Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of CAT in Indonesia School: Current Challenges & Strategies

Another problem is student readiness. Computer-based measurement models continue to develop from the Computer Base Test (CBT) to the Computer Adaptive Test (CAT). Accurate measurement of student abilities is needed in the exam process. The use of paper and pencil test (PBT) and CBT is not maximal in providing student ability results so it requires a CAT model measurement approach. This paper describes the challenges and strategies to overcome all obstacles in applying CAT in the cognitive, psychological and technological aspects of knowledge. The purpose of this research is to analyze school challenges and strategies in implementing the Computer Adaptive Test (CAT). This research is qualitative phenomenology. Data were collected through interviews with 10 participants in Yogyakarta Indonesia. Research participants are Prokor teachers at Junior High School (SMP) and High School (SMA). Data analysis is done by describing the data qualitatively using the reduction analysis in the form of identification of statements, determination of theme category, and reduction. The results showed that the school should provide facilities that support CAT, ensure the smooth and stability of the internet and electrical connections, conduct continuous human resources training, give students training and motivation and set up budget management for CAT implementation. By implementing this strategy, the effectiveness of CAT implementation in Indonesia can be improved.
Ultra small‐angle scattering of neutrons from vanadium—hydrogen systems

Perfect crystal small-angle scattering with channel-cut crystals is used for investigations of the α ⟷ (α + β) phase transition in V-H and V-D systems. Characteristic hysteresis effects of several degrees are observed between the heating and cooling cycles. The thickness of the plate-shaped hydride precipitates is of the order of mm. From the beam attenuation in the forward direction, the total scattering cross section is deduced. It can be described by an anisotropic harmonic oscillator model for the motion of hydrogen and deuterium in the vanadium lattice. Mit einer Perfektkristall-Kleinwinkelstreukamera wird der α ⟷ (α + β)-Phasenubergang in V-H und V-D untersucht. Charakteristische Hystereseeffekte von einigen Graden werden zwischen Kuhl- und Heizzyklen beobachtet. Die Auswertung der Ergebnisse erbringt plattenformige Ausscheidungen mit typischen Abmessungen von einigen mm. Durch die extrem hohe Winkelauflosung kann der totale Wirkungsquerschnitt in Vorwartsrichtung extrahiert werden. Weiter kann dadurch gezeigt werden, das die Bewegung der Wasserstoff- und Deuteriumatome im Vanadiumgitter mit einem anharmonischen Oszillatormodell gut beschrieben werden kann.
Robust Multiobjective Optimization via Evolutionary Algorithms

Uncertainty inadvertently exists in most real-world applications. In the optimization process, uncertainty poses a very important issue and it directly affects the optimization performance. Nowadays, evolutionary algorithms (EAs) have been successfully applied to various multiobjective optimization problems (MOPs). However, current researches on EAs rarely consider uncertainty in the optimization process and existing algorithms often fail to handle the uncertainty, which have limited EAs’ applications in real-world problems. When MOPs come with uncertainty, they are referred to as robust MOPs (RMOPs). In this paper, we aim at solving RMOPs using EA-based optimization search. We propose a novel robust multiobjective optimization EA (RMOEA) with two distinct, yet complement, parts: 1) multiobjective optimization finding global Pareto optimal front ignoring disturbance at first and 2) robust optimization searching for the robust optimal front afterward. Furthermore, a comprehensive performance evaluation method is proposed to quantify the performance of RMOEA in solving RMOPs. Experimental results on a group of benchmark functions demonstrate the superiority of the proposed design in terms of both solutions’ quality under the disturbance and computational efficiency in solving RMOPs.
Utilisation du caséinate de sodium pour la fabrication de films actifs pour l’emballage alimentaire : étude des propriétés barrières aux gaz, de l’activité antimicrobienne et de la biodégradabilité

