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  • 1
    Keywords: Biotic communities. ; Environmental monitoring. ; Environmental management. ; Environmental chemistry. ; Pollution. ; Ecosystems. ; Environmental Monitoring. ; Environmental Management. ; Environmental Chemistry. ; Pollution.
    Description / Table of Contents: Part I. Soil and Sediment Contaminants, Risk Assessment and Remediation -- Chapter 1. Introduction to Part I: Soil and Sediment Contaminants, Risk Assessment and Remediation -- Chapter 2. Combating Arsenic Pollution in Soil Environment via Alternate Agricultural Land Use -- Chapter 3. Temporal and Seasonal Variation in Leachate Pollution Index (LPI) in Sanitary Landfill Sites- A Case study of Baidyabati landfill, West Bengal, India -- Chapter 4.Quantification of Landfill Gas Emission and Energy Recovery Potential: A Comparative Assessment of LandGEM and MTM Model for Kolkata -- Chapter 5. Assessment of natural enrichment of heavy minerals along coastal placers of India: Role of lake and river mouth embayment and its implications -- Chapter 6. Assessment the Impact of Plastic Contaminated Fertilizers on Agricultural Soil Health: A Case Study in Memari II C.D.Block, Purba Bardhaman,West Bengal, India -- Chapter 7. Determining the Role of Leaf Relative Water Content and Soil Cation Exchange Capacity in Phytoextraction Process – Using Regression Modelling -- Chapter 8. Phytoremediation of Arsenic using Allium sativum as Model System -- Chapter 9. Spatio-temporal analysis of open waste dumping sites using Google Earth: A case study of Kharagpur City, India -- Part II. Water Contaminants, Risk Assessment and Remediation -- Chapter 10. Introduction to Part II: Water Contaminants, Risk Assessment and Remediation -- Chapter 11. Groundwater Arsenic Contamination Zone based on geospatial modeling, risk and remediation -- Chapter 12. Geospatial assessment of surface water pollution and industrial activities in Ibadan, Nigeria -- Chapter 13. Aquaculture-based water quality assessment and risk remediationalong the Rasulpur River belt, West Bengal -- Chapter 14. Heavy Metal Contamination in Groundwater and Impact on Plant and Human -- Chapter 15. Emerging Threats of Microplastic contaminant in freshwater environment -- Chapter 16. Exploring Particle Size Transport Variability of Suspended Sediments in two Alpine Catchments over the Lesser Himalayan Region, India -- Chapter 17. Salinity and corrosion potential of groundwater in Mewat district of Haryana, India -- Chapter 18. Threats to quality in the coasts of the Black Sea: heavy metal pollution of seawater, sediment, macro-algae and sea-grass -- Chapter 19. Geospatial assessment of groundwater quality for drinking through Water Quality Index and Human Health Risk Index in an upland area of Chotanagpur Plateau of West Bengal, India -- Chapter 20. Existence of Pharmaceuticals and Personal Care Products (PPCPs) in the conventional water treatment process -- Chapter 21. Arsenic-rich surface and groundwater around eastern parts of Rupnagar district, Punjab, India -- Part III. Environmental Contaminants, Impacts and Sustainable Management -- Chapter 22. Introduction to Part III: Environmental Contaminants, Risk Assessment and Remediation -- Chapter 23. Dynamics of ultra-fine particles in indoor and outdoor environments: a modelling approach to study the evolution of particle characteristics -- Chapter 24. Environmental impacts of coal-mining and coal-fired power-plant activities in a developing country with global context -- Chapter 25. Overview of Indoor air pollution: A human health perspective -- Chapter 26. Mineralogy and Morphological characterization of Technogenic Magnetic Particles (TMP) from industrial dust: Insights into environmental implications -- Chapter 27. Pesticides: Recent Updates on Types Toxicity and Bioremediation Strategies -- Chapter 28. Commonly available plant neem (Azadirachtaindica A. Juss) ameliorates dimethoate induced toxicity in climbing perch Anabas testudineus -- Chapter 29. Estimating Particulate Matter concentrations from MODIS AOD considering meteorological parameters using Random Forest Algorithm -- Chapter 30 Bio-monitoring and bioremediation of a trans-boundary river in India: Functional roles of benthic mollusks and fungi -- Chapter 31 Assessing the Maximum Aerobic Biodegradation Potential of Leaf Litter, an Organic Fraction of Municipal Solid Waste, Under Optimum Nutrient Conditions -- Chapter 32. Rising trend of air pollution and its decadal consequences on meteorology and thermal comfort over Gangetic West Bengal, India.
