1,022 research outputs found

    Strategic planning in public transport

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    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 1995.Includes bibliographical references (leaves 188-191).by Lucy Nicola Shaw.M.S

    Studies of dye sensitised photovoltaic cells

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    SIGLEAvailable from British Library Document Supply Centre-DSC:DXN029715 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

    Interactome comparison of human embryonic stem cell lines with the inner cell mass and trophectoderm

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    Networks of interacting co-regulated genes distinguish the inner cell mass (ICM) from the differentiated trophectoderm (TE) in the preimplantation blastocyst, in a species specific manner. In mouse the ground state pluripotency of the ICM appears to be maintained in murine embryonic stem cells (ESCs) derived from the ICM. This is not the case for human ESCs. In order to gain insight into this phenomenon, we have used quantitative network analysis to identify how similar human (h)ESCs are to the human ICM. Using the hESC lines MAN1, HUES3 and HUES7 we have shown that all have only a limited overlap with ICM specific gene expression, but that this overlap is enriched for network properties that correspond to key aspects of function including transcription factor activity and the hierarchy of network modules. These analyses provide an important framework which highlights the developmental origins of hESCs

    INCHEM-Py : An open source Python box model for indoor air chemistry

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    The INdoor CHEMical model in Python (INCHEM-Py) is an open source box model that creates and solves a system of coupled Ordinary Differential Equations (ODEs) to provide predicted concentrations of indoor air pollutants through time. It is a refactor of the indoor detailed chemical model originally developed by Carslaw (20017) with improvements in form, function, and accessibility. INCHEM-Py takes the Master Chemical Mechanism (MCM), a near explicit mechanism developed for atmospheric chemistry, and additional chemical mechanisms that have been developed specifically for indoor air. These include gas-to-particle partitioning for three of the commonly encountered terpenes indoors (limonene and alpha- and beta-pinene), improved photolysis parametrisation, indoor-outdoor air exchange, and deposition to surfaces. Typical usage of INCHEM-Py is either alongside experiment, where it can be used to gain a deeper insight into the chemistry through its ability to track a vast array of species concentrations or as a stand-alone method of investigating chemical events that occur indoors over a range of conditions. INCHEM-Py is open source, has no black box processes, and all inputs can be tracked through the model allowing for complete understanding of the system. A wide array of outputs from the model can be accessed, including species concentrations, species reactivity and production rates, photolysis values, and summations such as the total peroxy radical concentration. Custom reactions and summations can also be added by users to tailor the model to specific indoor scenarios. A full pdf manual is included within this repository, including a quick start guide, this README is not intended to cover every aspect of INCHEM-Py but should be sufficient for users to get started. A copy of the GNU General Public License v3.0 under which this project is licenced is included in this repository.This work is funded by a grant from the Alfred P. Sloan Foundation, grant number 2018-10083. Conclusions reached or positions taken by researchers or other grantees represent the views of the grantees themselves and not those of the Alfred P. Sloan Foundation or its trustees, officers, or staff

    Understanding the use of geographical information systems (GIS) in health informatics research: A review

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    Background: The purpose of this literature review is to understand geographical information systems (GIS) and how they can be applied to public health informatics, medical informatics, and epidemiology.Method: Relevant papers that reflected the use of geographical information systems (GIS) in health research were identified from four academic databases: Academic Search Complete, BioMed Central, PubMed Central, and Scholars Portal, as well as Google Scholar. The search strategy used was to identify articles with “geographic information systems”, “GIS”, “public health”, “medical informatics”, “epidemiology”, and “health geography” as main subject headings or text words in titles and abstracts. Papers published between 1997 and 2014 were considered and a total of 39 articles were included to inform the authors on the use of GIS technologies in health informatics research.Results: The main applications of GIS in health informatics and epidemiology include disease surveillance, health risk analysis, health access and planning, and community health profiling. GIS technologies can significantly improve quality and efficiency in health research as substantial connections can be made between a population’s health and their geographical location.Conclusions: Gains in health informatics can be made when GIS are applied through research, however, improvements need to occur in the quantity and quality of data input for these systems to ensure better geographical health maps are used so that proper conclusions between public health and environmental factors may be made

    Uranyl to Uranium(IV) Conversion through Manipulation of Axial and Equatorial Ligands

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    The controlled manipulation of the axial oxo and equatorial halide ligands in the uranyl dipyrrin complex, UO2Cl(L), allows the uranyl reduction potential to be shifted by 1.53 V into the range accessible to naturally occurring reductants that are present during uranium remediation and storage processes. Abstraction of the equatorial halide ligand to form the uranyl cation causes a 780 mV positive shift in the UV/UIV reduction potential. Borane functionalization of the axial oxo groups causes the spontaneous homolysis of the equatorial U–Cl bond and a further 750 mV shift of this potential. The combined effect of chloride loss and borane coordination to the oxo groups allows reduction of UVI to UIV by H2 or other very mild reductants such as Cp*2Fe. The reduction with H2 is accompanied by a B–C bond cleavage process in the oxo-coordinated borane
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