Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship Servant Leadership Based on Matthew 20:26-28 and Enthusiasm to Serve with Faith Growth of Online Worship Congregation at the Player Towers of All Nations Ministry

The Research aims to determine the relationship between servant leadership Mat. 20:26-28, and the spirit of service with the growth of faith in the online worship All Nations Prayer Tower Jakarta. Leaders who have the heart of a servant are a must and absolute when carrying out activities for the benefit of the people and the spirit of service will greatly support church leadership to reach congregations for online worship so that they play a greater role in creating faith growth and maintaining Christianity in the church. Research method used is descriptive quantitative with correlational techniques. The results of the study show a very strong one-way correlation of 0.903 between servant leadership and faith growth in online congregations. Enthusiasm to serve has a correlation of 0.771 with the growth of faith in online worship congregations. Even when these two variables are combined, there is a stronger one-way correlation of 0.905 for the spiritual development of the Jakarta All Nations Prayer Tower online congregation. The conclusion from the research is that servant leadership and service spirit are closely related and specifically needed for the growth of the faith of the Jakarta All Nations Prayer Tower Online Congregation, especially in their enthusiasm for carrying out their daily lives. Online worship. This means that church leaders must be able to have the heart of a servant for the benefit of the people in advancing the spiritual development of the congregation for online worship, the Jakarta All Nations Prayer Tower.
RELATIONSHIPS BETWEEN ARM SPAN AND THE MECHANICS OF THE ONE-REPETITION MAXIMUM TRADITIONAL AND CLOSE-GRIP BENCH PRESS

The traditional bench press (TBP), performed with a grip width that maximizes strength, is a popular exercise for developing the upper-body. The close-grip bench press (CGBP) is a variation of the TBP often used to emphasize the triceps brachii over prime movers such as the pectoralis major. An individual’s arm span (AS; distance between the middle fingers of each hand while the arms are outstretched) could affect the mechanics of each exercise, which may be exacerbated by the change in grip. This study investigated relationships between AS and TBP and CGBP mechanics in resistance-trained men. Twenty-one participants completed a one-repetition maximum (1RM) TBP and CGBP. The TBP was performed with the preferred grip (measured relative to biacromial distance [BAD]), and the CGBP with a grip width of 95% BAD. A linear position transducer measured: lift distance; peak and mean power, velocity, and force; the distance and time when peak power occurred; and work. Pearson’s correlations (r; p < 0.05) computed relationships between AS and TBP and CGBP mechanics. There were significant positive relationships between AS and TBP lift distance and work (r = 0.46 and 0.51, respectively). For the CGBP, there was a significant positive relationship between AS and work (r = 0.48). There were no other significant correlations between AS and lift mechanics. Resistance-trained men with a longer AS may move the bar further and perform more work in the 1RM TBP and CGBP. This could influence how coaches measure training volume, and intensity for individuals with different AS.
Optimization of multi-scale modelling of CNT/polymer composite strain sensors

Carbon nanotube-based composites have been deeply investigated in recent years. CNTs due to their unique physical properties have been employed for various applications in different disciplines of science and engineering. Due to the remarkable electrical conductivity of CNTs, one of practical applications is related to the development of strain sensing smart coatings. Up to now, high sensitivity strain sensors for micro- and macro-scale applications were proposed. However, controlling electro-mechanical properties of those devices is still a challenging issue. In order to facilitate the design process and to investigate multi-domain relationships between sensor's parameters and its properties, numerical models and simulations of CNT-based structures have been carried out with the primary focus on investigation of electrical conductivity for various concentrations of CNTs within the composite material. More accurate and detailed studies include analysis of the influence of deformation on changes in conductivity. However, due to significant microstructural complexity of the system (i.e. large number of CNTs within the structure) multiscale modeling and analysis approach must be employed. The main objective of this paper is to outline an relationships between micro- and macro-structural properties of CNT-based strain sensors and to discuss guidelines for a multiscale electro-mechanical model based on the Representative Volume Element (RVE) concept. The device employs the change in electrical conductivity of a CNT-based nanocomposite under applied deformation. The study investigates the impact of various micro-scale model parameters (e.g. size of an RVE, CNTs parameters etc.), on the macro scale model. Model parameters convergence studies are performed for different geometrical properties of CNTs and for various sizes of RVEs - revealing their critical mutual relationships. Also, the impact of boundary conditions at the micro-scale RVE structure is discussed.
Improved optimization algorithm for proximal point-based dictionary updating methods

