Miracle-dz/UniFAR-FTUs huggingface dataset:
Extending Drivers and Barriers Model of Green Event

The increase in demand to organize business event triggers the exploration of this study in understanding the drivers of event organizers in organizing a green event in Malaysia. The understanding of these factors is important due to the demand of implementing green concept during an event among international event organizers. Thus, for this reason, the researcher has applied an exploratory study with 15 event practitioners involves in organizing business event in Malaysia. The results show that environmental commitment, commitment to promote corporate social responsibility practice, awareness to reduce environmental impact and awareness to reduce environmental impact drive the organizers commitment to apply green concept during their event are the drivers of organizing a green event in Malaysia. This study is only limited to business event in the context of Malaysia; therefore, it is suggested that future study should explore other types of event and other geographical areas. the level of greening evident in a sector at any given time. The conceptual framework proposed in this study provides a much more structured approach to greening than has appeared in earlier models. The media lens helps explain how barriers or drivers may dominate in different situations, which is an important explanatory contribution that has not been incorporated in earlier models. The general conceptual framework proposed fulﬁls the purpose of a model as explained by Loudon and Della Bitta (1993) as a way to construct theory to guide research, facilitate learning about what is presentlyknown about a behaviour and underpin strategies to enhance greening. The model can be used to underpin future research into the corporate greening process in other sectors. The speciﬁc model of greening in the business events sector illustrates the applicability of the model to speciﬁc areas, described by Pearce (2008) as
Labrador Sea subsurface density as a precursor of multidecadal variability in the North Atlantic: a multi-model study

Abstract. The subpolar North Atlantic (SPNA) is a region with prominent decadal variability that has experienced remarkable warming and cooling trends in the last few decades. These observed trends have been preceded by slow-paced increases and decreases in the Labrador Sea density (LSD), which are thought to be a precursor of large-scale ocean circulation changes. This article analyses the interrelationships between the LSD and the wider North Atlantic across an ensemble of coupled climate model simulations. In particular, it analyses the link between subsurface density and the deep boundary density, the Atlantic Meridional Overturning Circulation (AMOC), the subpolar gyre (SPG) circulation, and the upper-ocean temperature in the eastern SPNA. All simulations exhibit considerable multidecadal variability in the LSD and the ocean circulation indices, which are found to be interrelated. LSD is strongly linked to the strength of the subpolar AMOC and gyre circulation, and it is also linked to the subtropical AMOC, although the strength of this relationship is model-dependent and affected by the inclusion of the Ekman component. The connectivity of LSD with the subtropics is found to be sensitive to different model features, including the mean density stratification in the Labrador Sea, the strength and depth of the AMOC, and the depth at which the LSD propagates southward along the western boundary. Several of these quantities can also be computed from observations, and comparison with these observation-based quantities suggests that models representing a weaker link to the subtropical AMOC might be more realistic.
Why study abroad: Differences in motivation between US and international students

Globally, collegiate students possess distinct drives, opportunities, and constraints that influence their choices regarding if, when, and where to study abroad. This research explored the study abroad motivations of US students who were studying in other countries as well as international students who were studying in the US. Data was collected using a cross-sectional survey constructed from pre-existing study abroad motivation instruments. Human capital theory and the push-pull model of international education flow were used as the theoretical frameworks grounding this study’s survey. A principal components analysis helped determine the most parsimonious number of latent motivation constructs in the survey. Using independent samples t - tests, significant differences were found in motivations related to language learning, academic enrichment, avoiding social limitations, and aspiration to work in host country; these factors were significantly higher among international students as compared to US students. An ordinary least squares (OLS) regression analysis found that when holding all other independent variables constant, international student status significantly predicted language learning as a study abroad motivation. This study’s results offer insight on how colleges and universities can craft global experiences suited to students’ desires to study outside their home country. It also brings awareness to the role of country of origin in motivational factors when studying abroad and encourages stakeholders to consider the importance of cultural and national background when engaging students in these opportunities.
A conceptual framework to measure operational efficiency of Apparel Industry in emerging economies

