Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying the Effectiveness of Active Learning Strategies and Benefits in Curriculum and Pedagogy Course for Undergraduate TESL Students

The teachers nowadays are trained properly, competently enough, excel academically with high grades but still considered as “incapable” or “unfit” to teach. There are still many problems and weaknesses among young graduates, despite the initiatives taken by the government to address the issue. The adoption and practice of active learning approaches into the component of course design offered in higher institutions is a common practice nowadays and is crucial in addressing these weaknesses among our young graduates. This case study identifies the effectiveness of active learning strategies and benefits in curriculum and pedagogy course which is a central concept of student-centred learning, derived from the constructivist approach. This article aims to ensure the course efficacy by integrating active learning to support their practice of active learning brought to learners by micro teaching, peer-reflections/feedbacks and self-reflections. Data were collected from documents in a form of e-reflections in ifolio and telephone interviews via WhatsApp Mobile Phone application. This qualitative study reports in detail the experience of 10 undergraduate students. The findings reveal the effectiveness of the three commonly used strategies associated with active learning strategies in this study. Among the beneficial of imparting active learning strategies are as follows; creates positive learning environment, allows direct interaction between lecturers and students, promotes open minded ideology, learn to respect someone else opinion, enhance communication skill, allows students to personally engaged with the learning activities and encourage participation. The findings and discussion of this study would be able to help the pertinent parties such as policy maker, teachers, facilitators and students with better guidance for utilising and maximizing different other selections of active learning strategies that could benefit teaching and learning process in the higher education scenario.
Dynamic Aggregation of Chiral Spinners

An object spinning at the surface of a liquid creates a chiral vortex. If the spinning object is itself chiral, its shape modifies the characteristics of the vortex; interactions between that vortex and other vortices then depend on the chirality of the objects that produce them. This paper describes the aggregation of millimeter-sized, chiral magnetized plates floating at a liquid-air interface and rotating under the influence of a rotating external magnetic field. This external field confines all the plates at densities that cause the vortices they generate to interact strongly. For one set of plates investigated, plates of one chirality attract one another, and plates of the other chirality repel other plates of both chiralities.
Pacification or Aggravation? The Effects of Talking about Supervisor Unfairness

Many employees feel a general sense of unfairness toward their supervisors. A common reaction to such unfairness is to talk about it with coworkers. The conventional wisdom is that this unfairness talk should be beneficial to the aggrieved employees. After all, talking provides employees with an opportunity to make sense of the experience and to “let off steam. ” We challenge this perspective, drawing on cognitive-motivational-relational theory to develop arguments that unfairness talk leads to emotions that reduce the employee’s ability to move on from the unfairness. We first tested these proposals in a three-wave, two-source field study of bus drivers (Study 1), then replicated our findings in a laboratory study (Study 2). In both studies, we found that unfairness talk was positively related to anger and negatively related to hope. Those emotions went on to have direct effects on forgiveness and indirect effects on citizenship behavior. Our results also show that the detrimental effects of unfairness talk were neutralized when the listener offered suggestions that reframed the unfair situation. We discuss the implications of these results for managing unfairness in organizations.
PML 2: A Modular Explanation Interlingua

In the past five years, we have designed and evolved an interlingua for sharing explanations generated by various automated systems such as hybrid web-based question answering systems, text analytics, theorem proving, task processing, web services execution, rule engines, and machine learning components. In this paper, we present our recent major updates including: (i) splitting the interlingua into three modules (i.e. provenance, information manipulation or justifications, and trust) to reduce maintenance and reuse costs and to support various modularity requirements; (ii) providing representation primitives capable of representing four critical types of justifications identified in past work. We also discuss some examples of how this work can be and is being used in a variety of distributed application settings.
Educating Grade 6 students for higher-order thinking and its influence on creativity

Educating students for higher-order thinking provides them with tools that turn them into more critical thinkers. This supports them in overcoming life problems that they encounter, as well as becoming an integral part of the society. This students’ education is attended to by educational organisations that emphasise the positive consequences of educating students for higher-order thinking, including creative thinking. One way to do that is through educational programmes that educate for higher-order thinking. One such programme is the Cognitive Research Trust (CoRT) thinking programme. The present research intended to examine the effect of the participation of Grade 6 students in a CoRT programme on their creative thinking. Fifty-three students participated in the research; 27 participated in a CoRT programme, while 26 did not participate in such programme. The ANCOVA test showed that the students who participated in the CoRT programme outperformed significantly, in creative thinking, the students who did not. Moreover, the students in the CoRT programme whose achievement scores were between 86 and 100 outperformed significantly the other achievement groups of students. Furthermore, students with reported high ability outperformed significantly the other ability groups of students. The results did not show statistically significant differences in students’ creativity attributed to gender.
Real-time eSports Match Result Prediction

