Miracle-dz/UniFAR-FTUs huggingface dataset:
Trajectories of recovery among homeless adults with mental illness who participated in a randomised controlled trial of Housing First: a longitudinal, narrative analysis

Objectives This study used longitudinal, narrative data to identify trajectories of recovery among homeless adults with mental illness alongside the factors that contribute to positive, negative, mixed or neutral trajectories over time. We expected that participants who received Housing First (HF) would describe more positive trajectories of recovery than those who were assigned to Treatment as Usual (TAU; no housing or support provided through the study). Design Narrative interview data were collected from participants at baseline and 18 months after random assignment to HF or TAU. Setting Participants were sampled from the community in Vancouver, British Columbia. Participants Fifty-four participants were randomly and purposively selected from the larger trial; 52 were interviewed at baseline and 43 were reinterviewed 18 months after randomisation. Method Semistructured interviews were conducted at both time points. For each participant, paired baseline and follow-up narratives were classified as positive, negative, mixed or neutral trajectories of recovery, and thematic analysis was used to identify the factors underlying different trajectories. Results Participants assigned to HF (n=28) were generally classified as positive or mixed trajectories; those assigned to TAU (n=15) were generally classified as neutral or negative trajectories. Positive trajectories were characterised by a range of benefits associated with good-quality, stable housing (eg, reduced substance use, greater social support), positive expressions of identity and the willingness to self-reflect. Negative, neutral and mixed trajectories were characterised by hopelessness (‘things will never get better’) related to continued hardship (eg, eviction, substance use problems), perceived failures and loss. Conclusions HF is associated with positive trajectories of recovery among homeless adults with mental illness. Those who did not receive housing or support continued to struggle across a wide range of life domains. Findings are discussed with implications for addressing services and broader social change in order to benefit this marginalised population.
INFLUENCE OF USE OF CONTROLLING, IT USAGE, LEARNING AND TRAINING ON SME PERFORMANCE

This article explores the interaction between SME performance and firm specific variables including control methods, effect of training, learning and IT usage. Data has been collected by means of a questionnaire survey administered among the selected SMEs. Analysis shows that the perceived use of controlling, IT usage and learning orientation influences SME performance and take a role in classifying firms between the above performing and below performing groups. Limited resources and autocratic decision making by the key persons attribute the less efficient control by SMEs. Updating the knowledge resources and use of modern tools of loading and scheduling are suggested to improve the SME performance. Use of IT and IS are to be encouraged to improve the controlling function.
Psychometric and Evidentiary Advances, Opportunities, and Challenges for Simulation-Based Assessment

This article characterizes the advances, opportunities, and challenges for psychometrics of simulation-based assessments through a lens that views assessment as evidentiary reasoning. Simulation-based tasks offer the prospect for student experiences that differ from traditional assessment. Such tasks may be used to support evidentiary arguments that differ considerably from those typical in assessment. These novel assessment arguments are richer or more nuanced than those commonly used in terms of the targeted inferences about students, the evidence that facilitates those inferences, and the tasks that allow for the collection of such evidence. Driving principles of assessment are reviewed, and their implications for specifying student, task, and evidence models for simulation-based assessments are described. Potential pitfalls in these and related aspects of the assessment development process are described. Strategies for solutions to some of the more imminent challenges to psychometrics for simulations are discussed.
Telling Silences: Unspeakable Trauma and the Unremarkable Practices of Everyday Life

This analysis focuses on epistemological and methodological issues that arise when working with exiled communities. In particular, we investigate the complex dynamics of ethnographic negotiation between ourselves as social anthropologists and a group of Persian women migrants in Australia. This diasporic group, who are predominantly Bahá’í, share not only a common historical identity, in which religious law was unfavorable to women, but also profound experiences of suffering and alienation following their exile from the Islamic Revolution. As with many ‘refugee narratives’, stories of suffering and trauma for Bahá’í are tightly bound up in ‘bodies of knowledge’, both in the performance of embodied memories of persecution and in the intimate knowledge that Islamic authorities collected about them and their families. In engaging with an ethnography of violence our dilemma was how to negotiate these powerful and emotively charged processes of elicitation without resorting to psychological, psychiatric or indeed anthropological understandings of ‘opening up’. The intertwined theoretical and methodological approach we take in this chapter allows us to examine the ways in which traumatic memories are enfolded and transformed into mundane and creative practices of ordinary life, thus diverting from understandings of memory and embodiment that rest on social constructivism. The chapter begins with an ethnographic encounter that points directly to the difficulties of attempting to elicit or construct narratives with migrant Iranian women. Ethnographic techniques of inquiry (such as recording family relationships, tracing movements and enquiring about practices of faith) alerted us to the fine lines between our research methodology and past experiences of threatening surveillance. Not willing to reproduce these disempowering and traumatic relations, and redirected by the women’s telling silences, we became attuned to an embodied style and modality of memory-making and to the specific, gendered situations in which trauma is remembered, forgotten and reremembered. We began to understand how trauma was individually and collectively embodied and performed in the unremarkable practices of everyday lives, through ordinary, domestic and creative practices. Examining the embod-
Protecting the Privacy of Patient Information in Clinical Networks: Regulatory Effectiveness Analysis

