Results 121 to 130 of about 1,681,604 (218)

MGP_HNSC32: A H&E Morphology‐Derived 32‐Gene Prognostic Signature in Head and Neck Squamous Cell Carcinoma

Cancer Medicine, Volume 15, Issue 11, November 2026.
ABSTRACT Head and neck squamous cell carcinoma (HNSC) exhibits substantial molecular and morphological heterogeneity, yet current morphology‐based prognostic models often lack biological interpretability. We developed a transformer‐based computational framework (CTransPath) to virtually predict gene expression directly from hematoxylin and eosin (H&E ...
Di Zhao, Zhiheng Huang, Jing Xu, Zheng Zhang, Jochen Hess, Bohai Feng   +5 more
wiley   +1 more source

Improving AI Explainability Through Design of Experiments

Journal of Chemometrics, Volume 40, Issue 11, November 2026.
ABSTRACT In artificial intelligence (AI), the complexity of many models and processes surpasses human understanding, making it challenging to determine why a specific prediction is made. This lack of transparency is particularly problematic in critical fields like healthcare, where trust in a model's predictions is paramount.
Alexandra Stadler, Werner G. Müller, Radoslav Harman   +2 more
wiley   +1 more source

Bayesian Iterative Adaptive Lasso Quantile Regression

IOSR Journal of Mathematics, 2017
Rahim Alhamzawi, Haithem Taha Mohammad Ali   +1 more
openaire   +1 more source

Quantifying genetic and nongenetic improvement for grain yield in faba bean breeding

Crop Science, Volume 66, Issue 6, November/December 2026.
Abstract Faba Bean (Vicia faba) is a cool season legume crop, often grow as a rotation crop to improve sustainability of the farming systems. The Australian faba bean breeding program is publicly funded, with improving grain yield as a key breeding objective to increase grower profitability.
Huanhuan Zhao, Charity Chidzanga, Zulfi Jahufer, Samuel C. Catt   +3 more
wiley   +1 more source

Bayesian Nested Group Lasso

We introduce the Bayesian Nested Group Lasso, a hierarchical model extending the Group Lasso to nested structures. By formulating the penalty as a scale mixture of Gaussians, we derive an efficient MCMC sampling scheme.
Rosario Barone
core   +1 more source

Climate‐Driven Distribution Modeling of the Glacial Apollo Butterfly (Parnassius glacialis) for Biodiversity Conservation

Ecology and Evolution, Volume 16, Issue 11, November 2026.
This study addresses a pressing issue in conservation science: the vulnerability of high‐altitude, range‐restricted insect species to climate change. The Glacial Apollo (Parnassius glacialis) is a butterfly of significant ecological and esthetic value, yet little is known about its response to projected climate scenarios.
Yongli Wang, Mingsheng Yang, Yupei Hu, Raul Narciso C. Guedes, Youssef Dewer, Suqin Shang, Xiushan Li   +6 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, Volume 45, Issue 7, Page 3170-3190, November 2026.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Monthly Runoff Forecasting Method for Centianhe Reservoir Based on Bayesian Regularized Model

Renmin Zhujiang
To address the insufficient accuracy of medium- to long-term hydrological forecasting caused by extended lead times and unclear physical mechanisms, this study investigates probabilistic forecasting methods based on Bayesian regularized models, aiming to
HE Ranran, GUI Yongjun, WANG Wenpeng, HE Shuanglong, LIAO Hui, QIN Xiangpu   +5 more
doaj  

Field investigation of glucosinolates and morphological traits in mitigating Psylliodes chrysocephala larval infestation through crop varieties and companion planting

Pest Management Science, Volume 82, Issue 11, Page 10716-10726, November 2026.
Genotype and cropping system influenced oilseed rape ecophysiological traits, including glucosinolate compounds (glucoraphanin, glucobrassicanapin, and butyl‐glucosinolates) and biomass, which were linked to Psylliodes chrysocephala larval infestation, with varietal effects stronger than faba bean companion planting.
Laurie Magnin, Alexandra Jullien, Alice Baux, Corentin Barbu, Gaetan Glauser, Ivan Hiltpold   +5 more
wiley   +1 more source

High‐Dimensional Cumulative Sum Control Charts for Industrial Measurement Systems

Quality and Reliability Engineering International, Volume 42, Issue 7, Page 4342-4361, November 2026.
ABSTRACT High dimensional sensing in modern factories and energy assets produces thousands of correlated signals. Detecting small process shifts is challenging because many classical multivariate charts lose power or become unstable. We present two cumulative sum procedures for two sample monitoring that remain effective when the number of variables is
Osama Alhadi, Tahir Mahmood, Muhammad Riaz, Nasir Abbas   +3 more
wiley   +1 more source