Miracle-dz/UniFAR-FTUs huggingface dataset:
Turbulence kinetic energy budget and conditional sampling of momentum, scalar, and intermittency fluxes in thermally stratified wind farms

ABSTRACT A description of the turbulence kinetic energy budget is investigated to understand the dynamics and turbulence energy transfer between the atmospheric boundary layer and large wind farms. The turbulence kinetic energy budget terms are a dominant factor in explaining the energy supply process in wind farms. Large eddy simulations are used to generate the thermally stratified wind turbine array boundary layer, where stable and unstable conditions are considered. The wakes represent a sink of mean kinetic energy, and turbulence transport redistributes energy in the wake region. The energy balance between the budget terms is dependent on the physical location in the wind farm. During the unstable scenario, turbulence is driven by the production, transport, and buoyancy terms. Further, the contribution of the turbulence kinetic energy budget terms is reduced with increasing atmospheric stability, especially above the shear layer, where the mechanical production is the dominant term. Pressure diffusion redistributes the turbulent energy from the streamwise direction into the other components of the normal Reynolds stresses. This distinctive feature of the changing thermal stratification is presented through the quadrant analysis. The momentum ejection and sweep frequencies are both comparable and dominant. The scalar flux shows an increase in the contribution of the negative correlation in the quadrants. The quadrant analysis is extended to account for intermittency based on the pointwise Hölder exponents. Positive correlations are dominant in the wake and in higher layers of the domain for both considered cases.
UAV-RIS-Aided Space-Air-Ground Integrated Network: Interference Alignment Design and DoF Analysis

In space-air-ground integrated networks (SAGIN), receivers experience diverse interference from both the satellite and terrestrial transmitters. The heterogeneous structure of SAGIN poses challenges for traditional interference management (IM) schemes to effectively mitigate interference. To address this, a novel UAV-RIS-aided IM scheme is proposed for SAGIN, where different types of channel state information (CSI) including no CSI, instantaneous CSI, and delayed CSI, are considered. According to the types of CSI, interference alignment, beamforming, and space-time precoding are designed at the satellite and terrestrial transmitter side, and meanwhile, the UAV-RIS is introduced for cooperating interference elimination process. Additionally, the degrees of freedom (DoF) obtained by the proposed IM scheme are discussed in depth when the number of antennas on the satellite side is insufficient. Simulation results show that the proposed IM scheme improves the system capacity in different CSI scenarios, and the performance is better than the existing IM benchmarks without UAV-RIS.
Portable tumor biosensing of serum by plasmonic biochips in combination with nanoimprint and microfluidics

Abstract Plasmonic sensing has a great potential in the portable detection of human tumor markers, among which the carcinoembryonic antigen (CEA) is one of the most widely used in clinical medicine. Traditional plasmonic and non-plasmonic methods for CEA biosensing are still not suitable for the fast developing era of Internet of things. In this study, we build up a cost-effective plasmonic immunochip platform for rapid portable detection of CEA by combining soft nanoimprint lithography, microfluidics, antibody functionalization, and mobile fiber spectrometry. The plasmonic gold nanocave array enables stable surface functionality, high sensitivity, and simple reflective measuring configuration in the visible range. The rapid quantitative CEA sensing is implemented by a label-free scheme, and the detection capability for the concentration of less than 5 ng/ml is achieved in clinical experiments, which is much lower than the CEA cancer diagnosis threshold of 20 ng/ml and absolutely sufficient for medical applications. Clinical tests of the chip on detecting human serums demonstrate good agreement with conventional medical examinations and great advantages on simultaneous multichannel detections for high-throughput and multi-marker biosensing. Our platform provides promising opportunities on low-cost and compact medical devices and systems with rapid and sensitive tumor detection for point-of-care diagnosis and mobile healthcare.
Order Matters : Exploring the Structure of the Space of Compilation Sequences Using Randomized Search Algorithms †

Most modern compilers operate by applying a fixed sequence of code optimizations, called a compilation sequence, to all programs. Compiler writers determine a small set of good, general-purpose, compilation sequences by extensive hand-tuning over particular benchmarks. The compilation sequence makes a significant difference in the quality of the generated code; in particular, we know that a single universal compilation sequence does not produce the best results over all programs [1, 2, 5, 6]. Three questions arise in customizing compilation sequences: (1) What is the incremental benefit of using a customized sequence instead of a universal sequence? (2) What is the average computational cost of constructing a customized sequence? (3) When does the benefit exceed the cost? To answer these questions, we must develop a good understanding of how quality of the generated code varies with the choice of compilation sequence over the entire space of sequences for a given program. In particular, we need to know (1) What percentage of the set of possible compilation sequences falls within a specified neighborhood of the true optimum sequence? (2) How are these nearly optimal sequences distributed in the sequence space? Do good sequences cluster in particular regions of the space? Or are they distributed evenly? (3) Is the sequence space riddled with shallow local minima? Can random sampling in the space reliably achieve near-optimal solutions? More importantly, we need to know if there are structural properties shared by compilation sequence spaces for a broad range of pro-
Efficient local smoothed particle hydrodynamics with precomputed patches

