Miracle-dz/UniFAR-FTUs huggingface dataset:
Dimensions of Perfectionism in Children and Adolescents with Obsessive-compulsive Disorder.

OBJECTIVE To measure the association of perfectionism with obsessive-compulsive and depressive symptoms in children and adolescents with obsessive-compulsive disorder (OCD). METHOD Sample consisted of 94 youth (44 boys, 49 girls; mean age = 13.2 y, SD = 2.5 y) with a DSM-IV diagnosis of OCD. Perfectionism beliefs were measured with both the Adaptive/Maladaptive Perfectionism Scale (AMPS) and a 14-item version of the Child and Adolescents Perfectionism Scale (CAPS-14). Using a hierarchical linear-regression model, we measured the association of perfectionist beliefs with severity of OCD and depressive symptoms. RESULTS Both AMPS and CAPS-14 scores were associated with the severity of OCD symptoms in our sample. In addition, CAPS-14 scores were associated with the severity of depressive symptoms, even when OCD symptoms were taken into account. CONCLUSIONS Our findings lend further support to the hypothesis that perfectionism in youth with OCD is associated with variation in the severity of OCD and depressive symptoms.
The Complexity of Finding Multiple Solutions to Betweenness and Quartet Compatibility

We show that two important problems that have applications in computational biology are ASP-complete, which implies that, given a solution to a problem, it is NP-complete to decide if another solution exists. We show first that a variation of BETWEENNESS, which is the underlying problem of questions related to radiation hybrid mapping, is ASP-complete. Subsequently, we use that result to show that QUARTET COMPATIBILITY, a fundamental problem in phylogenetics that asks whether a set of quartets can be represented by a parent tree, is also ASP-complete. The latter result shows that Steel's QUARTET CHALLENGE, which asks whether a solution to QUARTET COMPATIBILITY is unique, is coNP-complete.
The evolved B[e] star HD 87643: observations and a radiation‐driven disc wind model for B[e] stars

New high resolution spectroscopic and medium resolution spectropolarimetric data, complemented with optical broad and narrow band imaging, of the B[e] star HD 87643 are presented. The spectrum of HD 87643 exhibits the hybrid characteristics well known to be representative of the group of B[e] stars; a fast wind with an expansion velocity in excess of 1000 km s 1 is measured in the hydrogen and helium lines, while a slower component is traced by lower excitation lines and forbidden lines. Clues to the geometry of the rapidly expanding circumstellar shell are provided by the startling polarization changes across H�. Comparison with published schematic calculations indicates that the polarizing material is located in a slowly rotating, expanding disk structure. A hydrodynamical model is then presented whose results are consistent with the original two-wind concept for B[e] stars and exhibits kinematic properties that may well explain the observed spectral features in HD 87643. The model calculations use as input a B star undergoing mass loss, surrounded by an optically thick disk. The resulting configuration consists of a fast polar wind from the star and a slowly expanding disk wind. The model also predicts that the stellar wind at intermediate latitudes is slower and denser than in the polar region.
Gender and number processing in spoken french and spanish: 2711

Two experiments were conducted in auditory modality to test the effect of gender and number agreement on lexical decisions in French and Spanish. Each target word was preceded by a determiner that either agreed both in gender and number, or disagreed in number, or disagreed in gender. In both experiments, targets testing gender were animate referring nouns of variable gender. Given that the regular plural form is not audible in French nouns, different items were used to test number and gender in this language, while the same items were used to test both features in Spanish. Results showed that reaction times in the incongruent conditions were always longer than those in the congruent conditions. The difference between number and gender items in French induced a violation type main effect which was not observed in Spanish. Beside this difference due to the French materials, results in both languages were very similar. In particular, both experiments revealed an interaction between grammatical relation (congruent, incongruent) and violation type (number, gender). Namely, gender violations were more disruptive than number violations. This pattern, which was never observed in the visual modality, is discussed with regard to current linguistic proposals concerning the representation of number and gender, and an explanation of the interaction in psycholinguistic terms is suggested. *
Developing a pedagogical problem solving view for mathematics teachers with two reflection programs

The study investigated the effects of two reflection support programs on elementary school mathematics teachers’ pedagogical problem solving view. Sixty-two teachers participated in a professional development program. Thirty teachers were assigned to the self-questioning (S_Q) training and thirty two teachers were assigned to the reflection discourse (R_D) training. The S_Q program was based on the IMPROVE self-questioning approach which emphasizes systematic discussion along the phases of mathematical or pedagogical problem solving as student and teacher. The R_D program emphasized discussion of standard based teaching and learning principles. Findings indicated that systematic reflection support (S_Q) is effective for developing mathematics PCK, and strengthening metacognitive knowledge of mathematics teachers, more than reflection discourse (R_D). No differences were found between the groups in developing beliefs about teaching mathematics in using problem solving view.
On the prediction of gas–solid flows with two-way coupling using large eddy simulation

