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81.
Dr. Rosa Purgatorio Dr. Larisa N. Kulikova Dr. Leonardo Pisani Dr. Marco Catto Dr. Modesto de Candia Prof. Antonio Carrieri Prof. Saverio Cellamare Dr. Annalisa De Palma Andrey A. Beloglazkin Ghulam Reza Raesi Prof. Leonid G. Voskressensky Prof. Cosimo D. Altomare 《ChemMedChem》2020,15(20):1947-1955
A number of 1,2,3,4-tetrahydrochromeno[3,2-c]pyridin-10-one derivatives have been synthesized and screened against different targets involved in the onset and progression of Alzheimer's disease (AD), such as acetyl- and butyrylcholinesterase (AChE and BChE), monoamine oxidases A and B (MAO A and B), aggregation of β-amyloid (Aβ) and reactive oxygen species (ROS) production. Derivatives 1 c , 3 b , 4 and 5 a showed multifaceted profiles of promising anti-AD features and returned well-balanced multitargeting inhibitory activities. Moreover, compound 1 f , a potent and selective human MAO B inhibitor (IC50=0.89 μM), proved to be a safe neuroprotectant in a human neuroblastoma cell line (SH-SY5Y) by improving viability impaired by Aβ1–42 and pro-oxidant insult. Furthermore, structure–activity relationships (SARs) and docking models were derived in order to assist further hit-to-lead optimization stage. 相似文献
82.
Sarah Grossi Annalisa Grimaldi Terenzio Congiu Arianna Parnigoni Giampiero Campanelli Paola Campomenosi 《International journal of molecular sciences》2021,22(2)
Several types of 3-dimensional (3D) biological matrices are employed for clinical and surgical applications, but few indications are available to guide surgeons in the choice among these materials. Here we compare the in vitro growth of human primary fibroblasts on different biological matrices commonly used for clinical and surgical applications and the activation of specific molecular pathways over 30 days of growth. Morphological analyses by Scanning Electron Microscopy and proliferation curves showed that fibroblasts have different ability to attach and proliferate on the different biological matrices. They activated similar gene expression programs, reducing the expression of collagen genes and myofibroblast differentiation markers compared to fibroblasts grown in 2D. However, differences among 3D matrices were observed in the expression of specific metalloproteinases and interleukin-6. Indeed, cell proliferation and expression of matrix degrading enzymes occur in the initial steps of interaction between fibroblast and the investigated meshes, whereas collagen and interleukin-6 expression appear to start later. The data reported here highlight features of fibroblasts grown on different 3D biological matrices and warrant further studies to understand how these findings may be used to help the clinicians choose the correct material for specific applications. 相似文献
83.
3D Printing/Interfacial Polymerization Coupling for the Fabrication of Conductive Hydrogel
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Erika Fantino Ignazio Roppolo Dongxing Zhang Junfeng Xiao Annalisa Chiappone Micaela Castellino Qiuquan Guo Candido Fabrizio Pirri Jun Yang 《大分子材料与工程》2018,303(4)
In this study, 3D printing is coupled with interfacial polymerization to obtain electroactive hydrogels with complex and defined geometry. Conductive hydrogels are created through a two‐step procedure: first a digital light processing 3D printing system is used to fabricate poly(ethylene glycol)diacrylate 3D structure and then pyrrole is oxidized to polypyrrole (PPY), exploiting an interfacial polymerization mechanism through which PPY can be formed in the poly(ethylene glycol) matrix, thus creating a conductive phase. 相似文献
84.
Tocci Marialaura Pola Annalisa Gelfi Marcello La Vecchia Giovina Marina 《Metallurgical and Materials Transactions A》2020,51(9):4799-4811
Metallurgical and Materials Transactions A - The application of an innovative high-pressure T6 treatment (HPT6) to additively manufactured AlSi10Mg alloy is reported in this paper. The aim of this... 相似文献
85.
Annalisa Appice 《Journal of Intelligent Information Systems》2018,50(1):165-193
The increasing volume and value of data is an important enabler for data science. In this study, we consider the event data, i.e. information on things that happen in organizations, machines, systems and people’s lives. Each event refers to a well-defined activity in a certain business process execution, the resource (i.e. person or device) executing or initiating the activity, the timestamp of the event, as well as to various data elements recorded with the event (e.g. the geo-location of an activity). Process mining aims to analyze event data, in order to mine knowledge that can contribute to improving a business process behavior. In particular, the focus of this study is on organizational mining, that is a sub-field of process mining that aims at understanding the life cycle of a dynamic organizational structure (i.e. a configuration of organization units) and the interactions among co-workers (resources) arising from the analysis of real-world event logs. The innovative contribution of this study is that the organizational mining goal is here achieved by combining concepts from process mining, stream mining and social network analysis. This combination is an original contribution of this study, not still explored in organizational mining field. In an assessment, benchmark event data are explored, in order to understand how the presented solution allows us to identify the life cycle a dynamic organizational structure. 相似文献
86.
