Miracle-dz/UniFAR-FTUs huggingface dataset:
Surgical Outcomes in Patients with Simultaneous Traumatic Brain and Torso Injuries in a Single Regional Trauma Center over a 5-Year Period

Purpose: The purpose of the study is to analyze the results of surgical treatment of patients with brain and torso injury for 5 years in a single regional trauma center.Methods: We analyzed multiple trauma patients who underwent brain surgery and torso surgery for chest or abdominal injury simultaneously or sequentially among all 14,175 trauma patients who visited Dankook University Hospital Regional Trauma Center from January 2015 to December 2019.Results: A total of 25 patients underwent brain surgery and chest or abdominal surgery, with an average age of 55.4 years, 17 men and eight women. As a result of surgical treatment, there were 14 patients who underwent the surgery on the same day (resuscitative surgery), of which five patients underwent surgery simultaneously, four patients underwent brain surgery first, and one patient underwent chest surgery first, four patients underwent abdominal surgery first. Among the 25 treated patients, the 10 patients died, which the cause of death was five severe brain injuries and four hemorrhagic shocks.Conclusions: In multiple damaged patients require both torso surgery and head surgery, poor prognosis was associated with low initial Glasgow Coma Scale and high Injury Severity Score. On the other hand, patients had good prognosis when blood pressure was maintained and operation for traumatic brain injury was performed first. At the same time, patients who had operation on head and torso simultaneously had extremely low survival rates. This may be associated with secondary brain injury due to low perfusion pressure or continuous hypotension and the traumatic coagulopathy caused by massive bleeding.
Parental Communication Increases Student Learning Motivation in Elementary Schools

There is still a lack of parental communication on students' learning motivation at the elementary school level. It has an impact on the level of student learning motivation that is less. This study aims to analyze parental communication on students' learning motivation in the learning process of Islamic religious education. This type of research is a mixed-method, namely quantitative and qualitative with an explanatory design. The subjects in this study were parents and elementary students. Data collection techniques used in this study were the distribution of questionnaires and interviews. The data analysis method used is a quantitative descriptive analysis by testing the findings using apps, record results, and concluding. Quantitative description by distributing questionnaires and conducting interviews. The results showed differences and influences between parental communication and student learning motivation in Islamic religious education subjects. So, it can be concluded that parental communication on student learning motivation has been carried out very well, although not optimally. Parental communication has been done well so that students' learning motivation will also increase and impact increasing student learning discipline.
Flipped classroom model applications in computing courses: Peer‐assisted groups, collaborative group and individual learning

The Flipped Classroom (FC) provides various opportunities to ensure active learning in a student‐based learning environment. In the literature, it is pointed out that the FC model provided a positive contribution to the teaching process when it was used for learning environments in past studies. Besides this, it is seen that FC was integrated into a learning method and the results were generally associated with only FC. From this point of view, it is thought that the methodological effect of FC needs to be examined. The aim of this study is to identify whether the use of different models (peer‐assisted group: PAL‐FC, collaborative group: SGCL‐FC, and individual learning: IL‐FC) in FC for computing courses of university students has an effect on academic performances, learning motivation, academic self‐efficacy, computer anxiety of the university students, and flipped learning readiness. This study is designed with a mixed method. The working group of the study is composed of 242 university students. The application lasted for 14 weeks. In this study, data have been collected by a Personal Information Form, semi‐structured interview form, information technologies achievement test, and four different data collection tools. As a result of the research, it is found out that different applications in the FC model have a significant effect on academic success, academic self‐efficacy, e‐learning readiness in FC. FC model application with PAL‐FC has proved more successful when compared to other methods in terms of developing performance and reducing technology anxiety. Also, it is seen that motivation and academic self‐efficacy in FC has improved positively for collaborative group work.
Statistics of the earthquakes in the central Himalaya and its vicinity in last 56 years, with an emphasis in the 25 April 2015 Gorkha, Nepal earthquake

