Miracle-dz/UniFAR-FTUs huggingface dataset:
A transdiagnostic examination of decreased intolerance of uncertainty and treatment outcome

Abstract Intolerance of uncertainty (IU) is characterized by negative beliefs and reactions to uncertainty. IU is present in emotional disorders and may be a mechanism of change in treatment . There are two components of IU, prospective and inhibitory IU, that may be differentially associated with outcome. The current study tested associations between pre- and post-treatment changes in the components of IU, symptoms of anxiety and depression, and treatment outcome in a large diagnostically heterogeneous partial hospital sample. Results suggested that social anxiety disorder was associated with greater pre-treatment prospective and inhibitory IU scores than those without the diagnosis. Results also showed that inhibitory IU predicted change in anxiety and depression symptoms and prospective IU and depression reductions predicted improvements in overall psychological health and psychological inflexibility. Only change in depression predicted improvement in interpersonal relationships throughout treatment. Clinical and theoretical implications of the findings are discussed.
Extracting user spatio-temporal profiles from location based social networks

Location Based Social Networks (LBSN) like Twitter or Instagram are a good source for user spatio-temporal behavior. These social network provide a low rate sampling of user’s location information during large intervals of time that can be used to discover complex behaviors, including mobility profiles, points of interest or unusual events. This information is important for different domains like mobility route planning, touristic recommendation systems or city planning. Other approaches have used the data from LSBN to categorize areas of a city depending on the categories of the places that people visit or to discover user behavioral patterns from their visits. The aim of this paper is to analyze how the spatio-temporal behavior of a large number of users in a well limited geographical area can be segmented in different profiles. These behavioral profiles are obtained by means of clustering algorithms that show the different behaviors that people have when living and visiting a city. The data analyzed was obtained from the public data feeds of Twitter and Instagram inside the area of the city of Barcelona for a period of several months. The analysis of these data shows that these kind of algorithms can be successfully applied to data from any city (or any general area) to discover useful profiles that can be described on terms of the city singular places and areas and their temporal relationships. These profiles can be used as a basis for making decisions in different application domains, specially those related with mobility inside and outside a city.
Antibiotic resistanceofenterococciand relatedbacteria inan urbanwastewater treatmentplant

urbanwastewater treatmentplant Miguel Ferreira da Silva, Igor Tiago, António Verı́ssimo, Rui A. R. Boaventura, Olga C. Nunes & Célia M. Manaia Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Porto, Portugal; Departamento de Zoologia, Faculdade de Ciências e Tecnologia and Centro de Neurociências e Biologia Celular, Universidade de Coimbra, Coimbra, Portugal; LSRE, Departamento de Engenharia Quı́mica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal; and LEPAE, Departamento de Engenharia Quı́mica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal
An execution profiler for modular programs

In modular programs, groups of routines constitute conceptual abstractions. A method for providing execution profiles for such programs is presented. The central idea is that the execution time for a routine is charged to the routines that call it. The implementation of this method by a profiler called gprof is described. The techniques used to gather the necessary information about the timing and structure of the program are given, as is the processing used to propagate routine execution times along arcs of the call graph of the program. The method for displaying the profile to the user is discussed. Experience using the profiles for hand‐tuning large programs is summarized. Additional uses for the profiles are suggested.
Modélisation des écoulements dans un disjoncteur haute tension

