Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-awareness of mental states, self-integration of personal schemas, perceived social support, posttraumatic and depression levels, and moral injury : A mixed-method study among portuguese war veterans

This study analyzed the role of moral injury, self-awareness of mental states, self-integration of moral injury in personal schemas, and perceived social on the severity of Posttraumatic Stress Disorder (PTSD) and depression symptoms. The sample was composed of Portuguese war veterans (n 60) divided into 2 groups: 30 experienced chronic PTSD (nonrecovered) and 30 had remission from PTSD (recovered). A cross-sectional study was conducted using both qualitative and quantitative methods. Qualitative data were obtained through 2 interviews per participant, and the quantitative data were collected using the Impact of Event Scale–Revised and Brief Symptom Inventory. Content analysis was performed to analyze qualitative data. Multiple linear regression analyses were conducted predicting both PTSD and depression symptoms. Recovered participants showed higher frequencies on moral injury, high selfawareness of mental states, high self-integration of moral injury in personal schemas, and high perceived social support. Differences in moral injury (yes vs. no) showed no differences in both PTSD and depression symptoms. Participants who reported low self-awareness of mental states and self-integration of moral injury in personal schemas showed higher mean value for both PTSD and depression symptoms. Participants who reported low perceived social support showed higher mean value on depression symptoms. Self-integration of moral injury in personal schemas and self-awareness of mental states were predictors of both PTSD and depression symptoms. Combat exposure was a predictor of PTSD symptoms. The authors discuss the role of reconciliation of morally incongruent experiences in personal schemas and the ability to perceive and understand psychological states as key achievements in recovery from PTSD and depression symptoms among veterans.
Modeling Semantic Web Services with OPM/S A Human and Machine-Interpretable Language

The World-Wide-Web is now a ubiquitous, global tool, used for finding information, communicating ideas, carrying out distributed computation, and conducting business, learning and science. Web services and the Semantic Web are emerging as a powerful infrastructure for distributed computing. However, even though standard methods that define semantics of Web services, such as OWL-S, may aid in the development and deployment of these services, they are hardly designed to be easily understandable and usable by developers. Complexity and lack of accessibility of Web services and the Semantic Web hinders their usage by the information industry. OPM/S, which is based on Object-Process Methodology (OPM), offers a bi-modal visual-lingual representation that is both intuitive for humans and formal for machines. Utilization of ontologies and interoperability are two issues addressed by the OPM/S modeling environment. Ontologies are expressed as meta-libraries, which are specified in OPM or OWL, and can be dynamically linked to semantic Web services in a distributed environment. Interoperability is achieved using a transparent reuse method that enables dynamic development of Web services and their integration into more complex Web services. Using a running example, the paper presents OPM/S and its mapping to OWL-S. The benefits and shortcomings are discusses and compared with other OWL-S modeling methods.
Saving space by algebraization

The Subset Sum and Knapsack problems are fundamental NP-complete problems and the pseudo-polynomial time dynamic programming algorithms for them appear in every algorithms textbook. The algorithms require pseudo-polynomial time and space. Since we do not expect polynomial time algorithms for Subset Sum and Knapsack to exist, a very natural question is whether they can be solved in pseudo-polynomial time and polynomial space. In this paper we answer this question affirmatively, and give the first pseudo-polynomial time, polynomial space algorithms for these problems. Our approach is based on algebraic methods and turns out to be useful for several other problems as well. Then we show how the framework yields polynomial space exact algorithms for the classical Traveling Salesman, Weighted Set Cover and Weighted Steiner Tree problems as well. Our algorithms match the time bound of the best known pseudo-polynomial space algorithms for these problems.
Design and Implementation of QoS Guaranteed Bridge System for High Speed PLC and UWB

