The international dissemination of culture is an inevitable trajectory of national development and a direct reflection of soft power enhancement.As a core sector of the digital cultural industry,the global expansion o...The international dissemination of culture is an inevitable trajectory of national development and a direct reflection of soft power enhancement.As a core sector of the digital cultural industry,the global expansion of Chinese games has become both a symbolic vehicle of China’s“going global”strategy and an important medium for cultural communication.The rapid rise of China’s online gaming industry demonstrates the growing strength of national soft power.In recent years,Chinese games have achieved notable success in overseas markets,marked by broader global presence,continuous technological innovation,and deeper industrial collaboration.With strong policy support,the industry has advanced from its initial emergence to a stage where quantitative growth is increasingly accompanied by qualitative improvement.This transformation not only elevates the industry to a new developmental phase but also positions Chinese games as a vital conduit for cross-cultural exchange and international engagement.展开更多
This paper introduces techniques in Gaussian process regression model for spatiotemporal data collected from complex systems.This study focuses on extracting local structures and then constructing surrogate models bas...This paper introduces techniques in Gaussian process regression model for spatiotemporal data collected from complex systems.This study focuses on extracting local structures and then constructing surrogate models based on Gaussian process assumptions.The proposed Dynamic Gaussian Process Regression(DGPR)consists of a sequence of local surrogate models related to each other.In DGPR,the time-based spatial clustering is carried out to divide the systems into sub-spatio-temporal parts whose interior has similar variation patterns,where the temporal information is used as the prior information for training the spatial-surrogate model.The DGPR is robust and especially suitable for the loosely coupled model structure,also allowing for parallel computation.The numerical results of the test function show the effectiveness of DGPR.Furthermore,the shock tube problem is successfully approximated under different phenomenon complexity.展开更多
In order to solve the problem of path planning of tower cranes,an improved ant colony algorithm was proposed.Firstly,the tower crane was simplified into a three-degree-of-freedom mechanical arm,and the D-H motion mode...In order to solve the problem of path planning of tower cranes,an improved ant colony algorithm was proposed.Firstly,the tower crane was simplified into a three-degree-of-freedom mechanical arm,and the D-H motion model was established to solve the forward and inverse kinematic equations.Secondly,the traditional ant colony algorithm was improved.The heuristic function was improved by introducing the distance between the optional nodes and the target point into the function.Then the transition probability was improved by introducing the security factor of surrounding points into the transition probability.In addition,the local path chunking strategy was used to optimize the local multi-inflection path and reduce the local redundant inflection points.Finally,according to the position of the hook,the kinematic inversion of the tower crane was carried out,and the variables of each joint were obtained.More specifically,compared with the traditional ant colony algorithm,the simulation results showed that improved ant colony algorithm converged faster,shortened the optimal path length,and optimized the path quality in the simple and complex environment.展开更多
In view of the serious reactive power loss in the rural network, improved ant colony optimization algorithm （ACOA） was used to optimize the reactive power compensation for the rural distribution system. In this stud...In view of the serious reactive power loss in the rural network, improved ant colony optimization algorithm （ACOA） was used to optimize the reactive power compensation for the rural distribution system. In this study, the traditional ACOA was improved in two aspects： one was the local search strategy, and the other was pheromone mutation and re-initialization strategies. The reactive power optimization for a county＇s distribution network showed that the improved ACOA was practicable.展开更多
The scholarly outputs from China's mainland have surged at an unprecedented speed in the past three decades,1 causing not only the reshaping of the publication landscape but also concern regarding China’s buildin...The scholarly outputs from China's mainland have surged at an unprecedented speed in the past three decades,1 causing not only the reshaping of the publication landscape but also concern regarding China’s building of its own publishing realm,2 especially under the current situation where the open access(OA)movement has reached the critical half-way point.This editorial/commentary aims to suggest a global-local strategy for OA to facilitate the eastward(or southward)adjustment of scientific,technical,and medical(STM)publications,observe integrity for both researchers and OA journals,and transform STM publications by making OA affordable for the Global South.The global-local strategy refers to a more geographically balanced strategy that concerns not only global scientific excellence but also the diversity of the local culture.The STM publication network should have a T-shaped architecture composed of global platforms and local hubs so as to be recognized and trusted by researchers everywhere in the world.展开更多
