Miracle-dz/UniFAR-FTUs huggingface dataset:
Time resolved spectroscopic observations of an M-dwarf flare star EV Lacertae during a flare

We have performed 5 night spectroscopic observation of the Halpha line of EV Lac with a medium wavelength resolution (R~ 10,000) using the 2m Nayuta telescope at the Nishi-Harima Astronomical Observatory. EV Lac always possesses the Halpha emission line; however, its intensity was stronger on August 15, 2015 than during other four-night periods. On this night, we observed a rapid rise (~ 20min) and a subsequent slow decrease (~ 1.5h) of the emission-line intensity of Halpha, which was probably caused by a flare. We also found an asymmetrical change in the Halpha line on the same night. The enhancement has been observed in the blue wing of the Ha line during each phase of this flare (from the flare start to the flare end), and absorption components were present in its red wing during the early and later phases of the flare. Such blue enhancement (blue asymmetry) of the Halpha line is sometimes seen during solar flares, but only during the early phases. Even for solar flares, little is known about the origin of the blue asymmetry. Compared with solar-flare models, the presented results can lead to the understanding of the dynamics of stellar flares.
9 Gate resistance thermometry: An electrical thermal characterization technique

different values of probe current, i gp , are used. The results highlight a sharp rise in R th beyond a critical value of V ds . The effect becomes more pronounced for lower values of i gp and coincides at the V ds voltage where a significant increase in gate leakage current arises due to impact ionization.
Probing the Higgs boson-gluon coupling via the jet energy profile at 
e+e−
 colliders

The effective coupling of the Higgs boson to a gluon pair is one of the most important parameters to test the Standard Model and search for the new physics beyond. In this paper, we propose several new observables based on the jet energy profile to extract the effective coupling. The statistical uncertainties of the effective coupling extracted by using new observables are derived and estimated based on the simulation at the future $e^+e^-$ collider for $250$ GeV center-of-mass energy and 5 ab$^{-1}$ integrated luminosity. We found that the statistical uncertainties of effective coupling via the optimized observable can reach about $1.6\%$ in the channels of a $Z$ boson decaying to lepton pairs and is reduced by $52\%$ compared to the relevant uncertainties in the conventional approach. These new observables potentially can be helpful for the measurement of effective coupling at future $e^+e^-$ colliders.
Single-layer graphdiyne on Pt(111): Improved catalysis confined under two-dimensional overlayer

In recent years, two-dimensional confined catalysis, i.e. the enhanced catalytic reactions in confined spaces between metal surface and two-dimensional overlayer, makes a hit and opens up a new way to enhance the performance of catalysts. In this work, graphdiyne overlayer was proposed as a more excellent material than graphene or hexagonal boron nitride for two-dimensional confined catalysis. Density functional theory calculations revealed the superiority of graphdiyne overlayer originated from the steric hindrance effect which increases the catalytic ability and lowers the reaction barriers. Moreover, with the big triangle holes as natural gas tunnels, graphdiyne possesses higher efficiency for the transit of gaseous reactants and products than graphene or hexagonal boron nitride. The results in this work would benefit future development two-dimensional confined catalysis.
Optical Music Recognition using Deep Neural Networks

Optical music recognition is a challenging field similar in many ways to optical text recognition. It brings, however, many challenges that traditional pipeline-based recognition systems struggle with. The end-to-end approach has proven to be superior in the domain of handwritten text recognition. We tried to apply this approach to the field of OMR. Specifically, we focused on handwritten music recognition. To resolve the lack of training data, we developed an engraving system for handwritten music called Mashcima. This engraving system is successful at mimicking the style of the CVC-MUSCIMA dataset. We evaluated our model on a portion of the CVC-MUSCIMA dataset and the approach seems to be promising.
A Comprehensive Review on Tropical Cyclone Prediction Based on Deep Learning Techniques with Data Analytics

