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高比例可再生能源电力系统中源荷功率在气象的影响下耦合程度增加。基于生成式模型的场景生成方法是分析源荷功率不确定性问题的成熟工具，然而实际应用中常受源荷数据匹配样本少的问题限制，直接生成的中长期源荷耦合时序场景质量较差。提出一种基于典型源荷耦合模式的中长期时序场景生成方法。首先，定义了源荷各自的气象模式概念。然后，通过气象距离将历史数据中典型气象模式相似的源荷聚合成定义的典型源荷耦合模式。接着，采用生成对抗网络生成典型风光场景，并将生成场景与典型源荷耦合模式进行匹配。最后，根据匹配的对应关系得到典型源荷耦合场景。以日本地区为例的仿真结果表明，所提方法能够提高场景在气象方面的可解释性，同时减小了源荷数据匹配样本少对中长期源荷耦合场景生成的影响。

提出一种基于数字孪生及神经网络的电压扰动定位方法。首先根据配电网中大量的监测点信息以及网架结构参数构建配电网数字镜像模型，然后采用人工神经网络对数字镜像模型的历史数据进行学习训练，得到反映节点电压与暂降发生位置之间映射关系的神经网络模型。该模型可以根据暂降后各节点的电压数据得到反映各节点故障特征的信息，进而实现对暂降源的定位。以河南某县30节点的配电网为例，对所提方法的有效性进行验证，结果表明该方法能够实现对电压暂降源的准确定位。

轻钢龙骨注浆复合墙板作为建筑工业化的低层承重墙板或高层围护墙板,由于其自重轻、易安装,在工程中有很好的应用前景。然而目前国内外尚缺乏在地震作用下钢框架内嵌连接轻钢龙骨注浆复合墙板结构的试验数据和分析结果。开展了2榀钢框架内嵌连接轻钢龙骨注浆复合墙板结构试件和1榀轻钢龙骨注浆复合墙板试件的水平低周往复加载试验,研究参数为墙板开洞和框架设置,系统分析了结构的受力机制、破坏模式和耗能机理,得到承载力、刚度、延性系数和耗能能力等指标,揭示此类墙板与钢框架在地震作用下的滞回性能和协同受力特性。研究结果表明,钢框架与轻钢龙骨注浆复合墙板采用内嵌式连接方式具有良好的抗震性能和变形能力,在地震作用下具有很好的整体性能和协同受力性能,满足结构抗震设计要求;墙板开洞会对整体结构的初始刚度和抗侧极限承载力有一定削弱。研究成果将为轻钢龙骨注浆复合墙板在国内多、高层装配式钢结构工程中的应用和推广提供参考依据。

为推广冷弯薄壁型钢填充复合墙板在高层结构中的应用,进一步了解该冷弯薄壁型钢填充复合墙板作为抗侧力构件应用于高层结构中的抗震性能,将冷弯薄壁型钢填充复合墙板引入半刚性钢框架结构中并研究其抗震性能。基于有限元分析软件SAP2000,采用Pivot恢复力模型对冷弯薄壁型钢填充复合墙板进行简化分析,并推导出墙板P-Δ骨架曲线关系公式;采用转角弹簧单元对矩形钢管柱与H形钢梁单边高强螺栓连接节点进行简化分析;并在此基础上建立半刚性钢框架-冷弯薄壁型钢填充复合墙板结构简化分析模型。在此简化基础上,建立1个10层3跨半刚性空框架和3个以墙板布置方式为参数的半刚性钢框架-冷弯薄壁型钢填充复合墙板结构,利用时程分析方法考察了4类框架结构在8度区不同设防水准下的顶点位移、层间位移角等,获悉结构在不同地震作用下的动力响应。研究结果可为后续该结构的抗震性能分析奠定基础。

近20年来，由于新能源并网、海上风电和跨海输电等长距离输电的需求，直流电缆得到了长足的发展。简要回顾了世界直流电缆的发展历程，介绍了世界主要直流电缆输电工程及目前世界直流电缆的生产现状，对不同绝缘型式的直流电缆进行了介绍和比较；探讨了直流电缆的关键技术问题，包括电导率温度特性和空间电荷特性，最后对直流电缆的发展进行了展望。这些研究可为未来特高压直流电缆的发展提供参考。

运用Ritz能量变分法推导出钢板深梁在水平荷载作用下的临界荷载计算公式。应用有限元软件ANSYS分析了钢板深梁的弹性屈曲机理,提出了3类典型屈曲模式,得到了钢板深梁在各类屈曲模式下的跨高比阈值。对跨高比为2.0的钢板深梁填充钢框架体系进行了试验研究。将得到的结果进行对比分析,结论如下:有限元所得第1类屈曲模态与试验屈曲模态一致;试验所得临界荷载与理论解误差为7.8%20.4%;理论结果与有限元所得第1类屈曲临界荷载接近,验证了理论解的正确性。所得结果可为此类构件的设计和应用提供理论基础。

Copyright of Acta Agriculturae Zhejiangensis is the property of Acta Agriculturae Zhejiangensis Editorial Office 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.)

