Miracle-dz/UniFAR-FTUs huggingface dataset:
Theory of planned behavior, self-stigma, and perceived barriers explains the behavior of seeking mental health services for people at risk of affective disorders

Introduction: To use the theory of planned behavior (TPB) incorporated with self-stigma and perceived barriers to investigate the nature of help-seeking behaviors in a community sample at risk of anxiety or depression in Iran. Methods: Participants at risk of anxiety or depression screened by Hospital Anxiety and Depression Scale (n = 1011) completed the following questionnaires at baseline: Factors in TPB, Self-Stigma in Seeking Help Scale, and perceived barriers in seeking help. Two years later, their help-seeking behavior (i.e., visiting a specialist) was retrieved from their medical records. Models using TPB concepts and incorporated with self-stigma and perceived barriers were tested by structural equation modeling. Results: The effects of TPB concepts, self-stigma and perceived barriers on help-seeking behaviors (i.e., visiting a specialist for mental health problems) were supported by the excellent data-model fit indices: Comparative fit index = 0.997; Tucker–Lewis index = 0.965; root mean square of error approximation (RMSEA) = 0.028; and weighted RMSEA = 0.386. All the path coefficients were significant, except for the path between perceived barriers and help-seeking behavior. Perceived behavioral control had the strongest coefficient (standardized coefficient = 0.547); subjective norm had the weakest coefficient (standardized coefficient = 0.061). In addition, perceived barriers were indirectly associated with help-seeking behaviors. Conclusion: TPB is an effective model to explain the help-seeking behaviors for people at risk of anxiety or depression. In addition, self-stigma and perceived barriers may be simultaneously considered when clinicians want to prevent an individual with depression or anxiety from not seeking proper help on their mental health problems.
A 400 Msample / s , 8-bit , CMOS Folding and Interpolating Analog-to-Digital Converter

—The design of a CMOS 400Msample/sec, 8-bit analog-to-digital converter incorporating folding and interpolation is described. This implementation utilizes a track-and-hold input and synchronization to help eliminate timing errors. The clock signal is generated internally. Built with 0. 25µm CMOS technology, this design requires an area of approximately 0.83mm 2 (without routing) and dissipates 238mW with a 2.5V supply. A full-scale input range of 1.0V is achieved.
Study of a Customer Satisfaction-Oriented Model for Outsourcing Software Quality Management Using Quality Function Deployment (QFD)

Software outsourcing is becoming a new engine in software industry. Many companies are looking for competitive advantage by outsourcing their supportive information systems. However, venders are facing problems of lacking appropriate ways to ensure outsourcing software quality. In this paper, quality function deployment (QFD) is applied to outsourcing software development on the basis of analyzing the issues of offshore outsourcing software development and the existing methods of software quality assurance (SQA). Furthermore, a customer satisfaction-oriented model for outsourcing software quality management (OSQMM) is proposed in this paper. OSQMM stands out by focusing on analyzing and translating the "voice of customers". The model is proved to be effective through a case study on the development of an accounting information system.
Systems and Technologies Category : Informational February 1997 Mobility Support for Nimrod : Challenges and Solution Approaches Status of this Memo

We discuss the issue of mobility in Nimrod. While a mobility solution is not part of the Nimrod architecture, Nimrod does require that the solution have certain characteristics. We identify the requirements that Nimrod has of any solution for mobility support. We also classify and compare existing approaches for supporting mobility within an internetwork and discuss their advantages and disadvantages. Finally, as an example, we outline the mechanisms to support mobility in Nimrod using the scheme currently being developed within the IETF namely, the Mobile-IP protocol.
ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks

Summary: We have developed ClueGO, an easy to use Cytoscape plug-in that strongly improves biological interpretation of large lists of genes. ClueGO integrates Gene Ontology (GO) terms as well as KEGG/BioCarta pathways and creates a functionally organized GO/pathway term network. It can analyze one or compare two lists of genes and comprehensively visualizes functionally grouped terms. A one-click update option allows ClueGO to automatically download the most recent GO/KEGG release at any time. ClueGO provides an intuitive representation of the analysis results and can be optionally used in conjunction with the GOlorize plug-in. Availability: http://www.ici. upmc.fr/cluego/cluegoDownload.shtml Contact: jerome.galon@crc.jussieu. fr Supplementary information: Supplementary data are available at Bioinformatics online.
Multi-Device Storyboards for Cinematic Narratives in VR

