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  • 2020-2024  (13)
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  • 1
    Online Resource
    Online Resource
    Next-Generation Plant-based Foods : Design, Production, and Properties (2022)
    Cham :Springer International Publishing :
    Details
    Keywords: Food science. ; Food Analysis. ; Chemistry. ; Food Science. ; Food Engineering. ; Food Chemistry.
    Description / Table of Contents: Introduction -- Plant-based ingredients -- Processes and Equipment to Create Plant-based Foods -- Physicochemical and Sensory Properties of Plant-based Foods -- Nutrition and Health Aspects -- Meat and Fish Alternatives -- Eggs and Egg Products -- Plant-based Milk and Cream Analogs- : Dairy Alternatives - Cheese, Yogurt, Butter, and Ice Cream -- Conclusion.
    Abstract: The creation of plant-based foods is one of the most rapidly advancing areas in the modern food industry. Many consumers are adopting more plant-based foods in their diets because of concerns about global warming and its devastating impacts on the environment and biodiversity. In addition, consumers are adopting plant-based diets for ethical and health reasons. As a result, many food companies are developing plant-based analogs of animal-based foods like dairy, egg, meat, and seafood products. This is extremely challenging because of the complex structure and composition of these animal-based foods. Next-Generation Plant-based Foods: Design, Production and Properties presents the science and technology behind the design, production, and utilization of plant-based foods. Readers will find a review of ingredients, processing operations, nutrition, quality attributes, and specific plant-based food categories such as milk and dairy products, egg and egg products, meat and seafood products, providing the fundamental knowledge required to create the next generation of healthier and more sustainable plant-based food alternatives.
    Type of Medium: Online Resource
    Pages: XVII, 573 p. 170 illus., 154 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030967642
    URL: https://doi.org/10.1007/978-3-030-96764-2
    DOI: 10.1007/978-3-030-96764-2
    DDC: 641.3
    Language: English
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    E-BOOKS (AWI ONLY)
  • 2
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    Phaeocystis pouchetii's responses to temperature (2 vs. 6 °C), light (55 vs. 160 µmol photons m-2 s-1) and pCO2 (400 vs. 1000 µatm) (2022)
    PANGAEA
    Details
    Publication Date: 2024-01-26
    Description: We assessed the responses of solitary cells of Arctic Phaeocystis pouchetii (Strain PS78) grown under a matrix of temperature (2°C vs. 6°C), light intensity (55 vs. 160 μmol photons m-2 s-1) and CO2 partial pressures (pCO2; 400 vs. 1000 μatm). Before the experiments, the strain (isolated during Polarstern cruise PS78 in 2011) was kept as stock culture at 1° in 0.2 µm sterile-filtered Arctic seawater (Salinity 33), enriched with vitamins and trace metals according to F/2 medium (Guillard & Ryther, 1962). Nitrate and phosphate were added in concentrations of 100 and 6 µmol L-1, respectively. Experiments were conducted between May 2016 and September 2017 at the Alfred-Wegener-Institute, using standardized media and continuous light exposition. Next to acclimation parameters (growth rates, particulate and dissolved organic carbon and nitrogen, chlorophyll a content), we measured physiological processes in-vivo (electron transport rates and net photosynthesis) using fast-repetition rate fluorometry and membrane-inlet mass spectrometry.
