Miracle-dz/UniFAR-FTUs huggingface dataset:
Sexual and Gender Minority College Student Retention: The Unique Effects of Mental Health and Campus Environment on the Potential for Dropout

Background: While limited data has been collected, some findings show that sexual and gender minority (SGM) students are at higher risk for dropping out of college than their peers. Research on issues such as campus connectedness and mental health among this population indicates both may affect retention. Aim: This study examined how mental health and perceptions of campus connectedness may mediate the relationship between SGM identification and intentions to drop out of college. Methods: Survey data collected from 1,793 randomly selected students across eight different public universities in Mississippi were used to conduct a parallel mediation analysis. Results: Mediation analyses indicated that there was a significant direct effect of SGM identity on intentions to drop out, and that both mediators had a significant indirect effect. Psychiatric symptoms had a relatively larger indirect effect than campus connectedness. Conclusions: These results contribute to the limited quantitative literature on SGM student retention, supporting previous work indicating these students are at higher risk of attrition. The results suggest that student retention may be bolstered if access to SGM-competent mental health services is provided. Additionally, campuses should continue to support SGM-friendly policies and create inclusive spaces as a protective resource for students.
Loading Factor Estimation Under Affine Constraints on the Covariance Eigenvalues With Application to Radar Target Detection

Maximum likelihood (ML) estimation of the loading factor under affine constraints on the covariance eigenvalues is addressed. Several situations of practical interest for radar are considered, and the corresponding ML solutions to the loading factor estimation problem are derived in closed form. Furthermore, it is shown that the constrained ML problem, the constrained geometric approach, and the constrained problem of mean square error minimization (with respect to the loading factor) all lead to the same solution. At the analysis stage, the effectiveness of the resulting covariance estimators is evaluated in terms of both the signal-to-interference-plus-noise ratio and the receiving beampattern shape and compared with that of other covariance estimation methods available in the literature. Finally, a receiving architecture based on the adaptive matched filter that exploits the new loaded covariance estimators is also considered to assess the benefits of the new strategies in terms of detection probability.
Revisiting Toroidal Dipolar Moment in Planar Metamaterial

This article revisits the electric, magnetic, and toroidal dipolar moments in the metamaterial structure and presents the flatland design for generating a toroidal dipolar response for the electromagnetic plane wave at normal incidence. Based on the numerical analysis of the surface current, the electric field, the magnetic field, and the quantitative analysis of scattered power supported by the electromagnetic multipole theory, it is shown that the earlier design involving symmetric unit cells is not able to produce toroidal dipolar moment. This study resulted in a new design of a planar metasurface, which provides a toroidal response as the dominant mode when excited by the transverse magnetic (TM)-polarized electromagnetic wave. The scattered power calculated for the proposed toroidal flatland metamaterial is found to be <inline-formula> <tex-math notation="LaTeX">$1.7\times 10^{5}$ </tex-math></inline-formula> times larger than the earlier design under investigation. The scattered power due to the toroidal dipole in the proposed design is found to be at least 70 times and <inline-formula> <tex-math notation="LaTeX">$8\times 10^{8}$ </tex-math></inline-formula> times larger than the electric dipole and the magnetic dipole, respectively, in the <inline-formula> <tex-math notation="LaTeX">$z$ </tex-math></inline-formula>-direction.
BLIND WAVE SEPARATION BY SPATIAL OVERSAMPLING

