Miracle-dz/UniFAR-FTUs huggingface dataset:
SINGLE-FED LOW-PROFILE CIRCULARLY POLARIZED ANTENNA USING QUARTER-MODE SUBSTRATE INTEGRATED WAVEGUIDE WITH ENHANCED BANDWIDTH

A single-fed compact circularly polarized quarter-mode substrate integrated waveguide (QMSIW) antenna with improved bandwidth is designed based on a single-layer structure. The antenna consists of four QMSIW elements. Instead of using a complex power divider to excite each element, an inset microstrip line is employed to excite the driven QMSIW element, while the parasitic QMSIW elements are excited by means of gap and direct couplings. Moreover, the phase and magnitude of the electromagnetic fields in each QMSIW element are controlled by gaps and short sections of microstrip line to obtain a circularly polarized radiation. A prototype of the proposed antenna is fabricated and measured, and the measured results are in good agreement with the simulated ones. The measured 10-dB impedance bandwidth is 6.23%, from 5.13 GHz to 5.46 GHz, and the 3-dB axial-ratio bandwidth is 3.62%, from 5.15 GHz to 5.34 GHz. The measured maximum gain of the antenna is 6.46 dBic.
Validation of the wave based technique for the analysis of 2D steady-state acoustic radiation problems

At present, the most commonly used prediction techniques for the analysis of noise radiation and scattering problems are based on a discretization of the problem domain or its boundary into a number of small elements. Due to the polynomial nature of the shape functions applied by these methods to approximate the dynamic response variables, a sufficiently high number of elements is required in order to obtain reasonable prediction accuracy. As a result, model sizes increase with increasing frequency, which restricts the use of these element based methods to low-frequency applications. A recently developed Wave Based prediction Technique (WBT), which is based on an indirect Trefftz approach, has shown an increased computational efficiency, as compared to the element based methods, for the analysis of interior acoustic problems. This paper discusses the application of the WBT for the analysis of 2D exterior acoustic problems and demonstrates its accuracy by means of the 2D radiation analysis of a car-like cavity with an open boundary.
Adaptive Fuzzy Sliding Mode Controller for Grid Interface Ocean Wave Energy Conversion

This paper presents a closed-loop vector control structure based on adaptive Fuzzy Logic Sliding Mode Controller (FL-SMC) for a grid-connected Wave Energy Conversion System (WECS) driven Self-Excited Induction Generator (SEIG). The aim of the developed control method is to automatically tune and optimize the scaling factors and the membership functions of the Fuzzy Logic Controllers (FLC) using Multi-Objective Genetic Algorithms (MOGA) and Multi-Objective Particle Swarm Optimization (MOPSO). Two Pulse Width Modulated voltage source PWM converters with a carrier-based Sinusoidal PWM modulation for both Generator- and Grid-side converters have been connected back to back between the generator terminals and utility grid via common DC link. The indirect vector control scheme is implemented to maintain balance between generated power and power supplied to the grid and maintain the terminal voltage of the generator and the DC bus voltage constant for variable rotor speed and load. Simulation study has been carried out using the MATLAB/Simulink environment to verify the robustness of the power electronics converters and the effectiveness of proposed control method under steady state and transient conditions and also machine parameters mismatches. The proposed control scheme has improved the voltage regulation and the transient performance of the wave energy scheme over a wide range of operating conditions.
Multiple positive solutions for singular -point boundary-value problems with nonlinearities depending on the derivative.

