Miracle-dz/UniFAR-FTUs huggingface dataset:
Humanistic learning elements in a blended learning environment: a study in an EFL teaching context

ABSTRACT Blended learning environment, like any other learning environment, may or may not have humanistic learning elements where the focus is on human capabilities like choice, individuality, personal growth, and moral values. Therefore, this study tries to check the availability of humanistic learning elements in the blended learning environment in English as a Foreign Language (EFL) context. A purposive sample that consists of 110 college and school teachers of English is used. The researcher used online questionnaire that is based on Veugelers’ approach (2011b) which deals with humanistic learning in terms of reflective learning, dialogical learning, and democratic learning. This study aims at investigating the humanistic learning elements in blended learning environment in relation to the three elements; reflective, dialogical, and democratic learning, and to empirically test gender, job variation and age as modrators among Iraqi EFL teachers who used blended learning. The findings of the study show that humanistic learning elements are found in the blended learning environment. They further show that there is no significant difference between male and female, college and school teachers, and young and aged teachers.
Leadership and Motivation to Performance through Job Satisfaction of Hotel Employees at D'Merlion Batam

COVID-19 era demanded that we became productive in improving performance, involvement of leaders, high motivation and someone's satisfaction at work are measures for business continuity and able to contribute to national economic recovery. The research objective was to confirm the theory with empirical evidence that focuses on leadership, employee motivation, employee job satisfaction and employee performance. The research used a causal model survey method using path analysis techniques. The population were 45 employees of the D'Merlion Hotel Batam, the sample was taken using the census method. The significance value of leadership on job satisfaction is 0,082 > 0,05, it is concluded that direct leadership has no significant effect on job satisfaction. The significance value of motivation on job satisfaction is 0,000 < 0,05, which implies that motivation has a significant direct effect on job satisfaction. The significance value of leadership on performance is 0,000 < 0,05 which means that leadership has a significant direct effect on employee performance. The significance value of motivation on performance is 0,009 < 0,05 showing that motivation has a significant direct effect on employee performance. The significance value of job satisfaction on performance is 0,008 < 0,05, so job satisfaction directly has a significant effect on employee performance.
Amplification of the Hazelnut-Induced Epigenetic Modulation of LDLR Gene Expression in THLE-2 Human Primary Hepatocytes Compared to HepG2 Hepatocarcinoma Cells

Dietary supplementation with tree nuts, including hazelnuts, has been associated with reduced cardiovascular disease risk factors, due to improved blood lipid profile. In the attempt to identify the molecular mechanism(s) underlying such beneficial effect, we here characterized the response of the human primary hepatocytes (THLE-2 cells) to the administration of an ethanolic extract of hazelnut (Corylus avellana L., cultivar Tonda Gentile Romana) in terms of regulation of the Low-Density Lipoprotein Receptor (LDLR), a major blood cholesterol carrier that positively correlates with improved blood lipids level. We demonstrated that hazelnut (0.004-0.4 mg/ml) does not alter viability and growth of primary liver cells, but significantly stimulates (P<0.05) the LDLR mRNA and membrane protein expression. We also proved that LDLR increase is driven by an epigenetic-based mechanism, as hazelnut treatments trigger a strong DNA hypo-methylation of two CpG-rich regions in the LDLR gene promoter, mapping at -739/-548 and -221/+174 position. The hazelnutmediated hypo-methylation is much stronger and extensive in THLE-2 than in HepG2 human hepatocarcinoma cells, supporting the significance of the liver context for performing studies on dietary supplementation. As overall, our findings demonstrate that hazelnut triggers an epigenetic-dependent regulation of LDLR expression in human primary liver cells in vitro, thus identifying in the LDLR stimulation a molecular mechanism contributing to the health promoting functions of hazelnuts.
Promising online learning and teaching in digital age: systematic review analysis

