Hypovitaminosis D and secondary hyperparathyroidism are highly prevalent in critically ill patients. Low vitamin D status persists during ICU stay and is associated with worse disease severity and fewer hospital-free days.

Increased body weight was not a risk factor for hospital mortality in adult patients who required support with VV ECMO. High body weight should therefore not be regarded as a contraindication to initiation of VV ECMO in adult patients. Data collection and reporting that include patient height in addition to body weight would facilitate future research into the association of obesity with outcome of ECMO patients.

The recent increase in the number of Internet of Things (IoT) devices has led to the generation of a large amount of data. These data are generally processed by cloud servers because of their high scalability and ability to provide resources on demand. However, processing large amounts of data in the cloud is an impractical solution for the strict requirements of IoT services, such as low latency and high bandwidth. Fog computing, which brings computational resources closer to the IoT devices, has emerged as a suitable solution to mitigate these problems. Resource provisioning and application orchestration are two of the key challenges when running IoT applications in a Fog computing environment. In this paper, we present ElasticFog, which runs on top of the Kubernetes platform and enables real-time elastic resource provisioning for containerized applications in Fog computing. Specifically, ElasticFog collects network traffic information in real time and allocates computational resources proportionally to the distribution of network traffic. The experimental results prove that ElasticFog achieves a significant improvement in terms of throughput and network latency compared with the default mechanism in Kubernetes. INDEX TERMS container, Fog computing, Internet of Things (IoT), Kubernetes, resource provisioning.

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Container-based virtualization is becoming a de facto way to build and deploy applications because of its simplicity and convenience. Kubernetes is a well-known open-source project that provides an orchestration platform for containerized applications. An application in Kubernetes can contain multiple replicas to achieve high scalability and availability. Stateless applications have no requirement for persistent storage; however, stateful applications require persistent storage for each replica. Therefore, stateful applications usually require a strong consistency of data among replicas. To achieve this, the application often relies on a leader, which is responsible for maintaining consistency and coordinating tasks among replicas. This leads to a problem that the leader often has heavy loads due to its inherent design. In a Kubernetes cluster, having the leaders of multiple applications concentrated in a specific node may become a bottleneck within the system. In this paper, we propose a leader election algorithm that overcomes the bottleneck problem by evenly distributing the leaders throughout nodes in the cluster. We also conduct experiments to prove the correctness and effectiveness of our leader election algorithm compared with a default algorithm in Kubernetes.

The Song Tranh 2 hydropower reservoir was built in Tra My area, Quang Nam province, composing magmatic and high-grade metamorphic rocks of the northern part of the Kon Tum massif. Since the reservoir was put into operation, induced earthquakes have occurred in the Song Tranh 2 hydropower reservoir and its vicinity. Tectonically, the northwest-southeast to east-west striking faults developed strongly. Detailed analysis of slickensides and attitude of faults occurring in the studied area have shown that the northwest-southeast striking faults are reactivated as dextral ones during the Pliocene-Quaternary up to the present day. Based on the geometric distribution of the fault network, kinematic characteristics, and the youngest tectonic stress regime, we computed the distribution of tectonic stress in the studied area. Computation results show two positive anomalies of stress directly related to the northwest-southeast faults numbered 2, 10, 11a, 11b and sub-latitude striking fault numbered 1. These faults run in line with the local river channels and are likely to reactivate and generate induced earthquakes.

The GIS database of the Holocene sedimentary processes occurred in Balat River Mouth, its evolution and distribution in space and time. The remotely sensed satellite imageries including Landsat TM, Landsat 7 ETM are processed, visually interpreted in combination with GIS data to clarify the Holocene sedimentation, its facies conditions and characteristics. The relationships of Holocene deposits and the interpretation pattern recognition of satellite remotely sensed data are established. The database in GIS environment is created and GIS spatial and attribute data analysis is applied to draw the change of Holocene lithofacies in horizontal/vertical space directions and time in relation to the sedimentary evolution of the coastline. The relation between sedimentary evolution and global sea level change expressed the sedimentary rate and it also describes the process of Land-Ocean interaction in relation with present sea level change. Finally, the paper gives the picture of litho-dynamic characteristics and distribution of lithofacies of Balat river mouth in Holocene. The principal lithofacies are as follows: sandy ridge, mangrove swamp, delta's flood plain, tidal channel and tidal flats.

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