Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Service-Oriented Architecture-Based Microservices Management as a Data Integration Service (Case Study: Udayana University)

Udayana University has developed numerous information systems to accommodate all types of academic and non-academic activities. Because the process of retrieving data from other systems still employs the traditional method with a joint scheme between databases, the resulting data quality becomes increasingly inaccurate over time. Some systems have also established simple web services that do not adhere to the Restful API authoring rules. Based on these issues, modifications were made to the data integration process using Microservices Management, Service Oriented Architecture, and OAuth 2.0 as the security protocol. The results indicate that the microservices management system is highly effective and efficient for improving process performance, has a low risk level, a good control test validation of 93,33 %, and a usability grade of B, indicating that the system is deemed good and usable.
EMG Based Clinical Evaluation of an Unpowered Exoskeleton Device

This paper reports a clinical study to characterize reduction in load on the major muscles of the back by use of an unpowered, lightweight, protective and therapeutic exoskeleton device named JaipurBelt that supports the spine and waist. Seventy nine subjects underwent Institutional Ethical Committee approved clinical trial at Santokba Durlabhji Memorial Hospital (SDMH), Jaipur, India. The protocols used for this study incorporate without device without load (WOJBWOL), without device with load (WOJBWL), with device without load at a medium level of support (WJBMidWOL), with device with load at a medium level of support (WJBMidWL), with device with load at a maximum level of support (WJBMaxWL). The EMG was recorded from six major back muscles. The result showed that, average reduction of muscle activity in all six muscles for Stoop Bending Up (SBU) is about 7.62%, and for Stoop Bending Down (SBD) is about 12.19% in without load condition. In with load condition and maximum level of support (WJBMaxWL), the overall maximum reduction of muscle activity was 80.97% for Ninth Thoracic Vertebra of Erector Spine (EST9), 44.39%. for Fourth Lumbar Vertebra of Erector Spine (ESL4), 24.62% for Multifidus (MF), 10.18% for Quadratus Lumborum (QL), 37.54% for Gluteus maximus (GM), 40.23% for Rectus Femoris (RF). In this clinical study, with the use of this unpowered exoskeleton device, it was found that there is a substantial reduction in muscle force requirements for load lifting, frequent bending ups, bending down and stooping activities by reducing the load from back and abdominal muscles. Thus, use of this device can potentially helps in reducing the risk of lower back disorders, fatigue, musculoskeletal problems, spinal disorders like slip disc and associated pain. This study was conducted after registration with Central trial register of India (CTRI registration number CTRI/2017/01/007649dtd 16/01/2017).
Multiatom tensor orthogonal matching pursuit algorithm for compressive-sensing–based hyperspectral image reconstruction

Abstract. Tensor greedy algorithms are widely used in the compressive sensing of multidimensional data such as hyperspectral (HS) images. However, due to their single-atom selection approach, the traditional tensor greedy algorithms sometimes cannot provide a satisfactory speed. We propose an algorithm, containing two modes, to select multiatoms instead of selecting a single atom during each iteration. The first one is an intuitive mode which means to select a fixed number of atoms in each iteration, in order to speed up the reconstruction. As an improvement, we develop the second mode in which the number of selected atoms for each iteration decreases gradually. A larger number of atoms is selected in the former iterations aiming to obtain enough speed while a smaller number in later iterations aims to guarantee the reconstruction accuracy. We have also studied the effect of parameters in the algorithm on reconstruction and determined the proper parameter ranges. The performance of the proposed algorithm is verified by both synthetic data and HS image simulations. Moreover, we compare the proposed algorithm with a traditional tensor greedy algorithm, demonstrating that the reconstruction speed is greatly improved without compromising accuracy.
Stop criteria for proof load tests verified with field and laboratory testing of the Ruytenschildt Bridge

