GERON Card Clothing(Jiangsu)Co.,Ltd.was founded in 1987 and is a professional textile carding equipment enterprise integrating research,production and sales.The production and sales of carding equipment have been lead...GERON Card Clothing(Jiangsu)Co.,Ltd.was founded in 1987 and is a professional textile carding equipment enterprise integrating research,production and sales.The production and sales of carding equipment have been leading the industry for many years.Our products include metallic card clothing,flat-top,stationary flat,circular comb and combing roller.Our brands include TYRION,Blue Diamond,Diamond,Pioneer and Lance.We provide customers with the most advanced carding solutions.展开更多
In the workshop of Guangshan White Shark Card Clothing Co.,Ltd.,precision machines are meticulously crafting the tips of card clothing with millimeter-level accuracy.These seemingly tiny textile accessories play a cru...In the workshop of Guangshan White Shark Card Clothing Co.,Ltd.,precision machines are meticulously crafting the tips of card clothing with millimeter-level accuracy.These seemingly tiny textile accessories play a crucial role in the global cotton and chemical fiber industry chains.As China's textile industry encounters trade barriers in the process of globalization,this company specializing in card clothing manufacturing is striving to explore a differentiated path in overseas markets.展开更多
Operating out of Shanghai,Brujas Textile Tech(Shanghai)Co.,Ltd.(“Brujas”)is a wholly owned subsidiary of Guangshan White Shark Card Clothing Co.,Ltd.(“White Shark”)tasked with providing international trade service...Operating out of Shanghai,Brujas Textile Tech(Shanghai)Co.,Ltd.(“Brujas”)is a wholly owned subsidiary of Guangshan White Shark Card Clothing Co.,Ltd.(“White Shark”)tasked with providing international trade services to support its parent company's global operations.Whereas White Shark,as the parent company founded in 1962,is the manufacture facilities located in Xinyang,Henan Province.Brujas was founded in 1908 by the Brujas family in Terrassa,Spain.In 2008,White Shark integrated Brujas brand into its production and added European experience and knowledge that continues in the production today.This enables White Shark and Brujas to provide customers with the best,personalized carding solutions.White Shark and Brujas service 8700 clients in over 40 countries globally.The main products of the company include but not limited to:metallic card clothing,flat tops,stationary flat,circular comb,combing roller,cleaning fillet,raising fillet,flexible fillet etc.,and they are widely used in the areas of cotton spinning,non-woven materials,wool and linen spinning.展开更多
胱天蛋白募集域蛋白9(caspase recruitment domain-containg protein 9,CARD9)是先天免疫系统中一种重要的信号转导分子,在抗真菌下游发挥着非常重要的作用。同时,随着研究的深入,学者们发现CARD9蛋白与多种免疫性疾病具有高度的相关性...胱天蛋白募集域蛋白9(caspase recruitment domain-containg protein 9,CARD9)是先天免疫系统中一种重要的信号转导分子,在抗真菌下游发挥着非常重要的作用。同时,随着研究的深入,学者们发现CARD9蛋白与多种免疫性疾病具有高度的相关性。CARD9存在着自抑制形态以及复杂的正、负调控途径,这些都影响着机体下游的免疫应答强度。因此,了解CARD9的调控途径至关重要。CARD9的激活途径在真菌识别的背景下,尤其是CLR通路中得到了最透彻的研究。该文总结了在C型凝集素受体-CARD9-NF-κB通路上,CARD9的自抑制形态的维持和解除,以及正、负调控途径如何影响CARD9的激活,以帮助更好地理解CARD9缺陷患者免疫系统异常反应的原理,从而促进CARD9缺陷患者获得更佳的治疗。展开更多
Digital twin can simulate and monitor the state and behavior of physical entities in the real world,helping enterprises to better understand and manage real-world physical systems,improve production efficiency,reduce ...Digital twin can simulate and monitor the state and behavior of physical entities in the real world,helping enterprises to better understand and manage real-world physical systems,improve production efficiency,reduce costs,and improve safety and reliability.In this paper,we use GTS motion control card and Unity engine to build a digital twin system,and control a virtual industrial automation handling platform including two screw servo axes and multiple sensors through the physical GTS motion control card.The control card program controls the motion of the virtual model through transmission control protocol(TCP)communication,and the virtual model system feeds back the signal to the control card program to achieve the virtual and real synchronous digital twin effect.The digital twin system uses Unity engine to create a highly realistic virtual environment,and can run on multi-platform terminals.展开更多
This study explores the design of functional health science games from the perspective of constructivist learning theory,with a particular focus on card-based gameplay.Using antibiotic-resistant bacteria and phage the...This study explores the design of functional health science games from the perspective of constructivist learning theory,with a particular focus on card-based gameplay.Using antibiotic-resistant bacteria and phage therapy as thematic content,the research proposes three core design principles:interactive exploratory environments,progressively challenging yet controllable level structures,and trial-and-error-based learning.These principles are applied in the prototype game Night of Hospital.The study details the design process across three key dimensions—visual environment,level mechanics,and deck-building systems—and demonstrates how knowledge construction can be embedded within the game system.The findings provide a viable framework for enhancing both the educational impact and entertainment value of science communication games.展开更多
