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13篇 您的检索式:作者名="Ruslan K"
    题名 作者 年代 出处 被引量
1Micropropagation and production of eurycomanone, 9-methoxycanthin-6-one and can-thin-6-one in roots of Eurycoma longifolia plantlets 显示文摘Hassan N Ruslan A Ling S K 2012African Journal of Biotechnology2012,,:1
2QSRR correlation of free-radical polymerization chaintransfer constants for styrene显示文摘FREDERICK I H RUSLAN P MATI K 2001Chem Inf Comput Sci2001,41,:1
3Development and internal validation of the Comprehensive ALPPS Preoperative Risk Assessment(CAPRA)score:is the patient suitable for Associating Liver Partition and Portal vein ligation for Staged hepatectomy(ALPPS)?显示文摘Background:Preoperative patient selection in Associating Liver Partition and Portal vein ligation for Staged hepatectomy(ALPPS)is not always reliable with currently available scores,particularly in patients with primary liver tumor.This study aims to(I)to determine whether comorbidities and patients characteristics are a risk factor in ALPPS and(II)to create a score predicting 90-day mortality preoperatively.Methods:Thirteen high-volume centers participated in this retrospective multicentric study.A risk analysis based on patient characteristics,underlying disease and procedure type was performed to identify risk factors and model the Comprehensive ALPPS Preoperative Risk Assessment(CAPRA)score.A nonparametric receiver operating characteristic analysis was performed to estimate the predictive ability of our score against the Charlson Comorbidity Index(CCI),the age-adjusted CCI(aCCI),the ALPPS risk score before Stage 1(ALPPS-RS1)and Stage 2(ALPPS-RS2).The model was internally validated applying bootstrapping.Results:A total of 451 patients were included.Mortality was 14.4%.The CAPRA score is calculated based on the following formula:(0.1×age)−(2×BSA)+1(in the presence of primary liver tumor)+1(in the presence of severe cardiovascular disease)+2(in the presence of moderate or severe diabetes)+2(in the presence of renal disease)+2(if classic ALPPS is planned).The predictive ability was 0.837 for the CAPRA score,0.443 for CCI,0.519 for aCCI,0.693 for ALPPS-RS1 and 0.807 for ALPPS-RS2.After 1,000 cycles of bootstrapping the C statistic was 0.793.The accuracy plot revealed a cut-off for optimal prediction of postoperative mortality of 4.70.Conclusions:Comorbidities play an important role in ALPPS and should be carefully considered when planning the procedure.By assessing the patient’s preoperative condition in relation to ALPPS,the CAPRA score has a very good ability to predict postoperative mortality.Ivan Capobianco Karl J.Oldhafer Mohammed-Hossein Fard-Aghaie Ricardo Robles-Campos Roberto Brusadin Henrik Petrowsky Michael Linecker Arianeb Mehrabi Katrin Hoffmann Jun Li Asmus Heumann Roberto Hernandez-Alejandro Mauro Enrique Tun-Abraham Elio Jovine Matteo Serenari Bergthor Bjornsson Per Sandström Ruslan Alikhanov Mikhail Efanov Paolo Muiesan Andrea Schlegel Thomas M.van Gulik Pim B.Olthof Gregor Alexander Stavrou Lina Maria Serna-Higuita Alfred Königsrainer Silvio Nadalin 2022Hepatobiliary Surgery and Nutrition2022,11,1:1
4Review of Solar Dryers for Agricultural and Marine Products显示文摘FUDHOLI A SOPIAN K RUSLAN M H 2010Re- uewable and Sustainable Energy Reviews2010,14,1:1
5QSPR Analysis of Flash PointsChem显示文摘Alan R K Ruslan P Ritu J et aI 2001Inf Comput Sci2001,41,6:1
6Review of solar dryers for agricultural and marine products 显示文摘A Fudholi K Sopian M H Ruslan 2009Renewable and Sus- tainable Energy Reviews2009,14,1:1
7IRAP and REMAP for retrotransposon-based genotyping and fingerprinting显示文摘Ruslan K Alan H S 2006Nature protocols2006,1,5:1
8Analytical and Experimental Studies on the Thermal Efficiency of the Double Pass Solar Air Collector with Finned Absorber 显示文摘AHMAD F SOPIAN K RUSLAN M H 2011American Journal of Applied Sciences2011,8,7:1
9Review of solar air collectors with thermal storage units显示文摘Alkilani M M Sopian K Alghoul M A Sohif M Ruslan M H 2011Renewable and Sustainable Energy Reviews2011,15,:1
10Advances in liquid based pho- tovoltaic/thermal (PV/T) collectors 显示文摘Daghigh R Ruslan M H Sophian K 2011Renewable and Sustainable Energy Reviews2011,,15:1
11S-band coaxial vircator with electron beam premodulation based on compact linear transformer driver显示文摘Boris M K Sergey D P Ruslan V T 2010IEEE Trans on Plasma Sci2010,38,28:1
12Strengthening and grain refinement in an AI-6061 metal matrix composite through intense plastic straining 显示文摘Ruslan Z Rinat K Nina F et ol 1998Scripta Materialia1998,40,1:1
13Observation of a single protein by ultrafast X-ray diffraction显示文摘The idea of using ultrashort X-ray pulses to obtain images of single proteins frozen in time has fascinated and inspired many.It was one of the arguments for building X-ray free-electron lasers.According to theory,the extremely intense pulses provide sufficient signal to dispense with using crystals as an amplifier,and the ultrashort pulse duration permits capturing the diffraction data before the sample inevitably explodes.This was first demonstrated on biological samples a decade ago on the giant mimivirus.Since then,a large collaboration has been pushing the limit of the smallest sample that can be imaged.The ability to capture snapshots on the timescale of atomic vibrations,while keeping the sample at room temperature,may allow probing the entire conformational phase space of macromolecules.Here we show the first observation of an X-ray diffraction pattern from a single protein,that of Escherichia coli GroEL which at 14 nm in diameter is the smallest biological sample ever imaged by X-rays,and demonstrate that the concept of diffraction before destruction extends to single proteins.From the pattern,it is possible to determine the approximate orientation of the protein.Our experiment demonstrates the feasibility of ultrafast imaging of single proteins,opening the way to single-molecule time-resolved studies on the femtosecond timescale.Tomas Ekeberg Dameli Assalauova Johan Bielecki Rebecca Boll Benedikt J.Daurer Lutz A.Eichacker Linda E.Franken Davide E.Galli Luca Gelisio Lars Gumprecht Laura H.Gunn Janos Hajdu Robert Hartmann Dirk Hasse Alexandr Ignatenko Jayanath Koliyadu Olena Kulyk Ruslan Kurta Markus Kuster Wolfgang Lugmayr Jannik Lübke Adrian P.Mancuso Tommaso Mazza Carl Nettelblad Yevheniy Ovcharenko Daniel E.Rivas Max Rose Amit K.Samanta Philipp Schmidt Egor Sobolev Nicusor Timneanu Sergey Usenko Daniel Westphal Tamme Wollweber Lena Worbs Paul Lourdu Xavier Hazem Yousef Kartik Ayyer Henry N.Chapman Jonas A.Sellberg Carolin Seuring Ivan A.Vartanyants Jochen Küpper Michael Meyer Filipe R.N.C.Maia 2024Light(Science & Applications)2024,13,1:0
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