Ce travail porte sur l'etude theorique du comportement du plasma dans un disjoncteur haute tension (DHT) pendant la phase de fort courant jusqu'au passage par zero du courant alternatif. La pression de remplissage initiale est de 6 bars et l'intensite maximale de 57 kA. L'etude est principalement orientee sur l'influence de l'ablation des parois en teflon (C2F4) et sur la montee en pression dans les volumes d'expansion thermique. Une bonne description de cette montee en pression est indispensable car elle conditionne le soufflage de l'arc et le recouvrement dielectrique lors du passage par zero du courant. Un modele magnetohydrodynamique transitoire base sur la methode des volumes finis a ete developpe a partir du code commercial ArobaseFluent complete par de nombreux modules specifiques a la description du plasma en presence de l'arc electrique. Le modele prend en compte la description du plasma en ecoulement en considerant : l'effet Joule, les forces de Lorentz ainsi que les phenomenes de turbulence et l'ablation des tuyeres. Afin de pouvoir quantifier le flux d'energie depose par rayonnement a la paroi, differents modeles ont ete implantes et appliques tels que les modeles P-1 et DOM. Finalement un modele hybride alliant les avantages de chacun d'eux est propose apres validation. Dans un premier temps, quelques notions generales sur les DHT sont donnees. Nous presentons ensuite la mise en place du modele avec les differents modules implantes. Les resultats theoriques relatifs a la montee en pression sont compares avec des resultats experimentaux. La masse ablatee, ramenee a l'energie fournie, est aussi comparee et validee avec les resultats experimentaux. Cette masse ablatee conduit a une deformation de la geometrie que nous prenons en compte. Nous etudions l'influence du changement de la geometrie sur la montee en pression et donc sur la capacite du disjoncteur a bien fonctionner suivant le nombre des tirs. Finalement revenant sur un acquis de la communaute, une explication sur les mecanismes conduisant a la montee en pression dans les volumes de chauffage est avancee.
Adenylyl cyclase‐5 activity in the nucleus accumbens regulates anxiety‐related behavior

Type 5 adenylyl cyclase (AC5) is highly concentrated in the dorsal striatum and nucleus accumbens (NAc), two brain areas which have been implicated in motor function, reward, and emotion. Here we demonstrate that mice lacking AC5 (AC5−/−) display strong reductions in anxiety‐like behavior in several paradigms. This anxiolytic behavior in AC5−/− mice was reduced by the D1 receptor antagonist SCH23390 and enhanced by the D1 dopamine receptor agonist, dihydrexidine (DHX). DHX‐stimulated c‐fos induction in AC5−/− mice was blunted in the dorso‐lateral striatum, but it was overactivated in the dorso‐medial striatum and NAc. The siRNA‐mediated inhibition of AC5 levels within the NAc was sufficient to produce an anxiolytic‐like response. Microarray and RT‐PCR analyses revealed an up‐regulation of prodynorphin and down‐regulation of cholecystokinin (CCK) in the NAc of AC5−/− mice. Administration of nor‐binaltorphimine (a kappa opioid receptor antagonist) or CCK‐8s (a CCK receptor agonist) reversed the anxiolytic‐like behavior exhibited by AC5−/− mutants. Taken together, these results suggest an essential role of AC5 in the NAc for maintaining normal levels of anxiety.
A novel routing with data mining in disconnected mobile ad-hoc networks

During last two decades, Mobile Ad hoc Networks (MANETs) has been in widespread use. However, in some critical applications such as in battlefield or area sensing, due to the node mobility, limited power and sparse deployment density, MANETs may suffer network partitioning. Without a stable end to end path, these challenged scenarios could cause most existing ad hoc networks protocols to fail. In this paper, we propose a new carrier-based routing scheme with data mining method, named SARD (Self-Adaptive Routing for Disconnected MANETs). In our scheme, nodes are classified by their mobility patterns dynamically. Several Mobile Assisted-carriers (MA) are attached to each class to help data transmission. By exploiting the regularity of nodes mobility in real world, the SARD scheme improves data delivery performance in these disconnected scenarios. The simulation results show that our scheme outperforms Message Ferry approaches, and also adapts well when network scenario changes.
Balancing Adder for error tolerant applications

Recent imprecise hardware (IHW) design methodologies present opportunities for achieving gains in nonfunctional efficiency design metrics by allowing errors in computation within error tolerant application domains. This work presents a novel imprecise Error Tolerant Balancing Adder (ETBA) design - an augmentation of the ETAIIM IHW adder that reduces errors by introducing a balance block that detects and corrects carry chain inconsistencies in the ETAIIM but operates off the critical path. Furthermore, this work identifies a common class of killer inputs with high error rates for IHW adders, and demonstrates the ETBA's resilience to these errors. A JPEG decompression case study reveals a 24% reduction in ETBA addition energy-delay product compared to a Kogge-Stone adder with only a 0.2% reduction in SSIM image quality.
Bivariate quantitative trait linkage analysis: Pleiotropy versus co‐incident linkages

