Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic Analyses of Mungbean [Vigna radiata (L.) Wilczek] Breeding Traits for Selecting Superior Genotype(s) Using Multivariate and Multi-Traits Indexing Approaches

Mungbean [Vigna radiata (L.) Wilczek] is an important food, feed, and cash crop in rice-based agricultural ecosystems in Southeast Asia and other continents. It has the potential to enhance livelihoods due to its palatability, nutritional content, and digestibility. We evaluated 166 diverse mungbean genotypes in two seasons using multivariate and multi-traits index approaches to identify superior genotypes. The total Shannon diversity index (SDI) for qualitative traits ranged from moderate for terminal leaflet shape (0.592) to high for seed colour (1.279). The analysis of variances (ANOVA) indicated a highly significant difference across the genotypes for most of the studied traits. Descriptive analyses showed high diversity among genotypes for all morphological traits. Six components with eigen values larger than one contributed 76.50% of the variability in the principal component analysis (PCA). The first three PCs accounted for the maximum 29.90%, 15.70%, and 11.20% of the total variances, respectively. Yield per plant, pod weight, hundred seed weight, pod length, days to maturity, pods per plant, harvest index, biological yield per plant, and pod per cluster contributed more to PC1 and PC2 and showed a positive association and positive direct effect on seed yield. The genotypes were grouped into seven clusters with the maximum in cluster II (34) and the minimum in cluster VII (10) along with a range of intra-cluster and inter-cluster distances of 5.15 (cluster II) to 3.60 (cluster VII) and 9.53 (between clusters II and VI) to 4.88 (clusters I and VII), suggesting extreme divergence and the possibility for use in hybridization and selection. Cluster III showed the highest yield and yield-related traits. Yield per plant positively and significantly correlated with pod traits and hundred seed weight. Depending on the multi-trait stability index (MTSI), clusters I, III, and VII might be utilized as parents in the hybridization program to generate high-yielding, disease-resistant, and small-seeded mungbean. Based on all multivariate-approaches, G45, G5, G22, G55, G143, G144, G87, G138, G110, G133, and G120 may be considered as the best parents for further breeding programs.
Validation of the Eating Habits Questionnaire in Greek adults

Healthy eating has gained ground in people’s daily lives in modern society. However, an overwhelming preoccupation with healthy eating can lead to a pathological form setting the ground for orthorexia nervosa. This study aimed to validate the Greek version of the Eating Habits Questionnaire (EHQ) in adults 18 to 65 years old. The EHQ evaluates orthorexia nervosa traits. An online survey was conducted among adults of the general Greek population by administrating a battery of self-report instruments. The IPIP Big-Five personality questionnaire, Beck’s Depression Inventory, the Obsessive-Compulsive Inventory-Revised, the Bulimic Investigatory Test, the Edinburg BITE, and the Eating Attitudes Test-13 were used. Internal consistency, test-retest reliability, and convergent and criterion validity were examined. A total of 551 adults (92.2% females) voluntarily participated in the study. Results suggest that the Greek version of the instrument has good psychometric properties. Analysis revealed a 3-factor model explaining 48.20% of the total variance. Cronbach’s alphas ranged between 0.80 to 0.82, indicating good internal consistency. The test-retest reliability analysis showed no statistically significant difference between the measurements of the first and the post-2 weeks. Correlations with other eating disorder-related constructs were found to be weak to moderate. Body mass index was not significantly correlated with neither of the three EHQ subscales. The Greek version of EHQ is a robust instrument that could be used in clinical practice and research in the field of eating disorders in Greece.
Examination for the Factors Involving to Joint Effusion in Patients with Temporomandibular Disorders Using Magnetic Resonance Imaging

