Miracle-dz/UniFAR-FTUs huggingface dataset:
A method of transient stability simulation of unbalanced power system

This paper presents a new simulation method to analyze the transient stability of a power system including three phase unbalanced impedances. The method is based on the phase coordinate method, because it is easy to analyze the power system which has elements of unbalanced three phase impedances by the phase coordinate method. This paper consists of two main parts: unbalanced power flow calculation to determine the initial conditions, and the transient stability simulation of power system following faults.
Excitation of Surface Plasmon Polariton Modes with Double-Layer Gratings of Graphene

A long-range surface plasmon polariton (SPP) waveguide, composed of double-layer graphene, can be pivotal in transferring and handling mid-infrared electromagnetic waves. However, one of the key challenges for this type of waveguide is how to excite the SPP modes through an incident light beam. In this study, our proposed design of a novel grating, consisting of a graphene-based cylindrical long-range SPP waveguide array, successfully addresses this issue using finite-difference time-domain simulations. The results show that two types of symmetric coupling modes (SCMs) are excited through a normal incident light. The transmission characteristics of the two SCMs can be manipulated by changing the interaction of the double-layer gratings of graphene as well as by varying various parameters of the device. Similarly, four SCMs can be excited and controlled by an oblique incident light because this light source is equivalent to two orthogonal beams of light. Furthermore, this grating can be utilized in the fabrication of mid-infrared optical devices, such as filters and refractive index sensors. This grating, with double-layer graphene arrays, has the potential to excite and manipulate the mid-infrared electromagnetic waves in future photonic integrated circuits.
Analytical analysis of PT ferroresonance in the transient-state

Potential transformer (PT) ferroresonance might happen due to a capacitance when a circuit breaker is opened. In this case, the iron core repeats saturation and unsaturation. This paper describes an analytical analysis of PT ferroresonance in the transient-state. In this paper, the iron core is modelled by simplified two-segment core model to analyze ferroresonance analytically. Thus, a nonlinear ordinary differential equation (ODE) for the flux linkage is changed into a linear ODE with constant coefficients, which enables an analytical analysis. In this simplified model, each state, which is either saturated or unsaturated state, corresponds to one of the three modes, i.e. overdamping, critical damping and underdamping. The flux linkage and the voltage in each state are obtained analytically by solving the linear ODE with constant coefficients. The proposed transient analysis seems simple but effective in the more understanding of ferroresonance and thus can be used to design a ferroresonance suppression circuit of a PT. (5 pages)
Principle and Unified Design of Circularly Polarized Quadruple Inverted-F Antenna With Miniaturized Size and Enhanced Front-to-Back Ratio

The fundamental working principle of front-to-back ratio (FTBR) enhancement of the quadruple inverted-F antenna (QIFA) is clearly revealed for the first time, and a unified design method is then proposed in this article. The characteristic mode analysis (CMA) demonstrates that the QIFA actually operates in two orthogonal modes, and analytical derivation validates that each mode acts as a pair of parallel magnetoelectric (ME) short dipoles for radiation. More specifically, the FTBR of the antenna is determined by the amplitude ratio and phase difference of the two pairs of equivalent ME dipoles. The equivalent model and analytical method can greatly facilitate the design. First, by leading or lagging phase of either characteristic mode through excitation, the beam direction can be flexibly prescribed as forward and backward. Second, the bending direction and bending degree of radiators, respectively, determine the phase and amplitude of its equivalent magnetic dipole, by which the FTBR can be improved. A practical design is carried out with the proposed method, and the antenna achieves an electrically small size of $0.068\lambda _{0} \times 0.068\lambda _{0} \times 0.052\lambda _{0}$ and an FTBR of 12.3 dB.
Efficiency Comparison of New Adjusted Nonparametric and Parametric Statistics Interval Estimation Methods in the Simple Linear Regression Model

In this research, the authors were interested in an efficiency comparison study of new adjusted nonparametric and parametric statistics interval estimation methods in the simple linear regression model. The independent variable and the error came from normal, scale-contaminated normal, and gamma distributions. Six point estimations were performed, for example, least squares, Bayesian, Jack knife, Theil, optimum-type Theil, and new adjusted Theil–Sen and Siegel methods in the simple linear regression model with 1,000 iterations. The criteria used to consider in this study were the coefficient of the confidence interval and the average width of the confidence interval used to compare and determine the optimal effectiveness for six interval estimations of the simple linear regression model. In the interval estimation for normal and scale-contaminated normal distributions of β 0 , the least squares method had the narrowest average width of confidence interval. For the interval estimation of β 1 , the Bayesian method had the narrowest average width of confidence interval in a small variance of 1, followed by the same of optimum-type Theil and new adjusted Theil–Sen and Siegel methods, and Theil method, respectively. In the interval estimation for gamma distribution of β 1 , the Bayesian method had the narrowest average width of confidence interval, followed by optimum-type Theil, new adjusted Theil–Sen and Siegel, and Theil methods, respectively. The optimum-type Theil method was good for medium sample size, while Theil and new adjusted Theil–Sen and Siegel methods were good for small and large sample sizes. Therefore, new adjusted Theil–Sen and Siegel method can be used in many situations and can be used in place of optimum-type Theil and Theil methods for nonparametric statistics interval estimation.
The Assessment of Endovascular Therapies in Ischemic Stroke: Management, Problems and Future Approaches

