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| 1 | 基于GPC和FTIR的再生混合料新旧沥青融合程度研究显示文摘伴随着沥青路面回收料(RAP)在沥青路面修筑和维护中的逐步推广应用,有关RAP对再生路面结构及其力学性能的影响已有了大量的研究,但对RAP旧沥青和新沥青的融合问题还尚不清楚。工程应用中通常假定RAP旧沥青与新沥青发生了完全融合。但如果两者没有完全融合,路面的使用寿命将小于预期水平。该文中,假定再生沥青混合料中集料表面各沥青层可独立完全地分离出来,在此前提下,研究中对再生沥青混合料进行了分层萃取,并利用凝胶渗透色谱(GPC)和傅立叶转换红外光谱(FTIR)对分层萃取出的各层沥青进行定量检测,经对比分析后确定RAP旧沥青和新沥青的融合程度。研究结果表明:再生沥青混合料中RAP表面各层旧沥青与新沥青均发生了一定程度的融合。 | 张德鹏(编译) 徐金枝(编译) 郝培文(编译) benjamin f.bowers baoshan huang xiang shu brad c.miller | 2016 | 中外公路2016，36，6： | 8 |
| 2 | 盐生海藻杜氏盐藻的转录组测序以及注释(英文)显示文摘目的:解析杜氏盐藻代谢过程,主要关注盐胁迫下累积的代谢物(渗透平衡产物、多胺和类胡萝卜素)的代谢。创新点:本研究通过高通量测序产生了大量来自杜氏盐藻整个生长周期的转录组数据,描述了杜氏盐藻在盐胁迫下累积的渗透平衡产物、多胺和类胡萝卜素的代谢过程。另外通过该手段也进一步分析了盐胁迫处理下,抑制精胺合成底物的供应可能会缓解盐藻增殖对胡萝卜素含量的影响。方法:以来自3个不同生长时期的杜氏盐藻为材料,进行大规模转录组测序。在转录组功能注释的基础上,预测了杜氏盐藻盐胁迫下累积的渗透平衡产物(图3)、多胺(图4)和类胡萝卜素(图5)的代谢路径。利用相对定量聚合酶链反应(qP CR)技术构建了相关代谢路径中关键基因的表达谱(图6)。结论:通过杜氏盐藻转录组测序共获取了39 820条单一序列。在功能注释和聚类分析的基础上预测了杜氏盐藻盐胁迫下累积的渗透平衡产物(甘油和脯氨酸)、多胺以及类胡萝卜素的代谢路径。相关代谢途径的关键酶的表达谱分析,说明盐能够调节甘油、脯氨酸以及多胺的代谢过程。抑制精胺合成底物的供应可能会缓解盐藻增殖对胡萝卜素含量的影响。 | Ling HONG Jun-li LIU Samira Z.MIDOUN Philip C.MILLER | 2017 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2017，18，10： | 2 |
| 3 | Mathematical models of SIR disease spread with combined non-sexual and sexual transmission routes显示文摘The emergence of Zika and Ebola demonstrates the importance of understanding the role of sexual transmission in the spread of diseases with a primarily non-sexual transmission route.In this paper,we develop low-dimensional models for how an SIR disease will spread if it transmits through a sexual contact network and some other transmission mechanism,such as direct contact or vectors.We show that the models derived accurately predict the dynamics of simulations in the large population limit,and investigateℛ0 and final size relations. | Joel C.Miller | 2017 | Infectious Disease Modelling2017，2，1： | 2 |
| 4 | Measurement of the integrated luminosity of the Phase 2 data of the Belle Ⅱ experiment显示文摘From April to July 2018,a data sample at the peak energy of the T(4 S) resonance was collected with the Belle Ⅱ detector at the SuperKEKB electron-positron collider.This is the first data sample of the Belle Ⅱ experiment.Using Bhabha and digamma events,we measure the integrated luminosity of the data sample to be(496.3±0.3±3.0) pb-1,where the first uncertainty is statistical and the second is systematic.This work provides a basis for future luminosity measurements at Belle Ⅱ. | F.Abudinén I.Adachi P.Ahlburg H.Aihara N.Akopov A.Aloisio F.Ameli L.Andricek N.Anh Ky D.M.Asner H.Atmacan T.Aushev V.Aushev T.Aziz K.Azmi V.Babu S.Baehr S.Bahinipati A.M.Bakich P.Bambade Sw.Banerjee S.Bansal V.Bansal M.Barrett J.Baudot A.Beaulieu J.Becker P.K.Behera J.V.Bennett E.Bernieri F.U.Bernlochner M.Bertemes M.Bessner S.Bettarini V.Bhardwaj F.Bianchi T.Bilka S.Bilokin D.Biswas G.Bonvicini A.Bozek M.Bračko P.Branchini N.Braun T.E.Browder A.Budano S.Bussino M.Campajola L.Cao G.Casarosa C.Cecchi D.Červenkov M.-C.Chang P.Chang R.Cheaib V.Chekelian Y.Q.Chen Y.-T.Chen B.G.Cheon K.Chilikin H.-E.Cho K.Cho S.Cho S.