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  • 1
    Keywords: Hochschulschrift
    Type of Medium: Book
    Pages: 52 S , graph. Darst., Kt
    ISBN: 9155429971
    Series Statement: Acta Universitatis Upsaliensis 407
    DDC: 013.378485
    Language: English
    Note: Literaturverz. S. 46 - 52 , Vollst. zugl.: Uppsala, Univ., Diss., 1992
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  • 2
    Online Resource
    Online Resource
    Milton :CRC Press LLC,
    Keywords: Atomic structure-Measurement-Data processing. ; Electronic books.
    Description / Table of Contents: Computational Atomic Structure: An MCHF Approach deals with the field of computational atomic structure, specifically with the multiconfiguration Hartree-Fock (MCHF) approach and the manner in which this approach is used in modern physics.
    Type of Medium: Online Resource
    Pages: 1 online resource (292 pages)
    Edition: 1st ed.
    ISBN: 9781351458924
    DDC: 539.14
    Language: English
    Note: Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- 1: Introduction -- 1.1 Introduction -- 1.2 Properties of the Wave Function -- 1.3 One-Electron Systems -- 1.4 Many-Electron Systems -- 1.5 The Variational Method -- 1.6 Summary -- 1.7 Exercises -- 2: Configuration State Functions and Matrix Elements of the Hamiltonian -- 2.1 Configuration State Functions -- 2.2 Matrix Elements of the Hamiltonian -- 2.3 Exercises -- 3: Hartree-Fock Calculations -- 3.1 The Hartree-Fock Approximation -- 3.2 The Hartree-Fock Equation for 1s 2p 3P -- 3.3 The Self-Consistent Field Procedure -- 3.4 Hartree-Fock Solutions for the Ground State of Lithium -- 3.5 The Hartree-Fock Solutions for 1s2s 3S and 1S States in He -- 3.6 The General Hartree-Fock Equations -- 3.7 Brillouin's Theorem -- 3.8 Term Dependence -- 3.9 Iso-Electronic Sequences and Orbital Collapse -- 3.10 Quantum Defects and Rydberg Series -- 3.11 Computational Aspects -- 3.12 Exercises -- 4: Multiconfiguration Hartree-Fock Wave Functions -- 4.1 Correlation in Many-Electron Atoms -- 4.2 Z-Dependent Perturbation Theory -- 4.3 Pair-Correlation Expansions -- 4.4 Complete and Restricted Active Spaces -- 4.5 The MCHF Approximation -- 4.6 a Non-Orthogonal Extension -- 4.7 MCHF Calculation for 3s2 3p 2P in AI -- 4.8 Properties of MCHF Wave Functions -- 4.9 Computational Aspects -- 4.10 Exercises -- 5: Two-Electron Systems -- 5.1 Non-Uniqueness of the Wave Function -- 5.2 The Reduced Form -- 5.3 Rydberg Series -- 5.4 Rydberg Series with Perturber -- 5.5 The GBT Method -- 5.6 Exercises -- 6: Correlation in Many-Electron Systems -- 6.1 Zero-Order Wave Functions -- 6.2 First-Order Wave Functions -- 6.3 Z-Dependence of Atomic Properties -- 6.4 Exercises -- 7: Relativistic Effects -- 7.1 Introduction -- 7.2 The Breit-Pauli Hamiltonian. , 7.3 Breit-Pauli Wave Functions -- 7.4 Fine-Structure Levels -- 7.5 Computational Aspects -- 7.6 Fine Structure in Helium -- 7.7 The Blume-Watson Approach -- 7.8 Systems with Two Valence Electrons -- 7.9 A Limited Model for Core-Valence Correlation -- 7.10 Exploring Complex Spectra -- 7.11 Z-Dependence of Relativistic Effects -- 7.12 Exercises -- 8: Isotope and Hyperfine Effects -- 8.1 The Effects of the Nucleus -- 8.2 Mass Shift -- 8.3 Field Shift -- 8.4 Level Isotope Shift -- 8.5 Transition Isotope Shift -- 8.6 Field Shift Correction for 3d8(3F)4p 4D5/2 in Ni II -- 8.7 Hyperfine Structure -- 8.8 Hyperfine Interaction -- 8.9 Angular Properties of the Hyperfine States -- 8.10 First-Order Hyperfine Energies -- 8.11 First-Order Wave Functions -- 8.12 Computational Aspects -- 8.13 Configuration Expansions for Hyperfine Structure -- 8.14 Polarization Effects -- 8.15 Exercises -- 9: Allowed and Forbidden Transitions -- 9.1 Introduction -- 9.2 Matrix Elements for Transition Operators -- 9.3 Selection Rules for Radiative Transitions -- 9.4 Computational Aspects -- 9.5 Allowed Transitions -- 9.6 LS Calculations for Allowed Transitions -- 9.7 Cancellations in the Transition Integral -- 9.8 Core-Valence Effects on Line Strength -- 9.9 Spin-Forbidden