Miracle-dz/UniFAR-FTUs huggingface dataset:
Stability of dual solutions in boundary layer flow and heat transfer on a moving plate in a copper-water nanofluid with slip effect

An analysis is performed to study the flow and heat transfer characteristics on a moving plate in a nanofluid. The governing nonlinear differential equations are transformed into a system of nonlinear ordinary equations using a similarity transformation which is then solved numerically using a shooting method. While, for the stability analysis, the unsteady problem has to be introduced by introducing new dimensionless time variable which is then solved numerically using solver bvp4c. The numerical results are presented in tables and graphs for the skin friction coefficient and the local Nusselt number as well as the velocity and the temperature profile for a range of various parameters such as nanoparticles volume fraction, first order slip parameter and velocity ratio parameter. It is observed that the skin friction coefficient and the local Nusselt number which represents the heat transfer rate at the surface are significantly influenced by these parameters. The results indicate that dual solutions (first and second solutions) exist when the plate and free stream move in the opposite direction. A stability analysis has been performed to show which solutions are stable and physically realizable. Based on the analysis, the results indicate that the first solution is linearly stable, while the second solution is linearly unstable.
Investigation of the performance of a slotted aerofoil at low Reynolds numbers

Slotted aerofoils have been suggested by numerous researchers as an effective means of controlling boundary layer flow separation, and improving aerodynamic performance. Numerous slot designs have been studied at high Reynolds number, but there is scarcity of study of such slots effect on aerofoil performance in low Reynolds number scenarios. In the present work, wind tunnel and numerical investigation of the effect of a unique slot configuration and its geometric parameters on the aerodynamic performance of a NACA0018 aerofoil at low Reynolds number was executed. The aim of this work is to ascertain if the unique slot configuration on the NACA0018 can improve the aerodynamic performance compared to a plain NACA0018, and if the slotted NACA0018 could be applied as rotors on a Darrieus-style vertical axis micro wind turbine for small scale energy conversion at low wind speeds. Four aerofoils were initially fabricated for the wind tunnel tests, each conforming to the NACA0018 profile; a plain aerofoil and three other slotted aerofoils, each with a span–length slot positioned at X=15%, X=45% and X=70% from the leading edge. The, chord length (c), span, slot slope (ψ) and slot width of the slotted aerofoils were 0.25m, 0.3m, 55° and 0.02c respectively. A 2D wind tunnel set up was used in testing the four aerofoils at Reynolds numbers of 92x103 138x103, 184x103 and 230x103, within 0° to 20° range of incidence. Comparing the slotted and plain aerofoils, the aerodynamic force data shows that the presence of the slots was detrimental to aerodynamic performance especially when the slot location is closer to the leading edge. Therefore, a 2D numerical parametric study of slot width and slope was carried out using ANSYS FLUENT 16.0 with the intention of improving the lift–to–drag (L/D) ratio of the span–length slotted aerofoils. Furthermore, a final slot configuration consisting of segmented slot pattern which incorporated the results of the parametric study was fabricated and tested in a wind tunnel. The aerodynamic force analysis shows a 50% increase in L/D ratio of the slotted aerofoil with slot position at X=70%, but its aerodynamic performance was still less than the Plain NACA0018. Thus this work proves that the suggested slot layout did not improve the aerodynamic performance of the NACA0018 aerofoil and as a result, it cannot be recommended to be used as a vertical axis wind turbine rotor. Finally, in order to improve the NACA0018 aerofoil performance, it was suggested that a new slot layout with slot slope on the pressure side inclined towards the leading edge should be designed and studied.
Validation of the ICRF antenna coupling code RAPLICASOL against TOPICA and experiments

