Results 91 to 100 of about 6,176 (187)

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

Using dendroclimatic analysis of exotic deciduous conifers in an arboretum to document tree growth in response to climate change, Northeast Ohio, USA

PLANTS, PEOPLE, PLANET, EarlyView.
Rising temperatures and wetter conditions in the Midcontinent of North America are influencing climate responses in trees. Dendroclimatological analyses of four exotic deciduous conifer species from Secrest Arboretum, Northeast Ohio help identify past, present and future climate‐tree interactions.
Gregory Wiles, Nicholas Wiesenberg, Srushti Chaudari, Wenshuo Zhao, Mazvita Chikomo, Benjamin Gaglioti, Meagen Pollock   +6 more
wiley   +1 more source

Recommendations for estimating and reporting vaccine effectiveness by time since vaccination: a COVID-19 case study. [PDF]

Am J Epidemiol
Kissling E, Nunes B, Hooiveld M, Martínez-Baz I, Monge S, Robertson C, Knol M, Sève N, Mlinarić I, Domegan L, Machado A, Whitaker H, Lazar M, Meijer A, Enkirch T, Casado I, Pérez-Gimeno G, William N, Enouf V, Kurečić Filipović S, McKenna A, Rodrigues AP, de Lusignan S, Timnea OC, Latorre-Margalef N, Castilla J, Pozo F, Hamilton M, Masse S, Ilić M, Basile L, O'Donnell J, Guiomar R, Riess M, Popescu RM, Rose AMC, Andrews N, Bacci S, Pastore Celentano L, Valenciano M, Moren A, Beutels P, Hens N, I-MOVE-COVID-19 and ECDC primary care study teams.   +43 more
europepmc   +1 more source

Nomogram integrating MRI radiomics and white matter hyperintensity grading for predicting overall survival in patients with non‐small cell lung cancer and brain metastases receiving whole‐brain radiotherapy

Precision Radiation Oncology, EarlyView.
A prognostic nomogram integrating radiomic features and white matter hyperintensity (WMH) grading was developed to enable individualized survival prediction in patients with brain metastases (BMs). Integration of these imaging biomarkers into the clinical model enhanced predictive performance, indicating their incremental prognostic value for BM ...
Jianan Ni, Yuefeng Lu, Haoli Xu, Xuni Xu, Mengjing Zhao, Yingnan Xue, Gang Li, Yuxia Duan   +7 more
wiley   +1 more source

Deep Neural Network With a Smooth Monotonic Output Layer for Dynamic Risk Prediction. [PDF]

Stat Med
Zhou Z, Deng Y, Liu L, Jiang H, Peng Y, Yang X, Zhao Y, Ning H, Allen NB, Wilkins JT, Liu K, Lloyd-Jones DM, Zhao L.   +12 more
europepmc   +1 more source

R3Net: Recursive Residual Refinement Network Architecture for Decoder‐Free Medical Image Segmentation

Precision Radiation Oncology, EarlyView.
We propose R3Net, a decoder‐free medical image segmentation framework that recursively refines multiscale representations within the encoder using residual pathways. R3Net achieves competitive accuracy with reduced model complexity and improved computational efficiency across multiple medical imaging modalities.
Jing Huang, Yongkang Zhao, Yuhan Li, Zhitao Dai, Cheng Chen, Qiying Lai   +5 more
wiley   +1 more source

Enhanced Bayesian Spline Regression Approach for Modelling Trends in Infections Caused by Pathogens Commonly Transmitted Through Food. [PDF]

Zoonoses
Weller DL, Sevilla S, Hetrick E, Rose EB, Forstedt J, Caravas J, Ray LC, Payne DC, Steele MK, Hoekstra RM, Bruce BB.   +10 more
europepmc   +1 more source

Modeling of Disease Progression of Type 2 Diabetes Using Real‐World Data: Quantifying Competing Risks of Morbidity and Mortality

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 606-615, March 2025.
ABSTRACT Type 2 diabetes (T2D) is a progressive metabolic disorder that could be an underlying cause of long‐term complications that increase mortality. The assessment of the probability of such events could be essential for mortality risk management. This work aimed to establish a framework for risk predictions of macrovascular complications (MVC) and
Hanna Kunina, Stefan Franzén, Maria C. Kjellsson   +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

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