Virtual Reality (VR) narratives have the unprecedented potential to connect with an audience through presence, placing viewers within the narrative. The onset of consumer VR has resulted in an explosion of interest in immersive storytelling. Planning narratives for VR, however, is a grand challenge due to its unique affordances, its evolving cinematic vocabulary, and most importantly the lack of supporting tools to explore the creative process in VR. In this paper, we distill key considerations with the planning process for VR stories, collected through a formative study conducted with film industry professionals. Based on these insights we propose a workflow, specific to the needs of professionals creating storyboards for VR film, and present a multi-device (tablet and head-mounted display) storyboard tool supporting this workflow. We discuss our design and report on feedback received from interviews following demonstration of our tool to VR film professionals.
A hierarchical approach to aligning collinear regions of genomes

MOTIVATION As a first approximation, similarity between two long orthologous regions of genomes can be represented by a chain of local similarities. Within such a chain, pairs of successive similarities are collinear (non-conflicting), i.e. segments involved in the nth similarity precede in both sequences segments involved in the (n+1)th similarity. However, when all similarities between two long sequences are considered, usually there are many conflicts between them. Although some conflicts can be avoided by masking transposons or low-complexity sequences, selecting only those similarities that reflect orthology and, thus, belong to the evolutionarily true chain is not trivial. RESULTS We propose a simple, hierarchical algorithm of finding the true chain of local similarities. Starting from similarities with low P-values, we resolve each pairwise conflict by deleting a similarity with a higher P-value. This greedy approach constructs a chain of similarities faster than when a chain optimal with respect to some global criterion is sought, and makes more sense biologically.
Learning sparse dictionaries for saliency detection

We present a new method of predicting the visually salient locations in an image. The basic idea is to use the sparse coding coefficients as features and find a way to reconstruct the sparse features into a saliency map. In the training phase, we use the images and the corresponding fixation values to train a feature-based dictionary for sparse coding as well as a fixation-based dictionary for converting the sparse coefficients into a saliency map. In the test phase, given a new image, we can get its sparse coding from the feature-based dictionary and then estimate the saliency map using the fixation-based dictionary. We evaluate our results on two datasets with the shuffled AUC score and show that our method is effective in deriving the saliency map from sparse coding information.
The new Literacy Studies: from

A center fed dipole with a shortened aperture is described. A first rod-like radiator element approximately a quarter wavelength long at the center operating frequency of the antenna is coupled to the inner conductor of a coaxial transmission line. A second radiator element includes a hollow-conductive cylinder, coaxial with the coaxial transmission line, and a coil. The conductive cylinder is substantially less than a quarter wavelength long at the center operating frequency of the antenna. The conductive cylinder is coupled at one end to the outer conductor of the coaxial transmission line and the end of the cylinder remote from the one end is coupled to the coil.
Scholar or Baller in American Higher Education? A visual elicitation and qualitative assessment of the studentathlete's mindset

Eminent scholar Harry Edwards (2000) has articulated three major realities of African American males in sports: a) The presumption of innate, race-linked black athletic superiority and intellectual deficiency; b) media propaganda portraying sports as a broadly accessible route to African American social and economic mobility; and c) a lack of comparably visible, high-prestige African American role models beyond the sports arena. Driven by labeling theory (Becker, 1963; Goffman, 1959), eight African American male student athletes were surveyed and interviewed. The last two points of Edwards' scholarship were investigated. "We have pretty good historical data and quantitative data about African American athletes. Now we need good qualitative data-in the form of detailed information on the real life experiences of African American student athletes. And we need it done by African American men and women who can do in-depth interviews and ethnographic observations and collect data. " -Jay Coakley, Professor of Sociology, 1999 "Relatively little research has focused on the subjective experience of members of stigmatized groups. Understanding the consequences of social stigma requires an understanding of the phenomenology of being stigmatized. " -Jennifer Crocker, Kristin Voelkl, Maria Testa, and Brenda Major, 1991 "The interplay between automatic biases caused by racial cues, and the subjective conscious states in which perceivers "sincaely believe" their judgments and intend to behave consistently with them remains fertile ground for social cognition research. "-B. Keith Payne, 2001 Dr. Harrison is Assistant Professor in the Division of Kinesiology, Department of Sports Management and Communication and Director a! The Paul Robeson Research Center for Academic and Athletic Prowess at the University of Michigan.
Constructing SURF visual-words for pornographic images detection

Pornographic images detection is necessary for us to filter out objectionable information on the Internet. Bag-of-visual-words (BoVW) based pornographic images detection is promising because it can compensate the defect of the traditional approach. However, there are many choices to construct visual-words which are crucial to the tradeoff between the speed and the performance. We propose a novel method of constructing SURF (speeded up robust features) visual-words in skin regions and combining it with color moments. The results show that the performance of SURF visual-words is better than that of SIFT (scale-invariant feature transform) visual-words and our method is more effective to detect pornographic images than many existing methods.
The Analysis of Academic Motivation and Career Stress Relationships of the Students in Department of Physical Education and Sport

