Intravascular Ultrasound Image Hard Plaque Recognition and Media-adventitia Border Detection

Intravascular ultrasound (IVUS) is a new technology for the diagnosis of coronary artery disease, and for the support of coronary intervention. IVUS image segmentation often encounters difficulties when plaque and acoustic shadow are present A novel approach for hard plaque recognition and media-adventitia border detection of IVUS images is presented in this paper. The IVUS images were first enhanced by a spatial-frequency domain filter that was constructed by the directional filter and histogram equalization. Then, the hard plaque was recognized based on the intensity variation within different regions that were obtained using the k-means algorithm. In the next step, a cost matrix representing the probability of the media-adventitia border was generated by combining image gradient, plaque location and image intensity. A heuristic graph-searching was applied to find the media-adventitia border from the cost matrix.Experiment results showed that the accuracy of hard plaque recognition and media-adventitia border detection was 89.94% and 95.57%, respectively. In conclusion,using hard plaques recognition could improve media-adventitia border detection in IVUS images.

Border Sensitive Knowledge Distillation for Rice Panicle Detection in UAV Images

Research on panicle detection is one of the most important aspects of paddy phenotypic analysis.A phenotyping method that uses unmanned aerial vehicles can be an excellent alternative to field-based methods.Nevertheless,it entails many other challenges,including different illuminations,panicle sizes,shape distortions,partial occlusions,and complex backgrounds.Object detection algorithms are directly affected by these factors.This work proposes a model for detecting panicles called Border Sensitive Knowledge Distillation(BSKD).It is designed to prioritize the preservation of knowledge in border areas through the use of feature distillation.Our feature-based knowledge distillation method allows us to compress the model without sacrificing its effectiveness.An imitation mask is used to distinguish panicle-related foreground features from irrelevant background features.A significant improvement in Unmanned Aerial Vehicle(UAV)images is achieved when students imitate the teacher’s features.On the UAV rice imagery dataset,the proposed BSKD model shows superior performance with 76.3%mAP,88.3%precision,90.1%recall and 92.6%F1 score.

Application and Adaptability of Ornamental Grasses in Road Flower Borders in Hefei, Anhui Province

In-depth research was conducted on the types,seasonal patterns,spatial levels,overwintering,summering,drought resistance,and disease and pest resistance of ornamental grasses in the road flower borders of Hefei,Anhui Province.Through field investigations,a total of 36 ornamental grasses were identified,with Liliaceae having the most species and the Lamiaceae the least.The results show that there are more warm season ornamental grasses,of 23 species;Acorus gramineus and Melinis minutiflora have poor overwintering ability;Arrhenatherum elatius,Festuca glauca,and Stipa tenuissima have poor summer tolerance;most ornamental grasses have strong drought resistance and resistance to pests and diseases.The comprehensive investigation shows that ornamental grasses have good application prospects and adaptability in the road flower borders in Hefei city.

AHP-based Landscape Value Evaluation of Perennial Flower Border Application in Hefei City

An analytic hierarchy process(AHP)was employed to establish a landscape value evaluation model for 20 common species of perennial flowers in the flower border of Hefei City.With the overarching objective of determining the application value of the flower border,10 evaluation factors were identified and subsequently classified into 3 distinct grades.Grade I(L>2.5)was defined as perennial flower resources with the highest development and utilization value,including only one species of Salvia farinacea.Grade II(2.0≤L≤2.5)was defined as perennial flower varieties suitable for most areas,encompassing 9 species of plants,such asTaraxacummongolicum.Grade III(L<2.0)was defined as perennial flower varieties with low application value,encompassing 10 species of plants,such asRuellia brittoniana,but lacking the value of further popularization and application.Consequently,the proportion of their application in the flower border should be reduced.The evaluation results can serve as a theoretical foundation for the implementation of perennial flowers in urban flower borders.

Cross-border E-commerce Accelerates Diversely Abroad

“Strength”and“vitality”are the comments that people in the industry have used to describe China’s cross-border e-commerce in 2023,which has been proven by the latest statistics.According to the General Administration of Customs,in 2023,the total volume of imports and exports was RMB 2.38 trillion,up by 15.6%.The volume of exports was RMB 1.83 billion,up by 19.6%,and the volume of imports was RMB 548.3 billion,up by 3.9%.

