An integrated coordination scheduling problem considering production and distribution in integrated energy enterprise aims at coordinating the production Plan and distribution Plans to eliminate the conflict between them. The research is motivated by the challenges encountered in the practice. Practice has indicated that conflicts are common existing among the Plans which are made by production and distribution departments respectively. We propose a scheduling model which considers two aspects. On one hand, we try to maximize the company profit. On the other hand, we expect to minimize the difference between the separate Plans and the coordinating ones. A genetic algorithm is developed to solve this problem. A case study of the largest integrated energy enterprise in China shows that once conflicts occurs in separate Plans, the most effective way to adjust the separate Plans from a global perspective that has strong coordinating relationships with the overall interests. The proposed model would neutralize the influence of the conflict.

The importance of the proper implementation of the Groundwater Revival Plan (GRP) as one of the key approvals of the Supreme Water Council has been doubled due to the escalation of the groundwater crisis in most of Iran's aquifers. Therefore, the implementation of GRP principles is the only way to overcome the crisis and the related challenges. In this study, the management crisis of Iran's groundwater resources is re-evaluated from the perspective of the administrative, social, and legal system with the GRP challenging approach. Then, the best-worst fuzzy multi-criteria decision model in Lingo9 software is developed by collecting the opinions of 23 GRP experts, based on three general criteria of change in administrative structure (C1), policy structure (C2) and modification of GRP legal structure (C3), which includes 18 sub-criteria. The results showed that timely and appropriate allocation of financial resources (S22), creating incentive packages for farmers to improve the cultivation pattern (S23) and creating serious efforts at all levels of management in the field of implementation, continuity, and removal of obstacles (S21) respectively with weights. 0. 2247, 0. 1098, and 0. 0946-with more than 40% of the total importance-occupy the first to third ranks.

The importance of the proper implementation of the Groundwater Revival Plan (GRP) as one of the key approvals of the Supreme Water Council has been doubled due to the escalation of the groundwater crisis in most of Iran's aquifers. Therefore, the implementation of GRP principles is the only way to overcome the crisis and the related challenges. In this study, the management crisis of Iran's groundwater resources is re-evaluated from the perspective of the administrative, social, and legal system with the GRP challenging approach. Then, the best -worst fuzzy multi - criteria decision model in Lingo9 software is developed by collecting the opinions of 23 GRP experts, based on three general criteria of change in administrative structure (C1), policy structure (C2) and modification of GRP legal structure (C3), which includes 18 sub-criteria. The results showed that timely and appropriate allocation of financial resources (S22), creating incentive packages for farmers to improve the cultivation pattern (S23) and creating serious efforts at all levels of management in the field of implementation, continuity, and removal of obstacles (S21) respectively with weights. 0.2247, 0.1098, and 0.0946 - with more than 40% of the total importance - occupy the first to third ranks.

Background and Objective: Today, contractors are required to submit an HSE Plan before starting a project, and HSE officials in organizations must be able to develop an HSE Plan. Due to the lack of a specific format for the development of the HSE Plan, to avoid personal preferences, save time and money, and include the necessary parts, the present study aimed to provide a consistent model for users to develop a specific HSE-Plan using suitable software. Materials and Methods: First, the main framework of HSE-Plan was determined by searching various databases and including expert opinions. In the next step, the idea generation and design of the portal were done. Afterward, the required basic information was entered into the program and different parts of the program were designed according to the requirements of each section. Finally, the software was validated by testing it in a provincial power distribution company. Results: According to the input options, as well as the subject of the project and its specific requirements, the outputs were designed to suit different projects, and after entering the required information for each section, the output HSE-Plan was displayed. Conclusion: This software helps the user to define appropriate goals and policies for the organization and identify the relevant requirements by entering information such as risk assessment data and the results of occupational accidents, and finally the collection of these materials creates the Plan required by users.

