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To explore the impact of information seeking behavior of theses indexers to meet their information needs.

35 indexers at the National Library and Archives of Iran (NLAI) and the Iranian Research Institute for Information Science and Technology (IRANDOC) composed the statistical population. A Likert scaled questionnaire was used for data collection. SPSS software was used for data analysis.

Information seeking behavior of indexers meets their information needs in 7 components, not for "using sample documents" with a (mean lower than average: 2.66). The total mean of the 8 components studied was 3.63 (above the average). The research hypothesis is confirmed as the overall mean exceeds 3 on Likert scale.

Respondents have sufficient expertise and experience. Their information-seeking behavior fulfills a high level of information needs at various stages of indexing.

Wargaming is one of the methods of training for military commanders in field of decision taking and decision making. Game theory is used as one of the techniques of wargaming in modeling problems with conflict situations. The aim of this article is to introduce readers about games of Colonel Blotto and Colonel Richard. In these games, the two blue and red commanders are competing in a single battle position on several fronts. Proper allocation of forces according to the rules of the game by the players will lead to victory in the game. After introducing the introductory version of Colonel Blato's game, a special type of game, Colonel Richard's, is discussed and a solution is presented.

This study presents a modified transient current limiter (MTCL) for mitigation the inrush current of transformers. The MTCL is based on conventional transient current limiter (TCL), which, its configuration is modified to overcome the TCL drawbacks of operation. The proposed MTCL offers lower power losses and voltage/current THD during normal operation mode. It needs only one limiting reactor instead of two limiting reactors, which results in cost saving. The theoretical analysis of the MTCL for suppressing the inrush current has been presented and the performance was tested by PSCAD/EMTDC simulation anda experimental prototype. Both simulation and experimental results showed that the MTCL is effective for suppressing the transformer inrush current. Also, the capability of the MTCL for suppressing the transformer inrush current was compared with the conventional TCL.

Parkinson's disease is one of the most common types of neurodegenerative diseases characterized by motor disorders such as slow motion, lack of movement, muscle stiffness, resting vibrations, and facial masks. The main cause of the disease is the destruction of dopaminergic neurons in the compact part of the substantia nigra in the middle cerebrum, which is associated with a decrease in dopamine concentration at the terminals of corpus striatum. This study was conducted to investigate the effect of coenzyme Q10 on the 6-hydroxydopamine-induced animal model (PD). To create a mock-up model of Parkinson's disease, 6-HDOP poison five μg/kg of mice body weight was injected into the Substantia nigra nucleus in adult NMRI mice. The accuracy of the Parkinson's model in mice was confirmed using catalepsy and apomorphine-induced rotation tests. Immediately after surgery, the Parkinsonian mice were treated with water (solvent Q10) with doses of 25, 50, and 100 Coenzyme Q10 for two weeks and then were subjected to behavioural tests and the neurons of the substantia nigra nucleus was counted. The results indicate that treatment with Q10 significantly reduced the immobility time and Catalepsy, increased motor activity and decreased apomorphine rotation, indicating the protective effects of Coenzyme Q10 against Parkinson's Disease Damage.

This study aims to investigate the impacts of individual and family psychoeducation on bipolar 1 patients to balance the Lithium and Bilirubin biomarkers while in psychiatric routin treatment. After investigating inclusion and exclusion criteria, a sample of 66 bipolar disorder I patients were purposfuly selected. Subjects were divided into three groups randomly: individual- psychoeducation, family- psychoeducation and control group. The first two  experimental groups received individual and family psychoeducation, while the control group had simple visits by a counselor. Lithium and Bilirubin serume levels  were measured using the Pars Azmoon laboratory kits in three phases of pretest, posttest and follow-up. Data were extracted and analyzed by a Multivariate Analysis of Covariance. Results showed a significant difference for the Lithium serum level of research groups. Family psychoeducation group at posttest showed a significant higher average than control group. The family psychoeducation group at 2 months follow up was higher in the serum Lithium level than control group as well. Family psychoeducation  could balance the lithium serum levels, and control the symptoms of bipolar disorder 1 in short and long term. The  adjunct individual and family psychoeducation are recommended to this patients beside their routin psychiatric treatments.

