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大规模分布式新能源发电接入引起的电压越限和网损升高问题给主动配电网的安全稳定运行造成了巨大挑战。特别是中低压配电网中的新能源发电集群模型参数精确性有限，将影响传统基于模型的配电网电压控制方法效果。为此，提出了一种基于数据驱动的高比例新能源发电集群分布式电压控制方法。首先，基于集群海量运行数据采集，通过Koopman方法对非线性潮流方程进行高维线性等值，获取不依赖于集群模型参数的高精度无功-电压灵敏度数值。随后，基于数据驱动获取的灵敏度修正分布式次梯度迭代方向，实现新能源发电集群点对点分布式高效迭代电压控制。最后，采用改进的新能源发电集群算例验证所提出方法的效果，在模型不精确场景下，方法在迭代收敛速度和电压控制结果方面相比传统基于模型参数的分布式优化方法具有显著优势。

铝合金在大跨空间、桥梁、电力塔架等结构中得到了良好应用。随着现代工程结构日益向大跨、复杂、重载、恶劣环境等方面发展,对铝合金的力学性能提出了新要求,特别是要求结构材料具有更高的强度。从7×××系高强铝合金的工程应用、材料力学性能、构件稳定性能和焊接性能方面阐述了我国高强铝合金的研究进展。关于7×××系高强铝合金材料力学性能的研究较为充分,而对其构件稳定性能的研究尚处于初步阶段;缺乏基于搅拌摩擦焊接连接的铝合金结构受力性能的相关研究。建议了用于构件计算的7A04-T6高强铝合金的设计指标,可为我国铝合金结构技术标准的编制和修订提供参考,以期推动高强铝合金结构的工程应用。

针对当前机会网络中基于议价博弈的概率路由算法存在的汇总矢量（SV）交换机制含有冗余的控制分组,消息交易过程有冗余交互以及节点投递概率信息由专门的数据结构存储和传送,带来额外的通信开销等问题,提出一种基于SV捎带信息的机会网络低开销路由算法——LR-IPSV,该算法通过设计改进的SV交换机制,剔除现有消息交易过程中存在的冗余操作,并提出采用基于SV的投递概率捎带机制,从而达到降低开销和提升吞吐量的效果。仿真结果表明,LR-IPSV算法在开销、吞吐量等方面的性能均优于基于相遇和传输历史的概率路由（PROPHET）算法以及基于博弈刺激合作的概率路由（GSCP）算法。

现有车载网中根据地理位置信息贪婪转发并利用路侧单元辅助的路由算法存在大量的冗余Beacon消息,节点在贪婪转发时容易陷入局部最大,偏离原有路径。针对这些问题,提出一种高效的路由和消息聚合机制,该机制采用控制包的聚合及数据包与控制包的消息聚合机制来减少控制包的发送,并对节点利用贪婪转发时陷入局部最大和偏离原有路径进行有效处理。仿真实验结果表明,路由和消息聚合机制能有效地提高消息发送的成功率,降低消息的平均端到端时延,减少网络的控制包开销。

为了提高光传输容量,提出了一种四进制正交幅度调制相干光检测正交频分复用系统与密集波分复用系统平行复用的超信道系统。利用Optisystem软件和Matlab软件搭建仿真平台,采用非线性分离模型控制四波混频噪声的加入,并使用误差向量幅度来测量误码率。在不同的传输速率、复用间隔和信道数下,通过仿真不同的循环前缀、入纤功率来研究四波混频对系统的影响和系统的非线性容限。仿真结果表明,随着循环前缀的增大,误码率先减小后增大,有最优取值,一般为快速傅里叶变换窗口长度的1/8。新型光纤链路超信道系统的误码率总是比常规光纤链路的小,且有更好的非线性容限。

