The optimization process and recommendations:

1. Avoid Calling Functions With Indexed Columns (query line: 15): When a function is used directly on an indexed column, the database's optimizer won’t be able to use the index. For example, if the column `seconds` is indexed, the index won’t be used as it’s wrapped with the function `abs`. If you can’t find an alternative condition that won’t use a function call, a possible solution is to store the required value in a new indexed column.
2. Avoid Correlated Subqueries (query line: 9): A correlated subquery is a subquery that contains a reference (column: seconds) to a table that also appears in the outer query. Usually correlated queries can be rewritten with a join clause, which is the best practice. The database optimizer handles joins much better than correlated subqueries. Therefore, rephrasing the query with a join will allow the optimizer to use the most efficient execution plan for the query.
3. Avoid Selecting Unnecessary Columns (query line: 2): Avoid selecting all columns with the '*' wildcard, unless you intend to use them all. Selecting redundant columns may result in unnecessary performance degradation.
4. Create Optimal Indexes (modified query below): The recommended indexes are an integral part of this optimization effort and should be created before testing the execution duration of the optimized query.

Optimal indexes for this query:

ALTER TABLE `entries` ADD INDEX `entries_idx_status` (`status`);

The optimized query:

SELECT
        * 
    FROM
        entries e0 
    WHERE
        e0.status = 1 
        OR e0.status = 0 
        AND 0 < (
            SELECT
                count(*) 
            FROM
                entries e1 
            WHERE
                e1.status = 1 
                AND abs(e1.seconds - e0.seconds) < 10
        )