Investigating the effect of fractures on unusual gas emission in coal mines; case study of Parvadeh coal mine, Iran

In the present study, an investigation was carried out on Parvadeh coal mine in Tabas, Iran, to survey the effect of fractures on unusual methane gas emission in coal mines. This coal mine was chosen for investigating because of its high methane gas content in the coal body and available data from sensors in desired locations. Gas concentration monitoring programs were carried out at the mine site and a large amount of data were collected and analyzed. It is revealed that there is a good correlation between excavating fracture-bearing faces and high methane gas emission events at the mine site. High gas emissions have been observed before, during, or after excavating fracture-bearing faces. When gas content is high and all boundary conditions are met, rockbursts, faults movement and also mining activities can trigger unusual gas emission, and sometimes the gas gushes are violent enough to fit into the category of gas outbursts. Since the fracture generation is happening before the increase of gas concentration in the air, a sensitive and highly accurate microseismic monitoring system can be used to detect locations of rock fracturing, thus provide an effective means to issue warnings of high gas emission in the working area

Investigating relationship of talent management and organizational entrepreneurship

Introduction: talent management is a comprehensive strategy and an approach to international human resource practices and a commitment to widespread sharing of the belief that human resource is a priority and a source of competitive advantage. Talent management ensures the organizations that competent individuals with the right skills have taken the right position. The aim of this study was to investigate the relationship between talent management and organizational entrepreneurship. Methodology: The present study is an applied one in terms of its nature and purpose, and it is a descriptive and correlational one in terms of the data collection method to test the hypothesis. The population of this study included experts, officials, supervisors and middle and top managers of Golestan province Gas Company who have at least 7 years’ experience. Accordingly, a total number of 51 participated in the study. A questionnaire was used to collect data. Data analysis was carried out through SPSS software for descriptive data and SMART PLS software for inferential data. Results: This study shows that there is a significant positive relationship between talent management and organizational entrepreneurship, and components of each of the main criteria also have a significant relationship with each other. Conclusion: The findings suggest that managers should improve their organization's talent management system in order to increase innovation and competitiveness. These systems can complete and implement various initiatives by creating opportunities to achieve talent resources and providing transparency in selection criteria

Germline mutation at codon 1309 of the adenomatous polyposis coli gene and exteracolonic manifestations in familial adenomatous polyposis

Background: Familial adenomatous polyposis (FAP) is the most common components polyposis syndromes. It incidence is for less than 1 percent of colorectal cancer cases. FAP is characterized by germline mutations in the adenomatous polyposis coli (APC) gene. Generally, there are hundreds to thousands of adenomatous polyps in colon and rectum of patients. The aim of the current study was to evaluate the germline mutation at codon 1309 of the APC gene and its association with extracolonic manifestations in Iranian patients with FAP. Methods: This Cross-sectional study was conducted at the Gastroenterology and Liver Diseases Research Center, Taleghani Hospital, Tehran, Iran from July 2012 to February 2015. In this study, thirty-three patient with FAP was examined. Demographic and clinical data were gathered from patients. In addition, peripheral blood samples were collected to study the most common mutations of the APC gene and bidirectional sequencing was carried out after genomic DNA extraction by salting out method. Primers were designed by GeneRunner version 5.0.4 (http://www.generunner.com). The samples were run on an applied biosystems 3130XL genetic analyzer. The results were analyzed by SPSS software, version 23 (IBM, Armonk, NY, USA). Results: After analyzing the mutation cluster region (MCR), we have identified five germline mutations with 5bp deletion at codon 1309 of the APC gene (c.3927_3931delAAAGA), that it is equivalent to 15.2% (5.33). This mutation has been known as a small deletion, that it is a variant of frameshift mutation. Mutation at codon 1309 has significant association with clinical and pathological features including the number of polyps (P=0.001), duodenum demonstration (P=0.008), fundic gland polyp (P=0.002) and congenital hypertrophy of the retinal pigment epithelium (P=0.021). Conclusion: The analysis of the findings has shown that mutation in Codon 1309 of adenomatous polyposis coli gene may be associated with severe polyposis and extracolonic manifestations. In conclusion, there may be a correlation between a specific germline mutation and the extracolonic manifestations

Assessment of prospective areas for providing the geochemical anomaly maps of lead and zinc in Parkam district, Kerman, Iran

There are several statistical methodologies presented for separating anomalous values from background leading to determination of anomalous areas. These methods range from simple approaches to complicated ones and include nonstructural and structural methods, subtraction separation method and so on. Structural methods take the sampling locations and their spatial relation into account for estimating the anomalous areas. The U-statistic method is one of the most important structural methods. It considers the location of samples and carries out the statistical analysis of the data without judging from a geochemical point of view and tries to separate subpopulations and also to determine anomalous areas. In the present study, several nonstructural methods including assessment of threshold based on median and standard deviation, median absolute deviation (MAD) and P.N product are used and U-statistic is considered as structural method to assess prospective areas of Parkam district. Results show that MAD method reduced background well and P.N method increased correlation of points. However, U-statistic method plays the role of both mentioned advantages meaning in addition to reducing outlier data effect, it regularizes anomalous values and also their dispersion is reduced significantly. It is possible to determine anomaly areas according to anomalous samples positioning so that denser areas are more important. Finally, lithogeochemical map of study area is provided for lead and zinc