This paper is a contribution to the problem of the separation of propagating source signals recorded simultaneously by a s e t of receivers. We propose to use a small-sized sensor array so that the waves are spatially oversampled. Sensors are assumed to be directional, to have the same complex frequency response and to be diierently oriented in space. Under these assumptions, sources are received on each sensor with diierent attenuations and with diierent time delays. When the dimensions of the array are chosen so that time delays are small in comparison with the coherence time of each source, we s h o w that the array outputs can be approximated to a particular model of instantaneous mixtures involving the sources and their rst derivative with respect to time. Because sources are statistically dependent to their rst derivative, this problem does not appear as a classical Blind Source Separation (BSS) problem. We present then a matched second-order blind identiication algorithm in order to estimate this particular mixing system. The validity of the proposed model and of our algorithm is connrmed by computer simulations in the case of audio sources. 1. GENERAL MODEL It is assumed that a set of N independent colored signals x 1 (t) : : : x N (t) are propagating in an echo-free environment. These signals are recorded on M sensors without any additive noise (presence of noise will be treated in the full paper). The observation satisfy the equation model below: y 1 (t) = x 1 (t) + x 2 (t) + : : : + x N (t) y i (t) = j=N X j=1 c iij x j (t ; iij) i = 2 : : : M (1) where iij and c iij represent respectively the relative delay and the relative amplitude of source x j (t) observed on the i th sensor versus the rst observation y 1 (t). We'll show in the full paper that in case of a compact sensor array, delays are suuciently small when: 2 iij << 1 2 2 2 M 8ii jj where M is the maximum frequency present in the observations. In this case, an approximation for the observations y i (t) (i = 2 : : : M) using an order one Taylor expansion can be considered: y i (t) c ii1 x 1 (t) ; c ii1 ii1 dx 1 (t) dt + c ii2 x 2 (t) ; c ii2 ii2 dx 2 (t) dt + : : : + c iiN x N (t) ; c iiN iiN dx N (t) dt : (2) Let consider the observation vector y(t) = y 1 (t) y 2 (t) : : : y N (t)] T. Using approximation (2) in (1), the set of equations (1) can be rewritten as: y(t) M 1 x(t) + M 2 _ x(t): where,
Adaptive Fault Detection and Isolation for Active Suspension Systems With Model Uncertainties

Suspension operation reliability is one of the most significant performance indexes that concerns maneuvering stability and drive safety. In this paper, in order to guarantee good suspension reliability, an adaptive fault detection and isolation scheme is proposed for quarter-car active suspension systems with parametric and nonlinear uncertainties. To realize fault diagnosis for active suspensions, an adaptive fault detection estimator and several fault isolation estimators are designed to generate state residuals. Corresponding adaptive thresholds are developed to help judge the occurrence and type of possible faults. In the process of constructing state estimators, the uncertain parameter is updated online so that good sensitivity of fault detection can be achieved. Illustrative simulation is carried out to validate the effectiveness of the fault diagnosis scheme, and results indicate that the proposed method is sensible to sudden faults and maintain robustness to model uncertainties appearing in suspension systems.
SOME COMMON FIXED POINT THEOREMS IN FUZZY METRIC SPACES FOR MAPPINGS WITHOUT OWC

R ecently most of the results on fixed point theorems in fuzzy metric spaces deal either with occasionally weakly compatible (OWC) introduced by Al-Thagafi and Shahzad [3] or E.A. property introduced by Aamir and Moutawakil [1] and by Pant and Pant [7]. Our objective is to prove some common fixed point theorems by removing the occasionally weakly compatibility and semi weakly compatibility of mappings by using CLR property in Fuzzy metric space in the light of results of Bisht and Pant[4] and Sintunavarat and Kumam [10] which generalizes the result of Gupta, Deep and Tripathi [ 5 ].
Hyperspectral holographic microscopy of bio-objects based on a modified Linnik interferometer

We present a modified Linnik microinterferometer that can register image-plane hyperspectral holograms in reflection of various microobjects in incoherent light. A voice coil was integrated into the reference arm of the interferometer to enable mirror displacement. A set of interferograms is registered in each pixel of a high-speed CMOS camera. Post processing yields spectrally resolved image-plane holograms of the object. Quantitative phase images of red blood cells are obtained for each spectral component .
Digital Storytelling of Two “Underperforming” and “Misbehaving” Boys of Color in a 2nd-Grade Classroom

