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To detect the estrogenic response of vanadium dioxide (VO2) thin film deposited on titanium foil in vitro and to understand the underlying mechanism. A VO2 thin film was deposited on a titanium foil by a magnetron sputtering method and its estrogenic response was tested in E-Screen™ experiment. The content of E2 in culture medium was determined by E-Screen™ and concentrations of ERs expression were detected by Western Blot and immunofluorescence assay. Without testosterone or E2 in culture medium, the E2 concentration in the supernatant of cell culture of the titanium foil was increased 2-fold than that of the blank cell culture. After treatment with E2 and testosterone, the E2 concentration in the supernatant of cell culture decreased significantly. And the estrogen receptor alpha (ERα) and estrogen receptor beta (ERβ) were expressed in the cultured cells of the titanium foil with testosterone and E2 stimulation. The expression of ERα and ERβ was decreased in the sample from the

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AWS: Specific symptoms for this issue include: Your application has an error that prevents the user from signing in. The error message suggests that the login attempt may be resent.

I suggest that you start collecting diagnostic data from your application to troubleshoot issues. You can collect data from your application by using AWS Cloudwatch Logs.

1. For more information about specific diagnostics for a given scenario, you can use the Amazon Redshift query tool to search for errors, along with their corresponding diagnostics. For example, to find the latest errors for your application, start a query such as this:

Finding the source of errors

The query returns all errors that have occurred within the last 24 hours.

You can either search for errors using the query itself or use the query results to filter for errors that contain a particular word or phrase.

If you need to filter the results by different user roles, you can use the User and Role filter parameters to limit the results to particular user identities, and use the Retain parameter to continue to return results even if users are modified or deleted.

The query also returns information about the errors, which includes the user’s identity, the name of the error, and the corresponding diagnostic information.

You can also use the query results to see which users experienced an error and, for the users who were affected, how many times an error occurred.

Analyzing your application’s logs

You can analyze your application’s logs in the Amazon Redshift query tool using a query such as the following:

Examining the error messages returned by this query, you can find logs that contain the string specified in the ErrorCode parameter. For example, to find records related to an HTTP 500 error, you can use this query:

How to run a query against multiple tables

You can run queries against more than one table. In the following example, you can run a query against Amazon Redshift tables with an empty string, or a value
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