Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of exposure to aldehyde C9 (nonanal) on the electroencephalographic activity of humans according to time series analysis

Aldehyde C9 (nonanal) is naturally found in various essential oils and is mainly used for rose-like fragrances in perfumery products. This study aimed to evaluate the effect of exposure to aldehyde C9 odor on the electroencephalographic (EEG) activity of humans in relation to time series analysis. Healthy volunteers, 10 men and 10 women, were used for the EEG study. The EEG recording was done using eight-channel electrodes. The EEG measurement was conducted for a total of 30 seconds during the exposure to no odor and C9 odor, and recorded EEG data were examined for every second. In the results, only absolute mid-beta wave activity significantly changed at the left parietal region (8.8988– 7.7534 μV 2 ) for a total of 30 seconds analysis time. However, exposure to C9 odor produced significant changes in absolute wave activity at specific times during time series analysis except for absolute gamma. Furthermore, C9 odor affects the prefrontal (Fp1 and Fp2) and frontal (F3 and F4) regions when compared with temporal (T3 and T4) and parietal (P3 and P4) regions. Based on the results, it could be concluded that C9 odor greatly alters the EEG activity of humans in terms of analysis time.
Excitonic properties of semiconducting monolayer and bilayer MoTe2

MoTe2 belongs to the semiconducting transition-metal dichalcogenide family with certain properties differing from the other well-studied members (Mo, W)(S, Se)(2). The optical band gap is in the near-infrared region, and both monolayers and bilayers may have a direct optical band gap. We first simulate the single-particle band structure of both monolayer and bilayer MoTe2 with density-functional-theory-GW calculations. We find a direct (indirect) electronic band gap for the monolayer (bilayer). By solving in addition the Be the-Salpeter equation, we find similar energies for the direct exciton transitions in monolayers and bilayers. We then study the optical properties by means of photoluminescence (PL) excitation, reflectivity, time-resolved PL, and power-dependent PL spectroscopy. With differential reflectivity, we find a similar oscillator strength for the optical transition observed in PL in both monolayers and bilayers suggesting a direct transition in both cases. We identify the same energy for the B-exciton state in the monolayer and the bilayer. Following circularly polarized excitation, we do not find any exciton polarization for a large range of excitation energies. At low temperatures (T = 10 K), we measure similar PL decay times on the order of 4 ps for both monolayer and bilayer excitons with a slightly longer one for the bilayer. Finally, we observe a reduction of the exciton-exciton annihilation contribution to the nonradiative recombination in bilayers.
Comparison of Raman, Brillouin, and Rayleigh Distributed Temperature Measurements in High-Rate Wells

With the maturity of and demand for fiber optic sensing technology growing steadily over the last few years across multiple basins, operators are seeking fiber optic sensing solutions that address the technology challenges associated with life-of-field monitoring of subsea developments. Single-ended distributed temperature sensing (DTS) are typically acquired using Raman optical time-domain reflectometry (OTDR) on multi-mode fiber. However, for topside interrogation of subsea completions, Raman DTS performs poorly due to the available optical power budget, and the wavelength dependency of the measured Stokes and anti-Stokes intensities, as the temperature profile is calculated as a function of the ratios of these signals. The optical attenuation across connectors and splices may, in many instances, have a wavelength dependence that varies with temperature and/or directionality of the propagation of the optical signals. Any wavelength dependent attenuation as the signals pass through connectors, splices and optical feedthrough systems will generate step changes in the measured temperature profile. Brillouin OTDR can provide a DTS alternative that overcomes these challenges and operates on single mode fiber. Brillouin OTDR operates with a large dynamic range to measure a wavelength (frequency) shift of the Stokes/anti-Stokes components that is proportional to both strain and temperature. Since downhole cables are manufactured with optical fibers suspended in a gel and with appropriate extra fiber length (EFL), any fiber strain relaxes, and the Brillouin wavelength shift is an absolute temperature measurement. We typically associate coherent Rayleigh OTDR with distributed acoustic sensing (DAS) on single-mode fibers, but low frequencies also contain a relative temperature dependence. In this paper, we report on a comparison of Raman, Brillouin, and Rayleigh DTS simultaneously acquired in the same high-rate producer and injector wells. We validate that, with appropriate cable design, Brillouin DTS can be simultaneously operated on the same single-mode fiber with DAS, and can deliver absolute temperature measurements suitable for production analysis. We conclude with a discussion about the implementation of this DAS-DTS solution for sensing subsea completions.
The Application of Computer Intelligence in the Cyber-Physical Business System Integration in Network Security

