Miracle-dz/UniFAR-FTUs huggingface dataset:
The Enhancement and Decrement of the Sunyaev-Zeldovich Effect toward the ROSAT Cluster RX J0658–5557

We report simultaneous observations of the X-ray cluster RX J0658-5557 at 1.2 and 2 mm made with a double-channel photometer on the Swedish ESO Submillimeter Telescope (SEST) in search of Sunyaev-Zeldovich (SZ) effect. The SZ data were analyzed using the relativistically correct expression for the Comptonization, and we find (2.60±0.79)×10−4 from the detected decrement, which is consistent with that computed using the X-ray (ROSAT and ASCA) observations. The uncertainty includes contributions from statistical uncertainties in the detection, systematics, and calibration. The 1.2 mm channel data alone give rise to a larger Comptonization parameter; this result is discussed in terms of contamination from foreground sources and/or dust in the cluster or from a possible systematic effect. We then make use of a combined analysis of the ROSAT and ASCA X-ray satellite observations to determine an isothermal model for the SZ surface brightness. Since the cluster is asymmetrical and probably in a merging process, models are only approximate. The associated uncertainty can, however, be estimated by exploring a set of alternative models. We then find a factor of 1.3 for the global uncertainty on the Comptonization parameter. Combining the SZ and the X-ray measurements, we determine a value for the Hubble constant. The 2 mm data are consistent with H0(q0=½)=53+38−28 km s-1 Mpc-1, where the uncertainty is dominated by the uncertainty in the models of the X-ray plasma halo.
Self-organization of traffic jams in cities: effects of stochastic dynamics and signal periods

We propose a cellular automata model for vehicular traffic in cities by combining (and appropriately modifying) ideas borrowed from the Biham-Middleton-Levine (BML) model of city traffic and the Nagel-Schreckenberg (NS) model of highway traffic. We demonstrate a phase transition from the "free-flowing" dynamical phase to the completely "jammed" phase at a vehicle density which depends on the time periods of the synchronized signals and the separation between them. The intrinsic stochasticity of the dynamics, which triggers the onset of jamming, is similar to that in the NS model, while the phenomenon of complete jamming through self-organization as well as the final jammed configurations are similar to those in the BML model. Using our model, we have made an investigation of the time dependence of the average speeds of the cars in the "free-flowing" phase as well as the dependence of flux and jamming on the time period of the signals.
Effectiveness of the red-edge band of RapidEye in land cover classification

ABSTRACT This study examined the effectiveness of the red-edge band using RapidEye satellite images for land cover classification. The analysis comprises three schemes for evaluating the effectiveness of the red-edge band: principal component analysis (PCA), vegetation index, and supervised image classification. The factor loadings computed by means of PCA were applied to analyze the importance of each band in the training samples. The analysis results of the factor loadings indicated that the red-edge band performed better than the visible band in the vegetation region. When rice paddy and peanuts were classified using the NDVI_RE, the improvement in accuracy was approximately 7%. Further, the accuracy of rice paddy classification using CMFI_RE was improved by approximately 6%. It can thus be inferred that the red-edge band made a certain contribution to vegetation classification. In land cover classification using reflectance, the accuracy of the support vector machine (SVM) was higher than that of the maximum likelihood classifier (MLC), the iterative self-organizing data analysis technique, and the K-means algorithm. When the red-edge band was included, the overall accuracy improved from 1% to 3%. The results of our experiments indicated that the red-edge band contributed marginally to land cover classification.
Theory of Spin Fluctuation-Induced Superconductivity Based on a d- p Model

Spin fluctuation-induced superconductivity is studied on a two-dimensional d - p model by using a strong coupling theory, and is applied to interpret high- T c cuprates. A self-consistent renormalization scheme is employed within the so-called fluctuation exchange (FLEX) approximation or the renormalized random phase approximation (RRPA). Using the band parameter values which approximately reproduce the observed Fermi surface and the d - and p -hole numbers estimated from NMR experiments, we get reasonable values for T c in an optimum and overdoped concentration range. The dynamical susceptibility, the nuclear spin-lattice relaxation rate and the one electron spectral density are well compared with the existing experimental results.
Postorder rearrangement operators

