Miracle-dz/UniFAR-FTUs huggingface dataset:
Discrete achievement emotions as mediators between achievement goals and academic engagement of Singapore students

Abstract This study investigated discrete achievement emotions (enjoyment, pride, boredom, and anxiety) as simultaneous mediators between achievement goals (mastery goals, performance-approach goals, and performance-avoidance goals) and academic engagement (cognitive engagement, effort withdrawal, and novelty avoidance). The data were collected using an online questionnaire with a sample of secondary school students (n = 1939) in Singapore. With gender, stream, and grade controlled, we conducted structural equation modelling to test the hypothesised mediation model. We found that achievement goals had a differential relationship with the four achievement emotions, which in turn showed a distinct association with engagement variables. Achievement emotions as mediators partly explained the differential relationship between achievement goals and academic engagement. In particular, the findings highlight the complex meaning of enjoyment and anxiety and the adaptive role of mastery goals in student learning.
Pervasive Refusal Syndrome: Three Case Reports—Autism as a Predisposing Factor and Gentle Coercion to Shorten Duration of Disorder?

Background Pervasive refusal syndrome (PRS) is a severe child psychiatric syndrome not yet included in the international classification and mostly affecting girls aged 7-15 years. Hospital admission and severe loss of function extend for many months and years but most recover. Autism has been suggested as a predisposing factor but largely lacks support for typical cases of PRS. Treatment is not evidence-based and described as requiring a lengthy inpatient stay with a very gradual and sensitive rehabilitation program. Case Presentations. Three cases of pervasive refusal syndrome (PRS) in girls aged 9–16 years are presented to report autism as a predisposing factor and to discuss gentle coercion as part of the management strategy to speed up the lengthy recovery. The cases, which met the proposed criteria and typical background characteristics, were noted with the addition of undiagnosed autism in two cases. The duration of inpatient admission was 8–14 months. Disease duration was 15-36 months. An adequate but negative lorazepam trial to rule out catatonia was carried out. Treatment was in one case successfully expedited with gentle coercion within a transparent management plan. Rehabilitation was slower in PRS with comorbid autism; additionally, accommodations to school and living support needed to be put in place. Conclusions PRS is a useful clinical entity and best perceived as a primitive reaction to overwhelming stress rather than as catatonia. Autism might be another predisposing factor and needs to be assessed. A psychoeducational approach and a clear management plan support rehabilitation. A gentle coercion might hasten recovery.
Impact of Covid-19 on Teaching-Learning Perception of Faculties and Students of Higher Education in Indian Purview

The education system has been brought to a halt due to pandemics around the globe. This study outlines the effect of Covid-19 on the teaching-learning perception of faculties and students of higher education in India. The recent pandemic has provided an impetus for the improvements in teaching and implementation of virtual education. Given the lack of information about how long the pandemic will go on, the demand for the current crisis is a steady move to e-education. The authority has introduced several e-platforms with online shops, e-contents, and other online material. Combining conventional technology (radio, TV, landline phone) with mobile/web technologies would improve connectivity and versatility with all tools. The paper employed a quantitative method to examine the perceptions of teachers and students’ perceptions of e-teaching and e-learning methods. It underlined the application practice of online teaching-learning modes by considering 500 respondents. This study aims to give a holistic view of the ongoing online teaching-learning activities during the pandemic lockdown. The study also found no considerable difference between teacher/learner satisfaction during this academic disruption. Soil recommendations, managerial implications, future scope and conclusion can also be helpful for policymakers, academics, and content analytics to draw a plan of action for e-learning.
Statistical Geometric Models of a Driver’s Hip & Eye Location and Sitting Strategies of Driving Postures

Objective: The present study is intended to develop statistical geometric models (SGMs) which predict a driver’s hip & eye location (HL & EL) and to identify sitting strategies which statistically represent various characteristics of preferred driving postures. Background: Although the previous researches have developed HL & EL prediction models and identified sitting strategies, the existing HL & EL prediction models have a limitation in terms of prediction accuracy and the analysis method of sitting strategies was not objective and the effect of driver’s gender/occupant package layout (OPL) to the sitting strategy has not been clearly analyzed. Method: 40 drivers’ preferred driving postures in 3 different OPL conditions (coupe, sedan, SUV) were measured by a motion capture system and the measured data were synchronized with RAMSIS humanoid which can extract the driving postures, HL & EL information of the participants. SGMs were developed by multiple regression analysis of geometric equations for driver’s posture variables, anthropometric variables and HL & EL. Siting strategies were identified by cluster analysis of participants’ preferred driving postures. Results: An adj. R² of the developed SGMs was increased by 1.6 times in average and RMSE was decreased by 15% in average comparing with the existing Reed et al. (2002)’s models. Sitting strategies were identified as erect (33% of drivers were preferred), slouched (41%), and reclined postures (26%) and the number of participants who preferred erect posture, female drivers was significantly more than twice that of male drivers. Conclusion: SGMs which can accurately predict a driver’s HL & EL were developed and sitting strategies which can statistically represent drivers’ preferred postures were identified. Application: Both the developed SMGs and identified sitting strategies would be of use as considerable information in ergonomic design/evaluation of automobile interior layout.
Double Hybrid Tailsitter Unmanned Aerial Vehicle with Vertical Takeoff and Landing

