A novel reconstructive prosthesis was designed with topological optimization(TO)and a lattice structure to enhance biomechanical and biological properties in the proximal tibia.The biomechanical performance was valida...A novel reconstructive prosthesis was designed with topological optimization(TO)and a lattice structure to enhance biomechanical and biological properties in the proximal tibia.The biomechanical performance was validated through finite element analysis(FEA)and biomechanical tests.The tibia with inhomogeneous material properties was reconstructed according to computed tomography images,and different components were designed to simulate the operation.Minimum compliance TO subject to a volume fraction constraint combined with a graded lattice structure was utilized to redesign the prosthesis.FEA was performed to evaluate the mechanical performances of the tibia and implants after optimization,including stress,micromotion,and strain energy.The results were analyzed by paired-samples t tests,and p<0.05 was considered significant.Biomechanical testing was used to verify the tibial stresses.Compared to the original group(OG),the TO group(TOG)exhibited lower stress on the stem,and the maximum von Mises stresses were 87.2 and 53.1 MPa,respectively,a 39.1%reduction(p<0.05).Conversely,the stress and strain energy on the tibia increased in the TOG.The maximum von Mises stress values were 16.4 MPa in the OG and 22.9 MPa in the TOG with a 39.6%increase(p<0.05),and the maximum SED value was 0.026 MPa in the OG and 0.042 MPa in the TOG,corresponding to an increase of 61.5%(p<0.05).The maximum micromotions in the distal end of the stem were 135μm in the OG and 68μm in the TOG,almost a 50%reduction.The stress curves of the biomechanical test coincided well with the FEA results.The TO approach can effectively reduce the whole weight of the prosthesis and improve the biomechanical environment of the tibia.It could also pave the way for next-generation applications in orthopedics surgery.展开更多
针对软件缺陷报告严重性预测中现有模型分类精度较低、深层次的语义特征不够丰富等问题,本文提出了一种基于BERT句子级别与词级别特征融合的SWF-BERT(Sentence-level and Word-level features Fusion-BERT)软件缺陷报告严重性预测模型....针对软件缺陷报告严重性预测中现有模型分类精度较低、深层次的语义特征不够丰富等问题,本文提出了一种基于BERT句子级别与词级别特征融合的SWF-BERT(Sentence-level and Word-level features Fusion-BERT)软件缺陷报告严重性预测模型.首先,对缺陷报告中的文本进行了数据预处理.其次,为了加强嵌入层中融合后的特征语义信息,提取词频最高的前100个单词,筛选出与缺陷严重性相关的特征词对其进行关键词嵌入操作,并融合嵌入层中的其他向量进行词嵌入.最后,将BERT模型输出层得到的特征(除[CLS]token外)送入多尺度卷积神经网络结合长短期记忆网络(MC-LSTM)模型中,加强了不同特征间远距离的时序信息.采用BERT模型输出得到的[CLS]句向量经过线性变换的结果与MC-LSTM模型输出经过线性变换得到的结果做可学习的自适应加权融合,实现了对软件缺陷报告严重性的有效预测.实验结果表明,使用SWF-BERT模型的平均准确率、召回率和F1值在Mozilla数据集中分别达到了68.41%、64.60%和64.86%,在Eclipse数据集中分别达到了61.32%、62.62%和59.31%,与其他分类算法相比,该方法在性能上得到了较大的提升.展开更多
With the population aging and an increasing desire for a high quality of life,millions of patients who suffered knee arthropathy have undergone total knee arthroplasty （TKA）.Although the success rate for primary TKA...With the population aging and an increasing desire for a high quality of life,millions of patients who suffered knee arthropathy have undergone total knee arthroplasty （TKA）.Although the success rate for primary TKA has been quite high,the number of revision surgeries can not be ignored.Bone loss is one of the challenges confronting surgeons who perform revision TKAs as it can impair alignment accuracy and the long-term stability of the implant.Although several options are available for bone loss after TKA--cement,bone grafting,standard augments,and hinged implants--there is no single ideal option available for all patients with a severe bone defect because of the variety and severity of the defects.1 The burgeoning rapid prototyping （RP） technique,which has been used to fabricate components with complex and unique structures,may offer a novel option in these cases.Keywords：rapid prototyping; severe bone defects; knee展开更多
