An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT.

Social Edge Service (SES) is an emerging mechanism in the Social Internet of Things (SIoT) orchestration for effective user-centric reliable communication and computation. The services are affected by active and/or passive attacks such as replay attacks, message tampering because of sharing the same spectrum, as well as inadequate trust measurement methods among intelligent devices (roadside units, mobile edge devices, servers) during computing and content-sharing. These issues lead to computation and communication overhead of servers and computation nodes. To address this issue, we propose the HybridgrAph-Deep-learning (HAD) approach in two stages for secure communication and computation. First, the Adaptive Trust Weight (ATW) model with relation-based feedback fusion analysis to estimate the fitness-priority of every node based on directed graph theory to detect malicious nodes and reduce computation and communication overhead. Second, a Quotient User-centric Coeval-Learning (QUCL) mechanism to formulate secure channel selection, and Nash equilibrium method for optimizing the communication to share data over edge devices. The simulation results confirm that our proposed approach has achieved effective communication and computation performance, and enhanced Social Edge Services (SES) reliability than state-of-the-art approaches

ASXC2 approach: a service-X cost optimization strategy based on edge orchestration for IIoT.

Most computation-intensive industry applications and servers encounter service-reliability challenges due to the limited resource capability of the edge. Achieving quality data fusion and accurate service reliability with optimized service-x execution cost is challenging. While existing systems have taken into account factors such as device service execution, residual resource ratio, and channel condition; the service execution time, cost, and utility ratios of requested services from devices and servers also have a significant impact on service execution cost. To enhance service quality and reliability, we design a 2-step adaptive service-X cost consolidation (ASXC 2) approach. This approach is based on the node-centric Lyapunov method and distributed Markov mechanism, aiming to optimize the service execution error rate during offloading. The node-centric Lyapunov method incorporates cost and utility functions and node-centric features to estimate the service cost before offloading. Additionally, the Markov mechanism-inspired service latency prediction model design assists in mitigating the ratio of offload-service execution errors by establishing a mobility-correlation matrix between devices and servers. In addition, the non-linear programming multi-tenancy heuristic method design help to predict the service preferences for improving the resource utilisation ratio. The simulations show the effectiveness of our approach. The model performance is enhanced with 0.13% service offloading efficiency, 0.82% rate of service completion when transmitting data size is 400 kb, and 0.058% average service offloading efficiency with 40 CPU Megacycles when the vehicle moves 60 Km/h speed around the server communication range. Our model simulations indicate that our approach is highly effective and suitable for lightweight, complex environments

Comparisons of physique, body composition, and somatotype by weight division between male and female collegiate taekwondo athletes

The aim of the study was to compare the physique, body composition and somatotype between male and female collegiate taekwondo athletes and specially focus on differences by weight division. 60 collegiate taekwondo athletes (male: 29, female: 31) voluntarily participated in the study. They were divided into four Olympic weight divisions (male for -58 kg, -68 kg, -80 kg, +80 kg, female for -49 kg, -57 kg, -67 kg, +67 kg). Anthropometric measurements included body weight, height, sitting height, body circumferences (relaxed arm, flexed arm, chest, waist, hip, thigh, and calf), bone widths (humerus and femur), and skinfold thicknesses (triceps, subscapular, suprailiac, thigh, and calf) were measured. The three somatotype components were assessed by Heath-Carter anthropometric method (Carter & Heath, 1990). Independent t-test and one-way ANOVA were applied to analyze difference of dependent variables. Significant level was set at .05. Male athletes were taller and heavier than female athletes. However, sum of skinfold thickness was significantly higher in female athletes than male athletes. The three somatotype components for male athletes were 3.4-3.5-3.1 and characterized with balanced mesomorphy. On the other hand, the somatotype of female athletes were 6.1-3.4-2.6 and characterized with mesomorphic endomorph. In male athletes -80 kg and +80 kg weight divisions were higher mesomorphy, but lower ectomorphy than -58 kg and -68 kg weight divisions. In female, -57 kg, -67 kg and +67 kg weight divisions were higher endomorphy and mesomorphy, but lower ectomorphy than -49 kg weight divisions. In conclusion, male athletes had higher anthropometric characteristics than female athletes except for the skinfold thickness. Female athletes had higher endomorphy, whereas male athletes had higher ectomorphy. Physique and somatotype were different between weight divisions both male and female athletes. This study provides a reference data of morphological characteristics of collegiate elite taekwondo athletes

On the Orthogonal Stability of the Pexiderized Quadratic Equation

The Hyers--Ulam stability of the conditional quadratic functional equation of Pexider type f(x+y)+f(x-y)=2g(x)+2h(y), x\perp y is established where \perp is a symmetric orthogonality in the sense of Ratz and f is odd.Comment: 10 pages, Latex; Changed conten

A quantum-inspired sensor consolidation measurement approach for cyber-physical systems.