Patient privacy is one of the major issues in the development of modern clinical information system networks. Such networks will have to demonstrate an appropriate concern for privacy as a precondition of operation. Regulatory effectiveness analysis is a novel technique for measuring compliance with a technological regulatory system. By examining the public policies, legal structures, and technical tools involved in the regulatory system, it is possible to discover discontinuities that may result in noncompliance with the regulatory system.
To drop or not to drop: On the impact of handovers on TCP performance

This paper presents a comparison between two handover schemes: drop and forward. In the drop scheme, packets received by the base station after the host has disconnected are dropped, whereas in the forward scheme these packets are forwarded to the new base station. We analyze various TCP flavors and compare our findings to simulation results. Our results can be used to determine which handover scheme and which TCP flavor should be employed to minimize the negative effect of handovers on TCP performance.
Approaching Avoidance A Step Essential to the Understanding of Craving

Craving is only one component of the mental processes that influence drinking behavior. Alcohol-related cues (ARCs) can set in motion a dynamic competition between inclinations to approach drinking and inclinations to avoid drinking. Craving can thus be integrated into a comprehensive model of decisionmaking in which ambivalence or conflict is a key element. The relative strength of each component of the ARC reaction can fluctuate over time as well as in response to both subjective states and environmental circumstances. Simultaneously and independently evaluating these opposing responses puts clinicians in a better position to influence the relative weight that the patient assigns to the positive and negative outcomes of alcohol consumption.
The Saccharomyces cerevisiae PHM8 Gene Encodes a Soluble Magnesium-dependent Lysophosphatidic Acid Phosphatase*

Phosphate is the essential macronutrient required for the growth of all organisms. In Saccharomyces cerevisiae, phosphatases are up-regulated, and the level of lysophosphatidic acid (LPA) is drastically decreased under phosphate-starved conditions. The reduction in the LPA level is attributed to PHM8, a gene of unknown function. phm8Δ yeast showed a decreased LPA-hydrolyzing activity under phosphate-limiting conditions. Overexpression of PHM8 in yeast resulted in an increase in the LPA phosphatase activity in vivo. In vitro assays of the purified recombinant Phm8p revealed magnesium-dependent LPA phosphatase activity, with maximal activity at pH 6.5. The purified Phm8p did not hydrolyze any lipid phosphates other than LPA. In silico analysis suggest that Phm8p is a soluble protein with no transmembrane domain. Site-directed mutational studies revealed that aspartate residues in a DXDXT motif are important for the catalysis. These findings indicated that LPA plays a direct role in phosphate starvation. This is the first report of the identification and characterization of magnesium-dependent soluble LPA phosphatase.
Functionalization of ethylene vinyl acetate with antimicrobial chlorhexidine hexametaphosphate nanoparticles

Ethylene vinyl acetate (EVA) is in widespread use as a polymeric biomaterial with diverse applications such as intravitreal devices, catheters, artificial organs, and mouthguards. Many biomaterials are inherently prone to bacterial colonization, as the human body is host to a vast array of microbes. This can lead to infection at the biomaterial’s site of implantation or application. In this study, EVA was coated with chlorhexidine (CHX) hexametaphosphate (HMP) nanoparticles (NPs) precipitated using two different reagent concentrations: CHX-HMP-5 (5 mM CHX and HMP) and CHX-HMP-0.5 (0.5 mM CHX and HMP). Data gathered using dynamic light scattering, transmission electron microscopy, and atomic force microscopy indicated that the NPs were polydisperse, ~40–80 nm in diameter, and aggregated in solution to form clusters of ~140–200 nm and some much larger aggregates of 4–5 μM. CHX-HMP-5 formed large deposits on the polymer surface discernible using scanning electron microscopy, whereas CHX-HMP-0.5 did not. Soluble CHX was released by CHX-HMP-5 NP-coated surfaces over the experimental period of 56 days. CHX-HMP-5 NPs prevented growth of methicillin-resistant Staphylococcus aureus when applied to the polymer surfaces, and also inhibited or prevented growth of Pseudomonas aeruginosa with greater efficacy when the NP suspension was not rinsed from the polymer surface, providing a greater NP coverage. This approach may provide a useful means to treat medical devices fabricated from EVA to render them resistant to colonization by pathogenic microorganisms.
Compressed sensing and r-algorithms

