Miracle-dz/UniFAR-FTUs huggingface dataset:
Food Waste Drivers in Corporate Luxury Hotels: Competing Perceptions and Priorities across the Service Cycle

Drawing on data gathered through semi-structured interviews, participant observation and document analysis at five-star hotels in UK and Germany, this paper examines the competing pressures driving waste generation and prevention at different stages in the food production and service cycle. Primary data indicated that senior managers recognised the potential savings that could be achieved by preventing food waste. Despite this, many wasteful practices were normalised within routine operations. This was partly attributed to the corporatised business model and brand strategy in which premium pricing and luxury experiential propositions potentially transformed food waste reduction strategies into sources of risk. Past research generally categorised food as being edible or inedible. In contrast, the terms usable/unusable are proposed and this paper discusses how corporatised practices and value propositions rendered usable foods unusable. It considers how this type of corporate system frames waste problems and thus solutions, leading to various consequences. The discussion also explores how those systems shaped the organisational culture and the agency of staff who engaged with the service cycle at and across multiple points. The findings of this paper are based on primary data collected from a small number of corporately governed luxury hotels. Consequently, the closing parts of this paper outline how the insights generated here could be applied to the study of alternative organisational arrangements and operational types.
Self-efficacy, Reflection, and Burnout among Iranian EFL Teachers: The Mediating Role of Emotion Regulation

To expand the line of research investigating individual teacher-related variables, the present research sought to test a structural model of teacher reflection, self-efficacy, burnout, and emotion regulation among Iranian EFL instructors. Moreover, a mediation model was examined, hypothesizing that emotion regulation would mediate the influences of teacher reflection and teacher self-efficacy on teacher burnout. Collecting data from a sample of 238 Iranian EFL teachers, a structural equation modeling (SEM) was embarked on to test the hypothesized relationships. The data of the study were gathered through the participants’ responses to the four questionnaires related to the four variables under investigation (i.e., teacher self-efficacy, reflection, burnout, and emotion regulation variables). The outcomes of a confirmatory factor analysis (CFA) verified the fitness of the used questionnaires and the structural model. Considering the centrality of teachers’ affective status in how they deal with reform initiatives, it is hoped that our results can contribute to the understanding of how teachers can take practical measures to monitor their emotional states in EFL education in Iran and in the broader international context. Additionally, EFL teacher preparation programs should consider more practical strategies to enhance efficacy beliefs, emotion regulation, and reflection for pre-service teachers.
Preparation and characterization of experimental oily wastewater: effect of rotor speeds and oil/water ratios in an in-line high-share mixer

ABSTRACT Multiple oily wastewaters are necessary for scientific research and technological development. Experimental oily wastewater is prepared with an in-line high shear mixer at a constant flow rate. Rotor speeds have a significant effect on pressure drops across shear mixer, while oil/water ratios have less effect. With the increase of rotor speeds, most of the oil droplet size (D50, D90) show a downward trend. D10 of oil droplets may increase at low oil/water ratios while those decrease at high ones. Oil droplet sizes (D50 and D90) change slowly and emulsibility values decrease with the increase of oil/water ratios, and 0.06% is most favorable for fine emulsion. Higher rotor speeds prepare the turbulent environment easily, and higher oil/water ratios are available to improve droplets coalescence. Rotor stirring changes the drop size, and in turn influences the Zeta potential and stability of the emulsion. As oil/water ratios increase, absolute Zeta potential tends to decrease and coalesce easily. The oil contents of prepared wastewater measured with polyacrylamide addition are more than those without polyacrylamide addition respectively, and all of them are lower than their theoretical counterparts respectively. The results can provide necessary parameter references for the laboratory to prepare the character-specific oily wastewater.
Bearing Severity Fault Evaluation Using Contour Maps—Case Study

Increasing industrial competitiveness has led to an increased global interest in condition monitoring. In this sector, rotating machinery plays an important role, where the bearing is one of the most critical components. Many vibration-based signal treatments are already being used to identify features associated with bearing faults. The information embedded in such features are employed in the construction of health indicators, which allow for evaluation of the current operating status of the machine. In this work, the use of contour maps to represent the diagnosis map of a bearing, used as a health map, is presented for the first time. The results show that the proposed method is promising, allowing for the satisfactory detection and evaluation of the severity of bearing damage. In this initial stage of the research, our results suggest that this method can improve the classification of bearing faults and, therefore, optimise maintenance processes.
Surface wind and vertical extent features of the explosive cyclones in the Northern Hemisphere based on the ERA‐I reanalysis data

