101 research outputs found

    Intelligent Buying

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    As the purchasing agent for your family, are you an intelligent and an efficient buyer? Are you purchasing the best possible materials and equipment at the best market price

    Do We Need Help in Household Buying?

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    Upon what basis do you make selection when buying household goods? What is it that leads you to select this article rather than that one? Is it style or, barring style, is it quality, prices, advertising or good salesmanship? How can one know in this complex marketing system upon what basis to select things, anyway? These and many other questions were discussed at a conference on The Problems of the Household Buyer, held recently at the University of Chicago, under the auspices of the Home Economics Department

    American Home Economics Association Convention

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    Eleven hundred home economics workers made the pilgrimage to Ashville, North Carolina in June to attend the 20th annual meeting of the American Home Economics Association. Something less than that number attended all of the meetings for the lure of the beautiful country made truants of some of the most ardent of the pilgrims

    The Iowa Homemaker vol.7, no.6

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    The Place of the Child by Anna E. Richardson, page 1 Liver for My Hotspur by Jeanette Beyer McCay, page 2 Christmas Problems for the Home Economics Class by Marcia E. Turner, page 3 Taking the Drudgery Out of Ironing Day by Edith Carse, page 4 Home Life in Uruguay by Frances Thomas, page 5 Girls’ 4-H Page, page 6 Looking Ahead in the State Association by Vera L. Mintle, page 8 Do We Need Help in Household Buying? by Frances A. Sims, page 10 Who’s There and Where by Dr. Lillian B. Storms, page 1

    The Iowa Homemaker vol.9, no.8

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    Home Economics in Great Britain by Marguerite Stotts Hopkins, page 1 Farm and Home Week by Nellie Goethe, Ph. D., page 2 Intelligent Buying by Frances A. Sims, page 3 Miss Vigor’s Journal by Margaret Wichman, page 4 Living on $10 a Month by Thelma Carlson, page 5 4-H Club by Helen Melton, page 6 State Association by Marcia E. Turner, page 8 Editorial News, page 11 Alumnae News by Dorothy B. Anderson, page 1

    The Iowa Homemaker vol.6, no.2 Extra

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    Table of Contents An Invitation to Attend the Dedication of Home Economics Hall by Anna E. Richardson, page 1 In Our New Home at Last by Marcia E. Turner, page 2 Household Equipment by Eloise Davison, page 2 A Walk Around Campus by Vivian Jordan Brashear, page 3 Textiles and Clothing by Frances Sims, page 4 Child Care and Parent Training by Lydia Swanson, page 4 Applied Art by Joanna M. Hansen, page 5 Foods and Nutrition Department by Alma M. Riemenschneider, page 6 Institutional Management by Linda Spence Brown, page 7 Physical Education by Winifred R. Tilden, page 7 Home Economics Vocational Education by Marica E. Turner, page 8 The Department of Hygiene by Grace Magee, page 8 The Household Administration Department by Ruth M. Lindquist, page 9 Homemakers Department by Elizabeth M. Rivers, page

    Population genomics of domestic and wild yeasts

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    The natural genetics of an organism is determined by the distribution of sequences of its genome. Here we present one- to four-fold, with some deeper, coverage of the genome sequences of over seventy isolates of the domesticated baker's yeast, _Saccharomyces cerevisiae_, and its closest relative, the wild _S. paradoxus_, which has never been associated with human activity. These were collected from numerous geographic locations and sources (including wild, clinical, baking, wine, laboratory and food spoilage). These sequences provide an unprecedented view of the population structure, natural (and artificial) selection and genome evolution in these species. Variation in gene content, SNPs, indels, copy numbers and transposable elements provide insights into the evolution of different lineages. Phenotypic variation broadly correlates with global genome-wide phylogenetic relationships however there is no correlation with source. _S. paradoxus_ populations are well delineated along geographic boundaries while the variation among worldwide _S. cerevisiae_ isolates show less differentiation and is comparable to a single _S. paradoxus_ population. Rather than one or two domestication events leading to the extant baker's yeasts, the population structure of _S. cerevisiae_ shows a few well defined geographically isolated lineages and many different mosaics of these lineages, supporting the notion that human influence provided the opportunity for outbreeding and production of new combinations of pre-existing variation

    Deriving a mutation index of carcinogenicity using protein structure and protein interfaces

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    With the advent of Next Generation Sequencing the identification of mutations in the genomes of healthy and diseased tissues has become commonplace. While much progress has been made to elucidate the aetiology of disease processes in cancer, the contributions to disease that many individual mutations make remain to be characterised and their downstream consequences on cancer phenotypes remain to be understood. Missense mutations commonly occur in cancers and their consequences remain challenging to predict. However, this knowledge is becoming more vital, for both assessing disease progression and for stratifying drug treatment regimes. Coupled with structural data, comprehensive genomic databases of mutations such as the 1000 Genomes project and COSMIC give an opportunity to investigate general principles of how cancer mutations disrupt proteins and their interactions at the molecular and network level. We describe a comprehensive comparison of cancer and neutral missense mutations; by combining features derived from structural and interface properties we have developed a carcinogenicity predictor, InCa (Index of Carcinogenicity). Upon comparison with other methods, we observe that InCa can predict mutations that might not be detected by other methods. We also discuss general limitations shared by all predictors that attempt to predict driver mutations and discuss how this could impact high-throughput predictions. A web interface to a server implementation is publicly available at http://inca.icr.ac.uk/
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