W-boson mass anomaly and vacuum structure in vector dark matter model with a singlet scalar mediator

Motivated by the deviation of the W boson mass reported by the CDF collaboration, we study an extension of the Standard Model (SM) including a vector dark matter (VDM) candidate and a scalar mediator. In the model, the one-loop corrections induced by the new scalar, shift the W boson mass. We identify the parameter space of the model consistent with dark matter (DM) relic abundance, W mass boson anomaly, invisible Higgs decay at LHC, and direct detection of DM. It is shown that the W-mass anomaly can be explained for the large part of parameter space of VDM mass and scalar mediator mass between $100-124~\rm GeV$ by the model. We also investigate the renormalization group equations (RGE) at one-loop order for the model. We show that the contribution of new scalar mediator to RGE, guarantees positivity and vacuum stability of SM Higgs up to Planck scale

Gravitational wave effects and phenomenology of a two-component dark matter model

We study an extension of the Standard Model (SM) which could have two candidates for dark matter (DM) including a Dirac fermion and a Vector Dark Matter (VDM) under new $U(1)$ gauge group in the hidden sector. The model is classically scale invariant and the electroweak symmetry breaks because of the loop effects. We investigate the parameter space allowed by current experimental constraints and phenomenological bounds. We probe the parameter space of the model in the mass range $1< M_V<5000$ GeV and $1<M_{\psi}<5000$ GeV. It has been shown that there are many points in this mass range that are in agreement with all phenomenological constraints. The electroweak phase transition have been discussed and shown that there is region in the parameter space of the model consistent with DM relic density and direct detection constraints, while at the same time can lead to first order electroweak phase transition. The gravitational waves produced during the phase transition could be probed by future space-based interferometers such as LISA and BBO.Comment: 28 pages, 11 figure

Effect of Epoetin Alfa and Sodium Valproate in Patients with Myelodysplastic Syndrome

Background: Myelodysplastic syndrome (MDS) is an important precancerous disease leading to blood malignancies. Prompt diagnosis and treatment would result in better outcome in patients. Purpose of the study was to determine the effect of Epoetin Alfa and Sodium Valproate in patients with MDS. Materials and Methods: In this interventional quasi-experimental study, 50 consecutive patients with MDS from Taleghani Hospital (Tehran, Iran) in 2016-2017 were enrolled. They underwent treatment for eight months with 10000 units per month from Epoetin Alfa plus 200 mg TDS from Sodium Valproate. The hematological response was determined according to the hemoglobin, platelet, and neutrophil. Results: Hematological response was present in 68%. The packed cell treatment were decreased significantly (P=0.040) and 56% of patients had no receipt of packed cells after treatment. Conclusion: It is concluded that Epoetin Alfa plus Sodium Valproate was effective in treatment of patients with Myelodysplastic syndrome and use of this combination therapy is recommended

Correlation between Distribution of Hospital Inpatient Beds and Households expenditure in Iran

Correlation between Distribution of Hospital Inpatient Beds and Households expenditure in Iran Maher Ali1, Marzang Shoresh2*, Seyed Mojtaba Hosseini3 1. Assistant Professor, Department of Health Services Management, School of Management and Social Sciences, Tehran North Branch, Islamic Azad University, Tehran, Iran. 2. MSc, School of Management and Social Sciences, Tehran North Branch, Islamic Azad University, Tehran, Iran. 3. Assistant Professor, Department of Health Services Management, School of Management and Social Sciences, Tehran North Branch, Islamic Azad University, Tehran, Iran. *Correspondence: West Azerbaijan, Boukan, Islamic Republic Street, Sardar Street, Health Center Boukan Tel: 04446233100 Email: [email protected] Abstract: Introduction: Inequality in distribution of medical resources, including hospital beds, is important in providing optimal health care. This study aimed to determine the relationship between the distribution of hospital beds in Iran and household expenditure as one of the indicators of the economic and social status. Methods: This descriptive-analytic study was conducted via document method and using household expenditure data in 2014 provided by the Statistical Center of Iran as well as the data of the Ministry of Health on the distribution of hospital beds in all provinces of the country. Spearman correlation test was used to find the correlation between hospital beds distribution and households’ expenditure and Gini coefficient was used to evaluate inequality in Distribution of Hospital Inpatient beds. Data analysis was conducted through SPSS22 software. Results: There was a direct relationship between food and non-food expenditures of urban households and distribution of special care beds, surgery beds and general beds in hospitals ofIran provinces. But, this relationship was not significant for rural households. Gini coefficient index was equal to 0.281 which indicates great equality. Conclusion: If inpatient beds be considered as the criterion for the distribution of health services in the provinces, little inequality is adhered. On the other hand, the inequality in the distribution of health expenditures among rural households in Iran provinces is very high. The government should increase health facilities and financial supports in deprived areas in order to decrease these inequalities. Key¬words: Inpatient beds, Urban household expenditure, Rural households expenditure, Distribution of bed, Inequality, Gini index ¬Citation: Maher A, Marzang S, Hosseini SM. Correlation between Distribution of Hospital Inpatient Beds and Households expenditure in Iran. Journal of Health Based Research 2016; 2(3): 275-287

Di-ANFIS: an integrated blockchain–IoT–big data-enabled framework for evaluating service supply chain performance

