Miracle-dz/UniFAR-FTUs huggingface dataset:
Association Between Blood Lipid Profiles and Atrial Fibrillation: A Case-Control Study

Background Dyslipidemia is the most frequent comorbidity in patients with cardiovascular disease. However, studies examining the relationship between blood lipid profiles and AF have produced inconsistent results. Material/Methods A total of 651 patients were enrolled into 3 groups: Healthy controls (n=64), Paroxysmal AF (PAF; n=270), and Continuous AF (CAF; n=317). All enrolled patients underwent routine baseline 12-lead electrocardiography (ECG) and 24-h dynamic ECG along with blood testing, which included the following: complete metabolic panel, hepatic function, renal function, circulating thyroxine, fasting high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and total cholesterol (TC). Results Patients with AF had significantly higher levels of triglycerides (TG), lower levels of LDL-C-c, and lower levels of HDL-C (p<0.05). TC (OR 0.979, p<0.9247) and TG (OR 0.945, p<0.6496) were negatively and linearly associated with PAF, while TG (OR 0.807, p=0.2042), LDL-C (OR 0.334, p=0.0036), and HDL-C (OR 0.136, p=0.0002) were negatively and linearly associated with CAF. Conclusions Compared to healthy controls, patients with AF had lower blood lipid levels, especially LDL-c and HDL-c levels. Hypolipoproteinemia may increase patient susceptibility to developing AF.
Dynamics Matter: Recognition of Reward, Affiliative, and Dominance Smiles From Dynamic vs. Static Displays

Smiles are distinct and easily recognizable facial expressions, yet they markedly differ in their meanings. According to a recent theoretical account, smiles can be classified based on three fundamental social functions which they serve: expressing positive affect and rewarding self and others (reward smile), creating and maintaining social bonds (affiliative smile), and negotiating social status (dominance smiles) (Niedenthal et al., 2010; Martin et al., 2017). While there is evidence for distinct morphological features of these smiles, their categorization only starts to be investigated in human faces. Moreover, the factors influencing this process – such as facial mimicry or display mode – remain yet unknown. In the present study, we examine the recognition of reward, affiliative, and dominance smiles in static and dynamic portrayals, and explore how interfering with facial mimicry affects such classification. Participants (N = 190) were presented with either static or dynamic displays of the three smile types, whilst their ability to mimic was free or restricted via a pen-in-mouth procedure. For each stimulus they rated the extent to which the expression represents a reward, an affiliative, or a dominance smile. Higher than chance accuracy rates revealed that participants were generally able to differentiate between the three smile types. In line with our predictions, recognition performance was lower in the static than dynamic condition, but this difference was only significant for affiliative smiles. No significant effects of facial muscle restriction were observed, suggesting that the ability to mimic might not be necessary for the distinction between the three functional smiles. Together, our findings support previous evidence on reward, affiliative, and dominance smiles by documenting their perceptual distinctiveness. They also replicate extant observations on the dynamic advantage in expression perception and suggest that this effect may be especially pronounced in the case of ambiguous facial expressions, such as affiliative smiles.
Who are they looking at? Automatic Eye Gaze Following for Classroom Observation Video Analysis

We develop an end-to-end neural network-based computer vision system to automatically identify where each person within a 2-D image of a school classroom is looking (“gaze following”), as well as who she/he is looking at. Automatic gaze following could help facilitate data-mining of large datasets of classroom observation videos that are collected routinely in schools around the world in order to understand social interactions between teachers and students. Our network is based on the architecture by [27] but is extended to predict whether each person is looking at a target inside or outside the image; and to predict not only where, but who the person is looking at. Moreover, since our focus is on classroom observation videos, we collected a dataset from scratch of publicly available classroom sessions from 70 YouTube videos and collected labels from 408 labelers who annotated a total of 17 , 758 gazes in 2 , 263 unique image frames. Results of our experiments indicate that the proposed neural network can estimate the gaze target – either the spatial location or the face of a person – with substantially higher accuracy compared to several baselines.
On Minimal Sets to Destroy the k-Core in Random Networks