Operational efficiency means the organisation's ability to decrease wastage of inputs and maximise resource utilisation. This could be done by increasing supply quality and eliminating the low-quality products and services for customers (Gonzalez and Alvarez, 2001). Operational efficiency is a useful measure which utilises the available resources (Gonzalez and Alvarez, 2001). In this study, researcher was able to develop a more concise conceptual framework which can be used to measure the operational efficiency of apparel industry in emerging economies. This conceptual framework is based on an extensive literature review with 50 research articles which discussed on the operational efficiency in apparel industry of emerging economies. Four different databases have been used to access the research articles in developing this conceptual framework. These are Sage, Google Scholar, Scopus and Pro Quest. This conceptual framework consists of five independent variables which are labour productivity, inventory management, technology, organisations management, supply chain management and dependent variable is operational efficiency.
On new ternary equiatomic scandium transition metal aluminum compounds ScTAl with T = Cr, Ru, Ag, Re, Pt, and Au

Abstract The new equiatomic scandium transition metal aluminides ScTAl for T = Cr, Ru, Ag, Re, Pt, and Au were obtained by arc-melting of the elements followed by subsequent annealing for crystal growth. The samples were studied by powder and single crystal X-ray diffraction. The structures of three compounds were refined from single crystal X-ray diffractometer data: ScCrAl, MgZn2 type, P63/mmc, a = 525.77(3), c = 858.68(5) pm, R1 = 0.0188, wR2 = 0.0485, 204 F2 values, 13 variables, ScPtAl, TiNiSi type, Pnma, a = 642.83(4), b = 428.96(2), c = 754.54(5) pm, R1 = 0.0326, wR2 = 0.0458, 448 F2 values, 20 variables and ScAuAl, HfRhSn type, P6̅2c, a = 722.88(4), c = 724.15(4) pm, R1 = 0.0316, wR2 = 0.0653, 512 F2 values, 18 variables. Phase pure samples of all compounds were furthermore investigated by magnetic susceptibility measurements, and Pauli-paramagnetism but no superconductivity was observed down to 2.1 K for all of them. The local structural features and disordering phenomena have been characterized by 27Al and 45Sc magic angle spinning (MAS) and static NMR spectroscopic investigations.
Clinical course of human T-lymphotropic virus type I carriers with molecularly detectable monoclonal proliferation of T lymphocytes: defining a low- and high-risk population

To characterize the prodromal phase of adult T-cell leukemia (ATL), a prospective follow-up study was conducted on 50 carriers in a putative pre-ATL state. This state was defined by the presence of molecularly-detectable monoclonal proliferation of human T-lymphotropic virus type I (HTLV-I)-infected T lymphocytes, and the absence of clinical symptoms of leukemia. The median observation time was 50 months. The pre-ATL subjects were divided into two groups according to initial white blood cell (WBC) counts: group A, those with a normal WBC count (9,000/microL) (n = 30), and group B, those with an increased WBC count (9,000 to 15,000) (n = 20). Comparisons were made between the two groups and with a group of 25 patients with chronic ATL (group C) who had WBC counts of more than 15,000. Significant differences in survival rate were found between groups A and B (10-year survival 65.7%) and group C (32.8%) (P < .01), and between group A (10-year survival 90.0%) and group B (52.1%) (P < .05). The incidence of transformation to overt ATL was 10% (3 of 30) in group A and 50% (10 of 20) in group B (P < .01). In six transformed cases (one in A and five in B) we found exactly the same integration sites in pre-ATL and overt ATL phases, confirming the multistep leukemogenesis hypothesized for this disease. However, the pre-ATL subjects could be divided into two distinct prognostic groups based on the initial WBC count; those with good and those with poor prognosis. Although the 10% transformation rate (2.5% annually) in group A seemed to be extremely high compared with that in the general population of HTLV-I carriers (around 0.06% to 0.4% annually), the majority of group A subjects and some in group B showed stable clinical courses without transformation. Further, development of ATL was not observed in four group A subjects with HTLV-I-associated myelopathy (HAM), which is rarely associated with ATL. We propose to call this group of rather benign HTLV-I carriers "HTLV-I carriers with monoclonal proliferation of T lymphocytes (HCMPT). " Thus far we have been unable to identify reliable parameters other than WBC counts that prospectively distinguish HCMPT from the true pre-ATL state, in which there is a high probability of developing ATL. Further clinical and biologic approaches should elucidate the natural history of the HTLV-I carrier state and early events in ATL leukemogenesis.
The enhanced photocurrent of epitaxial BiFeO3 film at 130 °C

