HAL - Lille 3
Not a member yet
5967 research outputs found
Sort by
Compact-MDD: Efficiently Filtering (s)MDD Constraints with Reversible Sparse Bit-sets
No full textInternational audienceMulti-Valued Decision Diagrams (MDDs) are instrumental in modeling combinatorial problems with Constraint Programming.In this paper, we propose a related data structure called sMDD (semi-MDD) where the central layer of the diagrams is non-deterministic.We show that it is easy and efficient to transform any table (set of tuples) into an sMDD.We also introduce a new filtering algorithm, called Compact-MDD, which is based on bitwise operations, and can be applied to both MDDs and sMDDs.Our experimental results show the practical interest of our approach, both in terms of compression and filtering speed
Les mutations des sites d’épissage de l’exon 14 de MET. Une nouvelle opportunité thérapeutique dans le cancer du poumon
No full textInternational audienc
A Cubic Chromosome Representation for Patient Scheduling in the Emergency Department
No full textInternational audienceIn healthcare institution management, hospital flow control and the prediction of overcrowding are major issues. The objective of the present study is to develop a dynamic scheduling protocol that minimizes interference between scheduled and unscheduled patients arriving at the emergency department (ED) while taking account of disturbances that occur in the ED on a daily basis. The ultimate goal is to improve the quality of care and reduce waiting times via a two-phase scheduling approach. In the first phase, we used a genetic algorithm (based on a three-dimensional cubic chromosome) to manage scheduled patients. In the second phase, we took account of the dynamic, uncertain nature of the ED environment (the arrival of unscheduled patients) by continuously updating the schedule
Actuator fault detection for vehicle lateral dynamics
No full textInternational audienceThis paper proposes an actuator fault detection based on unknown input observer for simultaneously state estimation and fault estimation applied to lateral vehicle dynamics. The lateral dynamics is modeled by a linear parameter varying model where the longitudinal velocity is considered as parameter varying. The observers gains are based on the resolution of linear matrix inequalities. The observers convergence is analyzed by using the Lyapunov theory. The proposed fault detection system is finally applied to the detection and estimation of steering angle fault and the estimation of the yaw velocity, yaw angle and the trajectory of the vehicle. Simulation study verifies the effectiveness of the proposed approach
La formation en matière de violence. Enjeux et pratiques dans le contexte des soins en psychiatrie
No full textInternational audienceThis article examines the place of violence in training dynamics in mental health institutions. Violence is a common phenomenon in relationships between patients and nursing staff in psychiatry. Both can be the perpetrator and the victim of it. Since the 2000s, considering mental illness as going hand in hand with violence, the public authorities have favored security measures aimed at protecting nursing staff, and have therefore set up training programs on violence. This article studies a local training program for mental health professionals that helps them to face “aggressiveness” crises. While the attendees take on board the content of the training, the effectiveness and legitimacy of its practical application calls them to reflect on its suitability. Additionally, the emphasis on “aggressiveness” eclipses other forms of violent expression that are at play in ordinary relationships in a context of psychiatric care.Este artículo cuestiona el lugar de la violencia en la relación entre formación y trabajo en las instituciones de atención psiquiátrica. La violencia es un fenómeno común en el trato entre pacientes y personal sanitario en psiquiatría, siendo ambos actores autores y víctimas. Desde los años 2000, asumiendo que la enfermedad mental representa un riesgo de violencia, los poderes públicos han querido garantizar la seguridad del personal sanitario, lo que ha fomentado determinadas prácticas de formación. Este artículo examina un dispositivo local de formación dirigido al personal sanitario en psiquiatría para hacer frente a las crisis de “agresividad”. Los participantes parecen asimilar los contenidos, pero se preguntan cuál es la eficacia y la pertinencia de su puesta en práctica. Asimismo, el énfasis en la “agresividad” oculta otras formas de expresión de violencia presentes en las relaciones ordinarias en psiquiatría.Cet article interroge la place de la violence sous l’angle des relations entre formation et travail en contexte psychiatrique. La violence y est un phénomène typique des rapports entre patients et soignants de telle sorte que chacun est tour à tour auteur et victime. Depuis les années 2000, considérant que la maladie mentale est assortie d’un risque de violence, les pouvoirs publics ont pris à ce sujet un tournant sécuritaire visant à protéger les soignants et qui se traduit dans certaines pratiques de formation. Cet article examine un dispositif local de formation adressé à des personnels de psychiatrie pour faire face aux crises d’« agressivité ». Si les participants semblent s’en approprier les contenus, l’efficacité et le bien-fondé de leur application en contexte de soins les interpellent. De plus, l’accent mis sur l’« agressivité » occulte d’autres formes d’expression de violence à l’œuvre dans les relations ordinaires en psychiatrie
