Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Influencing Smartphone Owners' Acceptance of Biometric Authentication Methods

Smartphones are the world's most widely used personal computing devices. PINs and passcodes have long been the most popular authentication methods in smartphones and even in the pre-smartphone era. Due to the inconvenient nature of PINs and passcodes, a new biometric authentication method for smartphones was developed and has been gaining traction in terms of adoption, beginning with flagship devices and progressing to some mid-range devices. This article aims to investigate the factors influencing smartphone owners' acceptance of biometric authentication methods by developing a new model based on the Technology Acceptance Model (TAM). It also validates the data with survey data from 233 Indonesian smartphone owners via an online survey and analyzed it using Structural Equation Modeling (SEM). The results from the SEM analysis show that all nine hypotheses in the proposed model are supported. In other words, all six factors in the proposed model (i.e., attitude toward the use, perceived usefulness, perceived the ease of use, perceived enjoyment, perceived security, and social influence) have significant effects on the behavioral intention of adopting biometric authentication methods among smartphone owners. More specifically, the findings indicate that most Indonesian smartphone users have a favorable attitude toward biometric authentication, which is why they are willing to adopt it. Furthermore, it is discovered that the perceived usefulness of a biometric authentication method on smartphones outweighs its perceived ease of use. It reveals that the user's belief in the intrinsic value of biometric authentication methods in the form of perceived security outweighs both the internal user motivation of perceived enjoyment and the external user motivation of social influence in terms of their acceptance of biometric authentication methods.
The Nexus between Green Perceived Quality, Green Satisfaction, Green Trust, and Customers’ Green Behavioral Intentions in Eco-Friendly Hotels: A Structural Equation Modeling Approach

With the growing awareness of the climate change effects, hotel customers progressively intend to favor green products and services that minimize adverse environmental effects. The key factors affecting customers’ green behavioral intentions in the hospitality industry context are still under research. Accordingly, this study primarily aims at empirically investigating the nexus between green perceived quality (GPQ), green satisfaction (GS), green trust (GT), and customers’ green behavioral intentions (CGBIs) in a sample of five-star eco-friendly hotels in Egypt. More specifically, the study first endeavors to investigate the direct impact of GPQ on GS, GT, and CGBIs besides exploring the direct impact of GS and GT on CGBIs in addition to examining the potential effect of GS and GT as mediators in the nexus between GPQ and CGBIs. To achieve the study’s aim and associated objectives, a self-administrated questionnaire was developed and distributed to a convenience sample of local guests staying at certified five-green star hotels. A total of 500 questionnaires were distributed, and only 304 valid forms, representing 60.8%, were used in the statistical analysis. Seven hypotheses, reflecting the direct and indirect relationships between study constructs, were examined by using Structural Equation Modeling (SEM) with bootstrapping technique. The study findings revealed that GS, GT as well as CGBIs are significantly positively affected by GPQ, respectively. Furthermore, GT and GS have a significant positive effect on CGBIs. Moreover, GT as well as GS partially mediate the nexus between GPQ and CGBIs. From the previous findings, it could be concluded that the increase in investment in enhancing GPQ significantly contributes to the improvement in GS, GT, and CGBIs. Additionally, the higher the GT, GPQ, and GS, the greater the revisit intention to green hotels, positive green word-of-mouth (GWoM), and intention to pay a premium for staying in environmentally friendly hotels. As a result, for enhancing CGBIs and sustaining a customer-hotel long-term relationship, hotel operators should make efforts towards maintaining GT, improving GPQ, and increasing customers’ GS as key predictors of CGBIs in the hotel industry context.
Orofacial Central HyperSensitivity Syndromes: Concept, Pathophysiology, Clinical Manifestations and Therapeutic Considerations

