Miracle-dz/UniFAR-FTUs huggingface dataset:
Shame and social anxiety in adolescence: the experience of shame scale for adolescents

Symptoms associated with social anxiety disorder and shame arise mainly during early adolescence, which is expected to happen given that it is a period of great development. All these changes call attention to the self and its exposure and shame experiences recruit anxiety and are typically associated with the perception that the individual is being submitted to the scrutiny by others. Firstly this study explores the psychometric properties of the Experience of Shame Scale (ESS) in a Portuguese adolescent sample (N=326). This self-report measure assesses three types of shame (characterological, behavioral and bodily shame) and was used in the second study to explore the relationship between social anxiety and shame among different groups [individuals with social anxiety disorder (N=45), individuals with other anxiety disorders (N=24) and individuals with no psychopathology (N=33)]. Social anxiety was also assessed using self-report questionnaires. In the clinical groups, diagnoses were confirmed with ADISIV. The ESS reveals good psychometrics properties. Shame was positive and significantly correlated with social anxiety among adolescents with social anxiety disorder. The ESS’s total score and the characterological and behavioral shame factors were significant predictors of social anxiety. These results suggest that the ESS is a valid instrument for clinical assessment and research on adolescent social anxiety disorder.
Automatic Retinal Vasculature Structure Tracing and Vascular Landmark Extraction from Human Eye Image

We present an effective algorithm for automatic tracing of vasculature structures and vascular landmark extraction of bifurcations and ending points. In this paper we deal with vascular patterns from digital images for personal identification. Vessel tracing algorithms are of interest in a variety of biometric and medical application such as personal identification, biometrics, and ophthalmic disorders like vessel change detection. However eye surface vasculature tracing has many problems which are subject to improper illumination, glare, fade-out, shadow and artifacts arising from reflection, refraction, and dispersion. The proposed algorithm on vascular tracing employs multi-stage processing of ten-layers as followings: Image Acquisition, Image Enhancement by gray scale retinal image enhancement, reducing background artifact and illuminations and removing interlacing minute characteristics of vessels, Vascular Structure Extraction by connecting broken vessels, extracting vascular structure using eight directional information, and extracting retinal vascular structure. Vascular Landmark Extraction of bifurcations and ending points. The results of automatic retinal vessel extraction using five different thresholds applied 34 eye images are presented. The results of vasculature tracing algorithm shows that the suggested algorithm can obtain not only robust and accurate vessel tracing but also vascular landmarks according to thresholds.
Traveler Centric Trip Planning: A Behavioral-Driven System

Trip planning is a well-cited problem that has been typically addressed, to a large extent, as a shortest distance path-finding problem that can be extended to reflect temporal objectives and/or constraints. This paper takes an alternative perspective to the trip-planning problem in the sense of it being a behavioral driven problem, thus allowing for multitudes of traveler centric objectives and constraints, as well as aspects of the environment, as they pertain to the traveler preferences to be incorporated in the process. This paper introduces a Behavior Driven Trip Planner (BDTP) to operate as an in-vehicle guidance system. The BDTP is designed as a modular system that combines linguistic road assessment with traveler-centric decision-making. This paper introduces traveler's doctrines, a concept that synthesizes the traveler's specific demands. Hard attributes/objectives, such as time windows and trip monetary allowances, are enforced in the process of determining the final decision about the trip. This paper introduces the underlying mathematical formulation for the developed system and explains how the formulation works to achieve the optimal performance. Simulation results are presented to demonstrate the efficacy of the system to capture and respond to traveler preferences under a wide range of scenarios.
A Microeconomic Analysis of the Aggregate Disconnect between Exchange Rates and Exports

We reconcile the conicting evidence between the aggregate and the microeconomic data on the exchange rate elasticity of exports. The estimation of typical macroeconomic export equations provides us with insigni cant estimates for this elasticity, while recent rm level evidence suggests signi cantly negative values. Using Japanese rm data, we estimate a monopolistic competition model of exporting rms, and show that the exchange rate elasticity of exports is signi cantly negative at both rm and aggregate levels, with consistent aggregation. We identify the preferences and technology parameters and nd the importance of decreasing returns to scale and the high elasticity of substitution among consumption goods in determining the magnitude of this elasticity. JEL Classi cation: F41, F12, C23, C43
A double-side filter based power line recognition method for UAV vision system

Automatic power line recognition from cluttered background is an important and challenging task for a vision based unmanned aerial vehicles (UAVs) power line inspection system. In this paper, we propose a power line recognition method based on liner object enhancement and parallel lines constraint. A new double-side filter is proposed to enhance the power lines, and then the radon transform is used to find the parallel lines as the power line recognition results. Our experiments on real image data captured from UAV demonstrate our method is effective for automatic power line recognition.
A Framework For Estimation of Convex Functions

