Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Management Skills and Student Achievement – A Pilot Study

The adaptation pressure of youths to a labor market with a low predictability degree determines the necessity of developing certain competences which can be easily transferrable and which can ensure the personal and professional success. We have considered non cognitive abilities (attitudes, emotions, behaviours) which proved to be significant predictors of success and mental health (Heckman, 2008) and which contribute significantly to a rise in emotional strength and to a wide range of adaptative strategies imposed by contemporary society (Opre et al., 2018). The speciality literature confirms the importance of non-cognitive abilities in the students’ / pupils’ academic success (Heckman et al., 2006; Heckman, 2008; Deming, 2015; Balica et al., 2016). The predictability degree of diverse non cognitive abilities over academic success is different as most studies do not supply relevant data about abilities such as self-efficacy, growth mindset or social awareness (Claro & Loeb, 2019), while abilities like self-management defined as the ability to regulate one’s emotions, thoughts, and behaviors in different situations (Duckworth & Carlson, 2013) represents a good predictor of academic achievement (Blair & Raver, 2015; Riggs et al., 2016). We consider self-management as being that umbrella construct which refers to abilities such as self-control, self-regulation, self-discipline, will power and self-power (Duckworth & Kern, 2011). Under the circumstances in which students with major risk abandonment participate in specific activities to develop personal, socio-emotional and learning management abilities, our study proposes to examine the variation of self-management abilities of students who participated in these activities and of students who did not participate in the activities and who are not prone to risk abandonment. Also, we wish to investigate if there is a relation between students’ self-management abilities and student achievement.
Metallogenic fingerprint of a metasomatized lithospheric mantle feeding gold endowment in the western Mediterranean basin

Spinel peridotite xenoliths (one plagioclase-bearing) hosted in alkaline basalts from Tallante (southeast Spain) record the mineralogical and geochemical fingerprint of the subcontinental lithospheric mantle (SCLM) evolution beneath the southern Iberian margin. Mantle metasomatism in fertile lherzolites caused the crystallization of clinopyroxene + orthopyroxene + spinel clusters through the percolation of Miocene subalkaline melts during the westward migration of the subduction front in the western Mediterranean. In the Pliocene, heat and volatiles provided by alkaline host-magmas triggered very low melting degrees of metasomatic pyroxene-spinel assemblages, producing melt quenched to silicate glass and reactive spongy coronae around clinopyroxene and spinel. Refertilization of the Tallante peridotites induced the precipitation of base-metal sulfides (BMS) included in metasomatic clino- and orthopyroxene. These sulfides consist of pentlandite ± chalcopyrite ± bornite aggregates with homogeneous composition in terms of major elements (Ni, Fe, Cu) and semi-metals (Se, As, Te, Sb, Bi), but with wide variability of platinum-group elements (PGE) fractionation (0.14 < PdN/IrN < 30.74). Heterogeneous PGE signatures, as well as the presence of euhedral Pt-Pd-Sn-rich platinum-group minerals (PGM) and/or Au-particles within BMS, cannot be explained by conventional models of chalcophile partitioning from sulfide melt. Alternatively, we suggest that they reflect the incorporation of distinct populations of BMS, PGM, and metal nanoparticles (especially of Pt, Pd, and Au) during mantle melting and/or melt percolation. Therefore, we conclude that Miocene subalkaline melts released by asthenosphere upwelling upon slab tearing of the Iberian continental margin effectively stored metals in metasomatized domains of this sector of the SCLM. Remarkably high Au concentrations in Tallante BMS (median 1.78 ppm) support that these metasomatized domains provided a fertile source of metals, especially gold, for the ore-productive Miocene magmatism of the westernmost Mediterranean.
Poetics