As the existing bridge stock is aging, improved assessment methods such as proof load testing become increasingly important. Proof load testing involves large loads, and as such the risk for the structure and personnel can be significant. To capture the structural response, extensive measurements are applied to proof load tests. Stop criteria, based on the measured quantities, are used to identify when further loading in a proof load test is not permitted. For proof load testing of buildings, stop criteria are available in existing codes. For bridges, recently stop criteria based on laboratory tests on beams reinforced with plain bars have been proposed. Subsequently, improved stop criteria were developed based on theoretical considerations for bending moment and shear. The stop criteria from the codes and the proposed stop criteria are compared to the results from field testing to collapse on the Ruytenschildt Bridge, and to the results from laboratory tests on beams sawn from the Ruytenschildt Bridge. This comparison shows that only a small change to the stop criteria derived from laboratory testing is necessary. The experimental evidence strengthens the recommendation for using the proposed stop criteria in proof load tests on bridges for bending moment, whereas further testing to confirm the stop criteria for shear is necessary.
A New MPPT Controlling Mechanism based on Adaptive Mongoose Optimization (MO) Algorithm for Grid-PV Systems

Recent years have seen a rise in the use of solar Photovoltaic (PV) systems in numerous application systems because of their effectiveness and affordability. One of the main challenges is producing the maximum energy from PV panels under various environmental circumstances. In order to achieve the highest energy output, numerous optimization-based MPPT controlling systems have been devised in traditional works. Low convergence, computational complexity, the length of time required to discover the optimum solution, and inefficiency are major drawbacks. In order to put a recently created optimization technique called Mongoose Optimization (MO) for MPPT regulating into practise that is the aim of this study. With superior tracking efficiency and enhanced speed, it facilitates obtaining the maximum power from the PV panels. Moreover, a bi-directional converter is employed to control PV output while decreasing switching stress and loss. Also, the voltage source inverter is employed to lower harmonic distortion levels in order to guarantee improved power quality. Performance study evaluates and compares the simulation outcomes and the efficacy of the suggested regulating architecture using a variety of metrics.
VARIAÇÃO ANATÔMICA RADIAL DO LENHO DE AÇOITA-CAVALO (Luehea divaricata) E SUA INFLUÊNCIA NA DENSIDADE APARENTE

Variações entre as dimensões e frequências das células da madeira existem entre espécies diferentes, entre indivíduos da mesma espécie ou ainda dentro da mesma árvore nas direções radial e axial. Essa variação influencia diretamente na densidade aparente e consequentemente no uso das diferentes madeiras. O presente estudo determinou a variação anatômica radial e sua influência na densidade aparente no lenho de árvores de Luehea divaricata , a partir de amostras coletadas no DAP, por meio de método destrutivo. Para a avaliação anatômica e da densidade aparente foram empregadas técnicas usuais em anatomia e propriedades físicas da madeira e os dados tratados estatisticamente. Os resultados revelaram que o diâmetro dos vasos, espessura da parede das fibras e a densidade aparente foram significativamente menores na região da medula, já o lume das fibras foi significativamente maior nesta região, que também apresentou raios mais volumosos. Sugere-se que fibras com paredes mais finas e raios com maior volume na região da medula contribuíram de forma determinante para os menores valores de densidade aparente.
Distribution of multiband THz wireless signals over fiber

Terahertz wireless communication is receiving great interest from researchers and industries, thanks to the new spectral windows between 0.1 and 1 THz offering opportunities for ultra-high-data-rate wireless transmission. Wavelength division multiplexing for wireless-over-fiber is foreseen as an enabling technique to support connection between base stations and a central station. This paper reviews architectures for photonic distribution and generation of multiband signals for sub- THz wireless communications, giving rates up to 100 Gb/s (20 Gb/s per band) using the full spectrum between 220 GHz and 280 GHz for downlink wireless transmission, and 10 Gb/s for uplink using on-off keying.
Advances in magnetic resonance imaging reconstruction methods incorporating prior knowledge

