Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Influencing Satisfaction on Internship of Art Normal Students in Sichuan, China

This study aims to determine the significant impact of supervisor support, task clarity, service quality, perceived value, and student expectation on art student satisfaction on educational internship. This quantitative study conducted the data collection by distributing questionnaires. Before the data collection, the item-objective congruence (IOC) index was approved by three experts at a score above 0.5, and Cronbach’s alpha coefficient value of the pilot test was acceptable at above 0.7. The sampling methods used were purposive, stratified random, and convenience samplings. The data were analyzed by confirmatory factor analysis (CFA), and the hypotheses were tested by the structural equation model (SEM). The results showed that service quality, supervisor support, task clarity, and perceived value significantly impacted art students’ internship satisfaction. Service quality had the most substantial significant impact on art students' internship satisfaction. However, there was no causal relationship between student expectation and student satisfaction. In conclusion, universities and internship sites should focus on improving service quality, providing skilled supervisors, giving higher task clarity, and promoting values of the educational internship program to ensure student satisfaction.
Pleasure and Achievement: Dopamine and Endorphins

Dopamine is a well-known chemical that brings happiness to people and is responsible for signaling excitement and happiness. Dopamine is not only a key regulator of learning and motivation, but also a core substance that regulates the human body. Depression and Parkinson's disease are often associated with a lack of dopamine. Moreover, smoking is addictive, and its main mechanism is also closely related to dopamine: nicotine can cause a burst of dopamine neurons. Another substance with similar effects to dopamine is endorphins. Endorphins attach to morphine receptors and cause the same pain alleviation and pleasure that morphine and other opiates do, similar to a sense of accomplishment. Endorphins bring pleasure, but also lead to drug abuse. Opiate addiction is a severe public health issue that affects a huge proportion of population. People who take drugs produce dopamine and endorphins, and their mental dependence on drugs far exceeds the benefits of dopamine and endorphins.
Cytomegalovirus-Specific Immunotherapy for Glioblastoma Treatments

Over the last two decades, numerous studies have investigated the presence of human cytomegalovirus (CMV) within glioblastoma or gliomas; however, the results are severely conflicting. While a few researchers have suggested the potential benefits of cytotoxic T lymphocyte or dendritic cell-based vaccines for recurrent or newly diagnosed glioblastoma patients, several studies did not at all agree with the existence of CMV in glioblastoma cells. In this review, we summarized the conflicting results and issues about the detection of CMV in glioblastoma or glioma patients. We also provided the clinical data of published and unpublished clinical trials using CMV-specific immunotherapy for glioblastomas.
Sharp blow-up for semilinear wave equations with non-compactly supported data

This paper corrects Asakura's observation on semilinear wave equations with non-compactly supported data by showing a sharp blow-up theorem for classical solutions. We know that there is no global in time solution for any power nonlinearity if the spatial decay of the initial data is weak, in spite of finite propagation speed of the linear wave. Our theorem clarifies the final criterion on such a phenomenon.
Entanglement Structure of an Open System of N Quantum Oscillators: II. Strong Disparate Couplings N = 3

In this paper we study a system of N coupled quantum oscillators interacting with each other directly with varying coupling strengths and indirectly through linear couplings to a scalar massless quantum eld as its environment. The inuence of the quantum eld on the system is calculated with the use of the inuence functional formalism. We take the direct route of seeking solutions to the evolutionary operator of the reduced density matrix for the derivation of the correlation functions. They are then used to construct the covariance matrix which we use to perform an analysis of the structure of quantum entanglement in the open system at a stationary state. To see the physical features more explicitly we specialize to a system of three quantum coupled oscillators placed at the vertices of a equilateral triangle and allowed to have disparate pairwise couplings. We analyze the entanglement between one oscillator and the other two with equal (symmetric) and unequal (asymmetric) coupling strengths. As
Myths of Drug Consumption Decriminalization: Effects of Portuguese Decriminalization on Violent and Drug Use Mortality

