Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Regulation and its Relationship to Social Intelligence among College of Education Female Students at Prince Sattam University

The current study aimed to identify the level of self-regulation and social intelligence among students of the College of Education at Prince Sattam University in Wadi Al-Dawasir, and to reveal the relationship between self-regulation and social intelligence, as well as the possibility of predicting social intelligence through self-regulation. A sample consisting of (204) female students at the College of Education, Prince Sattam bin Abdulaziz University in Wadi Ad-Dawasir participated in this study. The measurement instruments included two researcher-made scales of self-regulation and social intelligence, and the SPSS program was used for statistical treatments. Results revealed that female students of the College of Education in Wadi Ad-Dawasir, Prince Sattam University, have a high level of self-regulation as well as social intelligence, and that there is a statistically significant positive correlation between the scores of self-regulation and social intelligence among the study sample. In addition, it was found that social intelligence can be predicted through self-regulation. It is possible to benefit from the results of this study in directing university planning officials to the importance of transforming the self-regulation and social intelligence of students into a culture and systematic practice through courses, symposiums and workshops, or integrating them into academic courses.
Production performance of white shrimp Litopenaeus vannamei with super-intensive culture on different rearing densities

This research aimed to evaluate the production performance of white shrimp Litopenaeus vannamei with superintensive culture on different rearing densities. The research was conducted at PT. Dewi Laut Aquaculture, Cikelet, Garut, West Java. As many of 8 ponds were used and divided into 2 groups based on the stock density of shrimp, 550 ind/m2 and 650 ind/m2, and reared for 99 days. The results showed that super-intensive shrimp culture at the density of 550–650 ind/m2 potentially produced shrimp with average body weight ranged from 15.91–19.31 g, survival rate 62.67–87.95%, growth 0.16 to 0.20 g/day, FCR 1.35–1.66, and productivity reach 5.55–9.19 kg/ m2. There were no significant differences between the two stocking densities in body weight, growth, and feed conversion performance, while ponds with higher rearing density had better survival and productivity than ponds with lower rearing density. L. vannamei cultured at a density of 650 ind/m2 produces the best performance and most feasible to be applied in super-intensive white shrimp cultivation.
Portability of Predictive Academic Performance Models: An Empirical Sensitivity Analysis

The portability of predictive models of academic performance has been widely studied in the field of learning platforms, but there are few studies in which the results of previous evaluations are used as factors. The aim of this work was to analyze portability precisely in this context, where preceding performance is used as a key predictor. Through a study designed to control the main confounding factors, the results of 170 students evaluated over two academic years were analyzed, developing various predictive models for a base group (BG) of 39 students. After the four best models were selected, they were validated using different statistical techniques. Finally, these models were applied to the remaining groups, controlling the number of different factors with respect to the BG. The results show that the models’ performance varies consistently with what was expected: as they move away from the BG (fewer common characteristics), the specificity of the four models tends to decrease.
High‐temperature copolyamides obtained by the efficient transamidation of crystalline–crystalline polyamide blends

High-performance thermoplastic composites based on semiaromatic polyamides are prime candidates for metal replacement in lightweight structural applications. However, the low ductility and toughness of semiaromatic polyamides remain major obstacles to their wider industrial application. In this study, we showed that novel random copolymers were formed by the unexpectedly efficient transamidation during the melt compounding of semicrystalline semiaromatic and aliphatic polyamides. Thus, homogeneous materials with a single glass transition and a high degree of crystalline order were obtained from blends of the semiaromatic poly(hexamethylene terephthalamide-co-isophthalamide) (PA6TI) with poly(hexamethylene adipamide) (PA66) or poly(hexamethylene sebacoamide) (PA610). By contrast, phase segregation and a less efficient transamidation was observed for cocompounded PA6TI and polylaurolactam (PA12). We attributed this to differences in the hydrogen-bonding patterns of the two polyamides. This study opened the way for the preparation of novel high-performance thermoplastic polyamides and composites through simple melt compounding. (c) 2016 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017, 134, 44349.
Making activists out of environmentalists: new experimental evidence

ABSTRACT Among the many goals of advocacy organizations is motivating supporters to engage in actions that help move forward the policy goals of the group. This might include signing a petition, sending an email to an elected official, or attending a local government meeting. These actions are important for the maintenance of democracy, but also very rare; most people are not activists. How best to encourage supporters to engage in that necessary advocacy has thus been the topic of extensive political science research. We present results from a series of A/B experiments sent by a local environmental advocacy organization seeking to increase higher order levels of participation among their supporters. We find consistent evidence that framing those messages in negative terms (e.g., stop dirty energy) is more effective than framing them positively (e.g., promote clean energy).
Demographic, Social, Economic, and Regional Factors Affecting the Diffusion of Hybrid Electric Vehicles in Japan

