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| 1 | Bringing the Environment into Bank Lending:Implications for Environment Reporting显示文摘 | Cowton J P.Thompson | | 0，，02： | 1 |
| 2 | Cloning, mapping and association studies of the ovine ABCG2 gene with facial eczema disease in sheep显示文摘 | E. J.Duncan K. G.Dodds H. M.Henry M. P.Thompson S. H.Phua | 2007 | Animal Genetics2007，，2： | 1 |
| 3 | Validation of PCR for the detection of Pseudomonas aeruginosa from corneal samples显示文摘AIM: To determine a species-specific real-time polymerase chain reaction (PCR) assay to detect Pseudomonas aeruginosa (PA),a secondary DNA target for PA that may provide a universal target for other bacterial pathogens,and validate both assays for diagnostic testing.METHODS: PCR detection was established against the ecfX PA gene and the 16S rRNA gene using known PA keratitis isolates.The outcome parameters for both assays were 'limit of detection' (LOD),amplification efficiency (AE),and PAGE amplified product analysis.Both assays were validated against 20 true-positive clinical samples positive for PA DNA and 20 true-negative samples containing no PA DNA.Descriptive statistics and PAGE analysis were used as outcome parameters.RESULTS: AE of the ecfX assay was 96.6%,and LOD was 33.6 copies of target DNA per microliter.AE of the 16S rRNA assay was 103.4%,and LOD was 8.12 copies per microliter.The sensitivity,specificity,positive predictive value,negative predictive value,and efficiency for the ecfX and 16S rRNA assays were [75%,95%,94%,79%,and 85%],and [70%,100%,100%,77%,and 85%],respectively.Both PCR assays were validated,followed by confirmation of DNA patterns from PAGE analysis.CONCLUSION: The PCR methodology described here may be a useful adjunct to standard methods in the diagnosis of PA keratitis. | Maria E.Hillenbrand Paul P.Thompson Robert M.Q.Shanks Regis P.Kowalski | 2011 | International Journal of Ophthalmology(English edition)2011，4，3： | 1 |
| 4 | 人工表层角膜镜片术的研究现状显示文摘应用人工表层角膜镜片可克服人组织表层角膜镜片的许多不足。有可能用于角膜镜片的生物材料包括:胶原(Ⅰ、Ⅲ或Ⅳ型),胶原-水凝胶聚合物,生物活性合成剂及可涂敷的水凝胶。生物材料应具有良好的光学透明性,角膜上皮细胞能够在其上移行和粘附,对溶质渗透性良好及对角膜蛋白酶不发生变化。不用削除前弹力膜,通过粘稠物质、激光焊接或直接粘附等方法将人工镜片直接贴附于角膜的 Bowman 氏膜上,以改善人工表层镜片术的效果。 | Keith P.Thompson Khalil Hanna 陈剑 李志杰 | 1993 | 国外医学(眼科学分册)1993，17，1： | 1 |
| 5 | Autobiographical memory: unpleasantness fades faster than pleasantness over time显示文摘 | W. RichardWalker Rodney J.Vogl Charles P.Thompson | 1999 | Appl. Cognit. Psychol1999，，： | 1 |
| 6 | Training data selection for accuracy and transferability of interatomic potentials显示文摘Advances in machine learning(ML)have enabled the development of interatomic potentials that promise the accuracy of first principles methods and the low-cost,parallel efficiency of empirical potentials.However,ML-based potentials struggle to achieve transferability,i.e.,provide consistent accuracy across configurations that differ from those used during training.In order to realize the promise of ML-based potentials,systematic and scalable approaches to generate diverse training sets need to be developed.This work creates a diverse training set for tungsten in an automated manner using an entropy optimization approach.Subsequently,multiple polynomial and neural network potentials are trained on the entropy-optimized dataset.A corresponding set of potentials are trained on an expert-curated dataset for tungsten for comparison.The models trained to the entropy-optimized data exhibited superior transferability compared to the expert-curated models.Furthermore,the models trained to the expert-curated set exhibited a significant decrease in performance when evaluated on out-of-sample configurations. | David Montes de Oca Zapiain Mitchell A.Wood Nicholas Lubbers Carlos ZP.ereyra Aidan P.Thompson Danny Perez | 2022 | npj Computational Materials2022，，1： | 0 |
