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  • 2020-2024  (48)
  • 2005-2009
  • 2023  (48)
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  • 2020-2024  (48)
  • 2005-2009
Year
  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Evolution (Biology). ; Zoology. ; Anatomy, Comparative. ; Physiology. ; Ecophysiology. ; Materials. ; Bionics. ; Evolutionary Biology. ; Zoology. ; Animal Anatomy. ; Animal Physiology. ; Ecophysiology. ; Bioinspired Materials.
    Description / Table of Contents: The Concept of Convergent Evolution and Its Relationship to the Understanding of Form and Function -- Odonatopteran Approaches to the Challenges of Flight: Convergence of Responses Subject to a Common Set of Morphological Constraints -- Digging Up Convergence in Fossorial Rodents: Insights into Burrowing Activity and Morpho-Functional Specializations of the Masticatory Apparatus -- Testing for Convergent Evolution in Baleen Whale Cochleae -- The Sacro-Iliac Joint of the Felidae and Canidae and Their Large Ungulate Prey: An Example of Divergence and Convergence -- Aquatic Feeding in Lissamphibia -- Convergence of Aquatic Feeding Modes in the Sauropsida (Crocodiles, Birds, Lizards, Snakes And, Turtles) -- Convergent Evolution of Secondarily Aquatic Feeding in Mammals -- Solutions to a Sticky Problem: Convergence of the Adhesive Systems of Geckos and Anoles (Reptilia: Squamata) -- Convergent Evolution of Animal Adhesive Pads -- Convergence of Arboreal Locomotor Specialization: Morphological and Behavioral Solutions for Movement on Narrow and Compliant Supports -- Convergent Evolution of Manual and Pedal Grasping Capabilities in Tetrapods -- Convergence in Gliding Animals: Morphology, Behavior, and Mechanics -- Convergence of Bipedal Locomotion: Why Walk or Run on Only Two Legs -- Aquatic Locomotion: Environmental Constraints That Drive Convergent Evolution -- Convergent Evolution of Attachment Mechanisms in Aquatic Animals -- Convergent Evolution: Theory and Practice for Bioinspiration -- Conclusion and Perspectives: What Convergent Evolution of Animal Forms and Functions Says About the Predictability of Evolution.
    Abstract: This volume presents a series of case studies, at different levels of inclusivity, of how organisms exhibit functional convergence as a key evolutionary mechanism resulting in responses to similar environmental constraints in mechanically similar ways. The contributors to this volume have selected and documented cases of convergent evolution of form and function that are perceived to be driven by environmental abiotic and/or biotic challenges that fall within their areas of expertise. Collectively these chapters explore this phenomenon across a broad phylogenetic spectrum. The sequence of chapters follows the organizational principle of increasing phylogenetic inclusivity, rather than the clustering of chapters by perceived similarity of the phenotypic features or biomechanical challenges being considered. This is done to maintain focus on the evolutionary phenomenon that is the primary subject matter of the book, thereby providing a basis for discussion among the readership about what is necessary and sufficient to justify the recognition of functional convergence. All chapters stress the need for integrative approaches for the elucidation of both pattern and process as they relate to convergence at various taxonomic levels.
    Type of Medium: Online Resource
    Pages: X, 594 p. 156 illus., 116 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031114410
    Series Statement: Fascinating Life Sciences,
    DDC: 576.8
    Language: English
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  • 2
    Keywords: Management. ; Economic geography. ; Personnel management. ; Law and economics. ; Business ethics. ; Management. ; Economic Geography. ; Human Resource Management. ; Law and Economics. ; Business Ethics.
