Miracle-dz/UniFAR-FTUs huggingface dataset:
The The Influence of CSR Disclosure and Good Corporate Governance Towards Company’s Reputation

This study examines the effect of CSR and GCG disclosure on the company's reputation. Measurement of CSR disclosure refers to the 2016 GRI Standards. GCG is measured by proxy for the size of the board of directors, gender diversity in the board, and board activity. The research sample was 66 companies during 2018-2020 with the criteria of being public companies and releasing annual reports, not included in the financial sector companies, this was due to the characteristics of different business activities, regulations, and financial ratios, including being winners of the Corporate Image Awards for three years. consecutive years of research, reporting financial statements in rupiah currency, not foreign currency, make annual reports and/or sustainability reports during the research period, containing information on CSR and CG activities. and data analysis was performed with multiple linear regression analysis using SPSS program. The results show that CSR disclosure has a significant positive effect on the company's reputation, the size of the board of directors has a significant positive effect on the company's reputation, gender diversity in the board has a significant positive effect on the company's reputation, and board activities have a significant positive effect on the company's reputation.
Analysis of the resonant layer effect in multilayer nanostructured optical waveguides

Abstract. The resonant layer effect (RLE) is investigated for a multilayer structure with iron nanoinclusions. The RLE tuning and strength are analyzed as a function of nanoinclusion filling factor and resonant, cladding and guiding layers thicknesses. Crossing, splitting, and quasidegeneration of modes in the structure dispersion diagram are discussed, along with its relation to the RL effect detuning and structure-coupling regime. For the range of parameters considered, multiple resonances are tunable in the multilayer structure. Optimized RLE TE and TM polarizers are proposed for operation at 1550 nm based on modal loss and field confinement calculations. For the TE-pass polarizer, a 201.1-dB rejection ratio and 3.85-dB/cm insertion loss are obtained, while for the TM-pass polarizer, a 95.6-dB rejection ratio and 4.41-dB/cm insertion loss are achieved.
1-D Model for Mass Transfer Calculation in Vortex Tube using Heat and Mass Transfer Analogy

This work introduces a new mathematical model that predicts the mass transfer in a counter current Ranque Hilsch Vortex Tube. The model requires experimental thermal gradient and calculates axial concentration gradient of the heavier species of a binary mixture as mass transfer takes place between two parallel streams moving from inlet towards the hot outlet. The well established Chilton Colburn analogy is used within its applicable range to determine the mass transfer coefficient based on the heat transfer coefficient. The heat transfer coefficient is calculated using Seider-Tate correlation. The model can predict axial concentration gradient of the heavier species in both enriched and depleted stream along the length of the Ranque Hilsch Vortex Tube and mass separation factor. The model is validated with data obtained from experiments conducted with three different vortex generators with variable inlet flow rate. Comparison of the predictions from the model and experimental results shows that the new model can predict the experimental results quite well for a range of flow rate from 0.01 m3/s to 0.03 m3/s and hot end valve opening values ranging from 1.0 to 4.5 turns. The variation of mass separation factor is also examined with inlet feed flow rate and hot end valve opening values. Air as a binary mixture of nitrogen and oxygen is considered as the working fluid.
Experience with a medium chain triglyceride complex and changes in mental focus and score in different modes of golf transport and play

Medium Chain Triglyceride (MCT)- based supplements have increased cognitive function in general and specific functional realms. Can an MCT complex improve mental focus in sports with a high, active cognitive component? This pilot investigation tested whether the proprietary MCT complex utilized could result in positive gains in mental focus or perception of enhanced energy on the course. Each of the ten subjects played a 9-hole round using a motor cart, pushcart, carry bag, or electric trolley (which simulated playing with a caddie) while wearing a portable metabolic system to determine baseline energy expenditure, mental focus, and score baseline. Data points recorded and averaged included the volume of oxygen used per minute total (VO2/L/min), oxygen used per kg of body weight per minute (VO2ml/kg/min), converted to kcal per hour, and heart rate. A 10-point mental focus scale had golfers rating tee shots, second through fourth shots, and the short game from 100 yards in. Using their preferred mode of transport and play, the subjects completed one more, 9-hole round after once-daily consumption of the supplement for seven days. The average rating of mental focus and perceived energy increased from a level of 5.77 to 7.22 out of 10, statistically significant at P= 0.0120. Actual play scores decreased from 10.8 to 8.9 over par for the 9-hole rounds, trending positively. This initial trial suggests that a proprietary MCT complex can improve actual golf performance and the golfer's perceptions of focus and energy regardless of which mode of transport and play is used.
FIRST RESULTS FROM THE HUBBLE OPAL PROGRAM: JUPITER IN 2015

