Miracle-dz/UniFAR-FTUs huggingface dataset:
Observations related to the acceleration, injection, and interplanetary propagation of energetic protons during the solar cosmic ray event on February 16, 1984

Data from the worldwide network of neutron monitors and from the cosmic ray telescopes on IMP 8 have been used to deduce the intensity-time profiles, the anisotropy-time profiles, the energy spectra, and the pitch angle distributions of the solar protons near Earth during the solar cosmic ray event on February 16, 1984. In addition, measurements by particle detectors on the GOES 5 and 6 and ICE spacecraft were used in the analysis. The pronounced anisotropy of the particle fluxes, lasting approx.40 min at relativistic energies and more than 2 hours at approx.75 MeV, shows that the propagation of the solar protons in the interplanetary magnetic field (IMF) was practically scatter-free (mean free path lambdaapprox. >2 AU) and that the injection of the particles into the IMF at the Sun was time-extended. Although the analysis of the onset times of the event as a function of the reciprocal of the proton speeds does not clearly exclude a delta-like acceleration of the flare protons, we infer that the solar protons with 70- to 500-MeV energy were injected into the IMF 4 +- 2 min earlier than the relativistic protons. Proton energy spectra at the Sun over a range from 25 MeV tomore » 10 GeV, as constructed from the solar proton observations at Earth, evolved with time in both amplitude and energy. The time evolution of the energy spectra at the Sun also suggests that the lower-energy protons were accelerated earliest. These observations are consistent with an acceleration of the protons by a coronal shock. copyright American Geophysical Union 1988« less
Adoption of Google Meet by Postgraduate Students: The Role of Task Technology Fit and the TAM Model

The use of online meeting programs, such as Google Meet (GM), provides several benefits for teachers and students in terms of achieving learning goals outside of the classroom. Depending on the requirements and goals of the students, a variety of apps might be employed. The point of the study was to address a vacuum in the knowledge with regard to the acceptability of online meeting apps, such as GM and their role. Effectiveness in terms of utilizing GM and attitudes towards using GM are two factors that impact learners’ use of this app for educational purposes. While researchers have examined google meet application acceptance in a variety of contexts, perceived ease of use, perceived usefulness, effectiveness to utilize google meet and attitude towards using Google Meet as a mediating variable in measuring education has not been explored using the technology acceptance model (TAM). As a result, the study’s purpose was to create a new paradigm by merging TAM with external elements including subjective norms, task-technology fit, and quality of information. This study involved a total of 208 postgraduate students at College of Education at King Saud University. Students were polled using the structural equation modeling (SEM) approach to determine their approximate expectations with regard to online meeting adoption. According to the findings, subjective norms, perceived enjoyment, task-technology fit, and quality of information have a positive impact on perceived usefulness and perceived ease of use, which in turn has a positive impact on perceived usefulness and perceived ease of use, which finally leads to a positive effect on effectiveness to utilize GM and attitude towards using Google Meet towards adoption of GM during COVID-19. As a result, higher education institutions should promote the usage of online meeting tools, such as GM, as part of learning processes as a long-term strategy.
Saint Venant problem in linear piezoelectricity

In studying the behavior of piezoelectric material one has to handle with the two aspect related to their mechanical and electric properties. In this paper we give a complete and thorough analysis of the Saint Venant problem for linear elastic piezoelectric cylinders. It is well known that, from a mechanical point of view, the problem of determining the deformation of a cylinder once fixed the resultant forces acting on its bases can be solved in analytical form only under restrictive assumptions. In particular general solutions are available within the so called `Clebsh-Saint-Venant' hypothesis (T equals 0). This hypothesis we will use in our paper. In this way we are able to give the general solution for the problem of linear piezoelectricity in the case of a cylinder in contact with a medium with low permittivity, and the case in which the cylinder is in contact with conductors at an assigned potential. We find that it is possible to control in the first case Poisson effect, and in the second flexural deformation.
Near optimal antenna selection algorithm for MIMO systems under spatial correlated fading

This paper proposes a low complexity near optimal antenna selection scheme based on minimum error rate to improve the performance of multiple-input multiple-output (MIMO) systems. For the independent and identically distributed (i.i.d.) channel, it only needs a sorted QR decomposition compared with the optimal antenna selection algorithm, which requires an exhaustive search of the pseudo inverse of the channel matrix. For the correlated channel, the proposed algorithm achieves good performance by utilizing correlated matrix characteristic. The novel algorithms achieve good performance that is very close to the optimal algorithm, decrease the computational complexity greatly, improve the performance of the receivers, and almost no capacity loss. Simulation results demonstrate that the proposed antenna selection algorithm achieve excellent performance.
New Criteria on Delay-Dependent Stability for Lurie Type System with Time-Varying Delay