ABSTRACT Disparities in school discipline data indicate that children of color, particularly boys, receive more frequent and harsher disciplinary actions than their white peers, and this begins in early schooling. Within today’s print-centered, bodily restricted school curricula, literacy instruction is often reduced to highly controlled, leveled readers and narrowly tailored writing tasks. Drawing on data from a qualitative study, we present the literary counter-stories of two boys of color in an urban 2nd-grade classroom, both from low-income, single-parent families, each being initially reported as “low performing” and having “misbehavior issues” prior to 2nd grade. Framed by the critical theoretical perspectives of critical race theory, intersectionality, and raciolinguistics, the study investigates digital literacies, multimodality, and identity performances embedded in two juxtaposed cases. The findings address the significance of cultivating boys of color as artistic individuals and providing meaningful, multimodal “writing” opportunities to promote creativity, inclusivity, and educational equity.
A Comparative Performance Analysis of Wireless Power Transfer with Parametric Simulation Approach

This paper presents a parametric optimization and normalization approach for coreless Resonant Inductive Coupling Wireless Power Transfer (RIC-WPT) systems. The used system is based on a series–series (SS) compensated circuit via flat spiral coils. Moreover, the recommended approach system finds optimum capacitor values for the best efficiency point where the RIC-WPT system operates. Flat spiral three-dimensional (3D) coils are modelled and parametric analysed with different air gaps in ANSYS-Electronics-Maxwell software which is based on the Finite Element Method (FEM). Then power electronics circuit with a full-bridge inverter is designed in Ansys/Simplorer software. The coils and the power electronics circuit are co-simulated with parametric values. Thus, as a result of parametric simulation studies, the most efficient version of a Wireless Power Transfer (WPT) system structure is proposed with the design and normalized power electronics elements that can be physically applied for the chosen operating frequency value. As a result of the simulation studies, power transmission is realized with an efficiency of approximately 74.31% while the distance between the coils was 200 mm. Furthermore, useful information for WPT designs is been obtained thanks to co-simulation studies by changing power electronics circuit parameters and electromagnetic modelling parameters.
3D scar segmentation from LGE-MRI using a continuous max-flow method

Myocardial scar, a non-viable tissue which forms in the myocardium due to insufficient blood supply to the heart muscle, is one of the leading causes of life-threatening heart disorders, including arrhythmias. Accurate reconstruction of myocardial scar geometry is important for diagnosis and clinicial prognosis of the patients with ischemic cardiomyopathy. The 3D late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) is increasingly being investigated for assessing myocardial tissue viability. For applications, such as computational modeling of cardiac electrophysiology aimed at stratifying patient risk for post-infarction arrhythmias, segmentation and reconstruction of the intact geometry of scar is required. However, manual analysis and segmentation of myocardial scar from 3D LGE-MRI is a tedious task. Therefore, semi-automated and fully-automated segmentation algorithms are highly desirable in a clinical setting. In this study, we developed an approach to segment the myocardial scar from 3D LGE-MR images using a continuous max-flow (CMF) method. The data term comprised of a distribution matching term for scar and normal myocardium and a boundary smoothness term for the scar boundaries. The region-of-interest for the scar segmentation is constrained, using manually segmented myocardium. We evaluated our CMF method for accuracy by comparing it to manual scar delineations using 3D LGE-MR images of 34 patients. We compare the results of the CMF technique to ones by conventional full-width-at-half-maximum (FWHM) and signal-threshold-to-reference-mean (STRM) methods. The CMF method yielded a Dice similarity coefficient (DSC) of 72±18% and an absolute volume error (|V E|) of 15.42±14.1 cm3. Overall, the CMF method outperformed the state-of-the-art methods for all reported metrics in 3D scar segmentation except for the recall value which STRM 2-SD performed better than CMF on average.
Mode loss spectra in THz quantum-cascade lasers with gold- and silver-based double metal waveguides