To understand the variation of stress levels in the region 80°E – 89°E and 26°N – 31°N, the statistical analysis of earthquake frequency-magnitude distribution and spatio-temporal variation of fractal correlation dimension of earthquake epicenter distribution are estimated. The analysis is carried out on declusterised catalogue containing 1185 events of 56 years from February 1964 to November 2020. The study area is divided into three regions the western Nepal and vicinity (Region A), central Nepal and vicinity (Region B) and eastern Nepal and vicinity (Region C), respectively. The magnitude of completeness (Mc) varies from 3.6 to 4.0 for the study period. The spatial fractal dimension (Dc) and b-value are calculated as 1.89 ± 0.02 and 0.68 ± 0.03 for the western Nepal, 1.76 ± 0.01 and 0.60 ± 0.05 for the central Nepal, whereas they are estimated as 1.85 ± 0.02 and 0.63 ± 0.03 for the eastern part of the Nepal. The b-values obtained for all three regions are very low comparing to global average value of 1. The time clustering of the events in the respective regions are 0.26 ± 0.003, 0.31 ± 0.004 and 0.26 ± 0.02 as indicated by temporal fractal dimension (Dt). The higher Dc, lower b and Dt values associated with the regions indicate high stress concentration and stronger epicenter clustering in these regions. The strongly increasing trend of fractal dimension and strongly decreasing trend of b-value show the high probabilities of occurring the large earthquake in both central Nepal (82.5°E – 85.5°E and 27.5°N – 30°N) and eastern Nepal (85.5°E – 88.2°E and 26.45°N – 28.6°N) as compared to western Nepal (80°E – 82.5°E and 28°N – 30.5°N). This statistical analysis of spatial and temporal characteristics of the earthquake activity may give significant signs of the future seismic hazard along central Himalaya region.
E-Learning System Success Adoption in Indonesia Higher Education

This study aims to analyze the success of the e-learning system, which is influenced by learner computer anxiety, social influence, perceived usefulness, and usage satisfaction. This study uses a survey, with the respondents being students at universities in the Special Region of Yogyakarta, Indonesia. The number of respondents is 250 people. The sampling technique is purposive sampling, and the data analysis method uses a structural model, namely PLS-SEM. The results showed that the e-learning adoption success model was accepted. However, this study's results showed that the effect of perceived usefulness and learner computer anxiety on adoption is not significant. This research has a novelty related to adopting innovations, namely e-learning in forced conditions, and there is no choice but online learning, which must be done during the Covid-19 pandemic. This research contributes to the support of the technology adoption theory by users in situations of involuntary adoption. Received: 14 October 2021 / Accepted: 30 November 2021 / Published: 3 January 2022
Factors Influencing the Extent of Corporate Compliance with International Financial Reporting Standards in South Africa

The main objective of this study is to investigate the effects of company attributes on compliance with International Financial Reporting Standards (IFRS). The study used a sample of 46 listed companies on the Johannesburg Stock Exchange (JSE) covering the period from 1993 to 2017. With an average compliance level of 88.21304, it is concluded that South Africa’s listed firms have significantly complied with IFRS 1. Using panel data to analyze the effects of company attributes, size and leverage have a significant positive effect on IFRS 1 compliance. On the other hand, the coefficients of Earnings Per Share (EPS) and Return on Total Assets (ROTA) are negative and significant. This similarly implies that ROTA and EPS are important factors driving the compliance level of the companies in South Africa with the IFRS 1 disclosure. EPS and ROTA also exhibit an inverse relationship with the compliance level. Carrying out a longitudinal study helps to produce more recent evidence on the quality of IFRS financial reports in South Africa. The outcome of the study is beneficial to international literature as it provides enough evidence on the benefits of adopting IFRS adoption.
Kinetic study of the effect of sub-atmospheric conditions on the laminar burning velocity of high C2H6 content natural gas mixtures

