A contextual information based scholary paper recommender system using big data platform

Recommender systems for research papers have been increasingly popular. In the past 14 years more than 170 research papers,patents and webpageshave been published in this field. Scientific papers recommender systemsare trying to provide some recommendations to each user which are consistent with the users' personal interests based on performance, personal tastes and users behaviors.Since the volume of papers are growing day after day and the recommender systemshave not the ability for covering these huge volumes ofprocessing papers according to the users' preferences it is necessary to use parallel processing (mapping – reducing programming) for covering and fast processing of these volumes of papers. The suggested system for this research constitutes a profile for each paper which contains context information and the scope of paper. Then, the system will advise some papers to the user according to the user work domain and the papers domain. For implementing the system it has been used hadoop bed and the parallel programming because the volume of data was a part of a big data and the time was also an important factor. The performance of the suggested system was measured by the criteria such as user satisfaction and the accuracy and the results have been satisfactory.Keywords: Recommender systems; big data; Hadoop; contextual informatio

A paper recommender system based on user’s profile in big data scholarly

Users encounter a huge volume of papers in digital libraries and paper search engines such as IEEE Explore, ACM Digital library, Google scholar and etc. these high number of papers make some difficulties for researchers for finding proper information and items. Recommender systems contain successful tools for knowledge of users and identification of their priorities. These systems present a personalized proposal to users who seek to find a special kind of relevant data or their priorities through the big number of data. Recommendersystem based on personalization uses the user profile and in view of the fact that the user profile encompass information pertaining to the user priorities; so it is a very active district in data recovery. Recommendersystem is an attitude that presented in order to encounter difficulties caused by abundant data and it helps users to attain their goals quickly through huge number of data. In this paper, we have presented an approach that received entire of available information in a paper, and formed a profile for each user by short and long inquiries; this profile is personalized for user and then recommends the closest paperto the  user by the user profile. Findings indicate that suggested approach outperformsthe similar approaches.Keywords: recommender system; bigdata; user profile; content-based recommender system; hadoo

Radioimmunotherapy (RIT) in Brain Tumors

Annually, the incidence of brain tumors has slightly increased and also the patient prognosis is still disappointing, especially for high-grade neoplasms. So, researchers seek methods to improve therapeutic index as a critical aim of treatment. One of these new challenging methods is radioimmunotherapy (RIT) that involves recruiting a coupling of radionuclide component with monoclonal antibody (mAb) which are targeted against cell surface tumor–related antigens or antigens of cells within the tumor microenvironment. In the context of cancer care, precision medicine is exemplified by RIT; precision medicine can offer a tailored treatment to meet the needs for treatment of brain tumors. This review aims to discuss the molecular targets used in radioimmunotherapy of brain tumors, available and future radioimmunopharmaceutics, clinical trials of radioimmunotherapy in brain neoplasms, and eventually, conclusion and future perspective of application of radioimmunotherapy in neurooncology cancer care. © 2019, Korean Society of Nuclear Medicine

Are bisphosphonates effective in the treatment of osteoarthritis pain? A meta-analysis and systematic review.

Osteoarthritis (OA) is the most common form of arthritis worldwide. Pain and reduced function are the main symptoms in this prevalent disease. There are currently no treatments for OA that modify disease progression; therefore analgesic drugs and joint replacement for larger joints are the standard of care. In light of several recent studies reporting the use of bisphosphonates for OA treatment, our work aimed to evaluate published literature to assess the effectiveness of bisphosphonates in OA treatment

Imaging of the muscle and bone from benchtop to bedside

Studies have begun to show that muscles and bones play a role in the regulation of biological functions through a combination of biomechanical and biochemical signals. In vivo and ex vivo imaging techniques are crucial in the understanding of the morphology and architecture of muscle and bone for further understanding of musculoskeletal physiology and pathophysiology. This systematic review of the literature summarizes current knowledge and outlines new insights into the functions of muscle and bone elucidated by imaging techniques, with a focus on the recent advances in the musculoskeletal system enabled by novel technologies, such as CLARITY, Fast Free-of-Acrylamide Clearing Tissue (FACT), computed tomography (CT), and positron emission tomography (PET). This may serve as guidance for the development of new strategies to prevent and diagnose motor or metabolism disorders related to the malfunction of muscle and bone

Hydrobiological studies on selected creeks in east Hormozgan for shrimp culture pond purpose