This review examines three books published in the field of poetics in 2020: Candice Amich’s Precarious Forms: Performing Utopia in the Neoliberal Americas; Ren Ellis Neyra’s The Cry of the Senses: Listening to Latinx and Caribbean Poetics; and Anthony Reed’s Soundworks: Race, Sound, and Poetry in Production. I show that these three books, which discuss poetry in connection with other art forms, each call for a reordering of the senses through which we perceive and analyze poetry (and other texts). While Ellis Neyra advocates multisensorial listening and Reed calls for a mode of listening attentive to what remains unnamed within current perceptual and political schema, Amich shows the importance of paying attention to the embodied rhythms and tactility of poetry and performance texts. For all three authors, these alternatives to individualized, detached, and indeed deadened linguistic contemplation proffer strategies for remaking not only common sense, but the common itself. The chapter is structured under the following headings: 1. Introduction; 2. Poetics; 3. Sensoria; 4. Politics.
Liquidity-free implied volatilities: An approach using conic finance

In this paper, we consider the problem of calculating risk-neutral implied volatilities of European options without relying on option mid prices but solely on bid and ask prices. We provide an approach, based on the conic finance paradigm, that allows to uniquely strip risk-neutral implied volatilities from bid and ask quotes, and that does not require restrictive assumptions. Our methodology also allows to jointly calculate the implied liquidity of the market. The idea outlined in this paper can be applied to calculate other implied parameters from bid and ask security prices as soon as their theoretical risk-neutral counterparts are strictly increasing with respect to the former.
Beliefs and Practices About Remote Teaching Processes During the Pandemic: A Study with Chilean Mathematics Teachers

This study determines the factors associated with teachers’ beliefs and practices during the pandemic. An online instrument designed and implemented for Chilean mathematics teachers, with a total of 423 math teachers participating. The instrument is found psychometrically valid to study teachers’ pedagogical-technological beliefs and their remote practices. The results show teachers’ high self-efficacy levels regarding the personal use of technology, but moderate self-efficacy in integrating technology in teaching. Moreover, teachers see a much more active role for themselves than for students in online activities. Gender differences were only significant for teaching practices, where the results reported women as more active than men. Teacher age is not recognized as a factor affecting teachers’ pedagogical-technological beliefs and their remote practices. Finally, the study confirms a significant influence of socioeconomic context in teachers’ beliefs and practices during the pandemic. It recommends that policymakers need to provide adequate resources and knowledge to support teachers in integrating technologies in distance education, especially those working in the
Student–Teacher Gender Matching and Academic Achievement

Scholars have examined the effects of same-gender teachers on student achievement, but the findings are mixed. In this study, we use 7 years of administrative data from students in elementary and middle schools (i.e., Grades 3 through 8) in Indiana to test links between gender matching and student achievement. We find that female teachers are better at increasing both male and female students’ achievement than their male counterparts in elementary and middle schools. The positive effects of having female math teachers are particularly large for female students’ math achievement, but we do not find evidence for a positive gender matching effect in English language arts. In addition, contrary to popular speculation, boys do not exhibit higher academic achievement when they are assigned to male teachers. Our findings suggest that the effects of teacher gender on student learning vary by subject and gender, but the effect sizes are small.
Study Visits as a Method of Professional Motivation Formation in Future Choreographers

The article presents the results of the studying the effect of the study visits method on the formation of professional motivation in second-year students majoring in specialty 024 "Choreography". Group balancing was performed by random selection according to age, gender and levels of choreographic training. The experiment was conducted in accordance with the pattern "Before-after with the control group". The study visits method of famous choreographers was used to conduct master classes with students of the experimental group. Rean's technique (adapted by the author) is used to diagnose the students' level of professional motivation. Pearson's coefficient and χ2 - Pearson's criterion were used to calculate the relationships between factor and result features, as well as to define the statistical significance of the data obtained. The study visits' motivational potential in the course of training future choreographers is revealed: in the experimental group in comparison with the control group there was a significant increase in motivation. The correlation between the growth of motivation and the increase of the level of the students' choreographic training is revealed. The analysis of students' essays was carried out, which established the content of students' motivational intentions for future professional activity. The role of transgression as a phenomenon of shaping the choreography students' motivation under the influence of encounters with artists is brought forward, which should be subject to further research.
Double-atom catalysts: transition metal dimer-anchored C2N monolayers as N2 fixation electrocatalysts

