Miracle-dz/UniFAR-FTUs huggingface dataset:
A magnetic study of spotted UV Ceti flare stars and related late-type dwarfs

A multichannel photoelectric Zeeman analyzer has been used to investigate the magnetic nature of the spotted UV Ceti flare stars. Magnetic observations were obtained on a sample of 19 program objects, of which 5 were currently spotted dKe--dMe stars, 7 were normal dK--dM stars, 7 were UV Ceti flare stars, and 1 was a possible post--T Tauri star. Contrary to most previously published observations and theoretical expectations, no magnetic fields were detected on any of these objects from either the absorption lines or the H.cap alpha. emission line down to an observational uncertainty level of 100--160 gauss (standard deviation). The complex time-variable H.cap alpha. emission profile on the prototype spotted flare star BY Draconis is shown to arise, not from magnetic splitting, as suggested by previous researchers, but rather from the superposition of optically thick chromospheric emission profiles arising from each component of the binary system, which shift relative to each other as a result of orbital motion. A comparison with previous data revealed that the H.cap alpha. emission strength from the primary has been steadily increasing during the past 3 yr and is evidence of a gradual chance in the overall structure of the entire chromosphere during this timemore » interval. The increase was sufficient to alter the spectral type from dMO in 1974 to dMOe in 1977, showing that some of the late-type dwarfs can change between dM and dMe on several-year time scales. For these stars, a distinction between the two classes seems inappropriate. « less
On the well‐posedness of the Euler equations in the Triebel‐Lizorkin spaces

We prove local‐in‐time unique existence and a blowup criterion for solutions in the Triebel‐Lizorkin space for the Euler equations of inviscid incompressible fluid flows in ℝn, n ≥ 2. As a corollary we obtain global persistence of the initial regularity characterized by the Triebel‐Lizorkin spaces for the solutions of two‐dimensional Euler equations. To prove the results, we establish the logarithmic inequality of the Beale‐Kato‐Majda type, the Moser type of inequality, as well as the commutator estimate in the Triebel‐Lizorkin spaces. The key methods of proof used are the Littlewood‐Paley decomposition and the paradifferential calculus by J. M. Bony. © 2002 John Wiley & Sons, Inc.
Periodic band formation of Fe(OH)3 precipitate through reaction–diffusion–reaction processes

This paper reports a new class of periodic banding of Fe(OH)3 precipitate through reaction–diffusion–reaction (RDR) processes in agarose gel sandwiched between two metal rods (Ti and Fe) with cyclic alternating voltages. In the RDR processes, electrochemical reactions at metal rods to generate reactant ions, diffusion of the ions influenced by the electric field in the gel, and reactions of the ions to form precipitates were coupled to generate periodic bands of Fe(OH)3 precipitates at the cathode side. The banding morphologies, spatial Fe distribution, and microscopic morphologies of the precipitates were investigated by visual inspection, Fe Kα intensity distribution measurements, and scanning electron microscopy observations. The periodic banding strongly depended on the applied voltages, the periods for voltage alternation, the cycle number (N C), and the length of the gel column. Periodic bands resembling Liesegang bands were most clearly observed with high reproducibility for 50 mm gel columns under the applied cyclic alternating voltages of 3 and 1 V for 1 and 4 h, respectively. The number of the periodic bands formed in this system was generally given by N C—N C1 + 1, where N C1 is the cycle number where the first band emerges. These periodic bands contained significant amounts of Fe atoms that were almost uniformly distributed in the agarose gel, strongly supporting the formation of gelatinous Fe(OH)3 precipitates in the bands.
On the Use of Imprecise Probabilities in Reliability

Theory of imprecise probability generalizes classical probability theory, by assigning to each event an interval instead of a single number. In this paper, we briefly discuss this generalization and some recently suggested applications of imprecise probabilities in reliability. We also comment on challenges for research and applications. Copyright © 2004 John Wiley & Sons, Ltd.
Performance evaluation of time-of-flight and structured light depth sensors in radiometric/geometric variations

