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  • 2020-2024  (40)
  • 1940-1944  (3)
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  • 1
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin Heidelberg :
    Keywords: Mathematics. ; Solid Earth Sciences. ; Applications of Mathematics.
    Description / Table of Contents: Basic Settings and Spherical Nomenclature -- Scalar Spherical Harmonics -- Green’s Functions and Integral Formulas -- Vector Spherical Harmonics -- Tensor Spherical Harmonics -- Scalar Zonal Kernel Functions -- Vector Zonal Kernel Functions -- Tensorial Zonal Kernel Functions -- Zonal Function Modeling of Earth’s Mass Distribution.
    Abstract: This book is an enlarged second edition of a monograph published in the Springer AGEM2-Series, 2009. It presents, in a consistent and unified overview, a setup of the theory of spherical functions of mathematical (geo-)sciences. The content shows a twofold transition: First, the natural transition from scalar to vectorial and tensorial theory of spherical harmonics is given in a coordinate-free context, based on variants of the addition theorem, Funk-Hecke formulas, and Helmholtz as well as Hardy-Hodge decompositions. Second, the canonical transition from spherical harmonics via zonal (kernel) functions to the Dirac kernel is given in close orientation to an uncertainty principle classifying the space/frequency (momentum) behavior of the functions for purposes of data analysis and (geo-)application. The whole palette of spherical functions is collected in a well-structured form for modeling and simulating the phenomena and processes occurring in the Earth's system. The result is a work which, while reflecting the present state of knowledge in a time-related manner, claims to be of largely timeless significance in (geo-)mathematical research and teaching.
    Type of Medium: Online Resource
    Pages: XV, 729 p. 74 illus., 71 illus. in color. , online resource.
    Edition: 2nd ed. 2022.
    ISBN: 9783662656921
    Series Statement: Geosystems Mathematics,
    Language: English
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  • 2
    Publication Date: 2023-11-13
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉The decomposition of allochthonous organic matter, such as leaves, is a crucial ecosystem process in low‐order streams. Microbial communities, including fungi and bacteria, colonize allochthonous organic material, break up large molecules, and increase the nutritional value for macroinvertebrates. Environmental variables are known to affect microbial as well as macroinvertebrate communities and alter their ability to decompose organic matter. Studying the relationship between environmental variables and decomposition has mainly been realized using leaves, with the drawbacks of differing substrate composition and consequently between‐study variability. To overcome these drawbacks, artificial substrates have been developed, serving as standardizable surrogates. In the present study, we compared microbial and total decomposition of leaves with the standardized substrates of decotabs and, only for microbial decomposition, of cotton strips, across 70 stream sites in a Germany‐wide study. Furthermore, we identified the most influential environmental variables for the decomposition of each substrate from a range of 26 variables, including pesticide toxicity, concentrations of nutrients, and trace elements, using stability selection. The microbial as well as total decomposition of the standardized substrates (i.e., cotton strips and decotabs) were weak or not associated with that of the natural substrate (i.e., leaves, 〈italic〉r〈/italic〉² 〈 0.01 to 〈italic〉r〈/italic〉² = 0.04). The decomposition of the two standardized substrates, however, showed a moderate association (〈italic〉r〈/italic〉² = 0.21), which is probably driven by their similar composition, with both being made of cellulose. Different environmental variables were identified as the most influential for each of the substrates and the directions of these relationships contrasted between the substrates. Our results imply that these standardized substrates are unsuitable surrogates when investigating the decomposition of allochthonous organic matter in streams. 〈italic〉Environ Toxicol Chem〈/italic〉 2023;42:2007–2018. © 2023 The Authors. 〈italic〉Environmental Toxicology and Chemistry〈/italic〉 published by Wiley Periodicals LLC on behalf of SETAC.〈/p〉
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: Umweltbundesamt http://dx.doi.org/10.13039/501100010809
    Description: https://doi.org/10.1594/PANGAEA.931673
    Keywords: ddc:577.2 ; Leaf decomposition ; Decotabs ; Cotton strips ; Agriculture ; Fungicides ; Insecticides ; Stressors
    Language: English
    Type: doc-type:article
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  • 3
    Publication Date: 2024-01-06
