Miracle-dz/UniFAR-FTUs huggingface dataset:
Scalable multiple descriptions on packets networks via the n-dimensional Mojette transform

The Mojette transform is a discrete projector generating bins from ixels (information elements) values. The initial bitstream is first rearranged into a 2D or n-dimensional box of ixels. Each bin value (belonging to a (n-1)-dimensional projection) is computed as the XOR addition of ixels belonging to a discrete line which fix the projection direction. The major advantage of this transform is the linear complexity (both in the number of ixels and the number of projections) for encoding and decoding. Each packet contains a projection, and additional projections can be computed without slowing the network flow. The size of this n-dimensional buffer is tuned according to the real- time constraints and to the desired packet size.
Silicon Carbide Nanostructures as Potential Carbide Material for Electrochemical Supercapacitors: A Review

Silicon carbide (SiC) is a very promising carbide material with various applications such as electrochemical supercapacitors, photocatalysis, microwave absorption, field-effect transistors, and sensors. Due to its enticing advantages of high thermal stability, outstanding chemical stability, high thermal conductivity, and excellent mechanical behavior, it is used as a potential candidate in various fields such as supercapacitors, water-splitting, photocatalysis, biomedical, sensors, and so on. This review mainly describes the various synthesis techniques of nanostructured SiC (0D, 1D, 2D, and 3D) and its properties. Thereafter, the ongoing research trends in electrochemical supercapacitor electrodes are fully excavated. Finally, the outlook of future research directions, key obstacles, and possible solutions are emphasized.
Theory of Thermal Grooving

A theory is presented which describes the development of surface grooves at the grain boundaries of a heated polycrystal. The mechanisms of evaporation‐condensation and surface diffusion are discussed with the use of the Gibbs‐Thompson formula and the assumption that the properties of an interface do not depend on its orientation. For the idealized case in which only one of the mechanisms is operative, the groove profile is shown to have a time‐independent shape whose linear dimensions are proportional to t½ for evaporation‐condensation, and to t½ for surface diffusion. The proportionality constants are evaluated, and criteria are developed which permit one to estimate which process predominates in practice. Order of magnitude agreement is obtained with estimates of actual grooving speeds and profiles.
Controlled Silanization of Transparent Conductive Oxides as a Precursor of Molecular Recognition Systems

The search for new molecular recognition systems has become the goal of modern electrochemistry. Creating a matrix in which properties can be controlled to obtain a desired analytical signal is an essential part of creating such tools. The aim of this work was to modify the surface of electrodes based on transparent conductive oxides with the use of selected alkoxysilanes (3-aminopropyltrimethoxysilane, trimethoxy(propyl)silane, and trimethoxy(octyl)silane). Electrochemical impedance spectroscopy and cyclic voltammetry techniques, as well as contact angle measurements, were used to determine the properties of the obtained layers. Here, we prove that not only was the structure of alkoxysilanes taken into account but also the conditions of the modification process—reaction conditions (time and temperature), double alkoxysilane modification, and mono- and binary component modification. Our results enabled the identification of the parameters that are important to ensure the effectiveness of the modification process. Moreover, we confirmed that the selection of the correct alkoxysilane allows the surface properties of the electrode material to be controlled and, consequently, the charge transfer process at the electrode/solution interface, hence enabling the creation of selective molecular recognition systems.
Magnetoelectric coupling in multiferroic laminated plates with giant magnetostrictive material layers

We present an analytical model to predict the magnetoelectric (ME) effect in multiferroic laminated plates consisting of piezoelectric material and giant magnetostrictive material (GMM). The nonlinear behavior of GMM is taken into account by employing a simple quadratic constitutive relation. Both static and dynamic cases are considered. It is found that: (1) the dependence of ME effect on the applied magnetic field is quite different from that reported in the previous analysis; and (2) one part of the induced electric field has a frequency that is double the driving frequency of the applied magnetic field. The results indicate that multiferroic laminated plates with GMM layers have potential applications in multipliers and energy harvesters.
Axisymmetric gravity-capillary standing waves on the surface of a fluid

We report on the experimental study of axisymmetric gravity-capillary standing waves generated by a vertically vibrating ring partially immersed into a fluid. Different regimes of standing waves are highlighted at the basin center depending on the forcing parameters: linear, nonlinear, and ejection regimes. For weak forcing, the standing waves display a resonant response, close to a natural frequency of the circular basin, predicted by the linear theory. For stronger forcing, we observed that the experimental spatial profile of standing waves breaks the up-down symmetry, and is well described by a third-order nonlinear theory. When the forcing is further increased, the maximum height of the axisymmetric wave crest at the basin center is found to increase linearly with its wavelength, due to the saturation of its steepness, a result well captured by a proposed model.
The influence of language experience on perception: The case of Spanish and English

