Miracle-dz/UniFAR-FTUs huggingface dataset:
Modular Cognitive-Behavioral Therapy for a Young Adult With Autism Spectrum Disorder, Comorbid Obsessive Compulsive Disorder, and Social Anxiety Disorder

This case report outlines the use of a modular cognitive-behavioral therapy (CBT) protocol used to treat obsessive compulsive disorder (OCD) and social anxiety disorder (SAD) in an 18-year-old female, “Jaina,” with autism spectrum disorder (ASD). Jaina completed 16 weekly CBT sessions that lasted approximately 60 min each. On completing the program, Jaina’s symptom severity for treatment targets of OCD and SAD had reduced based on the Anxiety and Related Disorders Interview Schedule for Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; ADIS-5). In addition, overall anxiety symptom severity reduction was evident at posttreatment based on the Clinical Global Impression of Severity (CGI-S). This case report supports the use of a modular CBT program (developed for late adolescents and young adults with ASD and comorbid anxiety/OCD) for OCD and SAD.
A new method of Evolving Boolean Function based on gene expression programming

Evolutionary encryption is a new focus in recent research work. The new method of design encryption is to combine evolution algorithm with encryption designing. Boolean function is very import in encryption. The traditional method of optimizing Boolean function is algebra method which is slow and difficult. We propose an optimization algorithm for the Boolean function based on GEP. Comparing to the other methods, the method is not only fast but also the Boolean function found is very well even the dimension is high.
Study on the Evaluation System of Individual Credit Risk in commercial banks based on data mining

Individual credit risk has become the major risk of commercial banks in China all long. This paper proposes an Individual Credit Risk Evaluation System (ICRES) using data mining technology, with the aid of the concept of “feed forward control” in management theory as well as the reality in China. Using the information gain method to screen the alternative indicators and identify indicators that have greater impact on the classification prediction. Appling logistic regression modeling method to predict the individual credit risk. The two parts above are the innovation and the main contribution of the paper. Finally, we made concrete examples illustrate the application of the ICRES.
Question Answering over Structured Data: an Entailment-Based Approach to Question Analysis

This paper addresses question analysis in the framework of Question Answering over structured data. The problem is set as a relation extraction task, where all the relations of interest in a given domain have to be extracted from natural language questions. The proposed approach applies the notion of Textual Entailment to compare the input questions with a repository of relational textual patterns. The underlying assumption is that a question expresses a certain relation if a pattern for that relation is entailed by the question. We report on a number of experiments, testing di! erent simple distancebased entailment algorithms over a dataset of 1487 English questions covering the domain of cultural events in a town, and 75 relations that are relevant in this domain. The positive results obtained demonstrate the feasibility of the overall approach, and its e! ectiveness in the proposed QA scenario.
A Model of Competitive Impression Management: Edison versus Westinghouse in the War of the Currents

Organizational impression management theory traditionally explains how firms manage threats from specific events or from campaigns orchestrated by non-competitors, such as activists or regulators, but has not attempted to explain the complex dynamics of impression management campaigns orchestrated by a firm’s competitor. To address this oversight, we analyze one of the bitterest rivalries in corporate history—the war of the currents between Thomas Edison and George Westinghouse, which ended in the triumph of Westinghouse’s alternating current over Edison’s direct current for electric power transmission. We define competitive impression management as activity by a firm or its employees that is intended to alter the perceptions of a competing firm or its offerings in the eyes of a common audience. By combining historical case study and grounded theory methods, our findings reveal that the war of the currents unfolded across distinct chronological stages dependent on the actions and reactions of others that were shaped by audiences’ information filters. We explore the implications of our theory of campaigns and their consequences, expanding the scope of impression management theory, deepening our understanding of how organizations compete, and providing fertile ground for future research on market-based campaigns.
A large-scale Japanese CFG derived from a syntactically annotated corpus and its evaluation

