105,921 research outputs found

    Préparation et contrôle de l’activité d’un sérum anti-colibacillaire plurispécifique

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    Saint Aubert G. de, Valette L. R., Papageorgiou C. Préparation et contrôle de l’activité d’un sérum anti-colibacillaire plurispéciflque. In: Bulletin de l'Académie Vétérinaire de France tome 118 n°9, 1965. pp. 439-446

    Review Article: Byzantium and the West: Perception and Reality (11th-15th C.), edited by Nikolaos G. Chryssis, Athina Kolia-Dermitzaki and Angeliki Papageorgiou, Abingdon and New York: Routledge, 2019

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    Review Article:Byzantium and the West: Perception and Reality (11th-15th C.), edited by Nikolaos G. Chryssis, Athina Kolia-Dermitzaki and Angeliki Papageorgiou, Abingdon and New York: Routledge, 201

    Spécificité, fidélité et sensibilité des antigènes pulloriques de dépistage

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    Papageorgiou C., Valette L., Béranger G., Joubert L. Spécificité, fidélité et sensibilité des antigènes pulloriques de dépistage. In: Bulletin de l'Académie Vétérinaire de France tome 121 n°3, 1968. pp. 107-117

    Resonant neumann equations with indefinite linear part

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    We consider aseminonlinear Neumann problem driven by the p- Laplacian plus an indenite and unbounded potential. The reaction of the problem is resonant at ±∞ with respect to the higher parts of the spectrum. Using critical point theory, truncation and perturbation techniques, Morse theory and the reduction method, we prove two multiplicity theorems. One produces three nontrivial smooth solutions and the second four nontrivial smooth solutions

    Bifurcation phenomena for the positive solutions of semilinear elliptic problems with mixed boundary conditions

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    We consider a parametric semilinear elliptic equation with a Cara-theodory reaction which exhibits competing nonlinearities. It is "concave" (sub-linear) near the origin and "convex" (superlinear) or linear near ++\infty. Using variational methods based on the critical point theory, coupled with suitable truncation and comparison techniques, we prove a bifurcation-type theorem, describing the set of positive solutions as the parameter varies

    A nonlinear eigenvalue problem for the periodic scalar p-Laplacian

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    We study a parametric nonlinear periodic problem driven by the scalar p-Laplacian. We show that if λ̂1> 0 is the first eigenvalue of the periodic scalar p-Laplacian and λ > λ̂1, then the problem has at least three nontrivial solutions one positive, one negative and the third nodal. Our approach is variational together with suitable truncation, perturbation and comparison techniques

    Highway Traffic Control with Moving Bottlenecks of Connected and Automated Vehicles for Travel Time Reduction

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    The advancements in automotive industry in vehicles communication and automation can be efficiently exploited to introduce new traffic control and management methods. In this paper, a version of the Cell Transmission Model (CTM) incorporating the capacity drop phenomenon is used to model a human-driven vehicles traffic flow where vehicles equipped with Vehicles Automation and Communication Systems (VACS) are present. Connected and Automated Vehicle (CAV) are modeled as moving bottlenecks impacting on the surrounding traffic by reducing the free-flow speed of the overall traffic flow at their location. The speeds of the moving bottlenecks are assumed as control variables and a Model Predictive Control (MPC) approach is used in order to minimize travel times along the highway. The approach is assessed in simulations using a realistic case study

    From Undirected Structures to Directed Graphical Lasso Fuzzy Cognitive Maps using Ranking-based Approaches

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    Fuzzy cognitive maps (FCMs) have gained popularity within the scientific community due to their capabilities in modelling and decision making for complex problems. However, learning FCM models automatically from data without any expert knowledge and/or historical data remains a considerable challenge. For our research, we use the estimated weight matrix from the graphical lasso (glasso) method with the EBIC regulation technique. Particularly, the glasso is a technique originated from machine learning which is used to model a problem by learning the weight matrix directly from a dataset. Moreover, the relationships are expressed by conditional independence among two nodes after conditioning on all the other nodes of the graph. However, the challenging task in this study is the investigation of the suitable transformation of the weight matrix from a symmetric matrix to asymmetric in order to determine the directions of the edges among the concepts and construct the glassoFCM model. For this reason, statistical comparisons are applied to examine if there are significant differences in the value of the output concept when the input concepts are rearranged according to four different cases. The whole approach was implemented in a business intelligence problem of evaluating the willingness of the employees to work in Belgian companies

    Resonant nonlinear periodic problems with the scalar p-Laplacian and a nonsmooth potential

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    We study periodic problems driven by the scalar p-Laplacian with a nonsmooth potential. Using the nonsmooth critical point theory for locally Lipsctiz functions,we prove two existence theorems under conditions of resonance at infinity with respect to the first two eigenvalues of the negative scalar p-Laplacian with periodic boundary conditions.Universidade de Aveir
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