La mondialisation des marches, les changements d’habitudes de consommation et les preoccupations croissantes concernant la securite alimentaire et l’environnement sont des elements moteurs pour le developpement des films d’emballage comestibles/biodegradables antimicrobiens. Une utilisation en masse de ce type de film est dependante principalement des verrous technologiques car le mode de fabrication actuellement utilise pour ce genre de film consiste a utiliser un procede (voie solvant) qui n’est pas toujours adapte a une production importante et continue. L’etude presentee ici permet de montrer la possibilite d’obtenir des films comestibles antimicrobiens a partir de caseinate de sodium en utilisant les procedes traditionnels de la plasturgie : extrusion bi-vis et extrusion-gonflage. Grâce aux optimisations des parametres d’elaboration tels que la temperature de transformation, le taux de cisaillement et le taux de plastifiant, les materiaux contenant un agent actif naturel : le lysozyme, la nisine ou la natamycine ont garde en partie leurs activites antimicrobiennes. Par des caracterisations mecaniques et physico-chimiques des films thermoplastiques, il a ete demontre que ces films ont des proprietes mecaniques et barrieres similaires a ceux fabriques par voie solvant. Ces proprietes dependent principalement du taux de plastifiant. Ainsi, il est possible de fabriquer des films comestibles antimicrobiens de caseinate de sodium avec de bonnes proprietes mecaniques et barrieres qui ne sont pas affectees par la transformation thermomecanique et qui peuvent etre adaptees en fonctions des applications en variant le taux de plastifiant
A Class of Sixth Order Viscous Cahn-Hilliard Equation with Willmore Regularization in ℝ3

The main purpose of this paper is to study the Cauchy problem of sixth order viscous Cahn–Hilliard equation with Willmore regularization. Because of the existence of the nonlinear Willmore regularization and complex structures, it is difficult to obtain the suitable a priori estimates in order to prove the well-posedness results, and the large time behavior of solutions cannot be shown using the usual Fourier splitting method. In order to overcome the above two difficulties, we borrow a fourth-order linear term and a second-order linear term from the related term, rewrite the equation in a new form, and introduce the negative Sobolev norm estimates. Subsequently, we investigate the local well-posedness, global well-posedness, and decay rate of strong solutions for the Cauchy problem of such an equation in R3, respectively.
Animal Sound Classification Using Dissimilarity Spaces

The classifier system proposed in this work combines the dissimilarity spaces produced by a set of Siamese neural networks (SNNs) designed using four different backbones with different clustering techniques for training SVMs for automated animal audio classification. The system is evaluated on two animal audio datasets: one for cat and another for bird vocalizations. The proposed approach uses clustering methods to determine a set of centroids (in both a supervised and unsupervised fashion) from the spectrograms in the dataset. Such centroids are exploited to generate the dissimilarity space through the Siamese networks. In addition to feeding the SNNs with spectrograms, experiments process the spectrograms using the heterogeneous auto-similarities of characteristics. Once the similarity spaces are computed, each pattern is “projected” into the space to obtain a vector space representation; this descriptor is then coupled to a support vector machine (SVM) to classify a spectrogram by its dissimilarity vector. Results demonstrate that the proposed approach performs competitively (without ad-hoc optimization of the clustering methods) on both animal vocalization datasets. To further demonstrate the power of the proposed system, the best standalone approach is also evaluated on the challenging Dataset for Environmental Sound Classification (ESC50) dataset.
Soft-Charging Effects on a High Gain DC-to-DC Step-up Converter with PSC Voltage Multipliers

−This paper proposes a split-phase control diagram for a new design of a DC-to-DC boost converter which is called PSCboost and studies its performance. The PSC-boost has two sides, the primary is a PSC converter and the secondary is a DC-to-DC boost converter. The effect of applying the split-phase control diagram helps reduce the output impedance successfully and increases efficiency by 3%. The simulated and analytical results have been proven to validate the effect of the split-phase diagram. The simulated design contains five switches, five capacitors, seven diodes, and three inductors to step up 10V into 160V at 200KHz and 100KHz switching frequencies. The LTspice simulator was used to design and test the proposed model. Keywords-PSC-boost converter; split-phase diagram; SC converters; LTspice
Factors Affecting Length of Stay in Pediatric Emergency Department in Zagazig University Hospital

