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提出了一种基于卖方灵活合同的绿电与绿证中长期联合交易机制，聚合商协商达成中长期绿电交易合同，并基于风、光出力预测误差，考虑现货市场交易的影响执行卖方灵活合同交割。同时，聚合商可通过绿证市场交易，完成绿证考核指标。为验证该机制的有效性，进一步构建了聚合商绿电-绿证交易均衡模型，并设计了基于Lp-Box ADMM（alternating direction method of multipliers，交替方向乘子法）的分布式求解算法。通过模拟算例分析，验证了所提方法的有效性并分析了对聚合商交易行为及成本/收益的影响。结果表明所提出的机制可以有效实现聚合商间的中长期绿电与绿证联合交易，促进中长期绿电合同的达成，实现绿电与绿证交易的有效衔接。

随着数字经济的飞速发展，以及“全国一体化数据中心”和“东数西算”等基础设施的不断完善，数据要素流通的大趋势使数据服务逐步由面向单一空间域的数据管理转变为面向跨空间域的数据管理。跨域数据管理需要通过分布式共识算法使数据一致。然而，已有的分布式共识算法仅考虑单数据中心的情况，没有考虑跨数据中心之间的网络通信的不确定性，从而在跨空间域场景下面临日志同步时延大、系统吞吐量低下等问题。系统地梳理了跨空间域下的分布式共识算法的现状以及面临的新挑战，并针对解决这些挑战的技术路线进行了展望。

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This study proposes a dynamic face recognition system to address the problem of requiring the recognized individual's cooperation in existing static face recognition processes. The system uses the RetinaFace and FaceNet algorithms for dynamic face detection and recognition, respectively, and is optimized for high recognition accuracy and real-time performance. In particular, GhostNet is used as the backbone network for RetinaFace detection, and Adaptive-NMS(Non Max Suppression) non-maximum suppression is used for face bounding box regression. For FaceNet recognition, MobileNetV1 is used as the backbone network, and a joint loss function combining Triplet loss and cross-entropy loss is used for face classification. The optimized algorithm has excellent performance in detection and recognition The improved RetinaFace algorithm achieves detection accuracies of 93.35%, 90.84%, and 80.43% on the WiderFace dataset, with a frame rate of 53 frame·s-1. For dynamic face detection, the average detection accuracy is 96%, with a frame rate of 21 frame·s-1. When the FaceNet threshold is set to 1.15, the highest recognition rate is 98.23%. The average recognition accuracy of the dynamic recognition system is 98%, with a frame rate of 20 frame·s-1. The experimental results demonstrate that the proposed system fully addresses the problem of requiring cooperation from the recognized individual in static face recognition and achieves high recognition accuracy and real-time performance. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power 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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应用临床诊断、血液学、X光、病理剖检及病理组织学方法对1例圈养滑鼠蛇(Ptyas mucosus)体表肿物进行检测分析。X光检查显示该蛇体侧后有2个肿物,与周围组织界限明显,内有实质及钙化灶生成。剖检发现肿物包膜破溃,小肿物切面呈白色,质地较硬,大肿物质软,有恶臭气味,内部呈现分层结构,外部层腐烂部分伴有少量脓性增生; 镜下可见大量具有嗜酸性胞浆的、组织细胞样细胞的增生,局部可见大量粉色的、具有多核的巨细胞及大量钙化灶,结构疏松,大量毛细血管扩张。经病理学诊断,结合临床检查分析,该蛇确诊为横纹肌肉瘤。研究结果可为兽医对异宠临床横纹肌肉瘤的诊断提供参考。

Copyright of Journal of Anhui Agricultural Sciences is the property of Journal of Anhui Agricultural Sciences 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.)

