Miracle-dz/UniFAR-FTUs huggingface dataset:
Emotion Dysregulation, Impulsivity, Mindfulness, and Attachment Orientation in People with Symptoms of Bulimia Nervosa and Binge Eating Disorder

Emotion dysregulation has been implicated in over half the DSM-IV Axis I diagnoses and all the Axis II disorders, and greater dysregulation has been associated with more severe psychopathology in clinical populations (Bradley, 2003; Fischer, Smith, Spillane, & Cyders, 2005; Gross, 1998; Hayes, Wilson, Strosahl, Gifford, & Follett, 1996). Despite this, there is still much research to do in order to understand the causes of emotion dysregulation and to consider its association with other theories that incorporate perspectives on emotional recognition and regulation, such as mindfulness. In some theories emotion dysregulation is believed to stem from poor quality early attachment relationships (Bowlby, 1962/69, 1973, 1980) which are believed to affect both interand intra-personal functioning. For example, individuals receiving mental health treatment tend to have higher proportions of individuals with attachment insecurity than community populations. Moreover, individuals with greater attachment insecurity have been found to resort to binge eating and purging which are sometimes referred to as secondary attachment strategies (Evans & Wertheim, 2005; Flores, 2004; Mikulincer, Shaver, & Pereg, 2003; Orzolek-Kronner, 2002; Polivy & Herman, 2002; Schore, 2003; Zvolensky & Forsyth, 2002). Binge eating and purging have also been associated with impulsivity in general, but may actually be more closely aligned with ‘urgency’, a facet of impulsivity (Fischer, Smith, Spillane, & Cyders, 2005). Attachment insecurity, emotion dysregulation and impulsivity have all been associated with bulimia nervosa and binge eating disorder (Cassin & von Ranson, 2005; Claes, Vandereycken, & Vertommen, 2005; Polivy & Herman, 2002). However, relatively few treatments for these disorders focus on addressing emotion dysregulation
Referral Web: combining social networks and collaborative filtering

Part of the success of social networks can be attributed to the “six degrees of separation’’ phenomena that means the distance between any two individuals in terms of direct personal relationships is relatively small. An equally important factor is there are limits to the amount and kinds of information a person is able or willing to make available to the public at large. For example, an expert in a particular field is almost certainly unable to write down all he knows about the topic, and is likely to be unwilling to make letters of recommendation he or she has written for various people publicly available. Thus, searching for a piece of information in this situation becomes a matter of searching the social network for an expert on the topic together with a chain of personal referrals from the searcher to the expert. The referral chain serves two key functions: It provides a reason for the expert to agree to respond to the requester by making their relationship explicit (for example, they have a mutual collaborator), and it provides a criteria for the searcher to use in evaluating the trustworthiness of the expert. Nonetheless, manually searching for a referral chain can be a frustrating and time-consuming task. One is faced with the trade-off of contacting a large number of individuals at each step, and thus straining both the time and goodwill of the possible respondents, or of contacting a smaller, more focused set, and being more likely to fail to locate an appropriate expert. In response to these problems we are building ReferralWeb, an interactive system for reconstructing, visualizing, and searching social networks on the World-Wide Web. Simulation experiments we ran before we began construction of ReferralWeb showed that automatically generated referrals can be highly
Exponential stability of switched systems with mixed time delays

This paper address the exponential stability for a class of switched systems with mixed time delays. Based on linear matrix inequalities and Lyapunov-Krasovskii functional approach, a geometrically switching rule for the exponential stability of the system is designed. The approach allows to compute simultaneously the two bounds that characterize the exponential stability rate of the solution. Numerical example to show the effectiveness of the proposed method is given. Mathematics Subject Classification: 34D05, 34D20, 34K20, 34K35
Evaluating an Integrative Theoretical Framework for HIV Sexual Risk among Juvenile Justice involved Adolescents

Juvenile justice involved youth are at great risk for negative outcomes of risky sexual behavior including HIV/AIDS. Given the strong connection between alcohol use and risky sex in this population, it is important to consider alcohol use in interventions designed to decrease risky sexual behavior. This paper provides support for an integrative translational model that incorporates psychosocial, neurobiological, and genetic factors to better predict alcohol-related sexual risk behavior. Specifically, we present the design, methods, and baseline data from a complex randomized control trial, Project SHARP (Sexual Health and Adolescent Risk Prevention) in order to illustrate how this broad array of factors can best predict alcohol-related sexual risk behavior. Participants were justice-involved adolescents (n=284) who completed an fMRI and self-report assessments prior to randomization to either a sexual risk plus alcohol risk reduction group intervention or to an information-only contact control group intervention. Structural equation modeling was utilized and findings supported the hypothesized relationships in the translational model. Preliminary data suggest that interventions among justice-involved adolescents targeting alcohol-related sexual risk behavior may be more effective if a biopsychosocial approach is considered.
Multi-resolution screen-space ambient occlusion

