Effect of Blended Learning Classroom Environment on Student’s Satisfaction

This study investigates the impact of blended learning classroom environment on students’ satisfaction. The study was carried out in Farhangian University, College of Hazrate Fatemah, Khuzestan Iran, for undergraduate students who were studying in the field of primary education. To examine the level of students’ satisfaction, after undergoing blended learning, a questionnaire and interview form were prepared. The data obtained from students’ responses to the questionnaire and the interview form from different groups of blended learning environment, namely high technology dominant, balance technology and face to face, and face to face dominant. Descriptive statistic indices were used to describe the data. The results indicate that students’ satisfaction in the balance technology and face to face classroom environment was higher than that of the other two classroom environments. That is, students were more satisfied with balance technology and face to face than the other two classes. In addition, the students were preferred to take more courses in a balance technology and face to face classroom environment compared to other two classroom environments

The effect of Corona Anxiety on Academic Well-Being with Respect to the Mediating Role of Academic Hope

The spread of Corona disease and Corona anxiety has affected students' academic and educational lives by closing schools and rapidly changing teaching methods. The aim of this study was to investigate the relationship between Corona anxiety and students' academic well-being with respect to the mediating role of academic hope. The method of the present study was correlational method. The statistical population of the study was first and second high school students in Urmia. The research sample consisted of 400 people who were selected by the available sampling method. Research tools included method anxiety, academic well-being and academic hope, which were prepared online for students. SPSS and LISREL software were used for data analysis. The results showed that Corona anxiety affects students 'academic hope and academic well-being and academic hope has a mediating role between Corona anxiety and students' academic well-being. Based on the results, it is necessary for schools and the education system to take the necessary tools and counseling to improve coronary anxiety, academic well-being and students' academic hope after the end of Covid 19 disease and the reopening of schools

Multilevel analysis of achievement in mathematics of Malaysian and Singaporean students

This article explored the variation in mathematics achievement of Malaysian and Singaporean eighth-graders as a function of student- and school-level differences. The data obtained from 5314 students nested within 150 schools from Malaysia, and 6018 students nested within 164 schools from Singapore who participated in the Trends in International Mathematics and Science Study (TIMSS) in the 2003. Multilevel linear modeling was employed to analyze the data. The results indicated that 57.28% of the total variance in mathematics achievement in Malaysia accounted for school-level differences. Meanwhile, the results showed that classroom-level differences contributed to 74.6% of the total variance in achievement of Singaporean students. Only 5.9% of the variance in achievement in Singapore accounted for school-level differences. At the student level, mathematics self-concept was the most influential factor on achievement of students from both countries. At the school level, school climate as perceived by the school principals was the most influential factor on achievement of students from both countries

An empirical method to measure the relative efficiency of irrigation methods in agricultural industry

One of the most important issues affecting future world is managing the existing water resources. There is no doubt that global warming has created significant troubles on people's lives and it has caused shortage of water in the world. Therefore, we need to manage the water resources by allocating appropriate methods. In this paper, we use data envelopment analysis to measure the relative efficiency of fourteen different irrigation methods. The proposed model of this paper uses four inputs including cost, risk, maintenance and expertise and two outputs including flexibility and durability of irrigation methods. The preliminary results indicate that two surface irrigation methods, one sprinkler irrigation method and one subsurface irrigation technique are considered efficient. Other irrigation techniques are only as much as 50 to 94 percent efficient compared with these five irrigation technique

Green synthesis, characterization, and application of Fe3O4 nanoparticles for methylene blue removal: RSM optimization, kinetic, isothermal studies, and molecular simulation

Methylene Blue (MB) is a cationic dye causing various health problems such as asthma, heartbeat, eye and skin irritation, nausea, and distress during prolonged exposure. In this regard, the green magnetite nanoparticle was synthesized using the extract of Prosopis farcta. The synthesized Fe3O4nanoparticle was characterized by X-ray powder diffraction (XRD), Field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDX), transmission electron microscopy (TEM), Fourier transforms Infrared spectroscopy (FTIR), vibrating sample magnetometer (VSM), and Brunauer-Emmett-Teller (BET). The corresponding parameters, including the primary concentration of MB (5–65 mg/L), the dose of synthesized nanoparticle (0.025–0.925 g/L), solution pH (3–11), and contact time (20–60 min), were considered. Also, central composite design (CCD), as one of the response surface methodologies (RSM), was used for the related modelling and optimization. The particle size of the adsorbent was between 5 and 70 nm, and the nanoparticle has 206.75 m2/g of a specific surface, 6.1 nm of average pore size, and 0.3188 cm3/g of the total pore volume. The optimal conditions for MB removal by the nanoparticle were found to follow an initial MB concentration of 20 mg/L, 0.7 g/L of the nanoparticle dose, pH = 9, and a contact time of 50 min. The pseudo-second-order (PSO) and Freundlich models were the best kinetic and isothermal models for MB removal by the synthesized nanoparticle. Molecular modelling was used to optimize the MB molecular configuration and compute HOMO-LUMO energies, quantum-chemical descriptors, and molecular electrostatic potential to evaluate the nature reactivity of the MB molecule

Clinical and genetic screening in a large Iranian family with Marfan syndrome: A case study

Abstract Background and Aims Marfan syndrome (MFS) is an autosomal dominant genetic disorder caused by pathogenic variants of the fibrillin‐1‐encoding FBN1 gene that commonly affects the cardiovascular, skeletal, and ocular systems. This study aimed to evaluate the clinical features and genetic causes of the MFS phenotype in a large Iranian family. Methods Seventeen affected family members were examined clinically by cardiologists and ophthalmologists. The proband, a 48‐year‐old woman with obvious signs of MFS, her DNA sample subjected to whole‐exome sequencing (WES). The candidate variant was validated by bidirectional sequencing of proband and other available family members. In silico analysis and molecular modeling were conducted to determine the pathogenic effects of the candidate variants. Results The most frequent cardiac complications are mitral valve prolapse and regurgitation. Ophthalmic examination revealed iridodonesis and ectopic lentis. A heterozygous missense variant (c.2179T>C/p.C727R) in exon 19 of FBN1 gene was identified and found to cosegregate with affected family members. Its pathogenicity has been predicted using several in silico predictive algorithms. Molecular docking analysis indicated that the variant might affect the binding affinity between FBN1 and LTBP1 proteins by impairing disulfide bond formation. Conclusion Our report expands the spectrum of the Marfan phenotype by providing details of its clinical manifestations and disease‐associated molecular changes. It also highlights the value of WES in genetic diagnosis and contributes to genetic counseling in families with MFS