Although large-scale grammars are prerequisite for parsing a great variety of sentences, it is difficult to build such grammars by hand. Yet, it is possible to build a context-free grammar (CFG) by deriving it from a syntactically annotated corpus. Many such corpora have been built recently to obtain statistical information concerning corpus-based NLP technologies. For English, it is well known that a CFG derived from the Penn Treebank corpus (tree-bank grammar) can parse sentences with high accuracy and coverage although the method for deriving a CFG is very simple [1]. Actually, there have been quite a few studies concerning this kind of grammars. For Japanese, however, CFGs cannot be derived using the Charniak’s method since there is no large-scale syntactically annotated corpus such as the Penn Treebank corpus 1. Therefore such corpus needs to be developed to enable derivation of a large-scale CFG. However, even if a large-scale, syntactically annotated corpus were already available, a CFG derived from it can be unsatisfactory, in as it creates a great number of possible parses (in average more than 1012, according to our preliminary experiment). Too many parse results do not only reduce the parsing accuracy and parsing speed, but also require larger memory to parse and store long sentences. Although Charniak has removed some CFG rules (e.g. rules occurring only once
Rab3-interacting molecules 2α and 2β promote the abundance of voltage-gated CaV1.3 Ca2+ channels at hair cell active zones

Significance Sound encoding relies on Ca2+-regulated transmitter release from inner hair cells (IHCs). Here we demonstrate a role of Ras-related in brain 3 (Rab3)–interacting molecule 2 (RIM2) in Ca2+ channel-clustering and vesicle-tethering at the active zones of IHCs. Active zones of RIM2α-deficient IHCs cluster fewer synaptic voltage-gated CaV1.3 Ca2+ channels, resulting in reduced synaptic Ca2+ influx. Exocytosis was diminished in RIM2α-deficient IHCs, likely contributing to the mild hearing impairment of RIM2α knockout mice. Hair cell-specific disruption of all RIM2 isoforms caused a stronger decrease of Ca2+ current and exocytosis in IHCs and impaired the encoding of sound onset in spiral ganglion neurons. We conclude that RIM2α and RIM2β promote synaptic clustering of Ca2+ channels at IHC active zones and are required for normal hearing. Ca2+ influx triggers the fusion of synaptic vesicles at the presynaptic active zone (AZ). Here we demonstrate a role of Ras-related in brain 3 (Rab3)–interacting molecules 2α and β (RIM2α and RIM2β) in clustering voltage-gated CaV1.3 Ca2+ channels at the AZs of sensory inner hair cells (IHCs). We show that IHCs of hearing mice express mainly RIM2α, but also RIM2β and RIM3γ, which all localize to the AZs, as shown by immunofluorescence microscopy. Immunohistochemistry, patch-clamp, fluctuation analysis, and confocal Ca2+ imaging demonstrate that AZs of RIM2α-deficient IHCs cluster fewer synaptic CaV1.3 Ca2+ channels, resulting in reduced synaptic Ca2+ influx. Using superresolution microscopy, we found that Ca2+ channels remained clustered in stripes underneath anchored ribbons. Electron tomography of high-pressure frozen synapses revealed a reduced fraction of membrane-tethered vesicles, whereas the total number of membrane-proximal vesicles was unaltered. Membrane capacitance measurements revealed a reduction of exocytosis largely in proportion with the Ca2+ current, whereas the apparent Ca2+ dependence of exocytosis was unchanged. Hair cell-specific deletion of all RIM2 isoforms caused a stronger reduction of Ca2+ influx and exocytosis and significantly impaired the encoding of sound onset in the postsynaptic spiral ganglion neurons. Auditory brainstem responses indicated a mild hearing impairment on hair cell-specific deletion of all RIM2 isoforms or global inactivation of RIM2α. We conclude that RIM2α and RIM2β promote a large complement of synaptic Ca2+ channels at IHC AZs and are required for normal hearing.
Trip Synopsis: 60km in 60sec

Computerized route planning tools are widely used today by travelers all around the globe, while 3D terrain and urban models are becoming increasingly elaborate and abundant. This makes it feasible to generate a virtual 3D flyby along a planned route. Such a flyby may be useful, either as a preview of the trip, or as an after‐the‐fact visual summary. However, a naively generated preview is likely to contain many boring portions, while skipping too quickly over areas worthy of attention.
Model Based on Measurements in Live Networks