We present a new screen-space ambient occlusion algorithm (SSAO), which we call Multi-Resolution Screen-Space Ambient Occlusion (MSSAO). The method computes ambient occlusion by combining occlusion values using multiple mipmap levels of a g-buffer. Our method is based on the observation that occlusion due to further-away occluders are lower frequency and thus can be computed in coarser resolutions. On the other hand, nearby occluders cause higher-frequency occlusion that must be computed in finer resolutions. Our method samples occluders in screen space (similar to [Shanmugam and Arikan 2007]) and combines occlusion values across multiple image resolutions. Compared with two state-of-the-art SSAO methods [Filion and McNaughton 2008; Bavoil et al. 2008], results from our algorithm are closer to ray-traced results, even when our algorithm is running at comparable or higher frame rates. Because no random sampling is used, and occlusion values in all levels are combined using edge-preserving blending, our results are free of noise or excessive blurring which are common in other SSAO methods.
Air robot path planning based on Intelligent Water Drops optimization

Path planning of air robot is a complicated global optimum problem. Intelligent water drops (IWD) algorithm is newly presented under the inspiration of the dynamic of river systems and the actions that water drops do in the rivers, and it is easy to combine with other methods in optimization. In this paper, we propose an improved IWD optimization algorithm for solving the air robot path planning problems in various environments. The water drops can act as an agent in searching the optimal path. The detailed realization procedure for this novel approach is also presented. Series experimental comparison results show the proposed IWD optimization algorithm is more effective and feasible in the air robot path planning than the basic IWD model.
ADAMTSL4, a secreted glycoprotein widely distributed in the eye, binds fibrillin-1 microfibrils and accelerates microfibril biogenesis.

PURPOSE ADAMTSL4 mutations cause autosomal recessive isolated ectopia lentis (IEL) and ectopia lentis et pupillae. Dominant FBN1 mutations cause IEL or syndromic ectopia lentis (Marfan syndrome and Weill-Marchesani syndrome). The authors sought to characterize recombinant ADAMTSL4 and the ocular distribution of ADAMTSL4 and to investigate whether ADAMTSL4 influences the biogenesis of fibrillin-1 microfibrils, which compose the zonule. METHODS ADAMTSL4 was expressed by the transfection of HEK293F cells. Protein extracts and paraffin sections from human eyes were analyzed by Western blot analysis and by immunoperoxidase staining, respectively. Immunofluorescence was used to evaluate fibrillin-1 deposition in the ECM of fetal bovine nuchal ligament cells after culture in ADAMTSL4-conditioned medium or control medium. Confocal microscopy was performed to investigate ADAMTSL4 and fibrillin-1 colocalization in these cultures. RESULTS Western blot analysis identified ADAMTSL4 as a glycoprotein in HEK293F cells and as a major band of 150 kDa in ocular tissues including ciliary body, sclera, cornea, and retina. Immunoperoxidase staining showed a broad ocular distribution of ADAMTSL4, associated with both cells and fibrillar ECM. When cultured in ADAMTSL4-containing medium, fetal bovine nuchal ligament cells showed accelerated fibrillin-1 deposition in ECM. ADAMTSL4 colocalized with fibrillin-1 microfibrils in the ECM of these cells. CONCLUSIONS ADAMTSL4 is a secreted glycoprotein that is widely distributed in the human eye. Enhanced fibrillin-1 deposition in the presence of ADAMTSL4 and colocalization of ADAMTSL4 with fibrillin-1 in the ECM of cultured fibroblasts suggest a potential role for ADAMTSL4 in the formation or maintenance of the zonule.
Predicting Factors for Allogeneic Blood Transfusion and Excessive Postoperative Blood Loss after Single Low-Dosage Intra-Articular Tranexamic Acid Application in Total Knee Replacement

Background. Recently, intra-articular tranexamic acid (IA-TXA) application has become a popular method for perioperative blood loss (PBL) reduction in total knee replacement (TKR). Nevertheless, through our knowledge, no previous studies had shown the correlation perioperative factors and the risk of excessive PBL or need of blood transfusion (BT) after IA-TXA. Materials and Methods. A retrospective study was conducted in patients underwent 299 primary TKRs, using IA-TXA, during 2-year period (2013-2014). Patient's characteristic and perioperative data were reviewed and collected. PBL was measured as total hemoglobin loss (THL), estimated total blood loss (ETBL), and drainage volume per kg (DV/kg). Excessive PBL was defined as PBL that exceeded 90th percentile. Results. From multivariate analysis, low preoperative hemoglobin (Hb) level and body mass index (BMI) were the significant predictors of postoperative BT (p < 0.0001 and 0.003, resp.). Excessive THL significant associated with preoperative Hb (p < 0.0001). Excessive ETBL significantly associated with preoperative Hb, height, preoperative range-of-motion, and creatinine clearance (p < 0.05 all). Low BMI and large prosthesis size were the significant predictors of excessive DV/kg (p = 0.0001 and 0.002, resp.). Conclusions. Low preoperative Hb and BMI were the significant risks of postoperative transfusion after TKR with IA-TXA. Moreover, multiple perioperative factors could result in higher PBL.
A FDTD solution to the Maxwell-Schrödinger coupled model at the microwave range

