Studying effect of intellectual capital on insurance demand increase: case study; Asia insurance company

Difference in the companies' performance is resulted by the fact that successful organizations have strategic resources (physical, human, and structural) that their Competitors doesn't have. So, difference in these resources have prominent role to create benefit for companies. The main purpose of the present study is to study intellectual capital effect on insurance demand increase in Asia insurance company and tries to study the effect of three dimensions of intellectual capital (human, structural and customer) on insurance demand increase in Asia insurance company. Research method in terms of the goal is applicable, and in terms of the study method is descriptive and is of survey branch. Population of the study consists of all officers of central organizations of Asia insurance company in Tehran. The sample size is 132 officers of the central office of Asia Insurance Company. Data collected by questionnaire and analyzed by One Sample T-Test. The results indicate that intellectual capital and it's dimensions, have effect on insurance demand increase in Asia insurance company

S-wave charmed mesons in lattice NRQCD

Heavy-light mesons can be studied using the 1/M expansion of NRQCD, provided the heavy quark mass is sufficiently large. Calculations of the S-wave charmed meson masses from a classically and tadpole-improved action are presented. A comparison of O(1/M), O(1/M^2) and O(1/M^3) results allows convergence of the expansion to be discussed. It is shown that the form of discretized heavy quark propagation must be chosen carefully.Comment: LATTICE98(heavyqk), 3 pages including 3 figure

Examining infrastructural obstacles against knowledge management in high education centers in free west zone of Mazandarn Province

The aim of the present study is to examine the Infrastructural obstacles against Knowledge Management in high education centers in free west zone of Mazandarn province by descriptive – measurement method; the universe includes all members of scientific board in high education centers in free west zone of Mazandarn province (245 ones). The data were collected by means of a 31-item questionnaire by the researchers for this purpose. The findings are in relation to essential obstacles concerning lack of mission, conversion of traditional to learning organization, the idea to accept power distribution to decrease managers' power, Iranian work and human source, benefiting from proper technology and managing democratically and technological obstacles in strategic, organizational, human, cultural, political and Infrastructural sectors, respectively

Examining infrastructural obstacles against knowledge management in high education centers in free west zone of Mazandarn Province

The aim of the present study is to examine the Infrastructural obstacles against Knowledge Management in high education centers in free west zone of Mazandarn province by descriptive – measurement method; the universe includes all members of scientific board in high education centers in free west zone of Mazandarn province (245 ones). The data were collected by means of a 31-item questionnaire by the researchers for this purpose. The findings are in relation to essential obstacles concerning lack of mission, conversion of traditional to learning organization, the idea to accept power distribution to decrease managers' power, Iranian work and human source, benefiting from proper technology and managing democratically and technological obstacles in strategic, organizational, human, cultural, political and Infrastructural sectors, respectively

Examining infrastructural obstacles against knowledge management in high education centers in free west zone of Mazandarn Province

The aim of the present study is to examine the Infrastructural obstacles against Knowledge Management in high education centers in free west zone of Mazandarn province by descriptive – measurement method; the universe includes all members of scientific board in high education centers in free west zone of Mazandarn province (245 ones). The data were collected by means of a 31-item questionnaire by the researchers for this purpose. The findings are in relation to essential obstacles concerning lack of mission, conversion of traditional to learning organization, the idea to accept power distribution to decrease managers' power, Iranian work and human source, benefiting from proper technology and managing democratically and technological obstacles in strategic, organizational, human, cultural, political and Infrastructural sectors, respectively

Optimization via Rejection-Free Partial Neighbor Search

Simulated Annealing using Metropolis steps at decreasing temperatures is widely used to solve complex combinatorial optimization problems. In order to improve its efficiency, we can use the Rejection-Free version of the Metropolis algorithm, which avoids the inefficiency of rejections by considering all the neighbors at every step. As a solution to avoid the algorithm from becoming stuck in local extreme areas, we propose an enhanced version of Rejection-Free called Partial Neighbor Search (PNS), which only considers random parts of the neighbors while applying Rejection-Free. We demonstrate the superior performance of the Rejection-Free PNS algorithm by applying these methods to several examples, such as the QUBO question, the Knapsack problem, the 3R3XOR problem, and the quadratic programming.Comment: 24 pages with 2 more pages of reference, 9 figure

B Meson Decay Constants From NRQCD

We present quenched results for B meson decay constants using NRQCD b quarks and O(a) tadpole improved clover light quarks. For the first time, one-loop matching factors between lattice and continuum currents are incorporated through O(\alpha/M) taking operator mixing fully into account. This includes an important O(\alpha a) discretization correction to the heavy-light axial vector current. We find f_B = 0.147(11)(^{+8}_{-12})(9)(6) MeV and f_{B_s}/f_B = 1.20(4)(^{+4}_{-0}). PACS numbers: 12.38.Gc, 12.39.Hg, 13.20.He, 14.40.NdComment: LaTeX file, 14 pages, typos corrected, to be published in Phys. Lett.

