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  • PANGAEA  (1,360)
  • Springer  (77)
  • American Geophysical Union  (38)
  • 2020-2024  (1,475)
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  • 1
  • 2
    Publication Date: 2021-07-01
    Description: The results of a search for gluino and squark pair production with the pairs decaying via the lightest charginos into a final state consisting of two W bosons, the lightest neutralinos ($$ilde{chi }^0_1$$ χ ~ 1 0 ), and quarks, are presented: the signal is characterised by the presence of a single charged lepton ($$e^{pm }$$ e ± or $$mu ^{pm }$$ μ ± ) from a W boson decay, jets, and missing transverse momentum. The analysis is performed using 139 fb$$^{-1}$$ - 1 of proton–proton collision data taken at a centre-of-mass energy $$sqrt{s}=13$$ s = 13   delivered by the Large Hadron Collider and recorded by the ATLAS experiment. No statistically significant excess of events above the Standard Model expectation is found. Limits are set on the direct production of squarks and gluinos in simplified models. Masses of gluino (squark) up to 2.2  (1.4 ) are excluded at 95% confidence level for a light $$ilde{chi }^0_1$$ χ ~ 1 0 .
    Print ISSN: 1434-6044
    Electronic ISSN: 1434-6052
    Topics: Physics
    Published by Springer
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  • 3
    Publication Date: 2021-10-01
    Description: We report the results of a search for a new vector boson ($$ A'$$ A ′ ) decaying into two dark matter particles $$chi _1 chi _2$$ χ 1 χ 2 of different mass. The heavier $$chi _2$$ χ 2 particle subsequently decays to $$chi _1$$ χ 1 and an off-shell Dark Photon $$ A'^* ightarrow e^+e^-$$ A ′ ∗ → e + e - . For a sufficiently large mass splitting, this model can explain in terms of new physics the recently confirmed discrepancy observed in the muon anomalous magnetic moment at Fermilab. Remarkably, it also predicts the observed yield of thermal dark matter relic abundance. A detailed Monte-Carlo simulation was used to determine the signal yield and detection efficiency for this channel in the NA64 setup. The results were obtained re-analyzing the previous NA64 searches for an invisible decay $$A' ightarrow chi overline{chi }$$ A ′ → χ χ ¯ and axion-like or pseudo-scalar particles $$a ightarrow gamma gamma $$ a → γ γ . With this method, we exclude a significant portion of the parameter space justifying the muon g-2 anomaly and being compatible with the observed dark matter relic density for $$A'$$ A ′ masses from 2$$m_e$$ m e up to 390 MeV and mixing parameter $$varepsilon $$ ε between $$3imes 10^{-5}$$ 3 × 10 - 5 and $$2imes 10^{-2}$$ 2 × 10 - 2 .
    Print ISSN: 1434-6044
    Electronic ISSN: 1434-6052
    Topics: Physics
    Published by Springer
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  • 4
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    Springer Nature | Springer
    Publication Date: 2024-04-14
    Description: This 'Open Access' SpringerBrief provides foundational knowledge for designing autonomous, asynchronous systems and explains aspects of users relevant to designing for these systems, introduces principles for user-centered design, and prepares readers for more advanced and specific readings. It provides context and the implications for design choices made during the design and development of the complex systems that are part of operation centers. As such, each chapter includes principles to summarize the design implication that engineers can use to inform their own design of interfaces for operation centers and similar systems. It includes example materials for the design of a fictitious system, which are referenced in the book and can be duplicated and extended for real systems. The design materials include a system overview, the system architecture, an example scenario, a stakeholder analysis, a task analysis, a description of the system and interface technology, and contextualized design guidelines. The guidelines can be specified because the user, the task, and the technology are well specified as an example. Building Better Interfaces for Remote Autonomous Systems is for working system engineers who are designing interfaces used in high throughput, high stake, operation centers (op centers) or control rooms, such as network operation centers (NOCs). Intended users will have a technical undergraduate degree (e.g., computer science) with little or no training in design, human sciences, or with human-centered iterative design methods and practices. Background research for the book was supplemented by interaction with the intended audience through a related project with L3Harris Technologies (formerly Harris Corporation).
