Miracle-dz/UniFAR-FTUs huggingface dataset:
Concealment of Suicidal Ideation in Psychotherapy

Concealment of Suicidal Ideation in Psychotherapy Matthew P. Blanchard Purpose: Assessment and management of suicidal risk often relies on the client’s willingness to disclose suicidal thoughts or behaviors. Understanding why clients make the decision to conceal these symptoms is key to improving techniques of assessment. This study directly queried suicide concealers to learn how psychotherapists can better elicit honest disclosure of suicidal material. Method: A sample of 107 suicide concealers provided both short essay responses and multiple choice responses explaining why they concealed suicidal thoughts from their therapist. In addition, a sub-sample of 64 suicide concealers provided short essay responses describing what they thought their therapist could do differently to help them disclose, and answered multiplechoice questions explaining how they felt about concealment, and whether concealment impacted their therapy. Content analysis was used to identify motives and themes in short essay responses. Results: Nearly three-fourths of suicide concealers cited fear of practical consequences as the reason they did not disclose. Chief among these fears was involuntary hospitalization, which respondents viewed as the likely outcome of telling a therapist about their suicidal thoughts. Less concrete motives for concealment, such as shame or embarrassment, were significant but secondary concerns. Nearly half of suicide-concealing clients said they would be more honest only if the threat of hospitalization was somehow reduced or controlled. Many asked for some form of assurance or explanations about the chances of being hospitalized as a result of their disclosure. Concealers most commonly felt conflicted about their decision to conceal, with significant numbers feeling frustrated or guilty as well as safe or in control. While a quarter of concealers believed concealment hurt their progress in therapy, the majority reported no effect. Limitations: While responses suggest a range of symptom severity, the sample includes an unknown proportion of mild versus severe suicide risk, reducing generalizability to the general or clinical population. Male and minority clients are under-represented in the sample. Conclusions: The concerns expressed by the suicide concealers in this sample suggest that improving techniques of suicide risk assessment may require renewed attention to providing transparent, complete, and easy-to-understand psychoeducation about the triggers for hospitalization and other possible outcomes of disclosure. Clients ultimately control their level of disclosure, and the results of this study suggest they desire sufficient knowledge to make an informed decision.
Market-based grid resource allocation using a stable continuous double auction

A market-based grid resource allocation mechanism is presented and evaluated. It takes into account the architectural features and special requirements of computational grids while ensuring economic efficiency, even when the underlying resources are being used by self-interested and uncooperative participants. A novel stable continuous double auction (SCDA), based on the more conventional continuous double auction (CDA), is proposed for Grid resource allocation. It alleviates the unnecessarily volatile behaviour of the CDA, while maintaining other beneficial features. Experimental results show that the SCDA is superior to the CDA in terms of both economic efficiency and scheduling efficiency. The SCDA delivers continuous matching, high efficiency and low cost, allied with low price volatility and low bidding complexity. Its ability to deliver immediate allocation and its stable prices facilitate co-allocation of resources and it also enables incremental evolution towards a full grid resource market. Effective market-based Grid resource allocation is thus shown to be feasible.
Does Virtual Reality Elicit Physiological Arousal In Social Anxiety Disorder

The present study examined the ability of a Virtual Reality (VR) public speaking task to elicit physiological arousal in adults with SAD (n=25) and Controls (n=25). A behavioral assessment paradigm was employed to address three study objectives: (a) to determine whether the VR task can elicit significant increases in physiological response over baseline resting conditions (b) to determine if individuals with SAD have a greater increase from baseline levels of physiological and self-reported arousal during the in vivo speech task as opposed to the VR speech task and (c) to determine whether individuals with SAD experience greater changes in physiological and selfreported arousal during each speech task compared to controls. Results demonstrated that the VR task was able to elicit significant increases in heart rate, skin conductance, and respiratory sinus arrhythmia, but did not elicit as much physiological or self-reported arousal as the in vivo speech task. In addition, no differences were found between groups. Clinical implications of these findings are discussed.
On the Decision Problem for Two-Variable First-Order Logic

Abstract We identify the computational complexity of the satisfiability problem for FO2, the fragment of first-order logic consisting of all relational first-order sentences with at most two distinct variables. Although this fragment was shown to be decidable a long time ago, the computational complexity of its decision problem has not been pinpointed so far. In 1975 Mortimer proved that FO2 has the finite-model property, which means that if an FO2-sentence is satisiable, then it has a finite model. Moreover, Mortimer showed that every satisfiable FO2-sentence has a model whose size is at most doubly exponential in the size of the sentence. In this paper, we improve Mortimer's bound by one exponential and show that every satisfiable FO2-sentence has a model whose size is at most exponential in the size of the sentence. As a consequence, we establish that the satisfiability problem for FO2 is NEXPTIME-complete.
Financial Globalization, Capital Account Liberalization and International Consumption Risk-Sharing

