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| 1 | 老年人尿失禁的流行病学和病因学显示文摘尿失禁是老年人的一个普遍问题。22%~34%的妇女声称患过尿失禁。其患病率随尿失禁程度和询问方式不同而变化很大。65岁以上妇女按尿失禁保守定义即常见的尿失禁或按限制定义即压迫性尿失禁,其患病率为10%~30%。这一患病率在长期疗养院内还要高且随被检人群的年龄上升而增高。男性发病率为25%或低于妇女。 | Edward J.McGuire Martin Resnick S.V.Yalla Ruth Kirschner-Hermanns Enrique Broseta Cath McGrother Christa Müller Annette Welz-Barth G.Ch.Fischer Johann Mattelaer 李小刚 | 1999 | 德国医学1999，16，6： | 4 |
| 2 | Early detection of infected ureteral obstruction after SWL employing C-reactive protein显示文摘 | Wolff JM Boeckmann N Mattelaer P | | 0，，： | 1 |
| 3 | Adenocarcinoma of the urachus:3 case reports and a review of the literature显示文摘 | Mattelaer P Wolff JM Jung P | 1997 | Acta Urol Belg1997，65，3： | 1 |
| 4 | In situ extracorporeal shock wave lithotripsy of distal ureteral stones: parameters for therapeutic success显示文摘 | Mattelaer P Schroder T Fischer N | 1994 | Urol Int1994，53，： | 1 |
| 5 | Adenocarcinoma of the urachus:3 case reports and a review of the literature显示文摘 | Mattelaer P Wolff JM Jung P | 1997 | Acta Urol Belg1997，65，1： | 1 |
| 6 | Early detection of infected ureteral obstruction after SWL employing C-reactive protein显示文摘 | Wolff JM Boeckmann W Mattelaer P | 1996 | Journal of Endocrinology1996，，06： | 1 |
| 7 | Plasma-enhanced atomic layer deposition of iron phosphate as a positive electrode for 3D lithium-ion microbatteries显示文摘 | DOBBELAERE T MATTELAER F DENDOOVEN J | 2016 | Chemistry of Materials2016，28，10： | 1 |
| 8 | In situ ex tracorporeal shock wave lithotripsy of distal ureteralstones:parameters for therapeutic success显示文摘 | Mattelaer P Schroder T Fischer N | 1994 | UrolInt1994，53，1： | 1 |
| 9 | In situ ex- tracorporeal shockwave lithotripsy of distal ureteral stones: parameters for the rapeutic success显示文摘 | Mattelaer P Sshroder T Fischer N etal | 1994 | Urol Int1994，53，： | 1 |
| 10 | Long-term results with immediate androgen suppression and external irradiation in patients with locally advanced prostate cancer (an EORTC study): a phase III randomised trial显示文摘 | Michel Bolla Laurence Collette Léo Blank Padraig Warde Jean Bernard Dubois René-Olivier Mirimanoff Guy Storme Jacques Bernier Abraham Kuten Cora Sternberg Johan Mattelaer José Lopez Torecilla J Rafael Pfeffer Carmel Lino Cutajar Alfredo Zurlo Marianne Pie | 2002 | The Lancet . 2002 (9327)2002，，： | 1 |
| 11 | Evaluation of possible tissue damage in patients undergoing extracorporeal shock wave therapy employing C-reactive proteip显示文摘 | Mattelaer P Boeckmann W | 1997 | Scand J Urol Nephrol1997，31，： | 1 |
| 12 | Early detection of infected ureterol lbstruction after swl employing C-reactire protein显示文摘 | Wolff J M Boeckmann W Mattelaer P | 1996 | J Endourol1996，10，6： | 1 |
| 13 | Experimental demonstration of SnO₂nanofiber-based memristors and their data-driven modelingfor nanoelectronic applications显示文摘This paper demonstrated the fabrication,characterization,datadriven modeling,and practical application of a 1D SnO_(2)nanofiber-based memristor,in which a 1D SnO_(2)active layer wassandwiched between silver(Ag)and aluminum(Al)electrodes.Thisdevice yielded a very high ROFF:RON of~104(ION:IOFF of~105)with an excellent activation slope of 10 mV/dec,low set voltage ofVSET~1.14 V and good repeatability.This paper physically explained the conduction mechanism in the layered SnO_(2)nanofiber-basedmemristor.The conductive network was composed of nanofibersthat play a vital role in the memristive action,since more conductive paths could facilitate the hopping of electron carriers.Energyband structures experimentally extracted with the adoption of ultraviolet photoelectron spectroscopy strongly support the claimsreported in this paper.An machine learning(ML)–assisted,datadriven model of the fabricated memristor was also developedemploying different popular algorithms such as polynomialregression,support vector regression,k nearest neighbors,andartificial neural network(ANN)to model the data of the fabricateddevice.We have proposed two types of ANN models(type I andtype II)algorithms,illustrated with a detailed flowchart,to modelthe fabricated memristor.Benchmarking with standard ML techniques shows that the type II ANN algorithm provides the bestmean absolute percentage error of 0.0175 with a 98%R^(2)score.The proposed data-driven model was further validated with the characterization results of similar new memristors fabricated adoptingthe same fabrication recipe,which gave satisfactory predictions.Lastly,the ANN type II model was applied to design and implementsimple AND&OR logic functionalities adopting the fabricatedmemristors with expected,near-ideal characteristics. | Soumi Saha Madadi Chetan Kodand Reddy Tati Sai Nikhil Kaushik Burugupally Sanghamitra DebRoy Akshay Salimath Venkat Mattela Surya Shankar Dan Parikshit Sahatiya | 2023 | Chip2023，2，4： | 0 |
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