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Open Access Article
1 - Photoluminescence study of Au-Ag bimetallic nanoparticles supported on mesoporous silica SBA-15
Saba Estakhri Elham Darabi Behrouz Akbari Adergani Seyed Elahi -
Open Access Article
2 - String cloud and domain walls with quark matter for plane symmetric cosmologicalmodel in bimetric theory
Pradyumn Kumar Sahoo Bivudutta Mishra -
Open Access Article
3 - Improving the palbimm scheduling algorithm for fault tolerance in cloud computing
Minoo Soltanshahi -
Open Access Article
4 - On (Quasi-)morphic Property of Trivial Extensions of Rings
Najmeh dehghani Mojtaba SedaghatjooLet R be a ring and M be an R-R bimodule. R is called left quasi-morphic if for every a∈R, there exist elements b,c∈R such that l_R (a)=Rb and l_R (c)=Ra. Besides, R is said to be left morphic whenever in the above definition b and c can be chosen the same. In MoreLet R be a ring and M be an R-R bimodule. R is called left quasi-morphic if for every a∈R, there exist elements b,c∈R such that l_R (a)=Rb and l_R (c)=Ra. Besides, R is said to be left morphic whenever in the above definition b and c can be chosen the same. In this paper, we investigate conditions under which the trivial extension R⋉M of R by M is (quasi-)morphic. We present some examples showing that neither R nor M inherits the (quasi-)morphic property from R⋉M, and vice versa. So, we obtain several necessary and sufficient conditions under which R⋉M is (quasi-)morphic. For instance, we show that left quasi-morphic property of R⋉M implies that M_R is divisible. Moreover, we prove that if R⋉M is left quasi-morphic and there exists x∈M such that either r_R (x)=0 or l_R (x)=0 then (_R^ )M is cyclic. In particular, if R is commutative, then M≃R and R is also quasi-morphic. In addition, we investigate the (quasi-)morphic property of R⋉M whenever M is free as a left (right) module over R. Consequently, we prove the following theorem which is the main outcome of this paper: if R is an integral domain and (_R^ )M is free, then R⋉M is left (quasi-)morphic if and only if R is a division ring and (_R^ )M≃(_R^ )R . As an application of this theorem, the result which is proved by Lee and Zhou, and also by Van An and et al., in 2007 and 2016, respectively, is deduced. Manuscript profile -
Open Access Article
5 - Holstein calf monster Duplication of a part of the foot (Bimelia) with absence of the skin (Epitheliogenesis imperfecta) (A case report)
S.M Hosseini M.H Youssefi M.R Youssefi SH Omidzahir عباس مؤمنیCongenital abnormality is effected by genetical or environmental causes. Congenitalabnormality and inherited disorders are form, situation, structure and functional abnormality thatexisting in the time of birth. These abnormalites can change perfectly just a structure o MoreCongenital abnormality is effected by genetical or environmental causes. Congenitalabnormality and inherited disorders are form, situation, structure and functional abnormality thatexisting in the time of birth. These abnormalites can change perfectly just a structure or afunction of system or part of several system of body. Such form of lesion is rare that indeedhappened two form of congenital abnormality. occurrded both duplication of a part of the foot(Bimelia) and absence of the skin (Epitheliogenesis imperfecta). Simultaneous occurrence oftwo congenital malformations is rare. We report these two in a Holstein calf. Manuscript profile -
Open Access Article
6 - Designing an intelligent model to optimize the safety risk of the takeoff flight using BIM-LSTM
mansour yahyavi Abbass toloie eshlaghi Mohammad Ali Afsharkazemi Reza RadfarThis article presents a new model for optimizing the safety risk of take-off, as the most important and dangerous flight process, using a combination of BI algorithm and recurrent neural network LSTM. The goal is to train an effective neural network with past data recor MoreThis article presents a new model for optimizing the safety risk of take-off, as the most important and dangerous flight process, using a combination of BI algorithm and recurrent neural network LSTM. The goal is to train an effective neural network with past data records of air accidents to predict safety risk parameters. For this purpose, 17 safety features, such as weather conditions, aircraft configuration and preparation, flight information and air traffic were obtained. The data related to 2019 to 2020 was selected after performing exploration, summarization, cleaning, normalization operations with 28813 data records. Due to the dependence