Service supply chain management is a complex process because of its intangibility, high diversity of services, trustless settings, and uncertain conditions. However, the traditional evaluating models mostly consider the historical performance data and fail to predict and diagnose the problems’ root. This paper proposes a distributed, trustworthy, tamper-proof, and learning framework for evaluating service supply chain performance based on Blockchain and Adaptive Network-based Fuzzy Inference Systems (ANFIS) techniques, named Di-ANFIS. The main objectives of this research are: 1) presenting hierarchical criteria of service supply chain performance to cope with the diagnosis of the problems’ root; 2) proposing a smart learning model to deal with the uncertainty conditions by a combination of neural network and fuzzy logic, 3) and introducing a distributed Blockchain-based framework due to the dependence of ANFIS on big data and the lack of trust and security in the supply chain. Furthermore, the proposed six-layer conceptual framework consists of the data layer, connection layer, Blockchain layer, smart layer, ANFIS layer, and application layer. This architecture creates a performance management system using the Internet of Things (IoT), smart contracts, and ANFIS based on the Blockchain platform. The Di-ANFIS model provides a performance evaluation system without needing a third party and a reliable intermediary that provides an agile and diagnostic model in a smart and learning process. It also saves computing time and speeds up information flow.Service supply chain management is a complex process because of its intangibility, high diversity of services, trustless settings, and uncertain conditions. However, the traditional evaluating models mostly consider the historical performance data and fail to predict and diagnose the problems’ root. This paper proposes a distributed, trustworthy, tamper-proof, and learning framework for evaluating service supply chain performance based on Blockchain and Adaptive Network-based Fuzzy Inference Systems (ANFIS) techniques, named Di-ANFIS. The main objectives of this research are: 1) presenting hierarchical criteria of service supply chain performance to cope with the diagnosis of the problems’ root; 2) proposing a smart learning model to deal with the uncertainty conditions by a combination of neural network and fuzzy logic, 3) and introducing a distributed Blockchain-based framework due to the dependence of ANFIS on big data and the lack of trust and security in the supply chain. Furthermore, the proposed six-layer conceptual framework consists of the data layer, connection layer, Blockchain layer, smart layer, ANFIS layer, and application layer. This architecture creates a performance management system using the Internet of Things (IoT), smart contracts, and ANFIS based on the Blockchain platform. The Di-ANFIS model provides a performance evaluation system without needing a third party and a reliable intermediary that provides an agile and diagnostic model in a smart and learning process. It also saves computing time and speeds up information flow

Effectiveness of sexual health counseling based on mindfulness approach on sexual satisfaction in women suffering from infertility: An RCT

Background: The infertility phenomenon affects physiological and psychosocial aspects. Sexual counseling can improve sexual and marital satisfaction. Objective: This study aimed to determine the effectiveness of sexual health counseling based on the mindfulness approach on sexual satisfaction of women suffering from infertility. Materials and Methods: This randomized clinical trial study was conducted on 44 women suffering from infertility referred to the Yazd Reproductive Science Institute, Yazd, Iran. Women were randomly divided into 2 groups. The intervention group (n = 22) received 8 sessions of sexual counseling, while control group (n = 22) received routine care. The data collection tool was the sexual satisfaction questionnaire. Results: The mean age of women was 30.05 ± 4.9 yr, infertility duration was 6.83 ± 4.27 yr, and the mean duration of marriage was 8.3 ± 4.01 yr. The mean score of sexual satisfaction of women suffering from infertility in the intervention group was 62.9 ± 7.32, 71.6 ± 5.95, and 70.9 ± 6.26, before the intervention (baseline), after intervention (8th wk), and follow-up (12th wk) respectively. The mean score of sexual satisfaction of women suffering from infertility in the control group was 63.3 ± 6.82, 64.2 ± 7.93, and 62.25 ± 7.99, at baseline, 8th wk later, and after follow-up (12th wk), respectively. Sexual satisfaction scores increased before and one month after the intervention in the counseling group, and this difference was statistically significant (p &lt; 0.001). Conclusion: Mindfulness-based sexual health counseling programs may improve sexual satisfaction in women suffering from infertility in the intervention group. Key words: Infertility, Women, Sexual satisfaction, Mindfulness, Psychology

Numerical Study on Heat Transfer to an Arc Absorber Designed for a Waste Heat Recovery System around a Cement Kiln

A numerical study on combined free convection, forced convection, and radiation heat transfers from an industrial isothermal rotating cylinder (cement kiln) is carried out in this work. The investigation is done by the study of two-dimensional (2D) incompressible turbulent flow around the kiln under steady- and unsteady-state solutions. The results of this study show that the average Reynolds and Rayleigh numbers around the cylindrical kiln are 647,812.1 and 1.75986 × 1011, respectively. A heat absorber is specifically designed around the kiln, according to the available space around the kiln, in a sample cement factory. The study investigates the effect of an added absorber on the heat transfer features, for both constant heat flux and constant temperature, on the kiln. The temperature distribution along the absorber circumference is obtained for designing an efficient thermoelectric waste heat recovery system as a future study. It is observed that the contribution of the radiative heat transfer is significant in the total heat transferred from the kiln to the absorber