The laminar burning velocity (S L) was measured at sub-atmospheric pressure (0.84 atm) and an environmental temperature of 295 ± 2 K for two high C2H6 content fuel mixtures, 75% CH4 – 25% C2H6 (mixture M1), and 50% CH4 – 50% C2H6 (mixture M2), as well as the pure constituent fuels. The equivalence ratios for the experiments ranged between 0.8 and 1.4. Numerical calculations predicting S L were performed using 3 detailed reaction mechanisms, finding GRI-Mech 3.0 to achieve the best agreement at the pressure conditions evaluated. The pre-exponential factor of reaction H + O2 = O + OH (R38) was modified in order to improve the numerical results at sub-atmospheric conditions. Kinetic analysis by means of the defined reaction factor ( ) was carried out to identify the mechanism for S L changes at sub-atmospheric conditions. According to the experimental results, S L increased by 15.9% and 26.3% for mixtures M1 and M2, respectively, at 0.84 atm as compared to 1.0 atm. The reaction pathways elaborated employing F R indicate that the increase in S L at sub-atmospheric conditions is caused by increased CH3 radical production by reaction C2H5 + H = 2CH3 (R159), which increases the formation of H radical through reactions O + CH3 = H + CH2O (R10) and O + CH3 = H + H2 + CO (R284). The recombination reactions associated with the production of CH4 and C2H6 also contribute to S L increases at sub-atmospheric conditions.
Radiation noise analysis using the results of power flow finite element method

The sound radiation prediction program is developed using the power flow finite element method(PFFEM) analysis result.PFFEM is a new method used for the prediction of the vibration energy density and intensity of arbitrary shape structures in medium to high frequency ranges.The boundary element method can be used for the sound radiation calculation.Combining the two methods,sound radiation properties can be predicted effectively.With the program daveloped here,the vibration and radiation characteristics of complex system structures such as submarine are predicted.
Measuring Math Anxiety Among Predominantly Underrepresented Minority Undergraduates Using the Abbreviated Math Anxiety Scale

Many students experience math anxiety, which can negatively affect their academic achievement and even their career choices. One of the most commonly used methods to assess math anxiety is the Abbreviated Math Anxiety Scale (AMAS). Despite the ubiquity of this measure, there is a lack of studies assessing its validity. Moreover, almost all studies have administered the AMAS to a predominantly (>75%) White sample. The present study assessed the validity of the AMAS in a largely underrepresented minority-student (Hispanics and Blacks) sample. The construct validity of the scale was established by showing that students’ AMAS was predictive of both their actual (objective) and predicted (subjective) performance on an arithmetic task. The factor structure of the measure was validated by confirming that the two-factor model was a better fit than the one-factor model. Gender invariance was supported using multi-group confirmatory factor analyses. Overall, the results of the present study provide further evidence on the validity of the AMAS and its use among underrepresented minority college students.
Design of a 3-way wide-band in-phase power combiner for UHF applications

ABSTRACT In this work, a three-way wide-band in-phase power combiner for ultra-high frequency band (UHF) applications is presented. The proposed power combiner is a modification of the conventional 3-way Wilkinson power combiner. In the proposed power combiner, the floating isolation-resistors are replaced by coaxial baluns and 50-Ω terminations. This configuration is suitable for high-power applications as flange-mount terminations exhibit superior frequency response and heat conduction compared to floating resistors. The coaxial baluns, connected in the star configuration, help for isolation and input-ports matching. The characteristic impedance of coaxial baluns is 50-Ω and is matched to the terminations. This property serves for a broad bandwidth. Even- and odd-mode methods are employed for the analysis and design of the power combiner. To validate the design method and the theoretical results, a three-way power combiner is fabricated, which consists of microstrip, coaxial-cables and some 50-Ω terminations. The combiner provides 20-dB isolation and summing-port return-loss over an octave bandwidth. The operating frequency is between 470 and 860 MHz, which is used for digital video broadcasting–terrestrial (DVB-T).
Impact of Posture and Social Features on Pedestrian Road-Crossing Trajectory Prediction

