Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative analysis of turbulence models for gas bearings flowfield simulations

Reynolds equation is an essential tool in the design process of gas bearings. Even though global parameters, such as load capacity and power loss, can be predicted with reasonable accuracy, the accurate prediction of detailed flowfield is a much more significant challenge, particularly for the bearings operating with highly dense gases. However, the experimental with detailed pressure and temperature distributions, particularly operating with dense gases are limited. To evaluate the suitability of turbulence models for performance predictions of gas bearings, this paper uses Reynolds-averaged Navier–Stokes equations to explore flow physics and thermal behaviour of representative flows within gas bearings instead. Three eddy-viscosity models and one Reynolds stress model, namely RNG k − ϵ, Spalart–Allmaras, k − ω SST and RSM-ω, are selected. Numerical simulations of a thrust-type gas bearing are first conducted to highlight the importance of selecting appropriate turbulence models as well as the computational cost. Comparisons are then performed with the available experimental data and high fidelity numerical results, including isothermal and nonisothermal Couette and Poiseuille flows, and flow over the backward step. These are representative flows at the circumferential, radial directions and groove regions of gas bearings. The SST turbulence model with low-Re corrections is recommended to predict the performance of gas bearings in terms of accuracy and computational cost.
Gene Regulatory Networks: Modeling, Intervention and Context

Biological systems are complex in many dimensions as endless tran portation and communication networks all function simultaneously. Our a bility to intervene within both healthy and diseased systems is tied directly to our ability to understand and model core functionality. The progress in increasingly accurate and t horough high-throughput measurement technologies has provided a deluge of data from whi ch we may attempt to infer a representation of the true genetic regulatory system. A gene regulatory network model, if accurate enough, may all ow us to perform hypothesis testing in the form of computational experiments. Of great importance to modeling accuracy is the acknowledgment of biological contexts with in e models – i.e. recognizing the heterogeneous nature of the true biological system a nd the data it generates. This marriage of engineering, mathematics and computer science with systems biology creates a cycle of progress between computer simulation and lab exper imentation, rapidly translating interventions and treatments for patients from the bench to t e bedside. This dissertation will first discuss the landscape for model ing the biological system, explore the identification of targets for intervention in Boo lean network models of biological interactions, and explore context specificity both in ne w graphical depictions of models embodying context-specific genomic regulation and in novel analysis approaches designed to reveal embedded contextual information. Overall, the di ssertation will explore a spectrum of biological modeling with a goal towards therapeutic intervention, with both formal and informal notions of biological context, in such a way tha t will enable future work to have an even greater impact in terms of direct patient benefit on an individualized level.
PENGARUH DISIPLIN KERJA TERHADAP KINERJA KARYAWAN (PADA PT. BANK DANAMON TBK CABANG BINTARO)

ABSTRAK Tujuan dari penelitian ini dilakukan dengan tujuan untuk mengetahui disiplin kerja. Untuk mengetahui kinerja karyawan dan untuk mengetahui seberapa besar Pengaruh Disiplin Kerja Terhadap Kinerja Karyawan dan instansi yang menjadi obyek dalam penelitian ini adalah karyawan PT.Bank Danamon Tbk Cabang Bintaro. Metode yang digunakan dalam penelitian ini adalah metode deskriptif kuantitatifdengan tehnik pengambilan sampel proporsional random sampling . Metode analisis data menggunakan deskriptif dan verifikatif dengan analisis regresi, determinasi, serta pengujian hipotesis. Hasil penelitian menunjukkan bahwa disiplin kerja berpengaruh positif dan signifikan terhadap kinerja karyawan dengan kontribusi pengaruh sebesar 60,8% sedangkan sisanya sebesar 39,2% dipengaruhi faktor lain. Pengujian hipotesis diperoleh t hitung > t tabel(12,329 > 1,984) hal itu konsisten dengan nilai probability signification < 0,05 dengan demikian H 0 ditolak dan H 1 diterima artinya terdapat pengaruh yang positif dan signifikan antara disiplin kerja terhadap kinerja Karyawan Kata Kunci : Disiplin Kerja dan Kinerja Karyawan.
Numerical method for calculating non-stationary processes in the non-homogeneous electric circuit. Direct and reverse problem

In the paper has been proposed the conservative numerical scheme of the calculation of dynamic processes in non-homogeneous electric circuits until reaching the phase of the stationary process. The numerical calculation scheme ensures the accuracy of the solution also in the case of the process analysis in the circuits with significant loss and dissipation of energy. The proposed method is also robust to solve the inverse problem in the field of mathematical physics, thus restoring the initial parameters of the non-stationary process based on the knowledge of the distribution of the voltage and current waves in the circuit. The results of the numerical solution were compared with those obtained by the finite difference of time method (FDTD) and the Godunov scheme. Calculations of the nonstationary process were performed in the partially homogeneous circuit with energy losses and high variability of linear parameters. The circuit under consideration is similar to the stator winding of a high power generator. It has been demonstrated the possibility of restoring the initial excitation parameters, for example, due to partial discharges or a short pulse. It has been found that the proposed numerical method can be used for purposes of increasing the precision of diagnosing the current state of insulation of high power rotating electric machines as a result of solving the inverse problem of the propagation of current and voltage waves in the non-homogeneous circuit.
Second language sentence processing in reading for comprehension and translation*