Cyber-Physical System (CPS) devices interconnect to grab data over a common platform from industrial applications. Maintaining immense data and making instant decision analysis by selecting a feasible node to meet latency constraints is challenging. To address this issue, we design a quantum-inspired online node consolidation (QONC) algorithm based on a time-sensitive measurement reinforcement system for making decisions to evaluate the feasible node, ensuring reliable service and deploying the node at the appropriate position for accurate data computation and communication. We design the Angular-based node position analysis method to localize the node through rotation and t-gate to mitigate latency and enhance system performance. We formalize the estimation and selection of the feasible node based on quantum formalization node parameters (node contiguity, node optimal knack rate, node heterogeneity, probability of fusion variance error ratio). We design a fitness function to assess the probability of node fitness before selection. The simulation results convince us that our approach achieves an effective measurement rate of performance index by reducing the average error ratio from 0.17-0.22, increasing the average coverage ratio from 29% to 42%, and the qualitative execution frequency of services. Moreover, the proposed model achieves a 74.3% offloading reduction accuracy and a 70.2% service reliability rate compared to state-of-the-art approaches. Our system is scalable and efficient under numerous simulation frameworks

3D harmonic loss: towards task-consistent and time-friendly 3D object detection on edge for V2X orchestration.

The use of edge computing for 3D perception has garnered interest in intelligent transportation systems (ITS) due to its potential to enhance Vehicle-to-Everything (V2X) orchestration through real-time traffic monitoring. The ability to accurately measure depth information in the environment using LiDAR has led to a growing emphasis on 3D detection based on this technology, which has significantly advanced the field of 3D perception. However, the computationally-intensive nature of these operations has made it challenging to meet the real-time deployment requirements using existing methods. The object detection task in the pointcloud domain is hindered by a substantial inconsistency problem caused by its high sparsity, which remains unaddressed. This paper conducts an in-depth analysis of the issue, which has been brought to light by recent research on detecting inconsistency problems in image specialization. To address this problem, we propose a solution in the form of a 3D harmonic loss function, which aims to alleviate the inconsistent predictions based on pointcloud data. In addition, we showcase the viability of optimizing 3D harmonic loss mathematically. Our simulations employ the KITTI dataset and DAIR-V2X-I dataset, and our proposed approach significantly surpasses the performance of benchmark models. Additionally, we validate the efficiency of our proposed model through its deployment on an edge device (Jetson Xavier TX) in a simulated environment

Human pluripotent stem cell expansion in vertical-wheel bioreactors

Human induced pluripotent stem cells (hiPSC) have been regarded as an enormous breakthrough for medicine, since they can be derived from patients and be used to generate virtually all types of cells in the human body. One of the great bottlenecks in the usage of these cells for regenerative medicine or drug discovery applications is their expansion to relevant quantities. The Vertical-Wheel Bioreactors (PBS Biotech) present a novel scalable bioreactor configuration, whose agitation mechanism allows for homogeneous mixing conditions inside the single-use vessel, while conveying less shear stress to the cells when compared to traditional alternatives. These characteristics are advantageous for hiPSC expansion and thus, in this work, hiPSC were expanded in the Vertical-Wheel Bioreactor using different strategies, namely culturing the cells 1) on microcarriers and 2) as floating aggregates. In the first approach, cells were cultured under xeno-free conditions, using the Essential 8 medium together with microcarriers and coatings devoid of any animal-derived products [1]. The culture conditions were optimized in terms of initial cell/microcarrier ratio, inoculation method and agitation rate, in the PBS 0.1 vessel (working volume: 80 mL). The cells were successfully expanded, maintaining a normal karyotype, up to a 6.7-fold increase in cell number, after 6 days. These optimized culture conditions were successfully repeated in a larger vessel, the PBS 0.5 (300 mL working volume) demonstrating the scalability of the Vertical-Wheel system. In the second approach, hiPSC were expanded as floating aggregates, a methodology which does not require a separation step at the end of culture, to remove microcarriers, facilitating the downstream processing and Good Manufacturing Practice-compliance of the process. Cells were cultured in the PBS 0.1 (working volume: 60 mL), using mTeSR1, a serum-free medium and were monitored throughout culture regarding growth kinetics, aggregate size distribution and expression of pluripotency markers. The Vertical-Wheel Bioreactors were shown to efficiently keep the cell aggregates in suspension, under lower linear agitation speeds than an equivalent volume spinner flask (7 cm/s vs. 13 cm/s). Following 7 days of culture, cells were expanded up to a 5.2 ± 0.6-fold increase in cell number. The hiPSC aggregates increased in size over time, from an average diameter of 135 ± 61 µm to 397 ± 119 µm after 7 days. Pluripotency was maintained throughout time, as assessed by sustained high (\u3e 80%) expression of pluripotency markers OCT4, SOX2 and TRA-1-60, and low (\u3c 10%) expression of early differentiation marker SSEA-1. The results were validated using a second hiPSC line. This study revealed that the Vertical-Wheel Bioreactor allows hiPSC growth either on microcarriers and as aggregates and suggested it to have advantages versus other configurations. These results make the Vertical-Wheel Bioreactor a promising platform for hiPSC expansion and, prospectively, differentiation approaches, contributing for the generation of bona fide cells for various biomedical applications, namely drug screening, disease modelling, and, ultimately, for Regenerative Medicine. [1] Rodrigues CAV, Silva TP, Nogueira DES, Fernandes TG, Hashimura Y, Wesselschmidt R, Diogo MM, Lee B, Cabral JMS (2018), “Scalable Culture Of Human Induced Pluripotent Cells On Microcarriers Under Xeno‐Free Conditions Using Single‐Use Vertical‐Wheel™ Bioreactors”, Journal of Chemical Technology and Biotechnology, DOI: 10.1002/jctb.573