: Tropical Cyclones occupy main part of worry in meteorology, examinations in regards to the axisymmetric structures, dynamic components, as well as estimating procedures beyond hundred years. Precise and productive demonstrating of the breeze field is basic to viable moderation of misfortunes because of the Tropical Cyclones - related perils. The Tropical Cyclones (TC) track conjecture is as yet a difficult issue. For functional TC figures, it is valuable for forecasters to observe the comparable TC in history and reference its information to further develop TC. Lately, the accessibility of reasonable TC information has expanded and further developed methods have been created, notwithstanding old strategies having been adjusted. Specifically, Deep Learning based methods are currently being considered at meteorological workplaces. This new procedure involves openly accessible satellite pictures as information, can be run on standard PCs, and can create estimates with great exactness. Thus, Deep Learning based procedures appear to be particularly appropriate for agricultural nations which have restricted ability to gauge typhoons and where human losses are the most noteworthy. In this review, the best in class investigations of Deep Learning - based weather conditions gauging and Tropical Cyclone forecast utilizing Deep Learning models. The benefits and constraint of the condition of-craftsmanship techniques have been talked about.
On Neck Singularities for 2-Convex Mean Curvature Flow

In this paper we are dealing with mean curvature flow with surgeries of two-convex hypersurfaces. The main focus is to expand on the discussion in Section $3$ of Mean Curvature Flow with Surgeries of Two-Convex Hypersurfaces by Huisken and Sinestrari. Firstly we wish to establish how the neck detection lemma allows us to detect necks where the cross sections will be diffeomorphic to $S^{n-1}$. We then want to see how we are able to glue these cross sections together with full control on their parametrisation - for this we will show we can use a harmonic spherical parametrisation using the techniques from Hamiltons paper, Four-manifolds with Positive Isotropic Curvature. We then introduce the notion of a normal and maximal necks, this allows us to obtain uniqueness, existence and overlapping properties for normal parametrisations on $(\epsilon,k)$-cylindrical hypersurface necks. Lastly given a neck $N:S^{n-1}\times[a,b]\to\mathcal{M}$ we want to see that in the case that either $a=\infty$ or $b=\infty$ that this forces them to both to be $\infty$ and that we are left with a solid tube $S^{n-1}\times S^1$.
Comparison arthroscopic reconstruction and percutaneous reconstruction of ankle lateral ligament for chronic ankle lateral instability: A protocol for a meta-analysis of comparative studies

Background: Ankle sprains occur very frequently in daily life, but people who do not pay attention to them and do not receive proper diagnosis and treatment are very prone to develop chronic ankle lateral instability (CALI) at a later stage. For CALI where conservative treatment has failed, reconstruction of the lateral collateral ligament of the ankle can achieve satisfactory results, but there are various and controversial ways of ligament reconstruction. While percutaneous reconstruction of ankle lateral ligament (PLCLR) needs to be performed repeatedly under fluoroscopy, total arthroscopic reconstruction of ankle lateral ligament (ALCLR) is increasingly recognized by experts and scholars for its minimally invasive and precise characteristics, and has achieved good clinical results. Therefore, it is imperative that a meta-analysis be performed to provide evidence as to whether there is a difference between ALCLR and PLCLR in the treatment of CALI. Methods: We will search articles in 7 electronic databases including Chinese National Knowledge Infrastructure, Wanfang Data, Chinese Scientific Journals Database, Chinese databases SinoMed, PubMed, Embase, and Cochrane Library databases. All the publications, with no time restrictions, will be searched without any restriction of language and status, the time from the establishment of the database to September 2022.We will apply the risk-of-bias tool of the Cochrane Collaboration for Randomized Controlled Trials to assess the methodological quality. Risk-of-Bias Assessment Tool for Non-randomized Studies was used to evaluate the quality of comparative studies. Statistical analysis will be conducted using RevMan 5.4 software. Results: This systematic review will evaluate the functional outcomes and radiographic results of ALCLR in the treatment of CALI. Conclusion: The conclusion of this study will provide evidence for judging whether ALCLR is superior to PLCLR for treatment of CALI. Trial registration number: CRD42022362045.
Luminosity functions of cluster galaxies