    Description: The published data originate from a laboratory experiment with adult Cassiopea andromeda medusae, which were sourced from an established jellyfish culture bred from polyps (origin: Aquarium Berlin) within the aquaria facilities of the Leibniz Centre for Tropical Marine Research (ZMT), Bremen, Germany. Incubation experiments were conducted in experimental tanks (ETs) in the Marine Experimental Ecology unit (MAREE) of ZMT. The individual ETs function as recirculating aquaculture systems with a water volume of ~120 L, with an upper culture unit and a sump tank equipped with a biofilter system and a protein skimmer below. The temperature and salinity were set at 26°C and 35 SA (Red Sea Salt, Red Sea Fish, Israel), respectively, these conditions were controlled and regulated automatically through submerged sensors. The ETs were each illuminated with an Aquaillumination Hydra FiftyTwo HD (AI Hydra 52 HyperDrive, USA) lamp with seven types of LEDs, emitting the full spectrum (380–680 nm) of photoactive radiation (PAR) with a photon flux density of 100 μmol photons/m²/s. In total, 52 visually healthy (i.e. no injured bells or lost oral arms etc.) Cassiopea andromeda specimens with initial body weights of 111.4 ± 35.7 g and diameters of 10.3 ± 1.3 cm were randomly allocated into 6 ETs. Within these ETs, the animals were individually housed in plastic containers (length 16 cm, width 12 cm, height 12 cm). These containers were fixed just below the water surface, to maintain the same horizontal position and vertical distance under the lamps. This setup allowed for the recognition of individual jellyfish and the precise control of PAR emission on a per-animal basis. Slits on the sides of these plastic containers allowed the exchange of water within the container and the surrounding tank. Over the acclimation and experimental phase, the ETs were cleaned once per week. This included the scratching off of biofilms and the siphoning of feed residues and other particles. During cleaning, approximately one-third of the water volume was exchanged with filtered seawater. In addition, the bacterial film that accumulated at the surface of the water was removed daily with a fine mesh, to prevent the refraction of light through this layer. C. andromeda individuals were target fed daily with 1 mL of dense freshly hatched brine shrimp Artemia nauplii solution using a plastic pipette. One hour after feeding, remaining food residues and any faecal matter were removed from the plastic containers via siphoning with a small plastic pipette. The small plastic boxes were regularly rotated in order to exclude any potential confounding effects associated with different positioning within these tanks. For acclimation purposes, the jellyfish were kept for three weeks in the ETs at a constant PAR intensity of 100 μmol photons/m²/s with 12:12 h light/dark cycle. Light intensities (Li-250A, LI-COR, USA) and spectra (RAMSES ACC-VIS spectroradiometer, TriOS, Germany) were determined at the bottom of the plastic containers. After the acclimation phase, four animals (n = 4) were collected for initial sampling. Subsequently, the PAR intensities in five ETs were changed in steps of no more than 100 μmol photons/m²/s per day, until the desired PAR intensities of 50, 200, 400, and 800 μmol photons/m²/s were reached. For the UVR-treatment, UVB-LEDs (l=285 ± 10 nm) emitting a dose of 1.3 KJ/m²/d were installed above a second ET that reached a final PAR intensity of 200 μmol photons/m²/s. Once the target treatment conditions had been reached, these five different light manipulations remained constant over a four-week period. The sixth ET kept a constant PAR intensity of 100 μmol photons/m²/s throughout the acclimation and experimental phase and served as control treatment. The umbrella pulsation rate, chlorophyll a fluorescence and wet biomass were quantified for each individual C. andromeda medusa initially, after the acclimation phase (day 0) and at the end (day 28) of the different PAR intensity treatments and the exposure to UVB radiation. Umbrella pulsations were counted over 15 s, this number was then extrapolated to determine the number of umbrella pulses per minute and served as proxy for overall organism activity. To exclude the effect of potential handling stress, umbrella pulsations were counted before taking the organisms out of the tanks for further analyses. Chlorophyll a fluorescence was measured using a portable pulse amplitude modulated fluorometer (Diving-PAM, Walz, Effeltrich, Germany). Immediately before the fluorescence measurements, randomly selected C. andromeda specimens (n = 4 per treatment) were collected from the ETs and placed into small glass containers filled with seawater derived from their tanks. In these containers, the animals were kept in darkness for 8 min, to dark-adapt the endosymbiotic dinoflagellates. The subsequent fluorescence measurements included the following steps: 1) a probe with a low-intensity modulated measuring light was placed in close distance to the oral arms and tentacles of each C. andromeda specimen to detect minimal fluorescence (F0) of the dark-adapted endosymbionts. 