A general non-asymptotic framework, which evaluates the performance of any procedure at individual functions, is introduced in the context of estimating convex functions at a point. This framework, which is significantly different from the conventional minimax theory, is also applicable to other problems in shape constrained inference. A benchmark is provided for the mean squared error of any estimate for each convex function in the same way that Fisher Information depends on the unknown parameter in a regular parametric model. A local modulus of continuity is in- troduced and is shown to capture the difficulty of estimating individual convex functions. A fully data-driven estimator is proposed and is shown to perform uni- formly within a constant factor of the ideal benchmark for every convex function. Such an estimator is thus adaptive to every unknown function instead of to a col- lection of function classes as is typical in the nonparametric function estimation literature.
Cross-Layer Modeling of Randomly Spread CDMA Using Stochastic Network Calculus

Code-division multiple-access (CDMA) has the potential to support traffic sources with a wide range of quality of service (QoS) requirements. The traffic carrying capacity of CDMA channels under QoS constraints (such as delay guarantee) is, however, less well-understood. In this work, we propose a method based on stochastic network calculus and large system analysis to quantify the maximum traffic that can be carried by a multiuser CDMA network under the QoS constraints. At the physical layer, we have linear minimum-mean square error receivers and adaptive modulation and coding, while the channel service process is modeled by using a finite-state Markov chain. We study the impact of delay requirements, violation probability and the user load on the traffic carrying capacity under different signal strengths. A key insight provided by the numerical results is as to how much one has to back-off from capacity under the different delay requirements.
Assessment of path reservation in distributed real-time vehicle guidance

In this paper we assess the impact of path reservation as an additional feature in our distributed real-time vehicle guidance protocol BeeJamA. Through our microscopic simulations we show that naïve reservation of links without any further measurements is only an improvement in case of complete market penetration, otherwise it even reduces the performance of our approach based on real-time link loads. Moreover, we modified the reservation process to incorporate current travel times and show that this improves the results in our simulations when at least 40% market penetration is possible.
User-differentiated channel recovery in multi-channel cognitive radio networks

Regarding the integration of services and applications, a requisite for the widely deployment of cognitive radio networks is the support of service differentiation to provide a higher reliable service for high priority traffic or nodes. In this paper, we propose a data structure called recovery table which is the set of the channel sensing orders of all cognitive radio links with different priority levels. A central entity (access point) is responsible to fill this table, so it is discussed how by appropriately filling this table, the access point can provide spectrum handover differentiation to increase network availability. As finding the optimal scheme is not efficiently realizable, different heuristic schemes are proposed and their performance is compared.
Transcriptomic analysis of three Veillonella spp. present in carious dentine and in the saliva of caries-free individuals

Veillonella spp. are predominant bacteria found in all oral biofilms. In this study, a metatranscriptomic approach was used to investigate the gene expression levels of three oral Veillonella spp. (V. parvula, V. dispar and V. atypica) in whole stimulated saliva from caries-free volunteers and in carious lesions (n = 11 for each group). In the lesions the greatest proportion of reads were assigned to V. parvula and genes with the highest level of expression in carious samples were those coding for membrane transport systems. All three Veillonella spp. increased expression of genes involved in the catabolism of lactate and succinate, notably the alpha- and beta-subunits of L(+)-tartrate dehydratase (EC 4.2.1.32). There was also significantly increased expression of histidine biosynthesis pathway in V. parvula, suggesting higher intra-cellular levels of histidine that could provide intra-cellular buffering capacity and, therefore, assist survival in the acidic environment. Various other systems such as potassium uptake systems were also up regulated that may aid in the survival and proliferation of V. parvula in carious lesions.
Reconstructing ultrasonic images and flaw detection in time-frequency domain by matching a-scan inspections

Time-frequency techniques are applied for mixing signals from a material inspected by a multiple sensor detection system. Ultrasonic sensors are located at the perimeter of a rectangular shaped material evaluated in a pulse-echo scheme. The resulting mixed signal becomes a high-resolution time-frequency image of the material. Different kinds of classification techniques can be applied to this image in order to obtain the defects in the material. In this paper, a simulation and experimental evaluation of the proposed approach are presented. Several time-frequency transforms and the fuzzy c-means are used. In the simulations, backscattering of the material grain is modelled by using Gaussian and K distributions with different signal to noise ratio parameters. The validity of the presented method is assessed through the detection and spatial location of artificial defects in a material with a rectangular shape. The performance of the classification technique in discerning defects buried in the backscattering from the material grain microstructure, is also discussed.
Improving Sentimental Classifications Using Contextual Sentences

