Miracle-dz/UniFAR-FTUs huggingface dataset:
Health Literacy, Health Behaviors, and Body Mass Index Impacts on Quality of Life: Cross-Sectional Study of University Students in Surabaya, Indonesia

University student life is an important transformation stage with many potential factors that can impact negatively on the Quality of Life (QOL) and the adoption of unhealthy behaviors. Health literacy (HL), Health Behaviors (HBs), and Body Mass Index (BMI) have been found to be essential components in influencing QOL, in addition to socioeconomic determinants. To identify the influential factors of QOL, we performed a cross-sectional survey in a university, and 955 undergraduate students were enrolled as respondents. We measured two different aspects of HL, i.e., Comprehensive Health Literacy (CHL) and Functional Health Literacy (FHL). Overall, QOL scores in four domains did not differ, regarded as medium with averages ranging from 57.00–63.98, and no significant difference between male and female students. In multivariate analysis, CHL had a significant positive influence on all domains, while FHL only affected the psychological and environmental domains with negative associations. Academic performance had a significant positive association with physical and psychological domains. Students from education majors had higher QOL in the psychological and social domains. Moreover, students with normal or underweight BMI status had better psychological QOL, and physical exercise had a positive association with the social relationship and environmental domains. The findings confirmed that CHL and FHL had significant associations with QOL domains in different ways that should be addressed accordingly. Public health practitioners should carefully empower students to use both CHL and FHL as decision-making skills by incorporating them into related curricula.
A method for linking safety factor to the target probability of failure in fire safety engineering

AbstractEnsuring occupants’ safety in building fires is one of the most important aspects for fire safety engineering. Many uncertainties are inevitably introduced when estimating the occupant safety level, due to the high complexity of fire dynamics and the human behaviour in fires. Safety factor methods are traditionally employed to deal with such uncertainties. This kind of methods is easy to apply but leaves fire safety engineers unsure of the margin by which the design has failed. A method of linking safety factor and probability of failure in fire safety engineering is proposed in this study. An event tree is constructed to analyse potential fire scenarios that arise from the failure of fire protection systems. Considering uncertainties related to fire dynamics and evacuation, the traditional deterministic safety factor is considered as a random variable. Because there is no target probability of failure accepted by the whole fire safety engineering community, the concept of expected risk to life (E.
Usefulness of the EFQM excellence model: Theoretical explanation of some conceptual and methodological issues

Abstract This paper assesses the usefulness of the EFQM Excellence Model for decision-making on organizational improvement activities. The paper does this by studying the procedures of the EFQM model in practice, and – based on definitions of the object, criteria for decision making, the object goals and levers for the EFQM Excellence Model and their relationship – this paper discusses some methodological issues related to the use of the EFQM model. These procedures are studied in order to analyse their appropriateness for identification of problematic situations and, based on that, for identification of problems. The paper concludes that the EFQM Excellence Model is appropriately structured to perform the first phase of the analysis, i.e. identification of a problematic situation, but on the other hand the model does not offer any specific guidelines about the second phase, i.e. problem identification. The model offers no structured approach about how to exploit strengths or about how to classify or prioritize areas of improvement. From these methodological questions of applicability of the EFQM model two important conceptual issues arise. The first conceptual issue is related to the question of whether the organizational excellence is appropriately reflected in the sub-criteria used for the purpose of measuring excellence. The second conceptual issue is that of clarifications of the relationship between decisions made on the basis of the EFQM model self-assessment results and other strategic, business, organizational, etc, decisions.
Effects of implementing instructional technology on student involvement and learning in basketball units

The world has changed dramatically from earlier ages to today’s highly technological world. Similarly, learning has also evolved from the traditional classroom to distance learning and now to online learning, where students learn in invisible classrooms. Learning in an invisible classroom setting is a change that promotes unlimited access to information. Online learning (i.e., E-leaning) offers many opportunities that never seemed possible before.
Whole-Genome Analysis of Multidrug-Resistant Salmonella Enteritidis Strains Isolated from Poultry Sources in Korea

