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Ejaculatory frequency and male fertility: a literature review of evidence-based recommendations. [PDF]

Transl Androl Urol
Clay N, Zleczewski M, Stroie F.
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Extracting Informative Glycan-Specific Ions From Glycopeptide MS/MS Spectra With GlyCounter. [PDF]

Mol Cell Proteomics
Kothlow K, Schramm HM, Markuson KA, Russell JH, Sutherland E, Veth TS, Zhang R, Duboff AG, Tejus VR, McDermott LE, Dräger LS, Riley NM.   +11 more
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Carving Orphaned JPEG File Fragments

IEEE Transactions on Information Forensics and Security, 2015
File carving techniques allow for recovery of files from storage devices in the absence of any file system metadata. When data are encoded and compressed, the current paradigm of carving requires the knowledge of the compression and encoding settings to succeed.
Sencar, Hüsrev Taha, Uzun, Erkam
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Byte embeddings for file fragment classification

Future Generation Computer Systems, 2022
Abstract In digital forensics, file carving is the process of recovering files on a storage media in part or in whole without any file system information. An important problem in file carving is the identification of fragment types. Many fragment classification studies in the literature employ inflexible and indiscernible feature selection methods ...
Md Enamul Haque, Mehmet Engin Tozal
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Belief Fragments and Mental Files

2021
Belief fragments and mental files are based on the same idea: that information in people’s minds is compartmentalized rather than lumped all together. Philosophers mostly use the two notions differently, though the exact relationship between fragments and files has yet to be examined in detail. This chapter has three main goals.
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GenSpec: A File Fragment Classification Approach

2020 International Conference on Computing and Information Technology (ICCIT-1441), 2020
Collection and analysis of data are at the heart of digital forensics. However, in real-life situations, the data of interest is often found in files that were partially erased or otherwise tampered with. Consequently, identification of the file types of those fragmented files and the data format of the text contained in each file are deemed necessary.
Mohammed Abdulaziz Alsubhi, Ahmed Nour Moussa, Abdullatif Saleh Alfaqiri, Firas Layth Khaleel   +3 more
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Image File Fragments Dataset and Code

2019
In this study, we present a dataset that contains file fragments of ten image file formats: Bitmap (BMP), Better Portable Graphics (BPG), Free Lossless Image Format (FLIF), Graphic Interchange Format (GIF), Joint Photographic Experts Group (JPEG), Joint Photographic Experts Group 2000 (JPEG 2000), Joint Photographic Experts Group Extended Range (JPEG ...
Reyhane Fakouri, Teimouri, Mehdi
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Neural Networks for File Fragment Classification

2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2019
Abstract - File fragment classification is an important step in file forensics in which filetypes are assumed based on their available content fragments. Methods typically used for this task utilize machine learning techniques on features like byte frequency distributions and fragment entropy measures.
Vulinović, Kristijan, Ivković, Lucija, Petrović, Juraj, Skračić, Kristian, Pale, Predrag   +4 more
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MiF: Mitigating the Intra-file Fragmentation in Parallel File System

2011 International Conference on Parallel Processing, 2011
Parallel file systems have been broadly deployed in large scale data centers, supporting a wide range of applications across a variety of industries. Unfortunately, most parallel file systems suffer from the intra-file fragmentation which is the disk performance killer.
Letian Yi, Jiwu Shu, Youyou Lu, Wei Wang, Weimin Zheng   +4 more
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Resurrection: A Carver for Fragmented Files

2014
The recovery of deleted files is an important task frequently carried out by professionals in digital forensics and data recovery. When carried out without information from the file system, this process is called file carving. The techniques implemented in today’s file carvers are mostly sufficient for non-fragmented files.
Martin Lambertz, Rafael Uetz, Elmar Gerhards-Padilla   +2 more
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