626 research outputs found

    HPP839358_Supplemental_Table_S1 – Supplemental material for Developing Tobacco Control Interventions in Permanent Supportive Housing for Formerly Homeless Adults

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    Supplemental material, HPP839358_Supplemental_Table_S1 for Developing Tobacco Control Interventions in Permanent Supportive Housing for Formerly Homeless Adults by Natalie M. Alizaga, Tram Nguyen, Anne Berit Petersen, Holly Elser and Maya Vijayaraghavan in Health Promotion Practice</p

    On the question of stability and disorder in icosahedral aluminum - transition metal alloys

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    PT: J; CR: BANCEL PA, 1985, PHYS REV LETT, V54, P2422 BANCEL PA, 1986, PHYS REV B, V33, P7917 CHEN CH, 1986, PHYS REV B, V33, P2814 DUBOST B, 1986, NATURE, V324, P48 DUNLAP RA, 1985, PHYS STATUS SOLIDI A, V92, K11 DUNLAP RA, 1986, J PHYS F MET PHYS, V16, P11 EIBSCHUTZ M, 1987, PHYS REV LETT, V59, P2443 EIBSCHUTZ M, 1989, IN PRESS PHYS REV LE ELSER V, 1985, PHYS REV B, V32, P4892 ELSER V, 1985, PHYS REV LETT, V55, P2883 LAWTHER DW, 1989, IN PRESS J MATER SCI MACKAY AL, 1962, ACTA CRYSTALLOGR, V15, P916 OHASHI W, 1987, NATURE, V330, P555 REDFIELD AC, 1987, PHYS REV LETT, V58, P2322 SHECHTMAN D, 1984, PHYS REV LETT, V53, P1951 TSAI AP, 1987, JPN J APPL PHYS, V26, P1505 YAMANE H, 1987, MATER SCI FORUM, V22, P539; NR: 17; TC: 18; J9: CAN J PHYS; PG: 5; GA: AK758Source type: Electronic(1

    Supplemental Material, Smoke-free_PSH_Resident_Attitudes_Supplementary_Materials - Smoke-Free or Not: Attitudes Toward Indoor Smoke-Free Policies Among Permanent Supportive Housing Residents

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    Supplemental Material, Smoke-free_PSH_Resident_Attitudes_Supplementary_Materials for Smoke-Free or Not: Attitudes Toward Indoor Smoke-Free Policies Among Permanent Supportive Housing Residents by Anne Berit Petersen, Holly Elser, Tram Nguyen, Natalie M. Alizaga and Maya Vijayaraghavan in American Journal of Health Promotion</p

    Reconstructing three-dimensional protein crystal intensities from sparse unoriented two-axis X-ray diffraction patterns. Corrigendum

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    A figure in the article by Lan, Wierman, Tate, Philipp, Elser &amp; Gruner [J. Appl. Cryst. (2017), 50, 985–993] is corrected.</jats:p

    Transition metal site distributions in binary aluminum-transition metal quasicrystals: Al-V and Al-Cr

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    PT: J; CR: BANCEL PA, 1985, PHYS REV LETT, V54, P2422 BIGOT J, 1988, MATER SCI ENG, V99, P453 CARLSON ON, 1955, T AM SOC MET, V47, P520 DINI K, 1986, J MATER SCI, V21, P1037 DUNLAP RA, 1985, PHYS STATUS SOLIDI A, V92, K11 DUNLAP RA, 1986, J PHYS F MET PHYS, V16, P11 DUNLAP RA, 1988, J PHYS F MET PHYS, V18, P1329 DUNLAP RA, 1988, PHYS REV B, V38, P3649 DUNLAP RA, 1988, UNPUB EDAGAWA K, 1987, J PHYS SOC JPN, V56, P2629 EIBSCHUTZ M, 1986, PHYS REV LETT, V56, P169 EIBSCHUTZ M, 1987, PHYS REV LETT, V59, P2443 ELSER V, 1985, PHYS REV B, V32, P4892 ELSER V, 1985, PHYS REV LETT, V55, P2883 HAUSER JJ, 1986, PHYS REV B, V33, P3577 INOUE A, 1986, METALL TRANS A, V17, P1657 INOUE A, 1987, J MATER SCI, V22, P1758 KIMURA K, 1985, J PHYS SOC JPN, V54, P3217 LAWTHER DW, 1989, CAN J PHYS, V67, P463 LIEBERMANN HH, 1983, BUTTERWORTHS MONOGRA, P26 MACKAY AL, 1962, ACTA CRYSTALLOGR, V15, P916 MCHENRY ME, 1989, PHYS REV B, V39, P3611 NISHITANI SR, 1988, MATER SCI ENG, V99, P443 SHECHTMAN D, 1984, PHYS REV LETT, V53, P1951 SKINNER DJ, 1988, MATER SCI ENG, V99, P407 SWARTZENDRUBER LJ, 1985, PHYS REV B, V32, P1383 WARREN WW, 1986, PHYS REV B, V34, P4902 ZHANG H, 1988, PHYS REV B, V37, P6220; NR: 28; TC: 4; J9: MATER SCI ENG A-STRUCT MATER; PG: 6; GA: CP677Source type: Electronic(1

