Bone age assessment(BAA)aims to determine whether a child’s growth and development are normal concerning their chronological age.To predict bone age more accurately based on radiographs,and for the left-hand X-ray im...Bone age assessment(BAA)aims to determine whether a child’s growth and development are normal concerning their chronological age.To predict bone age more accurately based on radiographs,and for the left-hand X-ray images of different races model can have better adaptability,we propose a neural network in parallel with the quantitative features from the left-hand bone measurements for BAA.In this study,a lightweight feature extractor(LFE)is designed to obtain the featuremaps fromradiographs,and amodule called attention erasermodule(AEM)is proposed to capture the fine-grained features.Meanwhile,the dimensional information of the metacarpal parts in the radiographs is measured to enhance the model’s generalization capability across images fromdifferent races.Ourmodel is trained and validated on the RSNA,RHPE,and digital hand atlas datasets,which include images from various racial groups.The model achieves a mean absolute error(MAE)of 4.42 months on the RSNA dataset and 15.98 months on the RHPE dataset.Compared to ResNet50,InceptionV3,and several state-of-the-art methods,our proposed method shows statistically significant improvements(p<0.05),with a reduction in MAE by 0.2±0.02 years across different racial datasets.Furthermore,t-tests on the features also confirm the statistical significance of our approach(p<0.05).展开更多
With the merits of a simple process and a short fabrication period, the capacitor structure provides a convenient way to evaluate memory characteristics of charge trap memory devices. However, the slow minority carrie...With the merits of a simple process and a short fabrication period, the capacitor structure provides a convenient way to evaluate memory characteristics of charge trap memory devices. However, the slow minority carrier generation in a capacitor often makes an underestimation of the program/erase speed. In this paper, illumination around a memory capacitor is proposed to enhance the generation of minority carriers so that an accurate measurement of the program/erase speed can be achieved. From the dependence of the inversion capacitance on frequency, a time constant is extracted to quantitatively characterize the formation of the inversion layer. Experimental results show that under a high enough illumination, this time constant is greatly reduced and the measured minority carrier-related program/erase speed is in agreement with the reported value in a transistor structure.展开更多
This paper discusses the well-known delayed choice Quantum Eraser experiment performed by Kim <em>et al.</em> in 2000 and analyzes it from a Classical Physics perspective. I have included a diagram of the ...This paper discusses the well-known delayed choice Quantum Eraser experiment performed by Kim <em>et al.</em> in 2000 and analyzes it from a Classical Physics perspective. I have included a diagram of the setup used in the experiment. I show that the result of the experiment can be explained by Classical Physics and does not require “Spooky action at a distance” due to entangled particles, as Einstein famously once put it, nor events modifying the past due to the delayed choice aspect of the experiment.展开更多
Lysine lipoylation plays vital roles in cell metabolism and redox processes.For example,removal of lipoylation will decrease pyruvate dehydrogenase activity and affect the citric acid cycle.Despite the important funct...Lysine lipoylation plays vital roles in cell metabolism and redox processes.For example,removal of lipoylation will decrease pyruvate dehydrogenase activity and affect the citric acid cycle.Despite the important functions of lysine lipoylation,the mechanisms for the addition and removal of this modification remain largely unexplored.Very few useful chemical tools are available to study the interactions of lysine lipoylation with its regulatory delipoylation proteins.For example,immunoaffinity purification-mass spectrometry is one of such tools,which highly relies on antibody efficiency and purification techniques.Single-step activity based fluorogenic probes developed by our groups and others is also an efficient method to study the deacylation activity.Affinitybased labeling probe using photo-cross-linker is a powerful platform to study the transient and dynamic interactions of peptide ligands with the interacting proteins.Herein,we have designed and synthesized a dual-function probe KTLlip for studying enzymatic delipoylation(eraser)activity and interaction of lysine lipoylation with the eraser at the same time.We show that KTLlip can be used as a useful tool to detect delipoylation as demonstrated by its ability to fluorescently label the eraser activity of recombinant Sirt2.We envision that the probe will help delineate the roles of delipoylation enzyme in biology.展开更多
The erase voltage impact on the 0.18μm triple self-aligned split-gate flash endurance is studied.An optimized erase voltage is necessary in order to achieve the best endurance.A lower erase voltage can cause more cel...The erase voltage impact on the 0.18μm triple self-aligned split-gate flash endurance is studied.An optimized erase voltage is necessary in order to achieve the best endurance.A lower erase voltage can cause more cell current degradation by increasing its sensitivity to the floating gate voltage drop,which is induced by tunnel oxide charge trapping during program/erase cycling.A higher erase voltage also aggravates the endurance degradation by introducing select gate oxide charge trapping.A progressive erase voltage method is proposed and demonstrated to better balance the two degradation mechanisms and thus further improve endurance performance.展开更多