    Keywords: User Interfaces and Human Computer Interaction ; Software Engineering ; Autonomous Systems ; User-Centered Design ; Operation Centres ; Interface Technology ; Human-Centered Design ; Open Access ; User interface design & usability ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
    Language: English
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  • 5
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    Springer Nature | Springer
    Publication Date: 2021-02-10
    Description: This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age—prediction based on datasets. On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data.
    Keywords: Science and Technology Studies ; Human Geography ; IT Law, Media Law, Intellectual Property ; Artificial Intelligence ; AI ; Machine learning ; artificial intelligence ; 'big data' ; probability theory ; history of ideas ; legal interpretation ; Transhumanism ; Futurism ; Oliver Wendell Holmes Jr ; Wendell Holmes Jr. ; legal philosophy ; machine bias ; algorithmic bias ; Open Access ; Sociology ; Human geography ; Entertainment & media law ; Artificial intelligence ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography::RGC Human geography ; bic Book Industry Communication::L Law::LN Laws of Specific jurisdictions::LNJ Entertainment & media law ; bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence
    Language: English
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  • 6
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    Springer Nature | Springer
    Publication Date: 2024-04-05
    Description: This open access book… There is significant interest in the Philosophy of Science community to understand the role that "effective theories" have in the work of forefront science. The ideas of effective theories have been implicit in science for a long time, but have only been articulated well in the last few decades. Since Wilson's renormalization group revolution in the early 1970's, the science community has come to more fully understand its power, and by the mid-1990's it had gained its apotheosis. It is still one of the most powerful concepts in science, which has direct impact in how one thinks about and formulates theories of nature. It is this power that this Brief sets out to emphasize through historical analysis and current examples. This is an open access book.
    Keywords: Effectiv field theory ; Effective action ; Effective theories ; Naturalness and fine-tuning in theoretical physics ; Phenomenology ; Renormalization group ; Symmetries in Physics ; thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics ; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDX History of science ; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDA Philosophy of science
    Language: English
    Format: image/jpeg
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  • 7
  • 8
    Publication Date: 2023-01-30
    Description: This study presents data collected from International Ocean Discovery Program (IODP) Expedition 355 Arabian Sea Monsoon to investigate changes in sediment provenance as well as the effect of sediment transport processes on deep-sea sediment samples. From Site U1457, 83 sediment samples were analyzed, complemented by 44 samples from Site U1456. Samples were analyzed for bulk grain-size using a Malvern Mastersizer 2000. The clay fraction was separated, digested, and analyzed for K/Al ratios using inductively couple plasma optical emission spectroscopy (ICP-OES). Radiogenic strontium (87Sr/86Sr) was measured using a Neptune Plus multicollector inductively coupled plasma mass spectrometer (MC-ICP-MS) and a Triton Plus multicollector thermal ionization mass spectrometer (TIMS). A subset of 38 samples were analyzed for radiogenic neodymium composition (143Nd/144Nd) using TIMS.
