Miracle-dz/UniFAR-FTUs huggingface dataset:
Corn Cob Ash versus Sunflower Stalk Ash, Two Sustainable Raw Materials in an Analysis of Their Effects on the Concrete Properties

The increased CO2 emissions determined by the cement industry led to continuous and intensive research on the discovery of sustainable raw materials with cementitious properties. One such raw material category is agricultural waste. This study involved research on the effects of corn cob ash and sunflower stalk ash, respectively, on compressive strength measured after 28 days and 3 months, the flexural and splitting tensile strengths, the resistance to repeated freeze–thaw cycles, and on the resistance to chemical attack of hydrochloric acid of the concrete. A 2.5% and 5% replacement of the cement volume with corn cob ash (CCA) of A and B quality was applied, and with sunflower stalk ash (SSA) at A and B quality, respectively. The obtained results revealed that CCA and SSA decreased the compressive and tensile strength, but led to higher resistance of the concrete on repeated freeze–thaw cycles and to hydrochloric acid. The mixes with 2.5% SSA at A quality obtained the best results regarding splitting the tensile strength and resistance to repeated freeze–thaw cycles, the mixes with 2.5% SSA at B quality led to the highest resistance to hydrochloric acid, and those with 2.5% CCA at A quality led to the best values of compressive strength and flexural tensile strength.
Effect of weather parameters on incidence of insect pests of cucumber in eastern Bihar

The insect-pests infestation in cucumber leads to severe injury to its’ vegetative parts and fruits by epilachna beetle, red pumpkin beetle, whitefly, pumpkin caterpillar, leaf minerand fruit fly. The present investigation was taken upduring 2014 and 2015 to study the population dynamics of prevailing six insect-pests of cucumber and its natural enemies inrelation to weather parameters.The correlation studies between insect pests and weather parameters revealed that the melon fruit fly (Bactrocera cucurbitae Coquillett), epilachna beetle (Epilachna vigintioctopunctata Fabricius), red pumpkin beetle (Aulacophora foveicollisLucas), whitefly (Bemisia tabaci Gennadius), pumpkin caterpillar (Diaphania indica Saunders) and leaf miner (Liriomyza trifolii Burgess) showed significant positive correlation with maximum and minimum temperature,whereas negative and nonsignificant correlation with relative humidity and rainfall. The natural enemies such ascoccinellids and spiders showed significant positive correlation with maximum and minimum temperature, and non significant negative correlation with relative humidity and rainfall. Sunshine hour showed positive correlation with all the insect pests and natural enemies except epilachna beetle.
The Importance of Employees’ Knowledge in Sustainable, Green Manufacturing: Numerical Modeling Approach

The employees’ knowledge level is crucial because it ensures the long-term social, environmental, and financial sustainability of a company’s operations on the global market. In doing so, there is a problem of how to measure the employees’ knowledge level within the segment, and improve it based on performed measures. In our research, we proposed the use of real-world problem solving for the purpose of determining and improving the employees’ knowledge level potential. In the study, we present a numerical modeling approach to evaluate real-world problem-solving capabilities and find out how the captured data influence the important parameters for determining the employee’s knowledge level. We have measured seven parameters (number of solutions, technological feasibility of the proposed solutions, team thinking activities, age, prior knowledge about sustainable production methods, and education level). By using linear regression, we have defined general forms of functional dependencies that enable the individual company to calculate and, if necessary, increase the employees’ knowledge level for their team. The results of the research show the correlation dependence of individual parameters, in which we found a close relationship between the employees’ knowledge level and age, as well as the technological feasibility of proposed solutions and educational level. In the final phase of the research, we conducted an experiment with mixed groups consisting of participants from different age groups, with the results showing a high degree of intergenerational integration importance.
Investigating the Postprandial Metabolome after Challenge Tests to Assess Metabolic Flexibility and Dysregulations Associated with Cardiometabolic Diseases

This review focuses on the added value provided by a research strategy applying metabolomics analyses to assess phenotypic flexibility in response to different nutritional challenge tests in the framework of metabolic clinical studies. We discuss findings related to the Oral Glucose Tolerance Test (OGTT) and to mixed meals with varying fat contents and food matrix complexities. Overall, the use of challenge tests combined with metabolomics revealed subtle metabolic dysregulations exacerbated during the postprandial period when comparing healthy and at cardiometabolic risk subjects. In healthy subjects, consistent postprandial metabolic shifts driven by insulin action were reported (e.g., a switch from lipid to glucose oxidation for energy fueling) with similarities between OGTT and mixed meals, especially during the first hours following meal ingestion while differences appeared in a wider timeframe. In populations with expected reduced phenotypic flexibility, often associated with increased cardiometabolic risk, a blunted response on most key postprandial pathways was reported. We also discuss the most suitable statistical tools to analyze the dynamic alterations of the postprandial metabolome while accounting for complexity in study designs and data structure. Overall, the in-depth characterization of the postprandial metabolism and associated phenotypic flexibility appears highly promising for a better understanding of the onset of cardiometabolic diseases.
The Role of Emotional Intelligence and Social Support: Predicting The Students' Learning Achievement Improvement

