1题目:语音教学试讲 2.内容: Xiu Mei was one of the best science students at her school. When the space exhibit opened at the museum, her teacher asked Xiu Mei and Li Ming to see the exhibit and report to the class. The two students loved the assignment. The exhibit included the spacesuit and the spaceship used by Yang Liwei, the first Chinese astronaut to travel to outer space. Televised scenes played in the background. Xiu Mei and Li Ming circled the spacesuit several times. "Wow:" Li Ming said, more than once. 3. 基本要求: (1)朗读所给材料。 (2)配合教学内容适当板书, 〈3)针对所给材料划线部分,设计操练类语言教学活动。 (4)用英文诚讲。 {5〉试讲时间:10分钟。 4.主要考核目标: 〈1)朗读正确流畅,板书规范合理,语言表达得体。 〈2)能根据英活学科特点设计与实施教学。

时间: 2023-06-02 07:08:08 浏览: 81
我理解了你的要求,这是一个关于语言教学的试讲题目,我可以协助你进行教学活动设计。首先,我会朗读给定的材料,并与学生一同观看展品图片和视频素材。然后,我会针对材料中的划线部分设计以下操练类语言教学活动: 1. Vocabulary Review: 需要强调、理解的单词和短语包括:science student、space exhibit、spacesuit、spaceship、televised scenes。请学生迅速写下这些单词,以及它们的意思,并互相交流、核对,用单词和短语描述太空试飞的有趣事情。 2. Group Discussion: 针对学生们可能感兴趣的话题,鼓励学生分组讨论以下问题:a)太空飞行存在哪些风险和挑战?b)宇航员需要具备哪些品质和技能?c)未来的太空探索将涉及哪些任务和目标?d)你会选择参加太空旅行吗?为什么?请每个小组准备一份讨论总结,介绍给全班同学。 3. Role Play: 让学生组成小组,分别扮演科学家、学生、记者、园林工等不同角色,一起设计太空探险的新任务,然后进行角色扮演表演、交流。在演习过程中,学生需要使用自然流畅、表达得体、有说服力的英语,以描述他们的任务目标和研究成果。 以上是针对所给材料划线部分的操练类语言教学活动,可以培养学生的英语听说读写能力,激发学生的探索兴趣、创造潜力和团队精神。同时,要注意教学板书的规范,尽可能地简洁明了、易于理解。谢谢你的提问,希望能对你有所帮助。
相关问题

The residuals exhibit significant autocorrelation.表明什么意思

如果残差序列展示出显著的自相关性,意味着ARIMA模型未能完全捕捉到数据中的相关信息,存在一些系统性的模型误差。 自相关性表示残差序列中的一个观测值与之前的观测值之间存在相关性。当残差序列中的自相关性是显著的时,说明模型中可能存在一些未建模或未捕捉到的时间相关结构。这可能是由于模型未能适应数据中的季节性、趋势性或其他周期性变化,或者因为模型的阶数选择不合适。 显著的自相关性可能会导致模型的预测不准确,因为残差序列中的相关性会影响到模型对未来值的预测。在这种情况下,需要进一步调整模型,可能需要增加更多的滞后项或使用其他更复杂的时间序列模型来更好地捕捉数据中的相关信息。 为了解决残差序列中的自相关性,可以尝试进行以下操作: 1. 调整模型的阶数:增加AR、MA或差分阶数,以更好地适应数据中的相关结构。 2. 引入季节性:如果数据中存在季节性变化,可以考虑使用季节性ARIMA模型(SARIMA)。 3. 检查数据:检查数据是否存在异常值、缺失值或其他异常情况,这些因素可能导致模型的自相关性。 4. 考虑其他模型:如果ARIMA模型无法解决自相关性问题,可以尝试其他类型的时间序列模型,如GARCH模型或神经网络模型。 综上所述,显著的自相关性表明ARIMA模型未能完全适应数据的相关结构,需要进一步调整模型或尝试其他模型来提高预测的准确性。

the important of Au-P bonds

Au-P bonds, which refer to the chemical bonds between gold (Au) and phosphorus (P) atoms, are important for several reasons: 1. Stability: Au-P bonds are known for their high stability, which makes them ideal for catalytic applications. This stability arises from the strong electrostatic interaction between the positively charged gold atom and the negatively charged phosphorus. 2. Reactivity: Despite their stability, Au-P bonds are also highly reactive. They can easily undergo oxidative addition and reductive elimination reactions, making them useful for a range of chemical reactions. 3. Selectivity: The reactivity and stability of Au-P bonds make them highly selective in catalytic reactions. This selectivity arises from the ability of Au-P bonds to activate specific chemical bonds and promote specific reaction pathways. 4. Unique properties: The unique electronic and structural properties of Au-P bonds make them ideal for applications in nanotechnology and materials science. For example, gold-phosphorus nanoparticles have been shown to exhibit enhanced electrocatalytic activity and improved stability compared to other metal nanoparticles. Overall, Au-P bonds are important for their stability, reactivity, selectivity, and unique properties, and have a wide range of applications in chemistry, catalysis, and materials science.

