Miracle-dz/UniFAR-FTUs huggingface dataset:
Temporal and spatial evolution characteristics of two-phase flow pattern based on image texture analysis

In order to study the temporal and spatial evolution characteristics of gas-liquid two-phase flow structure,a high-speed dynamic camera was utilized to acquire the dynamic image information of seven typical gas-liquid two-phase flow patterns in vertical and inclined 30° upward pipes with the testing ranges of superficial water velocity 0.02—0.4 m·s-1 and superficial gas velocity 0.005—2.7 m·s-1.The gray level co-occurrence matrix(GLCM)was used to quantitatively characterize 2D information in the local neighborhood of image for analyzing flow pattern image features and the four time-varying characteristic parameter indices which represented image texture structures of different flow patterns were extracted.Then the transition of flow structure in the development process of flow patterns and calculated Lempel-Ziv sequence complexity of the four time-varying characteristic parameter indices were analyzed,and compared with the complexity measurement,fractal scale and recurrence plot determinism calculated by conductance fluctuating signals.The study showed that the dynamic parameter evolution trends of flow pattern image texture structure characteristics described the variation of different flow pattern structures and dynamics complexity,and the correlation index(COR)was more effective to reflect the complexity of flow pattern dynamics than others.It indicated that the proposed dynamic image analysis method was helpful to understanding the flow pattern temporal and spatial evolution characteristics and also was an effective approach to identifying the gas-liquid two-phase flow patterns.
Academic Adaptation of Young Returnee Teachers from the Perspective of Social Capital: A Case Study of Humanities and Social Sciences in Universities in Guangzhou

In order to create a more attractive environment for the development of overseas returnee talents, China government has formulated a more active, efficient and open talent introduction policy. The adaptation of returnees is very important to play their full role in innovation. Guided by the theory of social capital, 23 young teachers who had returned to China for 2 - 10 years were selected to study their academic adaptation. It is found that there is structural dislocation in the distribution of relationship network among young returnee teachers. In order to overcome this problem, young returnee teachers adopt the strategies of letting nature take its course, expanding their interpersonal relationship and conversion their relationships. It is necessary for university to give the social support and the internationalization of academic management to help the returnee teachers academic adaptation.
Vehicle Trajectory Prediction Method Based on “Current” Statistical Model and Cubature Kalman Filter

Vehicle motion trajectory prediction is the basis of vehicle collision early warning or vehicle conflict resolution. In order to improve the accuracy of trajectory prediction, a vehicle trajectory prediction method based on “current” statistical (CS) model and cubature Kalman filter (CKF) is proposed. This method considers the acceleration variation rules in the actual motion process of the vehicle in the state equation, so that the estimated value of the acceleration can be consistent with the real range. This condition overcomes the limitation of the general trajectory prediction model, which ignores the acceleration change, so it improved prediction accuracy. In addition, this method also avoids the large amount of computational resources required, being that some new methods describe the real acceleration fluctuations. The vehicle trajectory at the intersection that crossed by Yingbin Avenue and Qiche Avenue in Nanchang is selected to verify the tracking performance of Constant Acceleration-Unscented Kalman Filter (CA-UKF), Current Statistical-Unscented Kalman Filter (CS-UKF), and CS-CKF models. The results show that the CS-CKF model has superior prediction effectiveness than the CA-UKF and CS-UKF models, and it improves the accuracy of vehicle motion trajectory prediction.
The Influence of Three-Year Symmetrical Training on the Precision and Frequency of the Fencers’ Movement

