Miracle-dz/UniFAR-FTUs huggingface dataset:
Community‐based Naloxone: A Canadian Pilot Program

Objectives: This study was designed to gather data on the implementation of community‐based naloxone delivery for opioid overdose in a Canadian setting. Participants: A convenience sample of 50 clients accessing a needle exchange program for harm reduction supplies. Setting: This program took place in an urban Canadian city and was based out of a needle exchange program. Intervention: After written, informed consent was obtained, all participants were trained in overdose recognition, artificial respiration, naloxone administration and emergency medical services (EMS) activation. Outcomes: Most participants were male (30, 60%) and the average age was 45.1 years (±8.6 years). The majority (40, 80%) used opioids either daily (36, 72%) or weekly (4, 8%). Most (39, 78%) had experienced an overdose themselves and the vast majority (46, 92%) had witnessed someone else overdose. over the 20‐month study period, naloxone use was reported nine times. It was most often administered in a private residence (4, 44%). It was administered to another individual in eight cases; one person self‐administered naloxone. Artificial respiration was provided in four cases, and a clean needle and syringe were used in all cases; EMS was activated in only one case. No adverse reactions and no deaths after naloxone use were reported. Conclusions: Community‐based naloxone programs can be implemented in a Canadian setting and have the potential to reduce the morbidity and mortality associated with opioid overdose. Significant barriers to activating EMS still exist in this setting.
Generative Learning of Dynamic Structures using Spanning Arborescence Sets

We are interested in the problem of generative learning of dynamic models from ”fat” time series data (high #variables/#individuals ratio), leading to a high sensitivity of learned models to the dataset noise. We propose in this purpose a method computing a mixture of many highly biased but optimal spanning arborescences obtained from many perturbed versions of the original dataset, introducing variance to counterbalance the strong arborescence bias. The method is at the boundary between structure oriented Bayesian model averaging and recent work on density estimation using mixtures of poly-trees in a perturb and combine framework, transposed to a dynamic setting. In practice, preliminary results on the recent DREAM 8 challenge are promising.
A study on transparency of a passive manipulation mechanism : application to Neoditech Scara Parts

In the field of 5 to 100 kg load transportation in workshops, many systems havingmore or less complex architectures have been developed to reduce musculo-skeletal disorders (hoists, pliers, dedicated systems). These systems offer different behaviors and human interaction is far from being the same for all of them. In recent years, the literature produced a lot of work around design thinking, user-centered approaches emphasizing notions around perception, cognition, and ergonomics to meet the needs of the end user. The development of cobotics and more generally systems allowing the interaction or co-manipulation of objects highlights the notion of transparency of the system. This transparency is expressed as the fact of feeling only a part of the physical magnitudes of the object most relevant to the user in his manipulation. In the context of this article, we study the transparency of a kinematically redundant passive mechanism based on a scara one (revolute joints parallel between them) when manipulating heavy objects on a plane. This article is based on a state of the art of different criteria in order to evaluate the behavior of a robot such as manipulability or dexterity. We will indicate the relevance of these criteria that we apply to a theoretical study. These theoretical aspects will then be evaluated on Neoditech Scara Parts arm. It is a mechanism capable of handling up to 50kg composed of a plane arm mounted on vertical linear axis itself mounted on a fixed or mobile base. This plane arm consists of 6 revolute joints having parallel axes ensuring redundancy in the architecture of the robot.
Non-Channelized Turbidite Deposit Porosity Identification In Brebes Central Java

