Miracle-dz/UniFAR-FTUs huggingface dataset:
Hygiene of venepuncture tourniquets in Denmark

Abstract Tourniquets are widely used to make the vein more visible prior to blood collection. Venepuncture tourniquets are however a non-sterile and potentially reusable equipment. Several studies have shown that they are colonised by a variety of pathogenic bacteria and consecutively use of the same tourniquet on multiple patients will increase the risk of a nosocomial infection. This matter is however only scarcely studied. The objective of this study was to investigate the nationwide use of disposable and non-disposable venepuncture tourniquets and the standardised procedures for cleaning the tourniquets. A questionnaire concerning use and cleaning of tourniquets was therefore sent to all major Danish clinical biochemistry laboratories (n = 12). All but one laboratory had a local procedure for usage and handling of tourniquets, including structured procedures for cleaning. Despite this, only 75% of laboratories had a guideline for cleaning the tourniquets and only 50% had a specified cleaning program. At the hospitals using non-disposable tourniquets the handling differed considerably and at two hospitals the tourniquets were only cleaned once a week, while one laboratory did not clean the tourniquet before it was visibly stained. Of note, five of the eight hospitals using disposable tourniquets only disposed the tourniquets on a daily basis. In conclusion, there is a lack of guidelines for handling tourniquets in 25–33% of the hospitals and a number of hospitals used both types (disposable and non-disposable), which could confuse the handling of the tourniquets. A national guideline for usage and cleaning of venepuncture tourniquets is therefore strongly recommended.
Historical biogeography and phylogeny of the pantropical Psychotrieae alliance (Rubiaceae), with particular emphasis on the Western Indian Ocean Region.

PREMISE OF THE STUDY The Western Indian Ocean Region (WIOR) is a biodiversity hotspot providing an ideal setting for exploring the origins of insular biodiversity and dynamics of island colonization. We aimed to investigate the origins of the WIOR Psychotrieae alliance (Rubiaceae) with typically small, probably mainly bird-dispersed drupes, and the timing and direction or sequence of its colonization events in the region. METHODS We used the program BEAST to estimate divergence times and Lagrange for biogeographic reconstruction. KEY RESULTS The alliance has reached the WIOR at least 14 times via dispersals from Africa along with Asia and the Pacific mostly during the last 10 My, with at least one back-colonization to Africa. We inferred the earliest dispersal to Madagascar from the Pacific or Asia in the Miocene and numerous out-of-Madagascar dispersals to the nearby archipelagos but no dispersal out of those archipelagos. Gynochthodes with multiple fruits reached Madagascar twice from the Pacific possibly via ocean drifting. Psychotria with dry fruits (schizocarps) colonized Madagascar from the Pacific or Asia before reaching the Comoros from Madagascar possibly via wind dispersal. CONCLUSIONS This study reinforces the pivotal role of dispersal in shaping the WIOR biodiversity and as the critical initiating step in the generation of endemic biodiversity on its islands. The WIOR alliance shows strong Asian and Pacific affinities despite the proximity of the region to Africa. Madagascar has served as a stepping-stone for subsequent dispersal to the rest of the region. The Afro-Malagasy-Seychelles genus Craterispermum and the Malagasy Puffia may represent relictual lineages.
Factors affecting musculoskeletal disorder prevalence among women weavers working with handlooms in Samarinda, Indonesia

A cross-sectional study was conducted on 40 women weavers of Samarinda sarongs to identify the prevalence and risk factors of musculoskeletal disorders (MSDs). A Nordic body map, rapid upper limb assessment and anthropometric tools were used to plot the MSD severity, work posture and anthropometric dimensions of the weavers, respectively. The age, education background, working period and prolonged sitting position distributions of the weavers were collected by direct interview. Pearson's product-moment correlation was applied to identify correlations between the MSD prevalence and other parameters. An MSD prevalence of 80.5% was found among the women weavers, with the MSDs categorized as low, moderate and high in 15.0, 75.0 and 7.5% of the respondents, respectively. The MSD prevalence was significantly correlated with education background (p = 0.025), working period (p = 0.015), prolonged sitting hours (p = 0.032), work posture (p < 0.001) and weavers’ anthropometry (p < 0.001).
A Sequential Mixed-Mode Experiment in the U.S. National Monitoring the Future Study

