Results 61 to 70 of about 37,129 (261)

Microglial GPR35 Ameliorates Epileptogenesis and Neuroinflammation via PDGFA Domain 2 Signaling

Advanced Science, EarlyView.
Activation of microglial G protein–coupled receptor 35 (GPR35) by L‐kynurenic acid (L‐Kyna) initiates a platelet‐derived growth factor A (PDGFA)–dependent phosphoinositide 3‐kinase–protein kinase B (PI3K–AKT) signaling cascade that dampens hippocampal neuroinflammation, thereby restraining epileptogenesis, lowering seizure susceptibility, and ...
Qi Wang, Tingting Qu, Qibing Sun, Ran Li, Junfei Dong, Yuming Du, Ziyin Xuan, Lei Wang, Hanli Li, Jianyun Sun, Fangliang Chen, Jinshuai Liu, Zifan Yang, Jianxiang Lei, Qian Yang, Bin Wang, Zhiming Zhou, Yu Wang   +17 more
wiley   +1 more source

Bioorthogonal Sonodynamic Plug‐and‐Play Targeting Chimeras (SDPTAC) for Precise Targeted Protein Degradation

Advanced Science, EarlyView.
Bioorthogonal SDPTAC harnesses US‐responsive Ce6‐TCO and Tz ligands via IEDDA click chemistry to assemble degraders in situ, generating ROS that selectively eliminate nuclear, cytosolic, and membrane proteins, thereby suppressing deep‐seated tumors in vivo.
Yuhan Bao, Yaojin Zhu, Xinhao Wei, Yuxin Fang, Jiayi Zhu, Fei Gao, Guoqiang Dong, Shipeng He, Chunquan Sheng   +8 more
wiley   +1 more source

APPLICATION OF CHOSEN NORMALIZATION METHODS IN THE PROCESS OF CONSTRUCTION OF SYNTHETIC MASURURE IN INDIRECT CONSUMPTION RESEARCH [PDF]

, 2014
The main purpose of this paper is to find the most effective method for the normalization of a final set of diagnostic variables for indirect consumption research with the use of synthetic consumption measures.
Czech, Artur
core   +1 more source

Automated detection of atrial fibrillation using RR intervals and multivariate-based classification [PDF]

, 2016
Automated detection of AF from the electrocardiogram (ECG) still remains a challenge. In this study, we investigated two multivariate-based classification techniques, Random Forests (RF) and k-nearest neighbor (k-nn), for improved automated detection of ...
Bond, Raymond R., Finlay, Dewar D., Guldenring, Daniel, Kennedy, Alan, McLaughlin, James, Moran, Kieran   +5 more
core   +1 more source

WRAPPER BASED FEATURE SELECTION FOR CT IMAGE [PDF]

ICTACT Journal on Image and Video Processing, 2015
Diagnostic imaging is invaluable. Magnetic Resonance Imaging (MRI), digital mammography, Computed Tomography (CT), and others ensure effective noninvasive mapping of a subject’s anatomy, and increased normal and diseased anatomy knowledge for medical ...
D. Chitra, G. M. Nasira
doaj  

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Real‐Time Sampling‐Based Model Predictive Control Based on Reverse Kullback–Leibler Divergence and Its Adaptive Acceleration

Advanced Intelligent Systems, EarlyView.
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley   +1 more source

Input data quality control for NDNQI national comparative statistics and quarterly reports: a contrast of three robust scale estimators for multiple outlier detection

BMC Research Notes, 2012
Background To evaluate institutional nursing care performance in the context of national comparative statistics (benchmarks), approximately one in every three major healthcare institutions (over 1,800 hospitals) across the United States, have joined the ...
Hou Qingjiang, Crosser Brandon, Mahnken Jonathan D, Gajewski Byron J, Dunton Nancy   +4 more
doaj   +1 more source

A Novel Mechanism for Misbehavior Detection in Vehicular Networks

IEEE Access, 2023
Intelligent Transport Systems (ITS) have provided new technologies to protect human life, speed up assistance, and improve traffic, to aid drivers, passengers, and pedestrians.
Edivaldo Pastori Valentini, Geraldo Pereira Rocha Filho, Robson Eduardo De Grande, Caetano Mazzoni Ranieri, Lourenco Alves Pereira Junior, Rodolfo Ipolito Meneguette   +5 more
doaj   +1 more source

Complexity without chaos: Plasticity within random recurrent networks generates robust timing and motor control [PDF]

, 2012
It is widely accepted that the complex dynamics characteristic of recurrent neural circuits contributes in a fundamental manner to brain function. Progress has been slow in understanding and exploiting the computational power of recurrent dynamics for ...
A Banerjee, A Litwin-Kumar, C Miall, C van Vreeswijk, CA Skarda, CV Buhusi, D Bueti, D Durstewitz, D Durstewitz, D Sussillo, DA Crowe, Dean V Buonomano, DJ Watts, DV Buonomano, DV Buonomano, DV Buonomano, DV Buonomano, DV Buonomano, E Pastalkova, EM Izhikevich, G Boffetta, G Fagiolo, H Jaeger, H Jaeger, H Kantz, H Merchant, H Sompolinsky, J Coull, JF Medina, JF Medina, JJ Hopfield, JK Liu, JX Li, K Rajan, M London, M Monteforte, M Rabinovich, MA Long, MB Ahrens, MD Mauk, MM Churchland, MS Goldman, MS Matell, N Brunel, P Janssen, P Simen, RB Ivry, RB Ivry, RHR Hahnloser, RM Church, Rodrigo Laje, S Ganguli, S Song, XJ Wang   +53 more
core   +2 more sources