The Salmonella Enterica subsp. Enterica serovar Enteritidis is one of main serovars isolated from human patients with food poisoning and poultry without clinical signs. Consumption of poultry products contaminated with Salmonella Enteritidis is a common source of human salmonellosis; 82 Salmonella spp. were isolated from 291 samples of retail chicken meat, 201 one-day-old chicks, 30 internal organs of chickens, 156 chicken eggs, 100 duck eggs, 38 straw bedding samples, 18 samples of retail duck meat, and 19 swab samples from slaughterhouses in 2019 and 2020. An antibiotic susceptibility test was performed for all isolates, revealing 33 multidrug-resistant (MDR) strains. The whole genome of 33 MDR strains isolated in 2019 and 2020 and 10 strains isolated in 2011, 2012, and 2017 was sequenced using the MinION sequencing protocol. Within these 43 samples, 5 serovars were identified: S. Enteritidis, S. Agona, S. Virchow, S. Albany, and S. Bareilly. The most common serovar was S. Enteritidis (26/43), which showed the highest resistance to ampicillin (100%), followed by nalidixic acid (90%) and colistin (83%). Core genome multilocus sequence typing analysis showed that the S. Enteritidis strains isolated from different sources and in different years were clustered together. In addition, the S. Enteritidis strains isolated since 2011 consistently harbored the same antibiotic resistance patterns.
Gingival exophytic lesions as first oral manifestation of primary lung adenocarcinomas: Systematic review

Metastases from malignant tumors in the oral cavity are rare and comprise approximately 1% of all oral neoplasms, being more frequent in the jaws than in the soft tissues. The presentation of a gingival metastasis as the first manifestation of a primary tumor in the oral cavity is extremely rare. The objective of this review is to update the diagnosis and management of oral metastasis being the first clinical manifestation of the tumor and review all the cases published to date, providing a new original clinical case with very specific histopathological characteristics. We systematically reviewed the literature in order to find all the cases of primary lung tumors that appeared with a gingival metastasis as the first manifestation. The search process involved a total of 1916 articles. After reading the latter, 15 (one of them with two different cases) met the inclusion criteria. Of the 15 articles, 6 were rated as medium quality (40%) and 9 as high quality (60%). We present a lung adenocarcinoma that first manifested as a metastasis in the gum, simulating a benign lesion. The unusually high growth rate of this lesion should conduct to have other diagnostic possibilities, and histopathological confirmation is essential.
Balanced hierarchical max margin matrix factorization for recommendation system

Matrix factorization (MF) is one of the most important regression analysis methods used in recommendation systems. Max margin matrix factorization (MMMF) is a variant of MF which transforms the regression analysis problem into a single multi‐class classification problem, and then learns a multi‐class max margin classifier to achieve to a better error rate. One drawback of multi‐class MMMF is its bias towards class with small sample size. Therefore, hierarchical MMMF (HMF) which uses some two‐class MMMF problems in a hierarchical manner for multi‐class classification was proposed. Each two‐class MMMF of HMF is learned on the basis of thresholded training data which is too imbalanced for some two‐class MMMFs. Meanwhile, all training data is used in each two‐class MMMF. In the test phase of HMF, an imbalanced tree is used to estimate rating. Each node of this tree is a learned two‐class MMMF. In this paper, we propose a balanced HMF, which constructs a balanced tree with minimum depth. Each node of this tree is a learned two‐class MMMF on the basis of a part of data which is selected such that to be more balanced than that of the traditional HMF. Moreover, each part of data in our proposed balanced HMF does not have overlap with all previous parts of data. Therefore, the overall training data used in each step of balanced HMF is smaller than that of in the traditional HMF. Experimental results on real datasets show that training time, test time and error rate of our proposed balanced HMF is better than those of the traditional HMF.
Characterizing and optimizing multi‐response processes by the taguchi method

