Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing a multilingual identity in the languages classroom: the influence of an identity-based pedagogical intervention

ABSTRACT It is natural to assume the languages classroom to be a key site for the construction of learners’ linguistic and multilingual identities. Yet, an underlying assumption exists that this will occur regardless of whether teachers explicitly raise learners’ awareness about the nature of language and how language is implicated in their lived experience. We argue, therefore, that a new dimension of languages pedagogy is necessary in order for learners to understand their own and others’ linguistic repertoires (whether learned in school, at home or in the community) and so to recognise their agency in being able to claim a multilingual identity. In this paper, we present a rationale for and explore the effect of an innovative programme of participative multilingual identity education which was implemented by teachers in languages classrooms across four secondary schools in England over the course of one academic year. Data were collected through questionnaires administered before and after the intervention and sought to trace the formation of students’ multilingual identity. Evidence from this study suggests that while more traditional interventions focusing on raising awareness about the benefits of languages can be beneficial, effects can be enhanced by an additional ‘identity’ element, i.e. actively promoting reflexivity.
Langmuir Equation Modifications to Describe Phosphorus Sorption in Soils of Ontario, Canada

Abstract Various Langmuir equation modifications have been developed to describe phosphorus (P) sorption reactions in soils for either agronomic or environmental purposes. Comparisons of estimated sorption parameters or goodness of fit for these different models, however, are rarely reported. This study was conducted to address this limitation. Phosphorus sorption studies were conducted on 60 representative agricultural soils in Ontario, Canada. We used five Langmuir equation modifications based on four different methods of estimating initial sorbed P (Q0) in the soil either by mathematical means or by using Olsen-extractable P (Olsen P) as a direct measure of Q0. Based on the residual root mean square error, the goodness of fit was improved for most soils with equations where Q0 was estimated from the P sorption data compared with the use of Olsen P as a measure of Q0. No significant changes in P sorption maximum (Qmax) were found between the four equation modifications, with Q0 estimated from the sorption data, whereas Qmax values obtained from the equation with Q0 estimated by Olsen P were significantly different for some soils. Significant changes in P sorption strength (k), Q0, and equilibrium P concentration in the solution at zero net sorption (Ce) were observed between the tested equations. For each P sorption parameter, significant linear relationships were found between the five Langmuir equations. If Q0 and Ce values remain to be determined as well as Qmax and k, the modified Langmuir equation that includes the linear estimate of the Ce parameter may be preferred provided that equilibrium P concentrations are sufficiently low.
Adaptive Modeling of Prediction of Telecommunications Network Throughput Performances in the Domain of Motorway Coverage

The main goal of this paper is to create an adaptive model based on multilayer perceptron (MLP) for prediction of average downlink (DL) data throughput per user and average DL data throughput per cell within an LTE network technology and in a geo-space that includes a segment of the Motorway 9th January with the access roads. The accuracy of model prediction is estimated based on relative error (RE). With multiple trainings and testing of 30 different variants of the MLP model, with different metaparameters the final model was chosen whose average accuracy for the Cell Downlink Average Throughput variable is 89.6% (RE = 0.104), while for the Average User Downlink Throughput variable the average accuracy is 88% (RE = 0.120). If the coefficient of determination is observed, the results showed that the accuracy of the best selected prediction model for the first variable is 1.4% higher than the accuracy of the prediction of the selected model for the second dependent variable. In addition, the results showed that the performance of the MLP model expressed over R2 was significantly better compared to the reference multiple linear regression (MLR) model used.
Online EMI learner engagement and perceptions of teaching and learning during the COVID-19 pandemic

ABSTRACT This study examined Korean university students’ online English as the Medium of Instruction (EMI) engagement and perceptions of teaching and learning, during the COVID-19 pandemic. Students were issued an online questionnaire, which indicated that those who have experienced EMI classes engage more for performance gains, while students who have prior online learning experiences tend to centre more on skills and emotional engagement. Predictors of engagement were perceptions of warmth and openness, as well as organisation. Implications for practice, such as showing concern and empathy to increase engagement, are discussed.
Painful purpura from intravascular large B-cell lymphoma cutaneous variant