This paper presented a new methodology, which helps improve the accuracy of sentimental polarity classification. Unlike most prior works which focused on lexical features at the word level, the methodology presented here attempts to include more contextual information by focusing on the sentence level. This paper proposes the following process: (1) train a classifier using word-level lexical features, (2) use the classifier to label each sentence in the document, (3) train another classifier based on the labeled sentences and classify accordingly.
An energy efficient routing and MAC protocol for Bridge Monitoring

Wireless sensor networks require protocols which are energy efficient to improve the network lifetime. This work mainly focuses on the cross-layer implementation that takes routing module and MAC module for the required application. At the routing layer unequal clustering is taken, which employe tunable range for cluster radius and eliminates the burden on nodes which are near to base station. At the MAC layer Timeout MAC is taken, which employe dynamic duty cycle that reduces the power consumption of node by making it to go to sleep state. This proposed model for the joint optimization system is tested by simulations in order to quantitatively evaluate the benefits of proposal. Castalia, which is based on OMNeT++ platform is used to evaluate the performance of the proposed protocol.
The Rousseff impeachment and the crisis of democracy in Brazil

ABSTRACT This is an article about the impeachment in Brazil. I argue that it was the result of the political crisis that takes place in the country since 2013. T his political crisis has at least two major components: (1) the first one is the collapse of the coalition presidential system associated with the ascension of a conservative group within the National Congress led by Eduardo Cunha ; (2) the second is a crisis of representation expressed by the increase of illegal campaign financing and the influence of money in Congress. Together, the opposition and the conservative block of the PMDB blocked every move of Dilma Rousseff’s administration and proposed moral and economic conservative legislations. After impeaching the president, this group is proposing legislations that pose under threat the democratic system built in the country after 1988.
Collisional erosion and the non-chondritic composition of the terrestrial planets

The compositional variations among the chondrites inform us about cosmochemical fractionation processes during condensation and aggregation of solid matter from the solar nebula. These fractionations include: (i) variable Mg–Si–RLE ratios (RLE: refractory lithophile element), (ii) depletions in elements more volatile than Mg, (iii) a cosmochemical metal–silicate fractionation, and (iv) variations in oxidation state. Moon- to Mars-sized planetary bodies, formed by rapid accretion of chondrite-like planetesimals in local feeding zones within 106 years, may exhibit some of these chemical variations. However, the next stage of planetary accretion is the growth of the terrestrial planets from approximately 102 embryos sourced across wide heliocentric distances, involving energetic collisions, in which material may be lost from a growing planet as well as gained. While this may result in averaging out of the ‘chondritic’ fractionations, it introduces two non-chondritic chemical fractionation processes: post-nebular volatilization and preferential collisional erosion. In the latter, geochemically enriched crust formed previously is preferentially lost. That post-nebular volatilization was widespread is demonstrated by the non-chondritic Mn/Na ratio in all the small, differentiated, rocky bodies for which we have basaltic samples, including the Moon and Mars. The bulk silicate Earth (BSE) has chondritic Mn/Na, but shows several other compositional features in its pattern of depletion of volatile elements suggestive of non-chondritic fractionation. The whole-Earth Fe/Mg ratio is 2.1±0.1, significantly greater than the solar ratio of 1.9±0.1, implying net collisional erosion of approximately 10 per cent silicate relative to metal during the Earth's accretion. If this collisional erosion preferentially removed differentiated crust, the assumption of chondritic ratios among all RLEs in the BSE would not be valid, with the BSE depleted in elements according to their geochemical incompatibility. In the extreme case, the Earth would only have half the chondritic abundances of the highly incompatible, heat-producing elements Th, U and K. Such an Earth model resolves several geochemical paradoxes: the depleted mantle occupies the whole mantle, is completely outgassed in 40Ar and produces the observed 4He flux through the ocean basins. But the lower radiogenic heat production exacerbates the discrepancy with heat loss.
Myosin II Motor Proteins with Different Functions Determine the Fate of Lamellipodia Extension during Cell Spreading