Although explosive cyclones (ECs) have long been a focus of research, there remains a lack of knowledge of the statistical characteristics of their associated maximum surface winds and vertical extents. This study fills this gap by conducting a targeted statistical analysis of ECs in the Northern Hemisphere using the ERA‐I reanalysis data during a 40‐year period. Some new findings are obtained: (a) The average location of formation of ECs undergoes a notable westward and equatorward shift from September to April in the next year which is consistent with the location variations of sea surface temperature's strong gradients in subtropical regions. (b) Extreme ECs with a deepening rate more than 2.0 Bergeron or with a longer lifespan more than 10 days tend to have a larger occurrence number over the Northern Atlantic Ocean than over the Northern Pacific. (c) The maximum surface wind associated with an EC tends to appear between the EC reaching its maximum deepening rate and reaching its minimum central pressure. (d) The northeastern quadrant of ECs accounts for the highest proportion of maximum surface wind and strongest wind speed, as the baroclinic energy conversion is generally strongest in this quadrant. (e) Over 60% of ECs belong to a type of vertically deep cyclone (ECs' top levels show close relationship to ascending motions within their central regions), and they tend to reach their maximum vertical extent around the time when they reach their minimum central pressures. (f) The highest top levels of ECs exhibit an overall upward extending trend as their minimum central pressure decreases or their maximum deepening rate increases.
The Pre-service Teachers’ Internship Program during the Pandemic: Prospects for a New Landscape of Teacher Education

COVID-19 pandemic has made education goes online including teacher education programs. For the first time, pre-service teachers needed to teach online to school students when they were going through a teaching internship program. This study aimed to determine issues and challenges faced by pre-service teachers when teaching online during the internship program. The main theory used as the framework was the behaviorist perspective on education. A number of 71 pre-service teachers had filled in online surveys that included reflections of teaching for each online teaching session conducted. The reflections were used as the data source. Data were analyzed using a qualitative analysis method, namely coding strategies. Themes were generated and discussed. This study found three primary challenges faced by the pre-service teachers: (1) internet accessibility among school students, (2) students’ interest and attitude toward online learning, and (3) knowledge and skills of conducting online teaching and learning including assessment of student learning. Implications for teacher education programs are discussed and recommendations are made to inform teacher educators and other relevant parties such as governments and philanthropies about ways to improve practice of online teaching of pre-service teachers.
Adoption to Online Newspaper Reading with the COVID-19 Pandemic: Case of Staff Members of the Rajarata University of Sri Lanka

The purpose of this study was to apprehend the adaption to online newspaper reading with COVID-19 pandemic by focusing to staff members of Rajarata University of Sri Lanka. Online newspaper is the easiest and best way to get news today. Online newspaper facilitators create new path for online newspaper readers. During this pandemic time, people face different difficulties such as lockdown, travel restriction, quarantine or isolation etc. Thus, most of them are at home and do works under the work from home concept meantime demand for online news is also increased harshly. Literature survey revealed that there is a handful of studies done in Sri Lankan context related to the present study. Accordingly, data were collected from total population of 291 academic and nonacademic executive staff members in the Rajarata University of Sri Lanka. The collected data were analyzed using statistical techniques; reliability test, descriptive analysis, Andrew F. Hayes moderation process analysis, correlation coefficient and regression analysis with SPSS. Respondents are from all six faculties and they who are in various age groups with different educational qualifications. However, even most of the staff members heard about online newspaper, online newspaper usage is low. Results of correlation and regression analysis confirmed that online habit, internet experience and social influence positively influence on adoption towards the online newspaper reading. Furthermore, moderating influence of gender, age and education were tested with Andrew F. Hayes moderation process analysis and revealed concerned demographic factors moderate only the relationships of internet experience and online habit with dependent variable. Study recommends and give insights to develop creative and effective future plan for online newspaper providers to increase the usage of online newspaper reading among online users.
InDel Markers Based on 3K Whole-Genome Re-Sequencing Data Characterise the Subspecies of Rice (Oryza sativa L.)

A molecular marker is a valuable tool in genetic research. Insertions–deletions (InDels) are commonly used polymorphisms in gene mapping, analysing genetic diversity, marker-assisted breeding, and phylogenetics. The 3000 Rice Genome Project, a re-sequencing project, discovered millions of genome-wide InDels. We found that the proportion of >50-bp long InDels (699,475) of the total (1,248,503) is 56.02%. The number of InDels on each chromosome was consistent with the corresponding chromosome length. The maximum InDels were on chromosome 1 (78,935), and the minimum InDels were on chromosome 9 (41,752), with an average density of 1.87 InDels/kb (range: 1.50–2.36 InDels/kb). Furthermore, 96 InDels of about 3.98 Mb/InDel were selected to detect the polymorphism. The results exhibited ideal performance in 2% agarose gel electrophoresis. Phylogenetic analysis exhibited that InDel markers had excellent polymorphisms between rice varieties of japonica and indica, and varieties could be classified based on the statistical results of their polymorphisms. The InDel markers could be applied to identify the recombinant inbred lines in a population. These results reveal that the high-density long InDel markers could help us examine the functional diversity, species variation, and map-based cloning.
Through ‘thick and thin’ as long as it is healthy: shared meanings of commitment in long-term couple relationships, whether married or not