We study the problem of finding the smallest set of nodes in a network whose removal results in an empty k-core, where the k-core is the subnetwork obtained after the iterative removal of all nodes of degree smaller than k. This problem is also known in the literature as finding the minimal contagious set. The main contribution of our work is an analysis of the performance of the recently introduced corehd algorithm [Zdeborová, Zhang, and Zhou, Sci. Rep. 6, 37954 (2016)10.1038/srep37954] on random graphs taken from the configuration model via a set of deterministic differential equations. Our analyses provide upper bounds on the size of the minimal contagious set that improve over previously known bounds. Our second contribution is a heuristic called the weak-neighbor algorithm that outperforms all currently known local methods in the regimes considered.
Azadirachtin from the neem tree Azadirachta indica: its action against insects

The neem tree has long been recognized for its unique properties both against insects and in improving human health. It is grown in most tropical and sub-tropical areas of the world for shade, reforestation and for the production of row material for natural insecticides and medicines. Azadirachtin, a complex tetranortriterpenoid limonoid from the neem seeds, is the main component responsible for the toxic effects in insects. Six international conferences on neem and a vast scientific literature report both the antifeedant and physiological effects of neem. This article reviews the behavioral and physiological properties of azadirachtin, including effects on insect reproduction, direct and "secondary" antifeedancy, and the physiological effects measured as growth reduction, increased mortality and abnormal and delayed moults. These effects are here categorized in two ways: direct effects on cells and tissues and indirect effects exerted via the endocrine system. It also describes the work carried out to date to identify the mode of action of azadirachtin at the cellular level. The differential effects between animal phyla and over non-target organisms are discussed and point to its potential success as a safe insecticide.
Direct Optimization through arg max for Discrete Variational Auto-Encoder

Reparameterization of variational auto-encoders with continuous random variables is an effective method for reducing the variance of their gradient estimates. In the discrete case, one can perform reparametrization using the Gumbel-Max trick, but the resulting objective relies on an arg max operation and is non-differentiable. In contrast to previous works which resort to softmax -based relaxations, we propose to optimize it directly by applying the direct loss minimization approach. Our proposal extends naturally to structured discrete latent variable models when evaluating the arg max operation is tractable. We demonstrate empirically the effectiveness of the direct loss minimization technique in variational autoencoders with both unstructured and structured discrete latent variables
Understanding the experience of compensatory and restorative memory rehabilitation: A qualitative study of stroke survivors

ABSTRACT Memory impairment is common following stroke. Memory skills groups (MSGs) utilising compensatory strategies and computerised cognitive training (CCT) are two rehabilitation approaches available to improve memory function; however, there is no consensus as to which is more effective following stroke. This study aimed to explore and contrast the qualitative experiences of 20 stroke survivors (Mage = 61.90, SD = 10.48, range: 34–77 years) who received six weeks’ training in MSG (manualised memory skills group, n = 10) or individual-CCT (LumosityTM, n = 10). Using semi-structured interviews, data were collected and analysed thematically, adopting a critical realist approach. Six themes were identified: (1) Facilitators and barriers to intervention engagement, (2) Improving knowledge and understanding, (3) Connecting with others, (4) Perception of the intervention, (5) Impact on everyday memory and (6) Impact on emotions and sense of purpose. Encouragingly, most participants valued and enjoyed participating in the memory interventions, irrespective of rehabilitation approach. MSG participants reported learning and sharing with similar others as important to the experience and described everyday memory improvements. CCT participants described enjoyment of its game-like nature, yet reported frustration associated with game-specific characteristics, and did not report everyday memory improvements.
Accuracy, reproducibility and costs of different laboratory assays for the monitoring of unfractionated heparin in clinical practice: a prospective evaluation study and survey among Swiss institutions

