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This study aims to report the effectiveness of family based treatment and pharmacotherapy on an adolescent boy with anorexia nervosa and intellectual disability.

The authors reported the case of a 16-year-old boy with AN and ID and referred him to a family therapist and psychiatrist in Tehran.

The patient experienced fatigue, weakness, dissatisfaction, suicidal thoughts and self-harm signs over the past one year. He also had behaviors such as abstinence from eating and voluntary vomiting. He was diagnosed with AN and MDD.

The results suggest that these interventions can be effective but should be used with special consideration. Combining family therapy and pharmacotherapy might offer a chance to alleviate anorexia symptoms in people with ID.

The purpose of this study is to simulate the climate change impacts on winter wheat production and evaluate the possibilities of using various varieties and shifting planting date as two climate change adaptation strategies in Kerman Province, Iran.

Two types of global circulation model and three scenarios for three periods were used. Daily climatic parameters were generated by LARS-WG (Long Ashton Research Station-Weather Generator). The CERES-wheat model was used to simulate future winter wheat growth, development and production.

The results showed that CO₂ had no effect on the phenology of winter wheat, and the negative impact of temperature on the grain yield was higher than the positive effect of CO₂ enrichment. The length of the reproductive growth period of the winter wheat was significantly shortened as affected by the negative impacts of rise in temperature. The simulated results indicated that the grain yield of common (medium maturing) variety of winter wheat will decline, ranging from −0.27 to −18.71 per cent according to future climate changes. Adaptation strategies showed that the early maturing variety had a higher and more stable grain yield under climate change conditions than medium and delayed maturing varieties. Earlier planting date (20 October) increased wheat grain yield under future climatic conditions than common (November 5) planting date. In reverse, later planting (November 20) would accelerate harmful effects of climate change on wheat grain yield.

The results highlighted the potential of early maturing variety and early planting date as the appropriate agronomical approaches for mitigating harmful impacts of climate change on winter wheat production in arid regions.

The purpose of this paper is to examine the transformational leadership and service quality in the businesses active in the field of e-commerce with the mediating role of trust and team performance.

Survey questionnaires were administered on a 384-subject sample of the employees of the teams working in electronic businesses in Iran. The structural equation modeling and partial least square techniques were used to analyze the data.

The results showed that transformational leadership has a positive impact on service quality and improves team performance. The effect of transformational leadership on the interpersonal trust and the trust on the team performance are also positive and significant. In summary, the improved performance also has a positive impact on service quality.

The main limitation is the assessment by questionnaire because the questionnaires measure the attitudes of individuals, not the facts as they are, and the attitudes of individuals usually involve personal judgments and prejudices in the research. Also, examining the research model in different cultural domains may provide different results because of being influenced by different cultures. Hence, the authors recommend that the findings should be examined in other communities with different cultures.

Evaluating the impact of the transformational leadership on service quality (SERVPERF scale) by a survey of team trust and performance in e-business is an innovation in the influence assessment of these variables. The present research is considered applicable to the management science as new findings in organizational behavior studies and recognition of transformational leaders, as well as the positive impacts of the characteristics of them on individuals and followers.

A large number of questions are posted on community question answering (CQA) websites every day. Providing a set of core questions will ease the question overload problem. These core questions should cover the main content of the original question set. There should be low redundancy within the core questions and a consistent distribution with the original question set. The paper aims to discuss these issues.

In the paper, a method named QueExt method for extracting core questions is proposed. First, questions are modeled using a biterm topic model. Then, these questions are clustered based on particle swarm optimization (PSO). With the clustering results, the number of core questions to be extracted from each cluster can be determined. Afterwards, the multi-objective PSO algorithm is proposed to extract the core questions. Both PSO algorithms are integrated with operators in genetic algorithms to avoid the local optimum.

Extensive experiments on real data collected from the famous CQA website Zhihu have been conducted and the experimental results demonstrate the superior performance over other benchmark methods.

The proposed method provides new insight into and enriches research on information overload in CQA. It performs better than other methods in extracting core short text documents, and thus provides a better way to extract core data. The PSO is a novel method used for selecting core questions. The research on the application of the PSO model is expanded. The study also contributes to research on PSO-based clustering. With the integration of K-means++, the key parameter number of clusters is optimized.

The novel core question extraction method in CQA is proposed, which provides a novel and efficient way to alleviate the question overload. The PSO model is extended and novelty used in selecting core questions. The PSO model is integrated with K-means++ method to optimize the number of clusters, which is just the key parameter in text clustering based on PSO. It provides a new way to cluster texts.

This study aimed to determine the relationship between quality of nurse work life (QNWL) and caring behaviors among emergency nurses.

In this cross-sectional study, a total of 168 emergency nurses were selected from eight hospitals in the metropolitan of Tabriz, East Azerbaijan Province, Iran. Data were collected in the first six months of 2018 by Brooks' QNWL questionnaire and Wolf's Caring Behaviors Inventory. Multiple linear regression analysis was used to analyze the data.

The overall QNWL scores were low to moderate. The highest scores were related to the work design and home/ life dimensions. Nurses' care behaviors were focused on the physical aspect of care, so that the highest scores for dimensions of caring behaviors belonged to the professional knowledge and skill followed by the attentiveness to the others' experience and the lowest belonged to the positive connectedness. The results of the multiple linear regression analysis showed that the model with the three variables of work context, male gender, and age group 51–60 years was significant.

This study used cross-sectional data for analysis, which limits the ability to establish causality. It is therefore suggested that future studies should use longitudinal designs to strengthen the acceptability of causality. Longitudinal designs will also help to assess changes of QNWL within units of observation over time. Moreover, this study was conducted in the educational treatment centers of Tabriz. Therefore, further studies should be carried out on nurses in the ED of East Azerbaijan and the northwestern provinces of Iran to allow generalization of the research results concerning macro-policymaking to improve the QNWL of these nurses and their caring behaviors.

For providing high quality care to patients, it is necessary to pay more attention to the communication and emotional aspects of patient care. Nurses' QWL, especially in the work context dimension, should be enhanced to improve the caring behaviors of nurses.

Also considering that the work world dimension had the lowest score in QNWL, policymakers' efforts should continue for changing public attitudes toward the nursing profession and balancing the nurses' income based on their performance in the healthcare system to maintain the social prestige of the profession among the community. The media, political and public support can play a pivotal role in improving the image of nursing in society, increasing motivation among Iranian nurses and promoting the QNWL, which will result in higher levels of quality of care as well as greater patient satisfaction.

The results of this study show a positive correlation between the work context and caring behaviors and suggest that the use of strategies for improving the features of work context may be able to improve nurses' caring behaviors. In order to provide holistic care for our patients, we need changes in the conditions and work context of nurses so that nurses can like the physical aspect of care, pay attention to its psychological aspect.