Assorbimento dell'acqua nel bambù strutturale: prove sperimentali e modellazione

I cambiamenti climatici in atto spingono sempre più verso l’utilizzo di materiali sostenibili, soprattutto in un settore che fortemente contribuisce alla spesa energetica e alle emissioni di gas come quello delle costruzioni. I vantaggi offerti dalla “bioedilizia” sono molteplici: riduzione degli sprechi di energia, delle emissioni di CO2, riduzione dei costi operativi e di costruzione, minore impatto ambientale, etc. Il materiale naturale studiato in questa tesi è il bambù, che ha importanti caratteristiche di rinnovabilità dovute alla sua velocità di crescita. I materiali naturali hanno però il problema della risposta alle azioni ambientali, che si annoverano tra le varie cause di degrado. In questa tesi si vuole studiare il comportamento del bambù a contatto con l’acqua. La prima parte è dedicata a test in laboratorio. Si è svolta infatti una campagna sperimentale con due diverse specie di bambù per osservare la loro risposta al contatto con l’acqua. Sono stati svolti dei test di immersione totale e parziale, su campioni aperti e chiusi a nodo chiuso. Per ogni campione, al termine di ciascuna immersione, sono state misurate massa e dimensioni. I principali risultati sono stati quindi il tracciamento dell’andamento delle masse, delle velocità e modalità di assorbimento, lo studio delle deformazioni e dei cambiamenti di forma. Le prove hanno mostrato la differenza di assorbimento del bambù fra parte interna e parte esterna dovute alla sua microstruttura. La seconda parte è stata incentrata sulla modellazione delle prove di laboratorio. In particolare, si sono modellati due provini della specie Edulis, uno aperto e uno chiuso a nodo chiuso, entrambi immersi totalmente. La modellazione è stata affrontata con un’analisi diffusiva e una successiva elastica, allo scopo di riprodurre, qualitativamente, la mappa delle concentrazioni nei campioni e le deformazioni. I risultati ottenuti mostrano caratteristiche simili a quelle riscontrate nelle prove in Laboratorio

Integration of Simulated Quantum Annealing in Parallel Tempering and Population Annealing for Heterogeneous-Profile QUBO Exploration

Simulated Quantum Annealing (SQA) is a heuristic algorithm which can solve Quadratic Unconstrained Binary Optimization (QUBO) problems by emulating the exploration of the solution space done by a quantum annealer. It mimics the quantum superposition and tunnelling effects through a set of correlated replicas of the spins system representing the problem to be solved and performing Monte Carlo steps. However, the effectiveness of SQA over a classical algorithm strictly depends on the cost/energy profile of the target problem. In fact, quantum annealing only performs well in exploring functions with high and narrow peaks, while classical annealing is better in overcoming flat and wide energy-profile barriers. Unfortunately, real-world problems have a heterogeneous solution space and the probability of success of each solver depends on the size of the energy profile region compatible with its exploration mechanism. Therefore, significant advantages could be obtained by exploiting hybrid solvers, which combine SQA and classical algorithms. This work proposes four new quantum-classical algorithms: Simulated Quantum Parallel Tempering (SQPT), Simulated Quantum Population Annealing (SQPA), Simulated Quantum Parallel Tempering - Population Annealing v1 (SQPTPA1) and Simulated Quantum Parallel Tempering - Population Annealing v2 (SQPTPA2). They are obtained by combining SQA, Parallel Tempering (PT), and Population Annealing (PA). Their results are compared with those provided by SQA, considering benchmark QUBO problems, characterized by different profiles. Even though this work is preliminary, the obtained results are encouraging and prove hybrid solvers’ potential in solving a generic optimization problem

Protein Alignment Systolic Array Throughput Optimization

Protein comparison is gaining importance year after year since it has been demonstrated that biologists can find cor- relation between different species, or genetic mutations that can lead to cancer and genetic diseases. Protein sequence alignment is the most computational intensive task when performing protein comparison. In order to speed-up alignment, dedicated processors that can perform different computations in parallel have been designed. Among them, the best performance have been achieved using Systolic Arrays. However, when the Processing Elements of the Systolic Array have an internal loop, performance could be highly reduced. In this work we present an architectural strategy to address this problem applying pipeline interleaving; this strategy is applied to a Systolic Array for Smith Waterman algorithm that we designed. Results encourage the adoption of pipeline interleaving for parallel circuits with loop based Processing Elements. We demonstrate that important benefits in terms of higher operating frequency can be derived without so relevant costs as increased complexity, area and power required

Metal Interactions in the Ni Hyperaccumulating Population of Noccaea caerulescens Monte Prinzera

Hyperaccumulation is a fascinating trait displayed by a few plant species able to accumulate large amounts of metal ions in above-ground tissues without symptoms of toxicity. Noccaea caerulescens is a recognized model system to study metal hyperaccumulation and hypertolerance. A N. caerulescens population naturally growing on a serpentine soil in the Italian Apennine Mountains, Monte Prinzera, was chosen for the study here reported. Plants were grown hydroponically and treated with different metals, in excess or limiting concentrations. Accumulated metals were quantified in shoots and roots by means of ICP-MS. By real-time PCR analysis, the expression of metal transporters and Fe deficiency-regulated genes was compared in the shoots and roots of treated plants. N. caerulescens Monte Prinzera confirmed its ability to hypertolerate and hyperaccumulate Ni but not Zn. Moreover, excess Ni does not induce Fe deficiency as in Ni-sensitive species and instead competes with Fe translocation rather than its uptake