The significant progress in scientific knowledge that Medicine and the rest of the health disciplines have experienced, especially since the late nineteenth century, have improved both the diagnostic accuracy and the medical and surgical treatments of the diseases that have historically most seriously threatened humanity (childhood diseases, respiratory and gastrointestinal infectious diseases, cardiovascular diseases, cancer). This fact has led to a rapid increase in population, a shift of the age pyramid towards older segments and the emergence of new clinical entities that, while not fatal, have in common a multifactorial etiopathogenesis and pathophysiology (genetics, epigenetics, hormones, immunity, stress, dietary, weather fluctuations.), a
Development of the Composite Thermoluminescent Detectors Based on the Single Crystalline Films and Crystals of Perovskite Compounds

This work is dedicated to the development of new types of composite thermoluminescent detectors based on the single crystalline films of Ce-doped GdAlO3 perovskite and Mn-doped YAlO3 and (Lu0.8Y0.2)AlO3:Mn perovskites as well as Ce and Pr-doped YAlO3 single crystal substrates. These detectors were obtained using the Liquid Phase Epitaxy growth method from the melt solution based on the PbO-B2O3 fluxes. Such composite detectors can by applied for the simultaneous registration of different components of mixed ionization fluxes using the differences between the thermoluminescent glow curves, recorded from the film and crystal parts of epitaxial structures. For creation of the new composite detectors, we considered using, for the film and crystal components of epitaxial structures (i) the different perovskite matrixes doped with the same type of activator or (ii) the same perovskite host with various types of activators. The thermoluminescent properties of the different types of epitaxial structures based on the abovementioned films and crystal substrates were examined in the conditions of β-particles and X-ray excitation with aim of determination of the optimal combination of perovskites for composite detectors. It was shown that, among the structures with all the studied compositions, the best properties for the simultaneous thermoluminescent detection of α- and X-rays were the GdAlO3:Ce film/YAlO3:Ce crystal epitaxial structure.
A New Role for Epidurography: A Simple Method for Assessing the Adequacy of Decompression during Percutaneous Plasma Disc Decompression

Percutaneous plasma disc decompression (PPDD) is a minimally invasive treatment for discogenic low back pain and herniated disc-related symptoms. However, there are no known outcome predictive variables during the procedure. The purpose of this study was to evaluate and validate epidurography as an intra-procedure outcome predictor. We retrospectively enrolled 60 consecutive patients who did not respond to conventional treatments. In the next stage of treatment, PPDD was performed, and the epidurography was conducted before and after the PPDD. We analyzed the relationship between epidurographic improvement and the success rate. The Numerical Rating Scale and the Oswestry Disability Index were used to assess pain and functional capacity, respectively, before the procedure and 1 month after the procedure. The pain reduction and the success rate in the epidurographic improvement group were significantly higher than in the epidurographic non-improvement group. Both the Numerical Rating Scale and the Oswestry Disability Index scores were significantly reduced in both groups, but there was no significant difference in Oswestry Disability Index scores. This study’s results showed that PPDD is an effective treatment method. We also suggested that epidurography may be a potential outcome predictor for ensuring successful outcomes and determining the endpoint of the procedure.
Parallel network using intrinsic component filtering for rotating machinery fault diagnosis

Machine learning is gradually applied to the fault diagnosis system of rotating machinery. However, the fault diagnosis system can only classify and identify the fault types previously trained by the model in the system. If the system is required to identify more types of faults, all the untrained new fault types and previously trained fault types need to be input into the model to retrain. Under the current background of big data, the upgrade time of fault types will be relatively long. To solve this problem, a parallel network model based on intrinsic component filtering (PICF) is proposed, in which each type of sample is trained separately, and then each type of training model is reduced in dimension, and finally the model we need is combined. The fault diagnosis framework based on the PICF is proposed. Firstly, the framework divides the input fault samples into training samples and test samples. Then the training samples are randomly segmented and input into the PICF training model, then the activation function is introduced to activate the training features and test features, and finally the softmax classifier is used for classification. The sparsity of order fault training in parallel network is discussed and the influence of sample segment number and nonlinear activation function on diagnosis is studied. Compared with other deep learning methods, the experiment results of the bearing and gearbox show that the proposed method can not only achieve higher fault classification accuracy under small sample training, but also update the model efficiently without reducing the diagnosis accuracy when increasing fault types.
Fundamental Issues of Critical Heat Flux Phenomena During Flow Boiling in Microscale-Channels and Nucleate Pool Boiling in Confined Spaces