Transitions -- 9.10 Branching Ratios in Complex Spectra -- 9.11 Forbidden Lines -- 9.12 Hyperfine-Induced Transition -- 9.13 Z-Dependence of Transition Properties -- 9.14 Exercises -- 10: MCHF Continuum Wave Functions -- 10.1 Continuum Processes -- 10.2 Continuum Functions -- 10.3 Photoionization or Photodetachment -- 10.4 Autoionization -- 10.5 Computational Aspects -- 10.6 Exercises -- Appendices -- A: Angular Momentum Theory -- A.1 Angular Momentum Operators -- A.2 Coupling of Two Angular Momenta -- A.3 Coupling of Three and Four Angular Momenta -- A.4 Spherical Tensor Operators -- A.5 The Wigner-Eckart Theorem. , A.6 Matrix Elements of Tensor Operators Between Coupled Functions -- B: The Dirac and Breit-Pauli Theory -- B.1 Introduction -- B.2 Dirac Theory of One-Electron Systems -- B.3 The Relativistic Wave Equation for Many-Electron Systems -- C: Fundamental Constants -- C.1 Atomic Units -- C.2 Additional Units -- D: Program Input Parameters -- References -- Index.
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  • 3
    Online Resource
    Online Resource
    New York, NY :Springer,
    Keywords: Aerosols -- Technological innovations. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (340 pages)
    Edition: 1st ed.
    ISBN: 9781441955821
    Series Statement: Integrated Analytical Systems Series
    Language: English
    Note: Intro -- Preface -- Acknowledgments -- Contents -- Contributors -- List of Abbreviation -- About the Editors -- Part I -- Introduction to Bioaerosol Detection -- Chapter 1 -- Introduction and Bioaerosol Detection Terminology -- The Biological Warfare Background -- Detection vs Identification -- Levels of Detection -- Key Parameters and Terminologies of Bioaerosol Detection Systems -- Referhences -- Chapter 2 -- History of the Early Biodetection Development -- Introduction -- Definition of Terms -- Early Attempts Using Light Scatter Optical Particle Counting -- Bacterial Shape Analysis -- Origins of Luminol -- Lessons Learnt -- Revisiting Light Scatter Measurements and Optical Particle Counting -- Flow Cytometry -- Intrinsic Fluorescence Measurement in a Single Spore -- Ambient Air Interference with Optical Measurements -- Conclusions -- References -- Chapter 3 -- Physical and Biological Properties of Bioaerosols -- Introduction -- Types of Bioaerosols -- Bacteria and Archea -- Viruses -- Pollen -- Fungi -- Microalgae and Cyanobacteria -- Allergens, Lichens, Fragments and Other Bioaerosols -- Sources, Transport and Sinks -- Sources-Primary Emission -- Transformation and Aging during Transport -- Deposition -- Health Effects -- Historical Background -- Health Effects from Exposure -- Indoor and Workplace Bioaerosols -- Hygiene Hypothesis -- Atmospheric and Ecosystem Impact -- Conclusion -- References -- Chapter 4 -- Dispersion in the Atmosphere -- Timescales in the Different Layers -- Dispersion Processes in PBL -- Other Processes that Influences the Concentration -- Examples of Dispersion Model Results -- On Modelling in Meteorology -- References -- Chapter 5 -- Aerosol Sampling and Transport -- Introduction -- Aerodynamics of Bioaerosol Particles -- Sampling of Particles -- Sampling from a Flowing Gas -- Sampling in Calm Air. , Transport of Particles -- Gravitational Settling -- Turbulent Inertial Deposition -- Inertial Deposition in a Bend -- Inertial Deposition in Contractions -- General Guidelines -- Coarse Particle Concentrator -- Transfer of Particles into Detection Volume -- References -- Part II -- Principles and Technologies for Bioaerosol Detection -- Chapter 6 -- Light Scattering and Particle Charge Techniques for the Detection of Biological Warfare Agents -- Background -- The Approach to Real Time Detection -- Options for Particle Characterization -- Light Scattering -- Particle Shape from Scattered Light -- Measurement Technique -- Data Acquisition in Relation to Shape Resolution -- Data Display for Particle Shape and Size -- Measurement of Particle Charge -- Measurement Techniques -- Data Analysis Techniques -- Statistical