Miracle-dz/UniFAR-FTUs huggingface dataset:
ISC-CPPA:Improverd-Security Certificateless Conditional Privacy-Preserving Authentication Scheme With Revocation

With the development of Internet of Things, communication and computer technology, the significance of realizing vehicular ad hoc networks (VANETs) become more important. Due to wireless communication, VANETs suffer cyber attacks in practice. Many anonymous authentication schemes have been proposed in the literature. Li et al. proposed an efficient authentication scheme called CL-CPPA. However, the proposed scheme failed to realize the claimed un-linkability and anonymity. In this work, we proposed a new certificateless conditional privacy-preserving authentication scheme with an enhanced security guarantee. Specifically, a random number is selected to encrypt the unique tag to ensure anonymity. And our proposed scheme also realizes un-linkability, ensuring that attackers cannot determine whether different messages are sent by the same vehicle. Besides, we present a detailed and efficient revocation mechanism in the proposed scheme. Each RSU has its own private key, when there is a malicious vehicle, RSU will immediately update the private key of current area. Only legitimate vehicles can get the new private key, and malicious vehicle is efficiently revoked from the network. The experiment results show that the proposed scheme solves the above problems with little additional extra calculations.
Charge ordered states in La1-xSrxFeO3

The presence of complex charge ordering (CO) phenomena in La1-xSrxFeO3 (0 less than or equal to x less than or equal to 0.7) has been revealed by transmission electron microscopy at low temperatures. In La0.7Sr0.3FeO3 (x = 0.3) the precursory CO reflections become visible as streaks at similar to 250 K upon cooling. Below 150 K these streaks condense to sharp spots at the systemic (1/2,0,0) positions. The real-space images are suggestive of charge segregation occurring at low temperatures. At high doping levels (0.5 less than or equal to x less than or equal to 0.7), the CO has been observed in the [111](p) direction below similar to 200 K. In particular, the results obtained La0.3Sr0.7FeO3 (x = 0.7) can be well understood in terms of CO in sequence . Fe3+Fe3+Fe5+Fe3+Fe3+Fe5+ . , as proposed previously.
T2B Model-Experiencing the Successful Conversion of Traditional T2B Model-Experiencing the Successful Conversion of Traditional Enterprise to e-Business Enterprise to e-Business

Successful selling over the Internet involves organizing the entire value chain around the Internet and determines where they can exploit technology to add value. Such conversion in small and medium size enterprises (SMEs) is still at its enfant stage; knowing on the large enterprises’ experiences, this enlarges the non-empirical qualitative learning and possibilities for empirically testable theories to come up with a well-structured framework for such conversion. Based on theories from technological innovation literature, this paper presents an integrated model for T2E (Traditional to Electronic) business conversion for SME. Our novel T2E model makes use of a 3-layers hybrid approach: which unifies the technique of IDEF [Integrated Computer-Aided Manufacturing (ICAM) DEFfinition] to assist in business process design; the concept of Business Process Reengineering (BPR) for business structure re-organization; and Innovation Diffusion (ID) theory for progressive introduction of new e-business functions. Our model is intended to minimize the impact of operational and cultural changes on SMEs while taken the critical successful factors of e-business projects in consideration. The feasibility of our conceptual framework is testified by a case study SME - Valentino World Fashion (VW), Inc.
Smarandache Geometries, Multi-Space Theory, and Neutrosophy Applied in Physics

The applications of Dynamic Smarandache Multi-Space (DSMS) Theory are discussed in this paper. Assume that different equations are established for n different dynamic spaces (where n is a dynamic positive integer and a function of time), and these n different dynamic spaces combine to form a DSMS, and they are mutually interacted. Some new coupled equations need to be established in the DSMS to replace some equations in the original dynamic spaces, and some other equations need to be added to account for the contact, boundary conditions and so on. For a unified treatment of all equations in the DSMS, this paper proposes a quantization process for all variables and all equations and a unified variational principle for quantization using a collocation method based on the method of weighted residuals, and we may simultaneously solve all equations in the DSMS with the optimization method. With the unified variational principle of quantization in the DSMS and the fractal quantization method, we pave a way for a unified treatment of problems in the theory of relativity and the quantum mechanics, and a unified treatment of problems related with the four fundamental interactions. Finally a coupled solution for problems of relativity and quantum mechanics is discussed.
Multiphase turbulent interstellar medium: some recent results from radio astronomy