Background: This study investigated the factors involving joint effusion in patients with temporomandibular disorders. Methods: The magnetic resonance images of 131 temporomandibular joints (TMJs) of patients with temporomandibular disorders were evaluated. Gender, age, disease classification, duration of manifestation, muscle pain, TMJ pain, jaw opening disturbance, disc displacement with and without reduction, deformation of the articular disc, deformation of bone, and joint effusion were investigated. Differences in the appearance of symptoms and observations were evaluated using cross-tabulation. The differences in the amounts of synovial fluid in joint effusion vs. duration of manifestation were analyzed using the Kruskal–Wallis test. Multiple logistic regression analysis was performed to analyze the factors contributing to joint effusion. Results: Manifestation duration was significantly longer when joint effusion was not recognized (p < 0.05). Arthralgia and deformation of the articular disc were related to a high risk of joint effusion (p < 0.05). Conclusions: The results of this study suggest that joint effusion recognized in magnetic resonance imaging was easily observed when the manifestation duration was short, and arthralgia and deformation of the articular disc were related to a higher risk of joint effusion.
Features of Helium–Vacancy Complex Formation at the Zr/Nb Interface

A first-principles study of the atomic structure and electron density distribution at the Zr/Nb interface under the influence of helium impurities and helium–vacancy complexes was performed using the optimised Vanderbilt pseudopotential method. For the determination of the preferred positions of the helium atom, the vacancy and the helium–vacancy complex at the interface, the formation energy of the Zr-Nb-He system has been calculated. The preferred positions of the helium atoms are in the first two atomic layers of Zr at the interface, where helium–vacancy complexes form. This leads to a noticeable increase in the size of the reduced electron density areas induced by vacancies in the first Zr layers at the interface. The formation of the helium–vacancy complex reduces the size of the reduced electron density areas in the third Zr and Nb layers as well as in the Zr and Nb bulk. Vacancies in the first niobium layer near the interface attract the nearest zirconium atoms and partially replenish the electron density. This may indicate a possible self-healing of this type of defect.
Convolutional Neural Network Combined With Stochastic Parallel Gradient Descent to Decompose Fiber Modes Based on Far-Field Measurements

Modal decomposition (MD) of fiber modes based on direct far-field measurement combining the convolutional neural network (CNN) with a stochastic parallel gradient descent (SPGD) algorithm is investigated both numerically and experimentally. For obtaining the modal coefficients of fiber modes guided in a large-mode-area fiber, the fiber modes are decomposed into a finite number of Hermite gaussian modes, the initial conditions of the modal coefficients are obtained through the CNN, and further optimization of them are carried out through the SPGD. The ambiguity problem that may happen in the CNN owing to the existence of the pair-beam field is resolved by properly labelling the phase differences with a single-valued parameter set in consideration of the mode-order indices. The feasibility and effectiveness of the proposed MD method is verified both numerical simulations and experimental demonstrations with both recorded image data and online real-time image data. The correlation error incurred by the proposed method is below $6.6 \times {10}^{ - 4}$ and $8.7 \times {10}^{ - 3}$ in the numerical simulations and the experimental demonstrations, respectively. The online real-time operation of the proposed method is also experimentally demonstrated at a decomposing rate of ∼2 Hz.
First assimilation of temperature lidar data into an NWP model: impact on the simulation of the temperature field, inversion strength and PBL depth