目的探究[牙合]垫式可摘局部义齿(RPD)修复治疗牙齿重度磨耗(SOA)伴牙列缺损(DD)患者的效果。方法回顾性收集我院60例牙齿SOA伴DD患者(2019年12月至2022年12月),按治疗方案不同分成A组(30例)、B组(30例)。B组接受传统RPD修复,A组接受垫...目的探究[牙合]垫式可摘局部义齿(RPD)修复治疗牙齿重度磨耗(SOA)伴牙列缺损(DD)患者的效果。方法回顾性收集我院60例牙齿SOA伴DD患者(2019年12月至2022年12月),按治疗方案不同分成A组(30例)、B组(30例)。B组接受传统RPD修复,A组接受垫式RPD修复。对比2组咀嚼功能[咬合力(BF)与咀嚼效率(ME)]、咀嚼肌功能肌电图[双侧颞肌前束(TA)、咬肌(MM)均值及牙尖交错位(ICP)最大紧咬平均峰值电位]、临床症状发生率、炎性因子指标[白细胞介素-6(IL-6)、IL-10、肿瘤坏死因子-α(TNF-α)]、并发症发生率。结果修复3个月A组ME、BF较B组高(P<0.05);修复3个月A组ICP最大紧咬平均峰值电位TA、MM值较B组高,息止位肌电图TA、MM值较B组低(P<0.05);修复3个月A组食物嵌塞、颞下颌关节疼痛发生率较B组低(P<0.05);修复3 d A组龈沟液TNF-α、IL-6含量较B组低,IL-10含量较B组高(P<0.05);2组并发症发生率相比差异无统计学意义(P>0.05)。结论与传统RPD修复治疗牙齿SOA伴DD患者相比,应用[牙合]垫式RPD修复治疗于改善临床症状、提高咀嚼肌功能及咬合功能方面更具优势,且对机体炎性应激反应影响更小。展开更多
针对不同转速下,不同损伤程度的滚动轴承内、外圈故障,提出一种基于局域均值分解(Local Mean De-composition,LMD)和Lempel-Ziv指标的滚动轴承损伤程度识别方法。LMD方法是一种新的自适应时频分析方法,将轴承振动信号分解为若干个瞬时...针对不同转速下,不同损伤程度的滚动轴承内、外圈故障,提出一种基于局域均值分解(Local Mean De-composition,LMD)和Lempel-Ziv指标的滚动轴承损伤程度识别方法。LMD方法是一种新的自适应时频分析方法,将轴承振动信号分解为若干个瞬时频率有物理意义的乘积函数(Production Function,PF),再结合峭度条件找出蕴含故障信息的最优PF分量,计算其PF函数和包络的Lempel-Ziv的归一化值,再加权求和得到最终的Lempel-Ziv综合指标,表征了不同故障的损伤程度。同时还研究了在不同转速下的内、外圈故障轴承的Lempel-Ziv指标的分布规律,使结论更具有普遍性。经实验结果验证,此方法能有效地应用于滚动轴承的故障程度的诊断。展开更多
基金National Natural Science Foundation of China[Grant Numbers 81802174,81900726&82072456]Department of Science and Technology of Jilin Province,P.R.C[Grant Numbers 20200404202YY,20200403086SF&20200201453JC]+8 种基金Jilin Province Development and Reform Commission,P.R.C[Grant Number 2018C010]Education Department of Jilin Province,P.R.C[GrantNumber JJKH20180106KJ]Administration of Traditional Chinese Medicine of Jilin Province P.R.C[Grant Number 2018115]10th Youth Project of the First Hospital of Jilin University[Grant Number JDYY102019025]Department of Finance in Jilin Province[Grant Number 2019SCZT046]Undergraduate Teaching Reform Research Project of Jilin University[Grant Number 4Z2000610852]Key training plan for outstanding young teachers of Jilin University[Grant Number 419080520253]Bethune plan of Jilin University[Grant Number 470110000692]The major participant is Qing Han.
文摘A novel reconstructive prosthesis was designed with topological optimization(TO)and a lattice structure to enhance biomechanical and biological properties in the proximal tibia.The biomechanical performance was validated through finite element analysis(FEA)and biomechanical tests.The tibia with inhomogeneous material properties was reconstructed according to computed tomography images,and different components were designed to simulate the operation.Minimum compliance TO subject to a volume fraction constraint combined with a graded lattice structure was utilized to redesign the prosthesis.FEA was performed to evaluate the mechanical performances of the tibia and implants after optimization,including stress,micromotion,and strain energy.The results were analyzed by paired-samples t tests,and p<0.05 was considered significant.Biomechanical testing was used to verify the tibial stresses.Compared to the original group(OG),the TO group(TOG)exhibited lower stress on the stem,and the maximum von Mises stresses were 87.2 and 53.1 MPa,respectively,a 39.1%reduction(p<0.05).Conversely,the stress and strain energy on the tibia increased in the TOG.The maximum von Mises stress values were 16.4 MPa in the OG and 22.9 MPa in the TOG with a 39.6%increase(p<0.05),and the maximum SED value was 0.026 MPa in the OG and 0.042 MPa in the TOG,corresponding to an increase of 61.5%(p<0.05).The maximum micromotions in the distal end of the stem were 135μm in the OG and 68μm in the TOG,almost a 50%reduction.The stress curves of the biomechanical test coincided well with the FEA results.The TO approach can effectively reduce the whole weight of the prosthesis and improve the biomechanical environment of the tibia.It could also pave the way for next-generation applications in orthopedics surgery.
