革命历史题材剧对相关红色旅游景点网络关注度的影响研究——以《觉醒年代》为例

革命历史题材剧在促进大众情感认知和文化认同、激发旅游需求、增强红色旅游景点吸引力等方面发挥着重要作用.该文以重大革命历史题材剧《觉醒年代》为例,以2020—2021年相关红色旅游景点百度指数为数据基础,采用赫芬达尔指数、空间自相关、回归分析等方法探讨革命历史题材剧对其相关红色景点网络关注度时空特征的影响.研究发现：1) 《觉醒时代》播出后,相关红色景点网络关注度与播出前同期水平相比显著增加,且非知名景点的增长幅度大于知名景点;年内均衡程度变动较小,年内分布趋势呈现倒“U”型分布;2) 《觉醒时代》播出后,相关红色景点网络关注度空间集聚程度提升,冷热点空间格局较为稳定,呈现胡焕庸线分割特征,热点区主要集聚在长江中游城市群及邻近区域;延乔路、龙华烈士陵园、毛泽东故居网络关注度的空间响应较为明显;长江中游城市群网络关注度的提升较为显著;3) 《觉醒年代》相关联旅游景点的平均每日互联网关注度与电视剧的受欢迎程度呈正相关.     

Boost PFC变换器快时标分岔分析及其双积分滑模控制

为了分析峰值电流型Boost PFC(power factor correction)在快时标下的非线性现象,建立Boost PFC变换器的离散迭代映射,并基于此映射推导其状态转移矩阵的表达式,得到系统分岔的条件,通过仿真观察系统电感电流在输入电压周期内出现的间歇性分岔和混沌现象.为了避免分岔,使系统稳定工作在单周期态,采用双积分滑模的控制方法.仿真结果表明:与常规的斜坡补偿法相比,双积分滑模法不需要施加外部扰动,且具有良好的鲁棒性,在有效地避免因输入电压变化所产生的分岔现象的同时,让Boost PFC具有较高的功率因数(PF),且算法简单,易于实现,对PFC变换器的分岔控制提供了借鉴.     

小型自适应翻转攀爬机器人的设计与实现

为解决高空作业的危险性问题,设计并实现了一种小型自适应翻转攀爬机器人。机器人由5 个连杆和4 个关节组成,通过加速度传感器获取关键连杆的位置,并按照设定距离实现跨步、翻转动作。提出了翻转机器人的翻转控制算法,并利用PID( Proportional-Integral-Derivative) 闭环控制算法提高翻转机器人的攀爬动作精度。通过实验可知,翻转机器人的单次跨步平均耗时为29 s,跨步距离最大相对误差为4． 5%,平均相对误差为2． 1%,最大负重3． 79 kg,可实现稳定的连续攀爬。     

Pricing credit spread option with Longstaff-Schwartz and GARCH models in Chinese bond market

This paper investigates the mean-reversion and volatile of credit spread time series by using regression and time series analysis in Chinese bond market. Then the Longstaff-Schwartz model and GARCH model are applied to price credit spread put option. The authors compare the features of these two models by employing daily bond prices of government bonds and corporate bonds for the period 2010–2012 in Chinese bond market. The proposed results show that the higher the credit ratings of the corporate bonds are, the lower the prices of the credit spread options are.     

Understanding the limits to generalizability of experimental evolutionary models

Given the difficulty of testing evolutionary and ecological theory in situ, in vitro model systems are attractive alternatives; however, can we appraise whether an experimental result is particular to the in vitro model, and, if so, characterize the systems likely to behave differently and understand why? Here we examine these issues using the relationship between phenotypic diversity and resource input in the T7-Escherichia coli co-evolving system as a case history. We establish a mathematical model of this interaction, framed as one instance of a super-class of host-parasite co-evolutionary models, and show that it captures experimental results. By tuning this model, we then ask how diversity as a function of resource input could behave for alternative co-evolving partners (for example, E. coli with lambda bacteriophages). In contrast to populations lacking bacteriophages, variation in diversity with differences in resources is always found for co-evolving populations, supporting the geographic mosaic theory of co-evolution. The form of this variation is not, however, universal. Details of infectivity are pivotal: in T7-E. coli with a modified gene-for-gene interaction, diversity is low at high resource input, whereas, for matching-allele interactions, maximal diversity is found at high resource input. A combination of in vitro systems and appropriately configured mathematical models is an effective means to isolate results particular to the in vitro system, to characterize systems likely to behave differently and to understand the biology underpinning those alternatives.     