ABSTRACT Social theorists have suggested relationship practice changes such as rising rates of nonmarital cohabitation imply external anchors are lifting with relations become increasingly individualized and fragile. These suppositions are in part based on theories of commitment which have taken conventional characteristics of marriage as a blueprint from which to compare. Reporting findings from an in-depth qualitative study in England, in this paper, what it means to be committed and how commitment is displayed within 10 long-term (15 plus years) couple relationships across forms (same-sex, opposite-sex, married, civil partnership, cohabitant) is explored. The findings challenge conventional signifiers by which cohabitants are deemed less committed than married couples. In line with the individualization thesis, couples described an importance attached to autonomy and equality. Instead of public promises for a lifetime together, sexual intimacy and financial interdependence, couples displayed commitment through mutual reciprocity. However, these' individualized' relationships were not sustained only to the extent of personal satisfaction. Moral consistency values to stick together through adversity, unless the relationship became unhealthy, signified what it meant to be committed; whether the relationship was formalized or not. Further research is needed to develop theories of commitment which better reflect the diversity of contemporary relationship practices.
Doping behaviour in mixed martial arts athletes: the roles of social norms and self-regulatory efficacy

ABSTRACT The present study examined, for the first time, the multivariate association between social norms, negative self-conscious emotions, and self-regulatory efficacy and doping intentions in an international sample of MMA athletes, with an emphasis on moderation and mediation effects. We also examined whether MMA athletes with different doping experiences also differed in doping-related self-conscious emotions, self-regulatory efficacy, social norms and doping intentions. A cross-sectional survey-based design was used, and structured anonymous online questionnaires were completed by 249 MMA athletes from 16 countries. Three groups of users were identified based on self-reported doping use: never users, never user contemplators, and ever users. One-way ANOVA showed that athletes with differed doping experiences gave significantly different scores in social norms, self-conscious emotions, self-regulatory efficacy, and doping intentions. Hierarchical regression analysis showed that doping intentions were significantly associated with perceiving greater social approval of doping among referent others (injunctive norms), anticipating less negative self-conscious emotions from doping, and with lower levels of self-regulatory efficacy, after controlling for the effect of past doping use. Moderated regression analysis showed that self-conscious emotions did not interact with social norms in predicting doping intentions. Regression-based mediation analysis further showed that self-regulatory efficacy significantly mediated the association of injunctive norms and self-conscious emotions with doping intentions. Our findings highlight the role of social norms and self-conscious emotions in the decision-making process underlying doping in MMA athletes. The practical implications of our findings are discussed within the context of clean sport education and related campaigns to prevent doping in MMA.
Silica Exposure Estimates in Artificial Stone Benchtop Fabrication and Adverse Respiratory Outcomes

Abstract Silicosis is being increasingly reported among young stonemasons in the artificial stone (AS) benchtop fabrication and installation industry. Respiratory health screening, which included a job and exposure history, a chest X-ray (CXR), a respiratory health questionnaire, and gas transfer testing, were offered to stonemasons in Victoria, Australia. Workers typically reported a variety of tasks, including cleaning and labouring, which made exposure assessment complex. We estimated the relative respirable crystalline silica exposure intensity of each job from the proportion of time using AS and the proportion of time doing dry work (work without water suppression). The relative average intensity of exposure for up to five jobs was calculated. Cumulative exposure was calculated as the sum of the duration multiplied by intensity for each job. Installers and factory machinists (other than computer numeric control operators) were the most likely to report dry work with AS, and so had a greater average intensity of exposure. Exposure intensity and cumulative exposure were associated with increased odds of an ILO (International Labour Organisation) CXR profusion major category of ≥1 and with dyspnoea. Exposure duration was also associated with ILO profusion category. In multivariate analyses of health outcomes, only job type was associated with the ILO profusion category. For both most recent and longest-duration job types, when compared to the lowest exposure group, factory machinists were more likely to have an ILO category ≥1. This suggests that intensity of exposure estimated from the proportion of time dry cutting and proportion of time working on AS can predict the risk of adverse respiratory outcomes for workers in this industry.
Achieving increased resolution and reconstructed image quality with gradient variance modified super-resolution radial fluctuations

