An Optimal Framework for Spatial Query Optimization Using Hadoop in Big Data Analytics

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Author(s): Pankaj Dadheech*, Dinesh Goyal, Sumit Srivastava, Ankit Kumar.

Journal Name: Recent Patents on Computer Science

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Abstract:

Spatial queries frequently used in Hadoop for significant data process. However, vast and massive size of spatial information makes it difficult to process the spatial inquiries proficiently, so they utilized the Hadoop system for process Big Data. We have used Boolean Queries & Geometry Boolean Spatial Data for Query Optimization using Hadoop System. In this paper, we show a lightweight and adaptable spatial data index for big data which will process in Hadoop frameworks. Results demonstrate the proficiency and adequacy of our spatial ordering system for various spatial inquiries.

Keywords: Big Data, Data Processing, Hadoop, Spatial Queries, Query Optimization.

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DOI: 10.2174/2213275912666190419215231
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A Novel and Secure Hybrid iWD-MASK Algorithm for Enhanced Image Security

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Author(s): Righa Tandon, P. K. Gupta*.

Journal Name: Recent Patents on Computer Science

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Abstract:

With the rapid growth of technology dependency over use of digital data is increasing day by day. In dDesigning digital communication systems to keepmaintain the security of data intact at all levels is important, and is considered as a vital issue in the field of digital computing. Use of digital images for the vast variety of applications in military, medical, and other sectors areis gaining a lot ofgreat popularity. Owing to this, Therefore, there is a rising demand ofto enhance the security of digital imaginge security. In this paper, we have focused on the protection of privacy, protection and proposed one of the swarm intelligence based algorithm known as “intelligent water drop-matrix array symmetric key” (iWD-MASK) for encryption and decryption of digital images. Here, the MASK approach has been implemented to generate the key of sizewhich is 128 bits in size. Also, use of an intelligent water drop algorithm implements the concept of soil particles and velocity to increase the confusion for any attacker(s) if they try to execute any attack on the image. We have also provided the detailed comparison of the proposed iWD-MASK with other hybrid approaches like MAES + Chaos and MASK + Chaos. The proposed algorithm uses three metrics, viz., precision, recall, and F-measure to evaluate the overall performance and the obtained results shows a significant improvement infor encryption and decryption of digital images over other approaches.

Keywords: MASK, MAES, Encryption, Decryption, Image Security, cChaos-based approaches.

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DOI: 10.2174/2213275912666190419214900
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Small-Molecule Bifunctional Fluorescent Probes for the Differential Detection of Multiple Guests

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Author(s): Pei-Pei Jia, Shu-Ting Jiang, Lin Xu*.

Journal Name: Current Organic Synthesis

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During the last few years, the preparation of bifunctional fluorescent probes, which exhibit differential response towards multiple analytes, has attracted considerable attention since they are cost-effective and highly desirable for real-time applications. This review focuses on the recent advances in the design principles, recognition mechanisms, and applications of multifunctional fluorescent probes for the differential detection of multiple guests.

Keywords: bifunctional fluorescence probe, mechanism, applications

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DOI: 10.2174/1570179416666190419213812
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Transition-Metal Nanoparticles Catalyzed Carbon-Carbon Coupling Reactions in Water

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Author(s): Atsushi Ohtaka*.

Journal Name: Current Organic Chemistry

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The use of transition-metal nanoparticles in catalysis has attracted much interest, and their use in carbon-carbon coupling reactions such as Suzuki, Heck, Sonogashira, Stille, Hiyama, and Ullmann coupling reactions constitutes one of their most important applications. The transition-metal nanoparticles are considered as one of green catalysts because they show high catalytic activity for several reactions in water. This review is devoted to the catalytic system developed in the past 10 years in transition-metal nanoparticles-catalyzed carbon-carbon coupling reactions such as Suzuki, Heck, Sonogashira, Stille, Hiyama, and Ullmann coupling reactions in water.