In magnetic resonance (MR) imaging it is usually assumed that the acquired data represent samples of the Fourier transform of the object. However, there are many cases where this assumption is violated due to system imperfections, subject motion and deliberate undersampling in an effort to reduce scan times. This can lead to artefacts in the reconstructed images. In this thesis two emerging clinical applications of MRI are considered: hybrid PET-MR imaging and coronary MR angiography (CMRA). Factors giving rise to substantial deviations from the basic Fourier model in these cases are described and methods to reduce artefacts by incorporating additional information into the reconstruction are presented. This information is either in the form of additional measurements, or as sparsity priors. Two major limitations of current techniques for PET attenuation correction using ultrashort echo-time MRI are addressed: Artefacts due to eddy currents and prohibitively long scan times. To account for eddy currents the use of a magnetic field camera to measure the true k-space trajectories is proposed. The method is demonstrated in numerical and tissue phantoms and in vivo cranial imaging of healthy volunteers. Parallel imaging and compressed sensing are then explored to accelerate the acquisition. A method to improve motion correction for CMRA is also proposed based on a novel image navigation scheme. This method uses a golden radial trajectory, which provides both high-temporal-resolution translational and low-temporalresolution affine motion estimates from the same navigator data. The approach is demonstrated in healthy volunteers, leading to improved depiction of the coronary arteries compared to when correcting only for translational motion. Furthermore, the proposed method gives rise to a predictable and reduced scan time compared to a gated diaphragmatic navigator scan, while maintaining a high image quality. The advances in the reconstruction that are proposed in this thesis help to tackle some of the major problems with UTE-based attenuation correction for PET and with CMRA. The proposed methods help to bring these emerging applications of MRI towards routine clinical practice.
HYBRID INVERSION OF INTERVAL VELOCITIES IN MULTISCALE APPROACH

ABSTRACT. The understanding of the interior of the planet by using the seismic method of reflection requires knowledge of the velocities with which the seismic waves propagate in the subsurface of the Earth. This work presents strategies to obtain the velocity intervals using RMS velocity inversion. Using a hybrid algorithm that combines the Very Fast Simulated Annealing (VFSA) global optimization method and the Fletcher-Reeves local search method, we have sought to reduce the dependence between the accuracy of the results and the model by which the optimization process begins. The main innovative contribution of this study was the development and presentation of the named inversion strategy of multiscale parameters. This technique allows the use of the VFSA method in inversion problems in which the number of variables is significantly large. The hybrid algorithm with multiscale approach was used to solve 1D and 2D problems, estimating models with high degrees of accuracy, which allowed to confirm the efficiency of the proposed method. Keywords : inversion, parameter multiscale, interval velocity, Very Fast Simulated Annealing, Fletcher-Reeves, hybrid. RESUMO. O entendimento do interior do planeta por meio do metodo sismico de reflexao requer o conhecimento das velocidades com que as ondas sismicas se propagam na subsuperficie da Terra. Este trabalho apresenta estrategias para a obtencao das velocidade intervalares por uso inversao de velocidades RMS. Utilizando um algoritmo hibrido, que combina o metodo de otimizacao global Very Fast Simulated Annealing (VFSA), e o metodo de busca local Fletcher-Reeves, buscou-se reduzir a dependencia entre a acuracia dos resultados e o modelo pelo qual o processo de otimizacao se inicia. A principal contribuicao inovadora deste estudo foi o desenvolvimento e apresentacao da estrategia de inversao nomeada de multiescala de parâmetros. Esta tecnica possibilita o uso do metodo VFSA em problemas de inversao em que o numero de variaveis e significativamente grande. O algoritmo hibrido com abordagem multiescala foi usado para solucionar problemas 1D e 2D, estimando modelos com elevado grau de acuracia, o que permitiu confirmar a eficiencia do metodo proposto. Palavras-chave : inversao, multiescala de parâmetros, velocidade intervalar, Very Fast Simulated Annealing, Fletcher-Reeves, hibrido.
Depth-resolved charge reconstruction at the 
LaNiO3/CaMnO3
 interface