The normalization of LST relative to environmental parameters is of great importance in various environmental applications. The purpose of this study was to develop a new approach for LST normalization relative to env...The normalization of LST relative to environmental parameters is of great importance in various environmental applications. The purpose of this study was to develop a new approach for LST normalization relative to environmental variables. These included topographic variables (i.e. solar irradiance and near-surface temperature lapse rate (NSTLR)) as well as biophysical properties (i.e. vegetation,wetness,and albedo). The study was conducted in two phases,namely (1) using global and (2) local optimization strategies to calculate the regression coefficients of environmental variables in the partial least squares regression (PLSR) and build the non-linear linking model in the random forest regression (RFR). The RMSEs between actual LST and modeled LST based on the global and local optimization strategies using PLSR (RFR) were 2.202 (0.935) and 0.939 (0.835) °C,respectively. The results showed that RFR had higher efficiency than PLSR in normalizing LST. Moreover,the local optimization method outperformed the global optimization method in terms of normalization accuracy. The results of this study could be very useful in many environmental applications such as identifying thermal anomalies,and surface anthropogenic heat island modeling.展开更多
This paper explores the localization strategies employed by global luxury brands on Chinese social media platforms.As China becomes the largest luxury market in the world,brands such as Gucci,Louis Vuitton,and Burberr...This paper explores the localization strategies employed by global luxury brands on Chinese social media platforms.As China becomes the largest luxury market in the world,brands such as Gucci,Louis Vuitton,and Burberry have adapted their marketing strategies to better resonate with Chinese consumers'cultural preferences and digital behaviors.Platforms like WeChat,Douyin,and Weibo have become essential for brands to connect with local audiences through personalized content,collaborations with Key Opinion Leaders(KOLs),and culturally tailored campaigns.Through case studies,this research highlights how these brands successfully integrate global prestige with localized digital strategies to enhance brand awareness,foster consumer loyalty,and drive sales in China.Additionally,the study examines the influence of cultural factors,such as collectivism and the importance of social status,on Chinese consumers’attitudes towards luxury goods.These insights shed light on the evolving landscape of luxury brand marketing in China’s dynamic digital ecosystem and offer perspectives on future trends.展开更多
The global cruise industry has exhibited heterogeneous recovery patterns across regional markets in the post-pandemic era.China's market presents a particularly compelling case study due to its unique combination ...The global cruise industry has exhibited heterogeneous recovery patterns across regional markets in the post-pandemic era.China's market presents a particularly compelling case study due to its unique combination of rapid domestic demand recovery and slower return of international operations.展开更多
To achieve a fully automatic registration between HJ-1 CCD images and HJ-1 infrared images is a difficult task as it must deal with the varying illuminations and resolutions of the images,different perspectives,and th...To achieve a fully automatic registration between HJ-1 CCD images and HJ-1 infrared images is a difficult task as it must deal with the varying illuminations and resolutions of the images,different perspectives,and the local deformations within the images.In this paper,aimed at those registration issues,a fully automatic registration approach based on contour and SIFT is proposed.The registration technique performs a pre-registration process using contour feature matching algorithm that decides the overlapping region between a reference image and an input image.Once the coarse regions are obtained,it performs a fine registration process based on SIFT detector and a local adaptive matching strategy.In the fine registration process,image blocking theory is used,which not only speeds up the features extraction and matching,but also makes the matching point pairs distributed uniformly in images,and further improves the accuracy of input image rectification.Experiments with visible images and infrared images from HJ-1A/B demonstrate the efficiency and the accuracy of the proposed technique for multisource remote sensing images registration.展开更多
