The phrase "abnormal trafficking" is correct and usable in written English.
It can be used in contexts related to illegal activities, such as human trafficking or drug trafficking, where the term "abnormal" indicates something unusual or outside the norm.
Example: "The authorities are investigating reports of abnormal trafficking patterns in the region, which may indicate a rise in illegal activities."
Alternatives: "irregular trafficking" or "unusual trafficking".
Notably, cell-surface receptors involved in tumor development are characterized by abnormal trafficking from the cell membrane to intracellular compartments19,20.
Decreased expression of CXCR5 on blood B-cells [7] but increased proportions of CD38-expressing B-cells have been described as a consequence of abnormal trafficking of germinal centre (GC -like B-cells into blood [8].
Increased activation of NF-κB in CFTR-deficient epithelial cells has been thought to partially be a result of abnormal trafficking of mutant CFTR protein CFTRΔF508, where its accumulation in the ER induces intracellular stress resulting in NF-κB activation [45].
This suggests that the mutations caused abnormal trafficking of the channels to the plasma membrane compared to WT.
Astrocytes are extensively coupled via gap junctions, and abnormal trafficking of metabolites and signalling molecules within astrocytic syncytia could alter functional interactions among cells comprising the neurovascular unit.
Similarly, these drugs proved to be efficient in rescuing axon growth defects in SPG3A iPSC (Zhu et al. 2014) which open therapeutic avenues for HSP subtypes related to abnormal trafficking.
Offline network traffic analysis is very important for an in-depth study upon the understanding of network conditions and characteristics, such as user behavior and abnormal traffic.
However, accurate travel time prediction is important for assessing the effects of abnormal traffic conditions and helping travelers make reliable travel decisions under such conditions.
Experimental results showed that our method has only a low delay to detect abnormal traffic of distributed denial-of-service attacks, and with a high percentage of filtering.
Our experimental results show that the DSOM solution can effectively detect abnormal traffic, solve bottleneck problems and increase the system reaction speed to attack traffic, while presenting a smaller overhead to the network system.
In this paper, we study the interaction of Internet traffic flows and network features from a complex network perspective, focusing on six types of applications: P2P file sharing, P2P stream, HTTP, instant messaging, online games and abnormal traffic.
