Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic Identification of Chinese Weblogger's Interests Based on Text Classification

Chinese Weblogs have been expanded in an incredible speed in recent years. There is plentiful personal information in Weblogs. In this paper, we propose a text classification based approach to automatically identify the interests of a Weblogger. To solve the problems arising out of class Weblog documents, the technique of heterogeneous classifiers combination is used. We also use hierarchical classification technique to identify much specific interests. Experiments show that our interest identification approach has a high accuracy and, for most Webloggers in our experiments, their interests implied in the contents of blogs could be well identified by using this approach
Reliability and validity of the Children's Health Survey for Asthma.

OBJECTIVE Describe the psychometric properties of the Children's Health Survey for Asthma (CHSA)- a condition-specific, self-report, functional health measure for parents of children 5 to 12 years of age with chronic asthma. METHOD Data from two cross-sectional and one longitudinal study were used to assess internal consistency reliability, test-retest reliability, and validity of the CHSA. Over 275 parents and guardians of children with asthma completed the CHSA in one of three studies. The combined samples included a heterogenous mix of respondents by child age and race/ethnicity and parental marital and socioeconomic status. Five domain scores were computed: physical health, activity (child), activity (family), emotional health (child), and emotional health (family). Raw scale scores were transformed from 0 to 100 with higher scores indicating better or more positive outcomes. RESULTS Across the three samples, mean scale scores ranged from a low of 61.5 (emotional health of the child) to a high of 86.1 (activity [family]). Internal consistency reliability for each of the scales was high (Cronbach's alpha =.81-. 92), and test-retest reliability (correlation between forms) ranged from.62 to.86. Significant differences in mean scores for four of five scales were noted between those with low versus moderate to high recent symptom activity. CONCLUSION In three tests, the CHSA displays strong reliability and validity. Descriptive statistics demonstrate a range of scale scores. Internal consistency is good to excellent and short-term test-retest reliability is good for each of the five scales. Construct validity is demonstrated by the ability of CHSA to distinguish levels of disease severity, defined by symptom activity.
Dialectical behaviour therapy for borderline personality disorder among adolescents and young adults: Pilot study, extending the research findings in new settings and cultures

The aim of this paper was to investigate the feasibility and impact of dialectical behaviour therapy (DBT) for patients with borderline personality disorder (BPD) in a clinical outpatient setting. Eighteen clinicians were trained and supervised in using DBT. Twenty-seven female patients were assessed on a number of variables before the treatment, as well as 5 and 12 months after the start of the DBT. Despite some barriers, DBT could be implemented successfully, and the professionals reported increased competence 1 year after the start of the therapy. Low treatment dropout rates suggested that DBT was well accepted by the patients. One year after the start of treatment, the patients reported significant decrease on most variables measuring psychological distress and number of parasuicidal behaviours. The study provides preliminary support for the feasibility and impact of DBT in the outpatient treatment of BPD in a cultural setting outside the United States.
The PennBMBI: Design of a General Purpose Wireless Brain-Machine-Brain Interface System

In this paper, a general purpose wireless Brain- Machine -Brain Interface (BMBI) system is presented. The system integrates four battery-powered wireless devices for the implementation of a closed-loop sensorimotor neural interface, including a neural signal analyzer, a neural stimulator, a body-area sensor node and a graphic user interface implemented on the PC end. The neural signal analyzer features a four channel analog front-end with configurable bandpass filter, gain stage, digitization resolution, and sampling rate. The target frequency band is configurable from EEG to single unit activity. A noise floor of 4.69 μVrms is achieved over a bandwidth from 0.05 Hz to 6 kHz . Digital filtering, neural feature extraction, spike detection, sensing-stimulating modulation, and compressed sensing measurement are realized in a central processing unit integrated in the analyzer. A flash memory card is also integrated in the analyzer. A 2-channel neural stimulator with a compliance voltage up to ±12 V is included. The stimulator is capable of delivering unipolar or bipolar, charge-balanced current pulses with programmable pulse shape, amplitude, width, pulse train frequency and latency. A multi-functional sensor node, including an accelerometer, a temperature sensor, a flexiforce sensor and a general sensor extension port has been designed. A computer interface is designed to monitor, control and configure all aforementioned devices via a wireless link, according to a custom designed communication protocol. Wireless closed-loop operation between the sensory devices, neural stimulator, and neural signal analyzer can be configured. The proposed system was designed to link two sites in the brain, bridging the brain and external hardware, as well as creating new sensory and motor pathways for clinical practice. Bench test and in vivo experiments are performed to verify the functions and performances of the system.
Development of bilingual ASR system for MediaParl corpus