In this paper, we try to predict the winning team of a match in the multiplayer eSports game Dota 2. To address the weaknesses of previous work, we consider more aspects of prior (pre-match) features from individual players' match history, as well as real-time (during-match) features at each minute as the match progresses. We use logistic regression, the proposed Attribute Sequence Model, and their combinations as the prediction models. In a dataset of 78362 matches where 20631 matches contain replay data, our experiments show that adding more aspects of prior features improves accuracy from 58.69% to 71.49%, and introducing real-time features achieves up to 93.73% accuracy when predicting at the 40th minute.
The Measurement and Evaluation of Children's Ministry Praxis

Popular books and resources for children's ministers are typically based on philosophical assertions, anecdotal evidence, or the experience of the author, rather than on empirical evidence. The present study seeks to advance the science of children's ministry by validating a measure of children's ministry praxis and determining whether different approaches to children's ministry are actually associated with the outcomes they are assumed to produce. Statistical analyses of existing survey data collected from 201 Nazarene churches in the United States revealed three empirically distinct ministry models differentially associated with attendance growth, conversion rates, evangelism rates, and service participation. Practical implications are discussed.
ImageNet Classification with Deep Convolutional Neural

The intended goal of the experiments was to create a deep, convolutional network that uses supervised learning to achieve better (lower) error rates than the rates previously observed, to identify images, on a highly challenging dataset. The parameters used for judging if the CNN is able to recognise the object is given by “Top-1” and “Top-5” predictions made – that is the top prediction made, and the the top 5 predictions made, and matching which ones are correct. The training set used was ILSVRC-2010 images, and ILSVRC-2012 images as training sets, and ILSVRC-2010 for the test set . which containd 15 million high resolution images in about 22,000 categories. Given a rectangular image, they first rescaled the image such that the shorter side was of length 256, and then cropped out the central 256x256 patch from the resulting image. The main feature of the architecture of the CNN is the different layers – there are 5 convolutional layers, and 3 fully connected layers, and this feature is the main feature which helps to reduce the error rates, as the removal of even a single layer degrades the performance by about 2%.
Research on counter-terrorism based on big data

In the area of big data, people have a new perspective on counter-terrorism research. In this paper, we have carried out a systematic research on the applications of big data in counter-terrorism field by using quantitative analysis method. And then we have demonstrated effect of big data on counter-terrorism research from data collection and preprocessing, data mining and analysis, monitoring and warning three aspects. After that, we have used all the data of The Times and The New York Times about WUC in 2012 for analysis and argument. Finally, it concludes the deficiencies of the research on the territory of counter-terrorism by using big data and the problems worth studying in the future.
An empirical assessment of the relationships among inflation and short- and long-term expectations

This paper uses a detailed literature review and an empirical analysis of three models to assess the links among inflation and survey measures of long- and short-term expectations. In the first approach, we jointly estimate a model of inflation, survey expectations and monetary policy, where each is a function of a common time-varying inflation trend. In the estimates, long-term expectations track closely the unobserved trend that is an important factor in inflation dynamics, implying that changes in long-run expectations can lead to persistent movements in inflation. In the second approach, we estimate a time-varying parameter VAR with stochastic volatility. This model relaxes the cross-equation and constant parameter restrictions from the first model. Impulse response analysis shows a relatively stable relationship between inflation and survey measures of inflation, although with some modest changes consistent with improved anchoring of long-term expectations. Finally, we rely on a conventional VAR framework incorporating several macroeconomic variables, including both short- and long-term measures of expected inflation. In these estimates, shocks to either measure of expectations lead to a rise in the other measure and some limited pass-through to inflation. Shocks to inflation cause both short- and long-term expectations to rise. Other factors such as monetary policy, economic activity, and food price inflation also affect expectations and inflation.
Cross-lingual Wikification Using Multilingual Embeddings

Cross-lingual Wikiﬁcation is the task of grounding mentions written in non-English documents to entries in the English Wikipedia. This task involves the problem of comparing textual clues across languages, which requires developing a notion of similarity between text snippets across languages. In this paper, we address this problem by jointly training multi-lingual embeddings for words and Wikipedia titles. The proposed method can be applied to all languages represented in Wikipedia, including those for which no machine translation technology is available. We create a challenging dataset in 12 languages and show that our proposed approach outperforms various baselines. Moreover, our model compares favorably with the best systems on the TAC KBP2015 Entity Linking task including those that relied on the availability of translation from the target language to English.
Data Abstraction In Cognitive Models for Compositional Design in Music

