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5 个结果
  • 简介:<正>Weobtaimanewsubstitutionformodulesoverexchangeringssatisfvingrelatedcompara-bilitv.Alsoweinvestigatethestructureofmodulesoverexchangeringssatisfyingpowercomparabilityandprovideanewclassofexchangeringssatisfyingrelatedcomparability.

  • 标签: RELATED comparability POWER comparability EXCHANGE RING
  • 简介:理解森林生态系统土壤水分蒸发蒸腾损失总量(et)为水有限环境是关键的,特别地,缺乏象是的西北中国的更低的Heihe河盆那样的足够的确定的数据的那些首先由TamarixramosissimaLedeb统治了。并且PopuluseuphraticaOliv。森林。因此,我们为2选择了成长季节?在类似的气象学的条件到下面的二个如此的森林的年(2012和2014)比较et使用旋涡协变性(EC)技术。在成长季节期间,T的每日的et。ramosissima从0.3~8.0?公里?有3.6的一个平均数的天1?公里?天1,和P的每日的et。euphratica从0.9~7.9?公里?有4.6的一个平均数的天1?公里?为548和707的一个总数的天1?公里分别地。P的显著地更高的et。euphratica看台直接被连接高从灌溉在足够的水可获得性下面玷污蒸发率。当土壤蒸发被不顾时,水使用比得上二对比河边的森林,P。有465的全部的蒸发的euphratica森林?公里和T。有473的ramosissima森林?公里。回归分析证明气候因素在两种森林类型占了至少80%et变化。在结论,河边的森林的水使用在这个干旱区域低、可比较,建议长期的植物改编到水可获得性的本地气候和条件。

  • 标签: 土壤水分蒸发蒸腾损失总量 森林生态系统 中国 西北 长季节 气象学
  • 简介:ThespinelferritesMnFe2O4nanowiresweresynthesizedbyhydrothermalroute,porousMnFe2O4andnanoparticlesmorphologiesweresynthesizedbysol-gelmethodwitheggwhite.Thestructures,morphologies,magneticpropertiesandadsorptionpropertiesoftheseobtainedferriteswithdifferentmorphologieswerestudiedcontrastively.Resultsshowthattheobtainedsamplesexhibitferromagneticproperties.Thisrealizesconvenientmagneticseparationfromsolutionwhentheyareusedinthetreatmentoforganicdyeswastewater.However,thecontrastivestudiesshowthatthesaturationmagnetizations(Ms)ofMnFe2O4withdifferentmorphologiesaredifferentandtheMsfollowstheorder:Ms(porous)

  • 标签: 多孔结构 吸附性能 磁学性质 纳米粒子 纳米线 MnFe2O4
  • 简介:AbstractBackground:Aspirin has demonstrated safety and efficacy for venous thromboembolism (VTE) prophylaxis following total hip arthroplasty (THA); however, inconsistent dose regimens have been reported in the literature. This study aimed to evaluate and compare the safety and efficacy of 100 mg aspirin twice daily with rivaroxaban in VTE prophylaxis following THA.Methods:Patients undergoing elective unilateral primary THA between January 2019 and January 2020 were prospectively enrolled in the study and randomly allocated to receive 5 weeks of VTE prophylaxis with either oral enteric-coated aspirin (100 mg twice daily) or rivaroxaban (10 mg once daily). Medication safety and efficacy were comprehensively evaluated through symptomatic VTE incidence, deep vein thrombosis (DVT) on Doppler ultrasonography, total blood loss (TBL), laboratory bloodwork, Harris hip score (HHS), post-operative recovery, and the incidence of other complications.Results:We included 70 patients in this study; 34 and 36 were allocated to receive aspirin and rivaroxaban prophylaxis, respectively. No cases of symptomatic VTE occurred in this study. The DVT rate on Doppler ultrasonography in the aspirin group was not significantly different from that in the rivaroxaban group (8.8% vs. 8.3%, χ2 = 0.01, P = 0.91), confirming the non-inferiority of aspirin for DVT prophylaxis (χ2 = 2.29, P = 0.01). The calculated TBL in the aspirin group (944.9 mL [658.5-1137.8 mL]) was similar to that in the rivaroxaban group (978.3 mL [747.4-1740.6mL]) (χ2 = 1.55, P = 0.12). However, there were no significant inter-group differences in HHS at post-operative day (POD) 30 (Aspirin: 81.0 [78.8-83.0], Rivaroxaban: 81.0 [79.3-83.0], χ2 = 0.43, P = 0.67) and POD 90 (Aspirin: 90.0 [89.0-92.0], Rivaroxaban: 91.5 [88.3-92.8], χ2 = 0.77, P = 0.44), the incidence of bleeding events (2.9% vs. 8.3%, χ2 = 0.96, P = 0.33), or gastrointestinal complications (2.9% vs. 5.6%, χ2 = 1.13, P = 0.29).Conclusion:In terms of safety and efficacy, the prophylactic use of 100 mg aspirin twice daily was not statistically different from that of rivaroxaban in preventing VTE and reducing the risk of blood loss following elective primary THA. This supports the use of aspirin chemoprophylaxis following THA as a less expensive and more widely available option for future THAs.Trial Registration:Chictr.org, ChiCTR18000202894; http://www.chictr.org.cn/showproj.aspx?proj=33284

