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Non-dominated Sorting Advanced Butterfly Optimization Algorithm for Multi-objective Problems

Journal of Bionic Engineering 2023年第2期20卷 819-843页

作者： Sushmita Sharma nima Khodadadi Apu Kumar Saha Farhad Soleimanian Gharehchopogh Seyedali Mirjalili Department of Mathematics National Institute of Technology AgartalaTripura799046India Department of Civil and Environment Engineering Florida International University MiamiMiamiFL33199USA Department of Computer Engineering Urmia BranchIslamic Azad UniversityUrmia***Iran Centre for Artificial Intelligence Research and Optimization Torrens UniversityFortitude ValleyQLD4006Australia Yonsei Frontier Lab Yonsei UniversitySeoul03722South Korea

This paper uses the Butterfly Optimization Algorithm(BOA)with dominated sorting and crowding distance mechanisms to solve multi-objective optimization *** is also an improvement to the original version of BOA to alleviate its drawbacks before extending it into a multi-objective *** to better coverage and a well-distributed Pareto front,non-dominant rankings are applied to the modified BOA using the crowding distance *** benchmark functions and eight real-world problems have been used to test the performance of multi-objective non-dominated advanced BOA(MONSBOA),including unconstrained,constrained,and real-world design multiple-objective,highly nonlinear constraint *** performance metrics,such as Generational Distance(GD),Inverted Generational Distance(IGD),Maximum Spread(MS),and Spacing(S),have been used for performance *** is demonstrated that the new MONSBOA algorithm is better than the compared algorithms in more than 80%occasions in solving problems with a variety of linear,nonlinear,continuous,and discrete characteristics based on the Pareto front when compared *** all the analysis,it may be concluded that the suggested MONSBOA is capable of producing high-quality Pareto fronts with very competitive results with rapid convergence.

关键词： Multi-objective problems Butterfly optimization algorithm Non-dominated sorting Crowding distance

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Machine and deep learning driven models for the design of heat exchangers with micro-finned tubes

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Energy and AI 2024年第2期16卷 417-437页

作者： Emad Efatinasab nima Irannezhad Mirco Rampazzo Andrea Diani Department of Information Engineering University of PadovaVia Gradenigo 6/bPadova35131PDItaly Department of Industrial Engineering University of PadovaVia Venezia 1Padova35131PDItaly

The design of micro-finned tube heat exchangers is a complex task due to intricate geometry, heat transfer goals, material selection, and manufacturing challenges. Nowadays, mathematical models provide valuable insights, aid in optimization, and allow us to explore various design parameters efficiently. However, existing empirical models often fall short in facilitating an optimal design because of their limited accuracy, sensitivity to assumption, and context dependency. In this scenario, the use of Machine and Deep Learning (ML and DL) methods can enhance accuracy, manage nonlinearity, adjust to varying conditions, decrease dependence on assumptions, automatically extract pertinent features, and provide scalability. Indeed, ML and DL techniques can derive valuable insights from datasets, contributing to a comprehensive understanding. By means of multiple ML and DL methods, this paper addresses the challenge of estimating key parameters in micro-finned tube heat exchangers such as the heat transfer coefficient (HTC) and frictional pressure drop (FPD). The methods have been trained and tested using an experimental dataset consisting of over a thousand data points associated with flow condensation, involving various tube geometries. In this context, the Artificial Neural Network (ANN) demonstrates superior performance in accurately estimating parameters with MAEs in the range below 4.5% for both HTC and FPD. Finally, recognizing the importance of comprehending the internal mechanisms of the black-box ANN model, the paper explores its interpretability aspects.

关键词： Condensation Micro-finned tube Artificial neural network Machine learning Deep learning

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In vitro angiogenesis in response to biomaterial properties for bone tissue engineering:a review of the state of the art

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Regenerative Biomaterials 2023年第1期10卷 744-783页

作者： Else Ellermann nima Meyer Ruth E.Cameron Serena M.Best Department of Materials Science and Metallurgy University of CambridgeCambridge CB30FSUK

Bone tissue engineering(BTE)aims to improve the healing of bone fractures using scaffolds that mimic the native extracellular *** successful bone regeneration,scaffolds should promote simultaneous bone tissue formation and blood vessel growth for nutrient and waste ***,a significant challenge in regenerative medicine remains the development of grafts that can be vascularized *** other things,optimization of physicochemical conditions of scaffolds is key to achieving appropriate angiogenesis in the period immediately following *** phosphates and collagen scaffolds are two of the most widely studied biomaterials for BTE,due to their close resemblance to inorganic and organic components of bone,respectively,and their bioactivity,tunable biodegradability and the ability to produce tailored *** various strategies exist to enhance vascularization of these scaffolds in vivo,further in vitro assessment is crucial to understand the relation between physicochemical properties of a biomaterial and its ability to induce *** mono-culture studies can provide evidence regarding cell-material interaction of a single cell type,a co-culture procedure is crucial for assessing the complex mechanisms involved in angiogenesis.A co-culture more closely resembles the natural tissue both physically and biologically by stimulating natural intercellular interactions and mimicking the organization of the in vivo ***,a co-culture is a complex system requiring optimization of various parameters including cell types,cell ratio,culture medium and seeding *** fundamental knowledge of the mechanism behind the bioactivity of biomaterials and understanding the contribution of surface and architectural features to the vascularization of scaffolds,and the biological response in general,can provide an invaluable basis for future optimization *** review gives an overview of the