In order to address the false alarm detection problem caused by the inability to identify the transgression scene pages in the process of horizontal transgression detection, this study proposes a deep learning-based LSTM-AutoEncoder unsupervised prediction model. The model uses long short-term memory network to build AutoEncoder, extracts text features of page response data of horizontal transgression scenario, and reconstructs text features to restore. Meanwhile, it counts the error between the restored result and the original page response, judges whether the detection result of horizontal transgression is false alarm according to the error threshold of unknown page, and tests the effectiveness of the model effect under real business data by comparing it with other two algorithms, one-class SVM and AutoEncoder, which provides security for enterprise network business. The results show that the LSTM-AutoEncoder model achieves a more balanced index in terms of accuracy, precision, recall, and F1-score in the case of MAE, which is 0.3% more and 0.2% more than the case of MSE in terms of recall and accuracy. It is concluded that the LSTM-AutoEncoder model is more in line with the real business requirements, and the simple model architecture selected for this study can reduce the complexity of the model, speed up the prediction time of the model in the application phase, and improve the performance of the detection software. This indicates that this study has some application prospects in network security.
PREDICTING A THIRD PLANET IN THE KEPLER-47 CIRCUMBINARY SYSTEM

We have studied the possibility that a third circumbinary planet in the Kepler-47 planetary system is the source of the single unexplained transiting event reported during the discovery of these planets. We applied the MEGNO technique to identify regions in the phase space where a third planet can maintain quasi-periodic orbits, and assessed the long-term stability of the three-planet system by integrating the entire five bodies (binary + planets) for 10 Myr. We identified several stable regions between the two known planets as well as a region beyond the orbit of Kepler-47c where the orbit of the third planet could be stable. To constrain the orbit of this planet, we used the measured duration of the unexplained transit event (∼4.15 hr) and compared that with the transit duration of the third planet in an ensemble of stable orbits. To remove the degeneracy among the orbits with similar transit durations, we considered the planet to be in a circular orbit and calculated its period analytically. The latter places an upper limit of 424 days on the orbital period of the third planet. Our analysis suggests that if the unexplained transit event detected during the discovery of the Kepler-47 circumbinary system is due to a planetary object, this planet will be in a low eccentricity orbit with a semi-major axis smaller than 1.24 AU. Further constraining of the mass and orbital elements of this planet requires a re-analysis of the entire currently available data, including those obtained post-announcement of the discovery of this system. We present details of our methodology and discuss the implication of the results.
Relationship among Insulin Therapy, Insulin Resistance, and Severe Coronary Artery Disease in Type 2 Diabetes Mellitus