The impact of assimilating lower‐tropospheric lidar temperature profiles into a numerical weather prediction (NWP) model was investigated. The profiles were measured with the Temperature Rotational Raman Lidar (TRRL) of the University of Hohenheim on 24 April 2013. The day showed the development of a typical daytime planetary boundary layer (PBL) with no optically thick clouds. The Weather Research and Forecasting (WRF) model was operated with 57 vertical levels covering Central Europe with 3 km horizontal resolution. Three different experiments were carried out with a rapid update cycle with hourly three‐dimensional variational data assimilation. The impact run (ALL_DA) was performed with the assimilation of conventional data and the additional assimilation of TRRL profiles between 0900 and 1800 UTC in a height range from about 500 to 3000 m above ground level with a vertical resolution of about 100 m. In CONV_DA and NO_DA, only conventional data and no data were assimilated, respectively. To consider the representativeness of the TRRL profiles, an observation error of 0.7 K was used for all heights. The assimilation was performed using the radiosonde operator. The TRRL data assimilation corrected the temperature profiles towards the lidar data. In the mean, the boundary‐layer height was improved by 60 m in ALL_DA compared to the TRRL data and the temperature gradient in the entrainment layer by 0.19 K (100 m)−1. While ALL_DA showed a root mean square error (RMSE) of 0.6 K compared to the TRRL data, the RMSE of CONV_DA was twice as large. Compared to data from radiosondes launched at the TRRL site, ALL_DA showed a significantly smaller RMSE than CONV_DA in two out of the four times radiosonde data were available. We conclude that the assimilation of TRRL data has great potential to close the critical gap of missing temperature observations in the lower troposphere.
RR Lyrae to understand the Galactic halo

Abstract We present recent results obtained using old variable RR Lyrae stars on the Galactic halo structure and its connection with nearby dwarf galaxies. We compare the period and period-amplitude distributions for a sizeable sample of fundamental mode RR Lyrae stars (RRab) in dwarf spheroidals (~1300 stars) with those in the Galactic halo (~16'000 stars) and globular clusters (~1000 stars). RRab in dwarfs –as observed today– do not appear to follow the pulsation properties shown by those in the Galactic halo, nor they have the same properties as RRab in globulars. Thanks to the OGLE experiment we extended our comparison to massive metal–rich satellites like the dwarf irregular Large Magellanic Cloud (LMC) and the Sagittarius (Sgr) dwarf spheroidal. These massive and more metal–rich stellar systems likely have contributed to the Galactic halo formation more than classical dwarf spheroidals. Finally, exploiting the intrinsic nature of RR Lyrae as distance indicators we were able to study the period and period amplitude distributions of RRab within the Halo. It turned out that the inner and the outer Halo do show a difference that may suggest a different formation scenario (in situ vs accreted).
Adoption of Facebook as a Communication Tool amongst University Millennials in KwaZulu-Natal

This study aimed to understand the critical significance of Facebook as a communication tool in promoting social consciousness amongst South African millennials at various Higher Education institutions in KwaZulu-Natal. The study was exploratory and quantitative, with 400 undergraduate students identified using a purposive sampling technique. There were 150 students from the Durban University of Technology, 125 from the Mangosuthu University of Technology, and 125 from the University of KwaZulu-Natal. The data were analysed using the most recent version of the Statistical Package for the Social Sciences (SPSS) application. According to the findings, most millennials spend at least two hours, and up to considerably more than six hours, on social media every day. Furthermore, most participants believed that this forum allows them to express themselves whilst also exchanging information on academic concerns such as ongoing strikes and fee increases. The participants all agreed that accessing this social media platform was effortless for them, thus they perceived it as an effective awareness tool. Furthermore, the interviewees stated that Facebook is an excellent platform because it facilitates texting, voice recordings, and video uploads. As a result, it is suggested that universities use Facebook to raise awareness and communicate with key stakeholders.
A Gamified Experiential Learning Intervention for Engaging Students Through Satisfying Needs

A field experiment conducted across an academic semester tested the impact of a gamified experiential learning intervention strategically framing a student response system (SRS) to maximize student engagement through their technology use in class. Participants (n = 123) aged 9–16 years received an experimental intervention designed to foster intrinsic motivation through optimally challenging engagement. To achieve this, the intervention utilized teamwork, made friendly competence-enhancing competition salient, and created choice. In a comparison condition, students used SRS without these additional enhancements. Students were surveyed at three time points. The experimental intervention reported increasing psychological need satisfaction for autonomy, competence, and relatedness and greater academic well-being. An observer rating demonstrated more classroom behaviors indicative of intrinsic motivation as compared to the comparison condition. The effects of the intervention increasing student-reported and observer-rated academic well-being were due to more immediate beneficial effects of the gamified experiential condition fostering basic psychological needs for autonomy, relatedness, and competence.
Combined Porous-Monolithic TiNi Materials Surface-Modified with Electron Beam for New-Generation Rib Endoprostheses

