Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review on Development of Constructivism Learning Model as Attributors of High-Level Thinking Skills on Accounting Skills

The value of individual employability can be enhanced through the provision of quality aspects of Education. Therefore, the development of constructivism learning models is one of the main drivers to the attributes of students' high-level thinking skills. The focus of this study is to study and present ideas to improve students' high-level thinking skills through the building elements of the constructivism learning model in accounting skills. It is concluded that Constructivism Learning Model as Attributors of High-Level Thinking Skills on Accounting Skills. Previous researchers' findings were also included to support the arguments used in the study.
Lower Body Joint Angle Prediction Using Machine Learning and Applied Biomechanical Inverse Dynamics

Extreme angles in lower body joints may adversely increase the risk of injury to joints. These injuries are common in the workplace and cause persistent pain and significant financial losses to people and companies. The purpose of this study was to predict lower body joint angles from the ankle to the lumbosacral joint (L5S1) by measuring plantar pressures in shoes. Joint angle prediction was aided by a designed footwear sensor consisting of six force-sensing resistors (FSR) and a microcontroller fitted with Bluetooth LE sensors. An Xsens motion capture system was utilized as a ground truth validation measuring 3D joint angles. Thirty-seven human subjects were tested squatting in an IRB-approved study. The Gaussian Process Regression (GPR) linear regression algorithm was used to create a progressive model that predicted the angles of ankle, knee, hip, and L5S1. The footwear sensor showed a promising root mean square error (RMSE) for each joint. The L5S1 angle was predicted to be RMSE of 0.21° for the X-axis and 0.22° for the Y-axis, respectively. This result confirmed that the proposed plantar sensor system had the capability to predict and monitor lower body joint angles for potential injury prevention and training of occupational workers.
Prediction of Patient Satisfaction after Treatment of Chronic Neck Pain with Mulligan’s Mobilization

Chronic neck pain is among the most common types of musculoskeletal pain. Manual therapy has been shown to have positive effects on this type of pain, but there are not yet many predictive models for determining how best to apply manual therapy to the different subtypes of neck pain. The aim of this study is to develop a predictive learning approach to determine which basal outcome could give a prognostic value (Global Rating of Change, GRoC scale) for Mulligan’s mobilization technique and to identify the most important predictive factors for recovery in chronic neck pain subjects in four key areas: the number of treatments, time of treatment, reduction of pain, and range of motion (ROM) increase. A prospective cohort dataset of 80 participants with chronic neck pain diagnosed by their family doctor was analyzed. Logistic regression and machine learning modeling techniques (Generalized Boosted Models, Support Vector Machine, Kernel, Classsification and Decision Trees, Random Forest and Neural Networks) were each used to form a prognostic model for each of the nine outcomes obtained before and after intervention: disability—neck disability index (NDI), patient satisfaction (GRoC), quality of life (12-Item Short Form Survey, SF-12), State-Trait Anxiety Inventory (STAI), Beck Depression Inventory (BDI II), pain catastrophizing scale (ECD), kinesiophobia-Tampa scale of kinesiophobia (TSK-11), Pain Intensity Visual Analogue Scale (VAS), and cervical ROM. Pain descriptions from the subjects and pain body diagrams guided the physical examination. The most important predictive factors for recovery in chronic neck pain patients indicated that the more anxiety and the lower the ROM of lateroflexion, the higher the probability of success with the Mulligan concept treatment.
Timing performance of the CMS ECAL and prospects for the future

