Miracle-dz/UniFAR-FTUs huggingface dataset:
Northern Housing Networks: Building Collaborative Efforts to Address Housing and Homelessness in Remote Canadian Aboriginal Communities in the Context of Rapid Economic Change

Canada's northern and remote regions experience unique challenges related to housing and homelessness. As such, there is a need to understand and develop strategies to address housing-related concerns in the North. The diversity of communities across the North demands the tailoring of specific, local-level responses to meet diverse needs. Over the past decade local networks have emerged as a powerful method for governance and development of localized responses to addressing homelessness across Canada and North America. Despite this, there is a paucity of research examining challenges and effective approaches utilized by these local networks or their potential applicability for building housing security in rural, remote, and northern communities. This research examined the experiences of a Northern Canadian housing and homelessness network. The experience of this network points to strategies that can lead to successful collaborative approaches aimed at implementing programs to address homelessness in northern and remote communities. Keywords: homelessness, collaboration, network, remote, Aboriginal ------------------------------------------------------ Le nord du Canada et les regions eloignees font face a des defis particuliers en termes de logement et d'itinerance. Ainsi, Il est necessaire de comprendre et de developper des strategies pour resoudre les problemes souleves par le logement dans le Nord. La diversite des communautes a travers le Nord demande un ajustement a des besoins specifiques, locaux et a differents niveaux, afin de repondre aux attentes variees. Au cours des dix dernieres annees, les reseaux locaux sont apparus comme des methodes de gouvernance et de developpement de reponses localisees en matiere d'itinerance a travers le Canada et en Amerique du Nord. Malgre cela, il y a un manque de recherche examinant les defis et les approches efficaces utilisees par ces reseaux locaux ou leur applicabilite potentielle pour construire des logements securitaires dans des communautes rurales, eloignees ou du Nord. Cette recherche examine les experiences d'un reseau de logement et d'itinerance canadien du Nord. L'experience de ce reseau met en valeur les strategies qui peuvent mener a des approches collaboratives reussies menant a l'implantation de programmes a l'attention des itinerants dans le nord et les communautes eloignees.
Improving tightly-coupled model for indoor pedestrian navigation using foot-mounted IMU and UWB measurements

Nowadays, the indoor pedestrian navigation has become a research hotspot. How to improve the position tracking accuracy is one of the most important key issues of this topic. In this work, we present an improving tightly-coupled navigation model for indoor pedestrian navigation. In the proposed model, a channel filter is used for the estimation of the distance between the reference node (RN) and blind node (BN) measured by the UWB, and then, a 15-element error state vector is used in the filter for fusing foot-mounted IMU and UWB measurements. The real test results show that the proposed model is effective to reduce the error compared with the conventional model, its mean position error has reduced by about 14.81% compared with the UWB only model.
Intensive Physical and Psychosocial Training Program for Patients with Chronic Low Back Pain; A Controlled Clinical Trial

Study Design The authors conducted a controlled clinical trial with 1-year follow-up to define the effectiveness of an intensive physical and psychosocial training program on patients with low back pain. Summary of Background Data The intervention group included 152 patients (mean age 40.5 yr, Million index 45.1/100), and the reference group included 141 patients (mean age 40.4 yr, Million index 44.5/100). Methods The progressive intervention program consisted of intensive physical training and psychosocial activation. The outcomes were physical and psychosocial measures, the pain and disability index (Million), sick leaves, and occupational handicap. Results The intervention was more efficient with respect to physical measures and pain and disability index. There were only mild or no differences in changes between the study groups in psychology variables, sick leaves, or retirement. Conclusions The intervention program could improve physical disability, but to improve occupational handicap, activities of the whole society (social legislation, labor market policy) are needed.
Current practice in nutritional support and its association with mortality in septic patients—Results from a national, prospective, multicenter study*