    Abstract: This book demonstrates the measurement, monitoring and mapping of environmental contaminants in soil & sediment, surface & groundwater and atmosphere. This book explores state-of-art techniques based on methodological and modeling in modern geospatial techniques specifically focusing on the recent trends in data mining techniques and robust modeling. It also presents modifications of and improvements to existing control technologies for remediation of environmental contaminants. In addition, it includes three separate sections on contaminants, risk assessment and remediation of different existing and emerging pollutants. It covers major topics such as: Radioactive Wastes, Solid and Hazardous Wastes, Heavy Metal Contaminants, Arsenic Contaminants, Microplastic Pollution, Microbiology of Soil and Sediments, Soil Salinity and Sodicity, Aquatic Ecotoxicity Assessment, Fluoride Contamination, Hydrochemistry, Geochemistry, Indoor Pollution and Human Health aspects. The content of this book will be of interest to researchers, professionals, and policymakers whose work involves environmental contaminants and related solutions.
    Type of Medium: Online Resource
    Pages: XX, 720 p. 225 illus., 185 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030634223
    Series Statement: Environmental Challenges and Solutions,
    DDC: 577
    Language: English
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  • 2
    Publication Date: 2024-04-05
    Description: This special issue reviews state-of-the-art approaches to the biophysical roots of cognition. These approaches appeal to the notion that cognitive capacities serve to optimize responses to changing external conditions. Crucially, this optimisation rests on the ability to predict changes in the environment, thus allowing organisms to respond pre-emptively to changes before their onset. The biophysical mechanisms that underwrite these cognitive capacities remain largely unknown; although a number of hypotheses has been advanced in systems neuroscience, biophysics and other disciplines. These hypotheses converge on the intersection of thermodynamic and information-theoretic formulations of self-organization in the brain. The latter perspective emerged when Shannon’s theory of message transmission in communication systems was used to characterise message passing between neurons. In its subsequent incarnations, the information theory approach has been integrated into computational neuroscience and the Bayesian brain framework. The thermodynamic formulation rests on a view of the brain as an aggregation of stochastic microprocessors (neurons), with subsequent appeal to the constructs of statistical mechanics and thermodynamics. In particular, the use of ensemble dynamics to elucidate the relationship between micro-scale parameters and those of the macro-scale aggregation (the brain). In general, the thermodynamic approach treats the brain as a dissipative system and seeks to represent the development and functioning of cognitive mechanisms as collective capacities that emerge in the course of self-organization. Its explicanda include energy efficiency; enabling progressively more complex cognitive operations such as long-term prediction and anticipatory planning. A cardinal example of the Bayesian brain approach is the free energy principle that explains self-organizing dynamics in the brain in terms of its predictive capabilities – and selective sampling of sensory inputs that optimise variational free energy as a proxy for Bayesian model evidence. An example of thermodynamically grounded proposals, in this issue, associates self-organization with phase transitions in neuronal state-spaces; resulting in the formation of bounded neuronal assemblies (neuronal packets). This special issue seeks a discourse between thermodynamic and informational formulations of the self-organising and self-evidencing brain. For example, could minimization of thermodynamic free energy during the formation of neuronal packets underlie minimization of variational free energy?