ABSTRACT This paper presents an improved method for applying smoothed particle hydrodynamics within a nested Lagrangian domain of fluid particles. In our previous implementation, ghost particles, generated by Poisson-disk sampling to enclose the region occupied by fluid particles, transferred necessary physical quantities from the outer domain to the fluid. Using this technique, the local fluid motion agreed with results simulated by SPH over the entire domain. However, the cost of generating ghost particles was burdensome. We propose herein a much less expensive, patch-based sampling method to generate ghost particles. In this new approach, the ghost particles are generated locally around each fluid particle and corresponding physical quantities are determined using the local ghost particles. Furthermore, we introduce a new formulation that determines the physical quantities of ghost particles from the outer domain, and transfers them to the local fluid particles.
Periodic orbits for the perturbed planar circular restricted 3–body problem

We characterize when the classical first and second kind of periodic orbits of the planar circular restricted \begin{document}$ 3 $\end{document} –body problem obtained by Poincare, can be extended to perturbed planar circular restricted \begin{document}$ 3 $\end{document} –body problems. We put special emphasis when the perturbed forces are due to zonal harmonic or to a solar sail.
Application of a Comprehensive Treatment Planning Test for Credentialing Intensity-Modulated Radiotherapy and RapidArc in a TrueBeam Linear Accelerator Setup

An extended version of task group report (TG)-119 dosimetric tests was introduced and tested on the TrueBeam linear accelerator setup. Treatment plan results and quality assurance (QA) results of RapidArc (RA) and intensity-modulated radiotherapy (IMRT) were compared to understand the limitation and efficacy of the RA and IMRT system of the linear accelerator. Test structure sets were drawn on OCTAVIUS four-dimensional (4D) phantom computed tomography scan data for this study. We generated treatment plans based on the specified goal in the Eclipse™ treatment planning system using RA and IMRT in the study phantom. We used the same planning objectives for RA and IMRT techniques. Planar dose verification was performed using electronic portal imaging device and OCTAVIUS 4D phantom. The treatment log file was further analyzed using Pylinac (V2.4.0 (Open Source Code library available on Github, runs under Python programming language)) to compare the dosimetric outcome of RA and IMRT. Dose to the planning target volume (PTV) 1–5 and organ at risk (OAR) were analyzed in this study for the efficiency comparison of RA and IMRT. The primary objective was accomplished by adhering to the dose constraints associated with PTV 2 and the OAR. RA and IMRT also met the secondary objective. The tertiary goal of dose delivery to PTV 4 was met with RA but not IMRT. This study can be utilized to compare different institutions' planning and patient-specific QA (PSQA) procedures. The findings of this study were in line with the published works of the literature. A multi-institutional planning and delivery accuracy audit can be built using this structure and set of planning objectives having similar PSQA phantom. The TG-119 report incorporated test challenges that were combined in a single study set and a single plan. This reduces the complexity of performing the original TG-119 tests, whereas keeping the challenges as introduced in the TG-119 report. This study's planning and dosimetric results could be further utilized for dosimetry audit with any institute having a linear accelerator and OCTAVIUS 4D phantom for PSQA.
Classification of video lecture learners’ cognitive and negative emotional states using a Bayesian belief network

In general, Intelligent Tutoring Systems (ITS) fail to take account of the emotional and cognitive states of the students who use them. This paper explores the relationship between emotion and cognition when students learn via the medium of video lectures. A cognitive emotional model was constructed to determine the student’s cognitive and emotional state while watching an instructional video. This model was a Bayesian belief network (BBN) model. With the method of ten times 10-fold cross-validation, evaluation results showed that the Bayesian network classifies the emotion state with 60% accuracy and classifies both the emotion and cognitive state with 48.82% accuracy. This model provides an emotional and cognitive states recognition solution for video lecture learners in a non-intrusive way with low cost.
Technical Report WM-CS-2009-06 College of William & Mary Department of Computer Science WM-CS-2009-06 Extending the eigCG algorithm to non-symmetric Lanczos for linear systems with multiple right-hand sides