Nitrogen fixation is one of the most essential processes in chemistry. Developing more effective nitrogen fixation systems to catalyze the reaction under mild conditions is one of the most attractive but long-standing challenges. In this work, by means of first-principles computations, we systematically investigated the catalytic performance of transition metal atom-anchored C2N monolayer electrocatalysts (TMx@C2N, x = 1 or 2; TM = Ti, Mn, Fe, Co, Cu, Mo, Ru, Rh, Pd, Ag, Ir, Pt, or Au) for N2 fixation. The natively N edged uniform holes could fix the TM atoms firmly in TM–Nx configurations, which is beneficial for the N2 fixation. Among them, Mo2@C2N exhibits the best catalytic performance for the reduction of N2 to NH3 with a maximum free energy change of 0.41 eV and an energy barrier of 0.51 eV, indicating that Mo2@C2N is a promising catalyst with high catalytic activity for the reduction of N2 to NH3. We believe that this work could provide a new idea for the design of N2 fixation catalysts and shed light on C2N monolayers as excellent substrates for catalysis.
Influence of Fertilizer on the Yield and Quality Parameters of Garri from Two Improved Cassava Cultivars (TME 419 and TMS 01/1412)

Aims: Food insecurity is a major problem in developing countries, to overcome this problem, fertilizers are used to increase yield of agricultural produce. However, fertilizer may affect the quality of processed products. This study aimed to investigate the influence of fertilizer treatments levels on yield and quality properties of garri from two improved cassava varieties (TME 419 and TMS 01/1412). Methodology: Cassava roots were planted with varying fertilizer levels [50% (45, 20 and 35 kg/hectare of NPK-12-12-17, Muriate of Potash and Urea, respectively) and 100% (90, 40 and 70 kg/hectare of NPK-12-12-17, Muriate of Potash and Urea, respectively)]. Garri yield, chemical, physicochemical, pasting properties, and sensory attributes of garri were evaluated. Results: Results showed 30% and 22% increase in garri yield from 100% fertilized TME and TMS cassava root, respectively. The chemical contents of the garri samples increased with increasing fertilizer level. Cyanide contents of the garri samples decrease with increasing fertilizer level. Garri from 100% fertilizer treatment had higher water absorption capacity (3.51 g/ml and 3.32 g/ml), reconstitution index (72.75% and 77.20%) and gelation index (7.0% and 8.0%), but lower swelling capacity (3.43 g/ml and 3.02 g/ml) and bulk density (0.55 g/cm3 and 0.51 g/cm3) in TME and TMS cultivar, respectively. Conclusion: High level of fertilizer application improved the chemical components, reduced the cyanide contents and pasting properties of garri samples from the two cassava cultivars.
Impact of Quadrature Booster on Power-System State Estimation in Polar Coordinates

The paper concerns the estimation of the state of a power system in which there is a phase shifter called a quadrature booster. The aim of the paper is a comparative analysis of two different cases including the quadrature booster in the state estimation. In the first case, the quadrature booster is represented by a model consisting of two real voltage sources, one in series with a power line and the other in a shunt branch. In the second case, in the power system model, the real branch with the quadrature booster is represented as off at the end where the considered quadrature booster is actually installed. The state estimation is assumed to be carried out in the polar coordinate system. The properties of the state estimation are characterized by: the number of iterations in the calculation process, the index of conditioning of the matrix of coefficients in the equations to be solved (cond(G)), and ratio Je/Jm, which is a measure of the accuracy of the estimation. Using IEEE 14-bus test system, investigations are carried out in such a way as to cover the entire state space of the power system as possible. In the investigations, Monte Carlo experiments are carried out for each of the considered cases of the state estimation. Each of these cases is also analyzed from the point of view of the assumed definition of the state estimation. Investigations show that in the first of the previously described cases, the state estimation is more accurate, but there are more iterations in the calculations and worse conditioning of the estimation process. The comparative analysis also shows that, the accuracy of the results obtained in each of the considered cases is practically independent of the coordinate system in which the estimation calculations are performed. Taking into account the number of iterations in the estimation process and index cond(G), it can be concluded that the implementation of each of the above-mentioned estimation cases in the rectangular coordinate system is more reasonable.
Photonic Organolead Halide Perovskite Artificial Synapse Capable of Accelerated Learning at Low Power Inspired by Dopamine‐Facilitated Synaptic Activity