关键词： angiogenesis collagen scaffolds hydroxyapatite co-culture architectural features physicochemical properties

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Synthesis and Characterization of the Antibacterial Activity of Zinc Oxide Nanoparticles against Salmonella typhi

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Acta Metallurgica Sinica(English Letters) 2016年第7期29卷 601-608页

作者： Rafieh Meraat Ali Abdolahzadeh Ziabari Khosro Issazadeh nima Shadan Kamyar Mazloum Jalali Department of Microbiology Lahijan BranchIslamic Azad University Nano Research Lab Lahijan BranchIslamic Azad University

Metal oxides can be used as a series of new and effective anti-bacterial agents. In this study, four concentrations of ZnO nanoparticles （0.2, 0.5, 0.7 and 1.0 tool/L） were synthesized using a low-temperature sol-gel method annealed at 400 and 550 ℃. The products were characterized by X-ray diffraction （XRD）, transmission electron microscopy （TEM） and Fourier transform infrared spectroscopy （FTIR）. XRD results show the hexagonal wurtzite structure of the nanoparticles with the grain size in the range of 38-43 nm. TEM micrographs exhibit a polyhedral form of the synthesized nanoparticles. The antimicrobial activity of different concentrations of nanoparticles against Salmonella typhi PTCC 1609 was determined by disk diffusion and agar dilution method at five concentrations of 10, 5, 2.5, 1.25 and 0.625 mg/mL. Analysis shows that the prepared ZnO nanoparticles have a very effective antimicrobial activity against Salmonella typhi. This activity increases by reducing the size of nanoparticles and increasing their content in the bacterial growth medium.

关键词： ZnO nanoparticles Antimicrobial agents Reactive oxygen species (ROS) Salmonella Typhi

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Adenoviral gene therapy in gastric cancer: A review

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World Journal of Gastroenterology 2008年第2期14卷 180-184页

作者： nima Khalighinejad Hesammodin Hariri Omid Behnamfar Arash Yousefi Amir Momeni Isfahan University of Medical Sciences Khalighinejad Nima Number 111 5th street Mardavij Street Isfahan Iran

Gastric cancer is one of the most common malignancies worldwide. With current therapeutic approaches the prognosis of gastric cancer is very poor, as gastric cancer accounts for the second most common cause of death in cancer related deaths. Gastric cancer like almost all other cancers has a molecular genetic basis which relies on disruption in normal cellular regulatory mechanisms regarding cell growth, apoptosis and cell division. Thus novel therapeutic approaches such as gene therapy promise to become the alternative choice of treatment in gastric cancer. In gene therapy, suicide genes, tumor suppressor genes and anti-angiogenesis genes among many others are introduced to cancer cells via vectors. Some of the vectors widely used in gene therapy are Adenoviral vectors. This review provides an update of the new developments in adenoviral cancer gene therapy including strategies for inducing apoptosis, inhibiting metastasis and targeting the cancer cells.

关键词： Gastric cancer Adenovirus Gene therapy Vector Apoptosis Metastasis

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The influence of microwave irradiation on rocks for microwaveassisted underground excavation

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Journal of Rock Mechanics and Geotechnical Engineering 2016年第1期8卷 1-15页

作者： Ferri Hassani Pejman M.Nekoovaght nima Gharib Department of Mining and Material Engineering McGill University

Demand is growing for explosive-free rock breakage systems for civil and mining engineering, and space industry applications. This paper highlights the work being undertaken in the Geomechanics Laboratory of Mc Gill University to make a real application of microwave-assisted mechanical rock breakage to fullface tunneling machines and drilling. Comprehensive laboratory tests investigated the effect of microwave radiation on temperature profiles and strength reduction in hard rocks(norite, granite, and basalt)for a range of exposure times and microwave power levels. The heating rate on the surface of the rock specimens linearly decreased with distance between the sample and the microwave antenna, regardless of microwave power level and exposure time. Tensile and uniaxial compressive strengths were reduced with increasing exposure time and power level. Scanning electron micrographs(SEMs) highlighted fracture development in treated basalt. It was concluded that the microwave power level has a strong positive influence on the amount of heat damage induced to the rock surface. Numerical simulations of electric field intensity and wave propagation conducted with COMSOL Multiphysics~ software generated temperature profiles that were in close agreement with experimental results.

