123 research outputs found
In situ phytoremediation of dyes from textile wastewater using garden ornamental plants, effect on soil quality and plant growth
No full textIn situ phytoremediation of dyes from textile wastewater was carried out in a high rate transpiration system ridges (91.4 m x 1.0 m) cultivated independently with Tagetes patula, Aster amellus, Portulaca grandiflora and Gaillardia grandiflora which reduced American Dye Manufacturers Institute color value by 59, 50, 46 and 73%, respectively within 30 d compared to dye accumulated in unplanted ridges. Significant increase in microbial count and electric conductivity of soil was observed during phytoremediation. Reduction in the contents of macro (N, P, K and C), micro (B, Cu, Fe and Mn) elements and heavy metals (Cd, As, Pb and Cr) was observed in the soil from planted ridges due to phyto-treatment. Root tissues of these plants showed significant increase in the specific activities of oxido-reductive enzymes such as lignin peroxidase, laccase, veratryl alcohol oxidase, tyrosinase and azo reductase during decolorization of textile dyes from soil. Anatomical studies of plants roots revealed the occurrence of textile dyes in tissues and subsequent degradation. A minor decrease in plant growth was also observed. Overall surveillance suggests that the use of garden ornamental plants on the ridges of constructed wetland for the treatment of dyes from wastewater along with the consortia of soil microbial flora is a wise and aesthetically pleasant strategy. (C) 2018 Elsevier Ltd. All rights reserved.Authors are thankful to University Grants Commission, New Delhi for special assistance program (DRS-SAP II, Grant No.SR/PURSE/2010). Sanjay P. Govindwar and Vishal V. Chandanshive are thankful to DBT (Grant No. BT/PR18965/BCE/8/1401/2016 dated 15-06-2017) for providing Research grants and Senior Research Fellowship. Rahul V. Khandare would like to thank Department of Biotechnology, New Delhi for financial assistance under Interdisciplinary programs on Life Sciences for advanced. Thanks, are also due to our field assistant Mr. Subhash K. Patil for maintaining and proper monitoring of plants during the on-field studies. The officials and personnel at CETP, Kagal, India also deserves thanks for administrative and technical support during this work
Metal–organic frameworks (MOFs) for the removal of emerging contaminants from aquatic environments
No full textMetal-organic frameworks (MOFs) have gained attention as promising materials for aqueous-phase sorptive removal of emerging contaminants (ECs). Attributes such as large adsorption capacity, high surface area, tunable porosity, hierarchical structure, and recyclability give MOFs an edge over conventional adsorbents. The poor stability of MOFs in water is a major challenge to their real-world environmental application. The performance of MOFs and their selectivity toward targeted pollutants for removal can be regulated by judicious selection of metal ion and organic linker. A range of water-stable MOFs (e.g., MIL-53, MIL-100, MIL-101, UiO-66, and MIL-125) and their composites with other materials have been reported to remove the ECs from water. The present review critically addressed the performance of MOFs for the adsorptive removal of different categories of ECs from water and the adsorption mechanisms involved. The performance of MOFs compared with other adsorbents has also been discussed. This body of rapidly developing research signifies the emerging importance of MOFs in environmental applications and provides a future direction for the development of treatment technology to effectively remove ECs from aqueous environments. (C) 2018 Elsevier B.V. All rights reserved.The financial assistance provided by the National Strategic Project-Carbon Upcycling of the National Research Foundation of Korea (NRF), the Ministry of Science and ICT (MSIT), the Ministry of Environment (ME) and the Ministry of Trade, Industry and Energy (MOTIE) (2017M3D8A2085333) is gratefully acknowledged. Authors also acknowledge the financial support from the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20182510102420). SD thanks the Science and Engineering Research Board (SERB), Department of Science and Technology (DST, Government of India, New Delhi) for financial support (PDF/2016/002182)
Pharmacovigilance Evaluation of the Association Between DPP-4 Inhibitors and Heart Failure: Stimulated Reporting and Moderation by Drug Interactions
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Deterministic annealing algorithm: tutorial, application to pickup and delivery problem and computational aspects
No full textThe deterministic annealing (DA) method, used for the solution of several nonconvex problems, offers the ability to avoid shallow local minima of a given cost surface and the ability to minimize the cost function even when there are many local minima. The method is established in a probabilistic framework through basic information-theoretic techniques such as maximum entropy and random coding. It arises naturally in the context of statistical mechanics by the emulation of a physical process whereby a solid is slowly cooled and at zero temperature assumes its minimum energy configuration. We start with the introduction to DA method and then present a tutorial to describe the algorithm steps. Also, we discuss the connections of DA method with Statistical Mechanics and Rate-Distortion Theory. Next, we present the application of DA method to pickup and deliver scheduling problem with time windows. Finally, a computational complexity analysis for DA is presented for a given temperature schedule. The case study focuses on the geometric cooling law , where is the temperature at time .Submission published under a 24 month embargo labeled 'U of I only', the embargo will last until 2017-05-01The student, Pratik Mayur Parekh, accepted the attached license on 2015-04-29 at 11:47.The student, Pratik Mayur Parekh, submitted this Thesis for approval on 2015-04-29 at 11:54.This Thesis was approved for publication on 2015-04-30 at 15:06.DSpace SAF Submission Ingestion Package generated from Vireo submission #8183 on 2015-07-22 at 14:19:02Made available in DSpace on 2015-07-22T22:34:01Z (GMT). No. of bitstreams: 2
