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The positive role of reflective teaching and well-being as means of fostering teaching quality has mainly remained at the level of speculation and there is little empirical evidence to illustrate their impact on enhancing professional development. To fill this existing gap, this study examines the contribution of reflection and psychological well-being as predictors of professional development. Adopting a mixed-methods approach, 350 English language teachers were selected randomly and participated in a survey. Following that, six teachers through purposeful sampling participated in a focus group interview to investigate the relationship among the aforementioned variables. The correlational analysis confirmed the positive relationship among these three constructs and a structural equation modeling indicated that both reflection and well-being significantly predicted professional development; however, well-being was a stronger predictor compared to reflection. The qualitative analysis of data revealed four main themes contributing to professional development among teachers. The pedagogical implications are also elaborated and discussed.

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Asiatic citrus canker is a devastating disease resulting in drastic economic losses in citriculture worldwide. Amongst three different types of the disease, i.e. A, A* and A^w, the A* type is genetically less known. In order to comprehend the behavior of the Asiatic citrus canker A*-type strain (Xanthomonas citri subsp. citri) in the vicinity of the host cells, a targeted semi-quantitative transcript analysis approach via RT-PCR was carried out. A subset of sixteen genes, as representative of different steps involved in phytopathogencity, was analyzed on the culture medium (as uninduced) and compared with the subset isolated from the infected Mexican lime (Citrus auarntifolia L.) plants (as induced). The results showed that certain genes were up-regulated in induced condition, suggesting a putative role in bacteria-host interaction. Furthermore, the transcripts in induced condition could be classified into constitutive, early- and late-responsive genes, demonstrating their functional relevance during the host-pathogen interaction.    

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Beauveria spp. as entomopathogenic fungi have extremely diverse insect host ranges.Here, a comparative transcript analysis of a Bassiasin I (BSNI), a Dipeptidyl peptidase (DPP), a Cytochrom P450 monooxygenase (CYP52), a Mitogen activated protein kinase (MAPK), and a Neuronal calcium sensor 1 (NCS) in two isolates of Beauveria bassiana., with low and high virulence, were carried out. For this, induction media, containing isolated cuticles from four insects, and a check medium lacking any cuticular extract were prepared and isolates were allowed to grow on them. Interestingly, up-regulation of BSNI and DPP in induction media was noted in comparison to the check, following normalization with γ-ACTIN. CYP52 was up-regulated in synthetic medium in comparison to cuticular extract. MAPK expression was greater in most virulent isolate once compared with the low virulent isolate. The expression of MAPK was greater in the presence of Caliptamus italicus cuticles and synthetic medium as opposed to others. NCS expression remained on changed in all media tested and can be suggested as a reference gene in transcriptomics of Beauveria spp. genes in future.  

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Cercospora leaf spot caused by Cercospora beticola has a great negative impact on yield and quality of sugar beet. In the present study, pathogenic and genotypic variation of 24 C. beticola isolates collected from different regions of Iran were studied using RFLP of the Internal Transcribed Spacer (ITS-RFLP), and Random Amplified Polymorphic DNA (RAPD-PCR). Pathogenic variability and genotype × isolate interaction were evaluated in greenhouse experiments on five sugar beet cultivars (FD0018, HM1836, Puma, Eudora and Monatuna). All of the 24 isolates tested were found to be pathogenic on the cultivars with significant variation in disease severity. Results of RAPD analysis showed wide DNA polymorphism among the Iranian C. beticola isolates. Restriction pattern of the internal transcribed spacer of rDNA (ITS1-5.8-ITS4) was studied using three restriction endonucleases: EcoR1, Taq1, and Busr1. The length of undigested DNA fragment of all isolates was estimated to be 500bp without rDNA polymorphism after digestion with EcoR1 (280, 270 bp), Taq1 (330 bp) and Busr1 (240, 220, 90 bp). RAPD and ITS-RFLP markers showed the highest level of genetic diversity which confirms the variation in C. beticola detection.

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The Xanthomonas citri pv. citri (Xcc) is causal agent of bacterial citrus canker which is major disease of citrus throughout the world. The pthA bacterial effector protein is presented within the infected plants and indispensable of canker. The scFv antibodies are valuable tools for diagnosis and suppression of pathogens within plants. The present article describes developing and characterization of specific recombinant monoclonal scFv antibodies against pthA effector protein. For this aim, the gene encoding pthA protein was heterologously expressed in Escherichia coli and used for screening of Tomlinson phage display antibody library to pinpoint specific single chain variable fragment (scFv). In each round of panning, the affinity of phage towards pthA was checked by enzyme linked immunosorbent assay (ELISA). The data was indicative of about 50% of the monoclonal phages to be reactive strongly against pthA protein. Among the positive clones, 5 samples (A12, B8, C1, H8 and G8) were capable of detecting Xcc-infected plant samples and recombinant pthA protein. Restriction fragment length polymorphism showed similar banding pattern for all 5 scFvs as renamed to pthA-scFG8. HB2151 E. coli cells were infected by the phage bearing pthA-scFG8, and the expression of the peptide was induced by IPTG to produce a 30 kDa recombinant molecule. I-TASSER was used for homology modeling of both scFv and pthA and docking was carried out by Hex program. The latter demonstrated binding energy of −784 kcal/mol in scFv-pthA. 

