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Small heat shock protein B8:from cell functions to its involvement in diseases and potential therapeutic applications

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Neural Regeneration Research 2025年第10期20卷 2872-2886页

作者： Marta Chierichetti riccardo Cristofani Valeria Crippa Veronica Ferrari Marta Cozzi Elena Casarotto Paola Pramaggiore Laura Cornaggia Guglielmo Patelli Ali Mohamed Margherita Piccolella Mariarita Galbiati Paola Rusmini Barbara Tedesco Angelo Poletti Laboratory of Experimental Biology Dipartimento di Scienze Farmacologiche e Biomolecolari“Rodolfo Paoletti”(DiSFeB)Universitàdegli Studi di MilanoMilanItaly

Heat shock protein family B(small)member 8(HSPB8)is a 22 kDa ubiquitously expressed protein belonging to the family of small heat shock ***8 is involved in various cellular mechanisms mainly related to proteotoxic stress response and in other processes such as inflammation,cell division,and ***8 binds misfolded clients to prevent their aggregation by assisting protein refolding or degradation through chaperone-assisted selective *** line with this function,the pro-degradative activity of HSPB8 has been found protective in several neurodegenerative and neuromuscular diseases characterized by protein misfolding and *** cancer,HSPB8 has a dual role being capable of exerting either a pro-or an anti-tumoral activity depending on the pathways and factors expressed by the model of cancer under ***,HSPB8 exerts a protective function in different diseases by modulating the inflammatory response,which characterizes not only neurodegenerative diseases,but also other chronic or acute conditions affecting the nervous system,such as multiple sclerosis and intracerebellar *** note,HSPB8 modulation may represent a therapeutic approach in other neurological conditions that develop as a secondary consequence of other *** is the case of cognitive impairment related to diabetes mellitus,in which HSPB8 exerts a protective activity by assuring mitochondrial *** review aims to summarize the diverse and multiple functions of HSPB8 in different pathological conditions,focusing on the beneficial effects of its ***-based and alternative therapeutic approaches targeting HSPB8 and its regulated pathways will be discussed,emphasizing how new strategies for cell and tissue-specific delivery represent an avenue to advance in disease treatments.

关键词： aggregation autophagy cancer chaperone chaperone-assisted selective autophagy cognitive impairment HSPB8 neuroinflammation neuromuscular diseases therapy

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Improving Scalability of Cloud Monitoring Through PCA-Based Clustering of Virtual Machines

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Journal of Computer Science & Technology 2014年第1期29卷 38-52页

作者： Claudia Canali riccardo Lancellotti IEEE Department of Information Engineering University of Modena and Reggio Emilia ACM

Cloud computing has recently emerged as a leading paradigm to allow customers to run their applications in virtualized large-scale data centers. Existing solutions for monitoring and management of these infrastructures consider virtual machines （VMs） as independent entities with their own characteristics. However, these approaches suffer from scalability issues due to the increasing number of VMs in modern cloud data centers. We claim that scalability issues can bc addressed by leveraging the similarity among VMs behavior in terms of resource usage patterns. In this paper we propose an automated methodology to cluster VMs starting from the usage of multiple resources, assuming no knowledge of the services executed on them. The innovative contribution of the proposed methodology is the use of the statistical technique known as principal component analysis （PCA） to automatically select the most relevant information to cluster similar VMs. We apply the methodology to two case studies, a virtualized testbed and a real enterprise data center. In both case studies, the automatic data selection based on PCA allows us to achieve high performance, with a percentage of correctly clustered VMs between 80% and 100% even for short time series （1 day） of monitored data. Furthermore, we estimate the potential reduction in the amount of collected data to demonstrate how our proposal may address the scalability issues related to monitoring and management in cloud computing data centers.

关键词： cloud computing resource monitoring principal component analysis k-means clustering

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Comparing leaf area index estimates in a Mediterranean forest using field measurements, Landsat 8, and Sentinel-2 data

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Ecological Processes 2023年第1期12卷 402-414页

作者： Alessandro Sebastiani riccardo Salvati Fausto Manes Research Centre for Forestry and Wood(FL) Council for Agricultural Research and Economics(CREA)Via Valle Della Quistione 2700166 RomeItaly Research Institute On Terrestrial Ecosystems(IRET) National Research Council of Italy(CNR)Strada Provinciale 35d900015 Monterotondo(RM)Italy Presidential Estate of Castelporziano Via Pontina 69000128 RomeItaly Department of Environmental Biology Sapienza University of RomeP.Le Aldo Moro500185 RomeItaly

