Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Process Mining to determine the relevance and impact of performing optional quizzes before evaluative assessments

Different data mining techniques are commonly used to extract behavioural patterns from activity logs. However, they often offer static views and lack interpretability. In this paper, we describe the procedure for obtaining meaningful learning processes for a Maths course based on Moodle logs. Log data is transformed into process models in order to be analysed. We use the method described to specifically analyse the potential relevance and detailed impact of performing non-evaluative assessments before evaluation tests on a mathematics online university course. Our preliminary results outline statistical-ly significant differences between those students who practice before submitting evaluative tests and those who decide to proceed to evaluation directly. Besides this particular result, the process can be expanded to detect behavioural patterns and differences in learning processes among groups of students, in particular, in online learning scenarios.
Dynamic Modeling and Simulation of a Rotational Inverted Pendulum

This paper presents an alternative way to the dynamic modeling of a rotational inverted pendulum using the classic mechanics known as Euler-Lagrange allows to find motion equations that describe our model. It also has a design of the basic model of the system in SolidWorks software, which based on the material and dimensions of the model provides some physical variables necessary for modeling. In order to verify the theoretical results, It was made a contrast between the solutions obtained by simulation SimMechanics-Matlab and the system of equations Euler-Lagrange, solved through ODE23tb method included in Matlab bookstores for solving equations systems of the type and order obtained. This article comprises a pendulum trajectory analysis by a phase space diagram that allows the identification of stable and unstable regions of the system. stability of ships and submarines, iBot, Self-balancing unicycle; construction, bridge cranes; and field monitoring, drones.
Identification of Series Arc Fault Occurred in the Three-Phase Motor With Frequency Converter Load Circuit via VMD and Entropy-Based Features

Series arc fault (SAF) is the main cause of the electrical fire and other safety accidents. In the industrial field, now, it is still a lack of effective solutions to accurately identify the SAF that occurred in the three-phase motor with the frequency converter load (TPMFCL) circuit. The transient SAF experiments and two-phase SAF experiments in the TPMFCL circuit were carried out. A novel SAF identification method based on variational mode decomposition (VMD) of a single-phase current signal and entropy-based features was proposed. First, the current signal is decomposed by VMD. The intrinsic mode function (IMF) components whose central frequency is within the frequency band between 0 and 650 Hz are obtained. Second, the sample entropy and the energy entropy of those IMFs are calculated and used as the fault features. Finally, the SAF is identified by using a support vector machine optimized by firefly algorithm (FA-SVM). Both the identification accuracy and calculation time of the method were systematically tested by changing several different test conditions. When the sampling frequency is 2 kHz and the sample length is four current cycles, the method can accurately and quickly identify the SAF that occurred in the TPMFCL circuit even under complicated harmonic power supply conditions. The conclusions can be applied to develop the industrial arc fault circuit interrupter (AFCI) used in the TPMFCL circuit.
Antarctica's vegetation in a changing climate

Antarctica plays a central role in regulating global climatic and oceanographic patterns and is an integral part of global climate change discussions. The functioning of Antarctica's terrestrial ecosystems is dominated by poikilohydric cryptogams such as lichens, bryophytes, eukaryotic algae, and cyanobacteria and there are only two native species of vascular plants. Antarctica's vegetation is highly adapted to the region's extreme conditions but, at the same time, it is potentially highly susceptible to climatic fluctuations. Biological responses to shifts in temperature, water availability, wind patterns, snow, and ice cover are complex, taxa‐specific and act on different temporal and spatial scales. In maritime Antarctica, where warming and mass loss of outlet glaciers have been mainly observed, the vegetation is expected to show increases in productivity, abundance, and cover. In continental Antarctica, observational and experimental evidence is still sparse, but it is pointing toward even drier and harsher conditions for survival. We need more information on what the observed and predicted changes in Antarctic vegetation are for different regions and ecosystems. This will inform us how environmental change and human impact will shape the future of these ecosystems, and whether the speed and magnitude of change have habitat‐specific effects and implications. Antarctica's unique ecosystems are changing and in this review, we describe the current situation, tools to measure, and evaluate change and how change is likely to look in the future.
Novel Virtual Winding Current Controller for Suppression of Linear Permanent Magnet Machine Electromagnetic Thrust Ripple

