مجتبی سلیمانی

The threat of antibiotic drugs to humans and the environment has been noticed more than ever. Ciprofloxacin (Cip), as a strong quinolone antibiotic, is widely used in various treatments. This drug is among the fluoroquinolone drugs detected in surface water more often, which will bring health risks to animals and humans. In this study, a bimetallic metal-organic framework fluorescence nanosensor with d-f orbitals of intermediate metal and lanthanide with the molecular formula {[EuZn(pzdc)2(H2O)3]·H2O}n (MOF-I) (H2pzdc = 2,3-pyrazine dicarboxylic acid) was synthesized using the biocompatible method of ultrasonic waves to identify Cip antibiotic. Structure and characteristics of MOF-I nanosensor by powder X-ray diffraction (PXRD), Fourier transform infrared (FT-IR), thermal analysis (TGA), photoluminescence (PL) spectra, ultraviolet-visible (UV) spectrophotometry -Vis) and scanning electron microscope (SEM). According to the red emission of MOF-I caused by 4f-5d transitions of central metal Eu3+ corresponding to energy levels 5D0→7FJ (J=0→4), it was investigated to identify Cip. The experimental results show that the red fluorescence emission of the MOF-I nanosensor is turned off in the presence of the Cip molecule and the gradual increase in its concentration, using the internal filter effect (IFE) mechanism. The MOF-I nanosensor is associated with fast, stable, selectable response and high sensitivity in determining Cip. Considering the good linear correlation of the fluorescence response of MOF-I nanosensor to Cip concentration in the range of 1 to 40 μM and the lowest LOD equal to 0.32 μM, it indicates the reliability and applicability of the synthetic nanosensor in the detection of Cip antibiotic. .

The integration of artificial intelligence (AI) into educational leadership has emerged as a transformative approach to enhance educational management practices. This review article examines the concepts, challenges and opportunities of integrating artificial intelligence in the framework of Iran's educational system. First, with an overview of artificial intelligence in educational leadership, the importance of artificial intelligence for educational management is discussed, and then the statement of the problem and the purpose of the study are examined. The literature review addresses historical perspectives, current trends, challenges, and opportunities associated with integrating artificial intelligence into educational leadership and provides insights from empirical findings and case studies. Methods for effective integration of artificial intelligence, including research design, data collection methods, sample population, and data analysis techniques, are outlined, focusing on Iran's educational landscape. Strategies for successfully integrating AI into educational leadership are discussed, including professional development, ethical considerations, infrastructure, collaboration, and ongoing evaluation. Finally, recommendations for future research, practical implications for educational leaders, and insights for navigating the complexities of AI integration are provided. This review provides valuable insights and guidance for educational leaders seeking to harness the potential of artificial intelligence to drive innovation, improve outcomes, and promote educational excellence in Iran.

Recently, a method for multi-exposure images fusion based on structural decomposition of images into three parts including signal strength, signal structure and signal mean has been introduced. In this paper, we seek to use this decomposition, for images fusion in other fields, including multimodal medical, multi-focus, and infrared and visible images. To increase the fusion quality, besides the introduction of the proposed weighting factor in the structural decomposition, contourlet transformation and the pyramidal structure have also been used. First, each of the K input images are represented into low frequency and high frequency subbands, by using contourlet transform. Then, all the corresponding subbands (resulting from the same scales and directions) are fused with each other, separately and in an iterative process. In this iterative process, first, a separate pyramid structure (including approximation and detail layers) is created for each of the corresponding K subbands. These layers are obtained by the down-sampling of subbands and structural separation based on the proposed new weighting factor. Then, the fusion is performed in the reverse direction of the pyramidal structure and the fused image of the K corresponding subband is obtained. By repeating this process, the fused image will be obtained for all the corresponding subbands. At the end, the final fused image is obtained by the inverse contourlet transformation on the fused images of the subbands. Several visual and quantitative comparisons, with 7 common methods in this field, have been made. In the visual aspect, the proposed method shows the highest quality.

This study aimed to predict of academic engagement based on epistemological beliefs and academic self-efficacy in male students of secondary schools in Gheydar city. This study was descriptive and correlational type that statistical population included all male students in secondary Schools in Gheydar city that 250 students were selected by cluster random sampling. To collecting of data were used Epistemological Beliefs Questionnaire (Schommer, 1998), Academic Self-efficacy Questionnaire (Jinks & Morgan, 1999), and Academic Engagement Questionnaire (Pintrich & De Groot, 1991). To analyzing of data, were used from Pearson correlation and multivariate regression by SPSS-26. The results of Pearson correlation showed that epistemological beliefs and academic self-efficacy have significant relationship with academic engagement (p<0/05). The results of multivariate regression showed that epistemological beliefs were able to predict of academic engagement. Also, academic self-efficacy was able to predict of academic engagement in students of secondary schools in Gheydar city. The results indicate that the students that have higher academic self-efficacy and epistemological beliefs are more in academic engagement and probably they are more successful in academic performance.

The novel conductive nanocomposite and composite from polyaniline (PANI) were prepared. The composites were synthesized by in situ oxidative chemical polymerization of aniline on silica- and nanosilica-supported sulfuric acid. The reaction was carried out in a mortar and ammonium persulfate was used as oxidant under solvent-free condition at room temperature. Structure, size and morphology of the synthesized nanocomposite and composite were determined by Fourier transform infrared (FTIR) spectroscopy, ultraviolet-visible (UV-Vis) spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM) and atomic force microscopy (AFM). Conductivity was measured by four-probe technique and revealed that the samples not only had the conductivity in the range of conductive polymers (~ 0.4 S/cm) but also they showed high conductivity as composites and blends of polyaniline reported by others. Synthesis of composites (nanocomposites) and formation of polarons were confirmed by FTIR and UV-Vis. SEM images showed that silica particles were thoroughly coated by PANI and all were amorphous. According to the TEM and AFM images, particle size in composite and nanocomposite was in the range of 1-5 μm and 35-49 nm, respectively. Furthermore, the surface morphology, shape and dimensions of particles obtained by AFM strongly supported the SEM and TEM observations related to polymer deposition on the silica particles. The key benefits of the approach used in this research are the preparation of novel conductive composite and nanocomposites with the polaron structure under green chemistry condition of dopant solid acids including silica- and nanosilica-supported sulfuric acid.

This study examined the relationship between the privatization components and the development of recreational sport were of the experts view. The research method was correlation method. The instrument was a questionnaire which was prepared by the researchers and some qualified sport management expert confirmed its validity and it''s reliability was assessed in a pilot study which it''s result reported a suitable reliability for the questionnaire (α= 0. 89). The statistical society of this research was the sport management experts who worked as academic staff in Tehran Universities. The sample was equal to the society and no sampling method was used. Statistical method used In this study to test the hypothesis was Pearson correlation and multiple regression method. The research results showed that there was significant correlation between the privatization components and development of the recreational sport. Also، results showed that there was significant correlation between privatization components and public participation، structural reformation، optimization and efficiency. no significant correlation was obtained between privatization components and the quality of service and improvement of the employment.