Miracle-dz/UniFAR-FTUs huggingface dataset:
An extrapolation-based boundary treatment for using the lattice Boltzmann method to simulate fluid-particle interaction near a wall

Two important issues need to be addressed when using lattice Boltzmann methods to simulate particulate flows: complex moving boundaries and near contact of two solid objects. This study introduces a new boundary treatment method for using lattice Boltzmann methods to study fluid-particle interaction problems in which solid objects are close to a wall or two solid objects are near contact. The new method does not need to use any additional lubrication correction to total hydrodynamic force, instead implementing the no-slip boundary condition by introducing an appropriate fictitious flow field outside the fluid domain. The new method was verified by simulating a spherical particle falling down in fluids with and without rebound. It is concluded that the proposed boundary treatment method can accurately simulate the fluid-particle interaction near a rigid wall and collision in fluid.
Ultrastrong light-matter-coupling at 250 GHz

The Ultrastrong light-matter coupling regime is attained when the coupling rate Ω is comparable or larger than the resonance frequency of the light ωLC and electronic transition frequency of the matter part ωc. This regime has attained much attention due to the peculiar properties of the coupled state. Here, we present a physical system showing a high normalized coupling rate not far from unity. The LC-mode of a THz-metasurface unitcell at ωLC = 2π x 0:25 THz is coupled to the collective cyclotron transition of 4 two dimensional electron gases (2DEGs) resulting in a normalized coupling rate of Ω/ωc = 0:9, Ω being the vacuum Rabi frequency. The high coupling rate is enabled by the small mode volume provided by the LC-mode of the split ring resonator geometry which was employed. Equally important is the large collective transition dipole element of the cyclotron transition.
Full-wave 3D simulations using the broadband NSPWMLFMA

Full-wave simulation of complex structures and devices, based on the Maxwell equations, is gaining importance now that technology has reached a point where many of the quasi-static or high-frequency approximations are no longer sufficiently accurate. A major drawback of the so-called exact methods is their greed for resources, namely CPU-time and computer memory. Industry puts a limit to both, inspiring the quest for ever more powerful methods. The Fast Multipole Method (FMM) breathed new life in the well-renowned Method of Moments (MoM). The original formulation of the FMM suffered from breakdown at low frequencies. A different formulation, efficient only at low frequencies, was also developed but is not very efficient. This paper presents the use of a novel method stable at all frequencies, the Nondirective Stable Plane Wave Multilevel Fast Multipole Algorithm (NSPWMLFMA) [1], in a 3D vectorial Boundary Integral Equation MoM solver, thus enabling efficient simulations at all frequencies.
Family tourists’ emotional responses at world heritage sites (WHSs): the effects of existential authenticity and interpersonal interaction

Purpose The purpose of this study is to investigate family tourists’ emotional responses at world heritage sites (WHSs) by using cognitive appraisal theory (CAT). Design/methodology/approach The online survey was conducted targeting the family tourists who had travel experience at Pingyao Ancient City, a United Nations Educational, Scientific and Cultural Organization world heritage destination in Northern China. Findings Data analysis with 347 family tourists to the site, via structural equation modeling analysis, revealed that existential authenticity (i.e. intrapersonal and interpersonal authenticity) and family interpersonal interaction help evoke emotional experience, which generates family cohesion and storytelling behavior as responses. Originality/value This study results contribute to an existing body of literature on the ability of CAT to illustrate how emotional experience forms in the context of family tourism at WHSs. The study also provides a clear understanding on how to elicit emotions among family tourists at heritage destinations.
AN APPROACH FOR PATHOLOGICAL CONSTRAINTS IDENTIFICATION AND FEASIBILITY RECOVERY OF REACTIVE OPTIMIZATION USING INTERIOR POINT METHOD

In this paper, the reason of reactive optimizing failure with large-scale power networks is discussed. A practical relaxed optimal power flow model (RelaxOPF) is presented to restore the solvability of reactive optimization solved by interior point method. In this model, pathological constraints which caused failure of OPF can be identified during optimizing; the problem is restored by minimum relaxation introduced into those pathological constraints. Numerical results of IEEE testing system and actual power networks show that the proposed method is feasible and practical.
Evidence-Based Assessment in Special Education Research: Advancing the Use of Evidence in Assessment Tools and Empirical Processes

Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We advance EBA in three sections in this article. First, we describe an empirically grounded framework, the Operations Triad Model (OTM), to inform EBA decision-making in the articulation of relevant educational theory. Originally designed for interpreting mental health assessments, we describe features of the OTM that facilitate its fusion with educational theory, namely its falsifiability. In turn, we cite evidence to support the OTM's ability to inform hypothesis generation and testing, study design, instrument selection, and measurement validation. Second, we describe quality indicators for interpreting psychometric data about measurement tools, which informs both the development and selection of measures and the process of measurement validation. Third, we apply the OTM and EBA to research in special education in two contexts: (a) empirical research for causal explanation and (b) implementation science research. We provide open data resources to advance measurement validation and conclude with future directions for research.
Research on Image Denoising Based on Wavelet Adaptive Threshold

Using wavelet transform to filter noises on image is a very effective method. The smoothing effect is not very good of traditional wavelet image denoising algorithm,and the image detail precision isn't high enough,even false Gibbs phenomenon can be produced.Aimming at the phenomenon,an improved multi-scale adaptive threshold method of image denoising based on wavelet transformation has been proposed. According to the characteristics of the image wavelet decomposition,this method can determine the better threshold of different layers' coefficient for denoising after wavelet decomposition,then process the high frequency coefficient of each layer with appropriate threshold function to achieve denoising effect. The experimental results show that,compared with traditional methods,this method can effectively remove Gaussian white noise and further improve the peak signal-to-noise ratio,while well preserving image details.
Detecting Intensity of Anxiety in Language of Student Veterans with Social Anxiety Using Text Analysis

Abstract Approximately one-third of the veteran population suffers from post-traumatic stress disorder, a mental illness that is often co-morbid with social anxiety disorder. Student veterans are especially vulnerable as they struggle to adapt to a new, less structured lifestyle with few peers who understand their difficulties. To support mental health experts in the treatment of social anxiety disorder, this study utilized machine learning to detect anxiety in text transcribed from interviews with patients and applied topic modeling to highlight common stress factors for student veterans. We approach our anxiety detection task by exploring both deep learning and traditional machine learning strategies such as transformers, transfer learning, and support vector classifiers. Our models provide a tool to support psychologists and social workers in treating social anxiety. The results detailed in this paper could also have broader impacts in fields such as pedagogy and public health. 1
Response to comments on: Comparison of the effectiveness of amblyopia treatment with eye-patch and binocular Occlu-tab for the same treatment duration

Cite this article as: Handa T. Response to comments on: Comparison of the effectiveness of amblyopia treatment with eye‐patch and binocular Occlu‐tab for the same treatment duration. Indian J Ophthalmol 2023;71:2322. This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution‐NonCommercial‐ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non‐commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
Comparative Analysis of Visual Shape Features for Applications to Hand Pose Estimation

Being able to determine the pose of a hand is an important task for an artificial agent in order to facilitate a cognitive system. Hand pose estimation, in particular because of its highly articulated nature, from is essential for a number of applications such as automatic sign language recognition and robot learning from demonstration. A typical essential hand model is formulated using around 30-50 degrees of freedom, implying a wide variety of possible configurations with a high degree of self occlusions leading to ambiguities and difficulties in automatic recognition. In addition, we are often interested in using a passive sensor, as a camera, to extract this information. These properties of hand poses warrant robust, efficient and consistent visual shape descriptors which can be utilized seamlessly for automatic hand pose estimation and hand tracking. A conducive view of the environment for its probabilistic modeling, is to perceive it as being controlled from an underlying unobserved latent variable. Given the observations from the environment (hand images) and the features extracted from them, it is interesting to infer the state of this latent variable which controls the generating process of the data (hand pose). It becomes essential to investigate the generative methods which produce hand images from well defined poses and the discriminative inverse problems where a hand pose need be recognized from an observed image. Central to both these paradigms is also the need to formulate a measure of goodness for comparing high dimensional data and separately for examining a model tailored for some data. In this project, three prototypical state-of-the-art visual shape descriptors, commonly used for hand and human body pose estimation are evaluated. The nature of the mappings from the hand pose space to the feature spaces spanned by the visual shape descriptors, in terms of the smoothness, discriminability, and generativity of the pose-feature mappings, as well as their robustness to noise in terms of these properties are studied. Based on this, recommendations are given on which types of applications each visual shape descriptor is suitable. Novel goodness measures are devised to quantify data similarities and to provide a scale for the performance of these visual shape descriptors. The evaluation of the experiments provides a basis for creating novel and improved models for hand pose estimation.
Revocable Anonymous Off-Line E-Cash Scheme Without TTP