Enhancement of Competitiveness of Border Trade Entrepreneurs: Case Study of Su-Ngai Kolok Checkpoint, Narathiwat Province

This research aimed to analyze the enhancement of competitiveness among fruit and vegetable export entrepreneurs,with the case study of the Su-ngai Kolok checkpoint in Narathiwat Province.This research focused on three objectives:(1)examining how competitiveness is enhanced through government support and the development of border trade zones,(2)studying the supply chain dynamics,including strategic factors and opportunities in agricultural product management,and(3)developing a model for border trade to strengthen exporters’capabilities.The research employed qualitative methods,with data collected from 25 informants through interviews and employed descriptive methods.The research results revealed that:(1)government agencies play a crucial role in improving competitiveness by developing border economic zones and trade policies;additionally,(2)the research highlighted the importance of strategic partnerships,network building,and efficient logistics along the value chain;(3)the proposed Border Trade Model includes elements for instance government policy,partnerships,entrepreneurial potential,and transportation channels,aiming to enhance the overall efficiency and effectiveness of vegetable and fruit exporters in the region.

Application of Flower Borders in Hefei City

The application value of 70 kinds of flowers in Hefei City was evaluated by analytic hierarchy process(AHP).From the three aspects of adaptability,ornamental value and economic traits,12 indicators were summarized to establish a comprehensive evaluation system.The results show that the application of grade-I plants(J≥3.6642)in flower borders is the most suitable,and they include 19 species of plants such as Osmanthus fragrans var.thunbergii,accounting for 27.14%.The application of grade-II plants(3.2319≤J≤3.6641)in flower borders is suitable,and 36 species of plants such as Jacobaea maritima are included,with the proportion of 51.42%.The application of grade-III plants(2.7935≤J≤3.2318)in flower borders is relatively suitable,and they contain 8 species of plants such as Acer palmatum’Atropurpureum’(Van Houtte)Schwerim,accounting for 11.42%.Grade-IV plants(J≤2.7934)can be applied in flower borders under special circumstances,and include 6 species of plants such as Muehlenbeckia complexa Meisn.,accounting for 8.57%.The results can provide reference for the selection of flower border plants in Hefei.The locations and types of 40 flower borders were summarized to provide a basis for the development direction and future planning of flower borders in Hefei.

Research on the Employment View of Acupuncture and Tuina Undergraduates in Minority Border Areas from Students’ Perspective

With the popularization of higher education in China,the employment situation of college students is more complex and severe.This paper adopts the questionnaire method to explore the employment view of acupuncture and tuina undergraduates of Yunnan University of Traditional Chinese Medicine.The employment concept of acupuncture and tuina undergraduates in the minority border areas has changed greatly.After graduation,97.95%of students choose to work in fields related to medicine and acupuncture,prefer positions close to home,and are attracted to high-salary companies,among other factors.Therefore,enhancing the competitive advantages of medical students by guiding their career planning,providing employment selection advice,fostering innovation and entrepreneurship,improving basic skills,and offering graduate entrance examination guidance is crucial for broadening their employment opportunities.

Border effects of the main and ratoon crops in the rice ratooning system

The border effect(BE)is widely observed in crop field experiments,and it has been extensively studied in many crops.However,only limited attention has been paid to the BE of ratoon rice.We conducted field experiments on ratoon rice in Qichun County,Hubei Province,Central China in 2018 and 2019 to compare the BE in the main and ratoon crops,and to quantify the contribution of BE in the main crop to that in the ratoon crop.The BE of two hybrid varieties was measured for the outermost,second outermost,and third outermost rows in each plot of both crops.To determine the contribution of BE between the two crops,portions of hills in the outermost and second outermost rows were uprooted during the harvest of the main crop so that the second and third outermost rows then became the outermost rows in the ratoon crop.Overall,the BE on grain yield was greater in the main crop than in the ratoon crop.In the main crop,the BE on grain yield was 98.3%in the outermost row,which was explained by the BE on panicles m^(–2),spikelets/panicle,spikelets m^(–2),and total dry weight.In the ratoon crop,the BE on grain yield was reduced to 60.9 and 27.6%with and without the contribution of the BE in the main crop,respectively.Consequently,55.1%of the BE on grain yield in the ratoon crop was contributed from the main crop.High stubble dry weight and non-structural carbohydrate(NSC)accumulation at the harvest of the main crop were responsible for the contribution of BE in the main crop to that in the ratoon crop.Our results suggest that increases in stubble dry weight and NSC accumulation at the harvest of the main crop could be important strategies for developing high-yielding cropping practices in the rice ratooning system.