The purpose of this study was to determine the role of emotional intelligence and social support with learning achievement in class XI students of SMA Negeri 1 Bengkulu Selatan. This study is a non-experimental study with a correlational design to determine the effect of emotion regulation on students' learning achievement. This study proves two hypotheses, first, there is a significant emotional intelligence with an increase in student achievement. Second, there is a significant relationship between social support and an increase in student achievement. This study collected data from 89 students using a random technique from the population of SMA Negeri 1 Bengkulu Selatan. The data collection instruments used were emotional intelligence questionnaires, social support questionnaires and student achievement documents. The analysis used is more specific, namely simple linear regression analysis. The results showed that there was a significant relationship between emotional intelligence and academic achievement with an rxy value of 0.283 plus a p value of 0.013. Furthermore, second hypotheses, there is a significant relationship between social support and an increase in student achievement was rejected with a p value of 0.064 and clarified with an rxy value of 0.212, which means that there is no relationship between social support and increased learning achievement. The results of this study can be used as a reference to determine the right way to deal with students' academic and problems with guidance and counseling that is fun to maximize emotional intelligence, social support and student achievement
Visible-Light-Driven Reduced Graphite Oxide as a Metal-Free Catalyst for Degradation of Colored Wastewater

Reduced graphite oxide (rGO)-based materials have demonstrated promising potential for advanced oxidation processes. Along with its distinctive 2D characteristics, rGO offers the prospect of catalytic degradation of various kinds of organic pollutants from aqueous environments. The practical application of rGO as a metal-free catalyst material to promote the Fenton reaction depends on the degree of rGO reduction. In this regard, the rGO was prepared according to oxidation by modified Hummers’ method and two-step reduction via hydrothermal and calcination in the N2 atmosphere. The as-prepared rGO was characterized in terms of X-ray diffraction, Fourier-transform infrared spectroscopy, thermal gravimetric analysis, scanning electron microscopy, UV-vis absorption spectroscopy, and transmission electron microscopy. The effectiveness of as-prepared rGO as a photocatalyst and the metal-free catalyst to decolorize different textile dyes, including basic red 46, basic red 18, and methylene blue, was investigated in visible/rGO and visible/rGO/H2O2 systems. The impact of operational factors such as catalyst dose, pH, and initial dye concentration was examined. The dye degradation process was investigated by the pseudo-first-order kinetic model. In addition, the recyclability of rGO in the visible/rGO/H2O2 system was examined.
A Review of Deep Learning in Multiscale Agricultural Sensing

Population growth, climate change, and the worldwide COVID-19 pandemic are imposing increasing pressure on global agricultural production. The challenge of increasing crop yield while ensuring sustainable development of environmentally friendly agriculture is a common issue throughout the world. Autonomous systems, sensing technologies, and artificial intelligence offer great opportunities to tackle this issue. In precision agriculture (PA), non-destructive and non-invasive remote and proximal sensing methods have been widely used to observe crops in visible and invisible spectra. Nowadays, the integration of high-performance imagery sensors (e.g., RGB, multispectral, hyperspectral, thermal, and SAR) and unmanned mobile platforms (e.g., satellites, UAVs, and terrestrial agricultural robots) are yielding a huge number of high-resolution farmland images, in which rich crop information is compressed. However, this has been accompanied by challenges, i.e., ways to swiftly and efficiently making full use of these images, and then, to perform fine crop management based on information-supported decision making. In the past few years, deep learning (DL) has shown great potential to reshape many industries because of its powerful capabilities of feature learning from massive datasets, and the agriculture industry is no exception. More and more agricultural scientists are paying attention to applications of deep learning in image-based farmland observations, such as land mapping, crop classification, biotic/abiotic stress monitoring, and yield prediction. To provide an update on these studies, we conducted a comprehensive investigation with a special emphasis on deep learning in multiscale agricultural remote and proximal sensing. Specifically, the applications of convolutional neural network-based supervised learning (CNN-SL), transfer learning (TL), and few-shot learning (FSL) in crop sensing at land, field, canopy, and leaf scales are the focus of this review. We hope that this work can act as a reference for the global agricultural community regarding DL in PA and can inspire deeper and broader research to promote the evolution of modern agriculture.
A Method of Determining Steady-state Power Operation Range for Modular Multilevel Converter

