Statistical Analysis of Students’Learning Effectiveness in Online Courses Offered by British Partners in China-UK Joint Education Program

In the context of internationalization,China-UK Joint Education Programs are receiving increasing attention from universities.Based on the difficulties faced in China-UK Joint Education Program,this paper adopts a questionnaire survey method to study the learning effectiveness of students majoring in digital media technology in the China-UK Joint Education Program at Guangxi University of Finance and Economics,focusing on four aspects:learning materials,learning content,teacher conditions,and student learning outcomes.The research analysis in this paper not only provides strong support for the construction of China-UK Joint Education Program but also offers references for other China-UK Joint Education Programs.

Is the Equity Transfer Agreement of a Chinese-Foreign Contractual Joint Venture Valid? A Case Comment on Xianyuan v.Zhongxin

Under Chinese law, when parties have signed an equity transfer agreement of the Chinese-Foreign contractual joint venture, they need to report to the examination and approval authority for approval. However, due to imperfection of and conflicts among laws and regulations as well as misunderstanding of the above system, it is always difficult for judges to determine the validity of such equity transfer agreement under the administrative approval system. Among the three categories of FIEs provided in Chinese law 1, scholars have had a comprehensive discussion over equity transfer agreement involving Sino-Foreign Equity Joint Venture Enterprises, but this case is concerned with the equity transfer agreement of a Chinese-Foreign contractual joint venture. In this case, the People's Supreme Court holds that the equity transfer agreement that has not undergone the approval procedures are not valid but not void. Furthermore, the parties that are bound to submit the agreement to the approval authority shall perform their duties of this kind.

Transcontinental Translational Medicine Collaboration: A Successful SinoCuban Joint B-to-B Program

Translational medicine is a comprehensive discipline that aims to convert laboratory research results into products and technology for clinical application using modern molecular biological techniques, to improve our understanding of the human body and disease and to optimize laboratory design for clinical observation and analysis for basic research. Its ultimate goal is improving holistic medicine and helping patients solve their health problems. Translational medicine includes two processes： bench to bedside and bedside to bench, known as B-to-B processes. The first B-to-B （bench to bedside） refers to the application of results of the laboratory to clinical use as a medical product or a diagnosis and treatment technology. The second B-to-B （bedside to bench） describes the process by which clinical observation and analysis provides ideas and guidance for experiment design for basic medical research. The two processes complement each other and constitute the two-way cycle of translational medicine. Translational medicine can be applied to clinical disease detection in the form of new biomarkers and can accelerate drug discovery. In recent years, with the biotechnology, increasing rapid development of outcomes of research on molecular pathogenesis can be directly applied to clinical theraDv.

How to set up a foreign-funded or Chinese-foreign joint venture financial institution in Shanghai

If you are representing a foreign-funded institution in setting up a foreign-funded bank or financial company in Shanghai, you should have a representative agency already established within the boundaries of China for more than two years, and general assets at the end of the previous year should not be less than US $ 10 billion. The country or region you are residing in should have

Application Procedures——for Establishing Chinese-foreign Joint(Co-operative)Ventures or Foreign-funded Enterprises in Sichuan Province

1. On Chinese-foreign joint (co-operative) ventures(1) The conclusion of the letter ofintent on joint investment (co-operation) bythe Chinese and foreign parties.(2) New construction projects shall besubmitted to the provincial PlanningCommission for ratification; technicalinnovation projects shall be submitted to theProvincial Economic Commission forratification.(3) The contracting parties shall register thename of the joint venture with the provincialAdministration for Industry and Commerce.

Joint Active and Passive Beamforming Design for Hybrid RIS-Aided Integrated Sensing and Communication

Integrated sensing and communication(ISAC) is considered an effective technique to solve spectrum congestion in the future. In this paper, we consider a hybrid reconfigurable intelligent surface(RIS)-assisted downlink ISAC system that simultaneously serves multiple single-antenna communication users and senses multiple targets. Hybrid RIS differs from fully passive RIS in that it is composed of both active and passive elements, with the active elements having the effect of amplifying the signal in addition to phase-shifting. We maximize the achievable sum rate of communication users by collaboratively improving the beamforming matrix at the dual function base station(DFBS) and the phase-shifting matrix of the hybrid RIS, subject to the transmit power constraint at the DFBS, the signal-to-interference-plus-noise-ratio(SINR) constraint of the radar echo signal and the RIS constraint are satisfied at the same time. The builtin RIS-assisted ISAC design problem model is significantly non-convex due to the fractional objective function of this optimization problem and the coupling of the optimization variables in the objective function and constraints. As a result, we provide an effective alternating optimization approach based on fractional programming(FP) with block coordinate descent(BCD)to solve the optimization variables. Results from simulations show that the hybrid RIS-assisted ISAC system outperforms the other benchmark solutions.