    Description / Table of Contents: Chapter 1 -- Introduction. Chapter 2 -- Thinking with care: Exploring interdisciplinarity in a global research project. Chapter 3 -- A trust perspective on interdisciplinary work. Chapter 4 -- Companies and Unconscious Bias: A case study on the need for interdisciplinary scholarship. Chapter 5 -- Making the Case for Case Studies in Empirical Legal Research. Chapter 6 -- An Unsustainable Connection: ‘Law and Economics’ and Corporate Law. Chapter 7 -- Interdisciplinary Research in Law: A Case Study. Chapter 8 -- A social network analysis methodology to unveil the interconnectivity between EU business and financial market law and its role for sustainable development. Chapter 9 -- The Global and Trans-systemic Rise of Social Enterprise and Hybrid Business Law. Chapter 10 -- A Grounded Company: Ethics, Identity, and the Privately Owned Corporation. Chapter 11 -- Methodologies for integrating different disciplines in the sustainability assessment. Chapter 12 -- Artificial intelligence as intermediary: consequences for analysis of regulation of business. Chapter 13 -- Investing in the Planetary Boundaries? Analyzing Sustainable Investments of Sovereign Wealth Funds. Chapter 14 -- Transferring interdisciplinary sustainability research to practice: Barriers and solutions to the practitioner-academic gap. Chapter 15 -- Conclusion.
    Abstract: This volume brings together contributions from women business scholars from a range of disciplines and countries. The starting point was a collaborative research meeting organised by Daughters of Themis: International Network of Female Business Scholars in June 2017. The volume highlights the difficulties and the possibilities that lie in working together across disciplines with the aim of achieving corporate sustainability. The volume is written from the perspective of women business scholars, thereby offering outside viewpoints in fields that still are very much dominated by men, and fresh insights and innovate ideas. In three main parts, the authors address the need for interdisciplinarity in research to identify ways to ensure the contribution of business to sustainability, showcasing a number of theoretical and applied approaches for researching sustainable business. The volume ‘s introductory chapter situates the volume in discourses of sustainability and corporate sustainability. It presents the Daughters of Themis Network and provides a short description of the successive eleven chapters. In Part I, Reflections, contributors discuss the significance of interdisciplinary research, how to work across disciplines, as well as the challenges of doing so. In Part II, Theory, contributors discuss theoretical and methodological aspects of interdisciplinary research. Part III presents the Practice of interdisciplinary research. In the introductory chapter, the editors reflect on the insights that can be drawn out of the contributions, and discuss the potential for future developments of interdisciplinary research for sustainability, as well as how interdisciplinary research can be communicated. The book is intended for business scholars, and will particularly appeal to those working in law, accountancy and finance, management, and organization studies. .
    Type of Medium: Online Resource
    Pages: XIV, 252 p. 11 illus., 9 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031069246
    Series Statement: Strategies for Sustainability,
    DDC: 658
    Language: English
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  • 3
    Publication Date: 2024-04-25
    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"〉There have been a number of theories proposed concerning the loss of relativistic electrons from the radiation belts. However, direct observations of loss were not possible on a number of previous missions due to the large field of view of the instruments and often high‐altitude orbits of satellites that did not allow researchers to isolate the precipitating electrons from the stably trapped. We use measurements from the ELFIN‐L suit of instruments flown on Lomonosov spacecraft at LEO orbit, which allows us to distinguish stably trapped from the drift loss cone electrons. The sun‐synchronous orbit of Lomonosov allows us to quantify scattering that occurred into the loss cone on the dawn‐side and the dusk‐side magnetosphere. The loss at MeV energies is observed predominantly on the dawn‐side, consistent with the loss induced by the chorus waves. The companion data publication provides processed measurements.〈/p〉
    Description: Plain Language Summary: There have been a number of models proposed concerning the loss of relativistic electrons from radiation belts. However, the direct observations of loss have been missing, as for most of the previous missions; the large aperture telescopes could not isolate the precipitating electrons from being stably trapped. In this study, we use measurements from ELFIN‐L on Lomonosov that allow for such separation and allow us to distinguish stably trapped from precipitating particles. We can also identify the particles that will be lost within one drift around the Earth, the so‐called drift loss cone. For understanding the loss processes and differentiating between them, it's crucially important to quantify where in local magnetic time these electrons will be scattered into the drift loss cone. Measurements from the ELFIN‐L instrument show that the loss at MeV energies is observed predominantly on the dawn side, consistent with the loss induced by the so‐called chorus plasma waves.〈/p〉
