Miracle-dz/UniFAR-FTUs huggingface dataset:
RECONCILIATION AND THE SINGULAR VALUE DECOMPOSITION

− The steady state data reconciliation problem is approached via a geometrical picture of its model and measurement abstract spaces. By completely utilizing the structure of the problem constraint matrix, via its singular value decomposition (SVD), data adjustment is accomplished and redundancy and observability conditions are formulated. As an example, the method is applied to a small network of liquid flowmeters in order to ascertain the reliability of the measurement results.
fMRI Data analysis using correlation controlled adaptive filtering

In analysis of fMRI data, it is common to average neighboring voxels in order to obtain robust estimates of the correlations between voxel time-series and the model of the signal expected to be present in activated regions. This paper presents a novel method for analysis of fMRI data, which extends this approach by averaging only neighboring voxels whose time-series have similar correlation coefficients. A comparison between the new method and two other filtering strategies is also presented, and the novel method is shown to have superior ability to discriminate between active and inactive voxels.
Serum-Based Protein Biomarkers in Blast-Induced Traumatic Brain Injury Spectrum Disorder

The biological consequences of exposure to explosive blast are extremely complex. Serum protein biomarkers in blast-induced traumatic brain injury (bTBI) can aid in determining injury severity, monitoring progress, and predicting outcome. Exposure to blast results in varying degrees of physical injury. Explosive blast can also induce psychological stress that can contribute to or amplify the extent of physical damage. Given the complexity, scale of injury, and variety of symptoms, bTBI may be best described as a spectrum disorder. In this focused review, we summarize the status of serum protein biomarkers in bTBI in the context of the classification and pathological changes of other forms of TBI. Finally, we recommend specific and easily implementable measures to accelerate serum protein biomarker discovery and validation in bTBI.
Self-calibrating Coil Sensitivity Profiles for Parallel Imaging Based on Anisotropic Diffusion

Calibration of the spatial sensitivity functions of coil arrays is a crucial element in parallel magnetic resonance imaging (PMRI). In order to overcome the sensitivity miscalibration errors introduced by pre-scan calibration method and decrease the total examination time , a new self-calibrating method for estimating the coil sensitivity profiles was proposed i n th e paper . F rom a fully - sampled central region of a variable-density k -space acquisition, t he sensitivity calibration images were directly extracted , and then were adaptively smoothed by a new anisotropic diffusion scheme to extract encoding effects of coil sensitivities. When the estimated coil sensitivity profiles were applied to reconstruct the full Field-Of-View image from the uniformly under-sampled MR data when under-sampl e rate was greater than 2 , the experimental results showed that the quality of reconstruct ion image was evidently improv ed. Therefore, t h is self-calibrating method for calculating sensitivity profiles is suitable for much faster imaging in parallel magnetic imaging. Meanwhile, the paper suggest that the suitable number of central k-space lines for generating the internal reference images should be chosen between 8 to 20.
Accurate radius and mass of the transiting exoplanet OGLE-TR-132b

The exoplanet OGLE-TR-132b belongs to the new class of very hot giant planets, together with OGLE-TR-56b and OGLE-TR-113b, detected by their transits. Recently, radial velocity measurements provided a planetary mass estimate for OGLE-TR-132b. The planet parameters, however, were poorly cons trained, because of the very shallow transit in the OGLE light curve. In this letter, based on new VLT/FORS2 photometric follow-up of OGLE-TR-132 of unprecedented quality (1.2 millimagnitude relative photometry), we confirm the planetary nature of the orbiting object, and we derive an accurate measurement of its radius and mass: 1.13 +- 0.08 R_J and 1.19 +- 0.13 M_J. The refined ephemeris of OGLE-TR-132 transits is T_0 = 2453142.5888 and P = 1.689857 days.
Testability Optimizations for A Time Multiplexed CPLD Implemented on Structured ASIC Technology

Multi-context dynamic reconfigurable architectures can use of both spatial and temporal aspects of logic capacity. Gaining logic capacity by reusing hardware with time multiplexing techniques requires controlling logic using small distributed memories. This can create testability problems for dynamic reconfigurable architectures. In this paper we are analysing the test coverage loss and proposing a test extension for a CPLD like dynamic reconfigurable architecture. The proposed solution is implemented in structured ASIC technology and helps in regaining the test coverage with no area and timing penalty.
Narratives of Those Who “Love” Violently: Identity Issues and Construction of Meaning of the Batterers