Spectra of the waveguide loss coefficient for THz radiation of a quantum-cascade laser with a gold- and silver-based double metal waveguide (DMW) are calculated based on the measurements of resistivity of the metals for different temperatures. It is shown that, taking into account the absorption of THz radiation by free carriers and optical phonons, the spectrum of total mode losses has a broad minimum in the range of 3 – 6 THz, which shifts to higher frequencies with increasing temperature. The minimum losses in the Au-based waveguide increase from 8 to 27 cm–1 as temperature increases from 100 to 300 K. The use of an Ag-based DMW makes it possible to decrease the losses by 2 – 4 cm–1 compared to the Au-based DMW. The bibliography includes 21 references.
Assessment of Phytochemicals, Antioxidant and Antimicrobial Activities of Aqueous Ethanol Extract and Fractions of Azadirachta indica Stem Bark

In this study, the aqueous ethanol extract of Azadirachta indica stem bark was obtained by Soxhlet extraction and partitioned into different solvents. The extract and fractions were then assessed for their phytochemical contents, antioxidant, and antimicrobial activities. The results showed that saponins, flavonoids, phenol, and tannins were present in all the samples. Also, the ethanol extract had the highest flavonoid (281.15 mgQE/g), phenolic (714.82 mgGAE/g), and tannin (156.54 mgTAE/g) contents, as well as the highest DPPH scavenging activity (95.71%) and total reducing power (1.27). However, among the fractions, butanol fraction showed the highest contents of flavonoids (235.20 mgQE/g), phenolics (413.42 mgGAE/g) and the highest DPPH scavenging activity (93.87 %) while the highest tannin content (86.90 mgTAE/g) and total reducing power (1.06) was observed in the ethyl acetate fraction. The lowest concentration of flavonoid (34.60 mgQE/g) and lowest antioxidant activity was obtained for the hexane fraction while lowest contents of phenolics (102.32 mgGAE/g) and tannins (41.21 mgTAE/g) were both observed in the water-soluble fraction. The most active fraction against both Staphylococcus aureus and Enterobacter cloacae was ethyl acetate. Meanwhile, the ethanol extract, hexane fraction, and water-soluble fractions showed the highest activity against Candida albicans, Salmonella typhi, and Escherichia coli, respectively. This research reveals that the stem bark of Azadirachta indica contains notable antioxidant and antimicrobial properties, making it a promising source for developing potent therapeutic drugs and functional foods.
CERN : Short Theory of Special Relativity and Invariant Formulation of Electrodynamics

The basic concepts of special relativity are presented in this paper. Consequences for the design and operation of particle accelerators are discussed, along with applications. Although all branches of physics must fulﬁl the principles of special relativity, the focus of this paper is the application to electro-magnetism. The formulation of physics laws in the form of four-vectors allows a fully invariant formulation of electromagnetic theory and a reformulation of Maxwell’s equations. This signiﬁcantly simpliﬁes the treatment of moving charges in electromagnetic ﬁelds and can explain some open questions.
Word Formation on Social Media

The word is the smallest part in language that can be spoken or written which is the embodiment of thoughts used in language. There are several processes in the formation of words and are divided into several types in their formation). The research aims to analyze word-formation processes on social media. This research used a qualitative method that expanded the research by observing events and phenomena happening around us. This research also collects data by observing the incident that happens across social media in general. Analysis carried out based on materials related to semantic theory. The results obtained from this research are that there are several examples of each word formation process, two examples for borrowing, two examples for coinage, two examples for compounding, two examples for acronyms, one example for blending, two examples for clipping, and no examples for back formation were found and conversion too, as well as two examples for inflection and two examples for derivation.
Tunable laser diode using selectively intermixed InGaAsP multiple quantum wells