In this paper we demonstrate the ability of the Taguchi technique accurately to characterize and successfully to optimize complicated multi-response processes with the minimum of experiments, provided one uses simple statistical techniques which can ensure valid, and definitive results. We point out the usefulness of suitable data-transformations, and we suggest a systematic procedure for establishing the optimal operating conditions and for carrying out confirmatory experiments. For the particular case detailed in this paper (which is typical of multi-response processes) the Taguchi technique achieved an improvement in uniformity of a factor of 2, together with optimized process control.
A Recipe for Heganism? Masculinity, Meat-Avoidance and the Cookbook

Veganism and plant-based diets have grown exponentially in popularity in the UK in recent years. Despite this overall growth in popularity, however, there remains a gender disparity amongst vegans, with men remaining under-represented amongst those identifying as vegan. The increased popularity of veganism and plant-based diets has both resulted in, and been boosted by, a recent surge in the number of vegan and plant-based cookbooks being published to the UK market. This article offers a qualitative textual analysis of three vegan and/or plant-based cookbooks by male authors published to the UK market in 2018. This analysis suggests new ways of thinking about the roles of food and diet in constructing and inscribing masculine identities, and the power that the vegan movement, in its broadest sense, has to either reify or challenge prescribed and restrictive masculinities as it seeks to promote veganism and plant-based diets.
A neural network controlled optimal pulse-width modulated STATCOM

The paper describes a technique to control the harmonic output of a static synchronous compensator (STATCOM) using a pulse width modulation (PWM) scheme with a minimal number of additional switchings. A neural network algorithm is developed to define the switching instants. This technique offers an alternative to the multi-pulse techniques that require complex magnetic circuit arrangements as well as to the conventional PWM technology that requires a large number of switchings.
Agricultural and Foodstuff Trade between EU28 and Russia: (Non)Uniformity of the Russian Import Ban Impact Distribution

The distribution of the impact of the Russian import ban on the EU28 countries is not uniform. The market shares and clustering of the EU28 countries changed before and after the introduction of the ban. Although the Russian import ban was introduced as a countermeasure to Western sectoral and individual sanctions, the ban’s impact on EU28 economies is not parallel, and the impact is not evenly distributed among EU members. Cluster analysis shows that two groups of countries can be distinguished, with Group 2 having the most severe impact from the ban (on average, a decrease of 48% in the trade balance with Russia). Our results show that Germany, the Netherlands, Latvia, Lithuania, Italy and Poland are the countries which have experienced the largest Russian import ban impact and bear up to 63% of total EU28 losses due to the ban. Some of the countries (Austria, Hungary, Czechia) did not stop expanding trade after the import ban, and they could be the ones to see the first benefits once the ban is lifted.
The landscape of regulatory genes in brain-wide neuronal phenotypes of a vertebrate brain

Multidimensional landscapes of regulatory genes in neuronal phenotypes at whole-brain levels in the vertebrate remain elusive. We generated single-cell transcriptomes of ~67,000 region- and neurotransmitter/neuromodulator-identifiable cells from larval zebrafish brains. Hierarchical clustering based on effector gene profiles (‘terminal features’) distinguished major brain cell types. Sister clusters at hierarchical termini displayed similar terminal features. It was further verified by a population-level statistical method. Intriguingly, glutamatergic/GABAergic sister clusters mostly expressed distinct transcription factor (TF) profiles (‘convergent pattern’), whereas neuromodulator-type sister clusters predominantly expressed the same TF profiles (‘matched pattern’). Interestingly, glutamatergic/GABAergic clusters with similar TF profiles could also display different terminal features (‘divergent pattern’). It led us to identify a library of RNA-binding proteins that differentially marked divergent pair clusters, suggesting the post-transcriptional regulation of neuron diversification. Thus, our findings reveal multidimensional landscapes of transcriptional and post-transcriptional regulators in whole-brain neuronal phenotypes in the zebrafish brain.
Pre-service teachers’ perceptions of authentic learning in a capstone unit