Non-muscle cells express multiple myosin-II motor proteins myosin IIA, myosin IIB and myosin IIC transcribed from different loci in the human genome. Due to a significant homology in their sequences, these ubiquitously expressed myosin II motor proteins are believed to have overlapping cellular functions, but the mechanistic details are not elucidated. The present study uncovered a mechanism that coordinates the distinctly localized myosin IIA and myosin IIB with unexpected opposite mechanical roles in maneuvering lamellipodia extension, a critical step in the initiation of cell invasion, spreading, and migration. Myosin IIB motor protein by localizing at the front drives lamellipodia extension during cell spreading. On the other hand, myosin IIA localizes next to myosin IIB and attenuates or retracts lamellipodia extension. Myosin IIA and IIB increase cell adhesion by regulating focal contacts formation in the spreading margins and central part of the spreading cell, respectively. Spreading cells expressing both myosin IIA and myosin IIB motor proteins display an organized actin network consisting of retrograde filaments, arcs and central filaments attached to focal contacts. This organized actin network especially arcs and focal contacts formation in the spreading margins were lost in myosin IIÂ cells. Surprisingly, myosin IIB̂ cells displayed long parallel actin filaments connected to focal contacts in the spreading margins. Thus, with different roles in the regulation of the actin network and focal contacts formation, both myosin IIA and IIB determine the fate of lamellipodia extension during cell spreading.
POLYVIEW: a flexible visualization tool for structural and functional annotations of proteins

UNLABELLED The POLYVIEW visualization server can be used to generate protein sequence annotations, including secondary structures, relative solvent accessibilities, functional motifs and polymorphic sites. Two-dimensional graphical representations in a customizable format may be generated for both known protein structures and predictions obtained using protein structure prediction servers. POLYVIEW may be used for automated generation of pictures with structural and functional annotations for publications and proteomic on-line resources. AVAILABILITY http://polyview.cchmc. org.
Bayesian Event History Analysis with Applications to Recurrent Episodes of Illicit Drug Use - eScholarship

Illicit drug use and concomitant problems such as high incarceration rates pose tremendous challenges to those directly involved and to society as a whole. In recent years, many medical, public health, and social science researchers have conducted studies to characterize the nature of these problems and look for potential solutions. These studies often record events such as subjects relapsing into drug use following periods of abstinence, and interest centers on finding or assessing the impact of risk factors for event occurrence. While analyses of these studies have often employed advanced statistical techniques borrowed from the social science literature, there have been few applications of modern Bayesian techniques or advanced event time models. In this dissertation, we develop a general Bayesian event history model with supporting computing tools, and we apply this work in a substance abuse context.Because the field of survival and event history analysis is so broad, we first provide an extensive review of concepts and literature relevant to our subsequent methodological work. We then describe in detail our general Bayesian event history model. This model combines a number of features which are frequently omitted from analyses because available event time analysis software does not allow their simultaneous use. These features include simultaneous semiparametric incorporation of multiple continuous time-varying covariates, multiple event types or competing risks, and recurrent at-risk episodes. We provide novel Markov chain Monte Carlo (MCMC) algorithms for obtaining posterior inferences from this model, evaluate their performance, and apply them to data on recurrent episodes of cocaine use in a population of illicit drug users.Next, we extend our general Bayesian event history model to a full multistate model for histories in which subjects pass in between discrete states. In these histories, the state transitions are the events of interest, and the numbers and types of covariates and possible transition events depend on the subject's current state. We apply this multistate model to lifetime histories of cocaine use and incarceration following first use of cocaine. Finally, we conclude the dissertation with a description of our software implementation of our models and a discussion of future projects.
Quasiclassical domains in a quantum universe

In this universe, governed fundamentally by quantum mechanical laws, characterized by indeterminism and distributed probabilities, classical deterministic laws are applicable over a wide range of time, place, and scale. We review the origin of these deterministic laws in the context of the quantum mechanics of closed systems, most generally, the universe as a whole. In this formulation of quantum mechanics, probabilities are predicted for the individual members of sets of alternative histories of the universe that decohere, i.e., for which there is negligible interference between pairs of histories in the set as measured by a decoherence functional. An expansion of the decoherence functional in the separation between histories allows the form of the phenomenological, deterministic equations of motion to be derived for suitable coarse grainings of a class of non-relativistic systems, including ones with general non-linear interactions. More coarse graining is needed to achieve classical predictability than naive arguments based on the uncertainty principle would suggest. Coarse graining is needed to effect decoherence, and coarse graining beyond that to achieve the inertia necessary to resist the noise that mechanisms of decoherence produce. Sets of histories governed largely by deterministic laws constitute the quasiclassical domain of everyday experience which is an emergent feature of the closed system’s initial condition and Hamiltonian. We analyse the question of the sensitivity of the existence of a quasiclassical domain to the particular form of the initial condition. We find that almost any initial condition will exhibit a quasiclassical domain of some sort, but only a small fraction of the total number of possible initial states could reproduce the everyday quasiclassical domain of our universe. ∗ Talk given at the Lanczos Centenary Meeting, North Carolina State University, December 15, 1993. † Department of Physics, University of California, Santa Barbara, CA 93106-9530.