Miracle-dz/UniFAR-FTUs huggingface dataset:
The Interplay Between Emotional Intelligence, Oral Communication Skills and Second Language Speaking Anxiety: A Structural Equation Modeling Approach

The study aimed at identifying the association between Goleman’s emotional intelligence and second language speaking anxiety by employing oral communication skills as the mediating variable. A correlational research design was used. A total of 209 first and second-year Malaysian undergraduate ESL students were selected from one public university in Malaysia. The study employed the proportionate stratified random sampling. In order to collect data, three questionnaires including ‘ Emotional Competence Inventory (ECI)’, ‘Foreign Language Classroom Anxiety Scale (FLCAS)’ , and ‘Oral Communication Skills Scale’ were used. Testing the hypotheses required correlational analysis done via Smart PLS 3.0. Results provided support for the proposed conceptual framework, disclosing that emotional intelligence was significantly associated with oral communication skills. Also, oral communication skills were significantly associated with second language speaking anxiety. Lastly, oral communication skills mediated the association between emotional intelligence and second language speaking anxiety. The current study offered ESL students, educator and policymakers several theoretical and practical implications. Keywords: Emotional intelligence; second language speaking anxiety; oral communication skills; structural equation modeling; Malaysian ESL students
A review and scientometric analysis of supply chain management (SCM)

This paper aims to provide the most up-to-date review of supply chain management (SCM) publications through the use of scientometric analysis by reviewing studies published between the years 1998 to 2017. Global contributions in the field of SCM are well illustrated by identifying top productive journals, scholars, institutions, and countries. To clearly identify prevailing and recent research trends and topics in the field, the papers reviewed were categorized into three stages based on the timeline and increasing rate of publications. In each stage, core research topics and research methods were explored. The results of this study show that out of 13477 research outputs, the highest percentage of 59.38% are research articles, and the lowest percentage of 0.33% are books. The majority of 2389publications originated from the United States, followed by 2256 from China. We observed a general increase in the number of publication records in SCM over the years. The areas of current research interests and future research needs in the SCM area are also identified.
Pyrogeographic models, feedbacks and the future of global fire regimes

Conceptual and phenomenological macroecological models of current global fire activity have demonstrated the overwhelming control exerted by primary productivity. Fire activity is very high in savanna regions with intermediate primary productivity, and very low in both densely forested regions with high productivity and arid/cold regions with low productivity. However, predicting future global fire activity using such macroecological models of fire's global ‘niche’ may not be possible because of the feedbacks between fire, climate and vegetation that underpin the fire−productivity relationship. Improving forecasts of global fire activity demands the use of dynamic models to determine how climate, CO2, vegetation (i.e. canopy closure and plant functional types) and primary productivity constrain fire and evaluation of the strength of feedbacks amongst these variables.
Do Processing Times Affect the Distribution of Asylum Seekers Across Europe?

More than 3 million asylum seekers arrived into Europe between 2014 and 2016, and we analyze the role of destination-specific policy measures in shaping their location choices. We bring to the data a gravity equation that reflects the uncertainty that asylum seekers face, concerning the chances of obtaining refugee protection, the processing time and the risk of repatriation. These factors shaped the distribution of asylum seekers, and produced heterogeneous effects across different origin countries. German efforts to expand their processing capacity produced a significant increase in applications from origins with high recognition rates, which were mostly diverted away from Sweden.
D2NA: Day-To-Night Adaptation for Vision based Parking Management System

Recently, smart parking management systems built on deep learning frameworks have achieved promising performance. However, most of them are designed for the day-time. To help these systems work at night also, extra labor-intensive efforts and extra training time are needed. In this paper, we propose a novel framework based on day-night domain adaptation, feature disentanglement, and style transfer to transfer the knowledge from day to night. The key idea behind our framework is to embed images into two spaces. A domain-invariant space captured shared feature for classification, and a domain-specific space characterized the day or night style. By taking advantage of the exchange of two domains, our framework not only transfers knowledge and labels across domains but also synthesizes the style-transferred images. These features enable our parking lot system to detect the status of spaces at night time in a more efficient way. Experimental results show the effectiveness of our framework for day-to-night adaptation regarding status classification. It also shows visually pleasing results after image-to-image translation.
Artificial Intelligence (AI) Provided Early Detection of the Coronavirus (COVID-19) in China and Will Influence Future Urban Health Policy Internationally

