Results 61 to 70 of about 514,814 (311)

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

open access: yesFEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

An incremental lane-level network construction method based on high-precision trajectories

open access: yesInternational Journal of Digital Earth
Lane-level network offers spatial references for autonomous driving, while trajectories remain crucial for their maintenance. However, prevailing methods exhibit limited ability in modeling network dynamics due to the intricate structure of traffic ...
Chuanwei Cai   +5 more
doaj   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

open access: yesFEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa   +5 more
wiley   +1 more source

A Data Cleaning Method for the Identification of Outliers in Fishing Vessel Trajectories Based on a Geocoding Algorithm

open access: yesJournal of Marine Science and Engineering
In modern fishery management, fishing vessel trajectory data are used to monitor and analyze fishing vessel activities. However, trajectory data are often of low quality, probably due to environmental factors, equipment failures, signal loss and ...
Li Zhang, Weifeng Zhou
doaj   +1 more source

Towards a Trajectory Planning Concept: Augmenting Path Planning Methods by Considering Speed Limit Constraints

open access: yes, 2014
Trajectory planning is an essential part of systems controlling autonomous entities such as vehicles or robots. It requires not only finding spatial curves but also that dynamic properties of the vehicles (such as speed limits for certain maneuvers) must
Chrpa, Lukáš   +3 more
core   +1 more source

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

open access: yesFEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

Empirical Studies on Merging Characteristics in Temporary Highway Work Zones with Different Traffic States and Layouts

open access: yesAlgorithms
Vehicles conduct mandatory lane changes to merge into the open lanes in temporary highway work zones, and the merging characteristics have been widely studied over the past decades.
Yanli Jiao   +4 more
doaj   +1 more source

Research on Traffic Congestion Forecast Based on Deep Learning

open access: yesInformation, 2023
In recent years, the rapid economic development of China, the increase of the urban population, the continuous growth of private car ownership, the uneven distribution of traffic flow, and the local congestion of the road network have caused traffic ...
Yangyang Qi, Zesheng Cheng
doaj   +1 more source

Robotic Trajectory Planning Based on CL Data

open access: yes, 2015
It is crucial to plan trajectory in robotic finishing with complex surface in manufacturing industry. While traditional robot programming for grinding is still time consuming and not cost-effective generally.
Zhu, Yingdan   +8 more
core   +1 more source

Attention-based Neural Networks for Multi-modal Trajectory Prediction [PDF]

open access: yes, 2022
Trajectory prediction is of great importance in wireless and intelligent networks. Accurate forecast of users’ trajectories can provide efficient handover management, continuous network connection, and generally better network quality of service.
Emami, Negar, Braun, Torsten
core  

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