    Description: Key Points: 〈list list-type="bullet"〉 〈list-item〉 〈p xml:lang="en"〉ELFIN‐L measurements allow comparing scattering into the loss cone on the dawn and dusk side〈/p〉〈/list-item〉 〈list-item〉 〈p xml:lang="en"〉Processed Level‐3 measurements are provided in the data publication〈/p〉〈/list-item〉 〈list-item〉 〈p xml:lang="en"〉Most of the relativistic electrons are scattered into the drift loss cone on the dawn side〈/p〉〈/list-item〉 〈/list〉 〈/p〉
    Description: National Science Foundation
    Description: Russian University Satellite Mission
    Description: Helmholtz Association
    Description: European Union's Horizon 2020 Research and Innovation Program
    Description: https://doi.org/10.5880/GFZ.2.7.2023.002
    Description: https://doi.org/10.5880/GFZ.2.7.2023.003
    Description: https://doi.org/10.5880/GFZ.2.7.2023.004
    Description: https://doi.org/10.5880/GFZ.2.7.2023.005
    Description: https://doi.org/10.5880/GFZ.2.7.2023.006
    Description: https://doi.org/10.5880/GFZ.2.7.2023.007
    Description: https://www.ncei.noaa.gov/data/poes-metop-space-environment-monitor/access/l1b/v01r00/
    Keywords: ddc:538.7 ; Electron Particle Detector ; ELFIN-L ; radiation belts ; electron loss ; drift loss cone
    Language: English
    Type: doc-type:article
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  • 4
    Publication Date: 2023-03-29
    Description: Tap waters were collected from major metropolitan areas of the western United States. Tap waters were sampled between 2012-2015 from seven metropolitan areas: Los Angeles-Long Beach-Santa Ana (CA), Phoenix-Mesa-Glendale (AZ), Salt Lake City (UT), San Diego-Carlsbad-San Marcos (CA), San Francisco-Oakland-Fremont (CA), San Jose-Sunnyvale-Santa Clara (CA), and Riverside-San Bernardino-Ontario (CA). These areas represent some of the most populous in the US and employ a diversity of water management practices. Here hydrogen (d2H) and oxygen (d18O) isotope values along with strontium isotope ratios (87Sr/86Sr) and element abundances were measured. d2H and d18O of 2039 tap waters were measured following Tipple et al., 2017 (Water Research, 119, 212-224). 87Sr/86Sr and elemental compositions of 820 and 806 waters were analyzed following Tipple et al., 2018 (Scientific Reports, 8, 2224), respectively. The purpose of these data was to assess spatial, temporal, and climatic dynamics in isotope and elemental geochemistry of tap waters. We found that the isotope and elemental geochemistry of tap waters corresponded to the water sources (e.g., transported water, local surface water, groundwater, etc.) and management practices (e.g., storage in open reservoirs, mixing, etc.) for discrete areas within the larger metropolitan areas.
    Keywords: drought; elemental composition; hydrogen; hydrology; Oxygen; Strontium
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 5
    Publication Date: 2023-03-29
    Keywords: Area/locality; Arizona_tap_water; California_tap_water; DATE/TIME; drought; elemental composition; Event label; hydrogen; hydrology; LATITUDE; Location; LONGITUDE; One-time_collection_tap_water; Oxygen; Salt_Lake_Valley_tap_water; Sample ID; Strontium; United States of America; Water sample; WS; δ18O, water; δ18O, water, standard deviation; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 11414 data points
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  • 6
    Publication Date: 2023-03-29
    Keywords: Area/locality; Arizona_tap_water; California_tap_water; DATE/TIME; drought; elemental composition; Event label; hydrogen; hydrology; LATITUDE; Location; LONGITUDE; One-time_collection_tap_water; Oxygen; Salt_Lake_Valley_tap_water; Sample ID; Strontium; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard deviation; United States of America; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 3286 data points
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  • 7
    Publication Date: 2023-03-29
    Keywords: Aluminium; Antimony; Area/locality; Arizona_tap_water; Arsenic; Barium; Beryllium; Boron; Cadmium; Caesium; Calcium; California_tap_water; Cerium; Chromium; Cobalt; Copper; DATE/TIME; drought; elemental composition; Europium; Event label; hydrogen; hydrology; Iron; Lanthanum; LATITUDE; Lead; Lithium; Location; LONGITUDE; Magnesium; Manganese; Molybdenum; Neodymium; Nickel; One-time_collection_tap_water; Oxygen; Potassium; Salt_Lake_Valley_tap_water; Sample ID; Scandium; Selenium; Sodium; Strontium; Thorium; United States of America; Uranium; Vanadium; Water sample; WS; Yttrium; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 16295 data points
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  • 8
    Publication Date: 2023-05-24
    Description: Hair samples were collected throughout the United States, with particular focus on major metropolitan areas of the western United States. Hair samples were collected in 2004 as well as between 2013-2015. Here hydrogen (d2H) and oxygen (d18O) isotope values along with strontium isotope ratios (87Sr/86Sr) and element abundances were measured. d2H and d18O values, 87Sr/86Sr, and elemental compositions of 560, 385 and 306 hair samples were analyzed following Tipple et al., 2018 (Scientific Reports, 8, 2224), respectively. The purpose of these data was to assess geospatial variations in isotope and elemental geochemistry of human hair. We found that the isotope and elemental geochemistry of human hair largely corresponded to the geochemistry of drinking and bathing water, which in turn varied by water source and management practice. These data provide a foundation to reconstruct human movements using the geochemistry of modern or ancient human hair.