This article presents a comprehensive literature review on the fundamental issues of critical heat flux (CHF) during flow boiling and nucleate pool boiling in microscale channels and confined spaces. First, distinction between macro- and micro-scale channels is discussed. Then the CHF mechanisms are discussed. Next, experimental and theoretical studies of subcooled flow boiling CHF in microscale channels together with the prediction methods are reviewed and analyzed. Following this, experimental and theoretical studies on saturated flow boiling CHF together with the prediction methods are summarized and discussed. Furthermore, experimental and theoretical studies on nucleate pool boiling CHF in confined spaces together with the relevant prediction methods are reviewed as well. So far, limited studies on CHF microscale channels and confined spaces are available in the literature. There are numerous discrepancies in the existing studies on CHF results, mechanisms, and prediction methods. Furthermore, there are no generalized prediction methods for CHF in microscale channels and confined spaces. According to this review, future research needs for the experiments, mechanisms, and prediction methods of CHF phenomena in microscale channels and confined spaces have been addressed.
A calculation method for developing turbulent flow in rectangular ducts of arbitrary aspect ratio

This paper describes a full Reynolds stress transport equation model for predicting developing turbulent flow in rectangular ducts. The pressure-strain component of the model is based on a modified form of the Launder, Reece and Rodi pressure-strain model and the use of a linear wall damping function. Predications based on this model are compared with predications referred to high Reynolds number and low Reynolds number {kappa}-{epsilon} transport equation models and with experimental data taken in square and rectangular ducts. The results indicate that the proposed model yields improved predictions of primary flow development and Reynolds stress behavior in a square duct. The proposed model also yields Reynolds stress anisotropy and secondary flow levels that are compatible and agree well with experiment, without recourse to a quadratic damping function to model near-wall pressure-strain behavior.
Recruitment Marketing - a Bibliometric analysis

Purpose: The purpose of the study is to conduct a Bibliometric analysis of Recruitment Marketing. Theoretical framework: Recruitment Marketing is a technique that has evolved recently to nurture candidates before they apply for a job. Understanding and applying recruitment marketing techniques is essential to retain a talent pool. Since Recruitment Marketing is a new strategy, there is still much to research and discover. Design/methodology/approach: The current scenario of publications from 2000-2020 on Recruitment Marketing listed in the Clarivate Web of Science database was explored in this bibliometric study. To build a bibliometric map, descriptive and inferential statistical methods were utilized. Bibliometric analysis was performed using R-based software Biblioshiny. Findings: The findings revealed that the topic is not well established in the literature but has scope for growth in the coming future. The results reported that only very few studies were undertaken in the area of recruitment marketing globally. USA and Australia are the countries which contributed articles in this area when compared to other countries. The most commonly used words are 'loyalty,' 'attraction,' and 'conceptual-model'. New developments in recruitment marketing have not been sufficiently studied and understood logically and concisely. This study utilized a conceptual framework to organize and analyze the field's various research streams and themes. These themes and subthemes have suggested research recommendations and crucial research areas. Research, Practical & Social implications: Authors recommend in-depth study for the future and identify the areas that need more exploration. The current study can help researchers and recruiters to analyze the upcoming recruiting trends and strategies. Originality/value: The study is found to be primary and original research that contributes to the bibliometric representation of recruitment marketing.
Three-Dimensional Kinematic and Microphysical Evolution of Florida Cumulonimbus. Part II: Frequency Distributions of Vertical Velocity, Reflectivity, and Differential Reflectivity