This research examined efficacy of mindfulness-based stress reduction group training on aggression and risky behavior in orphan male adolescents. This semi-experimental study was conducted with a pre-test and post-test design with control group. Two centers were randomly selected among the orphan care centers for adolescent boys in Mashhad. Buss-Perry Aggression Questionnaire and Adolescent Risk-taking Questionnaire were collected from the members of these two centers. Those with a higher score on aggression and risk-taking behavior were studied. 16 person were selected as the experimental and control groups and randomly assigned to two groups. The experimental group received mindfulness-based stress reduction for eight 90-minute sessions and the control group was placed on the waiting list. Both groups received post-test and a Multivariate Analysis of Covariance applied on the collected dataset. Results of a MANCOVA analysis indicated that a group training mindfulness-based stress reduction significantly reduced average scores of adolescent’s aggression and risky behaviors. This study showed that mindfulness-based stress reduction group training as an effective treatment could be useful for orphan adolescents who are suffering from high risky behaviors such as delinquency and physical and verbal aggression due to lack of family support network.

Recently, Synthetic Aperture Radar (SAR) data are of high interest for different applications in remote sensing specially land cover classification. SAR imaging is independent of solar illumination and weather conditions; it is not affected by rain, fog, hail, smoke, or most importantly, clouds. It can even penetrate some of the Earth’s surface materials to return information about subsurface features. However, SAR images are difficult to interpret due to their special characteristics, i.e., the geometry and spectral range of SAR are different from optical imagery. In addition, the exhibition of the property of speckle caused SAR image is visually difficult to interpret. Consequently, optical data can be applied in fusion of SAR data to improve land cover classification. On the other hand, Light Detection and Ranging (LiDAR) data provide accurate height information for objects on the Earth, which makes LiDAR become more and more popular in terrain and land surveying. Regarding to the limitations and benefits of these three remote-sensing sensors, fusion of them improved land-cover classification. For this purpose, it is necessary to apply data fusion techniques. In recent years, significant attention has focused on multisensory data fusion for remote sensing applications and, more specifically, for land cover mapping. Data fusion techniques combine information from multiple sources, providing potential advantages over a single sensor in terms of classification accuracy. In most cases, data fusion provided higher accuracy than single sensors. Furthermore, fusion of sensors with inherent differences such as SAR, optical and LiDAR data need higher level of fusion strategies. Ability to fuse different types of data from different sensors, independence to errors in data registration step and accurate fusion methods could be mentioned as the benefits of decision-level fusion methods rather than other level fusion (pixel and feature level fusion methods).
This paper presents a method based on the simultaneously using of RADAR, multispectral and LiDAR data for classification of urban areas. First, different feature extraction strategies are utilized on all three data then a feature selection method based on Ant Colony Optimization (ACO) is applied to select optimized features. Maximum Likelihood (ML), Support Vector Machine (SVM) and K-nearest neighbor (KNN) are applied to classify optimized feature space as three classification methods. Finally a decision fusion method based on Weighted Majority Voting (WMV) is applied to provide final decision. A co-registered TerrraSAR-X, WorldView-2 and LiDAR data set form San Francisco of USA was available to examine the effectiveness of the proposed method. The results show that the proposed method based on the simultaneous use of three radar, optical and LiDAR data can increase the accuracy of some classes more and some other classes less. Also, the results of the data fusion can provide a different improvement compared to the results of the classification of each data individually. Generally, the results show that the use of multisensor imagery is worthwhile and the classification accuracy is significantly increased by such data sets. There are also several practical issues to be considered in future studies. Note that only a decision ensemble system was explored in this study. Additional research is needed in areas such as further study on more powerful feature spaces on each data, further processing of DSM of LiDAR, novel fusion strategies such as rule-based and object based classification strategies.