文摘针对软件缺陷报告严重性预测中现有模型分类精度较低、深层次的语义特征不够丰富等问题,本文提出了一种基于BERT句子级别与词级别特征融合的SWF-BERT(Sentence-level and Word-level features Fusion-BERT)软件缺陷报告严重性预测模型.首先,对缺陷报告中的文本进行了数据预处理.其次,为了加强嵌入层中融合后的特征语义信息,提取词频最高的前100个单词,筛选出与缺陷严重性相关的特征词对其进行关键词嵌入操作,并融合嵌入层中的其他向量进行词嵌入.最后,将BERT模型输出层得到的特征(除[CLS]token外)送入多尺度卷积神经网络结合长短期记忆网络(MC-LSTM)模型中,加强了不同特征间远距离的时序信息.采用BERT模型输出得到的[CLS]句向量经过线性变换的结果与MC-LSTM模型输出经过线性变换得到的结果做可学习的自适应加权融合,实现了对软件缺陷报告严重性的有效预测.实验结果表明,使用SWF-BERT模型的平均准确率、召回率和F1值在Mozilla数据集中分别达到了68.41%、64.60%和64.86%,在Eclipse数据集中分别达到了61.32%、62.62%和59.31%,与其他分类算法相比,该方法在性能上得到了较大的提升.
文摘With the population aging and an increasing desire for a high quality of life,millions of patients who suffered knee arthropathy have undergone total knee arthroplasty （TKA）.Although the success rate for primary TKA has been quite high,the number of revision surgeries can not be ignored.Bone loss is one of the challenges confronting surgeons who perform revision TKAs as it can impair alignment accuracy and the long-term stability of the implant.Although several options are available for bone loss after TKA--cement,bone grafting,standard augments,and hinged implants--there is no single ideal option available for all patients with a severe bone defect because of the variety and severity of the defects.1 The burgeoning rapid prototyping （RP） technique,which has been used to fabricate components with complex and unique structures,may offer a novel option in these cases.Keywords：rapid prototyping; severe bone defects; knee
文摘目的探究[牙合]垫式可摘局部义齿(RPD)修复治疗牙齿重度磨耗(SOA)伴牙列缺损(DD)患者的效果。方法回顾性收集我院60例牙齿SOA伴DD患者(2019年12月至2022年12月),按治疗方案不同分成A组(30例)、B组(30例)。B组接受传统RPD修复,A组接受垫式RPD修复。对比2组咀嚼功能[咬合力(BF)与咀嚼效率(ME)]、咀嚼肌功能肌电图[双侧颞肌前束(TA)、咬肌(MM)均值及牙尖交错位(ICP)最大紧咬平均峰值电位]、临床症状发生率、炎性因子指标[白细胞介素-6(IL-6)、IL-10、肿瘤坏死因子-α(TNF-α)]、并发症发生率。结果修复3个月A组ME、BF较B组高(P<0.05);修复3个月A组ICP最大紧咬平均峰值电位TA、MM值较B组高,息止位肌电图TA、MM值较B组低(P<0.05);修复3个月A组食物嵌塞、颞下颌关节疼痛发生率较B组低(P<0.05);修复3 d A组龈沟液TNF-α、IL-6含量较B组低,IL-10含量较B组高(P<0.05);2组并发症发生率相比差异无统计学意义(P>0.05)。结论与传统RPD修复治疗牙齿SOA伴DD患者相比,应用[牙合]垫式RPD修复治疗于改善临床症状、提高咀嚼肌功能及咬合功能方面更具优势,且对机体炎性应激反应影响更小。
文摘针对不同转速下,不同损伤程度的滚动轴承内、外圈故障,提出一种基于局域均值分解(Local Mean De-composition,LMD)和Lempel-Ziv指标的滚动轴承损伤程度识别方法。LMD方法是一种新的自适应时频分析方法,将轴承振动信号分解为若干个瞬时频率有物理意义的乘积函数(Production Function,PF),再结合峭度条件找出蕴含故障信息的最优PF分量,计算其PF函数和包络的Lempel-Ziv的归一化值,再加权求和得到最终的Lempel-Ziv综合指标,表征了不同故障的损伤程度。同时还研究了在不同转速下的内、外圈故障轴承的Lempel-Ziv指标的分布规律,使结论更具有普遍性。经实验结果验证,此方法能有效地应用于滚动轴承的故障程度的诊断。