Brebes Area, in Central Java (108° 47' 59.99" E 108° 55' 46.89" E and 7° 2' 9.59" S 7° 7' 54.72" S), have been known as an area with numerous oil and gas seepages. In contrary, the petroleum system study of this area is scanty and not fully understood. Turbidite deposit were found in this area. Four (4) stratigraphic sections were observed along the Rambatan and Ciseureuh River within 30 to 261 meters in thickness. Based from those sections, the Formations could be devided into 4 type lithofacies, that is: (1) Type 1: consists of Interbeded of thin-bed sandstone and siltstone Paralel lamination, wavy, lenticular and graded bedding are the most common sedimentary structure, although climbing ripple, low scale slump stratification and sandy injection, (2) Type 2: consists of fine grained sandstone and siltstone, sedimentary structures can be seen are convolute bed, wavy, and ripple, (3) Type 3: consists of interbedded siltstone and very fine-grained sandstone with lower laminae, small scale slump bedding, upper laminae, and muddy siltstone are mainly characteristic, and (4) Type 4: consists of interbedded shale and very fine grained sandstone graded bedding and wavy are the most common sedimentary structures with volcanic material at the base. The Depositional Environment interpretation is also been made in the area using Mutti and Normark (1987) classification, which shows that Type 1 deposited in Middle Fan, Type 2 deposited in outer fan and Type 3 and 4 were deposited in the Inner Fan. The porosity calculation using the Helium Porosimetry Technique shows 2 to 28% porosity; and 0.01 mD to 201 mD permeability value. The good porosity value 18.9 to 24.7% and permeability value 9.41 to 201 mD were found at Type 3. Based on those study, we could interpreted that the good porosity were found at the fine sandstone lithology.
Computation of the topology of a real curve

© Société mathématique de France, 1990, tous droits réservés. L’accès aux archives de la collection « Astérisque » (http://smf4.emath.fr/ Publications/Asterisque/) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright.
Data-Driven Mechanics

: This work revisits data-driven approches and addresses a new paradigm in engineering sciences, the one of hybrid approches, in which the data could enrich existing models, without neither the necessity nor the opportunity of replacing them, while models allows enriching models in order to transform the big-data paradigm into the smart data one, able to proceed very efﬁciently in the low-data limit.
EEG signal Analysis using Decomposed Wavelet Transform and Fuzzy Inference System

—The recognition of an abnormal activity of the brain functionality is a vital issue. To determine the type of the abnormal activity either a brain image or brain signal are usually considered. Imaging localizes the defect within the brain area and relates this area with some body functionalities. However, some functions may be disturbed without affecting the brain. In this case, imaging may not provide the symptoms of the problem. A cheaper yet efficient approach that can be utilized to detect abnormal activity is the measurement and analysis of the electroencephalogram (EEG) signals. The main goal of this work is to come up with a new method to facilitate the classification of the abnormal and disorder activities within the brain directly using wavelet transform and Fuzzy Inference System, which makes it possible to be applied in an on-line monitoring system. Wavelet depends on transforming the EEG signal into another domain to easily extract significant features that allow proper classification. Fuzzy rule based approach has been used in this paper with Wavelet to classify EEG signal as normal or abnormal. Through inference Engines and membership functions, the fuzzy terms abstracted from decomposed wavelet of EEG will be inferred to the corresponding fuzzy semantic presentations. Using real patient data, the proposed approached was tested. An experienced physician worked with our team evaluated the computer results and decided that the system doesn’t miss any case of the tested cases.
On-the-Fly Privacy for Location Histograms

An important motivation for research in location privacy has been to protect against user profiling, i.e., inferring a user’s political affiliation, wealth level, sexual preferences, religious beliefs, and other sensitive attributes. Existing approaches focus on distorting or suppressing individual locations, but we argue that, for directly protecting against profiling, it is more appropriate to focus on the frequency with which various locations are visited – in other words, the histogram of a user’s locations. We introduce and explore a new privacy notion, namely, on-the-fly privacy for location histograms, in which a mobile user repeatedly submits obfuscated locations to a Location-Based Service aiming for the resulting histogram to resemble a target profile or differ from it. For example, she may want to avoid looking wealthy or to resemble a health-conscious person. We describe how to design concrete privacy mechanisms that operate under different assumptions on, e.g., the user’s mobility, including provably optimal mechanisms. We use a mobility dataset with 1083 users to illustrate how these mechanisms achieve privacy while minimizing the quality loss caused by the location obfuscation, in the context of two types of Location-Based Services: nearest-PoI, and geofence.
ANALYSIS OF LARGE AMPLITUDE OSCILLATIONS OF SIMPLY SUPPORTED BEAMS THROUGH THE USE OF THE NONLINEAR NORMAL MODES (NNM) METHOD