A comparative experiment on machine learning (ML)-based pedestrian trajectory prediction was conducted in this study. The study was aimed at improving functional capabilities, where pedestrian safety is the key, such as in relation to intelligent transportation, autonomous vehicles, and automated-guided vehicles. In this article, the effects of integrating social and posture features into pedestrian trajectory prediction are explored. The experimental results show that incorporating social and posture features can improve the accuracy of pedestrian trajectory prediction. Furthermore, various deep learning (DL) models were adopted and compared to deal with these different types of features. Our work shows that a DL approach can handle complex features better than conventional ML. To enable the neural network process different types of data, four types of networks are designed, namely, C-network, S-network, P-network, and SP-network, which are a 2-D convolutional neural network (CNN) with only coordinates, 2-D CNN with the social feature, 2-D CNN with posture features, and 3-D CNN with social and posture features, respectively. The angle mean square errors (MSEs) of SP-network are 4.99, 1.31, and 0.05 less than those of C-network, S-network, and P-network, respectively. The scalar MSEs of SP-network are 0.204, 0.024, and 0.154 less than those of C-network, S-network, and P-network, respectively. Moreover, feature visualization and importance are discussed. It is concluded that the posture features make it possible to separate features with different scalars and angles. It is also shown that the most important posture feature is the edge of the shoulders.
Extra Virgin Olive Oils with High Phenolic Content as an Ingredient of Artisanal Ice Cream: Consumer Acceptance

ABSTRACT We aimed to evaluate the acceptance of artisanal ice cream prepared with extra virgin olive oil (EVOO) as the main lipid ingredient. Two formulations were developed using an EVOO from Brazil (BrEVOO) and another from Greece (GrEVOO), both with high content of phenolics. Acceptance test using a hedonic scale was applied. Principal component analysis (PCA) and multiple linear regression (MLR) analysis were carried out to highlight significant attributes affecting the ice cream acceptance. No statistical significant differences (p > .05) were observed between ice creams for aroma, flavor, consistency, appearance, and overall acceptance. Regarding PCA, the first two components explained 80% of the total variability and allowed us to observe that the global acceptance was mainly correlated with aroma and flavor. We conclude that EVOOs can be an effective ingredient to promote functional and/or health properties of novel foods.
Representation of Land-Atmosphere Coupling Processes Over Africa in CMIP6 Models

Climate models are useful tools that aid in short to long term prediction of the evolution of climate. In this study we assess how CMIP6 models represent coupling between processes over the land and atmosphere, based on terrestrial and atmospheric indices, to show the nature and strength of the coupling relative to the ERA5 datasets over Africa, with a particular focus on the March-May season. Characterization of the annual cycle indicates that model biases are highest during the peak of the rainfall season, and least during the dry season, while soil moisture biases correspond with rainfall amounts. Models show appreciable sensitivity to regional characteristics; there was model consensus in representing East Africa as a limited soil moisture regime, while major differences were noted in the wet regime over Central Africa. Most CMIP6 models tend to over-estimate the strength of the terrestrial and atmospheric pathways over East and Southern Africa. Inter-model differences in coupling indices could be traced to their inter-annual variability rather than to the mean biases of the variables considered. These results are good indicators towards scientific advancement of land surface schemes in the next generation of climate models for better applications in Africa.
Business Continuity: Application of The Value of Catur Purusa Artha and Product Innovation in Holding Company of BUMDes