Objectives To investigate the accuracy, reproducibility and costs of different laboratory assays for the monitoring of unfractionated heparin (UFH) in clinical practice and to study test utilisation in Switzerland. Design Prospective evaluation study and survey among Swiss hospitals and laboratories. Setting Secondary care hospital in rural Switzerland (evaluation study); all Swiss hospitals and laboratories (survey). Participants All consecutive patients, monitored for treatment with UFH during two time periods, were included (May to July 2014 and January to February 2015; n=254). Outcome measures Results of activated partial thromboplastin time (aPTT), thrombin time (TT), prothrombinase-induced clotting time (PiCT) and anti-Xa activity with respect to UFH concentration Results Spearman’s correlation coefficient (rs) with regard to anti-Xa activity was 0.68 (95% CI 0.60 to 0.75) for aPTT, 0.79 (0.69 to 0.86) for TT and 0.94 (0.93 to 0.95) for PiCT. The correlation (rs) between anti-Xa activity and heparin concentration as determined by spiking plasma samples was 1.0 (1.0 to 1.0). The coefficient of variation was at most 5% for PiCT and anti-Xa activity (within-run as well as day-to-day variability). The total costs per test in Swiss Francs (SFr) were SFr23.40 for aPTT, SFr33.30 for TT, SFr15.70 for PiCT and SFr24.15 for anti-Xa activity. The various tests were employed in Swiss institutions with the following frequencies: aPTT 53.2%, TT 21.6%, anti-Xa activity 7.2%, PiCT 1.4%; 16.6% of hospitals performed more than one test. Conclusions The accuracy and reproducibility of PiCT and anti-Xa activity for monitoring of UFH was superior, and analytical costs were equivalent to or lower than aPTT and TT.
Non-Local Recurrent Network for Image Restoration

Many classic methods have shown non-local self-similarity in natural images to be an effective prior for image restoration. However, it remains unclear and challenging to make use of this intrinsic property via deep networks. In this paper, we propose a non-local recurrent network (NLRN) as the first attempt to incorporate non-local operations into a recurrent neural network (RNN) for image restoration. The main contributions of this work are: (1) Unlike existing methods that measure self-similarity in an isolated manner, the proposed non-local module can be flexibly integrated into existing deep networks for end-to-end training to capture deep feature correlation between each location and its neighborhood. (2) We fully employ the RNN structure for its parameter efficiency and allow deep feature correlation to be propagated along adjacent recurrent states. This new design boosts robustness against inaccurate correlation estimation due to severely degraded images. (3) We show that it is essential to maintain a confined neighborhood for computing deep feature correlation given degraded images. This is in contrast to existing practice that deploys the whole image. Extensive experiments on both image denoising and super-resolution tasks are conducted. Thanks to the recurrent non-local operations and correlation propagation, the proposed NLRN achieves superior results to state-of-the-art methods with much fewer parameters.
Sleep Disturbance and the Risk of Cognitive Decline or Clinical Conversion in the ADNI Cohort

Background: We investigated the relationship between sleep disturbance and cognitive decline or clinical conversion in individuals with normal cognition (CN), as well as those with mild cognitive impairment (MCI) and dementia due to Alzheimer disease (AD-dementia). Methods: Secondary analysis of 1,629 adults between 48 and 91 years of age with up to 24 months of follow-up from the ADNI (Alzheimer’s Disease Neuroimaging Initiative), a longitudinal cohort study. Results: Sleep disturbance was not associated with decline in memory, executive function, or global cognition. The presence of sleep disturbance did not significantly increase the risk of diagnostic conversion in CN, early MCI, or late MCI participants. Conclusion: This study investigated the effect of sleep disturbance on cognitive decline using several outcomes and does not support the hypothesis that sleep disturbance predicts subsequent cognitive decline.
Factores determinantes del crecimiento en la pyme canaria: influencia del tamaño, la edad y el sector de actividad

espanolEl crecimiento empresarial, con ser uno de los temas mas estudiados desde diferentes ambitos de la ciencia economica, no cuenta en estos momentos con una teoria general ni con una definicion conceptual generalmente aceptada. A pesar de ello, el crecimiento se ha considerado habitualmente como un objetivo basico para la empresa, que contribuye a su supervivencia y competitividad. El objetivo de esta investigacion es profundizar en los factores condicionantes del crecimiento de las pequenas y medianas empresas, aportando alguna evidencia empirica que contribuya a su modelizacion. EnglishThe firm growth, being one of the most studied subjects from different scopes of economic science, does not count, at the moment, on a general theory, neither with a generally accepted conceptual definition. Nevertheless, growth appears as a necessary strategy to maintain the firm survival and and competitiveness in the long term. The aim of this paper is to deepen in the growth conditioners factors in the small and medium companies, providing some empirical evidence that contributes develop a growth model.
Competition Policy and Cartel Size

