Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationships of the Big Five Personality with Self-Esteem and Emotion Understanding in Students from Visual Arts High Schools and General Education High Schools

The problem of the present study was defined as follows: What personality characteristics were predictors of emotion understanding and self-esteem in students of visual arts high schools and general education high schools. The problems discussed in this article have important implications for the effective functioning of artistically gifted youth in the school environment and for the optimization of their development in various areas of activity. Students of visual arts and general education high schools (N = 440) aged 15–18 (M = 16.88, SD = 0.81) in Poland were surveyed. The participants completed Costa and McCrae’s NEO-FFI, Rosenberg’s Self-Esteem Scale (SES), and Matczak and Jaworowska’s Emotion Understanding Test (TRE). Enter regression analysis was conducted. The results showed that in the group of visualarts high school students neuroticism, extraversion, and conscientiousness were significant predictors of self-esteem, while neuroticism and openness to experience were predictors of emotion understanding. In the group of high school students who pursued a general educationcurriculum, self-esteem was statistically significantly predicted by neuroticism and conscientiousness. Significant predictors of emotion understanding in this group of students included neuroticism, extraversion, openness to experience, and agreeableness. These findings demonstrate that the students functioned differently in the school setting depending on the educational curriculum they were following. The results of the present study can be used to formulate practical educational guidelines.
Popcorn in the pain clinic: A content analysis of the depiction of patients with chronic pain and their management in motion pictures

ABSTRACT The watching of films is popular and accessible to broad segments of the population. The depiction of medical conditions in films has the potential to affect the public’s perception of them and contribute to stereotypes and stigma. We investigated how patients with chronic pain and their management are depicted in feature films. Films that contained characters with or references to chronic pain were searched for using databases such as the International Movie Database. Themes that emerged from the content analysis revolved around the films’ depictions of characters with pain, their health care providers, and therapies for pain management. Patients with chronic pain were depicted in various ways, including in manners that could elicit empathy from audiences or that might contribute to the development of negative stereotypes about them. The attitudes of health care professionals toward patients with chronic pain ranged from compassionate to dispassionate. Pain management was typically depicted as lacking in breadth or using multidisciplinary approaches with a focus on pharmacological management. The variety of topics related to chronic pain depicted in feature films lends to their use in medical education strategies to better inform health care professions trainees about chronic pain management.
Review and Prospect of Employee Contextual Performance Research

With the advent of the knowledge-based economy, market competition has become increasingly fierce and employees' job roles have become increasingly blurred, so employee contextual performance plays an increasingly important role. The strength of contextual performance is a key factor affecting whether employees and organizations can achieve sustainable development, and how to maximize employee contextual performance is one of the important issues of concern to both theoretical and corporate communities. In this paper, we review existing contextual performance research, sort out the concepts and dimensions of contextual performance, antecedent variables, and outcome variables, and propose future research directions for contextual performance in response to the shortcomings of existing contextual performance. It provides insights for subsequent scholars' research on contextual performance and the contextual performance management of corporate employees.
Transformer-Based Long Distance Fiber Channel Modeling for Optical OFDM Systems

The fiber channel model plays an essential role in the simulation and design of optical fiber communication systems. However, it is difficult for conventional model-driven modeling to balance accuracy and efficiency, especially in optical orthogonal frequency division multiplexing (OFDM) systems with complex and long-haul transmission. We introduce the simplified Transformer into optical OFDM systems and combine it with the feature decoupled distributed (FDD) scheme for fast and accurate fiber channel modeling. Unlike the popular Transformer architectures, we remove the Decoder part and cancel the self-attention with quadratic complexity, significantly reducing the computational cost. The modeling performance is investigated from the nonlinear fitting capability, accuracy, and generalization ability. The transmission distance ranges from 80 km to 1600 km. The highly matched four-wave mixing (FWM) power, low error vector magnitudes (EVMs), and similar signal-noise ratios (SNRs) demonstrate the high precision and robustness of the model. Furthermore, the modeling is studied under different transmission rates and is proved to be reliable over a wide transmission bandwidth. Compared to the bidirectional long short-term memory (Bi-LSTM), the Transformer performs better in accuracy and has lower computational and memory costs. For modeling under the same conditions, the required running time of the Transformer is about 60% of Bi-LSTM, less than 1% of the split-step Fourier method (SSFM). The Transformer-based method achieves high precision modeling of the fiber channel in the long-distance and high-rate optical OFDM system and makes a significant breakthrough in complexity.
Influence of laboratory-controlled ethanolic wheatgrass extract on acetic acid-induced changes in biochemical and antioxidant indices in the colitis of Wistar rats