There is scarce empirical evidence on the impacts of drug consumption decriminalization, especially, on problematic drug use and violence. In 2001, Portugal decriminalized the consumption of all illicit drugs. In this paper, we focus on determining the short, medium, and long-term impact of Portuguese decriminalization on mortality due to drug use and homicides, from both theoretical and empirical perspectives. We model drug consumption using an intertemporal consumption model and the decisions of trafficking firms to gain market share employing an optimization model. Our results suggest a non-linear effect of decriminalization on drug consumption risk and increasing incentives for firms to expand their market share employing violence after decriminalization. Empirically, we estimate a negative short-run effect on drug-related deaths and null long-run impacts of this legal reform. In terms of homicides, we find a positive effects in a range of 28.7%-34.2% in the medium- and long-term.
What Explains the Adoption of Mobile Wallets? A Study from Merchants’ Perspectives

Abstract The extant literature on mobile financial services indicates that the work on merchants’ adoption of mobile wallets is sporadic and under-researched. Taking into account the critical role of merchants in the mobile payment ecosystem, this study intends to study the factors that impact merchants’ intention to adopt mobile wallets. A comprehensive model combining the UTAUT model, TTF model, perceived trust, and price value was empirically tested using the PLS-SEM approach. The data was collected from 236 merchants in New Delhi, India. Among all the variables that are significant in impacting behavioral intention to use mobile wallets, the task-technology fit is the most important factor, followed by price value, perceived trust, performance expectancy, social influence, and facilitating conditions. Also, significant positive relationships were found between technology characteristics and task-technology fit, and task characteristics and task-technology fit. This study is an early attempt to elucidate merchants’ perspectives toward mobile wallets in India.
Very High Energy Cosmic Gamma Radiation: A Crucial Window on the Extreme Universe

Gamma ray astronomy, the branch of high energy astrophysics that studies the sky in energetic γ-ray photons, is destined to play a crucial role in the exploration of nonthermal phenomena in the Universe in their most extreme and violent forms. The great potential of this discipline offers impressive coverage of many “hot topics” of modern astrophysics and cosmology, such as the origin of galactic and extragalactic cosmic rays, particle acceleration and radiation processes under extreme astrophysical conditions, and the search for dark matter. The recent observational results and exciting theoretical predictions provide a strong rationale for a deep study of cosmic radiation with forthcoming satellite-borne and ground-based detectors in the so-called very high energy domain of the electromagnetic spectrum above 1010 eV.This invaluable book presents the motivations and highlights the principal objectives of the field, as well as demonstrates its intrinsic links to other branches of high energy astrophysics. Preference is given to three topical areas: (i) origin of cosmic rays; (ii) physics and astrophysics of relativistic jets; (iii) observational gamma ray cosmology. Also, an essential part of the book is devoted to the discussion of the principal mechanisms of production and absorption of energetic γ-rays in different astrophysical environments, as well as to the description of the detection methods of high energy cosmic γ-radiation.
THE EFFECT OF A GENRE-BASED PEDAGOGICAL APPROACH ON ORANG ASLI STUDENTS’ EFL WRITING PERFORMANCE

Purpose – In the 21st century, the importance of having good English proficiency in Malaysia and globally has impacted educators, especially in terms of their pedagogical practices. Although students are exposed to 11 years of English language instruction in Malaysia, Orang Asli students still possess low English proficiency and poor writing skills. This study aims to determine the extent to which the genre-based pedagogical approach is able to improve Orang Asli students’ English as a foreign language (EFL) writing performance and analyse their responses in using the genre-based pedagogical approach as a framework to improve their EFL writing performance. Methodology – This quasi-experimental study included 78 students from a secondary school in Pahang, Malaysia. Participants were assigned to the experimental and control groups (N=39) to generate students’ pretest and posttest scores. Quantitative data from the students’ questionnaire were also triangulated with qualitative data from the focus group discussions with the experimental group. Findings – The approach was effective in improving students’ descriptive writing and had a more significant effect than the mainstream process-based approach. Students reacted positively to the approach as they found it useful in improving their writing skills, which correlated with their improved test scores. Therefore, the genre-based pedagogical framework can be further enhanced by incorporating more grammar-related activities to meet the learning needs of Orang Asli students lacking in EFL writing skills. Significance – The novelty of this study is that the framework has the potential to be implemented in Malaysian secondary schools and other indigenous’ educational contexts. Furthermore, this study can be a point of reference to stakeholders, English language teaching (ELT) practitioners and educators in terms of advocating a genre-based pedagogical approach in an EFL context.
Teaching, Learning and Assessments (TLA) in Civil Engineering Laboratory Courses in Open Distance Learning (ODL) during Covid-19 Pandemic