Background: The High Resolution Melting (HRM) method is a new scanning method for detecting unknown changes in DNA and its advantages have persuaded researchers to recruit it as a screening method. Objectives: Here, we developed a HRM method to screen R188H SNP (rs3218536) of XRCC2 and compared the results with a well known PCRRFLP technique.Materials and Methods: Genomic DNA samples from 350 healthy individuals were obtained. PCR-HRM analysis and PCR-RFLP method were performed simultaneously.Results: Three different melting profiles corresponding to three different genotypes recognized by HRM analysis. The results of PCR-RFLP showed no discrepancy. Conclusions: We concluded that the HRM technique can be used as a screening method for rapid discrimination of R188H genotypes in XRCC2 gene.

Background and Objectives: Knee joint as the largest synovial joint in the body, consists of the lateral collateral ligament, cruciate ligament, and medial and lateral meniscus. For proper management, identification of damage to any structures of the knee is necessary. In this study, snsitivity, specificity, and diagnostic accuracy of high Resolution CT scan in meniscal lesions, were assessed. Methods: In this test accuracy assessment study, 57 patients with a history of positive meniscus lesion, who referred to Ayatollah Mousavi Hospital of Zanjan city from 2015 to 2016, were investigated by magnetic resonance imaging, high Resolution computed tomography, and arthroscopy. Magnetic resonance imaging and high Resolution computed tomography data, were compared to knee arthroscopy as the diagnosis gold standard. Kappa (κ ) correlation coefficient was used to calculate the consistency of the tests. Results: Out of the 57 patients presented with meniscal lesion, 52 patients (91. 2%) were male and 5 patients (8. 8%) were female. The highest incidence of meniscal lesions was in ages from 21 to 30 years. Among the causes of meniscal lesions, exercise with prevalence of 47. 9%, was the most prevalent cause of injury. In comparison with arthroscopy, the sensitivity, specificity, and accuracy of high Resolution computed tomography were determined to be 64. 7%, 55%, and 60%, respectively, and for magnetic resonance imaging were 85. 2%, 50%, and 77. 5%, respectively. Conclusion: According to the results of the present study, specificity, sensitivity, and accuracy of high Resolution computed tomography in the diagnosis of meniscal lesions, was lower than the previous studies.

Generating an orthoimage from high-Resolution satellite images is an important undertaking for various remote sensing and photogrammetric applications. In this paper, a method is proposed that uses Artificial Neural Networks (ANN) to generate orthoimage lkonos Geo images. For orthoimage generation, a Digital Elevation Model (DEM) with a cell size of 4 m and RMS error of 0.24 m is constructed with neural networks, based on a Quad Tree (QT) structure. In order to determine object-to-image relationships, rational function models, polynomials and neural networks with back propagation learning algorithms were used. Ground Control Points (GCPs) and check points were taken from topographic maps of 1:2000, with a contour interval of 2.5 m, to evaluate the accuracy of DEM and object-to-image transformations. The method described in this paper is tested with an lkonos Geo image from a region of Bilesavar, Iran.

In this paper, a CODEC system based on super Resolution, is proposed for compression of high Resolution textual images. It employs image resizing to decrease image dimensions and consequently, to improve the compression ratio; but at the other hand, it may reduce the image quality. Therefore, the decompression unit employs super Resolution to simultaneously increase the reconstructed image dimensions and quality. In the employed interpolation-based super-Resolution method, using an efficient textual image matting algorithm, the input low-Resolution textual image is decomposed into three layers after which, each layer is enlarged using a particular method. Finally, the enlarged layers are combined to build the high Resolution reconstructed textual image. An interesting feature of the proposed method is the ability to use existing compression methods such as JPEG, JPEG2000 and SPIHT. We have employed the aforementioned compression methods in the proposed CODEC system and evaluated the compression results with respect to OCR rate, Mean Opinion Score (MOS), and PSNR measures. Considering the OCR and MOS measures, the proposed method outperformed the others but not so with respect to PSNR.