Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-Profile Broadband Dual-Polarization Double-Layer Metasurface Antenna for 2G/3G/LTE Cellular Base Stations

A double-layer metasurface is proposed to realize the low profile of a broadband dual-polarized antenna for cellular base-station applications. The proposed metasurface is formed by the two layers of printed metallic patch unit cells on either substrate surface to miniaturize the metasurface size and enhance design flexibility by regulating the extent of electromagnetic coupling between the two layers. Despite the low profile of the antenna, a wideband operation is accomplished by operating the metasurface in the nonresonant region that facilitates wideband phase compensation and its truncation to a finite dimension with an additional transverse electric (TE) surface wave resonance. The guidelines for the design of the surface is derived from a comparison of unit cell structures and an approach is introduced to correlate their potential with surface susceptibility parameters. A detailed parametric study addresses the critical concern on the overall dimensions of the finite metasurface. A ±45°-polarized dipole antenna with an overall thickness of <inline-formula> <tex-math notation="LaTeX">$0.15~\lambda _{0}$ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$\lambda _{0}$ </tex-math></inline-formula> is the wavelength in free space at the center operating frequency) is designed as example. The measured results show a <inline-formula> <tex-math notation="LaTeX">$\vert \text{S}_{11}\vert \le -10$ </tex-math></inline-formula> dB impedance bandwidth of 46.4% over the frequency range of 1.69–2.71 GHz with average boresight gain of 9 dBi with a ground plane of <inline-formula> <tex-math notation="LaTeX">$1.1\lambda _{0} \times 1.1\lambda _{0}$ </tex-math></inline-formula>, well covering 2G (1.71–1.92 GHz), 3G (1.88–2.17 GHz), and LTE (2.3–2.4 GHz and 2.5–2.69 GHz) bands.
Comportement de l’uranium et de ses simulants dans les verres d’aluminosilicates en contact avec des métaux fondus

Ce travail s’inscrit dans le cadre du developpement d’un procede innovant de conditionnement de dechets nucleaires contenant des metaux contamines en actinides. Le principe de ce procede consiste a incorporer des concentrations elevees en actinides dans un bain de verre au contact de metaux fondus. Parmi eux, l’aluminium et/ou l’acier inoxydable imposent un environnement tres reducteur et induisent des phenomenes d’oxydoreduction au sein du verre. Ces phenomenes provoquent un changement du degre d’oxydation des actinides qui modifie leur solubilite dans le verre et peut potentiellement entrainer leur reduction a l’etat metallique. Afin de mieux comprendre les processus mis en jeu, cette etude va s’interesser au comportement de l’uranium et de ses simulants a savoir l’hafnium et le neodyme, dans des verres aluminosilicates du systeme Na2O-CaO-SiO2-Al2O3 et elabores en conditions tres reductrices. La premiere partie de ce manuscrit est consacree a l’etude comparative des solubilites de l’uranium et de l’hafnium dans le verre en fonction des conditions redox et de la composition du verre. Pour cela, une methodologie a ete mise en place et un montage specifique a ete utilise afin d’imposer la fugacite en oxygene et de controler la teneur en alcalins du verre. Les resultats indiquent que la solubilite de l’uranium dans le verre est tres inferieure a celle de l’hafnium (HfIV) dans des conditions reductrices. Pour des fugacites en oxygene inferieures a 10-14 atm, la solubilite de l’uranium est comprise entre 4 et 7 % massiques d’UO2 dans la gamme de temperatures de 1250°C-1400°C. L’etude de la speciation de l’uranium par spectroscopie d’absorption des rayons X (XANES) montre que l’uranium est majoritairement present sous la forme UIV dans le verre pour de telles fugacites en oxygene imposees. Dans la seconde partie de ce travail, les mecanismes d’interactions verre-metal ont ete identifies afin de localiser l’uranium ainsi que ses simulants (neodyme et hafnium) dans le systeme verre-metal. Ces mecanismes sont principalement gouvernes par la presence d’aluminium metal et sont similaires pour l’uranium et ses simulants. Dans des conditions particulieres, le suivi cinetique des experiences met en evidence la presence transitoire de l’uranium et de ses simulants a l’etat metallique dans des alliages ou des composes definis. Au cours du temps, une re-oxydation de ces elements metalliques a lieu en accord avec les donnees thermodynamiques. Dans le cas de l’uranium, le processus de re-oxydation reste a confirmer. Enfin, une approche thermodynamique a l’aide des diagrammes de phases a permis d’expliquer la formation et la dissolution des differentes phases cristallines presentes au sein du verre lors des interactions verre-metal
ANN-Based Binary Backtracking Search Algorithm for VPP Optimal Scheduling and Cost-Effective Evaluation