This paper presents the software architecture of a high speed power line communication and ultra-wideband bridge system that can guarantee quality of service (QoS) for multimedia streaming in a home network. Due to recent wireless technology developments, ultra-wideband is becoming a viable solution for low cost personal area communication and home entertainment applications. Ultra-wideband has good features such as high bandwidth and low power consumption for mobile multimedia streaming, but it only supports communications over short distances due to its wave characteristics. Therefore, we have to use wired communication to extend the ultra-wideband coverage area. High speed PLC does not require any additional wiring in order to transmit a high bandwidth multimedia stream and provides sufficient bandwidth for handling a home entertainment network. Therefore a high speed PLC and ultra-wideband bridge system provides a multimedia streaming environment in the home without new wiring. The bridge system proposed can provide UPnP QoS device service and the traffic characteristic management function for end-to-end QoS for various multimedia services in the home.
Segmented Spoken Document Retrieval Using Word Co-occurrence Information

But the cosine similarity treats words having the same meaning (e.g. ASR and speech recognition) as different ones. ・To overcome these issues, pointwise mutual information (PMI) is employed. ・PMI represents a relationship between two words. ・To reject mis-recognized words, PMI is used to compute a contextual coherency of a word. ・For query-document comparison, PMI is used to consider the similarity of different words. ・The relationship between a word w and a document d is computed by sumPMI(w) used for rejection with a threshold.
Machine Learning with Semantic-Based Distances Between Sentences for Textual Entailment

This paper describes our experiments on Textual Entailment in the context of the Third Pascal Recognising Textual Entailment (RTE-3) Evaluation Challenge. Our system uses a Machine Learning approach with Support Vector Machines and AdaBoost to deal with the RTE challenge. We perform a lexical, syntactic, and semantic analysis of the entailment pairs. From this information we compute a set of semantic-based distances between sentences. The results look promising specially for the QA entailment task.
Neural crest cells are required for correct positioning of the developing outflow cushions and pattern the arterial valve leaflets

Aims Anomalies of the arterial valves, principally bicuspid aortic valve (BAV), are the most common congenital anomalies. The cellular mechanisms that underlie arterial valve development are poorly understood. While it is known that the valve leaflets derive from the outflow cushions, which are populated by cells derived from the endothelium and neural crest cells (NCCs), the mechanism by which these cushions are sculpted to form the leaflets of the arterial valves remains unresolved. We set out to investigate how NCCs participate in arterial valve formation, reasoning that disrupting NCC within the developing outflow cushions would result in arterial valve anomalies, in the process elucidating the normal mechanism of arterial valve leaflet formation. Methods and results By disrupting Rho kinase signalling specifically in NCC using transgenic mice and primary cultures, we show that NCC condensation within the cardiac jelly is required for correct positioning of the outflow cushions. Moreover, we show that this process is essential for normal patterning of the arterial valve leaflets with disruption leading to a spectrum of valve leaflet patterning anomalies, abnormal positioning of the orifices of the coronary arteries, and abnormalities of the arterial wall. Conclusion NCCs are required at earlier stages of arterial valve development than previously recognized, playing essential roles in positioning the cushions, and patterning the valve leaflets. Abnormalities in the process of NCC condensation at early stages of outflow cushion formation may provide a common mechanism underlying BAV, and also explain the link with arterial wall anomalies and outflow malalignment defects.
The Endocrine Function of the Placenta: Interactions Between Trophic Peptides and Hormones

The placenta is classically considered to be a source of hormones that play an important role in the establishment and maintenance of pregnancy. Because of its hemochorial structure, the human placenta produces hormones and easily secretes them into the maternal circulation. They include steroid hormones, such as estrogens and progesterone, and protein hormones, the most important of which are the chorionic gonadotrophins (hCG), discovered in 1927. During the period from 1960 to 1980, the concept of a fetoplacental unit (1) with a complementary role for the fetus in steroid production offered a new approach to steroid metabolism, and since then new proteins and neuropeptides have been discovered (2,3). However, the lack of innervation of placental tissue highlights the importance of understanding neuroendocrine regulation of placental physiology. Sophisticated culture methods enabling the study of biologic phenomena occurring during transformation of cytotrophoblast cells into a syncytiotrophoblast (4) have been combined with electron microscopy and histochemistry. Possibilities offered by molecular biology, including in situ hybridization and molecular cloning studies, have also completely modified current knowledge and revealed the presence of a multitude of factors, such as neuropeptides, cytokines, and growth factors, with their own receptors, but the role of these factors is often unclear. Results from these different approaches have recently added a new concept to the classic notion of endocrine production (with hormone secretion into the fetal or maternal circulation, followed by an eventual effect on other organs)—that of paracrine (between cells)/autocrine (into the same cell) regulation, varying at different stages of gestation and under pathologic conditions.
Impact of Integrated Services on HIV Testing: A Nonrandomized Trial among Kenyan Family Planning Clients