This paper concerns the author's research in progress. It is not a paper of a completed work. We have a principal example, nuclear norm optimization problem, which is described intuitively and formally. We believe that the proper formulation (and implementation) of r-algorithm based solution of the problem will have general applications and we are still seeking that formulation (and implementation). It lies somewhere in the neighborhood of a matrix extension of r-algorithms. In the framework we consider approaches and problems of compressed sensing, review new results in the field and investigate applications of r-algorithms and their modifications to solution of the problem recovering the data matrix from a sampling of its elements.
The spin menu: a menu system for virtual environments

In this paper we propose an extension of the well-known circular menu paradigm, in virtual environments. We propose a menu where items are arranged on a portion of a circle and controlled by rotating the wrist in the horizontal plane. Experience shows that this manipulation is easy to carry out even for novice users, and precision is high thanks to an innovative filtering technique we called the "reduced hotspot". The limitation of the number of items in the menu is solved using hierarchy and an adequate layout is proposed, the "stacked rings". All hypothesis are validated by user tests.
Political organizations’ use of websites and Facebook

The Internet offers internal and external communication opportunities to political organizations but also adds new costs and social pressure to use it in an appropriate way. This study examines whether and which political and organizational context factors explain the usage of online media by political organizations. We content-analyzed the websites and Facebook pages of 116 German-based political organizations in the policy sectors environment and health and distinguished between different aspects of “usage”; we investigated whether an organization was present on the World Wide Web and Facebook and then scrutinized the actual level of activity on both platforms—the overall activity and the activity in different communication dimensions. By drawing this distinction, the current study sheds light on relationships that have thus far not been the focus of political organizational Internet research. While there are no clear-cut differences regarding the overall activity, there are differences in terms of linking and mobilization behavior.
Cosmological parameters from a re-analysis of the WMAP 7 year low-resolution maps

Cosmological parameters from WMAP 7 year data are re-analyzed by substituting a pixel-based likelihood estimator to the one delivered publicly by the WMAP team. Our pixel based estimator handles exactly intensity and polarization in a joint manner, allowing to use low-resolution maps and noise covariance matrices in $T,Q,U$ at the same resolution, which in this work is 3.6$^\circ$. We describe the features and the performances of the code implementing our pixel-based likelihood estimator. We perform a battery of tests on the application of our pixel based likelihood routine to WMAP publicly available low resolution foreground cleaned products, in combination with the WMAP high-$\ell$ likelihood, reporting the differences on cosmological parameters evaluated by the full WMAP likelihood public package. The differences are not only due to the treatment of polarization, but also to the marginalization over monopole and dipole uncertainties implemented in the WMAP 7 year pixel likelihood code for temperature. The credible central value for the cosmological parameters change below the 1 $\sigma$ level with respect to the evaluation by the full WMAP 7 year likelihood code, with the largest difference in a shift to smaller values of the scalar spectral index $n_S$.
Language and Social Dynamics

Abstract : Some of the smallest words that people use in everyday life can reveal basic social and psychological processes. A series of studies were conducted to explore how basic group processes could be revealed by people's use of pronouns, articles, prepositions, and other function words. Through the analysis of transcripts of live and virtual working groups, informal groups, close relationships, and emails, it was possible to identify the relative status of group members as well as identify effective communication patterns. In addition, the computerized text methods were developed in ways that can capture near-real-time social processes in English and other languages. Implications of the findings include the ability to characterize group dynamics by the mere measurement of the words used in groups - a form of remote sensing. In addition, the studies point to ways of automatically shaping group dynamics in education or training so that they work more effectively. Finally, the current research provides a methodology to track real world group processes as they occur.
Temporal Bone Histopathological and Quantitative Analysis of Mitochondrial DNA in MELAS

Objectives/Hypothesis Although hearing loss is common in MELAS (syndrome of mitochondrial encephalopathy, lactic acidosis and stroke‐like episodes), the histopathology of the temporal bone has not been reported. The majority of cases of MELAS are linked to a mitochondrial DNA (mtDNA) mutation at nucleotide 3243. In MELAS, normal mtDNA and mutant mtDNA coexist in a heteroplasmic manner. The purpose of the study was to report the otopathological findings from two patients with MELAS and quantitative mtDNA analysis in the inner ear of one of these patients.
Detect GGO Nodule Based on Dot Filter

Aiming at solving the problem that the dot-filter can not detect ground-glass-opacity nodules, a method based on an adaptive nonlinear filter and dot filter was used to detect them. Experiments were performed at 23 scans of CT images (containing 32 GGO nodule). The sensitivity of the detection method was 84.4%. The time cost was 1.2 minutes per scan. This new method is superior to existing methods on the required time and sensitivity.
A clustered search algorithm incorporating arbitrary term dependencies

