Miracle-dz/UniFAR-FTUs huggingface dataset:
Particle classification in Taylor vortex flow with an axial flow

Particle classification phenomenon in Taylor vortex flow with an axial flow was investigated experimentally and numerically. The flow-visualization experiment by a laser-induced fluorescence method clearly revealed that there existed two distinct mixing regions at low Reynolds numbers. The tracer near the vortex cell boundary was rapidly transported axially owing to the bypass flow effect. On the other hand, the fluid element was confined to the vortex core region without being exchanged with the outer flow region. In order to observe particle classification phenomenon, polymethyl methacrylate (PMMA) particles suspended in the same aqueous solution of glycerol as the working fluid were fed into the top of the apparatus. Particle size was initially ranging from 10 to 80 ? m. The ratio of the particle density to the fluid density was 1.04? 1.05, which means the density difference between particle and fluid is very small. The suspended solution was withdrawn using a hypodermic needle every a certain time period at 30 mm above the bottom of apparatus. The fluid was sampled both near the outer wall and in vortex core. The particles sampled at 42 min having the size of 20? 50 ? m were mainly observed in the vortex core region. On the other hand, a large population of particles having the size of about 50? 80 ? m could be seen in the outer region of vortex. It was found that large particles located near the outer edge of vortices were quickly transported axially owing to the bypass flow effect. Numerical simulation also revealed that the loci of particles depended on the particle size.
Advances in the scintillation performance of LSO:Ce single crystals

We investigated the scintillation characteristics of 2186 LSO crystals that were cut from over 400 crystal boules. We measured the light output and energy resolution of all crystals, and also measured the decay times of a broad sampling of the crystals. We observed a significant reduction in the variation of both light output and decay time in this population of crystals compared to the results previously published in 1998. The reduced variation in scintillation properties may be attributed to better control of the populations of the two Ce scintillation centers in LSO, as well as better control of the effect of quenching centers, and the effects of Ce segregation during crystal growth.
Impact interactions between two vibration systems under random excitation

The exact stationary solutions of the random response of two special vibration systems with impact interactions are formulated in this paper. Between the two systems, the Hertz contact law is used to model the contact process during vibration. A clearance is also introduced. The excitation is assumed to be a stationary white Gaussian process with zero mean and acting on the two systems independently. By assuming the ratio of the excitation and damping parameter of each system to be the same, the exact solutions can be found through solving the time-independent Fokker-Planck equation. The effects of contact stiffness, clearance and the system properties on the response are discussed probabilistically. From this study, it is found that, under some cases, the contact phenomena still play an important role on the response even when the clearance is larger than three times the root mean square response of the corresponding linear systems.
Proceedings of the LREC 2022 Workshop on Challenges in the Management of Large Corpora (CMLC-10 2022)

Short text messages used in micro-blogging platforms have specific characteristics making them difficult to process with existing natural language tools, trained on regular text. This paper presents challenges encountered while creating a representative corpus of Romanian micro-blogging text; in this phase we focus on Twitter messages. Once completed, this would become an extension of the Representative Corpus of the Contemporary Romanian Language (CoRoLa) and will be made available to the research community using similar interfaces
Analysis of plasmonic properties of heavily doped semiconductors using full band structure calculations

Surface plasmon polaritons (SPPs) and localized surface plasmon (LSP) resonances are not limited to noble metals. Any material with a substantial amount of free carriers will support surface plasma oscillations which, when coupled to an electromagnetic field, will result in surface plasmon polaritons and localized surface plasmon resonances in confined systems. Utilizing a full band structure approach, we analyze the plasmonic properties of several heavily doped semiconductors. We present rigorous quantum mechanical calculations of the plasma frequency, and study in detail its dependence on impurity doping concentration. Results are presented for silicon, germanium, gallium arsenide, zinc oxide, and gallium nitride. For silicon and zinc oxide, the surface plasmon resonance frequency is calculated for a large range of doping concentrations and we study the dispersion of surface plasmon polaritons on thin films. The investigated properties of heavily doped semiconductors hold promises for several interestin.
A method for simultaneously calibrating projectors and correcting nonlinearities

In FPP, projector nonlinearity is a significant factor affecting calibration accuracy and the reconstruction effect. Existing techniques frequently separate system calibration from nonlinearity correction, and the majority of these correction techniques necessitate the acquisition of additional images, making the process laborious. In this study, we provide a technique for solving both the nonlinear error function and the projector parameters at the same time. The parameters of the nonlinear error function are first estimated using a theoretical calculation of the phase error due to nonlinearity, based on the distribution relationship between the reprojection error and the phase of the characteristic points. The resulting nonlinear error function is then used to correct for the wrapped phase. It was shown that the projector reprojection error was decreased by 14.7 percent (RMS) and the object reconstruction quality was enhanced after two iterations.
Turbulent mixing: the roots of intermittency