Simply supported beams are usually classified into two groups, depending on whether longitudinal displacements are restrained or not. This work goes deeper into the fact that the nonlinear behavior of the beam is significantly different in these two cases: one in which axial motion is allowed at one end but restricted at the other; and another in which there is no restriction to axial displacements at both ends. The analytical treatment of the problem leads to a relation between nonlinear frequency and amplitude for the different modes of vibration of the beam. A well-known commercial finite element software is used to validate the results of the analytical models. Nonlinear normal mode (NNM) shapes may be represented as a combination of several linear ones. The results of this investigation show that the contribution of linear modes other than the first one to each nonlinear one is significant. Different simulations are conducted with the aim to provide recommendations for the need of including such modes. MEDYNA 2017 25-27 Apr 2017, Sevilla (Spain)
Manipulation of factors affecting phytate hydrolysis in enhancing phytase efficacy in poultry: A review

Phosphorus in phytate is largely unavailable to chickens unless they are provided with dietary phytase. Phytase was shown to increase phytate degradation in the crop and proventriculusgizzard and very little phytate degradation occurred in the duodenum-jejunum or ileum. These previous investigations were conducted on chickens fed corn based diet but not with wheat based diet. Increase in digesta passage or mean retention time (MRT) along the gastrointestinal tract could enhance phytase efficacy as the prolonged reaction time between substrates and phytase may further facilitate phytate dephosphorylation. Dietary fat and fibre supplementation have been shown to influence intestinal MRT in chickens therefore it is expected that inclusion of both dietary fat and fibre could be manipulated to further improve phytase efficacy in broiler chickens. This paper provides a brief review of in vitro phytate hydrolysis, phytate hydrolysis in the gastrointestinal tract of broilers and factors that affect phytate hydrolysis that can be manipulated to enhance the efficacy of phytase in poultry diets.
Pathways Model to Problem Gambling: Clinical Implications for Treatment and Prevention Among Adolescents

&NA; The Pathways Model is the most promising etiological model for Gambling Disorders (GD). It suggests that three distinct developmental pathways lead to the emergence of GD (Behaviorally Conditioned, Emotionally Vulnerable, and Biologically Vulnerable), each differentiated by a set of predisposing biopsychosocial characteristics. Empirical research has demonstrated the existence of these three subgroups of gamblers among adults and, more recently, among adolescents. Consequently, treatment for individuals with GD should address the underlying precursors to gambling, as early as possible, in order to effectively generate positive outcomes. However, adolescents with GD are less likely (compared to adults) to seek out treatment. It is therefore necessary to reach out to at‐risk individuals. In terms of prevention among youth, existing programs are not successful in reducing the incidence of gambling behavior and GD later in life. Therefore, a differential targeted prevention approach tailored to the gamblers’ specific profile in early adolescence is recommended to minimize the emergence of GD among adolescents and young adults. Some targeted prevention programs have already proven to be successful with regards to substance use and general delinquency, but nothing has yet been done in the gambling field. Le modèle des parcours multiples est le plus prometteur des modèles étiologiques pour les problèmes de jeux de hasard et d'argent (JHA). Il met de l'avant trois parcours développementaux (Conditionnés, Émotionnellement Vulnérables, Biologiquement Vulnérables), chacun défini par un ensemble de prédispositions biopsychosociales, menant à l’émergence de problèmes de JHA. Des données probantes démontrent l'existence de ces trois profils de joueurs chez les adultes et chez les adolescents. Par conséquent, les méthodes d'intervention auprès de personnes souffrant d'un trouble de JHA doivent adresser, le plus tôt possible, les précurseurs sous‐jacents au jeu afin d'obtenir de meilleurs résultats. Cependant, les adolescents avec un trouble de JHA ont moins tendance à chercher de l'aide, comparativement aux adultes. En termes de prévention chez les jeunes, les programmes existants ne réussissent pas à diminuer l’émergence des problèmes de JHA. Par conséquent, une approche différentielle de prévention ciblée adaptée au profil spécifique des joueurs en début d'adolescence est recommandée pour éviter le développement d'un trouble de JHA. Quelques programmes existants ont pu démontrer l'efficacité d'une prévention ciblée au niveau des abus de substances et de la délinquance, mais rien n'a encore été effectué dans le domaine des JHA.
Mixtures-based Value at Risk Estimates of Financial Stocks