The documents in a database are organized into clusters, where each cluster contains similar documents and a representative of these documents. A user query is compared with all the representatives of the clusters, and on the basis of such comparisons, those clusters having many close neighbors with respect to the query are selected for searching. This paper presents an estimation of the number of close neighbors in a cluster in relation to the given query. The estimation takes into consideration the dependencies between terms. It is demonstrated by experiments that the estimate is accurate and the time to generate the estimate is small.
Spitzer Quasar and ULIRG Evolution Study (QUEST). II. The Spectral Energy Distributions of Palomar-Green Quasars

This is the second paper studying the QSOs in the Spitzer QUEST sample. Previously we presented new PAH measurements and argued that most of the observed far-infrared (FIR) radiation is due to star-forming activity. Here we present spectral energy distributions (SEDs) by supplementing our data with optical, NIR, and FIR observations. We define two subgroups, of "weak FIR" and "strong FIR" QSOs, and a third group of FIR nondetections. Assuming a starburst origin for the FIR, we obtain "intrinsic" active galactic nucleus (AGN) SEDs by subtracting a starburst template from the mean SEDs. The resulting SEDs are remarkably similar for all groups. They show three distinct peaks corresponding to two silicate emission features and a 3 μm bump, which we interpret as the signature of the hottest AGN dust. They also display drops beyond ~20 μm that we interpret as the signature of the minimum temperature (~200 K) dust. This component must be optically thin to explain the silicate emission and the slope of the long-wavelength continuum. We discuss the merits of an alternative model in which most of the FIR emission is due to AGN heating. Such models are unlikely to explain the properties of our QSOs, but they cannot be ruled out for more luminous objects. We also find correlations between the luminosity at 5100 Å and two infrared starburst indicators: L(60 μm) and L(PAH 7.7 μm). The correlation of L(5100 Å) with L(60 μm) can be used to measure the relative growth rates and lifetimes of the black hole and the new stars.
Finite Element Methods for Variational Integrators with Applications to Nonlinear Schrodinger Equation

In this paper we introduce a new method of spatio-temporal discretization for partial dierential equations in variational form. This method generalizes the method of Marsden et al in that it uses a systematic approach to discrete jet spaces based on the finite element method. The resulting method is used to derive integrators for the
Positive affect measured using ecological momentary assessment and survival in older men and women

Links between positive affect (PA) and health have predominantly been investigated by using measures of recollected emotional states. Ecological momentary assessment is regarded as a more precise measure of experienced well-being. We analyzed data from the English Longitudinal Study of Aging, a representative cohort of older men and women living in England. PA was assessed by aggregating momentary assessments over a single day in 3,853 individuals aged 52 to 79 y who were followed up for an average of 5 y. Respondents in the lowest third of PA had a death rate of 7.3%, compared with 4.6% in the medium-PA group and 3.6% in the high-PA group. Cox proportional-hazards regression showed a hazard ratio of 0.498 (95% confidence interval, 0.345–0.721) in the high-PA compared with the low-PA group, adjusted for age and sex. This was attenuated to 0.646 (95% confidence interval, 0.436–0.958) after controlling for demographic factors, negative affect, depressed mood, health indicators, and health behaviors. Negative affect and depressed mood were not related to survival after adjustment for covariates. These findings indicate that experienced PA, even over a single day, has a graded relationship with survival that is not caused by baseline health status or other covariates. Momentary PA may be causally related to survival, or may be a marker of underlying biological, behavioral, or temperamental factors, although reverse causality cannot be conclusively ruled out. The results endorse the value of assessing experienced affect, and the importance of evaluating interventions that promote happiness in older populations.
Eukaryotic Translation Initiation Factor 4E-Dependent Translation Is Not Essential for Survival of Starved Yeast Cells

ABSTRACT The eukaryotic translation initiation factor 4E (eIF4E) interacts with the mRNA 5′ cap structure (m7GpppX) and is essential for the appropriate translation of the vast majority of eukaryotic mRNAs. Most studies of the yeastSaccharomyces cerevisiae CDC33 gene product, eIF4E, have been carried out with logarithmically growing cells, and little is known about its role in starved, nonproliferating cells that enter the stationary phase (SP). It has previously been found that the rate of translation in SP cells is more than 2 orders of magnitude lower than it is in dividing yeast cells. Here we show that this low rate of translation is essential for maintaining the viability of starved yeast cells that enter SP. Specifically, starved cells whose eIF4A is inactive or treated with cycloheximide rapidly lose viability. Moreover, after heat inactivation of the cdc33temperature-sensitive product, the synthesis of most proteins is abolished and only a small group of proteins is still produced. Unexpectedly, starved cdc33 mutant cells whose eIF4E is inactive and which therefore fail to synthesize the bulk of their proteins remain viable for long periods of time, indistinguishable from their isogenic wild-type counterparts. Taken together, our results indicate that eIF4E-independent translation is necessary and sufficient for survival of yeast cells during long periods of starvation.