Background: Emergency medicine now is recognized as an essential part of public health service. As the services provided by emergency departments (EDs) increase and the management process becomes more complicated, patients stay in EDs for longer periods and EDs become more crowded. A number of studies have discussed the adverse impacts of ED crowding, which include prolonged waiting times, increased complications, and increased mortality. Objective: The aim of this work was to analyze factors affecting length of stay (LOS) in the pediatric ED. Patients and methods: This Cross-sectional study was conducted in the Pediatric Emergency Unit of Zagazig University Hospitals, from July 2019 until December 2019. Assuming that rate of admission of children in Emergency Department is 200 cases/month, so a comprehensive sample of 1200 children was included in the study. Results: The age of the studied cases ranged from 1 month to 12 years with mean 3.62 years. Regarding sex, 53.4% were female. In our study, the 43.8% of patients were discharged from the ED in the current study. This study showed that 71.8% of the studied cases came to hospital from 9 am to 9 pm. There was no statistically significant difference between length of stay and sex. In the present study, mean value of length of stay (hours) was low among discharged patients (0.20 ± 0.59) than admitted patients (0.51± 0.58). Conclusion: We concluded that several factors are associated with high average emergency department LOS. High LOS may lead to increases in expenditures and may have implications for patient safety, whereas certain organizational changes, communication improvement, and time management may have a positive effect on it.
The fossil record of Icacinaceae in Australia supports long-standing Palaeo-Antarctic rainforest connections in southern high latitudes

ABSTRACT Fossil fruits of Icacinaceae are recorded from two Cenozoic sites in Australia, at Launceston in northern Tasmania and the Poole Creek palaeochannel in northern South Australia, representing the first report of fossil Icacinaceae from Australia. The Launceston material includes two endocarps with broad surface pits/tubercles and is referred to Palaeophytocrene. It is interpreted to have a minimum middle to late Eocene age. Two specimens are recorded from the Poole Creek palaeochannel; a mid-Miocene or middle Eocene age is possible for this site, but the older age (middle Eocene) is considered more likely. These specimens represent partial endocarps, one documenting the wall thickness and internal structures of the endocarp, and the other documenting the morphology and dimensions of the endocarp surface pits. The combination of characters shown by these fossils is unique among extant and fossil Icacinaceae genera, warranting the recognition of a new genus, Manchesteria gen. nov. These fossils document an early Cenozoic history for the Phytocreneae (Icacinaceae) in Australia and provide additional evidence that the family was broadly distributed during the globally warm Eocene. Along with recently documented African and South American fossil records, these fossils indicate a significant but little understood Gondwanic history for the family.
Flowerlike hybrid horseradish peroxidase nanobiocatalyst for the polymerization of guaiacol

In this study, the catalytic activity and stability of flowerlike hybrid horseradish peroxidase (HRP) nanobiocatalyst (HRP-Cu 2+ ) obtained from Cu 2+ ions and HRP enzyme in the polymerization reaction of guaiacol were analyzed. We demonstrated that HRP-Cu 2+ and hydrogen peroxide (H 2 O 2 ) initiator showed significantly increased catalytic activity and stability on the polymerization of guaiacol compared to that of free HRP enzyme. Poly(guaiacol) was observed with quite high yields (88%) and molecular weights (38,000 g/mol) under pH 7.4 phosphate-buffered saline (PBS) conditions at 60 °C with 5 weight% of HRP-Cu 2+ loading. HRP-Cu 2+ also shows very high thermal stability and works even at 70 °C reaction temperature; free HRP enzyme denatures at that temperature. Furthermore, HRP-Cu 2+ provided considerable repeated use and showed some degree of catalytic activity, even after the fourth recycle, in the polymerization of guaiacol.
Models of concurrent program running in resource constrained environment

The paper considers concurrent program modeling using resource constrained automatons. Several software samples are considered: real time operational systems, video processing including object recognition, neural network inference, common linear systems solving methods for physical processes modeling. The source code annotating and automatic extraction of program resource constraints with the help of profiling software are considered, this enables the modeling for concurrent software behavior with minimal user assistance.
Two-Stage Crystal-Growth Kinetics Observed during Hydrothermal Coarsening of Nanocrystalline ZnS

