Results 61 to 70 of about 5,475 (153)

Magnetic Resonance Imaging Reveals Meningeal Lymphatic Impairment in Lung Adenocarcinoma Brain Metastasis Progression

Advanced Science, Volume 13, Issue 16, 18 March 2026.
This study demonstrates meningeal lymphatic impairment associated with lung adenocarcinoma brain metastasis progression in both human patients and mouse models, establishes clinically applicable non‐invasive imaging biomarkers for quantitative analyzing mLV structure and function, and reveals mLVs as robust prognostic indicators and promising potential
Yuan Zhang, Shucheng Jin, Penghui Guo, Yuying Yin, Yichun Hua, Xiaosheng Ding, Zhe Zhang, Shuo Chen, Xu Han, Baowang Li, Yan Liu, Xiaoyan Li, Deling Li, Jing Jing, Wei Shi, Wang Jia   +15 more
wiley   +1 more source

Severe Headache and Acute Blindness: A Case of Pituitary Apoplexy

Clinical Case Reports, Volume 14, Issue 3, March 2026.
ABSTRACT Pituitary apoplexy is a rare, life‐threatening syndrome that commonly occurs in the adenomatous pituitary gland. It presents with a myriad of severe neuroendocrine and ophthalmological signs and symptoms. Early diagnosis and prompt treatment are vital in the management of pituitary apoplexy.
Abdul‐Rahman Faiza, Adwoa Agyemang Adu‐Gyamfi, Kwaku Asare‐Ankomah, Kwadwo Faka Gyan, Solomon Gyabaah   +4 more
wiley   +1 more source

Cell‐Type‐Specific WTAP and ALKBH5‐Mediated m6A Methylation Orchestrates Mental Disorders via Gut‐Brain Axis Metabolite Signaling: Multi‐Omics Evidence and Pyroptosis‐Associated Loop Mechanism

CNS Neuroscience &Therapeutics, Volume 32, Issue 3, March 2026.
MR analysis revealed distinct causal associations of m6A modifiers (WTAP/ALKBH5) with mental disorders. Gut microbiota (GCA‐900066755, Bacillus) and CSF metabolites (theophylline, isoleucine) mediated 5.06%–45.28% of effects via pathways such as WTAP → GCA‐900066755 → theophylline → ADHD. Single‐cell eQTL linked WTAP‐mediated ADHD risk to XCL1‐NK cells,
Jingjing Zhang, Xue Liu, Xiaoming Liu, Liqun Zhao, Junjie Bi   +4 more
wiley   +1 more source

High‐Fidelity Simulation‐Driven Control Framework for Robust Grid Integration of Renewable Energy Systems

Energy Science &Engineering, Volume 14, Issue 3, Page 1286-1299, March 2026.
This work proposes a high‐fidelity, simulation‐driven control framework for robust grid integration of hybrid PV–wind systems using a modular, hierarchical multi‐loop architecture with adaptive decision logic. The framework coordinates power, DC‐link voltage, and grid currents under fast load and generation changes, enabling safe exploration of extreme
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Pradeep Jangir, Zhe Liu, Aseel Smerat   +5 more
wiley   +1 more source

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source

Ocular Motor Abnormalities in Functional Neurological Disorder: A Video‐Oculography Study

Movement Disorders Clinical Practice, Volume 13, Issue 3, Page 711-722, March 2026.
Abstract Background Functional neurological disorders (FND) can include various sensory, motor or cognitive symptoms. Eye movement recordings, measured through video‐oculography, could serve as biomarkers for characterizing these dysfunctions in FND.
Aude Sangare, Astrid de Liège, Bertrand Gaymard, Sophie Rivaud‐Péchoux, Cécilia Bonnet, Evžen Růžička, Jaromír May, Tereza Serranová, Francine Mesrati, Emmanuel Roze, Marie Vidailhet, Céline Louapre, Lionel Naccache, Béatrice Garcin   +13 more
wiley   +1 more source

Multi‐Modal Deep Feature Extraction and Classifier‐Level Integration for Brain Tumour Classification Using CT and MRI Image

Artificial Intelligence for Engineering, Volume 2, Issue 1, Page 18-37, March 2026.
This multi‐modal deep learning framework classifies brain tumours using multi‐backbone deep feature extraction and classifier‐level fusion from CT and MRI images. In extensive experiments, fused features from SqueezeNet, ResNet, and MobileNet combined with a neural network classifier outperform single‐modality and single‐model baselines and show that ...
N. Shyamala, S. Mahaboob Basha
wiley   +1 more source

Reframing the Chipped Edge: Combining Materiality, Ontology, and Embodiment to Rethink Stone Tool‐Making and Human Conscious Behavior in the Paleolithic Past

Anthropology of Consciousness, Volume 37, Issue 1, Spring 2026.
ABSTRACT Combining different theoretical frameworks can lead to new insights into the role of material things in shaping human experience in the Paleolithic period. This paper first presents a historical review of three theoretical approaches in archaeology, anthropology, and the philosophy of mind: Material culture and materiality studies, the ...
Bar Efrati
wiley   +1 more source

AOSNP‐ADAPTR resource level‐based recommendations on practical diagnostic strategies for WHO CNS5 adult‐type diffuse gliomas

Brain Pathology, Volume 36, Issue 2, March 2026.
ADAPTR recommendations for Adult‐type Diffuse Gliomas in Resource‐restrained settings. Abstract The fifth edition of the WHO classification of CNS Tumors (WHO CNS5) has revised the diagnostic and grading criteria for Adult‐type Diffuse Gliomas (ADGs) by integrating molecular parameters with histologic features.
Vani Santosh, Chitra Sarkar, Shilpa Rao, Ho‐Keung Ng, Junji Shibahara, Maysa Al‐Hussaini, Michael E. Buckland, Sung‐Hye Park, Tarik Tihan, Pieter Wesseling, David N. Louis, Takashi Komori   +11 more
wiley   +1 more source

Enhancing Urban Flood Loss Mapping by Integrating ANFIS Classifier With a Two‐Dimensional Hydrodynamic Model

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Flood loss mapping is one of the essential prerequisites for urban flood assessment studies to identify areas vulnerable to floods and to make cities safe and resilient. This study develops a neuro‐fuzzy loss model to generate flood loss maps, classifying loss levels into several categories ranging from no loss to severe loss.
Mahdi Sedighkia, Roslyn Prinsley, Barry Croke   +2 more
wiley   +1 more source