Semiconductors - The performance of InGaN/GaN multiple quantum well (MQW) solar cells with five different Si-doping concentrations, namely 0, 4 × 1017 cm–3, 1 × 1018 cm–3, 3... 相似文献
Breast cancer is one of the most common female malignancies, as well as the second leading cause of mortality for women. Early detection and treatment can dramatically decrease the mortality rate. Recently, automated breast volume scanner (ABVS) has become one of the most frequently used diagnose methods for breast tumor screening because of its operator-independent and reproducible advantages. However, it is a challenging job to obtain the tumors’ accurate locations and shapes by reviewing hundreds of ABVS slices. In this paper, a novel computer-aided detection (CADe) system is developed to reduce clinicians’ reading time and improve the efficiency. The CADe system mainly contains three parts: tumor candidate acquisition, false-positive reduction and tumor segmentation. Firstly, a local phase-based approach is built to obtain breast tumor candidates for further recognition. Subsequently, a convolutional neural network (CNN) is applied to reduce false positives (FPs). The introduction of CNN can help to avoid complicated feature extraction as well as elevate the accuracy and efficiency. Finally, superpixel-based segmentation is used to outline the breast tumor. Here, superpixel-based local binary pattern (SLBP) is proposed to assist the segmentation, which improves the performance. The methods were evaluated on a clinical ABVS dataset whose abnormal cases were manually labeled by an experienced radiologist. The experiment results were mainly composed of two parts. At the FP reduction stage, the proposed CNN achieved 100% and 78.12% sensitivity with FPs/case of 2.16 and 0. At the segmentation stage, our SLBP obtained 82.34% true positive, 15.79% false positive and 83.59% Dice similarity. In summary, the proposed CADe system demonstrated promising potential to detect and outline breast tumors in ABVS images.
Three-dimensional (3D) YBO3:Tb3+ flower-like and dense flower-like hierarchitecture constituted of nanoflakes are solvothermally synthesized in the presence of polyborate precursors in the mixture of ethanol and water. The growth process of the YBO3:Tb3+ flowers and dense flowers was explored based on the time-dependent experiment and the results showed that the growth mechanism follows an in situ growth rather than self-assembly process as reported previously. YBO3:Tb3+ morphologies composed of nanoflakes are achieved by controlling the concentration of ethanol and dependence of photoluminescence on morphology was studied. Remarkable photoluminescence enhancement was observed for YBO3:Tb3+ with flower-like morphology demonstrating the potential of the microstructure in future applications as a green phosphor. Such a synthetic method and growth mechanism may be applied to fabricate complex 3D architectures of other materials. 相似文献
目的: 探究二甲双胍联合糖皮质激素治疗伴糖耐量异常(IGT)的系统性红斑狼疮(SLE)患者的临床疗效及对胰岛功能、Th17/Treg细胞失衡的影响。方法: 本院84例伴IGT的SLE患者随机分为联用组和对照组各42例,均给予生活、饮食指导,对照组给予糖皮质激素治疗,联用组联合二甲双胍治疗,1个月后观察疗效,并评估胰岛功能和Th17/Treg细胞失衡情况。结果: 联用组总有效率明显高于对照组(90.48% vs. 71.43%,P<0.05),SLE活动指数评分为(2.6±0.3)分,红细胞沉降率(ESR)为(18±4)mm/h,显著低于对照组的(3.9±0.8)分、(23±4)mm/h(P<0.05)。治疗后联用组空腹血糖(FBG)、空腹胰岛素(Fins)、稳态模型-胰岛素抵抗指数(HOMA-IR)、胰岛β功能细胞指数(HOMA-β)显著改善(P<0.05),且与对照组相比差异有统计学意义(P<0.05);联用组正常糖耐量(NGT)占比明显高于对照组(73.81% vs. 30.95%,P<0.05)。治疗后联用组Th17、Treg细胞比例为(6.2±0.9)个/μL、(31±7)个/μL,Th17/Treg为(0.20±0.05),与对照组的(7.4±1.3)个/μL、(28±7)个/μL、(0.26±0.06)相比有统计学差异(P<0.05)。治疗后SLE活动指数评分与HOMA-IR、HOMA-β及Th17细胞、Treg细胞、Th17/Treg明显相关(P<0.05),且HOMA-IR、HOMA-β与Th17细胞、Treg细胞、Th17/Treg也明显相关(P<0.05)。2组不良反应均轻微,发生率无统计学差异(P>0.05)。结论: 二甲双胍联合糖皮质激素治疗伴IGT的SLE患者疗效显著,可控制疾病活动性,降低血糖水平、改善胰岛功能及纠正Th17/Treg细胞失衡,且安全性高。 相似文献
Developing antibiotics-independent antibacterial agents is of great importance since antibiotic therapy faces great challenges from drug resistance.Graphene oxide(GO)is a promising agent due to its natural antibacterial mechanisms,such as sharp edgemediated cutting effect.However,the antibacterial activity of GO is limited by its negative charge and low photothermal effect.Herein,the amino-functionalized GO nanosheets(AGO)with unique three-in-one properties were synthesized.Three essential properties(positive charge,strong photothermal effect,and natural cutting effect)were integrated into AGO.The positive charge(30 mV)rendered AGO a strong interaction force with model pathogen Streptococcus mutans(330 nN).The natural cutting effect of 100 ng·mL-1AGO caused 27%loss of bacterial viability after incubation for 30 min.Most importantly,upon the near-infrared irradiation for just 5 min,the three-in-one properties of AGO caused 98%viability loss.In conclusion,the short irradiation period and the tunable antibacterial activity confer the three-in-one AGO a great potential for clinical use. 相似文献