Several research efforts have focused primarily on policy implementation and improving innovative actions to address disaster risks. Discussions are ongoing on how to measure the effectiveness of policy implementation...Several research efforts have focused primarily on policy implementation and improving innovative actions to address disaster risks. Discussions are ongoing on how to measure the effectiveness of policy implementation at the local level. But there is no definitive theory of effective policy implementation, and very few frameworks have been found acceptable as the basis of an analysis of the effectiveness of policy implementation, especially on droughts. Based on the 2009–2010 extreme drought in Yunnan, China, this article presents a modified framework to assess the effectiveness of policy implementation by defining policy, practice, and performance, as well as a feedback loop by which to share the lessons learned. Water conservancy projects in Luliang County and the agricultural diversity program in Longyang County in Yunnan Province were analyzed from a farmers' perspective. It was found that farmers are highly dependent on government policies and projects, and the effectiveness of policies is measured by short-term, immediate, and tangible benefits rather than long-term adaptation strategies. The results highlight the urgent need to reduce risks by developing better awareness about climate change and drought and its impacts, increased understanding of drought hazards, and implementation of appropriate measures for long-term adaptation.展开更多
Agricultural production by smallholders is crucial for ensuring food provision in China.However,smallholders face a series of challenges on their farms including high-to-excess resource inputs,low use efficiency,as we...Agricultural production by smallholders is crucial for ensuring food provision in China.However,smallholders face a series of challenges on their farms including high-to-excess resource inputs,low use efficiency,as well as negative environmental impacts,which may be unfavorable for sustainable agriculture production.This study developed a county-level sustainability assessment of maize production in Hebei,China,by applying multiple data sources in combination with emergy,carbon footprint,nitrogen footprint and costbenefit analyses.Scenario analysis was applied to explore the localized implementation strategies to achieve the sustainable farming system.The results show that the average emergy sustainability index(ESI)of maize at 2.31 is relatively low.The average greenhouse gas(GHG)emissions and reactive nitrogen(Nr)losses are 0.15 g·kcal^(−1) CO_(2)-eq and 3.75 mg·kcal^(−1) N,respectively.The average cost and net income are 12,700 and 4340 CNY·ha^(−1),respectively.These results indicate a great potential to improve the environmental-economic sustainability of the maize production system of smallholders.In addition,the environmental and economic indicators calculated from the maize production show a substantial spatial heterogeneity among counties,indicating a requirement for different optimization strategies to improve the environment-economy sustainability at a finer scale.Based on the multiple scenario analysis,optimal strategies targeting each county are proposed.By adopting the optimal strategies,the average ESI and net income could increase by 32%and 83%,respectively,and the average GHG emissions and Nr losses reduce by 33%and 35%,respectively.These findings provide an important reference for adopting different strategies to achieve environmenteconomy sustainability for smallholders production systems with diverse landscapes in North China and propose a transition pathway toward achieving agriculture sustainability for smallholders worldwide.展开更多
During the scenarios of cooperative tasks performed by a single truck and multiple drones,the route plan is prone to failure due to the unpredictable scenario change.In this situation,it is significant to replan the r...During the scenarios of cooperative tasks performed by a single truck and multiple drones,the route plan is prone to failure due to the unpredictable scenario change.In this situation,it is significant to replan the rendezvous route of the truck and drones as soon as possible,to ensure that all drones in flight can return to the truck before running out of energy.This paper addresses the problem of rendezvous route planning of truck and multi-drone.Due to the available time window constraints of drones,which limit not only the rendezvous time of the truck and drones but also the available period of each drone,there are obvious local optimum phenomena in the investigated problem,so it is difficult to find a feasible solution.A two-echelon heuristic algorithm is proposed.In the algorithm,the strategy jumping out of the local optimum and the heuristic generating the initial solution are introduced,to improve the probability and speed of obtaining a feasible solution for the rendezvous route.Simulation results show that the feasible solution of the truck-drones rendezvous route can be obtained with 88%probability in an average of 77 iterations for the scenario involving up to 25 drones.The influence of algorithm options on planning results is also analyzed.展开更多
基金funded by 2022 Chinese Fund for the Humanities and Social Science(22WZSB029)2023“Training and Development Program for Young Teachers in Shanghai Universities”of the Shanghai Municipal Education Commission:An Exploration of Ideological and Political Education in Multimodal Translation Courses during the Transition PeriodFudan University’s First Series of“Seven Premium Textbook Projects”:Embodied-Cognitive Interpreting Studies.