In order to find the effect of state device installed on a carding machine on card sliver quality, card slivers produced in conditions of different voltages and gauges were tested by USTER AFIS. The results show that,...In order to find the effect of state device installed on a carding machine on card sliver quality, card slivers produced in conditions of different voltages and gauges were tested by USTER AFIS. The results show that, when the gauge is 1 nun, most parameters of card sliver quality are better when voltage is 600 V than those when no voltage is applied. The contents of nep, trash, visible foreign matter （VFM） and short fiber content by number （SFCn）, short fiber content by weight （SFCw）, immature fiber content （IFC） of card sliver decrease by 5.9%, 16.7%, 12.5%, 5.3%, 4.8% and 1.6%, respectively, but seed coat nep （SCN） content of card sliver doesn＇t decrease. When the electrostatic plate gauge is 2 mm and electrostatic voltage is 4000 V, the removal efficiency of neps and SCN is remarkable, decreasing by 8.7% and 25% respectively. Card sliver quality is hardly improved under any voltage when the gauge between electrostatic plate and cylinder is 3mm.展开更多
With the increased accessibility of global trade information,transaction fraud has become a major worry in global banking and commerce security.The incidence and magnitude of transaction fraud are increasing daily,res...With the increased accessibility of global trade information,transaction fraud has become a major worry in global banking and commerce security.The incidence and magnitude of transaction fraud are increasing daily,resulting in significant financial losses for both customers and financial professionals.With improvements in data mining and machine learning in computer science,the capacity to detect transaction fraud is becoming increasingly attainable.The primary goal of this research is to undertake a comparative examination of cutting-edge machine-learning algorithms developed to detect credit card fraud.The research looks at the efficacy of these machine learning algorithms using a publicly available dataset of credit card transactions performed by European cardholders in 2023,comprising around 550,000 records.The study uses this dataset to assess the performance of well-established machine learning models,measuring their accuracy,recall,and F1 score.In addition,the study includes a confusion matrix for all models to aid in evaluation and training time duration.Machin learning models,including Logistic regression,random forest,extra trees,and LGBM,achieve high accuracy and precision in the credit card fraud detection dataset,with a reported accuracy,recall,and F1 score of 1.00 for both classes.展开更多
Fraud of credit cards is a major issue for financial organizations and individuals.As fraudulent actions become more complex,a demand for better fraud detection systems is rising.Deep learning approaches have shown pr...Fraud of credit cards is a major issue for financial organizations and individuals.As fraudulent actions become more complex,a demand for better fraud detection systems is rising.Deep learning approaches have shown promise in several fields,including detecting credit card fraud.However,the efficacy of these models is heavily dependent on the careful selection of appropriate hyperparameters.This paper introduces models that integrate deep learning models with hyperparameter tuning techniques to learn the patterns and relationships within credit card transaction data,thereby improving fraud detection.Three deep learning models:AutoEncoder(AE),Convolution Neural Network(CNN),and Long Short-Term Memory(LSTM)are proposed to investigate how hyperparameter adjustment impacts the efficacy of deep learning models used to identify credit card fraud.The experiments conducted on a European credit card fraud dataset using different hyperparameters and three deep learning models demonstrate that the proposed models achieve a tradeoff between detection rate and precision,leading these models to be effective in accurately predicting credit card fraud.The results demonstrate that LSTM significantly outperformed AE and CNN in terms of accuracy(99.2%),detection rate(93.3%),and area under the curve(96.3%).These proposed models have surpassed those of existing studies and are expected to make a significant contribution to the field of credit card fraud detection.展开更多
A dandelion algorithm(DA) is a recently developed intelligent optimization algorithm for function optimization problems. Many of its parameters need to be set by experience in DA,which might not be appropriate for all...A dandelion algorithm(DA) is a recently developed intelligent optimization algorithm for function optimization problems. Many of its parameters need to be set by experience in DA,which might not be appropriate for all optimization problems. A self-adapting and efficient dandelion algorithm is proposed in this work to lower the number of DA's parameters and simplify DA's structure. Only the normal sowing operator is retained;while the other operators are discarded. An adaptive seeding radius strategy is designed for the core dandelion. The results show that the proposed algorithm achieves better performance on the standard test functions with less time consumption than its competitive peers. In addition, the proposed algorithm is applied to feature selection for credit card fraud detection(CCFD), and the results indicate that it can obtain higher classification and detection performance than the-state-of-the-art methods.展开更多