We propose a new concept and architectural design for a double hybrid tailsitter unmanned aerial vehicle with vertical takeoff and landing capability. Basically, it consists of a modified flying wing with a single combustion powertrain set and a multirotor with 2 powertrain sets with electric motors. To this end, we have designed, built, and tested a prototype that spends less energy on vertical taking off and landing and also on horizontal flight, for maximizing flight endurance and distance.With electric propellers fixed at the leading wing edge, the tailsitter has two standard surfaces for elevation control and two vertical stabilizers that are used to give the necessary direction on vertical takeoff and landing. Experiments and results show the versatility of our hybrid tailsitter for operations in a restricted field. We performed several tests starting with the aircraft on the ground in vertical positioning. These tests include executing vertical takeoffs and landing, transitions from vertical to horizontal flight modes and transitions back from horizontal to vertical flight modes, and hovering, which were carried out successfully. Transition fourth and back from combustion to multirotor modes are inherent to some of those flight mode transitions, which have been performed smoothly.We also performed tests (in bench) to estimate the flight endurance. Final autonomous flight adjustments were not performed due to the Covid-19 pandemic caused by SARS-CoV-2. To this end the proposed and currently built prototype has proven to be functional as an effective hybrid UAV system.
Small-sided games: alternative exercise to improve cognitive performance of youth futsal players

Abstract Small Sided Games are an alternative exercise for athletes to improve cognitive performance which functions as a matter of quick decision making during a match. This study aims to determine in reality the application of SSG exercises to the cognitive performance of adolescent futsal athletes. This research is a type of experimental research using a one class pretest-postest design. The number of samples of the study were 20 youth futsal athletes in Banyumas Regency. The research instrument used in this study was the WAIS IV digit span test. The analysis used was the normality test, homogeneity, and paired sample t-test with a significance level of 0.05. The results of the research conducted showed that: there was a significant effect of small sided games training prizes on the cognitive performance of futsal athletes. It was shown that there would be a t-test of 0.017.
Semantic Expectation Effects on Object Detection: Using Figure Assignment to Elucidate Mechanisms

Recent evidence suggesting that object detection is improved following valid rather than invalid labels implies that semantics influence object detection. It is not clear, however, whether the results index object detection or feature detection. Further, because control conditions were absent and labels and objects were repeated multiple times, the mechanisms are unknown. We assessed object detection via figure assignment, whereby objects are segmented from backgrounds. Masked bipartite displays depicting a portion of a mono-oriented object (a familiar configuration) on one side of a central border were shown once only for 90 or 100 ms. Familiar configuration is a figural prior. Accurate detection was indexed by reports of an object on the familiar configuration side of the border. Compared to control experiments without labels, valid labels improved accuracy and reduced response times (RTs) more for upright than inverted objects (Studies 1 and 2). Invalid labels denoting different superordinate-level objects (DSC; Study 1) or same superordinate-level objects (SSC; Study 2) reduced accuracy for upright displays only. Orientation dependency indicates that effects are mediated by activated object representations rather than features which are invariant over orientation. Following invalid SSC labels (Study 2), accurate detection RTs were longer than control for both orientations, implicating conflict between semantic representations that had to be resolved before object detection. These results demonstrate that object detection is not just affected by semantics, it entails semantics.
Engaging Engineering Students in Public Health Responses to Disease Outbreaks Through Hackathons