The transportation sector is a major contributor to carbon dioxide emissions, and the resulting climate change. The diffusion of alternative fuel vehicles, including hybrid electric vehicles (HEV), is an important solution for these issues. This study aimed to evaluate the factors affecting the ownership ratio of HEVs, particularly passenger vehicles, and the regional differences in the purchase of HEVs in Japan. This study performed a fixed-effects regression analysis with panel data for 47 prefectures during the period 2005–2015 to evaluate the factors affecting the HEV ownership ratio and conducted three cluster analyses to investigate the regional differences in diffusion in terms of price categories, body types, and drive systems of HEVs. Some demographic and social factors were found to affect the ownership ratio in Japan, whereas economic factors, including prefecture-level subsidies for purchasing HEVs, were not. Regarding regional differences, prefectures in urban areas with higher income levels tend to purchase more expensive and large-sized HEVs. These results suggest that a strategy to sell the right vehicle to the right person and region is essential for further promoting HEVs in Japan.
Experimental constraints on the stability of baddeleyite and zircon in carbonate- and silicate-carbonate melts

Abstract Carbonatites are rare igneous carbonate-rich rocks. Most carbonatites contain a large number of accessory oxide, sulfide, and silicate minerals. Baddeleyite (ZrO2) and zircon (ZrSiO4) are common accessory minerals in carbonatites and because these minerals host high concentrations of U and Th, they are often used to determine the ages of formation of the carbonatite. In an experimental study, we constrain the stability fields of baddeleyite and zircon in Ca-rich carbonate melts with different silica concentrations. Our results show that SiO2-free and low silica carbonate melts crystallize baddeleyite, whereas zircon only crystallizes in melts with higher concentration of SiO2. We also find that the zirconsilicate baghdadite (Ca3ZrSi2O9) crystallizes in intermediate compositions. Our experiments indicate that zircon may not be a primary mineral in a low-silica carbonatite melt and care must be taken when interpreting zircon ages from low-silica carbonatite rocks.
Mapping the intellectual lineage of educational management, administration and leadership, 1972–2020

This review has two purposes. First, we document the body of knowledge that has accumulated in Educational Management, Administration & Leadership over its five decades of publication. Second, we seek to identify the distinctive contributions of Educational Management, Administration & Leadership as a research journal in educational leadership and management. The review employed the bibliometric method in order to analyze the forms of corpus of 1438 articles published in Educational Management, Administration & Leadership between 1972 and the end of 2020. Bibliometric analyses used to document and assess the Educational Management, Administration & Leadership corpus included descriptive statistics, document citation and co-citation analysis, author co-citation analysis and keyword analysis. The review found that articles authored outside the UK have continued to grow as a proportion of the journal’s annual volume, thereby strengthening Educational Management, Administration & Leadership’s status as an ‘international educational leadership journal’. Document and keyword analyses found that ‘leadership’ has supplanted ‘administration’ and ‘management’ as the dominant driver in Educational Management, Administration & Leadership content since 2012. These analyses further affirmed the continuing strength of the journal’s conceptual contributions to the literature as well as its publication of a significant set of papers on shared forms of leadership. The review highlighted two areas for Educational Management, Administration & Leadership’s future development: further enhancing its citation impact and managing the growth of its international contributions.
Effect of the toroidal flow and flow shear on the m/n = 2/1 tearing mode in J-TEXT tokamak

The effect of the toroidal flow and flow shear on the m/n = 2/1 tearing mode (TM) has been investigated in J-TEXT tokamak, where m and n are the poloidal and toroidal mode numbers. It is found that the toroidal flow increment is linearly modulated by the bias current/return current. The frequency of the 2/1 TM is also found to be proportional to the toroidal flow during the bias phase, which is consistent with the theoretical expectation. The electron diamagnetic drift frequency is almost constant before and during the bias phase. Moreover, the statistical analysis shows that the saturated island width of the TM is more correlated to the toroidal flow amplitude than the flow shear, which reveals that the effect of the TM depends on the magnitude of the toroidal flow rather than the flow shear. This result may illustrate the process of the 2/1 TM controlled by the electrode biasing, and suggests that changing the magnitude of toroidal flow is a possible method for stabilizing the TM.
Examining Student Regulation of Collaborative, Computational, Problem-Solving Processes in Open-Ended Learning Environments