The present study aims to identify and analyze the interpretative repertoires on love and intimate relationships used by wife batterers, exploring how the repertoires may influence the development and experience of violent intimate relationships, and how this is linked to the identity issues. Twelve wife batterers participated in the study, answering to an individual interview on their lives’ love story. Through a discourse analysis of the data, five distinct interpretative repertoires were identified—romantic, companion, passionate, pragmatic and game-playing love—and their meaning construction was analyzed. It is discussed what repertoires reveal about gender roles prescribed by the model of masculinity, and how these gender roles constrain the construction of the identity, the personal growth and the self-actualization of the batterers.
ASYMPTOTIC PROPERTIES OF SCHWEPPE'S LIKELIHOOD RATIO DETECTOR

We consider discrete-time detection with dynamical modeling, where the data generating processes are represented through state-variable techniques. Given the modeling above, one computationally effective method of calculating the likelihood ratio functions is due to Schweppe. In this paper, we study the asymptotic properties of Schweppe’s likelihood ratio detector, and evaluate the power probability within a Bayesian framework.
Numerical Predictions of Sonic Boom Signatures for a Straight Line Segmented Leading Edge Model

A sonic boom wind tunnel test was conducted on a straight-line segmented leading edge (SLSLE) model in the NASA Langley 4- by 4- Foot Unitary Plan Wind Tunnel (UPWT). The purpose of the test was to determine whether accurate sonic boom measurements could be obtained while continuously moving the SLSLE model past a conical pressure probe. Sonic boom signatures were also obtained using the conventional move-pause data acquisition method for comparison. The continuous data acquisition approach allows for accurate signatures approximately 15 times faster than a move-pause technique. These successful results provide an incentive for future testing with greatly increased efficiency using the continuous model translation technique with the single probe to measure sonic boom signatures. Two widely used NASA codes, USM3D (Navier-Stokes) and CART3D-AERO (Euler, adjoint-based adaptive mesh), were used to compute off-body sonic boom pressure signatures of the SLSLE model at several different altitudes below the model at Mach 2.0. The computed pressure signatures compared well with wind tunnel data. The effect of the different altitude for signature extraction was evaluated by extrapolating the near field signatures to the ground and comparing pressure signatures and sonic boom loudness levels.
An evaluation of sunlight-viewable displays

There is a need for displays that can be read even in adverse environmental conditions such as under high intensity, directed sunlight. This is particularly important in self-service terminals that may be placed in an exterior location. These terminals are intended to be used by the general public. This paper reports the results of a study comprising of four evaluations of sunlight viewable displays. These evaluations consisted of 16 and 20 participants, with two additional expert reviews. A comparison is made between two different types of display technology, namely, transflective and high-bright backlit displays, and results are presented of this comparison. Secondary comparisons of different approaches for managing glare and reflections are also presented and discussed. Transflective displays were found to be at least as good as high-bright alternatives and are therefore promoted as a viable technology for daylight-viewable displays to be placed in an exterior environment.
Gridnet: An Alternative Large Distributed Network

Although numerous loop and ring configurations have been developed, 14 few, if any, existing networks could survive wide-scale disasters. Network configurations that are centrally controlled to promote the efficient transfer of information are particularly vulnerable in times of disaster for an obvious reason: They depend upon the continued operation of the controller. More fault-tolerant configurations use either distributed control5 to permit gradual degradation of network performance when nodes fail or double loops 6'7 to provide redundancy or limited rerouting of data when links fail. However, most of the current fault-tolerant configurations are either (1) vulnerable to becoming fragmented in a hostile environment, (2) incapable of handling some of the problems that arise when link outages occur, or (3) incapable of ensuring message delivery in a hostile environment (see box on p. 58 for further information). Consequently, Gridnet has been developed to address these yet unsolved network configuration and network survival problems. It is a candidate for applications (1) where the data communications channels are provided by physical media-preferably optical fibers, and (2) where, after a disaster, maintenance of communications with surviving nodes in an unfragmented network is vital, despite the disablement or destruction of any portion of the network. In Gridnet, the chances of network survival have been improved by developing many alternate routes for data transmission and by using distributed processing to route selection and communications control; this routing is accomplished independently of any single node or link. Each loop within the network is connected to a maximum of four adjacent loops by "gateway" stations. Gateway stations make routing decisions based on their knowledge of the operational status of other loops in the local neighborhood , rather than on the status of the entire network. Consequently, the fraction of available bandwidth used to convey a station's status is a fixed quantity and not dependent upon total network size. Each gateway station on a loop can also perform the master station's communications control functions required by the link level protocol. If the gateway performing this activity should fail, one of the other gateways on the loop takes over the master functions. These Gridnet features ensure the successful routing of a message from its source to its destination as long as any operable path exists between the two points. The penalty exacted for this capability is that a message may not take as short a route to its destination as could …
Intelligent Phishing Website Detection System using Fuzzy Techniques