The Maxwell-Schrödinger coupled model is implemented and solved with a FDTD scheme which allows to describe the impact of microwave EM fields on the behaviour of the electronic configuration in a sandwiched nanostructure of Al and SiO2. The proposed solution focuses on the study of the wavefunction, through which it is possible to determine the eigenfrequencies of the electrons and hence their energy levels; this is a very general method and can be applied to many other problems related to nanodevices.
Discrepancies Between Normative and Descriptive Models of Decision Making and the Understanding/Acceptance Principle

Several tasks from the heuristics and biases literature were examined in light of Slovic and Tversky's (1974) understanding/acceptance principle-that the deeper the understanding of a normative principle, the greater the tendency to respond in accord with it. The principle was instantiated both correlationally and experimentally. An individual differences version was used to examine whether individuals higher in tendencies toward reflective thought and in cognitive ability would be more likely to behave normatively. In a second application of the understanding/acceptance principle, subjects were presented with arguments both for and against normative choices and it was observed whether, on a readministration of the task, performance was more likely to move in a normative direction. Several discrepancies between performance and normative models could be explained by the understanding/acceptance principle. However, several gaps between descriptive and normative models (particularly those deriving from some noncausal base rate problems) were not clarified by the understanding/acceptance principle-they could not be explained in terms of varying task understanding or tendencies toward reflective thought. The results demonstrate how the variation and instability in responses can be analyzed to yield inferences about why descriptive and normative models of human reasoning and decision making sometimes do not coincide.
Functional synaptic circuits in the subplate during fetal and early postnatal development of cat visual cortex

Among the first postmitotic cells of the cerebral cortex is a special population located below the cortical plate: the subplate neurons. These neurons reach a high degree of morphological maturity during fetal life, well before the neurons of the cortical layers have matured, yet nearly all of these cells die after birth in the cat. Subplate neurons are also known to receive synaptic contacts. Here we have investigated whether these contacts are functional by making intracellular recordings from subplate neurons in cortical slices maintained in vitro. Subplate neurons were identified based on their location and morphology by injecting them with biocytin following the intracellular recordings. At all ages studied between embryonic day 50 and postnatal day 9, electrical stimulation of the optic radiations elicited EPSPs and synaptic and antidromic spikes in subplate neurons, indicating that some of the synapses seen at the ultrastructural level are indeed capable of synaptic transmission. The spiking patterns of 39 morphologically identified subplate neurons were examined by injecting depolarizing current, which revealed that a large majority gave only a single spike or a brief train of spikes in response to maintained depolarization, in contrast to the regular spiking pattern found in many neurons of adult cortex. Biocytin injections into subplate neurons revealed that they are a morphologically heterogeneous population with respect to their dendritic branching patterns; roughly half were inverted pyramids, the classic subplate neuron morphology. The axonal processes of subplate neurons were remarkable in that many not only arborized within the subplate, but also entered the cortical plate and terminated in the marginal zone. At early postnatal ages, these axons also gave off collaterals within cortical layer 4. The results of this study indicate that subplate neurons participate in synaptic microcircuits during development. While the presynaptic identity of the input to subplate neurons is not known conclusively, it is likely that geniculocortical axons, which wait in close proximity to subplate neurons, contribute significantly. The pattern of axonal branching of subplate neurons also implies that information conferred to subplate neurons may be relayed, in turn, to the neurons of cortical layer 4. Finally with the death of subplate neurons, the geniculocortical axons leave the subplate and invade the cortical plate to innervate directly the neurons of layer 4. Thus, subplate neurons may function as a crucial, but transient synaptic link between waiting geniculocortical axons and their ultimate target cells in the cortex.
Thread and Memory Placement on NUMA Systems: Asymmetry Matters

It is well known that the placement of threads and memory plays a crucial role for performance on NUMA (Non-Uniform Memory-Access) systems. The conventional wisdom is to place threads close to their memory, to collocate on the same node threads that share data, and to segregate on different nodes threads that compete for memory bandwidth or cache resources. While many studies addressed thread and data placement, none of them considered a crucial property of modern NUMA systems that is likely to prevail in the future: asymmetric interconnect. When the nodes are connected by links of different bandwidth, we must consider not only whether the threads and data are placed on the same or different nodes, but how these nodes are connected. We study the effects of asymmetry on a widely available ×86 system and find that performance can vary by more than 2× under the same distribution of thread and data across the nodes but different inter-node connectivity. The key new insight is that the best-performing connectivity is the one with the greatest total bandwidth as opposed to the smallest number of hops. Based on our findings we designed and implemented a dynamic thread and memory placement algorithm in Linux that delivers similar or better performance than the best static placement and up to 218% better performance than when the placement is chosen randomly.
CICEROBOT , A COGNITIVE ROBOT FOR MUSEUM TOURS