We investigate the rearrangement of the Haar system induced by the postorder on the set of dyadic intervals in $[0,1]$ with length greater than or equal to $2^{-N}$. By means of operator norms on $\text{BMO}_N$ we prove that the postorder has maximal distance to the usual lexicographic order.
Corrigendum: On the Floer Homology of Cotangent Bundles

We fix an orientation issue that appears in our previous paper about the isomorphism between Floer homology of cotangent bundles and loop space homology. When the second Stiefel‐Whitney class of the underlying manifold does not vanish on 2‐tori, this isomorphism requires the use of a twisted version of the Floer complex. © 2014 Wiley Periodicals, Inc.
Changes in Mood, Anxiety, and Cognition with Polycystic Ovary Syndrome Treatment: A Longitudinal, Naturalistic Study

Purpose Individuals with polycystic ovary syndrome (PCOS) are at increased risk of depression and anxiety symptoms and impairment in aspects of cognitive function. However, there is little evidence regarding effects of standard treatment for PCOS on these features of the syndrome. The aim of this study was to examine the effect of 12 weeks of naturalistic treatment of PCOS, with usual medications, on depression symptoms, anxiety symptoms and cognitive function. Patients and Methods Thirty-three participants with PCOS received 12 weeks of individualised treatment based on clinical presentation. Changes in depression and anxiety symptoms were assessed with the self-report Hospital Anxiety and Depression Scale at baseline and 12 weeks, and cognitive function was assessed at the same time-points with a battery of tests spanning cognitive domains of verbal learning and memory, visuospatial learning and memory, psychomotor speed, attention and executive function. Outcomes were compared with a control group of 40 healthy participants. Results Participants with PCOS (mean age = 29.2 years; mean Body Mass Index = 27.4) were treated with a variety of medications, predominantly spironolactone (n = 22) and oral contraceptives (n = 16). Depression and anxiety symptoms improved significantly over the course of treatment, with moderate effect sizes (Cohen’s d 0.43–0.55, p < 0.05). Effect sizes of the difference in change from that of the control group were moderate but did not reach statistical significance. Women undergoing PCOS treatment demonstrated significant improvements in aspects of cognitive function, but improvement did not differ significantly from controls and effect size changes were similar, suggesting practise effects in both groups. Conclusion Our study provides preliminary evidence that treatment of PCOS may be associated with improvement in psychiatric aspects of the syndrome, particularly depressive symptoms.
Power control study of dynamic wireless charging system based on resonant point switching

Aiming at the problem of power fluctuation during the movement of the receiving coil in the current segmented dynamic wireless charging (DWC) system, a power control strategy for DWC systems based on resonant point switching is proposed. By controlling the operating frequency of the inverter power supply so that the system works at the second resonant point, the output power is decoupled from the mutual inductance of the coil under the condition that the receiver side moves, eliminating the need for double-ended communication. In this paper, the general mathematical model of the DWC system is established, and the general parameter conditions for realizing the zero-phase operation of the system are analyzed. It is found that there are two second resonance points on both sides of the main resonance point under the over-coupling condition. Furthermore, the energy transfer characteristics of the system under different resonance points are analyzed, and the characteristics that the second resonance point can achieve constant power are verified. Finally, the constant power characteristics of the DWC system at the second resonant point under the moving condition of the receiver are verified by simulation and experiment.
Structure of continuous-time ARMA process driven by semi-Levy measure

A class of continuous-time autoregressive moving average (CARMA) process driven by simple semi-Levy measure is defined and its properties are studied. We discuss some new insights on the structure of the semi-Levy measure which is described as periodically divisible measure. This consideration enable us to provide statistical property of the introduced process. We show that this process is well defined without having to assume further conditions on the measure. We find a kernel representation of the process and present the properties of first and second moments of it. Finally we show the efficiency of our model by implying simulated data.
Genistein Modified with 8-Prenyl Group Suppresses Osteoclast Activity Directly via Its Prototype but Not Metabolite by Gut Microbiota