The Covid-19 pandemic has brought about a true challenge to students and educators in the teaching, learning and assessment (TLA) of the psychomotor domain integral in laboratory experiment and design work. The pandemic has opened venues for open distance learning (ODL) with a completely new outlook for educators. The objective of this paper is to examine the suitability of the alternative TLA methods adopted in laboratory courses in ODL during the pandemic. Document review was carried out on various laboratory courses for a civil engineering programme in Universiti Teknologi MARA. The findings show that the assessment methods commonly used during ODL are individual and group reports, lab demonstration, video presentation, laboratory projects, online tests, individual online interviews, home-based mini projects, peer evaluation, and simulation using various software. Each alternative assessment was evaluated based on three (3) criteria which are the relevancy of knowledge, TLA activities, and suitability of the TLA activities to address the respective learning domain of the courses. Overall, the alternative assessment methods used during ODL were found to be relevant in imparting knowledge in laboratory courses, except for the development of specialist knowledge (WK4) as students are not able to utilize the equipment in the laboratory. Meanwhile, alternative activities are found less suitable to address the psychomotor domain imparted in the learning outcomes that involve specified equipment or machinery. Finally, the alternative assessments are found to effectively capture the cognitive skills and the programme outcomes related to knowledge application (PO1) and analysis (PO2) but are less effective in capturing investigation skills (PO4) addressing the psychomotor domain. © 2022, Asian Journal of University Education. All Rights Reserved.
Extraction conditions and identification of volatile organic compounds from umbu pulp by HS-SPME/GC-MS

Abstract despite the high social and economic importance of Spondias tuberosa Arruda, to the best of our knowledge there are very few detailed studies on the volatile compounds of this fruit popularly named umbu. Therefore, the aim of this study was to find the best extraction conditions by solid-phase microextraction in headspace mode (HS-SPME) to determine the volatile compounds from umbu fruit pulp by gas-chromatography coupled to mass spectrometry (GC-MS). The optimal conditions were obtained using 4 g of pulp and 0.2 NaCl/pulp (w/w), maintained for 10 min in incubation at 40 °C. The SPME-fiber was exposed for 20 min for extraction and then for 40 min for desorption. Thus, a total of 25 volatile compounds were detected and 16 were identified under these conditions, with 9 compounds being identified for the first time in the volatile fraction of umbu fruit pulp and two compounds were identified for the first time in the Spondias genus. The major chemical class was terpenes and esters, which together represent more than 90% of total chromatographic area.
Measurements of long-range azimuthal anisotropies and associated Fourier coefficients for pp collisions at root s=5.02 and 13 TeV and p plus Pb collisions at root(NN)-N-s=5.02 TeV with the ATLAS detector