In order to determine the steady-state operation range of the modular multilevel converter( MMC), the determining method of the rated operating point of MMC is studied. The process of designing the converter transformer second-side voltage is described.Based on an analysis of the phasor diagram, the relationship between the electrical phasor diagram and the power capability curve of MMC is explained. And the relationship between the magnitude of the electrical quantity and the steady-state power operation range of MMC is intuitively revealed. The possible ranges of the inner electromotive force and phase angle are analyzed, since they are the dominating factors to determine the reactive power limits. The calculation and verification processes of determining the active and reactive power ranges are displayed by an actual case study.
Insights into Structure and Biological Activity of Copper(II) and Zinc(II) Complexes with Triazolopyrimidine Ligands

In an attempt to increase the biological activity of the 1,2,4-triazolo[1,5-a]pyrimidine scaffold through complexation with essential metal ions, the complexes trans-[Cu(mptp)2Cl2] (1), [Zn(mptp)Cl2(DMSO)] (2) (mptp: 5-methyl-7-phenyl-1,2,4-triazolo[1,5-a]pyrimidine), [Cu2(dmtp)4Cl4]·2H2O (3) and [Zn(dmtp)2Cl2] (4) (dmtp: 5,7-dimethyl-1,2,4-triazolo[1,5-a]pyrimidine), were synthesized and characterized as new antiproliferative and antimicrobial species. Both complexes (1) and (2) crystallize in the P21/n monoclinic space group, with the tetrahedral surroundings generating a square-planar stereochemistry in the Cu(II) complex and a tetrahedral stereochemistry in the Zn(II) species. The mononuclear units are interconnected in a supramolecular network through π–π interactions between the pyrimidine moiety and the phenyl ring in (1) while supramolecular chains resulting from C-H∙∙∙π interactions were observed in (2). All complexes exhibit an antiproliferative effect against B16 tumor cells and improved antibacterial and antifungal activities compared to the free ligands. Complex (3) displays the best antimicrobial activity against all four tested strains, both in the planktonic and biofilm-embedded states, which can be correlated to its stronger DNA-binding and nuclease-activity traits.
Geographic and Ethnic Variations in Serum Concentrations of Legacy Persistent Organic Pollutants among Men in the Nenets Autonomous Okrug, Arctic Russia

The overwhelming majority of Arctic biomonitoring studies in humans include either pregnant or non-pregnant women of reproductive age while little attention is paid to toxic compounds concentrations in men. This study contributes with information of the present amounts of persistent organic pollutants (POPs) in men living in Arctic Russia. We studied the serum concentrations of 11 polychlorinated biphenyl (PCB) congeners and 17 organochlorine pesticides (OCPs) and some of their metabolites in samples collected from 92 adult men (mean age 43 years) from seven different settlements in Nenets Autonomous Okrug (NAO). The median concentrations of individual PCB congeners increased in the order PCB 183, PCB 180, PCB 118, PCB 138, PCB 153. The concentrations of o, p′-DDD, p, p′-DDD, aldrin, mirex and 1,2,3,5-TCB were in most cases below the quantification limit. The observed concentrations of PCBs and chlorinated pesticides were in the same range as those found in similar groups of women of these territories, but lower than of men in other Arctic countries. However, significant geographic differences between the settlements were observed with exceptionally high concentrations of PCBs in the Islands group. The highest serum ∑PCBs and β-HCH levels were observed in adult males aged 60–78 years. We found significant variations in serum concentrations of POPs across settlements and ethnic groups with exceptionally high concentrations of PCBs among the residents of the Arctic islands. At the same time, our findings suggest a considerable decrease in serum concentration of POPs over the last decade.
Maturity of white matter tracts is associated with episodic memory recall during development

Abstract The structure-function relationship between white matter microstructure and episodic memory (EM) has been poorly studied in the developing brain, particularly in early childhood. Previous studies in adolescents and adults have shown that episodic memory recall is associated with prefrontal-limbic white matter microstructure. It is unknown whether this association is also observed during early ontogeny. Here, we investigated the association between prefrontal-limbic tract microstructure and EM performance in a cross-sectional sample of children aged 4 to 12 years. We used a multivariate partial least squares correlation approach to extract tract-specific latent variables representing shared information between age and diffusion parameters describing tract microstructure. Individual projections onto these latent variables describe patterns of interindividual differences in tract maturation that can be interpreted as scores of white matter tract microstructural maturity. Using these estimates of microstructural maturity, we showed that maturity scores of the uncinate fasciculus and dorsal cingulum bundle correlated with distinct measures of EM recall. Furthermore, the association between tract maturity scores and EM recall was comparable between younger and older children. Our results provide new evidence on the relation between white matter maturity and EM performance during development.
High-Purity Preparation of Enzyme Transformed Trans-Crocetin Reclaimed from Gardenia Fruit Waste