The development of an Automatic Speech Recognition (ASR) system for the bilingual MediaParl corpus is challenging for several reasons: (1) reverberant recordings, (2) accented speech, and (3) no prior information about the language. In that context, we employ frequency domain linear prediction-based (FDLP) features to reduce the effect of reverberation, exploit bilingual deep neural networks applied in Tandem and hybrid acoustic modeling approaches to significantly improve ASR for accented speech and develop a fully bilingual ASR system using entropy-based decoding-graph selection. Our experiments indicate that the proposed bilingual ASR system performs similar to a language-specific ASR system if approximately five seconds of speech are available.
THE EFFECTIVENESS OF EMOTION REGULATION INTERVENTION ON EMOTIONAL PROBLEMS AND QUALITY OF LIFE AMONG PATIENTS WITH FUNCTIONAL GASTROINTESTINAL DISORDERS

Background: The Unified treatment approach (UP), an emotion-focused cognitive-behavioral therapy that holds emotional processes as a central target of treatment, is applicable for disorders with strong emotional components. The aim of this study was to examine the effectiveness of emotion regulation intervention derivative from the UP on emotional problems and quality of life among patients with functional gastrointestinal disorders. Materials and Methods: The study was a randomized clinical trial. Sixteen patients with functional gastrointestinal disorders were entered in treatment process, in term of the qualification criteria. The intervention was conducted in 12 group sessions during 2 hours. The tests of DASS & SF-36 was used to evaluate the efficiency of intervention. Data were analyzed using descriptive statistics and covariance analysis. Results: The results of the covariance analysis showed that there was significant decrease in severity of depression (p<0.01), anxiety (p <0.05) and stress (p <0.01) and also significant increase in quality of life (p <0.01) in intervention group. Conclusion: Emotional regulation intervention on the basis of the UP was effective in decrease of severity of emotional symptoms (depression, anxiety, stress) and increase of quality of life patients with psychosomatic disorders. So, the UP, transdiagnostic therapy have proper efficacy in improvement emotional regulation and quality of life patients with functional gastrointestinal disorders.
Crystal Structure of ClpX Molecular Chaperone from Helicobacter pylori*

ClpX, a heat shock protein 100 chaperone, which acts as the regulatory subunit of the ATP-dependent ClpXP protease, is responsible for intracellular protein remodeling and degradation. To provide a structural basis for a better understanding of the function of the Clp ATPase family, the crystal structures of Helicobacter pylori ClpX, lacking an N-terminal Cys cluster region complexed with ADP, was determined. The overall structure of ClpX is similar to that of heat shock locus U (HslU), consisting of two subdomains, with ADP bound at the subdomain interface. The crystal structure of ClpX reveals that a conserved tripeptide (LGF) is located on the tip of ClpP binding loop extending from the N-terminal subdomain. A hexameric model of ClpX suggests that six tripeptides make hydrophobic contacts with the hydrophobic clefts of the ClpP heptmer asymmetrically. In addition, the nucleotide binding environment provides the structural explanation for the hexameric assembly and the modulation of ATPase activity.
Intelligent Machinery-National Physical Laboratory Report

Highly-available models and superblocks have garnered tremendous interest from both experts and experts in the last several years. Our goal here is to set the record straight. In this paper, we prove the study of the Ethernet. Here we introduce an introspective tool for refining journaling file systems (Heliotypy), disconfirming that 802.11 mesh networks can be made cooperative, authenticated, and knowledge-base.
The aesthetic experience in the Cerrado for the creation of aesthetic and ethical values in environmental education

The Cerrado (Brazilian savanna) has a long history of occupation, exploitation and degradation. While it is Brazil’s second largest biome and has high levels of endemism, it is seldom considered rich in biodiversity, or ecologically important. Equally, many environmental educators have overlooked it as a site for critical practice and post-critical inquiry, focusing instead on other well-known biomes such as Amazonia. This thesis investigates the nature of aesthetic experience in the Cerrado as a doorway to (re)examining the significance and role of aesthetic and ethical values in environmental education. Using a hermeneutical (eco)phenomenological approach, the study takes up the concept of somaesthetics [embodied mind] to explore the possibility, presence and experience of integrating being and thinking though environmental education in the Cerrado. Aesthetic experience is understood to foster links and unify the I/world relation, such that the distinct world, hitherto distant, becomes ‘distinct-intimate’. Equally, aesthetic experience of nature is understood to involve making visceral connections with the world, and thus in a research context, requires close attention to which sensorial capacities are dominant (and not) in making and experiencing meaning. Thus in this study, classic to contemporary perspectives on hermeneutic phenomenology are assessed, with a view to addressing some of the ‘representational’ and ‘non-representational’ challenges in research methodology when accessing and explaining experiences and affective responses. The thesis presents life histories developed through narrative methods of a sample of residents with positive deep experiences in this environment. Interviews were conducted with 17 people (11 women, 6 men, from a range of professions, all middle class and with a higher education) during 2012. After one year, in 2013, we invited all the 17 who had already been interviewed to walk in Cerrado and 08 participants were present which 04 out of 08 were part of the data collection. The interviews were important to describe the memories and stories in/with/ about Cerrado, but we realized the challenge of the participants in representing their emotions and feelings. The walking ethnography put the prospect of analyzing the aesthetic experience of the participants and myself moving in the Cerrado. Instead of being a
wTutorOnline: A browser-based plugin free tutor online system

