Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-axisymmetric Homann stagnation-point flows

Abstract A modification of Homann’s axisymmetric outer potential stagnation-point flow of strain rate $a$ is obtained by adding periodic radial and azimuthal velocities of the form $b\hspace{0.167em} r\sin 2\theta $ and $b\hspace{0.167em} r\cos 2\theta $ , respectively, where $b$ is a shear rate. This leads to the discovery of a new family of asymmetric viscous stagnation-point flows depending on the shear-to-strain-rate ratio $\gamma = b/ a$ that exist over the range $\ensuremath{-} \infty \lt \gamma \lt \infty $ . Numerical solutions for the wall shear stress parameters and the displacement thicknesses are given and compared with their large- $\gamma $ asymptotic behaviours. Sample similarity velocity profiles are also presented.
Low Metallicities and Old Ages for Three Ultra-diffuse Galaxies in the Coma Cluster

A large population of ultra-diffuse galaxies (UDGs) was recently discovered in the Coma cluster. Here we present optical spectra of three such UDGs, DF 7, DF 44, and DF 17, which have central surface brightnesses of μg ≈ 24.4–25.1 mag arcsec−2. The spectra were acquired as part of an ancillary program within the SDSS-IV MaNGA Survey. We stacked 19 fibers in the central regions from larger integral field units (IFUs) per source. With over 13.5 hr of on-source integration, we achieved a mean signal-to-noise ratio in the optical of 9.5 Å−1, 7.9 Å−1, and 5.0 Å−1, respectively, for DF 7, DF 44, and DF 17. Stellar population models applied to these spectra enable measurements of recession velocities, ages, and metallicities. The recession velocities of DF 7, DF 44, and DF 17 are km s−1, km s−1, and km s−1, spectroscopically confirming that all of them reside in the Coma cluster. The stellar populations of these three galaxies are old and metal-poor, with ages of Gyr, Gyr, and Gyr, and iron abundances of [Fe/H] , , and , respectively. Their stellar masses are (3–6) × 108M⊙. The UDGs in our sample are as old or older than galaxies at similar stellar mass or velocity dispersion (only DF 44 has an independently measured dispersion). They all follow the well-established stellar mass–stellar metallicity relation, while DF 44 lies below the velocity dispersion-metallicity relation. These results, combined with the fact that UDGs are unusually large for their stellar masses, suggest that stellar mass plays a more important role in setting stellar population properties for these galaxies than either size or surface brightness.
Short Note: A Note on Periodic Character of a Difference Equation

In this note, we study positive solutions of the difference equation where and We prove that if then every positive solution converges to the positive equilibrium and if then every positive solution converges to a 2s-periodic solution. The second result generalizes the main result in the paper: W.T. Patula and H.D. Voulov, On the oscillation and periodic character of a third order rational difference equation, Proc. Amer. Math. Soc. 131 (3) (2003), 905–909.
ANCHOR: a 16S rRNA gene amplicon pipeline for microbial analysis of multiple environmental samples

Summary Analysis of 16S ribosomal RNA (rRNA) gene amplification data for microbial barcoding can be inaccurate across complex environmental samples. A method, ANCHOR, is presented and designed for improved species‐level microbial identification using paired‐end sequences directly, multiple high‐complexity samples and multiple reference databases. A standard operating procedure (SOP) is reported alongside benchmarking against artificial, single sample and replicated mock data sets. The method is then directly tested using a real‐world data set from surface swabs of the International Space Station (ISS). Simple mock community analysis identified 100% of the expected species and 99% of expected gene copy variants (100% identical). A replicated mock community revealed similar or better numbers of expected species than MetaAmp, DADA2, Mothur and QIIME1. Analysis of the ISS microbiome identified 714 putative unique species/strains and differential abundance analysis distinguished significant differences between the Destiny module (U.S. laboratory) and Harmony module (sleeping quarters). Harmony was remarkably dominated by human gastrointestinal tract bacteria, similar to enclosed environments on earth; however, Destiny module bacteria also derived from nonhuman microbiome carriers present on the ISS, the laboratory's research animals. ANCHOR can help substantially improve sequence resolution of 16S rRNA gene amplification data within biologically replicated environmental experiments and integrated multidatabase annotation enhances interpretation of complex, nonreference microbiomes.
Association Between Tinnitus and Temporomandibular Disorders: A Systematic Review and Meta-Analysis