This paper study the problem of the stability analysis for Lurie type systems with time-varying delay. By exploiting a suitable Lyapunov-Krasovskii functional, new criteria on delay-dependent stability are derived. Some better results are obtained by using a delay partitioning approach and reciprocally convex technique. Finally, numerical examples are presented to illustrate the effectiveness and reduced conservatism of the obtain results.
Inductive Power Line Harvester With Flux Guidance for Self-Powered Sensors

Self-powered sensors are expected to enable new large-scale deployment and location access capabilities for sensor systems. Energy-harvesting devices have been shown to provide adequate power densities, but their dependence on very specific environmental conditions restricts their applicability. Energy harvesting from power line infrastructure offers an architecture for addressing this challenge because such infrastructure is widely available. In this article, an inductive power line harvester concept is presented based on a flux concentration approach adapted to a closed-loop core geometry. Flux concentration is studied by simulation, showing a 26% flux increase using a 1:3 geometrical concentration ratio in a closed-loop core. A $20\times 20\times25$ mm prototype with a U-shaped soft-core sheet and a 200-turn Cu coil around a 5-mm-diameter, 20-mm-long soft-core rod is introduced. The total device volume is 9.1 cm3. Characterization results on a power line evaluation setup for currents up to 35-A rms and a 50-Hz–1-kHz range are presented. Power between 2.2 mW (50 Hz) and 233 mW (1 kHz) is demonstrated on an ohmic load, from a 10-A rms power line current, employing impedance matching with reactance cancellation. The corresponding power densities are 0.24 and 25 mW/cm3 per total device volume. This performance is adequate for enabling self-powered wireless sensor networks installed along power distribution lines.
Populist platform strategies: a comparative study of social media campaigning by Nordic right-wing populist parties

ABSTRACT Social media platforms are increasingly becoming an important tool to mobilize populist right-wing issues and movements. This study provides comparative insights into the activity and engagement of right-wing populist parties on three social media platforms (Facebook, Instagram, and Twitter) in four Nordic countries (Sweden, Denmark, Norway, and Finland). Based on a quantitative analysis of social media data, we conclude that Facebook is the most successful platform for right-wing populists across all four countries and that the right-wing populists in Sweden have the strongest position across platforms. Furthermore, we explore the content of the most engaging status updates qualitatively to identify a potential set of populist platform strategies. We conclude that the right-wing populist platform strategies are not radically different from other parties though the populist agenda and anger-based style of communication may cater particularly well to the network media logics of each platform. This could explain the relative success of right-wing populist parties that we identify in all four Nordic countries, even though it is important to note that the success is only moderate in some cases with notable national variation.
Dual-Band Power Divider With Wide Passbands and Wide Harmonic Suppression Utilizing Multi-Mode T-Stub Loaded Slotline Resonators

This brief proposes a novel dual-wideband slotline power divider (DWSPD) with ultrawide stopband, which is suitable for the multi-band wireless communication system application. The proposed DWSPD is mainly constructed with two multi-mode T-stub loaded slotline resonators (MTSRs), four folded slotline structures (FSSs), four microstrip-slotline transitions and two isolation resistors. The MTSR can generate four transmission poles (TPs), which forms two wide passbands. Furthermore, the FSS contributes to four additional transmission zeros (TZs), which enhances the harmonic suppression. The fabricated DWSPD demonstrates the 3-dB fractional bandwidths of 45.3% @2.25 GHz and 47.1% @4.37 GHz and the stopband with a suppression more than 18 dB @ up to 40 GHz ( $17.8~f_{01}$ ). To the best of the author’s knowledge, the 3-dB FBWs and stopband achieve the best among the existing dual-band filtering power dividers (DBFPDs).
Emotion Expression in Human Body Posture and Movement: A Survey on Intelligible Motion Factors, Quantification and Validation

Many areas in computer science are facing the need to analyze, quantify and reproduce movements expressing emotions. This paper presents a systematic review of the intelligible factors involved in the expression of emotions in human movement and posture. We have gathered the works that have studied and tried to identify these factors by sweeping many disciplinary fields such as psychology, biomechanics, choreography, robotics and computer vision. These researches have each used their own definitions, units and emotions, which prevents a global and coherent vision. We propose a meta-analysis approach that cross-references and aggregates these researches in order to have a unified list of expressive factors quantified for each emotion. A calculation method is then proposed for each of the expressive factors and we extract them from an emotionally annotated animation dataset: Emilya. The comparison between the results of the meta-analysis and the Emilya analysis reveals high correlation rates, which validates the relevance of the quantified values obtained by both methodologies. The analysis of the results raises interesting perspectives for future research in affective computing.
A fuzzy clustering of multispectral images based on integrated spectral and spatial features