    Keywords: anthropogenic tracers; provenance analysis; stable isotope analysis; strontium isotopes; trace element; water chemistry; water isotopes; water management
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 9
    Publication Date: 2023-05-24
    Keywords: anthropogenic tracers; Area/locality; Arizona_1156; Arizona_1161; Arizona_1197; Arizona_1199; Arizona_570; Arizona_577; Arizona_579; Arizona_585; Arizona_602; Arizona_611; Arizona_625; Arizona_630; Arizona_635; Arizona_640; Arizona_661; Arizona_677; Arizona_678; California_1280; California_1287; California_198; California_200; California_201; California_202; California_205; California_208; California_470; California_473; California_480; California_485; California_487; California_491; California_495; California_542; California_549; California_561; California_562; California_563; California_564; California_731; California_733; California_738; California_756; California_772; California_779; California_781; California_785; California_798; California_808; California_839; California_840; California_853; California_855; California_858; California_862; California_872; California_879; California_882; California_883; California_884; California_885; California_887; California_888; California_889; California_898; California_901; California_904; California_909; California_913; California_914; California_917; DATE/TIME; Event label; HHS; Human hair sample; LATITUDE; Location ID; LONGITUDE; One-time_collection_1349; One-time_collection_1350; One-time_collection_1352; One-time_collection_1353; One-time_collection_1354; One-time_collection_1355; One-time_collection_1356; One-time_collection_1357; One-time_collection_1358; One-time_collection_1359; One-time_collection_1360; One-time_collection_1361; One-time_collection_1363; One-time_collection_1364; One-time_collection_1365; One-time_collection_1366; One-time_collection_1367; One-time_collection_1368; One-time_collection_1369; One-time_collection_1370; One-time_collection_1371; One-time_collection_1372; One-time_collection_1373; One-time_collection_1374; One-time_collection_1375; One-time_collection_1376; One-time_collection_1377; One-time_collection_1378; One-time_collection_1379; One-time_collection_1380; One-time_collection_1381; One-time_collection_1382; One-time_collection_1383; One-time_collection_1384; One-time_collection_1386; One-time_collection_1388; One-time_collection_1389; One-time_collection_1390; One-time_collection_1392; One-time_collection_1393; One-time_collection_1395; One-time_collection_1396; One-time_collection_1397; One-time_collection_1398; One-time_collection_1400; One-time_collection_1401; One-time_collection_1402; One-time_collection_1403; One-time_collection_1404; One-time_collection_1405; One-time_collection_1406; One-time_collection_1407; One-time_collection_1408; One-time_collection_1409; One-time_collection_1410; One-time_collection_1411; One-time_collection_1412; One-time_collection_1413; One-time_collection_1415; One-time_collection_1416; One-time_collection_1417; One-time_collection_1418; One-time_collection_1419; One-time_collection_1420; One-time_collection_1421; One-time_collection_1422; provenance