Task: Formula-prediction-context (source dataset: ti-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A                                          | B        | C                   | D             | E   | F   | G   | H   |
|---:|:-------------------------------------------|:---------|:--------------------|:--------------|:----|:----|:----|:----|
| 17 | Full Load Efficiency                       | 0.93     |                     |               |     |     |     |     |
| 18 | Inductor (LOUT) Switching Frequency        |          | 200.0               |               | kHz |     |     |     |
| 19 |                                            |          |                     |               |     |     |     |     |
| 20 | Selecting Power Transformer (T1)           |          |                     |               |     |     |     |     |
| 21 | Description                                | Variable |                     | Unit          |     |     |     |     |
| 22 | Set Initial Power Budget                   | PBUDGET  | 150.53763440860206  | W             |     |     |     |     |
| 23 | Estimated FET Voltage Drop                 | VRDSON   | 0.3                 | V             |     |     |     |     |
| 24 | Maximum Duty Cycle Nominal                 | DMAX     | 0.7                 |               |     |     |     |     |
| 25 | T1 Transformer Turns Ratio=NP/NS           | a1       | 1.8929436920883818  |               |     |     |     |     |
| 26 | Select Transformer Turns Ratio             | a1       | 1.8929436920883818  |               |     |     |     |     |
| 27 | Typical Duty Cycle                         | DTYP     | 0.6682939104177151  | [Target Cell] |     |     |     |     |
| 28 | Inductor Ripple Current                    | ΔILOUT   | 2.857142857142857   | A             |     |     |     |     |
| 29 | T1 Primary Magnetizing Inductance > or =   | LMAG     | 0.8746660232136111  | mH            |     |     |     |     |
| 30 | Please Refer to Figure of T1 Current       | IPS      | 15.714285714285715  | A             |     |     |     |     |
| 31 | Please Refer to Figure of T1 Current       | IMS      | 12.857142857142858  | A             |     |     |     |     |
| 32 | Please Refer to Figure of T1 Current       | IMS2     | 14.285714285714286  | A             |     |     |     |     |
| 33 | Partial RMS Current                        | ISRMS1   | 8.465616732800196   | A             |     |     |     |     |
| 34 | Partial RMS Current                        | ISRMS2   | 5.811670173373713   | A             |     |     |     |     |
| 35 | Partial RMS Current                        | ISRMS3   | 0.31943828249996997 | A             |     |     |     |     |
| 36 | Calculate T1 Secondary RMS Current (ISRMS) | ISRMS    | 10.273471549922881  | A             |     |     |     |     |
| 37 | Primary Magnetizing Current Based on LMAG  | ΔILMAG   | 1.5205803869155063  | A             |     |     |     |     |



min_row: 17
max_row: 37
min_col: 1
max_col: 8
target_cell_row_idx: 27
target_cell_col_idx: 4
target_cell_value: None
formula: =IF(dtyp>1,"Turns Ratio a1 in Error, Pleast Adjust","")