Capstone units in higher education courses are learning experiences which are designed to bring reflection and focus to a whole course of study while, at the same time, leading students toward their entry into a new world of work (Humphrey, Brown, & Benson, 2005). The capstone experience described in this paper runs as a conference, called the Stepping Out Conference. The conference is delivered as one unit and is mandatory for all fourth year pre-service teachers. Participation in a capstone unit is an effective way for students to begin thinking of themselves as teaching professionals rather than as continuing students. Students engage in the assessment as part of their capstone experience. The assessment is designed to measure students’ knowledge and skills as they relate to ‘authentic’ real life situations (Darling-Hammond, 1991). This paper details pre-service teachers’ experiences of authentic learning through their participation in a capstone unit.
AGRI-HORTI SYSTEMS AND WEED MANAGEMENT PRACTICES EFFECT ON GROWTH AND YIELD OF MUNGBEAN (VIGNA RADIATA (L.) WILCZEK)

A field experiment was conducted during kharif season of 2010 at Rajiv Gandhi South Campus (Banaras Hindu University), Barkaccha, Mirzapur to study the effect of agri-horticultural system [custard apple (Annona squamosa) and guava (Psidium guajava)] and weed management practices [pendimethalin 1000 g a.i./ha (pre emergence), imazethapyr 125 g a.i./ha (post-emergence), weedy check, 1-hand weeding (20 DAS)] on mungbean. Custard apple based agri-horti system recorded higher weed-density and -biomass over guava agri-horti system. But growth, yield attribute and yield of mungbean did not influenced with agri-horti system. Significantly lowest density and biomass of weeds observed under 1-hand weeding. Imazethapyr 125 g/ha effectively reduced density and biomass of Trianthema monogyna, Cynodon dactylon and Echinochloa colonum and total weeds as compared to pendimethalin 1000 g/ha. Density and biomass of Cyperus rotundus did not differed significantly with herbicides. Application of imazethapyr 125 g/ha and 1-hand weeding produced at par plant height, number of branches/plant and harvest index of mungbean.
Assessment of the Cold-Wire Resistance Thermometer for High-Speed Turbomachinery Applications

The paper first describes the fundamentals of cold-wire resistance thermometry. The transfer functions with and without wire-prong heat conduction effects are discussed and a new method for the description of complicated transfer functions describing both the prongs and wire frequency response is proposed. The experimental part of the paper starts with an investigation of the transfer function of various probes differing by the wire diameter, the l/d ratio, and the wire-prong connection using two simple methods: (1) electrical heating of the wire by a sine current and (2) a temperature step test consisting in injecting the probe into a hot air stream. The first test provides information on the wire response, whereas the second serves to study wire prong heat conduction effect. The tests cover a wide range of velocities and densities. A frequency bandwidth of 2 kHz is obtained with a 2.5 {micro}m wire probe at an air velocity of 200 m/s at atmospheric pressure. A numerical compensation system allows the authors to extend the use of this probe to much higher frequencies. Finally, the probe is mounted onto a wheel in a high-speed rotating test rig allowing probe traverses through a stationary hot air jet at rotational speedmore » sup to 5,000 rpm with the probe positioned at a radius of 0.380 m. The probe signal is transmitted via an opto-electronic data transmission system. It is demonstrated that using the numerical compensation method, it is possible to reconstruct the hot jet temperature profile at frequencies up to 6 kHz. « less
A scheme for trace gas detection using infrared optical feedback cavity enhanced spectroscopy

Cavity enhanced absorption spectroscopy (CEAS) technology is one of the new types laser absorption spectroscopy technique with high sensitivity and relatively simple detection principle, which is developing rapidly and becoming more and more popular in the field of trace gas detection. A scheme of high sensitivity infrared optical feedback cavity enhanced absorption spectroscopy system is established, based on the high quality optical passive resonator made of ultralow expansion coefficient glass-ceramics, combined with the optical feedback effect of semiconductor laser which can narrow the output laser linewidth and stabilize the laser frequency. The spectral scanning of the system is realized by simultaneously scanning the cavity length of the resonator and tuning the laser current, and the spectral resolution of 0.003 cm-1 and the noise equivalent absorption sensitivity are better than 2×10-9 cm-1Hz-1/2. The system is expected to be applied to real-time analysis of respiratory gas and realize the application of the technology in human breath diagnosis.
A Wireless Head-Controlled Mouse Design Using Adaptive Unscented Kalman Filter Algorithm

