ChooseJoinModal.js

数独游戏的Csharp源代码，很不错的，可以不注册下载(Sudoku game Csharp source code, very good, they do not register to download)

对数据进行分段fft分析，最后进行平均，功能类似FFT的平滑处理。(The data are analyzed by segmented fft and eventually averaged. The function is similar to that of FFT smoothing.)

12864滚动显示汉字,驱动芯片是ST7920

显现python模块属性和方法的小工具，用python开发(show python method and attribute)

control biometrico zk

3389远程工具，一个远程管理源码，可参照修改，比如密码加密码(3389 remote tool, a remote management source, reference modification, such as password plus password)

说明：  利用现有的网络结构信息来训练神经网络，从而得到网络嵌入结果。(The existing network structure information is used to train the neural network, and the result of network embedding is obtained.)

下垂控制就是选择与传统发电机相似的频率一次下垂特性曲线（Droop Character）作为微源的控制方式，即分别通过P/f下垂控制和Q/V下垂控制来获取稳定的频率和电压，这种控制方法对微网中的微源输出的有功功率和无功功率分别进行控制，无需机组间的通信协调，实现了微源即插即用和对等控制的目标，保证了孤岛下微电网内电力平衡和频率的统一，具有简单可靠的特点(Droop control is to choose Droop Character, which is similar to the traditional generator, as the control mode of micro-source, that is, to obtain stable frequency and voltage through P/f droop control and Q/V droop control respectively. This control method controls active power and reactive power of micro-source output in micro-grid separately, without communication coordination between units. The goal of micro-source plug-and-play and peer-to-peer control is realized, which ensures the unification of power balance and frequency in the micro-grid under isolated islands, and has the characteristics of simplicity and reliability.)

matlab生成dll方法的心得体会(Experience of generating DLL by MATLAB)

双重差分估计 双重差分模型（difference-in-difference，DID）近年来多用于计量经济学中对于公共政策或项目实施效果 的定量评估。 通常大范围的公共政策有别于普通科研性研究，难以保证对于政策实施组和对照组在样本分配上的完全随机。非随机分配政策实施组和对照组的试验称为自然试验（naturaltrial），此类试验存在较显著的特点，即不同组间样本在政策实施前可能存在事前差异，仅通过单一前后对比或横向对比的分析方法会忽略这种差异，继而导致对政策实施效果的有偏估计。(Quantitative evaluation of policy or project implementation effect. Generally, a wide range of public policies is different from general scientific research, and it is difficult to ensure that the sample allocation for the policy implementation group and the control group is completely random. The non-randomly assigned policy implementation group and the control group are called natural trials, which have significant characteristics, i.e. there may be prior differences between the different groups of samples before the implementation of the policy, and this difference will be ignored only through a single pre-and post-comparison or horizontal comparison analysis method, which leads to the policy. Biased estimation of implementation)