Abstract High-resolution radar data collected in Florida during the Convection and Precipitation/Electrification Experiment are used to elucidate the microphysical and kinematic processes occurring during the transition of a multicellular storm from convective to stratiform stages. A statistical technique is employed to examine the evolving properties of the ensemble small-scale variability of radar reflectivity, vertical velocity, and differential reflectivity over the entire storm. Differential radar reflectivity data indicate that the precipitation at upper levels was nearly glaciated early in the storm's lifetime. Dual-Doppler radar data show that throughout the storm's lifetime both updrafts and down-drafts were present at all altitudes and that most of the volume of the radar echo contained vertical velocities incapable of supporting precipitation-size particles. Thus, the ensemble microphysical properties of the storm were increasingly dominated by particles falling in an environment of weak vertic.
Dynamic Behavior of the Upper Solar Atmosphere: SUMER/SOHO Observationsof Hydrogen Lyman Lines

We present first observations of the temporal evolution of hydrogen Lyman lines, made by the Solar Ultraviolet Measurements of Emitted Radiation (SUMER) spectrometer on the Solar and Heliospheric Observatory. A time series of about 33 minutes was obtained on 1997 June 5. The entrance slit has crossed a quiet-Sun region of 115. ″3 with two internetwork structures (cells) and the bright network regions. A data set of 59 spectra with30 s exposure time was obtained, using the SUMER tracking system to compensate for the solar rotation. For our analysis, we have selected a Lyman continuum window around 907 Å and the three Lyman lines Ly5, Ly9, and Ly15, which are formed at different depths in the upper chromosphere. In the cell interiors, we have detected significant periodic intensity variations with a Fourier transform power peak at 3.3-3.5 minutes, which is consistent with 3 minute internetwork oscillations. They seem to be associated with spatially unresolved "clusters" of grains. In the bright network regions, we detect slower oscillations of 6.9-7.6 minutes. These waves seem to propagate upward as we deduce from a phase shift between the three Lyman lines studied. The phase velocity was estimated to be roughly 3 km s-1 in the network. Finally, we discuss the potential usefulness of the hydrogen Lyman lines for diagnostics of the temperature structure of the upper solar atmosphere. Our observations, in particular the fact that we see all Lyman lines in emission all of the time, put certain constraints on the temperature gradients above the region in which numerical simulations do predict a decrease of the mean kinetic temperature.
An introduction to acoustic emission

The technique of acoustic emission (AE) uses one or more sensors to 'listen' to a wide range of events that may take place inside a solid material. Depending on the source of this high frequency sound, there are broadly three application areas: structural testing and surveillance, process monitoring and control, and materials characterisation. In the first case the source is probably a defect which radiates elastic waves as it grows. Provided these waves are detectable, AE can be used in conjunction with other NDT techniques to assess structural integrity. Advances in deterministic and statistical analysis methods now enable data to be interpreted in greater detail and with more confidence than before. In the second area the acoustic signature of processes is monitored. In the third area, AE is used as an additional diagnostic technique for the study of, for instance, fracture, because it gives unique dynamic information on defect growth.
Polysaccharide-Based Composite Hydrogels as Sustainable Materials for Removal of Pollutants from Wastewater

Nowadays, pollution has become the main bottleneck towards sustainable technological development due to its detrimental implications in human and ecosystem health. Removal of pollutants from the surrounding environment is a hot research area worldwide; diverse technologies and materials are being continuously developed. To this end, bio-based composite hydrogels as sorbents have received extensive attention in recent years because of advantages such as high adsorptive capacity, controllable mechanical properties, cost effectiveness, and potential for upscaling in continuous flow installations. In this review, we aim to provide an up-to-date analysis of the literature on recent accomplishments in the design of polysaccharide-based composite hydrogels for removal of heavy metal ions, dyes, and oxyanions from wastewater. The correlation between the constituent polysaccharides (chitosan, cellulose, alginate, starch, pectin, pullulan, xanthan, salecan, etc.), engineered composition (presence of other organic and/or inorganic components), and sorption conditions on the removal performance of addressed pollutants will be carefully scrutinized. Particular attention will be paid to the sustainability aspects in the selected studies, particularly to composite selectivity and reusability, as well as to their use in fixed-bed columns and real wastewater applications.
Cardiorespiratory Fitness, Obesity and Physical Activity in Schoolchildren: The Effect of Mediation