An unsupervised classification method in multispectral images based on a fuzzy clustering driven by integrated spectral and spatial features is presented. Spectral information can be obtained directly from pixel values in different frequency-band images, while spatial information can be extracted by mean of texture analysis. The images are spectrally decorrelated via the Karhunen-Loeve transform (KLT). The resulting first principal component image is then exploited by applying the gray-level co-occurrence matrices. A fuzzy clustering approach is finally performed based on the features that combine both spectral and spatial information on the image. The results of applying the algorithm to an urban area image are illustrated.
Molecular typing of fowl adenovirus associated with gizzard erosion in commercial layer grower chicken in Tamil Nadu

The present study was undertaken to characterize fowl adenovirus associated with commercial layer grower chicken showed gizzard erosion. Ninety four commercial layer grower chicken flocks from Namakkal districts of Tamil Nadu had shown reduced feed intake, reduced weight gain, uneven growth and mortality of 0.3 to 7.7%. On postmortem examination of affected birds showed mild to severe gizzard erosion, blackish discoloration of gizzard contents, pale liver and no major lesions were seen in other organs. Total DNA was extracted and 897 bp fowl adenovirus specific hexon gene was amplified by PCR. Out of 94 flocks screened seven flocks were found positive of fowl adenovirus. Chicken embryo liver cell culture was prepared to isolate field fowl adenovirus from suspected flocks. Concurrent infection of chicken anaemia virus (CAV) was also screened by PCR for 419 bp VP2 gene of CAV and found that all the seven flocks which were PCR positive for FAdV also found positive for CAV. Sequencing and phylogenetic analysis of 897 bp FAdV hexon gene revealed that, it was belonged to FAdV serotypes 2 and 3 of species D.
Taxonomy of Small and Medium Enterprises (SMEs) Constraints: An Analytical Perspective of Zimbabwe

Small and medium-sized enterprises (SMEs) in Zimbabwe are regarded as the most resilient and the backbone of the economy following years of capital flight since 2000 following the consummation of the fast tract land reform programme. Since then, major corporates disinvested, and this created a huge gap in the products and services supply chain, and the SMEs robustly emerged largely owned by the local people. This paper, however, has established that in as much as the SMEs have a critical role to play, government aided financing infrastructure is characterised by a plethora of policy and regulatory frameworks that limit growth and development of the SMEs to contribute significantly to the development of the economy. Using a review process as a methodology as part of an ongoing doctoral research in this field, the paper puts across that it is vitally important for Zimbabwe to put incentives from a policy and tax rebate point of view, including lessening the bureaucratic red-tape and rigidities that characterise SMEs loan application to access to capital. The various independent and dependent variables in this paper require an overhaul to ensure that the challenges that limit SMEs access to financing are addressed.
Accounting for Regressor-Error Dependencies in Educational Data: A Bayesian Mixture Approach

Because frequently random assignment is not feasible in educational studies, our understanding of causal effects of student characteristics on academic performance has made little progress over the years. Omitted variables inducing correlations between regressors and error terms in multilevel data are a major hurdle. If the independence assumption of regressors and error components is not met, standard multilevel regression models yield biased and inconsistent results. This paper focusses on within-level regressor-error dependencies, caused by omitted variables, which are difficult to diagnose and remedy when additional data in the form of instrumental variables are not available. Specifically, we develop a multilevel mixture model that can account for correlations between regressor and error terms. The proposed approach allows for different specifications such as choice- or self-selection models. We present a flexible Bayesian estimation method that can be adapted easily to researchers' specific needs. Investigating the relationship between IQ and educational performance, we find empirical support for self-selection effects that distort substantially the observed relation between these measures.
Transformational Style of Leadership and Psychological Capital: The Mediating Role of Work Engagement

Introduction/Main Objectives: This study aims to determine the direct effect of psychological capital on organizational citizenship behavior, psychological capital on work engagement, transformational leadership on organizational citizenship behavior, transformational leadership on work engagement, work engagement on organizational citizenship behavior. An indirect effect of psychological capital and transformational leadership on organizational citizenship behavior by mediating work engagement Background Problems: The times are increasingly rapid and dynamic, especially the challenges faced by companies, especially in developing countries, are getting bigger, and an organization must be able to adapt to environmental changes to survive and grow to achieve the goals of the organization, requiring support from internal and external factors that affect the organization to be managed properly and efficiently. Research Methods: The research method used is review of articles and literature studies sourced from journals and books. Finding/Results: The results of the hypothesis that the direct or indirect effect of psychological capital, transformational leadership, and work engagement on organizational citizenship behavior has a positive and significant impact. Conclusion Transformational leadership contributes to increasing employee self-efficacy, hope, resilience, and a sense of optimism. Transformational leadership and psychological capital are independently related to trust in management and impact individual and organizational performance. Still, they can also moderate each other, which will affect climate of an organization and work engagement.
Surprising Solid-State ESIPT Emission from Apparently Ordinary Salicyliden Glycinates Schiff Bases