    Keywords: Alkalinity, total; Bottle incubation; calculated from carbonate chemistry using the CO2Sys Excel sheet (Pierrot, Lewis & Wallace, 2006); calculated from chlorophyll a (chl a) and particulate organic carbon (POC) quota; calculated from growth rate and particulate organic carbon (POC) quota; calculated from growth rate and particulate organic nitrogen (PON) quota; calculated from particulate organic carbon (POC) and particulate organic nitrogen (PON) quota; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; Colorimetric detection, TRAACs continuous flow autoanalyzer, according to the method of Stoll et al. (2001); Coulter counter, Beckman Coulter, Multisizer 3; DATE/TIME; Electron transport rate, relative; Elemental analyzer, EuroVector, EuroEA; EXP; Experiment; Experimental treatment; Fitted parameter using the photosynthesis vs. Irradiance equation from Rokitta & Rost (2012), raw data obtained using a membrane-inlet mass spectrometer (MIMS) as described in Kottmeier, Rokitta & Rost (2016); Fitted parameter using the photosynthesis vs. Irradiance equation from Rokitta & Rost (2012); raw data obtained using a fast-repetition rate fluoremeter (FRRF), FastOcean PTX with FastAct Laboratory system, Chelsea Technologies after Oxborough et al. (201; Fluorometer, Turner Designs, TD-700, using acidification method (Knap et al., 1996); Fram Strait; Identification; Initial slope of the photosynthesis-irradiance curve; Initial slope of the photosynthesis-irradiance curve, relative electron transfer rate per unit light; Light; Light acclimation index; Maximum photosynthesis rate, oxygen, per chlorophyll a; model simulation; pCO2; pCO2 mixed from CO2-free air and pure CO2 with a custom built gas mixing system; pH; pH 826 mobile handheld device, with Aquatrode Plus, Metrohm; Phaeocystis_pouchetii_PS78; Phaeocystis pouchetii; Phaeocystis pouchetii, carbon, organic, particulate/nitrogen, organic, particulate ratio; Phaeocystis pouchetii, chlorophyll a/carbon, organic, particulate ratio; Phaeocystis pouchetii, chlorophyll a quota per cell; Phaeocystis pouchetii, growth rate; Phaeocystis pouchetii, particulate organic carbon production per cell; Phaeocystis pouchetii, particulate organic carbon quota per cell; Phaeocystis pouchetii, particulate organic nitrogen production per cell; Phaeocystis pouchetii, particulate organic nitrogen quota per cell; Phytoplankton; RCP8.5; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Strain; Temperature; Temperature, water; Thermometer, internal, Aquatrode Plus, Metrohm; Treatment: light intensity; Treatment: partial pressure of carbon dioxide; Treatment: temperature; Type of study; Universal light meter & data logger, WALZ, ULM-500, with 4Pi sensor, LI-COR
    Type: Dataset
    Format: text/tab-separated-values, 908 data points
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    DATA PANGAEA
  • 3
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    Seawater carbonate chemistry and Phaeocystis pouchetii's responses to temperature (2 vs. 6 °C), light (55 vs. 160 µmol photons m-2 s-1) and pCO2 (400 vs. 1000 µatm) (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-15
    Description: We assessed the responses of solitary cells of Arctic Phaeocystis pouchetii (Strain PS78) grown under a matrix of temperature (2°C vs. 6°C), light intensity (55 vs. 160 μmol photons m-2 s-1) and CO2 partial pressures (pCO2; 400 vs. 1000 μatm). Before the experiments, the strain (isolated during Polarstern cruise PS78 in 2011) was kept as stock culture at 1° in 0.2 µm sterile-filtered Arctic seawater (Salinity 33), enriched with vitamins and trace metals according to F/2 medium (Guillard & Ryther, 1962). Nitrate and phosphate were added in concentrations of 100 and 6 µmol L-1, respectively. Experiments were conducted between May 2016 and September 2017 at the Alfred-Wegener-Institute, using standardized media and continuous light exposition. Next to acclimation parameters (growth rates, particulate and dissolved organic carbon and nitrogen, chlorophyll a content), we measured physiological processes in-vivo (electron transport rates and net photosynthesis) using fast-repetition rate fluorometry and membrane-inlet mass spectrometry. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2022) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-01-20.