The integration of computational modelling in science classrooms provides a unique opportunity to promote key 21st century skills including computational thinking (CT) and collaboration. The open-ended, problem-solving nature of the task requires groups to grapple with the combination of two domains (science and computing) as they collaboratively construct computational models. While this approach has produced significant learning gains for students in both science and CT in K–12 settings, the collaborative learning processes students use, including learner regulation, are not well understood. In this paper, we present a systematic analysis framework that combines natural language processing (NLP) of collaborative dialogue, log file analyses of students’ model-building actions, and final model scores. This analysis is used to better understand students’ regulation of collaborative problem solving (CPS) processes over a series of computational modelling tasks of varying complexity. The results suggest that the computational modelling challenges afford opportunities for students to a) explore resource-intensive processes, such as trial and error, to more systematic processes, such as debugging model errors by leveraging data tools, and b) learn from each other using socially shared regulation (SSR) and productive collaboration. The use of such SSR processes correlated positively with their model-building scores. Our paper aims to advance our understanding of collaborative, computational modelling in K–12 science to better inform classroom applications.
First Steps towards Understanding the Non-Linear Impact of Mg on Calcite Solubility: A Molecular Dynamics Study

Magnesium (Mg2+) is one of the most common impurities in calcite and is known to have a non-linear impact on the solubility of magnesian calcites. Using molecular dynamics (MD), we observed that Mg2+ impacts overall surface energies, local free energy profiles, interfacial water density, structure and dynamics and, at higher concentrations, it also causes crystal surface deformation. Low Mg concentrations did not alter the overall crystal structure, but stabilised Ca2+ locally and tended to increase the etch pit nucleation energy. As a result, Ca-extraction energies over a wide range of 39 kJ/mol were observed. Calcite surfaces with an island were less stable compared to flat surfaces, and the incorporation of Mg2+ destabilised the island surface further, increasing the surface energy and the calcium extraction energies. In general, Ca2+ is less stable in islands of high Mg2+ concentrations. The local variation in free energies depends on the amount and distance to nearest Mg in addition to local disruption of interfacial water and the flexibility of surface carbonate ions to rotate. The result is a complex interplay of these characteristics that cause variability in local dissolution energies. Taken together, these results illustrate molecular scale processes behind the non-linear impact of Mg2+ concentration on the solubility of magnesium-bearing calcites.
Seasonal dynamics of snow ablation on selected glaciers in central Spitsbergen derived from Sentinel-2 satellite images

Abstract The dynamics of seasonal snow ablation on six glaciers in central Spitsbergen (Dicksonland) were assessed by examining a set of Sentinel-2 satellite images covering the summer ablation season for the period 2016–19. All glaciers lost 80% or more of their surface snow cover during the studied ablation seasons. This bolsters the recently observed trend of local glacier thinning, even at higher altitudes. Snow ablation dynamics are highly dependent on the glaciers altitudes, their position relative to the prevailing wind direction and the exposure to insolation. The accumulation areas of the studied glaciers were delimited based on the overlap of the minimum extent of snow-covered areas in the four consecutive studied summer seasons. The high temporal and spatial resolutions of available images enabled a detailed description of the seasonal snow ablation dynamics. Moreover, an estimate of the average number of days with below threshold glacier snow cover was made. This study contributes to our understanding of recent processes and might further support the modelling of glacier melt and subsequent runoff.
Leadership and virtual team performance: A meta-analytic investigation

ABSTRACT We integrate functional leadership theory with theorizing in virtual team leadership research to extend and meta-analytically test theory regarding the relationships between different types of leadership behaviours (i.e., relationship-focused and task-focused leadership) and virtual team performance as well as moderators of these relationships. We find that both relationship-focused and task-focused leadership positively relate to virtual team performance. Further, two structural moderators (i.e., task interdependence and team size) and two methodological moderators (i.e., team type and the operationalization of team performance) change the team leadership-virtual team performance relationship, resulting in differential effects of relationship- and task-focused leadership. Regarding the structural moderators, we find that task-focused leadership is a weaker predictor of team performance in virtual teams with high (compared to low) task interdependence, and relationship-focused leadership is a stronger predictor of virtual team performance for larger (compared to smaller) teams. In terms of the methodological moderators, we find a stronger effect of task-focused leadership for intact (compared to adhoc) virtual teams, and a stronger effect of relationship-focused leadership on perceived team effectiveness (compared to efficiency/productivity). We conclude with a discussion of important areas for future research and highlight theoretical and practical implications.
Computational Fluid Dynamics (CFD) Study on the Effect of the Number of Blades on the Performance of Double-Stage Savonius Rotor