Cross-border E-commerce Remains A Strong Engine of China’s Foreign Trade

The foreign trade industry in China had a good start in general this year,thanks to the rapid growth in cross-border e-commerce.The 2022 China Cross Border E-Commerce Market Data Report was released at the cross-border e-commerce roundtable meeting held on March 30th this year,indicating that cross-border e-commerce made a contribution of 37.32%to China’s total import and export trade value in goods(RMB 42.07 trillion)in 2022.

The Establishment of International Rules for Cross-Border Data Flow under Major Country Competition

As major country competi­tion is becoming ever more intense,data has become a key strategic resource,making rules of cross-border data flow go­ing beyond the business scope in a traditional sense and becoming a strategic issue concerning national development and security.Relevant parties compete against each other in three major areas of the collec­tion of cross-border law enforcement data,cross-border flow of corporate data.

A multi-UAV deployment method for border patrolling based on Stackelberg game

To strengthen border patrol measures, unmanned aerial vehicles(UAVs) are gradually used in many countries to detect illegal entries on borders. However, how to efficiently deploy limited UAVs to patrol on borders of large areas remains challenging. In this paper, we first model the problem of deploying UAVs for border patrol as a Stackelberg game. Two players are considered in this game: The border patrol agency is the leader,who optimizes the patrol path of UAVs to detect the illegal immigrant. The illegal immigrant is the follower, who selects a certain area of the border to pass through at a certain time after observing the leader’s strategy. Second, a compact linear programming problem is proposed to tackle the exponential growth of the number of leader’s strategies. Third, a method is proposed to reduce the size of the strategy space of the follower. Then, we provide some theoretic results to present the effect of parameters of the model on leader’s utilities. Experimental results demonstrate the positive effect of limited starting and ending areas of UAV’s patrolling conditions and multiple patrolling altitudes on the leader ’s utility, and show that the proposed solution outperforms two conventional patrol strategies and has strong robustness.

Progress of Central Bank Digital Currency in Cross-border Payments and the Application Prospect in the Oil and Gas Field

The rapid development of the digital economy and profound changes in currency functions have driven the emergence of a large number of digital currencies.In order to improve the competitiveness and efficiency of payment systems,governments all over the world have accelerated the research and development of central bank digital currency(CBDC).After years of preparation and research and development,Digital renminbi has also entered the pilot application stage.Given the many shortcomings of the current cross-border payment system,CBDC cross-border payment has become an important development direction.At present,some central banks are collaborating on CBDC cross-border payment research and initiating experimental plans to explore CBDC cross-border payment arrangements.With the expansion of the acceptance range of Digital renminbi and the improvement of the international use level of CNY,oil and gas enterprises will have broad prospects in the cross-border payment field in the future.This paper suggests that oil and gas enterprises,in accordance with the principle of"from easy to difficult,step by step",give priority to the introduction of Digital renminbi from regions and fields where RMB or local currency settlement has been achieved,and combine Digital renminbi with imported oil and gas to explore the use of Digital renminbi in cross-border payment.

RETURNING CROSS-BORDER LOGISTICS TO NORMAL The reopening of Ruili,a city on the border of China and Myanmar,signals that cross-border trade between the two countries is poised to recover

After closing for 1,012 days due to the COVID-19 pandemic,the Jiegao border gate in Ruili City,south China’s Yunnan Province,reopened on January 8,2023.On January 14,traffic between Ruili and Muse in Myanmar resumed at the Ruili-Kyalgaung border crossing and the Sino-Myanmar Friendship Street crossing.Still,the Border Gate crossing remains closed.

Strategies for Promoting Ethnic Unity through Hubei Border Tea

Based on a questionnaire survey and on-site research on the overview of the border tea industry,the importance of the development of border tea for ethnic unity work is analyzed,and improvement suggestions and implementation strategies are proposed.

