Aiming at the problem that the positioning accuracy of WiFi indoor positioning technology based on location fingerprint has not reached the requirements of practical application, a WiFi indoor positioning and tracking...Aiming at the problem that the positioning accuracy of WiFi indoor positioning technology based on location fingerprint has not reached the requirements of practical application, a WiFi indoor positioning and tracking algorithm combining adaptive affine propagation (AAPC), compressed sensing (CS) and Kalman filter is proposed. In the off-line phase, AAPC algorithm is used to generate clustering fingerprints with optimal clustering effect performance;In the online phase, CS and nearest neighbor algorithm are used for position estimation;Finally, the Kalman filter and physical constraints are combined to perform positioning and tracking. By collecting a large number of real experimental data, it is proved that the developed algorithm has higher positioning accuracy and more accurate trajectory tracking effect.展开更多
Printed circuit boards(PCBs)provide stable connections between electronic components.However,defective printed circuit boards may cause the entire equipment system to malfunction,resulting in incalculable losses.There...Printed circuit boards(PCBs)provide stable connections between electronic components.However,defective printed circuit boards may cause the entire equipment system to malfunction,resulting in incalculable losses.Therefore,it is crucial to detect defective printed circuit boards during the generation process.Traditional detection methods have low accuracy in detecting subtle defects in complex background environments.In order to improve the detection accuracy of surface defects on industrial printed circuit boards,this paper proposes a residual large kernel network based on YOLOv5(You Only Look Once version 5)for PCBs surface defect detection,called YOLO-RLC(You Only Look Once-Residual Large Kernel).Build a deep large kernel backbone to expand the effective field of view,capture global informationmore efficiently,and use 1×1 convolutions to balance the depth of the model,improving feature extraction efficiency through reparameterization methods.The neck network introduces a bidirectional weighted feature fusion network,combined with a brand-new noise filter and feature enhancement extractor,to eliminate noise information generated by information fusion and recalibrate information from different channels to improve the quality of deep features.Simplify the aspect ratio of the bounding box to alleviate the issue of specificity values.After training and testing on the PCB defect dataset,our method achieved an average accuracy of 97.3%(mAP50)after multiple experiments,which is 4.1%higher than YOLOv5-S,with an average accuracy of 97.6%and an Frames Per Second of 76.7.The comparative analysis also proves the superior performance and feasibility of YOLO-RLC in PCB defect detection.展开更多
To modify the thermodynamics and kinetic performance of magnesium hydride(MgH_(2))for solid-state hydrogen storage,Ni_(3)V_(2)O_(8)-rGO(rGO represents reduced graphene oxide)and Ni_(3)V_(2)O_(8)nanocomposites were pre...To modify the thermodynamics and kinetic performance of magnesium hydride(MgH_(2))for solid-state hydrogen storage,Ni_(3)V_(2)O_(8)-rGO(rGO represents reduced graphene oxide)and Ni_(3)V_(2)O_(8)nanocomposites were prepared by hydrothermal and subsequent heat treatment.The beginning hydrogen desorption temperature of 7 wt.%Ni_(3)V_(2)O_(8)-rGO modified MgH_(2)was reduced to 208℃,while the additive-free MgH_(2)and 7 wt.%Ni_(3)V_(2)O_(8)doped MgH_(2)appeared to discharge hydrogen at 340 and 226℃,respectively.A charging capacity of about 4.7 wt.%H_(2)for MgH_(2)+7 wt.%Ni_(3)V_(2)O_(8)-rGO was achieved at 125℃ in 10 min,while the dehydrogenated MgH_(2)took 60 min to absorb only 4.6 wt.%H_(2)at 215℃.The microstructure analysis confirmed that the in-situ generated Mg_(2)Ni/Mg_(2)N_(i)H_(4) and metallic V contributed significantly to the enhanced performance of MgH_(2).In addition,the presence of rGO in the MgH_(2)+7 wt.%Ni_(3)V_(2)O_(8)-rGO composite reduced particle aggregation tendency of Mg/MgH_(2),leading to improving the cyclic stability of MgH_(2)during 20 cycles.展开更多
