Fifth-generation mobile communication networks (5G)/Beyond 5G (B5G) can achieve higher data rates, more significant connectivity, and lower latency to provide various mobile computing service categories, of which enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable and low latency communications (URLLC) are the three extreme cases. A symmetrically balanced mechanism must be considered in advance to fit the different requirements of such a wide variety of service categories and ensure that the limited resource capacity has been properly allocated. Therefore, a new network service architecture with higher flexibility, dispatchability, and symmetrical adaptivity is demanded. The cloud native architecture that enables service providers to build and run scalable applications/services is highly favored in such a setting, while a symmetrical resource allocation is still preserved. The microservice function in the cloud native architecture can further accelerate the development of various services in a 5G/B5G mobile wireless network. In addition, each microservice part can handle a dedicated service, making overall network management easier. There have been many research and development efforts in the recent literature on topics pertinent to cloud native, such as containerized provisioning, network slicing, and automation. However, there are still some problems and challenges ahead to be addressed. Among them, optimizing resource management for the best performance is fundamentally crucial given the challenge that the resource distribution in the cloud native architecture may need more symmetry. Thus, this paper will survey cloud native mobile computing, focusing on resource management issues of network slicing and containerization.

Tardive dyskinesia (TD) is an involuntary movement disorder induced by long-term antipsychotic treatments. Estrogen is suggested to modulate dopamine receptors in the central nervous system and may decrease the incidence and/or relieve the symptoms of TD. In this study, 118 schizophrenia patients with antipsychotic-induced TD and 128 sex- and age-matched non-TD schizophrenia patients were recruited. All patients were assessed by the Abnormal Involuntary Movement Scale and genotyped for the polymorphisms of estrogen receptor-α gene (ESR 1). There was a marginal association of the genotypes determined by Pvu II between TD and non-TD patients (p = 0.057), but not of the genotypes determined by Xba I (p = 0.896). However, further studies on other polymorphisms of ESR 1 or other estrogen receptors are necessary to clarify the role of estrogen in the pathogenesis of TD.

Human personality traits have a considerable hereditary component, and central serotonergic activity is implicated in the personality factors of the Tridimensional Personality Questionnaire (TPQ). Our population-based association study tested the hypothesis that the tryptophan hydroxylase (TPH) A218C and serotonin 1B receptor (HTR1B) A-161T polymorphisms were associated with TPQ personality trait scores in a sample population of 209 young healthy Chinese. No significant differences were demonstrated comparing scores of subjects bearing different TPH or HTR1B genotypes; however, a trend for difference in the novelty seeking score comparing TPH genotype groups was determined for the male population. Our negative findings suggest that the TPH A218C and HTR1B polymorphisms do not play major roles in the determination of TPQ personality traits.