The ability of high‐order tuning of the synaptic plasticity in an artificial synapse can offer significant improvement in the processing time, low‐power recognition, and learning capability in a neuro‐inspired computing system. Inspired by light‐assisted dopamine‐facilitated synaptic activity, which achieves rapid learning and adaptation by lowering the threshold of the synaptic plasticity, a two‐terminal organolead halide perovskite (OHP)‐based photonic synapse is fabricated and designed in which the synaptic plasticity is modified by both electrical pulses and light illumination. Owing to the accelerated migration of the iodine vacancy inherently existing in the coated OHP film under light illumination, the OHP synaptic device exhibits light‐tunable synaptic functionalities with very low programming inputs (≈0.1 V). It is also demonstrated that the threshold of the long‐term potentiation decreases and synaptic weight further modulates when light illuminates the device, which is phenomenologically analogous to the dopamine‐assisted synaptic process. Notably, under light exposure, the OHP synaptic device achieves rapid pattern recognition with ≈81.8% accuracy after only 2000 learning phases (60 000 learning phases = one epoch) with a low‐power consumption (4.82 nW/the initial update for potentiation), which is ≈2.6 × 103 times lower than when the synaptic weights are updated by only high electrical pulses.
Phytochemical, cytotoxic, and genotoxic evaluation of protein extract of Amaranthus hypochondriacus seeds

ABSTRACT Amaranth has been of interest for its nutritional quality and its multiple benefits; however, there is little research on its toxicological effect. This work studied antinutritional compounds, the cytotoxic and genotoxic effect in the Amaranthus protein extract (PEAh). The content of lectins, tannins, saponins, and trypsin inhibitors was determined. Biological studies were conducted to determine toxicity in male CD-1 mice by intraperitoneal administration. The genotoxic potential was determined by the micronucleus test. The bone marrow cytotoxicity was determined by polychromatic erythrocyte (PE) rate and the cytotoxic effect was evaluated by the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) test. Our results showed considerably high concentrations of lectins and trypsin inhibitors, lower concentrations of tannins and saponins in PEAh. The PEAh was toxic to mice, presenting genotoxic and cytotoxic damage to bone marrow and hepatocytes.
Biochar enhances soil hydraulic function but not soil aggregation in a sandy loam

Biochar has the potential to modify soil structure and soil hydraulic properties because of its small particle density, highly porous structure, grain size distribution and surface chemistry. However, knowledge of the long‐term effects of biochar on soil physical properties under field conditions is limited. Using an 8‐year field trial, we investigated the effects of successive additions of high‐dose maize‐cob‐derived biochar (9.0 t ha−1 year−1, HB), low‐dose maize‐cob‐derived biochar (4.5 t ha−1 year−1, LB), straw return (SR) and control (no biochar or straw, CK) on soil aggregate distribution, three‐dimensional (3‐D) pore structure, hydraulic conductivity and water retention in the upper 10 cm of a sandy loam soil from the North China Plain. Results showed that LB and HB treatments increased soil organic C content by 61.0–116.3% relative to CK. Interestingly, biochar amendment did not enhance the proportion of macroaggregates (> 2 and 0.25–2 mm) or aggregate stability, indicating limited positive effects on soil aggregation. The HB treatment decreased soil bulk density, and increased total porosity and macroporosity (> 30 μm). The retention of soil water, including gravitational water (0–33 kPa), capillary water (33–3100 kPa) and hygroscopic water (> 3100 kPa), was improved under HB soil. The HB and LB treatments increased plant‐available water content by 17.8 and 10.1%, respectively, compared with CK. In contrast, SR showed no significant increase in soil porosity and water retention capacity but improved the water stability of macroaggregates. We concluded that biochar used in the coarse‐textured soil enhanced saturated hydraulic conductivity and water‐holding capacity, but did not improve soil aggregation.
A new partition curve model of dense-medium cyclone based on process parameters