A self-paced reading and translation task was used with learners of English as a second language (L2) to explore what sorts of information L2 learners use during online comprehension compared to native speakers, and how task (reading for comprehension vs. translation) and proficiency affect L2 comprehension. Thirty-six Korean native speakers of English and 32 native English speakers read plausible and implausible subject relative clauses and object relative clauses. Reading times, comprehension accuracy, and translations were analyzed. Results showed that L2 learners were able to use syntactic information similarly to native speakers during comprehension, and that online L2 processing and offline comprehension were modulated by reading goals and proficiency. Results are interpreted as showing that L2 processing is quantitatively rather than qualitatively different from first language processing, i.e. strategically “good enough”.
Recovery of wall-shear stress to equilibrium flow conditions after a rough-to-smooth step change in turbulent boundary layers

This paper examines the recovery of the wall-shear stress of a turbulent boundary layer that has undergone a sudden transition from a rough to a smooth surface. Early work of Antonia & Luxton (J. Fluid Mech., vol. 53, 1972, pp. 737–757) questioned the reliability of standard smooth-wall methods for measuring wall-shear stress in such conditions, and subsequent studies show significant disagreement depending on the approach used to determine the wall-shear stress downstream. Here we address this by utilising a collection of experimental databases at $Re_{\unicode[STIX]{x1D70F}}\approx 4100$ that have access to both ‘direct’ and ‘indirect’ measures of the wall-shear stress to understand the recovery to equilibrium conditions of the new surface. Our results reveal that the viscous region ( $z^{+}\lesssim 4$ ) recovers almost immediately to an equilibrium state with the new wall conditions; however, the buffer region and beyond takes several boundary layer thicknesses before recovering to equilibrium conditions, which is longer than previously thought. A unique direct numerical simulation database of a wall-bounded flow with a rough-to-smooth wall transition is employed to confirm these findings. In doing so, we present evidence that any estimate of the wall-shear stress from the mean velocity profile in the buffer region or further away from the wall tends to underestimate its magnitude in the near vicinity of the rough-to-smooth transition, and this is likely to be partly responsible for the large scatter of recovery lengths to equilibrium conditions reported in the literature. Our results also reveal that smaller energetic scales in the near-wall region recover to an equilibrium state associated with the new wall conditions within one boundary layer thickness downstream of the transition, while larger energetic scales exhibit an over-energised state for several boundary layer thicknesses downstream of the transition. Based on these observations, an alternative approach to estimating the wall-shear stress from the premultiplied energy spectrum is proposed.
Assessment Metrics for Imbalanced Learning

This chapter focuses on the aspect of evaluation that concerns the choice of an assessment metric. It concentrates mainly on describing both metrics and graphical methods used in the case of class imbalances, concentrating on well-established methods and pointing out the newer experimental ones. The chapter presents an overview of the three families of assessment metrics used in machine learning - threshold metrics, ranking methods and metrics and probabilistic metrics. It further discusses their general appropriateness to class imbalance situations. The chapter also focuses on the threshold metrics particularly suited for imbalanced datasets. It talks about ranking methods and metrics often used in class-imbalanced situations. The chapter ends by considering other aspects of the classifier evaluation process that could be impacted on by class imbalances, and at the case of multi-class-imbalanced problems.
On double-index dimension reduction for partially functional data

ABSTRACT In this note, we consider the situation where we have a functional predictor as well as some more traditional scalar predictors, which we call the partially functional problem. We propose a semiparametric model based on sufficient dimension reduction, and thus our main interest is in dimension reduction although prediction can be carried out at a second stage. We establish root-n consistency of the linear part of the estimator. Some Monte Carlo studies are carried out as proof of concept.
Research on China Oil Security Pre-warning Based on Bp Neural Networks

In order to protect the nation's oil security and safeguard national economic operation,based on the characteristics of oil security warning,the paper uses neural networks for pre-warning.It designs Bp neural networks models to establish China petroleum security warning system and makes an empirical analysis to predict the degree of safety.It proves that China petroleum security is dangerous,so we must strengthen security measure.
Sums of reciprocals of weighted products of the sine and cosine functions