Using the fixed point theorem in cones, this paper shows the existence of multiple positive solutions for the singular m-point boundary-value problem x′′(t) + a(t)f(t, x(t), x′(t)) = 0, 0 < t < 1, x′(0) = 0, x(1) = m−2 X i=1 aix(ξi), where 0 < ξ1 < ξ2 < · · · < ξm−2 < 1, ai ∈ [0, 1), i = 1, 2, . , m − 2, with 0 < Pm−2 i=1 ai < 1 and f maybe singular at x = 0 and x ′ = 0.
Covariation of Finite-Amplitude Wave Activity and the Zonal-Mean Flow in the Midlatitude Troposphere. Part II: Eddy Forcing Spectra and the Periodic Behavior in the Southern Hemisphere Summer

AbstractPreviously, in Part I of this study, the authors used latitude-by-latitude budgets of the vertically integrated finite-amplitude wave activity (FAWA) to describe the covariation of the zonal-mean state and eddy amplitude. In the austral summer within 40°–55°S, FAWA exhibits a marked 20–30-day periodicity driven mainly by the low-level meridional eddy heat flux, consistent with the recently identified baroclinic annular mode (BAM). The present article examines the spectra of eddy heat flux that produce the periodic behavior in the Southern Hemisphere storm track. Analysis of the ERA-Interim product reveals that the 20–30-day periodicity in raw FAWA and eddy heat flux is particularly robust during the warm season. A dry GCM is shown to reproduce qualitatively BAM-like eddy heat flux spectra if the zonal-mean state resembles that of the austral summer and if the surface thermal damping is sufficiently strong. The observed eddy heat flux cospectra in summer contain a few dominant frequencies for each o.
PROCESSING OF INTERSTELLAR MEDIUM AS DIVULGED BY AKARI

A wide spectral coverage from near-infrared (NIR) to far-infrared (FIR) of AKARI both for imaging and spectroscopy enables us to eﬃciently study the emission from gas and dust in the interstellar medium (ISM). In particular, the Infrared Camera (IRC) onboard AKARI oﬀers a unique opportunity to carry out sensitive spectroscopy in the NIR (2–5 µ m) for the ﬁrst time from a spaceborn telescope. This spectral range contains a number of important dust bands and gas lines, such as the aromatic and aliphatic emission bands at 3.3 and 3.4–3.5 µ m, H 2 O and CO 2 ices at 3.0 and 4.3 µ m, CO, H 2 , and H I gas emission lines. In this paper we concentrate on the aromatic and aliphatic emission and ice absorption features. The balance between dust supply and destruction suggests signiﬁcant dust processing taking place as well as dust formation in the ISM. Detailed analysis of the aromatic and aliphatic bands of AKARI observations for a number of H ii regions and H ii region-like objects suggests processing of carbonaceous dust in the ISM. The ice formation process can also be studied with IRC NIR spectroscopy eﬃciently. In this review, dust processing in the ISM divulged by recent analysis of AKARI data is discussed.
The Effectiveness of Mindfulness-Based Stress Reduction Treatment on Depression and Optimism among Women with Breast Cancer during Chemotherapy

Background: A breast cancer diagnosis can be a disturbing and stressful time for women. This study aimed to determine the effectiveness of mindfulness-based stress reduction treatment depression and optimism during chemotherapy among women with breast cancer. Methods: This study was a quasi-experimental one with a group of pre-test, post-test, and controls. In this study, 26 women with breast cancer detection were identified from the referring patients to the Imam Hossein Hospital's oncology and radiotherapy division in Tehran, 2019-2020. Using the method of convenience sampling, the experimental (n=13) and control groups (n=13) were randomly allocated. The study group regularly engaged in mindfulness sessions for 8 weeks (each session lasting 90-120 minutes). In the BDI-II Beck Depression Inventory-II and happiness questionnaires, customers/clients in both the experimental and control groups completed. Data were analyzed by using a univariate covariance test in SPSS 23 software. Results: According to the findings, there was a significant difference in depression and optimism among breast cancer patients, (Pvalue<0.05). Also, the mean overall depression score for women with breast cancer in the therapy session was considerably lower than the pre-test score, although optimism was significantly higher than the pre-test score (Pvalue<0.05). Conclusion: The results of this study support the use of MBSR to minimize symptom burden in women with breast cancer. As a result, the effectiveness of MBSR in reducing depression symptoms and improving confidence has been approved. Keywords: Mindfulness, Depression, Optimism, Women with breast cancer, Chemotherapy
Defect-induced instability mechanisms of sputtered amorphous indium tin zinc oxide thin-film transistors