of flight data on their previous inputs and the need for a kind of memory, training was performed by deep learning algorithm (LSTM) in Python environment. After learning, the learning error was about 6 percent and the mean square error was about 116/0. It shows that the error percentage is negligible and the proposed model has high validity. Also, this model solved the problem of exploration and cleaning of bulk flight data by having advanced tools such as ETL, metadata and real-time monitoring and was able to predict the most important safety risk factor (speed V1) with high accuracy. This pattern helps the flight service in controlling the important parameters of safety risk, such as the speed of aircraft taking off from the runway, controlling the safe take-off speed and most importantly controlling the loss of flight with a reliable strategy. Manuscript profile -
Open Access Article
7 - Accuracy Improvement of Upper Bound Analysis of Bimetallic Rods Extrusion Using a New Velocity Field
Hamed Afrasiab Mojtaba Qasemi-Mahallekolaei -
Open Access Article
8 - An Integrated Approach for Evaluation Applications of Building Information Modeling Based on Rough Number
Alireza Aminrad Mohammad Miehosseini Mohammad Ehsanifar Ehsanullah Zeighami -
Open Access Article
9 - The Necessity of Integrating Soil Treatment Systems in BIM from Design to Final Construction
Mohammad Pardsouie Mehdi Mokhberi Seyed Mohammad Ali Zomorodian Mohammad Pardsouie -
Open Access Article
10 - Punch plastic deformation pipe cladding (PPDPC) as a novel tube cladding method
M.R. Baghaei Ghader Faraji -
Open Access Article
11 - AB INITIO MATERIAL MODELING STUDY ON LiO ADSORBED BY PALLADIUM-COBALT (PdCo) NANOPARTICLES
mikail aslanPdCo nanoalloy particles have been commonly used as catalytic material in some important chemical reactions, involving in fisher-tropsch reactions, and oxygen reduction reactions. In terms of understanding the role of catalysis, these smallest bimetallic nanoparticles p MorePdCo nanoalloy particles have been commonly used as catalytic material in some important chemical reactions, involving in fisher-tropsch reactions, and oxygen reduction reactions. In terms of understanding the role of catalysis, these smallest bimetallic nanoparticles provide the simplest prototypes of Pd-Co bimetallic catalysts for different compositions. In this study, the effect of LixO (x=1,2) on PdCo nanoalloys has been investigated comprehensively employing the density functional theory (DFT) to identify the mechanism of structural, electronic, and energetic properties of the studied species. Binding energies are calculated for stability analysis which is very important for nanoparticles. Results show that lithium oxides are generally adsorbed by cobalt sites on the Pd-Co substrate. This is important for determining active sites of the catalytic material. Furthermore, the structures have low symmetric properties. Hence, this study might provide an initial structural evaluation step for future studies related to the possible new catalytic material of Li-air batteries. Manuscript profile -
Open Access Article
12 - Ab initio (first principle) material modeling study on Lio adsorbed by palladium-cobalt (PdCo) nanoparticles
Mikail Aslan -
Open Access Article
13 - The Effect of Annealing Heat Treatment on the Bond of Explosivewelded Copper/Steel after the ECAR Process
Mohammad Honarpisheh Ali Akbar Haddadi Hadi Mansouri -
Open Access Article
14 - Finite Element Simulation of Hydrostatic Extrusion Process to Produce Thin Bimetallic Parts
Hamid Montazerolghaem Ali Delfani -
Open Access Article
15 - Denoising in Wavelet Packet Domain via Approximation Coefficients
Zahra Vahabi Farshad AlmasgangIn this paper we propose a new approach in the wavelet domain for image denoising. In recent researches wavelet transform has introduced a time-Frequency transform for computing wavelet coefficient and eliminating noise. Some coefficients have effected smaller than the MoreIn this paper we propose a new approach in the wavelet domain for image denoising. In recent researches wavelet transform has introduced a time-Frequency transform for computing wavelet coefficient and eliminating noise. Some coefficients have effected smaller than the other's from noise, so they can be use reconstruct images with other subbands. We have developed Approximation image to estimate better denoised image. Naturally noiseless subimage introduced image with lower noise. Beside denoising we obtain a bigger compression rate. Increasing image contrast is another advantage of this method. Experimental results demonstrate that our approach compares favorably to more typical methods of denoising and compression in wavelet domain.100 images of LIVE Dataset were tested, comparing signal to noise ratios (SNR),soft thresholding was %1.12 better than hard thresholding, POAC was %1.94 better than soft thresholding and POAC with wavelet packet was %1.48 better than POAC. Manuscript profile -