文摘The international dissemination of culture is an inevitable trajectory of national development and a direct reflection of soft power enhancement.As a core sector of the digital cultural industry,the global expansion of Chinese games has become both a symbolic vehicle of China’s“going global”strategy and an important medium for cultural communication.The rapid rise of China’s online gaming industry demonstrates the growing strength of national soft power.In recent years,Chinese games have achieved notable success in overseas markets,marked by broader global presence,continuous technological innovation,and deeper industrial collaboration.With strong policy support,the industry has advanced from its initial emergence to a stage where quantitative growth is increasingly accompanied by qualitative improvement.This transformation not only elevates the industry to a new developmental phase but also positions Chinese games as a vital conduit for cross-cultural exchange and international engagement.
基金co-supported by the National Natural Science Foundation of China(No.12101608)the NSAF(No.U2230208)the Hunan Provincial Innovation Foundation for Postgraduate,China(No.CX20220034).
文摘This paper introduces techniques in Gaussian process regression model for spatiotemporal data collected from complex systems.This study focuses on extracting local structures and then constructing surrogate models based on Gaussian process assumptions.The proposed Dynamic Gaussian Process Regression(DGPR)consists of a sequence of local surrogate models related to each other.In DGPR,the time-based spatial clustering is carried out to divide the systems into sub-spatio-temporal parts whose interior has similar variation patterns,where the temporal information is used as the prior information for training the spatial-surrogate model.The DGPR is robust and especially suitable for the loosely coupled model structure,also allowing for parallel computation.The numerical results of the test function show the effectiveness of DGPR.Furthermore,the shock tube problem is successfully approximated under different phenomenon complexity.
基金supported by Shaanxi Provincial Key Research and Development Program of China(Nos.2024GX-YBXM-305,2024GX-YBXM-178)Shaanxi Province Qinchuangyuan“Scientists+Engineers”Team Construction(No.2022KXJ032)。
文摘In order to solve the problem of path planning of tower cranes,an improved ant colony algorithm was proposed.Firstly,the tower crane was simplified into a three-degree-of-freedom mechanical arm,and the D-H motion model was established to solve the forward and inverse kinematic equations.Secondly,the traditional ant colony algorithm was improved.The heuristic function was improved by introducing the distance between the optional nodes and the target point into the function.Then the transition probability was improved by introducing the security factor of surrounding points into the transition probability.In addition,the local path chunking strategy was used to optimize the local multi-inflection path and reduce the local redundant inflection points.Finally,according to the position of the hook,the kinematic inversion of the tower crane was carried out,and the variables of each joint were obtained.More specifically,compared with the traditional ant colony algorithm,the simulation results showed that improved ant colony algorithm converged faster,shortened the optimal path length,and optimized the path quality in the simple and complex environment.
基金Supported by China Postdoctoral Science Foundation(20090460873)
文摘In view of the serious reactive power loss in the rural network, improved ant colony optimization algorithm （ACOA） was used to optimize the reactive power compensation for the rural distribution system. In this study, the traditional ACOA was improved in two aspects： one was the local search strategy, and the other was pheromone mutation and re-initialization strategies. The reactive power optimization for a county＇s distribution network showed that the improved ACOA was practicable.
基金supported by the Chinese Academy of Sciences(CASgrant number 2022-X01-B-008)+3 种基金the National Natural Science Foundation of China(NSFCgrant number L2124038)the China Association for Science and Technology(CASTgrant number 2022-KYY-525116-0008).
