Improving Computational Efficiency for Energy Management Systems in Plug-in Hybrid Electric Vehicles Using Dynamic Programming Based Controllers

Reducing computational time has become a critical issue in recent years, particularly in the transportation field, where the complexity of scenarios demands lightweight controllers to run large simulations and gather results to study different behaviors. This study proposes two novel formulations of the Optimal Control Problem (OCP) for the Energy Management System of a Plug-in Hybrid Electric Vehicle (PHEV) and compares their performance with a benchmark found in the literature. Dynamic Programming was chosen as the optimization algorithm to solve the OCP in a Matlab environment, using the DynaProg toolbox. The objective is to address the optimality of the fuel economy solution and computational time. In order to improve the computational efficiency of the algorithm, an existing formulation from the literature was modified, which originally utilized three control inputs. The approach involves leveraging the unique equations that describe the Input-Split Hybrid powertrain, resulting in a reduction of control inputs firstly to two and finally to one in the proposed solutions. The aforementioned formulations are referred to as 2-Controls and a 1-Control. Virtual tests were conducted to evaluate the performance of the two formulations. The simulations were carried out in various scenarios, including urban and highway driving, to ensure the versatility of the controllers. The results demonstrate that both proposed formulations achieve a reduction in computational time compared to the benchmark. The 2-Controls formulation achieved a reduction in computational time of approximately 40 times, while the 1-Control formulation achieved a remarkable reduction of approximately 850 times. These reductions in computational time were achieved while obtaining a maximum difference in fuel economy of approximately 1.5% for the 1-Control formulation with respect to the benchmark solution. Overall, this study provides valuable insights into the development of efficient and optimal controllers for PHEVs, which can be applied to various transportation scenarios. The proposed formulations reduce computational time without sacrificing the optimality of the fuel economy solution, making them a promising approach for future research in this area

Neutrophil elastase in bronchiectasis

The role of neutrophil elastase (NE) is poorly understood in bronchiectasis because of the lack of preclinical data and so most of the assumptions made about NE inhibitor potential benefit is based on data from CF. In this context, NE seems to be a predictor of long-term clinical outcomes and a possible target of treatment. In order to better evaluate the role of NE in bronchiectasis, a systematic search of scientific evidence was performed.Two investigators independently performed the search on PubMed and included studies published up to May 15, 2017 according to predefined criteria. A final pool of 31 studies was included in the systematic review, with a total of 2679 patients. For each paper data of interest were extracted and reported in table.In this review sputum NE has proved useful as an inflammatory marker both in stable state bronchiectasis and during exacerbations and local or systemic antibiotic treatment. NE has also been associated with risk of exacerbation, time to next exacerbation and all-cause mortality. This study reviews also the role of NE as a specific target of treatment in bronchiectasis. Inhibition of NE is at a very early stage and future interventional studies should evaluate safety and efficacy for new molecules and formulations

Is living in a household with children associated with SARS-CoV-2 seropositivity in adults? Results from the Swiss national seroprevalence study Corona Immunitas.

BACKGROUND We aimed to determine whether living in a household with children is associated with SARS-CoV-2 seropositivity in adults and investigated interacting factors that may influence this association. METHODS SARS-CoV-2 serology testing was performed in randomly selected individuals from the general population between end of October 2020 and February 2021 in 11 cantons in Switzerland. Data on sociodemographic and household characteristics, employment status, and health-related history was collected using questionnaires. Multivariable logistic regression was used to examine the association of living with children <18 years of age (number, age group) and SARS-CoV-2 seropositivity. Further, we assessed the influence of reported non-household contacts, employment status, and gender. RESULTS Of 2393 working age participants (18-64 years), 413 (17.2%) were seropositive. Our results suggest that living with children and SARS-CoV-2 seropositivity are likely to be associated (unadjusted odds ratio (OR) 1.22, 95% confidence interval [0.98-1.52], adjusted OR 1.25 [0.99-1.58]). A pattern of a positive association was also found for subgroups of children aged 0-11 years (OR 1.21 [0.90-1.60]) and 12-17 years (OR 1.14 [0.78-1.64]). Odds of seropositivity were higher with more children (OR 1.14 per additional child [1.02-1.27]). Men had higher risk of SARS-CoV-2 infection when living with children than women (interaction: OR 1.74 [1.10-2.76]). CONCLUSIONS In adults from the general population living with children seems associated with SARS-CoV-2 seropositivity. However, child-related infection risk is not the same for every subgroup and depends on factors like gender. Further factors determining child-related infection risk need to be identified and causal links investigated. TRIAL REGISTRATION https://www.isrctn.com/ISRCTN18181860

