Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatiotemporal polarization pattern obtained by interference in a single cross-polarized wave-generation crystal

The cross-polarized wave-generation (XPW) nonlinearity has become the standard solution for producing high-contrast pulses in the amplification chain of femtosecond high-power laser systems. These high-contrast pulses are essential for the study of laser–plasma interaction with solid targets, and therefore it is very important to advance our understanding of how XPW works. The BaF2 crystal is the most common solution for implementing this technique, but until now the theoretical models have focused on pulse propagation inside XPW crystals with long focal lengths in order to ensure a clean spatial profile. In this kind of situation, diffraction in the crystal can be neglected. In this paper, we present a 3D model of XPW that includes diffraction and dispersion by solving a nonlinear Schrodinger equation with short focal lengths. The model describes the creation of the orthogonal wave along the crystal, taking into account the spatiotemporal phases of the new contributions and the propagations of the fields inside the crystal. Using this model, we show that pulses with complex polarization in space and time can be produced for certain parameters (low energy and short focal lengths). The origin of these complex structures is described in terms of the interference between different contributions of the orthogonal wave inside the crystal.
Strategies to Prevent Suicide and Attempted Suicide in New South Wales (Australia): Community-Based Outreach, Alternatives to Emergency Department Care, and Early Intervention

Background: This study describes the development of a system dynamics model to project the potential impact of a series of proposed suicide prevention interventions in New South Wales (NSW, Australia) over the period 2016 to 2031. Methods: A system dynamics model for the NSW population aged ≥ 20 years which represented the current incidence of suicide and attempted suicide in NSW was developed in partnership with a consortium of stakeholders, subject matter experts, and consumers with lived experience. Scenarios relating to current suicide prevention initiatives were investigated to identify the combination of interventions associated with the largest reductions in the projected number of attempted suicide and suicide cases for a 5-year follow-up period (2019–2023). Results: The largest proportion of cases averted for both suicide and attempted suicide over the intervention period was associated with community-based suicide prevention outreach teams and peer-led drop-in facilities (6.8% for attempted suicide, 6.4% for suicide). A similar proportion of potential cases averted of both attempted suicide and suicide (6.4%) was evident for targeted interventions focusing only on those in the population with suicidal thoughts and a previous history of attempted suicide. Conclusion: Initiatives that are characterised by the short-term stabilisation of suicidal distress at the point of crisis, averting the need for a hospital encounter, and the referral of individuals to non-acute community-based care were associated with the largest potential reductions in suicidal behaviour in NSW.
i-WSN League: Clustered Distributed Learning in Wireless Sensor Networks

In this work, i-WSN League, a comprehensive hardware/software framework for the support of distributed training and inference is introduced. For what concerns the hardware, in i-WSN League two types of nodes are considered, namely, head nodes and common nodes. Head nodes are resource-rich nodes that have the capabilities for training artificial neural network. Common nodes collect data and can execute inference only. In i-WSN League, all nodes are grouped in Clusters, each with a Cluster Head (selected among the head nodes), which is the only node responsible for training. To this end, the data coming from all nodes in the Cluster can be utilized. This, however, involves a large exchange of data which might be unsustainable by common nodes. Thus, only part of the data collected by common nodes is sent to the Cluster Heads and a network of Cluster Heads will implement distributed learning in a peer-to-peer fashion. As compared to state-of-the-art literature, the key contributions of our work are related to the combination of gossiping and clustering to adapt the operations executed by each node to its capabilities, with the aim of minimizing the energy consumption in resource-limited nodes, while preserving accuracy. In this article, i-WSN League is assessed in a simple scenario in which a wireless sensor network monitors the air pollution in a large city. Performance results obtained by considering auto-encoders prove the effectiveness of the proposed scheme as well as its balanced energy consumption and fairness in resource consumption distribution.
Automatic Passenger Counting on the Edge via Unsupervised Clustering

