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| 1 | 基于SP调查的天津市居民出行行为时间价值显示文摘为揭示天津市居民出行行为时间价值的一般规律,采用SP调查中的卡片式面谈调查法,运用市场细分法确定调查规模及抽样率,采用计算包容性检查矩阵等数据处理手段,估算天津市居民出行行为时间价值。比较了出行行为时间价值与单位工作时间价值之间的关系,并分析了不同出行方式、出行目的、出行时段的时间价值,研究了出行收入与时间价值的变化规律。得出现阶段天津市居民出行行为时间价值的分布,表明大部分出行者不愿为出行支付较高费用,但随着收入增加,出行行为时间价值将会快速增长,使个体机动化出行方式的需求增大,城市出行方式结构可能出现拐点。 | 蒋寅 李彤 Richard F.Di Bona | 2009 | 城市交通2009，7，2： | 14 |
| 2 | Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context显示文摘This paper models the complex simultaneous localization and mapping(SLAM) problem through a very flexible Markov random field and then solves it by using the iterated conditional modes algorithm. Markovian models allow to incorporate: any motion model; any observation model regardless of the type of sensor being chosen; prior information of the map through a map model; maps of diverse natures; sensor fusion weighted according to the accuracy. On the other hand, the iterated conditional modes algorithm is a probabilistic optimizer widely used for image processing which has not yet been used to solve the SLAM problem. This iterative solver has theoretical convergence regardless of the Markov random field chosen to model. Its initialization can be performed on-line and improved by parallel iterations whenever deemed appropriate. It can be used as a post-processing methodology if it is initialized with estimates obtained from another SLAM solver. The applied methodology can be easily implemented in other versions of the SLAM problem, such as the multi-robot version or the SLAM with dynamic environment. Simulations and real experiments show the flexibility and the excellent results of this proposal. | J.Gimenez A.Amicarelli J.M.Toibero F.di Sciascio R.Carelli | 2018 | International Journal of Automation and computing2018，15，3： | 2 |
| 3 | 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 |
| 4 | Randomized clinical trial of omega‐3 fatty acid‐supplemented enteral nutrition versus standard enteral nutrition in patients undergoing oesophagogastric cancer surgery显示文摘 | J.Sultan S. M.Griffin F.Di Franco J. A.Kirby B. K.Shenton C. J.Seal P.Davis Y. K. S.Viswanath S. R.Preston N.Hayes | 2012 | Br J Surg2012，，3： | 1 |
| 5 | Randomized clinical trial of omega‐3 fatty acid‐supplemented enteral nutrition versus standard enteral nutrition in patients undergoing oesophagogastric cancer surgery显示文摘 | J.Sultan S. M.Griffin F.Di Franco J. A.Kirby B. K.Shenton C. J.Seal P.Davis Y. K. S.Viswanath S. R.Preston N.Hayes | 2012 | Br J Surg2012，，3： | 1 |
| 6 | Pantoprazole versus one‐week Helicobacter pylori eradication therapy for the prevention of acute NSAID‐related gastroduodenal damage in elderly subjects显示文摘 | A.Pilotto F.Di Mario M.Franceschi G.Leandro G.Battaglia B.Germanà R.Marin G.Valerio | 2001 | Alimentary Pharmacology & Therapeutics2001，，8： | 1 |
| 7 | A potential role for the vanilloid receptor TRPV1 in the therapeutic effect of curcumin in dinitrobenzene sulphonic acid‐induced colitis in mice显示文摘 | L.Martelli E.Ragazzi F.Di Mario M.Martelli I.Castagliuolo M.Dal Maschio G.Palù M.Maschietto M.Scorzeto S.Vassanelli P.Brun | 2007 | Neurogastroenterology & Motility2007，，8： | 1 |
| 8 | Early Withdrawal of Calcineurin Inhibitors and Everolimus Monotherapy in de novo Liver Transplant Recipients Preserves Renal Function显示文摘 | M.Masetti R.Montalti G.Rompianesi M.Codeluppi R.Gerring A.Romano B.Begliomini F.Di Benedetto G. E.Gerunda | 2010 | American Journal of Transplantation2010，，10： | 1 |