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Here we report the presence of Cybocephalus nipponicus Endrödy-Younga, 1971 from Iran, which has been collected on mulberry in Gilan province, as well as on bitter orange and Japanese spindle in Mazandaran province, northern Iran. The specimens were collected while feeding on scale insects, Pseudaulacaspis pentagona (Targioni Tozzetti, 1886), Unaspis euonymi (Comstock, 1881) and Lepidosaphes gloveri (Packard, 1869) (Hemiptera: Diaspididae). Photos of habitus and genitalia with some taxonomic comments are presented.

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Abstract This paper presents a multiobjective power control algorithm that updates the transmitted power based on local information. The proposed algorithm is expanded by using multiobjective optimization schemes. The objectives to be optimized in this paper are determined so as to reduce the SINR fluctuations as well as maintaining the SINR to an acceptable level with minimizing an average transmitted power. The convergence properties of the proposed algorithm are studied theoretically and with numerical simulations. The results indicate that the algorithm converges more rapidly and has lower average transmitted power than other existing algorithms. The current study also suggests a practical version of the proposed algorithm and compares it to the existing totally distributed bang-bang power control (B-BPC) or fixed step power control (FSPC) and multiobjective totally distributed power control (MOTDPC) algorithms. Numerical results show that the proposed algorithm is potentially much more efficient in terms of convergence speed and average consumption power than the other two algorithms.  

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Objective: Tissue engineering is an (interdisciplinary field that applies polymeric scaffolds to control tissue formation in three-dinemtion (3D). The scaffold provides the microenvironment (synthetic temporary extracellular matrix) for regenerative cells, supporting cell attachment, proliferation, differentiation, and neo tissue genesis due to their suitable chemical, physical and biological structures. In this study, chitosan/poly (vinyl alcohol) (CS/PVA) was exploited as scaffold for nerve regeneration. Materials and Methods: Electrospinning was used to fabricate CS/PVA nanocomposites for U373 cells seeding and proliferation. Electrospinning is a versatile and simple method to fabricate non-woven thin layer fibers from polymeric solutions. Consequently, the biocompatibility of CS/PVA nanocomposite was evaluated using biological assays and cell attachment study. Results: Results indicated that CS/PVA nanocomposites with 15/85 proportion shown an almost homogenous network of the electrospun fibers and confirmed that they can be knitted in meshes and improve U373 cells proliferation and cell attachment. Conclusion: The nano-sized CS/PVA scaffolds are nontoxic and biocompatible which can promote proliferation of U373 cells and their appropriate adhesion to nanocomposite for improved peripheral nerve regeneration.

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This paper considers control of a laboratory Quadruple Tank System (QTS) in its non-minimum phase mode. This system is a well-known laboratory process suitable to illustrate the concepts of multivariable control methods. The objective of this paper was to design a controller based on combination of the sliding-mode and the state-feedback control methods using fuzzy logic. The proposed method takes advantage of the fast transient response of the sliding-mode controller and the zero steady-state error of the state-feedback controller. In other words, the fuzzy system uses the SMC when the QTS is in the transient mode and utilizes the SFC when it is near the steady-state mode. Hence, the advantages of both controllers have been used simultaneously. The switching between these two controllers is continuous and smooth based on a few simple fuzzy rules. Stability analysis of the proposed method is presented based on the Lyapunov stability direct method. Experimental results confirmed effectiveness of the proposed method as compared with the stand-alone controllers, especially when there are uncertainties in the system parameters.