The radio frequency 1.4 GHz transition of the atomic hydrogen is one of the important tracers of the diffuse neutral interstellar medium. Radio astronomical observations of this transition, using either a single dish telescope or an array interferometer, reveal different properties of the interstellar medium. Such observations are particularly useful to study the multiphase nature and turbulence in the interstellar gas. Observations with multiple radio telescopes have recently been used to study these two closely related aspects in greater detail. Using various observational techniques, the density and the velocity fluctuations in the Galactic interstellar medium was found to have a Kolmogorov-like power law power spectra. The observed power law scaling of the turbulent velocity dispersion with the length scale can be used to derive the true temperature distribution of the medium. Observations from a large ongoing atomic hydrogen absorption line survey have also been used to study the distribution of gas at different temperature. The thermal steady state model predicts that the multiphase neutral gas will exist in cold and warm phase with temperature below 200 K and above 5000 K respectively. However, these observations clearly show the presence of a large fraction of gas in the intermediate unstable phase. These results raise serious doubt about the validity of the standard model, and highlight the necessity of alternative theoretical models. Interestingly, numerical simulations suggest that some of the observational results can be explained consistently by including the effects of turbulence in the models of the multiphase medium. This review article presents a brief outline of some of the basic ideas of radio astronomical observations and data analysis, summarizes the results from recent observations, and discusses possible implications of the results.
The Effect of Technological Innovation on Economic Growth: Evidence from ECOWAS Countries

This study examines the impact of technological innovation on economic growth in the Economic Community of West African States (ECOWAS) from 2008 to 2020, which are lacking behind in terms of their innovation activities. Technological Innovation has a crucial impact on improving the productivity of human and physical capital which will translate to higher economic growth. Given the importance of technological innovation to economic growth, this study empirically investigates the effect of technological innovation on economic growth in these countries and examines how the improvement in human capital, foreign direct investment, institutions, physical capital and annual population growth can stimulate economic growth. The study employed a panel model with a fixed effect, two-ways and time random effect estimation method which helps to observe the heterogeneities in these countries. The study found that technological innovation has a negative impact on economic growth in these countries which is due to its poor institutions and the inability of their governments to formulate and implement policies that will promote human capital development that will produce meaningful technological innovation and/or effectively utilize existing ones.
SOME IMPROVEMENTS ON THE CONSTANTS FOR THE REAL BOHNENBLUST-HILLE INEQUALITY

A classical inequality due to Bohnenblust and Hille states that for every $N \in \mathbb{N}$ and every $m$-linear mapping $U:\ell_{\infty}^{N}\times. \times\ell_{\infty}^{N}\rightarrow\mathbb{C}$ we have \[(\sum\limits_{i_{1},.,i_{m}=1}^{N}| U(e_{i_{^{1}}},.,e_{i_{m}})| ^{\frac{2m}{m+1}}) ^{\frac{m+1}{2m}}\leq C_{m}| U|] where $C_{m}=2^{\frac{m-1}{2}}$. The result is also true for real Banach spaces. In this note we show that an adequate use of a recent new proof of Bohnenblust-Hille inequality, due to Defant, Popa and Schwarting, combined with the optimal constants of Khinchine's inequality (due to Haagerup) provides quite better estimates for the constants involved in the real Bohnenblust-Hille inequality. For instance, for $2\leq m\leq 14,$ we show that the constants $C_{m}=2^\frac{m-1}{2}$ can be replaced by $2^{\frac{m^{2}+6m-8}{8m}}$ if $m$ is even and by $2^{\frac{m^{2}+6m-7}{8m}}$ if $m$ is odd, which substantially improve the known values of $C_{m}$. We also show that the new constants present a better asymptotic behavior.
Growth and leaf area analysis of buffel grass subjected to salt stress