Thrust force ripple, including no-load detent force and electromagnetic thrust ripple, worsens the precision of linear permanent magnet machine (LPMM) control system. Asymmetrical current injection algorithm has been proposed for the suppression of electromagnetic thrust ripple, and the key point of the algorithm is positive- and negative-sequence (PNS) current closed-loop control. To achieve better steady-state and dynamic performance, a novel high-bandwidth current controller is proposed in this article. A dual three-phase control system composed of three-phase virtual winding and the three-phase LPMM is introduced. According to the dual three-phase topology, PNS components are decoupled by a novel coordinate transformation, and the proposed controller avoids the use of filters or sophisticated algorithms for extraction of PNS currents. Experimental results based on a linear Vernier permanent magnet machine are presented. It verifies that the asymmetrical current control strategy based on the novel PNS current controller reduces electromagnetic thrust ripple by more than 60% compared with symmetrical three-phase current control.
The Local Group and other neighboring galaxy groups

Over the last few years, rapid progress has been made in distance measurements for nearby galaxies based on the magnitude of the tip of red giant branch stars. Current CCD surveys with HST and large ground- based telescopes bring ∼ 10%-accurate distances for roughly a hundred galaxies within 5 Mpc. The new data on distances to galaxies situated in (and around) the nearest groups: the Local Group, M81 group, CenA/M83 group, IC342/Maﬀei group, Sculptor ﬁlament, and Canes Venatici cloud allowed us to determine their total mass from the radius of the zero- velocity surface, R 0 , which separates a group as bound against the homogeneous cosmic expansion. The values of R 0 for the virialized groups turn out to be close each other, in the range of 0.9 – 1.3 Mpc. As a result, the total masses of the groups are close to each other, too, yielding total mass-to-blue luminosity ratios of 10 – 40 M ⊙ /L ⊙ . The new total mass estimates are 3 – 5 times lower than old virial mass estimates of these groups. Because about half of galaxies in the Local Volume belong to such loose groups, the revision of the amount of dark matter (DM) leads to a low local density of matter, Ω m ≃ 0 . 04, which is comparable with the global baryonic fraction Ω b , but much lower than the global density of matter, Ω m = 0 . 27. To remove the discrepancy between the global and local quantities of Ω m , we assume the existence of two diﬀerent DM components: 1) compact dark halos around individual galaxies and 2) a non-baryonic dark matter “ocean” with Ω dm 1 ≃ 0 . 07 and Ω dm 2 ≃ 0 . 20, respectively. individual Milky Way, M31, M81, Cen A, M83, IC 342, 1,
PENINGKATAN KEUNGGULAN BERSAING MELALUI PENGEMBANGAN MODEL GOOD CORPORATE GOVERNANCE & CORPORATE SOCIAL RESPONSIBILITY PADA SUBHOLDING PERTAMINA HULU ENERGI REGIONAL 1