Progress of International Meridian Circle Program

In 2024,the Chinese Meridian Project(CMP)completed its construction,deploying 282 instruments across 31 stations.This achievement not only provides a robust foundation but also serves as a reference template for the International Meridian Circle Program(IMCP).The IMCP aims to integrate and establish a comprehensive network of ground-based monitoring stations designed to track the propagation of space weather events from the Sun to Earth.Additionally,it monitors various disturbances generated within the Earth system that impact geospace.Over the past two years,significant progress has been made on the IMCP.In particular,the second phase of construction for the China-Brazil Joint Laboratory for Space Weather has been completed,and the North Pole and Southeast Asia networks are under active construction.The 2024 IMCP joint observation campaign was successfully conducted.To facilitate these developments,the scientific program committee of IMCP was established,following the success of 2023 IMCP workshop and the space weather school,which was co-hosted with the Asia-Pacific Space Cooperation Organization(APSCO)and sponsored by Chinese Academy of Sciences(CAS)and Scientific Committee on Solar-Terrestrial Physics(SCOSTEP).Preparations are now underway for the 2024 workshop in collaboration with the National Institute for Space Research(INPE)in Brazil.

Joint Beamforming Design for Dual-Functional Radar-Communication Systems Under Beampattern Gain Constraints

The joint beamforming design challenge for dual-functional radar-communication systems is addressed in this paper.The base station in these systems is tasked with simultaneously sending shared signals for both multi-user communication and target sensing.The primary objective is to maximize the sum rate of multi-user communication,while also ensuring sufficient beampattern gain at particular angles that are of interest for sensing,all within the constraints of the transmit power budget.To tackle this complex non-convex problem,an effective algorithm that iteratively optimizes the joint beamformers is developed.This algorithm leverages the techniques of fractional programming and semidefinite relaxation to achieve its goals.The numerical results confirm the effectiveness of the proposed algorithm.

Joint Beamforming Optimization for Reconfigurable Intelligent Surface-Enabled MISO-OFDM Systems

In this paper,we investigate the reconfigurable intelligent surface(RIS)-enabled multiple-input-single-output orthogonal frequency division multiplexing(MISO-OFDM)system under frequency-selective channels,and propose a low-complexity alternating optimization(AO)based joint beamforming and RIS phase shifts optimization algorithm to maximize the achievable rate.First,with fixed RIS phase shifts,we devise the optimal closedform transmit beamforming vectors corresponding to different subcarriers.Then,with given active beamforming vectors,near-optimal RIS reflection coefficients can be determined efficiently leveraging fractional programming(FP)combined with manifold optimization(MO)or majorization-minimization(MM)framework.Additionally,we also propose a heuristic RIS phase shifts design approach based on the sum of subcarrier gain maximization(SSGM)criterion requiring lower complexity.Numerical results indicate that the proposed MO/MM algorithm can achieve almost the same rate as the upper bound achieved by the semidefinite relaxation(SDR)algorithm,and the proposed SSGM based scheme is only slightly inferior to the upper bound while has much lower complexity.These results demonstrate the effectiveness of the proposed algorithms.

Statistical Method for Block in Replication Design and Its SAS Program

Large-scale genetic population used for genetic breeding researches covers a large area in the field experiment,and the effect of local control would be gradually weakened.The block in replication(BIR)design is suitable for large population,which is applied to the field experiment of genetic population.The statistical methods of analysis of variance(ANOVA)and heritability estimation in single and multiple environments were derived and implemented using the statistical analysis system(SAS)program for the analysis of BIR.As a work example,a comparison of statistical analysis between BIR design and the completely random block(CRB)design were conducted for the protein content from a panel containing 455 soybean germplasms.The results indicated the different estimates of average heritability in multiple environments.The research results provided technical support for the application of BIR design in genetics and breeding studies.

Multi-gene genetic programming extension of AASHTO M-E for design oflow-volume concrete pavements