Abstract. Proximal K-singular value decomposition (PK-SVD) is a dictionary updating algorithm that incorporates proximal point method into K-SVD. The attempt of combining proximal method and K-SVD has achieved promising result in such areas as sparse approximation, image denoising, and image compression. However, the optimization procedure of PK-SVD is complicated and, therefore, limits the algorithm in both theoretical analysis and practical use. This article proposes a simple but effective optimization approach to the formulation of PK-SVD. We cast this formulation as a fitting problem and relax the constraint on the direction of the k’th row in the sparse coefficient matrix. This relaxation strengthens the regularization effect of the proximal point. The proposed algorithm needs fewer steps to implement and further boost the performance of PK-SVD while maintaining the same computational complexity. Experimental results demonstrate that the proposed algorithm outperforms conventional algorithms in reconstruction error, recovery rate, and convergence speed for sparse approximation and achieves better results in image denoising.
Locally implicit discontinuous Galerkin time-domain methods for electromagnetic wave propagation in biological tissues

This work deals with the time-domain formulation of Maxwell's equations. The main objective is to propose high-order finite element type methods for the discretization of Maxwell's equations and efficient time integration methods on locally refined meshes. We consider Discontinuous Galerkin Time-Domain (DGTD) methods relying on an arbitrary high-order polynomial interpolation of the components of the electromagnetic field. Existing DGTD methods for Maxwell's equations often rely on explicit time integration schemes and are constrained by a stability condition that can be very restrictive on highly refined meshes. To overcome this limitation, we consider time integration schemes that consist in applying an implicit scheme locally i.e. in the refined regions of the mesh, while preserving an explicit scheme in the complementary part. We present a full theoretical study and a comparison of two locally implicit DGTD methods. Numerical experiments for 2D and 3D problems illustrate the usefulness of the proposed time integration schemes. The numerical treatment of complex propagation media is also one of the objectives. We consider the interaction of electromagnetic waves with biological tissues that is of interest to applications in biomedical domain. Numerical modeling then requires to solve the system of Maxwell's equations coupled to appropriate models of physical dispersion. We derive a locally implicit DGTD method for the Debye model and we achieve a full theoretical and numerical analysis of the resulting scheme.
The Relationship between Perceived Social Support and Employability among Preservice Preschool Education Students: The Mediating Effect of Learning Engagement

: Social support is an important source of support for enhancing professional commitment, learning motivation, and employability among preservice students in the field of preschool education. This study utilized relevant scales to explore the mechanisms through which perceived social support influences the employability of preservice students in preschool education. The results indicated a significant positive correlation among perceived social support, learning engagement, and employability. Moreover, perceived social support positively predicted the employability of preservice students in preschool education, and learning engagement partially mediated the relationship between perceived social support and employability.
Prediction of ultimate strength of FRP-confined predamaged concrete using backward multiple regression motivated soft computing methods

Confining structurally deficient concrete columns with externally bonded fiber-reinforced polymer (FRP) has been widely accepted as an effective technology for strengthening the ductility and strength of deficient concrete columns. However, prediction models for damaged and afterward repaired concrete based on soft computing methods are not available for the planning and maintenance of concrete structures. Therefore, this paper adopted two soft computing methods – artificial neural network (ANN) and Gaussian process regression (GPR) – to analyze observations obtained from 103 datasets of concentrically loaded FRP-confined predamaged concrete. The models only consider statistically significant variables with the ultimate strength of FRP-confined predamaged concrete. The statistically significant variables based on the multivariate regression analysis are corner radius ratio, FRP thickness, concrete strength, and damage degree. The coefficient of determination of the developed models is greater than 98% and there is a relatively low error between the measured and predicted values. The results of the current study highlight the merit of using soft computing methods in concrete technology given their extraordinary ability to comprehend multidimensional phenomena of concrete structures with ease and high predictivity over the existing empirical models.
Impacts of Economic Development on the Living Conditions of Ethnic Minority People in the Border Region of Northern Vietnam

Purpose: In this study, we examine the effects of the economic development policies of the Vietnamese government on the living conditions of ethnic minority people in the border region of Northern Vietnam. Theoretical framework: We examine the impact of economic changes, societal changes, and environmental improvements on the living conditions of ethnic minority people in the border region of Northern Vietnam. Design/Methodology/Approach: The collected data was subsequently cleaned and analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM) with the aid of SPSS 20 software. Findings: The results show that the current Vietnamese government’s policies on developing agriculture, industry, trade, and service for ethnic minority people have a diverse impact on their living conditions. In general, agriculture, trade, and service are major fields that benefit the living conditions of ethnic minorities. In contrast, the industry seems to have no effects on improving the standard of living of ethnic minority people in Northern Vietnam. Research, practical & social implications: The results of this study provide suggestion to Vietnamese government on promoting living conditions of ethnic minority people in the border region of Northern Vietnam. Originality/Value: This is the first paper evaluates the impact of the economic development policies of the Vietnamese government on the living conditions of ethnic minority people in the border region of Northern Vietnam.
Boundaries of bounded unstable manifolds in gradient Sturm systems are Schoenflies spheres