Sowing depth and simple blockage can limit the traditional planters in the wheat wheat-wide seedling belt during rotary tillage. In this study, the combination design was adopted with the fertilizer pipe and slide knife-type ditching. The slide knife-type ditching and fertilizer pipe were situated at the front-mounted of the working range gap of the wide seedling belt rotary tillage knife group. The coupling operation was realized for the slide knife-type ditching fertilizer pipe and rotary tillage knife group. Among them, the slide knife-type ditching and fertilizer pipe, rotary tillage knife group, seed distributor, and compaction wheel of the same seedling belt were collinear to create a wide seedling belt fertilization and sowing mode. The fundamental parameters were calculated for the blade line of the slide knife-type ditching fertilizer pipe and the arrangement of the rotary tillage knife group. An exponential function curve was fitted for the blade line, with a working depth of 100 mm. The rotary tillage knife group was featured by a symmetrical spiral arrangement with three rotary blades (L = 3) within the same soil soil-cutting area. In addition, the theoretical analysis was also carried out on the principle of cooperation between the slide knife-type ditching fertilizer pipe and the rotary tillage knife group. The discrete element simulation model was constructed to explore the traction force resistance of different slide knife-type ditching fertilizer pipes in the seedbed over time. A systematic investigation was made to clarify the influence of the relative position of the slide knife-type ditching fertilizer pipe and the rotary tillage knife group on the indexes, such as seedbed and sowing depth. The simulation results showed that there was the smallest resistance of 40° slide knife-type ditching fertilizer pipe. The front-mounted fertilizer pipe and rotary tillage knife group were combined to effectively avoid the influence of the fertilizer ditch on the consistency of sowing depth in the wide seedling belt. The field experiment was carried out with reference to the performance experiment standard of sowing operation. The experiment demonstrated that the new planter was better performed to realize the wide seedling belt sowing, when the forward speed of the machine was 1.11 m/s. The bBetter performance was achieved in the uniform sowing and a highly qualified rate of sowing depth, compared with the traditional planter. The qualified rate of sowing depth was 94.36%, while the coefficient of variation was 3.79%, indicating the excellent sowing. The front-mounted fertilizer pipe and the rotary tillage knife group were combined to form an 'inverted triangle' spatial pattern of three-dimensional distribution in the seed bed. This was also beneficial to the early nutrient absorption of the crop. The blockage was further avoided to cause by the small spacing between the fertilizer pipe and the seed distributor. The high passing was fully met the requirements for the wide seedling belt wheat planting. The findings can provide the support to optimize the wheat sowing device in the wide seedling belt. [ABSTRACT FROM AUTHOR]

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Based on Landsat TM/ OLI remote sensing images from 2000, 2005, 2010, 2015 and 2019, this study conducts land use interpretation in the Lijiang River basin, and quantitatively and qualitatively analyzes the spatial-temporal distribution of land use. RS and GIS technologies are applied to construct a landscape ecological risk assessment model. It analyzes the spatial-temporal evolution characteristics of landscape ecological risks in the Lijiang River basin, and it reveals the coupling relationship between land use change and landscape ecological risks. The results indicate that:(1) Land use types of the research area are mainly forest land and cultivated land, and there have changes between land use types, mainly manifested as the transformation of cultivated land into forest land and construction land. The area of construction land, water bodies, and forest land has been increasing year by year, with an increase of 70. 62, 32. 44 and 75. 83 km² respectively during research period. The total area of cultivated land has decreased by 166. 33 km² . (2)The overall ecological risk level of the research area has decreased, with low ecological risk areas decreasing first and then increasing, and higher and high ecological risk areas increasing first and then decreasing: from 2010 to 2019, the area of low ecological risk areas has increased by 282. 64 km², while the area of higher and high ecological risk areas decreased by 206. 80 and 71. 74 km², respectively. (3)The area and rate of converting cultivated land into forest land in the southern part are higher than those in the northern part, resulting in a 6. 32 km shift in the landscape ecological risk centroid from north to south. (4)The Moran's I values of landscape ecological risks in the research area from 2000 to 2019 are all greater than 0. 65, indicating a strong spatial positive correlation and a tendency towards clustering. The spatial distribution of the LISA cluster map is consistent with the land pattern distribution during the same period, indicating that human activities have a certain degree of impact on the landscape ecological risk of the Lijiang River basin. [ABSTRACT FROM AUTHOR]

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Copyright of Arid Zone Research / Ganhanqu Yanjiu is the property of Arid Zone Research Editorial Office 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.)

