Multistage Magnetic Separator of Cells and Proteins

The multistage electromagnetic separator for purifying cells and magnetic particles (MAGSEP) is a laboratory apparatus for separating and/or purifying particles (especially biological cells) on the basis of their magnetic susceptibility and magnetophoretic mobility. Whereas a typical prior apparatus based on similar principles offers only a single stage of separation, the MAGSEP, as its full name indicates, offers multiple stages of separation; this makes it possible to refine a sample population of particles to a higher level of purity or to categorize multiple portions of the sample on the basis of magnetic susceptibility and/or magnetophoretic mobility. The MAGSEP includes a processing unit and an electronic unit coupled to a personal computer. The processing unit includes upper and lower plates, a plate-rotation system, an electromagnet, an electromagnet-translation system, and a capture-magnet assembly. The plates are bolted together through a roller bearing that allows the plates to rotate with respect to each other. An interface between the plates acts as a seal for separating fluids. A lower cuvette can be aligned with as many as 15 upper cuvette stations for fraction collection during processing. A two-phase stepping motor drives the rotation system, causing the upper plate to rotate for the collection of each fraction of the sample material. The electromagnet generates a magnetic field across the lower cuvette, while the translation system translates the electromagnet upward along the lower cuvette. The current supplied to the electromagnet, and thus the magnetic flux density at the pole face of the electromagnet, can be set at a programmed value between 0 and 1,400 gauss (0.14 T). The rate of translation can be programmed between 5 and 2,000 m/s so as to align all sample particles in the same position in the cuvette. The capture magnet can be a permanent magnet. It is mounted on an arm connected to a stepping motor. The stepping motor rotates the arm to position the capture magnet above the upper cuvette into which a fraction of the sample is collected. The electronic unit includes a power switch, power-supply circuitry that accepts 110-Vac input power, an RS-232 interface, and status lights. The personal computer runs the MAGSEP software and controls the operation of the MAGSEP through the RS-232 interface. The status of the power, the translating electromagnet, the capture magnet, and the rotation of the upper plate are indicated in a graphical user interface on the computer screen

Prospectus, April 25, 1973

NEW STUGO REPRESENTATIVES; 4-day nutrition workshop; Student\u27s views sought; Broken Hearts; Junior college visitation day; Student to give report to Academy; May elected chairman of nurse ass\u27n; Day Senator: Brenda Kendricks; Day Senator: Earnest Hite; Day Senator: Ken Segan; Convocations: Bill Tigrak; United Farm Workers organize boycotts; To the Editor; Brenda and Leroy; Judging teams; Festival; haiku; poem; incentive; Women welcome!; AAUW Scholarship awarded; Bridge tourney; bullet; Magical Mystery Tour: A quickie visit to Parkland\u27s new campus; What would you like to know about the new campus?; Prof Spectus; \u27How dare you presume I\u27m straight?\u27 Notes of a lesbian; PC bowlers romp to victory in 1st central Illinois tourney; From above an athlete\u27s feet; What\u27s decent to eat?; Baseballers win three of four games; Track team has high hopes; Changes in PC athletics; Thinclads take third; Wrestlinghttps://spark.parkland.edu/prospectus_1973/1008/thumbnail.jp

Development of an automated DNA purification module using a micro-fabricated pillar chip

We present a fully automated DNA purification module comprised of a micro-fabricated chip and sequential injection analysis system that is designed for use within autonomous instruments that continuously monitor the environment for the presence of biological threat agents. The chip has an elliptical flow channel containing a bed (3.5 &times; 3.5 mm) of silica-coated pillars with height, width and center-to-center spacing of 200, 15, and 30 &micro;m, respectively, which provides a relatively large surface area (ca. 3 cm2) for DNA capture in the presence of chaotropic agents. We have characterized the effect of various fluidic parameters on extraction performance, including sample input volume, capture flow rate, and elution volume. The flow-through design made the pillar chip completely reusable; carryover was eliminated by flushing lines with sodium hypochlorite and deionized water between assays. A mass balance was conducted to determine the fate of input DNA not recovered in the eluent. The device was capable of purifying and recovering Bacillus anthracis genomic DNA (input masses from 0.32 to 320 pg) from spiked environmental aerosol samples, for subsequent analysis using polymerase chain reaction-based assays.<br /