This paper analyzes whether international risk-sharing has improved along the same lines as the process of financial globalization. International financial markets allow investors to efficiently diversify their risks. Agents can protect themselves against fluctuations in their incomes through trading in assets with appropriate payoff structures. However, the usual finding in the literature is that international risk-sharing is quite limited. We argue that despite the liberalization of capital accounts and the removal of various legal barriers to capital mobility, international risk-sharing still appears to be rather limited.
Consistency Checking Between Value Models and Process Models: A Best-of-Breed Approach

Business value models and process models describe the same subject from a different perspective. Therefore, it is important that both models are consistent with each other. To do consistency checking, we construct an intermediate model that captures the physical transfers in a value model, thereby reducing the conceptual gap between value and process models. This physical transfer model can then be checked for consistency with a process model via the already existing “reduced model” approach. A reduced model is a simplified representation of a value model or process model, where common concepts represent aspects from both the value and process model. We illustrate our approach using a small case study in the electricity sector.
DINloop based inter-domain multicast with MPLS

To overcome the existing scalability problems, DINloop (Data-in-Network loop) based multicast with MPLS (multiprotocol label switching) is proposed to optimize inter-domain multicast. In our approach, multiple DIN Nodes in the core network form the DINloop using MPLS so that multiple multicast sessions share a single DINloop. We adopts a label stack method to use fewer labels and label switch paths (LSPs) are established between DIN Nodes to create the DINloop. Packet processing module analyzes the coming multicast packet and MPLS Manager assigns a label stack to it. Simulations show that DINloop based multicast uses the least message load needed to form the multicast architecture. In addition, the routing table size in the core router does not increase as the number of multicast group increases, and therefore DINloop based multicast increases the routing scalability for inter-domain multicast. Finally, the multicast delay in DINloop based multicast is moderate lager than other protocols.
Smartphone Measurement: do People Use Mobile Applications as they Say they do?

Designing viable mobile services requires in-depth understanding of how people deal with their mobile phones on a daily basis. Most studies on the use of mobile phones are based on surveys that ask people how often they think they use mobile applications. While such survey studies have provided numerous insights, they also pose issues of recall, accuracy and common method bias. Fortunately, smartphones enable more direct ways of collecting usage data by installing a background application that logs all user activities. Such smartphone measurement approach has only been applied in a handful of studies, typically limited to Nokia handsets. This paper scrutinizes the reliability of surveybased measures on the perceived use of mobile services by contrasting them with log data obtained in a smartphone measurement study. We analyze the results of a smartphone measurement study carried out in the Netherlands among 129 users of iPhone, Blackberry and Android phones. Users appear moderately accurate in assessing the use of mainstream services like SMS, email and browsing, but not regarding navigation and weather information services. The findings suggest that traditional survey approaches should be complemented with smartphone measurement in order to really understand how users deal with mobile services.
MultiLing 2017 Overview

In this brief report we present an overview of the MultiLing 2017 effort and workshop, as implemented within EACL 2017. MultiLing is a community-driven initiative that pushes the state-of-the-art in Automatic Summarization by providing data sets and fostering further research and development of summarization systems. This year the scope of the workshop was widened, bringing together researchers that work on summarization across sources, languages and genres. We summarize the main tasks planned and implemented this year, the contributions received, and we also provide insights on next steps.
Report describing application of software to chosen IE scenario

In this report, we discuss the applicability of the generation techniques developed under Deep Thought to one of the chosen application scenarios. We consider the problem of generating reports from databases of consumer opinions extracted from newsgroups. Deep realisation is contrasted with the use of templates for realisation. We discuss how realisation interacts with other modules in a generation system and identify some areas where future research is needed.
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation

A new efficient algorithm is presented for joint diagonalization of several matrices. The algorithm is based on the Frobenius-norm formulation of the joint diagonalization problem, and addresses diagonalization with a general, non-orthogonal transformation. The iterative scheme of the algorithm is based on a multiplicative update which ensures the invertibility of the diagonalizer. The algorithm's efficiency stems from the special approximation of the cost function resulting in a sparse, block-diagonal Hessian to be used in the computation of the quasi-Newton update step. Extensive numerical simulations illustrate the performance of the algorithm and provide a comparison to other leading diagonalization methods. The results of such comparison demonstrate that the proposed algorithm is a viable alternative to existing state-of-the-art joint diagonalization algorithms. The practical use of our algorithm is shown for blind source separation problems.
Identification of text on colored book and journal covers