Ischemic stroke accounts for over 80% of all strokes and is one of the leading causes of mortality and permanent disability worldwide. Intravenous administration of recombinant tissue plasminogen activator (rt-PA) is an approved treatment strategy for acute ischemic stroke of large arteries within 4.5 h of onset, and mechanical thrombectomy can be used for large arteries occlusion up to 24 h after onset. Improving diagnostic work up for acute treatment, reducing onset-to-needle time and urgent radiological access angiographic CT images (angioCT) and Magnetic Resonance Imaging (MRI) are real problems for many healthcare systems, which limits the number of patients with good prognosis in real world compared to the results of randomized controlled trials. The applied endovascular procedures demonstrated high efficacy, but some cellular mechanisms, following reperfusion, are still unknown. Changes in the morphology and function of mitochondria associated with reperfusion and ischemia-reperfusion neuronal death are still understudied research fields. Moreover, future research is needed to elucidate the relationship between continuously refined imaging techniques and the variable structure or physical properties of the clot along with vascular permeability and the pleiotropism of ischemic reperfusion lesions in the penumbra, in order to define targeted preventive procedures promoting long-term health benefits.
Adaptive Beam-forming for Radio Astronomy On GPU

The LOFAR radio telescope consists of tens of thousands of dipole antennas that combine their signals to operate as a single large radio telescope. The truly innovative aspect of this new telescope is that its pointing system is not mechanical. It is steered by combining the electric signals from different elements using advanced beam-forming software. Imaging software is one of the important aspects of processing the high-volume data streams produced by LOFAR, and is one of the best places to use GPUs to achieve processing speed. We were able to achieve up to 30 times performance gain compared to the CPU implementation in novel, computationally intensive techniques such as the Minimum Variance Distortionless Response (MVDR). We have gained 5-6 times speed-up compared to the CPU implementation for standard imaging algorithms. 1. Theory
Improving coronary artery imaging in single source CT with cardiac motion correction using attention and spatial transformer based neural networks

Motion artifact is a major challenge in cardiac CT which hampers accurate delineation of key anatomic (e.g. coronary lumen) and pathological features (e.g. stenosis). Conventional motion correction techniques are limited on patients with high / irregular heart rate, due to simplified modeling of CT systems and cardiac motion. Emerging deep learning based cardiac motion correction techniques have demonstrated the potential of further quality improvement. Yet, many methods require CT projection data or advanced motion simulation tools that are not readily available. We aim to develop an image-domain motion-correction method, using convolutional neural network (CNN) integrated with customized attention and spatial transformer techniques. Forty cardiac CT exams acquired from a clinical dual-source CT system were retrospectively collected to generate training (n=26) and testing (n=14) sets. Dual-source data uniquely allow image reconstruction with different temporal resolutions from the same patient scan. Slow temporal resolution (140ms; equivalent to single-source CT (SSCT) half scan) and fast temporal resolution (75ms; dual source) images were reconstructed to generate paired samples of motion-corrupted and reference images. The combinations of 2 training inference strategies and 3 CNNs were evaluated: strategy #1 – whole-heart images in training / inference; strategy #2 – vessel patches in training / inference; CNN #1 – attention only; CNN #2 – spatial-transformer (STN) only; CNN #3 – attention and STN synergy. Testing data showed that CNN #3 with strategy #2 provided relatively better performance: improving vessel delineation, increasing structural similarity index from 0.85 to 0.91, and reducing mean CT number error of lumen by 71.0%. Our method could improve the image quality in cardiac exams with SSCT.
BJET Special Issue on Best Practice or Situated Action: The Organization of Technology Enhanced Learning