Submitted: 9 February 2021 Revised: 18 March 2021 Accepted: 27 April 2021 This paper discusses online learning in the digital era by reviewing various international publications. This study is interesting given the growth of schools offering online education. This trend continues to develop, especially after the COVID-19 pandemic hit the world, which caused all social activities to stop. For that reason, we are interested in discussing online learning strategies, enriching the learning experience. Our analytical process involves coding, evaluation, and in-depth interpretation to obtain valid and reliable findings. We conducted data searches with the help of electronic searches on the Google Scholar app, ERIC publications, and Academic Microsoft between 2015 and publication in 2021. As a result, online educational activities have won a place in the hearts of students and teachers, which occur automatically through website technology. More specifically, this is called "e-learning. " This is a promising distance learning that has become a trend for students and scientists and has become a way for people to get information about their needs.
Phenotypic and Molecular Characterization of Brazilian Capsicum Germplasm

Population growth and the high demand for food production has caused environmental degradation losses in biodiversity. The conservation of genetic resources is the most appropriate strategy for maintaining the variability of species of great importance, such as Capsicum. In this study, we describe the characterization of 69 pepper accessions of four Capsicum species from different regions of Brazil on the basis of qualitative and quantitative descriptors and ISSR markers. The 11 quantitative descriptors grouped the 69 populations into five clades. The fruit traits had the greater discrimination power. A strong correlation was detected between some pairs of quantitative descriptors: petiole and fruit length, fruit diameter and fresh fruit mass, leaf length and leaf width, canopy and plant height, stem diameter and plant height, stem diameter and canopy diameter. A negative correlation was also observed between plant height and pericarp thickness. Moreover, the molecular analysis grouped accessions into five clades. The morpho-agronomic and molecular characterization were efficient to estimate the genetic diversity between accessions, being important tools for the knowledge and use of accessions. This study is of great importance to preserve pepper germplasm and to provide data to facilitate the process of the selection in breeding programs.
Environmental Factors Effects on Winter Wheat Competition with Herbicide-Resistant or Susceptible Silky Bentgrass (Apera spica-venti L.) in Poland

Environmental factors, including weather and soil conditions, can affect the competitive effects of weeds on crops. This work aimed at a comparison of the competitive abilities of winter wheat toward bentgrass (Apera spica-venti (L.) P. Beauv) with single herbicide resistance, multiple herbicide resistance, or a susceptible biotype in different environmental conditions of Poland. A replacement series competition model was applied in field conditions in 2017–2018 and 2018–2019 across the country. A competitive ratio (CR) was calculated for the relative biomass of plants and grain number. A canonical variate analysis (CVA) was performed for biological parameters and a day-difference in emergence between winter wheat and bentgrass with the hydrothermal coefficient and soil texture in all of the sites in each season separately. Winter wheat emergence was correlated with the amount of precipitation after seeding, and was fastest for five days in humid conditions, and slowest up to 22 days, when the precipitation in October was low. The CVA proved that winter wheat’s competitive effects toward the susceptible or herbicide-resistant biotypes of bentgrass are site-specific. During the dry season, the bentgrass biotype with multiple herbicide resistance was more competitive toward winter wheat than the susceptible one. The wheat CR < 1 with regard to biomass and both biomass and the grain number was in 64% and 50% of all the combinations with the resistant biotype. In conclusion, weather affects the competitive effects of winter wheat toward herbicide-susceptible or resistant bentgrass.
Modeling of cutting parameters in turning of PEEK composite using artificial neural networks and adaptive-neural fuzzy inference systems