    Keywords: RC321-571 ; Q1-390 ; consciousness ; understanding ; Markov blanket ; Hebbian assembly ; neuronal packet ; Bayesian brain ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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  • 3
    Publication Date: 2023-12-21
    Description: Immune molecules have evolved to distinguish “self “molecules from “non-self”, “altered self” and “danger” molecules. Recognition is mediated via interactions between pattern recognition receptor molecules (PPRs) and their ligands, which include hydrophobic and electrostatic interactions between amino acid residues on the PPRs and uncharged or charged groups on amino acid residues, sugar rings or DNA/RNA molecules. Recognition in innate immunity range from cases (C1q, mannin-binding protein etc) where recognition is orchestrated by interaction between many ligands with one receptor molecule, and density of interaction is necessary for strong specific recognition, distinct from weak non-specific binding, and cases such as TLRs and NLRs where recognition involves complexation of single receptor and ligand, followed by oligomerisation of the receptor molecule. The majority of PPR molecules bind and recognise a wide variety of ligands, e.g TLR4 recognises LPS (gram negative bacteria), Lipotechoic acid (gram positive bacteria), heat shock protein hsp60, respiratory syncytial virus fusion protein etc, molecules that are structurally dissimilar to each other. This indicates considerable flexibility in their binding domains (amino acid residue variations) and modes (hydrophobic and charged, direct or mediated via an adaptor molecule). However, in many cases there is a dearth of structural and molecular data available, required to delineate the mechanism of ligand binding underlining recognition in pathogen receptors in innate immunity. Insights into requirements of conformation, charge, surface etc in the recognition and function of innate immunity receptors and their activation pathways, based on current data can suggest valuable avenues for future work.
    Keywords: R5-920 ; RC581-607 ; HIV-1 ; host-pathogen interactions ; zebrafish model system ; innate immunity ; protein-protein interaction ; complement ; malaria ; pattern recognition ; bic Book Industry Communication::M Medicine
    Language: English
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  • 4
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of the American Chemical Society 76 (1954), S. 2966-2968 
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    The @journal of organic chemistry 19 (1954), S. 1516-1522 
    ISSN: 1520-6904
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Metroeconomica 6 (1954), S. 0 
    ISSN: 1467-999X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Economics
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 174 (1954), S. 40-41 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] X-ray and differential thermal studies of some Indian bentonites and soils have yielded interesting results in this connexion. The samples studied are bentonites from (i) Kashmir, (ii) Nimlinadi and (iii) Barme, and black cotton soils from (iv) Satara and (v) Indore. The X-ray pattern of the clay ...
    Type of Medium: Electronic Resource
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  • 8
    Publication Date: 2022-05-26
    Description: Author Posting. © American Geophysical Union, 2020. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Oceans 125(12),(2020): e2020JC016271, https://doi.org/10.1029/2020JC016271.
    Description: Asian summer monsoon has a planetary‐scale, westward propagating “quasi‐biweekly” mode of variability with a 10–25 day period. Six years of moored observations at 18°N, 89.5°E in the north Bay of Bengal (BoB) reveal distinct quasi‐biweekly variability in sea surface salinity (SSS) during summer and autumn, with peak‐to‐peak amplitude of 3–8 psu. This large‐amplitude SSS variability is not due to variations of surface freshwater flux or river runoff. We show from the moored data, satellite SSS, and reanalyses that surface winds associated with the quasi‐biweekly monsoon mode and embedded weather‐scale systems, drive SSS and coastal sea level variability in 2015 summer monsoon. When winds are calm, geostrophic currents associated with mesoscale ocean eddies transport Ganga‐Brahmaputra‐Meghna river water southward to the mooring, salinity falls, and the ocean mixed layer shallows to 1–10 m. During active (cloudy, windy) spells of quasi‐biweekly monsoon mode, directly wind‐forced surface currents carry river water away to the east and north, leading to increased salinity at the moorings, and rise of sea level by 0.1–0.5 m along the eastern and northern boundary of the bay. During July–August 2015, a shallow pool of low‐salinity river water lies in the northeastern bay. The amplitude of a 20‐day oscillation of sea surface temperature (SST) is two times larger within the fresh pool than in the saltier ocean to the west, although surface heat flux is nearly identical in the two regions. This is direct evidence that spatial‐temporal variations of BoB salinity influences sub‐seasonal SST variations, and possibly SST‐mediated monsoon air‐sea interaction.