Native speakers can distinguish sounds that serve a contrastive function in their language better than those that do not, but the role of allophony in speech perception is understudied. The present study tests the influence of the allophonic/phonemic distinction on ratings of perceptual similarity given by Spanish and English listeners to pairs of stimuli contrasting [d], [r], and [■]. These sounds have different phonological relations in the two languages: [d] and [r] are allophonic in English and contrastive in Spanish, while [d] vs [■] are allophonic in Spanish but contrastive in English. The study also investigated to what extent, if any, degree of experience/proficiency with a non‐native language influences perception. The results suggest that native language but not level of language proficiency in L2 affects rated similarity. In particular, whether or not sounds are in an allophonic or contrastive relationship in the native language shapes how these sounds are perceived. [Work supported by NIDCD Gr.
Phonemic Awareness Strategies Used in Teaching English Language Literacy Skills to Grade Three Pupils in Public Primary Schools in Embu County, Kenya

: Studies have shown that among the factors that influence acquisition of literacy in a second language (L2) is learners’ phonemic awareness (Adams, 1990). This study investigated the phonemic awareness strategies used in teaching English language literacy to Grade Three pupils in public primary schools in Embu County Kenya. The study found out that Grade Three teacher showed inadequate knowledge and skills in using phonemic awareness strategies and approaches in teaching phonemic awareness. The study concludes that equipping Grade Three teachers and other lower grades teachers with phonemic awareness strategies is essential in developing alphabetic principle and orthographic mapping which are key facets in reading and writing. This study will equip primary school teachers in the Early Years Education (EYE) tier of the Competence Based Curriculum (CBC) with linguistic approaches and strategies much needed for successful instruction in English language literacy.
Bases in ₂ spaces with applications to stochastic processes with orthogonal increments

Orthonormal bases are explicitly given for L2 spaces on the real line. They are applied in obtaining orthogonal expansions for certain classes of stochastic processes and in constructing stochastic processes with orthogonal increments. 1. Orthonormal bases in L2 spaces on the real line. The following notation is used. R is the real line; 63 is the a-algebra of Lebesgue measurable subsets of R; m is the Lebesgue measure on (R, 63); E = (a, b) with -oo 0. Explicit orthonormal bases in L2(E, 63E, mE) are known: the Hermite f unctions for E = R; the Laguerre functions (with an appropriate linear change of variable) for E = (a, + oo), a finite, and for E = (oo, b), b finite; the Legendre polynomials and the trigonometric functions for E = (a, b), a and b finite. The problem of constructing orthonormal bases in L2(E, (Bv, /t) with A a finite measure is considered in [I] and a complete answer is given in [7]. In this section, orthonormal bases are given explicitly for every L2(E, (BE, b) with the set E and the measure ,i as determined above. Fix toEE and define F:E-*R by F(t) = AI (to, t]} for to < t < b, (1.1) = 0 for t = to, = -M{(t, to]} for a < t < to. F is a right continuous, nondecreasing function and has at most countable points of jumps, at say, D = {dm}m1 C E. Define the measures X and v on (E, (BE) by X(B) = p1(B n D) and v(B) Received by the editors September 28, 1970. AMS 1969 subject classifications. Primary 4217, 6069.
Noninformative priors for one parameter of many

SUMMARY We consider the problem of constructing a prior that is 'noninformative' for a single parameter in the presence of nuisance parameters. Our approach is to require that the resulting marginal posterior intervals have accurate frequentist coverage. Stein (1985) derived nonrigorously a sufficient condition for such a prior. Through the use of orthogonal parameters, we give a general form for the class of priors satisfying Stein's condition. The priors are proportional to the square root of the information element for the parameter of interest times an arbitrary function of the nuisance parameters. This is in contrast to Jeffreys (1946) invariant prior for the overall parameter, which is proportional to the square root of the determinant of the information matrix. Several examples are given and comparisons are made to the reference priors of Bernardo (1979).
Wavefront measurement by phase retrieval through single defocus intensity patterns