The American Association of State Highway and Transportation Officials Mechanistic-Empirical Pavement DesignGuide (AASHTO M-E) offers an opportunity to design more economical and sustainable high-volume rigid pavementscompared to conventional design guidelines. It is achieved through optimizing pavement structural andthickness design under specified climate and traffic conditions using advanced M-E principles, thereby minimizingeconomic costs and environmental impact. However, the implementation of AASHTO M-E design for low-volumeconcrete pavements using AASHTOWare Pavement ME Design (Pavement ME) software is often overly conservative.This is because Pavement ME specifies the minimum design thickness of concrete slab as 152.4 mm (6 in.). Thispaper introduces a novel extension of the AASHTO M-E framework for the design of low-volume joint plain concretepavements (JPCPs) without modification of Pavement ME. It utilizes multi-gene genetic programming (MGGP)-based computational models to obtain rapid solutions for JPCP damage accumulation and long-term performanceanalyses. The developed MGGP models simulate the fatigue damage and differential energy accumulations. Thispermits the prediction of transverse cracking and joint faulting for a wide range of design input parameters and axlespectrum. The developed MGGP-based models match Pavement ME-predicted cracking and faulting for rigidpavements with conventional concrete slab thicknesses and enable rational extrapolation of performance predictionfor thinner JPCPs. This paper demonstrates how the developed computational model enables sustainable lowvolumepavement design using optimized ME solutions for Pittsburgh, PA, conditions.

2023年度国家自然科学基金联合基金项目申请受理、评审与资助情况综述

联合基金作为国家自然科学基金的重要组成部分,在引导和整合社会资源投入基础研究方面发挥了重要作用。2023年国家自然科学基金委员会稳步推进新时期联合基金改革,会同各联合资助方圆满完成了联合基金项目申请受理、评审与资助工作。本文统计分析了2023年度国家自然科学基金联合基金项目申请、受理与资助数据,分别介绍了项目指南发布、项目申请及其特点、项目初审、评审与资助的情况,并对2024年度联合基金工作进行了展望。

在地国际化临床医学人才培养实施路径

党的十九届五中全会提出,要加快构建以国内大循环为主体、国内国际双循环相互促进的新发展格局。以国内大循环为主体双循环战略的提出,对新时代国际化复合型医学精英人才培养提出新要求。重庆医科大学以中外合作办学为契机,以培养具有国际视野的复合创新型临床医学精英人才为目标,以临床岗位胜任力为导向,以学生发展为中心,充分利用国际国内资源,通过培养体系、管理体制、教学资源、师资队伍、评价体系、多元文化等“六大融合”,构建以“一体两翼”课程体系、增强虚拟混合学习模式、数字化资源赋能为主要特征的在地国际化临床医学人才培养模式,开启“以我为主”的临床医学人才培养在地国际化高质量发展新格局,在国内自主培养具有家国情怀、国际视野的创新型未来卓越医学人才。

基于微观车流的拟人化换道决策规划

为提高无人驾驶车辆换道过程中的安全舒适性,在传统换道决策基础上引入换道对局部交通流的影响,并加入换道惯性因子。针对解耦式横纵向轨迹规划不足,提出联合横纵向约束规划;基于动态规划及二次规划算法,结合上一帧纵向规划约束当前时刻横向轨迹曲率;纵向规划过程中根据当前时刻横向规划结果筛选关键障碍物,并添加曲率限速约束,结合横纵向规划最终生成换道轨迹。实车验证结果表明,所述方法生成的横向、纵向换道轨迹能有效提升换道轨迹的合理性、稳定性和舒适性。

地质联合基金资助成效分析及未来展望

中国地质调查局与国家自然科学基金委员会于2022年联合设立实施地质联合基金,以地球科学部“三深一系统”的顶层战略规划为纲,涉及深地、深海和地球系统等领域的基础研究,以及服务找矿突破、地质灾害与生态环境等领域的应用基础研究。2022~2023年度共资助项目59项,涉及大地构造演化及其资源能源效应项目39项,涉及表层地球系统研究,特别是地质灾害、水文地质与环境地质、地下空间等领域项目17项,涉及地质调查新技术新方法项目3项。资助项目中具有交叉属性的占比67%,反映了地质调查工作对综合技能要求的提升。地质联合基金实施两年以来,有关高校、科研院所、地勘单位等积极参与,有力推动了地质行业科技创新能力水平的提升,为地质事业的发展和科技创新注入了活力和动力。本文的系统总结为分析地质联合基金实施效果提供参考的同时,也对地质联合基金未来发展的方向和我国地质调查事业深度融合提出展望和建议。

多类病人的结直肠癌联合筛查策略优化

针对早期结直肠癌病人,考虑了资源约束下的多类病人联合筛查策略优化问题.建立了该问题的马尔科夫决策模型(MDP)用于求解最优动态筛查策略,提出了基于混合整数规划(MIP)的近似模型求解更大规模的问题,分析了不同资源水平与人群特征下的最优联合筛查策略,并对比了不同情景下各种筛查策略的效果.实验结果表明,联合筛查策略明显优于单独筛查策略,能够帮助提升健康人群的预期质量调整生命年(QALYs)达到1.84%,并且提升幅度随资源的紧张程度、疾病的严重程度、男性和老年人群的比例上升而增大.