Excited-State Intramolecular Photon Transfer (ESIPT) is known for the geometry-related phenolic and imine groups. The Schiff bases formed upon condensation of salicyl aldehyde and glycine led to the formation of ESIPT models. A series of alkali metal salicyliden glycinates were analyzed by X-ray diffraction of their monocrystals and spectroscopy measurements. The X-ray analysis revealed varied hydration levels between the salts. They adapted trans geometry on the imine groups and mostly anticlinal conformation with the neighboring atoms, which is different from the other structurally-related compounds in literature. Fluorescence of these compounds was found for the crystalline forms only. Protonation of the imine nitrogen atom and further proton distribution was consistent with the ESIPT theory, which also explained the observed fluorescence with the highest Stokes shift of 10,181 cm−1 and 10.1% of fluorescence quantum yield for the sodium salt.
The optimum strategy for mode choice modelling of interregional fish transport considering shippers' heterogeneity

The determinants of mode choice of interregional transport of fish, which is highly perishable, vastly differ from that of other commodities. These determinants are to be identified to improve transport efficiency. A questionnaire survey of shippers is used to collect the data. Highly correlated observed variables are combined to form four latent factors by factor analysis to reduce the errors in modelling. Logical relations among the component variables of latent factors are perceived, and mathematical formulations are used to estimate new variables. It is found that transportation costs and shipment weight contributes to factor 1, while distance contributes to factor 2. However, transportation costs are associated with distance and shipment weight. Thus, the variable, transportation cost per q-km, is estimated. Survey respondents' attitudes are also incorporated into modelling by including qualitative factors obtained by the factor analysis of shippers' preference ratings. A latent class analysis confirmed the existence of heterogeneity among ship-pers. Misrepresentations of effects occur in modelling if the heterogeneity in the data is not considered. No studies have found the best combination of observed variables, latent factors, estimated variables, and qualitative factors, consider-ing shippers' heterogeneity in freight mode choice. Hence, this study is done to find the optimum modelling strategy. Modelling revealed that models built with estimated variables outperformed those built with latent factors. Including qualitative factors along with observed variables and estimated variables showed further improvement. However, the model that includes observed variables, estimated variables, and qualitative factors considering shippers' heterogenei-ty is the best. It was found that the mode selection behaviour of different latent classes of shippers is distinct. A mode shift from road to rail could be achieved by lowering transportation costs and increasing speed, reliability, and safety for fish transport. Expanding roll on–roll off facilities, dedicated freight corridors, parcel trains, refrigerated contain-ers, and piecemeal service by rail promote a mode shift from road to rail and reduce energy usage.
A Symmetry-Insensitive Edge Enhancement Filter Incorporating Local Structure

A new non-linear edge enhancement filter is proposed which is insensitive to edge profile symmetry, but is sensitive to the local spatial coherence of the image. Because the filter is insensitive to profile symmetry, the response combination problem is avoided. The filter is suitable for enhancing edges in natural scenes, in which variations in illumination, surface reflectance and surface orientation result in a wide variety of edge profile symmetries. In most applications, filter response is then compared to a threshold to detect edges. The magnitude and orientation of the extremal directional second derivative of intensity at each pixel are first determined with the aid of the Krumbein transform. A histogram is then formed of the cumulative response over a small neighbourhood about each pixel as a function of orientation. One or more peaks in the histogram are found, and a representative magnitude and orientation computed. If the width of the histogram peak is sufficiently narrow and its magnitude is large enough, the pixel is assumed to lie on or near an edge. It is given a magnitude and orientation representative of the histogram peak. Peak width and magnitude are shown to be dependent on the presence of sufficient local evidence for an edge, thereby incorporating local structure. By accepting multiple histogram peaks, the algorithm is made to perform well near edge corners and intersections.
Robust optimization of cardiovascular stents: a comparison of methods

Modern engineering design contains both creative and analytic components. This paper discusses the design process and illustrates links between design optimization and conceptual design through the re-design of a cardiovascular stent. A comparison is presented of two methods for design improvement: genetic algorithms (GA) and model-based robust engineering design (RED). Computational fluid dynamics (CFD) models are used to generate measurements of the quality of competing designs based on the concept of dissipated power. Alternative performance measures are also discussed. Environmental noise is introduced into the analysis and consideration is given to the treatment of discrete and continuous design parameters. Improved designs are identified using both methods and verified with further CFD analyses, and the benefits of each method are discussed.