In light of the insufficiency in the relevant research on the full constellation and multi-frequency differential positioning of the Beidou-3 System (BDS-3), this paper establishes a carrier phase differential positioning model based on multi-frequency observations and validates the algorithm by utilizing the measured data from the continuous operational reference station (CORS) network and the real vehicle-mounted dynamic data. The results indicate that in the static positioning mode, the B1CB2a combination among the dual-frequency combinations demonstrates the best positioning accuracy. Compared with B1CB2a, the three-frequency combination B1CB2aB3I has enhanced the positioning accuracy in the N, E, and U directions by 16% to 41%, 2% to 62%, and 7% to 47%, respectively, in the static positioning mode. In the dynamic positioning mode, the three-frequency combination B1CB2aB3I has increased the positioning accuracy in the N, E, and U directions by 53% to 61%, 52% to 75%, and 51% to 53%, respectively. B1CB2a, B1CB2aB3I can achieve centimeter-level and sub-decimeter-level positioning accuracy and fast and accurate fixing of ambiguity in static and dynamic positioning modes, significantly improving the performance and reliability of the positioning system. They have broad application prospects in smart transportation, drone navigation, and precision agriculture. [ABSTRACT FROM AUTHOR]

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Determining a reasonable irrigation schedule for crops and a combination of irrigation technology elements is the basis for scientific management of agricultural water resources, which can effectively alleviate the contradiction of water scarcity and guarantee regional food security. In this study, the AquaCrop model was calibrated and validated based on the summer maize field experiments in Yangling (2022) and Wugong (2017), Shaanxi Province to optimize the irrigation schedule, and the irrigation schedule of summer maize under typical hydrological years (wet year, normal year and dry year) and the required irrigation depth were determined in the study area; the WinSRFR software was calibrated and validated using the Yangling (2022) irrigation experiment; and the soil infiltration parameters of F4, F7, and F5 were selected to be representative of high (k = 98.437 mm/hα, α = 0.824), moderate (k = 85.396 mm/hα, α = 0.659), and low (k = 55.416 mm/hα, α = 0.617) infiltration capacities, and 1.0‰, 2.0‰ and 3.5‰ were used as representative values of typical bottom slopes in the study area, respectively to optimize values furrow irrigation technology elements (discharge and cutoff time) under different soil infiltration capacities and bottom slope by using WinSRFR. Finally, evaluation the yield increasing ability of the optimized irrigation schedule and the irrigation technology elements for summer maize by using AquaCrop model, respectively. The results indicated that the AquaCrop model can accurately simulated the maize growth, the coefficient of determination and Nash-Sutcliffe efficiency coefficient between simulated and measured values of canopy cover, aboveground biomass and soil water content ranged from 0.86 to 0.99 and 0.56 to 0.97, respectively, the root mean square error are 3.9 to 10.1%, 1.2 to 1.4 t/hm2 and 11.7 to 13.6 mm, respectively; The mean absolute value of the relative error between the simulated and measured values of yield were 1.85% and 7.47%, respectively; Summer maize in the study area must be irrigated once during wet year (during the grain-filling stage) and normal year (during the jointing stage) and twice during dry year (during the jointing and grain-filling stages), with the water quantity used in each irrigation event being 55 mm; the optimised k and α values were 55.416 to 98.437 mm/hα and 0.35 to 0.858, respectively, and the mean n value was 0.056; the optimal discharge and cutoff times were 2.2 to 3.3 L/s and 35 to 16 min, respectively, these values are suitable for meeting the requirement of the comprehensive irrigation performance indicator (Ci ) being ≥ 85%. Based on the irrigation schedules of optimization and the combination of irrigation technology elements of optimization for summer maize in 2022, the yield of maize simulated by AquaCrop model is 7.819 t/hm² ; compared with rain fed (5.972 t/hm² ), current condition (7.424 t/hm² ) and irrigation schedule of optimization (7.659 t/hm² ), summer maize yield increased by 1.847, 0.395 and 0.160 t/hm², respectively; and the percentage of summer maize yield increase by 30.9%, 5.3% and 2.1%, respectively, and saved irrigation water 59 mm. Therefore, the optimization of irrigation system and irrigation factor combination can effectively improve crop yield and save irrigation water; and it can be concluded that although irrigation is only used as a supplement to crop water requirements in semiarid and semihumid, it is important because it has substantive implications on maize yield. The research results can provide theoretical basis for furrow irrigation scheme design of the research region and technology support. [ABSTRACT FROM AUTHOR]