Buffel grass has characteristics of resistance and rapid recovery to prolonged drought, however, few studies indicate this resistance to salinity. Thus, the objective was to evaluate the relationship between salt stress and the growth dynamics, green mass production and area of Buffel grass. The experiment was conducted in an entirely randomized design, with three levels of salinity and ten repetitions, totaling 30 experimental units. Measurements of height, cutting and weighing of green mass were made in three periods, with intervals of 28 days between them, and photography of the leaves for analysis in ImageJ software in the last period. The data obtained were submitted to the Shapiro-Wilk normality test and Bartlett's homogeneity test. Kruskal-Wallis non-parametric test and Dunn's post-test was applied for data that did not follow normality, and ANOVA test and Tukey's post-test for those that followed normality and homogeneity. The results indicate that there was no significant difference in height for the treatments with or without salt, so even with the addition of salt there was no interference in growth, but when compared in relation to the periods, it can be observed that the last period was different from the others, this can be explained by the vegetative vigor of the plant, because when it is younger it has more efficient cell multiplication, but as it suffers injuries, the vigor is decreased and growth is slower. Therefore, there are some differences in the behavior of grass submitted to salinity, but they do not significantly interfere in its development.
Design and analysis for dynamic wireless charging infrastructure in INCIT-EV H2020 project

Expecting future large increase of EVs infrastructure implementation to the distribution network, grid’s power quality should be analyzed to ensure best performance. In INCIT-EV European project [1], companies and research laboratories work together to design solutions considering different use case studies, different types of electric vehicles and different charging solutions. This paper focus on the use case of Versailles: Dynamic wireless charging on highways (90 kW power – 80m lane – 130 km/h vehicle speed). This innovative concept will be tested on the Versailles experimental site by UGE/Vedecom/CIRCE/Enedis.
Faktor-Faktor Yang Mempengaruhi Pelaksanaan Hedging Pada Perusahaan Sektor Pertambangan Yang Tercatat Di BEI

Objektif. Penelitian ini bertujuan untuk mengetahui dan penganalisis pengaruh leverage, growth opportunity, dan firm size terhadap pelaksanaan hedging pada perusahaan sektor pertambangan yang terdaftar di Bursa Efek Indonesia. Metode Riset. Metode pengumpulan data yang digunakan metode dokumentasi. Analisis data yang digunakan kuantitatatif. Alat analisis yang digunakan yaitu regresi linier berganda dan uji hipotesis Hasil. Hasil pengujian hipotesis dengan menggunakan uji F ada pengaruh positif dan signifikan Leverage, Growth Opportunity, dan Firm Size, secara bersama-sama terhadap Pelaksanaan Hedging pada perusahaan sektor pertambangan yang terdaftar di Bursa Efek Indonesia. Hasil uji t menujukan ada berpengaruh positif dan tidak signifikan Growth Opportunity terhadap Pelaksanaan Hedging, Firm Size berpengaruh positif dan dan signifikan terhadap Pelaksanaan Hedging, Leverage berpengaruh positif dan dan signifikan terhadap Pelaksanaan Hedging pada Perusahaan Sektor Pertambangan yang terdaftar di Bursa Efek Indonesia. Kesimpulan. Secara simultan, pelaksanaan hedging dipengeruhi oleh leverage, growth opportunity, dan firm size, namun secara parsial pelaksanaan hedging dipengaruhi oleh leverage dan firm size. Sementara growth opportunity tidak signifikan dalam mempengarhi pelaksaan hedging.
Systematic changes in temporal summation across human visual cortex

The visual system analyzes image properties across multiple spatial and temporal scales. Population receptive field ("pRF") models have successfully characterized spatial representations across the human visual pathways. Here, we studied temporal representations, measuring fMRI and electrocorticographic ("ECoG") responses in posterior, lateral, ventral, and dorsal visual areas to briefly viewed contrast patterns. We built a temporal pRF model employing linear summation and time-varying divisive normalization. Our model accurately predicts the fMRI amplitude and ECoG broadband time-course, accounting for two phenomena - accumulation of stimulus information over time (summation), and response reduction with prolonged or repeated exposure (adaptation). We find systematic differences in these properties: summation periods are increasingly long and adaptation more pronounced in higher compared to earlier visual areas. We propose that several features of temporal responses - adaptation, summation, and the timescale of temporal dynamics - can be understood as resulting from a small number of canonical neuronal computations.
Development of Prayer Rakaat Counter Using Piezoelectric Sensor