Is living in a household with children associated with SARS-CoV-2 seropositivity in adults? Results from the Swiss national seroprevalence study Corona Immunitas

BACKGROUND: We aimed to determine whether living in a household with children is associated with SARS-CoV-2 seropositivity in adults and investigated interacting factors that may influence this association. METHODS: SARS-CoV-2 serology testing was performed in randomly selected individuals from the general population between end of October 2020 and February 2021 in 11 cantons in Switzerland. Data on sociodemographic and household characteristics, employment status, and health-related history was collected using questionnaires. Multivariable logistic regression was used to examine the association of living with children <18 years of age (number, age group) and SARS-CoV-2 seropositivity. Further, we assessed the influence of reported non-household contacts, employment status, and gender. RESULTS: Of 2393 working age participants (18-64 years), 413 (17.2%) were seropositive. Our results suggest that living with children and SARS-CoV-2 seropositivity are likely to be associated (unadjusted odds ratio (OR) 1.22, 95% confidence interval [0.98-1.52], adjusted OR 1.25 [0.99-1.58]). A pattern of a positive association was also found for subgroups of children aged 0-11 years (OR 1.21 [0.90-1.60]) and 12-17 years (OR 1.14 [0.78-1.64]). Odds of seropositivity were higher with more children (OR 1.14 per additional child [1.02-1.27]). Men had higher risk of SARS-CoV-2 infection when living with children than women (interaction: OR 1.74 [1.10-2.76]). CONCLUSIONS: In adults from the general population living with children seems associated with SARS-CoV-2 seropositivity. However, child-related infection risk is not the same for every subgroup and depends on factors like gender. Further factors determining child-related infection risk need to be identified and causal links investigated

A Framework for Filtering News and Managing Distributed Data

: With the development and diffusion of the Internet worldwide connection, a large amount of information is available to the users. Methods of information filtering and fetching are then required. This paper presents two approaches. The first concerns the information filtering system ProFile based on an adaptation of the generalized probabilistic model of information retrieval. ProFile filters the netnews and uses a scale of 11 predefined values of relevance. ProFile allows the user to update on--line the profile and to check the discrepancy between the assessment and the prediction of relevance of the system. The second concerns ABIS, an intelligent agent for supporting users in filtering data from distributed and heterogeneous archives and repositories. ABIS minimizes user&apos;s effort in selecting the huge amount of available documents. The filtering engine memorizes both user preferences and past situations. ABIS compares documents with the past situations and finds the similarity scor..

Microbial nucleoside phosphorylases as efficient biocatalysts for the synthesis of antiviral and antitumoral nucleosides

Modified nucleosides, such as 5-fluoro-2'-deoxyuridine (Floxuridine),2',3'-dideoxyinosine (Didanosine), arabinosyladenine (Vidarabine), arabinosyl-2-fluoroadenine (Fludarabine), are important antiviral and antitumor agents. These nucleosides are routinely prepared by multi-step syntheses which negatively affect the outcome of the process in terms of yield, purity and costs and with an high environmental impact. Alternatively, nucleosides can be prepared via a one-pot enzymatic process catalyzed by nucleoside phosphorylases (NPs) in fully aqueous medium. NPs catalyze the phosphorolysis of a nucleoside leading to the formation of a sugar-1-phosphate; in presence of a second nucleobase, the enzyme can catalyze the synthesis of a new nucleoside (transglycosylation). However, due to the narrow substrate specificity of NPs, the number of compounds that can be prepared by this approach is limited. Aim of this study was to set up a collection of immobilized NPs characterized by different specificity towards variously modified nucleosides. The performance of known enzymes like thymidine phosphorylase (TP) from Escherichia coli and uridine phosphorylase (UP) from Bacillus subtilis were investigated; in addition, new NPs, selected by using a bioinformatic approach (phylogenetic and comparative analysis) or by microbiological screening, were considered. The most promising enzymes were immobilized by ionic or covalent binding and post-immobilization cross-linking was considered to achieve the multimeric structure stabilization. TP from E. coli and UP from B. subtilis efficiently synthesized 2'-deoxyribonucleosides; NPs from Clostridium perfringens, Aeromonas hydrophila and Citrobacter koseri were used for the synthesis of 2',3'-dideoxy- and arabino- nucleosides (Didanosine and Vidarabine). All the immobilized biocatalysts were stable at pH 10; in this condition, both substrates and products could be solubilized in high concentration, necessary to develop a preparative synthesis