The paper describes CiceRobot, a robot based on a cognitive architecture for robot vision and action. The aim of the architecture is to integrate visual perception and actions with knowledge representation, in order to let the robot to generate a deep inner understanding of its environment. The principled integration of perception, action and of symbolic knowledge is based on the introduction of an intermediate representation based on Gärdenfors conceptual spaces. The architecture has been tested on a RWI B21 autonomous robot on tasks related with guided tours in the Archaeological Museum of Agrigento. Experimental results are presented.
Distinct Tryptophan Catabolism and Th17/Treg Balance in HIV Progressors and Elite Controllers

Tryptophan (Trp) catabolism into immunosuppressive kynurenine (Kyn) by indoleamine 2,3-dioxygenase (IDO) was previously linked to Th17/Treg differentiation and immune activation. Here we examined Trp catabolism and its impact on Th17/Treg balance in uninfected healthy subjects (HS) and a large cohort of HIV-infected patients with different clinical outcomes: ART-naïve, Successfully Treated (ST), and elite controllers (EC). In ART-naïve patients, increased IDO activity/expression, together with elevated levels of TNF-α and sCD40L, were associated with Treg expansion and an altered Th17/Treg balance. These alterations were normalized under ART. In contrast, Trp 2,3-dioxegenase (TDO) expression was dramatically lower in EC when compared to all other groups. Interestingly, EC displayed a distinctive Trp metabolism characterized by low Trp plasma levels similar to ART-naïve patients without accumulating immunosuppressive Kyn levels which was accompanied by a preserved Th17/Treg balance. These results suggest a distinctive Trp catabolism and Th17/Treg balance in HIV progressors and EC. Thus, IDO-induced immune-metabolism may be considered as a new inflammation-related marker for HIV-1 disease progression.
Development of the Chick Microbiome: How Early Exposure Influences Future Microbial Diversity

The concept of improving animal health through improved gut health has existed in food animal production for decades; however, only recently have we had the tools to identify microbes in the intestine associated with improved performance. Currently, little is known about how the avian microbiome develops or the factors that affect its composition. To begin to address this knowledge gap, the present study assessed the development of the cecal microbiome in chicks from hatch to 28 days of age with and without a live Salmonella vaccine and/or probiotic supplement; both are products intended to promote gut health. The microbiome of growing chicks develops rapidly from days 1–3, and the microbiome is primarily Enterobacteriaceae, but Firmicutes increase in abundance and taxonomic diversity starting around day 7. As the microbiome continues to develop, the influence of the treatments becomes stronger. Predicted metagenomic content suggests that, functionally, treatment may stimulate more differences at day 14, despite the strong taxonomic differences at day 28. These results demonstrate that these live microbial treatments do impact the development of the bacterial taxa found in the growing chicks; however, additional experiments are needed to understand the biochemical and functional consequences of these alterations.
Hybrid Output Feedback Stabilization of Two-DimensionalLinear Control

In the present paper, we solve for two-dimensional SISO linear control systems the open problem whether there exists nite-state hybrid output feedback to stabilize the systems. We show that under reasonable assumptions, such as stabilizability and detectability conditions, the answer to this question is aarmative for the case of 2-state output feedback. We also address a simulation procedure to locate the stabilizable regions for switched systems consisting of two subsystems. We demonstrate the applicability of our results by considering several speciic examples.
Modularity-Based Graph Clustering Using Harmony Search Algorithm

Real-world networks contain variety of meaningful information inside them that can be revealed. These networks can be biological, social, ecological and technological networks. Each of these contains specific information about their field. This information cannot be obtained with simple techniques. Various techniques and algorithms have been developed to uncover useful information from complex relationships inside the network. In this paper, to divide graphs according to modularity measure to subgraphs harmony search algorithm is used which is inspired by music improvisation. This algorithm has been tested with 5 different real-world networks. The obtained quantitative values for each network have been given in the tables. In addition the proposed algorithm, has achieved the best known modularity measure of Zachary's Karate Club network which is commonly used in the literature and the latest subsets generated according to this modularity measure has been given at the end of section V. According to the results obtained from experiments it has been observed that HM algorithm gives faster results on solution of problem addressed in this study than most algorithms like genetic algorithm and bat algorithm. However, the proposed algorithm requires a larger size of harmony memory and more number of iterations for maximum modularity values.