The increasingly fierce business competition in the current era of globalization, also the high risk that can be caused by the operational activities of companies engaged in oil and gas both to internal and external parties, plus the social problems that can arise from the operational activities of oil and gas companies due to public dissatisfaction have encouraged companies to has a valuable competitive advantage and solves such complex problems, including for Sub holding of Pertamina Hulu Energy regional 1 which is located on Sumatera Island which is famous for being rich in oil and gas, but in reality the poverty rate of the population around the company's operational activities is still very high. For this reason, this research was carried out using GCG and CSR variables as predictors of competitive advantage, where researchers conducted instructions on the variables through the dimensions of each latent variable that would be tested into the research model. The research was conducted for 9 months starting from January to September 2022, using a quantitative approach, survey method and the analysis method using structural equation model (SEM) PLS. The number of indicators used in this study were 32 indicators. The sampling technique used is simple random sampling of 160 respondents to people and community around the company's operational activities. The results show that 32 indicators used in the model have good validity and reliability. The goodness of fit results from the model built have a good predictive relevance with coefficient of determination for economic dimension is 63.3%, while the environmental dimension is 72.3%, the social dimension is 62.9%, and competitive advantage is 81.7 %. The results of the Q2 and GoF index show the model has a high level of model fitness. The results of the fifteen hypotheses proposed in this study are accepted, show the importance of managing the GCG and CSR dimensions to increase competitive advantage of the company
A method for extracting maximum resolution power spectra from galaxy surveys

The power spectrum estimated from a galaxy redshift survey is the real spectrum convolved with a window function, so when estimating the power on very large scales (for small k), it is important that this window function be as narrow as possible. A method that achieves this is presented. The optimal estimate of P(k) is found to be the Fourier transform of the number density fluctuations (n/nbar - 1) weighted by a function psi_0, and the optimal psi_0 is found to be the ground-state solution of the Schoedinger equation, with the inverse selection function as the potential. This quantum mechanics analogy occurs basically because we want the weight function to be narrow both in Fourier space (to give a narrow window) and in real space (to minimize the variance from shot noise). An optimal method for averaging the estimates at different k-vectors is also presented, generalizing the standard procedure of averaging over shells in k-space. Finally, a discrete version of the method is presented, dividing space into ``fuzzy pixels", which has the advantage of being able to handle redshift distortions in a straightforward way.
Some spherical gravitational waves in general relativity

Einstein's equations for empty space are solved for the class of metrics which admit a family of hypersurface-orthogonal, non-shearing, diverging null curves. Some of these metrics may be considered as representing a simple kind of spherical, outgoing radiation. (Among them are solutions admitting no Killing field whatsoever.) Examples of solutions to the Maxwell-Einstein equations with a similar geometry are also given.
Solid-Phase Extraction and Characterization of Quercetrin-Rich Fraction from Melastoma malabathricum Leaves

This study was focused on the recovery of quercetrin from the crude extract of Melastoma malabathricum leaves using the technique of solid-phase extraction. The process variables and their ranges were screened using one-factor-at-a-time and statistically optimized using the response surface methodology. The results found that 9.13 mg/mL of crude extract required 18.24 mL of 70.5% methanol as the eluent to yield an 86.6% w/w fraction containing 36.02 mg/g of quercetrin. The process increased quercetrin from 1% w/w in the crude extract to 4% w/w in the fraction. Quercetrin was likely to be the compound contributing to antiradical and antidiabetic activities. In silico simulation showed that quercetrin had low binding energy and mostly bound with charged (Glu and Arg) and aromatic (Tyr and Phe) amino acids via hydrogen bonds. Its inhibitory progress against DPP-IV was faster than crude extract at low concentration (<100 µg/mL).
Robust and fast scale-invariance feature transform match of large-size multispectral image based on keypoint classification

Abstract. Scale-invariance feature transform (SIFT)–based algorithms often suffer from false matches of keypoints while being utilized to register multispectral remote sensing images. It is even worse for the registration of large water areas due to the lack of keypoints and high similarity of textures in such regions. To tackle these problems, a robust and fast SIFT match algorithm for multispectral image registration based on keypoint classification is proposed. This algorithm establishes match candidates through classifying the keypoints based on their scale spaces, where the keypoint matching is restricted on the same scale group. To obtain an accurate scale group, the ground sampling distance of images to be registered is normalized, while the initial scale ratio is estimated, relying upon the seed matches. Furthermore, for refining the match candidates and improving the matching robustness on water areas of the image, the keypoints are classified into keypoints of the land region (L-KPs) and keypoints of the water area (W-KPs). The L-KPs of the match candidates with sparse region on the two-dimensional representation of the location offset are excluded by the iterative bivariate histogram, and then the average location offset of the correct land matches is employed to exclude the outliers of the candidates associated with the W-KPs. Meanwhile, to reduce the computational cost, the images to be registered are divided into corresponding overlapped blocks, providing parallel computing and local rectification. Experiments were conducted on large-size remote sensing images at different resolutions and the results demonstrate the effectiveness of the proposed approach.
Asymptotic Normality in the Generalized Polya–Eggenberger Urn Model, with an Application to Computer Data Structures