The impact of integrated reproductive health and HIV services on HIV testing and counseling (HTC) uptake was assessed among 882 Kenyan family planning clients using a nonrandomized cohort design within six intervention and six “comparison” facilities. The effect of integration on HTC goals (two tests over two years) was assessed using conditional logistic regression to test four “integration” exposures: a training and reorganization intervention; receipt of reproductive health and HIV services at recruitment; a functional measure of facility integration at recruitment; and a woman's cumulative exposure to functionally integrated care across different facilities over time. While recent receipt of HTC increased rapidly at intervention facilities, achievement of HTC goals was higher at comparison facilities. Only high cumulative exposure to integrated care over two years had a significant effect on HTC goals after adjustment (aOR 2.94, 95%CI 1.73‐4.98), and programs should therefore make efforts to roll out integrated services to ensure repeated contact over time.
Treatment of Percolate from Metal Sulfide Mine Tailings with a Permeable Reactive Barrier of Transformed Red Mud

Metal sulfide tailings of the Sardinian (Italy) abandoned Baccu Locci arsenic mine show high concentrations of aluminum, arsenic, cadmium, copper, manganese, lead, and zinc in acid percolate (pH = 4) and have been classified as “dangerous waste. ” This paper shows that the release of toxic metals can be strongly reduced when the tailings are placed on a reactive permeable bed (7 wt %) of porous, alkaline pellets of transformed red mud (TRM). During a laboratory percolation test, two columns with 80 kg of waste, of which one contained a bottom layer of TRM pellets, were each alimented with 600 L of de‐ionized water. Comparing pH, electroconductivity, metal, and sulfate concentrations of collected percolate from both columns demonstrates efficient neutralization (pH = 7.4) and removal of metals (80 to 99%) for the column with the permeable reactive bottom layer.
A Hybrid Approach to Detect and Recognize Texts in Images

Text data present in images serves important information which is helpful for different applications. Locating text in case of variation in style, color, as well as complex image background makes text reading from images challenging. Here new framework is explored which can automatically detect and localization and recognize aligned text from CAPTCHA images. In this paper ,a hybrid approach to detect and recognize texts in CAPTCHA images is introduced. Through this approach the strength of CAPTCHA can be checked. This proposed method successfully detects and recognizes the text with a low false positive.
Near-optimal signal detection with low complexity based on Gauss-Seidel method for uplink large-scale MIMO systems

Minimum mean square error (MMSE) algorithm is near-optimal for uplink large-scale MIMO systems, but involves high-complexity matrix inversion. In this paper, based on a special property of uplink large-scale MIMO systems that the filtering matrix of the MMSE algorithm is symmetric positive definite as we will prove, we propose to exploit the Gauss-Seidel method to iteratively realize the MMSE algorithm without the complicated matrix inversion. The proposed signal detection algorithm can reduce the complexity by one order of magnitude. Simulation results verify that the proposed algorithm outperforms the recently proposed Neumann series approximation algorithm, and achieves the near-optimal performance of the classical MMSE algorithm with a small number of iterations.
Sybil Attacks and Their Defenses in the Internet of Things

