type: EXE. Description: Panda.AntiSpy. AntiVir. Panda.Virus.10.Update.Fix.Serial.Number. No.Keygen. No.6.8.2013.p0v3.EXE. HijackThis log is created

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Virus.Boxer. AntiSpy.Panda.AntiVir.Panda.Virus.10.Update.Fix.Serial.Number.No.Keygen.No.6.8.2013.p0v3.exe. Time: 00:00:02. File size: 4.62MB. File type: EXE. Description: Panda.AntiSpy. AntiVir. Panda.Virus.10.Update.Fix.Serial.Number. No.Keygen. No.6.8.2013.p0v3.EXE. HijackThis log is created by the HijackThis utility and saved to the registry. Application ID: 0x735. Please submit your feedback by pressing the "Report problem" button in the bottom corner of the software. Please note that this log is saved only once and does not need to be submitted at each startup. This log will help us resolve the problem for you by providing relevant information. You may use the following link to submit the feedback. Pdf Redirect Pro V2 5 2 Crack 12 V1.2, Crack + Keygen.Q: MongoDB group by with distinct criteria I have a mongodb collection like below. [ { "_id": ObjectId("4eafb2835b0074ff80147a3d"), "name": "sample", "dynamics": "sample@email.com", "type": "profile" }, { "_id": ObjectId("4eafb2835b0074ff80147a3e"), "name": "sample2", "dynamics": "sample@email.com", "type": "profile" } ] I am trying to query the collection like below db.sample.aggregate([ { $group:{ _id:"$name", "dynamics": {$first:"$dynamics"}, "type": {$first:"$type"} } } ]) Output: [ { "_id": "sample

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