Polyetheretherketone (PEEK) and its composites are commonly used in the industry. Materials with PEEK are widely used in aeronautical, automotive, mechanical, medical, robotic and biomechanical applications due to superior properties, such as high-temperature work, better chemical resistance, lightweight, good absorbance of energy and high strength. To enhance the tribological and mechanical properties of unreinforced PEEK, short fibers are added to the matrix. In this study, Artificial Neural Networks (ANNs) and the Adaptive-Neural Fuzzy Inference System (ANFIS) are employed to predict the cutting forces during the machining operation of unreinforced and reinforced PEEK with30 v/v% carbon fiber and 30 v/v% glass fiber machining. The cutting speed, feed rate, material type, and cutting tools are defined as input parameters, and the cutting force is defined as the system output. The experimental results and test results that are predicted using the ANN and ANFIS models are compared in terms of the coefficient of determination (R2) and mean absolute percentage error. The test results reveal that the ANFIS and ANN models provide good prediction accuracy and are convenient for predicting the cutting forces in the turning operation of PEEK.
Comparative Analysis of Egg Biochemical Composition and Egg Productivity Rainbow Trout (Oncorhynchus mykiss Walbaum, 1792) in Different Stations in Turkey

In the study, two objectives were selected in determining the quality and efficiency of Oncorhynchus mykiss eggs obtained from different stations: (1) to determine the biochemical, amino and fatty acid composition and egg quality, (2) to study the effect of egg productivity on egg quality. The study was conducted in 5 different production areas which is produces the most rainbow trout eggs in Turkey. Broodstocks over 3 years old were randomly selected from the company. After the egg productivity analysis, biochemical analysis were conducted. The most abundant amino acid in all stations was glutamic acid, followed by leucine, lysine, in that order. Total amino acid and essential amino acid (EAA) values were between 30.40±0.93-44.47±0.43 and 15.69±0.25-23.88±0.07 g/100g, respectively. As a result of analysis of fatty acids, docosahexaenoic acid (DHA), oleic acid and linoleic acid values were higher than other fatty acids. In addition, polyunsaturated (PUFA) values were higher than saturated (SFA) and monounsaturated (MUFA) fatty acid values in the eggs obtained from all stations. Consequently, the amino and fatty acid values of rainbow trout eggs were determined to be sufficient for embryonic development of fish and this values showed rainbow trout eggs as potential source of food for human consumption.
Pathways of China's PM2.5 air quality 2015–2060 in the context of carbon neutrality

Abstract Clean air policies in China have substantially reduced particulate matter (PM2.5) air pollution in recent years, primarily by curbing end-of-pipe emissions. However, reaching the level of the World Health Organization (WHO) guidelines may instead depend upon the air quality co-benefits of ambitious climate action. Here, we assess pathways of Chinese PM2.5 air quality from 2015 to 2060 under a combination of scenarios that link global and Chinese climate mitigation pathways (i.e. global 2°C- and 1.5°C-pathways, National Determined Contributions (NDC) pledges and carbon neutrality goals) to local clean air policies. We find that China can achieve both its near-term climate goals (peak emissions) and PM2.5 air quality annual standard (35 μg/m3) by 2030 by fulfilling its NDC pledges and continuing air pollution control policies. However, the benefits of end-of-pipe control reductions are mostly exhausted by 2030, and reducing PM2.5 exposure of the majority of the Chinese population to below 10 μg/m3 by 2060 will likely require more ambitious climate mitigation efforts such as China's carbon neutrality goals and global 1.5°C-pathways. Our results thus highlight that China's carbon neutrality goals will play a critical role in reducing air pollution exposure to the level of the WHO guidelines and protecting public health.
Mining Sorghum Biodiversity—Potential of Dual-Purpose Hybrids for Bio-Economy

Sweet, grain, and dual-purpose sorghums differ in a number of important traits, including biomass production, total solutes in the stem juice, and sugar accumulation across the stem. Ten dual-purpose hybrids, two sweet genotypes, and two grain landraces of sorghums were characterized under temperate environmental conditions to determine their potential for bioethanol production. Five sorghum hybrids (Ganymed, Hannibal, Tarzan, Merlin, and Zerberus) performed better with respect to cane yield, juice yield, potential sugar, and ethanol yields compared to sweet and grain genotypes. While the sweet genotype KIT1 produced the highest sugar concentration in the stem, the lowest concentration was produced by the grain landrace Razinieh. The study showed that plant height, leaf number, leaf weight, cane yield, and juice yield were positively correlated with the sugar yield in fresh stalk. Sugar accumulation was higher in the central internodes of all genotypes. Clustering analysis showed that sweet genotypes are located more closely to dual-purpose hybrids than grain landraces. We discuss the results with respect to the potential of dual-purpose sorghum hybrids for bio-economy in Germany.
BiOI hierarchical nanoflowers as novel robust peroxidase mimetics for colorimetric detection of H2O2