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Objective: Common variable immunodeficiency (CVID) is one of the most frequent cases of primary immunodeficiency. It is likely that this heterogeneous disease is caused by several distinct genetic disorders. The activation-induced cytidine deaminase (AID) enzyme is involved in class switching, somatic hypermutation (SHM) and processes associated with gene conversion in the germinal center. In order to clarify the possible role of AID in the pathogenesis of CVID, we have studied the AID gene expression in CVID patients. Methods: Peripheral blood mononuclear cells (PBMC) from 21 patients and healthy controls were isolated. The isolated cells were stimulated by CD40L and IL-4 to induce AID gene expression. After five days, total RNA from the stimulated cells was extracted and AID gene expression was investigated by RT-PCR. Results: RT-PCR results showed that after stimulation by CD-40L and IL-4, the AID gene was expressed in all of the samples. The control samples were also positive for AID gene mRNA expression. Conclusion: In this investigation we studied the expression of AID gene in CVID patients' B lymphocytes for the first time. Regards to our results which showed that all patients normally expressed the AID gene mRNA and considering that one of the main problems in a number of CVID patients is disorders in phenomena related to the germinal center and complete differentiation of B lymphocytes, it can be concluded that possible defects in other molecules involved in class switching is responsible for this disease. Understanding the various genetic defects responsible for this heterogeneous disease could lead to its division into more homogenous subtypes with distinct therapeutic strategies, so further investigations is recommended.

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In statistics, Entropy is a measure of disorder of time series. Entropy is used in physiologic for signal analysis. In physiologic science, Entropy is used for performance analysis of body organs such as heart and brain. Epileptic patients have been diagnosed by this technique. In this paper for the first time, Entropy is used to determine the health condition of mechanical systems. A special kind of Entropy, namely Permutation Entropy is used for this purpose.To perform the experiment an apparatus consisting of a motor coupled with a shaft has been designed and manufactured. Vibration signals from supporting bearing of this system in different shaft states namely healthy shaft, and shafts with 3, 5 and 7 mm crack were gathered with a vibration data analyzer. The vibration were taken from sensors mounted on bearing supports of the shaft. Shaft was subjected to a constant bending moment. The vibration signals were preprocessed by permutation Entropy method. Nine different features were extracted from the Entropy signals which are fed to an Adaptive Neuro Fuzzy Inference System (ANFIS). The designed ANFIS was capable of classifying different shaft states with an overall %96 percision.

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In the current study a combined heat and power (CHP) system based on diesel engines is studied. A CHP system is investigated parametrically according to first and second laws of thermodynamics. In this investigation instead of modeling the air standard cycle, the fuel air standard cycle and fuel combustion are simulated, which leads to more accurate results. Since a standard cycle has many differences with an actual cycle, the exhaust gas from combustion chamber of a diesel engine is also used to simulate the CHP system, and the heat exchanger of the CHP is investigated from exergetic and economic viewpoints. It was seen that applying the pre-described system, it is possible to warm up 0.17Kg/s water from 25°C to 68.64°C. This enhances the overall efficiency of the system about 20%, raising it up to 80%. Exergy destruction in heat exchanger is almost high which is due to heat transfer process and high temperature difference in the heat exchanger.

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Gamma-aminobutyric acid (GABA) is a non-protein amino acid existing in bacteria, plants, and vertebrates. GABA is especially well-known because of its physiological role in the neurotransmission, induction of hypotension, diuresis, and tranquility. GABA is biologically synthesized by GABA-producing lactic acid bacteria (GLAB) which are widely used as starters in the fermented foods. In this study, GABA-producing strain were chosen to be microencapsulated by soy protein isolate (SPI)-alginate using emulsion method. Encapsulation efficiency and entrapment of GLAB into soy protein-alginate microcapsules (SAE) was confirmed by scanning electron microscope. The GABA-producing ability and survivability of the microencapsulated GLABs were investigated in the human gastro-intestinal simulant. For screening of GLAB strains, the isolates from Tarkhineh and fermented carrot were separately cultivated in MRS broth supplemented with 1% (w/v) monosodium glutamate (MSG). The GABA production efficiency was studied by thin layer chromatography (TLC) and High performance liquid chromatography (HPLC). According to the recorded chromatograms, Lactobacillus brevis PML1 isolated from Tarkhineh and Lactobacillus brevis G42 from fermented carrot showed GABA producing ability of 304 mg/L and 2511 mg/L, after 30 h at 30 °C, respectively. The results indicated that survival and GABA production improved upon microencapsulating the bacteria due to the good cell protection provided by soy protein isolate-alginate coating. In long with previous reports, this study proves the potential of microencapsulation toward increased efficiency of GABA production in functional foods.
 

