Miracle-dz/UniFAR-FTUs huggingface dataset:
Dysregulation in cortical reactivity to emotional faces in PTSD patients with high dissociation symptoms

Background Predominant dissociation in posttraumatic stress disorder (PTSD) is characterized by restricted affective responses to positive stimuli. To date, no studies have examined neural responses to a range of emotional expressions in PTSD with high dissociative symptoms. Objective This study tested the hypothesis that PTSD patients with high dissociative symptoms will display increased event-related potential (ERP) amplitudes in early components (N1, P1) to threatening faces (angry, fearful), and reduced later ERP amplitudes (Vertex Positive Potential (VPP), P3) to happy faces compared to PTSD patients with low dissociative symptoms. Methods Thirty-nine civilians with PTSD were classified as high dissociative (n=16) or low dissociative (n=23) according to their responses on the Clinician Administered Dissociative States Scale. ERPs were recorded, whilst participants viewed emotional (happy, angry, fear) and neutral facial expressions in a passive viewing task. Results High dissociative PTSD patients displayed significantly increased N120 amplitude to the majority of facial expressions (neutral, happy, and angry) compared to low dissociative PTSD patients under conscious and preconscious conditions. The high dissociative PTSD group had significantly reduced VPP amplitude to happy faces in the conscious condition. Conclusion High dissociative PTSD patients displayed increased early (preconscious) cortical responses to emotional stimuli, and specific reductions to happy facial expressions in later (conscious), face-specific components compared to low dissociative PTSD patients. Dissociation in PTSD may act to increase initial pre-attentive processing of affective stimuli, and specifically reduce cortical reactivity to happy faces when consciously processing these stimuli.
Performance Evaluation of a Vector-Control Fault-Tolerant Flux-Switching Motor Drive

A novel fault-tolerant flux-switching permanent-magnet synchronous machine drive topology is presented, which is able to operate during open- and short-circuit winding and converter faults. The scheme is based on a dual winding motor supplied from two separate vector-controlled voltage-sourced inverter drives. The windings are arranged in a way so as to form two independent and isolated sets. Simulation and experimental work will detail the drive's performance during both healthy and faulty scenarios including short-circuit faults and will show the drive robustness to operate in these conditions.
Socio-demographic and behavioural risk factors associated with the high prevalence of 2 overweight and obesity in Portuguese children 3 4 Authors Names : 5

47 48 Objectives: Childhood obesity is a public health concern in Portugal. Socio-demographic and 49 behavioural factors are highly associated with obesity but are not clearly understood. This paper 50 aims to update the prevalence of overweight and obesity in Portuguese children and to explore 51 the influence and risks of socio-demographic factors and behavioural factors. 52 53 Methods: A cross-sectional study of Portuguese children aged 3-10 years from all 18 mainland 54 districts took place between March 2009 and January 2010. 17,136 (8455 boys; 8681 girls). 55 Height, weight and other anthropometric measurements were obtained by trained technicians. 56 Body Mass Index (BMI) was calculated along with other anthropometric variables. Data 57 analyses took place between April and September 2012. The overweight/obesity classification 58 was established by age-and sex-specific BMI cut-off points as defined by the International 59 Obesity Task Force (IOTF). Parents completed questionnaires about socio-demographic and 60 behavioural characteristics of the family. 61 62 Results: Almost 28% of the Portuguese children were overweight or obese (19.7% overweight; 63 8.2% obese). Prevalence was greater in girls than in boys. Logistic regression models found that 64 the odds of childhood obesity were significantly affected by biological, socio-demographic and 65 behavioural factors. 66 67 Conclusions: The protective factors against childhood overweight/obesity in this sample of 68 Portuguese children are: i) being male; ii) having been breastfeed; iii) having been born from 69
The Double Deficit Hypothesis in a College-Level Sample: Sex Differences, Comorbid ADHD, and Academic/Neuropsychological Profiles

The Double Deficit Hypothesis posits that four mutually exclusive subgroups can be identified in a reading disabled (RD) sample. These subgroups are predicted to differ on reading measures, and further evidence suggests they may differ on other academic achievement (AA) and neuropsychological (NP) measures, as well as sex ratios and rate of ADHD diagnosis. Two hundred twenty six college-level adults identified as RD were evaluated, and subgroup comparisons were analyzed. Significant subgroup differences were observed in each domain. No subgroup differences were observed for sex or ADHD diagnosis. Findings suggest that patterns of linguistic ability affect the profiles of reading, AA, and NP performance that characterize adults with RD. These findings have implications for evaluations and academic accommodations. INDEX WORDS: Reading disability, Double deficit hypothesis THE DOUBLE DEFICIT HYPOTHESIS IN A COLLEGE-LEVEL SAMPLE: SEX DIFFERENCES, COMORBID ADHD, AND ACADEMIC/NEUROPSYCHOLOGICAL PROFILES
High-Meat, Low-Carbohydrate Diet in Pregnancy: Relation to Adult Blood Pressure in the Offspring