文摘The scholarly outputs from China's mainland have surged at an unprecedented speed in the past three decades,1 causing not only the reshaping of the publication landscape but also concern regarding China’s building of its own publishing realm,2 especially under the current situation where the open access(OA)movement has reached the critical half-way point.This editorial/commentary aims to suggest a global-local strategy for OA to facilitate the eastward(or southward)adjustment of scientific,technical,and medical(STM)publications,observe integrity for both researchers and OA journals,and transform STM publications by making OA affordable for the Global South.The global-local strategy refers to a more geographically balanced strategy that concerns not only global scientific excellence but also the diversity of the local culture.The STM publication network should have a T-shaped architecture composed of global platforms and local hubs so as to be recognized and trusted by researchers everywhere in the world.
文摘The normalization of LST relative to environmental parameters is of great importance in various environmental applications. The purpose of this study was to develop a new approach for LST normalization relative to environmental variables. These included topographic variables (i.e. solar irradiance and near-surface temperature lapse rate (NSTLR)) as well as biophysical properties (i.e. vegetation,wetness,and albedo). The study was conducted in two phases,namely (1) using global and (2) local optimization strategies to calculate the regression coefficients of environmental variables in the partial least squares regression (PLSR) and build the non-linear linking model in the random forest regression (RFR). The RMSEs between actual LST and modeled LST based on the global and local optimization strategies using PLSR (RFR) were 2.202 (0.935) and 0.939 (0.835) °C,respectively. The results showed that RFR had higher efficiency than PLSR in normalizing LST. Moreover,the local optimization method outperformed the global optimization method in terms of normalization accuracy. The results of this study could be very useful in many environmental applications such as identifying thermal anomalies,and surface anthropogenic heat island modeling.
文摘This paper explores the localization strategies employed by global luxury brands on Chinese social media platforms.As China becomes the largest luxury market in the world,brands such as Gucci,Louis Vuitton,and Burberry have adapted their marketing strategies to better resonate with Chinese consumers'cultural preferences and digital behaviors.Platforms like WeChat,Douyin,and Weibo have become essential for brands to connect with local audiences through personalized content,collaborations with Key Opinion Leaders(KOLs),and culturally tailored campaigns.Through case studies,this research highlights how these brands successfully integrate global prestige with localized digital strategies to enhance brand awareness,foster consumer loyalty,and drive sales in China.Additionally,the study examines the influence of cultural factors,such as collectivism and the importance of social status,on Chinese consumers’attitudes towards luxury goods.These insights shed light on the evolving landscape of luxury brand marketing in China’s dynamic digital ecosystem and offer perspectives on future trends.
文摘The global cruise industry has exhibited heterogeneous recovery patterns across regional markets in the post-pandemic era.China's market presents a particularly compelling case study due to its unique combination of rapid domestic demand recovery and slower return of international operations.
基金supported by National Basic Research Program of China(Grant No. 2007CB714404)
文摘To achieve a fully automatic registration between HJ-1 CCD images and HJ-1 infrared images is a difficult task as it must deal with the varying illuminations and resolutions of the images,different perspectives,and the local deformations within the images.In this paper,aimed at those registration issues,a fully automatic registration approach based on contour and SIFT is proposed.The registration technique performs a pre-registration process using contour feature matching algorithm that decides the overlapping region between a reference image and an input image.Once the coarse regions are obtained,it performs a fine registration process based on SIFT detector and a local adaptive matching strategy.In the fine registration process,image blocking theory is used,which not only speeds up the features extraction and matching,but also makes the matching point pairs distributed uniformly in images,and further improves the accuracy of input image rectification.Experiments with visible images and infrared images from HJ-1A/B demonstrate the efficiency and the accuracy of the proposed technique for multisource remote sensing images registration.