ATLAS measurements of two-particle correlations are presented for √ s = 5 . 02 and 13 TeV pp collisions and for √ s NN = 5 . 02 TeV p + Pb collisions at the LHC. The correlation functions are measured as a function of relative azimuthal angle (cid:2)φ , and pseudorapidity separation (cid:2)η , using charged particles detected within the pseudorapidity interval | η | < 2 . 5. Azimuthal modulation in the long-range component of the correlation function, with | (cid:2)η | > 2, is studied using a template ﬁtting procedure to remove a “back-to-back” contribution to the correlation function that primarily arises from hard-scattering processes. In addition to the elliptic, cos(2 (cid:2)φ ), modulation observed in a previous measurement, the pp correlation functions exhibit signiﬁcant cos(3 (cid:2)φ ) and cos(4 (cid:2)φ ) modulation. The Fourier coefﬁcients v n,n associated with the cos( n(cid:2)φ ) modulation of the correlation functions for n = 2–4 are measured as a function of charged-particle multiplicity and charged-particle transverse momentum. The Fourier coefﬁcients are observed to be compatible with cos( nφ ) modulation of per-event single-particle azimuthal angle distributions. The single-particle Fourier coefﬁcients v n are measured as a function of charged-particlemultiplicity,andcharged-particletransversemomentumfor n = 2–4.Theintegratedluminosities used in this analysis are, 64 nb − 1 for the √ s = 13 TeV pp data, 170 nb − 1 for the √ s =
Prognostic Value of Catestatin in Severe COVID-19: An ICU-Based Study

Catestatin is a pleiotropic peptide with a wide range of immunomodulatory effects. Considering that patients with a severe COVID-19 infection have a major immunological dysregulation, the aim of this study was to evaluate catestatin levels in patients with COVID-19 treated in the intensive care unit (ICU) and to compare them between the fatal and non-fatal outcomes. The study included 152 patients with severe COVID-19, out of which 105 had a non-fatal outcome and 47 had a fatal outcome. Serum catestatin levels were estimated by an enzyme-linked immunosorbent assay in a commercially available diagnostic kit. The results show that catestatin levels were significantly lower in the fatal group compared to the non-fatal group (16.6 ± 7.8 vs. 23.2 ± 9.2 ng/mL; p < 0.001). Furthermore, there was a significant positive correlation between serum catestatin levels and vitamin D levels (r = 0.338; p < 0.001) while there was also a significant positive correlation between serum catestatin levels and growth differentiation factor-15 (GDF-15) levels (r = −0.345; p < 0.001). Furthermore, multivariate logistic regression showed that catestatin, GDF-15 and leukocyte count were significant predictors for COVID-19 survival. These findings imply that catestatin could be playing a major immunomodulatory role in the complex pathophysiology of the COVID-19 infection and that serum catestatin could also be a predictor of a poor COVID-19 outcome.
Updates in the Management of Mild Cognitive Impairment and Alzheimer Disease.

LEARNING OBJECTIVES At the end of the activity, participants will be able to:Implement evidence-based methods for cognitive impairment screening in primary care. Identify correct diagnostic criteria for mild cognitive impairment (MCI) and Alzheimer disease (AD) based on current guideline recommendations. Design appropriate and effective treatment plans for patients with MCI and AD and refer to a specialist when necessary. Describe advances in testing and treatment for AD that may impact dementia care.
Social Engagement, Gender Diversity and Employee Performance of the Tanzanian Textile Industry

Businesses operate in an uncertain environment and their survival depends on employee performance. However, the underperformance of employees in some organizations can be due to several important factors, including social engagement and gender diversity. This study investigated the influence of social engagement on employee performance, considering the mediation effect of gender diversity. Questionnaires were distributed to a sample size of 618 employees, and the response rate was 89.6%, that is, 554 employees from textile firms in four Tanzanian regions (Dar es Salaam, Mwanza, Shinyanga, Simiyu). Participants were sampled using a multistage sampling technique. Descriptive and structural equation model were used for data analysis. The findings revealed that social engagement had a significant positive influence on employees’ adaptive, contextual and task performance, while gender diversity partially mediated the influence of social engagement on contextual and task performance. Among others, the article recommends that managers should encourage employees to show concern and care for one another’s opinions and wellbeing and respect for individual values. The promotion of gender diversity among engaged employees can also potentially boost performance.
Android Spyware Detection Using Machine Learning: A Novel Dataset