  • 标签: Total hip arthroplasty Aspirin Rivaroxaban Venous thromboembolism Blood loss Complication
  • 简介:AbstractBackground:Diagnoses of Skin diseases are frequently delayed in China due to lack of dermatologists. A deep learning-based diagnosis supporting system can facilitate pre-screening patients to prioritize dermatologists’ efforts. We aimed to evaluate the classification sensitivity and specificity of deep learning models to classify skin tumors and psoriasis for Chinese population with a modest number of dermoscopic images.Methods:We developed a convolutional neural network (CNN) based on two datasets from a consecutive series of patients who underwent the dermoscopy in the clinic of the Department of Dermatology, Peking Union Medical College Hospital, between 2016 and 2018, prospectively. In order to evaluate the feasibility of the algorithm, we used two datasets. Dataset I consisted of 7192 dermoscopic images for a multi-class model to differentiate three most common skin tumors and other diseases. Dataset II consisted of 3115 dermoscopic images for a two-class model to classify psoriasis from other inflammatory diseases. We compared the performance of CNN with 164 dermatologists in a reader study with 130 dermoscopic images. The experts’ consensus was used as the reference standard except for the cases of basal cell carcinoma (BCC), which were all confirmed by histopathology.Results:The accuracies of multi-class and two-class models were 81.49% ± 0.88% and 77.02% ± 1.81%, respectively. In the reader study, for the multi-class tasks, the diagnosis sensitivity and specificity of 164 dermatologists were 0.770 and 0.962 for BCC, 0.807 and 0.897 for melanocytic nevus, 0.624 and 0.976 for seborrheic keratosis, 0.939 and 0.875 for the "others" group, respectively; the diagnosis sensitivity and specificity of multi-class CNN were 0.800 and 1.000 for BCC, 0.800 and 0.840 for melanocytic nevus, 0.850 and 0.940 for seborrheic keratosis, 0.750 and 0.940 for the "others" group, respectively. For the two-class tasks, the sensitivity and specificity of dermatologists and CNN for classifying psoriasis were 0.872 and 0.838, 1.000 and 0.605, respectively. Both the dermatologists and CNN achieved at least moderate consistency with the reference standard, and there was no significant difference in Kappa coefficients between them (P > 0.05).Conclusions:The performance of CNN developed with relatively modest number of dermoscopic images of skin tumors and psoriasis for Chinese population is comparable with 164 dermatologists. These two models could be used for screening in patients suspected with skin tumors and psoriasis respectively in primary care hospital.

  • 标签: Artificial intelligence Convolutional neural network Skin tumor Psoriasis Dermoscopy