The CMS electromagnetic calorimeter (ECAL) is made of about 75000 scintillating lead tungstate crystals arranged in a barrel and two endcaps. The scintillation light is read out by avalanche photodiodes in the barrel and vacuum phototriodes in the endcaps, at which point the scintillation pulse is amplified and sampled at 40 MHz by the on-detector electronics. The fast signal from the crystal scintillation enables energy as well as time measurements from the data collected in proton-proton collisions with high energy electrons and photons. The stability of the time measurement required to maintain the energy resolution is on the order of 1 ns. The single-channel time resolution of ECAL measured at beam tests for high energy showers is better than 100 ps. The time resolution achieved with the data collected in proton-proton collisions at the LHC is presented. The time precision achieved is used in important physics measurements and also allows the study of subtle calorimetric effects, such as the time response of different crystals belonging to the same electromagnetic shower. In addition, we present prospects for the high luminosity phase of the LHC, where we expect an average of 140 concurrent interactions per bunch crossing (pile-up). It is currently being studied how precision time could be exploited for pileup mitigation and for the assignment of the collision vertex for photons. In this respect, a detailed understanding of the time performance and of the limiting factors in time resolution will be important.
Comments on “IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems”

IPPTS (Improved Predict Priority Task Scheduling) is a list scheduling algorithm that schedules task graphs on fully connected heterogeneous distributed systems, with an objective of minimizing the overall makespan (i.e., schedule length). With respect to the literature on list scheduling techniques for task graphs, IPPTS improves the task prioritization by considering the “out-degree” of a task. However, we have observed that the IPPTS algorithm contains an ambiguity which introduces the possibility of assigning higher priority to a task compared to its predecessors in a task graph. This priority inversion may lead to the generation of an incorrect schedule due to the violation of precedence-constraints among tasks. In this note, we first highlight this issue using a counter example. Then, we discuss two possible ways to fix the ambiguity in the algorithm.
Out-of-School Learning in the Wadden Sea: The Influence of a Mudflat Hiking Tour on the Environmental Attitudes and Environmental Knowledge of Secondary School Students

In this study, the Wadden Sea, as an out-of-school learning site, is considered from an empirical-research perspective of environmental education. The Wadden Sea in Germany is part of the largest contiguous mudflat area in the world. Although much evidence is already available on different teaching and learning processes at various out-of-school learning sites, this is not yet the case for the Wadden Sea. This research gap was taken up. In this paper, 427 students (mean age: 11.74 years) participated in a mudflat hiking tour. A pre–post-test design followed by a retention test was used to determine the impact of this on participants’ environmental attitudes and environmental knowledge. The single factor analyses of variance with repeated measures demonstrated that the mudflat hiking tour had both a positive short-term and a positive long-term impact on environmental attitudes, as well as on environmental knowledge. All three constructs could, therefore, be positively influenced by the intervention. Correlation analyses revealed a positive relationship between environmental attitudes and environmental knowledge at three measurement time points. These results empirically confirm the potential of the Wadden Sea as an out-of-school learning site for environmental education with students from secondary schools. The effectiveness of non-formal education in this ecological environment can be proven.
Characteristic Flow Behavior and Processing Map of a Novel Lean Si Spring Steel for Automotive Stabilizer Bars

The spring steel for automotive stabilizer bars has a great responsibility in that its quality directly affects the stability, safety, and comfort of vehicle operation. The isothermal thermal compression behavior of a novel lean Si spring steel that was used to manufacture an anti-roll bar was investigated with a DIL805A/D quenching thermal dilatometer in this research. A hyperbolic sine type of constitutive model was established, and hot processing maps were produced to evaluate the experimental steel’s hot workability properties. The experimental results suggest that dynamic recrystallization (DRX) preferentially occurs at a low strain rate and high thermal processing temperature, while the processing maps of the experimental steel are susceptible to strain. The instability regions increase as the strain increases. The processing maps’ stable and instable domains should be decided upon comprehensive analysis of the instability criterion, power dissipation efficiency, and strain rate sensitivity index. The optimum parameters of hot processing for the experimental steel at various strains are that the deformation temperature of 1000–1150 °C and the strain rate of 0.1, approximately.
Taxonomic novelties in the Asteraceae–Inuleae with the description of a new genus, Galgera separate from Laggera