In this paper, BiOI hierarchical nanoflowers (BiOI-F) were developed as a highly efficient biomimetic catalyst for the first time and used to detect H2O2. BiOI-F could be synthesized through a facile one-pot coprecipitation method, and some other BiOI samples with different morphologies were also prepared as controls. The crystal growth and morphology transition mechanism of BiOI samples was proposed, which were responsible for the distinct peroxidase-like activities. BiOI-F was demonstrated to exhibit the best intrinsic peroxidase-like activity compared to other BiOI samples due to its negative potential, large BET specific surface area, the exposed (001) facets, and the oxygen vacancies in the crystal lattice, which could efficiently catalyze the oxidation of 3,3,5,5-tetramethylbenzidine (TMB) in the presence of H2O2 to produce a blue oxide. In view of the excellent peroxidase mimetic catalytic activity of BiOI-F, a sensitive and convenient novel platform for colorimetric detection of H2O2 was successfully established, and the detection limit of H2O2 was as low as 0.05 μM. Moreover, the enhanced peroxidase-like activity of BiOI-F was proposed according to the crystal growth mechanism, surface property characterizations and active species trapping tests. In addition, the BiOI-F-based assay system displayed excellent selectivity, practicability, long-term stability, reproducibility, and reusability. This work not only develops a novel, simple and highly sensitive BiOI-F-based visual system for the detection of H2O2, but also provides some new insights into seeking for novel enzyme mimetics with enhanced catalytic activities, which have great prospects in practical applications for H2O2 detection and biomedical analysis.
EFFECT OF MIXED BIO-FERTILIZERS AND NITROGEN LEVELS ON GROWTH, YIELD ATTRIBUTES AND YIELD OF PEARLMILLET

A field experiment was conducted at Research farm of CCS Haryana Agricultural University, Hisar during kharif 2002. Nine treatments viz., control, seed inoculation with mixed bio-fertilizers, 50 RDN, 75% RDN, 100% RDN, 125% RDN, 50% RDN + mixed biofertilizers, 75% RDN + mixed bio-fertilizers and 100% RDN + mixed bio-fertilizers were tested in randomized block design with four replications.Application of 125% RD resulted in significantly higher grain and stover yield except 100% RDN, 75% RDN+mixed bio-fertilizer and 100% RDN+mixed bio-fertilizer. However, stover yield in 75% RDN+mixed bio-fertilizer significantly increased the grain and stover yield over control
A novel approach to investigate the deposition of (bio)chemical sediments: The sedimentation velocity of cyanobacteria–ferrihydrite aggregates