This article examines endogenous cartel formation in the presence of a competition authority. Competition policy is shown to make the most inclusive stable cartels less inclusive. In particular, small firms that might have been cartel members in the absence of a competition authority are no longer members. Regarding the least inclusive stable cartels, competition policy can either decrease or increase their size and, in the latter case, the collusive price can rise.
A Quest of Anti-Biofilm Activity of Zingiber officinale Root and Coriandrum sativum Seed Extract Against Clinical Isolates of Pseudomonas aeruginosa and Staphylococcus aureus

Biofilm formation by Microbe causes a variety of infections which complicates the antimicrobial therapy. In the present study, the Pseudomonas aeruginosa and Staphylococcus aureus strains have been isolated from the clinical samples and characterized. Zingiber officinale root and Coriandrum sativum seed’s hot and cold extract was prepared in ethanol and water. Visible eye scoring was given to judge anti-biofilm activity. P. aeruginosa in treatment with Zingiber officinale root extract displayed maximum anti-biofilm activity whereas in study with S. aureus, no encouraging results were obtained.
Elevated Nicotinamide Phosphoribosyl Transferase in Skeletal Muscle Augments Exercise Performance and Mitochondrial Respiratory Capacity Following Exercise Training

Mice overexpressing NAMPT in skeletal muscle (NamptTg mice) develop higher exercise endurance and maximal aerobic capacity (VO2max) following voluntary exercise training compared to wild-type (WT) mice. Here, we aimed to investigate the mechanisms underlying by determining skeletal muscle mitochondrial respiratory capacity in NamptTg and WT mice. Body weight and body composition, tissue weight (gastrocnemius, quadriceps, soleus, heart, liver, and epididymal white adipose tissue), skeletal muscle and liver glycogen content, VO2max, skeletal muscle mitochondrial respiratory capacity (measured by high-resolution respirometry), skeletal muscle gene expression (measured by microarray and qPCR), and skeletal muscle protein content (measured by Western blot) were determined following 6 weeks of voluntary exercise training (access to running wheel) in 13-week-old male NamptTg (exercised NamptTg) mice and WT (exercised WT) mice. Daily running distance and running time during the voluntary exercise training protocol were recorded. Daily running distance (p = 0.51) and running time (p = 0.85) were not significantly different between exercised NamptTg mice and exercised WT mice. VO2max was higher in exercised NamptTg mice compared to exercised WT mice (p = 0.02). Body weight (p = 0.92), fat mass (p = 0.49), lean mass (p = 0.91), tissue weight (all p > 0.05), and skeletal muscle (p = 0.72) and liver (p = 0.94) glycogen content were not significantly different between exercised NamptTg mice and exercised WT mice. Complex I oxidative phosphorylation (OXPHOS) respiratory capacity supported by fatty acid substrates (p < 0.01), maximal (complex I+II) OXPHOS respiratory capacity supported by glycolytic (p = 0.02) and fatty acid (p < 0.01) substrates, and maximal uncoupled respiratory capacity supported by fatty acid substrates (p < 0.01) was higher in exercised NamptTg mice compared to exercised WT mice. Transcriptomic analyses revealed differential expression for genes involved in oxidative metabolism in exercised NamptTg mice compared to exercised WT mice, specifically, enrichment for the gene set related to the SIRT3-mediated signaling pathway. SIRT3 protein content correlated with NAMPT protein content (r = 0.61, p = 0.04). In conclusion, NamptTg mice develop higher exercise capacity following voluntary exercise training compared to WT mice, which is paralleled by higher mitochondrial respiratory capacity in skeletal muscle. The changes in SIRT3 targets suggest that these effects are due to remodeling of mitochondrial function.
Simulation Based Comparative Performance Analysis of Mobile Ad Hoc Routing Protocols

