An advanced computational intelligent framework to predict shear sonic velocity with application to mechanical rock classification

Shear sonic wave velocity (Vs) has a wide variety of implications, from reservoir management and development to geomechanical and geophysical studies. In the current study, two approaches were adopted to predict shear sonic wave velocities (Vs) from several petrophysical well logs, including gamma ray (GR), density (RHOB), neutron (NPHI), and compressional sonic wave velocity (Vp). For this purpose, five intelligent models of random forest (RF), extra tree (ET), Gaussian process regression (GPR), and the integration of adaptive neuro fuzzy inference system (ANFIS) with differential evolution (DE) and imperialist competitive algorithm (ICA) optimizers were implemented. In the first approach, the target was estimated based only on Vp, and the second scenario predicted Vs from the integration of Vp, GR, RHOB, and NPHI inputs. In each scenario, 8061 data points belonging to an oilfield located in the southwest of Iran were investigated. The ET model showed a lower average absolute percent relative error (AAPRE) compared to other models for both approaches. Considering the first approach in which the Vp was the only input, the obtained AAPRE values for RF, ET, GPR, ANFIS + DE, and ANFIS + ICA models are 1.54%, 1.34%, 1.54%, 1.56%, and 1.57%, respectively. In the second scenario, the achieved AAPRE values for RF, ET, GPR, ANFIS + DE, and ANFIS + ICA models are 1.25%, 1.03%, 1.16%, 1.63%, and 1.49%, respectively. The Williams plot proved the validity of both one-input and four-inputs ET model. Regarding the ET model constructed based on only one variable,Williams plot interestingly showed that all 8061 data points are valid data. Also, the outcome of the Leverage approach for the ET model designed with four inputs highlighted that there are only 240 "out of leverage" data sets. In addition, only 169 data are suspected. Also, the sensitivity analysis results typified that the Vp has a higher effect on the target parameter (Vs) than other implemented inputs. Overall, the second scenario demonstrated more satisfactory Vs predictions due to the lower obtained errors of its developed models. Finally, the two ET models with the linear regression model, which is of high interest to the industry, were applied to diagnose candidate layers along the formation for hydraulic fracturing. While the linear regression model fails to accurately trace variations of rock properties, the intelligent models successfully detect brittle intervals consistent with field measurements

Impact assessment of master plan of "attain to technical knowledge of specific pathogen free shrimp production and cut off to dependence on foreign products" on Bushehr city environment: A case study, Shoghab research station

This study is a part of the national and technology master plan entitled "Attain to technical knowledge of specific pathogen free shrimp production and cut off to dependence on foreign products". The goals of this work were to assess the environmental effects of Specific Pathogen Free shrimp production complex on surrounded region in Persian Gulf (Shoghab) research station in Bushehr city. The environmental impacts were assessed in Persian Gulf (Shoghab) research station in Bushehr city by usage of simple checklist for impacts prediction, and scaling check list for assessment during Feb 2012 till Sep 2014. Flushing the effluents to the sea is the biggest concern of this project that can resulted in health impacts on aquatic and human communities that can be avoided by treatment. Low diversity in activities beside lack of environmental sensitive elements in the region leads us to use of scaling check list for impact assessment. Environmental grade of each activity can be achieved by stratification of them according to their intensity, significance and scale. We reached +320 and -198 for positive and negative points respectively that sounds a clear yes for execution choice

Safety and effectiveness of high-dose vitamin C in patients with COVID-19: a randomized open-label clinical trial

Background: Vitamin C is an essential water-soluble nutrient that functions as a key antioxidant and has been proven to be effective for boosting immunity. In this study, we aimed to assess the efficacy of adding high-dose intravenous vitamin C (HDIVC) to the regimens for patients with severe COVID-19 disease. Methods: An open-label, randomized, and controlled trial was conducted on patients with severe COVID-19 infection. The case and control treatment groups each consisted of 30 patients. The control group received lopinavir/ritonavir and hydroxychloroquine and the case group received HDIVC (6 g daily) added to the same regimen. Results: There were no statistically significant differences between two groups with respect to age and gender, laboratory results, and underlying diseases. The mean body temperature was significantly lower in the case group on the 3rd day of hospitalization (p = 0.001). Peripheral capillary oxygen saturations (SpO2) measured at the 3rd day of hospitalization was also higher in the case group receiving HDIVC (p = 0.014). The median length of hospitalization in the case group was significantly longer than the control group (8.5 days vs. 6.5 days) (p = 0.028). There was no significant difference in SpO2 levels at discharge time, the length of intensive care unit (ICU) stay, and mortality between the two groups. Conclusions: We did not find significantly better outcomes in the group who were treated with HDIVC in addition to the main treatment regimen at discharge. Trial registration irct.ir (IRCT20200411047025N1), April 14, 2020 © 2021, The Author(s)

