THE FUTURE NOW: An adaptive tailor-made prefabricated Zero Energy Building

How much space do we need for living? In a backcast vision, the living scenario is inscribed in spaces for short stays, concentrates functions strictly necessary to the daily needs of its occupant, and takes the archetypal shape of the “refuge”, naturally inspired but technologically advanced. (Robinson 1982). The contribution proposes results of an experimental technological design con- ducted by the “ZEBtwdZEEB” research group of the University of Campania “L. Vanvitelli”, in collaboration with industrial partners, which led to the construction of a prototype of a zero energy building (3x3m single user residential unit), built with the innovative LGS Construction System in cold-formed steel. Various en- velope solutions, which ensure high energy performance, have been designed for it

Ligand-based and structure-based studies to develop predictive models for {SARS}-{CoV}-2 main protease inhibitors through the 3d-qsar.com portal

The main protease (M-pro) of SARS-Cov-2 is the essential enzyme for maturation of functional proteins implicated in viral replication and transcription. The peculiarity of its specific cleavage site joint with its high degree of conservation among all coronaviruses promote it as an attractive target to develop broad-spectrum inhibitors, with high selectivity and tolerable safety profile. Herein is reported a combination of three-dimensional quantitative structure-activity relationships (3-D QSAR) and comparative molecular binding energy (COMBINE) analysis to build robust and predictive ligand-based and structure-based statistical models, respectively. Models were trained on experimental binding poses of co-crystallized M-pro-inhibitors and validated on available literature data. By means of deep optimization both models' goodness and robustness reached final statistical values of r(2)/q(2) values of 0.97/0.79 and 0.93/0.79 for the 3-D QSAR and COMBINE approaches respectively, and an overall predictiveness values of 0.68 and 0.57 for the SDEP(PRED )and AAEP metrics after application to a test set of 60 compounds covered by the training set applicability domain. Despite the different nature (ligand-based and structure-based) of the employed methods, their outcome fully converged. Furthermore, joint ligand- and structure-based structure-activity relationships were found in good agreement with nirmatrelvir chemical features properties, a novel oral M-pro-inhibitor that has recently received U.S. FDA emergency use authorization (EUA) for the oral treatment of mild-to-moderate COVID-19 infected patients. The obtained results will guide future rational design and/or virtual screening campaigns with the aim of discovering new potential anti-coronavirus lead candidates, minimizing both time and financial resources. Moreover, as most of calculation were performed through the well-established web portal 3d-qsar.com the results confirm the portal as a useful tool for drug design.[GRAPHICS]

Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs

Nowadays, Vector-Borne Diseases (VBDs) raise a severe threat for public health, accounting for a considerable amount of human illnesses. Recently, several surveillance plans have been put in place for limiting the spread of such diseases, typically involving on-field measurements. Such a systematic and effective plan still misses, due to the high costs and efforts required for implementing it. Ideally, any attempt in this field should consider the triangle vectors-host-pathogen, which is strictly linked to the environmental and climatic conditions. In this paper, we exploit satellite imagery from Sentinel-2 mission, as we believe they encode the environmental factors responsible for the vector's spread. Our analysis - conducted in a data-driver fashion - couples spectral images with ground-truth information on the abundance of Culicoides imicola. In this respect, we frame our task as a binary classification problem, underpinning Convolutional Neural Networks (CNNs) as being able to learn useful representation from multi-band images. Additionally, we provide a multi-instance variant, aimed at extracting temporal patterns from a short sequence of spectral images. Experiments show promising results, providing the foundations for novel supportive tools, which could depict where surveillance and prevention measures could be prioritized

The Value and Sustainability of Ocrelizumab in Relapsing Multiple Sclerosis: A Cost-Effectiveness and Budget Impact Analysis

INTRODUCTION: The availability of ocrelizumab for the relapsing forms of multiple sclerosis (MS) in the Italian markets raised some questions about its economic impact and value compared to the alternative treatment options available.AIM: To assess the cost-effectiveness and budget impact of ocrelizumab compared to the most used second line disease modifying therapies (DMTs) in Italy.METHODS: The study was divided in two phases: Phase 1 – based on the development of a decision analytical Markov model to assess the cost-effectiveness of ocrelizumab compared to natalizumab and fingolimod, and Phase 2 – based on the development of a budget impact model to assess the economic impact of ocrelizumab in Italy. Both models used the National Health System perspective; a lifetime horizon was applied in the cost-effectiveness analysis and a 3-year time horizon in the budget impact. The cost-effectiveness analysis results were reported as incremental cost-effectiveness ratio (ICER) expressed as € per Quality Adjusted Life Year (QALY) gained, the budget impact analysis results were reported as difference in the overall budget (€) between a scenario with and without ocrelizumab.RESULTS: The two analyses reported ocrelizumab as a cost-effective option compared to natalizumab and fingolimod with a positive impact on the overall NHS budget. In the base-case analysis, the ICER was € 2,023 for ocrelizumab compared to fingolimod; while ocrelizumab resulted cost-saving compared to natalizumab. The sensitivity analysis confirmed the base-case analysis results. Further, the use of ocrelizumab was associated to a budget decrease of € 21 million (-2.6%) in a 3-year time horizon.CONCLUSION: The results of our cost-effectiveness and budget impact models reported ocrelizumab as an effective and efficient treatment in patients with relapsing forms of MS who failed a first line DMTs from the Italian NHS perspective

