Miracle-dz/UniFAR-FTUs huggingface dataset:
EEG Power Band Asymmetries in Children with and without Classical Ensemble Music Training

Much evidence shows that music training influences the development of functional brain organization and cerebral asymmetry in an auditory-motor integrative neural system also associated with language and speech. Such overlap suggests that music training could be used for interventions in disadvantaged populations. Accordingly, we investigated neurofunctional changes associated with the influence of socially based classical ensemble music (CEM) training on executive auditory functions of children from low socioeconomic status (LSES), as compared to untrained counterparts. We conducted a novel ROI-focused reanalysis of stimulus-locked event-related electroencephalographic (EEG) band power data previously recorded from fifteen LSES children (9–10 years), with and without CEM, while performing a series of auditory Go/No-Go trials (involving 1100 Hz or 2000 Hz tones). An analysis of collapsed Alpha2, Beta1, Beta2, Delta, and Theta EEG bands showed significant differences in increased and decreased left asymmetry between the CEM and the Comparison group in key frontal and central electrodes typically associated with learning music. Overall, in Go trials, the CEM group responded more quickly and accurately. Linear regression analyses revealed both positive and negative correlations between left hemispheric asymmetry and behavioral measures of PPVT score, auditory sensitivity, Go accuracy, and reaction times. The pattern of results suggests that tone frequency and EEG asymmetries may be attributable to a shift to left lateralization as a byproduct of CEM. Our findings suggest that left hemispheric laterality associated with ensemble music training may improve the efficiency of productive language processing and, accordingly, may be considered as a supportive intervention for LSES children and youth.
Quantifying brown carbon light absorption in real-world biofuel combustion emissions

Abstract Biofuel combustion is an important source of particulate light absorbing organic carbon (OC), also known as brown carbon (BrC). We applied spectrophotometry to characterize methanol-extracted BrC from emission tests of ‘real-world’ biofuel combustion in India and Malawi, including wood stoves (‘traditional’, ‘improved’ and ‘chimney’) and artisanal charcoal kilns. Average mass absorption coefficient (MACbulk,λ) of extracted BrC was highest for ‘traditional’, followed by ‘improved’, ‘chimney’, and ‘charcoal’, at near-ultraviolet to blue wavelengths, with this order reversed for BrC absorption Angstrom exponent (AAE). MACbulk,λ in UV wavelengths was positively correlated with the elemental carbon to organic aerosol ratio (EC/OA), though the correlation was weaker than that observed in laboratory cookstove samples. BrC imaginary refractive indices (k) were anti-correlated with wavelength dependence (w), thus less wavelength dependent BrC had higher light absorptivity. MACbulk,λ correlated with the fraction of OC evolving at higher temperature steps in thermo-optical analysis, consistent with a link between BrC absorptivity and OC volatility, and suggesting that BrC absorption may be parameterized using existing OC data. Modeling analyses showed that BrC makes a strong contribution to overall absorption (average of 48% to 80% at 365 nm), and a strong negative correlation between EC/OA and the relative contribution of BrC to total aerosol (BrC + BC) light absorption; the latter trend is dominated by the quantity versus optical properties of BrC. The estimated direct radiative effect of BrC is approximately equal to that of BC for biofuel combustion emissions in India, highlighting the importance of BrC in the climate energy budget. Copyright © 2022 American Association for Aerosol Research
A cross-sectional study on reading among young L1 and L2 students in Sweden

ABSTRACT According to the Simple View of Reading, decoding and linguistic comprehension are essential for reaching efficient reading comprehension. Students with Swedish as a first (L1) or second language (L2) in grades 1–3 might need special support to develop reading comprehension. In order to identify needs in reading in L1 and L2 students, the current study aimed to investigate how they perform in screening tests measuring vocabulary, decoding, and reading comprehension in Swedish. The present study has a cross-sectional design and includes over 46,000 students who followed the curriculum for Swedish as a first or as a second language. Data consisted of decoding, vocabulary, and reading comprehension tests, which were statistically analysed. The results showed that L2 students in grades 1–3 had significantly weaker decoding, vocabulary, and reading comprehension than L1 students. A performance below average in the tests indicates a need for extra support in reading which a significantly higher proportion of L2 students had compared to L1 students. Therefore, screening and systematic reading instructions are crucial to promoting reading development among L1 and L2 students.
EARLY ONLINE RELEASE