Abstract. Time-of-flight (ToF) and structured light depth cameras capture dense three-dimensional (3-D) geometry that is of great benefit for many computer vision problems. For the past couple of years, depth image based gesture recognition, 3-D reconstruction, and robot localization have received explosive interest in the literature. However, depth measurements present unique systematic errors, specifically when objects have specularity or translucency. We present a quantitative evaluation and analysis of depth errors using both ToF and structured light depth cameras. The evaluation framework used includes a dataset of carefully taken depth images with radiometric/geometric variations of real world objects and their ground truth depth. Our analysis and experiments reveal the different characteristics of the two sensor types and indicate that obtaining high quality depth image from real-world scene still remains a challenging, unsolved problem.
Interacting E+A System SDSS J161330.18+510335.5. I. Spatially Extended Poststarburst Signatures and Age Gradient

An E+A galaxy and its neighbor were viewed with a long-slit spectrograph (FOCAS) mounted on the Subaru telescope. The galaxy is thought to be experiencing a dynamical interaction with its neighbor, and we have confirmed that the neighbor galaxy is at the same redshift. The neighbor galaxy shows no signs of current star formation or poststarburst activity. We investigated the spatial extent of the poststarburst signatures using long-slit spectroscopy of the E+A galaxy. The signatures extend over more than 5 kpc from the core to the tidal plume, which suggests that the starburst was a galaxy-wide phenomenon. We found a positive gradient in the age of young stars from the center to the outer regions of the plume.
SOME LINEAR REPRESENTATIONS OF BRAID GROUPS

In this paper we exhibit a way of obtaining linear representations of the braid groups Bn over ℤ[t] by studying their action on the set of isotopy classes of sets of simple closed curves on a punctured disc. The cases n=3, 4, 5 are shown to be very different from the cases n>5. We show a connection between representations of B3 and Pascal's triangle. We also show that there is a sequence of polynomials κi(t), i≥0, related to polynomials Pi(t) defined by V. F. R. Jones all of whose roots give values of t for which these representations are not faithful.
Mathematical approach of fiber optics for renewable energy sources using general adversarial networks

It is significantly more challenging to extend the visibility factor to a higher depth during the development phase of a communication system for subterranean places. Even if there are numerous optical fiber systems that provide the right energy sources for intended panels, the visibility parameter is not optimized past a certain point. Therefore, the suggested method looks at the properties of a fiber optic communication system that is integrated with a certain energy source while having external panels. A regulating state is established in addition to characteristic analysis by minimizing the reflection index, and the integration of the general adversarial network (GAN) optimizes both central and layer formations in exterior panels. Thus, the suggested technique uses the external noise factor to provide relevant data to the control center via fiber optic shackles. As a result, the normalized error is smaller, boosting the suggested method's effectiveness in all subsurface areas. The created mathematical model is divided into five different situations, and the results are simulated using MATLAB to test the effectiveness of the anticipated strategy. Additionally, comparisons are done for each of the five scenarios, and it is found that the proposed fiber-optic method for energy sources is far more effective than current methodologies.
Suppression of Platelet-Derived Growth Factor Receptor-Alpha Overcomes Resistance to Trastuzumab through STAT3-Dependent IL-6 Reduction in HER2-Positive Breast Cancer Cells