Objectives: Tinnitus is one of the most common otological symptoms in patients with temporomandibular disorders. This study aimed to investigate the possible association between tinnitus and temporomandibular disorders. Methods: The online databases of PubMed, Ovid, ScienceDirect, and Web of Science were explored for all English articles published until September 2018 using the combined keywords tinnitus and temporomandibular. Cross-sectional, cohort, or case-control studies that investigated the association between tinnitus and temporomandibular disorders (TMDs) were considered. The quality of the included papers was assessed by the Crowe Critical Appraisal Tool. Results: Twenty-two papers met the eligibility criteria and were included in the systematic review. Meta-analysis was performed on 8 papers to investigate the possible relationship between tinnitus and TMDs by calculating the odds ratios. Odds ratios ranged from 1.78 to 7.79 in the studies related to tinnitus frequency in temporomandibular disorders and from 1.80 to 7.79 in the papers linked to temporomandibular disorder frequency in tinnitus, indicating a significant association between tinnitus and temporomandibular disorders. Conclusions: There was a strong relationship between tinnitus occurrence and TMDs. The findings implied the significance of exploring the signs of TMDs in patients with tinnitus as well as tinnitus in those who complain from temporomandibular disorders.
Enhanced Uniqueness and Linearity of Receiver Function Inversion

Inversion of receiver functions is widely regarded as both highly nonlinear and highly nonunique. In this article, we describe why this is not entirely accurate. We show that for synthetic data with or without noise, a quasi-continuous model stratification greatly reduces the nonuniqueness present for the typical coarser stratifications. However, convergence is slow when the model is parameterized in depth. If instead the quasi-continuous model is parameterized in delay time, convergence becomes very fast and stable. This indicates that the nonuniqueness and nonlinearity problems encountered by previous studies were mainly a product of an unfavorable model parameterization. To validate the quasi-continuous delay-time parameterization in receiver function inversion, we test this new approach on teleseismic data from two permanent broadband stations situated in well-studied and distinct geologic settings. Convergence of the linearized iterative inversions is fast, reliable, and practically independent of the starting model. No a priori constraints are imposed on the modeled S velocities. The inversion models obtained for each of the two stations agree very well with results of other seismic methods. Based on this general validation with observed data and synthetic tests, we propose the use of the quasi-continuous delay-time model parameterization to enhance linearity and uniqueness of receiver function inversion, regardless of the approach being linearized or Monte Carlo.
The transitional millisecond pulsar IGR J18245-2452 during its 2013 outburst at X-rays and soft gamma-rays

IGR~J18245--2452/PSR J1824--2452I is one of the rare transitional accreting millisecond X-ray pulsars, showing direct evidence of switches between states of rotation powered radio pulsations and accretion powered X-ray pulsations, dubbed transitional pulsars. IGR~J18245--2452 is the only transitional pulsar so far to have shown a full accretion episode, reaching an X-ray luminosity of $\sim10^{37}$~erg~s$^{-1}$ permitting its discovery with INTEGRAL in 2013. In this paper, we report on a detailed analysis of the data collected with the IBIS/ISGRI and the two JEM-X monitors on-board INTEGRAL at the time of the 2013 outburst. We make use of some complementary data obtained with the instruments on-board XMM-Newton and Swift in order to perform the averaged broad-band spectral analysis of the source in the energy range 0.4 -- 250~keV. We have found that this spectrum is the hardest among the accreting millisecond X-ray pulsars. We improved the ephemeris, now valid across its full outburst, and report the detection of pulsed emission up to $\sim60$ keV in both the ISGRI ($10.9 \sigma$) and Fermi/GBM ($5.9 \sigma$) bandpass. The alignment of the ISGRI and Fermi GBM 20 -- 60 keV pulse profiles are consistent at a $\sim25\ \mu$s level. We compared the pulse profiles obtained at soft X-rays with \xmm\ with the soft \gr-ray ones, and derived the pulsed fractions of the fundamental and first harmonic, as well as the time lag of the fundamental harmonic, up to $150\ \mu$s, as a function of energy. We report on a thermonuclear X-ray burst detected with \Integ, and using the properties of the previously type-I X-ray burst, we show that all these events are powered primarily by helium ignited at a depth of $y_{\rm ign} \approx 2.7\times10^8$ g cm${}^{-2}$. For such a helium burst the estimated recurrence time of $\Delta t_{\rm rec}\approx5.6$ d is in agreement with the observations.
Unsupervised semantic indoor scene classification for robot vision based on context of features using Gist and HSV-SIFT