Besides of normal face-to-face learning, learners can use electrical resources to perform digital learning in educational area. Learners can use communication tools such as real-time communication tools, online conferencing tools, and collaborative learning web-sites to perform synchronous learning. This paper proposed a browser-based plugin free online tutoring system. By applying browser-based technologies to perform media data transmission, users could use the proposed system without the need of installing client applications. The system integrates services for account management, digital whiteboard, collaborative editing for online document and data synchronization to make the server-side more effective. Users are able to use the system to find online class participants and perform synchronous online learning.
Automatic Features for Essay Scoring – An Empirical Study

Essay scoring is a complicated processing requiring analyzing, summarizing and judging expertise. Traditional work on essay scoring focused on automatic handcrafted features, which are expensive yet sparse. Neural models offer a way to learn syntactic and semantic features automatically, which can potentially improve upon discrete features. In this paper, we employ convolutional neural network (CNN) for the effect of automatically learning features, and compare the result with the state-of-art discrete baselines. For in-domain and domain-adaptation essay scoring tasks, our neural model empirically outperforms discrete models.
Testing or Formal Verification: DO-178C Alternatives and Industrial Experience

Software for commercial aircraft is subject to the stringent certification processes described in the DO-178B standard, "Software Considerations in Airborne Systems and Equipment Certification. " Issued in 1992, this document focuses strongly on the verification process, with a major emphasis on testing. In 2005, the avionics industry initiated an effort to update DO-178B, in large part to accommodate development practices (including formal verification techniques) that had matured since its publication. A revised standard, DO-178C, was issued in late 2011, incorporating new guidance that allows formal verification to replace certain forms of testing. In this article, the authors describe some of the new objectives and activities in the area of formal methods, explain how these methods may be used instead of testing in a DO-178C context, and summarize the practical experience of Dassault-Aviation and Airbus in successfully applying the new DO-178C approach. The first Web extra at http://youtu.be/tRtK4xOK-8o is part 1 of a video talk by Herv&#x00E9; Delseny, describing Airbus's use of formal methods to verify avionics software and summarizing the integration of formal methods in the upcoming ED-12/DO-178 issue C. The second Web extra at http://youtu.be/BVI5J1GAQ30 is part 2 of a video talk by Herv&#x00E9; Delseny, describing Airbus's use of formal methods to verify avionics software and summarizing the integration of formal methods in the upcoming ED-12/DO-178 issue C. The third Web extra at http://youtu.be/U3G1ZOoqg78 is part 3 of a video talk by Herv&#x00E9; Delseny, describing Airbus's use of formal methods to verify avionics software and summarizing the integration of formal methods in the upcoming ED-12/DO-178 issue C. The fourth Web extra at http://youtu.be/WtlqS-JOHrA is part 4 of a video talk by Herv&#x00E9; Delseny, describing Airbus's use of formal methods to verify avionics software and summarizing the integration of formal methods in the upcoming ED-12/DO-178 issue C.
Dynamic analysis of Reaction Force sensing Series Elastic Actuator as unlumped two mass system

Recently, the dynamic model of Series Elastic Actuator (SEA) has been researched intensively, and most of the approaches ignore the dynamics of the load part and model SEA as a simple mass damper spring system, which is valid only when SEAs contact with high impedance environments. To consider the dynamic model of SEA as a mass damper spring system can be erroneous when SEA does not contact high impedance environment and makes free motions. In this paper, a novel dynamic model of Reaction Force Series Elastic Actuator is proposed, which is unlumped two mass system model. The dynamic model is derived using the Lagrangian mechanics so as to successfully include all degrees of freedom of the SEA. The proposed model is verified through system identification experiments. The results indicate the actual dynamic model of SEA is valid throughout various load conditions.
LyS at TASS 2015: Deep Learning Experiments for Sentiment Analysis on Spanish Tweets