The short-circuit photocurrent (ISC) that can be reversed by polarization switch enhances with temperature increasing to 130 °C in the epitaxial BiFeO3 thin film on SrTiO3 substrate. The La2/3Sr1/3MnO3/BiFeO3/indium tin oxide (In2O3:SnO2 = 9:1) junction shows the current rectifying characteristic and the photovoltaic effect at 20–130 °C. Importantly, the ISC can be reversed by the polarization switch in this temperature range. More charge carriers are activated and the density of free electrons enhances with the increase in the temperature, which results in the decrease in the depletion layer width. As a result, the open-circuit voltage decreases 50% and the ISC increases from 180 nA to 404 nA with the increase in the temperature from 20 °C to 130 °C. This suggests that the corresponding sensors and devices can be used at a relatively high temperature.
Pengaruh Pengalaman Audit, Skeptisme Profesional Dan Time Pressure Terhadap Kemampuan Auditor Mendeteksi Fraud

The research purposes to obtain and understand the empirical evidence about audit experience, auditor’s professional scepticism and time pressure toward auditor’s ability to detect fraud. The research method used was quantitative by using primary data questionnaires to the Public Accounting Firm in Center Jakarta. Sample taking method on this research is using simple random sampling. The result showed that audit experience and auditor’s professional scepticism have positive and significant effect on auditor’s ability to detect fraud, time pressure has negative and significant effect on auditor’s ability to detect fraud.
TEACHING HIGHER ORDER THINKING SKILLS IN MATHEMATICS CLASSROOMS: GENDER DIFFERENCES

This case study aims to explore how male and female Indonesian mathematics teachers enact decision-making processes in teaching High-Order Thinking Skills (HOTS). Non-random purposive sampling technique was used to select the participants. The participants involved in this study were two Indonesian mathematics teachers who teach HOTS in their classrooms. The participants were chosen from 87 Indonesian mathematics teachers in 23 secondary schools in East Java, Indonesia, who were invited to our survey and confirmed that they taught HOTS and underwent classroom observation. Data were collected from classroom teaching and interview sessions. The data of classroom teaching consisted of a video-audio recording of two meetings and field notes of observation. In the interview session, we recorded the teachers’ responses during semi-structured interviews. We coded and explained our interpretation for each code. We also conducted investigator triangulation by comparing coding and interpretation made by two researchers and discussing them to find the best representation of the meaning of the data. Our findings indicate that both male and female teachers performed four steps of decision making, consisting of giving problems, asking students to solve, checking, and obtaining new ideas. The difference of male and female teachers’ decision-making process is observed in the process of giving problem (non-contextual vs contextual), how they ask students to solve and check the solution (individual vs group), and the criteria of the new idea of problem-solving (correct vs the best solution). The study findings can be a catalyst for enacting decision-making steps in teaching HOTS. Also, these can be a reflective practice for mathematics teachers to improve their teaching quality.
The age-stratified analytical model for the spread of the COVID-19 epidemic