Abstract Intravascular large B-cell lymphoma is a rare disease that often goes unnoticed and is repeatedly diagnosed during autopsy. Patients present with a wide variety of nonspecific symptoms, which makes the diagnosis challenging. This case presents a patient who was initially diagnosed with fever of unknown origin but later developed a retiform purpuric rash that prompted the diagnosis.
What Works Best: A Systematic Review of Actual Learning in Marketing and Management Education Research

After decades of research in marketing and management education, what do we now know about what educational practices work best for improving actual learning? We answer this question with a qualitative systematic literature review of every contribution published in five marketing and management education journals from inception through May 2020 that provides recommendations for evidence-based best pedagogical practice. Contributions were screened to identify empirical studies that employed measures of actual learning in an appropriate experimental design and reported analyses that met certain statistical standards. Of the 4,160 articles examined, 55 studies met our criteria. Based on the studies’ results, we developed a model for understanding the teaching methods that are most effective for achieving actual learning in marketing and management education. We provide evidence-based pedagogical recommendations for faculty and recommendations for additional research in key areas and for increasing the rigor of pedagogical research.
Perceived Stress and Cyberloafing among College Students: The Mediating Roles of Fatigue and Negative Coping Styles

Cyberloafing has increasingly attracted the attention of scholars because of the widespread use of digital devices in educational environments. This research was conducted to investigate the roles of fatigue and negative coping styles in mediating the relationship between perceived stress and cyberloafing. A total of 730 undergraduates (reduced to 716 due to incomplete data) completed self-report questionnaires measuring perceived stress, fatigue, negative coping styles, and cyberloafing. Perceived stress was shown to be a significant predictor of cyberloafing. Furthermore, negative coping styles played a unique mediating role and fatigue and negative coping styles exerted a sequential mediating effect on the association between perceived stress and cyberloafing. We envision the findings as being helpful in guiding educators develop interventions for minimizing cyberloafing by college students and its disrupting effects.
Educational inclusion in resource-constrained contexts: a study of rural primary schools in Cambodia

This study investigated the status of educational inclusion in resource-constrained, rural primary schools in Battambang Province, Cambodia using a mixed-method design. A Teacher Efficacy in Inclusive Practices (TEIP) scale was administered to sampled teachers and Headteachers. Classroom observations were undertaken in 5 schools. Interviews were conducted with selected teachers and other education officials. The findings indicate dissatisfaction with the current quality of educational inclusion and identify barriers to good practice. The paper highlights priorities for enhancing educational inclusion in rural, resource constrained contexts and recommends a participatory and culturally sensitive framework for improving overall quality of education.
Evidence in Default: Rejecting Default Models of Animal Minds

Comparative psychology experiments typically test a null statistical hypothesis against an alternative. Coupled with Morgan’s canon, this is often taken to imply that the model positing the simpler psychological capacity should be treated as a ‘default’ that must be ruled out before any other model can be accepted. It has been posited that this practice neglects evidence. I argue that the problem is deeper, including the way it structures the evaluation of evidence that is considered; it frames model choice around the acceptance or rejection of a default. I oppose this default framing in all its forms and develop an evidentialist alternative. Default framing fails to respect the difference between experimental statistical hypotheses and substantive hypotheses such as models. It is not actually supported by the use of null hypothesis significance testing (which I retain), it distorts the weighting of evidence, and it systematically biases practice.
Effects of broiler chicks fed the low crude protein diet supplemented with Achyranthes japonica Nakai root extract on growth performance and carcass traits

