NEEX: An Automated and Efficient Tool for Detecting Browser Extension Fingerprint

2022 ◽  
pp. 21-35
Author(s):  
Ting Lyu ◽  
Liang Liu ◽  
Fangzhou Zhu ◽  
Jingxiu Yang ◽  
Simin Hu ◽  
...  
Keyword(s):  
Efficient Tool ◽  
Browser Extension

Analysis of Remote Sensing based Vegetation Indices (VIs) for Unmanned Aerial System (UAS): A Review

2020 ◽  
Vol 3 (2) ◽  
pp. 58-73
Author(s):  
Vijay Bhagat ◽  
Ajaykumar Kada ◽  
Suresh Kumar
Keyword(s):  
Remote Sensing ◽  
Spatial Data ◽  
Satellite Remote Sensing ◽  
Vegetation Indices ◽  
Unmanned Aerial System ◽  
Sustainable Land Management ◽  
Efficient Tool ◽  
Site Specific ◽  
The Earth ◽  
Interesting Area

Unmanned Aerial System (UAS) is an efficient tool to bridge the gap between high expensive satellite remote sensing, manned aerial surveys, and labors time consuming conventional fieldwork techniques of data collection. UAS can provide spatial data at very fine (up to a few mm) and desirable temporal resolution. Several studies have used vegetation indices (VIs) calculated from UAS based on optical- and MSS-datasets to model the parameters of biophysical units of the Earth surface. They have used different techniques of estimations, predictions and classifications. However, these results vary according to used datasets and techniques and appear very site-specific. These existing approaches aren’t optimal and applicable for all cases and need to be tested according to sensor category and different geophysical environmental conditions for global applications. UAS remote sensing is a challenging and interesting area of research for sustainable land management.

An Efficient Tool for Searching Maximal and Super Maximal Repeats in Large DNA/Protein Sequences via Induced-Enhanced Suffix Array

2019 ◽  
Vol 12 (2) ◽  
pp. 128-134
Author(s):  
Sanjeev Kumar ◽  
Suneeta Agarwal ◽  
Ranvijay
Keyword(s):  
Protein Sequences ◽  
Input Sequence ◽  
Suffix Array ◽  
Secondary Memory ◽  
Time And Space ◽  
Efficient Tool ◽  
Frequency Distributions ◽  
Alignment Algorithms ◽  
Common Prefix ◽  
Art Works

Background: DNA and Protein sequences of an organism contain a variety of repeated structures of various types. These repeated structures play an important role in Molecular biology as they are related to genetic backgrounds of inherited diseases. They also serve as a marker for DNA mapping and DNA fingerprinting. Efficient searching of maximal and super maximal repeats in DNA/Protein sequences can lead to many other applications in the area of genomics. Moreover, these repeats can also be used for identification of critical diseases by finding the similarity between frequency distributions of repeats in viruses and genomes (without using alignment algorithms). Objective: The study aims to develop an efficient tool for searching maximal and super maximal repeats in large DNA/Protein sequences. Methods: The proposed tool uses a newly introduced data structure Induced Enhanced Suffix Array (IESA). IESA is an extension of enhanced suffix array. It uses induced suffix array instead of classical suffix array. IESA consists of Induced Suffix Array (ISA) and an additional array-Longest Common Prefix (LCP) array. ISA is an array of all sorted suffixes of the input sequence while LCP array stores the lengths of the longest common prefixes between all pairs of consecutive suffixes in an induced suffix array. IESA is known to be efficient w.r.t. both time and space. It facilitates the use of secondary memory for constructing the large suffix-array. Results: An open source standalone tool named MSR-IESA for searching maximal and super maximal repeats in DNA/Protein sequences is provided at https://github.com/sanjeevalg/MSRIESA. Experimental results show that the proposed algorithm outperforms other state of the art works w.r.t. to both time and space. Conclusion: The proposed tool MSR-IESA is remarkably efficient for the analysis of DNA/Protein sequences, having maximal and super maximal repeats of any length. It can be used for identification of well-known diseases.

Valence states of atoms and their conversions

1984 ◽  
Vol 49 (5) ◽  
pp. 1247-1261 ◽  
Author(s):  
Jaroslav Koča ◽  
Milan Kratochvíl ◽  
Milan Kunz ◽  
Vladimír Kvasnička
Keyword(s):  
Chemical Reactions ◽  
Computer Assisted ◽  
Efficient Tool ◽  
Common Features ◽  
Systematic Application ◽  
Organic Syntheses ◽  
Valence States ◽  
Algebraic Formalism

The algebraic formalism for the description of valence states of atoms and their interconversions is elaborated. It offers a possibility to construct and trace mechanistic paths of chemical reactions, the problem of which is of great importance in computer-assisted organic syntheses. Its systematic application gives exhaustive lists of possible mechanistic paths, and furthermore, very efficient tool to classify chemical reactions and look for their common features.

