Dynamic Network Flows with Uncertain Costs belonging to Interval

This paper considers minimum cost flow problem in dynamic networks with uncertain costs. First, we present a short introduction of dynamic minimum cost flow. Then, we survey discrete and continuous dynamic minimum cost flow problems, their properties and relationships between them. After that, the minimum cost flow problem in discrete dynamic network with uncertainty in the cost vector is considered such that the arc cost can be changed within an interval. Finally, we propose an algorithm to find the optimal solution of the proposed model

The most important Iranian medicinal plants with immunomodulatory property according to traditional medicine and modern research findings

nnate immunity is the body's first line of defense against different pathogenic agents. Macrophages and neutrophils are two main cells that contribute significantly to innate and acquired immune responses, and important effector cells to destroy harmful agents. Function of these cells can be modulated by natural and synthetic compounds. Nowadays, the immunomodulatory effects of herbal plants is a hot research issue worldwide as a good candidate to strengthen immune system. The aim of this review article is to report the most important medicinal plants of Iran with immunomodulatory effect. The search terms including immunomodulatory, medicinal plants, and Iran were used to search for relevant articles in some national databases such as Scientific Information Databases, and Google Scholar search engine. Thyme, Pennyroyal, Garlic, Echinaceae and Olive were found to be traditionally used to strengthen the immune system of the body. Aloe (Aloe barbadensis), Palm (Phoenix ductylifera), Fennel (Foeniculum Vulgare) and Cumin seed (Cuminum cyminum) have been reported to have immunomodulatory effects according to scientific research

Multivariate Aging and Archimedean Dependence Structures in High Dimensions

Bivariate aging notions for a vector X of lifetimes based on stochastic comparisons between X and X_t , where X_t is the multivariate residual lifetime after time t > 0, have been studied in Pellerey (2008) under the assumption that the dependence structure in X is described by an Archimedean survival copula. Similar stochastic comparisons between X_t and X_t+s , for all t s > 0, were considered in Mulero and Pellerey (2010). In this article, these results are generalized and extended to the multivariate case. Two illustrative examples are also provided

The menopausal age and associated factors in Gorgan, Iran

Background: Considering the physical, emotional and psychological complications of early or delayed menopause on women's life, it is necessary to determine associated factors of menopause age. This study designed to determine menopausal age and associated factors in women of Gorgan, i.e. the capital of Golestan province in the north-east of Iran. Methods: In this cross-sectional study, 804 menopausal women in Gorgan were selected via two-stage sampling method in 2009. The study included only women who had undergone natural menopause and had their last menstrual bleeding at least one year before. Data were gathered through structured questionnaire that included individual characteristics, socioeconomic characteristics, menstrual and fertility characteristics and climacteric complaints. Socioeconomic status was defined using principal component analysis. Data were analyzed with Tstudent's and ANOVA tests using SPSS version 16 (SPSS Inc, Chicago, IL, USA) for Windows. Results: The mean menopause age was 47.6±4.45 years with the median age of 48 years. The mean menopause age in women with first pregnancy before 30 years (47.58±4.47years), without pregnancy (46.26±4.90years) and without delivery (46.30±4.47years) was significantly lower than others (p 0.05). Socioeconomic status was not associated significantly with menopause age (p>0.05). Conclusion: This study illustrated that menstrual and fertility factors have influence on menopausal age while socioeconomic factors were not effective

Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries

This study explored the potential of gait analysis as a tool for assessing post-injury complications, e.g., infection, malunion, or hardware irritation, in patients with lower extremity fractures. The research focused on the proficiency of supervised machine learning models predicting complications using consecutive gait datasets. We identified patients with lower extremity fractures at an academic center. Patients underwent gait analysis with a chest-mounted IMU device. Using software, raw gait data was preprocessed, emphasizing 12 essential gait variables. Machine learning models including XGBoost, Logistic Regression, SVM, LightGBM, and Random Forest were trained, tested, and evaluated. Attention was given to class imbalance, addressed using SMOTE. We introduced a methodology to compute the Rate of Change (ROC) for gait variables, independent of the time difference between gait analyses. XGBoost was the optimal model both before and after applying SMOTE. Prior to SMOTE, the model achieved an average test AUC of 0.90 (95% CI: [0.79, 1.00]) and test accuracy of 86% (95% CI: [75%, 97%]). Feature importance analysis attributed importance to the duration between injury and gait analysis. Data patterns showed early physiological compensations, followed by stabilization phases, emphasizing prompt gait analysis. This study underscores the potential of machine learning, particularly XGBoost, in gait analysis for orthopedic care. Predicting post-injury complications, early gait assessment becomes vital, revealing intervention points. The findings support a shift in orthopedics towards a data-informed approach, enhancing patient outcomes.Comment: 13 pages, 6 figure

A Cost-Minimization Analysis of Day-Care Versus in-Patient Surgery for Five Most Common General Surgical Procedures

