Innovative Hybridisation of Genetic Algorithms and Neural Networks in Detecting Marker Genes for Leukaemia Cancer

Methods for extracting marker genes that trigger the growth of cancerous cells from a high level of complexity microarrays are of much interest from the computing community. Through the identified genes, the pathology of cancerous cells can be revealed and early precaution can be taken to prevent further proliferation of cancerous cells. In this paper, we propose an innovative hybridised gene identification framework based on genetic algorithms and neural networks to identify marker genes for leukaemia disease. Our approach confirms that high classification accuracy does not ensure the optimal set of genes have been identified and our model delivers a more promising set of genes even with a lower classification accurac

Laundromax: An Entrepreneurial Business Case Study

The decade of the 1990s was a golden era for entrepreneurship in the United States.  The economy was flourishing, and the “dot com” boom fueled unparalleled private equity investment throughout the decade.  Start-up companies abounded, especially in the technology industry, and there seemed to be an insatiable appetite for investment in emerging and developing companies.

Evaluation of a portable mixer and feed delivery system

An on-farm mixer uniformity study was conducted to determine if feed could be properly mixed and maintained as it went through a bulk bin and conveying equipment over a distance of 180 ft. in a grower-finisher facility. A portable vertical mixer was tested and found to produced a uniformly mixed feed. Uniform feed was then conveyed from a bulk storage bin to feeders inside the facility. Samples were obtained from three different feeders and were tested for uniformity. Results indicate that feed remains uniform as it is conveyed and deposited in feeders over distances of 20, 80, and 180 ft.; Swine Day, Manhattan, KS, November 21, 199

Crown Radius and Diameter at Breast Height Relationships for Six Bottomland Hardwood Species

The relationship between a tree\u27s crown radius and diameter at breast height (DBH) has a variety of uses including forest competition studies, tree crown densities, spacing and stocking relationships, wildlife habitat suitability models, and tree volume estimations. Estimating DBH from mean crown radius (MCR) is of interest to natural resource managers because MCR can be estimated from high resolution digital imagery using remote sensing techniques. DBH is a common tree dimensional characteristic that is used to quantify tree and stand structure. This research presents MCR/DBH and DBH/MCR relationships for boxelder (Acer negundo L.), sweet pecan (Carya illinoensis (Wang) K.Koch), sugarberry (Celtis laevigata Willd.), green ash (Fraxinus pennsylvanica Marsh.), Nuttall oak (Quercus nuttallii Palmer), and American elm (Ulmus americana L.). The linear model, y =a+b * x, provided the best model fit with adjusted r values of 0.567 to 0.855 for the 6 species. Crown radius can be determined from digital imagery and then used to predict DBH

A sensitive 301V BSE serial PMCA assay

The prion strain 301V, is a mouse passaged form of bovine spongiform encephalopathy (BSE). It has been used as a model of BSE for more than 20 years, in particular in the investigation of tissue distribution of infectivity, the molecular phenotype and transmission properties of BSE, strain typing assays and prion inactivation studies. Most 301V experiments have required murine bioassay as a method for the quantitation of infectivity. To date this model strain has not been studied with the protein misfolding cyclic amplification assay (PMCA) which detects prion-associated PrPSc protein. The detection of BSE PrPSc by PMCA can be more sensitive than mouse bioassay and is carried out in a much shorter time frame of days as opposed to months/years. Here, we describe the development of a new highly sensitive and specific PMCA assay for murine 301V and assess the sensitivity of the assay in direct comparison with murine bioassay of the same material. This in vitro assay detected, in a few days, 301V at a brain dilution of at least 1x10-9, compared to bioassay of the same material in VM mice that could detect down to a 1x10-8 dilution and took >180 days. The 301V PMCA may therefore offer a faster and more sensitive alternative to live animal bioassay when studying the BSE agent in VM mice

High Rate Detection of Volatile Products Using Differential Electrochemical Mass Spectrometry: Combining an Electrode-Coated Membrane with Hydrodynamic Flow in a Wall-Tube Configuration

We present an experimental system that combines differential electrochemical mass spectrometry with hydrodynamic flow consisting of an impinging jet in a wall-tube configuration. This assembly allows simultaneous detection of electrochemical signals along with monitoring of dissolved gas species using differential electrochemical mass spectrometry under well-defined hydrodynamic conditions and over a wide range of mass transfer rates. The working electrode is deposited directly onto a thin, hydrophobic membrane, which also serves as the inlet to the mass spectrometer. This inlet provides extremely rapid mass detection as well as a high flux of products from the electrode surface into the mass spectrometer. The impinging jet is designed in a wall-tube configuration, in which the jet diameter is large compared to the electrode diameter, thus providing uniform and rapid mass transfer conditions over the entirety of the electrode surface. This combination of rapid detection and controllable flow conditions allows a wide range of hydrodynamic conditions to be accessed with simultaneous electrochemical and mass spectrometric detection of dissolved gas species, which is important in the analysis of a range of electrochemical reactions. The capabilities of this configuration are illustrated using a platinum-coated electrode and several electrochemical reactions, including ferrocyanide oxidation, proton reduction, and oxalic acid oxidation

The VISTA Science Archive

We describe the VISTA Science Archive (VSA) and its first public release of data from five of the six VISTA Public Surveys. The VSA exists to support the VISTA Surveys through their lifecycle: the VISTA Public Survey consortia can use it during their quality control assessment of survey data products before submission to the ESO Science Archive Facility (ESO SAF); it supports their exploitation of survey data prior to its publication through the ESO SAF; and, subsequently, it provides the wider community with survey science exploitation tools that complement the data product repository functionality of the ESO SAF. This paper has been written in conjunction with the first public release of public survey data through the VSA and is designed to help its users understand the data products available and how the functionality of the VSA supports their varied science goals. We describe the design of the database and outline the database-driven curation processes that take data from nightly pipeline-processed and calibrated FITS files to create science-ready survey datasets. Much of this design, and the codebase implementing it, derives from our earlier WFCAM Science Archive (WSA), so this paper concentrates on the VISTA-specific aspects and on improvements made to the system in the light of experience gained in operating the WSA.Comment: 22 pages, 16 figures. Minor edits to fonts and typos after sub-editting. Published in A&