Abstract. We demonstrate a tunable laser consisting of two gain sections with different bandgap energies using selective intermixing of InGaAsP multiple quantum wells. The selectivity in the intermixing process is achieved using different capping films during a high-temperature rapid annealing process. The region that was capped by a SiOyNx film had its bandgap energy blueshifted to 1530 nm while the region that was capped by a SiNx film had its bandgap energy unchanged at 1560 nm. Wavelength tuning is achieved by injecting current separately into the two gain sections. When the currents injected into the two sections are varied, the combination of the gain spectra leads to a laser wavelength in the overall effective gain whose peak position depends on the magnitudes of the two injected currents. The fabricated device was capable of producing laser emission that was tunable from 1538 to 1578 nm with almost constant output power from 1544 to 1566 nm.
Millman’s Formula in Data Fusion

—This paper deals with quantitative data fusion for linear stochastic dynamic systems. The stress is laid on the Millman’s formula which is utilised for combining state estimates that are based on different data sets. Various ﬁltering and smoothing problems are introduced and solved by using the same fusion principle. The optimal centralised multisensor ﬁltering is compared with other ﬁltering architectures by means of a numerical example.
Manipulation of the multiple bound states in the continuum and slow light effect in the all-dielectric metasurface

All-dielectric metasurface with ultra-high quality resonances underpinned by bound states in the continuum (BICs) have attracted lots of attention in recent years for they enable new methods of wavefront control and light focusing. We study a metasurface composed of one transverse nanohole (TNs) and two identical vertical nanoholes (VNs) in one lattice, which supports both symmetry-protected and accidental BICs (at-Γ and off-Γ BICs). Based on the destructive interference between the surface states from the TN element and the identical VNs element, two at-Γ BICs emerge, and they turn into quasi-BICs by rotating the electric field polarization direction of the incident plane wave from x to y. The off-Γ BICs come from destructive interference from different radiation channels, which are influenced by the in-plane structural parameters symmetry insignificantly. Two at-Γ BICs and one off-Γ BIC of the metasurface all have ultra-high Q-factors (exceeding 106, 104, and 106, respectively), which means much in the application of biosensors. Especially, this nanostructure has outstanding ultra-slow light properties at BICs, with a group index about 106, which underpin a new generation of flat-optics slow light devices.
Design and development of a polarization modulator unit based on a continuous rotating half-wave plate for LiteBIRD

We present our design and development of a polarization modulator unit (PMU) for LiteBIRD space mission. LiteBIRD is a next generation cosmic microwave background (CMB) polarization satellite to measure the primordial B-mode. The science goal of LiteBIRD is to measure the tensor-to-scalar ratio with the sensitivity of δr < 10-3. The baseline design of LiteBIRD is to employ the PMU based on a continuous rotating half-wave plate (HWP) at a telescope aperture with a diameter of 400 mm. It is an essential for LiteBIRD to achieve the science goal because it significantly reduces detector noise and systematic uncertainties. The LiteBIRD PMU consists of a multi-layered sapphire as a broadband achromatic HWP and a mechanism to continuously rotate it at 88 rpm. The whole system is maintained at below 10K to minimize the thermal emission from the HWP. In this paper, we discuss the current development status of the broadband achromatic HWP and the cryogenic rotation mechanism.
Inventory and Production Dynamics in a Discrete-Time Vendor-Managed Inventory Supply Chain System

This paper presents some analytical results on production and order dynamics in the context of a discrete-time VMI supply chain system composed of one retailer and one manufacturer. We firstly derive the lower bound and upper bound on the range of inventory fluctuations for the retailer under unknown demand. We prove that the production fluctuations can be interestingly smoothed and stabilized independent of the delivery frequency of the manufacturer used to satisfy the retailer’s demand, even if the retailer subsystem is unstable. The sufficient and necessary stability condition for the whole supply chain system is obtained. To further explore the production fluctuation problem, the bullwhip effect under unknown demand is explored based on a transfer function model with the purpose of disclosing the influences of parameters on production fluctuations. Finally, simulation experiments are used to validate the theoretical results with respect to inventory and production fluctuations.