Postmenopausal osteoporosis is a significant threat to human health globally. Genistein, a soy-derived isoflavone, is regarded as a promising anti-osteoporosis drug with the effects of promoting osteoblastogenesis and suppressing osteoclastogenesis. However, its oral bioavailability (6.8%) is limited by water solubility, intestinal permeability, and biotransformation. Fortunately, 8-prenelylated genistein (8PG), a derivative of genistein found in Erythrina Variegate, presented excellent predicted oral bioavailability (51.64%) with an improved osteoblastogenesis effect, although its effects on osteoclastogenesis and intestinal biotransformation were still unclear. In this study, an in vitro microbial transformation platform and UPLC-QTOF/MS analysis method were developed to explore the functional metabolites of 8PG. RANKL-induced RAW264.7 cells were utilized to evaluate the effects of 8PG on osteoclastogenesis. Our results showed that genistein was transformed into dihydrogenistein and 5-hydroxy equol, while 8PG metabolites were undetectable under the same conditions. The 8PG (10−6 M) was more potent in inhibiting osteoclastogenesis than genistein (10−5 M) and it down-regulated NFATC1, cSRC, MMP-9 and Cathepsin K. It was concluded that 8-prenyl plays an important role in influencing the osteoclast activity and intestinal biotransformation of 8PG, which provides evidence supporting the further development of 8PG as a good anti-osteoporosis agent.
Nutritional Quality, Techno-Functional Characteristics, and Safety of Biomass Powder and Protein Isolate Produced from Penicillium maximae

This study investigated the suitability of Penicillium maximae biomass powder and protein isolate as a food product or food ingredient. The biomass powder is rich in proteins (34.8%) and insoluble fiber (36.2%) but poor in lipids (3.1%). Strong water hydration (8.3 g/g, 8.5 g/g) and oil holding (6.9 g/g, 16.3 g/g) capacity were observed in the biomass powder and protein isolate, respectively, besides 100% emulsion stability, indicating multiple applications in the food industry. No locomotor impairment was induced in Drosophila melanogaster flies after consuming extracts of P. maximae biomass powder. Furthermore, decreased production of reactive oxygen species and preservation of survival, viability, and fertility parameters were observed in the nematode Caenorhabditis elegans, which reinforces the potential of P. maximae biomass for human and animal consumption. Together, the results show the vast food applicability of P. maximae biomass and protein isolate as protein substitutes with several health and environmental benefits.
Classically integral quadratic forms excepting at most two values

Let $S \subseteq \mathbb{N}$ be finite. Is there a positive definite quadratic form that fails to represent only those elements in $S$? For $S = \emptyset$, this was solved (for classically integral forms) by the $15$-Theorem of Conway-Schneeberger in the early 1990s and (for all integral forms) by the $290$-Theorem of Bhargava-Hanke in the mid-2000s. In 1938 Halmos attempted to list all weighted sums of four squares that failed to represent $S=\{m\}$; of his $88$ candidates, he could provide complete justifications for all but one. In the same spirit, we ask, "for which $S = \{m, n\}$ does there exist a quadratic form excepting only the elements of $S$? " Extending the techniques of Bhargava and Hanke, we answer this question for quaternary forms. In the process, we prove what Halmos could not; namely, that $x^2+2y^2+7z^2+13w^2$ represents all positive integers except $5$. We develop new strategies to handle forms of higher dimensions, yielding an enumeration of and proofs for the $73$ possible pairs that a classically integral positive definite quadratic form may except.
Online Monitoring Method of Junction Temperature for IGBT Devices by the Redefining Turn-off Delay Time