    Keywords: Alkalinity, total; Aragonite saturation state; Arctic; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottle incubation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; calculated from carbonate chemistry using the CO2Sys Excel sheet (Pierrot, Lewis & Wallace, 2006); calculated from chlorophyll a (chl a) and particulate organic carbon (POC) quota; calculated from growth rate and particulate organic carbon (POC) quota; calculated from growth rate and particulate organic nitrogen (PON) quota; calculated from particulate organic carbon (POC) and particulate organic nitrogen (PON) quota; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, organic, particulate, per cell; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a/particulate organic carbon ratio; Chlorophyll a per cell; Chromista; Colorimetric detection, TRAACs continuous flow autoanalyzer, according to the method of Stoll et al. (2001); Coulter counter, Beckman Coulter, Multisizer 3; Date/time end; Date/time start; Electron transport rate, relative; Elemental analyzer, EuroVector, EuroEA; EXP; Experiment; Experimental treatment; Fitted parameter using the photosynthesis vs. Irradiance equation from Rokitta & Rost (2012), raw data obtained using a membrane-inlet mass spectrometer (MIMS) as described in Kottmeier, Rokitta & Rost (2016); Fitted parameter using the photosynthesis vs. Irradiance equation from Rokitta & Rost (2012); raw data obtained using a fast-repetition rate fluoremeter (FRRF), FastOcean PTX with FastAct Laboratory system, Chelsea Technologies after Oxborough et al. (201; Fluorometer, Turner Designs, TD-700, using acidification method (Knap et al., 1996); Fram Strait; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth rate; Haptophyta; Initial slope of the photosynthesis-irradiance curve, relative electron transfer rate per unit light; Laboratory experiment; Light; Light acclimation index; Maximum photosynthesis rate, oxygen, per chlorophyll a; Nitrogen, organic, particulate, per cell; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic carbon production per cell; pCO2 mixed from CO2-free air and pure CO2 with a custom built gas mixing system; Pelagos; pH; pH 826 mobile handheld device, with Aquatrode Plus, Metrohm; Phaeocystis_pouchetii_PS78; Phaeocystis pouchetii; Phytoplankton; Polar; Primary production/Photosynthesis; Production of particulate organic nitrogen; Replicate; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Strain; Temperature; Temperature, water; Thermometer, internal, Aquatrode Plus, Metrohm; Treatment: light intensity; Treatment: partial pressure of carbon dioxide; Treatment: temperature; Type of study; Universal light meter & data logger, WALZ, ULM-500, with 4Pi sensor, LI-COR
    Type: Dataset
    Format: text/tab-separated-values, 1580 data points
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    DATA PANGAEA
  • 4
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    Ontological Reduction (2022)
    Indiana University Press
    Details
    Publication Date: 2024-04-05
    Description: Ontological Reduction offers a philosophical analysis, described in its author's 1970 preface to the text as follows: "A discussion of ontological reduction, with special reference to the status of selected categories and culminating in the outline of a list of categories."
    Keywords: Philosophy ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy
    Language: English
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    E-BOOK
  • 5
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    Les apprentissages lexicaux (2021)
    Presses universitaires du Septentrion
    Details
    Publication Date: 2022-01-31
    Description: À l'école primaire et au début de la scolarité au collège, les activités lexicales apparaissent souvent comme déconnectées des activités de production de discours. Or, lorsqu'il parle et lorsqu'il écrit, le locuteur/scripteur doit mobiliser sa compétence lexicale, ce qui le conduit non seulement à sélectionner les unités lexicales pertinentes mais aussi à les associer à d'autres en fonction de règles sémantiques et syntaxiques, au cours d'activités langagières complexes. Ces opérations de ch...
    Keywords: éducation ; apprentissage ; lexicographie
    Language: French
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    E-BOOK
  • 6
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    Open-Access-Publikationsworkflow für akademische Bücher (2021)
    HTWK Leipzig - OA-Hochschulverlag
    Details
    Publication Date: 2024-04-11
    Description: "The need for an immediate, transparent and sustainable dissemination of current research has become a prerequisite for the further development of science today. Making research results freely available online as Open Access is considered to achieve the widest possible dissemination worldwide. Everyone can access anywhere Open Access publications without any restrictions or paywalls. Meanwhile more and more academic institutions and universities have already started their own presses to publish books Open Access. In the present manual a sustainable and ideal workflow for producing and publishing academic books is presented. That workflow enables universities to publish their publications both as Open Access and printed books in a state-of-theart way and without any restrictions regarding the license, the variety of formats, print run etc. As proof of concepts we have processed different use cases which demonstrates the current status of the technically and economically possibilities in the publishing sector. Furthermore, data on time, costs and personnel resources were determined, which can be used by other universities and academic institutions to indicate the necessary investments for founding and operation of their own Open Access university presses."
