Results 81 to 90 of about 8,548 (258)

Augmenting and Assaying Nav1.1 Protein Quantity for Dravet Syndrome Therapy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Dravet Syndrome (DS) is a developmental and epileptic encephalopathy predominantly caused by heterozygous loss‐of‐function variants in SCN1A, which encodes Nav1.1. Conserved upstream open reading frames (uORFs) in SCN1A were validated to regulate translation in reporter assays, demonstrating the therapeutic viability of increasing Nav1.1 from ...
Aiswarya Saravanan, Jordan Safran, Anna Loughman, Grace Lin, Shivanshi Vaid, Dana Allababidi, Peter M. Tessier, Louis T. Dang   +7 more
wiley   +1 more source

Settlement Prediction of High Fill Subgrade in Loess Areas Based on Variational Mode Decomposition and Particle Swarm Optimization of Long Short-Term Memory Networks

Taiyuan Ligong Daxue xuebao
[Purposes] This research is conducted to achieve accurate prediction of settlement trends for high fill subgrades in loess areas. [Methods] In this work, a Variational Mode Decomposition (VMD) and Particle Swarm Optimization (PSO) optimized Long Short ...
CHAI Shaobo, YUE Shanqiu, WANG Mingyi, LYU Longlong, FAN Kangkai   +4 more
doaj   +1 more source

Clinical Significance of Therapeutic Drug Level Monitoring for Mycophenolate in Patients With Extrarenal Systemic Lupus Erythematosus—A Systematic Review and Meta‐Analysis

Arthritis Care &Research, EarlyView.
Objective Clinical response to mycophenolic acid (MPA) is highly heterogeneous; thus, therapeutic drug level monitoring (TDM) may help improve treatment efficacy. This systematic review and meta‐analysis examined therapeutic ranges for MPA levels associated with better outcomes and safety in patients with systemic lupus erythematosus (SLE ...
Zahraa Qamhieh, Dalia Sriwi, Callie Saric, Tripti Singh, Christie M. Bartels, Shivani Garg   +5 more
wiley   +1 more source

Practical prediction method for settlement considering whole consolidation process

Yantu gongcheng xuebao
The construction of transportation infrastructure above soft soil foundation is prevalent in China, making it imperative to establish a prediction method for settlement applicable to deep soft soil foundations.
CHEN Kai 1, YAO Yangping 1, ZHU Binglong 2
doaj   +1 more source

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki, Alireza Amindarolzarbi, Tsion Abdi, John Clarke, Michael Hughes, Ami A. Shah, Zsuzsanna H. McMahan   +6 more
wiley   +1 more source

Monte Carlo Simulation-Based Robustness Analysis of High-Speed Railway Settlement Prediction Models for Non-Stationary Time Series

Applied Sciences
Accurate prediction of post-construction settlement in high-speed railway (HSR) soft foundations is critical for operational safety yet challenging due to the non-equidistant and non-stationary nature of observation data.
Zhenyu Liu, Hu Zeng, Huiqin Guo, Taifeng Li, Zhonglin Zhu, Youming Zhao, Qianli Zhang, Tengfei Wang   +7 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

FDEM-based analysis of overlying strata fracture mechanisms and surface subsidence prediction in shallow-buried ultra-thick coal seam mining

Meitan kexue jishu
Shallow buried extra-thick coal seams are widely distributed in the western mining areas of China, due to their shallow burial depth, thin bedrock layers and thick loose layers, and other storage characteristics, in the process of mining both overburden ...
Ran BI, Chaofan YANG, Haozhe HUANG, Jianxi REN, Yongjun SONG, Pengyu ZHU   +5 more
doaj   +1 more source

Deformation monitoring and prediction for residential areas in the Panji mining area based on an InSAR time series analysis and the GM-SVR model

Open Geosciences, 2019
Underground coal mining activities often cause ground subsidence and damage to surface construction, which seriously threatens the lives and property of residents in mining areas.
Li Jinchao, Gao Fei, Lu Jiaguo, Tao Tingye   +3 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source