In this study, a rakaat counter tool was designed and implemented to reduce mistakes in calculating the number of rakaat during prayer. The piezoelectric is used as sensor which is placed on the top of the prayer mat. Rakaat is calculated when piezoelectric has detected twice prostration. There are four modes in this system, namely fardhu prayer with seven segment display, fardhu prayer with LED display, sunnah prayer with seven segment display, and sunnah prayer with LED display. There is an LED indicator when the rakaat is done which should be in accordance with the prayer time using RTC. The first test of this tool was carried out with piezoelectric calibration when pressed by the load and forehead. This was accomplished to determine when piezoelectric counting proceeded as piezoelectric was connected directly to the ADC of Arduino Uno. The second test was carried out by testing the tool to be used for 3 days in 5 fardhu prayers and 1 sunnah prayer. From the results of the testing it is proven that this tool works properly, and piezoelectric can be used as a replacement button as a tool for rakaat counter.
On Arbitrarily Underdispersed Discrete Distributions

Abstract We survey a range of popular generalized count distributions, investigating which (if any) can be arbitrarily underdispersed, that is, its variance can be arbitrarily small compared to its mean. A philosophical implication is that some models failing this simple criterion should not be considered as “statistical models” according to McCullagh’s extendibility criterion. Four practical implications are also discussed: (i) functional independence of parameters, (ii) double generalized linear models, (iii) simulation of underdispersed counts, and (iv) severely underdispersed count regression. We suggest that all future generalizations of the Poisson distribution be tested against this key property.
Three-dimensional photoelectron holography with trichromatic polarization-tailored laser pulses

We present a three-dimensional (3D) photoelectron wave packet holography scheme based on polarization-tailored trichromatic femtosecond laser pulses for the determination of quantum phases in atomic multiphoton ionization (MPI). Experimentally, we combine supercontinuum polarization pulse shaping with photoelectron tomography for the reconstruction of the 3D photoelectron momentum distribution (PMD). To demonstrate the 3D photoelectron holography scheme, we superimpose a sculptured wave packet encoding a relative continuum phase with a reference wave packet. In particular, we create a sculptured angular momentum superposition wave packet by (2 + 1) resonance-enhanced MPI of potassium atoms using a counter-rotating circularly polarized bichromatic pulse sequence. The sculptured wave packet, consisting of states with different orbital angular momentum quantum numbers, interferes with the reference wave packet generated by direct three-photon ionization with a circularly polarized pulse of the third color. Depending on the circularity of the reference pulse, interference of both wave packets gives rise to 3D photoelectron holograms with c 2 or c 4 rotational symmetry in the laser polarization plane, i.e., in the azimuthal direction. In the polar direction, the azimuthal interference pattern undergoes a phase-shift revealing the relative quantum phase between the p- and f-type continuum partial waves in the sculptured wave packet. We determine the relative continuum phase by fitting the parameters of an analytical model of the hologram to the measured 3D PMD and confirm the result by direct extraction of the continuum phase difference from the polar-angle-dependent azimuthal phase-shift of the photoelectron angular distribution.
A Survey of the Integral Representation of American Option Prices

This paper surveys some of the literature on American option pricing, in particular the representations of McKean (1965), Kim (1990) and Carr, Jarrow and Myneni (1992). It is proposed that the approach regarding the problem as a free boundary value problem, and solving this via incomplete Fourier transforms, is the most robust for further developments involving more complex payo structures, and higher dimensional problems such as multi-asset American options. Some comparison of di erent numerical solution methods is also provided.
Effect of Corporate Social Responsibility on Consumer Satisfaction and Consumer Loyalty of Private Banking Companies in Peru