The previously developed ASILV model for calculating epidemic spread under conditions of lockdown and mass vaccination was modified to analyse the intensity of COVID-19 infection growth in the allocated age groups. Comparison of the results of calculations of the epidemic spread, as well as the values of the seven-day incidence values with the corresponding observation data, shows their good correspondence for each of the selected age groups. The greatest influence on the overall spread of the epidemic is in the 20-40 age groups. The relatively low level of vaccination and the high intensity of contact in these age groups contributes to the emergence of new waves of the epidemic, which is especially active when the virus mutates and the lockdown conditions are relaxed. The intensity of the epidemic in the 90+ age group has some peculiarities compared to other groups, which may be explained by differences in contact patterns among individuals in this age group compared to others. Approximate ratios for estimating mortality as a function of the intensity of infection for individual age groups are provided. The proposed stratified ASILV model by age group will allow more detailed and accurate prediction of the spread of the COVID-19 epidemic, including when new, more transmissible versions of the virus mutate and emerge.
The Temporal Correlation Between Positive Testing and Death in Italy: From the First Phase to the Later Evolution of the COVID-19 Pandemic

After the global spread of the novel coronavirus disease 2019 (COVID-19), research has concentrated its efforts on several aspects of the epidemiological burden of pandemic. In this frame, the presented study follows a previous analysis of the temporal link between cases and deaths during the first epidemic wave (Phase 1) in Italy (March-June 2020). We here analyze the COVID-19 epidemic in the time span from March 2020 to June 2021. The elaboration of the curves of cases and deaths allows identifying the temporal shift between the positive testing and the fatal event, which corresponds to one week from W2 to W33, two weeks from W34 to W41, and three weeks from W42 to W67. Based on this finding, we calculate the Weekly Lethality Rate (WLR). The WLR was grossly overestimated (~13.5%) in Phase 1, while a mean value of 2.6% was observed in most of Phase 2 (starting from October 2020), with a drop to 1.4% in the last investigated weeks. Overall, these findings offer an interesting insight into the magnitude and time evolution of the lethality burden attributable to COVID-19 during the entire pandemic period in Italy. In particular, the analysis highlighted the impact of the effectiveness of public health and social measures, of changes in disease management, and of preventive strategies over time.
Deep Bayesian Neural Networks for Fault Identification and Uncertainty Quantification

Summary The interpretation of faults within a geological basin or reservoir from seismic data is a time-consuming, and often manual task associated with high uncertainties. Recently, numerous approaches using machine learning, especially various types of convolutional neural networks, have been presented to automate the process of identifying fault planes within seismic images, which have been shown to outperform traditional fault detection techniques. While these proposed methods show good performance, many of these approaches do not allow investigation of the associated uncertainties that arise in the fault identification process. In this study, we present an application of Bayesian deep convolutional neural networks for identifying faults within seismic datasets. Using an approximate Bayesian inference method a Bayesian deep neural network was trained on a large dataset of synthetic faulted seismic images. The model is then applied to a benchmark dataset and a real data case from NW shelf Australia to identify fault planes, and to investigate the associated uncertainty in the predictive distribution.
Effectiveness of multimodal nutrition interventions during pregnancy to achieve 2009 Institute of Medicine gestational weight gain guidelines: a systematic review and meta-analysis

