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Assessment of dairy products consumed on the Arakmarket as determined by heavy metal residues

Health 2014年第5期6卷 323-327页

作者： Mohammad Rezaei Hajar Akbari Dastjerdi Hassan Jafari Ali Farahi arman shahabi Hossein Javdani Hossein Teimoory Mohammad Yahyaei Ali Akbar Malekirad Arak University of Medical Sciences Arak Iran Department of Biology Payame Noor University Tehran Iran Department of Food Safety and Hygiene School of Public Health Tehran University of Medical Sciences (TUMS) Tehran Iran Department of New Sciences and Technologies Life Science Engineering Group University of Tehran Tehran Iran Department of Veterinary School of Veterinary Shahid Bahonar University of Kerman Kerman Iran Soren Tech Toos Laboratory Food & Biotechnology North East Town Toos Industrial Town Mashhad Iran

Dairy products are nutritious drink and can play a significant part in a healthy diet. The safety of dairy products decreases with increasing concentration of toxic compounds and environmental pollutants (especially heavy metals). In the present study, the contamination of Al, Sn, As, Cd, Hg and Pb in dairy products (pasteurized milk, yogurt, yogurt drink, cheese) consumed in Arak, Iran, 2013 was evaluated using inductively coupled plasma mass spectrometry (ICP-SFMS) method. To meet the aim, 60 samples of 5 different brands, consisting of pasteurized milk, yogurt, yogurt drink, cheese (n = 15) were selected and analyzed for heavy metals content. 100% of the samples were positive regarding the total average and range concentration of Al, Sn, As, Cd, Hg and Pb in dairy products was 168.25 ± 92.2 (30.6 - 356.5), 5.9 ± 4 (1.1 - 16), 3.2 ± 1.95 (0.4 - 8.1), 4.55 ± 2.6 (0.6 - 10.6), 23.15 ± 10.4 (6.8 - 50.2) and 15.4 ± 8.53 (3.1 - 40.2) μg/kg, respectively. 28.3% (17 of 60 samples) of dairy products samples had lead (Pb) greater than EU limit and national Iranian standard (20 μg/kg). Statistical analysis indicated except about As in pasteurized milk and cheese there was no significant difference between products in terms of heavy metals content.

关键词： Heavy Metals Milk Cheese Yogurt Food Safety ICP

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Partial discharge detection and identification at low air pressure in noisy environment

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High Voltage 2021年第5期6卷 850-860页

作者： Ali Nasr Esfahani Saeed shahabi Behzad Kordi Department of Electrical and Computer Engineering University of ManitobaWinnipegManitobaCanada

Increasing demand for electric power in more electric aircraft requires a higher operating voltage for the power system that leads to higher electric stress on the insulation *** at high altitudes where the electrical strength of air is weakened exposes the insulation system to even higher levels of electrical *** such,the probability of partial discharges(PD),which result in insulation degradation and failure,is *** presence of switching circuits in the power distribution system of the more electric aircraft is capable of producing high levels of *** noise in combination with the background noise and parasitic impedances will cause high amplitude ringing in the measured partial discharge signal ***,a method based on the combination of the wavelet and energy techniques is employed to detect PD pulses in a noisy environ-ment under the low air pressure *** verify the technique,a laboratory setup consisting of two separate PD sources mounted in low air pressure(33 kPa)chamber is developed where sine and square waveforms are used as the applied *** ob-tained results demonstrate that the proposed approach offers low computational complexity,high performance in PD phase localization,and robustness in a noisy environment.