Predictive computing tools are increasingly being used and have demonstrated successfulness in providing insights that can lead to better health policy and management. However, as these technologies are still in their infancy stages, slow progress is being made in their adoption for serious consideration at national and international policy levels. However, a recent case evidences that the precision of Artificial Intelligence (AI) driven algorithms are gaining in accuracy. AI modelling driven by companies such as BlueDot and Metabiota anticipated the Coronavirus (COVID-19) in China before it caught the world by surprise in late 2019 by both scouting its impact and its spread. From a survey of past viral outbreaks over the last 20 years, this paper explores how early viral detection will reduce in time as computing technology is enhanced and as more data communication and libraries are ensured between varying data information systems. For this enhanced data sharing activity to take place, it is noted that efficient data protocols have to be enforced to ensure that data is shared across networks and systems while ensuring privacy and preventing oversight, especially in the case of medical data. This will render enhanced AI predictive tools which will influence future urban health policy internationally.
Participatory performance in the secondary music classroom and the paradox of belonging

ABSTRACT Participatory performance, as defined by Thomas Turino, holds the potential to contribute to enhanced social bonding, cooperation, and the realisation of community among participants – despite the conflict or ‘paradox’ between self-expression and collective affiliation which it often provokes. This study considers how managing this underlying ‘paradox of belonging’ can positively contribute to the development of participatory performance’s social benefits. It presents a case study of practitioner research situated in a UK secondary school, in which pupils (aged 11–13) faced the paradox of belonging during participatory performances of Terry Riley’s In C. Pupils perceived an emerging conflict between individual ability and interpersonal affinity, and in response proposed and practised different models of leadership to avoid, activate, and transcend the paradox. The study concludes by evaluating how these same responses could allow other participatory practices in secondary music classrooms to equip pupils to negotiate the paradox of belonging.
Targeting Cytochrome P450 1A1 Enzyme with Crucifer Phytocomponents: An In Silico Approach for Chemopreventive Drug Design against Lung Cancer

Introduction: Metabolism of carcinogens plays a key role in cancer. Cytochrome P450, family 1, subfamily A, polypeptide 1 (CYP1A1) is one of the main cytochrome P450 enzymes. It is involved in the activation of compounds such as polycyclic aromatic hydrocarbons with carcinogenic properties associated with lung cancer. Inhibition of enzymes that activate carcinogenesis is a major strategy of chemoprevention. Thus, CYP1A1 is selected as the target protein. Crucifer vegetables offer a promising source of phytochemicals that are emerging as strong contenders in the arena of cancer chemoprevention and thus can be analyzed as ligands to the selected target. Aim: The study is an attempt to find an in silico solution to lung cancer by CYP1A1 inhibition-based chemoprevention using crucifer phytocomponents. Materials and Methods: Bioinformatics databases and tools are used. The study involves the structural analysis of CYP1A1 and its interaction with crucifer ligands using Modeller 9V2 and AutoDock, respectively, as the prominent software. Pharmacokinetic properties of the ligands are also predicted with ACD/I-Lab 2.0 modules. Results: The findings indicated effective active site interactions of CYP1A1 with the crucifer phytocomponents. Glucosinolate was found to be the best inhibitory ligand with docking energy −16 KJ/mol and 9 hydrogen bonds. The compounds also exhibited preferable drug properties. Indole-3-carbinol and 3, 3’-Diindolylmethane seemed to possess more druglikeness comparatively. Conclusion: From the study, it can be concluded that crucifer phytocomponents can act as natural, safe, and potent drug candidates in anti-lung cancer drug design.
The Reliability of Framework for Teaching Scores in Kindergarten