Harcèlement scolaire et/ou bouc-émissaire en classe ? Une étude de cas située en cours d’éducation physique et sportive
No full textInternational audienceAdeline Bouchet et al., « Harcèlement scolaire et/ou bouc émissaire ? Une étude de cas en cours d'éducation physique et sportive », La reproduction ou représentation de cet article, notamment par photocopie, n'est autorisée que dans les limites des conditions générales d'utilisation du site ou, le cas échéant, des conditions générales de la licence souscrite par votre établissement. Toute autre reproduction ou représentation, en tout ou partie, sous quelque forme et de quelque manière que ce soit, est interdite sauf accord préalable et écrit de l'éditeur, en dehors des cas prévus par la législation en vigueur en France. Il est précisé que son stockage dans une base de données est également interdit
Asymptotics of Cholesky GARCH Models and Time-Varying Conditional Betas
No full textThis paper proposes a new model with time-varying slope coefficients. Our model, called CHAR, is a Cholesky-GARCH model, based on the Cholesky decomposition of the conditional variance matrix introduced by Pourahmadi (1999) in the context of longitudinal data. We derive stationarity and invertibility conditions and prove consistency and asymptotic normality of the Full and equation-by-equation QML estimators of this model. We then show that this class of models is useful to estimate conditional betas and compare it to the approach proposed by Engle (2016). Finally, we use real data in a portfolio and risk management exercise. We find that the CHAR model outperforms a model with constant betas as well as the dynamic conditional beta model of Engle (2016)
GPU-accelerated backtracking using CUDA dynamic parallelism
No full textInternational audienceNew GPGPU technologies, such as CUDA Dynamic Parallelism (CDP), can help dealing with recursive patterns of computation, such as divide-and-conquer, used by backtracking algorithms. In this paper, we propose a GPU-accelerated backtracking algorithm using CDP that extends a well-known parallel backtracking model. The search starts on CPU, processing the search tree until a first cutoff depth. Based on this partial backtracking tree, the algorithm analyzes the memory requirements of subsequent kernel generations. The proposed algorithm performs no dynamic allocation of memory on GPU, unlike related works from the literature. The proposed algorithm has been extensively tested using the N-Queens Puzzle problem and instances of the Asymmetric Traveling Salesman Problem (ATSP) as test-cases. The proposed CDP algorithm may, under some conditions, outperform its non-CDP counterpart by a factor up to 25. But, it may also be up to twice slower. The CDP-based implementation has much better worst case execution times and makes algorithm's performance less dependent on the tuning of parameters. Compared to other CDP-based strategies from the literature, the proposed algorithm is on average 8× faster. The proposed algorithm is also hybridized with another CDP-based strategy from the literature. The combination of strategies is in average 4.5× faster than the related strategy. We also identify some difficulties, limitations, and bottlenecks concerning the CDP programming model which may be useful for helping potential users
Guidelines for reporting secondary findings of genome sequencing in cancer genes: the SFMPP recommendations
No full textIF 3.636 (2017)International audienceIn oncology, the expanding use of multi-gene panels to explore familial cancer predisposition and tumor genome analysis has led to increased secondary findings discoveries (SFs) and has given rise to important medical, ethical, and legal issues. The American College of Medical Genetics and Genomics published a policy statement for managing SFs for a list of genes, including 25 cancer-related genes. Currently, there are few recommendations in Europe. From June 2016 to May 2017, the French Society of Predictive and Personalized Medicine (SFMPP) established a working group of 47 experts to elaborate guidelines for managing information given on the SFs for genes related to cancers. A subgroup of ethicists, lawyers, patients’ representatives, and psychologists provided ethical reflection, information guidelines, and materials (written consent form and video). A subgroup with medical expertise, including oncologists and clinical and molecular geneticists, provided independent evaluation and classification of 60 genes. The main criteria were the “actionability” of the genes (available screening or prevention strategies), the risk evaluation (severity, penetrance, and age of disease onset), and the level of evidence from published data. Genes were divided into three classes: for class 1 genes (n = 36), delivering the information on SFs was recommended; for class 2 genes (n = 5), delivering the information remained questionable because of insufficient data from the literature and/or level of evidence; and for class 3 genes (n = 19), delivering the information on SFs was not recommended. These guidelines for managing SFs for cancer-predisposing genes provide new insights for clinicians and laboratories to standardize clinical practices