    Description: "Die zeitnahe, transparente und nachhaltige Verbreitung nachprüfbarer wissenschaftlicher Ergebnisse ist eine der wesentlichen Anforderungen an die wissenschaftliche Kommunikation und Infrastruktur. Open Access, also die offene und kostenfreie Nutzung von wissenschaftlicher Literatur, ist hierfür die Grundvoraussetzung. Hochschulen und Universitäten sind in der Regel die Institutionen, an denen Wissenschaftler neue Forschungsergebnisse erzeugen und zur Veröffentlichung als Buch vorbereiten. Neben klassischen Wissenschaftsverlagen veröffentlichen daher immer mehr Hochschulverlage wissenschaftliche Publikationen. Das vorliegende Handbuch beschreibt einen nachhaltigen, allgemeingültigen State-of-the-Art-Workflow zur Herstellung und Distribution von akademischen Büchern, der es Hochschulen und Universitäten ermöglicht, bei weitest möglicher Verbreitung, Sichtbarkeit und Zugänglichkeit eigene Forschungsarbeiten und Graduierungsschriften in digitaler Form im Open Access und als gedrucktes Buch zu veröffentlichen. Dieses Workflow-Modell wird anhand ausgewählter Fallbeispiele als Proof of Concept demonstriert und spiegelt den aktuellen Stand der derzeit im Verlagsbereich technischen und wirtschaftlichen Möglichkeiten wider. Anhand der Fallbeispiele wurden zudem der Zeit-, Kosten- und Personalaufwand erfasst, sodass anderen Hochschulen und Universitäten Anhaltspunkte für nötige Investitionen bei der Gründung und dem Betrieb eigener OA-Hochschulverlage gegeben werden."
    Keywords: Open access ; Monograph ; HTWK Leipzig ; OA HVerlag ; Book ; workflow ; publishing ; University Press ; Production ; XML-first ; Costs ; Time ; Personnel expenses ; processes ; Process management ; Optimization ; Model ; standard ; research project ; BMBF ; academic institution ; Open Access ; Monografie ; HTWK Leipzig ; OA-HVerlag ; Buch ; Workflow ; Publizieren ; Universitätsverlag ; Hochschulverlag ; Herstellung ; Produktion ; Verlagswesen ; XML-first ; Buchsatz ; Kosten ; Zeit ; Personalaufwand ; Prozesse ; Prozessmanagement ; Optimierung ; Modell ; Standard ; Forschungsprojekt ; BMBF ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering
    Language: German
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    E-BOOK
  • 7
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    Future warming stimulates growth and photosynthesis in an Arctic microalga more strongly than changes in light intensity or pCO2 (2023)
    Wiley
    In:  EPIC3Limnology and Oceanography, Wiley, 68(12), pp. 2789-2799, ISSN: 0024-3590
    Details
    Publication Date: 2024-03-22
    Description: We assessed the responses of solitary cells of Arctic Phaeocystis pouchetii grown under a matrix of temperature (2°C vs. 6°C), light intensity (55 vs. 160 μmol photons m−2 s−1) and pCO2 (400 vs. 1000 μatm CO2, i.e., 40.5 vs. 101.3 Pa). Next to acclimation parameters (growth rates, particulate and dissolved organic C and N, Chlorophyll a content), we measured physiological processes in vivo (electron transport rates and net photosynthesis) using fast-repetition rate fluorometry and membrane-inlet mass spectrometry. Within the applied driver ranges, elevated temperature had the most pronounced impacts, significantly increasing growth, elemental quotas and photosynthetic performance. Light stimulations manifested more prominently under 6°C, underlining temperature's role as a “master-variable”. pCO2 was the least effective driver, exerting mostly insignificant effects. The obtained data were used for a simplistic upscaling simulation to investigate potential changes in P. pouchetii's bloom dynamics in the Fram Strait with increasing temperatures over the 21st century. Although solitary cells might not be fully representative of colonial cells commonly observed in the field, our results suggest that global warming accelerates bloom dynamics, with earlier onsets of blooms and higher peak biomasses. Such a temperature-induced acceleration in the phenology of Phaeocystis and likely other Arctic phytoplankton might cause temporal mismatches, e.g., with the development of grazers, and therefore substantially affect the biogeochemistry and ecology of the Arctic.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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    PAPER (OA)
  • 8
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    Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation (2022)
    Cornell University
    Details
    Publication Date: 2023-01-17