Power to detect linkage and localization of a major gene were compared in univariate and bivariate variance components linkage analysis of three related quantitative traits in general pedigrees. Although both methods demonstrated adequate power to detect loci of moderate effect, bivariate analysis improved both power and localization for correlated quantitative traits mapping to the same chromosomal region, regardless of whether co‐localization was the result of pleiotropy. Additionally, a test of pleiotropy versus co‐incident linkage was shown to have adequate power and a low error rate. © 1997 Wiley‐Liss, Inc.
On a new compressed sensing paradigm in the modulated wideband converter

Concerning sub-Nyquist sampling, this paper continues research on the modulated wideband converter (MWC), which uses compressed sensing (CS) to sample multiband signals with unknown carriers below their Nyquist rate. The minimum sampling rate for blind acquisition of these signals is 2NB, with N the number of bands and B their bandwidth. The MWC performs at a rate 4NB; it features a factor 2 more sampling channels in parallel than the minimum. Investigated is a new CS paradigm, one that changes its compression matrix over time. It is believed that through this, the sampling rate can be brought to the minimum. Numerical simulations are performed to check the feasibility of the approach.
Automatic Target Recognition Using a Modular Neural Network.

Abstract : A modular neural network classifier has been applied to the problem of automatic target recognition (ATR) of targets in forward-looking infrared (FLIR) imagery. The classifier consists of several independently trained neural networks operating on features extracted from a local portion of a target image. The classification decisions of the individual networks are combined to determine the final classification. Experiments show that decomposition of the input features results in performance superior to a fully connected network in terms of both network complexity and probability of classification. The classifier's performance is further improved by the use of multiresolution features and by the introduction of a higher level neural network on top of the expert networks, a method known as stacked generalization. In addition to feature decomposition, we implemented a data decomposition classifier network and demonstrated improved performance. Experimental results are reported on a large set of FLIR images.
The impact of customer controllability and service recovery type on customer satisfaction and consequent behavior intentions

ABSTRACT Customer participation in service failure recovery has gained increasing attention as today’s customers are actively engaged in the service process. However, limited research examines customer participation and their satisfaction with the service recovery effort. The current study examines the customer controllability regarding service failure to determine customer satisfaction and behavior intention toward service recovery approaches. The study results show it is unwise to assume that every service recovery situation will need the same type of service recovery strategies without considering the service failure or problem from the customer’s side. Also, the findings demonstrate that once a service failure happens, customers’ perceived controllability has the capacity to influence their level of participation and evaluation outcomes in the service recovery process. Theoretically, this study indicates that the interaction effects occurring between customers’ perceived controllability and their participation in resolving service failures are dependent upon each other. Managerial implications are also discussed.
Identification of simultaneously occurring dynamic disc-to-disc insulation failures in transformer winding under impulse excitation

A method for identification and localization of isolated as well as simultaneous dynamic series insulation failures in transformer winding has been proposed. Trained wavelet network has been employed to identify the fault characteristics, viz. location(s), nature(s) and type of unknown impulse insulation failures. The network identifies the simultaneous dynamic insulation failures using the cross-wavelet transform based features extracted from recorded winding currents resulting impulse excitation. Four different fault emulators have been used to emulate different combinations of simultaneous dynamic disc-to-disc insulation failures in transformer winding. It has been found that the developed network with extracted features has identified the fault characteristics of simultaneous dynamic series insulation failures of transformer winding insulation within ±9% of winding length with good accuracy. The characteristics as well as experimentation details of simultaneously occurring dynamic disc-to-disc insulation failure(s), cross-wavelet transform based feature extraction and wavelet based fault characteristics identification are explained.
Using interaction networks to map communities on Twitter

