The study of relationship between religious orientations with emotional intelligence components Among Students of Shahid Beheshti University of Medical Sciences

Background and Objectives:Religious orientation is one of the factors influencing behavior and cognition.Considering the necessity of recognizing the factors affecting students' religious orientation, the present study has investigated the relationship between religious orientation and emotional intelligence components in students of Shahid Beheshti University of Medical Sciences.Materials and Methods :The design of this research is descriptive-correlational. The statistical population consisted of all medical students of Shahid Beheshti University of Medical Sciences. In this study, a sample size of 63 students were studying (girls = 32, boys = 31 ), who were selected by random sampling. In the present study, the confidentiality and all ethical principles are observed. Also, the authors of the article have not reported any conflicts of interest. The tool for collecting information was Alport Religious Orientation Questionnaire and Bar-An Emotional Intelligence Questionnaire. Data were analyzed using SPSS software and descriptive statistical methods (mean and standard deviation) and regression analysis.Result:The findings of this study indicate that external and internal religious orientation has a significant effect on the components of emotional intelligence at 5% level.The value of this coefficient in this research is 0.19, in fact, students' religious orientation has 19% ability to predict the components of emotional intelligence.Conclusion:  The results of this study showed that religious orientation can play an effective role in predicting students' emotional intelligence.Students with a high religious orientation are flexible, tolerant of stress and high happiness. They have a high responsibility in social situations

Comparison of Lactic Acid Bacteria and Bifidobacteria from Honey Stomachs and Honeycombs of Giant Honeybee (Apis Dorsata) in Kedah and Terengganu, Malaysia

The isolation and identification of lactic acid bacteria (LAB) in the honey stomachs and honeycombs of Giant honeybee (Apis dorsata) from different areas in Malaysia were performed to prospect for beneficial bacteria or probiotics. Honey stomach samples of honeybee and honeycomb filled with honey were collected from Apis dorsata colonies in different bee trees from the rainforests of Pedu Lake in Kedah state and the agricultural region of Marang in Terengganu, Malaysia. The isolates were cultured anaerobically in different media of MRS agar, MRS broth and TPY broth at 37°C. Three hundred and fourteen isolates were obtained and identified based on biochemical tests, as LAB. In addition, 20 uncultured samples were identified as Bifidobacterium by using the nested polymerase chain reaction (PCR). The 16S rRNA genes from extracted DNA of bacterial colonies were amplified with PCR and nested PCR using universal primers of 27F and 1492R for LAB, and for Bifidobacterium two pairs of genus specific primers (Lm26 paired with Lm3 and Bif164-F paired with Bif662-R) were utilized. All bacterial 16S rRNA genes were sequenced and entrusted in GenBank and were given specific accession numbers. Phylogenetic analysis of the 16S rRNA sequences showed that the novel LAB and Bifidobacterium isolates could be grouped into four different phylotypes. They were found to be composed of 37 Lactobacillus, 6 Enterococcus, 2 Bifidobacterium and 1 Weissella phylotypes. The results showed that among 334 isolates and sequences, Lactobacillus spp with 64.97% were found to represent the most common LAB in Apis dorsata honey stomachs and honeycombs followed by Enterococcus spp with 28.74%, Bifidobacterium with 5.99% and the rest 0.3% Weissilla. Overall, the predominant lactobacilli species found in the total samples constituting approximately 40.55% of Lactobacillus kunkeei. Lactobacillus kunkeei (YH-15) related sequences (88) were the predominant lactobacilli followed by 33.18% of other Lactobacillus sp with related sequences (72). In honey stomach samples, the prevalence of Lactobacillus spp. was 53.21%. Interestingly, the predominant Lactobacillus species found in all honey stomach samples was Lactobacillus plantarum. (30.12%) followed by Lactobacillus pentosus (27.71%), Lactobacillus kunkeei (22.89%), Lactobacillus sp (15.66%), Lactobacillus vermiform (2.41%) and Lactobacillus fermentum (1.21%). Samples from the honey-filled honeycomb showed a prevalence of Lactobacillus spp. at 75.28 %. The predominant Lactobacillus species from all honeycomb samples constituting of Lactobacillus kunkeei (51.49%), Lactobacillus sp (44.03%) and Lactobacillus alvei (4.48%). Enterococcus spp. was isolated from every honey stomach (40.38%) and honeycomb (18.54%) of Kedah and Terengganu samples. The predominant Enterococcus species from all honey stomach and honeycomb samples, constituting approximately 88.54% of total isolated Enterococcus spp., was Enterococcus sp and the rest was Enterococcus faecalis (11.46%). Whereas, Bifidobacteria and Weissilla account for about 5.99% and 0.3% respectively. In conclusion, the diversity of total bacterial contents of honey stomachs and honeycombs in highland were somewhat different from the lowland data. This discrepancy reflects the corresponding difference associated with the high diversity of flower, nectar and pollen in forest area of Kedah state versus a low diversity of flower, nectar and pollen in agriculture area of Terengganu state