We evaluated the score stability of the Framework for Teaching (FFT), a prominent observation instrument used for teacher evaluation. Three raters each scored 200 reading and mathematics lessons taught by 20 kindergarten teachers. Using Generalizability theory analyses, we decomposed the FFT’s Classroom Environment, Instruction, and Total scores into potential sources of variation (teachers, lessons, raters, and their interactions). The scores’ variances attributable to differences among teachers were 71% and 76% for Classroom Environment, 49% and 37% for Instruction, and 69% and 66% for the Total score, for reading and mathematics, respectively. Reliability estimates (G) ranged from 0.92 to 0.96 for Classroom Environment and Total scores; they were 0.87 and 0.79 for reading and mathematics Instruction. Decision studies indicated that two raters, each scoring three reading lessons or four mathematics lessons, are necessary to achieve sufficiently reliable Total scores. For Instruction scores, three raters each scoring seven readings lessons are needed; more than four raters each scoring eight lessons are needed for mathematics.
“Solvitur Ambulando” (It Is Solved by Walking): Learning Business Leadership on the Camino De Santiago

Undergraduate students enrolled in a large research university walked 500 miles on the Camino de Santiago (Camino) as a culminating experience of a course designed to foster high-impact learning, specifically learning about themselves as leaders and global citizens. The purpose of this qualitative study was to explore undergraduate students’ perspectives about the impact of the experience on their leadership development. The course design incorporated leadership theory and high-impact learning practices to provide students with an innovative and in-depth learning experience unique from a classroom setting. A thematic analysis of student post-Camino metareflections gave insight as to how students perceived their development as leaders and what elements of the experience students perceived to be most impactful. Interpretation of the findings was informed by leadership development literature identifying the metacompetencies and competencies of a leader. Other business schools could incorporate the findings regarding leadership development and the effectiveness of the specific course experience to implement their own programs. We provide recommendations and outline resources other universities would need for structuring similar innovative, high-impact learning experiences designed to enhance students’ leadership competencies.
Cycle Life Study of Li-Ion Batteries With an Aging-Level-Based Charging Method

This study presents a preliminary investigation report on an aging-level-based (ALB) charging strategy that is possible to extend the battery lifespan by varying the charge current according to the state of health of a cell as opposed to the standard constant-current constant-voltage (CC-CV) and a four-stage constant current (4SCC) methods. Experimental tests have been carried out, which employed Sanyo UR14500P lithium-ion batteries in the cylindrical shape with a nominal voltage of 3.7 V and a rated capacity of 840 mAh. The results demonstrate that the ALB charging strategy with a CC charge profile is able to slow down the cell capacity fade by 3.84% compared with the standard CC charging method after 120 cycles, which increases the lifetime of 40 cycles to 50 cycles. Besides, the ALB charging strategy with a 4SCC charge profile is able to slow down the cell capacity fade by 2.55% compared with the standard 4SCC charging method after 100 cycles, which prolongs the lifetime of 30 cycles to 40 cycles. Nevertheless, the ALB charging strategy with both the CC and 4SCC charge profiles has much longer charging time than those with the standard charging method, and the charging time increases by 22.5% and 10.71%, respectively.
Investigating the Effects of Psychological Capital on Turnover Intention

A high level of employee turnover in the company might cause negativity in this company such as decreasing productivity and might take a toll on financial budget. Companies will strive to minimize the level of voluntary employee turnover where possible. PsyCap was explored in many researches related to turnover intention and was positively proven. This study aims to investigate the effects of Psychological Capital (PsyCap on employee turnover intention through three mediating variables. Quantitative methods were used, and this study extracted 257 samples from State-Owned Enterprises (BUMN) engaged in telecommunications in Indonesia. In order to better represent the company as a whole, stratified sampling was used. SPSS software was used to process the data with Process V 3.0 macro as an addition. The results of this study revealed positive & significant relationship of PsyCap towards mediating variables while significant & negative relationship between mediating variables and turnover intention. In addition, there is evidence of mediating effects of PsyCap towards turnover intention through job satisfaction, work engagement and psychological well-being. Keywords: Psychological capital, work engagement, job satisfaction, psychological well-being, turnover intention
Inovasi Pemecahan Pembelajaran Bahasa Arab di Madrasah Ibtidaiyah

