New Functions of File Systems to Manage Information Shared by Communities

2006 ◽  
Author(s):  
K. Ishikawa ◽  
A. Morishima ◽  
S. Sugimoto
Keyword(s):  
File Systems

scholarly journals Impact on Quality of Life of Patients Treated by Different File Systems for Root Canal Treatment

2021 ◽  
Author(s):  
L.S. Priyanka ◽  
Lakshmi Nidhi Rao ◽  
Aditya Shetty ◽  
Mithra N. Hegde ◽  
Chitharanjan Shetty
Keyword(s):  
Quality Of Life ◽  
Oral Health ◽  
Postoperative Pain ◽  
Root Canal ◽  
File Systems ◽  
Study Groups ◽  
Significant Difference ◽  
Related Quality ◽  
The Impact

Abstract Introduction The outcomes of oral health conditions and therapy for those conditions are described by the term “oral health-related quality of life.” Oral health-related quality of life is recognized by the World Health Organization as an important part of the Global Oral Health Program. The study aims to compare the impact of three root canal preparation systems on patients’ quality of life and correlate postoperative pain with the impact on the quality of life. Materials and Methods A survey was performed in which 90 patients were randomly assigned to three groups based on the root canal preparation system: (1) ProTaper Gold (Dentsply, Tulsa Dental Specialties, Tulsa, Oklahoma, United States), (2) Neoendo flex (Neoendo, India),and (3) Hyflex EDM/CM (Coltene Whaledent) that included 30 participants in each group. Data collection included the implementation of a demographic data questionnaire, Oral Health Impact Profile 14 (quality of life), and visual analogue scale(pain). The questionnaire was given after root canal treatment in the first 24 hours. The data obtained were statistically analyzed. Results No significant differences were found in the quality of life among study groups. Group 1 demonstrated a highly significant difference in the postoperative pain with p value of 2.67. Conclusion Within the limitations of the present study, Protaper Gold showed a highly significant difference in postoperative pain when compared with other file systems. No significant differences were found in the quality of life among the study groups.

FILT: Optimizing KV-Embedded File Systems through Flat Indexing

2020 ◽  
Author(s):  
Chen Chen ◽  
Tongliang Deng ◽  
Jian Zhang ◽  
Yanliang Zou ◽  
Xiaomin Zhu ◽  
...  
Keyword(s):  
File Systems

Distributed Hierarchical File Systems strike back in the Cloud

2020 ◽  
Author(s):  
Mahmoud Ismail ◽  
Salman Niazi ◽  
Mauritz Sundell ◽  
Mikael Ronstrom ◽  
Seif Haridi ◽  
...  
Keyword(s):  
File Systems

Technical Perspective: Proving file systems meet expectations

2017 ◽  
Vol 60 (4) ◽  
pp. 74-74
Author(s):  
Gernot Heiser
Keyword(s):  
File Systems

File systems deserve verification too!

2014 ◽  
Vol 48 (1) ◽  
pp. 58-64 ◽  
Author(s):  
Gabriele Keller ◽  
Toby Murray ◽  
Sidney Amani ◽  
Liam O'Connor ◽  
Zilin Chen ◽  
...  
Keyword(s):  
File Systems

scholarly journals Realistic and Scalable Benchmarking Cloud File Systems: Practices and Lessons from AliCloud

2017 ◽  
Vol 28 (11) ◽  
pp. 3272-3285 ◽  
Author(s):  
Zujie Ren ◽  
Weisong Shi ◽  
Jian Wan ◽  
Feng Cao ◽  
Jiangbin Lin
Keyword(s):  
File Systems

A New File Updating Discovery Algorithm Supporting Semantic Synchronization

2012 ◽  
Vol 263-266 ◽  
pp. 1979-1986
Author(s):  
Qiang Li ◽  
Li Gu Zhu ◽  
Sai Feng Zeng
Keyword(s):  
File System ◽  
File Systems ◽  
Data Synchronization ◽  
Basic Features ◽  
Short Time

Updates discovery is the key problem of data synchronization; it has been used to generate updates operations. The traditional algorithms ignore the modify semanteme, cause the updates operations increased. A new file updating discovery algorithm that supports semantic synchronization is proposed in this paper. The algorithm takes advantage of semantic info, which preserved in file system journal, to accurately recognize users originally modify intents. We take the NTFS file system as an example to realize and test the new algorithm. By comparison, the algorithm effectively reduces synchronization requests. Experiments show that, the algorithm cans timely respond to users’ modification and support massive file changes that occurred in short time. The algorithm is designed based on the basic features of file system journal, and can be applied to other file systems.

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