HTML_CSS_TUT Telegram 707
16. <img>: Defines an image.

17. <ul>: Defines an unordered list.

18. <ol>: Defines an ordered list.

19. <li>: Defines a list item.

20. <table>: Defines a table.

21. <tr>: Defines a table row.

22. <td>: Defines a table cell.

23. <form>: Defines a form for user input.

24. <input>: Defines an input field.

25. <label>: Defines a label for an input field.

26. <select>: Defines a drop-down list.

27. <option>: Defines an option in a drop-down list.

28. <textarea>: Defines a multi-line input field.

29. <button>: Defines a clickable button.

30. <audio>: Defines an audio file.
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16. <img>: Defines an image.

17. <ul>: Defines an unordered list.

18. <ol>: Defines an ordered list.

19. <li>: Defines a list item.

20. <table>: Defines a table.

21. <tr>: Defines a table row.

22. <td>: Defines a table cell.

23. <form>: Defines a form for user input.

24. <input>: Defines an input field.

25. <label>: Defines a label for an input field.

26. <select>: Defines a drop-down list.

27. <option>: Defines an option in a drop-down list.

28. <textarea>: Defines a multi-line input field.

29. <button>: Defines a clickable button.

30. <audio>: Defines an audio file.
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With the sharp downturn in the crypto market, yelling has become a coping mechanism for many crypto traders. This screaming therapy became popular after the surge of Goblintown Ethereum NFTs at the end of May or early June. Here, holders made incoherent groaning sounds in late-night Twitter spaces. They also role-played as urine-loving Goblin creatures. With Bitcoin down 30% in the past week, some crypto traders have taken to Telegram to “voice” their feelings. The visual aspect of channels is very critical. In fact, design is the first thing that a potential subscriber pays attention to, even though unconsciously. Matt Hussey, editorial director of NEAR Protocol (and former editor-in-chief of Decrypt) responded to the news of the Telegram group with “#meIRL.” Among the requests, the Brazilian electoral Court wanted to know if they could obtain data on the origins of malicious content posted on the platform. According to the TSE, this would enable the authorities to track false content and identify the user responsible for publishing it in the first place.
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