The purpose of this study is to determine the levels of career stress and academic motivation of the students in the departments of physical education and sports. 527 students who receive education in Physical Education and Sports Academies of Ahi Evran University, Erciyes University, Dumlupınar University and Çanakkale 18 Mart University participated in the study. In this study, personal information form, career stress scale and academic motivation scale were used as data collection tools. In the comparison of relevant data, range, frequency, t test, Anova test and simple regression analysis were performed. Besides, Confirmatory Factor Analysis (CFA) was performed in order to reveal the factor structures of academic motivation and career stress scales. As a result of statistical analyzes, significant difference was not seen at levels of academic motivation and career stress for all dimensions in terms of the gender and certified sportsmanship variables of the participants. However, significant difference was seen in the total scores of identified extrinsic motivation, extrinsic motivation extrinsic regulation, career uncertainty, job finding pressure and career stress in terms of grade variable. According to the results of the regression analyzes performed, negative significant correlation was detected between the academic motivation and career stress levels of participants.
Developing and Validating an Instrument of In-service Teachers Responses to Knowledge-Based Teacher, Engagement, and Expectation in Teacher Profession Education Program in Indonesia: Integrating factor analysis with Rasch modeling

This paper reported the use of several quantitative analytic methods, including Rasch analysis, to examine teacher responses to questionnaire items probing opinions related to knowledge-based teacher, engagement, and expectation in Teacher Profession Education Program in Indonesia. While many reports have presented the impact of training-based teacher professional development program in Indonesia, the present paper improved on these outcomes by utilising Rasch analysis to identify items with orderly sequences of scores across response categories, and to subject these to fresh exploratory and confirmatory factor analysis. The resulting 3-factors (teacher knowledge, teacher engagement, teacher expectation) scale proved acceptable in terms of confirmatory factor analysis as well as in terms of Rasch item analysis. Furthermore, the paper briefly discussed the implications of these outcomes in relation to the refined instrument’s capacity to gather information about how teachers view and expectation about the Indonesian Teacher Profession Program, including gender disparity analysis.
The UK National Cycle Network: an assessment of the benefits of a sustainable transport infrastructure

The National Cycle Network (NCN) in the U.K. has increased opportunities for people to make trips by bicycle and on foot. In this article, data from the NCN route usage monitoring project is analyzed to examine implications of the NCN for health, social inclusion, economic opportunities through tourism and recreation, and the nature of cyclists and cycling. Analysis of survey data suggests that various benefits are being realized. The capacity of NCN to further impact in these and other areas is discussed.
A Signal Processing Perspective on Hyperspectral Unmixing

Date of publication: 5 December 2013 B lind hyperspectral unmixing (HU), also known as unsupervised HU, is one of the most prominent research topics in signal processing (SP) for hyperspectral remote sensing [1], [2]. Blind HU aims at identifying materials present in a captured scene, as well as their compositions, by using high spectral resolution of hyperspectral images. It is a blind source separation (BSS) problem from a SP viewpoint. Research on this topic started in the 1990s in geoscience and remote sensing [3]–[7], enabled by technological advances in hyperspectral sensing at the time. In recent years, blind HU has attracted much interest from other fields such as SP, machine learning, and optimization, and the subsequent cross-disciplinary research activities have made blind HU a vibrant topic. The resulting impact is not just on remote sensing—blind HU has provided a unique problem scenario that inspired researchers from different fields to devise novel blind SP methods. In fact, one may say that blind HU has established a new branch of BSS approaches not seen in classical BSS studies. In particular, the convex geometry concepts—discovered by early remote sensing researchers through empirical observations [3]–[7] and refined by later research—are elegant and very different from statistical independence-based BSS approaches established in [Insights from remote sensing] [Wing-Kin Ma, José M. Bioucas-Dias, Tsung-Han Chan, Nicolas Gillis, Paul Gader, Antonio J. Plaza, ArulMurugan Ambikapathi, and Chong-Yung Chi]
Uncertain Probabilistic Roadmaps with Observations

Probabilistic roadmaps (PRMs) are a commonly used approach to path planning in continuous spaces with obstacles. We examine the case where the obstacle locations are not known with certainty but can be observed during execution of the plan. We abstract the problem to one of traversing a graph where some edges (referred to as uncertain edges) may or may not be present, and where noisy observations of these edges can be made from some of the vertices of the graph. We show that this problem can be represented as a POMDP, and then use the structure in the problem to derive a number of MDP approximations to the POMDP. We show that using these approximations we can solve larger PRMs efficiently while producing policies that are close to optimal for many problems, and that we can produce optimal solutions for PRMs with smaller numbers of uncertain edges.
Classifying all mutually unbiased bases in Rel