    Description: High-quality data is necessary for modern machine learning. However, the acquisition of such data is difficult due to noisy and ambiguous annotations of humans. The aggregation of such annotations to determine the label of an image leads to a lower data quality. We propose a data-centric image classification benchmark with ten real-world datasets and multiple annotations per image to allow researchers to investigate and quantify the impact of such data quality issues. With the benchmark we can study the impact of annotation costs and (semi-)supervised methods on the data quality for image classification by applying a novel methodology to a range of different algorithms and diverse datasets. Our benchmark uses a two-phase approach via a data label improvement method in the first phase and a fixed evaluation model in the second phase. Thereby, we give a measure for the relation between the input labeling effort and the performance of (semi-)supervised algorithms to enable a deeper insight into how labels should be created for effective model training. Across thousands of experiments, we show that one annotation is not enough and that the inclusion of multiple annotations allows for a better approximation of the real underlying class distribution. We identify that hard labels can not capture the ambiguity of the data and this might lead to the common issue of overconfident models. Based on the presented datasets, benchmarked methods, and analysis, we create multiple research opportunities for the future directed at the improvement of label noise estimation approaches, data annotation schemes, realistic (semi-)supervised learning, or more reliable image collection.
    Type: Article , NonPeerReviewed
    Format: text
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    PAPER (OCEANREP)
  • 9
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    Gemini connector: Interfacing differentiable physical models and neural networks (2022)
    Springer
    Details
    Publication Date: 2023-01-24
    Description: Spectacular advances have been made in the field of machine vision over the past decade. While this discipline is traditionally driven by geometric models, neural networks have proven to be superior in some applications and have significantly expanded the limits of what is possible. At the same time, conventional graphic models describe the relationship between images and the associated scene with textures and light in a physically realistic manner and are an important part of photogrammetry. Differential renderers combine these approaches by enabling gradient-based optimization in fixed structures of a graphics pipeline and thus adapt the learning process of neural networks. This fusion of formalized knowledge and machine learning motivates the idea of a modular differentiable renderer in which physical and statistical models can be recombined depending on the use case. We therefore present Gemini Connector: an initiative for the modular development and combination of differentiable physical models and neural networks. We examine opportunities and problems and motivate the idea with the extension of a differentiable rendering pipeline to include models of underwater optics for the analysis of deep sea images. Finally, we discuss use cases, especially within the Cross-Domain Fusion initiative.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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    PAPER (OCEANREP)
  • 10
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    Digital twinning in the ocean - chanllenges in multimodal sensing and multiscale fusion based on faithful visual models (2022)
    Copernicus Publications (EGU)
    Details
    Publication Date: 2024-02-07
    Description: In engineering, machines are typically built after a careful conception and design process: All components of a system, their roles and the interaction between them is well understood, and often even digital models of the system exist before the actual hardware is built. This enables simulations and even feedback loops between the real-world system and a digital model, leading to a digital twin that allows better testing, prediction and understanding of complex effects. On the contrary, in Earth sciences, and particularly in ocean sciences, models exist only for certain aspects of the real world, of certain processes and of some interactions and dependencies between different “components” of the ocean. These individual models cover large temporal (seconds to millions of years) and spatial (millimetres to thousands of kilometres) scales, a variety of field data underpin them, and their results are represented in many different ways. A key to enabling digital twins in the oceans is fusion at different levels, in particular, fusion of data sources and modalities, fusion over different scales and fusion of differing representations. We outline these challenges and exemplify different envisioned digital twins employed in the oceans involving remote sensing, underwater photogrammetry and computer vision, focusing on optical aspects of the digital twinning process. In particular, we look at the holistic sensing scenarios of optical properties in coastal waters as well as seafloor dynamics at volcanic slopes and discuss road blockers for digital twins as well as potential solutions to increase and widen the use of digital twins.
    Type: Article , PeerReviewed
    Format: text
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    PAPER (OCEANREP)
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