The purpose of this paper is to examine the feasibility of large eddy simulation (LES) for predicting gas–solid flows in which the carrier flow turbulence is modified by momentum exchange with particles. Several a priori tests of subgrid-scale (SGS) turbulence models are conducted utilizing results from direct numerical simulation (DNS) of a forced homogeneous isotropic turbulent flow with the back effect of the particles modeled using the point-force approximation. Properties of the subgrid-scale field are computed by applying Gaussian filters to the DNS database. Similar to the behavior observed in single-phase flows, a priori test results show that, while the local energy flux is inaccurately estimated, the overall SGS dissipation is reasonably predicted using the conventional Smagorinsky model and underestimated using the Bardina scale-similarity model. Very good agreement between model predictions and DNS results are measured using closures whose coefficients are computed using the resolved field, th.
PENGEMBANGAN BAHAN AJAR FISIKA BERBASIS MAJALAH SISWA PINTAR FISIKA (MSPF) PADA PEMBELAJARAN IPA DI SMP (Pokok Bahasan Gerak Pada Benda)

This research is development research focused on the teaching material of physics based on Smart Student Physics Magazine (MSPF). The objectives of the research are to study validation, motivation, and students' achievement by teaching material of physics based on (MSPF) on science learning at junior high school (focused on motion of the object material). Design of development research uses 4-D model. The population of the research is the students of class VIII at SMPN 1 Jenggawah, while the sample is class VIII B. The data collection technique are observation, documentation, test, and interview. The descriptive analysis of validation and motivation used percentage table of validation logic and criteria of students' learning motivation assessment. The descriptive analysis of students' physics outcomes used the average score of students learning outcomes. The result of problem formulation showed that fair validation score from experts is 3,99 categorized as valid enough and can be used on learning activity. The average score of students learning motivation is 80,04% and it is categorized on the category of motivated. The students science average achievement on affectiveis 82,76, on psychomotor is 94,92 and on cognitive is 71. It can be concluded that teaching material of physics based on developed (MSPF) is categorized as valid enough. However, it cannot create an outstanding outcomes yet in each domains.
Iterative Route Planning for Modular Transportation Simulation

The TRANSIMS (TRansportation ANalysis and SIMulation System) project is a large scale transportation system project produced by Los Alamos National Laboratory for transportation planning. In TRANSIMS, all processes are represented on the microscopic level. These processes range from decisions of individuals about their daily activities all the way to signal operations and traffic movements. TRANSIMS consists of several modules, some of which are listed here: Route planner , which generates travel plans for each driver. Micro-simulation, which executes all plans simultaneously and in consequence computes the interaction between different travelers, leading e.g. to congestion. Feedback:The above modules are interdependent. For example, plans depend on congestion but congestion depends on plans. This is solved via an iterative method, where an initial plans set is slowly adapted until it is consistent with the resulting travel conditions. As part of the eventual goal of implementing the TRANSIMS software for all of Switzerland, we are running simulations on a test-case with the Switzerland transportation network. We use a similar simulation framework as found in TRANSIMS, but with our own, simpler versions of the three modules. We discuss the operation and interaction of these modules, and bring to light a combined flaw in our route planner and feedback modules. This flaw initially caused several unrealistic simulation results, such as freeways being avoided by vehicles in favor of lower-capacity roads. We illustrate several improvements made to the modeling logic of the modules in an effort to correct these problems, and compare simulation results from the various methods. We also discuss the results of our most substantial improvement, which is the addition of a database that gives each driver a “memory” of its past routes from earlier iterations, plus the performance of those routes. When a new plan-set is generated, each driver chooses a route from those in its memory, based on their relative performance. This solution appears to be very robust, because it does not depend on having a route planner that works perfectly all the time.
Effect of ATP-sensitive K+ channel regulators on cystic fibrosis transmembrane conductance regulator chloride currents