Let v be a hyperbolic equilibrium of a smooth finite-dimensional gradient or gradient-like dynamical system. Assume that the unstable manifold W of v is bounded, with topological boundary Σ = ∂W := (closW )\W . Then Σ need not be homeomorphic to a sphere, or to any compact manifold. However, consider the PDE ut = uxx + f(x, u, ux) of gradient Sturm type, i.e. scalar reaction-advection-diffusion equations with separated boundary conditions on a bounded interval. Then the eigenprojection PΣ of Σ onto the unstable eigenspace of v is homeomorphic to a sphere. In particular this excludes complications like lens spaces and Reidemeister torsion. Excluding Schoenflies complications like Alexander horned spheres, we also show that both the interior domain PW of PΣ and the one-point compactified exterior domain in the tangential eigenspace are homeomorphic to open balls. Our results are based on Sturm nodal properties.
Impact of subgrid fluid turbulence on inertial particles subject to gravity

ABSTRACT Two-phase turbulent flows with the dispersed phase in the form of small, spherical particles are increasingly often computed with the large-eddy simulation (LES) of the carrier fluid phase, coupled to the Lagrangian tracking of particles. To enable further model development for LES with inertial particles subject to gravity, we consider direct numerical simulations of homogeneous isotropic turbulence with a large-scale forcing. Simulation results, both without filtering and in the a priori LES setting, are reported and discussed. A full (i.e. a posteriori) LES is also performed with the spectral eddy viscosity. Effects of gravity on the dispersed phase include changes in the average settling velocity due to preferential sweeping, impact on the radial distribution function and radial relative velocity, as well as direction-dependent modification of the particle velocity variance. The filtering of the fluid velocity, performed in spectral space, is shown to have a non-trivial impact on these quantities.
From Black Hole to Qubits: Matrix Theory is a Fast Scrambler

BMN Matrix theory admits vacua in the shape of large spherical membranes. Perturbing around such vacua, the setup provides for a controlled computational framework for testing information evolution in Matrix black holes. The theory realizes excitations in the supergravity multiplet as qubits. These qubits are coupled to matrix degrees of freedom that describe deformations of the spherical shape of the membrane. Arranging the ripples on the membrane into a heat bath, we use the qubit system as a probe and compute the associated Feynman-Vernon density matrix at one loop order. This allows us to trace the evolution of entanglement in the system and extract the characteristic scrambling timescale. We find that this time scales logarithmically with the entropy of the qubit system: that is, we demonstrate that Matrix theory is a fast scrambler, in tune with suggestions by Sekino and Susskind. We thus explicitly identify the first physical model that exhibits fast scrambling – and moreover one that is embedded in string theory. spramodh@g.hmc.edu sahakian@hmc.edu ar X iv :1 41 2. 23 96 v2 [ he pth ] 1 8 D ec 2 01 4
Feeding habits of South American and sub‐Antarctic fur seals during their nonbreeding season in the southwestern Atlantic Ocean

Stomach contents of South American ( Arctocephalus australis ) ( n = 219) (SAFS) and sub-Antarctic ( A. tropicalis ) ( n = 37) (SFS) fur seals were opportunistically sampled from 1980 to 2021 to examine their feeding habits and resource partitioning in southern Brazil while in their nonreproductive periods. SAFSs mainly consumed abundant coastal pelagic species, such as Anchoa marinii and Doryteuthis sanpaulensis , resulting in high sexual trophic niche overlap. The frequency of occurrence (%FO) of fish prey, especially the overexploited Micropogonias furnieri , decreased between 1980 – 1992 and 2007 – 2021, while squid increased. For SFSs, offshore squids such as Ommastrephes bartramii and Illex argentinus were the most important prey considering both sexes in the long-term. The interspecific trophic niche overlap was low, but it is likely underestimated since it increased with the inclusion of scat samples from SFSs. This sample-size effect was also observed in Shannon's diversity index, which was lower for underrepresented SFSs. Marine debris ingestion was detected in both species (SAFS % FO = 2.7; SFS %FO = 8.3), with only flexible plastic material found. This study brings novel information on feeding habits of fur seal species in the extreme south of Brazil, as well as unprecedented information about their ecology during the non-reproductive period.
Children's and Parents' Worries About Online Schooling Associated With Children's Anxiety During Lockdown in Ireland