Phishing Websites are forged Web pages that are created by malicious people to mimic Web pages of real Websites and it attempts to defraud people of their personal information. Detecting and identifying Phishing Websites is really a complex and dynamic problem involving many factors and criteria, and because of the subjective considerations and the ambiguities involved in the detection, Fuzzy Logic model can be an effective tool in assessing and identifying phishing Websites than any other traditional tool since it offers a more natural way of dealing with quality factors rather than exact values. In this paper, we present novel approach to overcome the 'fuzziness' in traditional Website phishing risk assessment and propose an intelligent resilient and effective model for detecting phishing Websites. The proposed model is based on FL operators which is used to characterize the Website phishing factors and indicators as fuzzy variables and produces six measures and criteria's of Website phishing attack dimensions with a layer structure. Our experimental results showed the significance and importance of the phishing Website criteria (URL & Domain Identity) represented by layer one, and the variety influence of the phishing characteristic layers on the final phishing Website rate.
A CONCEPT FOR ASSIGNMENT OF TEXTURES TO PARTIALLY OCCLUDED FACES OF 3D CITY MODELS STORED IN CITYGML

Automatic texture mapping is an important task in enrichment of the common 3D city models. A significant part of all algorithms for automated texture mapping is the visibility checking. Nowadays most algorithms for texture extraction use visibility check based on z-buffer or polygon intersection in the image plane. Thus, the visibility of particular face is calculated for every frame independently. However, in many 3D city models some polygons are modeled which can be never visible for the camera because of e.g. neighboring buildings. In this paper we discuss how the topological relations between buildings and semantics can be used for visibility checking and texture mapping. First, the influence of the automatic 3D reconstruction on the geometry and topology of the 3D city models is discussed. Then, the strategy for enrichment of the model with information about invisible faces or their parts in neighboring buildings is presented. Further, the possibilities for storage of the geometry of touching buildings are reviewed considering the CityGML standard. Finally, two procedures for storage of the invisible faces: in the geometry and in the texture are presented.
Multi-Task Multi-View Clustering

Multi-task clustering and multi-view clustering have severally found wide applications and received much attention in recent years. Nevertheless, there are many clustering problems that involve both multi-task clustering and multi-view clustering, i.e., the tasks are closely related and each task can be analyzed from multiple views. In this paper, we introduce a multi-task multi-view clustering framework which integrates within-view-task clustering, multi-view relationship learning, and multi-task relationship learning. Under this framework, we propose two multi-task multi-view clustering algorithms, the bipartite graph based multi-task multi-view clustering algorithm, and the semi-nonnegative matrix tri-factorization based multi-task multi-view clustering algorithm. The former one can deal with the multi-task multi-view clustering of nonnegative data, the latter one is a general multi-task multi-view clustering method, i.e., it can deal with the data with negative feature values. Experimental results on publicly available data sets in web page mining and image mining show the superiority of the proposed multi-task multi-view clustering algorithms over either multi-task clustering algorithms or multi-view clustering algorithms for multi-task clustering of multi-view data.
Policy-Based Integration of Provenance Metadata

Reproducibility has been a cornerstone of the scientific method for hundreds of years. The range of sources from which data now originates, the diversity of the individual manipulations performed, and the complexity of the orchestrations of these operations all limit the reproducibility that a scientist can ensure solely by manually recording their actions. We use an architecture where aggregation, fusion, and composition policies define how provenance records can be automatically merged to facilitate the analysis and reproducibility of experiments. We show that the overhead of collecting and storing provenance metadata can vary dramatically depending on the policy used to integrate it.
Trends in Finnish Public Orthodontic Care from the Professionals' Perspective

The study maps out orthodontic care in Finnish municipal health centres in 2001, describes changes during the previous ten years reported by chief dental officers, and assesses the views of orthodontists on current public orthodontic services. The data were collected by questionnaires sent to all health centres and all orthodontists in Finland. Of all 0–18-year-olds, 11% were receiving orthodontic treatment with an appliance (range 2–43% among the health centres). The most frequently used appliances were headgear, quadhelix, and fixed appliances. Limited economic resources and the lack of orthodontic expertise were mentioned by the chief dental officers as factors decreasing the volume of services. The orthodontists mentioned the large regional variation and the lack of national guidelines as the most important aspects that should be improved on a national basis. To bring about improvement, they suggested increasing the number of specialist orthodontists and the delegation of orthodontic tasks to auxiliaries.
Manipulation of pain catastrophizing: An experimental study of healthy participants