基于半正定规划的交直流主动配电网三相有功无功联合优化

交直流主动配电网作为未来配电网的主要发展形态,实现其有功无功资源的协同优化控制具有重要的研究意义。然而配电网负荷单相接入和分布式发电三相功率不一致,将导致配电网三相不平衡现象越发严重。为了应对交直流主动配电网的三相不平衡问题,提出考虑相间耦合与三相不平衡度限制的三相有功无功联合优化方法。首先,建立考虑相间耦合的原始三相潮流模型并对其进行升维映射;其次,采用半正定松弛方法,推导了交直流主动配电网各子系统的完整三相潮流模型以及序分量形式下的三相电压不平衡度约束;再次,提出以总运行成本最小化为目标函数的交直流主动配电网三相有功无功联合优化模型;最后,采用改进IEEE 33节点、69节点、141节点和1056节点交直流配电网算例分析,验证了该文所提方法的有效性。

考虑道路受阻的森林火灾应急资源联合调度优化研究

针对森林火灾发生后可能存在的交通路网受阻情况,探讨一类新的森林火灾应急资源联合调度优化策略,构建了兼顾资源受限和道路受阻的森林火灾应急资源联合调度的混合整数线性规划模型。为减少森林火灾造成的资源损失,优化目标设定为最小化消防救援时间,并且根据问题特性设计两种编码方式的改进人工蜂群算法。最后,通过典型实例和随机仿真算例进行实验验证。实验结果表明:(1)对于实际案例和中小规模仿真案例,采用商业求解器CPLEX求解模型,能够在5 min内获得最优的消防救援方案;(2)对于大规模森林火灾,提出的改进人工蜂群算法求解性能优于商业求解器CPLEX,只需10 s就能够获得更高质量的消防救援方案,可为道路受阻下的森林火灾应急救援团队提供有效的消防救援方案。

基于故障观测器的机器人多关节手臂最优容错控制

针对机器人多关节手臂容易出现卡死、饱和及损伤等故障影响控制精度的问题,利用设计的故障观测器提出了一种最优容错控制律。首先根据机器人多关节手臂末端的空间位置与各关节转动角度的关系,建立了机器人多关节手臂的故障模型;然后定义了多关节手臂的转角和接触力的跟踪误差,并设计了故障观测器,通过引入径向基函数(Radial Basis Function,RBF)神经网络估计出模型参数;最后根据动态规划的思想,建立了综合位置/接触力跟踪误差和故障的机器人多关节手臂性能指标矩阵,并设计了包含Hamiltonian方程的容错控制律,利用RBF神经网络求解出最优的性能指标,从而得到最优的容错控制律。仿真结果表明,设计的最优容错控制律能够克服各类故障带来的影响,故障估计的最大误差仅为0.09 N·m,位置跟踪的最大误差仅为0.14 cm,接触力控制的最大误差仅为0.18 N,验证了设计方法的可行性。六自由度多关节手臂测试结果表明,在8个空间坐标上定位的最大误差仅为0.17 cm,接触力的最大误差仅为0.22 N,从而验证了设计的最优容错控制律具有优越的工程实用性。

程序化手法联合常规疗法对偏瘫后上肢痛患者疼痛程度、上肢关节活动度的影响

目的:探究程序化手法联合常规疗法在偏瘫后上肢痛患者治疗中的价值。方法:选取2019年1月—2023年1月河南省平煤神马医疗集团总医院收治的62例脑卒中偏瘫患者作为研究对象,采用电脑随机法将其分为研究组(n=31)和对照组(n=31)。对照组采用常规疗法,研究组在对照组基础上给予程序化手法。比较两组患者临床疗效、治疗前后视觉模拟量表(VAS)评分、Fugl-Meyer上肢功能量表(FMA)评分、肱动脉血流动力学[直径(D)、收缩期峰值血流速度(PSV)、阻力指数(RI)]、上肢关节活动度及不良反应情况。结果:研究组患者总有效率高于对照组,差异有统计学意义(χ^(2)=4.769,P<0.05)。治疗12周后,两组患者VAS评分较治疗前下降,且研究组低于对照组,两组患者FMA评分较治疗前升高,且研究组高于对照组,差异有统计学意义(t=5.478、2.587,P<0.05);两组患者D、PSV、RI均较治疗前改善,且研究组改善幅度大于对照组,差异有统计学意义(t=2.442、2.078、2.416,P<0.05);两组患者外旋范围、前屈范围均较治疗前增加,且研究组均高于对照组,差异有统计学意义(t=2.949、2.763,P<0.05)。治疗期间两组患者均未出现严重不良事件。结论:程序化手法疗效确切,可改善血流动力学指标,有效减轻疼痛,提高上肢运动功能,且具有较高安全性。