Mobile Ad Hoc Network (MANET) is a group of mobile nodes that are dynamically and arbitrarily located in such a manner that the interconnections between nodes are capable of changing on a continual basis. Routing in MANET is very important issue as dynamic topology of MANET makes routing very difficult. This paper shows comparative performance evaluation of two prominent ondemand reactive routing protocols in mobile ad hoc networks: Ad Hoc On-demand Distance Vector (AODV) and Dynamic Source Routing (DSR). Performance is compared on the parameters like Packet delivery ratio i.e. throughput, Average end to end delay and Normalized routing overhead using network simulator-2(NS-2). The general observation of the results indicate that considered protocols react in similar way in low load and low mobility scenarios, but under high mobility DSR outperforms AODV protocol, although DSR and AODV share similar on-demand behavior.
Who attends out-of-hours general practice appointments? Analysis of a patient cohort accessing new out-of-hours units

Objectives This report describes the patients who used additional out-of-hours (OOH) appointments offered through a UK scheme intended to increase patient access to primary care by extending OOH provision. Design Cohort study and survey data. Setting OOH appointments offered in four units in one region in England (October 2015 to November 2016). Methods Unidentifiable data on all patients were abstracted from a bespoke appointment system and the responses to a patient opinion questionnaire about this service. Descriptive analysis of the appointment data was conducted. Multivariate analysis of the opinion survey data examined the characteristics of the patients who would have gone to the emergency department (ED) had the OOH appointments not been available. Results There were 24 448 appointments for 19 701 different patients resulting in 29 629 service outcomes. Women dominated the uptake and patients from the poorest fifth of the population used nearly 40% of appointments. The patient survey found OOH appointments were extremely popular—93% selecting ‘extremely likely’ or ‘likely’ to recommend the service. Multivariate analysis of patient opinion survey data on whether ED would have been an alternative to the OOH service found that men, young children, people of Asian heritage and the most deprived were more likely to have gone to ED without this service. Conclusions The users of the OOH service were substantially different from in-hours service users with a large proportion of children under age 5, and the poor, which support the idea that there may be unmet need as the poor have the least flexible working conditions. These results demonstrate the need for equality impact assessment in planning service improvements associated with policy implementation. It suggests that OOH need to take account of patients expectations about convenience of appointments and how patients use services for urgent care needs.
Mediterranean Diet, Its Components, and Amyloid Imaging Biomarkers.

BACKGROUND There is accumulating evidence suggesting that diet may play a role in preventing or delaying cognitive decline and dementia, but the underlying biological mechanisms are not well understood. OBJECTIVES To examine the cross-sectional associations of the Mediterranean diet (MeDi) and its components with 11C-PiB-PET scan measures of amyloid-β (Aβ) deposition. METHODS The study consisted of 278 Mayo Clinic Study of Aging participants 70+ years old, who were cognitively unimpaired (CU) at the time of completion of the Food Frequency Questionnaire (FFQ) and when they underwent PET imaging. Adherence to the MeDi was assessed by computing the MeDi score for each participant. All scans were performed after the FFQ completion; median [IQR] time between FFQ and Aβ PET was 3.5 (1.4) years. Z-scores were created for component, macro- and micronutrients measured. Linear and logistic regression models were adjusted for age, sex, education, apolipoprotein E (APOE) ɛ4 allele carrier status, time interval between the FFQ completion and PET scan, and total energy intake. RESULTS Participants' median age at FFQ was 77.7 years (55.8% men; 26.6% with an APOE ɛ4 allele). Higher MeDi score (linear regression slope (beta):-0.035, p = 0.012; per standard deviation increase), vegetable intake (beta:-0.043, p = 0.002), intake of vitamin A (beta:-0.041, p = 0.003) or β-carotene (beta: -0.039, p = 0.005) from food sources and moderate alcohol consumption (beta: -0.074, p = 0.03) were associated with lower 11C-PiB standardized uptake value ratio. CONCLUSION Findings are consistent with previous studies suggesting that higher adherence to a MeDi pattern and higher vegetable consumption are associated with better neuroimaging biomarker profile. Prospective studies are needed to validate current findings.