Molecular epidemiology and genetic diversity of human astrovirus in South Korea from 2002 to 2007

AbstractThe present study was conducted to survey the prevalence and genotypic distribution of human astrovirus (HAstV) circulating in South Korea. Of 160,027 patients with acute gastroenteritis, 2,057 (1.3%) were positive for HAstV antigen. We determined the genotypes of 187 HAstV strains collected from laboratories across the country. Genetic analysis revealed genotype 1 to be the most prevalent, accounting for 72.19% of the strains, followed by genotypes 8 (9.63%), 6 (6.95%), 4 (6.42%), 2 (3.21%) and 3 (1.60%). Our findings indicate that HAstV is less common but, even so, a potentially important viral agent of gastroenteritis in South Korea, with significant genetic diversity among circulating HAstV strains

Scalable generation of cerebellar neurons from pluripotent stem cells

Human induced pluripotent stem cells (iPSCs) have great potential for disease modeling and provide a valuable source for regenerative approaches. However, generating iPSC-derived models to study brain diseases remains a challenge. In particular, our ability to differentiate cerebellar neurons from pluripotent stem cells is still limited. Recently, we described the long-term culture of cerebellar neuroepithelium formed from human iPSCs, recapitulating the early developmental events of the cerebellum. Additionally, an efficient maturation of replated cerebellar progenitors into distinct types of functional cerebellar neurons was also achieved under defined and feeder-free conditions. However, developing a scalable protocol that allows to produce large numbers of organoids and high yields of mature neurons in a 3D bioreactor culture systems is still a difficult challenge. In this work, we present a new approach for the reproducible and scalable generation of mid-hindbrain organoids under chemically defined conditions by using the novel PBS 0.1 (100 mL) Vertical-Wheel single-use bioreactor. In this system, an efficient cell aggregation with shape and size-controlled aggregates can be obtained, which is important for homogeneous and efficient differentiation. Moreover, a larger amount of iPSC-derived aggregates can be generated without being excessively labour-intensive, achieving 431 ± 53.6 aggregates/mL at 24 hours after seeding. After differentiation, distinct types of cerebellar neurons were generated, including Purkinje cells (Calbindin+), Granule cells (BARHL1+ and Pax6+), Golgi cells (Neurogranin+ and GAD65+), Deep cerebellar nuclei projection neurons (TBR1+) and Non-Golgi-type interneurons (Parvalbumin+ and Calbindin-). These cells show signs of efficient maturation, staining positive for MAP2, and are able to change intracellular Ca2+ concentration following KCl stimulation. In this system, human iPSC-derived organoids are able to mature into different mature cerebellar neurons and to survive for up to 3 months, without replating and co-culture with feeder layers

Reversible magnetization of MgB2 single crystals with a two-gap nature

We present reversible magnetization measurements on MgB2 single crystals in magnetic fields up to 2.5 T applied parallel to the crystal's c-axis. This magnetization is analyzed in terms of the Hao-Clem model, and various superconducting parameters, such as the critical fields [Hc(0) and Hc2(0)], the characteristic lengths [xi(0) and lambda(0)], and the Ginzburg-Landau parameter, kappa, are derived. The temperature dependence of the magnetic penetration depth, lambda(T), obtained from the Hao-Clem analysis could not be explained by theories assuming a single gap. Our data are well described by using a two-gap model.Comment: 20 pages, 1 table, 4 figures, will be published in Phys. Rev.