Sedimentation velocities of various chemical sediments are typically calculated using Stokes’s law. However, applying it to chemical sediments that form in situ in the water column is not ideal because the particle properties do not fulfill many of the assumptions underpinning the applicability of Stokes’ law. As a consequence, it has been difficult to predict the sedimentation rate of ancient chemical sediments, such as Precambrian banded iron formations (BIF), because their primary sediments likely comprised aggregates of ferric hydroxides, such as ferrihydrite [Fe(OH)3], and marine bacterial biomass, including cyanobacteria. In this work we use a new experimental method to address the mechanisms by which primary BIF sediment, formed by the oxidation of dissolved Fe(II) by O2 and simultaneously incubated with cyanobacterium Synechococcus sp. , were deposited to the Archean ocean. Specifically, we formed the aggregates in situ over a wide range of initial pH and Fe(II) concentrations, continuously recorded the entire settling processes of aggregates under each condition, and then processed the data in MATLAB according to different settling mechanisms. Our results demonstrate that ferrihydrite–cyanobacteria aggregates settled to the ocean floor either through the formation of uniformly descending concentration fronts or through convective plumes. The sedimentation mechanism depended on both initial Fe(II) concentration and the pH. Correspondingly, two algorithms were developed to characterize the sedimentation velocity. These algorithms tracked the alteration of light intensity from low to high as sediments descended from an initially homogeneous state through a water tank, and as well calculated the average light intensity over time, from which vertical time series were constructed allowing calculation of the sedimentation velocity. Our method not only provides an accurate estimation of the in situ sedimentation velocity of cell–mineral aggregates, but also provides new insights into the physical mechanisms by which the primary sediments composing BIF were deposited.
Risk of Depression among Early Onset Type 2 Diabetes Mellitus Patients

Methodology: Biochemically confirmed type 2 diabetes mellitus (T2DM) patients (n = 1,114) were recruited from the outpatient department of 2 tertiary care hospitals in Dhaka, Bangladesh. Face-to-face interview was conducted using a semi-structured questionnaire containing sociodemographic parameters and relevant information about depression and diabetes. Biochemical test results and treatment-related information were taken from patients’ records. The Hospital Anxiety and Depression Scale (HADS) was used to screen all patients for psychiatric manifestation. Those diagnosed by HADS were subsequently reassessed using structured clinical interview for DSM-5 Disorders – Clinician Version. T2DM diagnosed at age <40 years were considered as early onset T2DM. Association between age of onset category and depression was assessed using multivariable mixed-effect logistic regression adjusting for random variation of the area of residence and plausible confounders. Results: Around a third of the participants (32.5%) were diagnosed with T2DM before the age of 40 years. Early onset T2DM patients were found to have 57% increase in the risk of developing depression (OR 1.57; 95% CI 1.13–2.28; p = 0.011) in comparison to those with usual onset T2DM (≥40 years). Among other factors a positive family history for diabetes (OR 1.33; 95% CI 1.03–1.78; p = 0.038), poor glycemic control (OR 1.31; 95% CI 1.03–1.68; p = 0.028), presence of 1, or more diabetic complications (OR 1.37; 95% CI 1.03–1.78; p = 0.011) also showed increased risk of depression. Conclusion: Early onset T2DM patients are at greater risk of developing depression. The finding is likely to help in setting preventive strategies aiming to reduce the presence of concomitant depression symptoms among diabetes.
Social Representations of Digital Health Technology in different contexts: Why People Keep or Quit Using It?

Objectives: The use of digital health technologies (DHT) is increasingly ubiquitous in intervention studies aimed at reducing health risks or improving the management of chronic diseases such as cancer. However, although DHT clearly show promises for a variety of applications, one third of users quit using DHT less than six months after the purchase, which may limit their effectiveness. This study aims to identify social representations (SR) of DHT, and to highlight why individuals adopt or are reluctant to adopt DHT, as well as the reasons for their drop-out.Methods: Five focus groups were lead with 18 participants (Mage = 43.72 years, Women = 13) whose personal uses of DHT were heterogeneous and controlled. They completed three tasks designed to elicit a wide range of SR of DHT.Results: Results showed that individuals’ concerns about DHT were focused on four themes: 1) health versus well-being purposes, 2) price, 3) data protection and, 4) difficulties for the elderly. The main reason for adopting DHT was that their use met a need, an interest. Most participants made a fairly strong distinction between the DHT which promote health and those promoting wellbeing. Reasons for reluctance and drop-out were related to a lack of knowledge, information, transparency and mastery.Conclusions: These findings may help DHT designers to understand what kind of information are needed and relevant to users. This study also highlights users’ SR of DHT, as well as their expectations and fears which should be taken into account when implementing interventions.