Results 51 to 60 of about 1,500,955 (329)

Impact of APOE ε4 Genotype Load on Cognitive Function and Lipid Metabolism in Patients With Cerebral Small Vessel Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin, Haocheng Yang, Feng Liu, Sihao Lin, Junru Hu, Jian Wang, Yulan Gou   +6 more
wiley   +1 more source

PKULAST-An Extendable Model for Land Surface Temperature Retrieval From Thermal Infrared Remote Sensing Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Land surface temperature (LST) is one of important parameter in the earth energy and water budget. Recently, open-source modules or packages are emerging as all-in-one solutions to speed up the rapid development and critical application of LST from ...
Jinshun Zhu, Huazhong Ren, Xin Ye, Yuanjian Teng, Hui Zeng, Yu Liu, Wenjie Fan   +6 more
doaj   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

Mining travel carbon emission patterns and evaluating equity in public transportation based on smart card data

International Journal of Digital Earth
Against rapid urbanization, ensuring carbon emission equity is critical for inclusive sustainable development. Using Beijing's smart card data, we develop a bottom-up accounting model to quantify travel carbon emissions in public transportation at the ...
Jiangpeng Zheng, Zhou Huang, Yi Bao, Shuliang Ren, Xiaoqin Yan, Bronte Scheuer, Junnan Qi, Ganmin Yin   +7 more
doaj   +1 more source

Spatial Up-Scaling Correction for Leaf Area Index Based on the Fractal Theory

Remote Sensing, 2016
The scaling effect correction of retrieved parameters is an essential and difficult issue in analysis and application of remote sensing information. Based on fractal theory, this paper developed a scaling transfer model to correct the scaling effect of ...
Ling Wu, Qiming Qin, Xiangnan Liu, Huazhong Ren, Jianhua Wang, Xiaopo Zheng, Xin Ye, Yuejun Sun   +7 more
doaj   +1 more source

Clinical Spectrum and Outcomes of SOX1 Antibody‐Associated Paraneoplastic Neurological Syndromes: A Chinese Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye, Zu‐Ying Kuang, Bo Li, Meng‐Qiu Pan, Li‐Hua Zhou, Yang‐Yang Dai, Si‐Fen Xie, Xian‐Guang Lin, Ye‐Peng Hu, Li‐Hong Jiang, Zhan‐Hang Wang, Wei‐Jing Zhang   +11 more
wiley   +1 more source

SRFNet: Multimodal Based Selective Receptive Field Neural Network for Time Series Forecast of Flood Range

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Flood disaster is a typical natural disaster that causes human casualties and property losses every year. Benefiting from powerful feature abstraction capabilities and automatic tuning characteristics, deep learning has become a powerful tool for ...
Zhiqing Li, Zeqiang Chen, Lai Chen, Xu Tang, Nengcheng Chen   +4 more
doaj   +1 more source

New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs

International Journal of Digital Earth, 2020
Land surface temperature (LST) retrieval from thermal infrared (TIR) remote sensing image requires atmospheric and land surface emissivity (LSE) data that are sometimes unattainable.
Huazhong Ren, Jiaji Dong, Rongyuan Liu, Yitong Zheng, Jinxin Guo, Shanshan Chen, Jing Nie, Yan Zhao   +7 more
doaj   +1 more source

A SPEED-UP GEOMETRIC CHANGE DETECTION ALGORITHM FOR VECTOR SURFACE FEATURE SET [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
At present, most of the researches on geometric change detection of vector data, they store the change detection results in the database, so they pay more attention to the accuracy of results, but not to the speed of processing.
L. Zhu, C. Li, L. Liu, J. Shen, L. Yang, Z. Liu   +5 more
doaj   +1 more source

Adoption of Free Open Source Geographic Information System Solution for Health Sector in Zanzibar Tanzania [PDF]

, 2014
\ud The study aims at developing in-depth understanding on how Open Source Geographic Information System technology is used to provide solutions for data visualization in the health sector of Zanzibar, Tanzania.
BAKAR, Abubakar D., HAMIAR, S., KIMARO, Honest C., SULTAN, Abu Bakar MD   +3 more
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