Background:The incidence of clear cell renal cell carcinoma(ccRCC)is globally high;however,despite the introduction of innovative drug therapies,there remains a lack of effective biomarkers for evaluating treatment re...Background:The incidence of clear cell renal cell carcinoma(ccRCC)is globally high;however,despite the introduction of innovative drug therapies,there remains a lack of effective biomarkers for evaluating treatment response.Recently,Caspase recruiting domain-containing protein 11(CARD11)has garnered attention due to its significant association with tumor development and the immune system.Methods:The expression of CARD11 mRNA and protein in ccRCC were analyzed by public database and immunohistochemistry.The focus of this study is on the epigenomic modifications of CARD11,its expression of ccRCC immunophenotype,and its correlation with response to immunotherapy and targeted therapy.Furthermore,to investigate the mechanism of this molecule’s influence on different biological behaviors of cells,cell tests in vitro have been conducted to observe the impact of its expression level.Results:CARD11 expression was upregulated which may be mainly modified by body methylation and was correlated with poor prognosis in ccRCC.In the tumor microenvironment of ccRCC,CARD11 expression was positively correlated with increased T lymphocyte infiltration and increased expression of inhibitory immune checkpoints.Moreover,ccRCC patients with high CARD11 expression had a better response to immunotherapy and targeted therapy.The knockdown of CARD11 ultimately suppressed the proliferation,migration,and invasion capabilities of ccRCC cells while simultaneously enhancing tumor cell apoptosis.Conclusion:We identified CARD11 as a novel therapeutic biomarker for immunotherapy and targeted therapy in ccRCC.展开更多
With economic progress and the continuous advancement of science and technology,the issue of employees substituting punch cards has gradually become a significant challenge in enterprise management.The purpose of this...With economic progress and the continuous advancement of science and technology,the issue of employees substituting punch cards has gradually become a significant challenge in enterprise management.The purpose of this paper is to discuss the causes,effects,and countermeasures of the employee punch card phenomenon,with the aim of providing effective management recommendations for Chinese enterprises.In practice,enterprises should flexibly apply the countermeasures proposed in this paper according to their specific circumstances to prevent substitute punch card incidents and improve overall management efficiency.展开更多
文摘GERON Card Clothing(Jiangsu)Co.,Ltd.was founded in 1987 and is a professional textile carding equipment enterprise integrating research,production and sales.The production and sales of carding equipment have been leading the industry for many years.Our products include metallic card clothing,flat-top,stationary flat,circular comb and combing roller.Our brands include TYRION,Blue Diamond,Diamond,Pioneer and Lance.We provide customers with the most advanced carding solutions.
文摘In the workshop of Guangshan White Shark Card Clothing Co.,Ltd.,precision machines are meticulously crafting the tips of card clothing with millimeter-level accuracy.These seemingly tiny textile accessories play a crucial role in the global cotton and chemical fiber industry chains.As China's textile industry encounters trade barriers in the process of globalization,this company specializing in card clothing manufacturing is striving to explore a differentiated path in overseas markets.
文摘Operating out of Shanghai,Brujas Textile Tech(Shanghai)Co.,Ltd.(“Brujas”)is a wholly owned subsidiary of Guangshan White Shark Card Clothing Co.,Ltd.(“White Shark”)tasked with providing international trade services to support its parent company's global operations.Whereas White Shark,as the parent company founded in 1962,is the manufacture facilities located in Xinyang,Henan Province.Brujas was founded in 1908 by the Brujas family in Terrassa,Spain.In 2008,White Shark integrated Brujas brand into its production and added European experience and knowledge that continues in the production today.This enables White Shark and Brujas to provide customers with the best,personalized carding solutions.White Shark and Brujas service 8700 clients in over 40 countries globally.The main products of the company include but not limited to:metallic card clothing,flat tops,stationary flat,circular comb,combing roller,cleaning fillet,raising fillet,flexible fillet etc.,and they are widely used in the areas of cotton spinning,non-woven materials,wool and linen spinning.
