76 research outputs found
The use of Artificial Neural Networks to adjust and robustness study of experience tables of maintenance in disability
Pricing and, more important, reserving "life / death" and "disability" risks are strictly defined by the regulation, which imposes particular constraints on the technical rate and the laws of occurrence or maintenance. However, the assessment of portfolios reserving differs from the standard one proposed by the BCAC. Insurance companies are increasingly forced toseek the construction of experience tables to manage these risks, especially since it is unrealistic today to expect offset losses by financial products. Traditional adjustment methods, in actuarial literature, usually used to smooth the recovery curve rate estimated usually by the robust Adjusted KaplanâMeier estimator, induce a model error due a boundary bias. The available data are usually sparse and poor quality on the border. Thus a boundary bias is due to weight allocation by the fixed symmetric argument outside the support of the gross curve, when smoothing close to the boundary is carried out. The objective of this work is the use of Artificial Neural Networks (ANN) for adjustment and smoothing experience tables of maintenance in disability applied to a two cycles real set data. The artificial neural networks are parametric nonlinear models able to play an "universal approximator" role achieving a local and global approximation. Two architectures networks are particularly suited to model and smooth gross output rates: Feedforward Neural Networks (FNN) and Radial Basis Functions (RBF) Networks. The robustness of the ANN globally and especially at the edge of curve can be also studied. Graphical tests are used to compare output surfaces rates obtained by neural networks with those obtained by WhittakerâHenderson framework
Impacto do Trauma Relacional Precoce nos Processos PsĂquicos em FamĂlias VulnerĂĄveis: ImplicaçÔes para o Tratamento de Crianças e FamĂlias
Numerous works and clinical research conducted in various institutions have cast fresh light on the notion of trauma and have contributed to the emergence of the concept of early relational trauma. Early relational trauma is a form of trauma rendered complex by the multiplicity of its sources and its modes of expression. Its main features are often attachment and acting-out disturbances. In families where such trauma occurs, links could sometimes be perverted and form a narcissistic configuration. This mode of functioning, organized around negativity, impacts the plurality of psychic processes and interferes with the treatment approaches of multidisciplinary teams. In order to promote a multifocal approach to care tailored to differences in situations, educational and socio-judicial practitioners.InĂșmeros trabalhos e pesquisas clĂnicas realizados em diversas instituiçÔes trouxeram Ă luz a noção de trauma e contribuĂram para o surgimento do conceito de trauma relacional precoce. O trauma relacional precoce Ă© uma forma de trauma complexo pela multiplicidade de suas fontes e seus modos de expressĂŁo. Suas principais caracterĂsticas sĂŁo frequentemente distĂșrbios de apego e atuação. Nas famĂlias onde ocorre tal trauma que Ă s vezes pode ser pervertido em configuraçÔes narcĂsicas, esse modo de funcionamento organizado em torno da negatividade impacta a pluralidade do psĂquico e interfere nas abordagens de tratamento das equipes multidisciplinares. Para promover uma abordagem multifocal de cuidados adaptados Ă s diferenças de situaçÔes, profissionais de educação e sĂłcio judiciais
Conception dâun Nouveau MĂ©canisme AlĂ©atoirement Dynamique OptimisĂ© pour le Chiffrement BasĂ© Chaos dâImages
Le traitement de message par message permet de rĂ©aliser une cryptanalyse fondĂ©e sur lâexploitation du contexte gĂ©nĂ©ral de lâĂ©change. Dans cet article, pour annuler cette vulnĂ©rabilitĂ©, nous introduisons un nouveau systĂšme cryptographique basĂ© chaos pour le chiffrement des images numĂ©riques, son fonctionnement est alĂ©atoirement dynamique fondĂ© sur l'utilisation simultanĂ©e de plusieurs attracteurs chaotiques. LâĂ©tude expĂ©rimentale prouve que ce nouveau systĂšme produit un cryptage avec un trĂšs bon compromis entre sĂ©curitĂ© et rapiditĂ© en plus il Ă©vite que deux messages aient le mĂȘme chiffrĂ©
Ătude comparative des performances en production de quelques gĂ©nĂ©rations de Solanum tuberosum consommĂ©es au Maroc