关键词： insulation mounted noisy

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Collar performance in bridge pier scour with debris accumulation

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International Journal of Sediment Research 2022年第3期37卷 328-334页

作者： Hossein Hamidifar Seyed Mohammad Bagher shahabi-Haghighi Yee Meng Chiew Water Engineering Department Shiraz University School of Civil and Environmental Engineering Nanyang Technological University

The mechanism of bridge pier scour becomes more complex in the presence of debris accumulation upstream of the pier. While using countermeasures may be effective in reducing scour, their efficacy could be undermined in such a situation. The current study investigates the effectiveness of using a collar in the presence of different types of floating debris accumulation in reducing scour around a cylindrical bridge pier with non-cohesive bed sediment. The experimental results reveal that using a collar can reduce the scour depth by up to 39% when compared to that without the collar in the absence of debris accumulation under the same flow conditions. Also, the collar’s efficiency is reduced by up to 25% when debris accumulation is present. However, depending on the relative size of the accumulated debris and collar, the effectiveness of collars may be increased as a pier-scour protection device. A new parameter,which is defined as the Debris Protrusion Ratio(DPR), is used to quantify the effect of debris layout size on scour depth. Moreover, a semi-empirical equation that may be used to predict the depth of the scour hole that forms around cylindrical collar-fitted piers with floating debris accumulation is proposed. The equation’s performance is evaluated using the available data in the literature. Based on the analysis, the current study shows that the accuracy of the proposed equation is satisfactory in predicting the maximum scour depth.

关键词： Bridge pier Scour Debris Collar Blockage

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Herd-prevalence of Coxiella burnetii(Q fever) antibodies in dairy cattle farms based on bulk tank milk analysis

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Asian Pacific Journal of Tropical Medicine 2011年第1期4卷 58-60页

作者： Mohammad Khalili Ehsanollah Sakhaee Mohammad Reza Aflatoonian Naser shahabi-Nejad Research Center of Tropical and Infectious Diseases Kerman University of Medical SciencesKermanIran Department of Pathobiology School of Veterinary MedicineShahid Bahonar University of KermanIran Department of Clinical Sciences School of Veterinary MedicineShahid Bahonar University of KermanIran

Objective:To determine the prevalence of Coxiella burnetii(***) antibody positive randomly selected dairy herds in southeast Iran(Kerman).Methods:Bulk tank milk samples were collected randomly from 44 sufficiently large commercial dairy herds,included near 12 000 dairy cattle,in Kerman(The largest province of Iran),southeast *** samples were tested for antibodies against *** using the commercial CHEKIT(?) Q fever antibody ELISA Test Kit(Idexx,Liebefeld-Bern,Switzerland).Results:The prevalence of positive,negative and intermediate herds were 45.4%,43.2%and 11.4%,***:The result supports the hypothesis of high prevalence and endemic pattern of Q fever in *** investigation highlights the importance of further studies on Q fever in Iran.

关键词： Q fever Coxiella burnetii Bulk tank milk Dairy cattle ELISA Iran

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Combination therapy using evening primrose oil and electrical stimulation to improve nerve function following a crush injury of sciatic nerve in male rats

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Neural Regeneration Research 2017年第3期12卷 458-463页

作者： Omid Badri Parviz shahabi Jalal Abdolalizadeh Mohammad Reza Alipour Hadi Veladi Mehdi Farhoudi Mohsen Sharif Zak Tabriz University of Medical Sciences International Branch ArasTabrizIran Neuroscience Research Center Tabriz University of Medical SciencesTabrizIran Immunology Research Center Tabriz University of Medical SciencesTabrizIran Drug Applied Research Center Tabriz University of Medical SciencesTabrizIran Microsystem Fabrication Laboratory Tabriz UniversityTabrizlran Department of Biochemistry Faculty of MedicineTabriz University of Medical SciencesTabrizIran