Introduction and Aim: Triticum aestivum (wheatgrass) is a good source of mineral nutrients and antioxidant enzymes. It also acts as a detoxifying agent and helps to revive healthy cells. The present study aimed to assess the effects of acetic acid on biochemical and antioxidant indices in the colitis of Wistar rats using an ethanolic extract derived from the dried shoots of wheatgrass maintained under specified growth conditions. Materials and Methods: Aqueous and ethanolic extract of wheatgrass was subjected to preliminary phytochemical screening and in-vitro antioxidant activity. Effects of the ethanolic wheatgrass extract were investigated in the acetic acid-induced rat colitis model. Sulphasalazine was used as the standard anti-inflammatory drug. Malondialdehyde (MDA), myeloperoxidase (MPO), total antioxidant capacity (TAC), catalase (CAT), and reduced glutathione (GSH) levels were estimated in the rat blood. Colitis was quantified with a clinical score and colon length/weight index was measured. Histopathological analyses were also performed on the colon tissue of rats. Results: The presence of phytochemical elements such as saponins, tannins, alkaloids, and terpenes in aqueous and ethanolic wheatgrass extract was discovered. These compounds have the potential to boost antioxidant and anti-inflammatory effects. The ethanolic extract significantly reduced MDA, MPO, and antioxidant levels (TAC, CAT, and GSH) in colon tissue and blood. Biochemical measurements corroborated the conclusions of histopathological investigation. Conclusion: According to macroscopic, microscopic, histological, and other biochemical studies, ethanolic wheatgrass extract significantly inhibits experimental colitis in rats.
Use of Padé Approximations in the Analytical Evaluation of the J(θ,β) Function and Its Temperature Derivative

For the first time, analytical forms have been obtained for the finite resonance integral J([theta],[beta];x[sub 1],x[sub 2]) through the use of Pade approximations for the complex probability function. The analytical forms are in terms of elementary functions. The authors have investigated several 2-pole, 3-pole, and 4-pole Pade approximations, and of these, the 4-pole evaluation reproduces J([theta],[beta]) with the best accuracy. The authors have also indicated how analytical forms for the temperature derivative of J([theta],[beta]) may be obtained and discuss their utility.
Multi-detector computed tomography evaluation of synchronous hepatocellular carcinoma and other solid malignancies

Aim of the study To review the findings of multi-detector computed tomography (MDCT) in synchronous hepatocellular carcinoma (HCC) and other solid malignancies. Material and methods A total of 74 cases were included in this retrospective analysis, all of them confirmed with a diagnosis of synchronous HCC and other solid malignancies. They were 41 women and 33 men (mean age, 63.36 years). The whole body and triphasic abdominal CT scanning utilized 128 MDCT scanners in all 74 patients. The pathological diagnoses of all 148 malignancies were confirmed in all 74 cases. Results Out of 3480 patients with HCC, 74 patients (2.1%) were diagnosed with another synchronous primary solid malignancy. The pathology of all 148 cancers was verified, and each one was correctly characterized, assessed, and staged. Hepatocellular carcinoma was detected in all 74 patients. The most frequent extra-hepatic primary malignant sites were breast (18/74, 24.3%), followed by kidney (15/74, 20.3%), lymphoma (9/74, 12.2%), uterus (7/74, 9.5%), ovary (5/74, 6.8%), colon (5/74, 6.8%), prostate (5/74, 6.8%), urinary bladder (3/74, 4.1%), thyroid (2/74, 2.7%), gall bladder (1/74, 1.4%), stomach (1/74, 1.4%), pancreas (1/74, 1.4%), esophagus (1/74, 1.4%) and lung (1/74, 1.4%). Conclusions The possibility of synchronous double malignancies with HCC should always be considered during pretreatment evaluation. Using an MDCT scanner, researchers were able to assess this occurrence accurately. An increased number of such findings may lead to an improved therapeutic method for these patients.
Effect of external stress anisotropy on the ferromagnetic resonance properties in thin film

