Miracle-dz/UniFAR-FTUs huggingface dataset:
Dark triad and cyber aggression among Chinese adolescents during COVID-19: A moderated mediation model

During the COVID-19 pandemic, the use of online learning has become a necessary choice for students, and would increase the probability of cyber aggression (CA). Despite the relationship between Dark Triad and CA previous was explored in previous research, the underlying psychological mechanism of CA in adolescents is still unclear. The current study aimed to examine the mediating role of moral disengagement (MD) and the moderating of gender in the relationship between Dark Triad and CA. A sample consists of 501 Chinese adolescents (246 females; 255 males) between the ages of 11 ~ 20. Participants completed the Dirty Dozen Scale, Moral Disengagement Scale, and Cyber Aggressive Behavior Scale. Results show that higher levels of dark personality were associated with higher levels of MD and CA. Moral disengagement partially mediated this positive effects of dark personality on CA. Moreover, gender moderated the mediation model. Specially, the positive relationship between dark triad personality and CA was stronger among females adolescents. These findings advance the understanding of how dark triad personality induces Chinese adolescents’ cyber aggressive behavior.
Non-Gaussian Limiting Laws for the Entries of Regular Functions of the Wigner Matrices

This paper is a continuation of our paper "Fluctuations of Matrix Elements of Regular Functions of Gaussian Random Matrices", J. Stat. Phys. (134), 147--159 (2009), in which we proved the Central Limit Theorem for the matrix elements of differential functions of the real symmetric random Gaussian matrices (GOE). Here we consider the real symmetric random Wigner matrices having independent (modulo symmetry conditions) but not necessarily Gaussian entries. We show that in this case the matrix elements of sufficiently smooth functions of these random matrices have in general another limiting law which coincides essentially with the probability law of matrix entries.
Classical solvability of the relativistic Vlasov–Maxwell system with bounded spatial density

In (Arch. Rat. Mech. Anal. 1986; 92:59–90), Glassey and Strauss showed that if the growth in the momentum of the particles is controlled, the relativistic Vlasov–Maxwell system has classical solution globally in time. Later they proved that such control is achieved if the kinetic energy density of the particles remains bounded for all time (Math. Meth. Appl. Sci. 1987; 9:46–52). Here, we show that the latter assumption can be weakened to the boundedness of the spatial density. Copyright © 2009 John Wiley & Sons, Ltd.
Adapted GLM gamma parameter estimates for drop size distributions

This article outlines an alternative maximum likelihood gamma parameter estimator for grouped and truncated data. Such data might be produced by traditional disdrometer instruments for recording rain drop sizes. The method is an adaptation of a log‐linear generalized linear model (GLM), forming an iterative process which quickly converges to very near maximum likelihood estimates. Simulations with a Joss–Waldvogel bin regime show that the estimator has little bias. Application to observed data from two different types of disdrometers yields results practically equal to published maximum likelihood estimates.
Perceived Consequences of Post-COVID-19 and Factors Associated with Low Life Satisfaction

A significant number of individuals experience post-COVID-19 symptoms, but knowledge of perceived consequences and life satisfaction is lacking. Here, we investigate perceived consequences regarding everyday life, health, physical activity and work post-COVID-19 and factors associated with low life satisfaction. A total of 766 people (mean age 48; 672 women) experiencing post-COVID-19 symptoms at least two months after infection (mean 13 months) responded to an online survey. A majority (≥77%) perceived physical fatigue, mental fatigue, dizziness, reduced work ability, low life satisfaction and a reduced level of aerobic capacity. In the final logistic regression model (Nagelkerke R Square 0.296, p < 0.001), poor work ability was the most important factor for perceiving low satisfaction with life (Odds ratio 3.369, 95% CI 2.040–5.565, p < 0.001, Nagelkerke R Square 0.177). Reduced aerobic capacity, fatigue and living in a city also increased the odds of low life satisfaction. As people with post-COVID-19 report several long-term consequences, this suggests that there is a need for targeted care for this group. The results of this study can serve as guidance for healthcare authorities regarding important long-term consequences that should be considered in rehabilitation programs directed toward post-COVID-19.
Genetic control of quality melon traits