Objective:To identify current clinical practice regarding nutrition and its association with morbidity and mortality in patients with severe sepsis or septic shock in Germany. Design:Nationwide prospective, observational, cross-sectional, 1-day point-prevalence study. Setting:The study included 454 intensive care units from a representative sample of 310 hospitals stratified by size. Patients:Participants were 415 patients with severe sepsis or septic shock (according to criteria of the American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference). Interventions:None. Measurements and Main Results:Data were collected by on-site audits of trained external study physicians during randomly scheduled visits during 1 yr. Valid data on nutrition were available for 399 of 415 patients. The data showed that 20.1% of patients received exclusively enteral nutrition, 35.1% exclusively parenteral nutrition, and 34.6% mixed nutrition (parenteral and enteral); 10.3% were not fed at all. Patients with gastrointestinal/intra-abdominal infection, pancreatitis or neoplasm of the gastrointestinal tract, mechanical ventilation, or septic shock were less likely to receive exclusively enteral nutrition. Median Acute Physiology and Chronic Health Evaluation II and Sepsis-related Organ Failure Assessment scores were significantly different among the nutrition groups. Overall hospital mortality was 55.2%. Hospital mortality was significantly higher in patients receiving exclusively parenteral (62.3%) or mixed nutrition (57.1%) than in patients with exclusively enteral nutrition (38.9%) (p = .005). After adjustment for patient morbidity (Acute Physiology and Chronic Health Evaluation II score, presence of septic shock) and treatment factors (mechanical ventilation), multivariate analysis revealed that the presence of parenteral nutrition was significantly predictive of mortality (odds ratio, 2.09; 95% confidence interval, 1.29–3.37). Conclusions:Patients with severe sepsis or septic shock in German intensive care units received preferentially parenteral or mixed nutrition. The use of parenteral nutrition was associated with an increased risk of death.
Focus on “Cognition” in Cognitive Behavior Therapy for OCD: Is it Really Necessary?

The past decade has witnessed a significant shift toward a more cognitive emphasis in our understanding and treatment of obsessive‐compulsive disorders (OCD). This article discusses the shortcomings in more standard behavioral treatment of OCD, which despite its demonstrated efficacy, led to the recent cognitive‐behavioral approaches to the disorder. Current cognitive behavior therapy for OCD is described and a short critical review of the comparative treatment outcome literature on cognitive behavior therapy vs exposure and response prevention is provided. The article concludes that although the clinical utility of a more cognitive approach to OCD has not been consistently demonstrated, it would be premature to abandon cognitive formulations until some key research questions have been addressed.
A Transition from Complex R&D Collaborations to Optimized R&D Coalitions: The Strategic Projects Paradigm

This research contribution has been drafted to present the transitional paradigm shift from the complex R&D collaborations towards optimized articulated R&D research and development environment. This research has highlighted various forms of complexities and complexity traits, involved in the university industry R&D collaborations, specifically for strategic and mega projects. Authors have conducted the survey based research among the researchers from university and industry of China, involved in the deliberated projects of aerospace, mechanical, materials, electronics and communication industry. This research has analyzed the impacts of various complexity attributes, namely the technical, behavioral, social, integration, product, methodological and organizational complexity on R&D collaborations for strategic projects. Results indicate that technological, social, behavioral, organizational and product complexities have significant cocksure effect to enhance collaboration complexity respectively. Nevertheless, according to the analysis of empirical results of collected data from Chinese's R&D professionals, integration and methodological complexities have not significant effect on R&D collaborations. The Authors have coined and analyzed an optimum R&D environment to cope with R&D collaboration complexities. Optimal R&D environment has been characterized with complexity reticent, knowledge piracy attitude, two-way communication environs, involvement of governing bodies, the timely technical support, appropriate decision making and the execution of planned schedules by the collaborating vertices of R&D strategic projects. It has been analyzed that optimal R&D environment facilitates R&D collaborations, where all complexity traits regarding R&D projects are considered seriously at every phase of joint R&D project execution. The statistical data analysis of 139 samples of the survey supports the hypothesis and dictates the way to an optimal research and development environment for the strategic projects.
A Neural Network MLSE Receiver Based on Natural Gradient Descent: Application to Satellite Communications