Abstract The national Monitoring the Future (MTF) study examines substance use among adolescents and adults in the United States and has used paper questionnaires since it began in 1975. The current experiment tested three conditions as compared to the standard MTF follow-up protocol (i.e., MTF Control) for the first MTF follow-up survey at ages 19/20 years (i.e., one or two years after high school graduation). The MTF Control group included participants who completed in-school baseline surveys in the 12th grade in 2012–2013 and who were selected to participate in the first follow-up survey in 2014 (n = 2,451). A supplementary sample of participants who completed the 12th grade baseline survey in 2012 or 2013 but were not selected to participate in the main MTF follow-up (n = 4,950) were recruited and randomly assigned to one of three experimental conditions: (1) Mail Push, (2) Web Push, (3) Web Push + E-mail. Results indicated that the overall response rate was lower in Condition 2 compared to MTF Control and to Condition 1; there were no differences between Condition 3 and other conditions. Web response was highest in Condition 3; among web responders, smartphone response was also highest in Condition 3. Subgroup differences also emerged such that, for example, compared to white participants, Hispanics had greater odds of web (versus paper) response and blacks had greater odds of smartphone (versus computer or tablet) response. Item nonresponse was lowest in the Web Push conditions (compared to MTF Control) and on the web survey (compared to paper). Compared to MTF Control, Condition 3 respondents reported higher rates of alcohol use in the past 30 days. The total cost was lowest for Condition 3. Overall, the Condition 3 Web Push + E-mail design is promising. Future research is needed to continue to examine the implications of web and mobile response in large, national surveys.
The Early Facilitative and Late Contextual Specific Effect of the Color Red on Attentional Processing

Many studies have proved that color represents a variety of emotionally meaningful information. Researchers have proposed that context information endows colors with different associated meanings, and elicits corresponding behavior. Others have contended that the color red intensifies the stimulus’ existing valence or motivation tendency in the early processing step. The present study attempts to incorporate these two effects of the color red to explore their differences in a dot probe task, using event-related potential (ERP). Our ERP results indicate that the color red intensifies the initial attention to emotion-congruent conditions, as indicated by the P1 component. However, the colors red and green lead to sustained attention to the expression of anger and happiness, respectively, but not fear, as shown by the late positive complex component (all results are available at: https://osf.io/k3b8c/). This study found the different processing stages of the effect of the color red during attentional processing in a discrete emotional context, using ERPs, and may refine the Color-in-Context theory.
An Evaluation of Interrater Reliability Measures on Binary Tasks Using d-Prime

Many indices of interrater agreement on binary tasks have been proposed to assess reliability, but none has escaped criticism. In a series of Monte Carlo simulations, five such indices were evaluated using d-prime, an unbiased indicator of raters’ ability to distinguish between the true presence or absence of the characteristic being judged. Phi and, to a lesser extent, Kappa coefficients performed best across variations in characteristic prevalence, and raters’ expertise and bias. Correlations with d-prime for Percentage Agreement, Scott’s Pi, and Gwet’s AC1 were markedly lower. In situations where two raters make a series of binary judgments, the findings suggest that researchers should choose Phi or Kappa to assess interrater agreement as the superiority of these indices was least influenced by variations in the decision environment and characteristics of the decision makers.
Direct observation and control of magnetic monopole defects in an artificial spin-ice material