| 9 | Cardiac PET/CT and Prognosis显示文摘Positron emission tomography(PET)is a powerful noninvasive imaging tool for phenotyping patients at risk of or with known coronary artery disease(CAD).One of the key advantages over other imaging modalities is its unique ability to quantify physiologic processes,including myocardial blood fl ow(in milliliters per minute per gram of myocardium),metabolism,and cardiac receptors,and its high sensitivity for delineating and quantifying molecular targets in vivo using targeted imaging probes.Cardiac PET/CT offers opportunity for a comprehensive noninvasive evaluation of the consequences of atherosclerosis in the coronary arteries and the myocardium. | Patrycja Galazka Marcelo F.Di Carli | 2016 | Cardiovascular Innovations and Applications2016，，B12： | 1 |
| 10 | Continuous Probabilistic SLAM Solved via Iterated Conditional Modes显示文摘This article proposes a simultaneous localization and mapping(SLAM) version with continuous probabilistic mapping(CPSLAM), i.e., an algorithm of simultaneous localization and mapping that avoids the use of grids, and thus, does not require a discretized environment. A Markov random field(MRF) is considered to model this SLAM version with high spatial resolution maps. The mapping methodology is based on a point cloud generated by successive observations of the environment, which is kept bounded and representative by including a novel recursive subsampling method. The CP-SLAM problem is solved via iterated conditional modes(ICM), which is a classic algorithm with theoretical convergence over any MRF. The probabilistic maps are the most appropriate to represent dynamic environments, and can be easily implemented in other versions of the SLAM problem, such as the multi-robot version. Simulations and real experiments show the flexibility and excellent performance of this proposal. | J.Gimenez A.Amicarelli J.M.Toibero F.di Sciascio R.Carelli | 2019 | International Journal of Automation and computing2019，16，6： | 0 |
| 11 | Staying alive on an active volcano:80 years population dynamics of Cytisus aeolicus(Fabaceae)from Stromboli(Aeolian Islands,Italy)显示文摘Cytisus aeolicus is a narrow endemic species restricted to the Aeolian archipelago(SE Tyrrhenian Sea,Italy)and it is one of the most evolutionarily isolated plants in the Mediterranean flora.Historical and literature data suggest that both metapopulations and isolated individuals of C.aeolicus are gradually shrinking.Field investigations and drone images demonstrate that the C.aeolicus metapopulation from Stromboli experienced a strikingly fast increase during the last decades.As of 2019,more than 7000±3000 mature individuals occur on Stromboli,i.e.14 to 20 times more than those counted during the last census,25 years ago.The diachronic analysis of aerial photos concerning last 80 years and the analysis of the growth rings of some selected plants pointed out that the surface occupied,the demographic structure and the distribution pattern of the subpopulations of Stromboli has been highly fluctuating during last decades.Moreover,data issuing from field observations in permanent plots placed in a transect between two isolated mature individuals showed that,under natural conditions,the germination rate of the seedlings of C.aeolicus can be very high and their establishment rate may exceed 40%.By contrast,seedlings mortality is subject to strong annual fluctuations.Additionally,the pollen morphology of the Strombolian metapopulation of this rare and isolated species is studied here for the first time.Contrary to what is stated in recent literature,the C.aeolicus metapopulation from Stromboli is healthy and very dynamic,albeit frequently damaged by the volcanic activity.Regular and repeated field surveys carried out during 3 years(2017-2019)allowed improving our knowledge on the life cycle of C.aeolicus and a new extinction risk assessment of the species,according to IUCN criteria,is presented. | R.Zaia S.Pasta F.Di Rita V.A.Laudicina P.Lo Cascio D.Magri A.Troia R.Guarino | 2020 | Ecological Processes2020，9，1： | 0 |
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