Human with bi-allelic WNT10A mutations and epithelial Wnt10a knockout mice present enlarged pulp chamber and apical displacement of the root furcation of multi-rooted teeth,known as taurodontism;thus,indicating the cr...Human with bi-allelic WNT10A mutations and epithelial Wnt10a knockout mice present enlarged pulp chamber and apical displacement of the root furcation of multi-rooted teeth,known as taurodontism;thus,indicating the critical role of Wnt10a in tooth root morphogenesis.However,the endogenous mechanism by which epithelial Wnt10a regulates Hertwig’s epithelial root sheath(HERS)cellular behaviors and contributes to root furcation patterning remains unclear.In this study,we found that HERS in the presumptive root furcating region failed to elongate at an appropriate horizontal level in K14-Cre;Wnt10a^(fl/fl)mice from post-natal day 0.5(PN0.5)to PN4.5.EdU assays and immunofluorescent staining of cyclin D1 revealed significantly decreased proliferation activity of inner enamel epithelial(IEE)cells of HERS in K14-Cre;Wnt10a^(fl/fl)mice at PN2.5 and PN3.5.Immunofluorescent staining of E-Cadherin and acetyl-α-Tubulin demonstrated that the IEE cells of HERS tended to divide perpendicularly to the horizontal plane,which impaired the horizontal extension of HERS in the presumptive root furcating region of K14-Cre;Wnt10a^(fl/fl)mice.RNA-seq and immunofluorescence showed that the expressions of Jag1 and Notch2 were downregulated in IEE cells of HERS in K14-Cre;Wnt10a^(fl/fl)mice.Furthermore,after activation of Notch signaling in K14-Cre;Wnt10a^(fl/fl)molars by Notch2 adenovirus and kidney capsule grafts,the root furcation defect was partially rescued.Taken together,our study demonstrates that an epithelial Wnt10a-Notch signaling axis is crucial for modulating HERS cell proper proliferation and horizontal-oriented division during tooth root furcation morphogenesis.展开更多
目的探讨动态增强磁共振成像(dynamic contrast-enhanced magnetic resonance imaging,DCE-MRI)技术在子宫颈癌临床分期中的应用价值。方法对2019年1月至2021年12月在郑州大学第二附属医院行手术治疗的186例子宫颈癌患者进行回顾性分析...目的探讨动态增强磁共振成像(dynamic contrast-enhanced magnetic resonance imaging,DCE-MRI)技术在子宫颈癌临床分期中的应用价值。方法对2019年1月至2021年12月在郑州大学第二附属医院行手术治疗的186例子宫颈癌患者进行回顾性分析。所有患者术前均行DCE-MRI技术以协助评估临床分期、宫颈肌层浸润、子宫体浸润、阴道累及、宫旁转移、淋巴结转移等相关参数,以术后病理为金标准进行验证,分析DCE-MRI技术术前评估子宫颈癌分期的准确度、灵敏度及特异度。结果186例子宫颈癌患者临床分期与手术病理分期一致性较好(Kappa=0.862,P<0.001),165例(88.71%)临床分期与手术病理分期一致。DCE-MRI诊断阴道累及的准确度为96.24%、灵敏度为86.96%、特异度为97.55%;诊断淋巴结转移的准确度为97.31%、灵敏度为82.35%、特异度为98.82%;诊断深肌层浸润的准确度为86.56%、灵敏度为90.79%、特异度为83.63%。结论DCE-MRI技术在诊断阴道累及、淋巴结转移、深肌层浸润等方面具有较高的灵敏度与特异度,可为子宫颈癌术前临床分期评估提供参考。展开更多
文摘Aiming at the problem that the positioning accuracy of WiFi indoor positioning technology based on location fingerprint has not reached the requirements of practical application, a WiFi indoor positioning and tracking algorithm combining adaptive affine propagation (AAPC), compressed sensing (CS) and Kalman filter is proposed. In the off-line phase, AAPC algorithm is used to generate clustering fingerprints with optimal clustering effect performance;In the online phase, CS and nearest neighbor algorithm are used for position estimation;Finally, the Kalman filter and physical constraints are combined to perform positioning and tracking. By collecting a large number of real experimental data, it is proved that the developed algorithm has higher positioning accuracy and more accurate trajectory tracking effect.
基金supported by the Ministry of Education Humanities and Social Science Research Project(No.23YJAZH034)The Postgraduate Research and Practice Innovation Program of Jiangsu Province(Nos.SJCX24_2147,SJCX24_2148)+1 种基金National Computer Basic Education Research Project in Higher Education Institutions(Nos.2024-AFCEC-056,2024-AFCEC-057)Enterprise Collaboration Project(Nos.Z421A22349,Z421A22304,Z421A210045).
文摘Printed circuit boards(PCBs)provide stable connections between electronic components.However,defective printed circuit boards may cause the entire equipment system to malfunction,resulting in incalculable losses.Therefore,it is crucial to detect defective printed circuit boards during the generation process.Traditional detection methods have low accuracy in detecting subtle defects in complex background environments.In order to improve the detection accuracy of surface defects on industrial printed circuit boards,this paper proposes a residual large kernel network based on YOLOv5(You Only Look Once version 5)for PCBs surface defect detection,called YOLO-RLC(You Only Look Once-Residual Large Kernel).Build a deep large kernel backbone to expand the effective field of view,capture global informationmore efficiently,and use 1×1 convolutions to balance the depth of the model,improving feature extraction efficiency through reparameterization methods.The neck network introduces a bidirectional weighted feature fusion network,combined with a brand-new noise filter and feature enhancement extractor,to eliminate noise information generated by information fusion and recalibrate information from different channels to improve the quality of deep features.Simplify the aspect ratio of the bounding box to alleviate the issue of specificity values.After training and testing on the PCB defect dataset,our method achieved an average accuracy of 97.3%(mAP50)after multiple experiments,which is 4.1%higher than YOLOv5-S,with an average accuracy of 97.6%and an Frames Per Second of 76.7.The comparative analysis also proves the superior performance and feasibility of YOLO-RLC in PCB defect detection.