Crop Updates 2010 - Genetically Modified Crops, Nutrition and Soils

GENETICALLY MODIFIED CROPS 1. Evaluation of the environmental and economic impact of Roundup Ready® canola in the Western Australian crop production system, James Fisher and Désirée Futures, York, Western Australia, Peter Tozer, PRT Consulting, Armidale NSW 2. Controlling wild radish (Raphanus raphanistrum) in Roundup Ready®1 Canola: Outcomes from the Nufarm 2009 Roundup Ready small plot trial Program, Mike Jackson, Nufarm Australia Limited 3. Weed strategies for glyphosate tolerant crops, John Moore, Department of Agriculture and Food 4. Results of the 2009 Western Australia Roundup Ready® canola trials, Dr James Neilsen, Canola Systems Specialist, Monsanto Australia NUTRITION 5. Modelling P runoff losses from agricultural systems, Geoff Anderson1, Wen Chen1, 2, Richard Bell2 and Ross Brennan1, 1Department of Agriculture and Food, 2School of Environmental Science, Murdoch University 6. Evaluation of deep banded biochars or biochar-mineral complex for increasing wheat yield or replacing fertiliser, Paul Blackwell, Allan Herbert and Stephen Davies, Department of Agriculture and Food 7. Improving fertiliser management: Redefining soil test-crop response relationships for canola in Western Australia, Wen Chen1, 2, Ross Brennan2, Richard Bell1, Mike Bolland2 and Geoff Anderson2, 1School of Environmental Science, Murdoch University, 2Department of Agriculture and Food 8. Phosphorus placement for wheat and lupins in WA cropping systems, 1School of Environmental Science, Murdoch University, 2Department of Agriculture and Food 9. The benefits of fertilising pastures for following crops, James Easton, Ryan Guthrie and Rowan Maddern, CSBP 10. Good nutrition produces high quality wheat in the high rainfall zone of Western Australia, Darren Hughes, Adveco Fertilisers; Wagga Wagga, Robert Belford, Curtin University of Technology, Wal Anderson, Department of Agriculture and Food, and Ian Edwards, Edstar Genetics, Perth 11. Lime to get maximum benefit from soil phosphorus, Reg Lunt and Bill Bowden, Department of Agriculture and Food 12. Variable rate top up N – Is it worth the trouble? Nigel Metz, South East Premium Wheat Growers Association (SEPWA) SOILS 13. Impact of soil inversion, soil dilution and claying on non-wetting sandplain soils, Stephen Davies, Peter Newman and Breanne Best, Department of Agriculture and Food 14. Long term effects of lime application on soil p, crop yields and annual ryegrass competition, Chris Gazey, Department of Agriculture and Food, Joel Andrew, Precision SoilTech, Belmont, Western Australi

Crop Updates 2008 - Cereals

This session covers twenty four papers from different authors: WHEAT AGRONOMY 1. Wheat variety performance in the Northern Agricultural Region in 2007, Christine Zaicou, Department of Agriculture and Food 2. Wheat variety performance on the Central Agricultural Region in 2007, Shahajahan Miyan, Department of Agriculture and Food 3. Response of wheat varieties to sowing time in the Great Southern and Lakes Region in 2007, Brenda Shackley and Steve Penny, Department of Agriculture and Food 4. Wheat variety performance in the South Coastal Region in 2007, Sarah Ellis, Department of Agriculture and Food 5. Flowering dates of wheat varieties in Western Australia in 2007, Darshan Sharma, Brenda Shackley and Christine Zaicou, Department of Agriculture and Food BARLEY AGRONOMY 6. Barley variety options for Western Australia, Blakely Paynter, Andrea Hills and Jeff Russell, Department of Agriculture and Food 7. Vlaming A – the newest malting barley variety, Blakely Paynter, Jeff Russell and Andrea Hills, Department of Agriculture and Food 8. Barley yields higher in wide rows with stubble retained in a very dry season at Merredin, Glen Riethmuller, Bill Bowden and Paul Blackwell, Department of Agriculture and Food HERBICIDE TOLERANCE 9. Herbicide tolerance of current/new wheat varieties, Dr Harmohinder Dhammu, Department of Agriculture and Food 10. Herbicide tolerance of new oat varieties, Dr Harmohinder Dhammu, Vince Lambert, and Chris Roberts,Department of Agriculture and Food NUTRITION 11. Managing nitrogen inputs in malting barley, Andrea Hills and Blakely Paynter, Department of Agriculture and Food 12. Decision tools for optimal N on cereal crops, David and Sally Cox, Jeremy Lemon* and Andrea Hills*, *Department of Agriculture and Food 13. Wheat varieties respond differently to potassium application on potassium responsive soils, Paul Damon and Zed Rengel, Faculty of Natural and Agricultural Sciences, University of Western Australia DISEASES 14. Leaf disease management in continuous barley in the northern and central grainbelt of WA, Geoff Thomas, Ciara Beard, Anne Smith, Kith Jayasena and Sean Kelly, Department of Agriculture and Food 15. Temperature and moisture requirements of leaf, stem and stripe rusts of wheat, Geoff Thomas, Rob Loughman and Bill MacLeod, Department of Agriculture and Food 16. Fungicide options for controlling diseases in oats, Raj Malik and Blakely Paynter, Department of Agriculture and Food 17. Survey of wheat root diseases under intensive cereal production in Western Australia during 2005-2007, Ravjit Khangura, William MacLeod, Vivien Vanstone, Colin Hanbury, Mehreteab Aberra, Gordon MacNish and Robert Loughman, Department of Agriculture and Food 18. Epidemiology studies on Wheat Streak Mosaic Virus in 2007, Brenda Coutts, Geoff Strickland, Monica Kehoe, Dustin Severtson and Roger Jones, Department of Agriculture and Food 19. Bacterial diseases that affect WA export hay quality, Dominie Wright and Megan Jordan, Department of Agriculture and Food SOIL 20. Hardpan penetration ability of drought-stressed wheat under pot and field conditions, Xinhua He1, Eli Manyol1, Song-Ai Nio1, Imran Malik1, Tina Botwright-Acuña1,2and Len Wade1,3,1School of Plant Biology, University of Western Australia, 2Tasmanian Institute of Agricultural Research, University of Tasmania, TAS, 3E.H. Graham Centre, Charles Sturt University, NSW HARVEST MANAGEMENT 21. Calculating the risk – the SEPWA Harvest Calculator, Nigel Metz, South East Premium Wheat Growers Association 22. The relationship between grain moisture and atmospheric conditions in cereal crop harvesting on the South Coast of WA, Nigel Metz, South East Premium Wheat Growers Association (SEPWA) MARKETS 23. Varietal accreditation for Australian Barley, Linda Price, Barley Australia STATISTICAL METHODS 24. Applying data mining tools to improve grain quality for growers, Dean Diepeveen1, Leisa Armstrong2, Peter Clarke1, Doug Abrecht1, Rudi Appels2 and Matthew Bellgard3,1Department of Agriculture and Food, Western Australia 2Edith Cowan University, Western Australia, 3Centre of Comparative Genomics, Murdoch Universit