The paper proposes a maximum likelihood sequence estimator (MLSE) receiver for satellite communications. The satellite channel model is composed of a nonlinear traveling wave tube (TWT) amplifier followed by a multipath propagation channel. The receiver is composed of a neural network channel estimator (NNCE) and a Viterbi detector. The natural gradient (NG) descent is used for training. Computer simulations show that the performance of our receiver is close to the ideal MLSE receiver in which the channel is perfectly known.
Is Post-Event Processing a Social Anxiety Specific or Transdiagnostic Cognitive Process in the Anxiety Spectrum?

Background: Research on post-event processing (PEP), where individuals conduct a post-mortem evaluation of a social situation, has focused primarily on its relationship with social anxiety. Aims: The current study examined: 1) levels of PEP for a standardized event in different anxiety disorders; 2) the relationship between peak anxiety levels during this event and subsequent PEP; and 3) the relationship between PEP and disorder-specific symptom severity. Method: Participants with primary DSM-IV diagnoses of social anxiety disorder (SAD), obsessive compulsive disorder (OCD), panic disorder with/without agoraphobia (PD/A), or generalized anxiety disorder (GAD) completed diagnosis specific symptom measures before attending group cognitive behavioural therapy (CBT) specific to their diagnosis. Participants rated their peak anxiety level during the first group therapy session, and one week later rated PEP in the context of CBT. Results: The results indicated that all anxiety disorder groups showed heightened and equivalent PEP ratings. Peak state anxiety during the first CBT session predicted subsequent level of PEP, irrespective of diagnostic group. PEP ratings were found to be associated with disorder-specific symptom severity in SAD, GAD, and PD/A, but not in OCD. Conclusions: PEP may be a transdiagnostic process with relevance to a broad range of anxiety disorders, not just SAD.
Organizing Multi-Cross-Industry Innovation Initiatives: The Case of Connected Living

Nowadays, companies from various industries realize that their core business lies in converging technological fields. This development is confirmed by the example of interconnected products which are known as "smart" products. Popular instances are smartphones or smart TVs as well as a relatively new branch that is concerned with smart home solutions. As these smart home solutions are typically developed in unique cross-industry innovation networks, which have hardly been explored so far, we derive the following research question: What type of organizational framework supports collaboration in a cross-industry network environment, and what practices are important for collaboration success? Based on this question, we develop an in-depth case study of Connected Living, a highly active German multi-cross-industry innovation network set up as a non-profit organization of more than 50 participating companies. Our paper is structured as follows: first, we describe the organizational model of Connected Living and the development of the network since its foundation in 2008, before showing which key practices are important for collaboration success in this kind of network setting. Our findings highlight the network's heterogeneous composition which involves the integration of existing members' competitors and companies from distant industries, the management's awareness of a workshop fit, the linkage between publicly funded research projects and the emergence of multi-cross-industry Innovation initiatives and the proactive public relations activities as being crucial for collaboration success.
Disrupting the clustering of GABAA receptor α2 subunits in the frontal cortex leads to reduced γ-power and cognitive deficits