An algorithm for wavefront measurement using a phase retrieval method is proposed. Only one defocus intensity pattern of the imaging optical system is needed for phase retrieval. Based on the extended Nijboer–Zernike (ENZ) approach, this algorithm draws on general inverse matrix theory, and a predictor–corrector method is also used to correct the linearization errors for medium-to-large aberrations. This method does not need multi-defocus intensity in the focal region, and it can exclude vibration during multi-intensity pattern capturing, making the whole process simple and brief. Some simulated results are presented which show this algorithm has good convergence against noise. A confirmatory experiment is carried out, and its results verifying this method are also given.
Variable selection using P‐splines

Selecting among a large set of variables those that influence most a response variable is an important problem in statistics. When the assumed regression model involves a nonparametric component, penalized regression techniques, and in particular P‐splines, are among the commonly used methods. The aim of this paper is to provide a brief review of variable selection methods using P‐splines. Starting from multiple linear regression models, with least‐squares regression, and Ridge regression, we review standard methods that perform variable selection, such as LASSO, nonnegative garrote, the SCAD method, etc. We briefly discuss a general framework of penalization and regularization methods. Going toward more flexible regression models, with some nonparametric component(s), we discuss P‐splines estimation. For some examples of flexible regression models, we then review a few variable selection methods using P‐splines. A brief discussion on grouped regularization techniques and on a robust variable selection method is given. Furthermore, we mention key ingredients in Bayesian approaches, and end the paper by drawing the attention to several other issues in variable selection with P‐splines. Throughout the paper we provide some illustrations. WIREs Comput Stat 2015, 7:1–20. doi: 10.1002/wics.1327
Graphical Sensitivity Analysis for Multidimensional Scaling

Abstract This article introduces graphical sensitivity analysis for multidimensional scaling. This new technique is designed to combat two problems associated with multidimensional scaling analyses: The possibility of local minima and the uncertainty regarding sensitivity of the solution to changes in the parameters. Graphical sensitivity analysis is currently available in ViSta-MDS, a test bed for graphical model examination. By graphically manipulating points in the solution space, analysts may examine the sensitivity of the solution to changes in the model parameters. Furthermore, the analyst may search for alternative solutions that represent local minima. An example of graphical sensitivity analysis using ViSta-MDS is described.
Surfactant destabilization and non-linear phenomena in two-fluid shear flows at small Reynolds numbers

The flow of two superposed fluids in a channel in the presence of an insoluble surfactant is studied. Asymptotic analysis when one of the layers is thin yields a system of coupled weakly non-linear evolution equations for the film thickness and the local surface surfactant concentration. Film and main flow dynamics are coupled through a non-local term, and in the absence of surfactants the model is non-linearly stable with trivial large time solutions. Instability arises due to the presence of surfactants and the pseudo-differential non-linear system is solved numerically by implementing accurate linearly implicit methods. Extensive numerical experiments reveal that the dynamics are mostly organized into travelling or time-periodic travelling wave pulses, but spatiotemporal chaos is also supported when the length of the system is sufficiently large.
Personality Traits and Whistleblowing on Twitter: The Moderating Roles of Moral Identity and Politics Perceptions

The present study examines the impact of the Big Five personality on whistleblowing behaviors on Twitter. Meanwhile, two opposite moderators are explored that the weak situations of whistleblowing on Twitter can activate users' trait. Hierarchical regression analyses were conducted to test the hypotheses, with the Big Five personality traits as predictors and whistleblowing behaviors on Twitter as criterion variables. First, individuals high in extraversion and conscientiousness tend to perform both the original and retweeting whistleblowing on Twitter; Individuals low in agreeableness are more likely to reveal original wrongdoing information, while those high in agreeableness tend to retweet information; individuals high in openness enjoy retweeting but not original whistleblowing. The degree of moral identity moderates the positive relationship between extraversion / agreeable / conscientiousness and (retweeting) whistleblowing on Twitter, such that the relationship is stronger as moral identity increases. The degree of politics perceptions moderates the relationship between extraversion/agreeable/conscientiousness and (retweeting) whistleblowing on Twitter, such that the relationship is weaker as politics perceptions increases. The degree of moral identity moderates the negative relationship between agreeableness and original whistleblowing on Twitter, such that the relationship is weaker as moral identity increases. The degree of politics perceptions moderates the negative relationship between agreeableness and original whistleblowing on Twitter, such that the relationship is stronger as politics perceptions increases. This paper gives a form of weak situations on whistleblowing. A pair of opposite cues may build the weak situations. Modern identity shows the positive power for potential whistleblowers to express their trait, while politics perceptions prevent them exert personality by whistleblowing. The paradox situations could give a behavioral model how observers with different traits respond to the wrongdoings in these situations.
Sound Generation Method with Timing-Aligned Visual Feature Mapping