Background Leaf area index(LAI)is a key indicator for the assessment of the canopy’s processes such as net primary production and *** this reason,the LAI is often used as a key input parameter in ecosystem services’modeling,which is emerging as a critical tool for steering upcoming urban reforestation ***,LAI field measures are extremely time-consuming and require remarkable economic and human *** this context,spectral indices computed using high-resolution multispectral satellite imagery like Sentinel-2 and Landsat 8,may represent a feasible and economic solution for estimating the LAI at the city ***,as far as we know,only a few studies have assessed the potential of Sentinel-2 and Landsat 8 data doing so in Mediterranean forest *** fill such a gap,we assessed the performance of 10 spectral indices derived from Sentinel-2 and Landsat 8 data in estimating the LAI,using field measurements collected with the LI-COR LAI 2200c as a *** hypothesized that Sentinel-2 data,owing to their finer spatial and spectral resolution,perform better in estimating vegetation’s structural parameters compared to Landsat *** We found that Landsat 8-derived models have,on average,a slightly better performance,with the best model(the one based on NDVI)showing an R^(2) of 0.55 and NRMSE of 14.74%,compared to R^(2) of 0.52 and NRMSE of 15.15%showed by the best Sentinel-2 model,which is based on the *** models were affected by spectrum saturation for high LAI values(e.g.,above 5).Conclusion In Mediterranean ecosystems,Sentinel-2 and Landsat 8 data produce moderately accurate LAI estimates during the peak of the growing ***,the uncertainty introduced using satellite-derived LAI in ecosystem services’assessments should be systematically accounted for.

关键词： Mediterranean forest Leaf area index Field measurement Multispectral satellite imagery Sentinel-2 Landsat 8 Spectral vegetation index Global change

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New opportunities for light-based tumor treatment with an“iron fist”

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Light(Science & Applications) 2022年第4期11卷 457-459页

作者： riccardo Marin Erving Ximendes Daniel Jaque Nanomaterials for Bioimaging Group(NanoBIG) Departamento de Ffsica de MaterialesFacultad de CienciasUniversidad Aut6noma de MadridMadrid 28030Spain

The efficacy of photodynamic treatments of tumors can be significantly improved by using a new generation of nanoparticles that take advantage of the unique properties of the tumor microenvironment.

关键词： protective light treatment

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CFD Study of Ejector Flow Behavior in a Blast Furnace Gas Galvanizing Plant

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Journal of Thermal Science 2015年第1期24卷 58-66页

作者： Giorgio Besagni riccardo Mereu Fabio Inzoli Politecnico di Milano Department of EnergyVia Lambruschini 4 Milan 20156 Italy

In recent years, there has been a growing interest toward Blast Furnace Gas （BFG） as a low-grade energy source for industrial furnaces. This paper considers the revamping of a galvanic plant furnace converted to BFG from natural gas. In the design of the new system, the ejector on the exhaust line is a critical component. This paper studies the flow behavior of the ejector using a Computational Fluid Dynamics （CFD） analysis. The CFD model is based on a 3D representation of the ejector, using air and exhaust gases as working fluids. This paper is divided in three parts. In the first part, the galvanic plant used as case study is presented and discussed, in the second part the CFD approach is outlined, and in the third part the CFD approach is validated using experimental data and the numerical results are presented and discussed. Different Reynolds-Averaged Navier-Stokes （RANS） turbulence models （k-to SST and k-e Realizable） are evaluated in terms of convergence capability and accuracy in predicting the pressure drop along the ejector. Suggestions for future optimization of the system are also provided.

关键词： CFD Ejector Blast Furnace Gas Galvanic plant RANS Turbulence models

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Effect of acoustic field on C02 desorption in a fluidized bed of fine activated carbon

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Particuology 2015年第6期13卷 8-15页

作者： Federica Raganati Paola Ammendola riccardo Chirone Department of Chemical Engineering Materials and Industrial Production University of Naples Federico II P. le V. Tecchio 80 80125 Napoli Italy Istituto di Ricerche sulla Combustione CNR P. le K Tecchio 80 80125 Napoli Italy

Adsorption using solid sorbents has the potential to complement or replace current absorption technol- ogy, because of its low energy requirements. Among the commercially available adsorbent materials, attention is focused on activated carbons because they are easily regenerable by reason of their low heat of adsorption. These sorbents are generally available in the form of fine powders. Sound-assisted fluidization can process large amounts of fine powders, promoting and enhancing CO2 capture on fine sorbents, because it maximizes gas-solid contact. Temperature swing adsorption （TSA）, consisting of inducing sor- bent regeneration and CO2 recovery by appropriate temperature increase and gas purge, is one of the most promising techniques. This study investigates the CO2 desorption process by TSA in a sound-assisted flu- idized bed of fine activated carbon. Desorption tests were performed under ordinary and sound-assisted fluidization conditions to assess the capability of sound to promote and enhance the desorption efficiency in terms of CO2 recovery, CO2 purity, and desorption time. The results show that the application of sound results in higher desorption rates, CO2 recovery and purity. Regular and stable desorption profiles can be obtained under sound-assisted fluidization conditions. This stability makes it possible to successfully realize a cyclic adsorption/desorption process.

关键词： Temperature swing adsorption Sound-assisted fluidization CO2 capture Activated carbons Fine powders

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Defective autophagy and Alzheimer’s disease: is calcium the key?