Effects of in-plane and out-of-plane external stress anisotropy of ferromagnetic thin film with in-plane and out-of-plane uniaxial anisotropy on the ferromagnetic resonance frequencies have been theoretically investigated by using ferromagnetic resonance method. It is shown that resonance frequency can be enhanced by increasing in-plane external stress anisotropy field and uniaxial anisotropy field, decreasing out-of-plane uniaxial anisotropy field. For out-of-plane external stress case, however, the resonance frequency and two critical fields have no significant change. Also, compared with the case of the in-plane external stress anisotropy, the FMR frequencies are smaller. Additionally, interesting features are obtained for the stress case and compared with the case of without stress. The obtained results provide further insights on the effect of external stress on the properties of ferromagnetic thin film.
NEW PROBES OF INTERGALACTIC MAGNETIC FIELDS BY RADIOMETRY AND FARADAY ROTATION

The energy injection of galactic black holes (BH) into the intergalactic medium via extragalactic radio source jets and lobes is sufficient to magnetize the IGM in the filaments and walls of Large Scale Structure at or more. It appears that this process of galaxy-IGM feedback is the primary source of IGM cosmic rays(CR) and magnetic field energy. Large scale gravitational infall energy serves to re-heat the intergalactic magnetoplasma in localities of space and time, maintaining or amplifying the IGM magnetic field, but this can be thought of as a secondary process. I briefly review observations that confirm IGM fields around this level, describe further Faraday rotation measurements in progress, and also the observational evidence that magnetic fields in galaxy systems around z
Combination Attacks and Defenses on SDN Topology Discovery

The topology discovery service in Software-Defined Networking (SDN) provides the controller with a global view of the substrate network topology, allowing for central management of the entire network. Unfortunately, emerging topology attacks can poison the network topology and result in unforeseeable disasters. Although researchers have made great efforts to mitigate this problem, security hazards still exist. In this paper, we propose Invisible Assailant Attack (IAA), the first combination topology attack capable of injecting and maintaining fake links even when 12 existing defense strategies are deployed simultaneously. IAA consists of 14 attack phases that apply multiple attack strategies. Attackers skillfully disguise the attack traffic in each phase so that it looks like normal network traffic, and perform these phases in a well-planned sequence, thereby bypassing existing defenses step by step. To mitigate this attack, we propose a Route Path Verification (RPV) mechanism that orchestrates multiple defense strategies to identify fake links. According to the experiments, RPV can successfully detect IAA with low overhead: its detection completes within 1 ms while its per-flow storage consumption is only a few KB.
Host plants affect the susceptibility of Spodoptera exigua to its homologous nucleopolyhedrovirus: role of chitin synthase and intestinal mucin in the peritrophic matrix

ABSTRACT Host plants have an effect on the susceptibility of lepidopteran insects to nucleopolyhedrovirus (NPV), but the role of the protein in peritrophic membrane (PM) of larvae has not been investigated. We determined a key PM gene (SeIIM8 gene) in Spodoptera exigua (Hübner), which plays a role in protecting against NPV infection. Then we quantified the activity of chitin synthase (SeCHS), the content of insect intestinal mucin (SeIIM) and the expression of their genes in S. exigua fed one of four foods (artificial diet, Brassica oleracea (L.), Glycine max (L.), or Ipomoea aquatica (Forsskal)) with or without inoculation of Spodoptera exigua multiple nucleopolyhedrovirus (SeMNPV). Our results showed that the larval mortality was highest for NPV-infected with siRNA-injected larvae, intermediate for NPV-infected larvae, and lowest for uninfected larvae. The SeCHS activity, SeIIM content, and their relative gene expressions of S. exigua fed G. max or artificial diet were lower compared to caterpillars fed other diets. The relative SeCHS and SeIIM8 gene expression levels of larvae depended on the interaction of NPV treatment, diet, and time. This study concluded that plants affected the susceptibility of insects to NPV by altering the enzyme activity and gene expression of insects.
Stakeholder engagement strategies assessment in expanded public works programme