Copyright of Journal of Kunming Medical University / Kunming Yike Daxue Xuebao is the property of Kunming Medical Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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The changes and prediction of runoff in the upper reaches of the Yellow River under global climate change are one of the hotspots in watershed ecological hydrological research. In 2008—2020, the relationship between runoff and the changes of climate factors in the upper reaches of the Yellow River basin were systematically analyzed with the monitoring data from 48 meteorological stations in the basin and runoff data from the Toudaoguai hydrological station, while a runoff prediction model was also established. The results show that the monthly average temperature, monthly precipitation, and monthly evapotranspiration in a single month do not show a significant interannual variation trend in most months, but the annual average temperature and precipitation significantly increase, while the annual evapotranspiration also shows an upward trend, but the statistics are not significant. The monthly runoff of most single months and annual runoff shows interannual increasing trends significantly. Based on the significant correlations between monthly average temperature, monthly precipitation, and monthly evapotranspiration with monthly runoff, the climate factors-based runoff prediction model for the upper reaches of the Yellow River basin has good prediction performance. [ABSTRACT FROM AUTHOR]

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Objectives: In order to withstand the deep water pressure, the cylindrical structure and the coni⁃ cal structure are often used as the submarine pressure hull. The section roundness of the submarine pressure hull needs to be measured during construction and repair. Due to the limitation of environment conditions and the fusion of different survey methods to obtain data, the survey points are often non-uniform. This case would result in the deviation between the results of classical least square circle fitting method and the actual situation, especially to the maximum deflection which is used as the judgment condition of round⁃ ness. Therefore, it is necessary to adopt a method to eliminate the influence of non-uniform distribution of the survey points. Methods: A non-uniform sampling weighted least squares circle fitting method and its weighting rules are proposed based on the classical Pratt circle fitting method. There are three steps in the proposed method. First, the survey points are fitted by the classical Pratt method. Then, the weight of point is calculated according to the corresponding center angle. Finally, the survey points with weight are fitted. Results: Numerical experiments on standard ellipse sampling analysis are carried out. The results show that the maximum deflection is more affected than the fitted center and radius by the non-uniformity of the sampling points. Because the roundness evaluation judgment of the submarine pressure hull is based on the maximum deflection, the fitting results of the proposed method are more accurate and reliable than the classical circle fitting method. Conclusions: The proposed method can eliminate the influence of nonuniform sampling on circle fitting better, and has good accuracy and engineering practical value [ABSTRACT FROM AUTHOR]

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In firefighting and industrial scenarios workers exposed to factors like metabolic heat production protective clothing and high-temperature radiation can experience a range of heat stress reactions such as increased body temperature dehydration fatigue and heatstroke potentially endangering human life. Heat stress assessment helps identify thermal risks in the work environment allowing for the adjustment of environmental parameters to enhance safety and comfort. Additionally improving working conditions can increase worker efficiency and overall productivity. Thermo-physiological models known for their flexible modeling and stable prediction are extensively used for thermal stress and safety assessments in thermal environments. This article aims to provide reference for further research on optimizing modeling methods and enhancing the predictive accuracy of thermo-physiological models so as to advance the technology for assessing thermal stress in clothed individuals in hot environments and establish individual protection strategies to ensure the health and safety of workers. When assessing thermal stress responses in clothed individuals in high-temperature environments researchers primarily focus on experimental studies and predictive modeling. However existing assessment methods have their limitations human experiments are costly and pose safety risks dummy tests struggle to dynamically respond to environmental changes and current thermal stress prediction models are more suited to steady-state thermal environments lacking efficacy in complex thermal scenarios. These issues underscore the need for more refined and comprehensive tools for thermal stress assessment. Consequently the development and application of thermo-physiological models have become a significant research direction in assessing human thermal stress in high-temperature environments. In practice the modeling and simulation of the human body the heat transfer model between the human body and the environment and the simulation of clothing heat transfer all impact the assessment outcomes. In human body modeling there is an increasing focus on detailed physiological structure portrayal and the complexity of simulating thermal regulatory mechanisms. Recent studies have developed extended human models suitable for high-temperature environments especially for individuals working in nonuniform thermal conditions considering both the characteristics of the subjects and the environment. In constructing the human-environment heat transfer model a comprehensive analysis of heat and mass transfer between the environment and the human body is conducted and numerical simulations are employed to determine the heat transfer coefficients of various human body surfaces. Two primary strategies are employed in clothing heat transfer simulation incorporating simplified thermal parameters of clothing or integrating thermo-physiological models with dynamic clothing models. Building a human thermo-physiological model is an effective method for assessing thermal stress in clothed individuals in high-temperature environments offering advantages such as stability efficiency and flexibility. In the future research can be carried out from the following directions. First new algorithms can be developed based on research in physiology and neuroscience to more accurately simulate the actual details of human body temperature regulation in high-temperature environments. Second integrating dynamic heat transfer coefficients into human-environment heat transfer models presents challenges necessitating overcoming differences between CFD models and human thermo-physiological models and applying suitable numerical methods and grid resolutions to capture the complex heat transfer and flow processes in high temperatures. Third it is necessary for future research to focus on enhancing the integration of clothing models with thermo-physiological models improving the precision of clothing models by considering material properties and fabric structures and developing comprehensive human-clothing-environment models for high-temperature settings taking into account key factors such as environmental temperature and humidity wind speed thermal radiation and human dynamics. [ABSTRACT FROM AUTHOR]