ABSTRACT: This research studied the genetic control of the traits related to melon fruit quality. The F1, F2, BC1, BC2 generations from the OL x A-16 and OL x PV crossings were evaluated in two separate trials conducted in randomized blocks with three replications. The evaluated traits were: average fruit weight, shape index, pulp thickness, pulp firmness, soluble solids content and cracking rate. The analyses were accomplished through a classic study of generations involving mixed models. The parameters on heritability and number of loci controlling the traits were evaluated in a broad and narrow sense. The inheritance of the evaluated traits is complex, presenting one gene of greater effect and polygenes with additive and dominant effects.
Estimates for the asymptotic expansion of a viscous fluid satisfying Navier's law on a rugous boundary

In a previous paper, we have studied the asymptotic behavior of a viscous fluid satisfying Navier's law on a periodic rugous boundary of period ε and amplitude δε, with δε/ε tending to zero. In the critical size, δε∼ε3/2, in order to obtain a strong approximation of the velocity and the pressure it is necessary to consider a boundary layer term in the corresponding ansatz. The purpose of this paper is to estimate the approximation given by this ansatz. Copyright © 2011 John Wiley & Sons, Ltd.
Commutative ring spectra

In this survey paper on commutative ring spectra we present some basic features of commutative ring spectra and discuss model category structures. As a first interesting class of examples of such ring spectra we focus on (commutative) algebra spectra over commutative Eilenberg-MacLane ring spectra. We present two constructions that yield commutative ring spectra: Thom spectra associated to infinite loop maps and Segal's construction starting with bipermutative categories. We define topological Hochschild homology, some of its variants, and topological Andre-Quillen homology. Obstruction theory for commutative structures on ring spectra is described in two versions. The notion of etale extensions in the spectral world is tricky and we explain why. We define Picard groups and Brauer groups of commutative ring spectra and present examples.
LRD-SLAM: A Lightweight Robust Dynamic SLAM Method by Semantic Segmentation Network

With the development of intelligent concepts in various fields, research on driverless and intelligent industrial robots has increased. Vision-based simultaneous localization and mapping (SLAM) is a widely used technique. Most conventional visual SLAM algorithms are assumed to work in ideal static environments; however, such environments rarely exist in real life. Thus, it is important to develop visual SLAM algorithms that can determine their own positions and perceive the environment in real dynamic environments. This paper proposes a lightweight robust dynamic SLAM system based on a novel semantic segmentation network (LRD-SLAM). In the proposed system, a fast deep convolutional neural network (FNet) is implemented into ORB-SLAM2 as a semantic segmentation thread. In addition, a multiview geometry method is introduced, in which the accuracy of detecting dynamic points is further improved through the difference in parallax angle and depth, and the information of the keyframes is used to repair the static background information absent from the removal of dynamic objects, to facilitate the subsequent reconstruction of the point cloud map. Experimental results obtained using the TUM RGB-D dataset demonstrate that the proposed system improves the positioning accuracy and robustness of visual SLAM in indoor pedestrian dynamic environments.
Formality of 7-dimensional 3-Sasakian manifolds

We prove that any simply connected compact 3-Sasakian manifold, of dimension seven, is formal if and only if its second Betti number is $b_2<2$. In the opposite, we show an example of a 7-dimensional Sasaki-Einstein manifold, with second Betti number $b_2\geq 2$, which is formal. Therefore, such an example does not admit any 3-Sasakian structure. Examples of 7-dimensional simply connected compact formal Sasakian manifolds, with $b_2\geq 2$, are also given.
The four genus of a link, Levine-Tristram signatures and satellites

We give a new proof that the Levine-Tristram signatures of a link give lower bounds for the minimal sum of the genera of a collection of oriented, locally flat, disjointly embedded surfaces that the link can bound in the 4-ball. We call this minimal sum the 4-genus of the link. We also extend a theorem of Cochran, Friedl and Teichner to show that the 4-genus of a link does not increase under infection by a string link, which is a generalised satellite construction, provided that certain homotopy triviality conditions hold on the axis curves, and that enough Milnor's invariants of the infection string link vanish. We construct knots for which the combination of the two results determines the 4-genus.
Explicit root numbers of abelian varieties

