814 research outputs found
Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012)
No full textEmerging trends in agri-nanotechnology: fundamental and applied aspects/ editors: Harikesh B. Singh, Sandhya Mishra, Leonardo Fernandes Fraceto, and Renata de Lima.
No full textIncludes bibliographical references and index.This book provides a thorough analysis of the progressive journey in agriculture from green revolution to nano revolution, with recommendations of certain key points to be addressed in current and future agri-nanotechnology research, on the basis of recognized knowledge gaps. It is hoped that the current volume will serve as a reference book for students, scientists, professors, teachers and researchers who are involved in the study and research on the various aspects of agri-nanotechnology.Rewinding the History of Agriculture and Emergence of Nanotechnology in Agriculture / Sandhya Mishra, Leonardo Fernandes Fraceto, Xiaodong Yang and Harikesh B. Singh -- Use of Nanomaterials in Agriculture: Potential Benefits and Challenges / Daiana Silva Ávila, Solange Cristina Garcia, Marcelo Dutra Arbo, Jessica Nardi and Maurício Tavares Jacques -- Green Nanotechnology for Enhanced Productivity in Agriculture / Kelvii Wei Guo -- Nanonutrient from Fungal Protein: Future Prospects on Crop Production / J.C. Tarafdar and Indira Rathore -- Multifarious Applications of Nanotechnology for Enhanced Productivity in Agriculture / K.S. Subramanian, K. Raja and S. Marimuthu -- Different Methods of Nanoparticle Synthesis and Their Comparative Agricultural Applications / Kunzes Dolma -- Nanotoxicity to Agroecosystem: Impact on Soil and Agriculture / Mahendra Rai, Aniket Gade, Avinash P. Ingle, Indarchand Gupta, Raksha Pandit and Carolina Alves dos Santos -- Factors Affecting the Fate, Transport, Bioavailability and Toxicity of Nanoparticles in the Agroecosystem / Sudheer K. Yadav, Jai Singh Patel, Gagan Kumar, Arpan Mukherjee, Anupam Maharshi, Birinchi K. Sarma, Surendra Singh and Harikesh B. Singh -- Nanotechnology: Comprehensive Understanding of Interaction, Toxicity and the Fate of Biosynthesized Nanoparticles in the Agroecosystem / Rahul Singh Rajput, Jyoti Singh, Prachi Singh, Manoj Kumar Chitara, Ratul Moni Ram, Sandhya Mishra and Harikesh B. Singh -- Global Market of Nanomaterials and Colloidal Formulations for Agriculture: An Overview / Estefânia V.R. Campos, Jhones L. de Oliveira, Leonardo Fernandes Fraceto and Renato Grillo -- The Responsible Development of Nanoproducts: Lessons from the Past / Ankit Srivastava and Arohi Srivastava -- Nanotechnology Application and Emergence in Agriculture Semih Otles and Buket Yalcin Sahyar -- Positive and Negative Effects of Nanotechnology / Amira S. Soliman -- Vanguard Nano(bio)sensor Technologies Fostering the Renaissance of Agriculture / Amina Antonacci, Fabiana Arduini and Viviana Scognamiglio -- Current Trends and Future Priorities of Nanofertilizers / Carolina Castro Bueno -- Biosafety and Regulatory Aspects of Nanotechnology in Agriculture and Food / Akansha Jain, Harikesh B. Singh and Sampa Das -- Implication of Nanotechnology for the Treatment of Water and Air Pollution / R.K. Chaturvedi -- Role of Nanotechnology in Insect Pest Management / Deepika Chauhan, N.N. Singh and Vijay Kumar Mishra.1 online resource (xix, 302 pages
Visible Light Induced Photocatalytic Activity of Polyaniline Modified TiO2 and Clay-TiO2 Composites
No full textSonochemical synthesis of Titania, Titania-Polyaniline, and Clay-Titania-Polyaniline composites were car-ried out. The composite systems were characterized by various physico-chemical techniques. Photocatalytic activity was tested selecting some common dyes as substrates. Composites exhibited higher activity for the degradation of dyes under visible light in most of the cases. © 2013 BCREC UNDIP. All rights reservedReceived: 15th May 2013; Revised: 1st September 2013; Accepted: 3rd October 2013[How to Cite: Sandhya, K.P., Haridas, S., Sugunan, S. (2013). Visible Light Induced Photocatalytic Activity of Polyaniline Modified TiO2 and Clay-TiO2 Composites. Bulletin of Chemical Reaction Engineering & Catalysis, 8 (2): 145-153. (doi:10.9767/bcrec.8.2.4949.145-153)][Permalink/DOI: http://dx.doi.org/10.9767/bcrec.8.2.4949.145-153]</p
Radical Propagation Kinetics of N-Vinylpyrrolidone in Organic Solvents Studied by Pulsed-Laser Polymerization-Size-Exclusion Chromatography (PLP-SEC)
No full textPulsed-laser polymerization with subsequent analysis of the polymer molar mass distribution by size-exclusion chromatography, PLP-SEC, is used to measure the propagation rate coefficient, k(p), of N-vinylpyrrolidone (NVP) in a series of organic solvents, varying the NVP concentration from 5 to 100 wt% and varying the temperature between-5 and +80 degrees C. In contrast to the 20-fold increase observed in aqueous solution upon decreasing the NVP concentration from bulk to dilute conditions, the k(p) values of NVP in butyl acetate, iso-propyl acetate, N-ethylpyrrolidone, and N-ethylformamide stay within 20% of the bulk value and exhibit no significant dependence on monomer concentration. The k(p) behavior of NVP in methanol and n-butanol is intermediate between the one in water and in the other organic solvents, with k(p) increasing by about a factor of 2 upon lowering the monomer concentration from bulk to 5 wt% NVP. The activation energies for propagation in organic solvents agree within experimental uncertainty with the value reported for bulk NVP. The data demonstrate that hydrogen bonding is responsible for the increase in k(p) upon dilution, with this effect being much stronger in an aqueous environment than in a solution of alcohol
Effect of precursors on the synthesis of copper sulfide nanostructures using refluxing method
No full textStudies on Processing and Preservation of Value Added Prodcuts from Black Grapes (Vitis Vinefera L).
