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Activity-dependent mechanisms of neuroprotection:promising avenues against dementia

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Neural Regeneration Research 2024年第7期19卷 1409-1410页

作者： davide Tampellini U1195 INSERM-UniversitéParis-Saclay Le Kremlin-BicêtreFrance Institut Professeur Baulieu Le Kremlin-BicêtreFrance

The study of the brain and its complex functions is highly fascinating and,at the same time,extremely ***,furthering our understanding of the biology of neurons and synapses is a prerequisite to uncover the mechanisms involved in memory formation and the coordination of movement as well as their alterations occurring in several neurological disorders.

关键词： alterations mechanisms neurological

Friction and wear performance of polyether ether ketone(PEEK)polymers in three lubrication regimes

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Friction 2024年第4期12卷 670-682页

作者： davide MASSOCCHI Nora LECIS Marco LATTUADA davide SCAGLIA Steven CHATTERTON Paolo PENNACCHI Department of Mechanical Engineering Politecnico di MilanoMilan 20156Italy Eni SpA Downstream product R&DLombardia 20097Italy Eurobearings S.R.L. Lombardia 29016Italy

This experimental study investigates the friction and wear of three coatings commonly used in industrial applications,particularly in hydrodynamic *** three materials under investigation were Babbitt,polyether ether ketone(PEEK)reinforced with 15%carbon fibers,and PEEK reinforced with 20%carbon *** first polymer material was extruded,while the other was produced by fused deposition modelling(FDM).The materials were subjected to sliding tests in a pin-on-disc configuration,with a steel ball serving as the counter *** tests were conducted at room temperature,with a load of 10 N and under three different lubrication conditions:dry,grease,and *** linear speed was set at 0.3 m/s for the dry and semi-solid lubrication tests,while for the oil tests,the speed was set at 0.25 m/*** greases used had consistency grades of NGLI 000 and NGLI *** ISO VG 68 circulation oil was used for the oil lubrication ***,thermodynamic analyses were performed under the most severe conditions(i.e.,dry)to investigate the steel-Babbitt and steel-PEEK contact.

关键词： hydrodynamic bearings polyether ether ketone(PEEK)polymers additive manufacturing grease lubrication sliding oil lubrication ball-on-disk tribology

Influence of aging,mitochondrial dysfunction,and inflammation on Parkinson's disease

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Neural Regeneration Research 2024年第6期19卷 1197-1198页

作者： davide Cossu Nobutaka Hattori Department of Neurology Juntendo UniversityTokyoJapan Department of Biomedical Sciences Sassari UniversitySassariItaly

Aging is associated with chronic form of inflammation called inflammaging,which results from immune system *** plays a crucial role in the pathogenesis of various neurodegenerative diseases(Dabravolski et al.,2022).Mo... 详细信息

关键词： inflammation aging

An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems

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Building Simulation 2024年第5期17卷 739-770页

作者： davide Coraci Silvio Brandi Tianzhen Hong Alfonso Capozzoli Politecnico di Torino Department of EnergyTEBE research groupBAEDA Lab.Corso Duca degli Abruzzi 24Torino10129Italy Building Technology and Urban Systems Division Lawrence Berkeley National LaboratoryOne Cyclotron RoadBerkeleyCA 94720USA