This article reports an artificial neural network (ANN)-based binary backtracking search algorithm (BBSA) for optimal scheduling controller applied on IEEE 14-bus system for controlling microgrids (MGs) formed virtual power plant (VPP) toward sustainable renewable energy sources (RESs) integration. The model of VPP was simulated and validated based on actual parameters and load data reported in Perlis, Malaysia. BBSA optimization algorithm offers the best binary fitness function to find the best cell. It creates the optimum scheduling using the actual data for wind speed, solar radiation, fuel conditions, battery charging/discharging, and specific hour demand. The developed ANN-based BBSA search for the optimal ANN parameters architecture, e.g., (the number of neurons and learning rate) that enhanced the ANN controller to predict the optimal schedules to regulate power-sharing via prioritizing the utilization of RES in place of the national grid purchases. The results of the optimal on/off status prediction of the 25 DGs showed that the ANN-BBSA gives a mean absolute error (MAE) of 6.2 × 10−3 with a unity correlation coefficient. The results showed a significant reduction in the cost and emission by 41.88% and 40.7%, respectively. Thus, the developed algorithms reduced the energy cost while delivered reliable power toward grid decarbonization.
Reinforcing effect of recycled polypropylene fibers on a clayey lateritic soil in different compaction degrees

The present research investigates the reinforcing effect of recycled polypropylene (R-PP) fibers on a compacted clayey lateritic soil in different compaction degrees. R-PP fibers of 12 mm length were mixed with the soil in the contents of 0.1 and 0.25% of soil dry weight. Unconfined compression strength tests (UCS), direct shear tests and indirect tensile strength (ITS) tests were conducted. Fibers addition showed no significate alterations in the optimum compaction parameters. The study evidenced increases in UCS, changing the soil behavior from a brittle failure to a ductile failure, while fiber contribution was most effective for 0.25% R-PP fibers content and 95% compaction degree. The use of fibers improved the shear stress-strain behavior of the composites and soils compacted at different degrees of compaction showed similar shear behavior, which is coherent to the soil water retention curves (SWRC) results. Significant increases in the tensile behavior of soil-mixtures for both fiber contents used were observed, and fibers increase was more significate than increase in soil degree of compaction. The stretching of the fibers and fibers orientation at the sheared interface in direct shear tests and the fiber “bridge” effect in ITS tests could be observed.
The European X-ray Free-Electron Laser

The European X-ray Free Electron Laser is being commissioned in the spring of 2017 and will start first user operation in the fall. First lasing is expected in the summer. It will be the world’s first hard X-ray laser facility based on superconducting accelerator technology and will deliver an unprecedented X-ray beam to the user community with a high repetition rate. First users are expected to come in the fall of 2017 on the FXE instrument for ultra-fast x-ray spectroscopy and x-ray scattering and on the SPB/SFX instrument for diffractive imaging and structural determination for single particles, clusters and biomolecules. In 2018 four more instruments will be taken into operation covering a wide range of scientific fields. In the talk a full description of the facility will be given including a report of the status of the commissioning.
Media coverage of Christchurch mosque attacks in Western News Websites:

On March 15, 2019, Christchurch, New Zealand, witnessed mosque attacks on two consecutive mass shootings during Friday prayers. A single gunman who entered both mosques began at the Al Noor Mosque in the suburb of Riccarton at 1:40 pm and continued at Linwood Islamic Centre at 1:52 pm to kill 51 and injure 40. This study seeks to analyse and compare the different western media coverage of these attacks in three media outlets: BBC, CNN, and DW, and to identify the media coverage's main themes. The researchers collected all news materials from all website sections related to the terror attacks, including news stories, features, and opinion pieces. The sample's time frame starts from March 15, 2019, to May 15, 2019, using quantitative content analysis and qualitative thematic analysis. The study found that the highest number of published stories were in both DW and BBC. This study's main findings are four initial themes, the positive experience versus the negative experience related to the attack and the global, international level versus the attack's local level. The study concluded two final themes, the negative and the positive theme. Keywords: Framing, Terror Attacks, Coverage, Thematic Analysis, Comparative Studies
FASE: Fine-Grained Accountable and Space-Efficient Access Control for Multimedia Content With In-Network Caching

To reduce the duplicated traffic and improve the performance of distributing massive volumes of multimedia contents, in-network caching has been proposed recently. However, as in-network content caching can be directly utilized to respond users’ requests, multimedia content retrieval is beyond content providers’ control and makes it hard for them to implement access control and service accounting. In this paper, we propose a Fine-grained Accountable and Space-Efficient access control scheme, called FASE, for multimedia content distribution. FASE allows content providers to be fully offline while making the best of in-network caching. In FASE, the attribute-based encryption at multimedia content provider side and access policy based authentication at the edge router side jointly ensure secure fine-grained access control. Our scheme is efficient in both space and time. By designing one time chameleon signature (OTCS), users can keep anonymous during the authentication, and their privileges can be conveniently revoked when needed. Besides, secure service accounting is implemented by letting edge routers collect service credentials generated during users’ request process. Through formal security analysis, we prove the security of our scheme. Simulation results demonstrate that our scheme is efficient with acceptable overhead.
User-Generated Physician Ratings and Their Effects on Patients’ Physician Choices: Evidence from Yelp

Patients increasingly rely on online physician ratings to select their physicians and make health care decisions. However, it is unclear whether online physician ratings signal physician quality information and affect patients’ physician choices. By combining physician rating data from Yelp with data from Medicare, which covers a large elderly patient group, the authors find that ratings are positively associated with important measures of physician quality, including physicians’ credentials, adherence to clinical guidelines, and patients’ health outcomes. They introduce novel instrumental variables, where reviewers’ leniency in rating other businesses is employed as an instrument for physicians’ ratings. They find that an increase in physicians’ average rating increases physicians’ patient flow. To understand the quality signals that patients respond to, the authors also use the latent Dirichlet allocation model and extract topics from review texts. Patients respond differentially to different information and respond most to information about physicians’ interpersonal and clinical skills. In addition, rating credibility, accessibility, and strength of other existent signals moderate the positive effects of online ratings on patient flow. Overall, online physician rating platforms can promote efficiency by disseminating important quality information to patients and directing patients to higher-quality physicians.
Development a Prognostic Model Integrating lncRNA/ mRNA novel Biomarkers Identified by Bioinformatics Analysis and Experiments in Breast Cancer