: In order to address the problems of existing methods, such as obvious noise, weak reality and asynchronous with video, we proposed a sound generation method based on timing-aligned visual feature mapping. Firstly, we designed a feature aggregation window based on temporal constraint, which extract integrated visual feature from the video sequence. Secondly, the integrated visual feature was transformed into multi-frequency audio feature by a spatio-temporal matching cross-modal mapping network. Finally, we utilized an audio decoder to obtain Mel-spectrogram from audio features, and send to a vocoder to output the final wave-form. We completed qualitative and quantitative experiments on the VAS dataset, and the results show that the proposed method significantly improves audio quality, timing alignment, and audience perception.
Role of Leptin as a Link between Asthma and Obesity: A Systematic Review and Meta-Analysis

Asthma and obesity are considered as highly prevalent diseases with a great impact on public health. Obesity has been demonstrated to be an aggravating factor in the pathogenesis of asthma. Adipose tissue secretes proinflammatory cytokines and mediators, including leptin, which may promote the development and severity of asthma in obese patients. This study is a systematic review and a meta-analysis based on the relationship between leptin and asthma during obesity. MEDLINE, Cochrane, EMBASE and CINAHL databases were used. Data heterogeneity was analyzed using Cochran’s Q and treatment effect with the DerSimonian and Laird method. Random effect analyses were carried out to test data sensitivity. Asymmetry was estimated using Begg’s and Egger’s tests. All studies showed significant differences in leptin levels. The effect of the measures (p < 0.001), data sensitivity (p < 0.05) and data asymmetry were statistically significant, as well as tBegg’s test (p = 0.010) and Egge’s test (p < 0.001). Despite the existing limiting factors, the results of this study support the relevant role of leptin in the pathophysiology of asthma in obese subjects. Nevertheless, further studies are needed to obtain better insight in the relationship between leptin and asthma in obesity.
Nanoparticle-based Drug Delivery System for Post Myocardial Infarction Management

Review Nanoparticle-based Drug Delivery System for Post Myocardial Infarction Management Minxuan Liu, Chiara Ramponi, Xiaoxue Fan, Xinzhuang Zhang, Liang Cao, Zhenzhong Wang, and Wei Xiao * State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang, 222001, China. * Correspondence: xw_kanion@163.com Received: 15 October 2022 Accepted: 2 November 2022 Published: 21 December 2022 Abstract: Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the world. Myocardial infraction (MI) as one of the most harmful forms of ischaemic heart disease requires rigorous and tempestive approaches which are not met by current clinical interventions. Nanotechnology has developed promising clinical applications for imaging, diagnostic, gene delivery and tissue engineering, which makes this technology a potential candidate for novel therapeutic delivery approach. This review highlights several recent research reports regarding advances in drug delivery using nanoparticle-based (NP) strategies, as well as future challenges and opportunities.
Geranium sylvaticum increases pollination probability by sexually dimorphic flowers

Abstract Sexual dimorphism is expressed as different morphologies between the sexes of a species. Dimorphism is pronounced in gynodioecious populations which consist of female and hermaphrodite individuals. The small size of female flowers in gynodioecious species is often explained by resource re‐allocation to seed production instead of large flowers. However, pollinator attraction is critical to female fitness, and factors other than resource savings are needed to explain the small size of female flowers. We hypothesized that the floral size dimorphism in the perennial gynodioecious Geranium sylvaticum (L.) is adaptive in terms of pollination. To test this “pollination hypothesis,” we video recorded the small female and large hermaphrodite G. sylvaticum flowers. We parameterized floral visitor behavior when visiting a flower and calculated pollination probabilities by a floral visitor as the probability of touching anther and stigma with the same body part. Pollination probability differed in terms of flower sex and pollinator species. Bumblebees had the highest pollination probability. The small female flowers were more likely to receive pollen via several pollinator groups than the large hermaphrodite flowers. The pollen display of hermaphrodites matched poorly with the stigma display of hermaphrodites, but well with that of females. Although the small size of female flowers is commonly explained by resource re‐allocation, we show that sexual dimorphism in flower size may increase the main reproductive functions of the females and hermaphrodites. Dimorphism increases pollination probability in females and fathering probability of the hermaphrodites likely driving G. sylvaticum populations towards dioecy.