The relationship between the religious beliefs and the feeling of loneliness in elderly

The objective of this research is to study the relationship between the religious beliefs and the feeling of loneliness in elderly. In this descriptive correlation study, the statistical society included 100 individuals of the society of retired people in the Medical University of Gilan province in Iran. The sample was taken by the easy random method. The method of collecting data was the questionnaire contained 3 parts: 1) personal characteristics and social characteristics. 2) Allport's internal and external religious beliefs scale and 3) the Standard loneliness feeling of You care. Data was analyzed by means of the description and presumption statistical methods and use of the SPSS software. The findings showed that there is a meaningful correlation between the external religious beliefs and the marital status, the amount of income, socialization with family members and relatives, social activities and also between the internal religious beliefs and the attending in the religious gatherings, the emotional support of the family, friends, and the others and the general satisfaction of the mentioned supports with P<0.05 and finally with the use of the nonparametric testes, a meaningful relationship has been found between the religious beliefs and the feeling of loneliness with P<0.001. Thus this study shows that the religious believes as an important source of support in aged people, can help them to be healthier physically and psychologically and it is essential to consider it for the mental health educational plans. © Indian Society for Education and Environment (iSee)

Depression and Demographical Features in Diabetic Patients

Depression is one of the psychiatric prevalent illnesses across the world. Depression is an illness which has a direct relationship with diabetes. The purpose of determining the level of depression among the diabetic persons referring to Rasht diabetes center. This research is a correlation - descriptive study which was conducted using the simple random sampling method within 3 months on 144 subjects of the social workers afflicted with diabetes referring to Rasht diabetes center in 2008. Data gathering tool was a questionnaire consisting of two parts. The first and second parts of the questionnaire consisted of demographic data and Back depression standard, respectively. Finally, the data out of this research were analyzed by using the SPSS version 15 statistical software and T-test statistical tests. Results showed that out of 144 subjects, there were 79.86 % female and 20.14% male, 16 people (11.1%) forty years old and younger, 18 people (12.5%) older than 65 years, and 2.1% single and 6.9% divorced. In one hand, in terms of education level, 47.9% and 6.9% were illiterate and educated, respectively. On the other hand, in terms of the illness type, 25 people (17.4%) and 75 people (82.6%) were afflicted with diabetes types 1 and 2, respectively. In addition, statistical tests showed that 35.41% of tester were afflicted with acute depression of which 88.23%, 84.31%, and 84.33% were female, married, and afflicted with diabetes type 2, respectively. It was also shown that there is a significant relationship between depression and gender (p=0.004), marital status (p< 0.05), educations level (p<0.05), and jobs of the afflicted (p<0.05). The present study shows that there is a significant relationship between the depression in people afflicted with diabetes and their gender, marital status, educations level, and jobs and also 22.22%, 22.22%, 19.47% and 35.41% of the people were afflicted with weak, low, average, and acute depression. Sheikholeslami F, Norozi Nia R, Mirpoor ZS, Tavakoly Vardanjani A, Esmaeili Vardanjani SA. Depression and Demographical Features in Diabetic Patient. Life Sci J 2012;9(4):5542-5547] (ISSN:1097-8135). http://www.lifesciencesite.com. 82

Optimizing density, dynamic viscosity, thermal conductivity and specific heat of a hybrid nanofluid obtained experimentally via ANFIS-based model and modern optimization

In this study, rGO/Co3O4 nanocomposite was synthesized, characterized, and then the thermophysical properties were obtained experimentally, after which the experimental data at varying values of temperature and particle loadings was used for optimization purposes. The study was concerned with different values of the controlling parameters. The in-situ/chemical reduction technique was used to synthesize the rGO/Co3O4 nanocomposite and then characterized with x-ray diffraction, transmission electron microscope, and magnetometry. The system was studied at temperature values ranging at 20, 30, 40, 50, and 60 °C and with particle loadings of 0.05%, 0.1%, and 0.2% wt%. The authors in this article have introduced a novel population-based algorithm that is known as Marine Predators Algorithm to obtain the optimal values of the controlling parameters (i.e., temperature and nanofluid mixture percentage) that minimize two controlled variables (i.e., density and viscosity) as well as maximize the other two controlled variables (thermal conductivity and specific heat). The rGO/Co3O4 nanocomposite nanofluid thermal conductivity and viscosity were investigated experimentally, and a maximum increment of 19.14% and 70.83% with 0.2% particle loadings at 60 °C was obtained. At 0.05%, 0.1%, and 0.2% particle loading wt%, the density increased by 0.115%, 0.23%, and 0.451% at a temperature of 20 °C; simultaneously, density increased by 0.117%%, 0.235%, and 0.469% at 60 °C, respectively as compared to water. At 0.2 wt%, the maximum decreased specific heat was 0.192% and 0.194% at 20 °C and 60 °C. When compared with water, no effect was observed with an increase in temperature/: a similar trend as that of the water was followed. The optimal values were found to be at a temperature of 60 °C and for 0.05% particle loading of the prepared nanofluid. However, among the conducted experiments, the optimizer pointed out that the optimal experiment was the one conducted at a temperature of 60 °C and a nanofluid percentage at 0.05. In conclusion, the proposed methodology of modelling with an artificial intelligence tool such as an adaptive network-based fuzzy inference system technique and then determining the optimal parameters with the marine predators algorithm accomplished the goal of the study with major success.publishe