A Comparative Study on Performance Measurement of Decision-Making Units: A Case Study in Iranian Tejarat Banks

Nowadays, vicissitude in administrative systems through Performance Measurement PM is one of the necessary and inevitable subjects, on which the improvement of efficiency and effectiveness in banking systems depend greatly. In this paper, we focused on efficiency analysis of Tejarat bank branches in order to propose the corrective actions on utilizing resources. Hence, we compute the efficiencies of units based on input-oriented CCR model with three approaches which differ on combination method of inputs and outputs and then rank them by Anderson & Peterson AP model. The results represent that the CCR model based on confined fuzzy weights presents the high level of accuracy in identifying efficient units as well as giving useful information on improving the inefficient branches

Type I diabetes self-management: Developing a web-based telemedicine application

Background: Self-management skills are essential for patients with diabetes mellitus to minimise the risks of complications from their condition. The aim of this research was to develop a web-based application for self-management of type 1 diabetes, suitable for use by patients, their carers and physicians. Method: The study was comprised of two phases, the first being analysis of the kind of information and capabilities required by potential users of the system. Based on the results derived from the first phase of the study, the system prototype was designed and then evaluated using the �think aloud� method and a standard questionnaire. The application was designed for use by patients, their carers and physicians. Patients could enter the level of blood glucose, insulin and activities on a daily basis, and physicians were able to supervise a patient�s health status from a distance. Results: Users were generally satisfied with the final version of the system. People with a wide range of literacy skills were able to use the system effectively. Conclusion: Patients or their carers could use the web-based application as a log book by entering the level of blood glucose and insulin doses on a regular basis, and as an educational resource to improve self-management skills. Physicians could use the system at any time convenient to them to support patients by giving medical advice. Further research is needed to report the effectiveness of the system in practice. � The Author(s) 2016

Economic Crisis and Banking Crisis

This research first presents a typology of various financial crises - the currency crisis, the debt crisis, the balance of payments crisis, and the banking crisis - and sets out criteria for measuring them. It then provides a specific definition of the banking crisis, and it examines the plurality and frequency of occurrence of bank crises at different times and in different countries. In the following, the coincidence and sequence of the banking crisis with other forms of financial crisis have been analyzed statistically. Then, the consequences of the banking crisis are estimated and estimates of the cost of the banking crisis in the countries that have suffered

Crisis Management: Financial Crisis and Fund Combination

The main purpose of this research is to investigate the relationship between the financial crisis and fund structure in companies admitted to Stock Exchange during the period of 2001-2017. To collect theoretical foundations of this research, the library method and to collect statistical information from financial statements and notes It has been used along with it. In terms of purpose, the research method is applied research, in terms of substance and content, is a correlation type that is used to explore the correlation between variables by the post-event method. The results of information analysis show that there is a significant relationship between financial crisis and fund combination, and the financial crisis has a positive effect on the fund combination of the company, as well as the findings from the sub-hypotheses, which shows that the observed effect and the growth of corporate assets have a negative effect on the structure have to fund

Passive Defense: Measuring and Evaluating Urban Vulnerability with Resilience Approach

The purpose of the present research is to measure the level of urban safety based on the principles of passive defense, urban leveling based on the degree of vulnerability, the urban infrastructure dispersal pattern and important decision-making organizations in the city. The study is based on the urban environment, which has been used to measure the vulnerability of the city during the onset of war by using spatial indices influencing safety

Retracted: Social factors affecting personality disorders

This article was withdrawn and retracted by the Journal of Fundamental and Applied Sciences and has been removed from AJOL at the request of the journal Editor in Chief and the organisers of the conference at which the articles were presented (www.iccmit.net). Please address any queries to [email protected]