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| 1 | 利用时间串联质谱方法测定高脂肪食品中低于PPT级的2,3,7,8氯代二苯二恶英和氯代二苯呋喃显示文摘离子阱串联质谱方法的检出限通过对花生油、羔羊脂肪和黄油中2,3,7,8多氯代二苯二恶英(PCDD_s)和多氯代二苯呋喃(PCDFs)的反复测定进行了评价,在黄油中可观测到10种同系物(范围0.27一2.5pg/g),羔羊脂肪中可测到9种(范围0.09- 2 6pg/g),并且所得结果精确性良好。在高脂肪食品中,对大多数的多氯代二苯二恶英/呋喃,可在 0.5 pg/g的水平达到准确和可重复的结果(七氯代二苯二恶英和七氯代二苯呋喃为1.0pg/g,八氯代二苯呋喃为2.0pg/g),而对于2,3,7,8四氯代二苯二恶英和2,3,7,8四氯代二苯呋喃可达到0.2pg/g。离子阱串联质谱方法在分析鲶鱼和鸡蛋中的2,3,7,8四氯代二苯二恶英方面性能卓越,所分析的样品来自美国大陆的大多数地区。该方法还用于羔羊脂肪、黄油和取自Kazakhstan乡村的棉子油中的四氯代二苯二恶英污染的测定。由该方法对鲶鱼和鸡蛋样品的重复分析表明其结果可与高分辨质谱方法相媲美。 | Douglas G Hayward Kim Hooper Denls Andrzejewski | 1999 | 现代科学仪器1999，0，3： | 2 |
| 2 | Sovereign Rating Changes:Do They Provide New Information for Stock Markets显示文摘 | Hooper V Hume T Kim S.J | | 0，，02： | 1 |
| 3 | Prevalence of plasmid-mediated quinolone resistance determinants over a 9-year period显示文摘 | Kim H B Park C H Kim E C Jaeoby G A Hooper D C | 2009 | Antimicrobial Agents and Chemotherapy2009，53，2： | 1 |
| 4 | ASPAN’s Evidence-Based Clinical Practice Guideline for the Promotion of Perioperative Normothermia: Second Edition显示文摘 | Vallire D. Hooper Robin Chard Theresa Clifford Susan Fetzer Susan Fossum Barbara Godden Elizabeth A. Martinez Kim A. Noble Denise O’Brien Jan Odom-Forren Corey Peterson Jacqueline Ross Linda Wilson | 2010 | Journal of PeriAnesthesia Nursing2010，，6： | 1 |
| 5 | Sovereign rating changes-do they provide new information for stock markets显示文摘 | Hooper V Hume T Kim S | | 0，，32： | 1 |
| 6 | Polybrominated diphenyl ethers (PBDEs) and polychlorinated biphenyls (PCBs) in breast milk from the Pacific Northwest显示文摘 | Jianwen She Arthur Holden Margaret Sharp Manon Tanner Clark Williams-Derry Kim Hooper | 2007 | Chemosphere2007，，9： | 1 |
| 7 | Sovereign rating changes--Do they provide new information for stock markets?显示文摘 | Hooper V Hume T Kim S J | 2008 | Econom- ic Systems2008，32，2： | 1 |
| 8 | Sovereign rating changes—Do they provide new information for stock markets?显示文摘 | Vince Hooper Timothy Hume Suk-Joong Kim | 2008 | Economic Systems2008，，2： | 1 |
| 9 | Application and evaluation of a pattern-based building energy model calibration method using public building datasets显示文摘Building performance simulation has been adopted to support decision making in the building life cycle.An essential issue is to ensure a building energy simulation model can capture the reality and complexity of buildings and their systems in both the static characteristics and dynamic operations.Building energy model calibration is a technique that takes various types of measured performance data(e.g.,energy use)and tunes key model parameters to match the simulated results with the actual measurements.This study performed an application and evaluation of an automated pattern-based calibration method on commercial building models that were generated based on characteristics of real buildings.A public building dataset that includes high-level building attributes(e.g.,building type,vintage,total floor area,number of stories,zip code)of 111 buildings in San Francisco,California,USA,was used to generate building models in EnergyPlus.Monthly level energy use calibrations were then conducted by comparing building model results against the actual buildings’monthly electricity and natural gas consumption.The results showed 57 out of 111 buildings were successfully calibrated against actual buildings,while the remaining buildings showed opportunities for future calibration improvements.Enhancements to the pattern-based model calibration method are identified to expand its use for:(1)central heating,ventilation and air conditioning(HVAC)systems with chillers,(2)space heating and hot water heating with electricity sources,(3)mixed-use building types,and(4)partially occupied buildings. | Kaiyu Sun Tianzhen Hong Janghyun Kim Barry Hooper | 2022 | Building Simulation2022，15，8： | 0 |
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