We present a device- and network-based solution for automatic passnger counting that operates on the edge in real time. The proposed solution consists of a low-cost WiFi scanner device equipped with custom algorithms for dealing with MAC address randomization. Our low-cost scanner is able to capture and analyze 802.11 probe requests emitted by passengers’ devices such as laptops, smartphones, and tablets. The device is configured with a Python data-processing pipeline that combines data coming from different types of sensors and processes them on the fly. For the analysis task, we have devised a lightweight version of the DBSCAN algorithm. Our software artifact is designed in a modular way in order to accommodate possible extensions of the pipeline, e.g., either additional filters or data sources. Furthermore, we exploit multi-threading and multi-processing for speeding up the entire computation. The proposed solution has been tested with different types of mobile devices, obtaining promising experimental results. In this paper, we present the key ingredients of our edge computing solution.
Attempt to Make the Upper-Limb Item of Objective Fugl–Meyer Assessment Using 9-Axis Motion Sensors

The Fugl–Meyer Assessment (FMA) has been used as a functional assessment of upper-limb function in stroke patients. This study aimed to create a more objective and standardized evaluation based on an FMA of the upper-limb items. A total of 30 first-ever stroke patients (65.3 ± 10.3 years old) and 15 healthy participants (35.4 ± 13.4 years old) admitted to Itami Kousei Neurosurgical Hospital were included. A nine-axis motion sensor was attached to the participants, and the joint angles of 17 upper-limb items (excluding fingers) and 23 FMA upper-limb items (excluding reflexes and fingers) were measured. From the measurement results, we analyzed the time-series data of each movement and obtained the correlation between the joint angles of each part. Discriminant analysis showed that 17 and 6 items had a concordance rate of ≥80% (80.0~95.6%) and <80% (64.4~75.6%), respectively. In the multiple regression analysis of continuous variables of FMA, a good regression model was obtained to predict the FMA with three to five joint angles. The discriminant analysis for 17 evaluation items suggests the possibility of roughly calculating FMA scores from joint angles.
Genome-Wide Analysis of WRKY Transcription Factors Involved in Abiotic Stress and ABA Response in Caragana korshinskii

The WRKY transcription factor family plays a vital role in plant development and environmental response. However, the information of WRKY genes at the genome-wide level is rarely reported in Caragana korshinskii. In this study, we identified and renamed 86 CkWRKY genes, which were further classified into three groups through phylogenetic analysis. Most of these WRKY genes were clustered and distributed on eight chromosomes. Multiple sequence alignment revealed that the conserved domain (WRKYGQK) of the CkWRKYs was basically consistent, but there were also six variation types (WRKYGKK, GRKYGQK, WRMYGQK, WRKYGHK, WKKYEEK and RRKYGQK) that appeared. The motif composition of the CkWRKYs was quite conservative in each group. In general, the number of WRKY genes gradually increased from lower to higher plant species in the evolutionary analysis of 28 species, with some exceptions. Transcriptomics data and RT-qPCR analysis showed that the CkWRKYs in different groups were involved in abiotic stresses and ABA response. Our results provided a basis for the functional characterization of the CkWRKYs involved in stress resistance in C. korshinskii.
Inference and Disputed Authorship: The Federalist

The 1964 publication of "Inference and Disputed Authorship" made the cover of "Time" magazine and drew the attention of academics and the public alike for its use of statistical methodology to solve one of American history's most notorious questions: the disputed authorship of the "Federalist Papers". Back in print for a new generation of readers, this classic volume applies mathematics, including the once-controversial Bayesian analysis, to the heart of a literary and historical problem by studying frequently used words in the texts. The reissue of this landmark book will be welcomed by anyone interested in the juncture of history, political science, and authorship.
A Test of Relative Similarity

