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Pilot functional magnetic resonance imaging study of clemastine‐aided functional recovery on a mouse model of demyelination
Published 2025-03-01“…Anatomical magnetic resonance imaging (T2w‐MRI) and resting state functional MRI (rs‐FMRI) studies were conducted on weeks W0, W2, W5 (maximal demyelination) W7 and W10 (remyelination). …”
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222
Cellulose ionogels: Recent advancement in material, design, performance and applications
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223
Trigonella foenum-graecum L. protects against renal function decline in a mouse model of type 2 diabetic nephropathy by modulating the PI3K-Akt-ERK signaling pathway
Published 2025-03-01“…The primary bioactive constituents were subsequently identified using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS). Network pharmacology analysis was integrated with these data to uncover potential molecular targets of HLB in DN. …”
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224
Valorization of Ricinus communis outer shell biomass to biochar: Impact of thermal decomposition temperature on physicochemical properties and EMI shielding performance
Published 2024-12-01“…The vector network analyser (VNA) measured a maximum shielding efficiency of 26.5 dB in the X-band frequency when adding 40 wt% biochar prepared at 700 °C to the epoxy matrix. …”
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225
Retina Modeling by Artificial Neural Networks
Published 2024-03-01“…The objective of this article is to provide a theoretical framework for the structure and function of the retina. The first focus of this article is the examination of the physiological aspects of the retina. …”
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226
A node deployment algorithm for maximizing network lifetime in delay-constrained duty-cycled wireless sensor networks
Published 2018-04-01“…An optimization problem is first formulated where the objective function and constraints are estimated based on node distribution in the area and the network parameters. …”
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227
PERBAIKAN KONTRAS CITRA MAMMOGRAM PADA KLASIFIKASI KANKER PAYUDARA BERDASARKAN FITUR GRAY-LEVEL CO-OCCURRENCE MATRIX
Published 2020-04-01“…The final step is the classification using Radial Basis Function Neural Network (RBFNN) and Support Vector Machine (SVM). …”
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228
Correlation learning based multi-task model and its application
Published 2023-07-01“…According to different parameter-based sharing mechanisms, the LeNet and radial basis function (RBF) multi-task learning models with correlation layers are constructed. …”
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Low-frequency rTMS modulates small-world network properties in an AVH-related brain network in schizophrenia
Published 2025-04-01“…Resting-state fMRI data were collected before and after treatment to assess functional connectivity within the predefined 35-region AVH-related network. small-worldness (σ), normalized clustering coefficient (γ), and normalized characteristic path length (λ), as well as functional segregation (clustering coefficient [Cp], local efficiency [El]) and functional integration (global efficiency [Eg], characteristic path length [Lp])—were analyzed before and after rTMS. …”
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Recent progress on functional hydrogels as biomaterial for biomedicine
Published 2025-07-01“…As a polymer material with a three-dimensional network structure, hydrogel has broad application prospects in the field of biomedical due to its high moisture content, porosity, flexibility, biocompatibility and controllable physical and chemical properties. …”
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233
RSA-PT: A Point Transformer-Based Semantic Segmentation Network for Uninterrupted Operation in a Distribution Network Scene
Published 2025-04-01“…As an important means of achieving digitization, point cloud technology is crucial to the intelligent transformation of distribution network. To this end, the authors embedded the improved RSA (residual spatial attention) module and modified the loss function of network, proposing a deep learning network called RSA-PT for the semantic segmentation of a distribution network scene point cloud. …”
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234
Effects of acute sleep deprivation on the brain function of individuals with migraine: a resting-state functional magnetic resonance imaging study
Published 2025-03-01“…Images were obtained with blood-oxygen-level-dependent and T1-weighted sequences on a Siemens 7.0 T MRI scanner. We conducted analyses of changes in the low-frequency fluctuations (ALFF) values and functional connectivity (FC) between brain networks and within network before and after ASD in both MWoA group and HC group. …”
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235
Emotion anticipation and processing in depression: Behavioral, neural, and physiological reactivity
Published 2025-01-01“…Subjects underwent functional magnetic resonance imaging with simultaneous measurement of electrodermal activity. …”
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236
Repurposing major metabolites of lamiaceae family as potential inhibitors of α-synuclein aggregation to alleviate neurodegenerative diseases: an in silico approach
Published 2025-04-01“…Functional network and enrichment pathway analysis established the direct or indirect involvement of α-syn in various NDs. …”
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237
Software Define Wide Area Network (SDWAN) network optimization analysis on radiolink-fiber optic access media migration
Published 2024-11-01“…Furthermore, this study conducted an optimization analysis on the SDWAN (Software Defined Wide Area Network) network, SDWAN functions as a firewall that can provide connectivity support and infrastructure network development in branch offices with system security in one centralized platform. …”
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238
Safety Performance Functions for Low-Volume Roads
Published 2011-12-01“…This paper analyzes roadway safety conditions using the network approach for a number of Italian roadways within the Province of Salerno. …”
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239
The peculiarities of Rivne region tourism infrastructure functioning
Published 2020-12-01“…In the article, the current state and peculiarities of Rivne region tourism infrastructure functioning have been analysed; the perspective directions of development have been defined. …”
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240
Integrating Bayesian classification and ANN for lithofacies classification using well and seismic data: Bahregansar case study
Published 2025-03-01“…AI and SQp were utilized as the primary inputs to facies discrimination in the Ghar Reservoir, while the Probability density function (PDF) results served as auxiliary inputs in the conjugate-based artificial neural network analysis. …”
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