Regarding to the limitations and benefits of remote sensing sensors, fusion of remote sensing data from multiple sensors is effective at land cover classification. All these data have different characteristics, e.g., different spatial and spectral resolutions, different angle of view, and different abilities and disabilities. For many applications, the information provided by individual sensors is incomplete, inconsistent, or imprecise. Fusion of information from different sensors can produce a better understanding of the observed site, which is not possible with single sensor. Particularly, Light Detection And Ranging (LiDAR) provides accurate height information for objects on the earth, which makes LiDAR become more and more popular in terrain and land surveying. On the other hand, hyperspectral imaging is a relatively new technique in remote sensing that acquires hundreds of images corresponding to different spectral channels. The rich spectral information of HS data increases the capability to distinguish different physical materials, leading to the potential of a more accurate image classification. As hyperspectral and LIDAR data provide complementary information (spectral reflectance, and vertical structure, respectively), a promising and challenging approach is to fuse these data in the information extraction procedure.
This paper presents a multiple fuzzy classifier system (Multiple Classifier System or MCS) for fusions of hyperspectral and LiDAR data based on Decision Template (DT). After feature extraction on each data, the classification was performed by fuzzy K-Nearest Neighbor (KNN) on hyperspectral and LiDAR data separately. In a multiple fuzzy decision system, a set of decisions is first produced and then combined by a specific fusion method. The output of the fuzzy classifiers that provide the class belongingness of an input pattern to different classes is arranged in a matrix form defined as decision profile (DP) matrix. Then, a fuzzy decision fusion method (Decision Tempate) is utilized to fuse the results of fuzzy KNNs on hyperspectral and LiDAR data. In order to assess the fuzzy MCS proposed method, a crisp MCS based on (Support Vector Machine) SVM as crisp classifier and Naive Bayes (NB) as crisp classifier fusion method is applied on hyperspectral and LiDAR data. The experiments were executed on a hyperspectral image and a LiDAR derived Digital Surface Model (DSM); both with spatial resolution of 2.5 m. The dataset have captured over the University of Houston campus and the neighbouring urban area by the NSF-funded Centre for Airborne Laser Mapping (NCALM). Also hyperspectral image has 144 spectral bands in 380 nm to 1050 nm region. Training and testing samples were selected from different areas of the images. They are spatially disjointed.
Fuzzy MCS on hyperspectral and LiDAR data provide interesting conclusions on the effectiveness and potentialities of the joint use of these two data. Overall accuracies of fuzzy classifiers on LiDAR and hyperspectral data are %75 and %88 respectively. Fusion of these two fuzzy classifiers produced %96 as overall accuracy. Second scenario for joint use of hyperspectral and LiDAR data is fusion of these two data through a crisp decision fusion system. The results show that fuzzy classifier provided higher accuracies than crisp classification based on SVM for both data. In the presence of mixed coverage pixels in remote sensing data, crisp classifiers may produce errors while fuzzy classifiers are not affected by such errors and in principle can produce a classification that is more accurate than any crisp classifier. Also, fusion of ensemble of fuzzy classifiers based on Decision Template method produced more accuracy than fusion of crisp SVMs based on Bayesian Theory.

Rural tourism as a socio-economic activity can play an important role in diversification of rural economy by creating job and income opportunities; this can also help to improve and enhance the quality of life in rural communities. The purpose of this study was to investigate the effects of second home tourism in quality of life of permanent residents in rural areas of Saidabad County in Ijrud Township. In this applied research we have used descriptive- analytical methods. For data collection field techniques such as questionnaire and interview were used. For data analyzing, statistical tests such as one sample t-test, correlation and multiple variable regression were used. The sample includes villages in Saidabad County and from the total number of 818 households, 216 cases were chosen. The results of study show that tourism developments in the last decade have had positive impacts on the quality of life measures in rural areas. On the other hand, results of regression according to R square coefficient (0.924), indicates the positive effect of second home tourism development in improving the resident's quality of life indicators in the study area; so that among the impacts of expanding tourism second homes on the quality of life, economic index (0.450) and physical- infrastructural aspects (0.349) respectively have the highest impact and institutional and decision making dimension (0.078) has the least amount of impact on quality of life index from the viewpoint of local residents; and these effects, in all cases are significant at 99% level.