South Africa has evolved and defeated a blemished past of apartheid before 1994. Even after 27 years of democracy, South Africa has been struggling to stabilise economic markets with continued control by the white minority that marginalised the black community. The unemployment rate in the Province of the Eastern Cape in South Africa has grown from 28.5% in 1993 to 45.8% in quarter 3 of 2020 (ECSECC, 2020). Set targets have not been met since 2018, with programmes implemented not attractive nor conducive for the targeted youth and persons with disabilities. The study critically evaluated the existence and the extent of stakeholder management strategies in the Expanded Public Works Programme (EPWP) within the Eastern Cape Department of Transport and the effects of not meeting the set youth and persons with disabilities targets over the years. To gain lived experiences of beneficiaries, a case study of the household Contractor Programme was used in three districts through group semi-structured interviews with non-probability purposive sampling used to select respondents using a primary data collection instrument. Data received was analysed with themes using a descriptive analysis approach to narrate the lived experiences of participants within EPWP. Results revealed a need for improved stakeholder diversity and inclusion, communication with stakeholders, management oversight, policy guidance, monitoring and evaluation within EPWP projects.
Memristive Switching and Density-Functional Theory Calculations in Double Nitride Insulating Layers

In this paper, we demonstrate a device using a Ni/SiN/BN/p+-Si structure with improved performance in terms of a good ON/OFF ratio, excellent stability, and low power consumption when compared with single-layer Ni/SiN/p+-Si and Ni/BN/p+-Si devices. Its switching mechanism can be explained by trapping and de-trapping via nitride-related vacancies. We also reveal how higher nonlinearity and rectification ratio in a bilayer device is beneficial for enlarging the read margin in a cross-point array structure. In addition, we conduct a theoretical investigation for the interface charge accumulation/depletion in the SiN/BN layers that are responsible for defect creation at the interface and how this accounts for the improved switching characteristics.
Length functions of Grothendieck categories with applications to infinite group representations

Let R be a ring, let G be a countable amenable group and let RG be a crossed product. The goal of this paper is to construct, starting with a suitable length function L on the category of left modules over R, a length function on a subcategory of the category of left modules over RG, which coincides with the whole category if LpRRq ă 8. This construction can be performed using a dynamical invariant associated with the original length function L, called algebraic L-entropy. We apply our results to two classical problems on group rings: the Stable Finiteness and the Zero-Divisors Conjectures.
Nonorthogonality Correction Method for a Two-Phase Semiimplicit Algorithm on a Polyhedral Unstructured Mesh

Nonorthogonality is often encountered in structured or unstructured mesh generation for computational fluid dynamics (CFD). A flow solution from CFD can degenerate because of mesh nonorthogonality. Sometimes, it is difficult to obtain a converged solution because of a numerical instability originating from a nonorthogonal mesh, especially in the case of a two-phase flow analysis. In this study, a method for nonorthogonality correction of a pressure-correction equation is proposed for application to a two-phase implicit continuous Eulerian (ICE) algorithm. In the case of a two-phase flow with buoyant force, a pressure gradient must be carefully reconstructed. A density-weighted interpolation of the pressure can be used for the pressure gradient, but it may generate an erroneous solution. Effort was devoted to improve the method and implement it for a general polyhedral mesh. The methods are implemented in the CUPID code and tested by solving conceptual two-phase flow problems.
Enhancement of the physical parameters due to the dispersion of functionalised gold nanoparticles in a room temperature nematic liquid crystal