Pain catastrophizing is associated with the pain experience; however, causation has not been established. Studies which specifically manipulate catastrophizing are necessary to establish causation. The present study enrolled 100 healthy individuals. Participants were randomly assigned to repeat a positive, neutral, or one of three catastrophizing statements during a cold pressor task (CPT). Outcome measures of pain tolerance and pain intensity were recorded. No change was noted in catastrophizing immediately following the CPT (F(1,84) = 0.10, p = 0.75, partial η2 < 0.01) independent of group assignment (F(4,84) = 0.78, p = 0.54, partial η2 = 0.04). Pain tolerance (F(4) = 0.67, p = 0.62, partial η2 = 0.03) and pain intensity (F(4) = 0.73, p = 0.58, partial η2 = 0.03) did not differ by group. This study suggests catastrophizing may be difficult to manipulate through experimental pain procedures and repetition of specific catastrophizing statements was not sufficient to change levels of catastrophizing. Additionally, pain tolerance and pain intensity did not differ by group assignment. This study has implications for future studies attempting to experimentally manipulate pain catastrophizing.
Gaussian Networks for Direct Adaptive Control

A direct adaptive tracking control architecture is proposed and evaluated for a class of continuous-time nonlinear dynamic systems for which an explicit linear parameterization of the uncertainty in the dynamics is either unknown or impossible. The architecture employs a network of gausian radial basis functions to adaptively compensate for the plant nonlinearities. Under mild assumptions about the degree of smoothness exhibited by the nonlinear functions, the algorithm is proven to be stable, with tracking errors converging to a neighborhood of zero. A constructive procedure is detailed, which directly translates the assumed smoothness properties of the nonlinearities involved into a specification of the network required to represent the plant to a chosen degree of accuracy. A stable weight adjustment mechanism is then determined using Lyapunov theory. The network construction and performance of the resulting controller are illustrated through simulations with an example system.
Effectiveness of Teaching Stress on Academic Performance of College Teachers in Pakistan

The purpose of this study was to explore the stress level in teaching job at college level in Pakistan. There were two main questions discussed in this study, is there any stress in teaching job if yes what are those and second how stress effect the performance of cadres of college teachers in public and private sectors in Pakistan. Stress in teaching varies to the ranks hold by the teachers and environment where they are working. The study examines all the factors causing the stress for teachers working in different levels and the performance of teachers in terms of out put and the satisfaction level of teachers towards their jobs. A statistical treatment was given to the data gathered from 106 college teachers of public and private sectors selected through stratified sampling technique. The test of regression analysis, t-test, one-way ANOVA and two-way ANOVA were applied. It was found that intrinsic and extrinsic variables have positive effects on academic performance of college teachers. As a result of the study, no statistical difference was noted in academic performance of teachers of boys and girls colleges whereas significant difference was found between academic performance teachers of public and private colleges. There was no statistical significance found at the p>0.05 level of academic performance for different cadres of college teachers and also for their teaching experience. However, there was statistical significance noted at the p<0.05 level in academic performance for the public and private colleges. The interaction effect between cadres of college teachers and their experience was not statistical significant and the main effect for these two factors did not reach the statistical significance. The results of the study are interesting and may help in exploring the possibilities of sharing and generating cross-cultural studies among countries of the region.
Cross Reactive Cellular Immune Response to HCV Genotype 1 and 4 Antigens among Genotype 4 Exposed Subjects

Background Hepatitis C Virus (HCV) infection is a global health burden particularly in Egypt, where HCV genotype 4a (GT-4a) predominates. The prevention and control of HCV infection will remain a challenge until the development of an effective vaccine that protects against different genotypes. Several HCV GT-1-based vaccines are in different stages of clinical trials, but antigenic differences could make protection against other genotypes problematic. In this regard, data comparing the cell-mediated immune (CMI) response to different HCV genotypes are limited. We aimed to ex vivo investigate whether GT-1-based vaccine may protect against HCV GT-4 infections. This was carried out on samples collected from genotype 4 infected/exposed subjects. Methods/Principal Findings The CMI responses of 35 subjects; infected with HCV GT-4/or who had spontaneously-resolved the infection and 10 healthy control subjects; to two sets of seven HCV overlapping 15-mer peptide pools derived from both genotypes; and covering most of the viral proteins; were evaluated. This was carried out using an interferon gamma (IFNγ) enzyme-linked immunospot (ELISpot) assay. Peripheral blood mononuclear cells (PBMC) from 17 subjects (48%) responded to at least one peptide pool derived from GT-1b/GT-4a with 13 subjects responding to peptide pools from both genotypes. A strong correlation was found in the responses to both genotypes (r = 0.82, p<0.001; 95% confidence interval = 0.562–0.933). The average IFNγ total spot forming cells (SFC)/106 PBMC (±SE) from the responding subjects for GT-1b and GT-4a was 216±56 and 199±55, respectively (p = 0.833). Also, there were no significant differences between those who cleared their HCV infection or who remained HCV-RNA positive (p = 0.8). Conclusion/Significance Our data suggest that an effective GT-1b vaccine could protect from GT-4a infection. These data could help in HCV rationale vaccine design and efficacy studies and further our understanding of HCV cross protection against different genotypes.