The aim of this study was to determine the mediating role of spirituality, sense of coherence, and coping strategies in the relationship between perceived stress and severity of substance dependence.
A descriptive-correlation research method was used for the conduct of this study. The statistical population of the study consisted of 200 male opioid users who had referred to Addiction Treatment Centers in Minoodasht city. It is noteworthy that these participants were selected via convenience sampling method. In order to collect data, a semi-structured interview on the severity of addiction and the questionnaires pertaining to perceived stress, sense of coherence, and spirituality were used. The collected data were analyzed through path analysis in SPSS and LISREL software.
The results showed that the structural model of the research does not have a suitable fit with the empirical data; and only the spirituality variable and emotion-focused coping strategy mediated the relationship between stress and severity of substance dependency.
The importance of spiritual dimension, as a protective factor against stress and a preventive factor against substance abuse behaviors, should be included as an important part of substance abuse treatment programs.

The purpose of this study was to investigate the validity, reliability and factorial structure of the existential scale in order to prepare a tool for therapists and researchers.
500 teachersworking in Tehran schools participated in the current study and were given Existence Scale and General Health Questionnaire in order to determine the validity and reliability of Existence Scale. The method of sampling was one-stage cluster sampling.General Health Questionnaire was used to assess the criteria validity and also in order to assess test-retest reliability, with two- week interval, existence scale were administered randomly again to 10% on sample population (n=50).
Result showed the correlation between existence scale andGHQ was significantly negative (criteria validity). Factor analysis revealed 4 factors with an eigenvalue greater than 1.6, and 8 items were omitted due to weak factor load. Confirmatory factor analysisalso showed the fitness of the 4 factor model. The study of internal consistency of existence scale showed that the Cronbach alphacoefficient was high (0/85) and test-retest reliability coefficient after two weeks was 0/88.
Existence scale is a valid and reliable test in Iranian teacher’s population and it can be used as a tool for measuring of existence componentsin research and clinical practice.

Solving constrained bimatrix games in the fuzzy environment is the aim of this research. This class of two-person nonzero-sum games is considered with finite strategies and fuzzy goals when some additional linear constraints are imposed on the strategies. We consider constrained two-person nonzero sum games with single and multiple payoffs. It is shown that an equilibrium solution of single-objective case can be characterized by solving a quadratic programming problem with linear constraints. Some mathematical program ming problems are also introduced to obtain the equilibrium points in multi objective case with crisp and fuzzy constraints. Finally, a political application of such games is presented which is about nuclear negotiations between two countries.

Oppositional defiant disorder is a common and disabling disorder in children, causing many problems for teachers, parents and children, and is associated with high rates of difficulties in social relationships; it may result in conduct disorder in adolescents and adults. The goal of this research was to study the effectiveness of Linking the Interests of Families and Teachers (LIFT) Program (Eddy, Reid & Fetrow, 2000) in preventing oppositional defiant disorder (ODD) and social problems. This was a quasi-experimental study with pretest posttest design. The statistical population of the study comprised all primary school boys with ODD symptoms in district 18 of Tehran. The sample was drawn using purposive sampling method and the subjects were randomly assigned to two experimental (N= 15) and control groups (N = 15). The instruments included Child Behavior Checklist (CBCL), Teacher Report Form (TRF), Social Problems subscale from Achenbach System of Empirically Based Assessment (ASEBA) (Achenbach & Rescorla, 2001), and clinical interviews based on Diagnostic and Statistical Manual of Mental Disorders (American Psychiatric Association, 2013). The collected data were analyzed by using covariance. Results indicated that LIFT program had a significant effect on oppositional defiant disorder symptoms from parents’ and teachers’ viewpoint. In addition, LIFT program had a significant impact on social problems based on parents’ and teachers’ point of view.

To assess the effects of different levels of soil lead on mineralization of organic carbon and nitrogen, a factorial pot experiment was conducted using litter bag method. The factors examined were different levels of soil lead (0, 25, 50, 100, and 200 mg kg-1soil) and incubation periods (1, 2, 3 and 4 months) in three replications. At the end of incubation periods, the litter bags were pulled out of the pots and the weights of plant residues remained in bags were measured. The plant residues were also analyzed for organic carbon and nitrogen. Organic carbon and nitrogen losses were calculated by subtracting the remaining amounts of organic carbon and nitrogen in one incubation time interval from those of former one later incubation time interval. The results showed that the losses of organic carbon from wheat residues and carbon decomposition rate constant decreased as the levels of soil lead increased over than 25 and 50 mg/kg of soil respectively. The losses of organic nitrogen was more affected by lead pollution and decreased as the levels of soil lead increased, but nitrogen decomposition rate constant decreased as the levels of soil lead increased over than 25 mg/kg. The losses of organic carbon and nitrogen in 200 mg Pb/ kg of soil were 3.2 and 11.7 % lower than control treatment. The results of this research indicate that contamination of soil by lead increases residence time of organic carbon and nitrogen in soils and slows down the cycling of these elements.