This study is aimed to describe the challenge and the innovation of Arabic learning in Islamic Elementary school. The method of this research is descriptive qualitative thas is done by observation and liberary research. The result of this research showed that there are many obstacles of the Arabic learning in this global era that need several innovation to be implemented. The capability of Arabic knowledge should be implemented by a teacher of Arabic to grow the Arabic competence for students in Islamic Elementary School. Besides, several strategies and learning models should be appropriate with the psyche of students in Islamic Elementary School. n
Modification of Polyurethane Coating Based on Palm Oil with Filler Bentonite to Improve Heat Resistant Properties

This work aims to prepare and characterize polyurethane nanocomposite sequences modified with bentonite as fillers and palm oil as a soft segment component while Toluene Diisocyanate (TDI) was chosen as a hard segment component. Bentonite fillers are needed to provide heat resistance to the polyurethane coating. Morphological, structural and thermal polyurethane nanocomposites are characterized by SEM, FTIR, and TGA. FTIR analysis is the NH urethane group in palm oil polyurethane compounds while the absorption of C=O urethane group widens at 1735 cm-1. While the CH group occurs at absorption wavelengths of 2120-2180 cm-1, adding bentonite (7% by weight) is completely laminated and well dispersed in the form of a mixture of peeling / intercalating layers in the polymer matrix. Polyurethane nanocomposites have a morphology separated by clearer microphase. The resulting thermal stability is higher compared to the addition of bentonite 3 and 5% by weight. Because of its enhanced features, the polymer developed can be considered a material with heat resistance as a coating.
Perioperative outcomes and mid-term effects in performing video-assisted thoracoscopic extended thymectomy for myasthenia gravis: subxiphoid versus right thoracic approaches

Background Approaches of thoracoscopic thymectomy for myasthenia gravis (MG) are debatable. The subxiphoid approach is widely utilized recent years for its better visualization of the anterior mediastinum. In the present study, we compared perioperative outcomes and mid-term effects of the extended thymectomy for MG between the subxiphoid approach and the routine right-thoracic approach. Methods One hundred and thirty-one MG patients treated with thoracoscopic extended thymectomy were analyzed. Among them, 68 patients were operated on via the subxiphoid approach and the other 63 via the conventional right-side unilateral approach. The patient outcomes were retrospectively reviewed and evaluated. Mid-term clinical outcome was assessed according to the classification system proposed by the Myasthenia Gravis Foundation of America (MGFA). Clinical efficacy and variables influencing outcome were evaluated by the Kaplan-Meier method and Cox proportional hazards regression analysis. Results Compared with the right thoracic approach, the duration of the procedure via the subxiphoid approach was significantly shorter (P=0.035), the rates of total thymectomy were higher (P=0.028), and the pain scores on postoperative days 1, 3, and 7 were significantly lower (P<0.001, P<0.001, and P=0.03, respectively). A total of 112 patients with MG were followed up. The subxiphoid approach group reported higher rates of complete stable remission (CSR) and effective treatment of MG, although these differences were not statistically significant (Z=−0.484, P=0.627). By multivariate Cox proportional hazards modes analysis, the chance of CSR was significantly increased when age <40 (OR: 2.623, 95% CI: 1.150–5.983, P=0.022), non-thymomatous MG (OR: 1.078, 95% CI: 1.101–3.316, P=0.021) and MGFA clinical classification (OR: 2.024, 95%:1.164–3.523, P=0.013). Conclusions The subxiphoid approach has shorter operation time, higher rates of total thymectomy and better quality of life compared with the lateral thoracoscopic approach. Preoperative age, pathological diagnoses and MGFA Clinical Classification are the independent risk factors for non-complete stable remission (NCSR) after thymectomy.
Structural studies of MeCP2 in complex with methylated DNA