In this paper, we discuss the design of musical data, which is neutral emotionally, for use in the training and building of models of cognition. The data will provide training examples for auditory cortex and emotion modules. There are two goals to this research: first, model the process of musical design for eventual use in the development of an autonomous musical composition program; and second, use the musical model as a quantitative means of training the auditory cortex portion and associated emotional circuits of a general model of cognition.
Socio-Economic and Environmental Factors Associated with Overweight and Obesity in Children Aged 6–8 Years Living in Five Italian Cities (the MAPEC_LIFE Cohort)

The prevalence of obesity among Italian children has reached such alarming levels as to require detailed studies of the causes of the phenomenon. A cross-sectional study was carried out in order to assess the weight status of 1164 Italian children aged 6–8 years (the Monitoring Air Pollution Effects on Children for Supporting Public Health Policy (MAPEC_LIFE) cohort) and to identify any associations between selected socio-economic and environmental factors and overweight/obesity. The data were obtained by means of a questionnaire given to parents, and any associations were examined by binomial logistic regression analyses. Overweight was found to be positively associated with male gender, parents of non-Italian origin, and parents who smoke, and negatively associated with the parents’ level of education and employment. In addition, the frequency of overweight varied in relation to the geographical area of residence, with a greater prevalence of overweight children in the cities of central-southern Italy. This study highlights the need to implement appropriate obesity prevention programs in Italy, which should include educational measures concerning lifestyle for parents from the earliest stages of their child’s life.
Exploring Forgiveness: Do Benevolence and Revenge Associate with Procedural Justice, Workplace Satisfaction and Intention to Leave?

Although numerous empirical studies have indicated perceived organizational justice associate with satisfaction, this study aims at extending extant contemporary organizational research studies and investigates whether benevolence and revenge relate with procedural justice, workplace satisfaction and intention to leave. After performing a literature review, the relationships amongst the five constructs were proposed and their related measurement items were taken to prepare the questionnaire for collecting data. Structural equation modeling was adopted to test the hypotheses with data of 239 part-time students. The findings supported most of the hypotheses, except the relationships between revenge and intention to leave, and between benevolence and intention to leave. The results indicate that procedural justice relates to revenge and benevolence, and these three constructs link with workplace satisfaction. Workplace satisfaction relates to intention to leave but revenge and benevolence do not associate with intention to leave. This research may be the first study to investigate the five constructs together in one research. It strengthens theoretical implications of organizational studies and the findings show the importance and implications of revenge and benevolence for forgiveness in the workplace. Particularly, encouraging forgiveness with fair procedural policy is recommended as employees would work more satisfactorily and have higher willingness to retain. But this does not mean forcing employees to forgive as employees may adopt revenge, particularly when they perceive working under unfair system.
Ionization, Magnetorotational, and Gravitational Instabilities in Thin Accretion Disks Around Supermassive Black Holes

We consider the combined role of the thermal ionization, magnetorotational, and gravitational instabilities in thin accretion disks around supermassive black holes. We find that in the portions of the disk unstable to the ionization instability, the gas remains well coupled to the magnetic field even on the cold, neutral branch of the thermal limit cycle. This suggests that the ionization instability is not a significant source of large-amplitude time-dependent accretion in active galactic nuclei (AGNs). We also argue that, for ≳ 10-2 M☉ yr-1, the gravitationally unstable and magnetorotationally unstable regions of the accretion disk overlap; for lower accretion rates they may not. Some low-luminosity AGN, e.g., NGC 4258, may thus be in a transient phase in which mass is building up in a nonaccreting gravitationally and magnetorotationally stable "dead zone. " We comment on possible implications of these findings.
Symptom severity of depressive symptoms impacts on social cognition performance in current but not remitted major depressive disorder

