1,449 research outputs found

    Marson et al. 2005 - PDF

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    Access to "Marson, S., Fox, M.G., and Mandrak, N. 2006. Evaluating the Extent of Fish Movement through Recreational Boating Locks. Trent University Honours Thesis." via PD

    Marson et al. 2005 - PDF

    No full text
    Access to "Marson, S., Fox, M.G., and Mandrak, N. 2006. Evaluating the Extent of Fish Movement through Recreational Boating Locks. Trent University Honours Thesis." via PD

    Landscape in Spatial Planning: Some Evidence on Methodological Issues and Political Challenges

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    In recent decades, the landscape has given a new impulse to the renewal of spatial planning. This process has nevertheless raised several methodological issues about how to deal with sensitive non-functional aspects in spatial planning tools and procedures, as well as new challenges for policy design. Placemaking, landscape urbanism, and landscape planning do not differ just in scale but in their very idea of public/collective interest and the action that is required to reach them. Reflecting on some evidence from the recent Italian experience of landscape plans and policies, based on direct involvement in practice and academic debate, the author will highlight several main issues at stake today in this field. The conclusions will argue some potentially promising innovation perspectives, on both processes and contents regarding landscape-based spatial planning and policies, as well as some critical conditions of an institutional context

    Computational Alanine Scanning and Structural Analysis of the SARS-CoV-2 Spike Protein/Angiotensin-Converting Enzyme 2 Complex

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    The recent emergence of the pathogen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiological agent for the coronavirus disease 2019 (COVID-19), is causing a global pandemic that poses enormous challenges to global public health and economies. SARS-CoV-2 host cell entry is mediated by the interaction of the viral transmembrane spike glycoprotein (S-protein) with the angiotensin-converting enzyme 2 gene (ACE2), an essential counter-regulatory carboxypeptidase of the renin-angiotensin hormone system that is a critical regulator of blood volume, systemic vascular resistance, and thus cardiovascular homeostasis. Accordingly, this work reports an atomistic-based, reliable in silico structural and energetic framework of the interactions between the receptor-binding domain of the SARS-CoV-2 S-protein and its host cellular receptor ACE2 that provides qualitative and quantitative insights into the main molecular determinants in virus/receptor recognition. In particular, residues D38, K31, E37, K353, and Y41 on ACE2 and Q498, T500, and R403 on the SARS-CoV-2 S-protein receptor-binding domain are determined as true hot spots, contributing to shaping and determining the stability of the relevant protein-protein interface. Overall, these results could be used to estimate the binding affinity of the viral protein to different allelic variants of ACE2 receptors discovered in COVID-19 patients and for the effective structure-based design and development of neutralizing antibodies, vaccines, and protein/protein inhibitors against this terrible new coronavirus

    Well-posedness for general 2 x 2 conservation laws

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    We consider the Cauchy problem for a strictly hyperbolic 2×22\times 2 system of conservation laws in one space dimension % ut+[F(u)]x=0,u(0,x)=uˉ(x),(1) u_t+[F(u)]_x=0,\qquad\qquad u(0,x)=\bar u(x), \tag 1 % which is neither linearly degenerate nor genuinely non-linear. We make the following assumption on the characteristic fields. If ri(u), i=1,2,r_i(u), \ i=1,2, denotes the ii-th right eigenvector of DF(u)DF(u) and λi(u)\lambda_i(u) the corresponding eigenvalue, then the set {u:λiri(u)=0}\{u : \nabla \lambda_i \cdot r_i (u) = 0\} is a smooth curve in the uu-plane that is transversal to the vector field ri(u).r_i(u). Systems of conservation laws that fulfill such assumptions arise in studying elastodynamics or rigid heat conductors at low temperature. For such systems we prove the existence of a closed domain \ \Cal D \subset L^1, \ containing all functions with sufficiently small total variation, and of a uniformly Lipschitz continuous semigroup S:{\Cal D} \times [0,+\infty)\rightarrow \Cal D with the following properties. Each trajectory \ tStuˉt \mapsto S_t \bar u \ of SS is a weak solution of (1). Viceversa, if a piecewise Lipschitz, entropic solution u=u(t,x)u= u(t,x) of (1) exists for t[0,T],t \in [0,T], then it coincides with the trajectory of SS, i.e. u(t,)=Stuˉ.u(t,\cdot) = S_t \bar u. This result yields the uniqueness and continuous dependence of weak, entropy-admissible solutions of the Cauchy problem (1) with small initial data, for systems satysfying the above assumption

    A scoping review of neuromodulation techniques in neurodegenerative diseases: A useful tool for clinical practice?

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    Background and Objectives: Neurodegenerative diseases that typically affect the elderly such as Alzheimer’s disease, Parkinson’s disease and frontotemporal dementia are typically characterised by significant cognitive impairment that worsens significantly over time. To date, viable pharmaco-logical options for the cognitive symptoms in these clinical conditions are lacking. In recent years, var-ious studies have employed neuromodulation techniques to try and contrast patients’ decay. Materials and Methods: We conducted an in-depth literature review of the state-of-the-art of the contribution of these techniques across these neurodegenerative diseases. Results: The present review reports that neuromodulation techniques targeting cognitive impairment do not allow to draw yet any definitive conclusion about their clinical efficacy although preliminary evidence is very encouraging. Conclu-sions: Further and more robust studies should evaluate the potentialities and limitations of the application of these promising therapeutic tools to neurodegenerative diseases

    Fourth meeting on Hyperbolic Conservation Laws: Recent results and Research perspectives

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    The meeting consisted on conferences and short communications by italian researchers aimed to overview the status and perspectives of this areas of research in PDEs. There were also few foreign invited speakers that are among the leading experts in this area

    Flatness optimization of micro-injection moulded parts: the case of a PMMA microfluidic component

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    Micro-injection moulding (µ-IM) has attracted a lot of interest because of its potential for the production of low-cost, miniaturized parts in high-volume. Applications of this technology are, amongst others, microfluidic components for lab-on-a-chip devices and micro-optical components. In both cases, the control of the part flatness is a key aspect to maintaining the component's functionality. The objective of this work is to determine the factors affecting the flatness of a polymer part manufactured by µ-IM and to control the manufacturing process with the aim of minimizing the in-process part deformation. As a case study, a PMMA microfluidic substrate with overall dimensions of 10 mm diameter and 1 mm thickness was investigated by designing a µ-IM experiment having flatness as the experimental response. The part flatness was measured using a micro-coordinate measuring machine. Finite elements analysis was also carried out to study the optimal ejection pin configuration. The results of this work show that the control of the µ-IM process conditions can improve the flatness of the polymer part up to about 15 µm. Part flatness as low as 4 µm can be achieved by modifying the design of the ejection system according to suggested guideline

    Cationic Dendrimers for siRNA Delivery: Computational Approaches for Characterization

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    Nowadays, computer simulations have been established as a fundamental tool in the design and development of new dendrimer-based nanocarriers for drug and gene delivery. Moreover, the level of detail contained in the information that can be gathered by performing atomistic-scale simulations cannot be obtained with any other available experimental technique. In this chapter we describe the main computational toolbox that can be exploited in the different stages of novel dendritic nanocarrier production-from the initial conception to the stage of biological intermolecular interactions
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