目的:分析和总结自体股骨头结构植骨重建髋臼辅助全髋关节置换术(total hip arthroplasty,THA)治疗改良Crowe TypeⅣB型成人髋关节发育不良性脱位(developmental dysplasia of the hip,DDH)患者的临床疗效。方法:按照改良Crowe分型,选...目的:分析和总结自体股骨头结构植骨重建髋臼辅助全髋关节置换术(total hip arthroplasty,THA)治疗改良Crowe TypeⅣB型成人髋关节发育不良性脱位(developmental dysplasia of the hip,DDH)患者的临床疗效。方法:按照改良Crowe分型,选取山东大学齐鲁医院德州医院关节外科2015年8月至2023年3月收治的TypeⅣB型DDH患者26例,其中男25例,女1例,采用自体股骨头结构植骨重建髋臼辅助THA,记录患者手术时间、术中失血量、术中术后输血量、术后血红蛋白、手术相关并发症和骨愈合时间等,并行骨盆正位X线片了解假体位置、假体骨长入、假体松动以及骨愈合情况等,采用视觉模拟评分表(visual analogue scale,VAS)评价髋关节的疼痛不适,采用髋关节Harris评分和Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)来评价髋关节功能及临床疗效。结果:所有患者的平均随访时间(9.73±8.35)个月,术中出血平均为(715.38±143.37) mL,术中平均输血(415.38±282.41) mL,手术时间平均为(118.62±18.27) min,术后平均输血为(192.31±236.51) mL。所有患者转子下骨端、自体股骨头和假臼之间均骨愈合良好。髋关节VAS评分从术前6.73±0.45,至术后末次随访时VAS评分1.73±0.53,差异有统计学意义(P=0.000),髋关节活动度均较术前明显改善,髋关节Harris评分从术前24.27±1.66,至术后末次随访时Harris评分74.77±2.89,差异有统计学意义(P=0.000),WOMAC术前术后评分分别为130.08±5.72和67.85±3.23,差异均有统计学意义(P=0.000)。结论:自体股骨头结构植骨重建髋臼辅助THA治疗改良Crowe TypeⅣB型DDH,具有操作相对简单、固定牢固、手术相对安全和疗效确切的优点。展开更多
目的:探讨全髋关节置换术的CroweⅢ-Ⅳ型发育性髋关节发育不良(developmental dysplasia of the hip,DDH)患者的满意度及造成不满意的相关因素。方法:回顾性分析2013年3月至2018年3月行全髋关节置换术的169例CroweⅢ-Ⅳ型DDH患者,通过...目的:探讨全髋关节置换术的CroweⅢ-Ⅳ型发育性髋关节发育不良(developmental dysplasia of the hip,DDH)患者的满意度及造成不满意的相关因素。方法:回顾性分析2013年3月至2018年3月行全髋关节置换术的169例CroweⅢ-Ⅳ型DDH患者,通过微信进行调查问卷,调查患者对手术总体满意度、10项日常功能满意度和患者认为对自己日常生活影响比较大的前5个问题。手术前后采用髋关节Harris评分进行功能评价。结果:收到完整调查问卷145份,所有患者获随访,时间1~5(3.23±1.22)年。145例患者分成两组,其中对手术疗效满意的118例,不满意的27例,手术总体满意率81.38%(118/145)。患者认为对生活影响比较大的前5个问题分别是术后髋部疼痛,肢体明显不等长、行走、上下楼梯、蹲起。两组术前Harris评分比较,差异无统计学意义(P>0.05),不满意组术后Harris评分较低。术后髋关节疼痛、肢体不等长是影响手术不满意的直接因素。结论:采用全髋关节置换术治疗CroweⅢ-Ⅳ型DDH患者手术难度大;术后髋关节疼痛(轻度以上),肢体不等长(>2 cm)是术后不满意的独立危险因素。展开更多
目的:应用有限元分析研究CroweⅢ型发育性髋关节发育不良(developmental dysplasia of the hip,DDH)全髋关节置换(total hip arthroplasty,THA)髋臼解剖重建与非解剖重建髋关节的生物力学为临床THA髋臼解剖重建提供理论基础和实验依据...目的:应用有限元分析研究CroweⅢ型发育性髋关节发育不良(developmental dysplasia of the hip,DDH)全髋关节置换(total hip arthroplasty,THA)髋臼解剖重建与非解剖重建髋关节的生物力学为临床THA髋臼解剖重建提供理论基础和实验依据。方法:选取1例因左侧CroweⅢ型DDH伴终末期髋骨关节炎于2020年4月就诊并行左侧全髋关节置换的患者,女,57岁。术前、术后分别行骨盆CT平扫三维重建。在Mimics和3-Matic软件里建立14组髋臼杯不同前倾角、外展角、旋转中心高度模型并进行材料赋值,在Abaqus软件里设置边界和负载条件,计算并观察髋关节应力峰值和分布。结果:对于CroweⅢ型DDH全髋关节置换术,当旋转中心解剖重建,髋臼杯外展角设置为40°时,髋臼杯前倾角5°~25°变化时,髋臼杯、聚乙烯内衬最低Von Mises值出现在前倾角20°;当旋转中心解剖重建,髋臼杯前倾角设置为15°时,髋臼杯外展角30°~55°变化时,髋臼杯、聚乙烯内衬最低Von Mises值出现在外展角35°;当髋臼杯前倾角设置为15°、外展角设置为40°时,旋转中心上移0~20 mm变化时,髋臼杯、聚乙烯内衬最低Von Mises值出现在旋转中心上移10 mm。在所有14组髋臼杯参数模型中,旋转中心解剖重建,髋臼杯前倾角15°、外展角35°时,髋臼、髋臼杯、聚乙烯内衬Von Mises值最低。结论:在CroweⅢ型DDH全髋关节置换术中,建议解剖重建旋转中心,髋臼杯前倾角15°、外展角35°,同时进行髋臼外上方植骨并增加螺钉以进一步减少髋关节应力峰值。展开更多
The gut microbiota significantly influences host physiology and provides essential ecosystem services.While diet can affect the composition of the gut microbiota,the gut microbiota can also help the host adapt to spec...The gut microbiota significantly influences host physiology and provides essential ecosystem services.While diet can affect the composition of the gut microbiota,the gut microbiota can also help the host adapt to specific dietary habits.The carrion crow(Corvus corone),an urban facultative scavenger bird,hosts an abundance of pathogens due to its scavenging behavior.Despite this,carrion crows infrequently exhibit illness,a phenomenon related to their unique physiological adaptability.At present,however,the role of the gut microbiota remains incompletely understood.In this study,we performed a comparative analysis using 16S rRNA amplicon sequencing technology to assess colonic content in carrion crows and 16 other bird species with different diets in Beijing,China.Our findings revealed that the dominant gut microbiota in carrion crows was primarily composed of Proteobacteria(75.51%)and Firmicutes(22.37%).Significant differences were observed in the relative abundance of Enterococcus faecalis among groups,highlighting its potential as a biomarker of facultative scavenging