Online monitoring of junction temperature (Tj) for insulated gate bipolar transistors (IGBTs) is an important basis for life prediction and health management of IGBT devices. To this end, this paper proposes an online monitoring solution with thermal sensitive electrical parameter (TSEP) based on gate voltage extraction and the redefining turn-off delay time (tre-doff). Firstly, the temperature-sensitive mechanism and characteristics of the redefining turn-off delay time are analyzed, and the linear relationship between the turn-off delay time and junction temperature of IGBT is theoretically derived. Secondly, a sampling circuit of gate voltage signal is designed to transfer the delay time into voltage signal. Furthermore, an online monitoring model of junction temperature is developed and described as the function of voltage and current. Finally, the experiment results have verified the correctness of the above theoretical analysis. And the proposed online monitoring method of junction temperature for IGBT is feasible in practical applications and has highly accuracy rate. The maximum error and error percentage obtained by the proposed method are 3.3°C and 4.5% respectively.
Occurrence and Determination of Alternaria Mycotoxins Alternariol, Alternariol Monomethyl Ether, and Tentoxin in Wheat Grains by QuEChERS Method

The Alternaria mycotoxins such as alternariol (AOH), alternariol monomethyl ether (AME), and tentoxin (TEN) are mycotoxins, which can contaminate cereal-based raw materials. Today, wheat is one of the most important crops in temperate zones, and it is in increasing demand in the Western Balkans countries that are urbanizing and industrializing. This research aimed to investigate the occurrence and determine the concentration of Alternaria mycotoxins AOH, AME, and TEN in wheat samples from the Republic of Serbia and the Republic of Albania, harvested in the year 2020 in the period between 15 June and 15 July. A total of 80 wheat grain samples, 40 from each country, were analyzed by an QuEChERS (quick, easy, cheap, effective, rugged, and safe) method. From the obtained results, it can be seen that the mean concentration of AOH was 3.3 µg/kg and AME was 2.2 µg/kg in wheat samples from Serbia, while TEN from both Serbia and Albania was under the limit of quantification (<LOQ). The maximum of AOH and AME mycotoxins was recorded only in wheat grain samples collected in the Republic of Serbia (5.3 and 2.3 µg/kg). In conclusion, Alternaria mycotoxins have concentrations above the LOQ, which could be potentially considered a health hazard to both humans and animals.
EasyGoing@Home! Looking for a reproducible efficient flushing process in home parenteral nutrition

Home parenteral nutrition is a vital yet life-limiting therapy for many patients. Studies show that many patients would like to be able to briefly interrupt the 12 to 16 hours of daily nutrition therapy in order to perform daily routines. To this end, it is essential to clean the port catheter, which is located close to the heart with a saline solution before and after nutrition therapy to prevent food residues that can lead to life-threatening infections. This process is currently performed by professional nurses with lot of experience. The flushing process itself is not standardized and is passed from nurse to nurse as traditional knowledge. Nevertheless an automatic process which ensure a safe cleaning of the tube system would support patients in their autonomy. In order to find out the flushing parameters, this traditional knowledge must be extracted from nurses to translate it in technical parameter to later on integrate them into an existing pump system. For this purpose, an experimental setup has to be designed for the targeted contamination of needles under realistic conditions of home nutrition therapy.
The underlying connections between identifiability, active subspaces, and parameter space dimension reduction

The interactions between parameters, model structure, and outputs can determine what inferences, predictions, and control strategies are possible for a given system. Parameter space reduction and parameter estimation---and, more generally, understanding the shape of the information contained in models with observational structure---are thus essential for many questions in mathematical modeling and uncertainty quantification. As such, different disciplines have developed methods in parallel for approaching the questions in their field. Many of these approaches, including identifiability, sloppiness, and active subspaces, use related ideas to address questions of parameter dimension reduction, parameter estimation, and robustness of inferences and quantities of interest. In this paper, we show that active subspace methods have intrinsic connections to methods from sensitivity analysis and identifiability, and indeed that it is possible to frame each approach in a unified framework. A particular form of the Fisher information matrix (FIM), which we denote the sensitivity FIM, is fundamental to all three approaches---active subspaces, identifiability, and sloppiness. Through a series of examples and case studies, we illustrate the properties of the sensitivity FIM in several contexts. These initial examples show that the interplay between local and global and linear and non-linear strongly impact the insights each approach can generate. These observations underline that one's approach to parameter dimension reduction should be driven by the scientific question and also open the door to using tools from the other approaches to generate useful insights.
A computational approach for mode isolation for reaction-diffusion systems on arbitrary geometries