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Neural Regeneration Research 2019年第12期14卷 2081-2082页

作者： riccardo Filadi Paola Pizzo Department of Biomedical Sciences University of Padua and Neuroscience Institute-Italian National Research Council (CNR)

Presenilins and autophagy: Presenilin 1 (PS1) and presenilin 2 (PS2) are homologous, multi-pass transmembrane proteins endowed with pleiotropic functions, ranging from the regulation of membrane trafficking to cell differentiation. Their catalytic activity within the γ-secretase complex, an aspartyl-protease responsible for the intramembrane cleavage of several different type I transmembrane proteins, has been intensively studied in the context of Alzheimer’s disease (AD). Indeed, tens of autosomal dominant mutations in the PSEN1 and PSEN2 genes (encoding PS1 and PS2, respectively) have been associated with the rare familial forms of AD (FAD).

关键词： Alzheimer is cell tens has PS1 PS2

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l_(1)-based calibration of POD-Galerkin models of two-dimensional unsteady flows

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Chinese Journal of Aeronautics 2021年第1期34卷 226-236页

作者： riccardo RUBINI Davide LASAGNA Andrea DA RONCH Faculty of Engineering and Physical Sciences University of SouthamptonSouthampton SO171BJUnited Kingdom

This paper discusses a physics-informed methodology aimed at reconstructing efficiently the fluid state of a ***,the generation of an accurate reduced order model of twodimensional unsteady flows from data leverages on sparsity-promoting statistical learning *** cornerstone of the approach is l_(1) regularised regression,resulting in sparselyconnected models where only the important quadratic interactions between modes are *** original dynamical behaviour is reproduced at low computational costs,as few quadratic interactions need to be *** approach has two key ***,interactions are selected systematically as a solution of a convex optimisation problem and no a priori assumptions on the physics of the flow are ***,the presence of a regularisation term improves the predictive performance of the original model,generally affected by noise and poor data *** cases are for two-dimensional lid-driven cavity flows,at three values of the Reynolds number for which the motion is chaotic and energy interactions are scattered across the *** is found that:(A)the sparsification generates models maintaining the original accuracy level but with a lower number of active coefficients;this becomes more pronounced for increasing Reynolds numbers suggesting that extension of these techniques to real-life flow configurations is possible;(B)sparse models maintain a good temporal stability for *** methodology is ready for more complex applications without modifications of the underlying theory,and the integration into a cyberphysical model is feasible.

关键词： Computational methods Dynamical systems Lid-driven cavity L_(1)-based regression Reduced order models Sparsification Stabilization of ROMs

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CFD modelling:The most useful tool for developing mesoscale urban canopy parameterizations

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Building Simulation 2021年第3期14卷 407-419页

作者： riccardo Buccolieri Jose Luis Santiago Alberto Martilli Dipartimento di Scienze e Tecnologie Biologiche edAmbientali University ofSalentoS.P.6 Lecce-MonteroniLecce 73700Italy Environment Department Research Center for EnergyEnvironment and Technology(CIEMAT)Madrid 28040Spain

1 Introduction The fact that most of the world’s population lives in cities(UN-Habitat 2016)has increased interest in urban *** models,such as the Weather Research and Forecasting(WRF)model(***/weather-research-and-forecasting-model),are used to reproduce the meteorology and climatology over cities and around them,where the complex interactions between the atmosphere and urban surfaces(buildings,vegetation,urban obstacles,etc.)induce strong heterogeneity in the flow properties within the urban canopy layer(UCL)(Di Sabatino et al.2013;Lateb et al.2016;Tominaga and Stathopoulos 2016).

关键词： meteorology urban forecasting

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Multimodal nonlinear microscopy: A powerful label-free method for supporting standard diagnostics on biological tissues

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Journal of Innovative Optical Health Sciences 2014年第5期7卷 1-16页

作者： riccardo Cicchi Francesco Saverio Pavone National Institute of Optics National Research Council(INO-CNR)Largo E.Fermi6 50125 FlorenceItaly European Laboratory for Nonlinear Spectroscopy(LENS)University of Florence Sesto FiorentinoItaly Department of Physics University of Florence Sesto FiorentinoItaly International Center of Computational Neurophotonics(ICON)Florence Italy

The large use of nonlinear laser scanning microscopy in the past decade paved the way forpot ential clinical application of this imaging *** nonlinear microscopy techniquesoffer promising label-free solutions to improve diagnostic performances on *** particular,the combination of multiple nonlinear imaging techniques in the same microscope allows inte-grating_morphological with functional information in a morpho-functional *** provides a high-resolution label-free alternative to both histological and immunohis-tochemicai examination of tissues and is becoming increasingly popular among the ***,several technical improvements,including automatic scanning andimage analysis,are required before the technique represents a standard diagnostic *** thisreview paper,we highlight the capabilit ies of multimodal nonlinear microscopy for tissue inaging,by providing various examples on colon,arterial and skin *** comparison between images acquired using multimodal nonlinear microscopy and histology shows a good agreement bet ween the two *** results demonstrate that multimodal nonlinear microscopy is apowerful label-free alternative to standard histopathological methods and has the potential tofind a stable place in the clinical setting in the near future.

关键词： Non-linear microscopy tissue imaging.

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