behavior in carrion crows.Subsequently,E.faecalis isolated from carrion crows was transplanted into model mice to explore the protective effects of this bacterial community against Salmonella enterica infection.Results showed that E.faecalis down-regulated the expression of pro-inflammatory cytokines tumor necrosis factor alpha(TNF-α),interferon gamma(IFN-γ),and interleukin 6(IL-6),prevented S.enterica colonization,and regulated the composition of gut microbiota in mice,thereby modulating the host’s immune regulatory capacity.Therefore,E.faecalis exerts immunoregulatory and anti-pathogenic functions in carrion crows engaged in scavenging behavior,offering a representative case of how the gut microbiota contributes to the protection of hosts with specialized diets.展开更多
Mammography is considered a significant image for accurate breast cancer detection.Content-based image retrieval(CBIR)contributes to classifying the query mammography image and retrieves similar mammographic images fr...Mammography is considered a significant image for accurate breast cancer detection.Content-based image retrieval(CBIR)contributes to classifying the query mammography image and retrieves similar mammographic images from the database.This CBIR system helps a physician to give better treatment.Local features must be described with the input images to retrieve similar images.Exist-ing methods are inefficient and inaccurate by failing in local features analysis.Hence,efficient digital mammography image retrieval needs to be implemented.This paper proposed reliable recovery of the mammographic image from the data-base,which requires the removal of noise using Kalman filter and scale-invariant feature transform(SIFT)for feature extraction with Crow Search Optimization-based the deep belief network(CSO-DBN).This proposed technique decreases the complexity,cost,energy,and time consumption.Training the proposed model using a deep belief network and validation is performed.Finally,the testing pro-cess gives better performance compared to existing techniques.The accuracy rate of the proposed work CSO-DBN is 0.9344,whereas the support vector machine(SVM)(0.5434),naïve Bayes(NB)(0.7014),Butterfly Optimization Algorithm(BOA)(0.8156),and Cat Swarm Optimization(CSO)(0.8852).展开更多
Mammography is considered a significant image for accurate breast cancer detection.Content-based image retrieval(CBIR)contributes to classifying the query mammography image and retrieves similar mammographic images fro...Mammography is considered a significant image for accurate breast cancer detection.Content-based image retrieval(CBIR)contributes to classifying the query mammography image and retrieves similar mammographic images from the database.This CBIR system helps a physician to give better treatment.Local features must be described with the input images to retrieve similar images.Exist-ing methods are inefficient and inaccurate by failing in local features analysis.Hence,efficient digital mammography image retrieval needs to be implemented.This paper proposed reliable recovery of the mammographic image from the data-base,which requires the removal of noise using Kalmanfilter and scale-invariant feature transform(SIFT)for feature extraction with Crow Search Optimization-based the deep belief network(CSO-DBN).This proposed technique decreases the complexity,cost,energy,and time consumption.Training the proposed model using a deep belief network and validation is performed.Finally,the testing pro-cess gives better performance compared to existing techniques.The accuracy rate of the proposed work CSO-DBN is 0.9344,whereas the support vector machine(SVM)(0.5434),naïve Bayes(NB)(0.7014),Butterfly Optimization Algorithm(BOA)(0.8156),and Cat Swarm Optimization(CSO)(0.8852).展开更多
