The generated electrons are transferred to the gate and flow through the gate external circuit while the generated protons (cations) are forced to diffuse from the gate, through the electrolyte and eventually into the channel by the electric field caused by the gate voltage, inducing a further de-doping of the channel (Figure S2c). [15a,16a,16b] Therefore, the additions of glucose result in decreases in the channel current (Figure 2a and S3a). According to the Bernards model and the Nernst equation, the channel current is modulated by Reaction (2) and thus sensitive to the concentration of glucose in PBS solution (See the working mechanism of OECT-based biosensors in the SI).
时间: 2024-03-07 11:51:57 浏览: 16
产生的电子被转移到栅极并通过栅外电路流动,而产生的质子(阳离子)被迫通过栅电压引起的电场从栅极扩散,通过电解质最终进入通道,诱导通道的进一步去掺杂(图S2c)。因此,葡萄糖的加入导致通道电流下降(图2a和S3a)。根据Bernards模型和Nernst方程,通道电流受到反应(2)的调制,因此对PBS溶液中葡萄糖浓度敏感(请参见SI中基于OECT的生物传感器的工作机制)。
相关问题
check the manual that corresponds to your MySQL server version for the right syntax to use near 'generated by default as identity,
You encountered an error message related to the syntax of a MySQL query. The specific error you mentioned is related to the "generated by default as identity" part.
In MySQL, the syntax "generated by default as identity" is not valid. This syntax is typically used in other database systems like PostgreSQL or Oracle.
In MySQL, if you want to create an auto-increment column, you can use the "AUTO_INCREMENT" attribute. Here's an example of how to create a table with an auto-increment primary key column:
```sql
CREATE TABLE your_table (
id INT AUTO_INCREMENT PRIMARY KEY,
-- other columns...
);
```
This will create a table with an "id" column that automatically increments for each new record inserted.
Please note that the specific syntax may vary depending on your MySQL server version. I recommend referring to the MySQL manual corresponding to your server version for accurate and up-to-date information.
解释一下这段话The response maps are generated by the convolution between the learned filter and the vector- ized feature map of the sample.
这段话是在描述一个算法或方法中的一个步骤,下面做详细解释:
1. "Response maps":这是算法或方法中的一个输出结果,通常是一个二维矩阵,每个元素代表一个图像区域的响应值。响应值是由特征图和卷积滤波器相乘得到的结果。
2. "Convolution":这是卷积运算,是一种在信号处理和图像处理中经常使用的运算。卷积操作可以理解为对两个函数进行加权平均的过程,其中一个函数是输入的原始数据,另一个函数是卷积核(也叫滤波器),表示为w。卷积操作将滤波器与输入数据的不同部分进行乘积并相加,从而生成响应值。
3. "Learned filter":这是卷积运算中的一个参数,是由算法或方法自动学习得到的。它通常是一个二维矩阵,每个元素代表滤波器在不同位置的权重值。在卷积运算中,滤波器会在特征图上滑动,与每个图像区域进行卷积运算,从而生成响应值。
4. "Vectorized feature map":这是特征图的一种表示方式,表示成一个一维向量。特征图是一个二维的矩阵,每个元素代表一个图像区域的某个特征值。向量化是将特征图中的所有元素按照行或列顺序排成一个一维向量。
综上所述,这段话的意思是,响应图是通过学习滤波器和样本的向量化特征图之间的卷积运算得到的。在卷积运算中,滤波器在特征图上滑动,与每个图像区域进行卷积运算,从而生成响应值。最终得到的响应图是一个二维矩阵,每个元素代表一个图像区域的响应值。