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Estimation of true dates of various flowering stages at a centennial scale by applying a Bayesian statistical state space model.
Published 2025-01-01“…These results indicated that our proposed Bayesian statistical state space model can estimate cherry flowering phenology that takes into account centennial-scale air temperature data recorded at a nearby weather station with a coarse temporal resolution.…”
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142
A large elevation in 15N/14N of collagenous amino acids: an insight from starvation experiments of marine organisms
Published 2025-02-01Subjects: Get full text
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143
Impact of coronavirus disease 2019 on Dental Match residency applicant statistics in the United States of America: a cross sectional analysis
Published 2025-02-01“…Abstract Background The purpose of this paper is to do a cross-sectional analysis to evaluate the impact of the Coronavirus Disease 2019 pandemic on Dental Match Residency statistics from the year 2019–2023. Methods The Dental Match Residency statistics available from the Dental Match website were analyzed from years 2019–2023 to evaluate the impact of pre-pandemic (2019–2020), pandemic (2021, 2022) and post-pandemic year trends (2023). …”
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Using Image-based AI for insect monitoring and conservation - InsectAI COST Action
Published 2025-02-01Subjects: Get full text
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A Digital-based Talent Acquisition Framework for Start-ups: A Qualitative Multiple Case Study
Published 2024-06-01Subjects: “…start-ups…”
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149
Revisiting Near-infrared Features of Kilonovae: The Importance of Gadolinium
Published 2025-01-01Get full text
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150
Disk in the Circumstellar Envelope of Carbon Mira V Cygni
Published 2025-01-01Get full text
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A Comprehensive Study of Type I (Thermonuclear) Bursts in the New Transient SRGA J144459.2–604207
Published 2025-01-01Get full text
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152
How to Run Linear Mixed Effects Analysis for Pairwise Comparisons? A Tutorial and a Proposal for the Calculation of Standardized Effect Sizes
Published 2025-01-01Subjects: “…statistical analysis…”
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Singing for the stars : a complete program for training your voice /
Published 1998View in OPAC
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Differentiation and characterization of volatile compounds in five common milk powders using HS-GC-IMS, HS-SPME-GC–MS, and multivariate statistical approaches
Published 2025-01-01“…This study analysed and identified the flavor characteristics of five common types of milk powders in China, including yak milk powder, donkey milk powder, camel milk powder, goat milk powder, and cow milk powder, using Headspace-Gas Chromatography-Ion Mobility Spectrometry (HS-GC-IMS), Headspace Solid-Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC–MS), and multivariate statistical analysis. Results identified 55 and 86 volatile compounds via HS-GC-IMS and HS-SPME-GC–MS, respectively, revealing significant differences between milk powders. …”
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