Results 181 to 190 of about 62,622 (323)

Astrocytic Mitochondria Transplantation Rescues Neuron Loss and Dendritic Injuries in Acute Cerebral Ischemic Stroke Mouse Model by Flexibly Regulating Mitochondria Dynamics

Annals of Neurology, Volume 99, Issue 6, Page 1571-1588, June 2026.
Objective Cerebral ischemic stroke causes neuronal oxygen/energy deprivation, disrupting mitochondrial function including reduced membrane potential and bioenergetics, exacerbating neuronal injury. Mitochondrial defects are, therefore, a central neuropathological node and potential therapeutic target.
Ning Bian, Jianing Shen, Linwei Tian, Jinghui Li, Lu Yang, Bo Yuan, Shulin Li, Yuyu Niu, Lu Zhao, Jingkuan Wei   +9 more
wiley   +1 more source

Possible Mechanism for the Record‐Breaking Cold Event Over Northeastern China in December 2023: Role of Extreme Negative North Atlantic Oscillation

Atmospheric Science Letters, Volume 27, Issue 6, June 2026.
In early winter of 2023, an extreme negative North Atlantic Oscillation (NAO) event occurs. Subsequently, the NAO‐related Barents–Kara Seas high drives cold air southward into Siberia, enhancing the Siberian High. Upper‐level convergence and subsidence further contribute to its intensification, leading to the development of the historically strongest ...
Yi Yuan, Jianqi Sun, Zixuan Zeng, Yixi Liu, Shui Yu   +4 more
wiley   +1 more source

Robust Constrained Partial Least Squares: A Robust Integrated Algorithm for Multivariate Regression in the Presence of Outliers, Interfering Analytes, and Structured External Influences

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT Partial least squares (PLS) regression is widely used for multivariate calibration in high‐dimensional and collinear settings. However, classical PLS relies on least squares optimization and is therefore sensitive to anomalous observations, leverage points, and structured spectral interferences.
Puneet Mishra
wiley   +1 more source

FastPCA: An R package for fast singular value decomposition. [PDF]

J Open Source Softw
Ward KR, Hayes M, Peres LC, Fridley BL, Eschrich S, Soupir AC.   +5 more
europepmc   +1 more source

Measurement and Prediction of Unmixing‐Dependent Spreading due to Collinearity in Spectral Flow Cytometry

Cytometry Part A, Volume 109, Issue 6, Page 436-455, June 2026.
ABSTRACT Advances in spectral cytometry instrumentation and fluorescent reagents have led to the possibility of ultra‐high‐parameter panels exceeding 50 colors. However, panel size is limited in practice by unmixing‐dependent spreading (UDS), a phenomenon which leads to a progressive deterioration of unmixed signal‐to‐noise ratios in panels that ...
Peter L. Mage, Andrew J. Konecny, Florian Mair   +2 more
wiley   +1 more source

Bioclimatic Reorganization of Carbon–Water–Energy Coupling Revealed by Eddy Covariance and Interpretable Machine Learning

Global Change Biology Communications, Volume 1, Issue 2, June 2026.
Ecosystem carbon, water, and energy exchange reorganize systematically along climatic gradients from humid to dry conditions. Tapering shapes indicate shifts in the relative importance of environmental drivers and ecosystem fluxes across climate space, with thicker ends representing greater influence or magnitude.
Koong Yi, Margaret S. Torn, Gabriel B. Senay, Lixin Wang, Kosana Suvočarev, Joshua B. Fisher, Arman Ahmadi, Housen Chu, Gil Bohrer, Georgianne W. Moore, Stephen P. Good, Steven A. Kannenberg, Justine E. C. Missik, Kanishka Mallick, Kul Khand, Youngryel Ryu, Kuno Kasak, A. Christopher Oishi, David E. Reed, Xiangzhong Luo, Carl J. Bernacchi, Dennis D. Baldocchi   +21 more
wiley   +1 more source

Signal extraction in SWAXS data for the compact X-ray light sources: a machine learning approach. [PDF]

Sci Rep
Opperman AK, Huang S, Botha S, Fung R, Golla SN, Schmidt KE, Grant TD, Kirian RA, Hosseinizadeh A.   +8 more
europepmc   +1 more source

Enhancing Recommendation Systems through SVD-based collaborative filtering and community detection. [PDF]

PLoS One
Keerthika T, Ignisha RG, Rajamani V, Kumar SS, Selvam K, Aiyyappan MR, Babu LST.   +6 more
europepmc   +1 more source

Using Principal Components Analysis to Visualize Motion and Mitigate Artifacts in Dynamic Optical Coherence Tomography

Journal of Biophotonics, Volume 19, Issue 6, June 2026.
We demonstrate that Principal Component Analysis (PCA) can be used in dynamic OCT to substantially reduce artifacts from strong specular reflections, isolate movement within the sample, and create thin, histology‐like images, thereby avoiding the need for complex, time‐consuming techniques used in clinical histopathology.
Alejandro Martínez Jiménez, Adrian Bradu   +1 more
wiley   +1 more source

Autoencoder Denoising for Network-Based Spatial Transcriptomics Data with Applications for Cell Signaling Estimation. [PDF]

Complex Netw Appl
Javaid A, Frost HR.
europepmc   +1 more source