2) A saturating pulse of light (2700 μmol photons/m²/s) was applied (0.8 s) to obtain the maximum fluorescence (Fm) of the endosymbiotic dinoflagellates. On the basis of F0 and Fm the ratio Fv/Fm was calculated using the formula: Fv = Fm = (Fm − F0) = Fm The ratio Fv/Fm quantifies the maximum quantum efficiency of photosystem II and can serve as a proxy for photosynthetic performance. Right after the fluorescence measurements, the C. andromeda medusa were placed on absorbent tissues for 5 s to remove excess water before determining the wet weight of the jellyfish on a digital scale (Sartorius, Germany). The relative growth rate (RGR) was calculated based on wet biomass weight using the formula: RGR = ln (W2/W1)/DT Where ln is the natural log, W1 is the starting wet weight of one individual jellyfish, W2 is the total jellyfish wet weight after four weeks experimental time and DT is the length of the experiment. For the analyses of pigments and antioxidant activity (AOA), four C. andromeda were sampled after the acclimation phase, after two weeks, and after four weeks (at the end of the experimental period). At each of these time points, whole animals were snap-frozen in liquid N2 and stored at -80°C. Prior to lab-based analyses, the sampled organisms were lyophilized for 72 h at 1 mbar (ALPHA 1-4 LD plus; Christ GmbH, Osterode, Germany). After lyophilization the dry weight of individual organisms were documented before the whole jellyfish were ground to powder for 20 s, using a benchtop homogenizer (FastPrep-24, MP Biomedicals, Germany). For the counting of endosymbiotic algae cells, from each sample, a quantity of ~20 mg lyophilized powder was resuspended in 500 μl of distilled water. For homogenization, the suspension was shaken for 16 h at 60 rpm (Intelli-Mixer RM-2L; ELMI SIA, Riga, Latvia). To prevent cellular clumping, resuspended sample solutions were ultrasonicated twice for 30 s (HD 2070.2; Brandelin electronic GmbH & Co KG, Berlin, Germany) using a Sonotrode (MS 72; 20 KHz, 70 Watt, 285 μm = 100%) with a low amplitude of 20% prior to cell counting. The sample solutions were then pipetted into a Neubauer Hemocytometer (0.1 mm depth), to count the microalgae cells in triplicate under an optical microscope (20x). The total amount of microalgae cells per individual jellyfish, was calculated based on the cell concentration per dry weight of the resuspended jellyfish sub-sample. For pigment analyses, 140 mg of lyophilized sample material was weighed into Eppendorf tubes, after which the pigments therein were extracted in 1 mL of cold 90% acetone for 24 h at 4°C in the dark. After centrifugation (2500g, 4°C, 5 min) and filtration (0.45 μm nylon syringe filters, Nalgene, USA), pigment analyses were performed using reversed-phase high-performance liquid chromatography (HPLC). Pigments (chlorophyll a, peridinin) were separated on a LaChromElite system equipped with a chilled autosampler L-2200 and a DAD detector L-2450 (VWR-Hitachi, Germany) with a LiChropher 100-RP-18 guard cartridge, applying a gradient according to Wright et al. (1991). Peaks were detected at 440 nm, identified, and quantified via co-chromatography with appropriate standards (obtained from DHI Lab Products, Denmark). Pigment concentrations were expressed as μg/g C. andromeda dry weight and as pg/cell of endosymbiotic microalgae. To measure AOA, 200 mg of lyophilized sample was dissolved in 1 mL ethanol (70%) and extracted in a water bath (47°C) for 4 h, vortexing hourly. Prior to this analysis, samples were centrifuged (2500 g, 20°C) for 5 min. The AOA was determined using a modified version of the ABTS+ assay described by Re et al. (1999), also known as the Trolox Equivalent Antioxidant Capacity (TEAC) assay, with Trolox (6-hydroxy-2,5,7,8-tetramethylchroman-2-carboxylic acid) serving as a standard. A 2.45 mM ABTS+ stock solution was obtained by oxidizing 7.0 mM of ABTS+ with potassium disulfate (K2S2O8) for 16 h. A working solution with a consistent photometrically measured absorption of 0.7 ± 0.02 at a wavelength of 734 nm (UV/VIS-spectrophotometer, Thermo Scientific Genesys 140/150, Fisher Scientific GmbH, Schwerte, Germany) was obtained via dilution with absolute ethanol. For the AOA analysis, 1 mL of this ABTS+ working solution was added to 10 mL of sample extract, and deradicalization was measured after 6 min. AOA of the samples was expressed as Trolox Equivalents (mmol TE 100 g-1 DW) after adjusting for the appropriate dilution factor. All chemicals were purchased from Sigma (Aldrich/Merck KGaA, Darmstadt, Germany).