Business management based on the local culture of catur purusa artha by making dharma (truth) the basis for carrying out all its activities, creating internal conditions in the form of a conducive work climate. This study aims to examine the application of the value of catur purusa artha and product innovation in creating business continuity. The research population is all active BUMDes in Buleleng Regency. Sampling in this study using random sampling technique in order to obtain as many as 92 observational data. The data analysis technique used in this study was the Component based SEM, Partial Least Square (PLS) analysis method. The results showed that the value of Catur purusa artha had a significant effect on product innovation. Product innovation has a significant effect on business continuity and the value of catur purusa artha affects business continuity through product innovation. This study also found that business management based on the local culture of Catur Purusa Artha by making dharma (truth), as the basis for carrying out all its activities, creates internal conditions in the form of a conducive work climate. BUMDes managers, including all employees who work comfortably based on dharma, have actually come up with creative ideas in product development. Management of business units based on dharma provides awareness to act in the truth and creates an environment that minimizes abuse of authority, including various other forms of wrongdoing. The concept of dharma also emphasizes to always provide good service to customers.
Prevalence of Malnutrition and Stunting in Under Five Creche of a Rural Private School in Owerri North, Imo State

The prevalence of malnutrition and stunting in under five Creche of any rural private school in Owerri North L. G. A was investigated. Owerri North is made up of seven districts namely Egbu, Emekuku, Emii, Ihitte/Ogada/Oha, Naze, Obibi-Uratta and Orji. A random selection of four schools were made and the schools include; Oxford Foundation Academy, Ulakwo, Rhema Kiddies School, Amaorie, Noble Star Academy, Orji and St. Carols Nursery and Primary School, Ulakwo. These schools were selected because they meet the set out standard and quality for Nursery Education. The study adopted a cross-sectional design involving 250 pupils from four schools. Simple random selection by balloting was used to select the children from the schools. The questionnaire was validated and pre-tested by lecturers in the Nutrition and Dietetics Department, and data on anthropometric indices- weight and height, BMI and MUAC; socio-demographic status, dietary pattern and frequency of food consumption were collected. Results obtained showed that one hundred and twelve (44.8%) under five were males while 138 were females (55.2%). About 209 (83.6%) were from Imo state and of the Igbo ethnic group240 (96%). Five (2%) of the respondents were between the ages of 6 to 12 months, 114 (45.6%) were aged between 1 to 3 years, and 130 (52%) were aged 3 to 5 years. The socio-demographic data of the respondents showed that was 2.8%, stunting 3.2%, and underweight was 1.6%. The mid-upper arm circumference measurement showed that only 3 (1.2%) of the children were malnourished, while 242 (96.8%) were normal. This study shows that stunting, underweight and wasting results from a complex interaction of factors. Poor Socioeconomic and environmental conditions are important determinants of nutritional status. Poor nutrition knowledge as a re3sult of limited access to nutrition education also leads to poor food choice by the mothers. Therefore, education of women should be treated with utmost priority because it will help raise the standard of living of the family and pave way for a better socio-economic status and healthier food choice.
The effects of induced sadness, stress sensitivity, negative urgency, and gender in laboratory gambling

ABSTRACT Previous research indicates that the invigorating effect of stress sensitivity on gambling behavior might be moderated by individual differences. The current preregistered study tested whether gender and negative urgency (i.e. an emotion-related impulsivity trait) moderate the relationship between perceived stress and laboratory gambling following experimentally induced sadness. One hundred twenty college students were randomly assigned to a sadness versus a control condition before completing a laboratory gambling task. Although the distribution of the main study variables forced us to slightly deviate from the preregistered data analysis plan, we were able to show that heightened stress sensitivity affects gambling behavior and that this effect differs by gender (but not in terms of negative urgency) under conditions of sadness versus neutral mood. Men with high stress sensitivity gambled more money and more frequently selected the riskier betting option in the sadness condition, whereas women with heightened stress sensitivity display the same pattern in the neutral condition. Our study is relevant from a methodological standpoint and answers recent calls for endorsing open-science practices in gambling research. Findings also suggest that more research into female gambling is warranted and that emotion-regulation skills should be a central component of problem gambling prevention.