This paper presents an unsupervised scene classification method for actualizing semantic recognition of indoor scenes. Background and foreground features are respectively extracted using Gist and color scale-invariant feature transform (SIFT) as feature representations based on context. We used hue, saturation, and value SIFT (HSV-SIFT) because of its simple algorithm with low calculation costs. Our method creates bags of features for voting visual words created from both feature descriptors to a two-dimensional histogram. Moreover, our method generates labels as candidates of categories for time-series images while maintaining stability and plasticity together. Automatic labeling of category maps can be realized using labels created using adaptive resonance theory (ART) as teaching signals for counter propagation networks (CPNs). We evaluated our method for semantic scene classification using KTH’s image database for robot localization (KTH-IDOL), which is popularly used for robot localization and navigation. The mean classification accuracies of Gist, gray SIFT, one class support vector machines (OC-SVM), position-invariant robust features (PIRF), and our method are, respectively, 39.7, 58.0, 56.0, 63.6, and 79.4 %. The result of our method is 15.8 % higher than that of PIRF. Moreover, we applied our method for fine classification using our original mobile robot. We obtained mean classification accuracy of 83.2 % for six zones.
A 1. 49 GHz atlas of the IRAS Bright Galaxy Sample

The VLA has been used in its A-, B-, C-, and D-configurations to make 1.49 GHz maps of sources in both the original and revised IRAS Bright Galaxy Samples of strong extragalactic sources selected at a wavelength of 60 microns. Integrated 1.49 GHz flux densities were obtained from the lowest resolution maps, and maps were made with higher resolution so that nearly all of the radio sources have been at least partially resolved. Only NGC 1377 was not detected at 1.49 GHz. An atlas of contour maps, a table of total flux densities plus other radio source parameters, and references to published radio maps are given. Since the infrared and radio continuum brightness distributions of IR-selected galaxies are usually similar, these high-resolution radio maps can be used as substitutes for the unavailable IR maps to indicate the sizes and precise locations of the IR-emitting regions. 109 refs.
Comparing executive functioning and clinical and sociodemographic characteristics of people with schizophrenia who hold a driver’s license to those who do not

Background. Community engagement requires driving. However, there is paucity of research focusing on the potential to drive for people with schizophrenia. Purpose. This study aimed to characterize people with schizophrenia by comparing clinical signs, executive functions (EF), and sociodemographic aspects of those holding a driver’s license to those without one. Method. This cross-sectional study used convenience sampling to select 60 ambulatory individuals to participate: 31 with a driver’s license and 29 without one. They completed the Wisconsin Card Sorting Test (WCST) for evaluation of EF and the Positive and Negative Syndrome Scale (PANSS) for symptoms severity evaluation. Data were analyzed using multivariate analyses of covariance and logistic regression models. Findings. Participants with a license had less severe negative symptoms and general psychopathology and better EF and sociodemographic aspects compared to those without a license. Logistic regression revealed significant odds ratios (OR) in general psychopathology (PANSS; OR = 0.963, p = .011) and in the WCST (OR = 0.504, p = .027). Implications. This study offers occupational therapists a data-driven perspective on evaluating potential fitness to drive to enable participation in daily life and well-being of people with schizophrenia.
A Yule-Simon process with memory

The Yule-Simon model has been used as a tool to describe the growth of diverse systems, acquiring a paradigmatic character in many fields of research. Here we study a modified Yule-Simon model that takes into account the full history of the system by means of a hyperbolic memory kernel. We show how the memory kernel changes the properties of preferential attachment and provide an approximate analytical solution for the frequency distribution density as well as for the frequency-rank distribution.
Habitat use and vestibular system's dimensions in lacertid lizards