Peripheral nerve injuries with a poor prognosis are *** primrose oil（EPO） has beneficial biological effects and immunomodulatory *** electrical activity plays a major role in neural regeneration,the present study investigated the effects of electrical stimulation（ES）,combined with evening primrose oil（EPO）,on sciatic nerve function after a crush injury in *** anesthetized rats,the sciatic nerve was crushed using small haemostatic forceps followed by ES and/or EPO treatment for 4 *** recovery of the sciatic nerve was assessed using the sciatic functional *** changes of gastrocnemius muscle atrophy were investigated by light *** changes were assessed by the nerve conduction velocity of sciatic *** was used to determine the remyelination of the sciatic nerve following the *** ＋ ES,EPO,and ES obviously improved sciatic nerve function assessed by the sciatic functional index and nerve conduction velocity of the sciatic nerve at 28 days after *** of the peripheral nerve remyelination marker,protein zero（P0）,was increased in the treatment groups at 28 days after *** atrophy severity was decreased significantly while the nerve conduction velocity was increased significantly in rats with sciatic nerve injury in the injury ＋ EPO ＋ ES group than in the EPO or ES *** speaking,the combined use of EPO and ES may produce an improving effect on the function of sciatic nerves injured by a *** increased expression of P0 may have contributed to improving the functional effects of combination therapy with EPO and ES as well as the electrophysiological and histopathological features of the injured peripheral nerve.

关键词： nerve regeneration peripheral nerve injury sciatic nerve injury evening primrose oil electrical stimulation sciatic functional index cuff electrode neural regeneration

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Deep learning neural networks for spatially explicit prediction of flash flood probability

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Geoscience Frontiers 2021年第3期12卷 370-383页

作者： Mahdi Panahi Abolfazl Jaafari Ataollah Shirzadi Himan shahabi Omid Rahmati Ebrahim Omidvar Saro Lee Dieu Tien Bui Geoscience Platform Research Division Korea Institute of Geoscience and Mineral Resources(KIGAM)124Gwahak-ro Yuseong-guDaejeon 34132Republic of Korea Division of Science Education Kangwon National UniversityChuncheon-siGangwon-do 24341Republic of Korea Research Institute of Forests and Rangelands Agricultural ResearchEducationand Extension Organization(AREEO)Tehran 13185-116Iran Department of Rangeland and Watershed Management Faculty of Natural ResourcesUniversity of KurdistanSanandaj 66177-15175Iran Department of Geomorphology Faculty of Natural ResourcesUniversity of KurdistanSanandajIran Kordestan Agricultural and Natural Resources Research and Education Center Agricultural ResearchEducationand Extension Organization(AREEO)SanandajIran Department of Rangeland and Watershed Management Faculty of Natural Resources and Earth SciencesUniversity of KashanKashan 87317-53153Iran Department of Geophysical Exploration Korea University of Science and Technology217 Gajeong-roYuseong-guDaejeon 34113Republic of Korea Institute of Research and Development Duy Tan UniversityDa Nang 550000Viet Nam Department of Zrebar Lake Environmental Research Kurdistan Studies InstituteUniversity of KurdistanSanandajIran

Flood probability maps are essential for a range of applications,including land use planning and developing mitigation strategies and early warning *** study describes the potential application of two architectures of deep learning neural networks,namely convolutional neural networks(CNN)and recurrent neural networks(RNN),for spatially explicit prediction and mapping of flash flood *** develop and validate the predictive models,a geospatial database that contained records for the historical flood events and geo-environmental characteristics of the Golestan Province in northern Iran was *** step-wise weight assessment ratio analysis(SWARA)was employed to investigate the spatial interplay between floods and different influencing *** CNN and RNN models were trained using the SWARA weights and validated using the receiver operating characteristics *** results showed that the CNN model(AUC=0.832,RMSE=0.144)performed slightly better than the RNN model(AUC=0.814,RMSE=0.181)in predicting future ***,these models demonstrated an improved prediction of floods compared to previous studies that used different models in the same study *** study showed that the spatially explicit deep learning neural network models are successful in capturing the heterogeneity of spatial patterns of flood probability in the Golestan Province,and the resulting probability maps can be used for the development of mitigation plans in response to the future *** general policy implication of our study suggests that design,implementation,and verification of flood early warning systems should be directed to approximately 40%of the land area characterized by high and very susceptibility to flooding.