Cyto/Biocompatibility of Dopamine Combined with the Antioxidant Grape Seed-Derived Polyphenol Compounds in Solid Lipid Nanoparticles

none10The loss of nigrostriatal neurons containing dopamine (DA) together with the “mitochondrial dysfunction” in midbrain represent the two main causes related to the symptoms of Parkinson’s disease (PD). Hence, the aim of this investigation is to co-administer the missing DA and the antioxidant grape seed-derived proanthocyanidins (grape seed extract, GSE) in order to increase the levels of the neurotransmitter (which is unable to cross the Blood Brain Barrier) and reducing the oxidative stress (OS) related to PD, respectively. Methods: For this purpose, we chose Solid Lipid Nanoparticles (SLN), because they have been already proven to increase DA uptake in the brain. DA-SLN adsorbing GSE (GSE/DA-SLN) were formulated and subjected to physico-chemical characterization, and their cytocompatibility and protection against OS were examined. Results: GSE was found on SLN surface and release studies evidenced the efficiency of GSE in preventing DA autoxidation. Furthermore, SLN showed high mucoadhesive strength and were found not cytotoxic to both primary Olfactory Ensheathing and neuroblastoma SH-SY5Y cells by MTT test. Co-administration of GSE/DA-SLN and the OS-inducing neurotoxin 6-hydroxydopamine (100 μM) resulted in an increase of SH-SY5Y cell viability. Conclusions: Hence, SLN formulations containing DA and GSE may constitute interesting candidates for non-invasive nose-to-brain delivery.openAdriana Trapani, Lorenzo Guerra, Filomena Corbo, Stefano Castellani, Enrico Sanna, Loredana Capobianco, Anna Grazia Monteduro, Daniela Erminia Manno, Delia Mandracchia, Sante Di Gioia and Massimo ConeseTrapani, Adriana; Guerra, Lorenzo; Corbo, Filomena; Castellani, Stefano; Sanna, Enrico; Capobianco, Loredana; Monteduro, ANNA GRAZIA; Manno, Daniela Erminia; Mandracchia, Delia; Di Gioia and Massimo Conese, Sant

Intraspecies Transmission of BASE Induces Clinical Dullness and Amyotrophic Changes

The disease phenotype of bovine spongiform encephalopathy (BSE) and the molecular/ biological properties of its prion strain, including the host range and the characteristics of BSE-related disorders, have been extensively studied since its discovery in 1986. In recent years, systematic testing of the brains of cattle coming to slaughter resulted in the identification of at least two atypical forms of BSE. These emerging disorders are characterized by novel conformers of the bovine pathological prion protein (PrPTSE), named high-type (BSE-H) and low-type (BSE-L). We recently reported two Italian atypical cases with a PrPTSE type identical to BSE-L, pathologically characterized by PrP amyloid plaques and known as bovine amyloidotic spongiform encephalopathy (BASE). Several lines of evidence suggest that BASE is highly virulent and easily transmissible to a wide host range. Experimental transmission to transgenic mice overexpressing bovine PrP (Tgbov XV) suggested that BASE is caused by a prion strain distinct from the BSE isolate. In the present study, we experimentally infected Friesian and Alpine brown cattle with Italian BSE and BASE isolates via the intracerebral route. BASE-infected cattle developed amyotrophic changes accompanied by mental dullness. The molecular and neuropathological profiles, including PrP deposition pattern, closely matched those observed in the original cases. This study provides clear evidence of BASE as a distinct prion isolate and discloses a novel disease phenotype in cattle

Why High-Performance Modelling and Simulation for Big Data Applications Matters

Modelling and Simulation (M&S) offer adequate abstractions to manage the complexity of analysing big data in scientific and engineering domains. Unfortunately, big data problems are often not easily amenable to efficient and effective use of High Performance Computing (HPC) facilities and technologies. Furthermore, M&S communities typically lack the detailed expertise required to exploit the full potential of HPC solutions while HPC specialists may not be fully aware of specific modelling and simulation requirements and applications. The COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications has created a strategic framework to foster interaction between M&S experts from various application domains on the one hand and HPC experts on the other hand to develop effective solutions for big data applications. One of the tangible outcomes of the COST Action is a collection of case studies from various computing domains. Each case study brought together both HPC and M&S experts, giving witness of the effective cross-pollination facilitated by the COST Action. In this introductory article we argue why joining forces between M&S and HPC communities is both timely in the big data era and crucial for success in many application domains. Moreover, we provide an overview on the state of the art in the various research areas concerned

Development of a Nomogram Predicting the Risk of Persistence/Recurrence of Cervical Dysplasia

Background: Cervical dysplasia persistence/recurrence has a great impact on women's health and quality of life. In this study, we investigated whether a prognostic nomogram may improve risk assessment after primary conization. Methods: This is a retrospective multi-institutional study based on charts of consecutive patients undergoing conization between 1 January 2010 and 31 December 2014. A nomogram assessing the importance of different variables was built. A cohort of patients treated between 1 January 2015 and 30 June 2016 was used to validate the nomogram. Results: A total of 2966 patients undergoing primary conization were analyzed. The median (range) patient age was 40 (18-89) years. At 5-year of follow-up, 6% of patients (175/2966) had developed a persistent/recurrent cervical dysplasia. Median (range) recurrence-free survival was 18 (5-52) months. Diagnosis of CIN3, presence of HR-HPV types, positive endocervical margins, HPV persistence, and the omission of HPV vaccination after conization increased significantly and independently of the risk of developing cervical dysplasia persistence/recurrence. A nomogram weighting the impact of all variables was built with a C-Index of 0.809. A dataset of 549 patients was used to validate the nomogram, with a C-index of 0.809. Conclusions: The present nomogram represents a useful tool for counseling women about their risk of persistence/recurrence after primary conization. HPV vaccination after conization is associated with a reduced risk of CIN2+