Magnetic monopoles have stimulated a great amount of theoretical and experimental interest since their prediction by Dirac in 1931. To date, their presence has evaded detection in high energy experiments despite intensive efforts. Recently, entities that mimic magnetic monopoles have been observed in bulk and planar frustrated materials known as spin-ice materials, and artificial spin-ice materials, respectively. In this paper we discuss the formation of these so-called monopole defects within a cobalt honeycomb artificial spin-ice lattice. Experimental results and micromagnetic simulations show that monopole defects of opposite sign are created at the boundaries of the lattice, and move in opposing directions. Discrepancies between simulations and experimental results demonstrate the importance of quenched disorder. Furthermore, we show that controlled edge nucleated monopole defect formation can be realized with the use of soft magnetic injection pads, which is a very promising development for technological applications based upon magnetic charge.
Cooperative and Competitive Contextual Effects on Social Cognitive and Empathic Neural Responses

We aimed to differentiate the neural responses to cooperative and competitive contexts, which are the two of the most important social contexts in human society. Healthy male college students were asked to complete a Tetris-like task requiring mental rotation skills under individual, cooperative, and competitive contexts in an fMRI scanner. While the participants completed the task, pictures of others experiencing pain evoking emotional empathy randomly appeared to capture contextual effects on empathic neural responses. Behavioral results indicated that, in the presence of cooperation, participants solved the tasks more accurately and quickly than what they did when in the presence of competition. The fMRI results revealed activations in the dorsolateral prefrontal cortex (dlPFC) and dorsomedial prefrontal cortex (dmPFC) related to executive functions and theory of mind when participants performed the task under both cooperative and competitive contexts, whereas no activation of such areas was observed in the individual context. Cooperation condition exhibited stronger neural responses in the ventromedial prefrontal cortex (vmPFC) and dmPFC than competition condition. Competition condition, however, showed marginal neural responses in the cerebellum and anterior insular cortex (AIC). The two social contexts involved stronger empathic neural responses to other’s pain than the individual context, but no substantial differences between cooperation and competition were present. Regions of interest analyses revealed that individual’s trait empathy modulated the neural activity in the state empathy network, the AIC, and the dorsal anterior cingulate cortex (dACC) depending on the social context. These results suggest that cooperation improves task performance and activates neural responses associated with reward and mentalizing. Furthermore, the interaction between trait- and state-empathy was explored by correlation analyses between individual’s trait empathy score and changing empathic brain activations along with the exposure to the cooperative and competitive social contexts.
Combined SOM-portrayal of gene expression and DNA methylation landscapes disentangles modes of epigenetic regulation in glioblastoma.

AIM We present here a novel method that enables unraveling the interplay between gene expression and DNA methylation in complex diseases such as cancer. MATERIALS & METHODS The method is based on self-organizing maps and allows for analysis of data landscapes from 'governed by methylation' to 'governed by expression'. RESULTS We identified regulatory modules of coexpressed and comethylated genes in high-grade gliomas: two modes are governed by genes hypermethylated and underexpressed in IDH-mutated cases, while two other modes reflect immune and stromal signatures in the classical and mesenchymal subtypes. A fifth mode with proneural characteristics comprises genes of repressed and poised chromatin states active in healthy brain. Two additional modes enrich genes either in active or repressed chromatin states. CONCLUSION The method disentangles the interplay between gene expression and methylation. It has the potential to integrate also mutation and copy number data and to apply to large sample cohorts.
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking

The new developments in deep generative networks have significantly improve the quality and efficiency in generating realistically-looking fake face videos. In this work, we describe a new method to expose fake face videos generated with neural networks. Our method is based on detection of eye blinking in the videos, which is a physiological signal that is not well presented in the synthesized fake videos. Our method is tested over benchmarks of eye-blinking detection datasets and also show promising performance on detecting videos generated with DeepFake.
Heavy metal accumulation in the leaves, stem and root of the invasive submerged macrophyte Myriophyllum spicatum L. (Haloragaceae): an example of Kadin Creek (Mugla, Turkey)