Objective: This study aimed to compare costs of Day-care versus in-patient surgery for five most common general surgical proce-dures in a general hospital in Iran. Methods: In this retrospective study the records of all patients who underwent five most common general surgical operations (in-cluding Hernia, Hemorrhoid, Fistula, Pilonidal Sinus and Varicocele) between March 2011 and March 2013 were reviewed. The data about costs of these procedures was collected by a checklist, designed by the authors, one year before and one year after establishing the Day-Care ward in the hospital. The checklist was designed on the basis of 14 financial items related to surgical patients. All costs were measured from the provider's perspective. Results: The results of this study showed that after implementing day-care surgery ward, inpatient care costs, such as medi-cine/drugs, physician visits, medical consumable, personnel and hotel, reduced significantly per each procedure. However, the costs directly associated with each surgery, such as drugs and consumable, surgeon's wage and anesthesia costs, between these two periods was not significantly different. The highest amount of savings was related to the personnel costs, with 997,000 IRR reductions. On average, total cost of each procedure was reduced by 2,031,358 IRR after implementation of day-care ward. Conclusion: The findings from this study demonstrate that day-care surgery is a cost saving method compared to in-patient surgery for five most common general surgical procedures. It is recommended that hospital managers consider establishing day-care ward and conducting surgical procedures, in particular elective general surgical procedures, in this regimen, to decrease hospital costs and to make hospital beds free, for other patients who are more in need of specialized medical and nursing skills

The productivity and its barriers in public hospitals: Case study of Iran

Background: Due to the increasing health care costs, the issue of productivity in hospitals must be taken into great consideration in order to provide, preserve and promote public health services. Thus, increasing the level of productivity must become the main aim of any hospital. Objective of this study is to determine the total factor productivity and its components over the period under the study. Methods: In this cross sectional study, total factor productivity changes of hospitals affiliated to Tehran University of Medical Sciences were measured according to Malmquist index over the period 2009-2014. To estimate total productivity changes using Data Envelopment Analysis method, inputoriented and variable return to scale assumptions were applied and Deap2.1 software was used. Results: The mean value of total productivity changes was 1.013. It means that during the study period the productivity experienced a 1.3 decrease. Technological efficiency changes have the greatest influence on productivity decrease than the other factors. Scale efficiency, managerial efficiency and technical efficiency changes were ranked. Conclusion: Lack of knowledge of hospital personnel on proper application of technology in patient treatment is the main factor leading to productivity decrease resulting from technological changes in the studied hospitals. Therefore, holding courses for personnel in order to teach them the proper use of technology in diagnosis and patient care can be helpful

Multiple air pollutant exposure and lung cancer in Tehran, Iran

Lung cancer is the most rapidly increasing malignancy worldwide with an estimated 2.1 million cancer cases in the latest, 2018 World Health Organization (WHO) report. The objective of this study was to investigate the association of air pollution and lung cancer, in Tehran, Iran. Residential area information of the latest registered lung cancer cases that were diagnosed between 2014 and 2016 (N = 1,850) were inquired from the population-based cancer registry of Tehran. Long-term average exposure to PM10, SO2, NO, NO2, NOX, benzene, toluene, ethylbenzene, m-xylene, p-xylene, o-xylene (BTEX), and BTEX in 22 districts of Tehran were estimated using land use regression models. Latent profile analysis (LPA) was used to generate multi-pollutant exposure profiles. Negative binomial regression analysis was used to examine the association between air pollutants and lung cancer incidence. The districts with higher concentrations for all pollutants were mostly in downtown and around the railway station. Districts with a higher concentration for NOx (IRR = 1.05, for each 10 unit increase in air pollutant), benzene (IRR = 3.86), toluene (IRR = 1.50), ethylbenzene (IRR = 5.16), p-xylene (IRR = 9.41), o-xylene (IRR = 7.93), m-xylene (IRR = 2.63) and TBTEX (IRR = 1.21) were significantly associated with higher lung cancer incidence. Districts with a higher multiple air-pollution profile were also associated with more lung cancer incidence (IRR = 1.01). Our study shows a positive association between air pollution and lung cancer incidence. This association was stronger for, respectively, p-xylene, o-xylene, ethylbenzene, benzene, m-xylene and toluene

Men�s willingness to pay for prostate cancer screening: a systematic review

Background: This study aimed to review studies on willingness to pay (WTP) for prostate cancer screening. Methods: This systematic-review was conducted based on the Preferred Reporting Items for Systematic Reviews guidelines. By searching six-health-database, WTP studies on prostate cancer screening using contingent valuation method published in English until March 2020 were included and those with unavailable full-text and inadequate quality-assessment scores were excluded. Smith checklist was used for the quality assessment. Extracted WTPs were converted to US dollar in 2018 using exchange rate parity and net present value formula to make comparison. Factors� effect was assessed by vote counting. Results: Six final studies published after 2006 reported above 70 Smith checklist items needed to be considered in contingent valuation study reports. Seven factors have positive effects on WTP. The reported WTP value varied from 11 to 588 in Japan and Germany, respectively. Conclusion: WTP for prostate cancer screening was positive among all studied men. The results of factors� effect assessment showed that better understanding prostate cancer risks or screening tests and factors such as age, income, family history of cancer, hospitalization history, and educational level have positive effects. Moreover, prostate-specific antigen history, health insurance, employment, and subject�s health assessment received less attention. The results� generalization to all countries is not applicable because there are no studies for low- and middle-income countries. Systematic review registration: PROSPERO 2020 CRD42020172789 © 2020, The Author(s)