基金supported by the University of Chinese Academy of Sciences(UCAS)/Kunming Institute of Botany(KIB)the Himalayan Climate Change Adaptation Programme(HICAP) funded by the governments of Norway and Sweden+2 种基金core funds of the International Centre for Integrated MountainDevelopment(ICIMOD)supported the Summer Institute for Disaster and Risk Research implemented by Beijing Normal University (BNU)funded by the State Administration of Foreign Experts Affairs, Ministry of Education, and BNU
文摘Several research efforts have focused primarily on policy implementation and improving innovative actions to address disaster risks. Discussions are ongoing on how to measure the effectiveness of policy implementation at the local level. But there is no definitive theory of effective policy implementation, and very few frameworks have been found acceptable as the basis of an analysis of the effectiveness of policy implementation, especially on droughts. Based on the 2009–2010 extreme drought in Yunnan, China, this article presents a modified framework to assess the effectiveness of policy implementation by defining policy, practice, and performance, as well as a feedback loop by which to share the lessons learned. Water conservancy projects in Luliang County and the agricultural diversity program in Longyang County in Yunnan Province were analyzed from a farmers' perspective. It was found that farmers are highly dependent on government policies and projects, and the effectiveness of policies is measured by short-term, immediate, and tangible benefits rather than long-term adaptation strategies. The results highlight the urgent need to reduce risks by developing better awareness about climate change and drought and its impacts, increased understanding of drought hazards, and implementation of appropriate measures for long-term adaptation.
基金funded by State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex(SCAPC202102)the National Natural Science Foundation of China(71904189).
文摘Agricultural production by smallholders is crucial for ensuring food provision in China.However,smallholders face a series of challenges on their farms including high-to-excess resource inputs,low use efficiency,as well as negative environmental impacts,which may be unfavorable for sustainable agriculture production.This study developed a county-level sustainability assessment of maize production in Hebei,China,by applying multiple data sources in combination with emergy,carbon footprint,nitrogen footprint and costbenefit analyses.Scenario analysis was applied to explore the localized implementation strategies to achieve the sustainable farming system.The results show that the average emergy sustainability index(ESI)of maize at 2.31 is relatively low.The average greenhouse gas(GHG)emissions and reactive nitrogen(Nr)losses are 0.15 g·kcal^(−1) CO_(2)-eq and 3.75 mg·kcal^(−1) N,respectively.The average cost and net income are 12,700 and 4340 CNY·ha^(−1),respectively.These results indicate a great potential to improve the environmental-economic sustainability of the maize production system of smallholders.In addition,the environmental and economic indicators calculated from the maize production show a substantial spatial heterogeneity among counties,indicating a requirement for different optimization strategies to improve the environment-economy sustainability at a finer scale.Based on the multiple scenario analysis,optimal strategies targeting each county are proposed.By adopting the optimal strategies,the average ESI and net income could increase by 32%and 83%,respectively,and the average GHG emissions and Nr losses reduce by 33%and 35%,respectively.These findings provide an important reference for adopting different strategies to achieve environmenteconomy sustainability for smallholders production systems with diverse landscapes in North China and propose a transition pathway toward achieving agriculture sustainability for smallholders worldwide.
基金supported by Guangdong Basic and Applied Basic Research Foundation(Grant No.2022A1515011313)in part by Guangdong Innovative and Entrepreneurial Research Team Program(Grant No.2019ZT08Z780)in part by Dongguan Introduction Program of Leading Innovative and Entrepreneurial Talents。
文摘During the scenarios of cooperative tasks performed by a single truck and multiple drones,the route plan is prone to failure due to the unpredictable scenario change.In this situation,it is significant to replan the rendezvous route of the truck and drones as soon as possible,to ensure that all drones in flight can return to the truck before running out of energy.This paper addresses the problem of rendezvous route planning of truck and multi-drone.Due to the available time window constraints of drones,which limit not only the rendezvous time of the truck and drones but also the available period of each drone,there are obvious local optimum phenomena in the investigated problem,so it is difficult to find a feasible solution.A two-echelon heuristic algorithm is proposed.In the algorithm,the strategy jumping out of the local optimum and the heuristic generating the initial solution are introduced,to improve the probability and speed of obtaining a feasible solution for the rendezvous route.Simulation results show that the feasible solution of the truck-drones rendezvous route can be obtained with 88%probability in an average of 77 iterations for the scenario involving up to 25 drones.The influence of algorithm options on planning results is also analyzed.