    Keywords: Antioxidant capacity, in Trolox Equivalents, per dry mass; Calculated; Chlorophyll a per cell; Chlorophyll a per unit dry mass; Day of experiment; Endosymbiotic dinoflagellates; Growth, relative; Health-promoting ingredients; Laboratory experiment; Life stage; Light-harvesting pigments; Method comment; New marine food; Peridinin; Peridinin, per dry mass; Peridinin per cell; Photosynthetic competence; Pulse amplitude modulation (PAM) fluorometry; Pulse rate; Reverse phase HPLC (High Performance Liquid Chromatography); Salinity; Sampling date/time, experiment; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Symbiodiniaceae; Temperature, water; Treatment: light intensity; Type of study; Ultraviolet radiation (UVR) LEDs; Up-side down jellyfish; UV/VIS Spectrometer; Visual counts
    Type: Dataset
    Format: text/tab-separated-values, 754 data points
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  • 4
    Publication Date: 2024-04-20
    Description: Plant protection products in the environment are partly responsible for the progressive loss of biodiversity. The mostly insufficient ecological status of surface waters is often explained by habitat degradation and excessive nutrient input. But what role do plant protection products play in this context? The Kleingewässermonitoring (KgM) project provides a worldwide unique quantitative assessment of the impact of pesticides from diffuse agricultural sources on small and medium-sized streams. The dataset comprises 124 monitoring stream sections all over Germany covering a wide pollution gradient where consistent measurements were carried out in 2018 and 2019 during the major pesticide application period from April to July. These measurements include event-driven sampling to record surface rainfall-induced short-term peak concentrations in addition to regular grab sampling of pesticides and a wide range of other pollutants resulting in more than 1,000 water samples. All further relevant anthropogenic and environmental parameters reigning ecological stream quality were recorded comprehensively (morphological and stream bed structure, temperature, flow velocity, dissolved oxygen, pH, catchment land use, stream profile). The dataset also contains effect monitoring data featuring sampled invertebrate communities and bioassay analyses of water samples. The data enables an assessment of pesticide exposure and related effects as well as the analysis of complex causal relationships in streams.
    Keywords: Germany; KgM; KgM_2018; KgM_2019; Kleingewässermonitoring; MULT; Multiple investigations
    Type: Dataset
    Format: application/zip, 52.3 MBytes
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Journal of comparative physiology 29 (1942), S. 146-171 
    ISSN: 1432-1351
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Notes: Zusammenfassung Die Schnappreaktion der Ellritze wird als Instinkthandlung aufgefaßt. Die Intensität der Reaktion ist abhängig von der reaktionsspezifischen Erregung und von der Valenz der auslösenden Reizsituation. Vom Objekt der Schnappreaktion hat die Ellritze kein angeborenes Schema. Ich kann daher durch eine Dressur die auslösende Wirkung von einem bekannten Reiz auf ein von mir gewähltes Signal übertragen. Der allgemeine Erregungszustand ist von der Vielfalt aller inneren und äußeren Umstände abhängig. Von großer Bedeutung dafür sind optische Eindrücke. Wetterfaktoren (Frontendurchgang, Föhn, Gewitter) spielen dabei keine Rolle. Sie haben bei der Dressur weder auf die Reaktionssicherheit noch auf die Reaktionsweise Einfluß.
    Type of Medium: Electronic Resource
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  • 6
    Publication Date: 1940-01-01
    Print ISSN: 0006-3444
    Electronic ISSN: 1464-3510
    Topics: Biology , Mathematics , Medicine
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  • 7
    Publication Date: 1940-03-01
    Print ISSN: 0006-3444
    Electronic ISSN: 1464-3510
    Topics: Biology , Mathematics , Medicine
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  • 8
    Publication Date: 2023-01-13
    Description: Abstract
    Description: Orbital products describe positions and velocities of satellites, be it the Global Navigation Satellite System (GNSS) satellites or Low Earth Orbiter (LEO) satellites. These orbital products can be divided into the fastest available ones, the Near Realtime Orbits (NRT, Zitat), which are mostly available within 15 to 60 minutes delay, followed by Rapid Science Orbit (RSO, Zitat) products with a latency of two days and finally the Precise Science Orbit (PSO) which, with a latency of up to a few weeks or longer in the case of reprocessing campaigns, are the most delayed. The absolute positional accuracy increases from NRT to PSO. This dataset compiles the PSO products for various LEO missions and GNSS constellation in sp3 format. GNSS Constellation: - GPS LEO Satellites: -ENVISAT -Jason-1 -Jason-2 -Jason-3 -Sentinel-3A -Sentinel-3B -Sentinel-6A -TOPEX Each solution follows specific requirements and parametrizations which are named in the respective processing metric table.