To examine the hypothesis that a high–animal protein, low-carbohydrate diet in pregnancy is associated with raised blood pressure in the adult offspring, we performed a follow-up study of 626 men and women in Motherwell, Scotland, whose mothers’ food intake had been recorded during pregnancy. The mothers had taken part in a dietary intervention in which they were advised to eat 1 lb (0.45 kg) of red meat per day and to avoid carbohydrate-rich foods during pregnancy. The offspring were followed up at age 27 to 30 years, and their systolic and diastolic blood pressures were measured. Women who reported greater consumption of meat and fish in the second half of pregnancy had offspring with higher systolic blood pressure in adult life (regression coefficient, 0.19 mm Hg per portion per week; 95% confidence interval, 0.04 to 0.35;P =0.02). High maternal consumption of fish, but not meat, was associated with higher diastolic blood pressure in the offspring (regression coefficient, 1.00 mm Hg per portion per week; 95% confidence interval, 0.18 to 1.82;P =0.02). These associations were independent of maternal blood pressure, body size, and smoking habits during pregnancy. Although we cannot exclude confounding by maternal saturated fat or salt intake, the findings support those of a study in Aberdeen showing higher blood pressure in men and women whose mothers had eaten a high–animal protein, low-carbohydrate diet in late pregnancy. These associations may reflect the metabolic stress imposed on the mother by an unbalanced diet in which high intakes of essential amino acids are not accompanied by the nutrients required to utilize them.
Distributed Medical Information System for Chronic Viral Hepatitis

To make a long-term dynamic monitoring to the chronic illness, especially patients of HBV, we build a novel applied medical information system for chronic viral hepatitis (MISCHV). The distributed system architecture and its function are described, and the security components of availability, integrity and confidentiality are taken into account as main vectors when designing this medical database system. The security mechanism is based on the combination of mandatory and discretionary approaches with the hierarchies of user roles, data sets and sites in order to decide the secure distributed application. The systempsilas extensive application and important role are also presented.
A micropump driven by continuous electrowetting actuation for low voltage and low power operations

In this paper we first report a micropump actuated by continuous electrowetting (CEW). We have used the surface-tension-induced motion of a mercury drop in the microchannel filled with an electrolyte as actuation energy. We have fabricated the CEW actuator, silicone rubber pumping membranes and copper flap check valves, and have demonstrated actual liquid pumping up to 63 /spl mu/l/min at the applied voltage of 2.3 Vpp. The maximum pump pressure is about 600 Pa at the applied voltage of 2.3 Vpp with operation frequency of 10 Hz.
Understanding the Interplay of Simultaneous Model Selection and Representation Optimization for Classification Tasks

The development of classification systems that meet the desired accuracy levels for real world-tasks applications requires a lot of expertise. Numerous challenges, like noisy feature data, suboptimal algorithms and hyperparameters, degrade the generalization performance. On the other hand, almost countless solutions have been developed, e.g. feature selection, feature preprocessing, automatic algorithm and hyperparameter selection. Furthermore, representation learning is emerging to automatically learn better features. The challenge of finding a suitable and tuned algorithm combination for each learning task can be solved by automatic optimization frameworks. However, the more components are optimized simultaneously, the more complex their interplay becomes with respect to the generalization performance and optimization run time. This paper analyzes the interplay of the components in a holistic framework which optimizes the feature subset, feature preprocessing, representation learning, classifiers and all hyperparameters. The evaluation on a real-world dataset that suffers from the curse of dimensionality shows the potential benefits and risks of such holistic optimization frameworks.
3D simulation of primary thrombus formation based on Level Set Methods

The simulation of thrombosis is a popular research topic recently. Since Level Set Methods have well developed in fluid flow simulation, this paper presents a 3D simulation of primary thrombus formation based on Level Set Methods. A hybrid model including a macroscale model and a microscale model is built to simulate the flow, adhesion, and aggregation of platelets. The macroscale model is based on Navier-Stokes equations and the microscale model is described as external force and viscosity increase of platelets. By this simulation we observe the process of primary thrombus formation and analyze the effect of Reynolds Number (Re) to the formation rate. The results show that the formation rate increases with Re rise and this phenomenon becomes significant when Re is larger than the normal average Re of vessels which is a threshold value.
Using agents and simulation to develop adequate thinking styles