Chi Zijian’s novel White Snow Crow is about the pestis in Northeast China from the autumn and winter of 1910 to the spring of 1911,focusing on the living conditions of people in Fujiadian,Harbin,under the shadow of t...Chi Zijian’s novel White Snow Crow is about the pestis in Northeast China from the autumn and winter of 1910 to the spring of 1911,focusing on the living conditions of people in Fujiadian,Harbin,under the shadow of the pestis,and thus connects the vicissitudes of Harbin in the development of modern Chinese history.Re-reading this novel in the context of the post-epidemic era not only allows us to immerse ourselves in the specific temporal and spatial fields described in the text with an immersive reading mindset,feel the heavy impact that the disaster has brought to the people of Northeast China,but also provide us with a different perspective to observe the current social reality.In particular,the social problems shown by the novel through the pestis and the description of ordinary people’s life experience under the plague still deserve further discussion.展开更多
文摘目的:探讨全髋关节置换术的CroweⅢ-Ⅳ型发育性髋关节发育不良(developmental dysplasia of the hip,DDH)患者的满意度及造成不满意的相关因素。方法:回顾性分析2013年3月至2018年3月行全髋关节置换术的169例CroweⅢ-Ⅳ型DDH患者,通过微信进行调查问卷,调查患者对手术总体满意度、10项日常功能满意度和患者认为对自己日常生活影响比较大的前5个问题。手术前后采用髋关节Harris评分进行功能评价。结果:收到完整调查问卷145份,所有患者获随访,时间1~5(3.23±1.22)年。145例患者分成两组,其中对手术疗效满意的118例,不满意的27例,手术总体满意率81.38%(118/145)。患者认为对生活影响比较大的前5个问题分别是术后髋部疼痛,肢体明显不等长、行走、上下楼梯、蹲起。两组术前Harris评分比较,差异无统计学意义(P>0.05),不满意组术后Harris评分较低。术后髋关节疼痛、肢体不等长是影响手术不满意的直接因素。结论:采用全髋关节置换术治疗CroweⅢ-Ⅳ型DDH患者手术难度大;术后髋关节疼痛(轻度以上),肢体不等长(>2 cm)是术后不满意的独立危险因素。
文摘目的:应用有限元分析研究CroweⅢ型发育性髋关节发育不良(developmental dysplasia of the hip,DDH)全髋关节置换(total hip arthroplasty,THA)髋臼解剖重建与非解剖重建髋关节的生物力学为临床THA髋臼解剖重建提供理论基础和实验依据。方法:选取1例因左侧CroweⅢ型DDH伴终末期髋骨关节炎于2020年4月就诊并行左侧全髋关节置换的患者,女,57岁。术前、术后分别行骨盆CT平扫三维重建。在Mimics和3-Matic软件里建立14组髋臼杯不同前倾角、外展角、旋转中心高度模型并进行材料赋值,在Abaqus软件里设置边界和负载条件,计算并观察髋关节应力峰值和分布。结果:对于CroweⅢ型DDH全髋关节置换术,当旋转中心解剖重建,髋臼杯外展角设置为40°时,髋臼杯前倾角5°~25°变化时,髋臼杯、聚乙烯内衬最低Von Mises值出现在前倾角20°;当旋转中心解剖重建,髋臼杯前倾角设置为15°时,髋臼杯外展角30°~55°变化时,髋臼杯、聚乙烯内衬最低Von Mises值出现在外展角35°;当髋臼杯前倾角设置为15°、外展角设置为40°时,旋转中心上移0~20 mm变化时,髋臼杯、聚乙烯内衬最低Von Mises值出现在旋转中心上移10 mm。在所有14组髋臼杯参数模型中,旋转中心解剖重建,髋臼杯前倾角15°、外展角35°时,髋臼、髋臼杯、聚乙烯内衬Von Mises值最低。结论:在CroweⅢ型DDH全髋关节置换术中,建议解剖重建旋转中心,髋臼杯前倾角15°、外展角35°,同时进行髋臼外上方植骨并增加螺钉以进一步减少髋关节应力峰值。
基金supported by the National Key Research and Development Program of China(2022YFC2601602)Major Program of National Natural Science Foundation of China(32090023)Beijing Wildlife Rescue Center,China。
文摘The gut microbiota significantly influences host physiology and provides essential ecosystem services.While diet can affect the composition of the gut microbiota,the gut microbiota can also help the host adapt to specific dietary habits.The carrion crow(Corvus corone),an urban facultative scavenger bird,hosts an abundance of pathogens due to its scavenging behavior.Despite this,carrion crows infrequently exhibit illness,a phenomenon related to their unique physiological adaptability.At present,however,the role of the gut microbiota remains incompletely understood.In this study,we performed a comparative analysis using 16S rRNA amplicon sequencing technology to assess colonic content in carrion crows and 16 other bird species with different diets in Beijing,China.Our findings revealed that the dominant gut microbiota in carrion crows was primarily composed of Proteobacteria(75.51%)and Firmicutes(22.37%).Significant differences were observed in the relative abundance of Enterococcus faecalis among groups,highlighting its potential as a biomarker of facultative scavenging behavior in carrion crows.Subsequently,E.faecalis isolated from carrion crows was transplanted into model mice to explore the protective effects of this bacterial community against Salmonella enterica infection.Results showed that E.faecalis down-regulated the expression of pro-inflammatory cytokines tumor necrosis factor alpha(TNF-α),interferon gamma(IFN-γ),and interleukin 6(IL-6),prevented S.enterica colonization,and regulated the composition of gut microbiota in mice,thereby modulating the host’s immune regulatory capacity.Therefore,E.faecalis exerts immunoregulatory and anti-pathogenic functions in carrion crows engaged in scavenging behavior,offering a representative case of how the gut microbiota contributes to the protection of hosts with specialized diets.