This article summarizes our work using a network-based approach to mapping the main constituencies discussing specific topics on Twitter. The approach gives researchers unique insight into the main groups involved and their agendas. While the individual pieces of the methodology are not new, the way in which we combine them will be novel to many market researchers. By connecting Twitter users that interact with each other into an “interaction network” or “conversation map” and using community detection algorithms to isolate distinct groups, we are able to identify the main constituencies discussing a specific topic such as a national election. Once the main constituencies have been identified, it is possible to profile them in more detail such as in terms of their demographics, their influencers, and the type of content that resonates with them. This article specifically focuses on roughly one million tweets about the 2014 South African national election to illustrate our approach. The authors believe that the approach described has wide-ranging applications and that it can be used to give researchers unprecedented insight into the public discourse surrounding specific topics and events. This article is adapted from an earlier article presented at the 2015 Southern African Marketing Research Association’s (SAMRA) annual conference.
Systemic effects of Wnt signaling

Wnt signaling plays a key role in several physiological and pathological aspects. Even if Wnt signal was first described more than 20 years ago, its role in systemic effects, such as angiogenesis and vascular disorders, bone biology, autoimmune diseases, neurological diseases, and neoplastic disorders, was only recently emerged through the use of animal and in vitro models. Moreover, Wnt signaling inhibitors, such as DKK‐1, may be advantageously considered targets for the treatment of several diseases, including osteoporosis, vascular diseases, inflammatory diseases, neurological diseases, and cancer. Nevertheless, further studies are required to provide a complete understanding of this complex signaling pathway, and especially of its role in human diseases, considering the possible advantageous effects of Wnt signaling inhibitors on the progression of disease conditions. J. Cell. Physiol. 228: 1428–1432, 2013. © 2013 Wiley Periodicals, Inc.
Outer bounds for Gaussian multiple access channels with state known at one encoder

This paper studies a two-user state-dependent Gaussian multiple-access channel with state noncausally known at one encoder. Two new outer bounds on the capacity region are derived, which improve uniformly over the best known (genie-aided) outer bound. The two corner points of the capacity region as well as the sum rate capacity are established, and it is shown that a single-letter solution is adequate to achieve both the corner points and the sum rate capacity. Furthermore, the full capacity region is characterized in situations in which the sum rate capacity is equal to the capacity of the helper problem. The proof exploits the optimal-transportation idea of Polyanskiy and Wu (which was used previously to establish an outer bound on the capacity region of the interference channel) and the worst-case Gaussian noise result for the case in which the input and the noise are dependent.
The concept of irony, with continual reference to Socrates : together with notes of Schelling's Berlin lectures

A work that "not only treats of irony but is irony, " wrote a contemporary reviewer of The Concept of Irony, with Continual Reference to Socrates. Presented here with Kierkegaard's notes of the celebrated Berlin lectures on "positive philosophy" by F.W. J. Schelling, the book is a seedbed of Kierkegaard's subsequent work, both stylistically and thematically. Part One concentrates on Socrates, the master ironist, as interpreted by Xenophon, Plato, and Aristophanes, with a word on Hegel and Hegelian categories. Part Two is a more synoptic discussion of the concept of irony in Kierkegaard's categories, with examples from other philosophers and with particular attention given to A. W. Schlegel's novel Lucinde as an epitome of romantic irony.The Concept of Irony and the Notes of Schelling's Berlin Lectures belong to the momentous year 1841, which included not only the completion of Kierkegaard's university work and his sojourn in Berlin, but also the end of his engagement to Regine Olsen and the initial writing of Either/Or.
Meat grinders and molecular epidemiology: two supermarket outbreaks of Escherichia coli O157:H7 infection.