Abstract: Phylogenetic analyses of DNA sequences from the plastid gene ndhF from a large number of species of the Asteraceae tribe Inuleae reveal the need for some taxonomic and nomenclatural changes. The genera Laggera, Pentanema and Pluchea as presently understood are all polyphyletic. It is concluded that the old name Vicoa should be used for three species of Pentanema, and a new species of the genus is described. Two species of Cyathocline (previously recognized as a genus in the tribe Astereae) are confirmed to be close to Blumea of the Inuleae–Inulinae and are included here in the latter genus, requiring a new combination. The new genus Galgera, sister to Antiphiona, is described for a former Laggera species. Citation: Anderberg A. A. & Bengtson A. 2022: Taxonomic novelties in the Asteraceae–Inuleae with the description of a new genus, Galgera separate from Laggera. – Willdenowia 52: 373–386. Version of record first published online on 27 December 2022 ahead of inclusion in December 2022 issue.
GEOLOGICAL MODELLING OF LITHOSEQUENT BASED ON DEM AND FINITE ELEMENT METHOD INVERSION OF VES DATA

The aims of this study are to develop interpretation of structural geology in lithosequent using DEM and finite elemen method based on VES data. This research was conducted on June 2021 untill January 2022 at Pasang District, North Toraja. Four main point location were selected and recorded in google earth. Those points were processed using software QGIS for developing 3D model, Saga-GIS for interpolated DEM and VES for generating 1D and 2D geoelectrical modelling. Data were interpolated using Universal Kriging method and analysed using IP2WIN software. The results of these research shows that Geostatistical Universal Kriging can be used for interpolating DEM in lithosequent Pasang Village, by using as the variogram equation and yield 95,12% determinations; VES method in geoelectrical resistivity can be configure into 2D and produce clearer modeling of pseudo-section; The synthetics data can be generated from field measurement data and interpretation of 2D VES; Result of synthetic block on geoelectrical data can be inverted using Finite Element Method and generated clearer data; By using these methods, the thickness of weathering layer in lithosequent Pasang Village can be estimated and modelling.
Sustainment of FRC-equilibrium by use of a centre solenoid in TS-4

This paper addresses a basic equilibrium/confinement question whether a field reversed configuration (FRC) with a balanced amount of magnetic and thermal energies is sustained solely by inductive magnetic flux (magnetic energy) injection of a centre solenoid coil. A new finding is that preferential injection of magnetic energy causes a significant increase in thermal energy of the FRC to maintain high-beta equilibrium. The FRC plasma is concluded to have the robustness needed to self-adjust the plasma heating power depending on the magnetic energy injection. In the flux ramped-up phase, i.e. in the phase where the applied inductive electric field did not penetrate into the core of the plasma, the J × B compression (pinch effect) was considered to be dominant for heating the FRC. On the other hand, after the applied inductive electric field penetrated into the core region the resistivity of the FRC increased up to 10–20 times larger than the classical spitzer resistivity. This anomalous heating was the most probable cause for sustainment of the high-beta FRC in this phase. A quasi-steady state of the high-beta (volume averaged beta ∼0.6–0.7) FRC for 0.15 ms (∼energy confinement time of conventional FRCs) was achieved by the use of the present low power centre solenoid current drive. This successful result leads us to the next stage steady sustainment experiment of an FRC by increased capacitor bank energy.
Low-frequency noise in AlGaAs/InGaAs/GaAs Hall micromagnetometers

We report on studies aimed at understanding and improving the intrinsic noise of high-performance sensors using a 2D electron gas channel confined by a quantum well in the pseudomorphic AlGaAs/InGaAs/GaAs heterostructure. MIS gated and ungated Hall sensors shaped as a Greek cross with dimensions ranging from 100 μm down to submicrometer range have been investigated. At room temperature the predominant low frequency Hall voltage noise originates from the ensemble of trapping/detrapping events occurring within the continuum of GaAs surface states. Its power spectral density can be deduced from independent measurements of the interface trap density-of-states by applying Shockley-Read-Hall dynamics and the Fluctuation-Dissipation Theorem. In fact, theoretical spectra calculated without any adjustable fitting parameter coincide closely with the experimentally measured ones. At cryogenic temperature this interface traps noise freezes out, thus revealing a much weaker intrinsic background noise with 1/f spectrum. For small sensors the intrinsic 1/f noise converts into one or a few lorentzians due to the action of individual random telegraph signals (RTS). For Hall crosses with an intersection of 4x4μm2, we find statistically less than 1 fluctuator per each decade of time constant at 77 K. Due to the random distribution of the elementary fluctuators, some of these small Hall crosses may show less low-frequency noise than much larger 60x60μm2 sensors.
On the Relative Rates of Decay of the Optical and Soft X-Ray Fluxes in Dwarf Nova Outbursts