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The six-dimensional strategic thinking, that is king-key of constantly increasing victory in the ‎competition, how is influenced by biographical characteristics (education, age, years of service ‎and number of family members)? The purpose of this research is to explain the answer. This ‎study is descriptive-explanatory based on objective, survey and applied, method and result. ‎The target community of the survey is 384 municipal employees of Qazvin city. Data ‎collection tools included researcher-made questionnaire and its reliability and validity has ‎proven. Data has been analyzed through SPSS software, using variance and Student t test. The ‎geometry of people thinking has been commpared based on Spider Web Model that measures ‎the balance between dimentions of thinking, was conducted. Results showed that there is ‎significant relationship between biographical characteristics and Strategic thinking Model of ‎people. With changing any of above features, a significant change occurs in the model of ‎strategic thinking. Therefore, organizations can be described as a set of thinking models that ‎are constantly changing. The managers and leaders of organizations recommended that the‏ ‏quantity‏ ‏and‏ ‏quality‏ ‏of the process‏ ‏through‏ ‏regulatory‏ ‏mechanisms‏, ‏and‏ ‏conduct‏ ‏regular‏ ‏monitoring‏, ‏to realize their‏ ‏strategic‏ ‏goals of‏ ‏their organizations‏ ‏provide‏.‏

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Objective: Regardless of the legal aspects of the gender imbalance problem, community concerns is added to the importance of the issue, gender discrimination, giving the girl the boy vice versa. According to the ethical aspect of research, it is necessary to recognize the ethical dimensions of the jurisprudence and legal attempts to answer the fundamental question that has permitted fetal sex selection Method: We undertook this research by a library study, along with collection of jurists’ opinions, and written law from several countries. Results: Gender selection has pros and cons. Some agrees only in cases of necessity, such as the presence of a medical disorder in one gender. Conclusion: Gender selection is not forbidden by non-Islamic roles or the Quran. People may do it if they avoid corruption.

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In this article, a novel control of wheeled mobile robot based on machine vision is considered. One of the common methods for controlling such systems is the use of Model Predictive Control (MPC) algorithms. In these systems, the response speed of the control algorithm and the optimality of these are two basic factors for achieving the optimal performance. Also, the impossibility of achieving precise values of the robot parameters and their variation during the operation of the robot is an important challenge in the implementation of the controller, therefore, this paper focuses on real-time and robust MPC, so that it can ensure the system against uncertainties and environmental disturbances in addition to the optimal and real-time response. Hence, the optimization based on projection recurrent neural network (PRNN) has been used as an optimizer to reduce the calculation time cost. The combination of PRNN optimization with MPC leads to new formulation and constraints that are considered to be the article innovations. Finally, in order to verify the validity of the proposed algorithm, the robot passes through the corridor with the presence of obstacles, which is simulated in the V-REP software. The results show that the optimum control input speed has been increased in comparison with similar methods, and the optimal path selection by the fuzzy system in the presence of obstacles has been well suited.
 

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Corn starch derivatives, including glucose syrups, are nowadays widely used in food industry. Glucose syrup is used in food industry, not only due to its sweetening power and nutritional value, but also for its functional properties (moisture stabilization, softening ability, improving texture and preventing sucrose crystallization). Floury (soft) corn is usually used to produce glucose syrup, but the most imported corn in Iran is flint or hard corn which is all the year round available and consequently, using both corn flour types would be inevitable. Therefore, the purpose of this study was to investigate the effect of using flint (hard) and floury (soft) corn flour to produce glucose syrup. Four treatments including hard flour + soft flour in four ratios of 30% + 70%, 50% + 50%, 70% + 30% and 100% soft flour as control were prepared and the physicochemical and organoleptic properties of the produced syrups were evaluated. According to the obtained results, using flint corn flour affected physicochemical and organoleptic properties of the samples. Increasing the ratio of flint corn flour had significantly decreased DE (Dextrose Equivalent), soluble solids and pH of glucose syrups. Also induced the increasing of color parameters and sulfated ash values of the produced syrups. However, cost estimates indicated a reduction in the cost of raw materials and consequently general reduction in production costs by replacing hard corn flour. It can be concluded from the results that hard flour can be used on all surfaces, but the best treatment was 50% replacement level or a bit more, in the production which had a good effect on the properties of glucose syrup and showed more similarity with the control sample. All of these, along with being cost effective, appeared this treatment to have the potential of supposing as a sugar substitute in food industry.

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Citrus canker has worldwide distribution and is still a devastating disease caused by the bacteria Xanthomonas citri subsp. citri (Xcc). With the aim of evaluating C. aurantifolia response mechanism, plant leaves non-inoculated and inoculated with the bacteria were collected in 1, 4, and 7 days post-inoculation. Consequently, the chlorophyll pigment content and fluorescence were determined, and proteomics study was conducted. Results indicated that pathogen infection, despite the negative effect on chlorophyll pigment content, improved the physiological condition. The maximum efficiency of PSII photochemistry and PSII quantum Yield (YPSII) as well as photochemical quenching increase were observed in infected plants compared to the control, whilst non-photochemical quantum decreased during infection. Judging by the results, the proteomic analysis revealed that these responses were mirrored by rapid changes in the host proteome that included the up-regulation of carbohydrate metabolism proteins and down-regulation of the ATP generating proteins during pathogen infection. The results indicated that the pathogen manipulates the host homeostasis by its effector proteins to exploit in its favor.