The recovery of physiologically bioactive ingredients from agricultural wastes as an abundant and low-cost source for the production of high value-added mutraceuticlas has been recognized and supported for the commercial interests and sustainable managements. In the extraction of geniposide for the development of natural food colorants from the dried fruits of Gardenia jasminoides Rubiaceae, the gardenia fruit waste (GFW) still remaining 0.86% (w/w) of crocins has always been discarded without any further treatments Until now, there was no simple and effective protocol for high-purity trans-crocein (TC) preparation without the coexistence of non-biologically active cis-crocein from GFW. We proposed an effective process to obtain the compound as follows. Crocins were extracted firstly by 50% of ethanol in the highest yield of 8.61 mg/g (w/w) from GFW. After the HPD-100 column fractionation in the collecting of crocins, the conversion ratio of 75% of crocins to crocetins can be obtained from the commercial available enzyme- Celluclast® 1.5 L. The crocins hydrolyzed products, were then separated through the HPD-100 resin adsorption and finally purified with the centrifugal partition chromatography (CPC) in single-step to obtain TC in a purity of 96.76 ± 0.17%. Conclusively, the effective enzyme transformation and purification co-operated with CPC technologies on crocins resulted in a high purity product of TC may be highly application in the commercial production.
A comparative study of knowledge, beliefs, and opportunities to learn afforded to physical science B.Ed students

Since large-scale studies show country and institutional differences in the preparation of B.Ed students, there is growing interest in the determination of the opportunities-to-learn afforded to them and the effects thereof in South African universities and elsewhere. There are, however, few studies that provide a contextually nuanced view of the effects of teacher education programmes on B.Ed students. This study therefore compares opportunities-to-learn afforded to physical science B.Ed students and their levels of competence that include knowledge and beliefs at four South African universities. Quantitative analysis reveals that some universities afforded these students more opportunities-to-learn in agreement with the nature of these universities. Furthermore, some opportunities-to-learn afforded to B.Ed students are provisionally related to measures of beliefs but they are not related to knowledge measures. Our findings suggest that while the B.Ed students seem to be afforded sufficient opportunities-to-learn at some universities, this does not readily translate into higher levels of competence.
A clinicopathological study of squamous cell carcinoma of oral cavity and oropharynx in non-smoker and non-drinker patients

Background: To describe the clinicopathological variables of the Squamous cell carcinoma (SCC) of oral cavity and oropharynx in non-smoker and non-drinker patients (NSND). Methods: A retrospective review of thirty NSND patients with proven SCC of oral cavity and oropharynx in ENT department at Government Medical College Patiala. Data collected included demographics, aetiological factors, site, symptoms, nodal metastasis, histopathological grading and TNM staging at presentation.Results: In oral cavity cancers, patients presented commonly in 4th decade whereas in oropharynx, commonly in 6th decade. NSND patients were more likely to be female, male female ratio being 43:56. In NSND women, 82% had oral cavity SCC and 18% had oropharyngeal SCC. 13% of NSND patients reported sharp tooth, 10% reported regular environmental exposure, and 10% reported occupational exposure followed by lichen planus (6.67%). In oral cavity SCC, maximum incidence was that of oral tongue (59.1%) and in oropharyngeal SCC, base of tongue (62.5%) was most commonly involved. Overall, well differentiated SCC predominated in both oral cavity and oropharyngeal carcinoma in our study. In oral cavity SCC, maximum patients presented in early tumor staging i.e T1 and T2 (81.8%) and early overall staging (stage I and II). In oropharyngeal SCC, maximum patients presented in advanced tumor staging i.e T3 and T4 (62.5%) and advanced overall staging (stage III, IV). Conclusions: In NSND patients, potential factors like sharp tooth, environmental smoke, occupational exposure and lichen planus may contribute to SCC in oral cavity and oropharynx.
Analysis of the Motivation of Students of the Last Cycle of Primary School in the Subject of Physical Education

Motivation is the impulse that leads people to perform certain actions and persist in them to achieve certain objectives. Motivation is important in all areas of life and has a very important role in academics, where it can be considered essential for learning motor skills and performance. In this study, we intended to evaluate motivation in the Physical Education classroom among students in the last grade of elementary school. For this purpose, a total of 545 students aged between 9 and 13 years were selected to take the CMEF-EP questionnaire through a tablet and by means of the Google Forms application. The different relationships between items and dimensions were analyzed using the Mann–Whitney U test. A Spearman’s test was used to explore the relationship between dimensions and age. The results showed that the predominant motivation in the classroom is intrinsic motivation and that demotivation is practically nonexistent. In addition, it was found that there are differences between the genders in some of the categories and that there are no differences in the location of the study center. Therefore, it can be said that it is essential to generate a motivational climate based on the subject and his or her interests in order to favor intrinsic motivation.