-K.Choi S.Choudhury D.Cinabro L.Corona L.M.Cremaldi S.Cunliffe T.Czank F.Dattola E.De La Cruz-Burelo G.De Nardo M.De Nuccio G.De Pietro R.de Sangro M.Destefanis S.Dey A.De Yta-Hernandez F.Di Capua S.Di Carlo J.Dingfelder Z.Doležal I.Domínguez Jiménez T.V.Dong K.Dort S.Dubey S.Duell S.Eidelman M.Eliachevitch T.Ferber D.Ferlewicz G.Finocchiaro S.Fiore A.Fodor F.Forti A.Frey B.G.Fulsom M.Gabriel E.Ganiev M.Garcia-Hernandez R.Garg A.Garmash V.Gaur A.Gaz U.Gebauer A.Gellrich J.Gemmler T.Geßler R.Giordano A.Giri B.Gobbo R.Godang P.Goldenzweig B.Golob P.Gomis P.Grace W.Gradl E.Graziani D.Greenwald C.Hadjivasiliou S.Halder K.Hara T.Hara O.Hartbrich K.Hayasaka H.Hayashii C.Hearty M.T.Hedges I.Heredia de la Cruz M.Hernández Villanueva A.Hershenhorn T.Higuchi E.C.Hill H.Hirata M.Hoek S.Hollitt T.Hotta C.-L.Hsu Y.Hu K.Huang T.Iijima K.Inami G.Inguglia J.Irakkathil Jabbar A.Ishikawa R.Itoh M.Iwasaki Y.Iwasaki S.Iwata P.Jackson W.W.Jacobs D.E.Jaffe E.-J.Jang H.B.Jeon S.Jia Y.Jin C.Joo J.Kahn H.Kakuno A.B.Kaliyar G.Karyan Y.Kato T.Kawasaki H.Kichimi C.Kiesling B.H.Kim C.-H.Kim D.Y.Kim S.-H.Kim Y.K.Kim Y.Kim T.D.Kimmel K.Kinoshita C.Kleinwort B.Knysh P.Kodyš T.Koga I.Komarov T.Konno S.Korpar D.Kotchetkov N.Kovalchuk T.M.G.Kraetzschmar P.Križan R.Kroeger J.F.Krohn P.Krokovny W.Kuehn T.Kuhr M.Kumar R.Kumar K.Kumara S.Kurz A.Kuzmin Y.-J.Kwon S.Lacaprara Y.-T.Lai C.La Licata K.Lalwani L.Lanceri J.S.Lange K.Lautenbach I.-S.Lee S.C.Lee P.Leitl D.Levit P.M.Lewis C.Li L.K.Li S.X.Li Y.M.Li Y.B.Li J.Libby K.Lieret L.Li Gioi J.Lin Z.Liptak Q.Y.Liu D.Liventsev S.Longo A.Loos F.Luetticke T.Luo C.MacQueen Y.Maeda M.Maggiora S.Maity E.Manoni S.Marcello C.Marinas A.Martini M.Masuda K.Matsuoka D.Matvienko J.McNeil J.C.Mei F.Meier M.Merola F.Metzner M.Milesi C.Miller K.Miyabayashi H.Miyata R.Mizuk G.B.Mohanty H.Moon T.Morii H.-G.Moser F.Mueller F.J.Müller Th.Muller R.Mussa K.R.Nakamura E.Nakano M.Nakao H.Nakayama H.Nakazawa M.Nayak G.Nazaryan D.Neverov M.Niiyama N.K.Nisar S.Nishida K.Nishimura M.Nishimura M.H.A.Nouxman B.Oberhof S.Ogawa Y.Onishchuk H.Ono Y.Onuki P.Oskin H.Ozaki P.Pakhlov G.Pakhlova A.Paladino T.Pang E.Paoloni H.Park S.-H.Park B.Paschen A.Passeri S.Patra S.Paul T.K.Pedlar I.Peruzzi R.Peschke R.Pestotnik M.Piccolo L.E.Piilonen P.L.M.Podesta-Lerma V.Popov C.Praz E.Prencipe M.T.Prim M.V.Purohit P.Rados M.Remnev P.K.Resmi I.Ripp-Baudot M.Ritter M.Ritzert G.Rizzo L.B.Rizzuto S.H.Robertson D.Rodríguez Pérez J.M.Roney C.Rosenfeld A.Rostomyan N.Rout G.Russo D.Sahoo Y.Sakai D.A.Sanders S.Sandilya A.Sangal L.Santelj P.Sartori Y.Sato V.Savinov B.Scavino M.Schram H.Schreeck J.Schueler C.Schwanda A.J.Schwartz B.Schwenker R.M.Seddon Y.Seino A.Selce K.Senyo M.E.Sevior C.Sfienti C.P.Shen H.Shibuya J.-G.Shiu A.Sibidanov F.Simon S.Skambraks R.J.Sobie A.Soffer A.Sokolov E.Solovieva S.Spataro B.Spruck M.Starič S.Stefkova Z.S.Stottler R.Stroili J.Strube M.Sumihama T.Sumiyoshi D.J.Summers W.Sutcliffe M.Tabata M.Takizawa U.Tamponi S.Tanaka K.Tanida H.Tanigawa N.Taniguchi Y.Tao P.Taras F.Tenchini E.Torassa K.Trabelsi T.Tsuboyama N.Tsuzuki M.Uchida I.Ueda S.Uehara T.Uglov K.Unger Y.Unno S.Uno P.Urquijo Y.Ushiroda S.E.Vahsen R.van Tonder G.S.Varner K.E.Varvell A.Vinokurova L.Vitale A.Vossen E.Waheed H.M.Wakeling K.Wan W.Wan Abdullah B.Wang M.-Z.Wang X.L.Wang A.Warburton M.Watanabe S.Watanuki J.Webb S.Wehle N.Wermes C.Wessel J.Wiechczynski P.Wieduwilt H.Windel E.Won S.Yamada W.Yan S.B.Yang H.Ye J.Yelton J.H.Yin M.Yonenaga Y.M.Yook C.Z.Yuan Y.Yusa L.Zani J.Z.Zhang Z.Zhang V.Zhilich Q.D.Zhou X.Y.Zhou V.I.Zhukova V.Zhulanov A.Zupanc | 2020 | Chinese Physics C2020，44，2： | 2 |