10 The number concentrations of microbial (counted as viable) particles and size- 11 separated particles were measured continuously in Imizu City, Toyama, in the coastal 12 region of the Sea of Japan, in 2015 using a commercial real time viable particle counter. 13 From February to June, large increases in the number concentrations of coarse particles 14 with rapid increases of viable particles were observed during Asian dust events. In mid- 15 July, a phenomenon was observed in which the number concentrations of viable particles 16 decreased, although coarse particles significantly increased. From the results of the 17 backward trajectory analysis, the phenomenon was considered to be due to the transport 18 of volcanic ash from Nishinoshima. The monthly average number concentrations of the 19 viable particles were highest in September, whereas the average concentrations of coarse 20 particles were at a maximum in April. 21
Application of Microsoft Office 365 as English Vocabulary Learning Media for Vocational High School Students

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Human Resource Professionals' Intention to Use and Actual Use of Human Resource Information Systems

Human resource information systems (HRISs) are widely used and have a strategic impact on organizations. The fundamental objective of this paper is to reveal the predominant antecedents affecting their adoption and implementation by replicating the unified theory of acceptance and use of technology (UTAUT) model from a South Asian emergent country perspective. The study collected data from human resource professionals employed in manufacturing and service companies located in Bangladesh, which were analyzed by employing partial least squares-based structural equation modeling software. It was revealed that performance expectancy, social pressure, and facilitation conditions significantly influence the intention to use and the actual use of HRIS, but that user’s effort expectancy had no significant impact. The study contributes by enriching the previous findings and validating the results based on relevant literature. Furthermore, managerial implications, the limitations of the study and suggested future study directions are presented.
BioS2Net: Holistic Structural and Sequential Analysis of Biomolecules Using a Deep Neural Network

Background: For decades, the rate of solving new biomolecular structures has been exceeding that at which their manual classification and feature characterisation can be carried out efficiently. Therefore, a new comprehensive and holistic tool for their examination is needed. Methods: Here we propose the Biological Sequence and Structure Network (BioS2Net), which is a novel deep neural network architecture that extracts both sequential and structural information of biomolecules. Our architecture consists of four main parts: (i) a sequence convolutional extractor, (ii) a 3D structure extractor, (iii) a 3D structure-aware sequence temporal network, as well as (iv) a fusion and classification network. Results: We have evaluated our approach using two protein fold classification datasets. BioS2Net achieved a 95.4% mean class accuracy on the eDD dataset and a 76% mean class accuracy on the F184 dataset. The accuracy of BioS2Net obtained on the eDD dataset was comparable to results achieved by previously published methods, confirming that the algorithm described in this article is a top-class solution for protein fold recognition. Conclusions: BioS2Net is a novel tool for the holistic examination of biomolecules of known structure and sequence. It is a reliable tool for protein analysis and their unified representation as feature vectors.
Effective Energy Efficiency and Statistical QoS Provisioning Under Markovian Arrivals and Finite Blocklength Regime

In this article, we evaluate the effective energy efficiency (EEE) and propose delay-outage aware resource allocation strategies for energy-limited Internet of Things (IoT) devices under the finite blocklength (FBL) regime. The EEE is a cross-layer model, measured by the ratio of effective capacity to the total consumed power. To maximize the EEE, there is a need to optimize transmission parameters, such as transmission power and rate efficiently. Whereas it is quite complex to study the impact of transmission power, or rate alone, the complexity is aggravated by the simultaneous consideration of both variables. Hence, we formulate power allocation (PA) and rate allocation (RA) optimization problems individually and jointly to maximize EEE. Furthermore, we investigate the performance of the EEE under constant and random arrivals, where statistical QoS constraints are imposed on buffer overflow probability. Using effective bandwidth and effective capacity theories, we determine the arrival rate and the required service rate that satisfy the QoS constraints. After that, we compare the performance of different iterative algorithms, such as Dinkelbach’s and cross entropy, which guarantee the convergence for the optimal solution. By numerical analysis, the influence of source characteristics, fixed transmission rate, error probability, coding blocklength, and QoS constraints on the throughput are identified. Our analysis reveals that the joint PA and RA is the optimal resources allocation strategy for maximizing the EEE in the presence of constant and random data arrivals. Finally, the results illustrate that modified Dinkelbach’s algorithm has high performance and low complexity compared to others.
Relationship of Social Capital, Entrepreneurial Competence, and Performance: The Case of Convection SMEs

