Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.hrthm.2020.09.005 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
CAECENET: An automatic system processing photometer and ceilometer data from different networks to provide columnar and vertically-resolved aerosol properties.
PLoS One
December 2024
Group of Atmospheric Optics (GOA-UVa), Universidad de Valladolid, Valladolid, Spain.
This work introduces CAECENET, a new system capable of automatically retrieving columnar and vertically-resolved aerosol properties running the GRASP (Generalized Retrieval of Atmosphere and Surface Properties) algorithm using sun-sky photometer (aerosol optical depth, AOD; and sky radiance measurements) and ceilometer (range corrected signal; RCS) data as input. This method, so called GRASPpac, is implemented in CAECENET, which assimilates sun-sky photometers data from CÆLIS database and ceilometer data from ICENET database (Iberian Ceilometer Network). CAECENET allows for continuous and near-real-time monitoring of both vertical and columnar aerosol properties.
View Article and Find Full Text PDFReconstructing a new hippocampal engram for systems reconsolidation and remote memory updating.
Neuron
December 2024
School of Life Sciences, Tsinghua University, Beijing 100084, P.R. China; IDG/McGovern Institute of Brain Research, Tsinghua University, Beijing 100084, P.R. China. Electronic address:
Recalling systems-consolidated neocortex-dependent remote memories re-engages the hippocampus in a process called systems reconsolidation. However, underlying mechanisms, particularly for the origin of the reinstated hippocampal memory engram, remain elusive. By developing a triple-event labeling tool and employing two-photon imaging, we trace hippocampal engram ensembles from memory acquisition to systems reconsolidation and find that remote recall recruits a new engram ensemble in the hippocampus for subsequent memory retrieval.
View Article and Find Full Text PDFAssessing the feasibility of atmospheric water vapor monitoring with standalone BDS receiver.
Environ Monit Assess
December 2024
School of Electronic Information Engineering, Beihang University, Beijing, 100191, China.
The accurate monitoring of atmospheric water vapor is important for disaster prevention and environmental management. The ground-based BeiDou Navigation Satellite System (BDS) technique for atmospheric water vapor monitoring has demonstrated high accuracy and stable performance. Considering autonomy and safety, the standalone BDS receiver will be promoted in China and its surrounding areas for meteorological applications.
View Article and Find Full Text PDFRetrieval Integrity Verification and Multi-System Data Interoperability Mechanism of a Blockchain Oracle for Smart Healthcare with Internet of Things (IoT) Integration.
Sensors (Basel)
November 2024
ZHONGNENG Integrated Smart Energy Technology Co., Ltd., Beijing 100013, China.
The proliferation of Internet of Things (IoT) technology has significantly enhanced smart healthcare systems, enabling the collection and processing of vast healthcare datasets such as electronic medical records (EMRs) and remote health monitoring (RHM) data. However, this rapid expansion has also introduced critical challenges related to data security, privacy, and system reliability. To address these challenges, we propose a retrieval integrity verification and multi-system data interoperability mechanism for a Blockchain Oracle in smart healthcare with IoT Integration (RIVMD-BO).
View Article and Find Full Text PDFMulti-Feature Fusion for Estimating Above-Ground Biomass of Potato by UAV Remote Sensing.
Plants (Basel)
November 2024
State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Timely and accurate monitoring of above-ground biomass (AGB) is of great significance for indicating crop growth status, predicting yield, and assessing carbon dynamics. Compared with the traditional time-consuming and laborious method through destructive sampling, UAV remote sensing provides a timely and efficient strategy for estimating biomass. However, the universality of remote sensing retrieval models with multi-feature fusion under different management practices and cultivars are unknown.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!