Introduction: The assessment and comparison of the precision and frequency of movement in épée fencers representing various sport classes, and the determination of the influence of three-year symmetrical and unilateral training on dynamic asymmetry. Material and Methods: The research was conducted in 60 female épée fencers, who were divided into four groups according to the sport class they represent (n= 15). In group I there were medalists of the World and European Championships, in group II - medalist of the Polish Championships. Group III and IV consisted of players who achieved successes at the Warsaw Championships. After three years of symmetrical training, the tests were repeated in groups III and IV. The tests were carried out using the Vienna Test System with the aid of the Motor Performance Series device (S2 test), which allows the assessment of coordination skills in terms of fine motor skills. Results: In the conducted research, significant differences in the asymmetry of the upper limbs in the aiming and tapping tests were found in all data groups. The differences in the tests obtained with the dominant and non-dominant upper limb confirm the greatest dynamic asymmetry in the female fencers from the Masters Class. After three years of symmetrical training in the experimental group and unilateral training in the control group, statistically significant differences were observed in all the trials performed with the dominant and non-dominant upper limb. However, in the experimental group of épée fencers, the dynamic asymmetry in the aiming indicators was lower than in the control group. Conclusions: Dynamic asymmetry in terms of the precision and frequency of movement was recorded in all studied groups. High-class épée fencers were characterized by the most significant difference between the results obtained with the dominant and non-dominant upper limbs, which is the result of long-term unilateral training. The three-year symmetrical training conducted in the experimental group had a positive effect on the precision and frequency of movement, however, it did not prevent the occurrence of dynamic asymmetry in the participants. The unilateral training used in the control group further increased the asymmetry of movement in the sportswomen.
Hydraulic Planning in Insular Urban Territories: The Case of Madeira Island—São João Stream, Funchal, Portugal

This study’s primary goal was to conduct an analysis regarding the flood susceptibility of the main watercourse of the São João (Funchal) drainage basin. In addition, if proven necessary, we also aimed to suggest mitigation measures, such as sizing a detention basin and promoting adjustments of the riverbed’s roughness coefficient. This study also resorted to geomorphological data—obtained during the watershed characterization process—that were then utilized in the SIG ArcGIS software, in order to estimate the expected peak flow rate, considering a return period of 100 years using the Gumbel distribution. Finally, the Manning–Strickler equation was utilized to determine the river discharge point’s drainage capacity; the reason for that was to verify whether its drainage capacity was sufficient to drain the entire volume of rainwater associated with an extreme flood event. In summary, the results obtained by this study indicate that the drainage capacity of the river discharge point of the São João watershed (Funchal) is insufficient when considering an extreme flood event, for a return period of 100 years. Hence, it became necessary to explore the two aforementioned mitigation measures: first, regarding the detention basin, its sizing was calculated through both the Dutch method and the simplified triangular hydrograph method; second, aiming to increase the drainage capacity of the river discharge point, it is suggested that the roughness coefficient should also be modified.
Drag Coefficient Correction for Spherical and Nonspherical Particles Suspended in Square Microducts

Even though drag in creeping flow has been extensively studied in the past, recent developments in microfluidic technologies have led to a reevaluation of the drag equations that were theoretically derived for ideal cases. Stokes’ Law is the bulwark of equations describing drag in creeping flow, but it applies in cases of uniform flow around a spherical object. Empirical and theoretical corrections to the Stokes drag for other particle shapes have been proposed, as well as corrections that account for the presence of walls that affect the shape of the velocity profile around the particle. The present work utilizes computational fluid dynamics to investigate the validity and the differences between results obtained with these equations at low Reynolds number flows. In addition, simpler equations using the ratio of the diameter of the particle to the height of the channel and the aspect ratio of nonspherical particles are used to predict drag for particles that are spherical, ellipsoidal, and cylindrical in.
Fixed Points of Automorphisms of Compact Riemann Surfaces