Contribution: Although engineering hackathon events are common, this is one of the first reports of such an event used for the purpose of teaching engineering students about public health concepts. Results from this study suggest that hackathons are an effective format for teaching topics that are not core to the engineering discipline in a short period of time. Background: The current COVID-19 pandemic highlighted the essential role that computer scientists and engineers have in controlling disease outbreaks. However, engineering programs generally do not provide training on public health issues. Thus, there is a critical need to develop innovative and engaging ways to educate engineering students about public health without interfering with required discipline-specific content. Intended Outcomes: Hackathons, short-term events, held outside of the classroom, can provide an engaging and effective method for increasing the interest and knowledge of engineering students in disease outbreaks. In this article, the effectiveness of a hack day in increasing the interest and knowledge of engineering students in disease outbreaks is assessed. Application Design: One-hundred-six undergraduate students, 30 of whom were engineering majors, participated in a multidisciplinary disease focused hackathon. Student learning and engagement during the hackathon was assessed for the 30 engineering students that participated through pre- and post-event surveys. Findings: The results indicated that the hackathon increased both content knowledge and engagement of engineering students in public health issues. Additionally, students gained an increased understanding of public health professions and how they can contribute to disease tracking, prevention, and treatment. Therefore, hackathons are an effective and efficient tool for teaching engineering students about topics outside of their discipline.
A Simple Mathematics Motivation Scale and Study of Validation in Mexican Adolescents

The goal of the study was to evaluate and adjust the model that associates mathematical motivation and learning strategies as quantitative instruments. The items related to the task value, cost, and self-efficacy were validated with Mexican students of rural areas in south-west region of Mexico between 12 and 16 years old, using 14 items that measure self-reported motivation levels. The construct validity of the mathematics motivation scale was checked using confirmatory factor analysis (CFA), by analyzing first- and second-order CFA models. The factor reliability was investigated by means of Dillon-Goldstein’s rho and Cronbach’s alpha. The model had adequate goodness of fit of in the confirmatory analysis. The instrument proved that it is convenient and reliable for application in mathematics motivation in Mexican adolescents. An advantage of the use of this instrument to be applied by teachers of mathematics is its simplicity, ease of application, and interpretation.
First Results of Srf Cavity Fabrication by Electro-Hydraulic Forming at Cern

In the framework of many accelerator projects relying on RF superconducting technology, shape conformity and processing time are key aspects for the optimization of niobium cavity fabrication. An alternative technique to traditional shaping methods, such as deep-drawing and spinning, is Electro-Hydraulic Forming (EHF). In EHF, cavities are obtained through ultra-high-speed deformation of blank sheets, using shockwaves induced in water by a pulsed electrical discharge. With respect to traditional methods, such a highly dynamic process can yield valuable results in terms of effectiveness, repeatability, final shape precision, higher formability and reduced spring-back. In this paper, the first results of EHF on copper prototypes and ongoing developments for niobium for the Superconducting Proton Linac studies at CERN are discussed. The simulations performed in order to master the embedded multi-physics phenomena and to steer process parameters are also presented.
The Utility of Nonroutine Intraocular Fluid Polymerase Chain Reaction for Uveitis in Indonesia

Purpose To investigate the utility of nonroutine polymerase chain reaction analysis of intraocular fluid to guide the diagnosis of infectious uveitis. Patients and Methods A retrospective cohort study was conducted by reviewing medical record data from intraocular fluid samples of uveitis patients who underwent single-plex real-time polymerase chain reaction analysis at the Department of Ophthalmology, Faculty of Medicine, Universitas Indonesia – Cipto Mangunkusumo Kirana Eye Hospital between January 2014 and December 2018. Results The positivity rate of nonroutine polymerase chain reaction analysis was 17.2%. The vitreous sample tended to show a higher positive outcome (28.6%) than the aqueous sample (16.2%), even though the outcome was not statistically significant. Mycobacterium tuberculosis and Toxoplasma gondii were the most frequently observed microorganisms in the polymerase chain reaction analysis among uveitis patients in our setting. The duration of symptoms, type of sample fluid (aqueous/vitreous), or presence of anterior chamber cells ≥2 were not significantly associated with polymerase chain reaction positivity (p > 0.05). Conclusion Nonroutine polymerase chain reaction analysis of intraocular fluid among a cohort of Indonesian patients demonstrated low positivity. The sensitivity and specificity of nonroutine single-plex polymerase chain reaction could not be estimated due to limitations such as lost to follow-up patients and incomplete monitoring data. The use of multiplex polymerase chain reaction in the future may be beneficial in our setting.
Dense capsule network for SAR automatic target recognition with limited data

ABSTRACT Automatic target recognition for Synthetic Aperture Radar (SAR) images is a very challengeable problem due to the lack of enough training examples. Currently, there are two options for a network to learn on small SAR data sets: to increase the depth and width or to use the Capsule Network (CapsNet). To take advantage of both options, this paper proposes a Dense CapsNet for SAR target recognition. The contributions are mainly twofold. First, we replace the original convolutional layers with dense blocks in order to increase the depth of the network. Second, we substitute deconvolutional layers for fully connected layers to build the reconstruction network, which is beneficial for improving training efficiency. The experimental results on the MSTAR data set demonstrate that our Dense CapsNet outperforms other state-of-the-art methods upon limited data.
Tea Plantation Companies Contribution towards Sustainable Development Goals: Qualitative Inquiry in Sri Lanka