Copyright of Chemical Engineering (China) / Huaxue Gongcheng is the property of Hualu Engineering Science & Technology Co Ltd. 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.)

Ink as an important part of documents is a key material evidence in the field of forensic science. Its in-depth study and accurate identification are of great significance for the detection and trial of cases. Different inks may have different volatile components, so these volatile components play an important role in the identification of ink and the judgment of the writing age. According to the different application fields and components, the types and components of ink are sorted out, and various instrument methods for the identification of volatile components are introduced, mainly including UV-Vis spectroscopy, Raman spectroscopy, infrared spectroscopy, fluorescence spectroscopy, gas chromatography，gas-liquid combination method, mass spectrometry，etc. These methods have their own advantages and disadvantages, and are suitable for different inks. In addition, the development of ink volatile component testing methods is prospected, and the existing defects in the current methods are pointed out, in order to provide reference for forensic science document testing workers. [ABSTRACT FROM AUTHOR]

The measured data of internal movement and deformation of the overburden are insufficient, the prediction is difficult and the reliability is low. A method was constructed based on geometric similarity characteristics to predict the internal movement and deformation of the overlying rock using measured surface subsidence data. This method considered the expansion and compression resulting from the movement and deformation of the overlying rock after coal mining. The research shows that when predicting the internal movement and deformation of the overlying rock near the surface. the expansion and compression of the rock can be disregarded. However, when predicting the internal movement and deformation near the mining coal seam, the expansion and compression need to be considered. Near the mining boundary, the expansion and compression can be disregarded, but in the center of the mining area, they need to be considered. The research results contribute to the green and safe mining of coal. [ABSTRACT FROM AUTHOR]

Copyright of Evaluation & Analysis of Drug-Use in Hospitals of China is the property of Evaluation & Analysis of Drug-Use in Hospitals of China Editorial Board 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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(Objective) The present paper aimed to clarify the diversity, distribution, and occurrence dynamics of the main pest communities in pure plantations of Melaleuca leucadendron and its mixed plantations with Eucalyptus plantations and Podocarpus macrophyllus in Guangxi, providing a basis for the cultivation of M. leucadendron and green non-pollution pest control. (Method In 2023, the planting areas of M. leucadendron in Qinzhou, Guangxi were investigated, mainly through route surveys and standard plot surveys, supplemented by fixed-point monitoring, regular surveys and indoor rearing observations. The study focused on the composition, diversity and occurrence dynamics of the main pest communities in M. leucadendron and its mixed plantations. (Result) There were 28 species of main pests belonging to 22 families in M. leucadendron plantations, including Hemiptera, Lepidoptera, Coleoptera, Orthoptera, Dermaptera and Thysanoptera, with the highest numbers of pests in the Lepidoptera and Hemiptera. Higher numbers were found in M. leucadendron Eucalyptus mixed plantations, with significant damage to leaves by Euricania ocellus, Bombotelia sp., Strepsicrates coriariae, Jankowskia fuscaria and Hyalopterus arundimis. Among the three types of stands, B. jocosatrix caused the most severe damage in the mixed plantations, the highest number of pest species was found in the mixed forests of M. leucadendron P. macrophyllus and the pest diversity was the lowest in the pure stands. The pest occurrence dynamics were more stable and the damage was less severe in the M. leucadendron x P. macrophyllus mixed plantations. There were differences in the abundance of pests and Chaol index among different stand types, with the M. leucadendron Eucalyptus mixed plantations having a higher pest abundance and Chaol index. The occurrence dynamics of B. jocosatrix and M. phaseoli varied among different stands, with the earliest outbreaks of B. jocosatrix in the M. leucadendron Eucalyptus mixed plantations and M. phaseoli in the pure M. leucadendron stands. (Conclusion】 Mixed plantations of M. leucadendron with different species can help improve pest occurrence and diversity, with the M. leucadendron x P. macrophyllus mixed plantations reducing the occurrence of major pests among the three stand types. [ABSTRACT FROM AUTHOR]