The COVID-19 pandemic has persisted as a worrying time for children who have been using technology for online schooling during lockdown and their parents. This study investigates the extent of children's and parents' self-reported worries associated with children's anxiety during lockdown in Ireland. Data for 461 children and 461 parents were analyzed from the Ireland dataset obtained as part of the Kids' Digital Lives in COVID-19 Times (KiDiCoTi) international survey. Children reported worries about keeping up with school activities online, getting poor grades, and completing their schoolwork online. Parents reported worries about COVID-19 having a negative influence on their children's education and their children being exposed to more online risks. Children's worries about school explained much of the variance of their anxiety to a significant degree, whereas parents' worries explained that variance to a lesser extent. Implications of these results are discussed in the article. © 2023 (Derek A. Laffan, Seffetullah Kuldas, Beatrice Sciacca, James O'Higgins Norman, and Tijana Milosevic). Licensed under the Creative Commons Attribution Non-commercial No Derivatives (byncnd). Available at http://ijoc.org.
Implications of Warm Pool Bias in CMIP6 Models on the Northern Hemisphere Wintertime Subtropical Jet and Precipitation

Although the multi‐model average compares well with observations, individually most of the latest climate models do not simulate a realistic size of the Indo‐Pacific Warm Pool in the present‐day climate. This study explores the implications of this warm pool size bias in climate models in Northern Hemisphere winter. The warm pool size bias in phase 6 of the Coupled Model Intercomparison Project models is related to the subtropical jet and precipitation distribution, both in the present‐day climate and in response to climate change, through extratropical Rossby wave trains and tropical circulation pathways. Based on these relationships, emergent constraints are developed to observationally constrain the future subtropical jet response over Asia and the Atlantic Ocean and precipitation response over North and Central America, which can help to reduce uncertainty in future projections of these features. Thus, accurate model simulation of the warm pool in the present‐day climate is important for future projections of the subtropical jet and precipitation.
Numerical Investigation Of Fluid-structure Interaction For Long-span Bridge Decks

In this work a simulation model of aeroelastic phenomena for long-span bridges is presented. By the proposed model the aerodynamic field and the structural motion are simulated simultaneously and in a coupled manner. The structure is represented as a bidimensional rigid body with two degrees of freedom, having mass per unit length and mass moment of inertia per unit length equal to those of the deck. The aerodynamic fields are simulated by numerically integrating the Arbitrary Lagrangian-Eulerian (ALE) formulated Unsteady Reynolds-Averaged Navier-Stokes (URANS) equations with a finite volume scheme on moving grids which adapt themselves to the structural motion. The finite volume method is based on high order weighted essentially non-oscillatory (WENO) reconstructions. The time discretisation is performed by a five stage fourth order accurate strong stability preserving Runge-Kutta (SSPRK) method. The URANS equations are completed by the turbulent closure relations which are expressed as a function of the turbulent kinetic energy and the turbulent frequency according to the k- SST approach. The model validation is performed by the comparison between numerical and experimental results. The proposed model is utilised in order to identify the flutter critical wind velocity of the Forth Road Bridge deck, and the numerical results are compared with those of an experimental campaign.
Knowledge-Aided Kaczmarz and LMS Algorithms

The least mean squares (LMS) filter is often derived via the Wiener filter solution. For a system identification scenario, such a derivation makes it hard to incorporate prior information on the system's impulse response. We present an alternative way based on the maximum a posteriori solution, which allows developing a Knowledge-Aided Kaczmarz algorithm. Based on this Knowledge-Aided Kaczmarz we formulate a Knowledge-Aided LMS filter. Both algorithms allow incorporating the prior mean and covariance matrix on the parameter to be estimated. The algorithms use this prior information in addition to the measurement information in the gradient for the iterative update of their estimates. We analyze the convergence of the algorithms and show simulation results on their performance. As expected, reliable prior information allows improving the performance of the algorithms for low signal-to-noise (SNR) scenarios. The results show that the presented algorithms can nearly achieve the optimal maximum a posteriori (MAP) performance.
Analysis and characterisation of momentum and thermal wakes of elliptic cylinders

Non-canonical wakes of two-dimensional elliptic cylinders are analysed numerically for their near- and far-wake characteristics. The governing equations are solved using an immersed boundary method based projection scheme. The wakes are then classified into three distinct types according to diverse flow and thermal properties. An unexpected mean temperature evolution along the centreline of the wake is observed for certain wake states. In order to explain this unusual variation, novel heat transport models are constructed based on the vortex dynamics. These models are derived by considering vorticity is acted by flow, which has shear and swirl. Mechanisms of the primary vortex street breakdown and formation of the secondary vortex street are also proposed based on these models. A new phenomenon namely ‘dual near-wall instantaneous recirculation’ is observed, and its appearance is found to be a function of length of the primary von Kármán vortex street. The same phenomenon is also found to be responsible for the secondary peak in the Nusselt number variation along the circumference of the cylinder. Despite varied differences between the wake types, it is observed that the transitions occur through a supercritical Hopf bifurcation in all of them, at least in the von Kármán region of the wake. Low-frequency unsteadiness observed in the far wakes is examined through a signal decomposition method. Our results show that the secondary low frequency is resulting from the transition region which has a negative instability slope. Finally, onset of the primary vortex street breakdown and its scale in terms of Reynolds number is computed.