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3篇 您的检索式:作者名="I.Yu"
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1可作为天然产物资源的药用植物研究进展(英文)显示文摘在制药行业中,天然产物是药物来源之一,而天然产物的主要来源则为药用植物。药用植物常用来治疗某些特定疾病,并可能成为潜在药物的来源。菲律宾卫生部批准了10种药用植物,分别蒜(Al ium sativum)、艾纳香(Blumea balsamifera)、翅荚决明(Cassia alata)、柠檬薄荷(Clinopodium douglasii)、福建茶(Ehretia microphyl a)、苦瓜(Momordica charantia)、草胡椒(Peperomia pellucida)、番石榴(Psidium guajava)、使君子(Quisqualis indica)和黄荆(Vitex negundo)。研究证明这些药用植物能够治疗感染和某些疾病。我们发现蒜能治疗伤口、高血压和牙痛;艾纳香对高血压的利尿治疗有效;翅荚决明能治疗疥疮、真菌感染、脚癣、黄癣、环癣;柠檬薄荷能治疗肌肉疼痛、关节炎、风湿病、咳嗽、头痛;小叶厚壳树能治疗腹泻和胃痛;苦瓜能治疗糖尿病;草胡椒能治疗痛风和风湿病;番石榴能治疗伤口和腹泻;使君子是一种驱虫药;而黄荆能治疗咳嗽、哮喘和发热。综上,这10种药用植物都含有可用作潜在药物来源的天然产物。然而,仍有许多民族植物物种尚未得到充分研究,并可能成为潜在药物的来源。因此,应该对其他植物物种进行更多的研究,特别是对于实际应用的植物。Henry Ivanz A.Boy Alfred Joshua H.Rutilla Kimbberly A.Santos Allister Matthew T.Ty Alicia I.Yu Tooba Mahboob Jitbanjong Tangpoong Veeranoot Nissapatorn 2018Digital Chinese Medicine2018,1,2:1
2Electron field emission and structural properties of carbon chemically vapor-deposited films显示文摘A.N Obraztsov I.Yu Pavlovsky A.P Volkov A.S Petrov V.I Petrov E.V Rakova V.V Roddatis 1999Diamond & Related Materials1999,,2:1
3R&D of back-end electronics for improved resistive plate chambers for the phase 2 upgrade of the CMS end-capmuon system显示文摘Purpose The Large Hadron Collider(LHC)at European Organization for Nuclear Research is planned to be upgraded to the high luminosity LHC.Increasing the luminosity makes muon triggering reliable and offline reconstruction very challenging.To enhance the redundancy of the Compact Muon Solenoid(CMS)Muon system and resolve the ambiguity of track reconstruction in the forward region,an improved Resistive Plate Chamber(iRPC)with excellent time resolution will be installed in the Phase-2 CMS upgrade.The iRPC will be equipped with Front-End Electronics(FEE),which can perform high-precision time measurements of signals from both ends of the strip.New Back-End Electronics(BEE)need to be researched and developed to provide sophisticated functionalities such as interacting with FEE with shared links for fast,slow control(SC)and data,in addition to trigger primitives(TPs)generation and data acquisition(DAQ).Method The BEE prototype uses a homemade hardware board compatible with the MTCA standard,the back-end board(BEB).BEE interacts with FEE via a bidirectional 4.8 Gbps optical paired-link that integrates clock,data,and control information.The clock and fast/slow control commands are distributed from BEB to the FEE via the downlink.The uplink is used for BEB to receive the time information of the iRPC’sfired strips and the responses to the fast/slow control commands.To have a pipelined detector data for clusterfinding operation,recover(DeMux)the time relationship of which is changed due to the transmission protocol for the continuous incoming MUXed data from FEE.Then at each bunch crossing(BX),clusteringfired strips that satisfy time and spatial constraints to generate TPs.Both incoming raw MUXed detector data and TPs in a time window and latency based on the trigger signal are read out to the DAQ system.Gigabit Ethernet(GbE)of SiTCP and commercial 10-GbE are used as link standards for SC and DAQ,respectively,for the BEB to interact with the server.Results The joint test results of the BEB with iRPC and Front-End Board(FEB)show a Bit Error Rate of the transmission links less than 1×10-16,a time resolution of the FEB Time-to-Digital Converter of 16 ps,and the resolution of the time difference between both ends of 160 ps which corresponding a spatial resolution of the iRPC of approximately 1.5 cm.Conclusion Test results showed the correctness and stable running of the BEB prototype,of which the functionalities fulfill the iRPC requirements.H.Kou Z.-A.Liu J.Zhao J.Song Q.Hou W.Diao P.Cao W.Gong N.Wang A.Samalan M.Tytgat M.El Sawy G.A.Alves F.Marujo E.A.Coelho F.Torres Da Silva De Araujo E.M.Da Costa H.Nogima A.Santoro S.Fonseca De Souza D.De Jesus Damiao M.Thiel M.Barroso Ferreira Filho K.Mota Amarilo A.Aleksandrov R.Hadjiiska P.Iaydjiev M.Rodozov M.Shopova G.Sultanov A.Dimitrov L.Litov B.Pavlov P.Petkov A.Petrov E.Shumka S.J.Qian C.Avila D.Barbosa A.Cabrera A.Florez J.Fraga J.Reyes Y.Assran M.A.Mahmoud Y.Mohammed I.Laktineh G.Grenier M.Gouzevitch L.Mirabito K.Shchablo C.Combaret W.Tromeur G.Galbit A.Luciol X.Chen I.Bagaturia I.Lomidze Z.Tsamalaidze V.Amoozegar B.Boghrati M.Ebraimi E.Zareian M.Mohammadi Najafabadi M.Abbrescia G.Iaselli G.Pugliese F.Loddo N.De Filippis R.Aly D.Ramos W.Elmetenawee S.Leszki I.Margjeka D.Paesani L.Benussi S.Bianco D.Piccolo S.Meola S.Buontempo F.Carnevali L.Lista P.Paolucci F.Fienga A.Braghieri P.Salvini P.Montagna C.Riccardi P.Vitulo E.Asilar J.Choi T.J.Kim S.Y.Choi B.Hong K.S.Lee H.Y.Oh J.Goh I.Yu C.Uribe Estrada I.Pedraza H.Castilla-Valdez R.L.Fernandez A.Sanchez-Hernandez E.Vazquez M.Ramirez-Garcia N.Zaganidis A.Radi H.Hoorani S.Muhammad A.Ahmad I.Asghar M.A.Shah W.A.Khan J.Eysermans I.Crotty on behalf of the CMS Muon Group 2022Radiation Detection Technology and Methods2022,6,3:0
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