Purpose: The purpose of this study is to established a prognosis model based on the expression profiles of lncRNAs and mRNAs for breast cancers.Methods: Single Variable Cox Proportional Risk Regression analysis and difference analysis were applied to screen survival-related and differently expressed lncRNAs and mRNAs between tumor and normal tissues from TCGA data. GO and KEGG analysis were applied for top 30 survival-related genes. LncRNA/mRNA co-expressed network was constructed based on correlation analysis. LASSO analysis and Multivariate Stepwise Cox Regression analysis were applied to establish the prognosis model. RT-PCR experiments were applied to verify the correctness of the analysis results. Relative components of the TME in breast cancers with high and low risk groups were analysed by xCell and Cox proportional risk regression analysis. The ceRNA network was constructed by calculating the Pearson correlation coefficient (PCC) for miRNA-mRNA and miRNA-lncRNA using paired miRNA, mRNA, and lncRNA expression profile data.Results:Venn diagrams showed that there were 60 genes and 54 lncRNAs that were differently expressed and related with survival. Through lncRNA/mRNA co-expressed network construction, 19 lncRNA and 16 mRNA hub genes were gained. The genes were then included in LASSO and multivariate Cox proportional hazard regression analysis, and finally, 3 lncRNAs (LINC01497, LINC02766, LINC02528) and 2 mRNAs (C20orf85, CST1) were selected as prognosis predictive genes. According to the median risk score of the 5 candidates, patients were divided into high-risk group and low-risk group. The results of RT-PCR were consistent with the analysis results. The proportions of Adipocytes, Endothelial cells, HSCs, Fibroblasts were significantly lower in low risk score tissues compared with the high risk score tissues, while the proportions of M1 macrophages, MSCs, Th2 cells were significantly higher. A lncRNA-miRNA-mRNA ceRNA network containing 3 lncRNAs, 2 mRNAs, and 158 miRNAs was finally constructed, preliminarily revealed a proper mechanism of the 5 molecules playing important roles in breast cancer progression and prognosis prediction.Conclusion: We found that LINC01497, LINC02766, LINC02528 and C20orf85, CST1 may serve as a powerful prognostic tool to optimize the prognosis evaluation system of breast cancer.
Online and Predictive Warning System for Forced Lane Changes Using Risk Maps

The survival analysis of driving trajectories allows for holistic evaluations of car-related risks caused by collisions or curvy roads. This analysis has advantages over common Time-To-X indicators, such as its predictive and probabilistic nature. However, so far, the theoretical risks have not been demonstrated in real-world environments. In this paper, we therefore present Risk Maps (RM) for online warning support in situations with forced lane changes, due to the end of roads. For this purpose, we first unify sensor data in a Relational Local Dynamic Map (R-LDM). RM is afterwards able to be run in real-time and efficiently probes a range of situations in order to determine risk-minimizing behaviors. Hereby, we focus on the improvement of uncertainty-awareness and transparency of the system. Risk, utility and comfort costs are included in a single formula and are intuitively visualized to the driver. In the conducted experiments, a low-cost sensor setup with a GNSS receiver for localization and multiple cameras for object detection are leveraged. The final system is successfully applied on two-lane roads and recommends lane change advices, which are separated in gap and no-gap indications. These results are promising and present an important step towards interpretable safety.
Improving Tug-of-War sketch using Control-Variates method

Computing space-efficient summary, or \textit{a.k. a. sketches}, of large data, is a central problem in the streaming algorithm. Such sketches are used to answer \textit{post-hoc} queries in several data analytics tasks. The algorithm for computing sketches typically requires to be fast, accurate, and space-efficient. A fundamental problem in the streaming algorithm framework is that of computing the frequency moments of data streams. The frequency moments of a sequence containing $f_i$ elements of type $i$, are the numbers $\mathbf{F}_k=\sum_{i=1}^n {f_i}^k,$ where $i\in [n]$. This is also called as $\ell_k$ norm of the frequency vector $(f_1, f_2, \ldots f_n). $ Another important problem is to compute the similarity between two data streams by computing the inner product of the corresponding frequency vectors. The seminal work of Alon, Matias, and Szegedy~\cite{AMS}, \textit{a.k. a. Tug-of-war} (or AMS) sketch gives a randomized sublinear space (and linear time) algorithm for computing the frequency moments, and the inner product between two frequency vectors corresponding to the data streams. However, the variance of these estimates typically tends to be large. In this work, we focus on minimizing the variance of these estimates. We use the techniques from the classical Control-Variate method~\cite{Lavenberg} which is primarily known for variance reduction in Monte-Carlo simulations, and as a result, we are able to obtain significant variance reduction, at the cost of a little computational overhead. We present a theoretical analysis of our proposal and complement it with supporting experiments on synthetic as well as real-world datasets.
Features of the building of three-dimensional models of agricultural parcels of land to assess the influence of the relief on the signal stability of cellular networks