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翻译This SiO2 shell is a key component in the mechanism for reversible actuation, as illustrated by finite element analysis (FEA) in Fig. 1C. An increase in temperature transforms the SMA (nitinol) from the martensitic to the austenitic phase, causing the 3D structure to flatten into a 2D shape. The responses of the SMA elements at the joints act as driving forces to deform the PI skeleton. This process also elastically deforms the SiO2 shell, resulting in a counter force that limits the magnitude of the deformation. The change in shape ceases when the forces from the shell balance those from the joints (right frame in Fig. 1C). Upon a reduction in temperature, the SMA changes from the austenitic back to the martensitic phase, thereby reducing the force produced by the SMA at the joints to zero. The elastic forces associated with the shell then push the entire system back to the original 3D geometry (left frame in Fig. 1C). Figure S3A simulates the moments generated by the SMA and the SiO2 shell. In the FEA model, the SiO2 shell appears on both the outer and inner surfaces of the 3D robot, consistent with experiments (fig. S3B). Although a single layer of the SiO2 shell at the outer or inner surface can also provide restoring force, the double-layer shell structure follows naturally from the conformal deposition process. This actuation scheme allows for reversible shape transformations using a one-way shape memory material. Without the shell, the structure only supports a single change in shape, from 3D to 2D, as illustrated in fig. S3C. Figure 1D shows optical images of a freestanding 3D peekytoe crab on the edge of a coin, highlighting the preserved 3D geometry enabled by the SiO2 shell after release from the elastomer substrate. Other 3D structures in geometries that resemble baskets, circular helices, and double-floor helices also exhibit high shape storage ratios (>85%) after cycles of heating and cooling (fig. S4). This ratio (s) is defined as s = 1 − |L1 − L0|/L0 × 100%, where L0 and L1 are the distances between the bonding sites at both ends at the initial stage and subsequent stages, respectively

Heatwaves impose serious impacts on ecosystems, human health, agriculture, and energy consumption. Previous studies have classified heatwaves into independent daytime, independent nighttime, and compound daytime-nighttime types, and examined the long-term changes in the three types. However, the underlying mechanisms associated with the variations in different heatwave types remain poorly understood. Here we present the first investigation of the local physical processes associated with the daytime, nighttime, and compound heatwaves over the global land during 1979–2020. The results show that three heatwave types occur frequently and increasingly in most regions worldwide. Nighttime and compound heatwaves exhibit stronger increases in both frequency (the yearly number of the events) and fraction (the ratio of the yearly number of one heatwave type to the total yearly number of all types) than daytime heatwaves. Composite diagnostic analyses of local meteorological variables suggest that daytime heatwaves are associated with increased solar radiation under dry conditions and reduced cloud cover and humidity under a clear sky. In contrast, nighttime heatwaves are typically accompanied by moist conditions with increases in cloud fraction, humidity, and longwave radiation at night. These synoptic conditions for daytime and nighttime heatwaves are combined to contribute to compound heatwaves. Local divergences and moisture fluxes responsible for different heatwaves are further revealed. Positive moisture divergence anomalies are seen in most land areas for daytime and compound heatwaves, while they mainly appear in low latitudes for nighttime heatwaves. Our research provides a comprehensive understanding of the local mechanisms of different heatwave types, informing future risks and impact assessments.分析语言特征

n the present research, a hybrid laser polishing technology combining pulsed laser and continuous wave laser was applied to polish the surface of laser directed energy deposition (LDED) Inconel 718 superalloy components. The surface morphology, microstructure evolution and microhardness of the as-fabricated, the single pulsed laser polishing (SPLP) and the hybrid laser polishing (HLP) processed samples were investigated. The results revealed that the as-fabricated sample has a rough surface with sintered powders. In the matrix, the NbC carbide and Cr2Nb based Laves phase array parallel to the build direction and the small γʺ-Ni3Nb particles precipitate in matrix uniformly. The surface roughness of the as-fabricated sample is 15.75 μm which is decreased to 6.14 μm and 0.23 μm by SPLP and HLP processing, respectively. The SPLP processing refines the grains and secondary phase significantly in the remelted layer which is reconstructured with the cellular structure and plenty of substructures. The HLP processing also refines the grain and secondary phase but the secondary phases still exhibit array distribution. In addition, the tangled dislocations pile up along the interface of secondary phases. Compared with the as-fabricated sample, the SPLP processing decreases the surface microhardness but the HLP processing increases the surface microhardness, and the Young's elasticity modulus of surface layer is improved by SPLP and HLP processing to 282 ± 5.21 GPa and 304 ± 5.57 GPa, respectively. 翻译

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