Value at risk (VaR) and Conditional VaR (CVaR) are two common measures of risk that are related to the loss distribution. It is generally believed that if the true loss distribution is heavy-tailed, as compared to the normal, then the risk is higher. We show that in general this is not the case. We derive formulas for VaR and CVaR for mixtures and show that there are instances where the normality assumption overestimates (and the mixture distribution underestimates) the observed market risk. We show examples using market data from different financial firms to confirm our conclusions.
Classification for Moving Object Detection and Tracking Multiple Sensor Fusion

The precise detection and order of moving objects is a basic part of advanced driver assistance systems. This framework trusts that by including the object arrangement from different sensor detection as a key part of the object's portrayal and the observation procedure. In this paper we improve the perceived model of environment. First, we define the object representation along with the classification and second, we gives a complete fusion framework to solve the detection and tracking of moving object. Vehicle recognition is made out of two primary undertakings: simultaneous localization and mapping (SLAM) which produces a guide of the environment while all the other restricting the vehicle inside the guide given every one of the measurements from sensors; and DATMO which identifies and tracks the moving objects surrounding the vehicle and evaluations their future conduct.
Genetic Diversity Using Spoligotyping Method in the Case of Pulmonary Tuberculosis in Certain Localities of West Region of Cameroon

Tuberculosis (TB) remains a major global health problem. In 2016, an estimated 10.4 million people developed TB and 1.8 million died from the disease. TB epidemiology in Cameroon has so far largely consisted of reporting the number of cases detected and their demographic data. The present study investigates the genetic diversity among Mycobacterium tuberculosis complex circulating in the west region of Cameroon and analyzes the relationship between genotypes and epidemiology situation of patient. Spoligotyping was performed by PCR-amplification followed by the reverse hybridization of 120 cultured specimens and were identified by comparison to reference strains in SITVIT database. Mycobacterium tuberculosis was the only species identified. LAM10_CAM and T1 families were the most prevalent genetic families with 43.33% and 31.66% respectively. No association was found between genotypes with HIV serostatus. However, there was a significant association between genotypes and the gender also between genotypes and Patients age. Patients with age above 35 were more likely infected by LAM10_CAM strains, and belong genotypes and locality where the patients of Dschang were more likely infected by T1 strain. Population structure of Mycobacterium tuberculosis complex strains from the West region of Cameroon was found to be diverse and the Share Type 61 from the LAM10_CAM family was highly predominant.
A Look at EBITDA Reporting and Market Participants: Does Governance Matter?