The E-cash schemes that are revocable anonymous with the help of trusted third party cause additional costs and the level of anonymity is uncertain.Kulger et al adopted auditable tracing to control deanonymization without trusted third party (TTP),but the users have to audit the tracing frequently.Combining Cameni sch et al' s method of inserting mark with proof and Abe et al 's partial blind signature,a new revocable anonymous off-line E-cash scheme without TTP i s proposed.In this scheme the bank demands users to decrypt the mark of the coin when tracing is needed so that the user and coin can be linked together and the n user is certain about tracing.So the scheme resolves the problem of the E-cas h anonymity control without TTP simply and practically.
Culture notes in ‘Bahasaku 1: Ayo bicara bahasa Indonesia’

Language and culture are two things that are closely related to each other. The purpose of this study is to describe the cultural notes presented in the book "Bahasaku 1: Ayo Bicara Bahasa Indonesia". The research method used in this study is descriptive qualitative with a content analysis approach. The data source in this study was the book 'Bahasaku 1: Ayo Bicara Bahasa Indonesia' compiled by the Indonesian Language Institute Kursul Alam, Yogyakarta. Data were analyzed in five stages, namely compiling notes, disassembling data, rearranging based on data, interpreting, and drawing conclusions. Based on the results of the data analyses, it can be concluded that the cultural notes in the book My Language 1: Let's Talk Indonesian can be grouped into eight categories, namely: 1) greetings; 2) eating habits; 3) rubber watch; 4) small talks; 5) mudik; 6) coutercies of guests and hosts; 7) beach suits and the myth of Nyai Roro Kidul; and 8) 'kiri' in the context of public transportation. The cultural notes in the book "Bahasaku 1: Ayo Bicara Bahasa Indonesia" belonging to Alam Bahasa Indonesia have been well organized. The cultural notes in this textbook are not only specifically listed in the "Cultural Notes" section at the end of each lesson, but, they are also integrated well into every text in the lesson. My language book 1 contains clear concepts and understandings that can accurately describe the cultures that have developed in the Indonesian society.Keywords: culture notes, textbook, foreign language, cultural understanding, BIPA
Analysis of the Flexing Phenomenon in Social Media from a Hadith Perspective with a Psychological Approach

Flexing, or showing off wealth, has become a new phenomenon that has caused a stir on social media. This study aims to discuss flexing from the perspective of hadith. This study uses a qualitative approach by applying a descriptive-analytical method. The formal object of this research is a psychological approach by analyzing the hadith matan. The material object of this research is the phenomenon of flexing behaviour on social media. The results of this study indicate that flexing behaviour is strictly forbidden based on the hadith narrated by Abu Dawud No. 3511. The discussion of this study explains that flexing is done when a person has insecurity about himself. Flexing practitioners tend to have emotional intelligence: awareness, empathy, self-regulations, and low social skills. Real rich people never flaunt their wealth, so people flexing their wealth mean they are not really rich. The wealth of the heart is not from material things but is in a heart full of empathy.
Trace of Positive Integer Power of Real 2 × 2 Matrices