In UMTS system level simulations DCH BLER models are used to represent the characteristics of lower layers in order to save simulation time. Usually DCH BLER statistics are taken from link level simulations or only certain fixed values for DCH BLER are used for system level simulations. In this paper we present measurements of UMTS DL DCH BLER for 360kbit/s UDP data traffic (372kbit/s incl. UDP/IP overhead) in different mobility scenarios for three different UMTS networks in Vienna, Austria. We show in particular that the DL DCH BLER statistics do not vary much when low or high user mobility is given. Furthermore, performance differences in DL DCH BLER statistics of fixed bearer vs. dynamic bearer switching are presented. Following the obtained statistics we develop a model for the UMTS DCH and we show that it is capable of properly describing the characteristics of the wireless channel.
Finite-dimensional representations of quantum affine algebras at roots of unity

We describe explicitly the canonical map X : Spec UE (B) -* Spec ZE, where U? (B) is a quantum loop algebra at an odd root of unity E. Here ZE is the center of UE(g) and Spec R stands for the set of all finite- dimensional irreducible representations of an algebra R. We show that Spec Z, is a Poisson proalgebraic group which is essentially the group of points of G over the regular adeles concentrated at 0 and oo. Our main result is that the image under X of Spec U,(b) is the subgroup of principal adeles. DEPARTMENT OF MATHEMATICS, HARVARD UNIVERSITY, CAMBRIDGE, MASSACHUSETTS 02138 E-mail address: beckfmath . harvard. edu DEPARTMENT OF MATHEMATICS, MASSACHUSETTS INSTITUTE OF TECHNOLOGY, CAMBRIDGE, MASSACHUSETTS 02139 E-mail address: kacImath. mit. edu This content downloaded from 207.46. 13.124 on Wed, 22 Jun 2016 06:11:29 UTC All use subject to http://about.jstor. org/terms
Segmental duration control based on an articulatory model

This paper proposes a new method that determines segmental duration for text-to-speech conversion based on the movement of articulatory organs which compose an articulatory model. The articulatory model comprises four time-variable articulatory parameters representing the conditions of articulatory organs whose physical restriction seems to significantly influence the segmental duration. The parameters are controlled according to an input sequence of phonetic symbols, following which segmental duration is determined based on the variation of the articulatory parameters. The proposed method is evaluated through an experiment using a Japanese speech database that consists of 150 phonetically balanced sentences. The results indicate that the mean square error of predicted segmental duration is approximately 15[ms] for the closed set and 15-17[ms] for the open set. The error is within 20[ms], the level of acceptability for distortion of segmental duration without loss of naturalness, and hence the method is proved to effectively predict segmental duration.
RGB-D-Based Face Reconstruction and Recognition

Most RGB-D-based research focuses on scene reconstruction, gesture analysis, and simultaneous localization and mapping, but only a few study its impacts on face recognition. A common yet challenging scenario considered in face recognition takes a single 2D face of frontal pose as the gallery and other poses as the probe set. We consider a similar scenario but with an RGB-D image pair taken at frontal pose for each subject in the gallery, only 2D images with a large scope of pose variations in the probe set, and study the advantage of the additional depth map on top of the regular RGB image. To tackle the cases with depth map corrupted by quantization noise, which are often encountered when the face is not close enough to the RGB-D camera, we propose a resurfacing approach as a preprocessing phase. We formulate the 3D face reconstruction using the RGB-D image as a constrained optimization and compare the results with different reconstruction settings. The reconstructed 3D face allows the generation of 2D face with specific poses, which can be matched against the probes. To deal with occlusion and expression variations, an automatic landmark detection algorithm is exploited to identify the parts on a given probe that are good for recognition. Experiments on benchmark databases show that the additional depth map substantially improves the cross-pose recognition performance, and the landmark-based component selection also improves the recognition under occlusion and expression variation. The performance comparison with other contemporary approaches also shows the effectiveness of the proposed approach.
Experimental study of an optical wireless physical activity monitoring system