The emerging Internet-of-Things (IoT) are vulnerable to Sybil attacks where attackers can manipulate fake identities or abuse pseudoidentities to compromise the effectiveness of the IoT and even disseminate spam. In this paper, we survey Sybil attacks and defense schemes in IoT. Specifically, we first define three types Sybil attacks: SA-1, SA-2, and SA-3 according to the Sybil attacker's capabilities. We then present some Sybil defense schemes, including social graph-based Sybil detection (SGSD), behavior classification-based Sybil detection (BCSD), and mobile Sybil detection with the comprehensive comparisons. Finally, we discuss the challenging research issues and future directions for Sybil defense in IoT.
Intelligent Techniques for Image Sequence Analysis : Towards Semantic Video Object Segmentation

In this paper, an integrated framework towards semantic video object segmentation is proposed using intelligent techniques. In particular a neural network has been implemented the weights of which indicate how regions of different properties should be merged together to extract the semantic object. Since, however, different objects or different applications require different rules, the network weights cannot be considered constant. For this reason, a weight adaptation mechanism is adopted in this paper to appropriately estimate new weights whenever this is necessary. Both supervised and unsupervised cases are discussed to show that the proposed architecture actually provides an integrated framework for object extraction.
An investigation of the use of structured e-forum for enhancing e-participation in parliaments

The e-participation research has investigated and suggested some Information and Communication Technologies (ICTs) tools such as e-forum, e-petition and e-community tools. This paper investigates the use of an advanced and more structured ICT tool, the 'structured e-forum', for supporting and enhancing e-participation and e-consultation in the legislation formation process in Parliaments. For this purpose, we designed and implemented an e-consultation pilot on a law under formation in the Greek Parliament, using a structured e-forum tool based on the Issue-Based Information Systems (IBISs) framework. This pilot has been evaluated using multiple methods (analysis of discussion tree, quantitative evaluation and qualitative evaluation).
A comparison of diagnostic methods in adolescent girls with and without symptoms of Chlamydia urogenital infection.

OBJECTIVE To evaluate the clinical utility of various diagnostic tests, two enzyme immunoassays and a chemiluminescent DNA probe were compared with cell culture (with monoclonal antibody confirmation) for the diagnosis of endocervical Chlamydia trachomatis infection. DESIGN The clinical performance of four diagnostic methods for Chlamydia trachomatis urogenital infections were compared, using specimens generated from consecutive pelvic examinations. SETTING Subjects were recruited from an urban adolescent clinic that provides primary and referral care. PARTICIPANTS A total of 479 adolescent female subjects were enrolled. The order of sample collection was randomized. Subjects were stratified according to whether they were asymptomatic (n = 228) or symptomatic (n = 251). MEASUREMENTS AND RESULTS Discrepant analysis was performed when culture was negative and nonculture technique was positive. The subject was considered to have chlamydia if culture was positive, or if one or more nonculture techniques, with that test's confirmatory assay, were positive (consensus-positive). Prevalence of chlamydia was 11.0% in the asymptomatic, and 20.7% in the symptomatic, group. Overall, 32.5% of the infected subjects were asymptomatic. Sensitivity of diagnostic methods varied from 52% to 80% in the asymptomatic subjects, compared with 65% to 81% in symptomatic subjects. Culture sensitivity was 75% to 80%. The specificities of all tests were 96% or greater. Accuracy of nonculture methods varied from 89.5% (DNA probe, symptomatic subjects) to 96.9% (enzyme immunoassay asymptomatic subjects). CONCLUSIONS There are significant differences in symptomatic subjects when evaluating accuracy of test outcome, using a consensus-positive criterion. Asymptomatic infections account for nearly one third of adolescent females infected with chlamydia. The prevalence of chlamydia urogenital infections are underestimated by any single diagnostic test, particularly in the asymptomatic patient.
Intracellular transport of proteins in active and resting secretory cells of the venom gland of Vipera palaestinae

