Results 71 to 80 of about 3,083,050 (398)
Calcium‐sensing receptor‐ and ADAM10‐mediated klotho shedding is regulated by tetraspanin 5
FEBS Letters, Volume 599, Issue 6, Page 866-875, March 2025.The G protein‐coupled calcium‐sensing receptor (CaSR) and the disintegrin/metalloprotease ADAM10 in the renal distal convoluted tubule control systemic levels of Klotho, a cell and tissue homeostasis‐preserving factor. We show that CaSR‐induced cleavage of membrane‐bound αKlotho by ADAM10 requires tetraspanin 5 (Tspan5), a scaffolding and chaperone ...
Zhenan Liu +4 more
wiley +1 more source
An improved belief entropy–based uncertainty management approach for sensor data fusion
International Journal of Distributed Sensor Networks, 2017 In real applications, sensors may work in complicated environments; thus, how to measure the uncertain degree of sensor reports before applying sensor data fusion is a big challenge.
Yongchuan Tang +3 more
doaj +1 more source
Human colon organoid differentiation from induced pluripotent stem cells using an improved method
FEBS Letters, Volume 599, Issue 6, Page 912-924, March 2025.We compared established protocols to differentiate induced pluripotent stem cells into colon organoids and found that activation of bone morphogenetic protein 2 signaling induced gene expression of colon‐specific markers. Adenovirus‐mediated transduction of the transcription factors HOXD13 or SATB2 further enhanced colonic gene expression, suggesting ...
I‐Ting Lee +4 more
wiley +1 more source
Degeneration-Aware Localization with Arbitrary Global-Local Sensor Fusion
Sensors, 2021 Global localization is a fundamental ability for mobile robots. Considering the limitation of single type of sensor, fusing measurements from multiple sensors with complementary properties is a valuable task for study.
Xiaqing Ding +4 more
doaj +1 more source
Context Aware Multisensor Image Fusion for Military Sensor Networks using Multi Agent System
, 2011 This paper proposes a Context Aware Agent based Military Sensor Network (CAMSN) to form an improved infrastructure for multi-sensor image fusion. It considers contexts driven by a node and sink.
Manvi, Sunilkumar S, Sutagundar, Ashok V
core +1 more source
Multi-Sensor Fusion Approach for Cuff-Less Blood Pressure Measurement
IEEE journal of biomedical and health informatics, 2020 Ambulatory blood pressure (BP) provides valuable information for cardiovascular risk assessment. The present cuff-based devices are intrusive for long-term BP monitoring, whereas cuff-less BP measurement methods based on pulse transit time or multi ...
F. Miao +5 more
semanticscholar +1 more source
Sensor Fusion for Intrusion Detection With Sensor Networks
MACRo 2015, 2015 Abstract A sensor fusion algorithm is proposed, which can be used to fuse measurements from a distributed sensor network, containing inexpensive, easily deployable and energy efficient magnetic sensor devices. The sensor measurements are collected and transferred to a central base station, where the sensor fusion is performed, using the ...
Bencze Koszteczky, Gyula Simon
openaire +2 more sources
D2.2 Uncertainty-Aware Sensor Fusion in Sensor Networks
SMSI 2021 - Measurement Science, 2021 Uncertainty assignment for measurement values is a common process for single sensors, but this procedure grows in complexity for sensor networks. Often measured values are processed further in such networks and uncertainty must be evaluated for virtual values.
Gruber, M. +8 more
openaire +3 more sources
FEBS Letters, Volume 599, Issue 7, Page 1055-1074, April 2025.Hermansky‐Pudlak syndrome type 1 (HPS‐1) is a rare, autosomal recessive disorder with poorly understood renal involvement. Urinary extracellular vesicle (uEV) proteomics and a novel Hps1 mouse model reveal mitochondrial abnormalities and lipid accumulation in HPS‐1 kidney proximal tubule cells. Serum ApoA1 correlates with kidney function in our patient
Dawn M. Maynard +7 more
wiley +1 more source
Decision Fusion with Unknown Sensor Detection Probability
, 2013 In this correspondence we study the problem of channel-aware decision fusion when the sensor detection probability is not known at the decision fusion center.
Ciuonzo, Domenico +1 more
core +1 more source