The Birch and Swinnerton-Dyer conjecture predicts that the parity of the algebraic rank of an abelian variety over a global field should be controlled by the expected sign of the functional equation of its L L -function, known as the global root number. In this paper, we give explicit formulae for the local root numbers as a product of Jacobi symbols. This enables one to compute the global root number, generalising work of Rohrlich, who studies the case of elliptic curves. We provide similar formulae for the root numbers after twisting the abelian variety by a self-dual Artin representation. As an application, we find a rational genus two hyperelliptic curve with a simple Jacobian whose root number is invariant under quadratic twist.
Globally regular instability of $AdS_3$

We consider three-dimensional AdS gravity minimally coupled to a massless scalar field and study numerically the evolution of small smooth circularly symmetric perturbations of the AdS3 spacetime. As in higher dimensions, for a large class of perturbations, we observe a turbulent cascade of energy to high frequencies which entails instability of AdS3. However, in contrast to higher dimensions, the cascade cannot be terminated by black hole formation because small perturbations have energy below the black hole threshold. This situation appears to be challenging for the cosmic censor. Analysing the energy spectrum of the cascade we determine the width ρ(t) of the analyticity strip of solutions in the complex spatial plane and argue by extrapolation that ρ(t) does not vanish in finite time. This provides evidence that the turbulence is too weak to produce a naked singularity and the solutions remain globally regular in time, in accordance with the cosmic censorship hypothesis.
Solving the hard problem of Bertrand's paradox

Bertrand's paradox is a famous problem of probability theory, pointing to a possible inconsistency in Laplace's principle of insufficient reason. In this article, we show that Bertrand's paradox contains two different problems: an “easy” problem and a “hard” problem. The easy problem can be solved by formulating Bertrand's question in sufficiently precise terms, so allowing for a non-ambiguous modelization of the entity subjected to the randomization. We then show that once the easy problem is settled, also the hard problem becomes solvable, provided Laplace's principle of insufficient reason is applied not to the outcomes of the experiment, but to the different possible “ways of selecting” an interaction between the entity under investigation and that producing the randomization. This consists in evaluating a huge average over all possible “ways of selecting” an interaction, which we call a universal average. Following a strategy similar to that used in the definition of the Wiener measure, we calculate .
Livedo reticularis following administration of ChAdOx1 nCoV-19 vaccine (AZD1222): a report of two cases

The cutaneous appearance of transient or persistent livedo reticularis is characterized by violaceous, mottled, ring-shaped interconnecting lesions that form a reticular or net-like pattern. It can occur physiologically in response to cold exposure, such as in cutis marmorata, but can also be induced by pathological conditions such as vascular obliterans or venodilation. We report two cases of livedo reticularis that occurred on the lower limbs of two patients post ChAdOx1 nCoV-19 vaccination. As the patients had no other likely causes of livedo reticularis, the reticular skin lesions were suspected to occur in association with the ChAdOx1 nCoV-19 vaccination. Livedo reticularis is an uncommon adverse reaction, with few cases being reported post ChAdOx1 nCoV-19 vaccination.
Signatures of Multiplicity Spaces in tensor products of $\mathfrak{sl}_2$ and $U_q(\mathfrak{sl}_2)$ Representations

We study multiplicity space signatures in tensor products of representations of $\mathfrak{sl}_2$ and $U_q(\mathfrak{sl}_2)$, and give some applications. We completely classify definite multiplicity spaces for generic tensor products of $\mathfrak{sl}_2$ Verma modules. This provides a classification of a family of unitary representations of a basic quantized quiver variety, one of the first such classifications for any quantized quiver variety. We use multiplicity space signatures to provide the first real critical point lower bound for generic $\mathfrak{sl}_2$ master functions. As a corollary of this bound, we obtain a simple and asymptotically correct approximation for the number of real critical points of a generic $\mathfrak{sl}_2$ master function. We obtain a formula for multiplicity space signatures in tensor products of finite dimensional simple $U_q(\mathfrak{sl}_2)$ representations. Our formula also gives multiplicity space signatures in generic tensor products of $\mathfrak{sl}_2$ Verma modules and generic tensor products of real $U_q(\mathfrak{sl}_2)$ Verma modules. Our results have relations with knot theory, statistical mechanics, quantum physics, and geometric representation theory.
Bootstrap Multigrid for the Shifted Laplace-Beltrami Eigenvalue Problem