Crystal growth during hydrothermal coarsening of mercaptoethanol-capped nanocrystalline ZnS occurs via a two-stage process. In the first stage, the primary particle quickly doubles in volume. The initial growth rate can be fitted by an asymptotic curve that cannot be explained by any existing power-law dependence kinetic model developed for more coarsely crystalline material. High-resolution transmission electron microscope (HRTEM) data indicate that crystal growth within spherical nanoparticle aggregates occurs via crystallographically specific oriented attachment, despite the presence of surface-bound organic ligands. The size stabilizes for a period of time that depends on the coarsening temperature. In the second stage, following the dispersal of nanoparticles, an abrupt transition from asymptotic to cubic parabola growth kinetics occurs. The crystal growth data can be fitted by a standard Ostwald ripening volume diffusion model consistent with growth controlled by the volume diffusion of ions in solution. However, HRTEM data indicate that oriented attachment-based growth occurs in the early part of the second stage, followed by a significant reduction in aggregate surface topography, probably via surface diffusion as well as volume diffusion. We propose a new kinetic model based on oriented attachment-based growth to explain the asymptotic growth in the first stage of coarsening. The presence of surface-bound organic ligands may control the aggregation state of the nanoparticles and may permit an almost exclusive crystallographically specific oriented attachment-based growth to dominate in the first stage.
Towards automated grape vine pruning: Learning by example using recurrent graph neural networks

Vine pruning in vineyards is an important canopy management activity. It requires skill and experience to perform well and poor pruning results in low yield and can have a long‐term effect on the productivity of the vine. Automated systems usually rely on simplified pruning rules that need to be specified before operation and largely prune all vines in the same way. This is not a realistic approach and limits the pruning quality. We propose a step toward an automated system that can learn pruning behavior from expert examples without the need for explicit pruning rules. By using a novel neural network architecture we train a classifier that can choose which canes should be pruned and which should be kept. We show that the classifier can learn simple pruning rules without prior knowledge and show how this can be used as part of an automated system. The system is robust to vines that are more complex and diverse than those it was trained on and shows potential for future models to be pretrained using synthetic data and fine tuned on a minimal set of expertly pruned vines.
Highly Enantioselective Michael Addition of 2-Fluoro-1,3-diketones to Nitroalkenes

Highly enantioselective Michael addition of 2-fluoro-1,3 diketones to nitroalkenes was developed, and the desired adducts were obtained in good chemical yields with moderate to good diastereoselectivties and excellent enantioselectivities. Subsequent stereoselective reduction of the carbonyl groups led to the preparation of a functionalized fluoroisostere of glycerol that contains four continuous stereogenic centers.
Enhancing Citizen Satisfaction Through Service Quality of E-Government in Thailand: Mediating Roles of Perceived Ease of Use and Usefulness

The aim of the study was to know the impact of service quality of E-Government (EG) on citizen satisfaction (CS). The aim was also to know the mediating roles of Perceived Usefulness of E-Government (PUEG). This study was conducted in Thailand. Out of the total 298 respondents of this research, 124 respondents were male, and 174 respondents were females, which means that majority of the respondents were females. Out of the total 298 respondents of this research, 23 of the respondents had completed their graduation, 143 respondents had completed their post-graduation, 122 respondents had completed their masters and ten respondents had other degrees. It has shown that how the perceived usefulness has helped the E-Government in different ways to be a part of the innovation and bringing new variations to the system. This can only be seen in effectiveness and cooperation of the general public which is a must for any system to run properly. The mediating role has added value and content to Citizenship and user satisfaction to the system. The ongoing processes of E-Government has gained vital interest of the general public which are ready to invest in self grooming so that they can be a part of online system introduced by the state.
The volt-time characteristics of oil-impregnated paper insulation in the submicrosecond and microsecond regime