Analysis -- Knowledge Based Techniques -- Learning Machines -- Artificial Neural Networks -- Support Vector Machines -- Future Trends and Developments -- Higher Resolution Measurements -- Measurement of Other Parameters -- Networking -- Low Cost Sensors -- Charge Measurement -- Data Analysis -- References -- Chapter 7 -- Bioaerosol Detection with Fluorescence Spectroscopy -- Introduction -- Fundamentals of Fluorescence -- Fluorescence from Biological Molecules -- Overview of Fluorescence-Based Bioaerosol Detection Systems -- Fluorescence Aerosol Particle Sensor -- Biological Agent Warning Sensor -- Biological Agent Real Time Sensor -- Defense Advanced Research Projects Agency Program SUVOS -- Yale University and Army Research Laboratory -- Naval Research Laboratory -- MIT Lincoln Laboratory -- UK Systems -- Swedish Defence Research Agency (FOI) -- European Defence Agency Project FABIOLA -- Deep UV Excitation for Fluorescence and Raman Detection -- Examples of Commercially Available Systems -- VeroTect -- ENVI BioScout -- IMD -- IBAC. , Design Considerations of Fluorescence-Based Systems -- Conclusions and Outlook -- References -- Chapter 8 -- Bioaerosol Detection with Atomic Emission Spectroscopy -- Introduction to Atomic Emission Spectroscopy-Based Methods -- Flame Emission Spectroscopy -- General Characteristics -- Flame Emission Spectroscopy Transformation Processes -- Flame Spectrophotometer for Bioaerosol Detection -- Bioaerosol Detection -- Bacterium Spectral Analysis -- Biological Atmospheric Background -- Biological Aerosol Detection in the Field -- Conclusions and Prospects -- Laser-Induced Breakdown Spectroscopy (LIBS) -- General Characteristics -- Basic Experimental Set-Up -- Laser Properties -- Detection Parameters (Delay and Integration Time) -- LIBS on Bio-Aerosol Particles -- Signal Processing of Emission Spectroscopy Data -- General Conclusion and Outlooks -- References -- Chapter 9 -- Mass Spectrometry Techniques in the Analysis of Bioaerosols: Development and Advancement -- Introduction -- Overview of Bioaerosol MS -- Particle Analysis by MS (PAMS) -- Early Bioaerosol Ion Trap MS -- Bioaerosol Matrix-Assisted Laser Desorption-Ionization Time of Flight Mass Spectroscopy -- Initial Studies -- Reflectron Time of Flight Mass Spectroscopy -- Ionization Efficiency -- Matrix Coating of Bioaerosol in the Vapor Phase -- Nanoparticle Bioaerosol -- Addition of Ultraviolet Fluorescence Triggering -- Single Particle vs. Bulk Mass Spectra -- Bioaerosol Mass Spectrometry -- Initial System -- Isotope-Labeled Growth Media -- Sensitivity Parameter -- Single Particle Aerosol Mass Spectroscopy -- Off-Line Aerosol Analysis of Bacterial Biomarkers -- Detection of Presence of Gram-Positive and -Negative Bacteria in Dust From Inherent Biochemicals -- Conclusions -- References -- Chapter 10 -- Detection of Bioaerosols Using Raman Spectroscopy -- Introduction to Raman Spectroscopy. , Historical Perspective and Basic Principles -- Comparison with Infrared Spectroscopy -- Scattered Raman Signal and Sample Requirements -- Type of Information Obtained from Raman Spectroscopy -- Applications -- Properties and Preparations of Aerosols -- Technologies for Raman Spectroscopy -- Bioaerosol Detection Using Raman Spectroscopy -- Spontaneous Raman Spectroscopy -- Bioaerosol Detection by RS -- Resonance and UV Raman Spectroscopy -- Bioaerosol Detection by RR in the UV Region -- Coherent Anti-Stokes Raman Spectroscopy -- Bioaerosol Detection by CARS -- Surface-Enhanced Raman Spectroscopy -- Bioaerosol Detection by SERS -- Other Raman Variations -- Optimal Control in Raman Analysis -- Data Analysis -- Outlook -- References -- Chapter 11 -- Biological Detection with Terahertz Spectroscopy -- Basic Principles and Background Overview -- Characterization Techniques -- Sub-THz Spectroscopy of Biological Macromolecules and Bioparticles. Sensitivity of THz Characterization and Data Analysis -- THz Characterization of Bioparticles in Aerosols -- Highly Resolved Sub-THz Characterization of Biological Molecules and