    Keywords: Arabian Sea; clay; erosion; Expedition 355; neodymium (Nd); physical fractionation; Site U1456; Site U1457; Strontium (Sr)
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 9
    Publication Date: 2023-07-03
    Keywords: 355-U1456A; 355-U1456C; 355-U1456D; AGE; Arabian Sea; clay; Cumulative Offset; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; erosion; Event label; Exp355; Expedition 355; ICP-OES; Instrument; Joides Resolution; Lithologic unit/sequence; neodymium (Nd); Neodymium-143/Neodymium-144 ratio; Neodymium-143/Neodymium-144 ratio, error; Neptune Plus multicollector inductively coupled plasma mass spectrometer (MC-ICP-MS) + Triton Plus multicollector thermal ionization mass spectrometer (TIMS); physical fractionation; Potassium/Aluminium ratio; Potassium/Aluminium ratio, error; Sample code/label; Sample comment; Site U1456; Site U1457; Strontium (Sr); Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, error; Thermal Ionization Mass Spectrometry (TIMS); ε-Neodymium
    Type: Dataset
    Format: text/tab-separated-values, 404 data points
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  • 10
    Publication Date: 2023-07-03
    Keywords: -; 355-U1457A; 355-U1457B; 355-U1457C; AGE; Arabian Sea; clay; Clay minerals; DEPTH, sediment/rock; Diameter; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; erosion; Event label; Exp355; Expedition 355; ICP-OES; Joides Resolution; Laser diffraction particle size analyser (Malvern Mastersizer 2000); Mode, grain size; neodymium (Nd); physical fractionation; Sample code/label; Sand; Silt; Site U1456; Site U1457; Size fraction 〈 0.020 µm; Size fraction 〉 2 mm, gravel; Size fraction 0.02-0.2 µm; Size fraction 0.20-0.24 µm; Size fraction 0.24-0.28 µm; Size fraction 0.28-0.32 µm; Size fraction 0.32-0.36 µm; Size fraction 0.36-0.42 µm; Size fraction 0.42-0.48 µm; Size fraction 0.48-0.55 µm; Size fraction 0.55-0.63 µm; Size fraction 0.63-0.72 µm; Size fraction 0.72-0.83 µm; Size fraction 0.83-0.96 µm; Size fraction 0.96-1.1 µm; Size fraction 1.10-1.26 µm; Size fraction 1.26-1.45 µm; Size fraction 1.45-1.66 µm; Size fraction 1.66-1.91 µm; Size fraction 1.91-2.19 µm; Size fraction 10.00-11.48 µm; Size fraction 104.71-120.23 µm; Size fraction 1096.48-1258.93 µm; Size fraction 11.48-13.18 µm; Size fraction 120.23-138.04 µm; Size fraction 1258.93-1445.44 µm; Size fraction 13.18-15.14 µm; Size fraction 138.04-158.49 µm; Size fraction 1445.44-1659.59 µm; Size fraction 15.14-17.38 µm; Size fraction 158.49-181.97 µm; Size fraction 1659.59-1905.46 µm; Size fraction 17.38-19.95 µm; Size fraction 181.97-208.93 µm; Size fraction 19.95-22.91 µm; Size fraction 1905.46-2000 µm; Size fraction 2.19-2.51 µm; Size fraction 2.51-2.88 µm; Size fraction 2.88-3.31 µm; Size fraction 208.93-239.88 µm; Size fraction 22.91-26.3 µm; Size fraction 239.88-275.42 µm; Size fraction 26.30-30.2 µm; Size fraction 275.42-316.23 µm; Size fraction 3.31-3.8 µm; Size fraction 3.80-4.37 µm; Size fraction 30.20-34.67 µm; Size fraction 316.23-363.08 µm; Size fraction 34.67-39.81 µm; Size fraction 363.08-416.87 µm; Size fraction 39.81-45.71 µm; Size fraction 4.37-5.01 µm; Size fraction 416.87-478.63 µm; Size fraction 45.71-52.48 µm; Size fraction 478.63-549.54 µm; Size fraction 5.01-5.75 µm; Size fraction 5.75-6.61 µm; Size fraction 52.48-60.26 µm; Size fraction 549.54-630.96 µm; Size fraction 6.61-7.59 µm; Size fraction 60.26-69.18 µm; Size fraction 630.96-724.44 µm; Size fraction 69.18-79.43 µm; Size fraction 7.59-8.71 µm; Size fraction 724.44-831.76 µm; Size fraction 79.43-91.2 µm; Size fraction 8.71-10 µm; Size fraction 831.76-954.99 µm; Size fraction 91.20-104.71 µm; Size fraction 954.99-1096.48 µm; Standard deviation; Strontium (Sr)
    Type: Dataset
    Format: text/tab-separated-values, 6308 data points
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