Few changes

Author: SeqLaz

documentation/get-started/tutorials/advanced-setup-qfc.en.md

@@ -16,7 +16,7 @@ When working with QFieldCloud it is important that you understand the synchroniz
 You can find the technical details on the different job types in the [technical documentation section](../../reference/qfieldcloud/jobs.md).
 In simple words, there exist three different synchronization activities:
 
-- **From QGIS to QFieldCloud**:This synchronization process uploads a complete new "project package" and replaces the existing one stored in the cloud.
+- **From QGIS to QFieldCloud**: This synchronization process uploads a complete new "project package" and replaces the existing one stored in the cloud.
 If you are working with GeoPackages it is important to note, that the existing GeoPackage on the cloud will be replaced with the one you have just uploaded.
 - **From QFieldCloud to QField**: If you want to download the uploaded "project package" to your mobile device, QFieldCloud "packages" the project into a specific format that is saved in the internal application folder structure.
 Important to know here is that in case you are working with PostgreSQL databases and have chosen the [working mode](#working-modes) *offline editing* then a local GeoPackage of the data will be created in the corresponding folder.
@@ -38,7 +38,7 @@ Unlike in the synchronization process from QGIS to QFieldCloud, the whole GeoPac
     If you must work parallel on Desktop, make sure to check the QFieldCloud status and download the most recent data before uploading a new package.
     2. <ins>Do not change the data structure before synchronizing the latest field edits</ins>.
     Often, officers work in QGIS and adapt the data structure of the project files, which leads to errors if the changes from QField have not yet been pushed to QFieldCloud.
-    3. <>Use uuid's as primary keys, especially when working with relations and in teams.</ins>
+    3. <ins>Use uuid's as primary keys, especially when working with relations and in teams.</ins>
     Synchronization often occur due to the lack of adding primary keys to your datasets.
     Especially, when working with relationships and in teams, if the data were not configured with an according primary key, it may happen that data loss occurs because of simultaneous editing of the data.