Platelet-derived growth factor receptor (PDGFR) plays an essential role in the proliferation and invasion of malignant cancer cells. However, the functional role of PDGFR alpha (PDGFRA) in HER2-positive (HER2+) breast cancer has not been fully clarified yet. Thus, the objective of this study was to investigate the clinical significance of PDGFRA and the therapeutic potential of PDGFR inhibitors as part of an effort to overcome trastuzumab (TRZ) resistance. Aberrant PDGFRA expression is closely associated with decreased survival in HER2+ breast cancers. Therefore, we established BT474 trastuzumab-sensitive (TRZ_S) and trastuzumab-resistant (TRZ_R) cells to investigate the association between PDGFR signaling and TRZ resistance. We found that PDGFRA was significantly upregulated in the BT474 TRZ_R cells. In addition, IL-6 expression, which was also found to be upregulated in the TRZ_R cells, was induced by PDGFC, a ligand of PDGFR. Next, we investigated the effects of ponatinib and sunitinib, PDGFR inhibitors, on the BT474 TRZ_R and HCC1954 (TRZ-resistant cell line) cells. These inhibitors decreased cell viability and migration in a dose-dependent manner. Additionally, IL-6 expression was decreased by ponatinib in both the BT474 TRZ_R and HCC1954 cells. In contrast, IL-6 was not suppressed by TRZ, implying that the PDGFRA/STAT3/IL-6 axis is associated with resistance to TRZ. In addition, we found that STAT3 and ERK phosphorylation were increased in the BT474 TRZ_R cells. IL-6 expression was suppressed by a STAT3 inhibitor, indicating that IL-6 expression is modulated downstream of STAT3. Taken together, these results suggest that PDGFRA could serve as a therapeutic target to overcome TRZ resistance.
Numerical analysis of step-index channel waveguides designed with a formally-equivalent separable index profile

Abstract A numerical test is proposed to evaluate the separability of a modal field supported by an inverted-rib waveguide, which was properly designed to make its general non-separable index profile formally equivalent to a separable one. The possibility of obtaining such a separable equivalent profile leads to much more simplicity in the design of channel waveguides and other more complicated integrated devices, since it is possible to obtain a quasi-exact solution to the modal propagation problem by using the effective index method. The influence of the different waveguide parameters on the field separability is also investigated in order to evaluate the flexibility of the design method.
The reversal mechanism and coercivity of Pt/sub 3/Co alloy film

In this article, Pt/sub 3/Co alloy film is produced using a sputtering system. To understand the reversal mechanism of the Pt/sub 3/Co alloy film, the recoil loops from the major hysteresis loop have been measured. The reversible magnetization M/sub rev/ dependence of the irreversible magnetization M/sub irr/ exhibits a minimum when M/sub irr/ is slightly larger than zero, which is the characteristic of a material that contains domain walls bowing during reversal caused by localized pinning due to dipolar fields for the films. By analyzing the linear dependence of the coercivity on the anisotropy field at different temperatures, the strength of the local dipolar fields N/sub eff/, which influences the creation of the reversed magnetic nucleus, is estimated. We found a positive value of N/sub eff/, which indicates that reversal process is favored by dipolar fields. It is also supposed that the dipolar fields originated from irregular local random anisotropy caused by residual stress, cavities, or inclusions, may be effective sources of pinning in the reversal process, and may strongly affect the coercivity of the film.
SARS-CoV-2 antibodies in dogs and cats in a highly infected area of Brazil during the pandemic

SARS-CoV-2 was a worldwide threat during the COVID-19 pandemic, and the state of Mato Grosso had the second highest mortality rate in Brazil, with 427. 4 deaths/100,000 inhabitants. However, no large-scale study among dogs and cats in such highly infected areas of Brazil has so far been conducted. Accordingly, the present study reports on a serosurvey among dogs and cats in Cuiabá, capital of Mato Grosso from November 2020 to July 2021, where the human mortality rate was 605/100,000 at that time. Overall, 33/762 dogs (4.3%) and 4/182 cats (2.2%) were found to be seropositive for SARS-CoV-2 through ELISA, and 3/762 dogs (0.4%) and 3/182 cats (1.6%) were seropositive through the serum neutralization test. Cats presented higher seroprevalence with higher titers of neutralizing antibodies. Although N-protein based ELISA may be a good screening test, cross-reactivity with other canine coronaviruses may impair its diagnostic use among dogs.
Hα surface photometry of galaxies in the Virgo cluster III. Observations with INT and NOT 2.5 m telescopes

We present H line imaging observations of 30 galaxies obtained at the 2.5 m INT and NOT telescopes. The observed galaxies are mostly BCD Virgo cluster galaxies. H+(NII) fluxes and equivalent widths, as well as images of all the detected targets are presented. With these observations, H data are available for'50% of the BCD galaxies listed in the VCC.
Explicit Fractional Model Order Estimation Using Unscented and Ensemble Kalman Filters