中国式现代化视域下边疆经济高质量发展:评估体系构建及实证分析

边疆经济的高质量发展是中国式现代化道路在边疆地区的生动实践,具有重要的理论和现实意义。在理论层面,从中国式现代化视角出发,立足新发展理念,尝试提出边疆经济高质量发展的内涵特征及理论模型,并构建了评价指标体系;在实证层面,通过采用熵权优劣解距离法对中国37个边疆地级市(州、盟)2021年的数据进行测度,同时使用变异系数、地理集中度指数等统计指标探究区域差异,从而揭示边疆地区在中国式现代化视域下的发展情况并提出相应的提升策略。

跨境电商改革与出口企业数字技术创新——基于跨境电子商务综合试验区的准自然实验

跨境电子商务综合试验区建设是我国积极推进制度型开放的重要举措,税费优惠和管理服务完善等跨境电商改革不仅能够激励外贸增长,还会对出口企业产生成本降低效应、人力资本提升效应和内部治理优化效应等积极影响,从而促进出口企业的数字技术创新。将跨境电子商务综合试验区建设作为一项准自然实验,采用沪深A股出口企业2007—2020年的数据,运用多期双重差分模型分析发现:跨境电子商务综合试验区建设(跨境电商改革)显著促进了试验区出口企业的数字技术发明专利增长,跨境电商改革可以通过降低融资成本和经营成本、提高技术人员占比和高学历人才占比、提升公司治理水平和内部控制质量等路径促进出口企业的数字技术创新,跨境电商改革对融资约束程度较高、地区人力资源丰富、ESG表现较差、环境不确定性较强的出口企业具有更为显著的数字技术创新促进作用。应持续推进和不断深化跨境电商改革,并充分发挥制度型开放对企业创新发展的激励作用。

跨界颠覆性创新的早期识别方法及实证检验

[研究目的]数字经济时代,越来越多的企业利用互联网技术开展跨界颠覆性创新。探讨跨界颠覆性创新的早期判断和识别方法,对于打破国外核心技术封锁,抢占科技制高点具有重大意义。[研究方法]根据跨界颠覆性创新的演进特点,从技术和市场两个方面提出识别跨界颠覆性创新的理论框架:首先,基于专利文本,利用LDA主题模型提取跨界技术主题;其次,从成长性、融合性、影响力和引用行业外新知识等四个特征考察技术主题跨界颠覆的技术潜力;最后,基于专利、用户和专家评论数据,借助LDA主题模型与情感分析方法,从易扩散性、需求贴合度与市场吸引力趋势等特征考察技术主题跨界颠覆的市场潜力。[研究结论]以手机定位与导航技术为例,通过考察其跨界颠覆的技术潜力特征和市场潜力特征,验证了跨界颠覆性技术早期识别方法的可用性与有效性,为企业跨界颠覆性创新实践提供借鉴。

浙江省跨境电商与跨境物流协调评价分析

随着中国对外贸易健康发展,跨境电商在对外贸易当中脱颖而出,成为推动经济增长的重要部分。在国家坚持高水平对外开放、以国内大循环为主体,国内国际双循环的新发展格局的大背景下,作为跨境电商发展必不可少的环节,跨境物流发展迎来了挑战。通过对浙江省跨境电商与跨境物流协调水平进行实证分析,选取跨境电商和跨境物流的多个指标,采用熵值法构建权重体系,计算出跨境电商与跨境物流的两个系统综合得分,进一步构建耦合协调模型,得出了浙江省跨境电商与跨境物流呈现良好协调状态,为更好地提升二者的协调水平,提出对策建议。

多情景模拟下的跨境铁路运输时效研究——以中老铁路为例

跨境铁路运输是中国与周边国家陆路联通的重要环节。跨境铁路运输时效既受线路畅通情况、基础设施技术等级等“硬联通”因素的制约,也受到海关条例、口岸畅通水平等“软联通”因素的影响。因此,跨境铁路运输时效研究应充分考虑不同情景,以期更科学地模拟运输时长的变化机理。本文以中老铁路(中国昆明−老挝万象,简称中老铁路)为例,在梳理中老铁路沿线地区社会经济概况及基础设施发展水平的基础上,考虑不同运营速度、通关时间、铁轨换装、多式联运等因素,构建了长途跨境运输时间的计算模型,采用多情景模拟方法,解析了中老铁路运的优势距离及客货运时效变化。研究表明:①中老铁路有助于沿线跨境运输时间显著减少。相比公路运输,客货运时间优势均超过20%;②通关时间是影响跨境铁路运输的关键要素之一,占运输总时长的20%~60%;③铁海联运是中老铁路运输进一步提升运输效率的途径,能有效缩短老挝至日本的总运输时间。