Objectives The effect of insulin therapy on coronary artery disease (CAD) remains controversial. This study aimed to analyze the association between insulin resistance and the morbidity of severe CAD in type 2 diabetes mellitus (T2DM). Methods A total of 2044 T2DM patients aged ≥40 years were included in this cross-sectional observational study. Clinical information and laboratory results were collected from the medical records. Those who underwent percutaneous coronary intervention (PCI) were classified as severe CAD, while those who did not have a history of and were not suffering from CAD were classified as patients without CAD. Results T2DM patients with severe CAD and without CAD had no significant differences in glycosylated hemoglobin A1c (8.55% ± 2.10% vs. 8.39% ± 1.77%, P=0.234). The proportion of insulin treatment was also similar between the two groups (56.85% vs. 53.65%, odds ratio = 1.138, P=0.310). In the patients without insulin treatment, the levels of fasting C peptide (FCP) correlated with severe CAD prevalence. FCP was categorized into 3 tertiles (<1.5 ng/mL, 1.5 ng/mL- 3 ng/mL, and ≥3 ng/mL), and the prevalence rates of severe CAD were 7.88%, 14.31%, and 18.28%, respectively (P < 0.05). In the patients with insulin treatment, the body mass index (BMI) was the significant risk factor of severe CAD. The prevalence of severe CAD according to BMI tertiles (<24 kg/m2, 24 kg/m2–28 kg/m2, and ≥28 kg/m2) was 11.22%, 14.61%, and 24.62%, respectively (P < 0.01). Conclusions Our results showed that insulin resistance, rather than insulin therapy, increases the risk of severe CAD in T2DM patients with inadequate glycemic control. Non-insulin treated patients with high FCP and insulin-treated patients with high BMI are at higher risk of severe CAD.
Estimating heterogeneous gene regulatory networks from zero-inflated single-cell expression data

Inferring gene regulatory networks can elucidate how genes work cooperatively. The gene-gene collaboration information is often learned by Gaussian graphical models (GGM) that aim to identify whether the expression levels of any pair of genes are dependent, given other genes’ expression values. One basic assumption that guarantees the validity of GGM is data normality, and this often holds for bulk-level expression data which aggregate biological signals from a collection of cells. However, ﬁne-grained cell-level expression proﬁles collected in single-cell RNA-sequencing (scRNA-seq) reveal non-normality features—cellular heterogeneity and zero inﬂation. We propose a Bayesian latent mixture GGM to jointly estimate multiple gene regulatory networks accounting for the zero inﬂation and unknown heterogeneity of single-cell expression data. The proposed approach outperforms competing methods on synthetic data in terms of network structure and precision matrix estimation accuracy and provides biological insights when applied to two real-world scRNA-seq datasets. An R package implementing the proposed model is available on GitHub https://github.com/WgitU/BLGGM.
Sodium nitroprusside on acute cardiogenic pulmonary edema in dogs: case reports

This study reports the efficacy of the vasodilator sodium nitroprusside (SNP), for treatment of acute cardiogenic pulmonary edema in dogs. For this study, the patients were divided into the SNP only treatment group, the SNP, furosemide and dobutamine treatment group, and non-SNP treatment group. Seven dogs, 6 dogs and 2 dogs were favorable responders in SNP only group, group with SNP, furosemide and dobutamine and non-SNP treatment group, each. The results of this study suggest that SNP can be an effective alternative therapy for dogs with acute cardiogenic pulmonary edema.
Earth's Magnetosphere: Formed by the Low-Latitude Boundary Layer

The author argues that, after five decades of debate about the interactive of solar wind with the magnetosphere, it is time to get back to basics. Starting with Newton's law, this book also examines Maxwell's equations and subsidiary equations such as continuity, constitutive relations and the Lorentz transformation; Helmholtz' theorem, and Poynting's theorem, among other methods for understanding this interaction. It includes chapters on prompt particle acceleration to high energies, plasma transfer event, and the low latitude boundary layer. More than 200 figures illustrate the text. It includes a color insert.
Memory function approaches to stochastic problems in condensed matter

Theoretical Foundations Basic Description of the Rules Leading to the Adiabatic Elimination of Fast Variables Continued Fractions in the Theory of Relaxation Memory Function Methods in Solid State Physics Molecular Dynamics: Intense External Fields Non Linear Effects in Molecular Dynamics of the Liquid State Dynamical Properties of Hydrogen-Bonded Liquids Slow Motion EPR Spectra in Terms of a Generalized Langevin Equation The Theory of Chemical Reaction Rates Experimental Investigation on the Effect of Multiplicative Noise by Means of Electric Circuits Interdisciplinary Subjects: The Time Properties of a Model of Random Fluctuating Selection Stochastic Processes in Astrophysics: Stellar Formation and Galactic Evolution Author and Subject Indexes.
Aspectos básicos en la Inferencia Estadística para Cadenas de Markov en tiempo discreto