This study aimed to determine the effect of corporate social responsibility (CSR) on consumer satisfaction and loyalty in the Peruvian private banking sector. A total of 390 bank consumers fulfilled an online survey. It evaluated the effect of corporate social responsibility (CSR), customer satisfaction (CS), and customer trust (CT) on customer loyalty. The results suggest that CSR and customer satisfaction, through customer trust, have a positive effect on customer loyalty. The model explained 63.6% of customer loyalty. Outcomes of the bootstrapping test showed that the path coefficients were significant. The research findings may help bank managers to understand customers’ satisfaction and trust, which can create a preference and loyalty for their firms. The study’s novelty is based on the use of the partial least square structural equation modeling technique (PLS-SEM) to evaluate CSR in the financial sector in Peru.
Explainable and secure artificial intelligence: taxonomy, cases of study, learned lessons, challenges and future directions

ABSTRACT Explainable artificial intelligence (XAI) is an evolving discipline that mainly emphasises unboxing in these Black-Boxes. This study provides in-depth review of XAI literature together with a new taxonomy of categorising XAI methods. Moreover, the security of Deep learning (DL) against different attacks turned to be a critical concern for both industry and academia. This study presents a taxonomic overview of the attacks on DL solutions and methods for securing DL against these attacks. Experiments are performed to evaluate and analyse the cutting-edge methods for explaining and securing DL models on real-world case studies of Twitter sentimental analysis using state-of-the-art DL models.
Type I error and power of the rank transform analysis of covariance (ANCOVA) in a 3 $\times$ 4 factorial layout

TYPE I ERROR AND POWER OF THE RANK TRANSFORM ANALYSIS OF COVARIANCE (ANCOVA) IN A 3x4 FACTORIAL LAYOUT by TODD C. HEADRICK May 1997 Advisor: Dr. Shlomo S. Sawilowsky Major: Evaluation and Research Degree: Doctor o f Philosophy The purpose o f this dissertation was to compare the Type I error and power properties o f the rank transform (RT) analysis of covariance (ANCOVA) with the parametric ANCOVA in a 3 x 4 factorial layout using Monte Carlo techniques. With all parametric assumptions valid, i.e., N~iid(0,l), the simulation results demonstrated that the RT ANCOVA test failed as a test for interaction due to severe Type I error inflation. The Type I error inflations associated with the RT were most pronounced when both main effects were nonnull and the interaction null. Further, Type I error inflations became progressively worse as the variate/covariate correlation and/or sample size increased. For example, with an effect size o f 0.8, n = 10 observations per cell, and nominal alpha (a) = 0.05, the Type I error rates were: 0.065 with r = 0.0; 0.066 with r = 0.3; 0.078 with r = 0.6; and 0.155 with r = 0.9. Moreover, with n = 30, the Type I error rates were: 0.123 with r = 0.0; 0.134 with r = 0.3; 0.167 with r = 0.6; and 0.443 with r = 0.9, ceteris paribus. Furthermore, Type I error inflations were even worse for nonnormal conditional distributions possessing positive kurtosis. Type I error inflations were also noted with one main effect and interaction nonnull, and the remaining main effect null.
EXTRACTING WATER BODIES IN RGB IMAGES USING DEEPLABV3+ ALGORITHM

Abstract. Deep Learning algorithms are increasingly used for mapping waterbodies in remotely sensed images. DeepLabV3+ is an image segmentation method that includes ASPP and encoder-decoder to retrieve pyramid spatial features at different scales and structural information respectively. Previous studies have shown that DeepLabV3+ can accurately map waterbodies in false colour infrared images. However, ability of DeepLabV3+ for extracting waterbodies in RGB images is unknown. This study tested DeepLabv3+ algorithm to extract waterbodies in the RGB bands. Sentinel 2A/B images (n = 2841) and their corresponding annotations were downloaded from Kaggle (host of public datasets) and subset images (n = 10405) of 100 × 100 pixels were cropped. From these subset images, 8941 were used for training and validation and 1464 were used for testing the trained model. Dice and Jaccard/Intersection over Union (IoU) were used for evaluating the output generated by the model. The network was trained for 50 epochs with 32 iterations in each epoch. The model trained at the end of 30th epoch was selected as final based on minimum information loss (0.0743). The average Dice and Jaccard/IoU scores for the output images were 0.8412 and 0.7169 respectively. The high scores obtained in this study indicate that DeepLabV3+ can be used for identifying waterbodies in RGB or true-colour images.