基金the financial support from the National Natural Science Foundation of China(No.51801078).
文摘To modify the thermodynamics and kinetic performance of magnesium hydride(MgH_(2))for solid-state hydrogen storage,Ni_(3)V_(2)O_(8)-rGO(rGO represents reduced graphene oxide)and Ni_(3)V_(2)O_(8)nanocomposites were prepared by hydrothermal and subsequent heat treatment.The beginning hydrogen desorption temperature of 7 wt.%Ni_(3)V_(2)O_(8)-rGO modified MgH_(2)was reduced to 208℃,while the additive-free MgH_(2)and 7 wt.%Ni_(3)V_(2)O_(8)doped MgH_(2)appeared to discharge hydrogen at 340 and 226℃,respectively.A charging capacity of about 4.7 wt.%H_(2)for MgH_(2)+7 wt.%Ni_(3)V_(2)O_(8)-rGO was achieved at 125℃ in 10 min,while the dehydrogenated MgH_(2)took 60 min to absorb only 4.6 wt.%H_(2)at 215℃.The microstructure analysis confirmed that the in-situ generated Mg_(2)Ni/Mg_(2)N_(i)H_(4) and metallic V contributed significantly to the enhanced performance of MgH_(2).In addition,the presence of rGO in the MgH_(2)+7 wt.%Ni_(3)V_(2)O_(8)-rGO composite reduced particle aggregation tendency of Mg/MgH_(2),leading to improving the cyclic stability of MgH_(2)during 20 cycles.
基金supported by the National Natural Science Foundation of China(82270944,82100976,82071076 and 81600846).
文摘Human with bi-allelic WNT10A mutations and epithelial Wnt10a knockout mice present enlarged pulp chamber and apical displacement of the root furcation of multi-rooted teeth,known as taurodontism;thus,indicating the critical role of Wnt10a in tooth root morphogenesis.However,the endogenous mechanism by which epithelial Wnt10a regulates Hertwig’s epithelial root sheath(HERS)cellular behaviors and contributes to root furcation patterning remains unclear.In this study,we found that HERS in the presumptive root furcating region failed to elongate at an appropriate horizontal level in K14-Cre;Wnt10a^(fl/fl)mice from post-natal day 0.5(PN0.5)to PN4.5.EdU assays and immunofluorescent staining of cyclin D1 revealed significantly decreased proliferation activity of inner enamel epithelial(IEE)cells of HERS in K14-Cre;Wnt10a^(fl/fl)mice at PN2.5 and PN3.5.Immunofluorescent staining of E-Cadherin and acetyl-α-Tubulin demonstrated that the IEE cells of HERS tended to divide perpendicularly to the horizontal plane,which impaired the horizontal extension of HERS in the presumptive root furcating region of K14-Cre;Wnt10a^(fl/fl)mice.RNA-seq and immunofluorescence showed that the expressions of Jag1 and Notch2 were downregulated in IEE cells of HERS in K14-Cre;Wnt10a^(fl/fl)mice.Furthermore,after activation of Notch signaling in K14-Cre;Wnt10a^(fl/fl)molars by Notch2 adenovirus and kidney capsule grafts,the root furcation defect was partially rescued.Taken together,our study demonstrates that an epithelial Wnt10a-Notch signaling axis is crucial for modulating HERS cell proper proliferation and horizontal-oriented division during tooth root furcation morphogenesis.
文摘目的探讨动态增强磁共振成像(dynamic contrast-enhanced magnetic resonance imaging,DCE-MRI)技术在子宫颈癌临床分期中的应用价值。方法对2019年1月至2021年12月在郑州大学第二附属医院行手术治疗的186例子宫颈癌患者进行回顾性分析。所有患者术前均行DCE-MRI技术以协助评估临床分期、宫颈肌层浸润、子宫体浸润、阴道累及、宫旁转移、淋巴结转移等相关参数,以术后病理为金标准进行验证,分析DCE-MRI技术术前评估子宫颈癌分期的准确度、灵敏度及特异度。结果186例子宫颈癌患者临床分期与手术病理分期一致性较好(Kappa=0.862,P<0.001),165例(88.71%)临床分期与手术病理分期一致。DCE-MRI诊断阴道累及的准确度为96.24%、灵敏度为86.96%、特异度为97.55%;诊断淋巴结转移的准确度为97.31%、灵敏度为82.35%、特异度为98.82%;诊断深肌层浸润的准确度为86.56%、灵敏度为90.79%、特异度为83.63%。结论DCE-MRI技术在诊断阴道累及、淋巴结转移、深肌层浸润等方面具有较高的灵敏度与特异度,可为子宫颈癌术前临床分期评估提供参考。