The technique that was used to build the eigCG algorithm for symmetric linear systems is extended to the non-symmetric case using the BICG and QMR algorithms. We show that, similar to the symmetric case, we can build an algorithm that is capable of computing some eigenvalues of the non-symmetric system using only a window of the BICG residuals and simultaneously solving the linear system. The new algorithm, called eigBICG/QMR, is tested on non-symmetric matrices from the Matrix Market and Lattice QCD using MATLAB. We show that with a moderate memory requirement, eigBICG/QMR is capable of simultaneously solving the linear system and computing few eigenvalues as well as left and right eigenvectors with similar accuracy to the un-restarted bi-Lanczos algorithm. For non-symmetric linear systems with multiple right-hand sides, we give an algorithm, similar to the symmetric case, that solves the systems in two phases. In the first phase, a subset of the right-hand sides are solved using eigBICG/QMR where the accuracy of the computed eigenvectors is improved from one system to the next and new eigenvectors are computed. In the second phase, the computed eigenvectors are used to deflate BICGSTAB and accelerate the solution of the remaining right-hand sides. Deflation using both Left-Right and Galerkin projections are studied. The algorithm for multiple right-hand sides, called Incremental eigBICG/QMR, is shown to speed up BICGSTAB by a factor of 2-3 on the test matrices used. Removal of critical slowing down in lattice QCD applications is discussed and compared to the symmetric case. We also give a version of the algorithm for J-symmetric matrices for which matrix-vector multiplication with A (where A is the Hermitian conjugate of A)is avoided and the storage of left eigenvectors is not needed.
On The Spatial–Temporal Developments Of Turbulent Spots On a Serrated Trailing Edge

Aim of the paper is to investigate the flow in the close vicinity of flat-plate insert-type trailing edge serrations. It is now firmly established that aerofoil subjected to a serrated trailing edge is quiet. Recent advances in the analytical and numerical solutions have established several mechanisms that can help to explain the causes of the lower level of selfnoise radiation by a serrated aerofoil. Some high fidelity experimental works, such as the timeresolved Particle Image Velocimetry (PIV), have been used recently to track the evolution of a fully-developed turbulent boundary layer flow structures over a serrated trailing edge. However, due to the high cost and technical challenging, the time-resolved PIV measurements still have some limitations in the construction of a complete spatial and temporal evolution of these small-scale turbulent structures. The current work seeks to develop a simple technique by artificially generating the turbulent spots – the so called “building block” of the turbulent boundary layer, and to track in the space and time domains a complete evolution of these spots over the serrated trailing edge of an aerofoil using the ensemble-averaging analysis method for the hot-wire data. The test was conducted on a symmetrical NACA0008 aerofoil under zero-lift conditions and at a Reynolds number 11.1111 × 111155. Aero-acoustic measurements at these conditions confirm that significant broadband self-noise reduction can be achieved by a serrated trailing edge. After gathering the relevant boundary layer data, a preliminary examination of the velocity perturbation and turbulence intensity distributions near the straight trailing edge would confirm the classical turbulent spot structure that can typically be found in the literature. However, in the case of a serrated trailing edge, it is observed that each passage of a turbulent spot, especially at its so called ‘calm region’, would draw high momentum flow (i.e. positive velocity perturbation) periodically from the sawtooth gap towards the sawtooth surface. It is believed that this periodic calming and stabilization effect of the boundary layer might represent the general mechanism for the reduction of the selfnoise generated at the trailing edge, although currently more data analysis is still underway to dissect the internal flow details of the turbulent spot at the serrated trailing edge.
Modelling auto insurance claims in Singapore

Claim frequency data in general insurance may not follow the traditional Poisson distribution when there are many zeros. When the number of observed zeros exceeds the number of expected zeros under the Poisson distribution, extra dispersion appears. This paper summarizes several dispersed and zero-inflated count data models, which are used to handle dispersion and excess zeros. We model the insurance claim count data with excess zeros with these models. We use chi-square goodness-of-fit, to test the validity of the assumption of the count data distribution and fit count data regression model with predictors. We compare the fits through AIC and BIC. The generalized Poisson model and Negative binomial model provide a good fit to the data.
brief Assessing the Prognostic Value of Preoperative Carcinoembryonic Antigen-Specific T-Cell Responses in Colorectal Cancer

Current dogma suggests that tumor-reactive IFN- γ –producing (T H 1-type) T-cells are beneficial to patient outcome; however, the clinical consequence of these responses with respect to long-term prognosis in colorectal cancer (CRC) is not understood. Here, we compared the utility of
Evaluation of anti-microbial efficacy among Andrographis Paniculata and Mimusops Elengi on oral microflora: An Experimental in-vitro study