El presente artículo tiene como objetivo presentar un panorama general sobre la inferencia estadística para las cadenas de Markov en tiempo discreto, utilizando artículos y libros publicados sobre estos modelos. Los temas que en este artículo se abordan incluyen: estimación puntual y por intervalos para las probabilidades de transición y una prueba de hipótesis para el supuesto de homogeneidad en una cadena de Markov. A lo largo del artículo se presentan ejemplos tomados de la literatura, en los que se aplica el modelo de cadenas de Markov para resolver problemas de interés, y que sirven de ilustración para propósitos de este trabajo. Este trabajo espera brindar apoyo a personas interesadas en un primer contacto con las cadenas de Markov y que sirva de guía en su busqueda de información sobre el tema.
Interferometric ISAR Imaging of Space Targets Using Pulse-Level Image Registration Method

Interferometric inverse synthetic aperture radar (InISAR) imaging is capable of retrieving 3-D target information from multichannel inverse synthetic aperture radar (ISAR) images obtained by adjacent radars or antennas. The InISAR imaging of space targets is more difficult, compared with that observing short range targets with small radar systems. Considering the practical constraints when observing space targets with multiple large radars, this article establishes a flexible InISAR imaging system that allows for nonperpendicular baselines and observation of targets under squint mode. Based on this, the generalized formulas for calculating scatterers' coordinates from measured interferometric phases are derived. Moreover, a pulse-level image registration method based on joint translational motion compensation is proposed to recover the coherence between multichannel ISAR images, under the condition of inconsistent pulse delays at different radar channels. With the proposed method, promising InISAR imaging results are obtained via two simulation experiments. The first experiment assumes ideal point scattering of the target, which verifies the high accuracy and computational efficiency of the proposed ISAR image registration method; the second experiment considers more practical target scattering using facet target model and physical optics algorithm, which demonstrates the possible deviation in InISAR imaging result caused by scatterer's anisotropic scattering and residual error of translational motion compensation. We believe that the derivation and simulation results in this article would be helpful reference for practical InISAR imaging experiments.
Circular Polarized Patch Antenna Minimization for 5 GHz Applications Based on Genetics Algorithm

This paper examines the construction of a rectangular patch antenna with circular polarization and strip line feed with the goal of reducing the microstrip patch antenna’s size. With the help of a genetic algorithm, we were able to cut a rectangular slot in the corner of the patch and keep cutting it until we got the ideal design at the operating frequency (5 GHz) with a reduced size of (68.6%) based on the current distribution on the patch (GA). With the proposed design, there is a noticeable increase in bandwidth. COMSOL simulation software was used for the simulation. The first antenna design’s operating frequency is set to 6 GHz, and it is then forced to run at that frequency (5 GHz).
Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models