The United Nations' Sustainable Development Goals (SDGs) are not specific to one industry; they help every industry achieve a sustainable future. This study aims to investigate the contribution of Sri Lankan tea plantation companies towards the SDGs and how tea plantation companies enhance a sustainable future for their organizations. The qualitative research approach is employed under an exploratory research design. A purposive sampling technique was used to collect data from ten factory managers using a semi-structured interview protocol. And thematic analysis is employed to analyze the data. The findings revealed that SDGs provide a universal and visionary framework for contributing to economic, social, and environmental factors and lead to achieving a sustainable future for tea plantation companies. The SDGs are relevant to tea plantation companies because those SDGs assign different weights to business practices. Goals such as no poverty, good health and wellbeing, zero hunger, gender equality, sustainable cities and communities, quality education, peace and justice, and strong institutions are important in the social dimensions. And also, affordable and clean energy, climate action, responsible consumption and production, life below water, life on land, clean water and sanitation are important SDGs in the environmental model. And decent work and economic growth, industry/innovation and infrastructure, reduced inequality, and partnerships are the SDGs for the economy. Further, the majority of the SDGs contribute to enhancing society and the environment. Intriguingly, it was revealed that the willingness of the shareholders to implement socially-oriented projects is a major problem in the tea plantation sector. There is a scarcity of literature grades in SDGs in tea plantation companies in the agriculture sector. As a result, this research has delved deeper into tea plantation companies in the agricultural industry.
The Acute Effect of a Novel Miso-Type Sauce, Enhanced with a Carotenoid-Rich Extract from Fruit By-Products, on Postprandial Biomarkers of Oxidative Stress and Inflammation

Several fruit by-products may exert a beneficial role on oxidative stress and inflammation modulation, providing essential bioactive components, such as polyphenols and carotenoids. Recently, the potential bioactivity of miso has been reported. The aim of this dietary intervention–clinical study was to evaluate the acute effect of a novel, functional miso-type sauce based on legumes, on postprandial biomarkers of oxidative stress and inflammation. In this randomized, cross-over design, intervention–clinical trial, 14 healthy volunteers, aged 20–30 years old, consumed a rice meal rich in fat and carbohydrates (258 g), containing a legume-based sauce. After a 1-week washout period, the same subjects consumed the same meal, containing the novel fermented miso-type sauce, enhanced with 50% carotenoid-rich, fruit peel extract. Differences in postprandial total plasma antioxidant capacity according to the FRAP method, serum lipids, glucose, uric acid levels, and antithrombotic activity in platelet-rich plasma were evaluated before, 30 min, 1.5 h, and 3 h after consumption. The results showed that, in comparison to the control group, consumption of the novel sauce resulted in a significantly increased total plasma antioxidant capacity 3 h after consumption (p < 0.05). In addition, we observed a significant attenuation of triglycerides concentration increase in the last 1.5 h in the functional group (p < 0.05). A significant decrease in serum aggregation was found at 30 min and 3 h after functional sauce intake in comparison with the baseline (p < 0.05). Finally, LDL-cholesterol concentrations were significantly reduced 3 h after the functional meal consumption, in comparison with baseline values (p < 0.05). The remaining biomarkers did not show statistically significant differences (p > 0.05). Further investigation is needed in order to validate the current results.
Measurable training program to improve physical performance: literature review

This study aims to determine the appropriate training program and portion in order to improve the physical performance of athletes.This literature review inquiry was obtained from various PubMed and Google Scholar databases by entering keywords, namely: Sports, Yoga, Basic Physical Components, MDA and IL6. This inquiry reviewed 33 articles published in national and international online journals and have been accredited. The results literature review done on prior studies show basic physical components can be optimally improved through exercises based on the FITT formula, namely interval training, fartlek, weight training, circuit training, plyometrix, rope jump and PNF. In addition, showed that aerobic and anaerobic exercises decreased MDA levels. However, the control group experienced a very significant increase in MDA levels. High-intensity exercise was found able to trigger releasing inflammatory mediators such as TNF-ά and IL-6. Furthermore, some literature showed that long-term yoga practice can reduce MDA levels and IL-6 levels as it as it increases antioxidant levels and anti imflamatory levels. This literature review is expected to provide comprehensive explanation of good and measurable training programs for athletes, coaches and sports institutions. Thereby, athletes’ physical performance can be optimally improved and injuries can be avoided so that athletes get sports achievements.