In the generalized Polya–Eggenberger urn model, an urn initially contains a given number of white and black balls. A ball is selected at random from the urn, and the number of white and black balls added to (or taken away from) the urn depends on the color of the ball selected. Let $w_n $ be the random variable giving the number of white balls in the urn after n draws. A sufficient condition is derived for the asymptotic normality, as $n \to \infty $, of the standardized random variable corresponding to $w_n $. This result is then used for estimating the computer memory requirements of the 2-3 tree, a well-known computer data structure for storage organization.
Design and Performance Research of a New Dual-Excitation Uniform Eddy Current Probe

A dual-excitation uniform eddy current probe, composed of two excitation coils placed tangentially and one detection coil placed horizontally, is developed to solve the difficulties of detection rate and direction recognition of crack defect. Firstly, a probe simulation model is established using COMSOL Multiphysics, and the differences of eddy current distribution between the dual-excitation probe and the traditional probe are investigated. Then, the influence of the distance between excitation coils on sensitivity and the test capability for crack defects with different depths and directions are investigated. Besides, the sensitivity of the dual-excitation probe is compared to that of the traditional probe made of the same coils. Finally, a physical probe and an experimental system are developed, and the performance of the dual-excitation probe is tested. The experimental results show that the probe developed in this paper exhibits a slightly higher sensitivity than the traditional probe for crack defects with different depths in the range of 0.5 mm–4.0 mm; the measurement accuracy of crack length is about 3.0 mm and can avoid missing detection of crack defects with different directions. In testing, the detection signal can be compensated to achieve precision measurement by identifying the angle of crack defects. This dual-excitation uniform eddy current probe can be used for precise quantification and direction identification of crack defect in eddy current testing.
Meson Electroweak Interactions in Multicolor Quantum Chromodynamics

This PhD Thesis is mainly devoted to the study of hadronic matrix elements of kaons. Its inner structure can be divided in three parts. In Chapter 3 we address the issue of quantum corrections in Resonance Chiral Lagrangians with the aid of the 1/N_c expansion. We compute, as an illustrative example, the coupling L_10 to one loop. Chapters 4 and 5 are the main body of the present work and deal with the determination of the relevant parameters in kaon phenomenology. We give a value for the invariant B_K, the kaon mass difference and \epsilon_K in a model-independent way, paying special attention to the issue of scale and scheme independence. In our approach, this is achieved in a very natural way once matching between long and short distances is ensured. We end up with a final chapter on the subject of duality violations in the VV-AA two-point correlator.
Surface resistance imaging with a scanning near-field microwave microscope

We describe near-field imaging of sample sheet resistance via frequency shifts in a resonant coaxial scanning microwave microscope. The frequency shifts are related to local sample properties, such as surface resistance and dielectric constant. We use a feedback circuit to track a given resonant frequency, allowing measurements with a sensitivity to frequency shifts as small as two parts in 106 for a 30 ms sampling time. The frequency shifts can be converted to sheet resistance based on a simple model of the system.
\b{eta}-KMS Green functions generating functionals - the convexity based approach