Tools exist at the human scale, being things which can be wielded by a single person in pursuit of a goal. At this scale exist physical objects like hammers, and virtual objects like computer programs. Human-scale tools also include informational and knowledge resources, prior experience, and individual skills. However, tools also exist at the organisational scale. Like hammers and computer programs, organisations are resources on which we can draw to act within the world, though their power is orders of magnitude greater. Organisations permit activity to take place which goes far beyond the capabilities of individuals. They are thoroughly embedded into our many environments. Manifestly, they are among the tools on which society draws in order to educate; similarly, they are deeply involved in the production process of all technologies, including educational technology. They are therefore a constitutive part of the field with which BJET is concerned. Hence this special issue. This editorial serves as an introduction to the ways the common modes of organisation within higher education institutions (HEIs) impact upon the development of e-learning. Space precludes a comprehensive discussion of the field; we concentrate here on those elements which move us towards a discussion of how cross-boundary relationships can be facilitated in HEIs, this being the subject matter of our featured papers. We briefly discuss:
Lyapunov-based switched systems control

of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy LYAPUNOV-BASED SWITCHED SYSTEMS CONTROL By Teng-Hu Cheng August 2015 Chair: Warren E. Dixon Major: Mechanical Engineering Switched systems theory consists of tools developed for systems containing a combination of continuous and discrete dynamics. The focus in this dissertation is the further development and application of switched systems methods for uncertain nonlinear networked systems. Specifically, control methods are developed in this dissertation when the discontinuities are due to the dynamics or network connections. In Chapter 2, the discontinuities are due to the dynamics of the system. Specifically, an output feedback (OFB), time-dependent, switched controller is developed for an Euler-Lagrange system with parametric uncertainty and exogenous disturbances. This controller is motivated by the fact that Euler-Lagrange (EL) dynamics model many practical systems with nonlinear dynamics and hybrid behaviors (e.g., a bouncing ball, humanoid robot during walking). In this chapter, a time-dependent switching signal is designed using an average dwell-time scheme based on a multiple Lyapunov functions (MLFs) approach where the switched system achieves semi-global uniformly ultimately bounded (UUB) tracking with arbitrary switching sequences. In Chapter 3 and 4, the discontinuities in the system are due to the fact that sensing occurs within a network. In Chapter 3, a decentralized switched controller is developed to enable dynamic agents to perform global formation configuration convergence while maintaining network connectivity and avoiding collision within agents and between stationary obstacles using only local feedback under limited and intermittent sensing. In
Readiness parenting: practices of care by parents of children with chronic kidney disease in Portugal

Parents of a child with chronic kidney disease (CKD) must safely perform advanced care and treatment while at the same time allowing the child some freedom and maintaining everyday parenting and family tasks. Drawing on interviews with primary caregivers of children with CKD in Portugal, we examine the context of raising a child with CKD and how the parents practise their parenthood. The study takes inspiration from parenting studies and child studies and explores how good parenthood is constructed. Based on thematic analysis, three core themes emerged: protecting the child, involving the child in their treatment, and transferring responsibility. The transformation of life-limiting circumstances into a life that worked well for both parents and their child represents what we call ‘readiness parenting’. Assessing risks, supporting the child’s autonomy, and relating to social norms required constant vigilance and readjustments as well as negotiations about parental responsibility.
Optimization of series resistance in sub-0.2 /spl mu/m SOI MOSFETs

The optimization of device series resistance in ultra-thin film SOI devices is studied through 2-D simulations and process experiments. To achieve low series resistance, very thin silicides that do not fully consume the SOI film are needed. A novel cobalt salicidation technology using titanium/cobalt laminates is used to demonstrate sub-0.2 /spl mu/m, thin-film SOI devices with excellent performance and very low device series resistance. <<ETX>>
Presentation of potential genes and deleterious variants associated with non-syndromic hearing loss: a computational approach

Non-syndromic hearing loss (NSHL) is a common hereditary disorder. Both clinical and genetic heterogeneity has created many obstacles to understanding the causes of NSHL. The present study has attempted to ravel the genetic aetiology in NSHL progression and to screen out potential target genes using computational approaches. The reported NSHL target genes (2009‒2020) have been studied by analyzing different biochemical and signaling pathways, interpretation of their functional association network, and discovery of important regulatory interactions with three previously established miRNAs in the human inner ear as well as in NSHL such as miR-183, miR-182, and miR-96. This study has identified SMAD4 and SNAI2 as the most putative target genes of NSHL. But pathogenic and deleterious non-synonymous single nucleotide polymorphisms discovered within SMAD4 is anticipated to have an impact on NSHL progression. Additionally, the identified deleterious variants in the functional domains of SMAD4 added a supportive clue for further study. Thus, the identified deleterious variant i.e., rs377767367 (G491V) in SMAD4 needs further clinical validation. The present outcomes would provide insights into the genetics of NSHL progression.
Seclius with Markov Chain Monte Carlo Information Flow-Based Security Metric for Intrusion Detection System