Cognitive science examines the nature and processes of attention by using different assignments. The purpose of this study was to compare the selective attention among persons with symptoms of antisocial personality disorder, obsessive-compulsive personality disorder and normal individuals.
In this research, 400 female students were randomly selected and completed the computer version of the Millon Questionnaire. Then, based on the criteria for admission, three groups of antisocial personality disorder, obsessive-compulsive personality disorder and normal subjects were selected. Consequentlythe Selected Attention Test was performed on all participants and data were analyzed using multivariate analysis of variance.
Results were shown significant difference in the efficiency of the focus (KL) between obsessive-compulsive personality and normal groups, with lower means for obsessive-compulsive personality group. In relation to the elimination error, the difference between the obsessive-compulsive personality group and the anti-social personality group was significant and obsessive-compulsive personality subjects had a oversimplified elimination error. The difference between obsessive-compulsive personality and normal groups was significant in elimination error and obsessive-compulsive individuals had more elimination errors.
Based on the findings, dysfunction of selective attention was associated with symptoms of personality disorder, investigating the neurological basis of the process of attention and processing of social stimuli in antisocial personality disorder and obsessive-compulsive personality disorder is recommended for future research in this field.

One of the crucial mechanisms in order to achieve a sustainable agriculture and water consumption management in the field is to continuously monitor the performance of pressurized irrigation systems. In the present study, the wind velocity effect on the performance of semiportable sprinkling irrigation systems in Zanjan province was evaluated. Therefore, the experimental tests were performed on 13 agricultural fields in two climatic conditions include high and low-intensity wind velocity. Spray losses, Christiansen uniformity coefficient, distribution uniformity of low quarter, actual application efficiency of lower quarter and the changes in the system’s pressure were determined. The results indicated that, the lowest and highest value of spray losses were determined 7.3 and 51.8%, respectively, and the general average values of spray losses in low- and high-intensity wind conditions were determined 13.0 and 31.7%, respectively. The minimum and maximum values of distribution uniformity of low quarter in low-intensity wind velocity condition were obtained 47.3 and 74.5% and in highintensity wind speeds were obtained 27.4 and 65.5%, respectively. The average values of those indices in the low- and high-intensity wind conditions were obtained as equal to 62.9 and 42.3% respectively. The actual application efficiency of low quarter was measured 41.5 to 61.8 and 17.3 to 46.4% in low and high wind velocity condition, respectively. Intensifying the wind velocity led to a reduction of 21.4% in actual application efficiency of low quarter and 20% in water distribution uniformity. Finally, the results indicate that, wind velocity has had a significant effect on reducing the water distribution uniformity and application efficiency. Application of high irrigation water depth and pressure changes in sprinkle irrigation systems were identified as other factors affecting on reducing technical performance of semi portable sprinkling irrigation system.

One of the ways to overcome human disabilities is the use of artificial parts, for which modeling plays an important role. This process is usually is done manually and, thus, is time consuming and error prone. Human’s body lacks suitable texture. Thus, the modeling technique should be one that does not require such information. Shape From Silhouette is a technique of such which does not require texture for matching, thus is adopted in this study. The problem with SFS is that it requires many images to form a complete detailed model. This in turn needs several camera positions, the availability of which is both expensive and difficult. To overcome this problem, in this paper it is suggested to use videos as an alternative source. As using video leads to difficulty in orientation of images, coded targets are used to simplify and automate the process. Experiments carried out to test the proposed system, suggest that not only the accuracy of measurements is achieved but also the process is simple and practical enough to be used in practical projects.