ABSTRACT The partition curve of gravity separation has been widely investigated, but few studies have established the models directly based on the operating conditions. A new model was proposed to predict the distribution rates of anthracite in a coal preparation plant with a compound input of density and process parameters. These included the density of dense-medium suspension d, the content of magnetic substance c, the inlet pressure of dense-medium suspension p and the coal feed rate r. The model took the following form: , where , indicate functions of the separation density δp and probable error Ep , respectively. The effects of each process parameter on the model were discussed, and their behaviors were in accordance with the knowledge of the dense-medium cyclone. It was proved that the proposed model performed better around the cut point of the curve compared with the previous method by means of solving the coefficients of partition curve equations. It was also more instructional and easier to use for field operators as it met their operating habits. It provided a foundation of real-time predictive control for dense-medium cyclones in coal preparation plants.
Automated Quantitative Image Evaluation of Antigen Retrieval Methods for 17 Antibodies in Placentation and Implantation Diagnostic and Research

Abstract Immunostaining in clinical routine and research highly depends on standardized staining methods and quantitative image analyses. We qualitatively and quantitatively compared antigen retrieval methods (no pretreatment, pretreatment with pepsin, and heat-induced pretreatment with pH 6 or pH 9) for 17 antibodies relevant for placenta and implantation diagnostics and research. Using our newly established, comprehensive automated quantitative image analysis approach, fluorescent signal intensities were evaluated. Automated quantitative image analysis found that 9 out of 17 antibodies needed antigen retrieval to show positive staining. Heat induction proved to be the most efficient form of antigen retrieval. Eight markers stained positive after pepsin digestion, with β-hCG and vWF showing enhanced staining intensities. To avoid the misinterpretation of quantitative image data, the qualitative aspect should always be considered. Results from native placental tissue were compared with sections of a placental invasion model based on thermo-sensitive scaffolds. Immunostaining on placentas in vitro leads to new insights into fetal development and maternal pathophysiological pathways, as pregnant women are justifiably excluded from clinical studies. Thus, there is a clear need for the assessment of reliable immunofluorescent staining and pretreatment methods. Our evaluation offers a powerful tool for antibody and pretreatment selection in placental research providing objective and precise results.
Rootstock’s and scion’s impact on lemon quality in southeast Spain

Abstract In terms of growth, yield and fruit quality, three lemon varieties (‘Fino49’ F49, ‘Verna50’ V50 and ‘FinoElche’ FE) were tested on three new hybrid root stock selections (Forner-Alcaide 2324, Forner-Alcaide 418 and Forner-Alcaide 5). Yield was weighed within a nine year period and fruit quality was determined in two harvests. Tree size was similar on the Forner-Alcaide 5 and Forner-Alcaide 2324 rootstocks, but reduced by 50% on Forner-Alcaide 418. Forner-Alcaide 2324 and the Forner-Alcaide 5 rootstocks showed similar cumulative yield, while it was decreased by 66% in Forner-Alcaide 418. In all cases, ‘Verna50’ was the less efficient scion. Rootstock was found to significantly affect fruit quality variables. The Forner-Alcaide 418 rootstock induced the lowest peel thickness and peel percentage, but the highest juice content and colour index. Forner-Alcaide 5, together with Forner-Alcaide 418, showed the highest total soluble sugars. In conclusion, both the Forner-Alcaide 5 and Forner-Alcaide 2324 rootstocks generate standard tree size and high yield in the varieties tested, together with great fruit quality, being a suitable alternative for replacing C. macrophylla rootstock when used in lemon varieties. Forner-Alcaide 418 reduces tree size without decreasing yield efficiency and improves alternate-bearing of the harvest. Thus, it may have use in intensifying citrus production as it behaves as a dwarfing rootstock.