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In computed tomography (CT), metal implants introduce severe artifacts, leading to degraded image quality and impacting diagnostic value. To correct metal artifacts in cone beam CT, a metal artifact correction algorithm based on the biharmonic equation is proposed. Firstly, the reconstructed image with metal artifacts is filtered using bilateral filtering and segmented using a metal threshold, obtaining metal and non-metal images. Secondly, forward projection is applied to both images, generating metal projection regions and prior projection images. Thirdly, the original projection is normalized using the prior projection image, and the metal regions are repaired using biharmonic equation interpolation, resulting in the repaired projection data. The repaired projection data is then denormalized and reconstructed using the FDK algorithm. Finally, the reconstructed image is fused with the metal image to obtain the final corrected image. To validate the performance of this algorithm, experiments on metal artifact correction were conducted using real acquired data. The results show that compared to commonly used linear interpolation and normalization correction algorithms, the root mean square errors within the region of interest (ROI) are reduced by 22% and 8% respectively. This algorithm effectively suppresses metal artifacts and outperforms commonly used metal artifact removal methods. [ABSTRACT FROM AUTHOR]

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The experiment aimed to study the effects of fermented additive of modified Liujunzi decoction on the growth performance, intestinal enzyme activity, microbial population, and intestinal pH value of broilers. Four hundred healthy one-day-old white feather broilers with similar body weights were randomly divided into four groups, with five replicates per group and 20 broilers per replicate. Group A, group B, and group C were fed a basal diet supplemented with 0.6% fermented Chinese herbal medicine, 1.2% fermented Chinese herbal medicine, and 1.2% non-fermented Chinese herbal medicine, respectively. Group D (control group) was fed a basal diet. The preliminary trial lasted for seven days, followed by a 28-day experimental period. The results showed that compared with the control group, the average daily weight gain of broilers in the group A and group B increased, as well as the activities of intestinal amylase and protease (P<0.05). The population of Lactobacillus in the ileum increased (P<0.05), while the populations of Escherichia coli in the ileum and cecum of 36-day-old broilers decreased (P<0.05). Compared with the control group, the pH values of the duodenum, jejunum, and cecum in the group B at 20 days of age decreased (P<0.05), and the pH values of the duodenum, jejunum, and cecum in the group A and group B at 36 days of age decreased (P<0.05). The study indicates that adding a certain amount of fermented additive of modified Liujunzi decoction to broiler diets can improve the intestinal environment, promote digestion and body development, and the recommended dosage is 0.6%. [ABSTRACT FROM AUTHOR]

Malignant tumor is still one of the malignant diseases with high morbidity and mortality in the world. Its occurrence and development are influenced by various factors. Exosomes are nanoscale secretory vesicles that play an important role in the occurrence and development of malignant tumors, and have intercellular communication functions. The mechanism of action of traditional Chinese medicine in prevention and treatment of tumors is not yet comprehensive enough. This article discusses the relationship between exosomes and tumor development, relapse, metastasis and drug resistance, and the application of exosomes in the treatment of malignant tumors by traditional Chinese medicine, to provide reference for finding new breakthroughs in the treatment of malignant tumors. [ABSTRACT FROM AUTHOR]