This paper introduces bootstrap two-grid and multigrid finite element approximations to the Laplace-Beltrami (surface Laplacian) eigen-problem on a closed surface. The proposed multigrid method is suitable for recovering eigenvalues having large multiplicity, computing interior eigenvalues, and approximating the shifted indefinite eigen-problem. Convergence analysis is carried out for a simplified two-grid algorithm and numerical experiments are presented to illustrate the basic components and ideas behind the overall bootstrap multigrid approach.
Synthesis and Antioxidant Investigation of Ag2S Nanoparticles Obtained from Silver(I) Complex of N-Methyl-N-Phenyl- Dithiocarbamate

Monoclinic Ag2S nanoparticles have been synthesized via a thermal decomposition of Ag(I) complex of N-methyl-N-phenyl dithiocarbamate (as a single source precursor) in oleylamine at 180 °C. The complex was characterized by spectroscopic techniques. The decomposition profile was studied using thermogravimetry analysis (TGA) coupled to differential scanning calorimetry (DSC), and the results obtained from these characterization techniques confirmed the formation of the silver dithiocarbamate complex. The Ag2S nanoparticles was characterized using X-ray diffraction, energy dispersive X-ray spectrometer (EDS), transmission electron microscopy (TEM), UV-visible spectroscopy, and fourier transform infra-red (FTIR) spectroscopy. The XRD patterns of the silver sulphide nanoparticles confirmed acanthite phase, with the most prominent (-121) peak identified at 2θ value of 34.39o, while EDS analysis showed Ag:S ratio of 2:1, which agreed with the XRD result. FTIR spectrum revealed the presence of amine groups, thereby confirmed that the synthesized Ag2S was capped by oleylamine. Finally, the antioxidant activity of the Ag2S was determined by using 1, 1-diphenyl-2-picrylhydrazyl (DPPH) assay and it exhibited better antioxidant activities than silver nanoparticles.
The Rest-Frame Far-Ultraviolet Morphologies of Star-Forming Galaxies at z ~ 1.5 and 4

We apply a new approach to quantifying galaxy morphology and identifying galaxy mergers to the rest-frame far-ultraviolet images of 82 z ~ 4 Lyman break galaxies (LBGs) and 55 1.2 < z < 1.8 emission-line galaxies in the GOODS and Ultra Deep Field survey. We compare the distributions of the Gini coefficient (G), the second-order moment of the brightest 20% of galaxy light (M20), and concentration (C) for high- and low-redshift galaxies with average signal-to-noise ratios per pixel >2.5 and Petrosian radii >0. ″3. Ten of the 82 LBGs have M20 ≥ -1.1 and possess bright double or multiple nuclei, implying a major-merger fraction of star-forming galaxies ~10%-25% at MFUV < -20, depending on our incompleteness corrections. Galaxies with bulge-like morphologies (G ≥ 0.55, M20 < -1.6) make up ~30% of the z ~ 4 LBG sample, while the remaining ~50% have G- and M20-values higher than expected for smooth bulges and disks and may be star-forming disks, minor mergers, or postmergers. The star-forming z ~ 1.5 galaxy sample has a morphological distribution that is similar to the UDF z ~ 4 LBGs, with an identical fraction of major-merger candidates but fewer spheroids. The observed morphological distributions are roughly consistent with current hierarchical model predictions for the major-merger rates and minor-merger-induced starbursts at z ~ 1.5 and ~4. We also examine the rest-frame FUV - NUV and FUV - B colors as a function of morphology and find no strong correlations at either epoch.
On the Structure of the Solution Set of a Sign Changing Perturbation of the p-Laplacian under Dirichlet Boundary Condition

In a recent paper D. D. Hai showed that the equation $ -\Delta_{p} u = \lambda f(u) \mbox{in} \Omega$, under Dirichlet boundary condition, where $\Omega \subset {\bf R^N}$ is a bounded domain with smooth boundary $\partial\Omega$, $\Delta_{p}$ is the p-Laplacian, $f : (0,\infty) \rightarrow {\bf R} $ is a continuous function which may blow up to $\pm \infty$ at the origin, admits a solution if $\lambda > \lambda_0$ and has no solution if $0 < \lambda < \lambda_0$. In this paper we show that the solution set $\mathcal{S}$ of the equation above, which is not empty by Hai's results, actually admits a continuum of positive solutions.
An Analysis of Google Trends During COVID-19: Determining Public Urological Cancer Concerns