Abstract: A total of 360 one-day-old broiler chicks were randomly assigned to four treatments with five replicate cages and 18 birds per cage for a 35 d trial to investigate the effects of supplementing Achyranthes japonica Nakai (AJN) root extract in low crude protein (CP) diet on growth performance and carcass traits. Experimental diets were divided as standard CP content diet, low CP content (LCP) diet, and LCP diet supplemented with 0.025% or 0.050% AJN root extract. Dietary CP reduction impaired growth performance and carcass traits, whereas supplementing AJN root extract improved growth performance and carcass traits.
Pyrolytic Reactions of Lignin within Naturally Occurring Plant Matrices: Challenges in Biomass Pyrolysis Modeling Due to Synergistic Effects

Systematically larger char yields were observed from the pyrolysis of chemically isolated lignins, compared to expected yields from the pyrolysis of lignins embedded in plant material. Naturally occurring lignins are known to be intermeshed with other plant constituents within the composite matrices of lignocellulosic biomass. An attempt was made to simulate their behavior by pyrolyzing pellets prepared from mixtures of lignin and cellulose powders. However, the results gave char yield trends that did not conform to trends observed when pyrolyzing plant derived biomass. These findings are interpreted in terms of entirely different reaction pathways operating when lignins are pyrolyzed within naturally occurring biomass, compared to “pure” lignins or composite particles made from mixtures of fine powders. It appears that char yield trends from the pyrolysis of lignocellulosic biomass are closely linked to the detailed morphology, as well as the chemical makeup, of the highly oxygenated plant derived materi.
Stability, Viscosity, and Tribology Properties of Polyol Ester Oil-Based Biolubricant Filled with TEMPO-Oxidized Bacterial Cellulose Nanofiber

This research is aimed at studying the stability and tribology properties of the polyol ester oil- (POE-) based biolubricant mixed with various filler loadings from microparticle of TEMPO-oxidized bacterial cellulose (NDCt) as an additive and sorbitan monostearate (Span 60) as a surfactant. Morphology, rheology, and tribology tests were conducted. The addition of NDCt and Span 60 to pure POE as a base fluid showed elevated viscosity, lower value of coefficient friction (COF), and a remarkable decrease in the wear rate (WR). The presence of 0.6 wt% NDCt and 1.8 wt% Span 60 in POE (N2S4) decreased the COF value by 79% in comparison to POE. At room temperature, this N2S4 biolubricant sample showed a higher thermal conductivity by 4% and lower WR value by 49% compared to POE. This study introduced the preparation of the ecofriendly biolubricant filled with NDCt improving the tribology properties remarkably.
Investigation of Nano-Biocomposite for Kashar Cheese and Ground Meat Packaging

ORIGINAL ARTICLE Background: Plastic and polymeric materials remain in the soil given the fact that they are derived from petroleum resources. However, such pollution has created a special challenge for human societies. The use of biodegradable packaging has received more attention. The general purpose of this study was to investigate the use of a mixture film of whey protein concentrate and reinforced hydroxypropyl methylcellulose with chitosan nanoparticles to package ground meat and Kashar cheese. Furthermore, this package was compared with ordinary polyethylene coating. Methods: Two samples of ground meat and Kashar cheese were packaged using a nano-biocomposite film of whey protein concentrate/ hydroxypropyl methylcellulose (70:30) containing 3% chitosan nanoparticles. The antimicrobial properties of the optimal produced film were examined. The total population of microorganisms and pH for ground meat were tested during 6 days of storage. The total population of microorganisms, weight loss, moisture content, pH, and mold count and yeast for Kashar cheese were examined during 2 months of storage. The results of the tests were analyzed by Duncan one-way analysis of variance with 95% confidence and 5% error by Minitab16 software. Results: Samples of ground meat and cheese packaged in whey protein film and hydroxypropyl methylcellulose containing chitosan nanoparticles had less mold count, yeast, and total microorganism population than polyethylene packaging (P ≤ 0.05) after storage period. Conclusion: The use of biodegradable films based on plants and the loading of nanoparticles can lead to the use of this type of packaging for perishable food to prevent environmental hazards in addition to greater safety of perishable food products.
A Machine Learning Application Based on Giorgio Morandi Still-Life Paintings to Assist Artists in the Choice of 3D Compositions