TiNi alloys are very widely used materials in implant fabrication. When applied in rib replacement, they are required to be manufactured as combined porous-monolithic structures, ideally with a thin, porous part well-adhered to its monolithic substrate. Additionally, good biocompatibility, high corrosion resistance and mechanical durability are also highly demanded. So far, all these parameters have not been achieved in one material, which is why an active search in the field is still underway. In the present study, we prepared new porous-monolithic TiNi materials by sintering a TiNi powder (0–100 µm) on monolithic TiNi plates, followed by surface modification with a high-current pulsed electron beam. The obtained materials were evaluated by a set of surface and phase analysis methods, after which their corrosion resistance and biocompatibility (hemolysis, cytotoxicity, and cell viability) were evaluated. Finally, cell growth tests were conducted. In comparison with flat TiNi monoliths, the newly developed materials were found to have better corrosion resistance, also demonstrating good biocompatibility and potential for cell growth on their surface. Thus, the newly developed porous-on-monolith TiNi materials with different surface porosity and morphology showed promise as potential new-generation implants for use in rib endoprostheses.
Effect of a Reduced-Calorie Diet on Plasma Levels of Inflammatory and Metabolic Factors in Overweight/Obese Patients with Cardiovascular Risk Factors

Background Calorie restriction without malnutrition is likely to improve cardiovascular risk factors. Objectives The aim of this study was to investigate calorie restriction on markers of cardiometabolic risk in overweight/obese adults with cardiovascular risk factors. Methods In a parallel controlled trial, patients with overweight or obesity and one or more cardiovascular risk factor were randomized to a modest reduced-calorie diet (75% of the total calculated energy requirements) or control (no calorie restriction) groups and followed up for two months. Body weight, dietary intake, fasting plasma levels of C-reactive protein (CRP), monocyte chemoattractant protein-1 (MCP-1), intercellular adhesion molecule 1 (ICAM-1), vascular cell adhesion molecule 1 (VCAM-1), brain-derived neurotrophic factor (BDNF), neuropeptide Y (NPY), lipids, and glycemic factors were measured at baseline, and after two months. The differences were analyzed with analysis of covariance (ANCOVA). Results Sixty-six participants (33 in each group) completed the study. Body weight changed in the reduced-calorie diet group (- 3.05 ± 2.65 kg), and blood pressure was improved (systolic -6.96 ± 12.04 and diastolic - 3.90 ± 8.97 mmHg). The reduced-calorie diet improved plasma ICAM-1 (change from baseline - 0.45 ± 1.99 ng/mL, P = 0.033, ANCOVA), MCP-1 (change from baseline - 0.50 pg/mL, P = 0.011, ANCOVA), low-density lipoprotein cholesterol (change from baseline - 9.35 ± 19.61 mg/dL, P < 0.001, ANCOVA), and triglyceride (change from baseline -33.66 ± 49.08, P = 0.001, ANCOVA), but BDNF, NPY, and other cardiometabolic factors were not different. Conclusions In overweight/obese subjects with cardiovascular risk factors which have been under medical treatment with risk-reducing medications, a modest weight loss induced by a reduced-calorie diet improved lipid profile, blood pressure, and reduced ICAM-1 and MCP-1 levels but had no effect on plasma BDNF or glycemic factors.
Effect of ethnicity and socioeconomic deprivation on uptake of renal supportive care and dialysis decision-making in older adults

