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.

Context-Aware Rate-Adaptive Beaconing for Efficient and Scalable Vehicular Safety Communication

Vehicular safety applications, such as cooperative collision warning systems, rely on beaconing to provide situational awareness that is needed to predict and therefore to avoid possible collisions. Beaconing is the continual exchange of vehicle motion-state information, such as position, speed, and heading, which enables each vehicle to track its neighboring vehicles in real time. This work presents a context-aware adaptive beaconing scheme that dynamically adapts the beaconing repetition rate based on an estimated channel load and the danger severity of the interactions among vehicles. The safety, efficiency, and scalability of the new scheme is evaluated by simulating vehicle collisions caused by inattentive drivers under various road traffic densities. Simulation results show that the new scheme is more efficient and scalable, and is able to improve safety better than the existing non-adaptive and adaptive rate schemes.

Context-Aware Using Carrier Phase for Adaptive MEMS IMU / GNSS Filtering in Deep Urban Navigation

Context-aware is becoming standard on the most mobile navigation devices. The performance of MEMS IMU/GNSS gains significant benefits from context information in terms of improvement of filter＇ s adaptive capability. A context-aware algorithm using differential carrier phase was proposed to recognize a molile MEMS IMU/GNSS equipped vehicle＇ s stationary, slow moving or fast moving status. The corresponding context error in awarding was analyzed and consequently conducted two fading factors based on the analysis The factors were applied in the system＇ s adaptive filter with targeting applications in deep urban where severe multipath presents. The dense urban field test shows that the false alarm of proposed context-aware algorithm is less than 5% and the adaptive filtering can achieve around 15% improvement in terms of lo in two-dimension position accuracy.

Understanding Requirement Engineering for Context-Aware Service-Based Applications

Requirements of software systems tend to change over time. The speed of this tendency depends on the application domain the software system under consideration belongs to. If we consider novel contexts such as pervasive systems and systems supporting dynamic B2B interaction, requirements change so fast that the research community is studying how to build systems that are able to self-adapt on the fly to some of these changes. When this happens, the system does not need to undergo through a new development cycle thus increasing its availability and, to a certain extent, its robustness. So far, the research in the area of self-adaptive systems has been focusing on the definition of the mechanisms for supporting self-adaptation. We argue that what is missing now is a structured and robust design process associated to these mechanisms. This design process should include a Requirement Engineering (RE) phase that somewhat differs from the traditional one. However, the identification of requirements for adaptation requires a good knowledge of the context in which the system will be executed. In this work, we consider the modeling of such context as part of the RE phase and we particularly focus on Service-Based Applications (SBAs). We argue that RE activities should be supported at run-time to handle context changes and to support adaptation for SBAs. We survey the state of the art for what concerns the elicitation, modeling, and analysis of requirements and will highlight some issues and challenges in order to support adaptation for SBAs.

Adaptive Mobile Applications to Dynamic Context

Context-aware computing is a mobile computing paradigm in which applications can discover and take advantage of contextual information, such as user location, time of the day, nearby people and devices, and user activity. This paper intends to study the context-awareness in depth and demonstrate the usefulness of this new technology through two mobile applications that are adaptive to dynamic context.

Approach to Model-Based Development of Context-Aware Application

In order to address challenges posed by advances in mobile computing, ubiquitous devices software engineering, wireless and sensor technologies in many applications running, this paper provides an approach that simplifies the design and the implementation of context-aware Interactive systems called CAISDA (Context-Aware Interactive System Development Approach). This approach is based on the analysis and synthesis of context-aware frameworks proposed in literature.

Adaptive Optics System and Its Application Predictions at 1.2m Telescope of Yunnan Observatory

A 61 element adaptive optical system has been preliminary tested in the Coudé path of the 1 2m telescope at the Yunnan observatory this year. The whole system will be fully operated next year. This paper describes the AO system performances and its first experiment results, and the possible astronomical research topics.

Adaptive Controller Placement in Software Defined Wireless Networks

Controller placement problem(CPP)is a critical issue in software defined wireless networks(SDWN).Due to the limited power of wireless devices,CPP is facing the challenge of energy efficiency in SDWN.Nevertheless,the related research on CPP in SDWN hasn’t modeled the energy consumption of controllers so far.To prolong the lifetime of SDWN and improve the practicability of research,we rebuilt a CPP model considering the minimal transmitted power of controllers.An adaptive controller placement algorithm(ACPA)is proposed with the following two stages.First,data field method is adopted to determine sub-networks for different network topologies.Second,for each sub-network we adopt an exhaustive method to find the optimal location which meets the minimal average transmitted power to place controller.Compared with the other algorithms,the effectiveness and efficiency of the proposed scheme are validated through simulation.