Author(s): Chandrasena, RU; Flint, CL; Yang, W; Arab, A; Nemsak, S; Gehlmann, M; Ozdol, VB; Bisti, F; Wijesekara, KD; Meyer-Ilse, J; Gullikson, E; Arenholz, E; Ciston, J; Schneider, CM; Strocov, VN; Suzuki, Y; Gray, AX | Abstract: © 2018 American Physical Society. Rational design of low-dimensional electronic phenomena at oxide interfaces is currently considered to be one of the most promising schemes for realizing new energy-efficient logic and memory devices. An atomically abrupt interface between paramagnetic LaNiO3 and antiferromagnetic CaMnO3 exhibits interfacial ferromagnetism, which can be tuned via a thickness-dependent metal-insulator transition in LaNiO3. Once fully understood, such emergent functionality could turn this archetypal Mott-interface system into a key building block for the above-mentioned future devices. Here, we use depth-resolved standing-wave photoemission spectroscopy in conjunction with scanning transmission electron microscopy and x-ray absorption spectroscopy, to demonstrate a depth-dependent charge reconstruction at the LaNiO3/CaMnO3 interface. Our measurements reveal an increased concentration of Mn3+ and Ni2+ cations at the interface, which create an electronic environment favorable for the emergence of interfacial ferromagnetism mediated via the Mn4+-Mn3+ ferromagnetic double exchange and Ni2+-O-Mn4+ superexchange mechanisms. Our findings suggest a strategy for designing functional Mott oxide heterostructures by tuning the interfacial cation characteristics via controlled manipulation of thickness, strain, and ionic defect states.
Minimum Cross Fuzzy Entropy Problem, The Existence of Its Solution and Generalized Minimum Cross Fuzzy Entropy Problems

In the present study we have formulated a Minimum Cross Fuzzy Entropy Problem (Minx(F)EntP) and proposed sufficient conditions for existence of its solution. Mentioned problem can be formulated as follows. In the set of membership functions satisfying the given moment constraints generated by given moment functions it is required to choose the membership function that is closest to a priori membership function in the sense of cross fuzzy entropy measure. The existence of solution of formulated problem is proved by virtue of concavity property of cross fuzzy entropy measure, the implicit function theorem and Lagrange multipliers method. Moreover, Generalized Cross Fuzzy Entropy Optimization Methods in the form of MinMinx(F)EntM and MaxMinx(F)EntM are suggested on the basis of primary phase of minimizing cross fuzzy entropy measure for fixed moment vector function and on the definition of the special functional with Minx(F)Ent values of cross fuzzy entropy measure. Next phase for obtaining mentioned distributions consists of optimization of defined functional with respect to moment vector functions. Distributions obtained by mentioned methods are defined as (MinMinx(F)Ent)m and (MaxMinx(F)Ent)m distributions.
Large-Deflection Beam Model for Schematic-Based Behavioral Simulation in NODAS

MEMS design in NODAS is based on a geometrically intuitive schematic representation of MEMS using a small set of atomic elements (anchors, beams, plates and electrostatic gaps), each of which is associated with a geometrically parameterized lumped behavioral model. A linear beam model is unsuitable for simulation of devices where the beam deflection is large or where axial stress exists in the beam. Due to the complexity of the nonlinear beam mechanics, exact analytical solutions are generally unavailable. A nonlinear beam model for behavioral simulation is presented, which captures the geometric nonlinearity caused by large axial stress and large deflection. Very good agreement of the NODAS simulation results of example problems with available analytical solutions and with FEA simulation results verifies the model accuracy.
Contributions to stochastic control with nonlinear expectations and backward stochastic differential equations