Abstract The authors present a system built to generate arrangements of threedimensional models for aesthetic evaluation, with the aim being to support an artist in their creative process. The authors explore how this system can automatically generate aesthetically pleasing content for use in the media and design industry, based on standards originally developed in master artworks. They then demonstrate the effectiveness of their process in the context of paintings using a collection of images inspired by the work of the artist Giorgio Morandi (Bologna, 1890–1964). Finally, they compare the results of their system with the results of a well-known Generative Adversarial Network (GAN).
The near- and far-transfer effects of cognitive training on attentional networks in women and men

ABSTRACT The study tested which attentional networks can be improved using cognitive training and whether this effect is mediated by gender differences. 181 young participants (50% woman) were randomly assigned to one of three groups: two experimental groups underwent 18 days of cognitive-training programmes relating to executive functions or temporary memory and one non-active control group. The Attention Network Test (ANT) was used twice to assess the participants’ performance before and after the training programmes. The results showed that performance in the ANT increased, but there was no improvement in the control group. Moreover, in the case of the executive functions training, there was a far transfer on some indicators of the alerting and orienting networks. Both training programmes were more effective for women than for men: in the women’s group, this difference applies to the response to each cue condition of the ANT and is much stronger than in men.
Early Childhood Professional Well-being as a Predictor of the Risk of Turnover in Early Head Start & Head Start Settings

ABSTRACT Turnover is particularly worrisome in Early Head Start/Head Start (EHS/HS) where consistency in relational-care systems and stable environments are critical quality indicators. Key adults in EHS/HS settings including teachers, administrators, specialists, and auxiliary personnel impact young children and families by providing care, education, and essential resources. This study addressed risk of turnover (job satisfaction, intentions to remain in position or profession) in a nation-wide sample of EHS/HS professionals (N = 1,076) through the lens of early childhood professional well-being (ECPW). Research Findings: Three ECPW factors were identified: Community Belonging (CB; α = 0.90); Safety & Security (SS; α = 0.84); and Professional Identity (PI; α = 0.76). ANOVA results indicated administrators, and professionals with college and graduate degrees, and those over 20 years of experience in their settings and the field experienced the highest levels of ECPW. SEM confirmed that ECPW was predictive of risk of turnover. Practice or Policy: Results helped refine researchers’ earlier conceptualizations of ECPW. Implications of ECPW and risk of turnover in EHS/HS settings are discussed.
Mechanism of Guaiacol Hydrodeoxygenation on Cu (111): Insights from Density Functional Theory Studies

Understanding the mechanism of the catalytic upgrade of bio-oils via the process of hydrodeoxygenation (HDO) is desirable to produce targeted oxygen-deficient bio-fuels. We have used calculations based on the density functional theory to investigate the reaction mechanism of HDO of guaiacol over Cu (111) surface in the presence of H2, leading to the formation of catechol and anisole. Our analysis of the thermodynamics and kinetics involved in the reaction process shows that catechol is produced via direct demethylation, followed by dehydrogenation of –OH and re-hydrogenation of catecholate in a concerted fashion. The de-methylation step is found to be the rate-limiting step for catechol production with a barrier of 1.97 eV. Formation of anisole will also proceed via the direct dehydroxylation of guaiacol followed by hydrogenation. Here, the rate-limiting step is the dehydroxylation step with an energy barrier of 2.07 eV. Thermodynamically, catechol formation is favored while anisole formation is not favored due to the weaker interaction seen between anisole and the Cu (111) surface, where the binding energies of guaiacol, catechol, and anisole are -1.90 eV, −2.18 eV, and −0.72 eV, respectively. The stepwise barriers also show that the Cu (111) surface favors catechol formation over anisole as the rate-limiting barrier is higher for anisole production. For catechol, the overall reaction is downhill, implying that this reaction path is thermodynamically and kinetically preferred and that anisole, if formed, will more easily transform.
Do Asymmetries in the Indian Equity Market Exist during the COVID-19?