A statistical test of relative similarity is introduced: given independent samples from a target distribution and two candidate distributions, the test determines whether one of the candidate distributions is significantly more similar to the target than the other. The maximum mean discrepancy (MMD) is used as the metric for ranking relative similarity of the distributions, and a powerful, low-variance test is derived based on the joint asymptotic distribution of the MMDs between each target-candidate pair. The purpose of the test is to compare generative models , and to determine which of two models generates samples that are significantly closer to a real-world reference dataset of interest.
Efficiency of Fabricated Adsorptive Polysulfone Mixed Matrix Membrane for Acetic Acid Separation

The ultrafiltration mixed matrix membrane (UF MMMs) process represents an applicable approach for the removal of diluted acetic acid at low concentrations, owing to the low pressures applied. The addition of efficient additives represents an approach to further improve membrane porosity and, subsequently, enhance acetic acid removal. This work demonstrates the incorporation of titanium dioxide (TiO2) and polyethylene glycol (PEG) as additives into polysulfone (PSf) polymer via the non-solvent-induced phase-inversion (NIPS) method to improve the performance of PSf MMMs performance. Eight PSf MMMs samples designated as M0 to M7, each with independent formulations, were prepared and investigated for their respective density, porosity, and degree of AA retention. Morphology analysis through scanning electron microscopy elucidated sample M7 (PSf/TiO2/PEG 6000) to have the highest density and porosity among all samples with concomitant highest AA retention at approximately 92.2%. The application of the concentration polarization method further supported this finding by the higher concentration of AA solute present on the surface of the membrane compared to that of AA feed for sample M7. Overall, this study successfully demonstrates the significance of TiO2 and PEG as high MW additives in improving PSf MMM performance.
Crash clustering technique based on core behavior extraction of program crash states

Crash report analysis is a necessary step for software maintainers before fixing software bugs. Fuzzing and symbolic execution tools are often used to automate the generation of crash reports, but there are a large number of duplicate crash reports. Although it uses heuristics such as stack hashing, crash points, etc. to reduce duplicate crash reports, the false alarm rate is high and still requires manual analysis to identify them, which requires considerable effort. In this paper, we propose a crash clustering method based on program crash state extraction, which mainly uses fuzzing techniques to explore the program state space, selectively performs path reduction to generate the core behavior of the crashed program runtime, collects the path information for core behavior and generates feature vectors. Then discriminates whether different crash samples are caused by the same root cause through similarity comparison. We evaluated our tool Diccriminate in real software with real vulnerabilities, and the experimental results show that it can perform crash clustering with 94.31% accuracy, which is more than 20% improvement over existing advanced crash clustering techniques, validating the feasibility and practicality of the method in this paper.
Projective synchronization of autonomous chaotic system based on linear separation

This paper analyses the projective synchronization in autonomous chaotic system. Base on the stability criterion of linear systems, a new approach for constructing chaotically projective synchronization is proposed. The projective synchronizations of Lorenz system, Rssler system and hyperchaotic chen's system are achieved via the linear separation method. Numerical simulations are provided for illustration and verification of the proposed method.
Spermosphere Bacteria Promote Ormosia henryi Seed Germination by Activating Metabolic Pathways

