Results 121 to 130 of about 22,159 (262)

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai, Audrey Zhu, Chunxuan Ma, Ming Wang, Yifan Yang, Lynn M. Bekris, Maria Khrestian, Frank P. DiFilippo, Mikhail Nasrallah, Aaron Burberry, James B. Leverenz, Yuan Hou, Feixiong Cheng, Stephen M. Rao   +13 more
wiley   +1 more source

A Novel Point-Interval-Valued Wind Speed Prediction System from the Perspective of Mixed-Frequency Data. [PDF]

Entropy (Basel)
Li L, Yang Y, Long J, Zhang X.
europepmc   +1 more source

Comparative study on typhoon's wind speed prediction by a neural networks model and a hydrodynamical model. [PDF]

MethodsX, 2019
Haghroosta T.
europepmc   +1 more source

microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan, Praveen Velammal, Kanmani Muthiah, Madhu Jatty, Christopher Adams   +4 more
wiley   +1 more source

Fuzzy granulation-based wind speed prediction with multi-objective optimization. [PDF]

Sci Rep
Zhang C, Wang J, Li Z.
europepmc   +1 more source

Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate treatment effect heterogeneity across phenotypic clusters of patients with cryptogenic embolic stroke using causal inference methods. Methods From a retrospective, multicenter cohort of patients with cryptogenic embolic stroke, we estimated the treatment effect of anticoagulation versus antiplatelet therapy in patients ...
Elena Badillo Goicoechea, Patrick Ellsworth, James E. Siegler, James R. Brorson, Christina M. Lineback, Frank G. Conyers, Deborah Kerrigan, Kelsey Eklund, Shadi Yaghi, Farid Khasiyev, Emiliya Melkumova, Collin J. Culbertson, Marissa D'Souza, Dinesh V. Jillella, Patrick Glover, Hassan Aboul‐Nour, Fadi Nahab, Mahan Shahrivari, Simona Nedelcu, David S. Liebeskind, Matthew M. Smith, Aaron Rothstein, Anna Bowman, Alicia Zha, Narendra Kala, Ahmad Abu Qdais, Sami Al Kasab, Mudassir Farooqui, Diana Rojas‐Soto, Yasmin Aziz, Franziska Herpich, Jean‐Philippe Daniel, Sean L. Thompson, Vivek Patel, Thanh N. Nguyen, Siddharth Sehgal, Wenzheng Yu, Wayneho Kam, Russel Van Coevering, Oana M. Dumitrascu, Muhammad Alvi, Balaji Krishnaiah, Setareh Salehi Omran, Guillermo Linares, Eesha Singh, Hamid Ali, Mary Penckofer, Jesse M. Thon, Shani Mannion, Dalia Chahien, Lucia Chen, Fawad Talat, Mehdi Abbasi, Richa Sharma   +53 more
wiley   +1 more source

A novel combination model for ultra-short-term wind speed prediction. [PDF]

Sci Rep
Xu S, Niu J.
europepmc   +1 more source

Dynamic Changes in Serum Glial Fibrillary Acidic Protein Levels Predicts Early Neurological Deterioration After Intravenous Thrombolysis in Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Minor strokes may be associated with early neurological deterioration (END) and disabilities. The objective was to investigate the role of serum glial fibrillary acidic protein (GFAP) levels in predicting END. Methods Data originated from a multicenter cohort study conducted prospectively.
Jie Zhou, Yang Qu, Reziya Abuduxukuer, Peng Zhang, Ting Wang, Jian‐Hua Gao, De‐Wang Pan, Zhi‐Mei Yuan, Chun‐Ying Li, Li‐Ping Chen, Jin‐Hua Chen, Ji‐Liang Gu, An‐Ying Wang, Li‐Gang Jiang, Liang Liu, Yong‐Fei Jiang, Chun‐Fei Wang, Yan Jia, Hong Xin, Chun‐Li Jiang, Ying‐Bin Qi, Xue‐Feng Hu, Song Li, Hang Jin, Zhen‐Ni Guo, Yi Yang, on behalf of the Biomarkers of Brain Injury Investigator Study Group, Lijuan Wang, Ting Wang, Jianhua Gao, Dewang Pan, Zhimei Yuan, Chunying Li, Liping Chen, Jinhua Chen, Jiliang Gu, Anying Wang, Ligang Jiang, Liang Liu, Yongfei Jiang, Chunfei Wang, Yan Jia, Hong Xin, Chunli Jiang, Yingbin Qi, Xuefeng Hu   +45 more
wiley   +1 more source

Multi-scale wind speed prediction model based on improved escape algorithm for optimizing time-varying filtering empirical modal decomposition. [PDF]

Sci Rep
Zheng H, Wu Q, Lv X, Zeng P, Zhu X, Zeng Y.   +5 more
europepmc   +1 more source

PCGF1 Promotes the Tumorigenesis of Malignancies Through Upregulating CCDC34 in Glioma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Polycomb group factor 1 (PCGF1) and coiled‐coil domain‐containing protein 34 (CCDC34) have been implicated in tumorigenesis in multiple malignancies. However, their biological functions and prognostic significance in glioma remain poorly defined.
Yuanbing Chen, Jianbing Xiong, Ziran Ou, Tianhao Zhao, Hui Li, Jun Huang, Zhi Tian, Wuyang Cao   +7 more
wiley   +1 more source