Copyright of Current Biotechnology (2095-2341) is the property of Chinese Academy of Agricultural Sciences, Institute of Biotechnology 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 impact of international geopolitics on transportation network patterns is an important topic in economics and transportation geography. Previous studies have often overlooked the diversity of domestic crude oil transportation among countries due to limitations in statistical data, focusing mainly on national-level node selection. Additionally, the evolution of network characteristics is predominantly analyzed through long-term descriptive approaches, lacking specific contextual analyses of network evolution. This study investigates changes in the maritime crude oil transportation network along the Belt and Road Initiative (BRI) routes against the backdrop of the Russia-Ukraine conflict, offering new evidence for research in this field. Using AIS (Automatic Identification System) ship trajectory big data and complex network analysis methods, this study analyzes the overall characteristics, node importance, core-periphery structure, and clustering of the maritime crude oil transportation network along the BRI routes from 2019 to 2022. Furthermore, it examines the impact of maritime network changes on the stability of crude oil imports to China. Our findings reveal several key points. 1) The closeness, strength, and accessibility of network connections between ports show an initial increase followed by a decreasing trend. The direction of the overall network characteristic changes in the periods 2019- 2020 and 2020-2022 are opposite, with a greater magnitude in the latter period. In recent years, particularly following the Russia-Ukraine conflict, the scale-free nature of the network has continuously increased, accompanied by an increase in the concentration of crude oil shipping connections. This concentration, notably evident towards export destinations, reflects a shifting pattern in the crude oil supply demand landscape, spatially manifested as China replacing some of its crude oil shipping connections with the Middle East, thus reducing its reliance on Russian crude oil shipments. 2) The comprehensive importance of export ports has become more prominent, with a slight decrease followed by a significant increase in recent years. The importance of ports in Russia's Far East region has notably increased, reflecting a shift in Russia's crude oil export center eastward after the Russia-Ukraine conflict. The network structure transitioned from single-core to multi-core to single-core with export ports occupying more central layers. 3) Initially, there was a continuation of the core-periphery and clustering structures, but later, there was significant structural reorganization. In 2020, the core-periphery structure and clustering in terms of core ports, geographical distribution, and cluster size were largely the same as corresponding clusters in 2019; however, by 2022, a noticeable structural reorganization emerged. 4) Changes in maritime networks significantly and heterogeneously affect China's crude oil import stability. At the network level, import stability initially increases and then decreases, with the decline in the later period far exceeding that in the earlier period. At the port level, compared to ports around Bohai Bay and the Yangtze River Delta, ports along the southeastern coast, Pearl River Delta, and southwestern coast were more affected by the Russia-Ukraine conflict in terms of crude oil import stability. China responded to the risk of instability in its crude oil import network against the backdrop of the Russia-Ukraine conflict by adjusting its sources and proportions of imports from different ports. This study provides scientific evidence for a deeper understanding of the impact of geopolitical events on China's oil imports and the formulation of national energy security strategies. [ABSTRACT FROM AUTHOR]

The rapid development of information technology has triggered an explosion of data, marking the era of big data. A wide range of transportation big data has been used in urban space and travel behavior studies since the beginning of this century. Mobile phone signaling data in particular have many advantages: they have prevalent spatial and temporal coverage, high tracking stability, satisfactory resolution, and low cost. The description of urban phenomena and the analysis of their forming mechanisms using mobile phone signaling data are thoroughly studied by previous research. The next course of action is to tackle specific urban problems. This study summarizes the application progress of mobile phone signaling data in job-housing relationships and travel behavior studies, discusses the application prospects of mobile phone signaling data in transportation carbon emissions research based on past applications and the existing literature on low-carbon transportation, and proposes a research framework and several future directions for studies using mobile phone big data to examine job-housing relationships, travel behavior, and transportation carbon emissions. We first provide a brief introduction to the features of mobile phone signaling data in comparison with other commonly used data types, including their type, content, and spatial-temporal resolution. We then review the existing applications in job housing and travel research. Regarding the jobs-housing relationship, prior studies employ mobile phone signaling data to detect the spatial distribution of workplaces and residences of urban dwellers, analyze jobshousing relationship features and urban spatial structure characteristics, and examine the factors influencing jobshousing relationships. Regarding travel behavior, studies employ mobile phone signaling data to identify stays and trips, infer trip modes, detect trip routes, and explore the universal laws of human mobility. Next, we also discuss how mobile phone signaling data can be applied to transportation carbon emissions research. Indeed, mobile phone signaling data can be used in the calculation of transportation carbon emissions and analysis of the relationships between urban spatial structure, individual travel behavior, and transportation carbon emissions, and its wide coverage and large sample size can be exploited to fill research gaps and problems that have yet to be resolved using traditional traffic datasets. Finally, we present a research framework underlining the indirect and direct effects of the jobs-housing relationship and travel behavior on transportation carbon emissions. We also propose future directions in study contents and methodological innovations by recommending long time-series longitudinal studies, large-scale comparative studies, and new population and transportation phenomena. We further recommend fusing multi-source big and small data, incorporating machine learning algorithms into traditional statistical analyses, and constructing digital twin models. Examining the jobs–housing relationship, travel behavior, and transport carbon emissions using mobile phone signaling data is essential for clarifying the interactions between urban and regional structures, travel behavior characteristics, and transport carbon emissions. It has important implications for emissions reduction and sustainable development in the context of proposing carbon peaking and carbon neutrality goals. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Architecture & Civil Engineering is the property of Chang'an Daxue Zazhishe 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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