The article presents an approach for combining methods of recursive Bayesian estimation with models of dynamical systems with varying differentiation order. The work addresses the problem of explicit fractional order estimation and tracking by constructing an efficient Unscented Kalman filter, where the model order is directly estimated within an augmented state along with the variables of interest. The feasibility of the estimation method is assessed using a benchmark problem based on a simplified fractional neuron firing rate model and time-dependent differentiation order. The proposed technique is compared to an implicit method based on Interacting Multiple Model filtering and a computationally efficient method using a modification of the Ensemble Kalman filter. The performance with respect to different parameters and filter settings is analyzed and a corresponding discussion is provided.Copyright © 2011 by ASME
Characterizing Young Consumer Online Shopping Style: Indonesian Evidence

Young people make up the majority of online shoppers in Indonesia. The objectives of this study are to characterize the consumer decision-making styles of young internet users and to create a profile of their online shopping styles. A quantitative research approach was used to accomplish the research objectives. The primary data for the study were gathered by sending questionnaires via social media to consumers from Generation Z and millennials who buy goods through e-commerce in Indonesia; 400 people responded. The survey questions were based on the consumer style inventory (CSI). Seven characteristics of Indonesian young consumers’ online shopping styles are identified through factor analysis. According to the findings of this study, young consumers have a hedonic online shopping style in which they prefer high-quality products, seek entertainment when shopping, and are impulsive. Young consumers are obsessed with novelty and branded goods. They frequently have difficulty selecting online stores and products, but they are loyal to specific stores and brands. This study fills the gap by providing a more detailed understanding of the online shopping styles, with the implications of considering shopping styles when promoting the products and designing the user interface and user experience of an e-commerce store.
What drives the productivity growth of New Zealand district health boards: technology, efficiency, or scale?

Using the longitudinal data on New Zealand District Health Boards (DHBs) for the period 2011-2018, the total factor productivity (TFP) change and its components are evaluated using an input distance function and a cost function. The empirical results indicate that TFP decreased at an average rate of between 0.73 and 0.98 per cent annually, mainly due to the deterioration of the technological component, which averaged close to −2 per cent between 2011 and 2018. However, contrary to the technological component, the scale component improved every year at an average rate of 1–1.16 per cent, thus cushioning some of the effects of the deteriorating technological component of the TFP. The TFP also posted a one-off positive growth in 2016, following the nationwide implementation of an ‘elective initiative’ programme in the 2015–2016 year, which raised both the scale and efficiency (technical and cost) components to their highest levels. Furthermore, the study also demonstrates the consistency in the effect of scale and technological change components on the TFP under both primal and dual approaches.
Factors Affecting Vaccine Attitudes Influenced by the COVID-19 Pandemic

The development of vaccines has significantly contributed to the success of disease prevention. However, there has been a sharp decline in immunization rates since COVID-19 spread globally. Seemingly overnight, the world shut down and most non-essential medical procedures were postponed. Since the COVID-19 vaccine became available, and the world started going back to normal these vaccine rates have not recovered. In this paper, we review the published literature to explore how convenience factors, perceived risk of vaccination, media or anti-vaccination ideals/movements, and healthcare professionals affect an individual’s compliance to be vaccinated to better understand the factors that contribute to the change in overall vaccination rates.
Plants as Biofactories for Therapeutic Proteins and Antiviral Compounds to Combat COVID-19

The outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) had a profound impact on the world’s health and economy. Although the end of the pandemic may come in 2023, it is generally believed that the virus will not be completely eradicated. Most likely, the disease will become an endemicity. The rapid development of vaccines of different types (mRNA, subunit protein, inactivated virus, etc.) and some other antiviral drugs (Remdesivir, Olumiant, Paxlovid, etc.) has provided effectiveness in reducing COVID-19’s impact worldwide. However, the circulating SARS-CoV-2 virus has been constantly mutating with the emergence of multiple variants, which makes control of COVID-19 difficult. There is still a pressing need for developing more effective antiviral drugs to fight against the disease. Plants have provided a promising production platform for both bioactive chemical compounds (small molecules) and recombinant therapeutics (big molecules). Plants naturally produce a diverse range of bioactive compounds as secondary metabolites, such as alkaloids, terpenoids/terpenes and polyphenols, which are a rich source of countless antiviral compounds. Plants can also be genetically engineered to produce valuable recombinant therapeutics. This molecular farming in plants has an unprecedented opportunity for developing vaccines, antibodies, and other biologics for pandemic diseases because of its potential advantages, such as low cost, safety, and high production volume. This review summarizes the latest advancements in plant-derived drugs used to combat COVID-19 and discusses the prospects and challenges of the plant-based production platform for antiviral agents.
Indeterminate Probabilities on Finite Sets

This paper presents a quasi-Bayesian model of subjective uncertainty in which beliefs which are represented by lower and upper probabilities qualified by numerical confidence weights. The representation is derived from a system of axioms of binary preferences which differs from standard axiom systems insofar as completeness is not assumed and transitivity is weakened. Confidence-weighted probabilities may be elicited through the acceptance of bets with limited stakes, a generalization of the operational method of de Finetti. The model is applicable to the reconciliation of inconsistent probability judgments and to the sensitivity analysis of Bayesian decision models.
Tunable multi-wavelength resonance-Raman detection of bacteria and chemicals in complex environments

We are developing tunable-multi-wavelength resonance-Raman spectroscopy and algorithms to enable rapid detection and identification of bacteria and chemicals in complex environments. The system, dubbed SWOrRD, is capable of illuminating a sample containing many chemicals or biological agents with a sequence of laser wavelengths between 210nm and 2000nm; a range which encompasses the resonant frequencies of cells, microorganisms, cellular metabolites, and many chemicals; and measures the resonance-Raman spectra of light scattered from the sample at each laser wavelength. These multiple spectra, which contain much more information about the bond structure that is contained in a single spectrum, are analyzed by a linear-mixture algorithm, based on NRL's ORASIS, to determine the chemical and bacteriological constituents of the sample. The current status of the research will be described.
Increased Prolonged Sitting in Patients with Rheumatoid Arthritis during the COVID-19 Pandemic: A Within-Subjects, Accelerometer-Based Study

Background: Social distancing measures designed to contain the COVID-19 pandemic can restrict physical activity, a particular concern for high-risk patient groups. We assessed rheumatoid arthritis patients’ physical activity and sedentary behavior level, pain, fatigue, and health-related quality of life prior to and during the social distancing measures implemented in Sao Paulo, Brazil. Methods: Post-menopausal females diagnosed with rheumatoid arthritis were assessed before (from March 2018 to March 2020) and during (from 24 May to 7 July 2020) social distancing measures to contain COVID-19 pandemic, using a within-subjects, repeated-measure design. Physical activity and sedentary behavior were assessed using accelerometry (ActivPAL micro). Pain, fatigue, and health-related quality of life were assessed by questionnaires. Results: Mean age was 60.9 years and BMI was 29.5 Kg/m2. Disease activity ranged from remission to moderate activity. During social distancing, there were reductions in light-intensity activity (13.0% [−0.2 h/day, 95% CI: −0.4 to −0.04; p = 0.016]) and moderate-to-vigorous physical activity (38.8% [−4.5 min/day, 95% CI: −8.1 to −0.9; p = 0.015]), but not in standing time and sedentary time. However, time spent in prolonged bouts of sitting ≥30 min increased by 34% (1.0 h/day, 95% CI: 0.3 to 1.7; p = 0.006) and ≥60 min increased by 85% (1.0 h/day, 95% CI: 0.5 to 1.6). There were no changes in pain, fatigue, and health-related quality of life (all p > 0.050). Conclusions: Imposed social distancing measures to contain the COVID-19 outbreak were associated with decreased physical activity and increased prolonged sedentary behavior, but did not change clinical symptoms sitting among patients with rheumatoid arthritis.