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
Reducing the risk of fraud in credit card transactions is crucial for the competitiveness of companies,especially in Latin American countries.This study aims to establish measures for preventing and detecting fraud in...Reducing the risk of fraud in credit card transactions is crucial for the competitiveness of companies,especially in Latin American countries.This study aims to establish measures for preventing and detecting fraud in the use of credit cards in shops through analytical methods(data mining,machine learning and artificial intelligence).To achieve this objective,the study employs a predictive methodology using descriptive and exploratory statistics and frequency,frequency&monetary(RFM)classification techniques,differentiating between SMEs and large businesses via cluster analysis and supervised models.A dataset of 221,292 card records from a Latin American merchant payment gateway for the year 2022 is used.For fraud alerts,the classification model has been selected for small and medium–sized merchants,and the multilayer perceptron(MLP)neural network has been selected for large merchants.Random forest or Gini decision tree models have been selected as backup models for retraining.For the detection of punctual fraud patterns,the K-means and partitioning around medoids(PAM)models have been selected,depending on the type of trade.The results revealed that the application of the identified models would have prevented between 48 and 85%of fraud transactions,depending on the trade size.Despite the promising results,continuous updating is recommended,as fraudsters frequently implement new fraud techniques.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
Credit card fraud is one of the primary sources of operational risk in banks,and accurate prediction of fraudulent credit card transactions is essential to minimize banks’economic losses.Two key issues are faced in c...Credit card fraud is one of the primary sources of operational risk in banks,and accurate prediction of fraudulent credit card transactions is essential to minimize banks’economic losses.Two key issues are faced in credit card fraud detection research,i.e.,data category imbalance and data drift.However,the oversampling algorithm used in current research suffers from excessive noise,and the Long Short-Term Memory Network(LSTM)based temporal model suffers from gradient dispersion,which can lead to loss of model performance.To address the above problems,a credit card fraud detection method based on Random Forest-Wasserstein Generative Adversarial NetworkTemporal Convolutional Network(RF-WGAN-TCN)is proposed.First,the credit card data is preprocessed,the feature importance scores are calculated by Random Forest(RF),the features with lower importance are eliminated,and then the remaining features are standardized.Second,the Wasserstein Distance Improvement Generative Adversarial Network(GAN)is introduced to construct the Wasserstein Generative Adversarial Network(WGAN),the preprocessed data is input into the WGAN,and under the mutual game training of generator and discriminator,the fraud samples that meet the target distribution are obtained.Finally,the temporal convolutional network(TCN)is utilized to extract the long-time dependencies,and the classification results are output through the Softmax layer.Experimental results on the European cardholder dataset show that the method proposed in the paper achieves 91.96%,98.22%,and 81.95%in F1-Score,Area Under Curve(AUC),and Area Under the Precision-Recall Curve(AUPRC)metrics,respectively,and has higher prediction accuracy and classification performance compared with existing mainstream methods.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.
基金supported by project Finance for all(F4A),funded by the"Institución Gran Duque de Alba"and"Diputación provincial deávila"under the grant 3364/2022.
文摘Reducing the risk of fraud in credit card transactions is crucial for the competitiveness of companies,especially in Latin American countries.This study aims to establish measures for preventing and detecting fraud in the use of credit cards in shops through analytical methods(data mining,machine learning and artificial intelligence).To achieve this objective,the study employs a predictive methodology using descriptive and exploratory statistics and frequency,frequency&monetary(RFM)classification techniques,differentiating between SMEs and large businesses via cluster analysis and supervised models.A dataset of 221,292 card records from a Latin American merchant payment gateway for the year 2022 is used.For fraud alerts,the classification model has been selected for small and medium–sized merchants,and the multilayer perceptron(MLP)neural network has been selected for large merchants.Random forest or Gini decision tree models have been selected as backup models for retraining.For the detection of punctual fraud patterns,the K-means and partitioning around medoids(PAM)models have been selected,depending on the type of trade.The results revealed that the application of the identified models would have prevented between 48 and 85%of fraud transactions,depending on the trade size.Despite the promising results,continuous updating is recommended,as fraudsters frequently implement new fraud techniques.
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 the National Natural Science Foundation of China under Grant No.62466001the Talent Plan Project of Fuzhou City of Jiangxi Province of China under the Grant No.2021ED008+1 种基金the Opening Project of Jiangxi Key Laboratory of Cybersecurity Intelligent Perception under the Grant No.JKLCIP202202the Priority Unveiled Marshalling Project of Fuzhou City of Jiangxi Province of China under the Grant No.2023JBB026.
文摘Credit card fraud is one of the primary sources of operational risk in banks,and accurate prediction of fraudulent credit card transactions is essential to minimize banks’economic losses.Two key issues are faced in credit card fraud detection research,i.e.,data category imbalance and data drift.However,the oversampling algorithm used in current research suffers from excessive noise,and the Long Short-Term Memory Network(LSTM)based temporal model suffers from gradient dispersion,which can lead to loss of model performance.To address the above problems,a credit card fraud detection method based on Random Forest-Wasserstein Generative Adversarial NetworkTemporal Convolutional Network(RF-WGAN-TCN)is proposed.First,the credit card data is preprocessed,the feature importance scores are calculated by Random Forest(RF),the features with lower importance are eliminated,and then the remaining features are standardized.Second,the Wasserstein Distance Improvement Generative Adversarial Network(GAN)is introduced to construct the Wasserstein Generative Adversarial Network(WGAN),the preprocessed data is input into the WGAN,and under the mutual game training of generator and discriminator,the fraud samples that meet the target distribution are obtained.Finally,the temporal convolutional network(TCN)is utilized to extract the long-time dependencies,and the classification results are output through the Softmax layer.Experimental results on the European cardholder dataset show that the method proposed in the paper achieves 91.96%,98.22%,and 81.95%in F1-Score,Area Under Curve(AUC),and Area Under the Precision-Recall Curve(AUPRC)metrics,respectively,and has higher prediction accuracy and classification performance compared with existing mainstream methods.