This thesis consists of two independent parts which deal with stochastic control with nonlinear expectations and backward stochastic differential equations (BSDE), as well as with the numerical methods for solving these equations.We begin the first part by introducing and studying a new class of backward stochastic differential equations, whose characteristic is that the terminal condition is not fixed, but only satisfies a nonlinear constraint expressed in terms of "f - expectations". This new mathematical object is closely related to the approximative hedging of an European option, when the shortfall risk is quantified in terms of dynamic risk measures, induced by the solution of a nonlinear BSDE. In the next chapter we study an optimal stopping problem for dynamic risk measures with jumps.More precisely, we characterize in a Markovian framework the minimal risk measure associated to a financial position as the unique viscosity solution of an obstacle problem for partial integrodifferential equations. In the third chapter, we establish a weak dynamic programming principle for a mixed stochastic control problem / optimal stopping with nonlinear expectations, which is used to derive the associated PDE. The specificity of this work consists in the fact that the terminal reward does not satisfy any regularity condition (it is considered only measurable), which was not the case in the previous literature. In the next chapter, we introduce a new game problem, which can be seen as a generalized Dynkin game (with nonlinear expectations ). We show that this game admits a value function and establish sufficient conditions ensuring the existence of a saddle point . We prove that the value function corresponds to the unique solution of a doubly reected backward stochastic equation (DRBSDE) with a nonlinear general driver. This characterization allows us to obtain new results on DRBSDEs with jumps. The generalized Dynkin game is finally addressed in a Markovian framework.In the second part, we are interested in numerical methods for doubly reected BSDEs with jumps and irregular barriers, admitting both predictable and totally inaccesibles jumps. In the first chapter we provide a numerical scheme based on the penalisation method and the approximation of the solution of a BSDE by a sequence of discrete BSDEs driven by two independent random walks (one approximates the Brownian motion and the other one the compensated Poisson process). In the second chapter, we construct an alternative scheme based on the direct discretisation of the DRBSDE, scheme which presents the advantage of not depending anymore on the penalization parameter. We prove the convergence of the two schemes and illustrate the theoretical results with some numerical examples.
Statistically Optimized Tacrolimus and Thymoquinone Co-Loaded Nanostructured Lipid Carriers Gel for Improved Topical Treatment of Psoriasis

The aim of this investigation was to develop and analyze a tacrolimus and thymoquinone co-loaded nanostructured lipid carriers (TAC-THQ-NLCs)-based nanogel as a new combinatorial approach for the treatment of psoriasis. The NLCs were formulated by an emulsification-solvent-evaporation technique using glyceryl monostearate, Capryol 90 (oil), and a mixture of Tween 80 and Span 20 as a solid lipid, liquid lipid, and surfactant, respectively. Their combination was optimized using a three-factor and three-level Box–Behnken design (33-BBD). The optimized TAC-THQ-NLCs were observed to be smooth and spherical with a particle size of 144.95 ± 2.80 nm, a polydispersity index of 0.160 ± 0.021, a zeta potential of −29.47 ± 1.9 mV, and an entrapment efficiency of >70% for both drugs. DSC and PXRD studies demonstrated the amorphous state of TAC and THQ in the lipid matrix of the NLCs. An FTIR analysis demonstrated the excellent compatibility of the drugs with the excipients without interactions. The TAC-THQ-NLC-based nanogel (abbreviated as TAC-THQ-NG) exhibited a good texture profile and good spreadability. The in vitro release study demonstrated a sustained drug release for 24 h from the TAC-THQ-NG that followed the Korsmeyer–Peppas kinetic model with a Fickian diffusion mechanism. Moreover, the TAC-THQ-NG revealed significantly higher dose-dependent toxicity against an HaCaT cell line compared to a TAC-THQ suspension gel (abbreviated as TAC-THQ-SG). Furthermore, the developed formulations demonstrated antioxidant activity comparable to free THQ. Confocal microscopy revealed improved permeation depth of the dye-loaded nanogel in the skin compared to the suspension gel. Based on these findings, it was concluded that TAC-THQ-NG is a promising combinatorial treatment approach for psoriasis.
Specific optimal control using stochastic approximation

SPECIFIC OPTIMAL CONTROL USING STOCHASTIC APPROXIMATION by Loyd E. Tarver, Jr. This thesis is concerned with the solution of a specific optimal control problem. Because of the effect of the initial state of a system on the solution, it is desired to obtain a specific optimal controller which will be optimum in a welldefined sense for a region of initial states. The problem is formulated by first assuming the initial state to be a random variable. Then the "stochastic optimal controller" is defined as the set of constant parameters which minimizes the expected value with respect to the initial state of a suitably chosen performance index. The method of stochastic approximation is proposed as a means of solution; however, it is shown that the theory of stochastic approximation as it now exists cannot be directly applied to the problem. Modifications of the theory which will allow solutions to be obtained are then pro¬ posed. The validity of these modifications has been verified by numerical experimentation, although an analytical verifica¬ tion has not been made. Both linear and nonlinear systems may be treated in this formulation. In cases where the expected value of the performance in¬ dex may not be a good criterion function, the specific optimal controller for the worst-case initial state or input signal can be used as an alternative design. This min-max problem is discussed, and numerical examples are presented.