An approach to automatic text location and identification of colored book and journal covers is proposed. To reduce the amount of small variations in color, a clustering algorithm is applied in a preprocessing step. Two methods have been developed for extracting text hypotheses. One is based on a top-down analysis using successive splitting of image regions. The other is a bottom-up region growing algorithm. The results of both methods are combined to robustly distinguish between text and non-text elements. Text elements are binarized using automatically extracted information about text color. The binarized text regions can be used as input for a conventional OCR module. Results are shown for parts of book and journal covers of different complexity. The proposed method is not restricted to cover pages, but can be applied to the extraction of text from other types of color images as well.
Regulation of dynamin-2 assembly–disassembly and function through the SH3A domain of intersectin-1s

Intersectin‐1s (ITSN‐1s), a five Src homology 3 (SH3) domain‐containing protein, is critically required for caveolae and clathrin‐mediated endocytosis (CME), due to its interactions with dynamin (dyn). Of the five SH3A‐E domains, SH3A is unique because of its high affinity for dyn and potent inhibition of CME. However, the molecular mechanism by which SH3A integrates in the overall function of ITSN‐1s to regulate the endocytic process is not understood. Using biochemical and functional approaches as well as high‐resolution electron microscopy, we show that SH3A exogenously expressed in human lung endothelial cells caused abnormal endocytic structures, distorted caveolae clusters, frequent staining‐dense rings around the caveolar necks and 60% inhibition of caveolae internalization. In vitro studies further revealed that SH3A, similar to full‐length ITSN‐1s stimulates dyn2 oligomerization and guanosine triphosphatase (GTP)ase activity, effects not detected when other SH3 domains of ITSN‐1s were used as controls. Strikingly, in the presence of SH3A, dyn2–dyn2 interactions are stabilized and despite continuous GTP hydrolysis, dyn2 oligomers cannot disassemble. SH3A may hold up caveolae release from the plasma membrane and formation of free‐transport vesicles, by prolonging the lifetime of assembled dyn2. Altogether, our results indicate that ITSN‐1s, via its SH3A has the unique ability to regulate dyn2 assembly–disassembly and function during endocytosis.
Undergraduate students’ perception of their own strengths and weaknesses as potential social workers

Abstract This article offers some insight into how undergraduate social work students perceive their own strengths and weaknesses. This qualitative research study explored responses from 51 s-year students. Participant responses revealed five main themes in strengths and weaknesses categories: characteristic features, client work related, communication skills, expert-centred approach and problem-focused approach. In order to teach students social work core values and perspectives, it is crucial for the educators themselves to explore their own approaches related to the strengths perspective vs deficit-based approach and their willingness to change their own views and teaching methods to prepare future professionals.
Feature selection using a radial basis function neural network based on fuzzy set theoretic measure

A new method for feature selection using radial basis function neural networks based on fuzzy set theoretic measure is proposed. The network's input values are all the membership of f feature values in a certain sample appertaining to C lcass (f: the amount of features, C: the amount of classes). Here, the fuzzy set theoretic π measure based on the normal distribution is used for computing the membership. Hence, there are f x C π measurements that are used as the inputs of the neural network. A radial basis function neutral network with increasing hidden nodes is trained for classification, which is believed to be able to perfectly simulate the nonlinear relevance among the inputs. And then, we set zero to the C input nodes concerning one feature (we call this input vector the revised input vector), which means as far as this feature is concerned, it belongs to none of the classes, which is considered to be the real delinking. The deviation between the output corresponding to the revised input vector and the expected output corresponding to the unrevised one is thought to denote the impact and the importance of this feature. Through this way, we may rank the features and select a suitable feature subset. Effectiveness of this algorithm is demonstrated on several sets of data, and compared with the effect of the feature-bsed node-prune MLP neural network method.
What works best: objective statistics or a personal testimonial? An assessment of the persuasive effects of different types of message evidence on risk perception.

OBJECTIVE In an experimental online study we compared the effects of different types of persuasive evidence in promoting the acceptance of a personal health risk. DESIGN 118 men who have sex with men (MSM) at-risk for infection with the hepatitis B virus (HBV) were recruited via a range of websites and randomly assigned to one of 4 conditions (2 experimental and 2 control): narrative evidence (i.e., a personal account), statistical evidence (i.e., abstract prevalence data), mere assertion of increased risk, and no risk information. MAIN OUTCOME MEASURES Narrative evidence was expected to be more effective than statistical evidence in increasing MSM's perceived risk of infection with HBV and intention to obtain vaccination. RESULTS AND CONCLUSION As predicted, perceptions of personal risk and intention to obtain vaccination against HBV were highest after presentation of narrative evidence, and risk perception mediated the effect of type of message evidence on intention. We propose that narrative evidence effectively promotes a sense of personal risk because it is less affected by defensive message processing resulting from the threat to important self-beliefs that seems inherent in health risk communication.
A Glider for Every Graph: Exploring the Algorithmic Requirements for Rotationally Invariant, Straight-Line Motion