Law on Natural Disasters

2018 ◽  
Author(s):  
Ki-Gab Park
Keyword(s):  
Natural Disasters ◽  
International Cooperation ◽  
Natural Disaster ◽  
International Community ◽  
The State ◽  
Efficient Tool ◽  
International Solidarity ◽  
Cooperation Mechanism ◽  
Prior Consent ◽  
Humanitarian Crises

The chapter argues that natural disasters are common concerns in the international community. At the same time, the current international cooperation mechanism, based on the principle of equal sovereignty, require prior consent by the state affected by a natural disaster. Unfortunately, this is not always an efficient tool for the protection of victims. The globalization of problems and the proliferation of humanitarian crises make the veritable solidarity of the international community increasingly necessary, and therefore another high value, namely international solidarity or community obligations, should create direct and immediate obligations for all members of the international community. The main object of this chapter is to discuss the future-oriented direction of the law on natural disasters. This means, first, to ascertain the lex lata, especially customary rules. The chapter further offers some suggestions on possible ways for the international community to provide more effective relief for victims of natural disasters.

Stochastic and Deterministic Petri Networks Model for Joint Management Model for Spare Parts and Maintenance: Simulation Study

2020 ◽  
Vol 46 ◽  
pp. 180-188 ◽  
Author(s):  
Oumaima Bounou ◽  
Abdellah El Barkany ◽  
Ahmed El Biyaali
Keyword(s):  
Simulation Study ◽  
Monitoring And Evaluation ◽  
Spare Parts ◽  
Maintenance Management ◽  
Graphical Interface ◽  
Efficient Tool ◽  
Joint Management ◽  
And Storage ◽  
Evaluation Techniques

Maintenance management is an orderly procedure to address the planning, organization, monitoring and evaluation of maintenance activities and associated costs. The maintenance management allows to have an efficient tool either to the management of the preventive or curative activity, an optimization of the production tool, and finally a follow-up of the costs and the performances. A good maintenance management system can help prevent problems and damages to the operating and storage environment, extend the life of assets, and reduce operating costs.In this paper, we will first present our model on the joint management of spare parts and maintenance. We will do a simulation study of our model, presented in the first section of this paper. The results of this study are presented in the second section through the presentation of the influence of certain parameters of the model on the operation of the system under consideration. This study carried out on the graphical interface of Matlab, which is one of the performance evaluation techniques. It allows to visualize the variations and anomalies which can be reached in the system considered as an overcoming of the repair of the machines by the unforeseen breakdowns.

Spatial anisotropy of linear electro-optic effect in crystal materials: II. Indicative surfaces as efficient tool for electro-optic coupling optimization in LiNbO3

2009 ◽  
Vol 47 (1) ◽  
pp. 24-30 ◽  
Author(s):  
A.S. Andrushchak ◽  
B.G. Mytsyk ◽  
N.M. Demyanyshyn ◽  
M.V. Kaidan ◽  
O.V. Yurkevych ◽  
...  
Keyword(s):  
Efficient Tool ◽  
Spatial Anisotropy ◽  
Electro Optic

scholarly journals Associative Blockchain for Decentralized PKI Transparency

Cryptography ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 14
Author(s):  
Xavier Boyen ◽  
Udyani Herath ◽  
Matthew McKague ◽  
Douglas Stebila
Keyword(s):  
Formal Analysis ◽  
Fraud Detection ◽  
Public Key Infrastructure ◽  
Public Key ◽  
The Internet ◽  
Security Model ◽  
User Adoption ◽  
Browser Extension ◽  
History Of ◽  
Client Side

The conventional public key infrastructure (PKI) model, which powers most of the Internet, suffers from an excess of trust into certificate authorities (CAs), compounded by a lack of transparency which makes it vulnerable to hard-to-detect targeted stealth impersonation attacks. Existing approaches to make certificate issuance more transparent, including ones based on blockchains, are still somewhat centralized. We present decentralized PKI transparency (DPKIT): a decentralized client-based approach to enforcing transparency in certificate issuance and revocation while eliminating single points of failure. DPKIT efficiently leverages an existing blockchain to realize an append-only, distributed associative array, which allows anyone (or their browser) to audit and update the history of all publicly issued certificates and revocations for any domain. Our technical contributions include definitions for append-only associative ledgers, a security model for certificate transparency, and a formal analysis of our DPKIT construction with respect to the same. Intended as a client-side browser extension, DPKIT will be effective at fraud detection and prosecution, even under fledgling user adoption, and with better coverage and privacy than federated observatories, such as Google’s or the Electronic Frontier Foundation’s.