This paper describes the participation of the LyS group at tass 2015. In this year's edition, we used a long short-term memory neural network to address the two proposed challenges: (1) sentiment analysis at a global level and (2) aspect-based sentiment analysis on football and political tweets. The performance of this deep learning approach is compared to our last-year model, based on a square-regularized logistic regression. Experimental results show that strategies such as unsupervised pre-training, sentiment-specific word embedding or modifying the current architec- ture might be needed to achieve state-of-the-art results. Keywords: deep learning, long short-term memory, sentiment analysis, Twitter
Fault-tolerant sampled-data control of singular networked cascade control systems

ABSTRACT This paper investigates the reliable sampled-data control problem for a class of singular networked cascade control systems with randomly occurring actuator failures, time-varying delay and disturbances. In particular, the randomly occurring actuator failures describes the phenomenon of the actuator failure appearing in a random way and is modelled by a Bernoulli distributed white noise sequences with a known conditional probability. The main purpose of this work is to design a reliable sampled-data controller such that an optimised upper bound of the predefined performance index is well guaranteed for the systems under consideration even in the presence of both the randomly occurring actuator failures and disturbances. The resulting controllers are reliable in the sense that they will provide guaranteed stochastically admissible and performance index when all actuators are operational as well as when some actuators experiences failure. Finally, two numerical examples are given to exhibit the effectiveness of the proposed control scheme.
Mining the management literature for insights into implementing evidence-based change in healthcare.

OBJECTIVE We synthesized the management and health literatures for insights into implementing evidence-based change in healthcare drawn from industry-specific data. Because change principles based on evidence often fail to be translated into organizational practice or policy, we sought studies at the nexus of organizational change and knowledge translation. METHODS We reviewed five top management journals to identify an initial pool of 3,091 studies, which yielded a final sample of 100 studies. Data were abstracted, verified by the original authors and revised before entry into a database. We employed a systematic narrative synthesis approach using words and text to distill data and explain relationships. We categorized studies by varying levels of relevance for knowledge translation as (1) primary, direct; (2) intermediate; and (3) secondary, indirect. We also identified recurring categories of change-related organizational factors. The current analysis examines these factors in studies of primary relevance to knowledge translation, which we also coded for intervention readiness to reflect how readily change can be implemented. Preliminary RESULTS AND CONCLUSIONS Results centred on five change-related categories: Tailoring the Intervention Message; Institutional Links/Social Networks; Training; Quality of Work Relationships; and Fit to Organization. In particular, networks across institutional and individual levels appeared as prominent pathways for changing healthcare organizations. Power dynamics, positive social relations and team structures also played key roles in implementing change and translating it into practice. We analyzed journals in which first authors of these studies typically publish, and found evidence that management and health sciences remain divided. Bridging these disciplines through research syntheses promises a wealth of evidence and insights, well worth mining in the search for change that works in healthcare transformation.
Social adjustment of maltreated children : the mediating role of aggressive behavior

OF THE THESIS Social Adjustment of Maltreated Children: The Mediating Role of Aggressive Behavior by Chung-Min Wu Master of Arts in Psychology San Diego State University, 2012 Children who have experienced maltreatment are at risk for a variety of negative outcomes, including various forms of psychopathology, academic failure, and especially, social difficulties with peers. In particular, maltreated children are more likely than nonmaltreated children to evidence higher rates of aggressive behaviors and lower levels of social competencies. The aims of the current study were to examine (1) whether young children with a history of maltreatment are more aggressive than their peers and are lessliked by their peers as they enter early elementary school, and (2) if children’s behaviors (e.g., aggression) with peers mediate the relationship between maltreatment and social (peer) acceptance. It is hypothesized that maltreated children would evidence higher teacher ratings of aggressive behavior and be less-liked by their peers. Furthermore, it was expected that ratings of aggressive behavior would serve to mediate the relation between maltreatment and levels of social acceptance. This study used an existing database of maltreated children in early elementary school for whom there were complete teacher ratings of their aggressive behavior and peer group acceptance. The sample for the current study included 142 young children; 76 children of whom with a history of maltreatment prior to age 4, and 66 children who served as a nonmaltreated comparison group. Results revealed that maltreated children were not only more aggressive but also less liked by peers, and that the level of peer-directed aggression mediated the relation between maltreatment history and social acceptance. The findings of this study support prior research indicating a strong relation between aggression behavior and being disliked by peers. The findings from this study also revealed an association between child maltreatment and levels of peer acceptance and that aggressive behavior serves to mediate the relation between early maltreatment and levels of peer acceptance. These findings have implications for social developmental theory and approaches for intervention.