关键词： Spatial modeling Machine learning Convolutional neural networks Recurrent neural networks GIS Iran

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Flash flood susceptibility mapping using a novel deep learning model based on deep belief network,back propagation and genetic algorithm

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Geoscience Frontiers 2021年第3期12卷 146-168页

作者： Himan shahabi Ataollah Shirzadi Somayeh Ronoud Shahrokh Asadi Binh Thai Pham Fatemeh Mansouripour Marten Geertsema John J.Clague Dieu Tien Bui Department of Geomorphology Faculty of Natural ResourcesUniversity of KurdistanSanandaj 66177-15175Iran Board Member of Department of Zrebar Lake Environmental Research Kurdistan Studies InstituteUniversity of KurdistanSanandaj 66177-15175Iran Department of Rangeland and Watershed Management Faculty of Natural ResourcesUniversity of KurdistanSanandajIran Data Mining Laboratory Department of EngineeringCollege of FarabiUniversity of TehranTehranIran Institute of Research and Development Duy Tan UniversityDa Nang 550000Viet Nam British Columbia Ministry of ForestsLandsNatural Resource Operations and Rural DevelopmentPrince GeorgeBC V2L 1R5Canada Department of Earth Sciences Simon Fraser UniversityBurnabyBC V5A 1S6Canada Geographic Information Science Research Group Ton Duc Thang UniversityHo Chi Minh CityViet Nam Faculty of Environment and Labour Safety Ton Duc Thang UniversityHo Chi Minh CityViet Nam

Flash floods are responsible for loss of life and considerable property damage in many *** susceptibility maps contribute to flood risk reduction in areas that are prone to this hazard if appropriately used by landuse planners and emergency *** main objective of this study is to prepare an accurate flood susceptibility map for the Haraz watershed in Iran using a novel modeling approach(DBPGA)based on Deep Belief Network(DBN)with Back Propagation(BP)algorithm optimized by the Genetic Algorithm(GA).For this task,a database comprising ten conditioning factors and 194 flood locations was created using the One-R Attribute Evaluation(ORAE)*** well-known machine learning and optimization algorithms were used as benchmarks to compare the prediction accuracy of the proposed *** metrics include sensitivity,specificity accuracy,root mean square error(RMSE),and area under the receiver operatic characteristic curve(AUC)were used to assess the validity of the proposed *** result shows that the proposed model has the highest goodness-of-fit(AUC=0.989)and prediction accuracy(AUC=0.985),and based on the validation dataset it outperforms benchmark models including LR(0.885),LMT(0.934),BLR(0.936),ADT(0.976),NBT(0.974),REPTree(0.811),ANFIS-BAT(0.944),ANFIS-CA(0.921),ANFIS-IWO(0.939),ANFIS-ICA(0.947),and ANFIS-FA(0.917).We conclude that the DBPGA model is an excellent alternative tool for predicting flash flood susceptibility for other regions prone to flash floods.

关键词： Environmental modeling Flash flood Deep belief network Over-fitting Iran

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The Relationship Between Mathematics Excellency and Efficiency of Accounting Students

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Journal of Modern Accounting and Auditing 2012年第10期8卷 1419-1427页

作者： Gholamreza Zandi Alireza shahabi . . Mojtaba Bagheri International Islamic University Malaysia (IIUM) Kuala Lumpur Malaysia Scientific Applied University Shiraz Iran

Many organizations, educational institutes, and universities wish to identify efficient and high caliber applicants who could excel over the accounting discipline, while scholarships and admissions are still not offered. However, it is believed that undergraduate accounting students with majors in mathematics from pre-university institutes perform much better than those with arts or social sciences backgrounds. Therefore, this paper~ takes the mathematics perception level as well as pre-university＇s cumulative grade point averages （CGPAs） as the main indicators of efficiency and better performance of undergraduate accounting students. In order to test the hypotheses, a multiple regression analysis has been used. By choosing all undergraduate accounting candidates, who had been admitted for academic calendars of 2009-2010 in four different universities （one public, two semi-publics, and one private university） and testing their mathematics excellency, as well as extracting their CGPAs, the authors find that students＇ mathematical talents are high, and to a lower extent, the CGPAs will positively influence the performance in accounting courses.