ABSTRACT In this study, the existence of heavy metals such as chromium (Cr), arsenic (As), cadmium (Cd), mercury (Hg) and lead (Pb) their distribution in the organs of plant and their bioaccumulation rates in water samples and Myriophyllum spicatum which were collected from the Kadin Creek in seasonal periods between 2011 and 2012 were analyzed. Heavy metal concentrations in the mineralized plant and water samples were determined with Inductive coupled plasma with mass spectroscopy (ICP-MS). Results showed the maximum heavy metal concentrations, in the root and minimum heavy metal concentrations, except chromium, in the stem. The distribution of heavy metals As, Cd, Hg and Pb was in the form of root > leaf > stem; the distribution of Cr was in the root > stem > leaf. There was a strong negative correlation between the suspended solid matter and heavy metal concentrations in the plant tissues. Heavy metal accumulation showed increase generally in fall. Heavy metals in the water were sorted as Pb > Cr > As > Hg > Cd by their mean concentrations. According to the factor data of bioconcentration, the order of heavy metal accumulation in the plant was As > Cr > Pb > Hg > Cd. Key words: Heavy metals, Myriophyllum spicatum , Kadin Creek.
The Effects of Vignette Scoring on Reliability and Validity of Self-Reports

The research presented in this article combines mathematical derivations and empirical results to investigate effects of the nonparametric anchoring vignette approach proposed by King, Murray, Salomon, and Tandon on the reliability and validity of rating data. The anchoring vignette approach aims to correct rating data for response styles to improve comparability across individuals and groups. Vignettes are used to adjust self-assessment responses on the respondent level but entail significant assumptions: They are supposed to be invariant across respondents, and the responses to vignette prompts are supposed to be without error and strictly ordered. This article shows that these assumptions are not always met and that the anchoring vignette approach leads to higher Cronbach’s alpha values and increased correlations among adjusted variables regardless of whether the assumptions of the approach are met or violated. Results suggest that the underlying assumptions and effects of the anchoring vignette approach should be carefully examined as the increased correlations and reliability estimates can be observed even for response variables that are independent random draws and uncorrelated with any other variable.
The Prevalence of Methamphetamine Dependence among Iranian Women in Methadone Maintenance Therapy in Tehran, Iran

Objective: To date, there has been no specific survey of the prevalence of methamphetamine (MA) dependence among Iranian women in methadone maintenance therapy (MMT). The current study aimed at addressing this critical gap in the literature. Method : This study was part of a larger cross-sectional survey, which was conducted in 36 MMT clinics in Tehran during 2015 and 2016. A researcher-designed questionnaire was devised to collect data on demographics and drug and treatment characteristics. Data were analyzed using SPSS Version 19. Results: Overall, 307 women were in the study sites. Of them, 275 were MA dependent (89.5%) while in MMT. The mean age of the participants, who were MA-dependent, was 38 years. Age of MA dependence was 30 years, and duration of MA dependence was 7years. However, only 24.3% of the participants were currently in MA treatment (i.e. Matrix Model). This was accompanied with high rates of psychiatric hospitalization (29.4%), anxiety (33.4%), and depression (50.9%) because of long years of untreated MA dependence. Conclusion: The study revealed a high prevalence of untreated MA dependence and its adverse health impacts among the participants. However, no considerable treatment for MA dependence had been received by the participants. Psychosocial treatments should address MA dependence in MMT in Iran.
Revisiting the Importance of Individual Units in CNNs via Ablation