Significance Schizophrenia is a condition characterized by interrelated symptoms including psychosis and hallucinations, decreased emotional expression and motivation, and cognitive impairments. Recent studies have shown that γ-aminobutyric acid (GABA), the principal inhibitory neurotransmitter in the brain, contributes to the cognitive symptoms of schizophrenia. However, the details of this alteration are not understood. GABA signaling can exert powerful control on groups of neurons, acting as regulated on–off switches for brain activity. In the brains of patients with schizophrenia, an alteration in the typical on–off patterns is observed. We generated an animal model for symptoms of schizophrenia by altering the accumulation of specific types of GABA receptors. These animals show both behavioral and brain activity changes that are reminiscent of patients with schizophrenia. In schizophrenia, cognitive dysfunction is highly predictive of poor patient outcomes and is not responsive to current medications. Postmortem studies have suggested that cognitive deficits in schizophrenia are correlated with modifications in the number and size of inhibitory synapses. To test if these modifications lead to cognitive deficits, we have created a dominant-negative virus [adeno-associated (AAV)-DN1] that disrupts the clustering of γ-aminobutyric acid type A receptors (GABAARs) at postsynaptic inhibitory specializations. When injected into the frontal cortex of mice, AAV-DN1 impairs GABAAR α2 subunit and GABA transporter 1 (GAT-1) clustering, but increases GABAAR α1 subunit clustering on the perisomatic region, with no influence on axon-initial segment clustering. Mice expressing AAV-DN1 have prepulse inhibition deficits and impairments in working memory. Significantly, these behavioral deficits are paralleled by a reduction in electroencephalography γ-power. Collectively, our study provides functional evidence revealing that GABAergic synapses in the prefrontal cortex directly contribute to cognition and γ-power.
Feature selection for physical activity recognition using genetic algorithms

Physical activity is widely known to be a key factor towards achieving a healthy life and reducing the chance of developing certain diseases. However, there are many different physical activities having different effort requirements or having different benefits on health. The reason why automatic recognition of physical activity is useful is twofold: first, it raises personal awareness about the physical activity a user is carrying out and its impact on health, allowing some apps to give proper credit for it; second, it allows medical staff to monitor the activity levels of patients. In this paper, we follow a proven activity recognition chain to learn a classifier for physical activity recognition, which is trained using data from PAMAP2, a dataset publicly available in UCI ML repository. Once a machine learning dataset is created after signal preprocessing, segmentation and feature extraction, we will explore and compare different feature selection techniques using genetic algorithms in order to maximize the accuracy and reduce the number of dimensions. This reduction improves classification times and reduces costs and energy consumption of sensor devices. By doing so, we have reduced dimensions to almost a half and we have outperformed the best results found so far in literature with an average accuracy of 97.45%.
Pulmonary arterial hypertension

Pulmonary arterial hypertension (PAH) is a chronic and progressive disease leading to right heart failure and ultimately death if untreated. The first classification of PH was proposed in 1973. In 2008, the fourth World Symposium on PH held in Dana Point (California, USA) revised previous classifications. Currently, PH is devided into five subgroups. Group 1 includes patients suffering from idiopathic or familial PAH with or without germline mutations. Patients with a diagnosis of PAH should systematically been screened regarding to underlying mutations of BMPR2 gene (bone morphogenetic protein receptor type 2) or more rarely of ACVRL1 (activine receptor-like kinase type 1), ENG (endogline) or Smad8 genes. Pulmonary veno occusive disease and pulmonary capillary hemagiomatosis are individualized and designated as clinical group 1'. Group 2 'Pulmonary hypertension due to left heart diseases' is divided into three sub-groups: systolic dysfonction, diastolic dysfonction and valvular dysfonction. Group 3 'Pulmonary hypertension due to respiratory diseases' includes a heterogenous subgroup of respiratory diseases like PH due to pulmonary fibrosis, COPD, lung emphysema or interstitial lung disease for exemple. Group 4 includes chronic thromboembolic pulmonary hypertension without any distinction of proximal or distal forms. Group 5 regroup PH patients with unclear multifactorial mechanisms. Invasive hemodynamic assessment with right heart catheterization is requested to confirm the definite diagnosis of PH showing a resting mean pulmonary artery pressure (mPAP) of ≥ 25 mmHg and a normal pulmonary capillary
The European Union and transnational health policy networks: a case study of interaction with the Global Fund