Smartphones are an essential part of all aspects of our lives. Socially, politically, and commercially, there is almost complete reliance on smartphones as a communication tool, a source of information, and for entertainment. Rapid developments in the world of information and cyber security have necessitated close attention to the privacy and protection of smartphone data. Spyware detection systems have recently been developed as a promising and encouraging solution for smartphone users’ privacy protection. The Android operating system is the most widely used worldwide, making it a significant target for many parties interested in targeting smartphone users’ privacy. This paper introduces a novel dataset collected in a realistic environment, obtained through a novel data collection methodology based on a unified activity list. The data are divided into three main classes: the first class represents normal smartphone traffic; the second class represents traffic data for the spyware installation process; finally, the third class represents spyware operation traffic data. The random forest classification algorithm was adopted to validate this dataset and the proposed model. Two methodologies were adopted for data classification: binary-class and multi-class classification. Good results were achieved in terms of accuracy. The overall average accuracy was 79% for the binary-class classification, and 77% for the multi-class classification. In the multi-class approach, the detection accuracy for spyware systems (UMobix, TheWiSPY, MobileSPY, FlexiSPY, and mSPY) was 90%, 83.7%, 69.3%, 69.2%, and 73.4%, respectively; in binary-class classification, the detection accuracy for spyware systems (UMobix, TheWiSPY, MobileSPY, FlexiSPY, and mSPY) was 93.9%, 85.63%, 71%, 72.3%, and 75.96%; respectively.
Bots’ Activity on COVID-19 Pro and Anti-Vaccination Networks: Analysis of Spanish-Written Messages on Twitter

This study aims to analyze the role of bots in the dissemination of health information, both in favor of and opposing vaccination against COVID-19. Study design: An observational, retrospective, time-limited study was proposed, in which activity on the social network Twitter was analyzed. Methods: Data related to pro-vaccination and anti-vaccination networks were compiled from 24 December 2020 to 30 April 2021 and analyzed using the software NodeXL and Botometer. The analyzed tweets were written in Spanish, including keywords that allow identifying the message and focusing on bots’ activity and their influence on both networks. Results: In the pro-vaccination network, 404 bots were found (14.31% of the total number of users), located mainly in Chile (37.87%) and Spain (14.36%). The anti-vaccination network bots represented 16.19% of the total users and were mainly located in Spain (8.09%) and Argentina (6.25%). The pro-vaccination bots generated greater impact than bots in the anti-vaccination network (p < 0.000). With respect to the bots’ influence, the pro-vaccination network did have a significant influence compared to the activity of human users (p < 0.000). Conclusions: This study provides information on bots’ activity in pro- and anti-vaccination networks in Spanish, within the context of the COVID-19 pandemic on Twitter. It is found that bots in the pro-vaccination network influence the dissemination of the pro-vaccination message, as opposed to those in the anti-vaccination network. We consider that this information could provide guidance on how to enhance the dissemination of public health campaigns, but also to combat the spread of health misinformation on social media.
Serum Adipocyte Fatty-Acid Binding Protein as an Independent Marker of Peripheral Artery Disease in Patients with Type-2 Diabetes Mellitus

The adipocyte fatty-acid binding protein (A-FABP) is predominantly expressed in macrophages and adipocytes and is an essential mediator of inflammation and atherosclerosis pathogenesis. Atherosclerosis is an aggravating factor for peripheral arterial disease (PAD). Our study intended to study the association between PAD and serum A-FABP levels in type-2 diabetes mellitus (T2DM) patients. One hundred and twenty T2DM subjects were enrolled in the study. Fasting blood samples were collected to determine biochemical data and A-FABP levels. By the automatic oscillometric method, the ankle–brachial index (ABI) was measured. Low ABI was defined as any value < 0.9. Twenty participants with T2DM (16.7%) were included in the low ABI group. Low ABI T2DM participants had an increased mean body mass index, body fat mass, systolic blood pressure, C-reactive protein, urine albumin–creatinine ratio, and A-FABP levels compared to those in the normal ABI group. After variables significantly associated with PAD were adjusted by multivariate logistic regression analyses, circulating A-FABP levels (odds ratio [OR]: 1.138; 95 percent confidence interval [CI]: 1.023–1.266; p = 0.017) were identified as the independent marker of PAD. In conclusion, fasting serum A-FABP value has positive association with PAD in T2DM patients.