This study aimed to examine the relationship of social capital, entrepreneurial competence, and company performance on Convection SMEs in Pemalang. The purpose of this study was also to examine the mediating role of entrepreneurial competence on the effect of social capital on MSME performance. This study was a quantitative study with population of convection SMEs in Ulujami District, Pemalang Regency. This study obtained 285 MSME business owners as research respondents. The data collection method used the questionnaire. Methods of descriptive analysis and path analysis were used to analyze the data of this study. The study results indicated a significant effect of social capital and entrepreneurial competence on the MSMEs performance. Entrepreneurial competence had been shown to significantly mediate the effect of social capital on the MSMEs performance. Social capital must be maintained and enhanced through the ability of MSME owners and managers in establishing relationships with partners, customers, and policy makers. Good social capital will encourage the entrepreneurial competence of MSME owners and managers to be stronger because they get information, experience, and assistance from various related parties.
THE EFFECTIVENESS OF PROGRAM DELIVERY AND ACADEMIC SUPPORT TO THEPERFORMANCE AND REPUTATION OF A PRIVATE HEI IN THE PHILIPPINES

This study sought to determine the image and reputation of Liceo de Cagayan University as an educational institution through service quality and the satisfaction of the students, parents, and alumni. In this study, a total of 231 respondents were included broken down as follows: 140 students, 46 parents, and 45 alumni selected through convenience sampling. The study disclosed that, among the three stakeholders the alumni have the highest level of assessment along the four dimensions of service quality followed by the parents and the students respectively. As to the level of satisfaction, the alumni have the highest level of satisfaction followed by the parents and then the students. Finally, the indicators of service quality such as: tangibility, assurance, reliability, and responsiveness have a moderate relationship with the stakeholders satisfaction. In like manner, the parents, alumni, and students level of satisfaction on the quality of service of the university can be credited most from tangibility and reliability dimensions.
Examining Practicing Teachers’ Knowledge and Attitudes toward Mathematical Modeling

Mathematical modeling has been positioned at the forefront of many educational levels globally because modeling reinforces purposeful problem-solving skills, connects mathematics to the real-world, and makes mathematics more meaningful and relevant. This article investigated K–12 practicing teachers’ knowledge and attitudes toward mathematical modeling, while considering the relationships between them and some selected demographic variables. The study involved 335 teachers from Midwestern United States of America (U.S.), and data was collected through an Online self-administered survey. The data collected were quantitatively analyzed with the guidance of the research questions, and using statistical analyses such as correlation, multiple regression, and ANOVA. Results showed that teachers had a satisfactory knowledge and attitudes toward mathematical modeling. Teachers’ knowledge of modeling was found to be positively related to their overall attitudes toward such modeling, with an R2 = . 25 suggesting a moderate relationship. Overall, gender and grade level band were identified as strong indicators of teachers’ knowledge and attitudes toward mathematical modeling. In particular, female teachers on average showed a relatively stronger knowledge and attitudes toward mathematical modeling than their male colleagues. Similarly, elementary teachers demonstrated a relatively stronger knowledge of mathematical modeling and attitudes toward such modeling than middle or high school teachers. Findings from this study have implications for integrating mathematical modeling standards into teacher preparation programs and organizing professional development on mathematical modeling education.
Study on the effect of ash in coal liquefaction residue on the preparation of high-density carbon materials by induced polycondensation

ABSTRACT Coal liquefaction residues have been used to prepare microporous and mesoporous carbons. Although these carbon materials have abundant pore sizes, their mechanical strength is poor, but cannot meet the demand for metallurgical coke in the industrial field. Based on the above-mentioned defects of carbon materials, a new method was proposed to prepare high-density carbon materials by in-situ addition of furfural in coal liquefaction residues at 450°C by inducing polycondensation. In order to study the influence of minerals and sulfur content in the coal liquefaction residue on the density of the induced polycondensation carbon material, it is proposed to firstly remove the ash and sulfur content of the coal liquefaction residue by hydrochloric acid and hydrofluoric acid, and then the changes of density and structure of carbon materials prepared by induced polycondensation were studied. The results showed that the treatments of HCl and HF have little effect on the pyrolysis of coal liquefaction residues, but only slightly shift the maximum pyrolysis rate temperature to the high temperature section. The 28.96%, 65.33% of ash and 2.42%, 46.06% of sulfur content in the coal liquefaction residue can be removed by the HCl and HF, respectively, but have little effect on the contained organic matter. The mass of organic components of YH-polymer, YH-HCl-polymer and YH-HF-polymer in N-methylpyrrolidone solvent decreased by 10.3%, 2.0% and 5.0%, respectively, indicating that the deashing treatment of coal liquefaction residues can further improve the polymerization degree of condensation. The removal of minerals can further promote the increase of thermal stability and disorder of the polymer, and the microcrystalline structure of the obtained product after further carbonization is regular and tends to graphitize. The density and sulfur content (0.81%) of the carbon materials produced by HF removing ash in coal liquefaction residue have reached the metallurgical coke standard.
Seroprevalence of Severe Acute Respiratory Syndrome Coronavirus 2 After the Second Wave in South Africa in Human Immunodeficiency Virus–Infected and Uninfected Persons: A Cross-Sectional Household Survey