We propose in this paper, an optical wireless communicating accelerometer-based system for physical activity level monitoring. Optical wireless technology presents the advantage to be secure regarding electromagnetic interference, low-cost and easy to deploy. Considering a mobile patient we experimentally investigate the performance in terms of packet failure of our wearable system communicating with several optical receivers fixed in the environment. Measurements are reported as a function of directivity of optical source, emitted power and the number of receivers. The results are analyzed and discussed regarding the quality of service of physical activity application.
QT correction for fiducial ECG features based biometric systems

In this paper, an electrocardiogram (ECG) based biometric system is proposed. A QT correction step is introduced to obviate the impact of heart rate variability, instead of just normalizing the features by the corresponding RR duration. Consequently, both approaches were examined in this work. Two sets of fiducial features were investigated: a super set of 36 features and a reduced version of it. Radial basis functions neural network is used as a classifier. The evaluation of the system was performed on the basis of subject identification (SI) accuracy and heartbeat recognition (HR) accuracy. The experiments were conducted using a 50-subject database and the results revealed the superiority of the QT correction approach, especially over time.
Local Ambiguity Packing and Discontinuity in German

We report on recent advances in HPSG parsing of German with local ambiguity packing (Oepen and Carroll, 2000), achieving a speed-up factor of 2 on a balanced test-suite. In contrast to earlier studies carried out for English using the same packing algorithm, we show that restricting semantic features only is insufficient for achieving acceptable runtime performance with a German HPSG grammar. In a series of experiments relating to the three different types of discontinuities in German (head movement, extraction, extraposition), we examine the effects of restrictor choice, ultimately showing that extraction and head movement require partial restriction of the respective features encoding the dependency, whereas full restriction gives best results for extraposition.
Model-Based Calibration of Filter Imperfections in the Random Demodulator for Compressive Sensing

The random demodulator is a recent compressive sensing architecture providing efficient sub-Nyquist sampling of sparse band-limited signals. The compressive sensing paradigm requires an accurate model of the analog front-end to enable correct signal reconstruction in the digital domain. In practice, hardware devices such as filters deviate from their desired design behavior due to component variations. Existing reconstruction algorithms are sensitive to such deviations, which fall into the more general category of measurement matrix perturbations. This paper proposes a model-based technique that aims to calibrate filter model mismatches to facilitate improved signal reconstruction quality. The mismatch is considered to be an additive error in the discretized impulse response. We identify the error by sampling a known calibrating signal, enabling least-squares estimation of the impulse response error. The error estimate and the known system model are used to calibrate the measurement matrix. Numerical analysis demonstrates the effectiveness of the calibration method even for highly deviating low-pass filter responses. The proposed method performance is also compared to a state of the art method based on discrete Fourier transform trigonometric interpolation.
3D emotional facial animation synthesis with factored conditional Restricted Boltzmann Machines

This paper presents a 3D emotional facial animation synthesis approach based on the Factored Conditional Restricted Boltzmann Machines (FCRBM). Facial Action Parameters (FAPs) extracted from 2D face image sequences, are adopted to train the FCRBM model parameters. Based on the trained model, given an emotion label sequence and several initial frames of FAPs, the corresponding FAP sequence is generated via the Gibbs sampling, and then used to construct the MPEG-4 compliant 3D facial animation. Emotion recognition and subjective evaluation on the synthesized animations show that the proposed method can obtain natural facial animations representing well the dynamic process of emotions. Besides, facial animation with smooth emotion transitions can be obtained by blending the emotion labels.
An Intelligent System Framework for an Automated Language Tutoring Tool

