scholarly journals Big social data provenance framework for Zero-Information Loss Key-Value Pair (KVP) Database

Author(s):  
Asma Rani ◽  
Navneet Goyal ◽  
Shashi K. Gadia
2019 ◽  
Vol 2 (1) ◽  
pp. 1-17
Author(s):  
Muhammad Ibnu Pamungkas ◽  
Izzuddin Musthafa ◽  
Muhammad Nurhasan

Ta’lim Muta’alim is Syaikh al-Zarnūjī’s opus that consists of norms, ethics, and rules for gaining knowledge based on Islamic teachings. Thus, claimants of science could reach their goals to obtain it. This book was translated by Achmad Sunarto into Indonesian language and published by Husaini Publisher in Bandung. After reading it totally, researcher found mistakes in translation, especially mistakes in words selection (diction) in translation. And after analyzed it, researcher formulate the mistakes into 4 parts, (1) translation that is the result of direct transliteration from SL without considering its compability in TL, (2) existence of information loss and gain that effects the translation itself and makes it unsuitable, (3) choosing a word which is not suit with the meaning reference from the source text, (4) translation is unacceptable in TL because it is translated literally.


2009 ◽  
Vol 31 (5) ◽  
pp. 721-732 ◽  
Author(s):  
Li-Wei WANG ◽  
Ze-Qian HUANG ◽  
Min LUO ◽  
Zhi-Yong PENG

1973 ◽  
Vol 79 (2) ◽  
pp. 495-497
Author(s):  
James Fennessey
Keyword(s):  

Ethics ◽  
1973 ◽  
Vol 84 (1) ◽  
pp. 22-37
Author(s):  
Norman M. Bradburn
Keyword(s):  

Author(s):  
Irzam Sarfraz ◽  
Muhammad Asif ◽  
Joshua D Campbell

Abstract Motivation R Experiment objects such as the SummarizedExperiment or SingleCellExperiment are data containers for storing one or more matrix-like assays along with associated row and column data. These objects have been used to facilitate the storage and analysis of high-throughput genomic data generated from technologies such as single-cell RNA sequencing. One common computational task in many genomics analysis workflows is to perform subsetting of the data matrix before applying down-stream analytical methods. For example, one may need to subset the columns of the assay matrix to exclude poor-quality samples or subset the rows of the matrix to select the most variable features. Traditionally, a second object is created that contains the desired subset of assay from the original object. However, this approach is inefficient as it requires the creation of an additional object containing a copy of the original assay and leads to challenges with data provenance. Results To overcome these challenges, we developed an R package called ExperimentSubset, which is a data container that implements classes for efficient storage and streamlined retrieval of assays that have been subsetted by rows and/or columns. These classes are able to inherently provide data provenance by maintaining the relationship between the subsetted and parent assays. We demonstrate the utility of this package on a single-cell RNA-seq dataset by storing and retrieving subsets at different stages of the analysis while maintaining a lower memory footprint. Overall, the ExperimentSubset is a flexible container for the efficient management of subsets. Availability and implementation ExperimentSubset package is available at Bioconductor: https://bioconductor.org/packages/ExperimentSubset/ and Github: https://github.com/campbio/ExperimentSubset. Supplementary information Supplementary data are available at Bioinformatics online.


2020 ◽  
Vol 2020 (12) ◽  
Author(s):  
Hsu-Wen Chiang ◽  
Yu-Hsien Kung ◽  
Pisin Chen

Abstract One interesting proposal to solve the black hole information loss paradox without modifying either general relativity or quantum field theory, is the soft hair, a diffeomorphism charge that records the anisotropic radiation in the asymptotic region. This proposal, however, has been challenged, given that away from the source the soft hair behaves as a coordinate transformation that forms an Abelian group, thus unable to store any information. To maintain the spirit of the soft hair but circumvent these obstacles, we consider Hawking radiation as a probe sensitive to the entire history of the black hole evaporation, where the soft hairs on the horizon are induced by the absorption of a null anisotropic flow, generalizing the shock wave considered in [1, 2]. To do so we introduce two different time-dependent extensions of the diffeomorphism associated with the soft hair, where one is the backreaction of the anisotropic null flow, and the other is a coordinate transformation that produces the Unruh effect and a Doppler shift to the Hawking spectrum. Together, they form an exact BMS charge generator on the entire manifold that allows the nonperturbative analysis of the black hole horizon, whose surface gravity, i.e. the Hawking temperature, is found to be modified. The modification depends on an exponential average of the anisotropy of the null flow with a decay rate of 4M, suggesting the emergence of a new 2-D degree of freedom on the horizon, which could be a way out of the information loss paradox.


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