The cystic fibrosis transmembrane conductance regulator (CFTR) is a Cl- channel that is regulated by cAMP-dependent phosphorylation and by intracellular ATP. Intracellular ATP also regulates a class of K+ channels that have a distinct pharmacology: they are inhibited by sulfonylureas and activated by a novel class of drugs called K+ channel openers. In search of modulators of CFTR Cl- channels, we examined the effect of sulfonylureas and K+ channel openers on CFTR Cl- currents in cells expressing recombinant CFTR. The sulfonylureas, tolbutamide and glibenclamide, inhibited whole-cell CFTR Cl- currents at half-maximal concentrations of approximately 150 and 20 microM, respectively. Inhibition by both agents showed little voltage dependence and developed slowly; > 90% inhibition occurred 3 min after adding 1 mM tolbutamide or 100 microM glibenclamide. The effect of tolbutamide was reversible, while that of glibenclamide was not. In contrast to their activating effect on K+ channels, the K+ channel openers, diazoxide, BRL 38227, and minoxidil sulfate inhibited CFTR Cl- currents. Half- maximal inhibition was observed at approximately 250 microM diazoxide, 50 microM BRL 38227, and 40 microM minoxidil sulfate. The rank order of potency for inhibition of CFTR Cl- currents was: glibenclamide < BRL 38227 approximately equal to minoxidil sulfate > tolbutamide > diazoxide. Site-directed mutations of CFTR in the first membrane- spanning domain and second nucleotide-binding domain did not affect glibenclamide inhibition of CFTR Cl- currents. However, when part of the R domain was deleted, glibenclamide inhibition showed significant voltage dependence. These agents, especially glibenclamide, which was the most potent, may be of value in identifying CFTR Cl- channels. They or related analogues might also prove to be of value in treating diseases such as diarrhea, which may involve increased activity of the CFTR Cl- channel.
Exploiting probe data to estimate the queue profile in urban networks

Queues at signalized intersections are one of the main causes of traffic delays and urban traffic state variability. Hence, a method to estimate queue characteristics provides a better understanding of urban traffic dynamics and a performance measurement of signalized arterials. In order to capture the evolution of queues, we aim at leveraging the collective effect of spatially and temporally dispersed probe data to identify the formation and dissipation of queues in the time-space plane. The queue profile characterizes the evolution of both queue front and back, which consequently can be separated in a two-step estimation process resulting to the queue profile polygon. The evolution of queue front, in the time-space diagram, based on the kinematic traffic shockwave theory is modeled as a line with the known slope of queue-discharging shockwave and estimated with a constrained optimization and a technique known as support vector machine. The evolution of back of queue is more challenging and modeled as a piecewise linear function where slope of segments is between the queue-discharging shockwave and zero. In the proposed method, the input data consists of position and velocity of probe vehicles. The queue profile estimation method does not require any explicit information of signal settings and arrival distribution. The proposed method is tested with various penetration rates and sampling intervals of probe data, which reveals promising results once compared to a uniform arrival queue profile estimation procedure. The proposed method could be beneficial for spillback identification, vehicle trajectory construction, and fuel consumption and emission estimation.
Making an effort to feel positive: insecure attachment in infancy predicts the neural underpinnings of emotion regulation in adulthood

Background Animal research indicates that the neural substrates of emotion regulation may be persistently altered by early environmental exposures. If similar processes operate in human development then this is significant, as the capacity to regulate emotional states is fundamental to human adaptation. Methods We utilised a 22-year longitudinal study to examine the influence of early infant attachment to the mother, a key marker of early experience, on neural regulation of emotional states in young adults. Infant attachment status was measured via objective assessment at 18-months, and the neural underpinnings of the active regulation of affect were studied using fMRI at age 22 years. Results Infant attachment status at 18-months predicted neural responding during the regulation of positive affect 20-years later. Specifically, while attempting to up-regulate positive emotions, adults who had been insecurely versus securely attached as infants showed greater activation in prefrontal regions involved in cognitive control and reduced co-activation of nucleus accumbens with prefrontal cortex, consistent with relative inefficiency in the neural regulation of positive affect. Conclusions Disturbances in the mother–infant relationship may persistently alter the neural circuitry of emotion regulation, with potential implications for adjustment in adulthood.
Social Service or Social Change

I first began thinking about this issue when the Oakland Men’s Project was established in 1979. At that time, we were responding to women in the domestic violence, sexual assault prevention, and child sexual assault prevention movements. When asked what we could do as men they said that they had their hands full dealing with the survivors of male violence and trying to get institutions to respond to these issues. But we were told that since it was men who were the perpetrators of most of the violence, men were needed to address other men. Many men in the country who heard that initial call started batterers’ intervention programs, working with men individually and in small groups to help them stop their violent behaviors. At the Oakland Men’s Project we were involved in these efforts, yet we felt that in order to end male violence we needed more than groups for individual men who were violent. We committed to build an organization which, through community prevention and education, could contribute to ending violence, not just “reforming” individual perpetrators.
Socially compliant mobile robot navigation via inverse reinforcement learning