In this paper, we define 12 families of finite sums that involve the sine/cosine functions. Four of these families are parametrized by j, and the remaining eight families are parametrized by j and k. In each of the aforementioned 12 families, the denominator of the summand contains a product of sine or cosine functions, and the length of this product is governed by the parameter j. As such, the length of the product in question can be made as large as we please. In each of the 12 families of finite sums that we consider, there is a so-called weight term in the summand. For instance, in S4 (defined in Section 2), the weight term is ( 1 2 cos j ).
Transmission of Normal P-Waves across a Single Joint Based ong‐λModel

This paper investigates the wave transmission and reflection of an elastic P-wave at a single joint for normal incidence. First, considering a coupled joint (correction parameterλ,0<λ<1), a normal deformation constitutive model of the joint (g‐λmodel) under static or quasi-static loading is introduced and then extended to dynamic loading. The nonlinearity of the joint stress-deformation curve increases with increasingλ. Second, the interaction between the P-wave and the joint is investigated by using the method of characteristics and the displacement discontinuity method to deduce the differential expression of the transmitted wave’s particle velocity. The approximate analytical expressions of the transmission and reflection coefficients are obtained according to the Lemaitre equivalent strain assumption. Third, parametric studies are conducted to evaluate the effects ofλon transmission characteristics for a normally incident P-wave at a single joint. The results show that the particle velocity of the transmitted wave depends onλ. Whenλtakes the limit values 0 and 1, the transmitted wave’s particle velocities are then consistent with the conclusions of the classical exponential model and the Barton–Bandis model. In addition, the transmission and reflection coefficients are discussed with respect toλand also to the ratio of the joint closure to the maximum allowable joint closure.
Torque-Bounded Admittance Control Realized by a Set-Valued Algebraic Feedback

This paper proposes a new admittance controller that realizes safe behavior even under torque saturation. The new controller is analytically equivalent to a conventional admittance controller as long as the actuator torque is not saturated, but is free from unsafe behaviors such as snapping back, oscillation, or overshoots, which may happen with conventional admittance controllers after torque saturation. The new controller is described by a differential algebraic inclusion, and can be understood as a conventional admittance controller expanded with an additional algebraic loop through a normal-cone operator. Its continuous-time representation involves a nonsmooth, set-valued function, but its discrete-time implementation is free from set-valuedness and given as a closed-form algorithm as a result of the use of implicit (backward) Euler discretization. The controller is tested with one joint of an industrial manipulator equipped with a force sensor.
Critical Casimir forces and adsorption profiles in the presence of a chemically structured substrate

Motivated by recent experiments with confined binary liquid mixtures near demixing, we study the universal critical properties of a system, which belongs to the Ising universality class, in the film geometry. We employ periodic boundary conditions in the two lateral directions and fixed boundary conditions on the two confining surfaces, such that one of them has a spatially homogeneous adsorption preference while the other one exhibits a laterally alternating adsorption preference, resembling locally a single chemical step. By means of Monte Carlo simulations of an improved Hamiltonian, so that the leading scaling corrections are suppressed, numerical integration and finite-size scaling analysis we determine the critical Casimir force and its universal scaling function for various values of the aspect ratio of the film. In the limit of a vanishing aspect ratio the critical Casimir force of this system reduces to the mean value of the critical Casimir force for laterally homogeneous + + and + − boundary conditions, corresponding to the surface spins on the two surfaces being fixed to equal and opposite values, respectively. We show that the universal scaling function of the critical Casimir force for small but finite aspect ratios displays a linear dependence on the aspect ratio which is solely due to the presence of the lateral inhomogeneity. We also analyse the order-parameter profiles at criticality and their universal scaling function, which allows us to probe theoretical predictions and to compare with experimental data.
SUPERMASSIVE BLACK HOLES, PSEUDOBULGES, AND THE NARROW-LINE SEYFERT 1 GALAXIES

We present Hubble Space Telescope Advanced Camera for Surveys (ACS) observations of 10 galaxies that host narrow-line Seyfert 1 (NLS1) nuclei, believed to contain relatively smaller mass black holes accreting at high Eddington ratios. We deconvolve each ACS image into a nuclear point source (AGN), a bulge, and a disk, and fitted the bulge with a Sérsic profile and the disk with an exponential profile. We find that at least five galaxies can be classified as having pseudobulges. All 10 galaxies lie below the MBH–Lbulge relation, confirming earlier results. Their locus is similar to that occupied by pseudobulges. This leads us to conclude that the growth of BHs in NLS1s is governed by secular processes rather than merger driven. Active galaxies in pseudobulges point to an alternative track of black hole–galaxy co-evolution. Because of the intrinsic scatter in black hole mass–bulge properties scaling relations caused by a combination of factors such as the galaxy morphology, orientation, and redshift evolution, application of scaling relations to determine BH masses may not be as straightforward as has been hoped.
CONTINUOUS MID-INFRARED STAR FORMATION RATE INDICATORS: DIAGNOSTICS FOR 0 < z < 3 STAR-FORMING GALAXIES