Abstract Background In 2009, the Institute of Medicine (IOM) published a revision to its 1990 recommendations on gestational weight gain (GWG). The objective of this review is to update a previous systematic review and meta-analysis to evaluate the effectiveness of nutrition interventions in achieving recommended GWG. Methods We conducted updated literature searches in MEDLINE® (2012 through 2019), Web of Science (2012 to 6 February 2017), Embase (2016 through 2019), and Cochrane Central Register of Controlled Trials (2012 through 2019). Literature published before January 2012 was identified from a published systematic review. We included controlled trials conducted in the U.S. or Canada among generally healthy pregnant women that compared nutrition interventions with or without exercise to controls (e.g., usual care) and reported total GWG or rate of GWG based on the 2009 IOM GWG guidelines. Two independent investigators conducted screening, data extraction, and risk-of-bias (ROB) assessment. Random-effects meta-analyses were conducted when data were sufficient. Results Eighteen unique studies were included, of which 11 were conducted in women with overweight or obesity. Nutrition interventions, compared to controls, had a similar effect on total GWG (mean difference = −1.24 kg; 95% CI [−2.65, 0.18]; I2=67.6%) but significantly decreased second and third trimester rate of GWG (−0.07 kg/week; 95% CI [−0.12, −0.03]; I2=54.7%). Nutrition interventions also reduced the risk of exceeding IOM’s rate of GWG targets (pooled RR = 0.71; 95% CI [0.55, 0.92]; I2=86.3%). Meta-analyses showed no significant differences in achieving IOM’s total GWG or any secondary outcome (e.g., preterm birth or small/large for gestational age) between groups. Most studies were assessed as having some or high ROB in at least two domains. Conclusion Multimodal nutrition interventions designed to meet the 2009 IOM’s GWG targets may decrease the rate of GWG over the second and third trimesters but may not decrease total GWG. Key messages Excessive gestational weight gain is associated with higher risk of many adverse maternal and fetal outcomes and represents a public health concern in the United States and Canada. Nutrition interventions designed to meet the 2009 IOM GWG guidelines may decrease the rates of GWG over the second and third trimesters but may not be effective at reducing total GWG.
Long-Term Increases in Mental Disorder Diagnoses After Invasive Mechanical Ventilation for Severe Childhood Respiratory Disease: A Propensity Matched Observational Cohort Study*

Supplemental Digital Content is available in the text. OBJECTIVES: To evaluate neurodevelopmental and mental disorders after PICU hospitalization in children requiring invasive mechanical ventilation for severe respiratory illness. DESIGN: Retrospective longitudinal observational cohort. SETTING: Texas Medicaid Analytic eXtract data from 1999 to 2012. PATIENTS: Texas Medicaid-enrolled children greater than or equal to 28 days old to less than 18 years old hospitalized for a primary respiratory illness, without major chronic conditions predictive of abnormal neurodevelopment. INTERVENTIONS: We examined rates of International Classification of Diseases, 9th revision–coded mental disorder diagnoses and psychotropic medication use following discharge among children requiring invasive mechanical ventilation for severe respiratory illness, compared with general hospital patients propensity score matched on sociodemographic and clinical characteristics prior to admission. Children admitted to the PICU for respiratory illness not necessitating invasive mechanical ventilation were also compared with matched general hospital patients as a negative control exposure. MEASUREMENTS AND MAIN RESULTS: Of 115,335 eligible children, 1,351 required invasive mechanical ventilation and were matched to 6,755 general hospital patients. Compared with general hospital patients, children requiring invasive mechanical ventilation had increased mental disorder diagnoses (hazard ratio, 1.43 [95% CI, 1.26–1.64]; p < 0.0001) and psychotropic medication use (hazard ratio, 1.67 [1.34–2.08]; p < 0.0001) following discharge. Seven-thousand seven-hundred eighty children admitted to the PICU without invasive mechanical ventilation were matched to 38,900 general hospital patients and had increased mental disorder diagnoses (hazard ratio, 1.08 [1.02–1.15]; p = 0.01) and psychotropic medication use (hazard ratio, 1.11 [1.00–1.22]; p = 0.049). CONCLUSIONS: Children without major comorbidity requiring invasive mechanical ventilation for severe respiratory illness had a 43% higher incidence of subsequent mental disorder diagnoses and a 67% higher incidence of psychotropic medication use. Both increases were substantially higher than in PICU patients with respiratory illness not necessitating invasive mechanical ventilation. Invasive mechanical ventilation is a life-saving therapy, and its application is interwoven with underlying health, illness severity, and PICU management decisions. Further research is required to determine which factors related to invasive mechanical ventilation and severe respiratory illness are associated with abnormal neurodevelopment. Given the increased risk in these children, identification of strategies for prevention, neurodevelopmental surveillance, and intervention after discharge may be warranted.