scholarly journals Intermittent Hypobaric Hypoxic Preconditioning Provides Neuroprotection by Increasing Antioxidant Activity, Erythropoietin Expression and Preventing Apoptosis and Astrogliosis in the Brain of Adult Rats Exposed to Acute Severe Hypoxia

2021 ◽  
Vol 22 (10) ◽  
pp. 5272
Author(s):  
Débora Coimbra-Costa ◽  
Fernando Garzón ◽  
Norma Alva ◽  
Tiago C. C. Pinto ◽  
Fernando Aguado ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Hypobaric Hypoxia ◽  
Hypoxic Preconditioning ◽  
Severe Hypoxia ◽  
Efficient Tool ◽  
Adult Rats ◽  
Therapeutic Benefits ◽  
Background Exposure ◽  
The Brain ◽  
Apoptotic Cascade

Background: Exposure to intermittent hypoxia has been demonstrated to be an efficient tool for hypoxic preconditioning, preventing damage to cells and demonstrating therapeutic benefits. We aimed to evaluate the effects of respiratory intermittent hypobaric hypoxia (IHH) to avoid brain injury caused by exposure to acute severe hypoxia (ASH). Methods: biomarkers of oxidative damage, mitochondrial apoptosis, and transcriptional factors in response to hypoxia were assessed by Western blot and immunohistochemistry in brain tissue. Four groups of rats were used: (1) normoxic (NOR), (2) exposed to ASH (FiO2 7% for 6 h), (3) exposed to IHH for 3 h per day over 8 days at 460 mmHg, and (4) ASH preconditioned after IHH. Results: ASH animals underwent increased oxidative-stress-related parameters, an upregulation in apoptotic proteins and had astrocytes with phenotype forms compatible with severe diffuse reactive astrogliosis. These effects were attenuated and even prevented when the animals were preconditioned with IHH. These changes paralleled the inhibition of NF-κB expression and the increase of erythropoietin (EPO) levels in the brain. Conclusions: IHH exerted neuroprotection against ASH-induced oxidative injury by preventing oxidative stress and inhibiting the apoptotic cascade, which was associated with NF-κB downregulation and EPO upregulation.

scholarly journals Differentiation of Mitragyna speciosa, a narcotic plant, from allied Mitragyna species using DNA barcoding-high-resolution melting (Bar-HRM) analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chayapol Tungphatthong ◽  
Santhosh Kumar J. Urumarudappa ◽  
Supita Awachai ◽  
Thongchai Sooksawate ◽  
Suchada Sukrong
Keyword(s):  
High Resolution ◽  
Dna Barcoding ◽  
High Resolution Melting ◽  
Dna Barcode ◽  
Herbal Medicines ◽  
Efficient Tool ◽  
Hrm Analysis ◽  
Mitragyna Speciosa ◽  
Leaf Powder

AbstractMitragyna speciosa (Korth.) Havil. [MS], or “kratom” in Thai, is the only narcotic species among the four species of Mitragyna in Thailand, which also include Mitragyna diversifolia (Wall. ex G. Don) Havil. [MD], Mitragyna hirsuta Havil. [MH], and Mitragyna rotundifolia (Roxb.) O. Kuntze [MR]. M. speciosa is a tropical tree belonging to the Rubiaceae family and has been prohibited by law in Thailand. However, it has been extensively covered in national and international news, as its abuse has become more popular. M. speciosa is a narcotic plant and has been used as an opium substitute and traditionally used for the treatment of chronic pain and various illnesses. Due to morphological disparities in the genus, the identification of plants in various forms, including fresh leaves, dried leaf powder, and finished products, is difficult. In this study, DNA barcoding combined with high-resolution melting (Bar-HRM) analysis was performed to differentiate M. speciosa from allied Mitragyna and to assess the capability of Bar-HRM assays to identify M. speciosa in suspected kratom or M. speciosa-containing samples. Bar-HRM analysis of PCR amplicons was based on the ITS2, rbcL, trnH-psbA, and matK DNA barcode regions. The melting profiles of ITS2 amplicons were clearly distinct, which enabled the authentication and differentiation of Mitragyna species from allied species. This study reveals that DNA barcoding coupled with HRM is an efficient tool with which to identify M. speciosa and M. speciosa-containing samples and ensure the safety and quality of traditional Thai herbal medicines.

Two-dimensional plasmonic multilayer as an efficient tool for low power random lasing applications

2021 ◽  
pp. 1-10
Author(s):  
Saddam F. Haddawi ◽  
Hammad R. Humud ◽  
Sakineh Almasi Monfared ◽  
S. M. Hamidi
Keyword(s):  
Low Power ◽  
Two Dimensional ◽  
Random Lasing ◽  
Efficient Tool
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