115,947 research outputs found
V. Petrakos, Hommages à Jean Papadimitriou
No full textDoukellis Panagiotis N. V. Petrakos, Hommages à Jean Papadimitriou. In: Dialogues d'histoire ancienne, vol. 24, n°2, 1998. pp. 161-162
V. Petrakos, Hommages à Jean Papadimitriou
No full textDoukellis Panagiotis N. V. Petrakos, Hommages à Jean Papadimitriou. In: Dialogues d'histoire ancienne, vol. 24, n°2, 1998. pp. 161-162
Vitamin-V: Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services
No full textVitamin-V is a 2023-2025 Horizon Europe project that aims to develop a complete RISC-V open-source software stack for cloud services with comparable performance to the cloud-dominant x86 counterpart and a powerful virtual execution environment for software development, validation, verification, and test that considers the relevant RISC-V ISA extensions for cloud deployment
The Microbiota of Non-cow Milk and Products
No full textMilk, a basic component of the human diet, is rich in all kinds of nutrients, such as proteins, carbohydrates, lipids, vitamins, and minerals. These compounds comprise an ideal growth substrate for both harmful and beneficial microorganisms, making milk a perishable raw material. As a result, milk contains numerous microorganisms that originate either from the animal itself, even when the animal is clinically healthy, or from the environment during the collection and storage of milk. The increasing social, economic, and research on non-cow types of milk and its products illustrates the renewed interest in the microbiota associated with these matrices. The present work is an overview of existing knowledge on the microbiota of sheep, goat, buffalo, camel, equine, yak, and human milk and their products. Relevant studies concerning both classical microbiological approaches as well as advanced molecular methods are included
Variability of updated finite element models and their predictions consistent with vibration measurements
No full textA case study on a small-scale laboratory vehicle frame is used to investigate the variability of the updated finite element (FE) models that arises from model and measurement errors and demonstrate the effect of this variability on response predictions. Conventional weighted modal residuals and recently introduced multi-objective identification methods for structural model updating are used to provide the entire spectrum of Pareto optimal FE models consistent with the measured modal data. Similarities and differences between the two model updating methods are explored and the advantages of the multi-objective identification methods are emphasized. A significant variability in Pareto optimal models is observed, which is indicative of the uncertainty in the updated FE models. The dependence of the variability of the Pareto models on the information contained in the measured data and the size of model and measurement errors is explored by varying the number of measured modes, number of sensors, FE mesh discretization sizes, and number of model parameters. The effectiveness of the updated Pareto optimal models and their predictive capabilities are assessed. Frequency response functions and fatigue lifetime predictions are used as example of structural performance variables in order to demonstrate the variability in the response predictions that arises from the variability in the Pareto optimal models. A large variability in the response predictions is observed that cannot be ignored in decisions based on updated FE models. The multi-objective optimization method provides the general framework for properly accounting for model uncertainty in model-based response predictions consistent with measured data
author-bios-SRD-19-0063.R1 – Supplemental material for The Network Structure of Police Misconduct
No full textSupplemental material, author-bios-SRD-19-0063.R1 for The Network Structure of Police Misconduct by George Wood, Daria Roithmayr and Andrew V. Papachristos in Socius</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Bridge Health Monitoring System based on Vibration Measurements
No full textinfo:eu-repo/semantics/publishe
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