    Description: The authors thank the Ministry of Earth Sciences (MoES) institutes NIOT and INCOIS, and the Upper Ocean Processes (UOP) group at WHOI for design, integration, and deployment of moorings in the BoB. The WHOI mooring was deployed from the ORV Sagar Nidhi and recovered from the ORV Sagar Kanya—we thank the officers, crew and science teams on the cruises for their support. Sengupta, Ravichandran and Sukhatme acknowledge MoES and the National Monsoon Mission, Indian Institute of Tropical Meteorology (IITM), Pune, for support; Lucas and Farrar acknowledge the US Office of Naval Research for support of ASIRI through grants N00014‐13‐1‐0489, N0001413‐100453, N0001417‐12880. We thank S. Shivaprasad, Dipanjan Chaudhuri and Jared Buckley for discussion on ocean currents and Ekman flow, and Fabien Durand for discussion on sea level. JSL would like to thank the Divecha Center for Climate Change, IISc., for support. DS acknowledges support from the Department of Science and Technology (DST), New Delhi, under the Indo‐Spanish Programme.
    Description: 2021-05-16
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 9
    Publication Date: 2022-05-27
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Hawk, J. D., Wisdom, E. M., Sengupta, T., Kashlan, Z. D., & Colon-Ramos, D. A. A genetically encoded tool for reconstituting synthetic modulatory neurotransmission and reconnect neural circuits in vivo. Nature Communications, 12(1), (2021): 4795, https://doi.org/10.1038/s41467-021-24690-9.
    Description: Chemogenetic and optogenetic tools have transformed the field of neuroscience by facilitating the examination and manipulation of existing circuits. Yet, the field lacks tools that enable rational rewiring of circuits via the creation or modification of synaptic relationships. Here we report the development of HySyn, a system designed to reconnect neural circuits in vivo by reconstituting synthetic modulatory neurotransmission. We demonstrate that genetically targeted expression of the two HySyn components, a Hydra-derived neuropeptide and its receptor, creates de novo neuromodulatory transmission in a mammalian neuronal tissue culture model and functionally rewires a behavioral circuit in vivo in the nematode Caenorhabditis elegans. HySyn can interface with existing optogenetic, chemogenetic and pharmacological approaches to functionally probe synaptic transmission, dissect neuropeptide signaling, or achieve targeted modulation of specific neural circuits and behaviors.
    Description: This work was initiated in the Grass Laboratory at the Marine Biological Laboratories (MBL) with funding through a Grass Fellowship awarded to J.D.H. Thanks to Richard Goodman (OHSU) for encouragement during the conceptualization of the fellowship application, and the 2019 Grass Fellows, Mel Coleman (Grass Director), and Christophe Dupré (Associate Director) for advice and support during the summer fellowship. We thank the MBL Division of Education and participants in the Vendor Equipment Loan Program. Special thanks to Sutter Instruments, who generously provided all electrophysiology equipment and substantial on-site assistance, and Zeiss, who provided on-site assistance at MBL. We thank Zhao-Wen Wang and Ping Liu (UConn) for guidance and training in patch-clamp electrophysiology, as well as providing Neuro2a cells. We thank Rob Steele (UCI) for supplying Hydra, as well as advice and inspiration on Hydra biology. We thank members of the Colón-Ramos lab and Hari Shroff (NIH) for thoughtful comments on the manuscript. We thank Michael Koelle and Andrew Olson (Yale University) for advice and reagents regarding serotonin rewiring experiments. We also thank Steve Flavell (MIT) for ideas and reagents regarding the experiments associated with del-7. We thank Life Science Editors for editing assistance. D.A.C.-R. is an MBL Fellow. Research in the D.A.C.-R. lab was supported by NIH R01NS076558, DP1NS111778, and by an HHMI Scholar Award.
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 10
    Publication Date: 1954-10-01
    Print ISSN: 0031-899X
    Electronic ISSN: 1536-6065
    Topics: Physics
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