ABSTRACT Background Renal supportive care has become an increasingly relevant treatment option as the renal patient population ages. Despite the prevalence of kidney disease amongst ethnic minority and socioeconomically deprived patients, evidence focused on supportive care and dialysis decision-making in these groups is limited. Methods This retrospective study selected older patients referred to a low clearance or supportive care service between 1 January 2015 and 31 December 2019. A descriptive analysis of clinical and socioeconomic characteristics according to treatment choice was produced and multivariate logistic regression models used to identify predictive factors for choosing supportive care. Surrogate markers for the success of decision-making processes were evaluated, including time taken to reach a supportive care decision and risk of death without making a treatment decision or within 3 months of starting kidney replacement therapy (KRT). Finally, the association between ethnicity and socioeconomic status and hospital admission rates was compared between treatment groups. Results Amongst 1768 patients, 515 chose supportive care and 309 chose KRT. Predictive factors for choosing supportive care included age, frailty and a diagnosis of cognitive impairment. However, there was no association with ethnicity or deprivation. Similarly, these factors were not associated with time taken to make a supportive care decision or the mortality outcome. Amongst those on KRT, more socially advantaged patients had decreased rates of hospital admissions compared with those less advantaged (incident rate ratio 0.96, 95% confidence interval 0.92–0.99). Conclusion Predictive factors for choosing supportive care were clinical, rather than socioeconomic. Lower socioeconomic status was associated with increased rates of hospitalization in the KRT group. This is a possible signal that these groups experienced greater morbidity on KRT versus supportive care, an association not demonstrated amongst higher socioeconomic groups.
Learning through radio and television during COVID-19: perspectives of K-12 stakeholders

The COVID-19 pandemic has disrupted traditional education, leading to the adoption of alternative methods, such as learning through radio and television for K-12 students. Television and radio became popularly adopted platforms to disseminate educational resources during the pandemic in developing countries, such as Nigeria. This study gathers the perspective of K-12 teachers and students during the crisis to find out the effectiveness of the utilized platforms, examine the challenges encountered, and suggest the way forward in case of future occurrence. The concerns-Based Adoption Model (CBAM) guided the study. A qualitative methodology of interpretivism was employed using 20 participants that comprise students and teachers across the five south-western states in Nigeria. Findings show that teachers adapted their lessons to be delivered through broadcasts, while school administrators have worked closely with broadcasters to develop and implement educational content. Students have had mixed experiences, with some finding radio and television engaging, while others face challenges with engagement and adaptability. In essence, the result shows that most of the respondents though acknowledged the effectiveness of the radio and television approach to learning but opined that the lessons are not detailed enough. Furthermore, educational television broadcast is preferable to radio lessons as the visual effect contributes significantly to learning. The study concludes that broadcasters have played a critical role in delivering educational content, partnering with schools, and developing programs that align with the curriculum during the pandemic. The study discussed its implication, followed by limitations, and gave direction for future studies.
Assessing the Effectiveness of STAD Model and Problem Based Learning in Mathematics Learning Achievement and Problem Solving Ability

The objective of this study was to compare the effectiveness of teaching methods in improving Mathematics Learning Achievement and Problem solving ability of students at an international college. This is a Quasi-Experimental Research which was done the study with the first year students who have registered to study Mathematics subject at St. Theresa International College of Thailand. The experiment was conducted in the first semester of the academic year 2015 in two classes; each classroom consisted of 25 students was chosen using Cluster Random Sampling. The statistical tools used for the study were Mean, Standard Deviation and One-Way ANCOVA a covariance analysis. The study results revealed that, among the 2 teaching methods, the students groups taught through STAD model of cooperative learning have secured high scores in the post-test conducted to measure mathematics learning achievement and problem solving ability. Hence there is a significant difference between the teaching methods, mathematical learning achievement and problem solving ability. However, both the methods have improvement in post-test, further it is evidenced that STAD model of cooperative learning is effective compared to problem based learning for improving students in mathematics. Keywords: STAD model of cooperative learning; problem based learning; Mathematics learning achievement, problem solving ability