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Kinetics and Modeling of Batch and Semibatch Aqueous-Phase NVP Free-Radical Polymerization
No full textAqueous-phase free-radical batch and semibatch polymerizations of NVP have been carried out with varying initial monomer and initiator concentrations. The rate of conversion was observed to increase as the initial monomer concentration was lowered, a result explained by the dependence of the propagation rate coefficient, k(p), on monomer concentration. A kinetic model with termination and conversion-dependent k(p), rate coefficients taken from independent studies provides a good description of the conversion profiles. A reasonable representation of polymer molecular-weight averages and the complete MWD was obtained by assuming that the rate coefficient for transfer to monomer also varies as a function of monomer concentration and that a small amount of chain transfer to polymer occurs
Correction: Gut-associated cGMP mediates colitis and dysbiosis in a mouse model of an activating mutation in GUCY2C
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Correction|October 06 2021
Correction: Gut-associated cGMP mediates colitis and dysbiosis in a mouse model of an activating mutation in GUCY2C
Vishwas Mishra, Avipsa Bose, Shashi Kiran, Sanghita Banerjee, Idrees A. Shah, Pooja Chaukimath, Mudasir M. Reshi, Swarna Srinivas, Anaxee Barman, Sandhya S. Visweswariah
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Author and Article Information
Vishwas Mishra
Avipsa Bose
Shashi Kiran
Sanghita Banerjee
Idrees A. Shah
Pooja Chaukimath
Mudasir M. Reshi
Swarna Srinivas
Anaxee Barman
Sandhya S. Visweswariah
Online ISSN: 1540-9538
Print ISSN: 0022-1007
© 2021 Mishra et al.
This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).
J Exp Med (2021) 218 (11): e2021047909292021c.
https://doi.org/10.1084/jem.2021047909292021c
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Corrected article Gut-associated cGMP mediates colitis and dysbiosis in a mouse model of an activating mutation in GUCY2C
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Vol. 218, No. 11 | 10.1084/jem.20210479 | September 21, 2021
The authors regret that the legends to Fig. 3 (C, D, and I) and Fig. 4 (B, C, and E) did not originally specify that the values shown are adjusted P values. In addition, the colors used in the bar graph in Fig. 4 B were not correct nor defined. The corrected legends, with new text underlined, and corrected Fig. 4 are shown here.
The errors appear only in PDFs downloaded before September 27, 2021
Pneumatically-actuated acoustic metamaterials based on helmholtz resonators
No full textMetamaterials are periodic structures which offer physical properties not found in nature. Particularly, acoustic metamaterials can manipulate sound and elastic waves both spatially and spectrally in unpreceded ways. Acoustic metamaterials can generate arbitrary acoustic bandgaps by scattering sound waves, which is a superior property for insulation properties. In this study, one dimension of the resonators (depth of cavity) was altered by means of a pneumatic actuation system. To this end, metamaterial slabs were additively manufactured and connected to a proportional pressure control unit. The noise reduction performance of active acoustic metamaterials in closed-and open-space configurations was measured in different control conditions. The pneumatic actuation system was used to vary the pressure behind pistons inside each cell of the metamaterial, and as a result to vary the cavity depth of each unit cell. Two pressures were considered, P = 0.05 bar, which led to higher depth of the cavities, and P = 0.15 bar, which resulted in lower depth of cavities. The results showed that by changing the pressure from P = 0.05 (high cavity depth) to P = 0.15 (low cavity depth), the acoustic bandgap can be shifted from a frequency band of 150-350 Hz to a frequency band of 300-600 Hz. The pneumatically-actuated acoustical metamaterial gave a peak attenuation of 20 dB (at 500 Hz) in the closed system and 15 dB (at 500 Hz) in the open system. A step forward would be to tune different unit cells of the metamaterial with different pressure levels (and therefore different cavity depths) in order to target a broader range of frequencies.Novel Aerospace Material
Enhancing energy demand forecasting and data imputation using deep learning : an integrated approach
No full textThis PhD thesis introduces an integrated approach that leverages deep learning
techniques to advance household electricity demand forecasting and data imputation within the UK energy sector. The research focuses on creating a novel system
incorporating state-of-the-art machine learning solutions for electricity demand processing and prediction. The study involves data collection from appropriate electricity demand datasets, conducting comprehensive exploratory data analysis to uncover
underlying patterns. A framework is established to process these datasets, encompassing data imputation, outlier handling, transformations, and feature scaling.
A novel missing value imputation model is developed, employing a Transformer neural network and a K-means clustering algorithm to address missing data effectively.
Subsequently, a forecasting framework for short-term residential load prediction is
presented. This modelling framework integrates a Bayesian optimisation strategy,
feature decomposition techniques, feature engineering, and percentile-based bias correction algorithms with a CNN-LSTM network to enhance prediction accuracy.
The research contributes significantly to the field of household electricity demand
forecasting and data imputation by offering a scalable and transferable framework.
The application of these methodologies yields valuable insights, not only for the
UK energy sector but also for broader applications, enabling precise predictions
and efficient demand data processing. The findings promote energy efficiency and
sustainable energy management practices.Engineering and Physical Sciences Research Council (EPSRC) funding
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