Guillaume Guérin et al · Paleoanthropology Society · 2023 · ISSN 1545-0031
The Palaeolithic site of La Ferrassie (SW France) has been extensively studied since its discovery during the 19th century. In addition to a large sequence including Middle and Upper Paleolithic layers, the site has yiel...
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Romano, Sergio Gaston et al · Public Library of Science · 2018 · ISSN 1932-6203
Probabilistic proposals of Language of Thoughts (LoTs) can explain learning across different domains as statistical inference over a compositionally structured hypothesis space. While frameworks may differ on how a LoT m...
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Baldo, M. N. et al · OMICS · 2015 · ISSN 0975-0851
The study was performed to compare the bioavailability of two ketoprofen capsule (50 mg) formulations: Flogofin®, as test formulation, and Profenid®, as reference formulation. The study was conducted open with randomiz...
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Hui Liang James et al · Emerald Publishing · 2026 · ISSN 2307-3055
We empirically examine the impact of firm-level regulatory intensity, an external force or context, on corporate strategic change (i.e. changes in a firm's financing, investing and operating decisions to boost its compet...
LCC LCC:Accounting. Bookkeeping; TENDOkZpbmFuY2U~Idioma English
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Andrew Wong-Pack et al · Rockefeller University Press · 2026 · ISSN 3065-8993
RationaleCommon variable immunodeficiency (CVID) is a chronic, multisystem immune disorder associated with substantial symptom burden beyond infections, particularly among individuals with noninfectious inflammatory comp...
LCC LCC:Immunologic diseases. AllergyIdioma English
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Daniel Kosiorowski · Lodz University Press · 2014 · ISSN 0208-6018
Considerations related to income distribution and income inequalities in populations of economic agents belong to the core of the modern economic theory. They appear also in a public debate concerning postulates as to ta...
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Alderete, Natalia Mariel et al · RILEM Publications SARL · 2020 · ISSN 2518-0231
Long‐term capillary imbibition in cementitious materials is relevant to describe their durable behaviour. After several weeks, when capillary rise is no longer progressing, a distinguished change in the slope (from the...
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As an optical machine learning framework, Diffractive Deep Neural Networks (D2NN) take advantage of data-driven training methods used in deep learning to devise light–matter interaction in 3D for performing a desired s...
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Krzysztof Szymoniak-Książek · Lodz University Press · 2020 · ISSN 0208-6018
In this paper, properties of nonparametric significance tests verifying the random field isotropy hypothesis are discussed. In particular, the subject of the conducted analysis is the probability of rejecting the null hy...
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Johnny Dyreborg et al · SAGE Publishing · 2022 · ISSN 1891-1803
Abstract Background Limited knowledge regarding the relative effectiveness of workplace accident prevention approaches creates barriers to informed decision‐making by policy makers, public health practitioners, workpla...
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Benjamin J. Goodheart · Embry-Riddle Aeronautical University · 2017 · ISSN 2374-6793
While organizations are increasingly encouraged to evaluate safety culture in the context of measurement of leading safety indicators within a safety management system, there remains no generally agreed upon means by whi...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma English
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Baglietto, Gabriel et al · Public Library of Science · 2017 · ISSN 1932-6203
Two, partially interwoven, hot topics in the analysis and statistical modeling of neural data, are the development of efficient and informative representations of the time series derived from multiple neural recordings, ...
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Hsin‐Yi Weng et al · Oxford University Press · 2025 · ISSN 0891-6640
Abstract Understanding and correctly interpreting statistical results presented in scientific articles is a required skill for practicing evidence‐based veterinary medicine. A prerequisite for doing so is the adequate ...
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Application of the first canonical variable in the evaluation of animal production trials Aplicação da primeira variável canônica na avaliação de experimentos de desempenho produtivo com animais
Edenio Detmann et al · Sociedade Brasileira de Zootecnia · 2005 · ISSN 1516-3598
The objective of this work was to evaluate the inter treatment discrimination according to feed conversion efficiency in several animal performance experiments. The variables investigated were: feed conversion ratio (FCR...
LCC LCC:Animal cultureIdioma English
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V. Rajini et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Synchronous reluctance motors (SynRMs) are increasingly critical in industrial and traction applications due to their high efficiency, magnet-free construction, and thermal robustness. However, fault diagnosis f...
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Abordagens freqüentista e bayesiana para avaliação genética de bovinos da raça Canchim para características de crescimento Frequentist and bayesian approachs for genetic evaluation of Canchim beef cattle for growth traits
Fábio Luiz Buranelo Toral et al · Sociedade Brasileira de Zootecnia · 2007 · ISSN 1516-3598
Este trabalho foi realizado com os objetivos de: a) comparar os componentes de (co)variância obtidos por meio dos métodos da Máxima Verossimilhança Restrita (REML) e da inferência bayesiana (IB); b) realizar a avali...
LCC LCC:Animal cultureIdioma English
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Geetha Kandasamy et al · Frontiers Media S.A · 2026 · ISSN 2296-2565
BackgroundSurgical antibiotic prophylaxis (SAP) is an essential part of perioperative care, yet adherence to recommended practices varies across surgical categories. Differences in antibiotic choice and duration between ...
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Yuting Deng · Frontiers Media S.A · 2026 · ISSN 2296-2565
IntroductionThe complex interplay between environmental dynamics, biodiversity loss, and public health necessitates advanced methodologies for quantifying and interpreting their interactions. Respiratory health, highly s...
LCC LCC:Public aspects of medicineIdioma English
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Comportamento da castanha-do-brasil (Bertholletia excelsa) e da cupiúba (Goupia glabra) em sistema agrosilvicultural na região da Confiança, Cantá - Roraima Behavior of castanha-do-brasil (Bertholletia excelsa) and cupiúba (Goupia glabra) in an agrosilvicultural system in Confiança region, Cantá - Roraima State
Liane Marise Moreira Ferreira et al · Instituto Nacional de Pesquisas da Amazônia · 2009 · ISSN 0044-5967
O presente trabalho objetivou estudar o desempenho das espécies castanha-do-brasil (Bertholetia excelsa) e cupiúba (Goupia glabra) e o ajuste de uma função de crescimento e uma equação para estimar o diâmetro de c...
LCC LCC:Science (General)Idioma English
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Owain Barton et al · Wiley · 2026 · ISSN 2056-3485
Abstract Motion‐activated cameras (‘camera‐traps’) have become indispensable for wildlife monitoring. Data from camera‐trap surveys can be used to make inferences about animal behaviour, space use and populatio...
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Andi Anzanul Zikra et al · Ikatan Ahli Informatika Indonesia · 2026 · ISSN 2580-0760
Coconut shells are a vital raw material for charcoal briquette production, and ensuring their quality is crucial for producing high-quality charcoal products. This study develops an optimized deep learning model for dete...
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Ali Alsubaie · Universitas Islam Indonesia · 2026 · ISSN 2086-3128
Purpose — This study examines how global economic policy uncertainty (GEPU) shapes government expenditure dynamics in emerging market economies.
Methods — Using an annual panel of 28 emerging economies from 1998 to ...
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