We revisit the importance of the individual units in Convolutional Neural Networks (CNNs) for visual recognition. By conducting unit ablation experiments on CNNs trained on large scale image datasets, we demonstrate that, though ablating any individual unit does not hurt overall classification accuracy, it does lead to significant damage on the accuracy of specific classes. This result shows that an individual unit is specialized to encode information relevant to a subset of classes. We compute the correlation between the accuracy drop under unit ablation and various attributes of an individual unit such as class selectivity and weight L1 norm. We confirm that unit attributes such as class selectivity are a poor predictor for impact on overall accuracy as found previously in recent work \cite{morcos2018importance}. However, our results show that class selectivity along with other attributes are good predictors of the importance of one unit to individual classes. We evaluate the impact of random rotation, batch normalization, and dropout to the importance of units to specific classes. Our results show that units with high selectivity play an important role in network classification power at the individual class level. Understanding and interpreting the behavior of these units is necessary and meaningful.
Real‐life effectiveness of biological drugs on psoriatic difficult‐to‐treat body regions: scalp, palmoplantar area and lower limbs

Psoriasis is a chronic, inflammatory disease, often requiring long term therapy. Scalp, nails, palms, and soles have been labeled as "difficult locations" of psoriasis. Indeed, they are usually too sensitive to be treated with potent topical products for long periods, frequently necessitating systemic drugs, possibly are more resistant to therapies respect to other body sites, and tend to show recurrent disease relapse. This article is protected by copyright. All rights reserved.
The macroeconomic consequences of carry trade gone wrong and borrower protection

Emerging Europe enjoyed massive capital inflows prior to the Great Financial Crisis, but these came to a sudden stop in 2008. This rapid reversal of fortunes created a major macroeconomic slowdown across the region. Moreover, accumulated debt and especially foreign currency debt became the undesirable legacy of these credit inflows. How countries in Emerging Europe coped with foreign currency debt during the ensuing recession and whether they could have done better is the main topic of this thesis. In contrast to the traditional approach, the thesis pays attention to household borrowing in addition to corporate borrowing, because households often borrowed in foreign currency even more actively than businesses. The thesis develops a model to account for corporate debt overhang in line with the finance literature (Merton (1974)) and uses calibration and Bayesian estimation techniques to make the model represent the sharp depreciation episode in Hungary in 2009. Using this model, the thesis shows that insulating corporate borrowers from exchange rate risk and landing losses to banks results in better macroeconomic outcomes. However, foreign currency mortgages to households generate less recessionary outcomes than currency mismatch in the banking sector. Finally, the thesis focuses on the macroeconomic implications of household bankruptcy, regardless of currency denomination. It shows that increasing borrower protection, namely decreasing lender recourse, brings ex-ante macroeconomic and welfare benefits.
Beyond the limbic system: disruption and functional compensation of large-scale brain networks in patients with anti-LGI1 encephalitis

Objective Hippocampal inflammation in anti-LGI1 encephalitis causes memory deficits, seizures and behavioural abnormalities. Recent findings suggest that extralimbic brain areas are additionally affected and that patients also suffer from non-limbic cognitive symptoms. Moreover, up to 60% of patients show no structural MRI abnormalities in the acute disease stage. We therefore investigated whether functional connectivity analyses can identify brain network changes underlying disease-related symptoms. Methods We studied 27 patients and a matched healthy control group using structural and functional MRI. Intrinsic functional networks were analysed using Independent Component Analysis and Dual Regression. Cognitive testing covered working memory, episodic memory, attention and executive function. Results Our analysis revealed functional connectivity alterations in several large-scale networks, including the default mode network (DMN) which showed an aberrant structure-function relationship with the damaged hippocampus. In addition, connectivity in the sensorimotor, salience and higher visual networks was impaired independent of hippocampal damage. Increased connectivity in ventral and dorsal DMN regions significantly correlated with better memory performance. In contrast, stronger connectivity of the insula with the salience network and DMN was linked to impaired memory function. Conclusions Anti-LGI1 encephalitis is associated with a characteristic pattern of widespread functional network alterations. Increased DMN connectivity seems to represent a compensatory mechanism for memory impairment induced by hippocampal damage. Network analyses may provide a key to the understanding of clinical symptoms in autoimmune encephalitis and reveal changes of brain function beyond apparent structural damage.