We present time-dependent computations utilizing the accretion disk limit cycle instability to model the decay of the flux in dwarf nova outbursts. In particular, we model the optical and 0.1 keV fluxes in an attempt to account for recent findings by Ponman et al. The e-folding decay times of ~3 days for the optical and ~1 day for the soft X-ray/EUV in an outburst of SS Cygni are naturally accounted for in the model by the action of the cooling front which enacts the transition between the high and low states in the accretion disk. The difference in timescales between V and EUV stems from the fact that, roughly speaking, the optical flux samples the surface area of the hot part of the accretion disk, whereas the EUV samples the mass of the hot part of the accretion disk.
A spectroscopic study of the cataclysmic binary star SU Ursae Majoris

Spectroscopic observations of SU UMa, the prototype of a class of short-period cataclysmic binaries, are reported. The orbital period is found to be 0.076351 + or - 4.3 x 10 to the -5th days. The velocity amplitude of the emission line source is 58 + or - 4 km/s, leading to a mass function of about 0.0015 solar mass and implying a moderately low inclination. The line cores in H-alpha and H-beta lead the wings slightly in orbital phase, contrary to the predictions of simple hot spot models of the line core. The velocity widths of the Balmer series increase toward higher members of the series, suggesting that pressure broadening may contribute nonnegligibly to the emission line widths.
Quaternary Ammonium Groups Modified Magnetic Cyclodextrin Polymers for Highly Efficient Dye Removal and Sterilization in Water Purification

Water recovery is a significant proposition for human survival and sustainable development, and we never stop searching for more efficient, easy-operating, low-cost and environmentally friendly methods to decontaminate water bodies. Herein, we combined the advantages of β-cyclodextrin (β-CD), magnetite nanoparticles (MNs), and two kinds of quaternary ammonium salts to synthesize two porous quaternary ammonium groups capped magnetic β-CD polymers (QMCDP1 and QMCDP2) to remove organic pollutants and eradicate pathogenic microorganisms effectively through a single implementation. In this setting, β-CD polymer (CDP) was utilized as the porous substrate material, while MNs endowed the materials with excellent magnetism enhancing recyclability in practical application scenarios, and the grafting of quaternary ammonium groups was beneficial for the adsorption of anionic dyes and sterilization. Both QMCDPs outperformed uncapped MCDPs in their adsorption ability of anionic pollutants, using methyl blue (MB) and orange G (OG) as model dyes. Additionally, QMCDP2, which was modified with longer alkyl chains than QMCDP1, exhibits superior bactericidal efficacy with a 99.47% removal rate for Staphylococcus aureus. Accordingly, this study provides some insights into designing a well-performed and easily recyclable adsorbent for simultaneous sterilization and adsorption of organic contaminants in wastewater.
Effects of Kadsura coccinea L. Fruit Extract on Growth Performance, Meat Quality, Immunity, Antioxidant, Intestinal Morphology and Flora of White-Feathered Broilers