ABSTRACT A room temperature nematic liquid crystal (N-3017) mixed with surface-stabilised gold nanoparticles was examined for its thermodynamic, dielectric, and electro-optical properties. The isotropic to nematic transition temperature decreases in both the nanocomposites as compared to that of the pure nematic material, according to thermodynamic findings. In the frequency range of 1 Hz to 40 MHz, dielectric data of both the dispersed nanocomposites in homeotropic and planar aligned samples are collected. The dispersion of capped GNPs enhanced the dielectric anisotropy of the dispersed nanocomposites, according to the dielectric results. As the quantity of capped GNPs in the host matrix increases, the threshold voltage for LC reorientation decreases due to the decreased elastic constant and increased dielectric anisotropy. The dielectric study also signifies a prominent relaxation mode due to the flip-flop motion of the nematic molecules about their short axes. To analyse this mode, experimental data have been fitted with the modified Cole–Cole equation. This removes the parasitic effects in the low- and high-frequency domains. GRAPHICAL ABSTRACT
High confidence AGN candidates among unidentified Fermi-LAT sources via statistical classification

The second Fermi-LAT source catalog (2FGL) is the deepest survey of the gamma-ray sky ever compiled, containing 1873 sources that constitute a very complete sample down to an energy flux of about 10^(-11) erg cm^(-2) s^(-1). While counterparts at lower frequencies have been found for a large fraction of 2FGL sources, active galactic nuclei (AGN) being the most numerous class, 576 gamma-ray sources remain unassociated. In these proceedings, we describe a statistical algorithm that finds candidate AGNs in the sample of unassociated 2FGL sources by identifying targets whose gamma-ray properties resemble those of known AGNs. Using two complementary learning algorithms and intersecting the high-probability classifications from both methods, we increase the confidence of the method and reduce the false-association rate to 11%. Our study finds a high-confidence sample of 231 AGN candidates among the population of 2FGL unassociated sources. Selecting sources out of this sample for follow-up observations or studies of archival data will substantially increase the probability to identify possible counterparts at other wavelengths.
Some problems arising in the implementation of distributed-delay control laws

We study the problems raised by the implementation of a control law including distributed-delay, i.e. a finite integral over the time, such as /spl int//sub 0//sup 1/ x(t-/spl tau/)d/spl tau/. These delays appear in control laws allowing the finite spectrum assignment for time-delay systems, but cannot be exactly implemented on a digital computer. We study some problems that arise when using numerical quadrature methods to implement such control laws.
Probability Distribution of Returns in Heston Model And Hurst Exponent Estimation for Index Prices of FTSE Bursa Malaysia KLCI

In this study, the probability distribution of returns for the index prices of FTSE Bursa Malaysia KLCI based on the Heston Model with stochastic variance is constructed to analyse its capability in describing the returns. The values of parameters in Heston Model of the index prices of FTSE Bursa Malaysia KLCI have been estimated using Simulated Maximum Likelihood method. Euler-Maruyama method has been used to approximate the solutions of the stochastic differential equation. It is found that for complete set of the data, the probability distribution of log returns for closing prices of FTSE Bursa Malaysia KLCI fitted the theoretical curve better at time lag, t=1 and 20. In addition, we used Hurst exponent to measure the existing of long range dependence of time series towards the real data.
Overview of the implementation of Sustainable Development Goal One in South Africa

Sustainable Development Goal (SDG) One aims to eradicate poverty in all its manifestations across the world. The key study question to be theoretically explored is "how can the South African government's commitment to the UN Post-2015 Agenda and the National Development Plan (NDP): Vision 2030 be realised to accomplish Sustainable Development Goal One? ". The research method used in the article is qualitative. The data were gathered through literature and document reviews, and conceptual analysis was employed to analyze the data. The findings show that the government has put in place a variety of legal frameworks, including the NDP, as well as social protection actions, to address SDG One implementation. However, for poverty reduction programmes to be successfully executed, problems like the high unemployment rate, job losses brought on by COVID-19, corruption straining taxpayers' finances, and other difficulties need to be addressed. The article presents recommendations in a country-specific context based on the findings to eliminate poverty and achieve SDG One.