关键词： scholarship cumulative grade point average (CGPA) mathematical talents accounting

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SWPT:An automated GIS-based tool for prioritization of sub-watersheds based on morphometric and topo-hydrological factors

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Geoscience Frontiers 2019年第6期10卷 2167-2175页

作者： Omid Rahmati Mahmood Samadi Himan shahabi Ali Azareh Elham Rafiei-Sardooi Hossein Alilou Assefa M.Melesse Biswajeet Pradhan Kamran Chapi Ataollah Shirzadi Geographic Information Science Research Group Ton Duc Thang UniversityHo Chi Minh CityViet Nam Faculty of Environment and Labour Safety Ton Duc Thang UniversityHo Chi Minh CityViet Nam Faculty of Natural Resources University of TehranKarajIran Department of Geomorphology Faculty of Natural ResourcesUniversity of KurdistanSanandajIran Department of Geography University of JiroftKermanIran Faculty of Natural Resources University of JiroftKermanIran Aquatic Ecodynamics UWA School of Agriculture and EnvironmentThe University of Western AustraliaCrawleyWA6009Australia Department of Earth and Environment AHC 5-390Florida International UniversityUSA Centre for Advanced Modelling and Geospatial Information Systems(CAMGIS) Faculty of Engineering and ITUniversity of Technology SydneyNSW2007Australia Department of Energy and Mineral Resources Engineering Choongmu-gwanSejong University209 Neungdong-roGwangjin-guSeoul05006Republic of Korea Department of Rangeland and Watershed Management Faculty of Natural ResourcesUniversity of KurdistanSanandajIran

The sub-watershed prioritization is the ranking of different areas of a river basin according to their need to proper planning and management of soil and water *** makers should optimally allocate the investments to critical sub-watersheds in an economically effective and technically efficient ***,this study aimed at developing a user-friendly geographic information system(GIS)tool,Sub-Watershed Prioritization Tool(SWPT),using the Python programming language to decrease any possible *** used geospatial-statistical techniques for analyzing morphometric and topohydrological factors and automatically identifying critical and priority *** order to assess the capability and reliability of the SWPT tool,it was successfully applied in a watershed in the Golestan Province,Northern *** records of flood and landslide events indicated that the SWPT correctly recognized critical *** provided a cost-effective approach for prioritization of ***,the SWPT is practically applicable and replicable to other regions where gauge data is not available for each sub-watershed.

关键词： SWPT Watershed prioritization GIS Effective management

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Analysis and Design of Different Methods to Reach Optimum Power in Butler Matrix

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International Journal of Communications, Network and System Sciences 2019年第2期12卷 19-35页

作者： Shahideh Kiehbadroudinezhad Jean-Francois Bousquet Michael Cada Adib shahabi Mohammad Ali Kiehbadroudinezhad Department of Electrical and Computer Engineering Dalhousie UniversityHalifaxCanada Department of Mechanic of Biosystems University of TehranTehranIran

With the increasing demand for high speed reliable communications, smart antennas, such as the Butler Matrix array, can be used to develop a system that increases the performance of a wireless system. The Butler matrix is a switched beam array system which can produce orthogonal uniform beams. The main objective is to improve the efficiency of the power in a 90-degree bend. Also, the double-mitered bend is particularly interesting since it provides a substantially lower reflection coefficient and a lower value of S12 at a frequency of 2.4 GHz compared to an unmitered one. Therefore, this paper describes an optimum design using a double-mitered method with a 2 × 2 and a 4 × 4 Butler Matrix array, operating at 2.4 GHz which is used in wireless systems with an FR4 substrate.

关键词： Butler Matrix Beam Forming Phase Shifter Micro Strip

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