Deep Reinforcement Learning(DRL)-based control shows enhanced performance in the management of integrated energy systems when compared with Rule-Based Controllers(RBCs),but it still lacks scalability and generalisation due to the necessity of using tailored models for the training *** Learning(TL)is a potential solution to address this ***,existing TL applications in building control have been mostly tested among buildings with similar features,not addressing the need to scale up advanced control in real-world scenarios with diverse energy *** paper assesses the performance of an online heterogeneous TL strategy,comparing it with RBC and offline and online DRL controllers in a simulation setup using EnergyPlus and *** study tests the transfer in both transductive and inductive settings of a DRL policy designed to manage a chiller coupled with a Thermal Energy Storage(TES).The control policy is pre-trained on a source building and transferred to various target buildings characterised by an integrated energy system including photovoltaic and battery energy storage systems,different building envelope features,occupancy schedule and boundary conditions(e.g.,weather and price signal).The TL approach incorporates model slicing,imitation learning and fine-tuning to handle diverse state spaces and reward functions between source and target *** show that the proposed methodology leads to a reduction of 10% in electricity cost and between 10% and 40% in the mean value of the daily average temperature violation rate compared to RBC and online DRL ***,online TL maximises self-sufficiency and self-consumption by 9% and 11% with respect to ***,online TL achieves worse performance compared to offline DRL in either transductive or inductive ***,offline Deep Reinforcement Learning(DRL)agents should be trained at least for 15 episodes to reach the same level of performance as the online

关键词： transfer learning reinforcement learning building control building energy management

Novel emphasis on somatostatinergic system in retinal ganglion cell neuroresilience

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Neural Regeneration Research 2024年第1期19卷 148-149页

作者： Elisabetta Catalani davide Cervia Department for Innovation in Biological Agro-food and Forest Systems(DIBAF)Universitàdegli Studi della Tuscialargo dell’UniversitàsncViterboItaly

The neuromodulatory peptide somatostatin(somatotropin release inhibiting factor,SRIF)-14 acts at multiple levels through five SRIF receptor subtypes(sst1 to sst5).SRIF-28 is also derived from a common propeptide translated from a single SRIF gene,although SRIF-14 is the predominant form in the mammalian nervous *** to its short half-life,synthetic SRIF analogs have been developed over the years and are available for therapeutic approaches.

关键词： life system predominant

Pin-on-disc tribological characterization of single ingredients used in a brake pad friction material

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Friction 2024年第11期12卷 2576-2593页

作者： davide CARLEVARIS Francesco VARRIALE Jens WAHLSTRÖM Cinzia MENAPACE Department of Industrial Engineering University of TrentoTrento 38123Italy Brembo S.p.A StezzanoBergamo 24040Italy Department of Mechanical Engineering Sciences Lund UniversityLund 22100Sweden

Researchers have long been studying the effects of the modification of friction material compositions on their tribological *** models have also been developed,but they are of limited use in the design of new ***,this research aims to investigate the tribological behaviour of single ingredients in friction materials to develop a tribological *** dataset could then be used as a foundation for a cellular automaton(CA)predictive model,intended to be a tool for designing friction *** samples were almost entirely composed of four distinct friction material ingredients,and one sample composed of their mixture was successfully ***-on-disc(PoD)tribometer testing and scanning electron microscopy/energy-dispersive X-ray spectroscopy(SEM/EDXS)analysis were used for the tribological *** material showed distinct tribological properties and evolution of the contact surface features,and the synergistic effect of their mutual interaction was also demonstrated by their mixture.

关键词： disc brakes sliding contact wear behaviour scanning electron microscopy(SEM) modelling

Navigating the autophagic landscape:Epigenetic modulation in gastrointestinal cancer

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World Journal of Gastroenterology 2024年第31期30卷 3628-3634页

作者： davide Ramoni Federico Carbone Fabrizio Montecucco Department of Internal Medicine University of GenoaGenoa 16132Italy Department of Internal Medicine University of Genoa and IRCSS Policlinico San MartinoGenoa 16132Italy