According to the introduction of positive psychology in recent years, this study examined the effectiveness based on positive psychology and in particular self-actualization training in reducing of psychological distress.
In order to achieve this goal, pretest and posttest with control group design was used. The study population consisted of 400 girl students of Razavi high school in 12th district of Tehran. First, all of students performed DASS scale and then 40 students with the highest score of the DASS were chosen and were randomly assigned into experimental group and control group. For the experimental group, self-actualization training was carried out in 8 sessions (twice a week), but the control group did not receive any treatment. Multivariate and univariate analysis were uses to analyze the data.
Univariate and multivariate analysis of covariance showed that self-actualization training reduces depression, anxiety and stress students in the experimental group compared with the control group.
The use of positive psychology in particular self-actualization training can be effective in reducing depression, anxiety and stress of high school students. The use of this method is an effective method to reduce student's psychological distress.

The current research was conducted to investigating the effectiveness of Goal Management Training (GMT) in the improvement of sustained attention, prospective memory, and response inhibition in methamphetamine abusers.
In a quasi-experimental study, 40 methamphetamine abusers who were in their early recovery period were selected through random cluster sampling method. They were then randomly assigned into two groups, goal management training plus pharmacotherapy and pharmacotherapy. In order to assess sustained attention, prospective memory and response inhibition, the researchers used Continuous Performance Test, Prospective and Retrospective Memory Questionnaire, and Stroop Color and Word Test. The data were analyzed by multivariate analysis of variance.
The results of the data analysis revealed that there was a significant difference between the two groups in terms of all components of sustained attention and prospective memory (P The present study showed that goal management training significantly improves sustained attention, response inhibition, and prospective memory in former methamphetamine abusers. These findings suggest the influence of neuropsychological rehabilitations on addiction treatment among methamphetamine users.

This paper surveys the Fifth Development Plan Act as a case study on post-revolutionary development plan that have been ratified during the 20-year Perspective Document of Islamic Republic of Iran.
With respect to the progressive justice-oriented approach of Iranian-Islamic patterns in all economic, cultural, social, and political aspects, whether lawmaking process of the Fifth Development Plan have been based upon the Islamic values or not. Is its legislative process have been complied with goals of the Islamic government?
It can be drawn inference from the data that 61 goals have been considered in the fifth development plan as well as a wide range of policies and measures have been taken in order to achieve these goals.
It is noteworthy that governments have been mostly addressed to implement provisions of the fifth development plan Act as well as they have merely played major roles in governance. But in this regard, ultimate and distinctive goal of Islamic government is realization of the right to development of individuals that particularly in economic area, following goals such as justice, security and welfare-oriented objectives are feasible.
Although the necessity of having considerable expertise in implementing the fifth development plan is inevitably underscored, the findings indicate that economic objectives of the fifth development plan are partly consistent with the Islamic government’s goals.
Also the existence of certain problems such as multiplicity of goals as well as lack of integrated objectives, lack of period, generalization, interpretable objectives, failure to provide supporting documents, lack of expert analyses about how to set goals and an explicit system of incentives and disincentives waver over implementing the plan.

Inroduction & Ischemic brain damage has disabled a large number of patients, in some cases with death and in other cases with different forms of permanent disabilities. Ischemic edema is one of the most important stroke complications. The purpose of this study is assessing the effects of heracleum persicum extract on the blood - brain barriers permeability and evaluating the caused reductions in brain edemas.
Methods and material: In this experimental study, 7 male Wistar rat were under investigation. First and second groups (control mice and sham mice) were distilling water, while the other three groups were consuming heracleum persicum extract with doses of 30, 50, 100 mg/kg for per kilogram of their body weight, and this feeding procedure was orally by using gavage for 30 days. Two hours after taking the last dose; each major group had been divided to (Middle Cerebral Artery Occlusion) MCAO subgroups, in order to measure the permeability of the blood - brain permeability and also measuring the level of cerebral edema.
Pretreatment with heracleum persicum extracts reduced brain edema in groups which had received 50 and 100 mg/kg of the extract for per kilogram of their body weight. Rats pretreatment with heracleum persicum extract also reduced the permeability of blood - brain barriers after MCAO.
This study suggests that heracleum persicum extract may reduce brain edema and also may reduce the permeability of the blood-brain barriers in cerebral ischemia - reperfusion in model rats and would cause neurological protection; but more work is needed to extend these observations.