    The effect of host Chlorella NC64A carbon: Phosphorus ratio on the production of Paramecium bursaria Chlorella Virus-1

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    1. We used the freshwater alga Chlorella NC64A (Division Chlorophyta) and its virus Paramecium bursaria Chlorella virus-1 (PBCV-1) as a model system to test for potential stoichiometric constraints on a virus–host interaction. 2. Media phosphorus concentrations were manipulated to create Chlorella NC64A host cells with low (91 ± 23) or high (453 ± 246) C : P ratio. In contrast, the C : P ratio of PBCV-1, calculated from its biochemical composition, was 17 : 1. 3. Stoichiometric theory predicts that infection success and postinfection viral production should be depressed in high C : P cultures due to insufficient intracellular P for production of P-rich viral particles. 4. Consistent with this hypothesis, viral production was strongly affected by host C : P ratio. While host C : P ratio did not affect viral attachment or the percentage of new viral particles that were infectious, in the low C : P Chlorella NC64A treatment, nine times more viruses were produced per infected cell than in the high C : P treatment (158 ± 138 versus 18 ± 18), indicating that the low C : P cells were higher quality for PBCV-1 proliferation. 5. This result implies that the stoichiometric quality of algal cells can have a major effect on host–virus population dynamics. [ABSTRACT FROM AUTHOR]Peer reviewedfinal article publishedChlorella NC64Aviral ecologyphosphorusParamecium bursaria Chlorella virus‐1ecological stoichiometr

    July 30, 1905 Page two

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    Elser, Joseph; O'Brien, Patsy; Miller, Wallace; Hammond, Charlotte; Hammond, Thomas M.;launch Lieutenant Elliott

    Personenwagen : automobile Klassengesellschaft

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    Personenwagen: Automobile Klassengesellschaft Dübendorf, St. Gallen und Thun, 20.07.2021 - Bislang werden Pkw von Experten eines jeden Landes in Kategorien wie Kleinst-, Klein-, Mittel-, obere Mittel-, Gross- und Luxusklasse eingeteilt. Diese altmodische Methode hat jedoch Einschränkungen in Bezug auf die Kompatibilität. Außerdem sind einige Crossover-Fahrzeuge schwer zu kategorisieren. Empa-Wissenschaftler fanden eine Methode, diese Sortierung fair und effizient durchzuführen, indem sie Datenbanken mit Methoden des maschinellen Lernens durchsuchen. Um Fahrzeuge beispielweise für das Mobility-Pricing korrekt in Klassen einteilen zu können, muss man Mittelklasseautos von der Oberklasse und Kleinwagen von Kompaktfahrzeugen klar unterscheiden können. Doch das wird immer schwerer: Ein Audi A4 sieht auf Fotos fast gleich aus wie ein Audi A6, ein Mini One sieht ähnlich aus wie ein Mini Countryman. Bis jetzt werden die Klassen in jedem Land von Experten eingeteilt – zu einem grossen Teil nach eigenem Ermessen. Die Empa-Forscherin Naghmeh Niroomand hat nun ein System entwickelt, das weltweit Autos an Hand der Abmessungen klassifizieren kann. Rein mathematisch und fair. Die bisherige Einteilung durch Experten könnte also bald ein Ende finden. Zugleich wären Auto-Klassen weltweit leichter und objektiver vergleichbar. Denn in Italien ist ein "Mittelklassewagen" etwas Anderes als in den USA. Literatur: N Niroomand, C Bach, M Elser; Robust Vehicle Classification Based on Deep Features Learning; IEEE Access (2021), DOI: 10.1109/ACCESS.2021.309436
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