Reinforcement learning theory encourages the use of agents for stimulating and assisting learners in their efforts to develop thinking styles. In this study the authors looked at a similar scenario of human-environmental interaction using Internet-mediated simulations as learning environments. One hundred and forty-nine vocational high schools students participated in this study to see if they can develop adequate thinking style when they learned in a simulation environment with help from agents. The results show that the judicial thinking style was best suited to the system we designed for this project - that is, we observed the greatest amount of development for this particular thinking style. Our results indicate that it is possible to establish and support thinking styles via Internet-mediated simulations.
A guide to understanding polycystic ovary syndrome (PCOS)

Polycystic ovary syndrome (PCOS) is the commonest endocrine disorder affecting women of reproductive age. Some 20% of women will have polycystic ovaries on an ultrasound scan and around 7% of women have the additional clinical or biochemical features of PCOS. As a complex multisystem disorder its background can be confusing to understand. They key feature, however, is an increased production of androgen by the ovaries. This review uses ovarian biology to describe a strategy to aid understanding and explanation of PCOS. This framework can be also be used to teach about PCOS and to inform different approaches to its management.
Androgens in Women before and after the Menopause and Post Bilateral Oophorectomy: Clinical Effects and Indications for Testosterone Therapy

In postmenopausal women, the ovaries produce significant amounts of androgens for many years after the menopause. Bilateral oophorectomy markedly reduces circulating testosterone (T) in both pre- and postmenopausal women. Oral estrogen therapy in postmenopausal women increases sex hormone-binding globulin and decreases T bioavailablity. Circulating androgens decrease with increasing age. The occurrence of an androgen deficiency syndrome associated with loss of libido and sense of well-being is disputed, but in several randomized controlled trials, transdermal T patches produced a significant improvement in hypoactive sexual desire disorder in postmenopausal women who had bilateral oophorectomy and in some women who had a natural menopause. T therapy is legitimate and is clinically indicated in such women. T therapy may have other benefits in postmenopausal women including an increase in lean body mass and bone mineral density. T therapy should become an integral part of hormone therapy in selected postmenopausal women in the future.
Abrupt and Persistent Declines in Regional Precipitation Patterns : Societal Implications and Geographic Patterns

Abrupt and persistent changes in regional climate patterns have happened in the past, and according to models, may happen again in the future. These sudden and prolonged shifts have negatively impacted the well being of people and can compromise the ability of societies to sustain into the future in a desirable way. It is therefore important to determine which places might be vulnerable to abrupt changes in precipitation patterns the future, as well the impacts that such shifts have had in the past. Understanding this should help to focus management efforts. Using an analysis of twentieth century gridded station data, this research investigates the impact that sudden and prolonged declines in annual precipitation had for three socialecological systems: northern Mexico in the 1950s and 1960s, parts of the Former Soviet Union in the 1920s and 1930s, and southern Africa in the 1980s and 1990s. A literature review was carried out to determine the effects that the abrupt changes had on the socialecological systems under consideration. In addition, the geography, climate, and land use practices of the regions were investigated using both literature and analyses of average precipitation, crop cover, and potential vegetation datasets. Comparisons of the events were made in an attempt to elucidate patterns that could be studied further. Savanna and grassland/steppe potential vegetation zones were found to be particularly vulnerable to the sudden and prolonged shifts in precipitation patterns. In addition, agricultural productivity was determined to be a central component of each of the social-ecological systems considered. For this reason, it is recommended that management efforts in regions vulnerable to abrupt and persistent changes in precipitation concentrate on improving the resilience of their agricultural systems. Political were also found to be an important determinant of the impact that the shifts had on the social-ecological systems studied. Lastly, this research demonstrates the importance of integrating disciplines when studying the dynamics of abrupt climate change.
Zero-Shot Learning for Semantic Utterance Classification

We propose a novel zero-shot learning method for semantic utterance classification (SUC). It learns a classifier $f: X \to Y$ for problems where none of the semantic categories $Y$ are present in the training set. The framework uncovers the link between categories and utterances using a semantic space. We show that this semantic space can be learned by deep neural networks trained on large amounts of search engine query log data. More precisely, we propose a novel method that can learn discriminative semantic features without supervision. It uses the zero-shot learning framework to guide the learning of the semantic features. We demonstrate the effectiveness of the zero-shot semantic learning algorithm on the SUC dataset collected by (Tur, 2012). Furthermore, we achieve state-of-the-art results by combining the semantic features with a supervised method.
Microwave gas-discharge ultraviolet lamp