| 5 | Identification of Global DNA Methylation Signatures in Glioblastoma-Derived Cancer Stem Cells显示文摘Glioblastoma(GBM)is the most common and most aggressive primary brain tumor in adults.The existence of a small population of stem-like tumor cells that efficiently propagate tumors and resist cytotoxic therapy is one proposed mechanism leading to the resilient behavior of tumor cells and poor prognosis.In this study,we performed an in-depth analysis of the DNA methylation landscape in GBMderived cancer stem cells(GSCs).Parallel comparisons of primary tumors and GSC lines derived from these tumors with normal controls(a neural stem cell(NSC)line and normal brain tissue)identified groups of hyper- and hypomethylated genes that display a trend of either increasing or decreasing methylation levels in the order of controls,primary GBMs,and their counterpart GSC lines,respectively.Interestingly,concurrent promoter hypermethylation and gene body hypomethylation were observed in a subset of genes including MGMT,AJAP1 and PTPRN2.These unique DNA methylation signatures were also found in primary GBM-derived xenograft tumors indicating that they are not tissue culture-related epigenetic changes.Integration of GSC-specific epigenetic signatures with gene expression analysis further identified candidate tumor suppressor genes that are frequently down-regulated in GBMs such as SPINT2,NEFM and PENK.Forced re-expression of SPINT2 reduced glioma cell proliferative capacity,anchorage independent growth,cell motility,and tumor sphere formation in vitro.The results from this study demonstrate that GSCs possess unique epigenetic signatures that may play important roles in the pathogenesis of GBM. | Eun-Joon Lee Prakash Rath Jimei Liu Dungsung Ryu Lirong Pei Satish K.Noonepalle Austin Y.Shull Qi Feng N.Scott Litofsky Douglas C.Miller Douglas C.Anthony Mark D.Kirk John Laterra Libin Deng Hong-Bo Xin Xinguo Wang Jeong-Hyeon Choi Huidong Shi | 2015 | Journal of Genetics and Genomics2015，42，7： | 1 |
| 6 | Generation of a triple‐gene knockout mammalian cell line using engineered zinc‐finger nucleases显示文摘 | Pei‐QiLiu Edmond M.Chan Gregory J.Cost LinZhang JianbinWang Jeffrey C.Miller Dmitry Y.Guschin AndreasReik Michael C.Holmes John E.Mott Trevor N.Collingwood Philip D.Gregory | 2010 | Biotechnol Bioeng2010，，1： | 1 |
| 7 | The State Role in Teacher Professional Development and Education Throughout Teachers' Careers显示文摘 | Loeb Susanna Luke C.Miller Katharine O.Strunk | | 0，，： | 1 |
| 8 | Lower low‐density lipoprotein cholesterol levels are associated with Parkinson’s disease显示文摘 | XuemeiHuang HongleiChen William C.Miller Richard B.Mailman Jennifer L.Woodard Peter C.Chen DongXiang Richard W.Murrow Yi‐ZheWang CharlesPoole | 2007 | Mov Disord2007，，3： | 1 |