The coastal ecosystem, which represents the boundary in between pelagic province and land, is a complex one. Since most probes of physico-chemical characteristic in coastal ecosystem are unstable, it affects the distribution and abundance of the biota in it. The aim of this project was to determine Hydro-biological studies on the important creeks of East Hormozgan for shrimp culture pond purpose. Three creeks was selected on east coast namely as (Azini, Jask and Khalasi) and three stations in every creek which situated at the mouth, middle and end of the creek. The work in the project is incorporated in living and nonliving characteristics; the sampling period was in four seasons of 1384. Water characteristic like temperature, pH, dissolved oxygen, biochemical oxygen demand (B.O.D), salinity, carbon dioxide(Co2), nitrate, nitrite, ammonia, phosphate, silicate, total dissolved solid (T.D.S), total suspended particle,(T.S.S) and hydrogen sulphide (H2s). The recorded mean of these parameters in Azini creek (25.5±1.05 c), (8.11±0.13), (7.21±0.82 mg/l), (2.3±0.73 mg/l), (38.07± 0.86 ppt), (12.4±1.8 mg/l), (3.12±2.8 μg/l), (0.27±0.19 μg/l), (1.39±0.99 μg/l), (0.27±0.22 μg/l),(9.78±5.36 μg/l), (28.2±2.1 g/l), (37.6±11 mg/l),(0.1±0.07 mg/l), Jask creek (27.5±1.1 c ), (7.96±0.33), (6.79±0.77 mg/l), (2.9±0.96 mg/l), (38.77± 1.68 ppt), (10.8±3.4 mg/l), (3.51±2.2μg/l), (0.2±0.15 μg/l), (2.13±1.48 μg/l), (0.55±0.42 μg/l), (13±6.3 μg/l), (38.8±1.9 g/l), (37.1±13 mg/l),(0.32±0.28 mg/l), and Khalasi creek (28.2±1.9 c), (8.04±0.16), (6.9±0.48 mg/l), (2.22±1.03 mg/l), (38.79± 1.46 ppt), (12 ±1.1 mg/l), (3.08±1.4 μg/l), (0.2±0.14 μg/l), (1.41±0.65 μg/l), (0.45±0.39 μg/l), (13.3±4.2 μg/l), (38±3.5 g/l), (35.3±9 mg/l),(0.08±0.04 mg/l), respectively. The range of Total Organic Matter and Total Phosphor of sediment in Azini creek recorded as (4.99-10.57), (0.4-1.73), Jask creek (2.57-5.89), (0.0-1.99) and Khalasi creek (5.23-6.89), (0.59-1.09) respectively. Comparison of concentration mean between three creek shows there was significant difference between Temperature , pH, Dissolved Oxygen, Salinity, free Carbon dioxide, Silicate, Phytoplankton and Zooplankton (P<0.05. Phytoplankton with (31 genera from 3 families),(34genera from 4 families) and (38 genera from 3 families) were recorded in Azini, Jask and Khalasi creeks respectively. Zooplankton with 12, 12, and 10 group was present in Azini, Jask and Khalasi creeks. Macrofauna with (54 species from 38 families and 20 Order), (35species from 25 families and 17 Order) and (51 149 species from 39 families and 20 Order) were recorded from Azini, Jask and Khalasi creeks respectively. Minimum and Maximum density of phytoplankton in Azini, Jask and Khalasi creeks were (63-22914), (68-94320) and (280-5523) in liter, Zooplankton (193048-226337), (36750-713753) and (32625-489532) in m^3 and Macrofauna (6400-11357), (8375-24800), and (900-12473) in m^2, Total Count (90-3400), (70-22150), and (0-2250) in one gram sediment and Total Vibrio (43-2400), (15-2400) and (25-460) in one gram sediment respectively

Laboratories risks evaluation of Persian Gulf and Oman Sea Ecological Research Center

In this study, to assess and classify risks associated with working in the laboratories of Persian Gulf and Oman Sea Ecological Research Center, the method of "Failure Mode Effects Analysis" (FMEA) as well as some statistical methods were used. The results of the risk assessment in the 11 affiliated laboratories showed that the risk levels in all cases, except for benthos laboratory, could be evaluated as moderate or high and therefore appropriate corrective actions must be implemented. Based on the results of the Kruskal-Wallis tests both before and after the corrective actions, there were significant differences between the laboratories from the viewpoint of risk priority number (RPN). The post hoc tests showed the lowest risk levels for the benthose and histology laboratories, while the highest risks identified in the laboratory of instrumental analysis. The results of the classification of the laboratories using cluster analysis are largely similar to those of the posthoc tests. According to Mann-Whitney U test, only in the case of the samples preparation laboratory, significant differences between the values of the RPN before and after the corrective actions could be observed (p> 0.05), however, the risk levels still remained high. In general it can be concluded that FMEA is an effective method for risk assessment in the research laboratories and appropriate statistical methods can also be used for complementary analysis