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In situ phytoremediation of dyes from textile wastewater using garden ornamental plants, effect on soil quality and plant growth
No full textIn situ phytoremediation of dyes from textile wastewater was carried out in a high rate transpiration system ridges (91.4 m x 1.0 m) cultivated independently with Tagetes patula, Aster amellus, Portulaca grandiflora and Gaillardia grandiflora which reduced American Dye Manufacturers Institute color value by 59, 50, 46 and 73%, respectively within 30 d compared to dye accumulated in unplanted ridges. Significant increase in microbial count and electric conductivity of soil was observed during phytoremediation. Reduction in the contents of macro (N, P, K and C), micro (B, Cu, Fe and Mn) elements and heavy metals (Cd, As, Pb and Cr) was observed in the soil from planted ridges due to phyto-treatment. Root tissues of these plants showed significant increase in the specific activities of oxido-reductive enzymes such as lignin peroxidase, laccase, veratryl alcohol oxidase, tyrosinase and azo reductase during decolorization of textile dyes from soil. Anatomical studies of plants roots revealed the occurrence of textile dyes in tissues and subsequent degradation. A minor decrease in plant growth was also observed. Overall surveillance suggests that the use of garden ornamental plants on the ridges of constructed wetland for the treatment of dyes from wastewater along with the consortia of soil microbial flora is a wise and aesthetically pleasant strategy. (C) 2018 Elsevier Ltd. All rights reserved.Authors are thankful to University Grants Commission, New Delhi for special assistance program (DRS-SAP II, Grant No.SR/PURSE/2010). Sanjay P. Govindwar and Vishal V. Chandanshive are thankful to DBT (Grant No. BT/PR18965/BCE/8/1401/2016 dated 15-06-2017) for providing Research grants and Senior Research Fellowship. Rahul V. Khandare would like to thank Department of Biotechnology, New Delhi for financial assistance under Interdisciplinary programs on Life Sciences for advanced. Thanks, are also due to our field assistant Mr. Subhash K. Patil for maintaining and proper monitoring of plants during the on-field studies. The officials and personnel at CETP, Kagal, India also deserves thanks for administrative and technical support during this work
Telomerase-associated apoptotic events by mushroom Ganoderma lucidum on premalignant human urothelial cells
No full textAuthor name used in this publication: Mayur Danny I. Gohel2007-2008 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishedGreen (AAM
Abstraction Refinement Guided by a Learnt Probabilistic Model
No full textThe core challenge in designing an effective static program analysis is to find a good program abstraction -- one that retains only details relevant to a given query. In this paper, we present a new approach for automatically finding such an abstraction. Our approach uses a pessimistic strategy, which can optionally use guidance from a probabilistic model. Our approach applies to parametric static analyses implemented in Datalog, and is based on counterexample-guided abstraction refinement. For each untried abstraction, our probabilistic model provides a probability of success, while the size of the abstraction provides an estimate of its cost in terms of analysis time. Combining these two metrics, probability and cost, our refinement algorithm picks an optimal abstraction. Our probabilistic model is a variant of the Erdos-Renyi random graph model, and it is tunable by what we call hyperparameters. We present a method to learn good values for these hyperparameters, by observing past runs of the analysis on an existing codebase. We evaluate our approach on an object sensitive pointer analysis for Java programs, with two client analyses (PolySite and Downcast)
Degradation of ethyl paraben in aqueous medium using advanced oxidation processes: Efficiency evaluation of UV-C supported oxidants
No full textUV-C-mediated advanced oxidation processes (AOPs) for the enhanced degradation of ethyl paraben (EP) in the presence of oxidants such as persulfate (PS), hydrogen peroxide (H2O2) and peroxymonosulfate (PMS) were systematically investigated. The AOP treatments showed 98.1%, 97.0% and 81.3% degradation of EP with rates of 0.0373, 0.0339, and 0.0202 min(-1) within 90 min for UV/PS, UV/H2O2 and UV/PMS, respectively. Degradation rates of EP increased with higher initial dosages of oxidant(s), while the opposite trend was observed in the case of increasing initial EP concentration. Maximum EP removal was achieved at pH 6.5 for UV/PS and UV/PMS and at pH 3 for UV/H2O2. Humic acid significantly retarded the degradation of EP. Chloride (Cl-) and carbonate (CO32-) suppressed reaction rates using UV/PS and UV/H2O2 systems, whereas they elevated the degradation rates with UV/PMS treatment. Degradation of EP in each of the UV-C based AOPs followed pseudo-first-order kinetics. The use of ethanol and t-butyl alcohol as scavengers revealed that HO center dot and SO4 center dot- radicals were the major reactive radicals in UV/H2O2, UV/PS, and UV/PMS treatments. The efficiency (according to electrical energy per order and total cost per cubic meter) of the systems followed the order UV/PS > UV/H2O2 > UV/PMS. Thus, UV/PS process was more efficient and economical for EP degradation than the other processes examined in this study.This research was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MEST) (No. 2017R1A2B2004143). SD thanks the Science and Engineering Research Board (SERB), Department of Science and Technology (DST, Govt. of India, New Delhi) for financial support (PDF/2016/002182)
Synergistic cytotoxic effects of ganoderma lucidum and bacillus calmette guérin on premalignant urothelial HUC-PC cells and its regulation on proinflammatory cytokine secretion
No full textAuthor name used in this publication: John Wai-man YuenAuthor name used in this publication: Mayur-Danny I. Gohel2012-2013 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishedC
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