We report the device performance and stability of sputtered amorphous indium-tin-zinc-oxide (ITZO) thin-film transistors as a function of oxygen ratio [O2/(Ar + O2)] during growth. Increasing the oxygen ratio enhanced the incorporation of oxygen during ITZO film growth and reduced the concentration of deep-level defects associated with oxygen vacancies. Under illumination with no bias stress, device stability and persistent photocurrent were improved with increased oxygen ratio. Bias stress tests of the devices were also performed with and without illumination. While high oxygen ratio growth conditions resulted in decreased deep-level oxygen vacancies in the ITZO material, the same conditions resulted in degradation of the interfacial layer between the ITZO channel and dielectric due to the migration of energetic oxygen ions to the interface. Therefore, when bias stress was applied, increased carrier trap density at the interface led to a decrease in device stability that offsets any improvement in the ma.
Statistical modelling of time series of counts for a new class of mixture distributions / Khoo Wooi Chen

Integer-valued correlated stochastic processes, which we often meet in the real world, are of major concern in many natural and social sciences. The classical continuous time series models which contain scalar multiaplication are not able to represent count data since the integer nature of the data is not preserved. Therefore, the formulations of discrete-valued time series models for count data are apparently of significance. Much effort has been expended in the past few decades to construct discrete-valued time series models. Nevertheless, the hunt for better models is still ongoing due to the need to improve or sharpen the statistical analysis. This thesis proposes a new mixture model, the mixture of Pegram and thinning integer-valued autoregressive (MPT) processes, which is the combination of current discrete-valued time series operators. The statistical and regression properties, parameter estimation, forecasting, and graphical analysis for the new model have been examined. Model selection based upon the Akaike Information Criterion has been performed. Extensions to the moving average (MA) and autoregressive moving average (ARMA) models have also been considered. Important properties such as reversibility and regression are then discussed. The extension to the qth-order MPT process has also been investigated in the study. Previous studies have emphasized the Poisson sequence as it is an infinitely divisible distribution. In this thesis, it is shown that proposed model is able to deal with infinitely and non-infinitely divisible distributions with simpler expressions. Furthermore, the proposed MPT model is able to handle multimodality and has better performance than the current discretevalued time series models. The available forecasting method based on the conditional expectation may not be appropriate for integer-valued time series models. Thus coherent forecasting, which is based upon the k-step ahead conditional mean, median, mode and distribution, is considered. For low count series the k-step ahead conditional distribution of the MPT model practically exhibits better performance than the other models. The iv score functions and information matrix have been derived to measure the asymptotic standard errors and to analyze the variance-covariance relationship among the parameters. Parameter estimation with the maximum likelihood estimation via the Expectation-Maximization algorithm is discussed and compared with the conditional least squares method. Finally, some real life data sets from different disciplines have been applied to illustrate the analyses. The thesis is concluded with some recommendations for future work.
Talbot effect for gratings with diagonal symmetry

We show that the phenomenon of self-imaging of infinite periodic gratings, known as the Talbot effect, is related not only to the dimensions of an elementary cell of the grating but is also closely connected with its structure. This is demonstrated in a particular class of gratings for which the self-imaging distance differs from the Talbot length as it is usually defined. This phenomenon can be explained by a destructive interference of several fractional Talbot images at the self-imaging distance.
Long Non-Coding RNA CASC19 Sponges microRNA-532 and Promotes Oncogenicity of Clear Cell Renal Cell Carcinoma by Increasing ETS1 Expression