Between 23 June and 15 July 1994, 21 cases (19 primary and 2 secondary) of Escherichia coli O157:H7 infection were identified in the Bethel, Connecticut, area. Three pulsed-field gel electrophoresis (PFGE) patterns from 15 isolates (I, n = 13; II, n = 2; and III, n = 1) were observed. A case-control study that excluded secondary cases and patients with PFGE II and III patterns (n = 16) demonstrated that consumption of food from one supermarket was associated with illness (15/16 cases vs. 31/47 geographically matched controls, odds ratio [OR] undefined, lower 95% confidence interval OR = 1.45, P = .018). No one food was associated with illness. Inspection of the supermarket revealed deficiencies in hygiene and meat handling practices. The 2 cases with PFGE II ate raw beef and raw lamb from a second supermarket. These outbreaks demonstrate the value of PFGE in supporting epidemiologic investigations and the potential for outbreaks arising from retail outlets.
Gravitropic response induced by coumarin: Evidences of ROS distribution involvement

Coumarin effects on gravitropic responses of Arabidopsis thaliana roots were here evaluated. Coumarin alone did not cause any alteration on gravitropic response showing a behavior similar to control plants. In contrast, TIBA and NPA, two auxin transport inhibitors, strongly modified root gravitropic responses. The addition of coumarin to the medium together with TIBA or NPA partially restored the effect of both inhibitors. Simultaneously, a semi-quantitative evaluation of ROS distribution was performed on root tips. TIBA and NPA caused a wide distribution of O2-, ROS oxidant species, around the root tip which disappeared with coumarin addition to both treatments, restoring ROS localized distribution. These results indicated a strong correlation between ROS distribution and coumarin-mediated recovery of root gravitropism.
Experimental and computational aspects of signaling mechanisms of spike‐timing‐dependent plasticity

STDP (spike‐timing‐dependent synaptic plasticity) is thought to be a synaptic learning rule that embeds spike‐timing information into a specific pattern of synaptic strengths in neuronal circuits, resulting in a memory. STDP consists of bidirectional long‐term changes in synaptic strengths. This process includes long‐term potentiation and long‐term depression, which are dependent on the timing of presynaptic and postsynaptic spikings. In this review, we focus on computational aspects of signaling mechanisms that induce and maintain STDP as a key step toward the definition of a general synaptic learning rule. In addition, we discuss the temporal and spatial aspects of STDP, and the requirement of a homeostatic mechanism of STDP in vivo.
Effects of Menopausal Status on Sleep in Midlife Women

Disturbed sleep is a common complaint of midlife women often attributed to menopause, though few studies have examined direct effects of menopausal status on sleep. Our objective was to assess this issue in healthy midlife women. We examined sleep polysomnographically on 2 consecutive nights in 25 women (ages 45 - 56 yrs) without sleep complaints (13 pre-menopausal; 12 post-menopausal). Groups differed in Stage 1 % (lower in post-menopausal) and slow wave sleep latency (shorter in post-menopausal). Subjective sleep reports did not differ. Age correlated negatively with Stage 1 % and positively with Stage 4 %. These results indicate that menopausal status plays a minimal role in sleep quality and sleep stage distribution in healthy midlife women without sleep complaints.
Fast point cloud registration algorithm using multiscale angle features

Abstract. To fulfill the demands of rapid and real-time three-dimensional optical measurement, a fast point cloud registration algorithm using multiscale axis angle features is proposed. The key point is selected based on the mean value of scalar projections of the vectors from the estimated point to the points in the neighborhood on the normal of the estimated point. This method has a small amount of computation and good discriminating ability. A rotation invariant feature is proposed using the angle information calculated based on multiscale coordinate axis. The feature descriptor of a key point is computed using cosines of the angles between corresponding coordinate axes. Using this method, the surface information around key points is obtained sufficiently in three axes directions and it is easy to recognize. The similarity of descriptors is employed to quickly determine the initial correspondences. The rigid spatial distance invariance and clustering selection method are used to make the corresponding relationships more accurate and evenly distributed. Finally, the rotation matrix and translation vector are determined using the method of singular value decomposition. Experimental results show that the proposed algorithm has high precision, fast matching speed, and good antinoise capability.