    Description: TechnicalInfo
    Description: Within the scope of various international working groups and services, and mission involvements, such as Copernicus POD QWG, IDS, ILRS, TanDEM-X, GRACE(-FO), different PSO orbits are generated at GFZ. These orbits ensue to the best of one’s ability the specific requirements and are based either on one individual observation technique or on a combination of several. Adopted processing settings and, in the case of dynamic POD, parameterizations and modeling are listed in a respective processing metric table. The orbits are stored in the GFZ Information System and Data Center (ISDC) and to the extent deemed possible freely available for the scientific community world-wide
    Keywords: Level-3 ; Satellite Geodesy ; Low Earth Orbiter ; Orbit ; TOR ; TSX ; GRACE-FO ; GPS ; RSO ; SAR ; IGOR ; Tracking ; Occultation ; Satellite Laser Ranging ; SLR ; Earth Observation Satellites 〉 ENVISAT ; Earth Observation Satellites 〉 JASON-1 ; Earth Observation Satellites 〉 OSTM/JASON-2 ; Earth Observation Satellites 〉 SATELLITES ; Earth Observation Satellites 〉 Sentinel GMES 〉 SENTINEL-3 ; Earth Observation Satellites 〉 TOPEX/POSEIDON ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 DORIS GROUND STATION BEACON ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GNSS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GNSS RECEIVER ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GPS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GPS CLOCKS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GPS RECEIVERS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GPSP ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GYROS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Laser Ranging ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Laser Ranging 〉 LASER TRACKING REFLECTOR ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Laser Ranging 〉 LRA ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Laser Ranging 〉 SLR ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Radio 〉 DORIS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Radio 〉 INS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Radio 〉 USO ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS ; Navigation Platforms 〉 Galileo (Europe's European Satellite Navigation System) ; Navigation Platforms 〉 GPS (Global Positioning System) ; Navigation Platforms 〉 NAVSTAR
    Type: Collection , Collection
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  • 9
    Publication Date: 2021-10-01
    Print ISSN: 0272-7714
    Electronic ISSN: 1096-0015
    Topics: Biology , Geography , Geosciences
    Published by Elsevier
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  • 10
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    Waxmann Verlag
    Publication Date: 2024-04-08
    Description: Die evangelische Schulseelsorge hat sich zu einem wichtigen Feld der Kooperation von Schule und Kirche entwickelt. Ursprünglich überwiegend getragen von Pfarrerinnen und Pfarrern im Schuldienst übernehmen inzwischen mehrheitlich Religionslehrerinnen und -lehrer diese Aufgabe. Im Rahmen der Evangelischen Bildungsberichterstattung wird erstmals eine empirische Bestandsaufnahme dieses Handlungsfeldes vorgenommen. Der Bildungsbericht zur evangelischen Schulseelsorge stützt sich zum einen auf eine Online-Befragung von Schulseelsorgerinnen und -seelsorgern, die erstmals EKD-weite Einsichten in die Strukturen und Inhalte dieses Arbeitsfelds ermöglicht. Themen sind u.a. Anstellung, Beauftragung und Qualifizierung der Mitarbeitenden sowie ihr Selbstverständnis und ihre Tätigkeitsschwerpunkte. Zum anderen werden auf Grundlage von Angaben der ausbildenden Institute die Rahmenbedingungen der Fortbildungsangebote vorgestellt. Auf dieser Basis werden sowohl die Potenziale der Evangelischen Schulseelsorge als auch die Herausforderungen, vor denen sie gegenwärtig steht, verdeutlicht.
    Keywords: BJ1-1725 ; LC8-6691 ; Schulkultur ; Jugendseelorge ; Religion im Schulleben ; Jugendarbeit ; Kirche und Schule ; Jugendtheologie ; Lebenshilfe ; Schulpastoral ; Schulsozialarbeit ; Bildungsbericht ; EKD ; Seelsorgeauftrag ; bic Book Industry Communication::H Humanities::HP Philosophy::HPS Social & political philosophy ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTS Social and political philosophy
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