The primary goal of digital physics research is to provide a description of the physical universe in terms of simple programs. One approach to attaining this goal is creating a toolbox of algorithms that reproduce the behavior of basic quantum phenomena. As a step in this direction, a simple pseudo-particle algorithm has been developed that exhibits rotationally invariant, glider-like motion across graphs in two or more dimensions. This algorithm is applied to a range of lattice and irregular graphs from the sparse to the densely connected, and it is shown that rotationally invariant motion can be easily obtained from irregular graphs that are sufficiently densely connected. Such graphs are also shown to be potentially compatible with spatial curvature and relativistic invariance. This work points the way toward a class of algorithms that can be used to tightly approximate the basic phenomena encountered in particle physics, while maintaining the desired properties of discreteness, determinism, and algorithmic simplicity.
Prospective Study of Obstructive Sleep Apnea and Incident Coronary Heart Disease and Heart Failure: The Sleep Heart Health Study

Background— Clinic-based observational studies in men have reported that obstructive sleep apnea is associated with an increased incidence of coronary heart disease. The objective of this study was to assess the relation of obstructive sleep apnea to incident coronary heart disease and heart failure in a general community sample of adult men and women. Methods and Results— A total of 1927 men and 2495 women ≥40 years of age and free of coronary heart disease and heart failure at the time of baseline polysomnography were followed up for a median of 8.7 years in this prospective longitudinal epidemiological study. After adjustment for multiple risk factors, obstructive sleep apnea was a significant predictor of incident coronary heart disease (myocardial infarction, revascularization procedure, or coronary heart disease death) only in men ≤70 years of age (adjusted hazard ratio 1.10 [95% confidence interval 1.00 to 1.21] per 10-unit increase in apnea-hypopnea index [AHI]) but not in older men or in women of any age. Among men 40 to 70 years old, those with AHI ≥30 were 68% more likely to develop coronary heart disease than those with AHI <5. Obstructive sleep apnea predicted incident heart failure in men but not in women (adjusted hazard ratio 1.13 [95% confidence interval 1.02 to 1.26] per 10-unit increase in AHI). Men with AHI ≥30 were 58% more likely to develop heart failure than those with AHI <5. Conclusions— Obstructive sleep apnea is associated with an increased risk of incident heart failure in community-dwelling middle-aged and older men; its association with incident coronary heart disease in this sample is equivocal.
Bloodstream Infections among HIV-Infected Outpatients, Southeast Asia

Bloodstream infections (BSIs) are a major cause of illness in HIV-infected persons. To evaluate prevalence of and risk factors for BSIs in 2,009 HIV-infected outpatients in Cambodia, Thailand, and Vietnam, we performed a single Myco/F Lytic blood culture. Fifty-eight (2.9%) had a clinically significant BSI (i.e., a blood culture positive for an organism known to be a pathogen). Mycobacterium tuberculosis accounted for 31 (54%) of all BSIs, followed by fungi (13 [22%]) and bacteria (9 [16%]). Of patients for whom data were recorded about antiretroviral therapy, 0 of 119 who had received antiretroviral therapy for ≥14 days had a BSI, compared with 3% of 1,801 patients who had not. In multivariate analysis, factors consistently associated with BSI were fever, low CD4+ T-lymphocyte count, abnormalities on chest radiograph, and signs or symptoms of abdominal illness. For HIV-infected outpatients with these risk factors, clinicians should place their highest priority on diagnosing tuberculosis.
BioSigBrowser, biosignal processing interface

This paper presents a user-friendly interface in Matlab®, called BioSigBrowser, that aims to facilitate the use of algorithms in biomedical signal processing. It includes methods related with cardiovascular signal processing, namely some multimodal analysis. This platform can treat a single signal or work in a batch mode on a given database as is usual in research. Furthermore, its modular characteristic allows easy incorporation of new methods.
Gender Diversity in the Boardroom 1

Although some argue that tokenism drives the selection of female directors, we show that they have a significant impact on board effectiveness. Amongst others, we find in a large panel of data on publicly-traded firms from 1996-2003 that (1) the likelihood a female director is named in a proxy as having attendance problems is 0.29 lower than for a male director, (2) male directors have fewer attendance problems the greater the fraction of female directors on the board, and (3) firms with more diverse boards provide their directors with more pay-performance incentives. We instrument for gender diversity using the fraction of male directors connected to female directors through other board seats. In IV regressions, we find that the average effect of gender diversity on Tobin’s Q and ROA is negative. However, this negative effect is driven by companies with good corporate governance. In weak corporate governance firms, gender diversity has positive effects. Our results suggest that diverse boards are tougher monitors. Nevertheless, mandating gender quotas in the boardroom may not increase board effectiveness on average, but may reduce it for well-governed firms where additional monitoring is counterproductive.