This article examines the nature of the engagement between the European Union and the Global Fund created to combat HIV/AIDS, tuberculosis and malaria. The authors reveal that in relations between the EU and the Fund, influence is reciprocal although asymmetrical with the EU commanding more leverage. They also contend that the EU considers its engagement with the Global Fund as successful to the extent that the success of this interaction is contingent on the Global Fund's capacity for implementation. They conclude that the relationship between the EU and the Fund will continue for the foreseeable future.
The Use of Food Nutrition Facts Panel Information and Juice Consumption

The Nutrition Labeling and Education Act of 1990 requires that the FDA develop standardized Nutrition Facts Panel (NFP) labels for most packaged food products sold in the United States. The National Health and Nutrition Examination Survey (NHANES) reported more people were using the NFP. Per capita consumption of juices in the United States has decreased steadily, from 8.88 gallons in 2000 to 7.21 gallons in 2010. The purpose of this study is to examine the relationship between the use of the NFP and the consumption of juices in the US using cross-section data provided by the NHANES. We used data from three waves of NHANES: 2005–2006, 2007-08, and 2009-10. Because not all respondents consumed juice during the survey periods, a Tobit model was used in the analysis. Results show that using the NFP label has a negative impact on juice consumption and that there is a negative time trend in juice consumption. These results indicate that the juice industry needs to find a way to combat the negative impact of the NFP label on juice consumption, and to find out what is causing the negative time trend in juice consumption.
Dynamic stochastic general equilibrium (DSGE) modelling

In recent years DSGE (dynamic stochastic general equilibrium) models have come to play an increasing role in central banks, as an aid in the formulation of monetary policy (and increasingly after the global crisis, for maintaining financial stability). DSGE models, compared to other widely prevalent econometric models (such as VAR, or large-scale econometric models) are less a theoretic and with secure micro-foundations based on the optimizing behavior of rational economic agents. Apart from being "structural", the models bring out the key role of expectations and (being of a general equilibrium nature) can help the policy maker by explicitly projecting the macro - economic scenarios in response to various contemplated policy outcomes. Additionally the models in spite of being strongly tied to theory, can be "taken to the data" in a meaningful way. A major feature of these models is that their theoretical underpinnings lie in what has now come to be called as the New Consensus Macro -economics (NCM). Using the prototype real business cycle model as an illustration, this paper brings out the econometric structure underpinning such models. Estimation and inferential issues are discussed at length with a special emphasis on the role of Bayesian maximum likelihood methods. A detailed analytical critique is also presented together with some promising leads for future research.
Leukophages in Canine Semen

Spermiophages and leukophages were found in teratozoospermic canine semen. Spermiophagy was the role of neutrophilic granulocytes. Leukophages are believed to be oversize macrophages transformed by and released from a chronic inflammatory lesion in the pelvic urethra or the prostate. The term leukophages was adopted to indicate that the cells phagocytize leukocytes, specifically neutrophilic granulocytes. Direct observations on living cells revealed a surprising interaction between these two cell types. It is inferred that neither of the phagocytic cells are related to the disturbed spermiogenesis nor the teratozoospermia.
Circuit prospects of DGFET: Variable gain differential amplifier an a schmitt trigger with adjustable hysteresis

Double Gate(DG)FET is one of the most promising technologies for sub-50 nm transistor design. Various attempts have been made to exploit this newly emerging technology in electronic circuits [1, 2]. Threshold voltage of a double gate MOSFET can be varied by varying the bias on the back gate [1]. In this paper we propose a variable gain differential amplifier with current mirror load utilizing this property. Also it is shown that the saturation voltage of the differential amplifier varies with the varying back gate bias of the DGFETs. The variable gain differential amplifier has been used to propose a variable hysteresis voltage schmitt trigger, the hysteresis voltage of which can be varied without the help of external circuitry and only by varying backgate bias of the DGFETs. The nature of variation of hysteresis voltage with varying backgate bias of the transistors is also investigated.