Results 191 to 200 of about 537,689 (239)

An Integrated Gradient Boosting Machine Approach With Fisher's Discriminant Analysis: Empirical Assessment on Five Benchmark Datasets and Simulations

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 5, October 2026.
ABSTRACT The aim of this study is to assess the impact of different dimensionality reduction techniques—specifically Principal Component Analysis (PCA) and Fisher's Linear Discriminant Analysis (LDA)—on the classification performance of Gradient Boosting Machines (GBM).
Giulio Enzo Donninelli   +1 more
wiley   +1 more source

Alkali Chalcogenido Dialuminates A6[Al2Q6] (A = K, Rb, Cs; Q = S, Se, Te)

open access: yesZeitschrift für anorganische und allgemeine Chemie, Volume 652, Issue 15, 1 October 2026.
Seven new alkali chalcogenido aluminates A6[Al2Q6] (A = K‐Cs, Q = S‐Te) complement the family of simple metallates(III) A6[M2Q6] (M = Al‐In, FeIII) with dinuclear anions of two edge sharing [AlQ4] tetrahedra. Despite the similar anions, straightforward bonding situation and physical properties, these metallates crystallize in seven different structure ...
Michael Schwarz   +2 more
wiley   +1 more source

Deep Learning Predicts Hematopoietic Stem Cell Aging From 3D Chromatin Images

open access: yesAging Cell, Volume 25, Issue 10, October 2026.
Deep learning identifies age‐associated chromatin architecture signatures in 3D images of hematopoietic stem cell nuclei, providing an interpretable imaging biomarker that distinguishes young from aged cells and detects chromatin rejuvenation after treatment.
Pablo Iáñez Picazo   +5 more
wiley   +1 more source

Capturing Non‐Linear Neighborhood Structure: An Autoencoder Approach to Census‐Based Dimensionality Reduction for Residential Differentiation

open access: yesGeographical Analysis, Volume 58, Issue 4, October 2026.
ABSTRACT Dimensionality reduction is fundamental to applied spatial data analysis, condensing high‐dimensional indicators into parsimonious representations for mapping and modeling. Principal component analysis (PCA) remains a dominant approach, yet its linearity assumptions constrain its capacity to capture the complex, non‐linear dependencies ...
Alex Singleton   +2 more
wiley   +1 more source

Mutual antagonism between auxin and diacylglycerol acyltransferase 2 regulates high‐temperature‐induced hypocotyl elongation

open access: yesNew Phytologist, Volume 252, Issue 1, Page 222-240, October 2026.
Proposed model for auxin–DGAT2 crosstalk regulating high‐temperature‐induced hypocotyl elongation. Summary Cell elongation is a fundamental process in plant growth and development, and it is significantly affected by temperature changes. While the signaling mechanisms driving high‐temperature‐induced cell elongation have been extensively studied, the ...
Mohinur Khamzaaliyeva   +3 more
wiley   +1 more source

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