Keywords: metal nanoparticles, water, Suzuki coupling, Heck reaction, Sonogashira coupling, Stille coupling, Hiyama coupling, Ullmann coupling

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DOI: 10.2174/1385272823666190419211714
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Anti-inflammatory Plant Polyphenolics and Cellular Action Mechanisms

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Author(s): Reyaz Hassan Mir*, Mubashir Hussain Masoodi.

Journal Name: Current Bioactive Compounds

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Background: Polyphenolics, a group of natural substances with a wide distribution in plant kingdom present a great diversity of biological activities such as anti-oxidative, anti-inflammatory, anti-mutagenic, anti-carcinogenic, modulation of enzyme activity, prevention of CHD, etc. The objective of this review was to describe the relevant aspects of polyphenolics, reporting the different known groups, the probable mechanisms by which they act as anti-inflammatory agents. The attempt was also being made to enumerate the possible leads e.g. curcumin, resveratrol, baicalein for further development.

Methods: For peer-reviewed research literature we undertook a structured search of bibliographic databases using a focused review question. The quality of retrieved papers was appraised using standard tools. The systemic review consists of research using scientific databases such as PubMed, Scopus, Science Direct, Google Scholar.

Research: Compounds like Quercetin, luteolin, apigenin, fisetin, wogonin, and baicalein showed anti-inflammatory activity in-vitro through different cellular mechanisms and these were also reported to possess significant anti-inflammatory activity in animal models of inflammation.

Conclusion: It is evident that polyphenolics compounds such as flavonoids, lignans, phloroglucinols, stilbenes, diarylheptanoids, quinones, and phenylpropanoids exhibited significant anti-inflammatory activity in-vivo as well as in-vitro. Although, these active compounds are not drugs per se, however, they deserve further investigation as potential candidates for anti-inflammatory drug development through preclinical and clinical studies.

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DOI: 10.2174/1573407215666190419205317
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Quantitative Structure-Activity Relationship Analysis for Predicting Lipophilicity of Aniline Derivatives (Including some Pharmaceutical Compounds)

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Author(s): Morteza Rezaei, Esmat Mohammadinasab*, Tahere Momeni Esfahani.

Journal Name: Combinatorial Chemistry & High Throughput Screening

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In this study, we used a hierarchical approach to develop quantitative structure-activity relationship (QSAR) models for the modeling lipophilicity of a set of 81 anilines derivatives containing some pharmaceutical compounds. Quantum mechanical calculations at the density functional theory level and 6-311++G** basis set were carried out to obtain the optimized geometry and then, the comprehensive set of molecular descriptors were computed by using the Dragon software. Genetic algorithm (GA) was applied to select the suitable descriptors which have the most correlation with lipophilicity of studied compounds. It was identified that such descriptors as Barysz matrix (SEigZ), hydrophilicity factor (Hy), Moriguchi octanol-water partition coefficient (MLOGP), electrophilicity (ω/eV) van der Waals volume (vWV) and lethal concentration (LC50/molkg-1) are the best descriptors for QSAR modeling. The multiple linear regression (MLR), principal component regression (PCR) and partial least square regression (PLSR) methods were utilized to construct QSAR models. The high correlation coefficients and the low prediction errors for MLR, PCR and PLSR methods confirmed the good predictability of the three models.

Keywords: Lipophilicity, Genetic algorithm-Multiple linear regression, Partial least square regression, Principal component regression, Aniline derivatives.

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DOI: 10.2174/1386207322666190419111559
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Effect of the Phragmitis Rhizoma Aqueous Extract on the Pharmacokinetics of Docetaxel in Rats

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Author(s): Sarah Shin, No Soo Kim, Young Ah Kim, Hea Ry Oh, Ok-Sun Bang*.