| 9 | A primer on the use of probability generating functions in infectious disease modeling显示文摘We explore the application of probability generating functions(PGFs)to invasive processes,focusing on infectious disease introduced into large populations.Our goal is to acquaint the reader with applications of PGFs,moreso than to derive new results.PGFs help predict a number of properties about early outbreak behavior while the population is still effectively infinite,including the probability of an epidemic,the size distribution after some number of generations,and the cumulative size distribution of non-epidemic outbreaks.We show how PGFs can be used in both discrete-time and continuous-time settings,and discuss how to use these results to infer disease parameters from observed outbreaks.In the large population limit for susceptible-infected-recovered(SIR)epidemics PGFs lead to survival-function based models that are equivalent to the usual mass-action SIR models but with fewer ODEs.We use these to explore properties such as the final size of epidemics or even the dynamics once stochastic effects are negligible.We target this primer at biologists and public health researchers with mathematical modeling experience who want to learn how to apply PGFs to invasive diseases,but it could also be used in an applications-based mathematics course on PGFs.We include many exercises to help demonstrate concepts and to give practice applying the results.We summarize our main results in a few tables.Additionally we provide a small python package which performs many of the relevant calculations. | Joel C.Miller | 2018 | Infectious Disease Modelling2018，3，1： | 1 |
| 10 | Impact of tertiary Gleason pattern 5 on prostate cancer aggressiveness:Lessons from a contemporary single institution radical prostatectomy series显示文摘Objective:To better evaluate tertiary Gleason pattern reporting and to evaluate the impact of tertiary Gleason pattern 5(TP5)on prostate cancer pathological features and biochemical recurrence at our large single institution.Methods:We retrospectively reviewed 1962 patients who underwent radical prostatectomy(RP)for prostate cancer;TP5 was reported in 159 cases(8.1%).Men with Gleason score(GS)7 and GS 8 disease were divided into subgroups with and without TP5,and histopathological features were compared.Multivariate analyses were conducted to assess the impact on TP5 on biochemical-free survival(BFS).Results:Tumors possessing GS 3+4 with TP5 were more likely to exhibit extraprostatic extension(EPE)and had a larger tumor diameter(TD)than GS 3+4 alone.GS 3+4 with TP5 was also associated with positive surgical margins(SM),seminal vesicle involvement(SVI),and higher pre-operative prostate-specific antigen(PSA)values,but without statistical significance.GS 4+3 with TP5 more commonly presented with EPE,positive SM,SVI,and greater TD and pre-operative PSA level than GS 4+3 alone.In multivariate analysis,Gleason score,EPE,and TP5 were overall independent risk factors for PSA recurrence in this cohort.Additionally,GS 4+3 with TP5 was associated with shorter time to recurrence versus GS 4+3 alone.Conclusion:Our results emphasize the importance of TP5 and suggest that criteria for tertiary pattern reporting in prostate cancer should be standardized.Further studies are needed to evaluate the role of tertiary patterns in prognostic models. | Zachary B.Koloff Daniel A.Hamstra John T.Wei Jeffrey S.Montgomery Scott A.Tomlins Angela J.Wu Todd M.Morgan Javed Siddiqui Kellie Paich Arul M.Chinnaiyan Felix Y.Feng Alon Z.Weizer Lakshmi P.Kunju Brent K.Hollenbeck David C.Miller Ganesh S.Palapattu Rohit Mehra | 2015 | Asian Journal of Urology2015，2，1： | 1 |