Mixing in fully developed incompressible turbulent flows is known to lead to a cascade of discontinuity fronts of passive scalar fields; these fronts make the tracer fields strongly intermittent and give rise to an anomalous scaling of structure functions. Here, a simple model, essentially a one-dimensional (1D) variant of Baker's map, is developed, which captures the main mechanism responsible for the emergence of the discontinuities. The model is studied both numerically and analytically. In particular, the structure function scaling exponent ζp is derived; for the Kolmogorov turbulence, . The analytical findings are consistent with simulations, and explain the results of a series of numerical and experimental studies.
B-spline ADC: many-body ab initio theory for electron dynamics in strong laser fields

This thesis is focused on the development of an efficient first-principles theoretical and numerical method based on the many-electron algebraic diagrammatic construction [ADC(n)] schemes, in order to describe the correlated ionisation dynamics in atomic and molecular systems interacting with perturbative and non-perturbative laser fields. The first line of research has focused on the calculation of total singlephoton photoionisation cross-sections, applying the Stieltjes-Imaging theory to Lanczos pseudospectra of the ADC Hamiltonian in Gaussian basis. We have established the accuracy of this technique by comparing the ADCLanczos-Stieltjes ground-state cross-sections obtained using different levels of many-body theory to the experimental ones for a series of organic molecules. We have extended this method to excited states cross-sections showing that a theoretical modelling of photoionisation from excited states requires an intrinsically double excitation theory. However, above 80 eV photon energy all three methods lead to inaccurate results due to the limitations of the Gaussian basis to describe continuum wave-functions of ionised electrons. The second, main line of research, has therefore been dedicated to constructing and computationally optimising the first implementation of the single [ADC(1)] and double excitations [ADC(2)] schemes in the B-spline basis, which is able to accurately describe the strongly oscillating continuum orbitals. As first application of this new method, we have calculated the photoionisation cross-sections of noble gas atoms showing that the features that pose a challenge for the GTO calculations are reproduced in a very good agreement with the experiment. We also have developed a time-dependent version with which we have calculated the HHG spectra of Ar, reproducing the effect of the Cooper minimum, and CO2, quantitatively investigating the multi-channel effects on its dynamical minimum. Finally we have provided a numerical answer to the highly topical question of coherence and
Inkjet OLED printing planning based on deep reinforcement learning and reward-based TLO

With the increasing use of OLED screens in electronic products, there is a focus on how to print OLED screens more efficiently. Deep reinforcement learning is being used to solve the OLED printing planning problem because it effectively uses historical data and is also real-time. This paper uses a modified TLO method to combine deep reinforcement learning for multi-objective optimization of OLED printing. Through experiments, the method is compared with the linear weighting method commonly used in multi-objective reinforcement learning, which is more effective in optimization.
Electrical properties of unidirectional carbon-epoxy composites in wide frequency band

The square-array model with infinite chains of contact is proposed to account for the dependence of electrical properties on frequency and fibre volume fraction in unidirectional carbon-fibre/epoxy-resin composites. The longitudinal AC conductivity, E vector parallel to fibre axis, decreases with increasing frequency due to magnetic flux change from neighbouring fibres and increases linearly with fibre volume fraction due to increment of specific fibre cross section within a volume element. A longitudinal permittivity of nearly unity for the frequency range of 1.7 GHz to 10 GHz, irrespective of fibre volume fraction, suggests that the composites can be considered as good conductors even at higher frequency. The three stages of increment and decrement with increasing frequency for transverse conductivity and permittivity, are ascribed to space charge polarisation. The increment of transverse AC conductivity with fibre volume fraction is ascribed to the increase of conducting channels.
Performance Analysis of NOMA Transmission Systems Based on OTFS

Orthogonal time frequency space (OTFS) and non-orthogonal multiple-access (NOMA) are both wireless transmission technologies suitable for high-speed scenarios. This paper proposes a cross-domain transmission scheme combining OTFS and NOMA applicable to the Internet of vehicles. We establish a channel model of cross-domain transmission. Based on the downlink, we deduce the expression for the SINR of the transmitted signal. We simulate and analyze the spectrum efficiency and other performance from the perspective of the system level. At last, we make a comparison between the OTFS-based NOMA system and the OFDM-based NOMA system. Numerical results manifest that OTFS-NOMA has better performance in terms of outage spectrum efficiency.
Water Stress Index application to assess water scarcity of Lower Vu Gia - Thu Bon River Basin in Vietnam