Biological Cells/Spores -- Conclusions -- References -- Part III -- Standoff Sensor Systems for Bioaerosol Detection -- Chapter 12 -- Introduction to Stand-Off Detection of Biological Warfare Agents -- Introduction to Stand-Off Detection of Biological Warfare Agents -- Chapter 13 -- Spectrally Resolved Laser-Induced Fluorescence Lidar Based Standoff Biodetection System -- Introduction -- Fundamentals -- Simplified Model Derivation -- Robustness, Specificity, and Sensitivity of Spectrometric LIF Lidars in Standoff Bioaerosol Detection -- Robustness of Fluorescence Spectral Features -- Signature Specificity, Excitation Wavelengths, and Spectral Resolution -- Standoff Spectral LIF Sensor Sensitivity Limit -- Spectral Classification of Bioaerosols. , Signal Description -- Signal Mean and Covariance Matrix Estimation -- Fluorescence from Diverse Atmospheric Aerosols -- Classification Procedure -- Computation of the Mean and Covariance from the Database -- The Transmittance -- Database of Materials -- Conclusions -- References -- Chapter 14 -- Standoff Aerosol Size Determination based on Multiple-Field-Of-View of Elastic Scattering -- Introduction -- Theory -- Limits of the Method -- Experimental Validation -- Discussion and Conclusions -- References -- Part IV -- Outlook and Challenges -- Chapter 15 -- Trends in Biological Detection -- References -- Index.
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  • 4
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    PANGAEA
    In:  Supplement to: Pansch, Christian; Jonsson, Per R; Berglin, Mattias; Pinori, Emiliano; Wrange, Anna-Lisa (2017): A new flow-through bioassay for testing low-emission antifouling coatings. Biofouling, 1-11, https://doi.org/10.1080/08927014.2017.1349897
    Publication Date: 2023-01-13
    Description: Current antifouling technologies are based on the continuous release of biocides into the water, and consequently discharge into the environment. Major efforts on more environmentally friendly coatings require efficient testing in laboratory assays, followed by field studies. Barnacles are important fouling organisms worldwide, largely increasing the hydrodynamic drag of ships and damaging coatings on underwater surfaces, and thus extensively used as a model in antifouling research, mostly in static, lab-based systems. Reliable flow-through test assays for the screening of biocide-containing antifouling paints, however, are rare. Herein, a flow-through bioassay was developed to screen for diverse low-release biocide paints, evaluating their effects on pre- and post-settlement traits in barnacles. The assay distinguishes between the effects from direct surface contact and bulk-water effects, crucial when developing low-emission antifouling coatings. In conclusion, this new flow-through bioassay adds a new tool for rapid lab-based first-stage screening of candidate compounds and novel antifouling formulations.
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 5
    Publication Date: 2023-12-04
    Description: In the present study, we collected data on biofouling in 17 marinas along the Baltic Sea coast during three consecutive boating seasons (May-October 2014, 2015 and 2016). In this context, we compared different monitoring strategies and developed a fouling index (FI) to characterise marinas according to the recorded biofouling abundance and type (defined according to the hardness and strength of attachment to the substrate). Lower FI values, i.e. softer and/or less abundant biofouling, were consistently observed in marinas in the north-eastern Baltic Sea. The decrease in FI from the south-western to the north-eastern Baltic Sea was partially explained by the concomitant decrease in salinity. Nevertheless, most of the observed changes in biofouling seemed to be determined by local factors and inter-annual variability, which emphasizes the necessity for systematic monitoring of biofouling by end-users and/or authorities for the effective implementation of non-toxic antifouling alternatives in marinas.