Adaptability and Application of Australian Merino Sheep in the Alpine Pastoral Areas

[Objective] The paper was to study the adaptability of Australian Merino sheep in the alpine pastoral areas. [Method]Through introduction of Australian Merino sheep for hybridizing with Gansu alpine fine wool sheep,the improvement effect of offspring was observed. [Result]The introduced Australian Merino sheep had good adaptability in the alpine pastoral areas with good hair quality,strong cold resistance and disease resistance,and they could grow and reproduce healthily in the alpine pastoral areas. The application effect of the ram was outstanding,showing large breeding amount,high conception rate and survival rate.[Conclusion]The improvement effect of offspring of Australian Merino sheep and Gansu alpine fine wool sheep was significant,and the growth performance was improved greatly.

多策略融合的蛇优化算法及其应用

针对蛇算法寻优阶段交互性差,初始种群随机程度严重,易陷入局部最优解等问题,提出了一种多策略融合的蛇优化算法(multi-strategy snake optimizer, MSSO)。首先,利用正交矩阵对蛇种群进行初始化,使个体分布更加均匀;其次,设计探索开发阶段切换的自适应方程,用以替换原有的食物量与温度阈值,使算法进行自适应阶段切换;最后,使用联合反向选择策略替换算法原有的新个体孵化方法,提高算法收敛精度的同时加快算法收敛效率。选取10个基准测试函数从不同角度对MSSO算法进行实验,测试算法性能,分析各策略的有效性,并使用Wilcoxon秩和检验来证明算法显著性,通过两个工程应用仿真实验来验证MSSO的实用性。各实验结果表明MSSO较比较算法综合表现更优,证明MSSO算法改进在寻优能力、鲁棒性、实用性等方面均有所提升。

地方本科院校应用型课程混合式教学设计与实践——以《运动训练学》为例

地方本科院校应用型课程混合式教学强调课程的应用性和适应性,以行动的逻辑构建教学体系,以学生为中心设计学习活动,以适应课程、教师、学生的实际需要,实现现代教育技术与课程教学相互融合的深度学习。对地方本科院校体育专业《运动训练学》课程进行应用性改造,设计“五位一体”的课程教学体系,使课程教学适应体育应用型人才培养的要求,并在教学实践中得到较好的应用。运动训练学混合式教学设计与实践,可为同类型应用型课程的教学改革提供一定参考和借鉴。

内河航道事故黑点识别自适应参数DBSCAN聚类算法研究

内河水上交通事故时有发生,对水路运输安全、高效发展带来威胁。研究提出一种基于自适应参数的DBSCAN(Density-Based Spatial Clustering of Applications with Noise)方法,用于识别内河事故黑点水域。该方法支持对邻域半径ε和邻域中数据对象数目阈值P_(min)参数的自动选取,可提高聚类分析的精度和效率。基于2010—2019年长江干线下游散货船舶事故数据开展案例研究,对各典型事故黑点段的事故特征和事故原因进行分析,得到8个事故黑点。此外,采用Getis-Ord General G聚类识别事故黑点中的高等级事故区域,得到事故黑点及高等级事故主要分布于江心洲、桥区、港口码头区域。研究结果与实际情况基本吻合,一定程度上表明了该方法在内河水上交通事故分布特征分析上的科学性和实用性。

脉冲功率电源空间环境适应性研究及验证

脉冲功率电源已广泛应用于科研、医疗、工业等众多领域,但在航天空间领域仍缺少应用先例。针对脉冲功率电源未经历过上天应用,其空间环境适应性缺乏验证问题,以影响脉冲功率电源关键指标却又未经历过上天验证的高压电容器、调波电感、晶闸管等核心器件为研究重点,开展了核心器件的高真空、强辐射、温度交变等主要空间环境的地面模拟试验。试验结果表明脉冲功率电源具有良好的空间环境适应性,为以后的脉冲功率电源的空间应用打下了坚实基础,填补脉冲功率电源空间应用的空白。

医患沟通技能教育在儿科实习带教中的应用效果

目的 分析医患沟通技能教育在儿科实习带教中的应用效果。方法 选取2021年1-12月滨州医学院附属医院的60名儿科实习生作为研究对象,依据随机数字表法分为对照组与观察组,各30名。对照组采用常规带教,观察组采用医患沟通技能教育。比较2组的带教总满意度、应变能力、综合能力、医患纠纷事件总发生率。结果 观察组的带教总满意度为100%,高于对照组的80.00%,差异有统计学意义(P <0.05);观察组实习生应变能力中的岗位职责[(94.67±2.12)分]、共情能力[(81.59±2.82)分]、心理辅导能力[(92.12±3.07)分]、应急能力[(90.10±2.82)分]评分均高于对照组[(84.53±2.38)分、(61.62±4.31)分、(76.27±2.84)分、(72.84±3.63)分],差异有统计学意义(P <0.001);观察组实习生综合能力中的理论知识[(93.58±3.12)分]、病情汇报[(92.52±2.84)分]、操作技能[(95.31±2.83)分]、查房护理[(95.52±2.12)分]评分均高于对照组[(85.37±2.89)分、(80.17±2.76)分、(83.57±1.69)分、(81.39±2.70)分],差异有统计学意义(P <0.001);观察组的医患纠纷事件总发生率为6.67%,低于对照组的33.33%,差异有统计学意义(P <0.05)。结论 在儿科带教中实施医患沟通技能教育能够提升实习生的教学满意度、应变能力以及综合能力。