Based on the calculation of the degree of gradient convergence, the super-resolution radial fluctuations (SRRF) algorithm can achieve higher resolution by combining temporal fluctuation analysis with localization microscopy methods. The algorithm is also capable of processing high-density fluorescence images. However, there are considerable artifacts due to high density, which lead to a loss of image resolution and low fidelity of images. This study demonstrates the use of fluorescence gradient fluctuations in super-resolution analysis and proposes gradient variance modified SRRF (gmSRRF) algorithm. The gmSRRF algorithm resolves finer structures and compensates for the loss of resolution caused by artifacts in SRRF images using relatively high-density stochastic optical reconstruction microscopy (STORM) data and conventional widefield, confocal, or structured illumination microscopy (SIM) imaging sequences. The effectiveness of this algorithm is proven by means of relevant simulations and experiments, which allow the reconstructed SRRF image to improve resolution and reduce artifacts and background noise.
Using Computer-aided Technology to Error Analysis of Electric Energy Metering System

With the continuous advancement of smart grids and the digital substations, transformers and electric energy meters in traditional metering systems will gradually be replaced by electronic transformers and meters, the electric energy metering will also enter the digital value. The accuracy of electric energy measurement is directly related to the benefits of power generation, power supply and electricity consumption in the settlement. As an emerging product, the computer-aided electric energy metering system (EES) is still being improved in all aspects. This article first introduces the development background and status quo of the computer-aided electric energy metering system, combining the computer-assisted electric energy metering system composed of electronic transformers, merging units and digital electric energy meters in the smart grid, and putting forward the factors that influence the results of electric energy metering. Aiming at the typical influencing factors, a test method for the verification of measurement errors is proposed, and part of the test is performed on the electric energy meter with the test equipment to verify the analysis results. Based on the analysis of the error factors of computer-aided electric energy measurement, suggestions for reducing errors are proposed, suggestions for improving the function of electric energy meters, and constructive opinions on error verification methods of computer-aided electric energy measurement systems.
The nonlinear effect in the performance of 4:2 Compressor

In this article, we have designed a novel 4:2 QCA Compressor with a nonlinear effect. This can be considered as a new vision to design approximate Majority circuits with more than five-input. The main advantages of these ideas are the reduced number of QCA cells as well as power dissipation, increased speed, and improved cell area In addition, a novel hierarchy is introduced to optimize digital systems. The 4:2 Compressor circuit is selected as a benchmark. This circuit is simulated with some technologies such as CMOS, CNT, and QCA in different architectures. All results from power respective were compared. We have used QCADesigner and QCAPro for QCA Circuits, Hspice with 20nm-nfet PTM-MG model for CMOS circuits and Stanford CNFET 20nm model for CNT circuits as simulation tools to evaluate circuits.
Resting-State Electroencephalogram (EEG) Coherence Over Frontal Regions in Paranormal Beliefs

Introduction: Paranormal beliefs are defined as the belief in extrasensory perception, precognition, witchcraft, and telekinesis, magical thinking, psychokinesis, superstitions. Previous studies corroborate that executive brain functions underpin paranormal beliefs. To test this hypotheses, neurophysiological studies of brain activity are required. Methods: A sample of 20 students (10 girls, Mean±SD age: 22.50±4.07 years) were included in the current study. The absolute power of resting-state electroencephalogram (EEG) was analyzed in intra-hemispheric and inter-hemispheric coherence with eyes open. The paranormal beliefs were determined based on the total score of the revised paranormal belief scale (RPBS). Results: The results of this study demonstrated a significant negative relationship between paranormal beliefs and resting-state EEG in alpha band activity in the frontal lobe (left hemisphere), EEG coherence of alpha and β1, β2, and gamma band activities in the frontal lobe (right hemisphere) and coherence of alpha and β1, β2 and gamma band activities between frontal regions (two hemispheres). In addition, the results showed that coherence of α, α1, β, and β2 band activities between the frontal lobe (right hemispheres) and the EEG coherence of Δ, α1, and beta band activities in the frontal lobe (two hemispheres) predict paranormal beliefs. Conclusion: This study confirms the connection of executive brain functions to paranormal beliefs and determines that frontal brain function may contribute to paranormal beliefs. Highlights Paranormal beliefs were negatively related to the EEG coherence. Paranormal beliefs were associated with EEG coherence in the right frontal lobe. We found a negative correlation between paranormal beliefs and the EEG coherence in the frontal lobes. EEG coherence the frontal lobes predicted paranormal beliefs. Plain Language Summary Paranormal beliefs were negatively related to the EEG coherence. They were associated with EEG coherence in the right frontal lobe. In this study, we found a negative correlation between paranormal beliefs and the EEG coherence in the frontal lobes. EEG coherence the frontal lobes predicted paranormal beliefs.