The purpose of this paper is to discuss the theorems for the trace of any positive integer power of 2 × 2 real matrix. We obtain a new formula to compute trace of any positive integer power of 2 × 2 real matrix A, in the terms of Trace of A (TrA) and Determinant of A (DetA), which are based on definition of trace of matrix and multiplication of the matrixn times, where n is positive integer and this formula gives some corollary for TrAn when TrA or DetA are zero.
A DC programming approach for a class of bilevel programming problems and its application in Portfolio Selection

In this paper, we consider a class of bilevel programming problems where the upper objective function is convex quadratic while the lower objective function and the constraints are linear. The problem is first rewritten as minimizing a convex quadratic function subject to linear constraints and one concave constraint. Then, we use an exact penalty technique to reformulate the problem as a DC program. Afterward, DCA, an efficient algorithm in nonconvex programming, is developed to solve the resulting problem. For globally solving the problem, we combine DCA with a Branch and Bound algorithm (BB-DCA). DCA is applied to compute upper bounds, while lower bounds are calculated via a DC relaxation of the DC constraint. The proposed algorithms, DCA and BB-DCA, are compared with the Branch-and-Bound algorithm without DCA (BB) on random data. The numerical results show that the proposed algorithms are efficient. Finally, we consider an application of portfolio selection problems with the historical data related to the prices in the market of France, Luxembourg, United States and England during the period 2000-2007. The experimental results confirm the efficiency and the rapidity of DCA.
PAI-1 Overexpression in Valvular Interstitial Cells Contributes to Hypofibrinolysis in Aortic Stenosis

Aortic stenosis (AS) is associated with hypofibrinolysis, but its mechanism is poorly understood. We investigated whether LDL cholesterol affects plasminogen activator inhibitor 1 (PAI-1) expression, which may contribute to hypofibrinolysis in AS. Stenotic valves were obtained from 75 severe AS patients during valve replacement to assess lipids accumulation, together with PAI-1 and nuclear factor-κB (NF-κB) expression. Five control valves from autopsy healthy individuals served as controls. The expression of PAI-1 in valve interstitial cells (VICs) after LDL stimulation was assessed at protein and mRNA levels. PAI-1 activity inhibitor (TM5275) and NF-κB inhibitor (BAY 11-7082) were used to suppress PAI-1 activity or NF-κB pathway. Clot lysis time (CLT) was performed to assess fibrinolytic capacity in VICs cultures. Solely AS valves showed PAI-1 expression, the amount of which was correlated with lipid accumulation and AS severity and co-expressed with NF-κB. In vitro VICs showed abundant PAI-1 expression. LDL stimulation increased PAI-1 levels in VICs supernatants and prolonged CLT. PAI-1 activity inhibition shortened CLT, while NF-κB inhibition decreased PAI-1 and SERPINE1 expression in VICs, its level in supernatants and shortened CLT. In severe AS, valvular PAI-1 overexpression driven by lipids accumulation contributes to hypofibrinolysis and AS severity.
Adaptive correction procedure for TVL1 image deblurring under impulse noise

For the problem of image restoration of observed images corrupted by blur and impulse noise, the widely used TVL1 model may deviate from both the data-acquisition model and the prior model, especially for high noise levels. In order to seek a solution of high recovery quality beyond the reach of the TVL1 model, we propose an adaptive correction procedure for TVL1 image deblurring under impulse noise. Then, a proximal alternating direction method of multipliers (ADMM) is presented to solve the corrected TVL1 model and its convergence is also established under very mild conditions. It is verified by numerical experiments that our proposed approach outperforms the TVL1 model in terms of signal-to-noise ratio (SNR) values and visual quality, especially for high noise levels: it can handle salt-and-pepper noise as high as 90% and random-valued noise as high as 70%. In addition, a comparison with a state-of-the-art method, the two-phase method, demonstrates the superiority of the proposed approach.
Exploration of the Genetic Diversity and Differentiation of Craspedacusta sowerbyi in Guizhou Province

