A Modern Method to Improve of Detecting and Categorizing Mechanism for Micro Seismic Events Data Using Boost Learning System

Various natural disasters such as floods, fires, earthquakes, etc. have affected human life. Detection and classification of large and small earthquakes caused by natural or abnormal events have been always important to Earth scientist. One of the most important research challenges in this field is the lack of an effective method for identifying and categorizing various types of seismic events at less important and important levels. Based on latest achievements of Data Mining international institutions such as Rexer-KDnugget-Gartner and also newest authentic articles, SVM, KNN, C4.5, MLP are from most important and popular and leading classifiers in data world. Therefor in present study, a boost learning system consisting support vector machine algorithms with linear regression, MLP Neural Network ، C4.5 decision tree and KNN near neighbourhood have been utilized in a combined form to detect and categorize micro seismic events. In general, the steps involved in the proposed method are: 1) performing artificial seismic tests, 2) data gathering and analysis, 3) conducting pre-processing and separating training and testing samples, 4) generating relevant models with training samples and detecting and clustering test samples and 5) extracting a cluster with the maximum candidate using boost learning. After simulations, it was observed that the accuracy of proposed boost method to the best answer was about 6.1% higher compare to other methods and the error rate was 0.082% of recalling. Accuracy of detection and classification to the best answer were also improved compare to other methods up to 2.31% and 6.34%, respectively

Shear-Mode Viscoelastic Damage Formulation Interface Element

In this paper, a viscoelastic-damage cohesive zone model is formulated and discussed. The interface element constitutive law has two elastic and damage regimes. Viscoelastic behaviour has been assumed for the shear stress in the elastic regime. Three element Voigt model has been used for the formulation of relaxation modulus of the material. Shear Stress has been evaluated in the elastic regime of the interface with integration over the history of the applied strain at the interface. Damage evolution proceeds according to the bilinear cohesive constitutive law up to the complete decohesion. Numerical examples for one element model has been presented to see the effect of parameters on cohesive constitutive law

A bi-objective model for emergency services location-allocation problem with maximum distance constraint

In this paper, a bi-objective mathematical model for emergency services location-allocation problem on a tree network considering maximum distance constraint is presented. The first objective function called centdian is a weighted mean of a minisum and a minimax criterion and the second one is a maximal covering criterion. For the solution of the bi-objective optimization problem, the problem is split in two sub problems: the selection of the best set of locations, and a demand assignment problem to evaluate each selection of locations. We propose a heuristic algorithm to characterize the efficient location point set on the network. Finally, some numerical examples are presented to illustrate the effectiveness of the proposed algorithms

The association between physical activity and the metabolic syndrome among type 2 diabetes patients in Gaza strip, Palestine

Background: Metabolic syndrome is a major health problem worldwide. Globally, the World Health Organization identified physical inactivity as the fourth leading risk factor for mortality. This study was conducted to evaluate the association between physical activities and metabolic syndrome and diabetes complications among type 2 diabetes patients in Gaza Strip, Palestine.Methods: This cross-sectional study was conducted among 1200 previously diagnosed type 2 diabetes mellitus patients (from both genders, aged 20 to 64 years) receiving care in the primary health care centers. Metabolic syndrome was defined based on the International Diabetes Federation criteria. The International Physical Activity Questionnaire was used to measure physical activity. Statistical analysis was performed using SPSS version 20.Results: A significant inverse association was found between inactive patients and metabolic syndrome. In our study, 93.7% of inactive patients, 66.4% of active patients and 23.5% of very active patients had metabolic syndrome (OR .048 CI 95% (.03-.072)), (OR .787 CI 95% (.59-1.03)) and (OR 15.9 CI 95% (11.8-21.3)) respectively. Our results showed a significant inverse association between physical activity levels and anthropometric measurements in both gender. Moreover, a significant association was found between physical activity levels and triglycerides, HDL-cholesterol and blood pressure in both sexes (P value < 0.05 for all) and diabetes complications (P value < 0.05 for all).Conclusion: We conclude that low levels of physical activity are associated with increased prevalence of metabolic syndrome. Furthermore, inactive patients had a high percentage of diabetes complications among type 2 diabetes patients in Gaza Strip, Palestine.Keywords: Physical activity, metabolic syndrome, type 2 diabetes mellitus, Gaza, Palestin

Dietary patterns and metabolic syndrome among type 2 diabetes patients in Gaza Strip, Palestine