Spermosphere microorganisms are affected by seed exudates (carbon deposits) and interact with each other around the germinating seeds. The interactions in this region will have an important impact on seed germination, plant growth, and development. Ormosia henryi Prain is a rare and endangered tree species with hardseed in China that generally shows low levels of natural regeneration. However, good levels of natural regeneration were observed under a few mother trees in Guanling County (Guizhou Province, China). Based on this phenomenon: we raise the question: Is the seed germination of Ormosia henryi in high-level natural regeneration areas driven by the spermosphere microbe and what is the driving mechanism? The purpose of this study was to explore the promoting role of spermosphere bacteria in different stages of germination, so as to provide a theoretical basis for screening strong colonization ability spermosphere functional bacteria. Thus, in this study, we designed a germination experiment simulating the natural soil (sterilized and unsterilized) of Guanling County. We used 16S rRNA gene sequencing and widely targeted multiple reaction monitoring (MRM) metabolomic analysis to analyze bacterial microbial diversity and the metabolic profiles of seed exudates at the four stages of seed germination: imbibition, radicle protrusion, radicle elongation, and cotyledon protrusion. The results indicated that some spermosphere bacteria: taxa of Bacillus, Acidobacteriales, Nitrospira, and Ellin6067, and other functional bacteria may play important roles in promoting seed germination depending largely on their functional characteristics and abundance. The critical period for spermosphere bacteria to promote seed germination was at the radicle protrusion stage in the unsterilized soil group, levels of metabolites such as sugars and amino acids of seed exudates were increased in this stage, more respiratory pathways were activated and seed respiratory metabolism was enhanced. Spermosphere bacteria of wild Ormosia henryi in the Guanling area appeared to promote the germination of O. henryi seeds, mainly through activating galactose metabolism and the lysine degradation pathway to provide energy for germination.
Finite-time H ∞ control under the Round-Robin protocol for switched linear systems with admissible edge-dependent average dwell time

This article focuses on finite-time H ∞ control under the Round-Robin protocol for switched linear systems with admissible edge-dependent average dwell time. To relieve the bandwidth pressure of the sensor, a Round-Robin protocol is constructed to decide the access rights of each node of the sensor. Under the Round-Robin protocol-based control structure, admissible edge-dependent average dwell time is applied to describe the transition relationship between the modes of the subsystem and release the restrictions of mode-dependent average dwell time. Moreover, the finite-time stability and H ∞ performance of switched system with Round-Robin protocol are analyzed by using multiple Lyapunov function method combined with the admissible edge-dependent average dwell time switching. Sufficient conditions for the solution to finite-time control problem are derived which consider the H ∞ performance index. Finally, the availability of the control synthesis methods is verified by the circuit model of Buck–Boost converter.
Comparison of magnetic forces for IPM and SPM motor with rotor eccentricity

The permanent magnet motor is often the most important element in many precision rotor applications and also a frequent source of vibration and acoustic noise. The eccentricity between stator and rotor is inevitably introduced during manufacturing process, such as mass unbalance, shaft bow and bearing tolerances. This paper investigates radial force density and magnetic unbalanced force for IPM and SPM motors when rotor eccentricity exists. For the magnetic field analysis, a finite element method is used to account for the magnetic saturation and rotor eccentricity. The radial force density and magnetic unbalanced force are analyzed by Maxwell stress tensor and discrete Fourier transform. An IPM BLDC motor, mostly chosen to realize high speed operation, is significantly affected by rotor eccentricity due to magnetic saturation.
Research on the algorithm of 3D pose solving based on binocular vision

Due to the complex lighting environment in space, the surface coating material of the spacecraft is uneven and has strong reflection characteristics, resulting in the complex problem of extremely bright or extremely dark in the image under sunlight, and it is difficult to extract stable features. In addition, for the actual measurement system, the amount of data for image feature processing and image matching is large, which makes the speed of the key algorithm unable to meet the real-time nature of the application. Therefore, based on the above problems, this paper proposes a set of threedimensional measurement algorithms based on binocular vision, mainly has four parts, camera calibration, Image correction, stereo matching and pose solving. We use traditional image processing algorithm for satellite image, using M software for camera calibration, and the calibration results are further optimized and corrected, due to the requirements of real-time, based on ORB algorithm, the use of Fast algorithm for feature point extraction and descriptor calculation by Brief, and the polar constraint is fused for feature matching. Improve the robustness and real-time performance of the algorithm, and perform pose solving by rotating angle. Experiments show that the algorithm can quickly and accurately achieve three-dimensional pose measurement.
Numerical modelling of the edge plasma in tokamaks