There are only a few studies that have examined the interaction between physical activity (PA), cardiorespiratory fitness (CRF), and overweightness/obesity in adolescents, and these studies have shown some limitations. The objective of this study was to examine whether the association between PA (moderate–vigorous PA [MVPA], moderate PA [MPA], and vigorous PA [VPA]) and obesity is mediated by CRF. This cross-sectional study was conducted in six middle and high-schools in the Porto district (Portugal), comprising 632 children and adolescents. Fat mass (FM), CRF, MVPA, MPA, and VPA were assessed. The Process macro for SPSS was used. CRF was significantly associated with PA for both children and adolescents. Likewise, FM was negatively and significantly associated with CRF for both children (β = −0.337) and adolescents (β = −0.255). FM was associated with PA in children (MVPA: β = −0.102; MPA: β = −0.118; VPA: β = −0.305) and adolescents (MVPA: β: −0.103; MPA: β = −0.082; VPA: β = −0.204). The mediation analysis showed that the association between PA (MVPA//MPA/VPA) and obesity was mediated by CRF, in both children and adolescents, with a significant value in the Sobel test. Obesity is associated with CRF and MVPA, MPA, and VPA. However, CRF acted as a complete mediator between the association of obesity and PA.
Pengaruh Website UMKM terhadap Minat Beli Konsumen

Website plays an important role for micro, small, and medium enterprises (MSME) to introduce the product and develop their business. This research aims to investigate the factors that influence brand trust and the consumer intention to buy the product through the website of MSME. Quantitative research was performed by online survey with a purposive sampling method involving 196 respondents who have purchased through the website of MSME. Structural Equation Modelling was used to analyze the data. The findings of the study indicate that the website appearance was the factor that builds consumers’ trust in the brand which finally drives the intention to buy online. Website memegang peranan penting bagi usaha mikro, kecil, dan menengah (UMKM) untuk memperkenalkan produk dan mengembangkan usahanya. Penelitian ini bertujuan menggali faktor-faktor yang dapat memengaruhi kepercayaan terhadap brand dan minat beli konsumen untuk berbelanja melalui website UMKM. Penelitian kuantitatif dilakukan dengan survei daring dengan metode purposive sampling melibatkan 196 responden yang berbelanja melalui website UMKM. Structural Equation Modeling digunakan untuk menganalisis data. Hasil penelitian menunjukkan bahwa tampilan website merupakan faktor yang membangun kepercayaan terhadap suatu brand yang akhirnya mendorong minat konsumen dalam berbelanja secara daring.
Long-wavelength quantum-well infrared detectors based on intersubband transitions in InGaAs/InP quantum wells

In0.53Ga0. 47As/InP infrared detectors with peak absorption at a wavelength of 8.5 micrometers have been fabricated and tested. It is shown that very high current responsivities and high gain are obtained. It is found that gain increases drastically when approaching detector voltages close to -8.5 V, which is explained by carrier impact excitation of electrons from the QW ground state to the excited extended state. The detectivity D* is about 1.2(DOT)1010 cm Hz1/2 W-1 at 80 K for a 45 degree(s) polished edge detector assuming unpolarized radiation. Grating coupling is studied by etching crossed gratings into the upper part of the mesas. The increase in responsivity as compared to a polished edge detector is by a factor of 2.5 to 3, irrespective to mesa sizes 500 X 500 or 150 X 150 micrometers 2. This gives a corresponding detectivity of (3 - 3.5)(DOT)1010 cm Hz1/2 W-1 at 80 K for unpolarized radiation.