文摘Mammography is considered a significant image for accurate breast cancer detection.Content-based image retrieval(CBIR)contributes to classifying the query mammography image and retrieves similar mammographic images from the database.This CBIR system helps a physician to give better treatment.Local features must be described with the input images to retrieve similar images.Exist-ing methods are inefficient and inaccurate by failing in local features analysis.Hence,efficient digital mammography image retrieval needs to be implemented.This paper proposed reliable recovery of the mammographic image from the data-base,which requires the removal of noise using Kalman filter and scale-invariant feature transform(SIFT)for feature extraction with Crow Search Optimization-based the deep belief network(CSO-DBN).This proposed technique decreases the complexity,cost,energy,and time consumption.Training the proposed model using a deep belief network and validation is performed.Finally,the testing pro-cess gives better performance compared to existing techniques.The accuracy rate of the proposed work CSO-DBN is 0.9344,whereas the support vector machine(SVM)(0.5434),naïve Bayes(NB)(0.7014),Butterfly Optimization Algorithm(BOA)(0.8156),and Cat Swarm Optimization(CSO)(0.8852).
文摘Mammography is considered a significant image for accurate breast cancer detection.Content-based image retrieval(CBIR)contributes to classifying the query mammography image and retrieves similar mammographic images from the database.This CBIR system helps a physician to give better treatment.Local features must be described with the input images to retrieve similar images.Exist-ing methods are inefficient and inaccurate by failing in local features analysis.Hence,efficient digital mammography image retrieval needs to be implemented.This paper proposed reliable recovery of the mammographic image from the data-base,which requires the removal of noise using Kalmanfilter and scale-invariant feature transform(SIFT)for feature extraction with Crow Search Optimization-based the deep belief network(CSO-DBN).This proposed technique decreases the complexity,cost,energy,and time consumption.Training the proposed model using a deep belief network and validation is performed.Finally,the testing pro-cess gives better performance compared to existing techniques.The accuracy rate of the proposed work CSO-DBN is 0.9344,whereas the support vector machine(SVM)(0.5434),naïve Bayes(NB)(0.7014),Butterfly Optimization Algorithm(BOA)(0.8156),and Cat Swarm Optimization(CSO)(0.8852).
文摘Chi Zijian’s novel White Snow Crow is about the pestis in Northeast China from the autumn and winter of 1910 to the spring of 1911,focusing on the living conditions of people in Fujiadian,Harbin,under the shadow of the pestis,and thus connects the vicissitudes of Harbin in the development of modern Chinese history.Re-reading this novel in the context of the post-epidemic era not only allows us to immerse ourselves in the specific temporal and spatial fields described in the text with an immersive reading mindset,feel the heavy impact that the disaster has brought to the people of Northeast China,but also provide us with a different perspective to observe the current social reality.In particular,the social problems shown by the novel through the pestis and the description of ordinary people’s life experience under the plague still deserve further discussion.