Robust trading rule selection and forecasting accuracy

Trading rules performing well on a given data set seldom lead to promising out-of-sample results, a problem which is a consequence of the in-sample data snooping bias. Efforts to justify the selection of trading rules by assessing the out-of-sample performance will not really remedy this predica- ment either, because they are prone to be trapped in what is known as the out-of-sample data-snooping bias. Our approach to curb the data-snooping bias consists of constructing a framework for trading rule selection using a-priori robustness strategies, where robustness is gauged on the basis of time- series bootstrap and multi-objective criteria. This approach focuses thus on building robustness into the process of trading rule selection at an early stage, rather than on an ex-post assessment of trading rule fitness. Intra-day FX market data constitute the empirical basis of the proposed investigations. Trading rules are selected from a wide universe created by evolutionary computation tools. The authors show evidence of the benefit of this approach in terms of indirect forecasting accuracy when investing in FX markets.     

Expectations,use and judgmental adjustment of external financial and economic forecasts: an empirical investigation

A survey of 124 users of externally produced financial and economic forecasts in Turkey investigated their expectations and perceptions of forecast quality and their reasons for judgmentally adjusting forecasts. Expectations and quality perceptions mainly related to the timeliness of forecasts, the provision of a clear justifiable rationale and accuracy. Cost was less important. Forecasts were frequently adjusted when they lacked a justifiable explanation, when the user felt they could integrate their knowledge into the forecast, or where the user perceived a need to take responsibility for the forecast. Forecasts were less frequently adjusted when they came from a well‐known source and were based on sound explanations and assumptions. The presence of feedback on accuracy reduced the influence of these factors. The seniority and experience of users had little effect on their attitudes or propensity to make adjustments. Copyright © 2008 John Wiley & Sons, Ltd.     

Solid-particle erosion behavior of cast alloys used in the mining industry

The erosive-wear response of five commercial ferrous-based cast alloys used for crushing was examined in this study. The micro-structures of the alloys were modified to elucidate the effect of microstructural features on wear. Erosion tests were conducted using alumi-num oxide particles (90–125 μm) at 70 m/s and a normal impact angle (90°). The worn surfaces were characterized by scanning electron mi-croscopy and 3D non-contact laser profilometry. It is found that (i) a pearlitic structure exhibiting a greater plastic deformation than both bainitic and martensitic structures shows the greatest resistance to erosive wear at normal impact and (ii) the fracture characteristics of car-bide and graphite particles plays an important role in determining the erosion wear behavior of the cast alloy matrices.     

破解非晶结构之谜：连接非晶态和晶态的中程序结构单元

非晶态结构本质一直是凝聚态物理和材料科学中最有趣和最基本的问题之一。非晶合金因其简单的金属键结合及密堆积结构而成为研究非晶物理的理想材料模型。研究发现，非晶中存在着不同尺度的局域有序结构，其中5~20 埃米尺度范围对应中程序。近来研究揭示其在非晶合金的相变和形变过程中发挥了越来越关键的作用。现有的理论或者实验结果难以确定非晶态材料与其对应的晶态材料间是否存在中程或更大尺度范围的结构联系，同时现有的表征手段难以精确解析其短程到中 程尺度有序结构，导致中程序结构解析问题十分复杂。最近在经典大块非晶合金体系钯-镍-磷中通过对一种独特的亚稳立方 中间相进行解析，发现了一种桥接非晶态与晶态的手性中程序结构基元六元三帽三棱柱(6M-TTP)。该结构的短程序团簇以 一种奇特的手性结构构成约12.5埃米的中程序结构基元，其在铸态为长程无序堆积，而在一定温度可以转变成有序堆积的亚稳立方相。中程序结构的捕获和解析为揭示非晶态结构本质提供了新的结构模型，并且对非晶合金亚稳态中间相的析出动力学规律提出了新的解释。这些发现将有助于阐明非晶合金在中程序以及更大尺度上的结构排列，为解析非晶态的结构本质提供新的思路。