    Keywords: antifouling; Baltic Sea; Barnacle; benthic communities; biocide; Biofouling; coastal management; Event label; Fouling; Latitude of event; leisure boats; Longitude of event; Marina_Askö; Marina_Bullandö; Marina_Fiskebäck; Marina_Gävle; Marina_Grömitz; Marina_Halmstad; Marina_Helsingør; Marina_Helsinki; Marina_Kalmar; Marina_Karlskrona; Marina_Malmö; Marina_Nynäshamn; Marina_Simrishamn; Marina_Strömstad; Marina_Turku; Marina_Vaasa; Marina_Västervik; Monitoring; pollution; Replicates; Station label; Treatment; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 2418 data points
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  • 6
    Publication Date: 2023-12-04
    Description: In the present study, we collected data on biofouling in 17 marinas along the Baltic Sea coast during three consecutive boating seasons (May-October 2014, 2015 and 2016). In this context, we compared different monitoring strategies and developed a fouling index (FI) to characterise marinas according to the recorded biofouling abundance and type (defined according to the hardness and strength of attachment to the substrate). Lower FI values, i.e. softer and/or less abundant biofouling, were consistently observed in marinas in the north-eastern Baltic Sea. The decrease in FI from the south-western to the north-eastern Baltic Sea was partially explained by the concomitant decrease in salinity. Nevertheless, most of the observed changes in biofouling seemed to be determined by local factors and inter-annual variability, which emphasizes the necessity for systematic monitoring of biofouling by end-users and/or authorities for the effective implementation of non-toxic antifouling alternatives in marinas.
    Keywords: antifouling; Area/locality; Baltic Sea; benthic communities; biocide; Biofouling; coastal management; Event label; Fouling; Index; Latitude of event; leisure boats; Longitude of event; Marina_Askö; Marina_Bullandö; Marina_Fiskebäck; Marina_Gävle; Marina_Grömitz; Marina_Halmstad; Marina_Helsingør; Marina_Helsinki; Marina_Kalmar; Marina_Karlskrona; Marina_Malmö; Marina_Nynäshamn; Marina_Simrishamn; Marina_Strömstad; Marina_Turku; Marina_Vaasa; Marina_Västervik; Monitoring; Number; pollution; Replicates; Salinity; Station label; Temperature, water; Treatment; Volume; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 2652 data points
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  • 7
    Publication Date: 2024-03-11
    Keywords: Abundance per volume; Carbon per cell; Cell biovolume; Ciliates, cell biovolume; Ciliates, equivalent spherical diameter; Clearance rate per individual; Equivalent spherical diameter; Event label; EXP; Experiment; Grazing rate per individual; Gross growth efficiency; S_sulcatum_FEEDEXP_2; Taxon/taxa; Treatment: temperature; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 219 data points
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  • 8
    Publication Date: 2024-03-11
    Keywords: Abundance per volume; Carbon per cell; Cell biovolume; Ciliates, cell biovolume; Clearance rate per individual; Equivalent spherical diameter; Event label; EXP; Experiment; FEEDEXP_CILIATES_1986; Grazing rate per individual; Gross growth efficiency; Kosterfjord; Latitude of event; Longitude of event; Taxon/taxa; Treatment: light:dark cycle; Treatment: temperature; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 817 data points
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  • 9
    Electronic Resource
    Electronic Resource
    [S.l.] : American Institute of Physics (AIP)
    Journal of Applied Physics 83 (1998), S. 4206-4212 
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: The Shockley–Read–Hall (SRH) carrier lifetime in electron-irradiated low-doped p-type silicon was measured at different injection levels and various temperatures. The lifetime under high-level injection was determined using the open-circuit carrier decay technique. The reverse recovery technique was used to determine the lifetime under low-level injection. The defect composition was studied using deep-level transient spectroscopy, and according to that the SRH lifetime is calculated. The good agreement between the calculated and the measured lifetimes strongly indicates that the lifetime is controlled by two different deep levels. At low injection levels, the lifetime is mainly controlled by the singly negative charge state of the divacancy center, HC−HT=0.421 eV, and at high injection levels by the vacancy–oxygen complex, HC−HT=0.164 eV. These are the same levels controlling the lifetime in electron-irradiated n-type silicon. © 1998 American Institute of Physics.
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Analytical chemistry 39 (1967), S. 1156-1158 
    ISSN: 1520-6882
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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