Microwave gas-discharge ultraviolet lamp (MW-UV-lamp) has been built up in the Plasma Physics Division of General Physics Institute of Russian Academy of Sciences (GPI). Unusual method of microwave discharge excitation in a lamp bulb has been developed. This method based on a principle of “truncated electrode of coaxial” has been formulated previously (see [1]) allows excite microwave discharge in gases and gaseous mixtures over a wide range of pressures at a relatively low microwave power. Ordinary magnetrons used in modern domestic microwave ovens (wavelength near 12 cm, power about 600-1000W) have been utilized in a MW-UV-lamp that is now in operation. Principles of microwave energy input in an “open” lamp as well as a lamp introduced in water have been elaborated. The main preferences of this construction are as following: Absence of electrodes that noticeably increases of UV-lamp life time; Simplicity and cheapness of water disinfection system based on the MW-UV-lamp application. Preliminary microbiological researches have shown that the productivity of lamp regarding to the disinfection of microbially contaminated water (reduction of microbial content in ≈ 10 less than the initial one) is as low as: η ≅ 10 kW hour/liter For experimental investigation of spectral characteristics of MW-UV-lamp optical and chemical (actinometric) methods developed in GPI (see [2,3]) have been targeted for application. With help of these methods optimal buffer gas pressure for biologically active UV radiation has been determined.
Threshold behavior of incentives in social networks

The advent of large scale online social networks has resulted in a spurt of studies on the user participation in the networks. We consider a query incentive model on social networks, where user's queries are answered through her friendship network and there are `rewards' or `incentives' in the system to answer the queries utilizing ones community. We model the friendship network as a random graph with power-law degree distribution, and show that the reward function exhibits a theoretic threshold behavior on the scaling exponent α, a network parameter. Specifically, there exists a threshold on α above which the reward is exponential in the average path length in the network and below the threshold, the reward is proportional to the average path length. We demonstrate this finding on simulated power-law networks and real world data gathered from online social media such as Flickr, Digg, YouTube and Yahoo! Answers.
New results for partial key exposure on RSA with exponent blinding

In 1998, Boneh, Durfee and Frankel introduced partial key exposure attacks, a novel application of Coppersmith's method, to retrieve an RSA private key given only a fraction of its bits. This type of attacks is of particular interest in the context of side-channel attacks. By applying the exponent blinding technique as a countermeasure for side-channel attacks, the private exponent becomes randomized at each execution. Thus the attacker has to rely only on a single trace, significantly incrementing the noise, making the exponent bits recovery less effective. This countermeasure has also the side-effect of modifying the RSA equation used by partial key exposure attacks, in a way studied by Joye and Lepoint in 2012. We improve their results by providing a simpler technique in the case of known least significant bits and a better bound for the known most significant bits case. Additionally, we apply partial key exposure attacks to CRT-RSA when exponent blinding is used, a case not yet analyzed in literature. Our findings, for which we provide theoretical and experimental results, aim to reduce the number of bits to be recovered through side-channel attacks in order to factor an RSA modulus when the implementation is protected by exponent blinding.
The Default Risk of Firms Examined with Smooth Support Vector Machines

In the era of Basel II a powerful tool for bankruptcy prognosis is vital for banks. The tool must be precise but also easily adaptable to the bank's objections regarding the relation of false acceptances (Type I error) and false rejections (Type II error). We explore the suitabil- ity of Smooth Support Vector Machines (SSVM), and investigate how important factors such as selection of appropriate accounting ratios (predictors), length of training period and structure of the training sample in°uence the precision of prediction. Furthermore we show that oversampling can be employed to gear the tradeo® between error types. Finally, we illustrate graphically how di®erent variants of SSVM can be used jointly to support the decision task of loan o±cers.
Cross-Lingual Variation of Light Verb Constructions: Using Parallel Corpora and Automatic Alignment for Linguistic Research

Cross-lingual parallelism and small-scale language variation have recently become subject of research in both computational and theoretical linguistics. In this article, we use a parallel corpus and an automatic aligner to study English light verb constructions and their German translations. We show that parallel corpus data can provide new empirical evidence for better understanding the properties of light verbs. We also study the influence that the identified properties of light verb constructions have on the quality of their automatic alignment in a parallel corpus. We show that, even though characterised by limited compositionality, these constructions can be aligned better than fully compositional phrases, due to an interaction between the type of light verb construction and its frequency.