The role of water security is the importance of sustainable development in a country. This study used the water stress index (WSI) to evaluate the status of water resources and water exploitation in the Vu Gia - Thu Bon river basin. In the study, the Vu Gia - Thu Bon river basin was divided into 15 areas to calculate the water stress index (WSI) through the following calculation: The water availability is calculated by the simulation software MIKE SHE; Demand water (domestic, industry, agriculture); Environmental water requirement (EWR) to maintain environmental stability of the river. The findings have shown that 1) There is WSI differences beetwen upper and lower Vu Gia Thu Bon; 2) In the downstream areas, WSI value is up to 4 in the dry season. WSI exceeds 1 times is during the period from April to June. Water scarcity becomes more serious than in the middle and upstream areas, especially, the exploitation area to supply water for domestic and industry in Da Nang city.
Reuse of Invariants in Proofs of Implementation

In this paper we describe a technique to inherit safety properties from abstract programs to their implementations. With this technique repetition of many proofs can be avoided. Let P be a concurrent program and P ' its implementation. The basic idea is taken from L. Lamport: establish a map alpha from the state space of P ' to the state space of P , and map all reachable atomic transitions (s', t') of P ' to pairs of states, (alpha(s'),alpha(t')), in the state space of P ; if each pair can be demonstrated to be either an atomic transition of P or the empty transition, alpha(s') = alpha(t') , then any safety property of P invariant to arbitrary repetition of states induce a similar safety property of P '. For many programs some of the unreachable transitions in P ' do not map this way; hence it may be necessary to characterise the reachable states of P ' in advance of the above demonstration. We prove that the properties we want to inherit can safely be used for this. The main purpose of the paper is to demonstrate the utility of such a result. The theoretical results in the paper are worked out into gradually more powerful techniques for inheriting safety properties. These proof techniques are illustrated with examples.
Radar Communication Jamming Signal Recognition Based on the Attention Mechanism

In modern battlefields, radar radiation sources detect targets by transmitting high-power modulated signals. In order to protect the operational effectiveness of the radar, there is a higher requirement for radar communication anti-jamming signal recognition capability. The accurate and fast identification of radar anti-jamming signals is the prerequisite for taking effective anti-jamming measures, which will directly affect the operational effectiveness of radar. At present, the recognition method based on the neural network can automatically extract signal features and obtain good recognition results. Because radar emitter signals have a strong correlation in time sequence, the LSTM network is used in this paper. For better feature extraction and classification of signals, this paper constructs the LSTM attention network, combines the attention mechanism with the LSTM recognition network, and proves the effectiveness of radar communication jamming signal recognition network based on the attention mechanism through experiments.
New structure of affine projection algorithm using a novel subband adaptive system

This paper proposes a new structure of the affine projection algorithm (APA) based on the subband adaptive system (SAS). It is known that the APA can increase the rate of convergence when the input signal is highly correlated. The SAS used in the proposed structure differs from the conventional ones, i.e., it does not include the decimation operations, the adaptive filters in subbands share the same coefficients, and coefficients of analysis filters are determined according to the Hadamard transform. These differences make the proposed structure have some advantages over the conventional structures of the APA, e.g., we can greatly reduce the computational requirement for implementing the APA because the proposed structure does not require the matrix inversion.
Cascaded two-stage optical regenerator based on four wave mixing in highly nonlinear fiber.

This work focuses on the effectiveness of using four-wave mixing (FWM) in restoring the corrupted signal as well as the factors that affect the quality of the data. The method was based on the two-stage FWM-based optical wavelength converter designed using a OptiSystem version 18.0. The signal regeneration for both stages has taken place in the highly nonlinear fiber (HNLF) having length of 1.0 km and 0.8 km respectively. The first stage is to convert and restore a signal carrying NRZ formatted data at 1552 nm into a new wavelength of 1548 nm. While the second stage is to transfer the data back into the original wavelength of 1552 nm. It has been found that the quality of the data (Q-factor) is affected by the power of modulated signal (1552 nm) as well as the power of unmodulated pump source (1550 nm). The maximum Q-factor of 29.6 at 6 dBm signal power and of 35.7 at 16 dBm pump power have been achieved here. The wavelength spacing between those two sources also affect the quality of regenerated signal. The optimum quality value is found to be above 25 when the spacing is 1 nm regardless of the signal and pump power values.
An Improved SSD Object Detection Algorithm Based on Attention Mechanism and Feature Fusion

The Single Shot MultiBox Detector (SSD) is a well-known object detection method, but its detection of small objects is not effective. This paper makes modifications to the SSD object detection method to address its insufficient semantic information in low-level feature maps, thus enhancing the detectability for small objects. First, the Feature Pyramid Network (FPN) is incorporated into the SSD so that the shallow feature map, which is primarily utilized for detecting small objects, contains more semantic information in addition to rich location information. Second, the Convolutional Block Attention Module (CBAM) is introduced to reinforce the SSD network’s capability to learn key features and thus improve missed detections. The experimental data indicate that this algorithm achieves 78.1% mAP in the PASCAL VOC2007test, a 3.9% improvement compared with the conventional SSD, and also has a great improvement compared with the Fast R-CNN and Faster R-CNN. As well as,this algorithm is better for small object detection and also meets the real-time requirements.
Long-Term Behavior of Cloud Systems in TOGA COARE and Their Interactions with Radiative and Surface Processes. Part I: Two-Dimensional Modeling Study