In this paper, we investigate whether formally disclosing an EBITDA (earnings before interests, taxes, depreciation and amortization) number reduces the information asymmetry between managers and investors beyond the release of GAAP earnings. We also assess if EBITDA disclosure enhances the value relevance and the predictive ability of earnings. Results suggest that EBITDA reporting is associated with greater analyst following and with less information asymmetry (as proxied by Bid-Ask Spread and forecast dispersion). We also document that EBITDA reporting enhances the positive relationship between earnings and stock pricing as well as future cash flows. Moreover, it appears that corporate governance substitutes for EBITDA reporting for stock markets. Hence, EBITDA helps market participants to better assess earnings valuation when a firm’s governance is weak. Inversely, when governance is strong, releasing EBITDA information has a much smaller impact on the earnings-stock price relation. Key word: EBITDA, governance, Non-GAAP. Résumé Dans cet article, nous examinons si le fait de publier l'EBITDA (earnings before interests, taxes, depreciation and amortization) réduit l'asymétrie informationnelle entre les gestionnaires et les investisseurs au-delà de la publication des résultats conformes aux PCGR. Nous évaluons également si le fait de publier l’EBITDA améliore la pertinence et la valeur prédictive des résultats en PCGR. Il ressort de nos résultats que le fait de publier l’EBITDA est associé à un plus grand suivi des analystes financiers et à moins d'asymétrie informationnelle (écart acheteur-vendeur et dispersion dans les prévisions de résultats). Nous documentons également que la publication de l'EBITDA améliore la valorisation et la valeur prédictive des résultats. En outre, il apparaît qu’une bonne gouvernance se substitue à la publication de l’EBITDA pour les marchés boursiers. Par conséquent, l’EBITDA aide les acteurs du marché à mieux valoriser les résultats lorsque la gouvernance d'une entreprise est faible. Inversement, lorsque la gouvernance est forte, la publication de l’EBITDA a un impact beaucoup plus faible sur la relation coursrésultats. Mots clés : EBITDA, gouvernance, non-GAAP (non conforme aux normes comptables).
In vivo function of Pgßglu-1 in the release of acetophenones in white spruce

1 Michael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada 2 Norwegian Institute of Bioeconomy Research, Aas, Norway 3 Laurentian Forestry Centre, Natural Resources Canada, Quebec, Quebec, Canada 4 Department of Wood and Forest Sciences, Laval University, Quebec, Quebec, Canada 5 Department of Plant Sciences, University of Oxford, Oxford, United Kingdom 6 Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada 7 Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada
CEO labor market incentives and accounting quality: The unintended consequences of trade secret regulation∗

I examine the impact of a decrease in the pool of replacement CEOs. By integrating the staggered enactment of the Uniform Trade Secrets Act with the pre-existing pool of talent, I develop a novel firm and time specific measure of changes in the pool of replacement CEOs. I find that decreases in this pool lead to longer tenure, lower forced turnover, and higher compensation for incumbent CEOs, and lower financial reporting quality and narrative disclosure quality. Decreases in the pool are also associated with lower CEO-firm match, lower firm efficiency, lower performance and higher over-investment. The results are robust to alternative measures of decreases in the pool of talent and to controlling for additional trade secrets protection measures. My collective findings indicate that labor market institutions are important drivers of firm outcomes and accounting quality.
Appendix: Coxeter groups and unipotent representations

© Société mathématique de France, 1993, tous droits réservés. L’accès aux archives de la collection « Astérisque » (http://smf4.emath.fr/ Publications/Asterisque/) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright.
Performance Evaluation of Ad Hoc Network over Moving Vehicles in a City

-A mobile ad hoc network (MANET) is a collection of wireless mobile nodes that can dynamically form a temporary network without the aid of any existing network infrastructure. Wireless connectivity on vehicles is an important mode of communication. It is more challenging to provide high-bandwidth networking over fast moving vehicles. Ad Hoc network can be formed on fast moving vehicles where the interior node acts as rely node. A dynamic routing protocol is needed for a node to exchange data with another. In this research work, we consider the traffic density of a typical district town where traffic density much lower than a metropolitan city and vehicle speed is regulated according to traffic law. We have studied two routing protocols AODV and DSR in city traffic. According to our study, AODV shows performance than DSR on city road.
The space of generalized formal power series solution of an ordinary differential equation

© Société mathématique de France, 2009, tous droits réservés. L’accès aux archives de la collection « Astérisque » (http://smf4.emath.fr/ Publications/Asterisque/) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright.