Results 191 to 200 of about 8,329 (301)

Forecast‐Error Diagnostics in Neural Weather Models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan, Gregor Skok, Žiga Zaplotnik   +2 more
wiley   +1 more source

Improved Centile Estimation by Transformation And/Or Adaptive Smoothing of the Explanatory Variable. [PDF]

Stat Med
Rigby RA, Stasinopoulos DM, Cole TJ.
europepmc   +1 more source

Search and Passage Are Decoupled for Migrating Trout Kelts at Multi‐Exit Dam

River Research and Applications, EarlyView.
ABSTRACT Longitudinal and lateral river connectivity have been drastically reduced over time, with hydropower development as a major driver of fragmentation. While fishways are widely implemented to support upstream migration, downstream passage remains a major challenge.
Halvor Kjærås, Jon Museth, Finn Økland, Karl Øystein Gjelland, Henrik Baktoft, Torbjørn Forseth   +5 more
wiley   +1 more source

Nonlinear relationships between fatigue, fear of COVID-19, and PTSD among mental health professionals: the findings of a multi-site survey in China. [PDF]

Front Psychiatry
Zhang W, Sun HL, Chen P, Zhang Q, Sha S, Su Z, Cheung T, Ungvari GS, Jackson T, An FR, Xiang YT, Wang G.   +11 more
europepmc   +1 more source

Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

Remote Sensing in Ecology and Conservation, EarlyView.
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song, Yuan Jia, Lin Zhang, Dongxiu Wu   +3 more
wiley   +1 more source

Mapping the Conformational Landscape of DNA Minicircles Through Atomic Force Microscopy and Shape Space Analysis

Small, EarlyView.
An automated framework is presented for quantifying DNA conformational variability from atomic force microscopy (AFM) images. DNA backbones are reduced to spline representations and analyzed using cyclic Procrustes analysis to measure shape similarity across ensembles.
Laura Wiggins, Tobias A. Firth, Max C. Gamill, Thomas E. Catley, Agnes Noy, Jonathan M. Fogg, Lynn Zechiedrich, Alice L. B. Pyne   +7 more
wiley   +1 more source

U-Shaped Lipid-CVD Links in Older Adults: Reversed LDL-C and HDL-C Associations and Goldilocks Zone. [PDF]

JACC Adv
Ye X, Du S, Chen S, Shi Y, Wang W, Wan Y, Wang J, Zeng J, Pan C, Yang S, Liu M, Wang S, He Y.   +12 more
europepmc   +1 more source

Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle

steel research international, EarlyView.
Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen, Juhani Nissilä, Ville‐Valtteri Visuri, Aki Sorsa, Matias Hauru, Jouni Laurila, Toni Liedes   +6 more
wiley   +1 more source

A Low-Cycle Fatigue Life Prediction Method for a Drive Shaft Considering the Effects of Loading and Strength Degradation. [PDF]

Materials (Basel)
Yang L, Yu X, Liu F, Wang L, Zhang J, Zhang X, Zhang J.   +6 more
europepmc   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source