Introduction: Oral health is an essential non-integrated part of general health that plays a vital role in preventing chronic diseases. The oral cavity acts as a suitable environment for the proliferation of bacteria by forming a connecting link to invade the tissues through direct contact from outside. For the past few decades, there has been increased resistance of human pathogenic bacteria to the currently used antibiotics and chemotherapeutics for tooth decay, gingivitis, periodontitis and fungal infection among different age groups. Hence, the search has shifted to traditional plants and natural products, which are a good alternative. To create oral hygiene solutions for the prevention of oral infections, several ayurvedic ingredients, including Andrographis paniculata and Mimusops elengi, have been tested for their effectiveness against dental pathogens. The present investigation's purpose is to determine the minimum inhibitory concentration-based antibacterial efficiency of Andrographis paniculata and Mimusops elengi against Streptococcus mutans, Lactobacillus acidophilus, Actinomyces and Candida albicans. Methodology: Antimicrobial activity of herbal extracts was determined using the agar well diffusion method. Ethanolic extracts were prepared using a cold extraction method whereas Dimethyl sulfoxide and water were used as dissolution solvents. The diluted herbal extract sample was used as the test sample, while the positive control used was an antibiotic solution and the negative control used was dissolution solvents. The samples were implanted, the bacteria along with the culture media were incubated, and the zone of inhibition was measured. Results: The Minimum inhibitory concentration and zones of inhibition of Andrographis Paniculata and Mimusops Elengi showed significant antibacterial efficacy when compared with standards. Conclusion: Andrographis Paniculata and Mimusops Elengi may be used as an efficient addition to conventional care in the management of oral disorders, according to their antimicrobial efficacy.
Accuracy Limits of Polarization-Independent Optical Depolarizers Based on Rotating Waveplates

Optical depolarizers for monochromatic waves which work independent of input polarization can be built from cascaded electrooptic rotating waveplates. If the waveplate retardations deviate from their desired values then the worst-case residual degree-of-polarization DOPmax is larger than its desired value 0. In a depolarizer consisting of one rotating halfwave and one rotating quarterwave plate, DOPmax roughly equals the retardation error, which is <<1. However, with just one rotating quarterwave plate more, DOPmax roughly equals the square of the retardation error which is a much smaller value. Thereby depolarizer accuracy is substantially improved. Waveplate sequence and rotation frequency combinations suitable for fast depolarization are discussed.
A triple-band decoupling method for MIMO antennas without connection

: In recent years, MIMO technology is used in many mobile terminals to increase channel capacity. MIMO uses multiple antennas, however, if MIMO antennas are put closely such as a small terminal, a strong mutual coupling occurred. Then it causes decreasing radiation efficiency and channel capacity. Besides, CA technology which uses multiple frequencies is also utilized. Therefore, reducing the mutual coupling at multiple frequencies is required corresponding to CA. In the previous study, a method of adding a branch element connecting by inductor L and capacitor C has been proposed. In this paper, focusing on the relationship between the number of decoupling frequencies and current paths, we propose a novel triple-band decoupling method without connecting and confirm that the proposed model performed decouplingand increased radiation efficiency.
Influence of acquisition parameters on morphometric values obtained from structural magnetic resonance images

Poster: "ECR 2019 / C-2108 / Influence of acquisition parameters on morphometric values obtained from structural magnetic resonance images" by: "I. Evangelista, C. L. Galimberti, G. Pascariello, J. C. Gomez, A. L. Rodriguez Musso, P. Donnelly-Kehoe; Rosario/AR"
Knowledge and Information Systems REGULAR PAPER

In many application domains, there is a need for learning algorithms that can effectively exploit attribute value taxonomies (AVT)—hierarchical groupings of attribute values—to learn compact, comprehensible and accurate classifiers from data—including data that are partially specified. This paper describes AVTNBL, a natural generalization of the naı̈ve Bayes learner (NBL), for learning classifiers from AVT and data. Our experimental results show that AVT-NBL is able to generate classifiers that are substantially more compact and more accurate than those produced by NBL on a broad range of data sets with different percentages of partially specified values. We also show that AVT-NBL is more efficient in its use of training data: AVT-NBL produces classifiers that outperform those produced by NBL using substantially fewer training examples.
Bearing Remaining Useful Life Estimation Based on Encoder and Gated Recurrent Units

—Bearings are to machinery like joints to humans, which means bearings are an integral part of the machinery. Recently, with the rapid development of sensors and artiﬁcial intelligence, a data-driven machine learning-based model for bearing remaining useful life (RUL) has become a powerful tool in academia and industry. However, there are also some existing problems, for example, the pre-set state-related threshold need to be manually determined, the bearing object being studied is under a single operating condition, RUL estimation in the entire life span in many studies is ignored and only a few samples as observed data to predicted and tested, which are all not conducive to the achievements transformation in actual engineering projects. In this paper, a novel generalized framework based on neural networks is proposed to solve these obstacles. Firstly, convolutional neural networks (CNN) and deep encoder (DE) are respectively used to extract features and reduce dimensions, obtaining dense and low dimensions health indicators (HIs). Secondly, Gated recurrent units (GRUs) are used to investigate time-series information from dense and low dimensional HIs. Thirdly, the proposed method was veriﬁed on two platforms and experimental results show that the proposed method is effective and general, and superior to other baselines.