During the National People's Congress(NPC)and the Chinese People's Political Consultative Conference(CPPCC)in 2025,ESG-related issues have received widespread attention.Several NPC deputies and CPPCC members h...During the National People's Congress(NPC)and the Chinese People's Political Consultative Conference(CPPCC)in 2025,ESG-related issues have received widespread attention.Several NPC deputies and CPPCC members have put forward suggestions on ESG policies,green finance,corporate ESG practices and other topics,aiming to promote China's ESG development to a new stage.展开更多
On April 10,2025,the China International Exhibition Center(Shunyi Pavi l ion)became a symphony of roaring engines and dazzling digital light scapes as the 2025 Beijing International Motorcycle Expo kicked off.Under th...On April 10,2025,the China International Exhibition Center(Shunyi Pavi l ion)became a symphony of roaring engines and dazzling digital light scapes as the 2025 Beijing International Motorcycle Expo kicked off.Under the theme of“Promot ing Safe and Civilized Riding Awareness,Advancing the Orderly Development of Motorcycle Culture”,the event attracted over 150 global enterprises and nearly 200 brands.展开更多
Since last year,China’s inbound tourism market has accelerated its recovery.With the introduction and optimization of various facilitation policies and the development of new products,the inbound tourism market has s...Since last year,China’s inbound tourism market has accelerated its recovery.With the introduction and optimization of various facilitation policies and the development of new products,the inbound tourism market has shown unlimited potential for growth.According to data from the Data Center of the Ministry of Culture and Tourism,the number of inbound tourists reached a new high during the Spring Festival in 2025.The UK became China's third largest source of inbound tourists after the Republic of Korea and Japan.展开更多
China International Supply Chain Expo(hereinafter referred to as the CISCE)is a key platform for enterprises to showcase their innovation strength and connect with global resources.As a“hidden champion”in the field ...China International Supply Chain Expo(hereinafter referred to as the CISCE)is a key platform for enterprises to showcase their innovation strength and connect with global resources.As a“hidden champion”in the field of intelligent manufacturing,Hunan SpeedBot Robot ics Co.,Ltd.(hereinaf ter refer red to as“SpeedBot”)is planning to display its independently developed“AI+3D Vision”core technology at the CISCE,to empower the supply chain of industries such as automobiles and heavy industry through a full-process automated detection solution.Liu Tingting,Vice General Manager of SpeedBot,said in an interview with China’s Foreign Trade,“The CISCE is not only a window for technology display,but also a link to promote collaborative innovations of the whole industrial chain.We look forward to building resilient supply chains with global partners and bringing China’s‘smart’manufacturing to the world.”展开更多
From August 14 to 16,the 52nd China Beijing International Gifts,Premium&Houseware Exhibition(hereinafter referred to as Beijing Gift&Home)was held at the China International Exhibition Center(Chaoyang Pavilion...From August 14 to 16,the 52nd China Beijing International Gifts,Premium&Houseware Exhibition(hereinafter referred to as Beijing Gift&Home)was held at the China International Exhibition Center(Chaoyang Pavilion)in Beijing,China.As the annual grand finale of the northern gift industry.展开更多
Background Lipoprotein(a)[Lp(a)]has been demonstrated to be closely associated with the development of cardiovascular disease(CVD),but its prognostic value in maintenance hemodialysis(MHD)patients remains controversia...Background Lipoprotein(a)[Lp(a)]has been demonstrated to be closely associated with the development of cardiovascular disease(CVD),but its prognostic value in maintenance hemodialysis(MHD)patients remains controversial.This study aimed to evaluate the association between Lp(a)levels and adverse outcomes in this highrisk population,with a focus on both mortality and new-onset cardiovascular events(CV events).Methods In this retrospective observational study,we enrolled181 MHD patients who were stratified into normal Lp(a)level group[Lp(a)≤300 mg/L,n=112]and elevated Lp(a)level group[Lp(a)>300 mg/L,n=69].Survival analysis was performed using Kaplan-Meier curves,and Cox regression models were employed to evaluate the impact on all-cause mortalityand new-onset CV events.Results Over a median follow-up of 79.0 months(IQR:45.0-109.0),the elevated Lp(a)group exhibited significantly increased CV events incidence(79.7%vs.29.5%,P<0.001).Elevated Lp(a)was independently associated with higher risks of all-cause mortality(multivariable-adjusted HR:2.220,95%CI:1.039-4.740)and new-0nset CV events(HR:3.614,95%CI:2.164-6.035).Each 10 mg/L Lp(a)increment conferred a 1.1%increased cardiovascular risk(P<0.001).ConclusionssElevated Lp(a)is a strong,independent predictor of all-cause mortality and new-onset CV events in MHD patients.These findings highlighted the potential utility of Lp(a)in routine CVD risk assessment and underscored the need for targeted therapies to mitigate residual risk in this population.展开更多
Vision-based relative pose estimation plays a pivotal role in various space missions.Deep learning enhances monocular spacecraft pose estimation,but high computational demands necessitate model simplification for onbo...Vision-based relative pose estimation plays a pivotal role in various space missions.Deep learning enhances monocular spacecraft pose estimation,but high computational demands necessitate model simplification for onboard systems.In this paper,we aim to achieve an optimal balance between accuracy and computational efficiency.We present a Perspective-n-Point(PnP)based method for spacecraft pose estimation,leveraging lightweight neural networks to localize semantic keypoints and reduce computational load.Since the accuracy of keypoint localization is closely related to the heatmap resolution,we devise an efficient upsampling module to increase the resolution of heatmaps with minimal overhead.Furthermore,the heatmaps predicted by the lightweight models tend to show high-level noise.To tackle this issue,we propose a weighting strategy by analyzing the statistical characteristics of predicted semantic keypoints and substantially improve the pose estimation accuracy.The experiments carried out on the SPEED dataset underscore the prospect of our method in engineering applications.We dramatically reduce the model parameters to 0.7 M,merely 2.5%of that required by the top-performing method,and achieve lower pose estimation error and better real-time performance.展开更多
文摘During the National People's Congress(NPC)and the Chinese People's Political Consultative Conference(CPPCC)in 2025,ESG-related issues have received widespread attention.Several NPC deputies and CPPCC members have put forward suggestions on ESG policies,green finance,corporate ESG practices and other topics,aiming to promote China's ESG development to a new stage.