文摘胱天蛋白募集域蛋白9(caspase recruitment domain-containg protein 9,CARD9)是先天免疫系统中一种重要的信号转导分子,在抗真菌下游发挥着非常重要的作用。同时,随着研究的深入,学者们发现CARD9蛋白与多种免疫性疾病具有高度的相关性。CARD9存在着自抑制形态以及复杂的正、负调控途径,这些都影响着机体下游的免疫应答强度。因此,了解CARD9的调控途径至关重要。CARD9的激活途径在真菌识别的背景下,尤其是CLR通路中得到了最透彻的研究。该文总结了在C型凝集素受体-CARD9-NF-κB通路上,CARD9的自抑制形态的维持和解除,以及正、负调控途径如何影响CARD9的激活,以帮助更好地理解CARD9缺陷患者免疫系统异常反应的原理,从而促进CARD9缺陷患者获得更佳的治疗。
基金Research Startup Project of Shenzhen Polytechnic University“Research and Development of High-Speed and High-Resolution 2D/3D Combined Vision Sensor”(Project No.6022312003K).
文摘Digital twin can simulate and monitor the state and behavior of physical entities in the real world,helping enterprises to better understand and manage real-world physical systems,improve production efficiency,reduce costs,and improve safety and reliability.In this paper,we use GTS motion control card and Unity engine to build a digital twin system,and control a virtual industrial automation handling platform including two screw servo axes and multiple sensors through the physical GTS motion control card.The control card program controls the motion of the virtual model through transmission control protocol(TCP)communication,and the virtual model system feeds back the signal to the control card program to achieve the virtual and real synchronous digital twin effect.The digital twin system uses Unity engine to create a highly realistic virtual environment,and can run on multi-platform terminals.
文摘This study explores the design of functional health science games from the perspective of constructivist learning theory,with a particular focus on card-based gameplay.Using antibiotic-resistant bacteria and phage therapy as thematic content,the research proposes three core design principles:interactive exploratory environments,progressively challenging yet controllable level structures,and trial-and-error-based learning.These principles are applied in the prototype game Night of Hospital.The study details the design process across three key dimensions—visual environment,level mechanics,and deck-building systems—and demonstrates how knowledge construction can be embedded within the game system.The findings provide a viable framework for enhancing both the educational impact and entertainment value of science communication games.
基金Supported by Fund of Scientific and Technological Key Project Plan of Liaoning Province , China(No.2003220026)Fund of Education Depart ment of Liaoning Province,China(No.05L147)
文摘In order to find the effect of state device installed on a carding machine on card sliver quality, card slivers produced in conditions of different voltages and gauges were tested by USTER AFIS. The results show that, when the gauge is 1 nun, most parameters of card sliver quality are better when voltage is 600 V than those when no voltage is applied. The contents of nep, trash, visible foreign matter （VFM） and short fiber content by number （SFCn）, short fiber content by weight （SFCw）, immature fiber content （IFC） of card sliver decrease by 5.9%, 16.7%, 12.5%, 5.3%, 4.8% and 1.6%, respectively, but seed coat nep （SCN） content of card sliver doesn＇t decrease. When the electrostatic plate gauge is 2 mm and electrostatic voltage is 4000 V, the removal efficiency of neps and SCN is remarkable, decreasing by 8.7% and 25% respectively. Card sliver quality is hardly improved under any voltage when the gauge between electrostatic plate and cylinder is 3mm.
文摘With the increased accessibility of global trade information,transaction fraud has become a major worry in global banking and commerce security.The incidence and magnitude of transaction fraud are increasing daily,resulting in significant financial losses for both customers and financial professionals.With improvements in data mining and machine learning in computer science,the capacity to detect transaction fraud is becoming increasingly attainable.The primary goal of this research is to undertake a comparative examination of cutting-edge machine-learning algorithms developed to detect credit card fraud.The research looks at the efficacy of these machine learning algorithms using a publicly available dataset of credit card transactions performed by European cardholders in 2023,comprising around 550,000 records.The study uses this dataset to assess the performance of well-established machine learning models,measuring their accuracy,recall,and F1 score.In addition,the study includes a confusion matrix for all models to aid in evaluation and training time duration.Machin learning models,including Logistic regression,random forest,extra trees,and LGBM,achieve high accuracy and precision in the credit card fraud detection dataset,with a reported accuracy,recall,and F1 score of 1.00 for both classes.