| 11 | Local regulation of human breast xenograft models显示文摘 | Jodie M.Fleming Tyler C.Miller Matthew J.Meyer ErikaGinsburg Barbara K.Vonderhaar | 2010 | J Cell Physiol2010，，3： | 1 |
| 12 | Microsatellite DNA and recent statistical methods in wildlife conservation management: applications in Alpine ibex [Capra ibex (ibex)]显示文摘 | C.Maudet C.Miller B.Bassano C.Breitenmoser‐Würsten D.Gauthier G.Obexer‐Ruff J.Michallet P.Taberlet G.Luikart | 2002 | Molecular Ecology2002，，3： | 1 |
| 13 | 杰克逊的复活节显示文摘半夜时分,下起了瓢泼大雨。俄亥俄州杰克逊的人们被雨声惊醒,但很快地又进入了梦乡。第二天,雨未停,水开始上涨了。据统计,杰克逊每100年发一次水灾,但谁也没有想到这次大雨导致了这场世纪之灾。 | 梁雍荣 Allison C.Miller | 2009 | 中学生英语(初中版九年级)2009，，4： | 0 |
| 14 | 3C^(pro)of FMDV inhibits type II interferon-stimulated JAK-STAT signaling pathway by blocking STAT1 nuclear translocation显示文摘Foot-and-mouth disease virus(FMDV)has developed various strategies to antagonize the host innate immunity.FMDV Lpro and 3Cpro interfere with type I IFNs through different mechanisms.The structural protein VP3 of FMDV degrades Janus kinase 1 to suppress IFN-γsignaling transduction.Whether non-structural proteins of FMDV are involved in restraining type II IFN signaling pathways is unknown.In this study,it was shown that FMDV replication was resistant to IFN-γtreatment after the infection was established and FMDV inhibited type II IFN induced expression of IFN-γ-stimulated genes(ISGs).We also showed for the first time that FMDV non-structural protein 3C antagonized IFN-γ-stimulated JAK-STAT signaling pathway by blocking STAT1 nuclear translocation.3C^(pro)expression significantly reduced the ISGs transcript levels and palindromic gamma-activated sequences(GAS)promoter activity,without affecting the protein level,tyrosine phosphorylation,and homodimerization of STAT1.Finally,we provided evidence that 3C protease activity played an essential role in degrading KPNA1 and thus inhibited ISGs mRNA and GAS promoter activities.Our results reveal a novel mechanism by which an FMDV non-structural protein antagonizes host type II IFN signaling. | Xiangju Wu Lei Chen Chao Sui Yue Hu Dandan Jiang Fan Yang Laura C.Miller Juntong Li Xiaoyan Cong Nataliia Hrabchenko Changhee Lee Yijun Du Jing Qi | 2023 | Virologica Sinica2023，38，3： | 0 |
| 15 | 杰克逊的复活节显示文摘半夜时分,下起了瓢泼大雨。俄亥俄州杰克逊的人们被雨声惊醒,但很快地又进入了梦乡。第二天,雨未停,水开始上涨了。据统计,杰克逊每100年发一次水灾,但谁也没有想到这次大雨导致了这场世纪之灾。人们顾不上携带财物,匆匆从家里撤离,逃向高地。 | Allison C.Miller 王乐鹏(译) | 2011 | 英语广场(美丽英文)2011，，3： | 0 |
| 16 | 杰克逊的复活节显示文摘[参考译文]半夜时分,下起了瓢泼大雨。俄亥俄州杰克逊的人们被雨声惊醒,但很快地又进入了梦乡。第二天,雨未停,水开始上涨了。据统计,杰克逊每100年发一次水灾,但谁也没有想到这次大雨导致了这场世纪之灾。人们顾不上携带财物,匆匆从家里撤离,逃向高地。洼地里的建筑浸泡在水中。人们眼睁睁地看着狗、猫、牛和其他动物被大水冲走,连汽车和卡车也被冲到离家几英里外的地方。看着老天爷发威,人们束手无策。我的同屋苏珊那个周末正在她杰克逊的家中,那天是1997年3月3日。当她回到我们在代顿大学的'贫民窟'时,她给我们讲了关于洪水的事,以及她在洪水中毁坏的粉蓝色贝里塔车。 | Allison C.Miller 王乐鹏 | 2002 | 英语文摘2002，0，12： | 0 |
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