The dielectric breakdown of oil-impregnated paper insulation was studied. Fast-front step voltages and standard lightning impulses were used to determine the breakdown volt-time characteristics of the insulation. Breakdown time lags in the submicrosecond range were obtained with the fast-front voltages. A model was proposed for the breakdown time lag probabilities. The model relies on charge injection from the cathode followed by the generation of intense local fields arising from structural fluctuations within the dielectric. The parameters for the probability functions were estimated from the fast-front measurements, and the limiting probability envelopes were derived for the standard lightning impulses. Satisfactory agreement was observed between the calculated probability envelopes and measured data, thus indicating that the physical processes leading to breakdown do not change substantially over the time regime investigated. >
SP_Ace v1.4 and the new GCOG library for deriving stellar parameters and elemental abundances

Context. Ongoing and future massive spectroscopic surveys will collect very large numbers (106–107) of stellar spectra that need to be analyzed. Highly automated software is needed to derive stellar parameters and chemical abundances from these spectra. Aims. We present the new version of SP_Ace (Stellar Parameters And Chemical abundances Estimator) a code that derives stellar parameters and elemental abundance from stellar spectra. The new version covers a larger spectral resolution interval (R = 2000−40 000) and its new library covers bluer wavelengths (4800–6860 Å). Methods. SP_Ace relies on the General-Curve-Of-Growth (GCOG) library based on 6700 absorption lines whose oscillator strengths were calibrated astrophysically. We developed the calibration method and applied it to all the lines. From the new line list obtained we build the GCOG library, adopting an improved method to correct for the opacity of the neighboring lines. We implemented a new line profile for the code SP_Ace that better reproduces that of synthetic spectra. This new version of SP_Ace and the GCOG library has been tested on synthetic and real spectra to establish the accuracy and precision of the derived stellar parameters. Results. SP_Ace can derive the stellar parameters Teff, log g, [M/H], and chemical abundances with satisfactory results; the accuracy depends on the spectral features that determine the quality, such as spectral resolution, signal-to-noise ratio, and wavelength coverage. Systematic errors were identified and quantified where possible. The source code is publicly available.
Research on PSO-BPNN Based Model for Forecasting Typhoon Rainfall

In view that there are great errors in forecasting typhoon rainfall by backpropagation neural network (BPNN) based models, it is proposed in this paper that these models can be optimized by particle swarm optimization (PSO). In this paper, one basic BPNN-based model and one PSO-BPNN model are separately built for performing simulation experiments with the same data. According to the experimental results, the optimized model can forecast typhoon rainfall much more precisely, which demonstrates that the PSO-BPNN model is effective for forecasting typhoon rainfall.
Are Both Brand Awareness and Trust Play Significant Roles in Affecting Students’ Loyalty Toward Packaged Snacks Product?

This study was conducted in order to determine whether brand awareness and trust have significant impact on university students’ loyalty toward packaged snacks that were usually sold in both supermarkets or convenience stores all across the region. This study implements survey method, in which, 250 active students from one of the private university in Jakarta participated as the respondents of this study. Students who were selected as the respondents in this study are those who’ve bought a packaged snacks product of any kinds (either biscuits, potato chips, corn chips, tortilla chips, and the other kinds of packaged snacks) at least 10 times for the past 6 months. Questionnaires then were used in order to collect the data from the respondents, and were electronically distributed to the respondents. After collecting all of the data, a total of 19 data need be deleted or omitted due to incomplete responses filled by the respondents. Therefore, a total of 231 usable data were further analyzed using PLS-SEM method in order to gain all of the results needed for concluding this study. Based on the results of the data analysis, authors concluded that both brand awareness and trust have significant impact on students’ loyalty toward packaged foods sold in many convenience store and supermarkets all across Jakarta, with Brand Awareness turns out to be the stronger predictor as compared to Trust. The results of this study then show the importance of improving or increasing people’s awareness toward the brand of the packaged snacks in order to bind people to be loyal to the brand. Furthermore, consumers’ trust toward the brand (and the all of the information attached to the label of the packaged snacks) also revealed to has a positive and significant role in enhancing people’s loyalty behavior toward the brand and the packaged snacks that were usually bought by the consumers.