A 2D multifluid model for deuterium plasma and impurity ions has been applied to study the plasma and impurity ions transport in the tokamak scrape-off layer (SOL). The model is based on the electron-ion fluid equations for hydrogen plasma and rate equations for impurity ions. An analytical model for neutrals is employed allowing to take into account recycling of hydrogen, sputtering and self-sputtering of nickel atoms at the target in a self-consistent way with boundary plasma dynamics. Equations of the model are solved in the slab geometry using the 2D multifluid code EPIT. Calculations are performed for poloidal limiter configuration of the FTU tokamak as well as for the ITER-like reactor tokamak with divertor. Plasma parameters in the SOL are investigated under conditions in which the physical sputtering at the target plates is the only mechanism of the impurity production. In the case of the FTU tokamak with the poloidal inconel limiter, the calculated results indicate existence of a self-regulating mechanism limiting the electron temperature in the SOL below 30 eV. For ITER, berylium, carbon and nickel target plates are considered. Results show that the plate erosion is high for berylium and carbon target plates, while the radiation is rather low. When nickel is taken as the target plate material, plate erosion is reduced significantly and simultaneously the radiation is large (up to 65 % of the input power) which makes high - Z materials attractive for the reactor.
Endovascular Thrombectomy for Large Ischemic Strokes: A Living Systematic Review and Meta-Analysis of Randomized Trials

Background and Purpose New studies have shown that endovascular thrombectomy (EVT) is safe and effective for acute ischemic stroke (AIS) patients with large ischemic areas. The aim of our study is to conduct a living systematic review and meta-analysis of randomized trials comparing EVT versus medical management only. Methods We searched MEDLINE, Embase, and the Cochrane Library to identify randomized controlled trials (RCTs) comparing EVT versus medical management alone in AIS patients with large ischemic regions. We conducted our meta-analysis using fixed-effect models to compare functional independence, mortality, and symptomatic intracranial hemorrhage (sICH) between EVT and standard medical management only. We assessed the risk of bias using the Cochrane risk-of-bias tool and the certainty of evidence for each outcome using the Grading of Recommendations, Assessment, Development, and Evaluations approach. Results Of 14,513 citations, we included 3 RCTs with a total of 1,010 participants. We found low-certainty evidence of possibly a large increase in the proportion of patients with functional independence (risk difference [RD] 30.3%, 95% CI 15.0% to 52.3%), low-certainty evidence of possibly a small non-significant decrease in mortality (RD -0.7%, 95% CI -3.8% to 3.5%), and low-certainty evidence of possibly a small non-significant increase in sICH (RD 3.1%, 95% CI -0.3% to 9.8%) for AIS patients with large infarcts who underwent EVT compared to medical management only. Conclusion Low-certainty evidence shows that there is possibly a large increase in functional independence, a small non-significant decrease in mortality, and a small non-significant increase in sICH amongst AIS patients with large infarcts undergoing EVT compared to medical management only.
Premature Ventricular Contraction (PVC) Recognition Using DCT-CWT Based Discriminant and Optimized RBF Neural Network

A new method for premature ventricular contraction (PVC) detection and classification is presented. The proposed algorithm is constituted of two principal phases: the features extraction and reduction phase and the optimized classification phase. In the first phase, the discrete cosine transform (DCT) and the continuous wavelet transform (CWT) are applied on each ECG beat to generate an augmented features vector. For the optimized classification phase, the radial basis function (RBF) neural network classifier is trained and optimized by the bat algorithm. For the aim of performances evaluation of the proposed method, the MIT-BIH arrhythmia database has been used. Consequently, the BAT-RBF classifier yielded an overall sensitivity of 95,2% and an accuracy of 98,2%, confirming clearly the competitiveness of the proposed method compared to some recent and powerful algorithms.
A note of boundary geodesic problem on regular surfaces

Study on the geodesic problems with boundary conditions playing an important role in the fields of differential geometry and CAGD etc. In this note, we talk about two unified methods for improving the boundary geodesic problem on regular surfaces, including the parametric surfaces and the implicit surfaces. Both of these methods can estimate elegantly the geodesic curves between two objects, including points and curves, on the surfaces.