This area is a little more complicated than the Gaussian one, because there is no such unifying concept as the multivariate normal distribution. To begin with, there is the important distinction between marginal and random-effects models. The authors succeed in providing a good perspective on both of these, with particular emphasis on generalized estimating equations (GEEs) and generalized linear mixed models (GLMMs). Specific issues surrounding GEEs, such as the choice of a working correlation matrix, are described in a clear fashion. The discussion on the difference between correlations and odds ratios in this context is perhaps a little brief, but the most important thing is that the reader will understand how to use standard GEEs as well as alternating logistic regressions. The authors provide a good perspective on the similarities and differences between marginal and random-effects models. Chapter 13 presents a comprehensive, yet concise view of the relationships that exist between both models, while at the same time not leaving unanswered the practical question as to when to choose from which model family. In the special topics part, the missing-data chapter takes a prominent place. Even though relatively short, this chapter develops essential terminology and a perspective on what is typically done in practice, including complete-case analysis and last value carried forward (LVCF), which the authors rightly do not recommend. They then discuss the feasibility and ease of likelihood methods under the missing-at-random assumption and indicate how weighting methods work. There is a general feeling that weighting methods are complicated, and some of the finer points of the semiparametric weighting theory, including weighted GEE, happens to be technical. However, the reader will painlessly acquire a good working knowledge of this methodology from Chapter 13, even though its conciseness may imply that some further reading may be necessary. Another topic treated is design aspects. The authors also provide a clear perspective on multilevel models. There is quite a bit of confusion as to the relationship between this modeling framework, longitudinal data, and mixedeffects models, for example. Although there are strong relationships and even overlaps, there are differences as well. The authors do a good job clarifying these interrelationships. In particular, they intuitively explain how longitudinal data can be seen as a specific instance of clustered or correlated data, and how many models for longitudinal data can be formulated within the general multilevel modeling framework. The authors successfully use a very pedagogical and didactic writing style. The many case studies and illustrations are tremendously useful to enhance understanding. The inclusion of problems at the end of every chapter is very useful as well. Applied Longitudinal Analysis should be on the shelf of everyone interested in acquiring a modeler’s or practitioner’s perspective on longitudinal data analysis.
Case study of the acquisition of contactless fingerprints in a real police setting

Biometric recognition systems integrated into mobile devices have gained acceptance during recent years. Developments in fingerprint acquisition technology have resulted in touchless mobile devices that acquire high quality fingerprints. While authorities are particular interested on mobile solutions, they have databases containing fingerprint data mainly acquired using contact-based devices. Therefore, they are interested in the accuracy of cross-sensor fingerprint recognition. We present a case study of a comprehensive matching comparison on real fingerprint data acquired by national police officers. The objective of this study is: (i) to analyse the feasibility when comparing data acquired using a typical contact-based fingerprint device against data acquired using a new contactless device, and (ii) the feedback of the end user (i.e. national police officers) regarding the acquisition process. Obtained results are promising and the current prototype shows its feasibility for operational police use. The end users expressed their satisfaction with the developed prototype and they suggested extra functionalities towards a practical solution for police officers.
Equivariant class group. III. Almost principal fibrer bundles

As a formulation of 'codimension-two arguments' in invariant theory, we define a (rational) almost principal bundle. It is a principal bundle off closed subsets of codimension two or more. We discuss the behavior of the category of reflexive modules over locally Krull schemes, the category of the coherent sheaves which satisfy Serre's condition $(S'_2)$ over Noetherian $(S_2)$ schemes with dualizing complexes, the class group, the canonical module, the Frobenius pushforwards, and global $F$-regularity, of a rational almost principal bundle. We give examples of finite group schemes, multisection rings, surjectively graded rings, and determinantal rings, and give unified treatment and new proofs to known results in invariant theory, algebraic geometry, and commutative algebra, and generalize some of them. In particular, we generalize the result on the canonical module of the multisection ring of a sequence of divisors by Kurano and the author. We also give a new proof of a generalization of Thomsen's result on the Frobenius pushforwards of the structure sheaf of a toric variety.
Magic angle in electron energy loss spectra: Relativistic and dielectric corrections

Recently it has been demonstrated that a careful treatment of both longitudinal and transverse matrix elements in electron energy loss spectra can explain the mystery of relativistic effects on the {\it magic angle}. Here we show that there is an additional correction of order $(Z\alpha)^2$ where $Z$ is the atomic number and $\alpha$ the fine structure constant, which is not necessarily small for heavy elements. Moreover, we suggest that macroscopic electrodynamic effects can give further corrections which can break the sample-independence of the magic angle.