Background The COVID-19 pandemic put a massive strain on the healthcare system as patients avoided the hospital, elective cases were postponed, and general medical anxiety was increased. We aimed to capture public interest in urological cancers during this massive shock to the medical field. Methodology A total of 12 keywords related to the three most prevalent urological cancers (prostate, bladder, and kidney) were searched using Google Trends from 2018 to 2022. The search volume index of these 12 keywords was extracted to assess public interest before and after the pandemic. Results There was a reduction in search volume for "prostate, bladder, and kidney cancer" and "kidney cancer treatment" after the postponement of elective surgeries. However, there was an increase in search volume for "prostate, bladder, and kidney cancer survival rates" and "prostate cancer symptoms" after this period. There was no change in search volume for bladder cancer symptoms, bladder cancer treatment, or kidney cancer symptoms. Conclusions Public interest in urological cancers decreased after COVID, while interest in survival rates across all three cancers increased. Future research is needed to investigate the effects of changing priorities and delays in medical care on patients’ experiences with urological cancers.
PCA by Optimisation of Symmetric Functions has no Spurious Local Optima

Principal Component Analysis (PCA) finds the best linear representation of data, and is an indispensable tool in many learning and inference tasks. Classically, principal components of a dataset are interpreted as the directions that preserve most of its "energy", an interpretation that is theoretically underpinned by the celebrated Eckart-Young-Mirsky Theorem. This paper introduces many other ways of performing PCA, with various geometric interpretations, and proves that the corresponding family of non-convex programs have no spurious local optima, while possessing only strict saddle points. These programs therefore loosely behave like convex problems and can be efficiently solved to global optimality, for example, with certain variants of the stochastic gradient descent. Beyond providing new geometric interpretations and enhancing our theoretical understanding of PCA, our findings might pave the way for entirely new approaches to structured dimensionality reduction, such as sparse PCA and nonnegative matrix factorisation. More specifically, we study an unconstrained formulation of PCA using determinant optimisation that might provide an elegant alternative to the deflating scheme commonly used in sparse PCA.
Explaining the Effects of Clouds on Remote Sensing Scene Classification

Most of Earth is covered by haze or clouds, impeding the constant monitoring of our planet. Preceding works have documented the detrimental effects of cloud coverage on remote sensing applications and proposed ways to approach this issue. However, up to now, little effort has been spent on understanding how exactly atmospheric disturbances impede the application of modern machine learning methods to Earth observation data. Specifically, we consider the effects of haze and cloud coverage on a scene classification task. We provide a thorough investigation of how classifiers trained on cloud-free data fail once they encounter noisy imagery—a common scenario encountered when deploying pretrained models for remote sensing to real use cases. We show how and why remote sensing scene classification suffers from cloud coverage. Based on a multistage analysis, including explainability approaches applied to the predictions, we work out four different types of effects that clouds have on scene prediction. The contribution of our work is to deepen the understanding of the effects of clouds on common remote sensing applications and consequently guide the development of more robust methods.
Salidroside Alleviates Renal Fibrosis in SAMP8 Mice by Inhibiting Ferroptosis

Renal fibrosis progression is closely associated with aging, which ultimately leads to renal dysfunction. Salidroside (SAL) is considered to have broad anti-aging effects. However, the roles and mechanisms of SAL in aging-related renal fibrosis remain unclear. The study aimed to evaluate the protective effects and mechanisms of SAL in SAMP8 mice. SAMP8 mice were administered with SAL and Ferrostatin-1 (Fer-1) for 12 weeks. Renal function, renal fibrosis, and ferroptosis in renal tissue were detected. The results showed that elevated blood urea nitrogen (BUN) and serum creatinine (SCr) levels significantly decreased, serum albumin (ALB) levels increased, and mesangial hyperplasia significantly reduced in the SAL group. SAL significantly reduced transforming growth factor-β (TGF-β) and α-smooth muscle actin (α-sma) levels in SAMP8 mice. SAL treatment significantly decreased lipid peroxidation in the kidneys, and regulated iron transport-related proteins and ferroptosis-related proteins. These results suggested that SAL delays renal aging and inhibits aging-related glomerular fibrosis by inhibiting ferroptosis in SAMP8 mice.