Counseling patients about sexual health when considering post-prostatectomy radiation treatment

Prostate cancer is the second most frequently diagnosed cancer in men in the United States. Many men with clinically localized prostate cancer survive for 15 years or more. Although early detection and successful definitive treatments are increasingly common, a debate regarding how aggressively to treat prostate cancer is ongoing because of the effect of aggressive treatment on the quality of life, including sexual functioning. We examined current research on the effect of post-prostatectomy radiation treatment on sexual functioning, and suggest a way in which patient desired outcomes might be taken into consideration while making decisions with regard to the timing of radiation therapy after prostatectomy

Similarity Downselection: Finding the <i>n</i> Most Dissimilar Molecular Conformers for Reference-Free Metabolomics

Computational methods for creating in silico libraries of molecular descriptors (e.g., collision cross sections) are becoming increasingly prevalent due to the limited number of authentic reference materials available for traditional library building. These so-called “reference-free metabolomics” methods require sampling sets of molecular conformers in order to produce high accuracy property predictions. Due to the computational cost of the subsequent calculations for each conformer, there is a need to sample the most relevant subset and avoid repeating calculations on conformers that are nearly identical. The goal of this study is to introduce a heuristic method of finding the most dissimilar conformers from a larger population in order to help speed up reference-free calculation methods and maintain a high property prediction accuracy. Finding the set of the n items most dissimilar from each other out of a larger population becomes increasingly difficult and computationally expensive as either n or the population size grows large. Because there exists a pairwise relationship between each item and all other items in the population, finding the set of the n most dissimilar items is different than simply sorting an array of numbers. For instance, if you have a set of the most dissimilar n = 4 items, one or more of the items from n = 4 might not be in the set n = 5. An exact solution would have to search all possible combinations of size n in the population exhaustively. We present an open-source software called similarity downselection (SDS), written in Python and freely available on GitHub. SDS implements a heuristic algorithm for quickly finding the approximate set(s) of the n most dissimilar items. We benchmark SDS against a Monte Carlo method, which attempts to find the exact solution through repeated random sampling. We show that for SDS to find the set of n most dissimilar conformers, our method is not only orders of magnitude faster, but it is also more accurate than running Monte Carlo for 1,000,000 iterations, each searching for set sizes n = 3–7 out of a population of 50,000. We also benchmark SDS against the exact solution for example small populations, showing that SDS produces a solution close to the exact solution in these instances. Using theoretical approaches, we also demonstrate the constraints of the greedy algorithm and its efficacy as a ratio to the exact solution

Correction: Nielson et al. Similarity Downselection: Finding the <i>n</i> Most Dissimilar Molecular Conformers for Reference-Free Metabolomics. <i>Metabolites</i> 2023, <i>13</i>, 105

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