We present continuous, monochromatic star formation rate (SFR) indicators over the mid-infrared wavelength range of 6–70 μm. We use a sample of 58 star-forming galaxies (SFGs) in the Spitzer–SDSS–GALEX Spectroscopic Survey at z < 0.2, for which there is a rich suite of multi-wavelength photometry and spectroscopy from the ultraviolet through to the infrared. The data from the Spitzer Infrared Spectrograph (IRS) of these galaxies, which spans 5–40 μm, is anchored to their photometric counterparts. The spectral region between 40–70 μm is interpolated using dust model fits to the IRS spectrum and Spitzer 70 and 160 μm photometry. Since there are no sharp spectral features in this region, we expect these interpolations to be robust. This spectral range is calibrated as a SFR diagnostic using several reference SFR indicators to mitigate potential bias. Our band-specific continuous SFR indicators are found to be consistent with monochromatic calibrations in the local universe, as derived from Spitzer, WISE, and Herschel photometry. Our local composite template and continuous SFR diagnostics are made available for public use through the NASA/IPAC Infrared Science Archive (IRSA) and have typical dispersions of 30% or less. We discuss the validity and range of applicability for our SFR indicators in the context of unveiling the formation and evolution of galaxies. Additionally, in the era of the James Webb Space Telescope this will become a flexible tool, applicable to any SFG up to z ∼ 3.
Topological semimetal and Fermi-arc surface states in the electronic structure of pyrochlore iridates

We investigate novel phases that emerge from the interplay of electron correlations and strong spin-orbit interactions. We focus on describing the topological semimetal, a three-dimensional phase of a magnetic solid, and argue that it may be realized in a class of pyrochlore iridates (such as ${\mathrm{Y}}_{2}$Ir${}_{2}$O${}_{7}$) based on calculations using the $\text{LDA}+U$ method. This state is a three-dimensional analog of graphene with linearly dispersing excitations and provides a condensed-matter realization of Weyl fermions that obeys a two-component Dirac equation. It also exhibits remarkable topological properties manifested by surface states in the form of Fermi arcs, which are impossible to realize in purely two-dimensional band structures. For intermediate correlation strengths, we find this to be the ground state of the pyrochlore iridates, coexisting with noncollinear magnetic order. A narrow window of magnetic ``axion'' insulator may also be present. An applied magnetic field is found to induce a metallic ground state.
Footprint an insight for medial longitudinal arch

Introduction: Medial Longitudinal Arch (MLA) is important for the foot, since it provides necessary shock absorption during movement. Its estimation can be done by various techniques, viz navicular height method, footprint, radiography. On the footprint various indexes have been suggested by researchers. The study aims to correlate the values of medial longitudinal arch by using standing navicular height method, Clark’s angle and chosen morphological characteristics (mid-footprint planter angle; MFPA) in medical and health science students of Sumandeep Vidyapeeth University. Materials and Methods: Non-randomized study was conducted in the department of Anatomy in SBKSMI&RC on 50 students of medical & health science at Sumandeep Vidyapeeth after prior approval. Three different methods were used for measuring MLA, navicular height method, Clark’s angle (using footprint) and MFPA (using footprint an angle formed by joining the medial most point anteriorly with the point of maximum concavity on the medial side of the foot while posteriorly due to calcaneus bone forming a triangle with this angle). Results: Middle level negative correlation (-0.531 & -0.500) between MFPA and Clark’s angle for right & left foot with statistical significance of Conclusion: The new technique (MFPA) of estimating MLA using footprint is significant and strongly correlated with other methods, thus can be considered efficient method for estimation of arch in OPD on day to day basis. Keywords: Medial longitudinal arch, Navicular height method, Footprint, Clark’s angle.
DURGUN POROZ ORTAMDAN LİNEER VE LİNEER OLMAYAN VİSKOELASTİK AKIŞKANLARIN AKIŞI VE ISI TRANSFERİ İÇİN MATEMATİKSEL MODEL DENKLEMLERİ

Gecirgen heterojen ortamdaki akiskanin matematiksel modellemesi, Resin Transfer Molding, Injection Molding, vs. gibi bircok imalat proseslerinde onemli bir yer tutar. Bu arastirmada, Local Volume Averaging Technique metodu ile elde edilen 3 boyutlu, zamana bagli izotermal olmayan genel bir matematiksel model elde edildi. Model, ortalama hiz, basinc, polimerik gerilmeleri ve sicaklik degerlerini kutle, momentum ve enerji korunum kanunlar ile polimerik gerilme modellerini kullanarak elde etmektedir. Polimerik akiskan gerilmeleri icin lineer (UCM ve Oldroyd-B modelleri) ve lineer olmayan (Giesekus ve PTT modelleri) modeller kullanilarak polimerik akiskanin viskoelastik karakteristikleri ortaya konulabilir.