Open Access Article
16 - Enhanced removal of methylene blue dye by bimetallic nano-sized MOF-5s
Mahshid Zebardast Abdollah Fallah Shojaei Khalil Tabatabaeian -
Open Access Article
17 - Effect of Thyroid Activity Modulation on Some Histological and Biochemical Aspects in Broiler Chicks
I. El-Wardany E.F. El-Daly A.H. Abd El-Gawad A.E.A. Hemid N.A. Abd El-Azeem -
Open Access Article
18 - Some categorical aspects of coarse proximity spaces
Gh. MirhosseinkhaniIn this paper, we study some categorical structures of the category $\mathbf{CoarsePro}$, whose objects are coarse proximity spaces and whose morphisms are coarse proximity maps. We investigate the structure of initial, final, embedding and quotient morphisms in the con MoreIn this paper, we study some categorical structures of the category $\mathbf{CoarsePro}$, whose objects are coarse proximity spaces and whose morphisms are coarse proximity maps. We investigate the structure of initial, final, embedding and quotient morphisms in the construct $\mathbf{CoarsePro}$. A special attention is paid to investigate quotients by introducing some conditions that they exist. Also, it is shown that bimorphisms are exactly bijective coarse proximity maps, but not isomorphisms. Consequently, $\mathbf{CoarsePro}$ is not balanced. Manuscript profile -
Open Access Article
19 - The influence of alumina used as a support on the catalytic properties of Pt/Sn/Al2O3 systems in the dehydrogenation of isobutane
Sedigheh Vaezifar hossein Faghihian Mehdi kamali -
Open Access Article
20 - Investigating the sensing properties of SnO2-PdPt nanohybrid toward methane gas and effect of adding reduced graphene oxide on improving its sensing performance
Shiva Navazani Ali Shokuhfar Mostafa HassanisadiIn this paper, the sensing properties of SnO2-PdPt nanohybrid to methane gas and effect of reduced graphene oxide (rGO) on improving its sensing performance was investigated. For this reason, first SnO2 was synthesized by hydrothermal method and then hybridized by Pd, P MoreIn this paper, the sensing properties of SnO2-PdPt nanohybrid to methane gas and effect of reduced graphene oxide (rGO) on improving its sensing performance was investigated. For this reason, first SnO2 was synthesized by hydrothermal method and then hybridized by Pd, Pt and PdPt catalysts. For investigating the effect of rGO, by the in-situ hydrothermal method, SnO2-rGO was synthesized instead of SnO2. Results showed that the nanohybrid sensor with bimetallic alloy catalyst, had higher response t lower temperature compared with monometallic catalysts and on the other hand, adding rGO, reduced the optimum sensing temperature of SnO2-PdPt and enhanced its response to methane. The SnO2-PdPt nanosensor showed 52.22% response to 1000ppm CH4 at 200oC. The sensing response and recovery times for this hybrid were 94s and 3.5min respectively, whilst the SnO2-rGO-PdPt showed 69.5% response at 150oC to the same concentration of methane. The response and recovery times for this hybrid were 50s and 4.5min respectively. Manuscript profile -
Open Access Article
21 - تغییر مکان استاتیکی تیرهای پیزوالکتریک چندلایه دو سر لولا تحت بارگذاریهای مختلف
افشین منوچهریفر علیرضا جلیلیدر این مقاله ابتدا معادلات ساختاری پیزوالکتریکها بیان شده و با بکارگیری این معادلات، انرژی داخلی تیر چند لایه پیزوالکتریک محاسبه شده است. سپس با ترکیب اصل حداقل انرژی پتانسیل و روش رایلی- ریتز، رابطهای برای جابهجایی تیر پیزوالکتریک دو سر لولا، تحت ممان متمرکز، نیروی Moreدر این مقاله ابتدا معادلات ساختاری پیزوالکتریکها بیان شده و با بکارگیری این معادلات، انرژی داخلی تیر چند لایه پیزوالکتریک محاسبه شده است. سپس با ترکیب اصل حداقل انرژی پتانسیل و روش رایلی- ریتز، رابطهای برای جابهجایی تیر پیزوالکتریک دو سر لولا، تحت ممان متمرکز، نیروی متمرکز، بار گسترده و ولتاژ خارجی، به طوریکه شرایط مرزی را ارضا کند حدس زده شده است و ضرایب مجهول با حداقل کردن انرژی پتانسیل بهدست آمده است. در ادامه روابط بهدست آمده برای تیرهای بایمورف و یونیمورف دو سر لولا ساده شده و بار الکتریکی و همچنین ولتاژ ایجاد شده در آنها در حالت حسگری به دست آمده است. جهت اطمینان از صحت و دقت روابط تحلیلی بهدست آمده، نتایج تحلیلی با نتایج نرمافزار ANSYS 10 در قالب مثالهای عددی مقایسه شده است. Manuscript profile