Energy delivery system infrastructure in IT systems is critical to monitor because of the Intrusion Detection Systems (IDSes) which often produce thousands of alerts daily that must be dealt with by administrators manually. To overcome the limitations, information flow-based system security metric called Seclius with Markov Chain Monte Carlo (MCMC) method is introduced. The proposed work gives security measure for a given user as the probability value determined from the Markov Chain Monte Carlo (MCMC). The Consequence tree (CT's) root value is measured by evaluating real time Intrusion Detection System (IDS) alerts to detect system and network assets' security which are affected by attackers. Because of this reason our proposed work is different from existing methods. Two components are used in this online evaluation that are: 1) a dependency graph, and 2) a consequence tree. These two components are designed to identify the information in each IDS alert to assess the security state of the different assets in the organization. The performance and accuracy of Seclius-MCMC are evaluated and Seclius in a testbed environment are implemented to reproduce a process control environment, and a realistic multistep attack scenario.
Proximate, Physicochemical, Techno-Functional and Antioxidant Properties of Three Edible Insect (Gonimbrasia belina, Hermetia illucens and Macrotermes subhylanus) Flours

In this study, edible insect flours from Gonimbrasia belina (Mashonzha), Hermetia illucens (black soldier fly larvae) and Macrotermes subhylanus (Madzhulu) were prepared and assessed in terms of proximal, physicochemical, techno-functional and antioxidant properties. The crude protein of the edible insect flours varied between 34.90–52.74%. The crude fat of the insect flours differed significantly (p < 0.05), with H. illucens (27.93%) having the highest crude fat. G. belina was lighter (L*) and yellower (+b*) compared to H. illucens and M. subhylanus, and there was no significant difference (p > 0.05) in the redness (+a*) of the edible insect flours. There were no significant differences (p > 0.05) in foam capacity and foam stability of all three edible insect flours. Moreover, the antioxidant activity against the DPPH radical was low for H. illucens (3.63%), with M. subhylanus (55.37%) exhibiting the highest DPPH radical. Principal component analysis (PCA) was applied to the techno-functional properties and antioxidant indices of the edible insect flours. PC1 accounted for 51.39% of the total variability, while component 2 accounted for 24.71%. In terms of PC1, the FS, OBC and FC were responsible for the major differences in the edible insect flours. The findings revealed that edible insect flours are a good source of antioxidants and can be used as an alternative protein source and a potential novel food additive due to their techno-functional qualities.
Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis

Head and neck cancer is the sixth most common form of cancer in the world population. A commonly used treatment is radiotherapy, which requires physicians to first segment organs at risk (OARs) and tumors in computed tomography images, which is a laborious and time-consuming process. Therefore, a lot of research is being done to develop automatic methods for OAR segmentation. In this paper, we present the results of parotid gland segmentation with nnU-Net using data from two public datasets (Head-Neck-Radiomics-HN1 and PDDCA) and one private dataset acquired at the local hospital. To simulate a possible model deployment scenario, the first model was trained only on publicly available datasets and evaluated on the private dataset, and then compared to the second model that was trained on the same data with additional 10 images from the private dataset. We enrich the interpretation of the results with the comparison among different datasets and among delineations generated with a deep learning model against the delineations of a junior and senior expert that are available for our private dataset. Significant differences were observed among model performance on different datasets, but not among different observers. The performance of nnU-Net on the PDDCA dataset is on par with the state-of-the-art results reported in the literature. Also, the method performed very well compared to the inter-observer variability calculated on our private dataset.
A development of causal relationship model of the Google sites usage for learning at Rangsit University

The study aimed to develop and to mix the models between Technology Acceptance Model (TAM) and Social Media Acceptance Model (SMAM). The findings indicated that while many papers discussed the application of Social Media in a higher education, there was none on the causal relationship of the Google Sites usage for learning in Thailand. The model consisted of six latent variables: ‘Performance’, ‘Effort’, ‘Self’, ‘Communication function’, ‘Intention’, and ‘Google Sites usage’. The survey sample consisted of 450 Rangsit University’s students. Structural Equation Modeling (SEM) was used to analyze the causal relationship model. Moreover, packed statistic was employed as the descriptive statistics used. The results indicated that the adjusted model was consistent with the empirical data. Goodness-of-Fit indicators included a Chi-square value of 545.99 with 232 degrees of freedom; CMIN/DF = 2.35; SRMR = 0.04; GFI = 0.90; AGFI = 0.90; CFI = 0.96, and RMSEA = 0.06. In summary, Google Sites usage were positively correlated and influenced to Intention to use Google Sites for learning at Rangsit University.