Lack of attention to ability of the cities environment and increasing of environmental problems is caused the formation of urban poor and uninhabitable areas. Therefore, by careful evaluation of them, many issues and problems can be identified and took action to solve them. In the present era, most cities have been faced with numerous problems. But the environmental dimension has been more challenging. Many urban professionals constantly seek to present effective solutions in order to prevent damage to the environment. livability is about the human requirement for social amenity, health and well-being and includes both individual and community well-being. Different definitions of viability Rooted in different conditions of geographical locations. Geographic locations have numerous properties and have different environmental conditions. The dimensions and indicators of viability for each location should be localizing. In this research, Region 17 of Tehran as the most problem area, was selected and is one of regions of southern Tehran; and the overall goal of this study is understanding the relationship between dimensions of viability, In this way we can find solutions for current problems.

Adolescents with physical disabilities are one of noticeable group at different levels of health care. The career of these people has important effect on their empowerment and life satisfaction while method of career decision making of them is not clear and has not been researched.The aim of this study was to investigate career decision making of physically disabled high school students.
In this study qualitative study was conducted by grounded theory. 25 physical disabled students, 13 staff related to disabled people and 10 specialists were chosen by convenience sampling method for interview. Qualitative data was analyzed by expository apriority method and codification.
Findings showed that severity and type of disability, perception of disability, self-awareness, self-efficacy, experiences of career, career's information, supporting network, decision-making skills, coping skills, family's reactions to disability are major categories of students with disabilities in decision-making. Also core part of this study is adaptive transmission's career which is included major mentioned categories. Finally, preliminary decision was to provide students with disabilities.
Based on these findings it can be concluded that career decision making counseling of students with disabilities needs to consider most important components of disabled career decision making.

Anxiety and depression are mostly manifested as comorbid disorders in elderly and are associated with negative consequences in elderly people’s physical and mental health and also poorer response to medicinal and psychological treatments. The present study was planned and implemented in order to investigate structural model of positive and negative affects with anxiety and depression in elderly mediated by difficulties in emotion regulation.
The current research was correlational. 173 elderly people were selected by using convenience sampling method among the elderly population in Minoudasht city. The participants of this study completed Difficulty in Emotion Regulation Scale, Positive and Negative Affect Schedule and the Anxiety and Depression Scale. Path analysis was used to test the pattern of direct and indirect impacts.
Findings of current study indicated that the data has good fitness with model. The direct impact of positive affect on depression and direct impact of negative affect on depression were significant. Indirect impact of positive affect on anxiety and depression through emotion regulation difficulty was significant. Also, indirect effect of negative affect on anxiety and depression through emotion regulation difficulty was significant. The direct impact of negative affect on depression was not significant. Moreover, findings demonstrate that direct impact of positive affect on depression is stronger than other variable. Finally, 57% of depression variance and 53% of anxiety variance in this model are explained by emotion regulation difficulty, positive affect and negative affect. Positive affect, negative affect and emotion regulation difficulty can significantly predict anxiety and depression among elderly.
Affective style and emotion regulation difficulty should be considered in therapeutic interventions or prevention of anxiety and depression in elderly. Theoretical implications of findings have been discussed.

Nowadays, the most generated electrical energy is consumed by three-phase induction motors. Thus, in order to carry out preventive measurements and maintenances and eventually employing high-efficiency motors, the efficiency evaluation of induction motors is vital. In this paper, a novel and efficient method based on improved big bang-big crunch (I-BB-BC) algorithm is presented for efficiency estimation in the induction motors. In order to estimate the induction motor’s efficiency, the measured current, the power factor and the input power are applied to the proposed method and an appropriate objective function is presented. The main advantage of the proposed method is efficiency evaluation of induction motor without any intrusive test. Moreover, a new effective and improved version of BB-BC algorithm is introduced. The presented modifications can improve the accuracy and speed of the classic version of algorithm. In order to demonstrate the capabilities of the proposed method, a comparison with other traditional methods and intelligent optimization algorithms is performed.