ParisTech

About: ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Finite element method & Residual stress. The organization has 1888 authors who have published 1965 publications receiving 55532 citations. The organization is also known as: Paris Institute of Technology & ParisTech Développement.

Quantitative Analyses of ROS and RNS Production in Breast Cancer Cell Lines Incubated with Ferrocifens

Abstract: Ferrocifens are an original class of ferrocifen-type breast cancer drugs They possess anti-proliferative effects due to the association of the ferrocene moiety and the tamoxifen skeleton In this work, fluorescence measurements indicated the production of reactive oxygen species (ROS) if hormone-dependent or -independent breast cancer cells were incubated with three hit ferrocifen compounds Additionally, amperometry at ultramicroelectrodes was carried out to identify and quantify ROS and reactive nitrogen species (RNS) under stress conditions Videomicroscopy was used to optimize the conditions employed for electrochemical investigations Amperometry was then performed on two cell lines pre-incubated with each of the three ferrocifens Interestingly, these results demonstrate that the presence of an aminoalkyl chain in the ferrocifen structure may confer a unique behavior toward both cell lines, in comparison with the two other compounds that lack this feature

Sustainable-supplier selection for manufacturing services: a failure mode and effects analysis model based on interval-valued fuzzy group decision-making

Abstract: Inside supply chains’ exercises, evaluating suitable suppliers in light of the sustainability criteria, including economic, environmental, and social, can assist organizations to move toward sustainable development by considering their risks. Evaluating and choosing the sustainable-supplier for manufacturing services with lowest risks among candidates in the sustainable-supply chain management (S-SCM) is a vital issue for logistics managers, particularly by considering different sustainable criteria via three dimensions of the sustainability for strategic decisions. This paper introduces a new failure mode and effects analysis (FMEA) model based on multi-criteria decision-making by a group of supply chain-experts with interval-valued fuzzy (IVF) setting and asymmetric uncertainty information concurrently. In fact, the proposed model evaluates and ranks the suppliers according to their risks of economic, social, and environmental dimensions. Concepts of mean, variance, and skewness are introduced into the proposed FMEA model, and their mathematical relations are presented based on fuzzy possibilistic statistical concepts. Then, new definitions in the FMEA are presented for obtaining ideal solutions under uncertain conditions with possibilisic mean and possibilistic standard deviation, along with the possibilisic cube-root of skewness. Also, novel separation measures, max- and min-indices, and new fuzzy ranking index for risk scoring are presented to provide order of sustainable-supplier candidates under risky conditions. Finally, a real case study for manufacturing services is given and solved by the proposed FMEA model to demonstrate its capability in the S-SCM environment. The results of the proposed model illustrate that sustainable suppliers have been assessed and selected with the least amount of risks according to three dimensions of the sustainability.

A cell formation problem considering machine utilization and alternative process routes by scatter search

Abstract: Cell formation (CF) is the first step in the design of cellular manufacturing systems (CMSs), which has been recognized as an effective way to enhance the productivity in a factory. There is a set of criteria on which to judge route of product, machine grouping and part family simultaneously in terms of the effective utilization of these cells. In this study, we consider four objectives simultaneously: (1) Minimizing the total fixed and variable cost including costs of purchasing, operation, and maintenance; (2) minimizing cost of intercellular movements; (3) maximizing the utilization of machines in the system; and (4) minimizing deviations among the levels of the cell utilization (i.e., balancing the workload between cells). In this paper, these objectives are first weighted by their relative importance and then a new mathematical model is presented. To solve this model, a scatter search (SS) algorithm is proposed to select a process plan for each part with the minimum cost along with forming the part family and machine grouping simultaneously. The performance of the proposed SS is compared with the Lingo 8.0 software. A number of test problems are carried out to verify the good ability of the proposed SS in terms of the solution quality and computational time. The computational results reveal that the SS finds promising results, especially in the case of large-sized problems.

Strong tip-sample coupling in thermal radiation scanning tunneling microscopy

Abstract: We analyze how a probing particle modifies the infrared electromagnetic near field of a sample. The particle, described by electric and magnetic polarizabilities, represents the tip of an apertureless scanning optical near-field microscope (SNOM). We show that the interaction with the sample can be accounted for by ascribing to the particle dressed polarizabilities that combine the effects of image dipoles with retardation. When calculated from these polarizabilities, the SNOM signal depends only on the fields without the perturbing tip. If the studied surface is not illuminated by an external source but heated instead, the signal is closely related to the projected electromagnetic local density of states (EM-LDOS). Our calculations provide the link between the measured far-field spectra and the sample's optical properties. We also analyze the case where the probing particle is hotter than the sample and evaluate the impact of the dressed polarizabilities on near-field radiative heat transfer. We show that such a heated probe above a surface performs a surface spectroscopy, in the sense that the spectrum of the heat current is closely related to the local electromagnetic density of states. The calculations agree well with available experimental data.

New Solubility Data of Hydrocarbons in Water and Modeling Concerning Vapor−Liquid−Liquid Binary Systems

Abstract: Solubility data in water of ethane, propane, isobutane, n-butane, n-pentane, and n-hexane have been obtained as a function of temperature in vapor−liquid−liquid equilibrium (VLLE) conditions. The minimum temperature of experiments is 288 K, while the maximum temperature, for each system, is lower than the critical temperature of the corresponding hydrocarbon. New solubility vs temperature correlations are given herein for the studied hydrocarbons in water. Henry's law and activity coefficients at infinite dilution are deduced from the experimental solubility data. Good agreement is found with available literature data.