Results 51 to 60 of about 749,250 (317)

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Implementation of Ground-Based Lightning Locating System Using Particle Swarm Optimization Algorithm for Lightning Mapping and Monitoring

open access: yesRemote Sensing, 2023
Cloud-to-ground (CG) lightning is a natural phenomenon that poses significant threats to human safety, infrastructure, and equipment. The destructive impacts of lightning strikes on humans and their property have been a longstanding concern for both ...
Kamyar Mehranzamir   +5 more
doaj   +1 more source

Time-of-arrival lightning activity location system [PDF]

open access: yes, 1975
System fixes location of charge buildup in clouds.
Lennon, C. L.
core   +1 more source

LMA observation of upward flashes at Säntis Tower: preliminary result [PDF]

open access: yes, 2018
Lightning striking tall towers is mainly of the upward lightning type, which is characterized by the absence of a first return stroke and the presence of an initial continuous current (ICC) with or without superimposed pulses.
Azadifar, M.   +7 more
core   +1 more source

Alkyltriphenylphosphonium Binding to Cardiolipin Triggers Oncosis in Cancer Cells

open access: yesAdvanced Science, EarlyView.
Alkyltriphenylphosphonium, exemplified by TPP+‐C14, preferentially accumulates in mitochondria and selectively binds to cardiolipin, a key phospholipid of the inner mitochondrial membrane, causing loss of mitochondrial membrane potential, severe cellular ATP depletion, and calcium imbalance.
Jin Li   +8 more
wiley   +1 more source

Analysis of existing effectiveness and method to enhance the lightning, shielding and earthing protection schemes applied on the Parit Raja’s Telecommunication Tower System [PDF]

open access: yes, 2013
Lightning, one of nature’s most destructive forces, continues to wreck havoc on lives and property especially in today’s electronic environment. It has been shown by field experiences that telecommunication towers are one of the preferential points
Mohd Kasim, Ct Valkyis
core  

Fibrates Inhibit PLTP‐induced M2 Macrophage Infiltration and Increase the Sensitivity of Hepatocellular Carcinoma to ICIs

open access: yesAdvanced Science, EarlyView.
Phospholipid transfer protein(PLTP) plays a critical role in forming a complex with kinase A (AURKA) and P65. This interaction facilitates phosphorylation of P65 at Ser536, leading to the activation of the NF‐κB signaling pathway. Ultimately, this leads to the upregulation of downstream cytokines, including IL‐6, IL‐8, and CSF‐1, which promotes M2 ...
Xinyue Liang   +14 more
wiley   +1 more source

Application of BeiDou RNSS timing technology in smart grid lightning locating system

open access: yesDianxin kexue, 2019
The smart grid lightning location system is an important power service,and its lightning location accuracy largely depends on the accuracy of time synchronization.Three kinds of BeiDou timing methods were studied and compared,and the RNSS timing method ...
Hao ZHANG   +3 more
doaj   +2 more sources

Application of the 2σ Lightning Jump Algorithm Based on DBSCAN Cluster

open access: yes应用气象学报, 2023
A DBSCAN (density-based spatial clustering of applications with noise) cluster of lightning data is proposed as the substitute for radar products to solve the problem of beam blockage in radar observation and the delay of radar products in service ...
Tian Ye   +8 more
doaj   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

open access: yesAdvanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang   +5 more
wiley   +1 more source

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