“第二个结合”:马克思主义“实际运用”的历史性飞跃

马克思主义指导实践发展的成效,既在于其真理性,更在于不同条件下的“实际运用”。马克思主义的“实际运用”,通过不同历史条件下的具体“实现形式”来实现。“两个结合”特别是“第二个结合”,找到了进一步探索马克思主义“实现形式”的基因密码,给出了马克思主义与中华优秀传统文化“相互成就”的“实现形式”,提供了进一步探索“实现形式”的科学方法,实现了马克思主义“实际运用”的历史性飞跃。在新时代不断探索“第二个结合”的“实现形式”,就必须增强推进马克思主义与中华优秀传统文化“结合”的认知自觉和责任担当,科学把握“结合”的内容和方法,高度重视“结合”的质量和成效,提升推进“结合”的能力和本领。

激光选区熔化适配型铝合金的研究及应用现状

使用激光选区熔化(Selective laser melting,SLM)技术制备的铝合金构件具有形状复杂、晶粒细小、力学性能优异等特点,在航天航空、轨道交通等领域有着广泛应用。然而,目前可用于SLM成形的铝合金材料仍面临着可打印种类有限、成形过程易产生冶金缺陷等问题,严重制约了SLM高性能铝合金的发展。本文基于承力构件的实际需求,综述了目前适配于SLM技术的铸造铝合金、稀土改性铝合金及铝基复合材料的研究现状,重点从适用于SLM技术的材料设计角度出发,概述所制备材料的独特微观组织及力学性能,并就SLM铝合金部件的国内外应用现状进行总结,点出现阶段SLM铝合金原材料仍多采用传统铸造材料为主的局限性,适于SLM技术的新材料、新产品在标准化以及规模化等方面仍需进一步细化和拓展。

先进移动式热管小堆特征及应用研究

在“双碳”的时代背景下,核能作为低碳清洁能源得到了全球的重视,移动式热管小堆在能源系统转型中起着重要作用。通过研究移动式热管小堆,文章发现其具有灵活性强、经济性高和适应性好等特点,具有较高的非能动安全性、固有安全性和系统可靠性。正因为具备这些特点,移动式热管小堆在空间、深海、电力、工业等应用领域都发挥着重要作用。

柔性光伏支架系统应用现状及前景浅析

通过资料收集和市场调研,对柔性光伏支架系统的组成、结构特点、适用条件进行了研究、总结,阐述了柔性光伏支架系统相较常规固定光伏支架系统的优势及目前存在的不足,对柔性光伏支架系统现阶段的应运场景进行了调研,分析了柔性光伏支架系统在实际工程中的应用现状,提出了柔性光伏支架未来在工程中可能的应用趋势,供今后相关工程参考。

适应性训练理论在田径运动员训练中的应用

随着科技与运动科学的进步,个性化、科学化的训练需求日益凸显。田径运动员常面临技术瓶颈、环境适应性差及心理承受力不足等挑战。在此背景下,适应性训练理论以其核心的个性化设计、动态调整机制及全面能力培养策略,成为提升运动员表现的关键。基于此,简要分析其在田径运动员训练中的应用意义,并重点探究该理论在优化训练计划、增强环境与竞赛适应性、促进心理韧性建设及科学管理伤病风险等方面的应用策略,旨在为田径训练提供一套更为高效、安全的指导框架,助力运动员在复杂多变的比赛环境中保持最佳状态,实现竞技水平的持续提升。

适宜兰州地区栽培的绣线菊特征特性及其园林应用

绣线菊具有观赏价值高、适应性强、易栽培管理等特点,是理想的优良观花灌木。通过考察比较,从河北引进了金山绣线菊、金焰绣线菊珍珠绣线菊、土庄绣线菊、三裂叶绣线菊、粉花绣线菊和绣线菊等7种绣线菊在兰州地区栽培,观察了其形态特征和生长习性,并总结了适宜兰州地区应用的绣线菊栽培技术和园林应用方式,以期为绣线菊在兰州地区的推广应用提供参考。