Purpose: The long non-coding RNA cancer susceptibility 19 ( CASC19 ) is recognized as an important regulator in gastric cancer, colorectal cancer, and non-small cell lung cancer. Nevertheless, to the best of our knowledge, the expression status and detailed roles of CASC19 in clear cell renal cell carcinoma (ccRCC) have not been elucidated. Hence, we aimed to determine CASC19 expression in ccRCC and investigate its roles in ccRCC oncogenicity. The molecular mechanisms underlying CASC19 functions in ccRCC were also determined. Methods: CASC19 expression was measured by using reverse transcription-quantitative polymerase chain reaction. The effects of CASC19 on ccRCC cell proliferation, colony formation, migration, and invasiveness in vitro, as well as on tumor growth in vivo, were examined by the MTT assay, colony formation assay, cell migration and invasiveness assays, and tumor xenograft in nude nice, respectively. Results: CASC19 was overexpressed in ccRCC tissues and cell lines. High expression of CASC19 was closely associated with unfavorable clinicopathological parameters and predicted negative clinical outcomes in patients with ccRCC. Knockdown of CASC19 decreased ccRCC cell proliferation, colony formation, migration, and invasiveness, as well as attenuated tumor growth in vivo. Mechanistically, CASC19 functioned as a competing endogenous RNA and upregulated the expression of ETS proto-oncogene 1 (ETS1) through sponging microRNA-532 (miR-532). Furthermore, rescue assays revealed that inhibiting miR-532 or restoring ETS1 expression partially abolished the impacts of CASC19 knockdown on ccRCC cells. Conclusion: The CASC19/miR-532/ETS1 regulatory pathway is crucial for the malignant manifestations of ccRCC, which makes it an attractive target for potential treatments of ccRCC.
Intratumoral heterogeneity and clonal evolution induced by HPV integration 1

49 The human papillomavirus (HPV) genome is integrated into host DNA in most HPV-positive 50 cancers, but the consequences for chromosomal integrity are unknown. Continuous long-read 51 sequencing of oropharyngeal cancers and cancer cell lines identified a previously undescribed 52 form of structural variation, “heterocateny,” characterized by diverse, interrelated, and repetitive 53 patterns of concatemerized virus and host DNA segments within a cancer. Unique breakpoints 54 shared across structural variants facilitated stepwise reconstruction of their evolution from a 55 common molecular ancestor. This analysis revealed that virus and virus-host concatemers are 56 unstable and, upon insertion into and excision from chromosomes, facilitate capture, 57 amplification, and recombination of host DNA and chromosomal rearrangements. Evidence of 58 heterocateny was detected in extrachromosomal and intrachromosomal DNA. These findings 59 indicate that heterocateny is driven by the dynamic, aberrant replication and recombination of 60 an oncogenic DNA virus, thereby extending known consequences of HPV integration to include 61 promotion of intratumoral heterogeneity and clonal evolution.
Affine Torsion à la Cartan

After reviewing Cartan's first presentation of affine torsion, we use differential forms and moving frames to approach in flat spaces the concept of torsion and equations of structure. These constitute the integrability conditions for the connection equations. The integration obviously yields the affine elementary (or Klein) geometry from which we start, namely the pair of affine group and its largest linear subgroup. Generalized (i.e. non-holonomic) affine spaces are then defined through the breaking of those conditions, which we consider in the bundle of frames, rather than in sections thereof. We also show Y. H. Clifton's definitions of affine connection and equations of structure, which allow for the development of differential geometry without the modern distortion of Cartan's original concepts. New avenues for torsion research and applications are then considered.
Experience-dependent information routing through the basolateral amygdala

The basolateral amygdala (BLA) is an emotional processing hub and is well-established to influence both positive and negative valence processing. Selective engagement of a heterogeneous cell population in the BLA is thought to contribute to this flexibility in valence processing. However, how this process is impacted by previous experiences which influence valence processing is unknown. Here we demonstrate that previous positive (EE) or negative (chronic unpredictable stress) experiences differentially influence the activity of specific populations of BLA principal neurons projecting to either the nucleus accumbens core or bed nucleus of the stria terminalis. Using chemogenetic manipulation of these projection-specific neurons we can mimic or occlude the effects of chronic unpredictable stress or enriched environment on valence processing to bidirectionally control avoidance behaviors and stress-induced helplessness. These data demonstrate that previous experiences influence the responsiveness of projection-specific BLA principal neurons, biasing information routing through the BLA, to govern valence processing.
The importance of DNA sequence for nucleosome positioning in transcriptional regulation

