overlap syndrome (Group 1) vs. 38 patients with OSA-only (Group 2), matched for sex, age, and Body Mass Index (BMI). All patients underwent pulmonary function tests (PFTs), oximetry and overnight polysomnography and were asked about other coexisting chronic diseases and medications. RESULTS The two groups differed significantly, as expected, in PFTs (Forced Vital Capacity - FVC, p=0.005, Forced Expiratory Volume in 1 s - FEV1, p<0.001) and in daytime oximetry (p=0.007). Three (3) overlap (7.89%) and 9 OSA patients (23.69%) had no other known diseases. All others suffered from 1 - ≥ 4 comorbidities. Overlap patients suffered more often from multiple (≥ 4) comorbidities than OSA-only patients (11, 28.95% vs. 4, 10.52%, respectively). The most common coexisting diseases were hypertension (50% vs. 42.1%), cardiovascular disease (CVD) (44.74% vs. 26.31%), diabetes mellitus (DM) (28.95% vs. 13.16%), dyslipidemia (21.05% vs. 26.31%) and depression (7.89% vs. 13.16%). CONCLUSIONS We conclude that comorbidities, especially cardiovascular, in patients with overlap syndrome are at least as prevalent as in sleep apneic only patients and may contribute to the overall severity and prognosis of the disease.
Predictive Factors for Survival in Children Receiving Liver Transplants for Wilson’s Disease: A Cohort Study Using European Liver Transplant Registry Data

Liver transplantation (LT) is a rescue therapy for life‐threatening complications of Wilson’s disease (WD). However, data on the outcome of WD patients after LT are scarce. The aim of our study was to analyze a large pediatric WD cohort with the aim of investigating the longterm outcome of pediatric WD patients after LT and to identify predictive factors for patient and transplant survival. This is a retrospective cohort study using data of all children (<18 years) transplanted for WD enrolled in the European Liver Transplant Registry from January 1968 until December 2013. In total, 338 patients (57.6% female) transplanted at 80 different European centers (1‐26 patients per center) were included in this study. The median age at transplantation was 14.0 years (interquartile range [IQR], 11.2‐16.1 years); patients were followed up for a median of 5.4 years (IQR, 1.0‐10.9 years) after LT. Overall patient survival rates were high with 87% (1‐year survival), 84% (5‐year survival), and 81% (10‐year survival); survival rates increased considerably with the calendar year (P < 0.001). Early age at LT, living donation, and histidine tryptophan ketoglutarate preservation liquid were identified as risk factors for poor patient survival in the multivariate analysis. LT is an excellent treatment option for pediatric patients with WD and associated end‐stage liver disease. Longterm outcome in these patients is similar to other pediatric causes for LT. Overall patient and graft survival rates improved considerably over the last decades. To improve future research in the field, the vast variability of allocation strategies should be harmonized and a generally accepted definition or discrimination of acute versus chronic WD needs to be found.
Importance of miRNA stability and alternative primary miRNA isoforms in gene regulation during Drosophila development

Mature microRNAs (miRNAs) are processed from primary transcripts (pri-miRNAs), and their expression is controlled at transcriptional and post-transcriptional levels. However, how regulation at multiple levels achieves precise control remains elusive. Using published and new datasets, we profile a time course of mature and pri-miRNAs in Drosophila embryos and reveal the dynamics of miRNA production and degradation as well as dynamic changes in pri-miRNA isoform selection. We found that 5’ nucleotides influence stability of mature miRNAs. Furthermore, distinct half-lives of miRNAs from the mir-309 cluster shape their temporal expression patterns, and the importance of rapid degradation of the miRNAs in gene regulation is detected as distinct evolutionary signatures at the target sites in the transcriptome. Finally, we show that rapid degradation of miR-3/–309 may be important for regulation of the planar cell polarity pathway component Vang. Altogether, the results suggest that complex mechanisms regulate miRNA expression to support normal development.
Predictive Value of Epileptiform Discharges for Subsequent Epilepsy After Febrile Seizures

The predictive value of epileptiform discharges for subsequent epilepsy after febrile seizures was studied in 140 children: 72 children (51%) had simple febrile seizures and 68 children (49%) had complex febrile seizures. Electroencephalography (EEG) was performed in 103 children (74%), it was normal in 66 (47%) and with epileptiform patterns in 37 patients (26%). At follow-up in 2017, 10 children developed epilepsy, 1 had a single epileptic seizure, 9 of them had epileptiform EEGs. Of the patients with normal EEGs after complex febrile seizures, none developed epilepsy, and 92% of patients with normal EEGs after recurrent febrile seizures did not develop epilepsy. Therefore, patients with normal EEGs were unlikely to develop epilepsy. Fifteen percent of patients with complex and 31% of patients with recurrent febrile seizures and epileptiform EEGs developed epileptic seizures. The positive predictive value of epileptiform discharges was low in complex and twice as high in recurrent febrile seizures.
Different prevalence and clinical outcome of Epstein-Barr virus positive diffuse large B-cell lymphoma between North American and non-Western populations.

Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma among adults, presenting heterogeneous biological and clinical features. The 2008 World Health Organization (WHO) classification of Epstein-Barr virus positive (EBV+) DLBCL of the elderly is limited to patients >50 years old without known immunodeficiency. The WHO classification was revised in 2016 to include immunocompetent patients of all ages and “EBV+ DLBCL of the elderly” has been replaced by “EBV+ DLBCL, not otherwise specified (EBV+ DLBCL, NOS)” (1). There are two key words differentiating EBV+ DLBCL, NOS from another lymphoma, “EBV+” and “immunocompetent”.
A practical guide to understanding, using and including patient reported outcomes in clinical trials in ovarian cancer

Health related quality of life (HRQOL) is a key priority for patients with ovarian cancer as there is significant morbidity associated with the disease and the treatment. It is therefore essential to include measures of HRQOL and patient reported outcomes (PROs) in all clinical trials and ideally report them in the initial manuscript. The results of these analyses help interpret the primary trial endpoints which are typically progression free survival and overall survival from the perspective of the patients, but can also assist with regulatory approval of new drugs and inform future patients regarding the potential benefits and downsides of the treatment as well as help support clinical recommendations. Including PROs in clinical trials allows patient-defined clinical benefits to be assessed in parallel to traditional survival outcomes to provide a more holistic overview and aid in the interpretation of the trial results. Given the importance of these instruments in clinical trials, greater effort is required to improve the appropriate inclusion, quality of analyses and reporting of PROs. It is also essential that all clinicians understand the intricacies of the selection, implementation and interpretation of these measures of HRQOL and PRO's and how important their contribution is to clinical trials as well as clinical practice. This review is a practical guide for clinicians to gain a better understanding of PROs and how they can be incorporated into ovarian cancer trials.