Article history: Received 16 February 2021 Received in revised form 14 March 2021 Accepted 15 March 2021 Available online 11 April 2021 Wind energy is known as renewable energy with the properties of the free, abundant and readily available source of energy. Wind power has now been seen as an alternative way to generate electricity. However, the existing wind turbines to harness this energy, which is used to transform wind kinetic energy into electricity still suffer low conversion capabilities. This study is therefore set out to evaluate the performance of a double-stage Savonius-type rotor while aiming to examine the effectiveness of this technique in increasing the efficiency while overcoming the inherent low inefficiency of the Savonius rotor. The simulations involved the use of the K-omega SST as the turbulent viscosity model. Three simulation models based on a different number of blades on the double-stage model are tested in terms of torque, power, torque coefficient and power coefficient. It is concluded that the double-stage technique was capable of enhancing the performance of the Savonius rotor. It was observed that more blades on a double-stage rotor have a negative effect on the performance of the Savonius rotor in terms of both torque efficiency and power efficiency. Comparing the three models, it was found that the two-blade model of the double-stage produced more torque and power output compared to the other three-blade and four-blade models of the double-stage Savonius rotor. Furthermore, the highest conversion efficiency in terms of power among all models occurs at the TSR of 0.6 with a corresponding maximum power coefficient of 18.4%.
Fermentative Potential of Native Yeast Candida famata for Prokupac Grape Must Fermentation

The fermentative potential of native Candida famata isolates from wild and cultivated blackberries was evaluated for potential application in Prokupac grape must fermentation. 5 isolates, out of a total 22 isolated yeasts, were identified as C. famata. After the initial screening of fermentative performances, microfermentation was performed in a sterile grape must. Produced samples were analyzed using the HPLC technique. All isolates showed an ability to grow at lower temperatures, good tolerance to 7% ethanol and 300 ppm of SO2. C. famata isolates WB-1, WB-2 and W-5 had similar fermentation performance, but WB-1 isolate was chosen for validation at a laboratory-scale level according to a pleasant, fruity aroma, highest fermentative vigor and power, good organic acid profile and the highest level of ethanol and glycerol produced in micro-vinification experiments. Good enological performance of selected C. famata WB-1 isolate is confirmed by higher level of glycerol, lower level of ethanol and acetic acid in wine samples produced in pure and sequential fermentation, when compared to the control sample. Throughout the selection of C. famata yeasts with good enological potential, this work gives a contribution in the area of precision enology, aiming to find a perfect match between non-exploited yeasts and “autochthonous” grape cultivar Prokupac.
Red Grape Pomace Rich in Polyphenols Diet Increases the Antioxidant Status in Key Organs—Kidneys, Liver, and Spleen of Piglets

Simple Summary Grape pomace (GP) is a residue generated by the wine industry that is produced in large quantities. This work aims to describe the beneficial effects replacing 5% of the corn in the diet of piglets with grape pomace. GP, besides other components, contains some important bioactive compounds called polyphenols. The study shows that the polyphenols from a 5% grape pomace diet are absorbed into the blood of piglets that receive it. These bioactive molecules have a beneficial action on the health status of the animals and also increase the antioxidant activity in the liver, spleen, and kidneys, which are key organs in the metabolism of the nutrients. Abstract The aim of this work was to evaluate the influence of a diet containing 5% dried GP on the antioxidant status (total antioxidant status (TAS), antioxidant enzyme activity (catalase-CAT, superoxide dismutase-SOD, and gluthatione peroxidase-GPx), and lipid peroxidation) on the key organs of the liver, kidneys, and spleen in relation to health status as indicated by blood biochemical parameters and total polyphenol content in the blood, organs (liver, spleen, kidney, mesenteric lymph nodes, heart, and brain) and Longissimus dorsi muscle in piglets. The GP diet results in a significant increase of TAS in the liver, spleen, and kidneys, with increased CAT activity in the spleen and kidneys, increased SOD activity in the liver, kidneys, and spleen, and increased GPx activity in the kidneys, as well as a decrease in lipid peroxidation in the liver and kidneys. The GP included in the piglets’ feed contained polyphenols that showed antioxidant activity and were absorbed in the plasma, contributing to maintaining the good health of the animals. The inclusion of 5% GP inclusion in the diets of piglets is beneficial for overall normal blood constituent metabolism and helps to maintain piglet health by increasing the polyphenol content in blood plasma and antioxidant activity in the liver, spleen, and kidneys.
Multi-stakeholder perspective on the role of universities in place branding

Shalini Bisani shalini.bisani@northampton.ac. uk Dr Marcella Daye marcella.daye@northampton.ac. uk Dr Kathleen Mortimer Kathleen.mortimer@northampton.ac. uk University of Northampton, UK Accepted for publication in Journal of Place Management and Development, 16/02/2021 Abstract Purpose The purpose of this paper is to create a conceptual framework to demonstrate the role of universities as a knowledge partner in place branding networks. Design/methodology/approach This research adopts a case study strategy to explore the perceptions of institutional and community stakeholders in Northamptonshire. The objective is to examine the regional activities and engagement of a single player university in a peripheral region and explore its potential for widening stakeholder participation. Qualitative data was collected through interviews and focus groups and thematically analysed.