The Hubble 2020: Outer Planet Atmospheres Legacy program is generating new yearly global maps for each of the outer planets. This report focuses on Jupiter results from the first year of the campaign. The zonal wind profile was measured and is in the same family as the Voyager and Cassini era profiles, showing some variation in mid- to high-latitude wind jet magnitudes, particularly at +40° and −35° planetographic latitude. The Great Red Spot continues to maintain an intense orange coloration, but also shows new internal structures, including a reduced core and new filamentary features. Finally, a wave that was not previously seen in Hubble images was also observed and is interpreted as a baroclinic instability with associated cyclone formation near 16° N latitude. A similar feature was observed faintly in Voyager 2 images, and is consistent with the Hubble feature in location and scale.
The position of the Turkish and Moroccan second generation in Amsterdam and Rotterdam: the TIES study in the Netherlands

This first publication of the TIES Project (Towards the Integration of the European Second Generation) examines the social stratification and views of the second Dutch generation of Turkish and Moroccan origin living in the Netherlands. Drawing on research carried out in 2006-7 the Dutch-born children of immigrants from Turkey and Morocco in Amsterdam and Rotterdam and a comparison group of young people whose parents were born in the Netherlands, this volume sheds important light on the lives of the second-generation Muslim youth coming of age and making a transition from education to the labor market.
Three arms, double-blind, non-inferiority, randomized clinical study testing the lipid-lowering effect of a novel dietary supplement containing red yeast rice and artichoke extracts compared to Armolipid Plus® and placebo

Introduction There is growing interest in head-to-head comparison between different lipid-lowering nutraceuticals. The aim of our study was to test the lipid-lowering effect of dietary supplementation with low-dose monacolins from red yeast rice (2.8 mg per daily dose) combined with berberine (Armolipid Plus®) or highly standardized artichoke extract versus placebo. Material and methods 60 overall healthy adult volunteers with polygenic hypercholesterolemia (baseline low-density lipoprotein cholesterol (LDL-C) = 160.2 ±9.2 mg/dl) were enrolled in a 3-arm, double-blind, non-inferiority, randomized, parallel-group clinical trial. After 4-week diet standardization, enrolled individuals were randomized to be treated for 8 weeks with red yeast rice and highly standardized artichoke extracts (ATC group), Armolipid Plus®, or placebo. Results At the enrolment visit, LDL-C values were similar in the compared groups. After 8 weeks, all actively treated subjects experienced significant improvements in baseline total cholesterol (TC), LDL-C and apolipoprotein B (Apo-B) (all p < 0.01) (ATC group: TC = –18.9%, LDL-C = –26.7% (placebo-corrected: –12.4%), Apo-B = –19.6%; Armolipid Plus®: TC = –18.4%, LDL-C = –25.8% (placebo-corrected: –12.1%), Apo-B = –23.2%; placebo: TC = –6.2%, LDL-C = –8%, Apo-B = –8.4%). Participants in the ATC group attained significantly lower body mass index (BMI) values (–2.1%), while individuals treated with Armolipid Plus® showed improvements in baseline high-density lipoprotein cholesterol (HDL-C) (+8.7%) and triglyceride (TG) (+17.5%) levels. Finally, baseline hepatic steatosis index (HSI) values significantly decreased in both actively treated groups (by –2.4% and –2.4% in ATC and in Armolipid Plus®, respectively). Conclusions Patients with polygenic hypercholesterolemia experienced a significant improvement in several cardiovascular risk factors in both ATC and Armolipid Plus® groups.
The Visible Vortex Interactive Analysis and Extraction of Vortices in Large Time-dependent Flow