analysis; Salt_Lake_Valley_1000; Salt_Lake_Valley_1001; Salt_Lake_Valley_1002; Salt_Lake_Valley_1003; Salt_Lake_Valley_1004; Salt_Lake_Valley_1005; Salt_Lake_Valley_1006; Salt_Lake_Valley_1007; Salt_Lake_Valley_1008; Salt_Lake_Valley_1009; Salt_Lake_Valley_1010; Salt_Lake_Valley_1011; Salt_Lake_Valley_1012; Salt_Lake_Valley_1013; Salt_Lake_Valley_1014; Salt_Lake_Valley_1015; Salt_Lake_Valley_1016; Salt_Lake_Valley_1017; Salt_Lake_Valley_1018; Salt_Lake_Valley_1019; Salt_Lake_Valley_248; Salt_Lake_Valley_249; Salt_Lake_Valley_250; Salt_Lake_Valley_251; Salt_Lake_Valley_341; Salt_Lake_Valley_342; Salt_Lake_Valley_382; Salt_Lake_Valley_396; Salt_Lake_Valley_413; Salt_Lake_Valley_420; Salt_Lake_Valley_421; Salt_Lake_Valley_432; Salt_Lake_Valley_448; Salt_Lake_Valley_996; Salt_Lake_Valley_997; Salt_Lake_Valley_998; Salt_Lake_Valley_999; Sample ID; stable isotope analysis; strontium isotopes; TC/EA-IRMS; trace element; United States; water chemistry; water isotopes; water management; Year of observation; δ18O; δ18O, standard deviation; δ Deuterium; δ Deuterium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 3134 data points
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  • 10
    Publication Date: 2023-05-24
    Keywords: Aluminium; anthropogenic tracers; Antimony; Area/locality; Arizona_1156; Arizona_1161; Arizona_1197; Arizona_1199; Arizona_570; Arizona_577; Arizona_579; Arizona_585; Arizona_602; Arizona_611; Arizona_625; Arizona_630; Arizona_635; Arizona_640; Arizona_661; Arizona_677; Arizona_678; Arsenic; Barium; Beryllium; Boron; Cadmium; Caesium; Calcium; California_198; California_200; California_201; California_202; California_205; California_208; California_470; California_473; California_480; California_485; California_487; California_491; California_495; California_542; California_549; California_561; California_562; California_563; California_564; California_731; California_733; California_738; California_756; California_772; California_779; California_781; California_785; California_872; California_879; California_882; California_883; California_884; California_885; California_887; California_888; California_889; California_898; California_901; California_904; California_909; California_913; California_914; California_917; Cerium; Chromium; Cobalt; Copper; DATE/TIME; Europium; Event label; HHS; Human hair sample; ICP-MS; Iron; Lanthanum; LATITUDE; Lead; Lithium; Location ID; LONGITUDE; Magnesium; Manganese; Molybdenum; Neodymium; Nickel; Potassium; provenance analysis; Salt_Lake_Valley_1000; Salt_Lake_Valley_1001; Salt_Lake_Valley_1002; Salt_Lake_Valley_1003; Salt_Lake_Valley_1004; Salt_Lake_Valley_1005; Salt_Lake_Valley_1006; Salt_Lake_Valley_1007; Salt_Lake_Valley_1008; Salt_Lake_Valley_1009; Salt_Lake_Valley_1010; Salt_Lake_Valley_1011; Salt_Lake_Valley_1012; Salt_Lake_Valley_1013; Salt_Lake_Valley_1014; Salt_Lake_Valley_1015; Salt_Lake_Valley_1016; Salt_Lake_Valley_1017; Salt_Lake_Valley_1018; Salt_Lake_Valley_1019; Salt_Lake_Valley_248; Salt_Lake_Valley_249; Salt_Lake_Valley_250; Salt_Lake_Valley_251; Salt_Lake_Valley_342; Salt_Lake_Valley_413; Salt_Lake_Valley_421; Salt_Lake_Valley_432; Salt_Lake_Valley_996; Salt_Lake_Valley_997; Salt_Lake_Valley_998; Salt_Lake_Valley_999; Sample ID; Selenium; Sodium; stable isotope analysis; Strontium; strontium isotopes; Thorium; trace element; United States; Uranium; Vanadium; water chemistry; water isotopes; water management; Year of observation; Yttrium; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 5779 data points
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