ABSTRACT This paper investigates the presence of asymmetry in correlations, betas and covariances between the market excess return and the excess return on each of the eleven industry, ten size, ten momentum and ten book-to-market portfolios. We arrive at three main findings. First, there is strong evidence of asymmetric covariance while the evidence for asymmetric correlations is weakest during COVID-19 period. Second, momentum and book-to-market portfolios exhibit strong evidence of asymmetry relative to the size and industry portfolios. Third, regardless of a single exceedance level or four exceedance levels, the downside correlations, betas and covariances are higher than the upside correlations, betas and covariances.
Antibiotic Susceptibility Profile of Pseudomonas aeruginosa Canine Isolates from a Multicentric Study in Romania

Treating infections caused by Pseudomonas aeruginosa is increasingly difficult due to high antibiotic resistance, materialized through the presence of multiple resistance strains, as well as due to rapid development of resistance throughout treatment. The present survey was conducted to investigate the antibiotic susceptibility profile of Pseudomonas aeruginosa pathogens in two University Veterinary hospitals from different geographical regions of Romania (i.e., Southwest Timișoara county and Northeast Iași county) involved in superficial canine infections. A total of 142 swab specimens were collected from dogs with superficial infections (superficial skin infections, otitis externa, and perianal abscess) to assess the presence of Pseudomonas aeruginosa, based on phenotypic and molecular characterization. According to their confirmed morphological and molecular features, 58 samples (40.84%; 58/142) were positive for Pseudomonas aeruginosa (according to their confirmed morphological and molecular features). Antibiotic susceptibility testing for 12 antibiotics was conducted using the Kirby–Bauer disc diffusion method. Drug resistance was observed in the case of all tested antibiotics. The susceptibility rate of P. aeruginosa strains that were tested in this study was in the following order: ceftazidime (53.44%; 31/58), followed by aztreonam (51.72%; 30/58), amikacin (44.82%; 26/58), azithromycin (41.37%; 24/58), gentamicin (37.93%; 22/58), cefepime (36.20%; 21/58), meropenem (25.86%; 13/58), piperacillin-tazobactam (25.86%; 13/58), imipenem (22.41%; 13/158), ciprofloxacin (17.24%; 10/58), tobramycin (8.62; 5/58), and polymyxin B (1.72; 1/58). The results highlight the importance of antibiotic susceptibility testing in Pseudomonas aeruginosa isolates from dogs with superficial infections to use an adequate treatment plan to manage the skin condition and other pathologies (otitis externa and perianal abscesses).
Discrete Vortex Method Of Flow Around A Cylinder In A Channel Using Simple Grid System

Article History: Received:11 January 2021; Accepted: 27 February 2021; Published online: 5 April 2021 ABSTRACT : Modelling of unidirectional and oscillatory flows around a cylinder in a channel using a simple overlapping grid system are carried out. The importance of this cylinder-wall configuration is the effect of blockage which suppress the development of the vortex shedding The polar grid system of the cylinder is then overlapped with the rectangular grid system of the wall. The length of rectangular grid element is about the same as the length of the polar grid system in the cylinder surface. The use of such overlapping grid system is for reducing the CPU time, i.e. in calculating the vortex velocity since the CPU time in calculating the vortices velocity takes the longest time. This method is not only time efficient, but also gives a better distribution of surface vorticity as the scattered vortices around the body are now concentrated on grid point. In this study there is no vortex-to-vortex interaction, but instead it uses node-to-node interactions. Velocity calculation also uses this overlapping grid in which the new incremental shift position then summed up to get the total new vortices position. In this overlapping system the grid can be either off or on depend on process involved to get rid of the nodes not being used. The engineering applications of this topic is to simulate the loading pipeline placed in the channel such as in the heat exchanger or simulation of U-tube experiment or other system. The in-line and transverse force coefficients are found by integrating the pressure around the cylinder surface. The flow patterns are then can be obtained and presented. The comparison of the results with experimental evidence is presented and also the range of good results is discussed.