Computational simulation of physical and chemical processes has become an essential tool to tackle questions from the field of fluid dynamics. Using current simulation packages it is possible to compute unsteady flow simulations for realistic scenarios. The resulting solutions are stored in large to very large grids in 2D or 3D, frequently time-dependent, with multi-variate results from the numeric simulation. With increasing complexity of simulation results, powerful analysis and visualization tools are needed to make sense of the computed information and answer the question at hand. To do this we need new approaches and algorithms to locate regions of interest, find important structures in the flow and analyze the behavior of the flow interactively. The main motives of this thesis are the extension of vortex detection criteria to unsteady flow and the combination of vortex detectors with interactive visual analysis. To develop an understanding for the simulation results it is necessary to compare attributes of the simulation to each other and to be able to relate them to larger structures such as vortices. It is shown how automatic feature detection algorithms can be combined with interactive analysis techniques such that both detection and analysis benefit. By extending and integrating vortex detectors into the process of visual analysis, it becomes possible to understand the impact of vortex structures on the development of the flow. Using real-world examples from the field of engine design we discuss how vortex structures can have critical impact on the performance of a prototype. We illustrate how interactive visual analysis can support prototype design and evaluation. Furthermore, we show that taking the unsteady nature of the flow into account improves the quality of the extracted structures.
Inertial regimes in a curved electromagnetically forced flow

We investigated experimentally the flow driven by a Lorentz force induced by an axial magnetic field $\boldsymbol{B}$ and a radial electric current $I$ applied between two fixed concentric copper cylinders. The gap geometry corresponds to a rectangular section with an aspect ratio of $\unicode[STIX]{x1D702}=4$ and we probe the azimuthal and axial velocity profiles of the flow along the vertical axis by using ultrasonic Doppler velocimetry. We have performed several runs at moderate magnetic field strengths, corresponding to moderate Hartmann numbers $M\leqslant 300$ . At these forcing parameters and because of the geometry of our experimental device, we show that the inertial terms are not negligible and an azimuthal velocity that depends on both $I$ and $B$ is induced. From measurements of the vertical velocity we focus on the characteristics of the secondary flow: the time-averaged velocity profiles are compatible with a secondary flow presenting two pairs of stable vortices, as pointed out by previous numerical studies. The flow exhibited a transition between two dynamical modes, a high- and a low-frequency one. The high-frequency mode, which emerges at low magnetic field forcing, corresponds to the propagation in the radial $r$ -direction of tilted vortices. This mode is consistent with our previous experiments and with the instability described in Zhao et al. (Phys. Fluids, vol. 23 (8), 2011, 084103) taking place in an elongated duct geometry. The low-frequency mode, observed for high magnetic field forcing, consists of large excursions of the vortices. The dynamics of these modes matches the first axisymmetric instability described in Zhao & Zikanov (J. Fluid Mech., vol. 692, 2012, pp. 288–316) taking place in an square duct geometry. We demonstrated that this transition is controlled by the inertial magnetic thickness $H^{\prime }$ which is the characteristic length we introduce as a balance between the advection and the Lorentz force. The key point here is that when the inertial magnetic thickness $H^{\prime }$ is comparable to one geometric characteristic length ( $H/2$ in the vertical or $\unicode[STIX]{x0394}r$ in the radial direction) the corresponding mode is favoured. Therefore, when $H^{\prime }/(H/2)\approx 1$ we observe the high-frequency mode taking place in an elongated duct geometry, and when $H^{\prime }/\unicode[STIX]{x0394}r\approx 1$ we observe the low-frequency mode taking place in square duct geometry and high magnetic field.
Assessment of a flipped-classroom approach to teach deprescribing and safe medication use in a geriatric pharmacotherapy module