The aim of the present study was to investigate the social cognitive functioning of participants with depression when compared with healthy controls, and to assess the impact of symptom severity. One hundred and eight patients with depression (66 remitted and 42 current) and 52 healthy controls were assessed using the Wechsler Advanced Clinical Solutions: Social Perception Subtest, measuring facial affect recognition in isolation and in combination with prosody and body language interpretation. When healthy controls, remitted depression and currently depressed groups were compared, no associations were found on any of the social cognition subscales. Severity of depressive and anxious symptoms predicted performance on all social cognition subscales in currently depressed participants, controlling for age, gender, education and psychotropic medication. Affective depressive symptoms were inversely related to ACS Pairs and Prosody subscales, while somatic symptoms were inversely related to the ACS Affect Recognition and Total scores. There was no association between severity and the WAIS ACS in remitted depression participants. People with MDD exhibiting more severe depressive and anxious symptoms and a cluster of affective symptoms have greater difficulty undertaking complex social cognitive tasks. Given the state like nature to these deficits, these impairments may cause problems with day to day functioning and have implications in targeted therapeutic interventions.
The relationship between binge-watching, compensatory health beliefs, and sleep

329 young adults participated in a cross-sectional survey study. The relationship between Compensatory Health Beliefs and sleep and the mediating effect of binge-watching was tested through mediation analysis. Other characteristics, of binge-watching were correlated to sleep outcome as well. The existing relationship between CHBs and sleep outcome does not seem to be influenced by binge-watching frequency. However, the CHBs on binge-watching that were developed for this study represent a possible relevant new subscale of the CHB questionnaire as it was the highest predictor of binge-watching frequency. Of the binge-watching characteristics nighttime binge-watching negatively influenced sleep quantity. Watching with others also had a negative effect on sleep quantity. The Compensatory Health Beliefs on binge-watching are a good predictor of binge-watching frequency and correlate with the other CHBs. CHBs and binge-watching do not predict sleep outcome sufficiently. Binge-watching during nighttime can lead to lower sleep quantity. Watching with others, especially with a friend or partner led to a lower sleep quality. However, as binge-watching frequency did not correlate with sleep outcome it is questionable whether the correlation of the other factors with sleep is caused by the binge-watching behavior.
The enforcement of anti-human trafficking law in South Africa: a case of an aircraft without a pilot

Abstract This article evaluates the effectiveness of current law enforcement efforts in combating human trafficking in South Africa. Based on a broader empirical doctoral study, it was discovered that as currently structured, the South African Police Service (SAPS) cannot be effective in the enforcement of anti-trafficking law in the country. Combating human trafficking among other things, requires a formidable law enforcement agency that is explicitly proficient in the modus operandi of the crime; the sophisticated cum dynamic nature of the forces and factors that fuel the illicit trade in a vacillating milieu. Unfortunately, academic writings on this observable position in South Africa are scanty. Therefore, an article of this nature is not just timely but urgent. Findings from the study (among others) revealed that a wide-gap exist in the capacity of the SAPS, and other relevant stakeholders, to enforce anti-trafficking law in the country. Hence, it was recommended that for a result-oriented approach, South Africa needs to establish a specialised law enforcement agency distinct from the regular police structure to enforce anti-trafficking law in the country.
Regulation of adipose tissue lipoprotein lipase gene expression by thyroid hormone in rats.

Lipoprotein lipase (LPL) is an important enzyme in lipid metabolism, and adipose LPL activity is increased in rats that are deficient in thyroid hormone. To examine the mechanism of thyroid hormone's effect on LPL, LPL gene expression was assessed in the epididymal fat pads of hypothyroid rats. When compared to control rats, LPL activity, mass, and synthetic rate in hypothyroid rats were increased; heparin-releasable LPL activity and mass were increased to 448% and 300% of control, respectively, and [35S]methionine incorporation into LPL was increased to 250% of control. The increases in LPL activity and mass were reversed by treatment of hypothyroid rats with triiodothyronine (T3). However, there was no change in the level of LPL mRNA when compared to the level of gamma-actin mRNA and no effect on LPL transcription using run-off assays. Isolated adipocytes were prepared from normal rats and exposed to 2 nM T3 in vitro for 24 h. The addition of T3 to cultures of adipocytes resulted in a decrease in LPL activity, mass, and [35S]methionine incorporation, but still no change in LPL mRNA level. To determine whether thyroid hormone regulated catecholamine responsiveness, adipocytes were prepared from hypothyroid and control rats, and the responses to epinephrine were compared. Although epinephrine inhibited [35S]methionine incorporation into LPL in control rat adipocytes, there was essentially no effect in hypothyroid rat cells. In addition, T3 treatment of the hypothyroid rats restored the responsiveness to epinephrine. Thus, thyroid hormone regulates LPL in rat adipose tissue posttranscriptionally, resulting in parallel changes in LPL synthetic rate, immunoreactive mass, and activity. (ABSTRACT TRUNCATED AT 250 WORDS)