文摘On April 10,2025,the China International Exhibition Center(Shunyi Pavi l ion)became a symphony of roaring engines and dazzling digital light scapes as the 2025 Beijing International Motorcycle Expo kicked off.Under the theme of“Promot ing Safe and Civilized Riding Awareness,Advancing the Orderly Development of Motorcycle Culture”,the event attracted over 150 global enterprises and nearly 200 brands.
文摘Since last year,China’s inbound tourism market has accelerated its recovery.With the introduction and optimization of various facilitation policies and the development of new products,the inbound tourism market has shown unlimited potential for growth.According to data from the Data Center of the Ministry of Culture and Tourism,the number of inbound tourists reached a new high during the Spring Festival in 2025.The UK became China's third largest source of inbound tourists after the Republic of Korea and Japan.
文摘China International Supply Chain Expo(hereinafter referred to as the CISCE)is a key platform for enterprises to showcase their innovation strength and connect with global resources.As a“hidden champion”in the field of intelligent manufacturing,Hunan SpeedBot Robot ics Co.,Ltd.(hereinaf ter refer red to as“SpeedBot”)is planning to display its independently developed“AI+3D Vision”core technology at the CISCE,to empower the supply chain of industries such as automobiles and heavy industry through a full-process automated detection solution.Liu Tingting,Vice General Manager of SpeedBot,said in an interview with China’s Foreign Trade,“The CISCE is not only a window for technology display,but also a link to promote collaborative innovations of the whole industrial chain.We look forward to building resilient supply chains with global partners and bringing China’s‘smart’manufacturing to the world.”
文摘From August 14 to 16,the 52nd China Beijing International Gifts,Premium&Houseware Exhibition(hereinafter referred to as Beijing Gift&Home)was held at the China International Exhibition Center(Chaoyang Pavilion)in Beijing,China.As the annual grand finale of the northern gift industry.
基金supported by Tibet Autonomous Region Natural Science Foundation[No.XZ2024ZR-ZY084(Z)and No.XZ2023ZR-ZY63(Z)]Guangdong Provincial Natural Science Foundation(No.2022A1515010551)。
文摘Background Lipoprotein(a)[Lp(a)]has been demonstrated to be closely associated with the development of cardiovascular disease(CVD),but its prognostic value in maintenance hemodialysis(MHD)patients remains controversial.This study aimed to evaluate the association between Lp(a)levels and adverse outcomes in this highrisk population,with a focus on both mortality and new-onset cardiovascular events(CV events).Methods In this retrospective observational study,we enrolled181 MHD patients who were stratified into normal Lp(a)level group[Lp(a)≤300 mg/L,n=112]and elevated Lp(a)level group[Lp(a)>300 mg/L,n=69].Survival analysis was performed using Kaplan-Meier curves,and Cox regression models were employed to evaluate the impact on all-cause mortalityand new-onset CV events.Results Over a median follow-up of 79.0 months(IQR:45.0-109.0),the elevated Lp(a)group exhibited significantly increased CV events incidence(79.7%vs.29.5%,P<0.001).Elevated Lp(a)was independently associated with higher risks of all-cause mortality(multivariable-adjusted HR:2.220,95%CI:1.039-4.740)and new-0nset CV events(HR:3.614,95%CI:2.164-6.035).Each 10 mg/L Lp(a)increment conferred a 1.1%increased cardiovascular risk(P<0.001).ConclusionssElevated Lp(a)is a strong,independent predictor of all-cause mortality and new-onset CV events in MHD patients.These findings highlighted the potential utility of Lp(a)in routine CVD risk assessment and underscored the need for targeted therapies to mitigate residual risk in this population.
基金co-supported by the National Natural Science Foundation of China(Nos.12302252 and 12472189)the Research Program of National University of Defense Technology,China(No.ZK24-31).
文摘Vision-based relative pose estimation plays a pivotal role in various space missions.Deep learning enhances monocular spacecraft pose estimation,but high computational demands necessitate model simplification for onboard systems.In this paper,we aim to achieve an optimal balance between accuracy and computational efficiency.We present a Perspective-n-Point(PnP)based method for spacecraft pose estimation,leveraging lightweight neural networks to localize semantic keypoints and reduce computational load.Since the accuracy of keypoint localization is closely related to the heatmap resolution,we devise an efficient upsampling module to increase the resolution of heatmaps with minimal overhead.Furthermore,the heatmaps predicted by the lightweight models tend to show high-level noise.To tackle this issue,we propose a weighting strategy by analyzing the statistical characteristics of predicted semantic keypoints and substantially improve the pose estimation accuracy.The experiments carried out on the SPEED dataset underscore the prospect of our method in engineering applications.We dramatically reduce the model parameters to 0.7 M,merely 2.5%of that required by the top-performing method,and achieve lower pose estimation error and better real-time performance.