文摘Fraud of credit cards is a major issue for financial organizations and individuals.As fraudulent actions become more complex,a demand for better fraud detection systems is rising.Deep learning approaches have shown promise in several fields,including detecting credit card fraud.However,the efficacy of these models is heavily dependent on the careful selection of appropriate hyperparameters.This paper introduces models that integrate deep learning models with hyperparameter tuning techniques to learn the patterns and relationships within credit card transaction data,thereby improving fraud detection.Three deep learning models:AutoEncoder(AE),Convolution Neural Network(CNN),and Long Short-Term Memory(LSTM)are proposed to investigate how hyperparameter adjustment impacts the efficacy of deep learning models used to identify credit card fraud.The experiments conducted on a European credit card fraud dataset using different hyperparameters and three deep learning models demonstrate that the proposed models achieve a tradeoff between detection rate and precision,leading these models to be effective in accurately predicting credit card fraud.The results demonstrate that LSTM significantly outperformed AE and CNN in terms of accuracy(99.2%),detection rate(93.3%),and area under the curve(96.3%).These proposed models have surpassed those of existing studies and are expected to make a significant contribution to the field of credit card fraud detection.
基金supported by the Institutional Fund Projects(IFPIP-1481-611-1443)the Key Projects of Natural Science Research in Anhui Higher Education Institutions(2022AH051909)+1 种基金the Provincial Quality Project of Colleges and Universities in Anhui Province(2022sdxx020,2022xqhz044)Bengbu University 2021 High-Level Scientific Research and Cultivation Project(2021pyxm04)。
文摘A dandelion algorithm(DA) is a recently developed intelligent optimization algorithm for function optimization problems. Many of its parameters need to be set by experience in DA,which might not be appropriate for all optimization problems. A self-adapting and efficient dandelion algorithm is proposed in this work to lower the number of DA's parameters and simplify DA's structure. Only the normal sowing operator is retained;while the other operators are discarded. An adaptive seeding radius strategy is designed for the core dandelion. The results show that the proposed algorithm achieves better performance on the standard test functions with less time consumption than its competitive peers. In addition, the proposed algorithm is applied to feature selection for credit card fraud detection(CCFD), and the results indicate that it can obtain higher classification and detection performance than the-state-of-the-art methods.
基金supported by grants from the Guangdong Provincial Department of Finance Project in 2022(KS0120220267,KS0120220268,KS0120220272,KS0120220271)Guangdong Basic and Applied Basic Research Natural Science Funding(2023A1515012485)+1 种基金Science and Technology Projects in Guangzhou(202102020058)Launch funding of the National Natural Science Foundation of China(8210101099).
文摘Background:The incidence of clear cell renal cell carcinoma(ccRCC)is globally high;however,despite the introduction of innovative drug therapies,there remains a lack of effective biomarkers for evaluating treatment response.Recently,Caspase recruiting domain-containing protein 11(CARD11)has garnered attention due to its significant association with tumor development and the immune system.Methods:The expression of CARD11 mRNA and protein in ccRCC were analyzed by public database and immunohistochemistry.The focus of this study is on the epigenomic modifications of CARD11,its expression of ccRCC immunophenotype,and its correlation with response to immunotherapy and targeted therapy.Furthermore,to investigate the mechanism of this molecule’s influence on different biological behaviors of cells,cell tests in vitro have been conducted to observe the impact of its expression level.Results:CARD11 expression was upregulated which may be mainly modified by body methylation and was correlated with poor prognosis in ccRCC.In the tumor microenvironment of ccRCC,CARD11 expression was positively correlated with increased T lymphocyte infiltration and increased expression of inhibitory immune checkpoints.Moreover,ccRCC patients with high CARD11 expression had a better response to immunotherapy and targeted therapy.The knockdown of CARD11 ultimately suppressed the proliferation,migration,and invasion capabilities of ccRCC cells while simultaneously enhancing tumor cell apoptosis.Conclusion:We identified CARD11 as a novel therapeutic biomarker for immunotherapy and targeted therapy in ccRCC.
文摘With economic progress and the continuous advancement of science and technology,the issue of employees substituting punch cards has gradually become a significant challenge in enterprise management.The purpose of this paper is to discuss the causes,effects,and countermeasures of the employee punch card phenomenon,with the aim of providing effective management recommendations for Chinese enterprises.In practice,enterprises should flexibly apply the countermeasures proposed in this paper according to their specific circumstances to prevent substitute punch card incidents and improve overall management efficiency.