REM Sleep and Endothermy: Potential Sites and Mechanism of a Reciprocal Interference

Numerous data show a reciprocal interaction between REM sleep and thermoregulation. During REM sleep, the function of thermoregulation appears to be impaired; from the other hand, the tonic activation of thermogenesis, such as during cold exposure, suppresses REM sleep occurrence. Recently, both the central neural network controlling REM sleep and the central neural network controlling thermoregulation have been progressively unraveled. Thermoregulation was shown to be controlled by a central "core" circuit, responsible for the maintenance of body temperature, modulated by a set of accessory areas. REM sleep was suggested to be controlled by a group of hypothalamic neurons overlooking at the REM sleep generating circuits within the brainstem. The two networks overlap in a few areas, and in this review, we will suggest that in such overlap may reside the explanation of the reciprocal interaction between REM sleep and thermoregulation. Considering the peculiar modulation of thermoregulation by REM sleep the result of their coincidental evolution, REM sleep may therefore be seen as a period of transient heterothermy

Towards Compact Modeling of Noisy Quantum Computers: A Molecular-Spin-Qubit Case of Study

Classical simulation of Noisy Intermediate Scale Quantum computers is a crucial task for testing the expected performance of real hardware. The standard approach, based on solving Schrödinger and Lindblad equations, is demanding when scaling the number of qubits in terms of both execution time and memory. In this article, attempts in defining compact models for the simulation of quantum hardware are proposed, ensuring results close to those obtained with standard formalism. Molecular Nuclear Magnetic Resonance quantum hardware is the target technology, where three non-ideality phenomena—common to other quantum technologies—are taken into account: decoherence, off-resonance qubit evolution, and undesired qubit-qubit residual interaction. A model for each non-ideality phenomenon is embedded into a MATLAB simulation infrastructure of noisy quantum computers. The accuracy of the models is tested on a benchmark of quantum circuits, in the expected operating ranges of quantum hardware. The corresponding outcomes are compared with those obtained via numeric integration of the Schrödinger equation and the Qiskit’s QASMSimulator. The achieved results give evidence that this work is a step forward towards the definition of compact models able to provide fast results close to those obtained with the traditional physical simulation strategies, thus paving the way for their integration into a classical simulator of quantum computers

Comparison of State and Parameter Estimators for Electric Vehicle Batteries

A Battery Management System (BMS) is needed to ensure a safe and effective operation of a Lithium-ion battery, especially in electric vehicle applications. An important function of a BMS is the reliable estimation of the battery state in a wide range of operating conditions. To this end, a BMS often uses an equivalent electrical model of the battery. Such a model is computationally affordable and can reproduce the battery behaviour in an accurate way, assuming that the model parameters are updated with the actual operating condition of the battery, namely its state-of-charge, temperature and ageing state. This paper compares the performance of two battery state and parameter estimation techniques, i.e., the Extended Kalman Filter and the classic Least Squares method in combination with the Mix algorithm. Compared to previous ones, this work focuses on the concurrent estimation of battery state and parameters using experimental data, measured on a Lithium-ion cell subject to a current profile significant for an electric vehicle application

Histologic and sonographic features of holmium laser in the treatment of chronic venous disease

A new holmium laser (HOL) has been introduced to the market. The device is able to reduce the great saphenous vein (GSV) caliber in a tumescence-free procedure, favoring an effective sclerotherapy of large vessels. Aim of the present investigation is to provide the first in vivo data about the effect of HOL on GSV histology

Cold exposure impairs dark-pulse capacity to induce REM sleep in the albino rat

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73940/1/j.1365-2869.2008.00658.x.pd

Myocardial fibrosis and steatosis in patients with aortic stenosis: roles of myostatin and ceramides

Aortic stenosis (AS) involves progressive valve obstruction and a remodeling response of the left ventriculum (LV) with systolic and diastolic dysfunction. The roles of interstitial fibrosis and myocardial steatosis in LV dysfunction in AS have not been completely characterized. We enrolled 31 patients (19 women and 12 men) with severe AS undergoing elective aortic valve replacement. The subjects were clinically evaluated, and transthoracic echocardiography was performed pre-surgery. LV septal biopsies were obtained to assess fibrosis and apoptosis and fat deposition in myocytes (perilipin 5 (PLIN5)), or in the form of adipocytes within the heart (perilipin 1 (PLIN1)), the presence of ceramides and myostatin were assessed via immunohistochemistry. After BMI adjustment, we found a positive association between fibrosis and apoptotic cardiomyocytes, as well as fibrosis and the area covered by PLIN5. Apoptosis and PLIN5 were also significantly interrelated. LV fibrosis increased with a higher medium gradient (MG) and peak gradient (PG). Ceramides and myostatin levels were higher in patients within the higher MG and PG tertiles. In the linear regression analysis, increased fibrosis correlated with increased apoptosis and myostatin, independent from confounding factors. After adjustment for age and BMI, we found a positive relationship between PLIN5 and E/A and a negative correlation between septal S', global longitudinal strain (GLS), and fibrosis. Myostatin was inversely correlated with GLS and ejection fraction. Fibrosis and myocardial steatosis altogether contribute to ventricular dysfunction in severe AS. The association of myostatin and fibrosis with systolic dysfunction, as well as between myocardial steatosis and diastolic dysfunction, highlights potential therapeutic targets