We derive NUV luminosity functions for 6471 NUV detected galaxies in 28 0.02 < z < 0.08 clusters and consider their dependence on cluster properties. We consider optically red and blue galaxies and explore how their NUV LFs vary in several cluster subsamples, selected to best show the influence of environment. Our composite LF is well fit by the Schechter form with M*NUV = −18.98 ± 0.07 and α = −1.87 ± 0.03 in good agreement with values for the Coma centre and the Shapley supercluster, but with a steeper slope and brighter L* than in Virgo. The steep slope is due to the contribution of massive quiescent galaxies that are faint in the NUV. There are significant differences in the NUV LFs for clusters having low and high X-ray luminosities and for sparse and dense clusters, though none are particularly well fitted by the Schechter form, making a physical interpretation of the parameters difficult. When splitting clusters into two subsamples by X-ray luminosity, the ratio of low to high NUV luminosity galaxies is higher in the high X-ray luminosity subsample (i.e., the luminosity function is steeper across the sampled luminosity range). In subsamples split by surface density, when characterised by Schechter functions the dense clusters have an M* about a magnitude fainter than that of the sparse clusters and α is steeper (−1.9 vs. −1.6, respectively). The differences in the data appear to be driven by changes in the LF of blue (star-forming) galaxies. This appears to be related to interactions with the cluster gas. For the blue galaxies alone, the luminosity distributions indicate that for high LX and high velocity dispersion cluster subsamples (i.e., the higher mass clusters), there are relatively fewer high UV luminosity galaxies (or correspondingly a relative excess of low UV luminosity galaxies) in comparison the lower mass cluster subsamples.
Which is the best way for patients with ureteral obstruction? Percutaneous nephrostomy versus double J stenting

Background: Percutaneous nephrostomy (PCN) and Double J stenting (DJS) are the 2 main treatment options of ureteral obstruction. We evaluate which of these 2 methods is superior concerning the course of procedure, postoperative complication and quality of life. Methods: A detailed review of electronic databases including PubMed, Embase, Cochrane Library, China Biology Medicine disc, China National Knowledge Infrastructure up to February 21st, 2021 was searched. Continuous data were evaluated using mean difference (MD) with 95% confidence interval (CI), while nominal data were analyzed by risk ratio (RR) with 95% CI. Meanwhile, we performed the subgroup analysis based on study design, disease type, sample size, sepsis, DJ diameter, nephrostomy diameter, anesthesia type and guidance under X-ray or ultrasound. Results: There were 18 previous studies included in current study. As a result, we found that there were significant differences in fluoroscopy time (MD = 0.31; 95% CI, 0.14–0.48, P < .001) and hospital stay (MD = 1.23; 95% CI, 0.60–1.85, P < .001). However, no statistic difference was detected in operative time (MD = 5.40; 95% CI, −1.78 to 12.58, P = .140) between the paired groups. Although DJS showed a higher rate of postoperative complications (25.19% vs 17.61%), there was no significant difference in the incidence of complications following DJS and PCN (RR = 0.92; 95% CI, 0.60–1.43; P = .720). Based on the EuroQol analysis, the 2 main treatment options had different impacts on quality of life. The pooled results showed that PCN patients reported more difficulties in self-care compared to DJS patients (RR = 3.07; 95% CI, 1.32–7.14; P = .009). Conclusions: DJS is a safe and better method of temporary urinary diversion than PCN for management of ureteral obstruction with shorter fluoroscopy time and hospital stay. As for quality of life, patients receiving PCN had a distinct difficulty in self-care compared to those receiving DJS. However, these 2 treatment options often depends on the individual situation.
Original Research: TikTok's ‘Dancing Nurses’ During the COVID-19 Pandemic: A Content Analysis