Background: The prevalence of metabolic syndrome is raising worldwide; however, the role of diet in the origin of metabolic syndrome is not understood well. This study identifies major dietary patterns among type 2 diabetes mellitus patients with and without metabolic syndrome; and its association with metabolic syndrome components in Gaza Strip, Palestine.Methods: This cross sectional study was conducted among 1200 previously diagnosed type 2 diabetes mellitus (both genders, aged 20 - 64 years) patients receiving care in primary healthcare centers in Gaza Strip, Palestine. Metabolic syndrome was defined based on the International Diabetes Federation criteria; dietary patterns were evaluated using a validated semi-quantitative food frequency questionnaire. Statistical analysis was performed using SPSS version 20.Results: Two major dietary patterns were identified by factor analysis: Asian-like pattern and sweet-soft drinks-snacks pattern. After adjustment for confounding variables, patients in the highest tertile of the Asian-like pattern characterized by a high intake of whole grains, potatoes, beans, legumes, vegetables, tomatoes and fruithad a lower odds for (Metabolic syndrome, central obesity, high triglycerides, low HDL cholesterol and high blood pressure), (OR 0.766 CI 95% (.642-.914)), (OR 0.797 CI 95% (.652-.974)), (OR 0.791 CI 95% (.687-.911)), (OR 0.853 CI 95% (.743-.978)) and (OR 0.815 CI 95% (.682-.973)) respectively, (P value < 0.05 for all). No significant association was found between the sweet-soft drinks-snacks pattern with metabolic syndrome and its components.Conclusion: The Asian-like pattern may be associated with a lower prevalence of metabolic syndrome and its components among type 2 diabetes patients.Keywords: Dietary patterns, Factor analysis, Metabolic syndrome, Type 2 diabetes mellitus, Palestin

An investigation on cognitive and behavioural effects of donepezil on autistic children in Winter 2020 in Gorgan Taleghani pediatric hospital

ObjectivesThe present investigation has been done to study the behavioraleffects of donepezil in autistic children, given that not much researchhas been carried out concerning using this drug for treating autism. Materials & MethodsA cross-sectional and analytic-descriptive study was done on twentypatients with autism, aged 4-17, who visited the neurology clinic of Gorgan’s Taleghani Pediatric Hospital and Yasha Pediatric Autism Clinic, Iran from 2019 to 2020. Demographic information, including sex, age, father’s education, mother’s education ,patient’s education, family status, other problems, and ethnicity, were documented using a checklist, having been filled in during interviews with the parents. Before the trial, ABC cognitive and behavioral tests were taken to determine the children’s current status. After the tests, these children received a daily dose of donepezil (10mg) before sleep for three months. At the end of the three months, the cognitive and behavioral tests were taken from the children once again. In order to analyze the effects of different factors on the studied variables, including irritability, lethargy, stereotypic behavior, hyperactivity, and inappropriate speech before and after the administration of donepezil in patients, a generalized linear model and to test the effects of donepezil on the studied variables, paired t-test was used. ResultsIn this study, twenty patients were registered for the investigation, 12 (60%) male and eight (40%) female. Age groups 5-6 had the highest frequency, and age group 17 had the lowest. Regardingthe parents’ education, the highest frequency was for bachelor’s degrees, and the lowest was for less-than-high school education and master’s degree. The highest frequency for the patients’ education was kindergarten (60%), and then groups without education (20%) and elementary school-level education (15%). Most of the studied patients (80%) did not have other problems besides autism, and only 20% had other problems besides autism. The family status of 15% of the families was ‘separated,’ and ethnically, most patients (80%) were Fars, while the rest (20%) were Turkmen. None of the analyzed factors (age, sex, father’s education, mother’s education, patient’s education, other problems, family status, and ethnicity) had a significant effect on the studied variables after the administration of donepezil. Among the studied variables prior to the administration of donepezil and among the analyzed factors, the father’s education, the patient’s education, other problems, and family status had only a significant effect on stereotypic behavior. The present research findings of the present research indicated that all the studied variables, including irritability, lethargy, stereotypic behavior, hyperactivity, and inappropriate speech, were significantly decreased toward the desired goal. The decreased amounts in irritability, lethargy, stereotypic behavior, hyperactivity, and inappropriate speech after the administration of donepezil were, respectively, 38%, 44%, 54%, 41%, and 54% and on average, these behaviors were reduced by 46%. ConclusionThe present investigation has shown that all the studied variables, including irritability, lethargy, stereotypic behavior, hyperactivity, and inappropriate speech, were significantly decreased towards the desired goal by 46%. This significant decrease is indicative of the effectiveness of the treatment of autism patients with donepezil, and therefore, this drug can be placed as a prominent and essential part of the medical therapy of autism. &nbsp

Occupational exposure to extremely low frequency magnetic fields and risk of Alzheimer disease : a systematic review and meta-analysis

Occupational exposure to extremely low frequency magnetic fields (ELF-MF) occurs in many occupations such as welders, electric utility workers, train drivers and sewing machine operators. There is some evidence suggesting ELF-MF exposure to be a risk factor for Alzheimer's disease (AD). The current study aims at systematically reviewing the literature and conducting a meta-analysis to evaluate the risk of AD amongst workers exposed to ELF-MF.; Bibliographic databases were searched including PubMed, EMBASE, Cochrane Library, and Web of Science in November 2017. Risk of bias was assessed in the all included studies. Pooled estimates were obtained using random-effects meta-analysis. In addition, sources of heterogeneity between studies and publication bias were explored.; In total, 20 articles met the inclusion criteria. The pooled results suggest an increased risk of AD (RR: 1.63; 95% CI: 1.35, 1.96). Higher risk estimates were obtained from case-control studies (OR: 1.80; 95% CI: 1.40, 2.32) than from cohort studies (RR: 1.42; 95% CI: 1.08, 1.87). A moderate to high heterogeneity (I; 2; = 61.0%) and indication for publication bias (Egger test: p <  0.001) were found.; The results suggested that occupational exposure to ELF-MF might increase the risk of AD. However, this suggestion should be interpreted with caution given the moderate to high heterogeneity and indication for publication bias