122 research outputs found

    Development of a Pre-Driven Recovery Evaluation Program for Longwall Operations

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    Many longwall coordinators are examining the use of pre-driven recovery roadways. This method, if performed successfully can improve the overall efficiency and safety of moving longwall equipment from panel to panel. However, it is difficult to assess the feasibility of using predriven recovery unless extensive research is carried out or a consultant is used to analyse the particular situation. A number of previous case studies have been analysed to discover which parameters have the greatest influence on the success of pre-driven recovery. Floor strength, Coal Mine Roof Rating (CMRR), extraction depth, Roof Density Index (RDI), standing support and mining rate were the main parameters impacting on the successful implementation of pre-driven recovery roadways. These parameters have been incorporated into a program that was developed to assess the feasibility of using pre-driven recovery roadways. The Pre-driven Recovery Evaluation Program (PREP) is simple to operate and it will enable new longwall mining operations as well as current operations to quickly determine the suitability of the method to their site

    Development of probing strategies to investigate metabolic flux of biofuel production pathways in Clostridia

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    Currently, fossil fuels contribute a large number of high value chemicals that are used on a daily basis. Crude oil is cracked to give a number of high value chemicals, including vehicle fuels as well as chemicals and solvents that are used daily both commercially and industrially. However, fossil fuel reserves are in decline, with research going into alternatives to obtain these useful chemicals, one of which is biofuels. Biofuels can be generated in a number of ways, one of which is the fermentation of acetogenic bacteria, microorganisms that generate acetate as a product of anaerobic metabolism. Clostridium autoethanogenum is an acetogen that can grow on one carbon gases as its feedstock, and can be used to generate valuable chemicals, with scope to develop the range of metabolic products further. One aim of this project was to investigate the metabolic flux through pathways of the bacterium using isotopically labelled compounds, which would be assessed by mass spectrometry and NMR. Following on from this, design of inhibitors for the enzymes of the pathways with a view to drive the metabolic processes towards higher value chemical compounds by ‘switching off’ other branches of the pathway. Putative small molecule mimics of acetyl-CoA, SNAC thioesters, were synthesised and tested for uptake and activity in whole cell growth experiments with C. autoethanogenum, and determined to be unsuccessful. Further to this, compounds were designed and synthesised to replace pantothenic acid in the growth media, which were not tested in growth experiments. A library of inhibitor compounds was synthesised and tested against recombinantly purified acetate kinase. A number of compounds were shown to inhibit the enzyme, and the mode of inhibition was determined, as well as IC50 and Ki values for each. This project operated as part of a larger GASCHEM project in the Synthetic Biology Research Centre at the University of Nottingham

    Generating Instructions at Different Levels of Abstraction

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    When generating technical instructions, it is often convenient to describe complex objects in the world at different levels of abstraction. A novice user might need an object explained piece by piece, while for an expert, talking about the complex object (e.g. a wall or railing) directly may be more succinct and efficient. We show how to generate building instructions at different levels of abstraction in Minecraft. We introduce the use of hierarchical planning to this end, a method from AI planning which can capture the structure of complex objects neatly. A crowdsourcing evaluation shows that the choice of abstraction level matters to users, and that an abstraction strategy which balances low-level and high-level object descriptions compares favorably to ones which don't.Comment: Accepted COLING 2020 long pape

    Generating Instructions at Different Levels of Abstraction

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    An RNA toolbox for single-molecule force spectroscopy studies

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    Precise, controllable single-molecule force spectroscopy studies of RNA and RNA-dependent processes have recently shed new light on the dynamics and pathways of RNA folding and RNA-enzyme interactions. A crucial component of this research is the design and assembly of an appropriate RNA construct. Such a construct is typically subject to several criteria. First, single-molecule force spectroscopy techniques often require an RNA construct that is longer than the RNA molecules used for bulk biochemical studies. Next, the incorporation of modified nucleotides into the RNA construct is required for its surface immobilization. In addition, RNA constructs for single-molecule studies are commonly assembled from different single-stranded RNA molecules, demanding good control of hybridization or ligation. Finally, precautions to prevent RNase- and divalent cation-dependent RNA digestion must be taken. The rather limited selection of molecular biology tools adapted to the manipulation of RNA molecules, as well as the sensitivity of RNA to degradation, make RNA construct preparation a challenging task. We briefly illustrate the types of single-molecule force spectroscopy experiments that can be performed on RNA, and then present an overview of the toolkit of molecular biology techniques at one's disposal for the assembly of such RNA constructs. Within this context, we evaluate the molecular biology protocols in terms of their effectiveness in producing long and stable RNA constructs

    Whole genome sequence and manual annotation of Clostridium autoethanogenum, an industrially relevant bacterium

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    Clostridium autoethanogenum is an acetogenic bacterium capable of producing high value commodity chemicals and biofuels from the C1 gases present in synthesis gas. This common industrial waste gas can act as the sole energy and carbon source for the bacterium that converts the low value gaseous components into cellular building blocks and industrially relevant products via the action of the reductive acetyl-CoA (Wood-Ljungdahl) pathway. Current research efforts are focused on the enhancement and extension of product formation in this organism via synthetic biology approaches. However, crucial to metabolic modelling and directed pathway engineering is a reliable and comprehensively annotated genome sequence
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