ABSTRACT Background: Amid the challenges of the ongoing COVID-19 pandemic, health care workers are using social media to publish increasing numbers of posts, memes, and videos. On TikTok, a rapidly growing and widely used social networking platform, videos labeled “dancing nurses” have recently been trending. Whether nurses or the general public consider such videos to breach professional ethical standards is unknown. Purpose: The aim of this study was to analyze and describe the use of the social media platform TikTok by nurses whose videos featured dancing nurses during the ongoing pandemic. Methods: Between March 1 and December 31, 2020, we conducted a search on TikTok using terms such as dancing nurse and hashtags such as “#dancingnurse. ” For each identified video, the numbers of followers, views, likes, concurrent COVID-19 morbidity and mortality rates, and other data were collected. For videos meeting the inclusion criteria, content analysis was performed to evaluate dancing nurse behaviors and apply the American Nurses Association (ANA) Code of Ethics for Nurses with Interpretive Statements, ANA social networking principles, and National Council of State Boards of Nursing social media guidelines. Results: A total of 52 videos met all inclusion criteria and were included for analysis. These videos had a mean of 1.51 million views each. Among these videos, there were 356 violations of Code of Ethics provisions, social networking principles, and social media guidelines. Forty of the videos (77%) included a choreographed dance; 24 (46%) contained twerking and three (6%) featured dance moves such as pelvic thrusts and gyrations. Conclusion: The findings offer insight into how nurses are using TikTok, specifically with regard to posting videos that feature dancing nurses. Some of the analyzed videos included content that could be construed, in our view, as inappropriate and even sexually suggestive. The concern is that such videos could damage the professional image of nurses and downplay the seriousness of the current pandemic. It's essential that nurses who use social media consider the content and presentation of what they post. There is an urgent need for nurses to understand professional and workplace guidelines and policies regarding the use of social media, and how these may apply to content developed and posted on platforms such as TikTok. The authors examine the use of TikTok by nurses who incorporate dance into their videos—with a focus on understanding how nurses' use of social media might be violating professional ethical standards.
Semi-supervised Learning in Optical Music Recognition

Optical music recognition (OMR) is a niche subfield of computer vision, where some labeled datasets exist, but there is an order of magnitude more unlabeled data available. Recent advances in the field happened largely thanks to the adoption of deep learning. However, such neural networks are trained using labeled data only. Semi-supervised learning is a set of techniques that aim to incorporate unlabeled data during training to produce more capable models. We have modified a state-of-the-art object detection architecture and designed a semi-supervised training scheme to utilize unlabeled data. These modifications have successfully allowed us to train the architecture in an unsupervised setting, and our semi-supervised experiments indicate improvements to training stability and reduced overfitting.
The Principal Axis of the Virgo Cluster

Using accurate distances to individual Virgo Cluster galaxies obtained by the method of surface brightness fluctuations, we show that Virgo's brightest elliptical galaxies have a remarkably collinear arrangement in three dimensions. This axis, which is inclined by ~10°-15° from the line of sight, can be traced to even larger scales where it appears to join a filamentary bridge of galaxies connecting Virgo to the rich cluster Abell 1367. The orientations of individual Virgo elliptical galaxies also show some tendency to be aligned with the cluster axis, as does the jet of the supergiant elliptical galaxy M87. These results suggest that the formation of the Virgo Cluster, and its brightest member galaxies, have been driven by infall of material along the Virgo-A1367 filament.
Distinct human (cid:2) (1,3)-fucosyltransferases drive Lewis-X/sialyl Lewis-X assembly in human cells

In humans, six (cid:2) (1,3)-fucosyltransferases ( (cid:2) (1,3)-FTs: FT3/ FT4/FT5/FT6/FT7/FT9) reportedly fucosylate terminal lactosaminyl glycans yielding Lewis-X (Le X ; CD15) and/or sialyl Lewis-X (sLe X ; CD15s), structures that play key functions in cell migration, development, and immunity. Prior studies analyzing (cid:2) (1,3)-FT specificities utilized either purified and/or recombinant enzymes to modify synthetic substrates under nonphysi-ological reaction conditions or molecular biology approaches wherein (cid:2)
Spectrophotometry of galaxies in the Virgo cluster , II. The data