This editorial comments on the manuscript by Chang et al,focusing on the still elusive interplay between epigenetic regulation and autophagy in gastrointestinal diseases,particularly ***,essential for cellular homeostasis,exhibits diverse functions ranging from cell survival to death,and is particularly implicated in physiological gastrointestinal cell ***,its role in pathological backgrounds remains intricate and *** underscore the dual nature of autophagy in cancer,where its early suppressive effects in early stages are juxtaposed with its later promotion,contributing to *** discrepancy is attributed to the dysregulation of autophagy-related genes and their intricate involvement in cellular *** modifications and regulations of gene expression,including non-coding RNAs(ncRNAs),emerge as critical players in exerting regulatory control over autophagy flux,influencing treatment responses and tumor *** epigenetic mechanisms and improving strategies involving the inhibition or induction of autophagy through pharmacological or genetic means present potential avenues to sensitize tumor cells to ***,nanocarrier-based delivery of ncRNAs offers innovative therapeutic *** the intricate interaction between autophagy and ncRNA regula-tion opens avenues for the development of targeted therapies,thereby improving the prognosis of gastrointestinal malignancies with poor outcomes.

关键词： Epigenetic regulation Autophagy Gastrointestinal cancer Non-coding RNAs Target therapies

Digital twin-and extended reality-based telepresence for collaborative robot programming in the 6G perspective

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Digital Communications and Networks 2024年第2期10卷 315-327页

作者： davide Calandra F.Gabriele Pratticò Alberto Cannavò Claudio Casetti Fabrizio Lamberti Politecnico di Torino Department of Control and Computer EngineeringCorso Duca Degli Abruzzi2410129TurinItaly

In the context of Industry 4.0,a paradigm shift from traditional industrial manipulators to Collaborative Robots(CRs)is ongoing,with the latter serving ever more closely humans as auxiliary tools in many production *** this scenario,continuous technological advancements offer new opportunities for further innovating robotics and other areas of next-generation *** example,6G could play a prominent role due to its human-centric view of the industrial *** particular,its expected dependability features will pave the way for new applications exploiting highly effective Digital Twin(DT)-and eXtended Reality(XR)-based *** this work,a novel application for the above technologies allowing two distant users to collaborate in the programming of a CR is *** approach encompasses demanding data flows(e.g.,point cloud-based streaming of collaborating users and robotic environment),with network latency and bandwidth *** obtained by analyzing this approach from the viewpoint of network requirements in a setup designed to emulate 6G connectivity indicate that the expected performance of forthcoming mobile networks will make it fully feasible in principle.

关键词： 6G Digital twin Telepresence Collaborative robots Industry 4.0 Augmented reality Virtual reality Point cloud streaming

Extending OpenStack Monasca for Predictive Elasticity Control

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Big Data Mining and Analytics 2024年第2期7卷 315-339页

作者： Giacomo Lanciano Filippo Galli Tommaso Cucinotta davide Bacciu Andrea Passarella Scuola Normale Superiore Pisa 56126Italy the Real-Time Systems Laboratory(RETIS) TelecommunicationsComputer Engineeringand Photonics Institute(TeCIP)Scuola Superiore Sant’AnnaPisa 56127Italy Department of Computer Science University of PisaPisa 56127Italy National Research Council Pisa56127Italy

Traditional auto-scaling approaches are conceived as reactive automations,typically triggered when predefined thresholds are breached by resource consumption *** such rules at scale is cumbersome,especially when resources require non-negligible time to be *** paper introduces an architecture for predictive cloud operations,which enables orchestrators to apply time-series forecasting techniques to estimate the evolution of relevant metrics and take decisions based on the predicted state of the *** this way,they can anticipate load peaks and trigger appropriate scaling actions in advance,such that new resources are available when *** proposed architecture is implemented in OpenStack,extending the monitoring capabilities of Monasca by injecting short-term forecasts of standard *** use our architecture to implement predictive scaling policies leveraging on linear regression,autoregressive integrated moving average,feed-forward,and recurrent neural networks(RNN).Then,we evaluate their performance on a synthetic workload,comparing them to those of a traditional *** assess the ability of the different models to generalize to unseen patterns,we also evaluate them on traces from a real content delivery network(CDN)*** particular,the RNN model exhibites the best overall performance in terms of prediction error,observed client-side response latency,and forecasting *** implementation of our architecture is open-source.

关键词： OpenStack monitoring elasticity control auto-scaling predictive operations Monasca