The intracellular transport of venom proteins has been studied in active and resting venom glands of the snake Vipera palaestinae by electron microscope radioautography after an intra-arterial injection of [3H]leucine. In the active gland, most of the label is initially (10 min) found over the RER. By 30 min, the relative grain density of the Golgi complex reaches its maximum, with concomitant increase in the labeling of the condensing vacuoles. Later on, a steep increase in radioactivity of the secretory granules is observed. At 3 h, these granules, which comprise about 2% of the cell volume, contain 22% of the total grains. At the following hour, their labeling declines and at the same time the radioactivity of the secreted venom is increased. It is concluded that, in the active cell, venom proteins are transported via the Golgi apparatus into membrane-bounded granules which are the immediate source of the secreted venom. An alternative pathway, which involves the RER cisternae as a storage compartment, seems unlikely, since incorporated label does not accumulate in this compartment after prolonged postpulse intervals. The route of intracellular transport of proteins in the resting glands is similar to that of the active ones, but the rate of synthesis and transport is much slower. The present results and earlier data, thus, show that the increase in the rate of secretion after initiation of a new venom regeneration cycle is the result of accelerated rates of both synthesis and transport.
The finite element immersed boundary method: model, stability, and numerical results

Key words: Immersed boundary method, ﬂnite element method, °uid-structure inter-actionAbstract. The Immersed Boundary Method (IBM) has been designed by Peskin forthe modeling and the numerical approximation of °uid-structure interaction problems.Recently, a ﬂnite element version of the IBM as been developed, which oﬁers interestingfeatures for both the analysis of the problem under consideration and the robustness and°exibility of the numerical scheme. In this paper we shall review our model and presentnumericalresults in two and threedimensions fully conﬂrmingthe good performanceof ourscheme. A preliminary stability analysis shows a condition linking the time step size andthe discretization parameter along the immersed boundary. This condition is conﬂrmedby our numerical experiments.1 INTRODUCTIONFluid-structure interaction systems often involve the resolution of the °uid dynamicequations on a moving (that is, time dependent) domain. Several approaches have beenconsidered in order to deal with such problem. A classical way to overcome the di–cul-ties due to the reconstruction of the mesh at each time step, is the introduction of thearbitrary Lagrangian-Eulerian (ALE) formulation [1, 2, 3, 4, 5, 6], transporting the equa-tions to a ﬂxed arbitrary reference conﬂguration. Although this approach has been usedsuccessfully, its accurate implementation is expensive in real applications. In order to beable to solve at low cost °uid structure interaction problems undergoing moderate de-1
Suicidal Thoughts and Behaviours Among Australian Adults: Findings from the 2007 National Survey of Mental Health and Wellbeing

Objectives: To provide an overview of the lifetime and 12 month prevalence of suicidal ideation, suicide plans and suicide attempts for Australian adults as a whole and for particular sociodemographic and clinical population subgroups, and to explore the health service use of people with suicidality. Method: Data came from the 2007 National Survey of Mental Health and Wellbeing (2007 NSMHWB), a nationally, representative household survey of 8841 individuals aged 16–85 years. Results: A total of 13.3% of respondents had suicidal ideation during their lifetime, 4.0% had made a suicide plan and 3.2% had made a suicide attempt. The equivalent 12 month prevalence rates were 2.3%, 0.6% and 0.4%, for ideation, plans and attempts, respectively. In general, suicidality in the previous 12 months tended to be relatively more common in women, younger people, those outside the labour force, and those with mental disorders; and less common in those who were married or in de facto relationships, and those with moderate levels of education. A number of the differences in prevalence rates between sociodemographic and clinical subgroups did not reach statistical significance due to data availability constraints and the conservative tests of significance that were used by necessity. These patterns warrant further exploration. Service use for mental health problems was higher among people with suicidality than it was among the general population, but significant numbers of those experiencing suicidality did not receive treatment. Conclusions: Suicidal thoughts and behaviours are not uncommon among the Australian adult population. These thoughts and behaviours are not only predictive of subsequent fatal suicidal acts, but are significant public health problems in their own right. They are associated with high levels of burden at an individual and societal level. Further analysis is required to assess the effectiveness of the national policy frameworks in reducing the spectrum of suicidal thoughts and behaviours.