The article examines main aspects of building threedimensional (3d) models of agricultural parcels of land on the example of generation of digital models of the experimental farm fields. Features and characteristics of the 3d field models building are given according to the results of the application of photogrammetry methods using a UAV (quadcopter) to obtain a heightmap of the investigated areas to compare it with the change in the density of the GSM signal coverage. The examples of digital terrain models (DTMs) obtained at different stages of the processing are given, the issues of using ready-made models for further analytical research on the example of a heightmap transformation for tracking and predicting negative processes, are considered.
Lightweight FISTA-Inspired Sparse Reconstruction Network for mmW 3-D Holography

Integrating compressed sensing (CS) with millimeter-wave (mmW) holography has shown great potential to achieve lightweight onboard hardware, low sampling ratio, and high-speed sensing. However, conventional CS-driven algorithms are always limited by nontrivial adjusting of parameters and excessive computational cost caused by plenty of iterations. To address this problem, we propose a lightweight model-based deep learning framework (LFIST-Net) for mmW 3-D holography, by combining the interpretability of fast iterative shrinkage-thresholding algorithm (FISTA) and tuning-free merit of data-driven deep neural network. First, the single-frequency (SF) holographic imaging technique is integrated into FISTA, which serves as the sensing kernels, to avoid large-scale matrix multiplications. Subsequently, the kernel-based FISTA (KFISTA) is mapped into layer-fixed and parameter-learnable LFIST-Net, whose weights are relaxed to be layer-varied. The updating of key parameters in LFIST-Net, including step sizes, thresholds, and momentum coefficients, are regularized by soft-plus function to ensure the non-negativity and monotonicity. As for 3-D holography implementation, the “1-D + 2-D” scheme is adopted, where the matched filtering (MF) and well-trained LFIST-Net are used for range focusing and reconstructions of azimuth slices. Without losing efficiency, the range-focused subechoes are processed parallelly in 3-D cube form. Experiments, including both simulated and measured tests based on a commercial mmW radar, prove that LFIST-Net is capable of reconstructing the imaging scene precisely. In particular, in near-field mmW 3-D holography tests, both numerical and visual results demonstrate LFIST-Net yields compelling reconstruction performance while maintaining high computational speed compared with MF-based, conventional CS-driven, and network-based methods.
A Novel Cage-Secondary Permanent Magnet Linear Eddy Current Brake With Wide Speed Range and its Analytical Model

A novel cage-secondary permanent magnet (PM) linear eddy current brake (ECB) with wide speed range and its analytical model are presented in this article. Differ from the existed PM ECB, the proposed ECB owns the variable parameters cage-secondary structure. This unique secondary structure can keep braking force at a large constant value from high speed to low speed by changing the secondary parameters in different speed ranges. First, both the structure and working principle of the proposed ECB are given. Then, a new analytical model combined with multilayer theory is proposed, where the saturation of secondary iron teeth and the end effect are considered. Based on the magnetic field distribution result, the characteristics of proposed ECB are analyzed. Third, the accuracy and validity of the analysis results are verified by the finite-element method and prototype experiments. Moreover, based on the genetic algorithm, the optimal secondary parameters are obtained with the objective of maximum braking force at each speed.
Transformation Induced Plasticity Effects of a Non-Equal Molar Co-Cr-Fe-Ni High Entropy Alloy System

Metastability-engineering strategy is an important topic for high entropy alloys (HEAs), owing to the transformation-induced plasticity effect (TRIP). In this work, TRIP effects of Co-Cr-Fe-Ni HEAs are investigated. Results indicate the tensile deformation-induced martensitic transformation occurs in Co35Cr25Fe40−xNix (x = 0–15 at %) HEAs. The excellent combination of tensile strength (760 MPa–1000 MPa) and elongation (65–35%) owe to solid solution strengthening of Co and Cr, and the TRIP effect. In non-equal molar Co-Cr-Fe-Ni systems, with the decrease of Ni content, the values of stacking fault energy (SFE) decrease; thus, TRIP phenomena occurs. Based on the experimental investigation in three different regions of the Co-Cr-Fe-Ni multicomponent phase diagram, the face-centered cubic structured Co-Cr-Fe-Ni HEAs with VEC of ~8.0 is more metastable, and TRIP phenomena are more likely to occur.