Nucleosome positioning is a key factor for transcriptional regulation. Nucleosomes regulate the dynamic accessibility of chromatin and interact with the transcription machinery at every stage. Influences to steer nucleosome positioning are diverse, and the according importance of the DNA sequence in contrast to active chromatin remodeling has been subject of long discussion. In this study, we evaluate the functional role of DNA sequence for all major elements along the process of transcription. We developed a random forest classifier based on local DNA structure that assesses the sequence-intrinsic support for nucleosome positioning. On this basis, we created a simple data resource that we applied genome-wide to the human genome. In our comprehensive analysis, we found a special role of DNA in mediating the competition of nucleosomes with cis-regulatory elements, in enabling steady transcription, for positioning of stable nucleosomes in exons and for repelling nucleosomes during transcription termination. In contrast, we relate these findings to concurrent processes that generate strongly positioned nucleosomes in vivo that are not mediated by sequence, such as energy-dependent remodeling of chromatin. GRAPHICAL ABSTRACT
Stochastic integration with respect to cylindrical Lévy processes in Hilbert spaces: An L2 approach

In this work stochastic integration with respect to cylindrical Levy processes with weak second moments is introduced. It is well known that a deterministic Hilbert–Schmidt operator radonifies a cylindrical random variable, i.e. it maps a cylindrical random variable to a classical Hilbert space valued random variable. Our approach is based on a generalisation of this result to the radonification of the cylindrical increments of a cylindrical Levy process by random Hilbert–Schmidt operators. This generalisation enables us to introduce a Hilbert space valued random variable as the stochastic integral of a predictable stochastic process with respect to a cylindrical Levy process. We finish this work by deriving an Ito isometry and by considering shortly stochastic partial differential equations driven by cylindrical Levy processes.
Elliptic Curve Cryptography (ECC) Nothing Up My Sleeve (NUMS) Curves and Curve Generation

This memo describes a family of deterministically generated Nothing Up My Sleeve (NUMS) elliptic curves over prime fields offering high practical security in cryptographic applications, including Transport Layer Security (TLS) and X.509 certificates. The domain parameters are defined for both classical Weierstrass curves, for compatibility with existing applications, and modern twisted Edwards curves, allowing further efficiency improvements for a given security level.
Effectiveness of Globalization and Human Capital on Market & Net Income Inequality in NEXT11 Countries: A Panel Data Analysis

This study scrutinizes the impact of defacto and dejure GLOB (KOF GLOB index 2018) on Income inequality on economically emerging countries; NEXT11 countries. The defacto GLOB indicates the estimate of GLOB including variables representing activities and flows; de jure estimate includes variables which show policies representing enable flows and activities. Our analysis separates the impact of globalization on net and market income inequalities. Pretax/transfer and the post-tax/transfer GINI indices were employed as the measures of income inequality. This analysis used balanced panel for NEXT11 countries for the period 1990-2015. Economic globalization both defacto and dejure showed positive sign that depicts a significant relationship with dependent variable. It explains that defacto political has positive sign and dejure political globalization decreases inequality while economic globalizations in both divisions have positive sign and significant impact on inequality. Interestingly, defacto social globalization has positive sign but dejure social has positive sign. Moreover, the purchasing power parity and age dependency both have negative sign and significant influence on inequality. These conclusions point out that social and political globalization may be a hindering factor for governance in these countries.
Discrete-type Approximations for Non-Markovian Optimal Stopping Problems: Part II

In this paper, we present a Longstaff-Schwartz-type algorithm for optimal stopping time problems based on the Brownian motion filtration. The algorithm is based on Leão et al. (? 2019) and, in contrast to previous works, our methodology applies to optimal stopping problems for fully non-Markovian and non-semimartingale state processes such as functionals of path-dependent stochastic differential equations and fractional Brownian motions. Based on statistical learning theory techniques, we provide overall error estimates in terms of concrete approximation architecture spaces with finite Vapnik-Chervonenkis dimension. Analytical properties of continuation values for path-dependent SDEs and concrete linear architecture approximating spaces are also discussed.