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To solve the problems of high cost, poor stability, and difficulty in deployment, a new indoor positioning system combining time of arrival (TOA) and angle of arrival (AOA) is proposed. The system is composed of the positioning base station and the controlled positioning unit. It is characterized by using the ultrasonic sensor arranged in the firing type to obtain the distance characteristics between the positioning base station and the controlled positioning unit, and using the angle sensor to obtain the angle characteristics of the controlled positioning unit relative to the positioning base station. A single base station is used to realize the accurate indoor positioning process. The basic structure and principle of the system are analyzed, the positioning model is established, and the fixed point positioning accuracy and tracking positioning accuracy are experimentally verified in a certain range. The experimental results show that the system has a simple structure, easy installation and strong robustness. The maximum fixed‑point positioning error within the test range is less than 5 cm, and the tracking positioning error is less than 15 cm. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Agro-Environment Science is the property of Journal of Agro-Environment Science 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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模块建筑作为一种新兴的建筑体系,具有较高的预制化和装配化程度,符合建筑工业化以及绿色建筑的发展要求,但国内的模块建筑大多只应用于低多层,探索多高层模块建筑结构体系的整体设计方法和适用性意义重大。针对应用于多高层的柱承重式钢模块建筑结构体系,首先根据抗侧力体系的不同,对典型的结构体系类型进行分类和简要介绍。考虑模块结构与传统结构的组成方式有所不同,对其特点及建模方法进行了论述。之后采用MIDAS/Gen有限元软件建立了大量模型进行分析,探究不同抗震设防烈度及建筑高度变化的情况下,各结构体系计算结果的变化规律,并与规范要求进行对比,从而得出各类抗侧体系的适用范围,最后提出针对多高层柱承重式模块建筑的设计建议。

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Double-cropping early rice is an important part of staple crop rice. In recent years, there were prominent problems, such as intensive crops rotation, prominent seasonal contradictions, frequent occurrence of natural disasters. There was an urgent need for new special-early maturing early rice in production. By collecting and identifying excellent special-early maturing germplasm resources, combining traditional breeding and molecular breeding techniques, we aimed to coordinate the relationship between early maturing and high yield, and comprehensively improve rice quality and resistance. A number of new special-early maturing early rice varieties were developed, such as Luzao 301, Luzao 302, Nanlingzao 3, Nanlingzao 4, and the growth period of them were more than 5 d earlier than the control. And the yield ability, disease resistance and rice quality were excellent. This research provided new ideas and impetus for the development of double-cropping early rice. [ABSTRACT FROM AUTHOR]

Copyright of Mechanical & Electronic Control Engineering is the property of Omniscient Pte. 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.)

深度學習是以培養學生高階思維和問題解決能力為核心目標的教學設計理念，與發展學生核心素養的教育觀相吻合。深度學習教學改進研究遵循教學的整體觀，指向學生的核心素養，聚焦學科本質分析和理解學科核心內容。深度學習教學改進的基本要素，包括選擇挑戰性主題、確定指向核心素養的學習目標、設計深度探究的教學活動和持續性的評價。深度學習的實現需要教師創造性的實踐，本研究以小學數學中「小數除法」為例，闡述深度學習教學改進的具體設計與實施。 Deep learning could help achieve the educational goals of nurturing students’ core competencies including cultivating students’ higher-level thinking and problem-solving ability. This paper reports a research on designing primary arithmetic teaching conducive to deep learning. The teaching design takes into consideration of students’ holistic learning outcomes as well as the nature of the subject. It is developed through analysing learning theories on core competencies, the core subject knowledge structure and the key concepts of the subject. The basic elements of the teaching include selecting challenging topics, identifying learning objectives that point to core competencies, and designing inquiry learning activities and continuous evaluation. The realization of deep learning requires the creative practice of teachers. Using the topic of decimal fraction division as an example, this paper shows the concrete design and implementation of the teaching conducive to deep learning.

能源系统的低碳化转型与发展是国际社会应对气候、环境、能源问题的共同解决方案，特别是在全球范围能源行业放松管制的现实背景下，能源系统协同运行和综合优化的效益得到了广泛关注。多能源系统协同运行和多能源市场耦合交易能够挖掘利用不同能源间的互补性和替代性，实现灵活的能源生产、消费、储存、传输，在更大的范围内优化配置资源、消纳可再生能源，推动能源系统的低碳化转型与发展。立足能源市场发展实际，在分析开展多能源市场耦合交易必要性的基础上，总结了近年来多能源市场间交互影响、多能源市场协调运行及联合出清、多能源市场中的交易行为及均衡分析等方面的最新研究进展，提出了进一步研究中面临的关键问题。