An Approach for the Efficient Retrieval in Ontology-Enhanced Information Portals

2004 ◽  
pp. 414-424 ◽  
Author(s):  
Nenad Stojanovic
Keyword(s):  
Efficient Retrieval

Multi keyword searchable attribute based encryption for efficient retrieval of health Records in Cloud

2021 ◽  
Author(s):  
D. Sangeetha ◽  
S. Sibi Chakkaravarthy ◽  
Suresh Chandra Satapathy ◽  
V. Vaidehi ◽  
Meenalosini Vimal Cruz
Keyword(s):  
Health Records ◽  
Attribute Based Encryption ◽  
Efficient Retrieval

scholarly journals ARIES: A lexical platform for engineering Spanish processing tools

1997 ◽  
Vol 3 (4) ◽  
pp. 317-345 ◽  
Author(s):  
JOSÉ M. GOÑI ◽  
JOSÉ C. GONZÁLEZ ◽  
ANTONIO MORENO
Keyword(s):  
Word Formation ◽  
Spanish Language ◽  
Inflectional Morphology ◽  
Type Checking ◽  
Efficient Retrieval ◽  
Software Interfaces ◽  
Feature Based ◽  
Run Time ◽  
E Mail ◽  
Unification Grammar

We present a lexical platform that has been developed for the Spanish language. It achieves portability between different computer systems and efficiency, in terms of speed and lexical coverage. A model for the full treatment of Spanish inflectional morphology for verbs, nouns and adjectives is presented. This model permits word formation based solely on morpheme concatenation, driven by a feature-based unification grammar. The run-time lexicon is a collection of allomorphs for both stems and endings. Although not tested, it should be suitable also for other Romance and highly inflected languages. A formalism is also described for encoding a lemma-based lexical source, well suited for expressing linguistic generalizations: inheritance classes, lemma encoding, morpho-graphemic allomorphy rules and limited type-checking. From this source base, we can automatically generate an allomorph indexed dictionary adequate for efficient retrieval and processing. A set of software tools has been implemented around this formalism: lexical base augmenting aids, lexical compilers to build run-time dictionaries and access libraries for them, feature manipulation libraries, unification and pseudo-unification modules, morphological processors, a parsing system, etc. Software interfaces among the different modules and tools are cleanly defined to ease software integration and tool combination in a flexible way. Directions for accessing our e-mail and web demonstration prototypes are also provided. Some figures are given, showing the lexical coverage of our platform compared to some popular spelling checkers.

scholarly journals Ensuring Improved Security in Medical Data Using ECC and Blockchain Technology with Edge Devices

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Mary Subaja Christo ◽  
V. Elizabeth Jesi ◽  
Uma Priyadarsini ◽  
V. Anbarasu ◽  
Hridya Venugopal ◽  
...  
Keyword(s):  
Medical Data ◽  
Security Measures ◽  
Data Confidentiality ◽  
Hospital Data ◽  
Healthcare Data ◽  
Security Issues ◽  
Blockchain Technology ◽  
Data Authentication ◽  
Efficient Retrieval ◽  
Lightweight Authentication

Hospital data management is one of the functional parts of operations to store and access healthcare data. Nowadays, protecting these from hacking is one of the most difficult tasks in the healthcare system. As the user’s data collected in the field of healthcare is very sensitive, adequate security measures have to be taken in this field to protect the networks. To maintain security, an effective encryption technology must be utilised. This paper focuses on implementing the elliptic curve cryptography (ECC) technique, a lightweight authentication approach to share the data effectively. Many researches are in place to share the data wirelessly, among which this work uses Electronic Medical Card (EMC) to store the healthcare data. The work discusses two important data security issues: data authentication and data confidentiality. To ensure data authentication, the proposed system employs a secure mechanism to encrypt and decrypt the data with a 512-bit key. Data confidentiality is ensured by using the Blockchain ledger technique which allows ethical users to access the data. Finally, the encrypted data is stored on the edge device. The edge computing technology is used to store the medical reports within the edge network to access the data in a very fast manner. An authenticated user can decrypt the data and process the data at optimum speed. After processing, the updated data is stored in the Blockchain and in the cloud server. This proposed method ensures secure maintenance and efficient retrieval of medical data and reports.

scholarly journals Cargo-selective endosomal sorting for retrieval to the Golgi requires retromer

2004 ◽  
Vol 165 (1) ◽  
pp. 111-122 ◽  
Author(s):  
Matthew N.J. Seaman
Keyword(s):  
Electron Microscopy ◽  
Plasma Membrane ◽  
Multivesicular Body ◽  
Carboxypeptidase Y ◽  
Reporter Protein ◽  
Rapid Degradation ◽  
Endosomal Sorting ◽  
Lysosome Biogenesis ◽  
Golgi Transport ◽  
Efficient Retrieval

fEndosome-to-Golgi retrieval of the mannose 6-phosphate receptor (MPR) is required for lysosome biogenesis. Currently, this pathway is poorly understood. Analyses in yeast identified a complex of proteins called “retromer” that is essential for endosome-to-Golgi retrieval of the carboxypeptidase Y receptor Vps10p. Retromer comprises five distinct proteins: Vps35p, 29p, 26p, 17p, and 5p, which are conserved in mammals. Here, we show that retromer is required for the efficient retrieval of the cation-independent MPR (CI-MPR). Cells lacking mammalian VPS26 fail to retrieve the CI-MPR, resulting in either rapid degradation of or mislocalization to the plasma membrane. We have localized mVPS26 to multivesicular body endosomes by electron microscopy, and through the use of CD8 reporter protein constructs have examined the effect of loss of mVPS26 upon the trafficking of membrane proteins that cycle between the endosome and the Golgi. The data presented here support the hypothesis that retromer performs a selective function in endosome-to-Golgi transport, mediating retrieval of the CI-MPR, but not furin.

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