In this paper we validate the finite element code RAPLICASOL, which models radiofrequency wave propagation in edge plasmas near ICRF antennas, against calculations with the TOPICA code. We compare the output of both codes for the ASDEX Upgrade 2-strap antenna, and for a 4-strap WEST-like antenna. Although RAPLICASOL requires considerably fewer computational resources than TOPICA, we find that the predicted quantities of experimental interest (including reflection coefficients, coupling resistances, - and -matrix entries, optimal matching settings, and even radiofrequency electric fields) are in good agreement provided we are careful to use the same geometry in both codes.
THE IMPACT OF CELEBRITY ENDORSEMENT ON PURCHASE INTENTION OF LOCAL SKINCARE BRAND: THE ROLE OF PERCEIVED QUALITY AND PERCEIVED VALUE

The main objective of this study is to explore the role of celebrity endorsement in generating consumer purchase intent while taking into account perceived value and perceived quality in relation to local skincare brands. in local skincare brands. This study used a survey approach in collecting data. Online research questionnaires were distributed to target respondents. Sampling was carried out using a purposive sampling technique with the criteria of skincare consumers who know local skincare brands and celebrities who endorse the brand. There were 153 responses from respondents that were valid and can be used for analysis. The results of this study demonstrate that the influence of celebrity endorsement and perceived quality on purchase intention is significant. It has been demonstrated that perceived quality helps to moderate the impact of celebrity endorsement on consumers' intention to buy. Celebrity endorsement, moreover, has been shown to influence perceived value. However, perceived value does not affect purchase intention. Hence, it has not been demonstrated that perceived value mediates the impact of celebrity endorsement on purchase or buying intention. The use of celebrity endorsements is able to encourage consumer purchase intentions so that companies should pay attention to the factors in selecting celebrities who will be invited to cooperate to promote products so that the perception of quality as well as the value formed by consumers is in accordance with company targets
DTD: An Intelligent Data and Bid Dual Truth Discovery Scheme for MCS in IIoT

Mobile crowdsensing (MCS) is a crucial component in the Industrial Internet of Things (IIoT), mainly due to its role in collecting data and enhancing applications. Nonetheless, it faces challenges in maintaining data quality and cost efficiency. Low-quality workers and their deceptive data bids undermine the trustworthiness of MCS data collection. Despite this, prior studies have not sufficiently scrutinized the validity of data and bids. These issues could render MCS services ineffective and unaddressed, hindering IIoT development. In response, we propose an Intelligent Data and Bid dual truth discovery (DTD) scheme. Initially, the scheme applies a detection algorithm to identify the features of ground truth data sensed by unmanned aerial vehicles. The approach uses features to evaluate the data trust from unknown workers and filter out low-quality workers. Subsequently, the scheme evaluates the bid trust from reliable workers by calculating their bid confidence intervals. Upon completing this assessment, the scheme identifies high-quality workers. This process hinges on a contribution value incorporating both data and bid trust. Ultimately, the scheme assigns these high-quality workers to sense the subsequent tasks. This approach significantly improves the data quality and reduces costs for MCS in IIoT. The experimental results demonstrated that the DTD scheme outperforms the existing main schemes in terms of sensitivity (improvement 44%), specificity (improvement 5%), accuracy (improvement 18%), and F1-score (improvement 47%). It also reduced data bias by 24 percentage points and reduced costs by 38 percentage points.
The Effect Of Service Quality and Price On Customer Satisfaction and Loyalty in Telkomsel Cellular Operator Services

The rapid development of cellular technology is directly proportional to internet penetration which continues to grow yearly. This certainly results in the emergence of intense competition between cellular operator companies in Indonesia. The fierce competition between operators at this time forces all telecommunications companies to wage a price war to secure loyal customers and increase market share in the future. Telkomsel is the telecommunications company with the largest number of subscribers in Indonesia. Still, Telkomsel is also a cellular operator that ranks first as the cellular operator with the most customer complaints, according to a survey by the Indonesian consumer institute foundation in 2021. Based on this phenomenon, this study aims to analyze "The Influence of Service Quality and Price on Customer Satisfaction and Loyalty in Telkomsel Cellular Operator Services. " The aspects of service quality studied are reliability, assurance, tangible, empathy, responsiveness, network aspects, and convenience. The method used in this study is a quantitative method with data collection techniques distributing questionnaires. The sampling technique used is non-probability sampling with a purposive sampling method. The sample to be studied is 400 respondents who use Telkomsel cellular operator services throughout Indonesia. The study's results indicate a positive and significant influence of service quality (reliability, assurance, tangible, empathy, responsiveness, network aspects, convenience) and price on customer satisfaction (customer satisfaction). There is a positive and significant influence of customer satisfaction on customer loyalty and a positive and significant effect of service quality and price on customer loyalty through customer satisfaction.
Linear Spectropolarimetry Of Herbig Ae/Be Stars