Mobile robots are increasingly populating our human environments. To interact with humans in a socially compliant way, these robots need to understand and comply with mutually accepted rules. In this paper, we present a novel approach to model the cooperative navigation behavior of humans. We model their behavior in terms of a mixture distribution that captures both the discrete navigation decisions, such as going left or going right, as well as the natural variance of human trajectories. Our approach learns the model parameters of this distribution that match, in expectation, the observed behavior in terms of user-defined features. To compute the feature expectations over the resulting high-dimensional continuous distributions, we use Hamiltonian Markov chain Monte Carlo sampling. Furthermore, we rely on a Voronoi graph of the environment to efficiently explore the space of trajectories from the robot’s current position to its target position. Using the proposed model, our method is able to imitate the behavior of pedestrians or, alternatively, to replicate a specific behavior that was taught by tele-operation in the target environment of the robot. We implemented our approach on a real mobile robot and demonstrated that it is able to successfully navigate in an office environment in the presence of humans. An extensive set of experiments suggests that our technique outperforms state-of-the-art methods to model the behavior of pedestrians, which also makes it applicable to fields such as behavioral science or computer graphics.
Gaussian Classifier-Based Evolutionary Strategy for Multimodal Optimization

This paper presents a Gaussian classifier-based evolutionary strategy (GCES) to solve multimodal optimization problems. An evolutionary technique for them must answer two crucial questions to guarantee its success: how to distinguish among the different basins of attraction and how to safeguard the already discovered good-quality solutions including both global and local optima. In GCES, multimodal optimization problems are regarded as classification ones, and Gaussian mixture models are employed to save the locations and basins of already and presently identified local or global optima. A sequential estimation technique for the covariance of a Gaussian model is introduced into GCES. To best adjust the global step size, a strategy named top-ranked sample selection is introduced, and a classification method instead of a common but problematic radius-triggered manner is proposed. Experiments are performed on a series of benchmark test functions to compare GCES with the state-of-the-art multimodal optimization approaches. The results show that GCES is not only simple to program and understand, but also provides better and consistent performance.
adpt : A Differentially Private Tool for Adaptive Data Analysis

Statistical analysis forms the quantitative backbone for research across a variety of fields. Textbook statistics requires that hypotheses and methods be chosen prior to gathering data. Unfortunately, this is impractical; researchers instead choose statistical methods in response to the data to which those methods will be applied, a process known as adaptive data analysis. This allows researchers to iteratively design studies based upon intermediate results, but can lead to spurious conclusions because it invalidates assumptions underpinning statistics. We approach this issue both practically and theoretically. We apply current research in differential privacy in an implementation that mitigates the negative consequences of adaptive data analysis. Next, we investigate conditions in which our tool is effective and compare its performance to other, similarly-motivated approaches.
Efficient training for fingerprint based positioning using matrix completion

Fingerprint localization methods are extensively used in many location-aware applications in pervasive computing. In this paper, we propose a new framework in order to reduce the exhaustive calibration procedure during the training phase in fingerprint-based systems. In particular, we minimize the number of Received Signal Strength (RSS) fingerprints by sensing a subset of the available channels in a WLAN. We exploit the spatial correlation structure of the RSS fingerprints to reconstruct the signature map. The problem is formulated according to the recently introduced Matrix Completion (MC) framework, which provides a new paradigm for reconstructing low rank data matrices from a small number of randomly sampled entries. Analytical studies and simulations are provided to show the performance of the proposed technique in terms of reconstruction and location error.
Application of Microsimulation Towards Modelling of Behaviours in Complex Environments

In this paper, we introduce new capabilities to our existing microsimulation framework, Simulacron. These new capabilities add the modelling of behaviours based on motivations and improve our existing non-deterministic movement capacity. We then discuss the application of these new features to a simple, synthetic, proof of concept, scenario involving the transit of people through a corridor and how an induced panic affects their throughput. Finally we describe a more complex scenario, which is currently under development, involving the detonation of an explosive device in a major metropolitan transport hub at peak hour and the analysis of subsequent reaction.
New and Emerging Strategies in Platelet-Rich Plasma Application in Musculoskeletal Regenerative Procedures: General Overview on Still Open Questions and Outlook

Despite its pervasive use, the clinical efficacy of platelet-rich plasma (PRP) therapy and the different mechanisms of action have yet to be established. This overview of the literature is focused on the role of PRP in bone, tendon, cartilage, and ligament tissue regeneration considering basic science literature deriving from in vitro and in vivo studies. Although this work provides evidence that numerous preclinical studies published within the last 10 years showed promising results concerning the application of PRP, many key questions remain unanswered and controversial results have arisen. Additional preclinical studies are needed to define the dosing, timing, and frequency of PRP injections, different techniques for delivery and location of delivery, optimal physiologic conditions for injections, and the concomitant use of recombinant proteins, cytokines, additional growth factors, biological scaffolds, and stems cells to develop optimal treatment protocols that can effectively treat various musculoskeletal conditions.