University of Évry Val d'Essonne

Abstract We propose high-Q factors sub-stoichiometric TiN-based Lumped Element MKIDs on sapphire with vacuum gap suspended meander. The aim is to improve detector response by trapping phonons within the meander to increase the number of Cooper pairs breaking into quasiparticles. Furthermore, either Nb/Au or Nb/Al reflective thin bilayer can be placed beneath \textcolor{black}{the meander} to respectively improve the photon peak absorption at the near-infrared and visible wavelengths.

ABSTRACT Given their increasing number, corporate brand crises are a subject of growing academic interest. Today’s managers face a hostile and often uncontrollable external information environment. Maintaining employee trust during turmoil is key to crisis resolution. However, it is during crises that employee trust can be most threatened. Our study draws on social identity theory to understand the conditions under which trust is destroyed and possibly repaired after a corporate brand crisis. The results from two experimental studies suggest that corporate brand crises decrease employee trust due to the threat to their social image. However, appropriate mitigation strategies that restore employees’ social status can effectively repair their trust. This decline and repair dynamic is amplified among highly identified employees, suggesting that organisational identification has a bounce-back effect on this mechanism.

ABSTRACTGenetic variants associated with the late onset of Alzheimer’s disease (AD), were correlated with genes known to be expressed in microglia, suggesting for an AD-genetic component directly influencing microglia behavior. Instead, the role of the familial AD (fAD) genetic mutations was systematically studied from the angle of the Amyloid-Beta pathway; leaving their participation in microglia homeostasis unexplored.Here we demonstrate that two previously described fAD-related PSEN1 mutations directly impair proper microglia differentiation. While human induced pluripotent stem cells harboring the PSEN1-M146V mutation did not give rise to hematopoietic precursor (HPC) intermediate during microglia differentiation, a PSEN1-A246E mutant line managed to produce HPCs, but died within the first days of microglia differentiation.Detailed transcriptomics/epigenomics and functional assays revealed the setup of a pro-apoptotic program in the PSEN1-A246E mutant, which was circumvented when HPCs were grafted in brain organoids (BORGs). Microglia obtained in BORGs presented preferentially pro-inflammatory signatures, further supported by their correlation with recent data providing a detailed stratification of the various microglia populations within AD-patient samples.Overall, this study contributes to reconsider the influence of the previously identified familial mutations in the homeostasis of this immune component of the central nervous system.

This paper investigates the finite-time stability (FTS) of a linear conformable stochastic differential equation with finite delay (LCSDEwFD). We use the Banach fixed point theorem (BFPT) to prove the existence and uniqueness of the solution and analyze the FTS of the system using the Gronwall inequalities. To demonstrate the practical value of our approach, we provide two numerical examples that showcase the relevance and effectiveness of our theoretical results.

This article presents an improved procedure for detecting single damage in beam-like structures. Many damage detection methods are based on the analysis of beam natural frequency shifts in damaged and intact states and its analytical modal curvatures. They identify the damage by constructing curves of damage coefficients along the beam and visually determining the point of their mutual intersection. However, for some cases, the absence of an unambiguous point of intersection of these curves or the low accuracy of its localization makes it difficultto use these methods. To accurately determine the mutual intersection of damage coefficient curves, this work proposes to use a subset of modes without one having its curvature close to zero at the site of the alleged damage. This approach greatly simplifies the determination of the point of intersection of the curves of damagecoefficients. An enhanced procedure for the numerical determination of this intersection point is also proposed,rather than the visual one used in existing methods. The effectiveness of the proposed technique was confirmedby numerical simulation followed by experimental verification.

Exploration of the chemical reaction space of chemical transformations in multicomponent mixtures is a challenge for modern computational protocols. In order to remove expert bias from mechanistic studies and to discover new chemistries, an automated graph-theoretical methodology is proposed to provide mechanistic analysis in catalytic systems. The primary advantage of the presented three-step approach over the existing automated pathways generation methods is the integrated ability to handle multicomponent catalytic systems of arbitrary complexity (mixtures of reactants, catalyst precursors, ligands, additives, and solvent). It is not limited to pre-defined chemical rules, does not require pre-alignment of reaction mixture components consistent with a reaction coordinate and is not agnostic to the chemical nature of transformations. Conformer exploration, Reactive event identification and Reaction network analysis are the main steps taken for understanding the underlying mechanistic pathways in catalytic mixtures given the reaction mixture as the input. Such a methodology allows to comprehensively explore the catalytic systems in realistic conditions for either previously observed or completely unknown reactive events. The expert bias is sought to be removed in either of the steps and chemical intuition is limited to the choice of the thermodynamic constraint imposed by the applicable experimental conditions in terms of threshold energy values for allowed transformations. The capabilities of the proposed methodology have been tested by exploring reactivity of Mn complexes relevant for catalytic hydrogenation chemistry to verify previously postulated activation mechanisms and unravel unexpected reaction channels relevant to rare deactivation events.

We describe a new algorithm and R package for peak detection in genomic data sets using constrained changepoint models. These detect changes from background to peak regions by imposing the constraint that the mean should alternately increase then decrease. An existing algorithm for this problem exists, and gives state-of-the-art accuracy results, but it is computationally expensive when the number of changes is large. We propose a dynamic programming algorithm that jointly estimates the number of peaks and their locations by minimizing a cost function which consists of a data fitting term and a penalty for each changepoint. Empirically this algorithm has a cost that is O(N log(N )) for analyzing data of length N . We also propose a sequential search algorithm that finds the best solution with K segments in O(log(K) N log(N )) time, which is much faster than the previous O(K N log(N )) algorithm. We show that our disk-based implementation in the PeakSegDisk R package can be used to quickly compute constrained optimal models with many changepoints, which are needed to analyze typical genomic data sets that have tens of millions of observations.

The consumption of fabrics in 18th-Century Europe experienced a notable expansion - particularly in France, a major hub for the diffusion of clothing fashions across the continent. Driven by manufacturers and merchants, the supply of new product varieties has been highlighted in several French production areas. However, a general assessment of the scale and rates of product innovation in the market for fabrics has never been attempted. By varying the scales of analysis, from the statistics the French monarchy used to assess production in the various production areas to store inventories, we can try to estimate the secular movements of product innovation. Over the course of the 18th century, the market for medium or poor quality cloths appears to have been particularly dynamic: the proportion of new varieties at the end of the century approximated two-thirds of the stock. There was also a tendency to diversify the supply - which ended up making the "world of goods" difficult to read, many product innovations being present on the market only for a while.