Journal Name: Combinatorial Chemistry & High Throughput Screening

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Background: Traditionally, Phragmitis rhizoma has been prescribed to relive a fever, vomiting, dysuria, and constipation, and to promote a secretion of fluids. In addition, recent studies have reported its efficacy as a diuretic and antiemetic. Our previous study demonstrated that the Phragmitis rhizoma aqueous extract (EPR) ameliorates docetaxel (DTX)-induced myelotoxicity. Aim and Objective: This study was aimed to investigate the effects of EPR on the pharmacokinetics of DTX in Sprague–Dawley rats. Material & Methods: The animals received an intravenous injection of DTX (5 mg/kg) with or without oral EPR (100 mg/kg) pretreatment for 1 or 6 days. The pharmacokinetics of plasma DTX was analyzed using an ultra-performance liquid chromatography-tandem mass spectrometry system, and pharmacokinetic parameters were estimated via noncompartmental analysis. Results: Relative to the control group (DTX alone), EPR pretreatment did not affect significantly the overall profiles of plasma DTX levels. Consecutively pretreated EPR for 6 days slightly altered AUC0-t and Cmax of DTX by 122 and 145.9%, respectively, but these data did not reach the threshold of statistical significance (p > 0.05). Conclusion: These results indicate that DTX exposure may not be affected by EPR treatment at the dose level used in this study, suggesting that oral EPR can be safely co-administered with intravenously injected DTX. However, further studies under the stringent conditions are needed when chronic treatment of EPR and anticancer drug.

Keywords: Phragmitis Rhizoma, Docetaxel, pharmacokinetics, herb-drug interaction, anticancer drug, chemotherapy.

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DOI: 10.2174/1386207322666190419110724
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Trends in Enzyme Inhibition and Activation in Drug Design - Part II

Author(s): Athina Geronikaki.

Journal Name: Current Topics in Medicinal Chemistry

Volume 19 , Issue 5 , 2019

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VOLUME: 19
ISSUE: 5
Year: 2019
Page: [317 - 318]
Pages: 2
DOI: 10.2174/156802661905190418152713


Current Topics in Medicinal Chemistry

Editor-in-Chief:

Allen B. Reitz
Fox Chase Chemical Diversity Center, Inc.
Doylestown, PA
USA

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Trends in Enzyme Inhibition and Activation in Drug Design - Part II promotion: free to download

Pp: 317-318
Athina Geronikaki
DOI: 10.2174/156802661905190418152713

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Prediction of Drug-Drug Interactions Related to Inhibition or Induction of Drug-Metabolizing Enzymes

Pp: 319-336
Alexander V. Dmitriev*, Alexey A. Lagunin, Dmitry А. Karasev, Anastasia V. Rudik, Pavel V. Pogodin, Dmitry A. Filimonov and Vladimir V. Poroikov
DOI: 10.2174/1568026619666190123160406

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Design, Synthesis, Evaluation of Antimicrobial Activity and Docking Studies of New Thiazole-based Chalcones

Pp: 356-375
Christophe Tratrat*, Michelyne Haroun, Iakovos Xenikakis, Konstantinos Liaras, Evangelia Tsolaki, Phaedra Eleftheriou, Anthi Petrou, Bandar Aldhubiab, Mahesh Attimarad, Katharigatta N. Venugopala, Sree Harsha, Heba S. Elsewedy, Athina Geronikaki* and Marina Soković
DOI: 10.2174/1568026619666190129121933

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Synthesis and In Vitro Enzymatic Studies of New 3-Aryldiazenyl Indoles as Promising Helicobacter pylori IMPDH Inhibitors

Pp: 376-382
Sachin Jangra, Gayathri Purushothaman , Kapil Juvale , Srimadhavi Ravi , Aishwarya Menon , Vijay Thiruvenkatam and Sivapriya Kirubakaran*
DOI: 10.2174/1568026619666190227212334

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PREFACE RICE for All Aspects of Chemical Engineering

Author(s): Yousheng Tao.

Journal Name: Recent Innovations in Chemical Engineering

Volume 12 , Issue 1 , 2019

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VOLUME: 12
ISSUE: 1
Year: 2019
Page: [2 - 6]
Pages: 5
DOI: 10.2174/240552041201190418145502