This thesis presents the results of FORS2 and ISIS spectropolarimetric observations of a total of 28 Herbig Ae/Be stars. The results on the X-shooter spectroscopic observations and PIONIER interferometric observations of two early Herbig Be stars PDS 27 and PDS 37 are also presented. The FORS2 medium resolution spectra cover the entire optical range, and comprise the largest spectropolarimetric wavelength coverage, 4560 Å to 9480 Å, published to date. In this range, the spectra of the targets show numerous spectral lines predominantly in emission including hydrogen recombination lines, Ca ii, He i, Fe ii, O i and a number of forbidden lines. A change in linear polarisation across the Hα line is detected in most objects. Such a line effect reveals the fact that stellar photons are scattered off free electrons that are not distributed in a spherically symmetric volume, suggesting the presence of small disks around these accreting objects. Thanks to the large wavelength coverage of the FORS2 data, it can be reported that Hα is the spectral line in the optical wavelength range that is most sensitive to revealing deviations from spherical symmetry, and the one most likely to show a line effect across the polarisation in such cases. Few other spectral lines display changes in polarisation across the line. In addition, Hα is the only line which shows an effect across its absorption component in some sources. A scenario is presented to explain this finding and demonstrate that the detection of the line effect strongly relies on the number of photons scattered into our line of sight. The analysis of spectral lines and photometry shows that PDS 27 and PDS 37 are hot, massive and young in their evolution and may become O-type stars. In addition, these two objects have very active circumstellar environment evidenced by a strong wind, strong polarisation and IR excess. The near infrared interferometric results confirm the spectropolarimetric results of the presence of a circumstellar disk around these two objects and also suggest that the objects have a possible companion. The first spectropolarimetry of Herbig Ae/Be stars across He i line at 1.083 μm is also presented to trace the inner accretion regions of the disk. Due to the fact that the resolution was not sufficient, the data did not show a strong indication of the line effect. Finally, the first statistical spectropolarimetric investigations of a sample of 56 Herbig Ae/Be stars are provided. The results show that the detection rate of the line effect is very high (75 %), implying that most of Herbig Ae/Be stars possess a disk. The statistical results might suggest that Herbig Ae stars form in the same manner as T Tauri stars via magnetospheric accretion while Herbig Be stars could have a different accretion mechanism.
Meta-Analysis of Clinical Trials With Sparse Binary Outcomes Using Zero-Inflated Binomial (ZIB) Models

Abstract In meta-analysis of clinical trials, standard statistical methods run into problems when the proportions of safety events are small. Motivated by the dataset used in a published analysis of cardiovascular safety in Rosiglitazone trials, this article proposes using a zero-inflated binomial model to handle the zero-event trials. The maximum likelihood estimates of the model parameters are obtained using the expectation and maximization algorithm. Via simulation studies, it is shown that the proposed methods provide estimates of odds ratios with less bias and variation, compared with both the Mantel–Hanszel method with continuity correction and Peto’s method. The proposed methods are applied to the Rosiglitazone trials. Supplementary materials for this article are available online.
Efficient Sampling of Bandlimited Graph Signals