DNA methylation is a common epigenetic mark that affects gene regulation, genomic stability and chromatin structure. In mammals, methylation is mainly found in the CpG dinucleotides. The CpG methylation signals can be recognised by the Methyl-CpGBinding Protein (MBP) family which includes MeCP2, MBD1, MBD2, MBD3, MBD4 and Kiaso. MeCP2 and MBD1-4 (except mammalian MBD3) recognise methyl-CpG via their MBD domain whereas Kaiso interprets methylation through its Zn finger DNA binding domain. The TRD domains of MeCP2, MBD1 and MBD2 have been reported to recruit transcriptional co-repressors to the methylated DNA. A thymine DNA glycosylase domain is located at the C-terminal region of MBD4. This study concerns the molecular details of the methyl-CpG recognition by the MBD domain of MeCP2. To achieve this, the MeCP2 MBD domain has been expressed, purified and co-crystallised with a 20 bp DNA fragment from the BDNF promoter. The DNA-protein cocrystal diffracted X-rays to a maximum resolution of 2. 5Å using synchrotron sources. It belongs to space group C2 with unit cell dimensions: a = 79. 71Å, b = 53. 60Å, c = 65. 73Å, and β = 132.1 ̊. The X-ray structure of the MeCP2 MBD-DNA complex was solved using the SAD method. Structural analyses of the refined X-ray structure reveal that the methyl groups of the DNA make contact with a predominantly hydrophilic surface that includes tightly bound water molecules. From a structure of the MBD domain in MBD1, established by NMR, the binding specificity of the MBD domain had been thought to depend on hydrophobic interactions between the cytosine methyl groups and a hydrophobic patch within the MBD domain. The findings of this study suggest that MeCP2 recognises the hydration pattern of the major groove of methylated DNA rather than cytosine methylation per se. The X-ray structure also identifies a unique role of T158 and R106, the sites of the two most frequent Rett missense mutations. Both residues stabilise the tandem Asx-ST motif at the C-terminal region of MBD domain. Disruption of this tandem motif destabilises the DNA-protein interaction. The BDNF sequence in this study contains an AT run which displays unique properties of AT tract DNA. Previously, mutation of the AT run has been reported to decrease MeCP2 binding specificity. This study however demonstrated that a significant reduction can only be observed when both AT runs close to the methyl-CpG have been mutated. The X-ray structure of the MeCP2 MBD-DNA complex in this study rationalises the effects of the most common Rett mutations and provides a general model for methylated DNA binding that is dependent on structured water molecules.
Risk factors for uroseptic shock in hospitalized patients aged over 80 years with urinary tract infection

Background The purpose of this study was to compare clinical characteristics and outcomes in individuals of different age groups with urinary tract infection (UTI), and to identify the relationships among advanced age and uroseptic shock. Methods This retrospective study compared clinical characteristics and outcomes in patients in different age groups with UTI and identified relationships between advanced age and uroseptic shock among hospitalized patients with UTI in an acute hospital care setting from January 2006 to October 2018. Patients were divided into young (age below 65 years), old (65–80 years), and very old (above 80 years) groups. Results Of 1,043 participants, 269 (25.8%) were very old and 200 (19.2%) developed uroseptic shock. Very old age [odds ratio (OR) 1.99, 95% confidence interval (CI): 1.25–3.19, P=0.004], male (OR 1.54, 95% CI: 1.07–2.24, P=0.022), presented flank pain (OR 1.54, 95% CI: 1.05–2.24, P=0.025), congestive heart failure (CHF) (OR 2.54, 95% CI: 1.27–5.06, P=0.008), acute kidney injury (AKI) (OR 4.19, 95% CI: 2.78–6.30, P<0.001), bacteremia (OR 1.78, 95% CI: 1.25–2.53, P=0.001), and multiple drug-resistant (MDR) bacteria (OR 1.43, 95% CI: 1.02–2.00, P=0.039) were associated with an increased risk of uroseptic shock in patients with UTI. In very old patients with UTI, bacteremia (OR 2.54, 95% CI: 1.38–4.69, P=0.003) and AKI (OR 4.37, 95% CI: 2.15–8.90, P<0.001) were independently associated with uroseptic shock. Conclusions Very old patients with UTI had a higher risk of developing uroseptic shock than younger patients. Bacteremia was an independent risk factor for uroseptic shock in very old patients with UTI.