La qualitĂ© des tubercules de diffĂ©rentes gĂ©nĂ©rations de pomme de terre issues de la variĂ©tĂ© française DĂ©sirĂ©e est Ă©tudiĂ©e par diffĂ©rentes mĂ©thodes statistiques. Quelque soit la gĂ©nĂ©ration, la germination de tubercules est contrĂŽlĂ©e par la tempĂ©rature, lâhumiditĂ© relative et lâhydratation des tubercules. Une corrĂ©lation positive existe entre le calibre, le poids des tubercules et la formation des germes; cette derniĂšre est rĂ©duite Ă partir de la 3Ăšme gĂ©nĂ©ration probablement Ă cause dâune diffĂ©renciation excessive des cellules composant les tubercules et de leur manque en rĂ©serves Ă©nergĂ©tiques. Aucune diffĂ©rence significative nâest dĂ©celĂ©e entre les trois premiĂšres gĂ©nĂ©rations qui se sont montrĂ©es homogĂšnes pour les calibres, les poids, la diffĂ©renciation des cellules et leur teneur en grains dâamidon. Au-delĂ de la 3Ăšme gĂ©nĂ©ration des diffĂ©rences notables entre les tubercules sont observĂ©es et la production est rĂ©duite. Toutes les gĂ©nĂ©rations sont sensibles au stress hydrique, mais ce sont les gĂ©nĂ©rations ĂągĂ©es qui sont les plus vulnĂ©rables Ă un manque dâeau et Ă une attaque par les micro-organismes
BIG HEALTH DATA: A SYSTEMATIC MAPPING STUDY
The Big Data, a result of the digital revolution, offers several opportunities in the field of health. Indeed, appliances and applications permanently connected to humans and the global digitalization of medical documents produce a vast health data: "Big Health Data". This data is the subject of several projects in the world given the opportunities offered to optimize this area. This paper focuses on quantifying the production of scientific articles about Big Health Data research and the most investigated Big Health Data topics. It also presents a mapping of countries producing articles about this subject. In remote sensing using real time categories, we aimed to quantify articles dealing with âbig data architecturesâ, technologies and data sources used. A systematic mapping study was conducted with a set of seven research questions by investigating articles from two digital libraries: Scopus and Springer. The study concern articles published in 2017 and the first half of 2018. The results are illustrated by diagrams answering each question from which a set of recommendations are concluded in this area of research. The study shows that this Data is used the most in studies of oncology. Statistics show that while remote sensing and monitoring is a hot topic, real-time use is not as interesting. It was found that thereâs a lack in studies interested in big data technologies used in real time remote sensing in the field of health. In conclusion, we recommend more focus on research area treating architecture in remote sensing real time Big Health Data systems combined with geolocation
TRPV6 Determines the Effect of Vitamin D3 on Prostate Cancer Cell Growth
Despite remarkable advances in the therapy and prevention of prostate cancer it is still the second cause of death from cancer in industrialized countries. Many therapies initially shown to be beneficial for the patients were abandoned due to the high drug resistance and the evolution rate of the tumors. One of the prospective therapeutical agents even used in the first stage clinical trials, 1,25-dihydroxyvitamin D3, was shown to be either unpredictable or inefficient in many cases. We have already shown that TRPV6 calcium channel, which is the direct target of 1,25-dihydroxyvitamin D3 receptor, positively controls prostate cancer proliferation and apoptosis resistance (Lehen'kyi et al., Oncogene, 2007). However, how the known 1,25-dihydroxyvitamin D3 antiproliferative effects may be compatible with the upregulation of pro-oncogenic TRPV6 channel remains a mystery. Here we demonstrate that in low steroid conditions 1,25-dihydroxyvitamin D3 upregulates the expression of TRPV6, enchances the proliferation by increasing the number of cells entering into S-phase. We show that these pro-proliferative effects of 1,25-dihydroxyvitamin D3 are directly mediated via the overexpression of TRPV6 channel which increases calcium uptake into LNCaP cells. The apoptosis resistance of androgen-dependent LNCaP cells conferred by TRPV6 channel is drastically inversed when 1,25-dihydroxyvitamin D3 effects were combined with the successful TRPV6 knockdown. In addition, the use of androgen-deficient DU-145 and androgen-insensitive LNCaP C4-2 cell lines allowed to suggest that the ability of 1,25-dihydroxyvitamin D3 to induce the expression of TRPV6 channel is a crucial determinant of the success or failure of 1,25-dihydroxyvitamin D3-based therapies
Sur l'inference non parametrique d'un processus autoregressif non lineaire
SIGLECNRS T Bordereau / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
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