Xinyang,a city in central China’s Henan Province,is well known for the green tea it produces called Xinyang maojian,a rare brew that is much in demand.Recently, however,the city made headlines for an en- tirely diffe...Xinyang,a city in central China’s Henan Province,is well known for the green tea it produces called Xinyang maojian,a rare brew that is much in demand.Recently, however,the city made headlines for an en- tirely different reason—a new set of policies to take care of its women.展开更多
地氟醚(desflurane)自1990年初应用于临床后,凭借其独特的药代动力学特性与临床应用优势,成为现代吸入麻醉的重要组成部分。经过10多年的临床应用与实践,人们对地氟醚理化特性的认识也越来越清晰[1-2]。特别是近年来,随着加速术后康复(e...地氟醚(desflurane)自1990年初应用于临床后,凭借其独特的药代动力学特性与临床应用优势,成为现代吸入麻醉的重要组成部分。经过10多年的临床应用与实践,人们对地氟醚理化特性的认识也越来越清晰[1-2]。特别是近年来,随着加速术后康复(enhanced recovery after surgery,ERAS)理念的普及和日间手术的发展,地氟醚的临床价值愈发凸显。展开更多
Target occlusion poses a significant challenge in computer vision,particularly in agricultural applications,where occlusion of crops can obscure key features and impair the model’s recognition performance.To address ...Target occlusion poses a significant challenge in computer vision,particularly in agricultural applications,where occlusion of crops can obscure key features and impair the model’s recognition performance.To address this challenge,a mushroom recognition method was proposed based on an erase module integrated into the EL-DenseNet model.EL-DenseNet,an extension of DenseNet,incorporated an erase attention module designed to enhance sensitivity to visible features.The erase module helped eliminate complex backgrounds and irrelevant information,allowing the mushroom body to be preserved and increasing recognition accuracy in cluttered environments.Considering the difficulty in distinguishing similar mushroom species,label smoothing regularization was employed to mitigate mislabeling errors that commonly arose from human observers.This strategy converted hard labels into soft labels during training,reducing the model’s overreliance on noisy labels and improving its generalization ability.Experimental results showed that the proposed EL-DenseNet,when combined with transfer learning,achieved a recognition accuracy of 96.7%for mushrooms in occluded and complex backgrounds.Compared with the original DenseNet and other classic models,this approach demonstrated superior accuracy and robustness,providing a promising solution for intelligent mushroom recognition.展开更多
基金supported by the grant from the National Natural Science Foundation of China(No.72071019)grant from the Natural Science Foundation of Chongqing(No.cstc2021jcyj-msxmX0185).
文摘Bone age assessment(BAA)aims to determine whether a child’s growth and development are normal concerning their chronological age.To predict bone age more accurately based on radiographs,and for the left-hand X-ray images of different races model can have better adaptability,we propose a neural network in parallel with the quantitative features from the left-hand bone measurements for BAA.In this study,a lightweight feature extractor(LFE)is designed to obtain the featuremaps fromradiographs,and amodule called attention erasermodule(AEM)is proposed to capture the fine-grained features.Meanwhile,the dimensional information of the metacarpal parts in the radiographs is measured to enhance the model’s generalization capability across images fromdifferent races.Ourmodel is trained and validated on the RSNA,RHPE,and digital hand atlas datasets,which include images from various racial groups.The model achieves a mean absolute error(MAE)of 4.42 months on the RSNA dataset and 15.98 months on the RHPE dataset.Compared to ResNet50,InceptionV3,and several state-of-the-art methods,our proposed method shows statistically significant improvements(p<0.05),with a reduction in MAE by 0.2±0.02 years across different racial datasets.Furthermore,t-tests on the features also confirm the statistical significance of our approach(p<0.05).
基金Project supported by the National Basic Research Program of China (Grant Nos. 2010CB934200 and 2011CBA00600)the National Natural Science Foundation of China (Grant Nos. 7360825403, 61176080, and 61176073)the National Science and Technology Major Project of China (Grant No. 2009ZX02023-005)
文摘With the merits of a simple process and a short fabrication period, the capacitor structure provides a convenient way to evaluate memory characteristics of charge trap memory devices. However, the slow minority carrier generation in a capacitor often makes an underestimation of the program/erase speed. In this paper, illumination around a memory capacitor is proposed to enhance the generation of minority carriers so that an accurate measurement of the program/erase speed can be achieved. From the dependence of the inversion capacitance on frequency, a time constant is extracted to quantitatively characterize the formation of the inversion layer. Experimental results show that under a high enough illumination, this time constant is greatly reduced and the measured minority carrier-related program/erase speed is in agreement with the reported value in a transistor structure.