In this article we present a computational framework for isolating spatial patterns arising in the steady states of reaction-diffusion systems. Such systems have been used to model many different phenomena in areas such as developmental and cancer biology, cell motility and material science. Often one is interested in identifying parameters which will lead to a particular pattern. To attempt to answer this, we compute eigenpairs of the Laplacian on a variety of domains and use linear stability analysis to determine parameter values for the system that will lead to spatially inhomogeneous steady states whose patterns correspond to particular eigenfunctions. This method has previously been used on domains and surfaces where the eigenvalues and eigenfunctions are found analytically in closed form. Our contribution to this methodology is that we numerically compute eigenpairs on arbitrary domains and surfaces. Here we present various examples and demonstrate that mode isolation is straightforward especially for low eigenvalues. Additionally we see that if two or more eigenvalues are in a permissible range then the inhomogeneous steady state can be a linear combination of the respective eigenfunctions. Finally we show an example which suggests that pattern formation is robust on similar surfaces in cases that the surface either has or does not have a boundary.
Maximally extended sl ( 2 ∣ 2 ) as a quantum double

We derive the universal R-matrix of the quantum-deformed enveloping algebra of centrally extended sl ( 2 ∣ 2 ) using Drinfeld's quantum double construction. We are led to enlarging the algebra by additional generators corresponding to an sl ( 2 ) automorphism. For this maximally extended algebra we construct a consistent Hopf algebra structure where the extensions exhibit several uncommon features. We determine the corresponding universal R-matrix containing some non-standard functions. Curiously, this Hopf algebra has one extra deformation parameter for which the R-matrix does not factorize into products of exponentials.
SAW Hydrogen Sensors with Pd/SnO2 Layers

Pd/SnO2 bilayers for surface acoustic wave (SAW) sensors were obtained using pulsed laser deposition (PLD). Bilayers were made at several deposition pressures in order to observe the influence of the morphology of the sensitive films on the response of the sensors. The morphological properties were analyzed by scanning electron microscopy (SEM). The SnO2 monolayers were initially deposited on quartz substrates at 100, 400 and 700 mTorr, to observe their morphology at these pressures. The Pd/SnO2 bilayer depositions were made at 100 and 700 mTorr. The sensors realized with these sensitive films were tested at different hydrogen concentrations, in the range of 0.2–2%, at room temperature. In order to establish selectivity, tests for hydrogen, nitrogen, oxygen and carbon dioxide were carried out with SnO2-700, Pd-100/SnO2-700 and Pd-700/SnO2-700 sensors. The sensor with the most porous sensitive film (both films deposited at 700 mTorr) had the best results: a sensitivity of 0.21 Hz/ppm and a limit of detection (LOD) of 142 ppm. The morphology of the SnO2 film is the one that has the major influence on the sensor results, to the detriment of the Pd morphology. The use of Pd as a catalyst for hydrogen improved the sensitivity of the film considerably and the selectivity of the sensors for hydrogen.
ASAS-SN Identification of FY Sct as a Detached Eclipsing Binary System with a 2.6 Years Period

We report the identification of the bright (V${\sim}13.3$ mag) star FY Sct as a long period detached eclipsing binary using a combined ASAS-SN and ASAS light curve spanning 2000-2018. The orbital period is P${\sim}2.57$ years and the primary eclipse lasts ${\sim}73$ days. The eclipse profile is suggestive of a disk eclipsing binary rather than a stellar component. We also detect ${\sim}0.4$ mag pulsations with a period of P${\sim78}$ d. The next eclipse begins on September, 28, 2018. Further photometric and spectroscopic observations are encouraged, particularly when the system is in eclipse.