Objective: To assess the impact of a flipped-classroom approach to teach safe medication use and deprescribing for older adults on student academic performance and perceptions of deprescribing. Methods: This was a pre-post evaluation following implementation of the flipped-classroom approach in a third-year pharmacotherapy course. The primary endpoint was the difference in exam performance on 10 related assessment items. An electronic survey was distributed to students in both cohorts to assess their attitudes, perceived ability, and confidence in deprescribing (5-point Likert-scale). Results: The average score on covered exam items was 74.6% in the lecture group and 75.6% in the flipped-classroom group (p = 0.62). Students in the flipped-classroom group were more likely to endorse confidence in their ability to recommend appropriate deprescribing strategies for potentially inappropriate medications (p = 0.02). Conclusions: Learners reported increased self-confidence with deprescribing in practice when taught using the flipped-classroom approach, but exam scores were not significantly improved.
Correlation effects of self-regulation on academic performance and self-efficacy in college physical education MOOC learning

At present, MOOCs have gradually become a part of daily teaching in colleges and universities, but domestic physical education curriculum research has not yet covered the content of the relationship between college students' learning self-regulation, self-efficacy, and physical education performance in the MOOC learning environment. Therefore, it is necessary to study the correlation between self-regulation and self-efficacy in the study of physical education MOOCs through a questionnaire survey and analysis of 52 college students majoring in physical education at a BSU university in Beijing. The study found that there is a significant correlation between self-regulation and academic performance, but the impact of self-efficacy on academic performance is not significant, and the relationship between self-regulation and self-efficacy needs to be further explored.
Packing a limited number of unequal circular objects in a rectangular container

A problem of packing a limited number of unequal circular objects in a fixed size rectangular container is considered. The circular object is considered in a general sense, as a set of points that are all the same distance (not necessary Euclidean) from a center. The aim is to maximize the (weighted) number of objects placed into the container or minimize the waste. This problem has numerous applications in logistics, including production and packing for the textile, apparel, naval, automobile, aerospace and food industries. Frequently the problem is formulated as a nonconvex continuous optimization problem which is solved by heuristic techniques combined with local search procedures. We study a linear integer programming formulation based on approximating container by a regular grid. The nodes of the grid are considered as potential positions for assigning centers of the objects thus giving rise to a large scale linear 0-1 optimization problem with binary variables representing the assignment of centers to the nodes of the grid. Recursive packing allowing nesting circles inside one another is also considered. Numerical results are presented to demonstrate the efficiency of the proposed approach.
A robust high-order discontinuous Galerkin method with large time steps for the compressible Euler equations

We present a high-order Lagrange-projection like method for the approximation of the compressible Euler equations with a general equation of state. We extend the method introduced in Renac [F. Renac, Numer. Math., 2016, DOI 10.1007/s00211-016-0807-0] in the case of the isentropic gas dynamics to the compressible Euler equations and minimize the numerical dissipation by quantifying it from a parameter evaluated locally in each element of the mesh. The method is based on a decomposition between acoustic and transport operators associated to an implicit-explicit time integration, thus relaxing the constraint of acoustic waves on the time step as proposed in Coquel et al. [F. Coquel, Q. Long-Nguyen, M. Postel and Q.H. Tran, Math. Comput. , 79:1493–1533, 2010] in the context of a first-order finite volume method. We derive conditions on the time step and on a local numerical dissipation parameter to keep positivity of the mean value of the discrete density and internal energy in each element of the mesh and to satisfy a discrete inequality for the physical entropy at any approximation order in space. These results are then used to design limiting procedures in order to restore these properties at nodal values within elements. Moreover, the scheme is designed to avoid over-resolution in space and time in the low Mach number regime. Numerical experiments support the conclusions of the analysis and highlight stability and robustness of the present method when applied to either discontinuous flows or vacuum. Large time steps are allowed while keeping accuracy on smooth solutions even for low Mach number flows.
Numerical model and experimental validation of the heat transfer in air cooled solar photovoltaic panel