We study the problem of sampling and reconstructing bandlimited graph signals where the objective is to select a subset of nodes of pre-specified cardinality that ensures interpolation of the original signal with the lowest possible reconstruction error. First, we consider a non-Bayesian scenario and propose an efficient iterative sampling procedure that in the noiseless case enables exact recovery of the original signal from the set of selected nodes. In the case of noisy measurements, a bound on the reconstruction error of the proposed algorithm is established. Then, we consider the Bayesian scenario where we formulate the sampling task as the problem of maximizing a monotone weak submodular function, and propose a randomized-greedy algorithm for finding a sub-optimal subset. We derive the worst-case performance guarantee on the mean-square error achieved by the randomized-greedy algorithm for general non-stationary graph signals. We further study the problem of identifying unknown support of bandlimited signals and show that under a pragmatic sufficient condition, the proposed framework perfectly discovers the support using a small number of samples. The efficacy of the proposed methods is illustrated through numerical simulations on synthetic and real-world graphs.
Inhibition of bacterial adhesion and anti-biofilm effects of Bacillus cereus and Serratia nematodiphila biosurfactants against Staphylococcus aureus and Pseudomonas aeruginosa

Background and Objectives: Biosurfactants are amphiphilic surface-active agents that mainly produced by various microorganisms. In this study, the anti-biofilm and inhibition of bacterial adhesion activities of two bacterial biosurfactants were investigated. Materials and Methods: After extraction and evaluation of Bacillus cereus and Serratia nematodiphila biosurfctants, inhibition of bacterial adhesion and anti-biofilm effects of them on Staphylococcus aureus and Pseudomonas aeruginosa were determined. Results: On average, the synergistic effect of two bacterial biosurfactants, caused about 60% decrease in adhesion and about 80% decrease in biofilm formation of S. aureus and P. aeruginosa. Conclusion: The results of this study showed that combination of B. cereus and S. nematodiphila biosurfactants would increase the potential of attachment inhibition and biofilm eradication with very low toxicity.
Automatic Fault Classification for Journal Bearings Using ANN and DNN

Journal bearings are the most common type of bearings in which a shaft freely rotates in a metallic sleeve. They find a lot of applications in industry, especially where extremely high loads are involved. Proper analysis of the various bearing faults and predicting the modes of failure beforehand are essential to increase the working life of the bearing. In the current study, the vibration data of a journal bearing in the healthy condition and in five different fault conditions are collected. A feature extraction method is employed to classify the different fault conditions. Automatic fault classification is performed using artificial neural networks (ANN). As the probability of a correct prediction goes down for a higher number of faults in ANN, the method is made more robust by incorporating deep neural networks (DNN) with the help of autoencoders. Training was done using the scaled conjugate gradient algorithm and the performance was calculated by the cross entropy method. Due to the increased number of hidden layers in DNN, it is possible to achieve a high efficiency of 100% with the feature extraction method.
Multi-epoch L-band Spectroscopy of the Be Star μ Centauri Prior to Outburst

With the aim of contributing to the understanding of the disk formation process in Be stars, we pursued a one-year spectroscopic observing campaign of the Be star μ Centauri in the L-band, using VLT/ISAAC. We present the nine near-IR spectra we obtained in an epoch of relative photometric quiescence prior to an outburst of ΔV = 0.4 magnitude. Visual estimates during the epoch of our L-band spectroscopy are also presented for the first time, together with the unpublished complete visual light curve between the years 1998 and 2014. We observe significant and monotonic changes in emission line strength of Bracket-α and Pfund-γ lines relative to Humphreys lines, and also in the continuum slope. We interpret these observed changes in terms of important changes to the column density of the line emitting regions, moving from an optically thin to an optically thick stage just prior to a major outburst. For each observing date, we provide estimates for the column density and relative extension of the line emitting region. If the changes observed toward the end of our observing campaign were related to mass-loss changes from the central star, they would correspond to an increase in a factor of two in the mass of the disk in the innermost region. If related to the visual outburst observed one month later, the variability observed in our spectra would be the first detection of the early disk formation process in the L-band.
MULTIPLE PATH PARTICLE DOSIMETRY MODEL CONCEPT AND ITS APPLICATION TO DETERMINE RESPIRATORY TRACT HAZARDS IN THE 3D PRINTING