| 7 | 微生物靶向降解型环保金属加工液的研制显示文摘文章采集了不同地区的金属加工液废液,分离筛选出了其中的微生物进行培养,以测试不同微生物及其组合对废液化学需氧量(COD)的去除能力。具体通过选出COD去除率高的微生物或组合,测试其在常规金属加工液不同原料中的适应性。然后以微生物适应强的原料为基础,开发出环保型金属加工液产品。经测试发现新开发的金属加工液的加工性能和稳定性能均可满足应用需求。最后从已使用3个月的金属加工液槽液中取样,与经过优化的微生物进行组合性COD去除率测试,试验结果表明COD去除率可从初始的54%提升至79%。 | 靳永昌 Muhammad Irfan Arif 陆世忠 高雨 宋海燕 Ian P.Thompson 赵凯利 | 2023 | 工业微生物2023，53，4： | 0 |
| 8 | 使用PCR检测角膜绿脓杆菌(英文)显示文摘目的:确定一个种特异性的实时聚合酶链反应(PCR)法检测绿脓杆菌(PA),一个可能提供给其他细菌病原体通用目标的用于PA的次一级目标DNA,并验证这种用于诊断测试的检测方法。方法:利用已知PA的角膜炎株建立对ecfXPA基因和16SrRNA基因的PCR检测。两个实验的结果参数是'检测限'(LOD),扩增效率(AE)和聚丙烯酰胺凝胶电泳(PAGE)扩增产物分析。两种检测方法通过对20例PADNA阳性的真阳性临床标本和20例不含有PADNA的真阴性样品的检测进行了验证。描述性统计和PAGE分析用作为结果参数。结果:通过ecfX检测的AE为96.6%,而LOD为每微升33.6目标DNA拷贝。16SrRNA检测的AE为103.4%,而LOD为每微升8.12拷贝。ecfX和16SrRNA检测的敏感性,特异性,阳性预测值,阴性预测值,效率分别为(75%,95%,94%,79%和85%),及(70%,100%,100%,77%和85%)。这两种PCR方法经过了验证,通过了PAGE分析的DNA图谱确认。结论:这里描述的PCR方法可能是对PA角膜炎标准诊断方法的一种有用的辅助检测。 | Maria E.Hillenbrand Paul P.Thompson Robert M.Q.Shanks Regis P.Kowalski | 2011 | 国际眼科杂志2011，11，7： | 0 |
| 9 | 新型 OxyPlate^(TM)厌氧系统隔离眼部厌氧菌的评估(英文)显示文摘目的:厌氧细菌可引起眼部感染,我们测试OxyPlate^(TM)厌氧系统(OxyPlate^(TM) Anaerobic System,OXY)隔离可引起眼部疾病的厌氧细菌。方法:OXY不需要直接的厌氧条件(比如厌氧袋,罐),将其与常规的厌氧袋培养基相比。琼脂培养基上眼部厌氧细菌菌株在好氧和厌氧条件下(厌氧袋)行标准的菌落计数:(1)OXY(好氧);(2)5%羊血(sheep blood,SB);(3)巧克力琼脂;(4)Schaedler琼脂。测试的眼部体外培养细菌来自眼内炎,泪囊炎,包括10个丙酸杆菌和3个放线菌种类。在每个培养条件下,每个细菌菌落计数隔离,排名从大到小,并在非参数比较下确定最佳的培养条件。结果:所有的厌氧条件对于厌氧菌株呈阳性反应。厌氧菌在有氧条件下的SB和Schaedler的琼脂中无法增长。痤疮丙酸杆菌在巧克力琼脂中生长稀疏。作为一种厌氧系统,在厌氧袋SB分离比OXY(P=0.0028)和巧克力琼脂(P=0.0028)分离出更多的菌落数。结论:虽然OXY经测试并没比其他的厌氧系统更高效,它似乎是一个合理隔离厌氧细菌的替代方法。其琼脂培养基在一个专门设计的盘并不需要厌氧袋使得OXY优于其他厌氧系统。 | Emily K.Deschler Paul P.Thompson Regis Paul Kowalski | 2013 | 国际眼科杂志2013，13，1： | 0 |
| 10 | Predicting electronic structures at any length scale with machine learning显示文摘The properties of electrons in matter are of fundamental importance.They give rise to virtually all material properties and determine the physics at play in objects ranging from semiconductor devices to the interior of giant gas planets.Modeling and simulation of such diverse applications rely primarily on density functional theory(DFT),which has become the principal method for predicting the electronic structure of matter.While DFT calculations have proven to be very useful,their computational scaling limits them to small systems.We have developed a machine learning framework for predicting the electronic structure on any length scale.It shows up to three orders of magnitude speedup on systems where DFT is tractable and,more importantly,enables predictions on scales where DFT calculations are infeasible.Our work demonstrates how machine learning circumvents a long-standing computational bottleneck and advances materials science to frontiers intractable with any current solutions. | Lenz Fiedler Normand A.Modine Steve Schmerler Dayton J.Vogel Gabriel A.Popoola Aidan P.Thompson Sivasankaran Rajamanickam Attila Cangi | 2023 | npj Computational Materials2023，，1： | 0 |
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