Davide Forti Martina Bukac Annalisa Quaini Suncica Canic Simone Deparis 《Journal of scientific computing》2017,72(1):396-421
We study a nonlinear fluid–structure interaction (FSI) problem between an incompressible, viscous fluid and a composite elastic structure consisting of two layers: a thin layer (membrane) in direct contact with the fluid, and a thick layer (3D linearly elastic structure) sitting on top of the thin layer. The coupling between the fluid and structure, and the coupling between the two structures is achieved via the kinematic and dynamic coupling conditions modeling no-slip and balance of forces, respectively. The coupling is evaluated at the moving fluid–structure interface with mass, i.e., the thin structure. To solve this nonlinear moving-boundary problem in 3D, a monolithic, fully implicit method was developed, and combined with an arbitrary Lagrangian–Eulerian approach to deal with the motion of the fluid domain. This class of problems and its generalizations are important in e.g., modeling FSI between blood flow and arterial walls, which are known to be composed of several different layers, each with different mechanical characteristics and thickness. By using this model we show how multi-layered structure of arterial walls influences the pressure wave propagation in arterial walls, and how the presence of atheroma and the presence of a vascular device called stent, influence intramural strain distribution throughout different layers of the arterial wall. The detailed intramural strain distribution provided by this model can be used in conjunction with ultrasound B-mode scans as a predictive tool for an early detection of atherosclerosis (Zahnd et al. in IEEE international on ultrasonics symposium (IUS), pp 1770–1773, 2011). 相似文献
87.
88.
Annalisa Natali Murri Valentina Medri Elena Landi 《Journal of the American Ceramic Society》2017,100(7):2822-2831
Load‐bearing and thermal insulating wool waste/geopolymer composites with fire‐resistant properties were produced and characterized. Two formulations, with different amounts of wool fibers, corresponding in the final composites to about 23 vol% and 31 vol%, were tested. The composites exhibited an average density of 1.0 g/cm3, with a thermal conductivity of 0.2 W/mK, and compressive and flexural strength around 9 and 5 MPa, respectively. The flexural strength and fracture behavior were improved by the presence of the fibers, which promoted the onset of a toughening mechanism in the material. Results showed that a geopolymer matrix loaded with 23 vol% of wool fibers is suitable as flame‐resistant barrier, as reaction to fire is in class A2 (UNI‐EN 13501‐1), and as insulating structural partition in buildings because it ensures a consistent load‐bearing ability coupled with thermal insulating properties, similarly to other man‐made fiber products, with a considerable gain in terms of cost and environmental impact. 相似文献
89.
Influence of the operating conditions on the electrochemical disinfection process of natural waters at BDD electrodes 总被引:2,自引:0,他引:2
Simonetta Palmas Anna Maria Polcaro Annalisa Vacca Michele Mascia Francesca Ferrara 《Journal of Applied Electrochemistry》2007,37(11):1357-1365
Results are reported of an investigation of the oxidation products formed during electrolyses of aqueous solutions of NaCl,
in which the initial concentration of chloride ions was maintained at levels normally present in natural waters. The Design
of Experiments (DOE) technique has been used effectively to plan a framework of experiments, in which the main operative parameters:
current density, electrolyte stirring rate, and cell geometry, were varied at two levels. Their effects, as well as their
possible interactions have been evaluated on the yield of chloride oxidation and on the selectivity of the reaction towards
the formation of hypochlorite. 相似文献
90.
A probabilistic framework for multidisciplinary design: Application to the hydrostructural optimization of supercavitating hydrofoils
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Luca Bonfiglio Paris Perdikaris Jose del Águila George E. Karniadakis 《International journal for numerical methods in engineering》2018,116(4):246-269
The analysis and optimization of complex multiphysics systems presents a series of challenges that limit the practical use of computational tools. Specifically, the optimization of such systems involves multiple interconnected components with competing quantities of interest and high‐dimensional spaces and necessitates the use of costly high‐fidelity solvers to accurately simulate the coupled multiphysics. In this paper, we put forth a data‐driven framework to address these challenges leveraging recent advances in machine learning. We combine multifidelity Gaussian process regression and Bayesian optimization to construct probabilistic surrogate models for given quantities of interest and explore high‐dimensional design spaces in a cost‐effective manner. The synergistic use of these computational tools gives rise to a tractable and general framework for tackling realistic multidisciplinary optimization problems. To demonstrate the specific merits of our approach, we have chosen a challenging large‐scale application involving the hydrostructural optimization of three‐dimensional supercavitating hydrofoils. To this end, we have developed an automated workflow for performing multiresolution simulations of turbulent multiphase flows and multifidelity structural mechanics (combining three‐dimensional and one‐dimensional finite element results), the results of which drive our machine learning analysis in pursuit of the optimal hydrofoil shape. 相似文献