The vestibular system is crucial for movement control during locomotion. As the dimensions of the vestibular system determine the fluid dynamics of the endolymph and, as such, the system's function, we investigate the interaction between vestibular system size, head size and microhabitat use in lizards. We grouped 24 lacertid species in three microhabitat types, we acquired three‐dimensional models of the bony vestibular systems using micro‐computer tomography scanning, and we performed linear and surface measurements. All vestibular measurements scale with a negative allometry with head size, suggesting that smaller heads house disproportionally large ears. As the sensitivity of the vestibular system is positively related to size, a sufficiently large vestibular system in small‐headed animals may meet the sensitivity demands during challenged locomotion. We also found that the microhabitat affects the locomotor dynamics: lizards inhabiting open microhabitats run at higher dimensionless speeds. On the other hand, no statistical relationship exists between dimensionless speed and the vestibular system dimensions. Hence, if the vestibular size would differ between microhabitats, this would be a direct effect (i.e. imposed, for instance, by requirements for manoeuvring, balance control, etc.), rather than depending on the lizards’ intrinsic running speed. However, we found no effect of the microhabitat on the allometric relationship between head and vestibular system size. The finding that microhabitat is not reflected in the vestibular system size (hence sensitivity) of the lacertids in this study is possibly due to spatial constraints of the skull.
Spectrophotometry of Nearby Field Galaxies: The Data

We have obtained integrated and nuclear spectra as well as U, B, R surface photometry for a representative sample of 196 nearby galaxies. These galaxies span the entire Hubble sequence in morphological type, as well as a wide range of luminosities (MB = -14 to -22). Here we present the spectrophotometry for these galaxies. The selection of the sample and the U, B, R surface photometry is described in a companion paper. Our goals for the project include measuring the current star formation rates and metallicities of these galaxies, and elucidating their star formation histories, as a function of luminosity and morphology. We thereby extend the work of Kennicutt to lower luminosity systems. We anticipate that our study will be useful as a benchmark for studies of galaxies at high redshift. We describe the observing, data reduction, and calibration techniques and demonstrate that our spectrophotometry agrees well with that of Kennicutt. The spectra span the range 3550-7250 Å at a resolution (FWHM) of ∼6 Å and have an overall relative spectrophotometric accuracy of ∼±6%. We present a spectrophotometric atlas of integrated and nuclear rest-frame spectra as well as tables of equivalent widths and synthetic colors. The atlas and tables of measurements will be made available electronically. We study the correlations of galaxy properties determined from the spectra and images. Our findings include: (1) galaxies of a given morphological class display a wide range of continuum shapes and emission-line strengths if a broad range of luminosities are considered, (2) emission-line strengths tend to increase and continua tend to get bluer as the luminosity decreases, and (3) the scatter on the general correlation between nuclear and integrated Hα emission-line strengths is large.
Wave functions for the Schwarzschild black hole interior

Using the Hamiltonian constraint derived by Ashtekar and Bojowald, we look for preclassical wave functions in the Schwarzschild interior. In particular, when solving this difference equation by separation of variables, an inequality is obtained relating the Immirzi parameter {gamma} to the quantum ambiguity {delta} appearing in the model. This bound is violated when we use a natural value for {delta} based on loop quantum gravity together with a recent proposal for {gamma}. We also present numerical solutions of the constraint.
The Leukocyte Esterase Test for Periprosthetic Joint Infection Is Not Affected by Prior Antibiotic Administration