Abstract Two-dimensional cloud-resolving modeling of tropical cloud systems was performed for a 39-day period (5 December 1992 through 12 January 1993) during the Tropical Ocean Global Atmosphere (TOGA) Coupled Ocean–Atmosphere Response Experiment (COARE). This period contains strong convective episodes within a major westerly wind burst. A cloud-resolving model combined with a cloud-interactive radiation scheme was driven by the observed evolving large-scale forcing for temperature and moisture, evolving large-scale horizontal winds, and evolving sea surface temperature. These all represent averaged conditions over the Intensive Flux Array of TOGA COARE. Model-produced quantities were evaluated against the observational data and used to quantify interactions of the simulated cloud systems with radiative and surface processes. Focus is on quantities of value to cloud–climate research and to an improved physical basis for the parameterization of cloud systems per se. During convectively disturbed periods (.
On V4-cordial Labeling of Graphs

In this Research article we prove the following results: 1. The crown graph Cn ⊙ K1 is V4-cordial for all n. 2. The armed crown ACn is V4-cordial for all n. 3. The pan graph C n is V4-cordial for all n. 4. The corona graph Cn ⊙ mK1 is V4-cordial for all n and m.
The neutrophil-to-lymphocyte ratio, as an emerging marker, is an important indicator predicting spontaneous reperfusion and clinical prognosis in patients with ST-segment elevation myocardial infarction

Background: Neutrophil to lymphocyte ratio (NLR) has emerged as a new inflammation marker, which plays a major role in plaque instability, rupture, and erosion, and facilitates its progression, leading to acute myocardial infarction. The study aims to explore the role of NLR in predicting spontaneous reperfusion (SR) and prognosis in patients with ST-segment elevation myocardial infarction (STEMI). Methods: This was a retrospective analysis including 506 STEMI patients undergoing primary percutaneous coronary intervention treatment, who were divided into two groups according to the thrombolysis in myocardial infarction (TIMI) flow: SR group (69 patients, initial TIMI flow 3) and No-SR group (437 patients, initial TIMI flow 0-2). Results: The incidence of SR was 13.6%. SR group was associated with a remarkably lower level of NLR [5.14 (2.97, 7.02) vs. 8.03 (4.54, 10.92), P<0.001], more proportions of final TIMI 3 flow (98.6% vs. 91.5%, P < 0.05), lower incidence of congestive heart failure (8.7% vs. 18.5%, P < 0.05), and significantly better outcomes. Using multivariate logistic regression analysis, NLR (OR: 0.799, 95% CI: 0.730-0.874, P < 0.001) and fasting blood glucose were the independent predictors of SR. On multivariate Cox regression analysis, NLR (HR: 1.035, 95% CI: 1.001-1.071, P < 0.05) was the independent predictor of MACEs during follow-up. Conclusions: NLR had the ability in predicting SR in STEMI patients and SR flow was associated with a favorable outcome. We also revealed an association between NLR and increased risk of MACEs during follow-up.
Modelilng Unawareness in Arbitrary State Spaces

I develop a set-theoretic model of unawareness without making any structural assumptions on the underlying state space. Unawareness is characterized as a measurability constraint that results in players' reasoning about a “coarse" subjective algebra of events. The model is shown to be essentially equivalent to the product model in Li (2007), indicating that such a measurability constraint can be captured by restrictions on the dimensions of the state space without loss of generality. I use a variant of the partition model to examine the case of partial unawareness, where the player is aware of a question but unaware of some possible answers to that question, and characterize the player's knowledge hierarchies from his subjective perspective.
Wetting of Si surfaces by Au–Si liquid alloys

The behavior of liquid Au–Si alloys on Si surfaces covered by a monolayer of gold has been investigated by ultrahigh-vacuum scanning electron microscopy. On the (111) surface, the alloy displays a constant contact angle with the surface from the eutectic temperature up to a temperature of 650 °C and thereafter the contact angle increases linearly with temperature. As observed in previous work, the shape of the liquid droplets changes from circular at lower temperature to hexagonal at higher temperature. In contrast, on the (100) surface, the contact angle increases linearly from the eutectic temperature to high temperature. The behavior of the shape of the droplets is, however, reversed: it is polygonal (octagonal) at lower temperature and becomes round at higher temperature. This behavior is explained in terms of the relative surface energy of the two surfaces and changing line tension of the liquid–solid–vapor phase line. In addition, the behavior of Au–Si droplets on vicinal and patterned surfaces of S.