The notion of the stochastically positive \b{eta}-KMS (Euclidean time ) Green functionals on ( the abelian sectors of ) the CCR-algebras in Weyl form has been introduced . The main observation is that the essential properties of such functionals are stable against taking convex superpositions of them. Starting from the free Bose matter describing functionals( the condensed state situation is included as well) a constructive approach to the constructions of a new ,of such type functionals is presented. In particular , starting from the free Bose matter Green functionals a class of not quasi-free thermal functionals, together with the corresponding modular structures have been constructed. Some elementary properties of models constructed are being presented.
The external field effect on the opinion formation based on the majority rule and the q-voter models on the complete graph

We investigate the external field effect on opinion formation based on the majority rule and $q$-voter models on a complete graph. The external field can be considered as the mass media in the social system, with the probability $p$ agents following the mass media opinion. Based on our Monte Carlo simulation, the mass media effect is not strong enough to make the system reach a homogeneous state (complete consensus) with the magnetization $m = 1$ for all values of $p$, indicates that the existence of a usual phase transition for all values of $p$. In the $q$-voter model, the mass media eliminates the usual phase transition at $p \approx 0.21$. We obtain the model's critical point and scaling parameters using the finite-size scaling analysis and obtain that both models have the same scaling parameters. The external field effect decreases both models' relaxation time and the relaxation time following the power-law relation such as $\tau \sim N^{\beta}$, where $N$ is the population size, and $\beta$ depends on the probability $p$. In the majority rule model, $\beta$ follows a linear relation, and in the $q$-voter model, $\beta$ follows a power-law relation.
SNARC EFFECTS FOR POSITIVE AND NEGATIVE NUMBERS REPRESENTING TEMPERATURE

Previous experiments suggest that the direction of SNARC is fixed for numbers based onoverlearned reading and writing habits. Our experiments show that in the context oftemperature, the direction of SNARC is dependent on instruction such that fasterresponses were always associated with the most extreme temperature. In our threeexperiments, participants were required to pick the warmer or colder digit from pairsrepresenting relatively high or low temperatures. Presentation of pairs and responseswere horizontal in Experiment 1 but vertical in Experiments 2, and 3. An instructiondependentSNARC effect occurred such that responses to the “ coldest” and “warmest”pairs were always fastest to the right, in the horizontal experiment, and fastest in anupward direction in the vertical experiments. These experiments suggest that the mentalnumber line does extend past zero for negative numbers and the orientation of the line isreversible based on instruction.
A conceptual framework for discrete inverse problems in geophysics

In geophysics, inverse modelling can be applied to a wide range of goals, including, for instance, mapping the distribution of rock physical parameters in applied geophysics and calibrating models to forecast the behaviour of natural systems in hydrology, meteorology and climatology. A common, thorough conceptual framework to define inverse problems and to discuss their basic properties in a complete way is still lacking. The main goal of this paper is to propose a step forward toward such a framework, focussing on the discrete inverse problems, that are used in practical applications. The relevance of information and measurements (real world data) for the definition of the calibration target and of the objective function is discussed, in particular with reference to the Bayesian approach. Identifiability of model parameters, posedness (uniqueness and stability) and conditioning of the inverse problems are formally defined. The proposed framework is so general as to permit rigorous definitions and treatment of sensitivity analysis, adjoint-state approach, multi-objective optimization.
Computational Search for Ultrasmall and Fast Skyrmions in the Inverse Heusler Family

Skyrmions are magnetic excitations that are potentially ultrasmall and topologically protected, thus making them interesting for high-density all-electronic ultrafast storage applications. While recent experiments have confirmed the existence of various types of skyrmions, their typical sizes are much larger than traditional domain walls, except at very low temperature. In this article, we explore the optimal material parameters for hosting ultrasmall, fast, and room temperature stable, isolated Neel (hedgehog) skyrmions. As concrete examples, we explore potential candidates from the inverse Heusler family. Using first-principles calculations of structural and magnetic properties, we identify several promising ferrimagnetic inverse Heusler half-metal/near half-metals and analyze their phase space for size and metastability.