To develop an integrated model for green supply chain

Supply chain management is a set of techniques used for effective and efficient integration of suppliers, manufacturers, warehouses and dealers in such a way that system costs to be minimized and goods service needs to be realized with the correct number in the right place and at the right time. Since the important role of three factors of localization, routing and assignment is not covered in the survival of a supply chain life, therefore, integration of these factors will result in an effective supply chain. This research aims to study the issue of supply chain network design including the localization of facilities, allocation flow among facilities and routing decisions. The issue is to determine the number, location and capacity levels of distribution centers, to allocate customers to distribution centers and distribution centers to suppliers and routing decisions such as determination of the products transport route from distributors to customers and type of transport vehicles so that the total cost of the system to be minimized and customer coverage to be maximized. In addition to reducing costs and increasing quality, improving the environmental performance of the supply chain and decreasing the costs of environmental degradation is also included in the proposed issue.This necessity which is known as a green supply chain is observed by choosing vehicles with lower emissions and reducing transport distances.On the other hand, this research role includes the impact of sharing information through raising and reducing waiting times for carriers. All of the above will be formulated by an integer linear programming model. Given that the mentioned issue is located in the group of problems with hard complexity, this article suggests using multi-objective meta-heuristic algorithms for optimization of the problem and compares the efficiency of the proposed algorithms with each other using several random sample problems.Keywords: Localization, routing, allocation, green supply chain, sharing informatio

Patterns of interaction in young EFL learners’ pair work: the relationship between pair dynamics and vocabulary acquisition

Adopting a social learning perspective towards the interface between the use of pair work and language learning, the present study investigated the dyadic interaction in an EFL course for young learners at preelementary school level. A number of 18 EFL learners were put into 9 pairs and received instructions on 24 target vocabulary items during 6 sessions. In each session, the participants completed a recognitions task and a production task. Their dialogues were recorded, transcribed, and coded as exhibiting one of the four patterns: collaborative, expert/novice, dominant/dominant, and dominant/passive based on Storch’s (2002) patterns of interaction coding scheme. The comparison between the patterns and the participants’ performance on a vocabulary test revealed that collaborative and expert/novice were associated with better learning outcomes. The findings are discussed along with Vygotsky’s sociocultural theory and pedagogical implications for trainers and instructors

Predicting Moral Distress Through the Dimensions of Psychological Empowerment in Nurses