In his fundamental paper [3], Hurwitz showed that the order of a group of biholomorphic transformations of a compact Riemann surface S into itself is bounded above by 84(g – 1) when S has genus g ≧ 2. This bound on the group of automorphisms (as we shall call the biholomorphic self-transformations) is attained for Klein's quartic curve of genus 3 [4] and, from this, Macbeath [7] deduced that the Hurwitz bound is attained for infinitely many values of g. After genus 3, the next smallest genus for which the bound is attained is the case g = 7. The equations of such a curve of genus 7 were determined by Macbeath [8] who also gave the equations of the transformations. The equations of these transformations were found by using the Lefschetz fixed point formula. If the number of fixed points of each element of a group of automorphisms is known, then the Lefschetz fixed point formula may be applied to deduce the character of the representation given by the group acting on the first homology group of the surface.
MEASUREMENTS OF CLOUD-DROPLET CHARGE, ELECTRIC FIELD, AND POLAR CONDUCTIVITIES IN SUPERCOOLED CLOUDS

Abstract Measurements have been made of the radii and free electric charges of cloud particles in supercooled cumuliform-type clouds which occurred at a 6580-ft MSL mountain observatory. Simultaneously, the positive and negative conductivities in the cloud and the atmospheric electric field at the site were recorded. The observed droplet charge distribution is symmetric about zero charge and approaches the equilibrium distribution described by the theory of random ionic diffusion electrification of cloud particles.
The Effects of Self-Polymerized Polydopamine Coating on Mechanical Properties of Polylactic Acid (PLA)–Kenaf Fiber (KF) in Fused Deposition Modeling (FDM)

This research examines the impact of self-polymerized polydopamine (PDA) coating on the mechanical properties and microstructural behavior of polylactic acid (PLA)/kenaf fiber (KF) composites in fused deposition modeling (FDM). A biodegradable FDM model of natural fiber-reinforced composite (NFRC) filaments, coated with dopamine and reinforced with 5 to 20 wt. % bast kenaf fibers, was developed for 3D printing applications. Tensile, compression, and flexural test specimens were 3D printed, and the influence of kenaf fiber content on their mechanical properties was assessed. A comprehensive characterization of the blended pellets and printed composite materials was performed, encompassing chemical, physical, and microscopic analyses. The results demonstrate that the self-polymerized polydopamine coating acted as a coupling agent, enhancing the interfacial adhesion between kenaf fibers and the PLA matrix and leading to improved mechanical properties. An increase in density and porosity was observed in the FDM specimens of the PLA–PDA–KF composites, proportional to their kenaf fiber content. The enhanced bonding between kenaf fiber particles and the PLA matrix contributed to an increase of up to 13.4% for tensile and 15.3% for flexural in the Young’s modulus of PLA–PDA–KF composites and an increase of up to 30% in compressive stress. The incorporation of polydopamine as a coupling agent in the FDM filament composite led to an improvement in tensile, compressive, and flexural stresses and strain at break, surpassing that of pure PLA, while the reinforcement provided by kenaf fibers was enhanced more by delayed crack growth, resulting in a higher strain at break. The self-polymerized polydopamine coatings exhibit remarkable mechanical properties, suggesting their potential as a sustainable material for diverse applications in FDM.
Complications of Charge Pumping Analysis for Silicon Carbide MOSFETs

Unexpected behavior is observed when charge pumping is performed on silicon carbide MOSFETs with a thermally grown silicon dioxide gate dielectric. Supported by experimental evidence, two root causes are proposed: the trap density and the channel non-equilibrium. These are difficult to overcome experimentally due to limitations by oxide breakdown and doping variation along the channel, respectively. A correct interpretation then requires a 2D model.
Determinants of money laundering: a study among commercial banks in Malaysia