Simple Summary Kadsura coccinea was planted in large quantities in south China in recent years, and its functions and effects need to be further studied and discovered. We had previously found that Kadsura coccinea fruit extract has anti-diarrhea effects on mice, so we want to explore its influence on broiler breeding. The result showed that added 200 mg/kg Kadsura coccinea fruit extract to basic feed can replace traditional antibiotics as a growth promoter. It can improve the growth, slaughter performance, and antioxidant and regulate intestinal microorganisms of broilers, which indicated that the Kadsura coccinea fruit extract is feasible as a feed additive. Abstract This study aimed to determine whether adding Kadsura coccinea fruit extract to the diet of broilers could replace antibiotics. For this study, 300 one-day-old AA white feathered broilers were divided into five groups (no sex separated), with six repetitions per group (n = 10), as follows: blank control group (basal feed, CK group), positive drug (basal feed + 300 mg/kg aureomycin, PD group), and Kadsura coccinea low-dose, medium-dose, and high-dose groups (basal feed + 100 mg/kg, 200 mg/kg, and 300 mg/kg of Kadsura coccinea fruit extract, LD group, MD group and HD group). The experiment period was divided into early (1–21 days) and late (22–42 days) stage. We found that supplementation with Kadsura coccinea fruit extract in the diet significantly improved the growth performance of broilers (p < 0.05), reduced the feed to meat ratio (p < 0.05), reduced the fat percentage (p < 0.05), while had no significant effect on meat quality (p > 0.05) and Kadsura coccinea fruit extract could promote the development of immune organs to different extents, enhance antioxidant capacity, the contents of SOD and GSH-Px in serum were significantly increased (p < 0.05), improve the ratio of villus height to crypt depth. Finally, Kadsura coccinea fruit extract increased the relative abundance of probiotics and beneficial bacteria (Bacteroidales, NK4A214, Subdoligranulum and Eubacterium hallii) (p < 0.05) and reduced the relative abundance of harmful bacteria (Erysipelatoclostridium) (p < 0.05) in the gut of broilers. Compared with positive drug group, most of the indexes in the medium-dose group were better or had similar effects. We believe that Kadsura coccinea fruit extract can be used as a potential natural antibiotic substitute in livestock and poultry breeding programs.
Analysis of the propagation characteristics of circular step-index fibre with new sheath helix boundary condition

A circular step-index fibre with a helical winding on the core-cladding boundary is proposed and investigated analytically with a new type of boundary condition. Using cylindrical coordinate system (r, ϕ, z), new boundary conditions are imposed and longitudinal field components are obtained. The equation involves Bessel and modified Bessel functions. Numerical computations are made. Dispersion curves are obtained for different pitch angles. The main effect of the helical winding on the characteristics is to introduce band gaps.
Sensitivity analysis of silicon-on-insulator quadruple Vernier racetrack resonators

Abstract. We present a theoretical sensitivity analysis of silicon-on-insulator quadruple Vernier racetrack resonators based on varying, one at a time, various fabrication-dependent parameters. These parameters include the waveguide widths, heights, and propagation losses. We show that it should be possible to design a device that meets typical commercial specifications while being tolerant to changes in these parameters.
Fundamental Role of Pentose Phosphate Pathway within the Endoplasmic Reticulum in Glutamine Addiction of Triple-Negative Breast Cancer Cells

Cancer utilization of large glutamine equivalents contributes to diverging glucose-6-P flux toward the pentose phosphate shunt (PPP) to feed the building blocks and the antioxidant responses of rapidly proliferating cells. In addition to the well-acknowledged cytosolic pathway, cancer cells also run a largely independent PPP, triggered by hexose-6P-dehydrogenase within the endoplasmic reticulum (ER), whose activity is mandatory for the integrity of ER–mitochondria networking. To verify whether this reticular metabolism is dependent on glutamine levels, we complemented the metabolomic characterization of intermediates of the glucose metabolism and tricarboxylic acid cycle with the estimation of proliferating activity, energy metabolism, redox damage, and mitochondrial function in two breast cancer cell lines. ER-PPP activity and its determinants were estimated by the ER accumulation of glucose analogs. Glutamine shortage decreased the proliferation rate despite increased ATP and NADH levels. It depleted NADPH reductive power and increased malondialdehyde content despite a marked increase in glucose-6P-dehydrogenase. This paradox was explained by the deceleration of ER-PPP favored by the decrease in hexose-6P-dehydrogenase expression coupled with the opposite response of its competitor enzyme glucose-6P-phosphatase. The decreased ER-PPP activity eventually hampered mitochondrial function and calcium exchanges. These data configure the ER-PPP as a powerful, unrecognized regulator of cancer cell metabolism and proliferation.