AbstractIntroduction: Moral distress is an important challenge among critical care nurses. psychological empowerment can pave the ground for proper moral performance and prevention of moral distress among nurses. This study aimed to predicting moral distress through the dimensions of psychological empowerment in nurses.Methods: This descriptive cross-sectional and analytical study carried out in 2018. For this purpose, 190 nurses were selected by convenience sampling from the critical care units in Southern Khorasan Province, Iran. Data were collected using Corli's Moral Distress Questionnaire and Spreitzer's Psychological Empowerment Questionnaire. Data were analyzed in IBM SPSS ver. 16 using descriptive and inferential statistics.Results: Finding showed that moral distress intensity was (4.8±0.51) and negatively correlated whit psychological empowerment (P=0.03, r=-0.5). Moral distress frequency was (5.2± 0.56). The psychological empowerment was (4.1± 0.44). The results of the multiple regression indicated that 2 % variation of moral distress intensity explained by psychological empowerment (ADJ.R2:0.238). Among these dimensions, three dimensions meaning, competence and self-determination significantly predict the intensity of moral distress (R2=0.25, P< 0.05). Moral distress correlated with age, working experience, and type of the ward (P<0.05).Conclusions: Nurses with a greater psychological empowerment showed less intensified symptoms of distress where they were able to perform morally proper action

Molecular investigation of CTX-M gene in Extended Spectrum β Lactamases (ESBLs) producing Pseudomonas aeruginosa isolated from Iranian patients with burn wound infection

Background: Pseudomonas aeruginosa (P. aeruginosa) is one of the most important causes of infection in burns and intensive care units. Extended-spectrum β-lactamases (ESBLs) production in P. aeruginosa is a major factor in the antibiotic resistance and is thought of as a serious threat to the currently available antibiotic armory. The purpose of this study was to determine the prevalence of CTX-M gene in ESBL-producing P. aeruginosa isolates in burn wound samples.Materials and methods: In this cross-sectional survey, a total of 60 clinical isolates of P. aeruginosa were obtained from patients suffering from burn wound infection referred to major hospitals of Tehran, Iran. After verification by biochemical tests and antimicrobial susceptibility testing, CTX-M gene was identified using PCR method.Results: The results of the molecular analysis of CTX-M gene showed that the prevalence of isolates of P. aeruginosa harboring CTX-M gene was 20% (12/60).Conclusion: The results from this study showed high levels of antibiotic resistance and CTX-M gene among P. aeruginosa isolated samples of burn-wound infections which condition may result in the increased the emergence of multidrug-resistant strains and the failure of therapy This study suggests that detailed data on the CTX-M gene frequency can be useful to achieve the best therapy for infections caused by ESBLs producing P. aeruginosa

Growth Optimization of Lactobacillus plantarum T5jq301796.1, an Iranian Indigenous Probiotic in Lab Scale Fermenter

Background and Objective: Lactobacillus plantarum is one of the probiotics species used in functional food products. These bacteria or their purified bacteriocins are used as biological preservatives in the food industry. The first step in production of an array of probiotic products is optimizing production in fermentors. This study aimed to examine factors affecting the in vitro growth optimization of Lactobacillus plantarum T5JQ301796.1 in a lab scale fermentor.Materials and Methods: Following 24 hours of anaerobic culture of the lactobacillus at 37°C, the pre-culture was ready and was inoculated to a 5 liter fermentor at 37°C and stirred at 40 rpm. Then factors affecting lactobacillus growth including carbon and nitrogen sources and pH were studied. The results were interpreted using response surface methodology (RSM), and optimal conditions for the equipment were determined.Results and Conclusion: For optimal growth of Lactobacillus plantarum T5JQ301796.1 in lab scale fermentor, the optimal conditions were 25.96 gl-1 of glucose, 1.82% of yeast extract, pH of 7.26, and stirring at 40 rpm at optimum temperature between 37-40°C. In this condition, maximum viable cell in the batch fermentation was 1.25×1010 CFU ml-1. Application of central composite design for the growth optimization of this bacterium led to maximum viable cells equal to 1.25×1010 CFU ml-1. So the mentioned features can lead to optimum industrial scale production and usage of this probiotic strain in probiotic products.Conflict of interest: The authors declare that there is no conflict of interest