Results 61 to 70 of about 1,772,577 (139)

Evaluation of Matrix Effects in SIMS Using Gaussian Process Regression: The Case of Olivine Mg Isotope Microanalysis

Rapid Communications in Mass Spectrometry, Volume 39, Issue 13, 15 July 2025.
ABSTRACT Rationale Matrix effects by secondary ion mass spectrometry (SIMS) are empirically corrected by calibration using matrix‐matched reference materials. However, conventional parametric regression cannot estimate the prediction uncertainty to account for the difference in compositions of new data and reference materials. Applying Gaussian process
Keita Itano, Kohei Fukuda, Noriko T. Kita, Kenta Ueki, Tatsu Kuwatani, Shotaro Akaho   +5 more
wiley   +1 more source

Near‐Real‐Time Monitoring of Global Terrestrial Water Storage Anomalies and Hydrological Droughts

Geophysical Research Letters, Volume 52, Issue 7, 16 April 2025.
Abstract Global terrestrial water storage anomaly (TWSA) products from the Gravity Recovery and Climate Experiment (GRACE) and its Follow‐On mission (GRACE/FO) have an approximately three‐month latency, significantly limiting their operational use in water management and drought monitoring. To address this challenge, we develop a Bayesian convolutional
Shaoxing Mo, Maike Schumacher, Albert I. J. M. van Dijk, Xiaoqing Shi, Jichun Wu, Ehsan Forootan   +5 more
wiley   +1 more source

Modelamiento matemático de la fermentación de vinazas azucareras para la producción de un biofertilizante

, 2021
figuras, tablas El desarrollo de modelos matemáticos es considerado una de las bases para la estandarización, escalamiento, supervisión y control de procesos químicos, físicos y biológicos. En los procesos biológicos, como las fermentaciones, conocer el comportamiento del microorganismo permite predecir y controlar su eficiencia en la formación de ...
openaire   +1 more source

Optimized J2 Recovery for Multi‐Decadal Geophysical Studies

Geophysical Research Letters, Volume 52, Issue 7, 16 April 2025.
Abstract The time history of the Earth's dynamic oblateness, or J2 ${J}_{2}$, is a unique climate data record, with its estimation from satellite laser ranging (SLR) tracking data beginning in 1976. Due to its impact on variations in length of day (LOD), the long‐term J2 ${J}_{2}$ time series is frequently applied to LOD studies and their contributions,
B. D. Loomis, T. J. Sabaka, K. E. Rachlin, M. J. Croteau, F. G. Lemoine, R. S. Nerem, A. Bellas‐Manley   +6 more
wiley   +1 more source

Fundamentals and Applications of Dual‐Frequency Magnetic Particle Spectroscopy: Review for Biomedicine and Materials Characterization

Advanced Science, Volume 12, Issue 13, April 3, 2025.
Superparamagnetic nanoparticles show non‐linear magnetization behavior. Thus, they respond with magnetic intermodulation frequencies upon dual‐frequency magnetic excitation. These uniquely characterize their hydrodynamic and core sizes as well as binding states.
Hans‐Joachim Krause, Ulrich M. Engelmann   +1 more
wiley   +1 more source

Trophic Plasticity of the Invasive Redbelly Tilapia (Coptodon zillii) in China Inferred From DNA Metabarcoding Analysis

Ecology and Evolution, Volume 15, Issue 4, April 2025.
The feeding patterns of invasive populations of C. zillii in different habitats and seasons within a large‐scale geographic area (spanning 9.86° latitude and 10.47° longitude) in China were directly compared. ABSTRACT The redbelly tilapia (Coptodon zillii) is one of the most dangerous invasive alien fishes in the world.
Shoujie Tang, Ying Xing, Temesgen Tola Geletu, Jinliang Zhao   +3 more
wiley   +1 more source

Wind Turbine Stall‐Induced Aeroelastic Instability Mitigation Using Vortex Generators

Wind Energy, Volume 28, Issue 4, April 2025.
ABSTRACT Inspired by Vortex Generators' success in delaying airfoil stall, this study explores the potential of using Vortex Generators to mitigate stall‐induced instability in floating offshore wind turbines at parked and skewed inflow conditions for the first time. Significant improvements are achieved by strategically installing Vortex Generators in
Qingshen Meng, Chao Chen, Xugang Hua, Wei Yu   +3 more
wiley   +1 more source

Out‐of‐sample predictability of firm‐specific stock price crashes: A machine learning approach

Journal of Business Finance &Accounting, Volume 52, Issue 2, Page 1095-1115, April 2025.
Abstract We use machine learning methods to predict firm‐specific stock price crashes and evaluate the out‐of‐sample prediction performance of various methods, compared to traditional regression approaches. Using financial and textual data from 10‐K filings, our results show that a logistic regression with financial data inputs performs reasonably well
Devrimi Kaya, Doron Reichmann, Milan Reichmann   +2 more
wiley   +1 more source

A SIFT Study of Reactions of Positive and Negative Ions With Polyfluoroalkyl (PFAS) Molecules in Dry and Humid Nitrogen at 393 K

Rapid Communications in Mass Spectrometry, Volume 39, Issue 6, 30 March 2025.
ABSTRACT Rationale Data are required for SIFT‐MS analysis of perfluoroalkyl and polyfluoroalkyl substances (PFAS), which are persistent in the environment and cause adverse health effects. Specifically, the rate coefficients and product ion branching ratios of the reactions of H3O+, NO+, O2+•, O−•, OH−, O2−•, NO2− and NO3− with PFAS vapours are needed.
Stefan James Swift, Maroua Omezzine Gnioua, Kseniya Dryahina, Patrik Španěl   +3 more
wiley   +1 more source

Artificial intelligence in mathematics education: A systematic literature review

International Electronic Journal of Mathematics Education, 2022
R. Hidayat, M. Mohamed, Nurain Nabilah binti Suhaizi, Norhafiza binti Mat Sabri, Muhamad Khairul Hakim bin Mahmud, Siti Khadijah Binti Baharuddin   +5 more
semanticscholar   +1 more source