Drift-scan mode (3600-6800 A) spectra with 500 < R < 1000 resolution are presented for 333 galaxies members of nearby clusters, covering the whole Hubble sequence. The majority (225) were obtained for galaxies in the Virgo cluster where a completeness of 36%, if all Hubble types are considered, and of 51%, restricting to late-types, was reached at m p < 16. Our data can be therefore considered representative of the integrated spectral properties of giant and dwarf galaxies in this cluster. Intensities and equivalent widths (EWs) are derived for the principal lines, both in emission and in absorption. Deblending of the underlying absorption from emission was achieved in most cases.
The MACHO Project Large Magellanic Cloud Variable Star Inventory. III. Multimode RR Lyrae Stars, Distance to the Large Magellanic Cloud, and Age of the Oldest Stars

We report the discovery of 73 double-mode RR Lyrae (RRd) stars in fields near the bar of the Large Magellanic Cloud (LMC). The stars are detected among the MACHO database of short-period variables that currently contains about 7900 RR Lyrae stars. Fundamental periods (P0) for these stars are found in the range 0.46-0.55 days, and first-overtone-to-fundamental period ratios are found to be in the range 0.742 < P1/P0 < 0.748. The range in period ratios is unexpectedly large, and a significant fraction of our current sample has period ratios smaller than any previously discovered RRd variables. We present mean magnitudes, colors, and light-curve properties for all LMC RRd stars detected to date. We undertake a determination of the absolute magnitudes for these stars based primarily on pulsation theory and on the assumption that all observed stars are at the fundamental blue edge of the instability strip. Comparison of the calibrated MACHO V and RKC photometry with these derived absolute magnitudes yields an absorption-corrected distance modulus to the LMC of 18.48 ± 0.19 mag that is in good agreement with that found (18.5) through comparison of Galactic and LMC Cepheids. Exploring this luminosity calibration, we derive an increase in the distance modulus, and thus a reduction in the age found via isochrone fitting, for M15 of about 30% and discuss some implications for cosmology.
Impact of bias and redshift-space modelling for the halo power spectrum: testing the effective field theory of large-scale structure

We study the impact of different bias and redshift-space models on the halo power spectrum, quantifying their effect by comparing the fit to a subset of realizations taken from the WizCOLA suite. These provide simulated power spectrum measurements between kmin = 0.03 h/Mpc and kmax = 0.29 h/Mpc, constructed using the comoving Lagrangian acceleration method. For the bias prescription we include (i) simple linear bias; (ii) the McDonald & Roy model and (iii) its coevolution variant introduced by Saito et al.; and (iv) a very general model including all terms up to one-loop and corrections from advection. For the redshift-space modelling we include the Kaiser formula with exponential damping and the power spectrum provided by (i) tree-level perturbation theory and (ii) the Halofit prescription; (iii) one-loop perturbation theory, also with exponential damping; and (iv) an effective field theory description, also at one-loop, with damping represented by the EFT subtractions. We quantify the improvement from each layer of modelling by measuring the typical improvement in χ2 when fitting to a member of the simulation suite. We attempt to detect overfitting by testing for compatibility between the best-fit power spectrum per realization and the best-fit over the entire WizCOLA suite. For both bias and the redshift-space map we find that increasingly permissive models yield improvements in χ2 but with diminishing returns. The most permissive models show modest evidence for overfitting. Accounting for model complexity using the Bayesian Information Criterion, we argue that standard perturbation theory up to one-loop, or a related model such as that of Taruya, Nishimichi & Saito, coupled to the Saito et al. coevolution bias model, is likely to provide a good compromise for near-future galaxy surveys operating with comparable kmax.
Plastic model with non‐local damage applied to concrete

The present paper deals with a certain class of regularized models for concrete failure, combining plasticity with non‐local damage. The plastic part is local and uses a yield condition formulated in the effective stress space. Softening is incorporated through the damage part of the model. Damage is considered as isotropic and linked to the evolution of plastic strain. The regularized version of the model is based on weighted spatial averaging of the damage‐driving variable. Conditions for a mesh‐independent description of the localized zone of inelastic strains are studied using one‐ and two‐dimensional examples solved by simple non‐local damage‐plasticity models, in two dimensions with non‐associated flow. Then, the framework is applied to an advanced model for concrete. Structural examples with tensile and compressive failure are presented. Copyright © 2005 John Wiley & Sons, Ltd.