Finding all the mutually unbiased bases in various dimensions is a problem of fundamental interest in quantum information theory and pure mathematics. The general problem formulated in finite-dimensional Hilbert spaces is open. In the categorical approach to quantum mechanics one can find examples of categories which behave ``like'' the category of finite-dimensional Hilbert spaces in various ways but are subtly different. One such category is the category of sets and relations, $\mathbf{Rel}$. One can formulate the concept of mutually unbiased bases here as well. In this note we classify all the mutually unbiased bases in this category by relating it to a standard question in combinatorics.
Subspace fitting via sparse representation of signal covariance for DOA estimation

Based on the orthogonality between the signal subspace and the noise subspace, we propose a sparse recovery method for the direction of arrival (DOA) estimation. With the assumption of uncorrelated sources, signal covariance matrix fitting is achieved by embedding the MUSIC-like weights into a quadratic minimization, which is capable of prompting the sparsity of the solution. Numerical results show that the proposed method outperforms some other sparse recovery methods.
Properties of Synaptically Evoked Astrocyte Calcium Signal Reveal Synaptic Information Processing by Astrocytes

The synaptic control of the astrocytic intracellular Ca2+ is crucial in the reciprocal astrocyte-neuron communication. Using electrophysiological and Ca2+ imaging techniques in rat hippocampal slices, we investigated the astrocytic Ca2+ signal modulation induced by synaptic terminals that use glutamate and acetylcholine. Ca2+ elevations were evoked by glutamate released from Schaffer collaterals and by acetylcholine, but not glutamate, released by alveus stimulation, indicating that astrocytes discriminate the activity of different synapses belonging to different axon pathways. The Ca2+ signal was modulated bidirectionally by simultaneous activation of both pathways, being depressed at high stimulation frequencies and enhanced at low frequencies. The Ca2+ modulation was attributable to astrocytic intrinsic properties, occurred at discrete regions of the processes, and controlled the intracellular expansion of the Ca2+ signal. In turn, astrocyte Ca2+ signal elicited NMDA receptor-mediated currents in pyramidal neurons. Therefore, because astrocytes discriminate and integrate synaptic information, we propose that they can be considered as cellular elements involved in the information processing by the nervous system.
Classification of Spectators' State in Video Sequences by Voting of Facial Expressions and Face Directions

In this paper, we proposed a classification method of spectators’ state in video sequences by voting of facial expressions and face directions. The task of this paper is to classify the state of the spectators in a given video sequence into “Positive Scene” or “Negative Scene”, and “Watching Seriously” or “Not Watching Seriously”. The proposed classifier is designed by a “bag-of-visual-words” approach based on face recognitions. First, the multiview (left-profile, front, rightprofile) faces are detected from each image in the given video sequence. Then the detected faces are classified into the two expressions, smile or not smile. The classification results of the face directions and the facial expressions are voted to each classes’ histogram over the video sequence. Finally, the state of the spectators is classified by using the kernel SVM on the voted histograms. We conducted experiments using spectators’ video sequences captured from TV. Our approach demonstrated promising results for classifications of “Positive Scene” and “Negative Scene” or “Watching Seriously” and “Not Watching Seriously”. It was also ascertained that the facial expression is important in the classification of “Positive” and “Negative”. On the other hand, face direction is important to classify whether the spectators are “Watching Seriously” or “Not”.
Contrast Restoration of Weather Degraded Images

Images of outdoor scenes captured in bad weather suffer from poor contrast. Under bad weather conditions, the light reaching a camera is severely scattered by the atmosphere. The resulting decay in contrast varies across the scene and is exponential in the depths of scene points. Therefore, traditional space invariant image processing techniques are not sufficient to remove weather effects from images. We present a physics-based model that describes the appearances of scenes in uniform bad weather conditions. Changes in intensities of scene points under different weather conditions provide simple constraints to detect depth discontinuities in the scene and also to compute scene structure. Then, a fast algorithm to restore scene contrast is presented. In contrast to previous techniques, our weather removal algorithm does not require any a priori scene structure, distributions of scene reflectances, or detailed knowledge about the particular weather condition. All the methods described in this paper are effective under a wide range of weather conditions including haze, mist, fog, and conditions arising due to other aerosols. Further, our methods can be applied to gray scale, RGB color, multispectral and even IR images. We also extend our techniques to restore contrast of scenes with moving objects, captured using a video camera.