For some disabled people can’t use hand to control the mouse, this paper designs a novel head-controlled mouse. Using accelerometers and gyroscopes as the sensitive element of the system measure the head rotation angle. The mouse is controlled as for the relationship between the head rotation angle and the mouse move distance. For mouse click operation, this article designed a software to achieve. Considering the MEMS sensor noise affect the mouse control accuracy, using the unscented Kalman filter (UKF) to fusion the data of accelerometers and gyroscopes to obtain the optimal angle estimation. Compared with only using an accelerometer or gyroscope sensor, the method proposed in this paper for angle measurement can have high accuracy and stability, thereby improving the mouse control precision and maneuverability.
FEA Analysis of An Electric Wiper Mechanism

In this study, a procedure for FEA analysis of an electric wiper mechanism is developed using flexible multi- body dynamic simulation and dynamic stress analysis. Both rigid and flexible body dynamic models are simulated by using ANSYS software. This was done in two parts- first rigid dynamics analysis was performed and secondly transient structural analysis was performed. A windscreen wiper or windshield wiper is a device used to remove rain and debris from a windscreen or windshield. Almost all motor vehicles, including trains, aircraft and watercraft, are equipped with such wipers, which are usually a legal requirement. A wiper generally consists of an arm, pivoting at one end and with a long rubber blade attached to the other. The blade is swung back and forth over the glass, pushing water from its surface. The speed is normally adjustable, with several continuous speeds and often one or more "intermittent" settings. Most automobiles use two synchronized radial type arms, while many commercial vehicles use one or more pantograph arms. Wipers may be powered by a variety of means, although most in use today are powered by an electric motor through a series of mechanical components, typically two 4-bar linkages in series or parallel. Also, today it is a common practice to fit two wiper blades for the front windscreen and both blades driven from a single motor. As per the law the wiper on the driver's side must operate effectively and efficiently. Hatchback cars often use a wiper for the rear window. Considerable driving force is required for a rubber wiper blade to move across a glass surface, especially when the blade has to sweep away a large volume of water or snow. The windscreens of modern vehicles have a double curvature, which requires long articulated wiper blades with the ability to flex to the contour of the glass. Wiper systems generally use two wipe speeds to suit the driving conditions. A car wiper motor on a modern vehicle should be a high powered quiet unit operating on a current of 2 - 4 A. In the past, shunt-wound motors were used but now-a-days the permanent-magnet motor is commonly used. The layout of a typical wiper system is shown in Fig. 1.
Temperature-stable hyperchaotic oscillator

A fourth-order circuit is described. It contains two negative impedance converters, two gyrators, two capacitors, and a comparator. The performance of the circuit is investigated both numerically and experimentally. The oscillator exhibits hyperchaotic behaviour and is characterized by two positive Lyapunov exponents. The circuit is found to be an extremely temperature-stable one.
Prevalence and Social-Ecological Correlates of Intimate Partner Violence in a Conflict Zone—Evidence From the 2015 Afghanistan Demographic and Health Survey

This study examined the prevalence and social-ecological correlates of male-to-female intimate partner violence (IPV) in Afghanistan. Using data from the 2015 Afghanistan Demographic and Health Survey, which included 20,793 currently married women, we found that the past-year prevalence of physical IPV was highest (46%), followed by emotional (34%) and sexual forms (6%). Results also showed that the risk of IPV in general was associated with an array of community and societal-, family and relationship-, and person-level factors. Our findings point to potential intervention targets for women in this conflict zone where IPV is a highly pervasive and complex societal challenge.