The Multiple Path Particle Dosimetry (MPPD) model is computer software that estimates and visualizes the deposition, clearance, and retention of particles in the respiratory tract systems of humans, rats, and other species. The mathematical model provides a broad spectrum of settings and input options. This research aims to explore the MPPD model concept and determine the deposition fraction (DF), clearance, and retained mass in the human respiratory tract (HRT) based on the geometric mean diameter (GMD) and mass concentration (MC) of particulate matter (PM) emitted during the 3D printing process. We used the real-time air sample data collected during the 8-hour working shift in the 3D printing office. Ultrafine PM deposits mainly in lungs (56%), fine PM mostly deposits in the upper respiratory tract (URT) (41%) and lungs (39%), but coarse PM mostly deposits in the URT (81%). The biggest DF in lower respiratory tract is ultrafine PM (487 μg), the smaller DF is coarse PM (185 μg) and the smallest DF is fine PM (123 μg). The biggest DF in lung for all PM - lower lobes (fine PM - 60%, ultrafine PM, coarse PM - 61%). In a model, where exposure was 5 hours a day, five days a week, during one month, followed by one year of post-exposure period, it was shown that retained mass in the tracheobronchial (TB) region was 1% for ultrafine and coarse PM each, 2% for fine PM, and 55% for all PM in the pulmonary region. The MPPD software is an easily accessible and valuable tool for assessing the impact of PM on the HRT. Particulate matter decreasing in diameter, tend to deposit mostly in the deeper levels of HRT. Tracheobronchial region clearance is more rapid than pulmonary region clearance. Potentially for persons using the 3D-printer regularly the worst health impact could be associated with smaller size of PM, due to tendency deposit mostly in pulmonary region where the clearance rate is slower.
Automated Surveillance on Roads for Helmet Detection and Number plate Detection

The major cause of deaths and disabilities among motorbike users are head that is traumatic caused as a result of neglect in wearing helmets. The way that is only check the increase in this statistics is by maintaining strict surveillance on business and roads. Current surveillance styles involve the use of large force with business police sitting behind defenses showing CCTV footages of roads. Since this system is exhausting and tedious, proposals have been made to make road surveillance automated and effective. With advancements in the field of object findings and machine knowledge, several styles have been accepted to make this a reality.
Damage Identification of HAWT Blade using Ordinary Linear Kriging Method and Variation of Blade’s Modal Parameters

Wind turbine blades operate in a harsh environment causing them to always be susceptible to damage. Variable wind loading, debris impact, and thermal gradient, among other factors, can cause damage to the blades. Detection of blade damage at early stages can prevent massive cost associated with turbine down-time and blade replacement. In this work, a vibration-based method is presented to detect damage at early stages. The presented method takes advantage of the effect of crack on modal parameters of the blades vibration. Finite element model (FEA) is constructed for both healthy and damage blade to study that effect. Power spectral density (PSD) plots of the blade’s vibration before and after damage are compared and the changes in the resonant modal amplitudes frequencies are identified. To minimize the number accelerometers needed to monitor the health of the blade and without compromising the accuracy of damage predictions, ordinary kriging method is used to predict cracks in the blade’s structure. Kriging uses modal parameter data, experimental or otherwise, to estimate damage location on the blade. It creates a map of damage predictions throughout the region use measurements from far less sensors than common techniques. Damage characteristics estimates using the proposed method showed damage attributes predictions with accuracy greater than 93 %. Simulation is used to validate the proposed method and the results are discussed.
Using an Arduino and cheap thermistor to make a simple temperature sensor

The Arduino is a low-cost microcontroller which is easy to adapt into a versatile data-logger. I aim to show that using very readily available NTC thermistors, which are regularly used in schools and colleges, we can make a temperature sensor allowing students to extend the classic resistance-temperature experiment into a useful digital thermometer that can be used in many other classroom experiments.