Banks and other financial institutions are required by law to comply with AML requirements to guarantee they do not facilitate money laundering. However, financial institutions are exceptionally susceptible to money laundering activities in Malaysia. With this concern, this project aimed to identify the determinants which contribute to money laundering activities among commercial banks in Malaysia. Since there are only a few studies have analysed various factors that influence money laundering, this study intends to achieve the aim of the study which is to figure out the level of influence that the factors identified as independent variables on the dependent variable, money laundering. In this study, technology, legal framework, income, and ethical behaviour are acknowledged as the independent variables. A total of 102 survey questionnaires were delivered to commercial bank employees via a convenience sample strategy. Descriptive and inferential statistics were compiled by entering the replies of a total of 102 respondents one by one into SPSS. The results revealed that there is a positive relationship and correlation between all four independent variables; technology, legal framework, income and ethical behaviour towards the dependent variable, money laundering. Consequently, the null hypothesis formulated for this research has been disproved, however, the alternative hypotheses have all been accepted and validated by the data analysis conducted. In addition, this research is claimed to be capable of resolving money laundering difficulties and educating commercial banks on how to identify and prevent money laundering in their organisations.
Composition, Abundance, and Diversity of the Soil Microbiome Associated with the Halophytic Plants Tamarix aphylla and Halopeplis perfoliata on Jeddah Seacoast, Saudi Arabia

The coast of the Red Sea in Jeddah City is home to a unique microbial community that has adapted to extreme environmental conditions. Therefore, it is essential to characterize the microbial community in this unique microbiome to predict how environmental changes will affect it. The aim of this study was to conduct metagenomic sequencing of 16S rRNA and ITS rRNA genes for the taxonomic classification of the microbial community in soil samples associated with the halophytic plants Tamarix aphylla and Halopeplis perfoliata. Fifteen soil samples were collected in triplicate to enhance robustness and minimize sampling bias. Firstly, to identify novel microbial candidates, the gDNAs were isolated from the saline soil samples surrounding each plant, and then bacterial 16S (V3–V4) and fungal ITS1 regions were sequenced utilizing a high-throughput approach (next-generation sequencing; NGS) on an Illumina MiSeq platform. Quality assessment of the constructed amplicon libraries was conducted using Agilent Bioanalyzer and fluorometric quantification methods. The raw data were processed and analyzed using the Pipeline (Nova Lifetech, Singapore) for bioinformatics analysis. Based on the total number of readings, it was determined that the phylum Actinobacteriota was the most prevalent in the soil samples examined, followed by the phylum Proteobacteria. Based on ITS rRNA gene analysis, the alpha and beta fungal diversity in the studied soil samples revealed that the fungal population is structured into various groups according to the crust (c) and/or rhizosphere (r) plant parts. Fungal communities in the soil samples indicated that Ascomycota and Basidiomycota were the two most abundant phyla based on the total amount of sequence reads. Secondly, heat-map analysis of the diversity indices showed that the bacterial alpha diversity, as measured by Shannon, Simpson, and InvSimpson, was associated with soil crust (Hc and Tc enclosing H. perfoliata and T. aphylla, respectively) and that the soil rhizosphere (Hr and Tr) was strongly correlated with bacterial beta diversity. Finally, fungal-associated Tc and Hc samples clustered together, according to observations made using the Fisher and Chao1 methods, and Hr and Tr samples clustered together according to Shannon, Simpson, and InvSimpson analyses. As a result of the soil investigation, potential agents that have been identified could lead to innovative agricultural, medical, and industrial applications.
Testing Normality in SAS, STATA, and SPSS

The frequently used descriptive plots are the stem-and-leaf-plot, (skeletal) box plot, dot plot, and histogram. When N is small, a stem-and-leaf plot or dot plot is useful to summarize data; the histogram is more appropriate for large N samples. A stem-andleaf plot assumes continuous variables, while a dot plot works for categorical variables. A box plot presents the 25 percentile, 50 percentile (median), 75 percentile, and mean in a box. If a variable is normally distributed, its 25 and 75 percentile become symmetry, and its median and mean are located at the same point exactly in the middle.
Dominance and regularity in Coxeter groups