Background: It has been demonstrated that administration of antibiotics prior to performing diagnostic testing for periprosthetic joint infection can interfere with the accuracy of the standard diagnostic tests. Therefore, the purpose of this study was to evaluate the effects of antibiotic administration prior to performing the synovial leukocyte esterase strip test for periprosthetic joint infection. Methods: We identified 121 patients who underwent revision hip or knee arthroplasty for a Musculoskeletal Infection Society (MSIS)-confirmed periprosthetic joint infection. All patients also had a leukocyte esterase strip test performed. Patients in one group (32%) took antibiotics prior to the diagnostic workup, whereas patients in another group (68%) did not receive antibiotics within 2 weeks of the diagnostic workup. The leukocyte esterase strip test, erythrocyte sedimentation rate (ESR), serum C-reactive protein (CRP), synovial white blood-cell (WBC) count, and polymorphonuclear neutrophil (PMN) percentage were collected and were compared between the 2 groups. Results: The median serum ESR (85 compared with 67 mm/hr for patients who did not and did receive antibiotics; p = 0.009), CRP (16.5 compared with 12.9 mg/L; p = 0.032), synovial WBC count (45,675 compared with 9,650 cells/µL; p < 0.0001), and PMN percentage (93% compared with 88%; p = 0.004) were all significantly lower for patients receiving antibiotics. Furthermore, the administration of antibiotics resulted in a significant decrease in the sensitivity of all tests, except leukocyte esterase: ESR (79.5% in the antibiotics cohort compared with 92.7% in the no-antibiotics cohort [relative risk (RR) for false-negative results, 2.8; p = 0.04]), CRP (64.2% compared with 81.8% [RR, 1.9; p = 0.03]), WBC count (69.3% compared with 93.4% [RR, 5.0; p = 0.001]), PMN percentage (74.4% compared with 91.5% [RR, 3.0; p = 0.01]), and leukocyte esterase (78% compared with 83% [RR, 1.6; p = 0.17]). The rate of negative cultures was higher in the antibiotics group at 30.7% compared with the no-antibiotics group at 12.1% (p = 0.015). Conclusions: This current study and previous studies have demonstrated that the administration of premature antibiotics can compromise the results of standard diagnostic tests for periprosthetic joint infection, causing significant increases in false-negative results. However, in this study, the leukocyte esterase strip test maintained its performance even in the setting of antibiotic administration. Antibiotic administration prior to diagnostic workups for periprosthetic joint infection stands to interfere with diagnosis. The leukocyte esterase strip test can be used as a reliable diagnostic marker for diagnosing periprosthetic joint infection even when prior antibiotics are administered. Level of Evidence: Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.
Intercellular delivery of small RNAs in plant gametes.

Small RNAs are 20-24 nucleotides in length. In plants, small RNAs are classified into microRNAs (miRNAs) and small interfering RNAs (siRNAs), based on their biogenesis and molecular features. In contrast to the extensive knowledge of the roles of small RNAs in sporophytic tissues, the distribution and function of small RNAs in gametophytic cells have been less well studied. However, with the improvement of single-cell sorting and RNA sequencing technologies, the distribution of small RNAs, especially siRNAs, between sperm cells and the vegetative cell, as well as the function of sperm-delivered small RNAs during early seed development have been elucidated. This review summarizes work from the past 5 years regarding small RNAs in male gametes, emphasizing the intercellular communication and biological significance of small RNAs in Arabidopsis.
Electronic and magnetic properties of nanographite ribbons

Electronic and magnetic properties of ribbon-shaped nanographite systems with zigzag and armchair edges in a magnetic field are investigated by using a tight-binding model. One of the most remarkable features of these systems is the appearance of edge states, strongly localized near zigzag edges. The edge state in a magnetic field, generating a rational fraction of the magnetic flux ( f5 p/q) in each hexagonal plaquette of the graphite plane, behaves like a zero-field edge state with q internal degrees of freedom. The orbital diamagnetic susceptibility strongly depends on the edge shapes. The reason is found in the analysis of the ring currents, which are very sensitive to the lattice topology near the edge. Moreover, the orbital diamagnetic susceptibility is scaled as a function of the temperature, Fermi energy, and ribbon width. Because the edge states lead to a sharp peak in the density of states at the Fermi level, the graphite ribbons with zigzag edges show Curie-like temperature dependence of the Pauli paramagnetic susceptibility. Hence, there is a crossover from hightemperature diamagnetic to low-temperature paramagnetic behavior in the magnetic susceptibility of nanographite ribbons with zigzag edges. @S0163-1829~99! 02111-6#