先天性肌病是一组遗传性肌肉疾病,临床上以从新生儿开始的肌张力低和呼吸暂停为特征,并伴有特异的肌肉组织病理学特征。Spiro A J等[1]于1967年首次提出“肌管性肌病”(myotubular myopathy,MTM)一词。其中最严重的一种基因型被称为X-...先天性肌病是一组遗传性肌肉疾病,临床上以从新生儿开始的肌张力低和呼吸暂停为特征,并伴有特异的肌肉组织病理学特征。Spiro A J等[1]于1967年首次提出“肌管性肌病”(myotubular myopathy,MTM)一词。其中最严重的一种基因型被称为X-连锁肌管肌病(X-linked myotubular myopathy,XLMTM),通常伴有不同程度的张力减退和全身肌肉无力。X-连锁肌管肌病是由Xq28上的MTM1基因突变引起的[2]。它编码一种酪氨酸磷酸酶,该酶已被证明参与控制细胞生长的转导途径,并在维持肌紧张中起重要作用[3]。XLMTM患者表现为肌张力减退、呼吸衰竭、全身肌无力等临床特征,肌肉组织病理学上可见大量小而圆的肌纤维。XLMTM的大多数突变可以在外显子3、4、8、9、11和12区被检测到[2]。本文报道1例新生儿肌管性肌病,其外显子3区存在MTM1基因突变。展开更多
In the textile industry,garment manufacturing contains four major pro-cesses containing cutting,sewing,finishing,and packaging.Sewing is the most crucial and intricate section,dealing with a large number of varied oper...In the textile industry,garment manufacturing contains four major pro-cesses containing cutting,sewing,finishing,and packaging.Sewing is the most crucial and intricate section,dealing with a large number of varied operations.A successful sewing process needs to be optimized regarding different factors,including time,sewing equipment,and skilled workers.Assembly lineflow is combined by a set of operations with a particular sequence.The utmost impor-tance of all garment industry is to arrange the workstations to minimize the num-ber of employees in order to produce at the best productive rate with the most reasonable cost,shortest time,and satisfying quality.In most garment factories,the production lines are balanced using the empirical judgment of the line man-agers.For the whole process the data of production time at each step,labor pro-ductivity,proper choices of equipment were always needed to calculate line efficiency.As far as the issue is concerned,there has not been an academically sewing process analyzing software providing adequate data of sewing motions and sewing time as the credible input for the line balancing tasks.Towards this goal,this paper presents the results of research on optimizing academically self-built software to analyze the sewing process of knitted products applied to industrial production using Java programming language on Google tools.The results achieved by the software are not only to analyze sewing products and the technological sewing process,calculate the sewing time on the machine but also analyze the sewing activities of workers into manipulations,movements,and motions to calculate the preparation time for two typical knitted products,namely,Polo-Shirt and T-Shirt with the case studies at General Textile Garment Joint Stock Company Hanoi and Star Fashion Company Limited.展开更多
基金This study was carried out within the framework of the topic Science and Technology 01C–02/04–2019–3.
文摘In the textile industry,garment manufacturing contains four major pro-cesses containing cutting,sewing,finishing,and packaging.Sewing is the most crucial and intricate section,dealing with a large number of varied operations.A successful sewing process needs to be optimized regarding different factors,including time,sewing equipment,and skilled workers.Assembly lineflow is combined by a set of operations with a particular sequence.The utmost impor-tance of all garment industry is to arrange the workstations to minimize the num-ber of employees in order to produce at the best productive rate with the most reasonable cost,shortest time,and satisfying quality.In most garment factories,the production lines are balanced using the empirical judgment of the line man-agers.For the whole process the data of production time at each step,labor pro-ductivity,proper choices of equipment were always needed to calculate line efficiency.As far as the issue is concerned,there has not been an academically sewing process analyzing software providing adequate data of sewing motions and sewing time as the credible input for the line balancing tasks.Towards this goal,this paper presents the results of research on optimizing academically self-built software to analyze the sewing process of knitted products applied to industrial production using Java programming language on Google tools.The results achieved by the software are not only to analyze sewing products and the technological sewing process,calculate the sewing time on the machine but also analyze the sewing activities of workers into manipulations,movements,and motions to calculate the preparation time for two typical knitted products,namely,Polo-Shirt and T-Shirt with the case studies at General Textile Garment Joint Stock Company Hanoi and Star Fashion Company Limited.