Abstract Background Seroprevalence studies are important for quantifying the burden of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in resource-constrained countries. Methods We conducted a cross-sectional household survey spanning the second pandemic wave (November 2020 to April 2021) in 3 communities. Blood was collected for SARS-CoV-2 antibody (2 enzyme-linked immunosorbent assays targeting spike and nucleocapsid) and human immunodeficiency virus (HIV) testing. An individual was considered seropositive if testing positive on ≥1 assay. Factors associated with infection, and the age-standardized infection case detection rate, infection hospitalization rate, and infection fatality rate were calculated. Results Overall, 7959 participants were enrolled, with a median age of 34 years and an HIV prevalence of 22.7%. SARS-CoV-2 seroprevalence was 45.2% (95% confidence interval 43.7%–46.7%) and increased from 26.9% among individuals enrolled in December 2020 to 47.1% among those enrolled in April 2021. On multivariable analysis, seropositivity was associated with age, sex, race, being overweight/obese, having respiratory symptoms, and low socioeconomic status. Persons living with HIV with high viral load were less likely to be seropositive than HIV-uninfected individuals. The site-specific infection case detection rate, infection hospitalization rate, and infection fatality rate ranged across sites from 4.4% to 8.2%, 1.2% to 2.5%, and 0.3% to 0.6%, respectively. Conclusions South Africa has experienced a large burden of SARS-CoV-2 infections, with <10% of infections diagnosed. Lower seroprevalence among persons living with HIV who are not virally suppressed, likely as a result of inadequate antibody production, highlights the need to prioritize this group for intervention.
Understanding Drivers of Self-Service Technology (SST) Satisfaction and Marketing Bottom Lines: Evidence From Nigeria

Whilst self-service technologies (SSTs) are novel and evolving, they have rapidly grown popular across various retail service settings. Having been introduced into the Nigerian banking space, the level of customers’ satisfaction from the system is still unknown given that it has disrupted the initial service setup customers were used to. Utilising two theoretical perspectives, this study examined what drives customers’ satisfaction with banks’ SST and further assesses their influence on different marketing bottom lines. The study employed a quantitative approach to sampling 310 banks’ SST users within a popular university in Eastern Nigeria. Using the PLS-SEM technique, the study found that the perceived ease of use and perceived control are strong drivers of SST satisfaction and other marketing bottom lines. Surprisingly, perceived usefulness was found not to influence SST satisfaction, and therefore present a unique result in this context. Based on the foregoing, theoretical and managerial implications were provided.
Correlation of Blood Biochemical Markers with Tardive Dyskinesia in Schizophrenic Patients

Objective Oxidative stress factors and proinflammatory cytokines had been found to be involved in the pathogenesis of patients with tardive dyskinesia (TD). This study assumes that blood biochemical markers would have a link with TD in schizophrenia patients. To explore the correlation between blood biochemical markers and tardive dyskinesia in patients with schizophrenia (SCH). Methods From January 2010 to August 2021, the inpatients who met the diagnostic criteria of schizophrenia in the Chinese Classification and Diagnosis Criteria of Mental Disorders (DSM-4) and the American Diagnostic and Statistical Manual of Mental Disorders (DSM-4) were followed up in the psychiatric outpatient department of Jinxia Street Community Health Service Center, Longhu District, Shantou City. The diagnostic criteria of Abnormal Involuntary Movement Scale (AIMS) used in the TD study of Schooler and Kane were used to screen the patients. Patients were divided into the schizophrenia (SCH group) and the schizophrenia with TD groups (TD group). Oxidative stress factors including Superoxide Dismutase1 (SOD1), Glutathione Peroxidase1 (GPX1), Malondialdehyde1 (MDA1), Catalase Activity1 (CAT1), and brain-derived neurotrophic factor 1 (BDNF1) and some inflammatory cytokines including interleukin-2 (IL-2), interleukin-6 (IL-6), interleukin-8 (IL-8), serum tumor necrosis factor (TNF-α), prolactin, estrogen, and cortisol were measured in 121 schizophrenic patients with tardive dyskinesia and 118 schizophrenic patients. The correlation analysis was conducted on the data. Results Age and female were immutable risk factors for the development of TD, and there were significant differences in blood biochemical indices GPX1, MDA1, CAT1, and TNF-α in schizophrenic patients with and without TD. Conclusion This study supports that oxidative stress and immune disorders are associated with TD patients. Blood biochemical markers GPX1, MDA1, CAT1, and TNF-α may play an important role in the pathogenesis of schizophrenia combined with TD patients, and they may be useful in the diagnosis of schizophrenia with tardive dyskinesia.