To understand the genetic diversity and genetic differentiation status of Craspedacusta sowerbyi Lankester, 1880 in Guizhou Province, genetic diversity and genetic structure analyses of three geographical populations of C. sowerbyi in Guizhou Province were performed using the results of PCR amplification and direct sequencing based on the mitochondrial DNA COI gene. Sixty-two individuals displayed four haplotypes, and the overall haplotype diversity (Hd) and nucleotide diversity (Pi) of the three C. sowerbyi groups were 0.531 and 0.00067, respectively. Analysis of molecular variance (AMOVA) showed that inter- and intrapopulation variation accounted for 41.63039% and 58.36961%, respectively, of the total variation, and the genetic variation coefficient (F st ) was 0.05268. The gene flow (Nm) values between the three C. sowerbyi populations were <1. The results of neutrality, Fu’s Fs and Tajima’s D tests did not show significant negative values. The overall nucleotide diversity of the three C. sowerbyi populations in Guizhou Province was low, especially in the Xiuwen County population, the genetic variation mainly occurred within the populations.
Homogenization of Periodic Masonry Using Self-Consistent Scheme and Finite Element Method

Masonry is a heterogeneous anisotropic continuum, made up of the brick and mortar arranged in a periodic manner. Obtaining the effective elastic stiffness of the masonry structures has been a challenging task. In this study, the homogenization theory for periodic media is implemented in a very generic manner to derive the anisotropic global behavior of the masonry, through rigorous application of the homogenization theory in one step and through a full three-dimensional behavior. We have considered the periodic Eshelby self-consistent method and the finite element method. Two representative unit cells that represent the microstructure of the masonry wall exactly are considered for calibration and numerical application of the theory.
Détails sur la convergence instationnaire d'un algorithme de navigation magneto-inertielle

On reprend ici les notations usuelles de la navigation magneto-inertielle (MINAV, c.f. Dorveaux, E. Navigation magneto-inertielle : principes et application a un syst eme po-dometrique indoor, Th ese MINES ParisTech, 2011). On note X le vecteur d'´ etat comprenant le champ magnetique percu B (estime), et la vitesse V (dans le referentiel engin ou porteur) estimee. On note Ω le vecteur rotation entre le referentiel porteur et le referentiel inertiel initial. On note J la Jacobienne du champ magnetique percu lors du deplacement. Les grandeurs surmontees d'un sont les variable d'erreur entre les valeurs estimees et les vraies grandeurs. Demani ere generale , avec deux gains l 1 et l 2 choisis pour faire converger l'observateur, on a les equations suivantes regissant les variables d'erreurs. ˙ ˜ X = −Ω(t) − l 1 J(t)J(t) T J(t) −l 2 J(t) T −Ω(t) ˜ X = ˜ A(t) ˜ X Naturellement, la matrice definie ci-dessus A depend du temps. Pour analyser la convergence de l'observateur, on introduit une fonction de Lyapounov candidate W (˜ X) = 1 2 ˜ B 2 + 1 2l 2 ˜ V 2 dont la derivee le long des trajectoires est ˙ W = −l 1 ˜ B T J(t)J(t) T ˜ B = −l 1 ˜ X T ˜ C T (t) ˜ C(t) ˜ X avec C = [J(t) T 0] Pour garantir la convergence des estimees vers les vrais valeurs il faut que le syst eme lineaire instationnaire precedent converge vers 0. Or, ceci n'est pas automatiquement garanti par la simple negativite de la derivee de ˙ W. Comme cela est connu (voir par exemple Khalil, " Nonlinear systems " , MacMillan 1992 page 326-325), une hypoth ese supplementaire est requise. Pour utiliser l'esprit du principe d'invariance de LaSalle, il faut que l'ensemble o` u la derivee de la fonction de Lyapounov candidate est nulle soit caracterise par une condition d'observabilite uniforme. Avec les notations precedentes , il importe que la paire (˜ A(t), ˜ C(t)) soit uniformement observable. Cette notion etend la notion usuelle d'observabilite dans le cas instationnaire (cad lorsque les matrices dependent du temps). Si cette condition est garantie, alors on peut conclure. C'est une condition suffisante.