by Tom Edgar The main purpose of this thesis is to generalize many of the results of Dyer, [18]. Dyer introduces a large family of finite state automata that are demonstrated to recognize many natural subsets of Coxeter groups. In the current work, we consider generalized length functions in Coxeter systems and show that these length functions lead to a larger family of finite state automata, which in turn recognize a larger class of natural subsets of Coxeter groups. By a well-known result, these subsets (called regular subsets) will then have a rational multivariate Poincaré series. Dominance order on the set of reflections (or positive roots) of a Coxeter system plays a major role in the study of regular subsets. We draw the connection between dominance in root systems and a notion of closure in root systems. We describe some conjectures, due to Dyer, [17], and introduce a conjectural normal form for Coxeter group elements related to closure and dominance. In [14], Dyer introduced the notion of the imaginary cone to characterize dominance. We investigate the imaginary cone in the special case of hyperbolic Coxeter systems. We show that any infinite, irreducible, non-affine Coxeter system has universal reflection subgroups of arbitrarily large rank. This allows us to deduce some consequences about the growth type of Coxeter systems. For Laura, Sue, Kristin, and Mark
On conditional passage time structure of birth-death processes

Let N(t) be a birth-death process on N = {0,1,2,· ··} governed by the transition rates λ n > 0 (n ≧ 0) and μ η > 0 (n ≧ 1). Let mTm be the conditional first-passage time from r to n, given no visit to m where m <r < n. The downward conditional first-passage time nTm is defined similarly. It will be shown that , for any λ n > 0 and μ η > 0. The limiting behavior of is considerably different from that of the ordinary first-passage time where, under certain conditions, exponentiality sets in as n →∞. We will prove that, when λ n → λ > 0 and μ η → μ > 0 as n → ∞with ρ = λ /μ < 1, one has as r → ∞where T BP(λ,μ) is the server busy period of an M/M/1 queueing system with arrival rate λand service rate μ.
Accelerating Remobilization Time Following Spine Surgery Using Enhanced Recovery After Surgery: A Randomized Controlled Trial

Background: The enhanced recovery after surgery (ERAS) protocol encompasses a set of evidence-based interventions implemented preoperatively, intraoperatively, and postoperatively. Objectives: This study aimed to assess the impact of applying an accelerated recovery method on remobilization time in patients undergoing spinal surgery compared to a control group. Methods: This randomized controlled trial took place at Shariati Hospital in Tehran, Iran. Eligible participants scheduled for elective spine surgery were enrolled in the study. Remobilization was defined as the patient's ability to independently leave the bed and ambulate. The ERAS protocol, derived from recommendations by the ERAS Society, was implemented. Total intravenous anesthesia was administered for induction and maintenance. The means of variables between the control and intervention groups were compared using an independent t-test. Changes in patients' pain intensity over time were examined through a repeated-measures ANOVA test. Multiple regression analysis was conducted to identify predictors of remobilization time. Results: A total of 70 patients (mean age 47.56 ± 14.08) were included in the study. The control group exhibited a significantly longer hospital stay compared to the ERAS group (46 h vs. 32 h). Furthermore, the ERAS group demonstrated a significantly shorter remobilization time after surgery compared to the control group (18 h vs. 8 h) (P < 0.001). Both groups exhibited a downward trend in overall pain, with the ERAS group experiencing a significantly faster pain reduction (η2 = 0.106, λ = 0.171, P < 0.001). Remobilization time exhibited significant correlations with pain intensity immediately after surgery (r = 0.651, P < 0.001), pain intensity one hour after surgery (r = 0.723, P < 0.001), pain intensity six hours after surgery (r = 0.391, P = 0.001), fentanyl dose (r = 0.728, P < 0.001), and length of hospital stay (r = 0.727, P < 0.001). Multiple regression analysis revealed that pain intensity one hour after surgery, fentanyl dose, and hospital stay significantly predicted remobilization time (F (9,60) = 22.751, P < 0.001). Conclusions: The implementation of the ERAS protocol yielded several beneficial outcomes, including reduced pain intensity, shorter ICU and hospital stays, and accelerated remobilization time. Pain intensity and opioid consumption (as analgesia) emerged as significant predictors of remobilization time.