Automated learning methodologies employing intelligent systems, have become increasingly popular in the internet due to advancements in the field of machine learning. In our paper, we examine the case of intelligent language tutoring system (ILTS), which has helped increase productivity and reduce overhead costs by automating teaching processes. However, current ILTSs are restrictive when it comes to integrating functionalities such as context-based understanding, and allowing text input from user. This paper proposes a framework, incorporated into an intelligent language tutoring system, based on a string search algorithm that extracts only vital word patterns from a pre-defined 'items bank'. This ensures that only required Basic English patterns are acquired, thereby facilitating the system to deliver accurate context based results and handle advanced structures with ease. Comprehensive evaluation of the system's performance indicates the system has proven to be efficient and robust structure, providing favorable alternatives to Natural Language Processing (NLP) systems.
Ultrastructural analysis of extraocular muscle in chronic progressive external ophthalmoplegia.

Extraocular muscles are primarily involved in many mitochondrial diseases, but no reports exist regarding the morphological appearance of the muscles in cases of long-standing ocular myopathies. For this reason, muscle samples obtained from surgery in a sporadic case of chronic progressive external ophthalmoplegia (CPEO) were used for ultrastructural investigation and molecular analysis of mitochondrial DNA. Genetic testing revealed a heteroplasmic macrodeletion of about 5.0 kilobases in length, localized between the 9570- and 14619-base pair regions. Electron microscopy revealed focal areas of both disruption and abnormality of mitochondria in only some of the muscle fibers, producing "selective vacuolization. " This ultrastructural pattern was highly selective and limited to some extraocular muscle fibers, sparing all the others. The "selective damage" observed in this case of CPEO resembles that case occurring in another mitochondrial disease, Leber hereditary optic neuropathy, where damage occurs only in the papillomacular bundle of the retina, sparing peripheral axons. It is possible that some anatomical and physiological factors play a leading role in both Leber hereditary optic neuropathy and ocular myopathies. The ultrastructural aspect herein observed needs to be further investigated to better understand whether a particular muscle fiber type is the target of mitochondrial impairment in CPEO.
Logic Style Comparison for Ultra Low Power Applications

Power consumption factors such as leakage and device capacitance are inherently dependent on the type of logic family chosen to implement an application. This work compares the suitability of static CMOS, DPL, DVL, CPL and pseudo-nMOS logic families for use in near-threshold supply voltage environments. Through the joint analysis of addition logic and a register, we show a combination of CMOS and passgates performs best in terms of energy. The results of this analysis also demonstrate how the optimum supply voltage varies with logic styles in ultra low power systems.
Electrophysiological Differentiation of New Neurons in the Olfactory Bulb

The subventricular zone produces neuroblasts that migrate to the olfactory bulb (OB) and differentiate into interneurons throughout postnatal life (Altman and Das, 1966; Hinds, 1968; Altman, 1969; Kishi et al., 1990; Luskin, 1993; Lois and Alvarez-Buylla, 1994). Although such postnatally generated interneurons have been characterized morphologically, their physiological differentiation has not been thoroughly described. Combining retroviral-mediated labeling of newly generated neurons with patch-clamp electrophysiology, we demonstrated that soon after new cells enter the layers of the olfactory bulb, they display voltage-dependent currents typical of more mature neurons. We also show that these “newcomers” express functional GABA and glutamate receptor channels, respond synaptically to stimulation of the olfactory nerve, and may establish both axodendritic and dendrodendritic synaptic contacts within the olfactory bulb. These data provide a basic description of the physiology of newly generated cells in the OB and show that such new cells are functional neurons that synaptically integrate into olfactory bulb circuitry soon after their arrival.
Document Routing by Discriminant Projection: TREC-4

We present document routing as a standard problem in discriminant analysis. The standard solution involves the inversion of a large matrix whose dimension is the number of indexed terms. Typically, the solution does not exist because the number of training documents are much smaller compared to the number of terms. We show that one can project this raw document space into a lower dimensional space where solution is possible. Our projection algorithm exploits the characteristics of empty space, using only the training documents for efficient coding of the relevance information. Its compexity is linear with repect to the number of terms, and second order with respect to the number of training documents. We can therefore fully exploit the power of discriminant analysis without imposing severe computational and storage constraints