文摘This paper discusses the well-known delayed choice Quantum Eraser experiment performed by Kim <em>et al.</em> in 2000 and analyzes it from a Classical Physics perspective. I have included a diagram of the setup used in the experiment. I show that the result of the experiment can be explained by Classical Physics and does not require “Spooky action at a distance” due to entangled particles, as Einstein famously once put it, nor events modifying the past due to the delayed choice aspect of the experiment.
基金supported by the Science Technology and Innovation Committee of Shenzhen Municipality(Grant Nos.JCYJ20180507181654823 and JCYJ20170413141047772)the National Natural Science Foundation of China(Grant No.21778044).
文摘Lysine lipoylation plays vital roles in cell metabolism and redox processes.For example,removal of lipoylation will decrease pyruvate dehydrogenase activity and affect the citric acid cycle.Despite the important functions of lysine lipoylation,the mechanisms for the addition and removal of this modification remain largely unexplored.Very few useful chemical tools are available to study the interactions of lysine lipoylation with its regulatory delipoylation proteins.For example,immunoaffinity purification-mass spectrometry is one of such tools,which highly relies on antibody efficiency and purification techniques.Single-step activity based fluorogenic probes developed by our groups and others is also an efficient method to study the deacylation activity.Affinitybased labeling probe using photo-cross-linker is a powerful platform to study the transient and dynamic interactions of peptide ligands with the interacting proteins.Herein,we have designed and synthesized a dual-function probe KTLlip for studying enzymatic delipoylation(eraser)activity and interaction of lysine lipoylation with the eraser at the same time.We show that KTLlip can be used as a useful tool to detect delipoylation as demonstrated by its ability to fluorescently label the eraser activity of recombinant Sirt2.We envision that the probe will help delineate the roles of delipoylation enzyme in biology.
文摘The erase voltage impact on the 0.18μm triple self-aligned split-gate flash endurance is studied.An optimized erase voltage is necessary in order to achieve the best endurance.A lower erase voltage can cause more cell current degradation by increasing its sensitivity to the floating gate voltage drop,which is induced by tunnel oxide charge trapping during program/erase cycling.A higher erase voltage also aggravates the endurance degradation by introducing select gate oxide charge trapping.A progressive erase voltage method is proposed and demonstrated to better balance the two degradation mechanisms and thus further improve endurance performance.
文摘Xinyang,a city in central China’s Henan Province,is well known for the green tea it produces called Xinyang maojian,a rare brew that is much in demand.Recently, however,the city made headlines for an en- tirely different reason—a new set of policies to take care of its women.
文摘地氟醚(desflurane)自1990年初应用于临床后,凭借其独特的药代动力学特性与临床应用优势,成为现代吸入麻醉的重要组成部分。经过10多年的临床应用与实践,人们对地氟醚理化特性的认识也越来越清晰[1-2]。特别是近年来,随着加速术后康复(enhanced recovery after surgery,ERAS)理念的普及和日间手术的发展,地氟醚的临床价值愈发凸显。
文摘Target occlusion poses a significant challenge in computer vision,particularly in agricultural applications,where occlusion of crops can obscure key features and impair the model’s recognition performance.To address this challenge,a mushroom recognition method was proposed based on an erase module integrated into the EL-DenseNet model.EL-DenseNet,an extension of DenseNet,incorporated an erase attention module designed to enhance sensitivity to visible features.The erase module helped eliminate complex backgrounds and irrelevant information,allowing the mushroom body to be preserved and increasing recognition accuracy in cluttered environments.Considering the difficulty in distinguishing similar mushroom species,label smoothing regularization was employed to mitigate mislabeling errors that commonly arose from human observers.This strategy converted hard labels into soft labels during training,reducing the model’s overreliance on noisy labels and improving its generalization ability.Experimental results showed that the proposed EL-DenseNet,when combined with transfer learning,achieved a recognition accuracy of 96.7%for mushrooms in occluded and complex backgrounds.Compared with the original DenseNet and other classic models,this approach demonstrated superior accuracy and robustness,providing a promising solution for intelligent mushroom recognition.