In this paper, a meticulous numerical model is developed and simulated using computational fluid dynamics technique so as to analyse the heat transfer and temperature distribution on each layer of the air cooled solar photovoltaic panel. The proposed numerical model comprises of bottom air cooling layer and diverse layers of solar panel such as glass, ethyl vinyl acetate, photovoltaic cell, and tedlar. The discrete ordinates model is employed to apply the solar load in the numerical computation. The computational fluid dynamics simulated average temperatures are compared with the experimental measured values and found to be in commendable agreement. The RMSE1, RMSE2, and R-squared values were obtained for top glass, tedlar and outlet air temperature is 1.112949, 0.022619, 0.998175, 0.993115, 0.019556, 0.998451, and 0.077683, 0.022618, 0.988113, respectively. The top glass and photovoltaic cell contour clearly visuvalizes the temperature distribution through out the layer. It is also found that the maximum top glass, photovoltaic cell, tedlar and outlet air temperature of photovoltaic-thermal system are about 58.06 °C, 58.39 °C, 59.44 °C, and 45.48 °C, respectively.
CrMn 系反強磁性膜と NiFe 膜の交換結合

We investigated the exchange coupling between ferromagnetic Ni81Fe19 and antiferromagnetic CrMn alloy films. The exchange coupling field (HEX) of CrMn alloy film, with 40 nm Ni81Fe19 film is 5 Oe at 50 at% Mn content. If several at% of Cu, Pt, Pd, and Rh are added to Cr50Mn50 films, HEX is approximately 16 Oe. In the case of Pt addition, HEX increases with increasing Pt content and saturates at more than 5 at% Pt. CrMnPt (110) films with body-centered cubic structures are formed on NiFe (111) films. With increasing sputtering Ar gas pressure, both HEX and the blocking temperature (TB) of Ni81Fe19/Cr46Mn46Pt8 increase. At an Ar gas pressure of 15 mTorr, HEx and TB are 15 Oe and 380°C, respectively. HEX of Ni81Fe19/Cr46Mn46Pt8 films decreases with decreasing CrMnPt film thickness, and at least 30 nm thickness is required in order to maintain a positive value of HEX. From these results, we conclude that it may be possible to use antiferromagnetic CrMnPt film in MR heads and spin-valve films.
A benchmark dataset with Knowledge Graph generation for Industry 4.0 production lines

Industry 4.0 (I4.0) is a new era in the industrial revolution that emphasizes machine connectivity, automation, and data analytics. The I4.0 pillars such as autonomous robots, cloud computing, horizontal and vertical system integration, and the industrial internet of things have increased the performance and efficiency of production lines in the manufacturing industry. Over the past years, efforts have been made to propose semantic models to represent the manufacturing domain knowledge, one such model is Reference Generalized Ontological Model (RGOM). 11 https://w3id.org/rgom However, its adaptability like other models is not ensured due to the lack of manufacturing data. In this paper, we aim to develop a benchmark dataset for knowledge graph generation in Industry 4.0 production lines and to show the benefits of using ontologies and semantic annotations of data to showcase how the I4.0 industry can benefit from KGs and semantic datasets. This work is the result of collaboration with the production line managers, supervisors, and engineers in the football industry to acquire realistic production line data22 https://github.com/MuhammadYahta/ManufacturingProductionLineDataSetGeneration-Football,. 33 https://zenodo.org/record/7779522 Knowledge Graphs (KGs) or Knowledge Graph (KG) have emerged as a significant technology to store the semantics of the domain entities. KGs have been used in a variety of industries, including banking, the automobile industry, oil and gas, pharmaceutical and health care, publishing, media, etc. The data is mapped and populated to the RGOM classes and relationships using an automated solution based on JenaAPI, producing an I4.0 KG. It contains more than 2.5 million axioms and about 1 million instances. This KG enables us to demonstrate the adaptability and usefulness of the RGOM. Our research helps the production line staff to take timely decisions by exploiting the information embedded in the KG. In relation to this, the RGOM adaptability is demonstrated with the help of a use case scenario to discover required information such as current temperature at a particular time, the status of the motor, tools deployed on the machine, etc.