关键词： Microwaves Crack density Microwave-assisted tunnel boring Rock breakage

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Personalized clinical managements through exploring circulating neural cells and electroencephalography

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World Journal of Experimental Medicine 2023年第4期13卷 75-94页

作者： Parvin Mehdipour nima Fathi Masoud Nosratabadi Department of Medical Genetics Tehran University of Medical SciencesTehran 14176-1315Iran Neuro-Science Paarand Specialized Center for Human EnhancementTehran 157699304Iran Department of Research Paarand Specialized Center for Human EnhancementTehran 157699304Iran

BACKGROUND Since an initial diagnosis of Alzheimer disease(AD)in 1907,early detection,was unavailable through 116 ***-regulation of V-Ets erythroblastosis virus E26 oncogene homolog 2(Ets2)is capable to enhance neuronal susceptibility and *** expression(PE)of Ets2 has functional impact on AD and Down’s syndrome,with diverse *** of Ets2 has an influential pathogenic impact on *** aspects of neurological disorders directly interact with psychological ***,deterioration requires an early management including programmed based *** To include cell biology in neuro-genetics;personalized,prognostics,predictive,preventive,predisposing(5xP)platform,accompanied by stratifying brain channels behavior pre-and post-intervention by light music in the *** Include exploration of PE assay and electroencephalography of brain *** processes are applied according to:(1)Triangle style,by application of cellular network;and(2)PE assay of Ets2 in the peripheral blood of the patients with AD,by Manual single cell based analysis,and Flow-cytometry.(1)Applying the Genetic counselling and pedigree analysis;(2)considering the psychological status of the referral cases;(3)considering the macro-and/or micro-environmental factors;(4)performing the required Genetics’analysis;and(5)applying the required complementary test(s).RESULTS PE of Ets2 has pathogenic role in *** unmasked the nature of heterogeneity/diversity/course of evolution by exploring Ets2,D1853N polymorphism in Ataxia Telangiectasia mutated gene(ATM),vascular endothelial growth factor(VEGF),epidermal growth factor(EGF)and course of evolution at the single cell level of the ***2 revealed different cellular behavior in the blood and suggested the strategy as‘Gene Product-Based Therapy’and the personalized managements for the *** reflected weak expression of ATM,mosaic pattern of Ets2;remarkable expression of VEGF and EGF by highlighting

关键词： Alzheimer Protein expression Brain channels Predictive/early detection

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Seismic Liquefaction Resistance Based on Strain Energy Concept Considering Fine Content Value Effect and Performance Parametric Sensitivity Analysis

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Computer Modeling in Engineering & Sciences 2023年第4期135卷 733-754页

作者： nima Pirhadi Xusheng Wan Jianguo Lu Jilei Hu Mahmood Ahmad Farzaneh Tahmoorian School of Civil Engineering and Geomatics Southwest Petroleum UniversityChengdu610500China Key Laboratory of Geological Hazards on ThreeGorges ReservoirArea Ministry of EducationChina Three Gorges UniversityYichang443002China College of Civil Engineering&Architecture China Three Gorges UniversityYichang443002China Department of Civil Engineering Faculty of EngineeringInternational Islamic University MalaysiaJalan GombakSelangor50728Malaysia Department of Civil Engineering University of Engineering and Technology Peshawar(Bannu Campus)Bannu28100Pakistan Central Queensland University Queensland4740Australia

Liquefaction is one of the most destructive phenomena caused by earthquakes,which has been studied in the issues of potential,triggering and hazard *** strain energy approach is a common method to investigate liquefaction *** this study,two Artificial Neural Network(ANN)models were developed to estimate the liquefaction resistance of sandy soil based on the capacity strain energy concept(W)by using laboratory test data.A large database was collected from the *** group of the dataset was utilized for validating the process in order to prevent overtraining the presented *** investigate the complex influence of fine content(FC)on liquefaction resistance,according to previous studies,the second database was arranged by samples with FC of less than 28%and was used to train the second ANN ***,two presented ANN models in this study,in addition to four extra available models,were applied to an additional 20 new samples for comparing their results to show the capability and accuracy of the presented models ***,a parametric sensitivity analysis was performed through Monte Carlo Simulation(MCS)to evaluate the effects of parameters and their uncertainties on the liquefaction resistance of *** to the results,the developed models provide a higher accuracy prediction performance than the previously *** sensitivity analysis illustrated that the uncertainties of grading parameters significantly affect the liquefaction resistance of soils.

关键词： Liquefaction resistance capacity strain energy artificial neural network sensitivity analysis Monte Carlo Simulation

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Biomechanical assessment of new surgical method instead of kyphoplasty to improve the mechanical behavior of the vertebra:Micro finite element study

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World Journal of Orthopedics 2017年第11期8卷 829-835页

作者： Seyed Aref Hosseini Faradonbeh nima Jamshidi Department of Biomedical Engineering Faculty of Engineering University of Isfahan

AIM To reduce post treatments of kyphoplasty, as a common treatment for osteoporotic *** This study suggests a new method for treating vertebrae by setting the hexagonal porous structure instead of the rigid bone cement mass in the kyphoplasty(KP). The KP procedure was performed on the fresh ovine vertebra of the level L1. Micro finite element modeling was performed based on micro computed tomography of ovine trabecular cube. The hexagonal porous structure was set on one cube instead of the bone cement mass. For the implant designing, two geometrical parameters were considered: Spacing diameter and *** The results of micro finite element analyses indicated the improvement in the mechanical behavior of the vertebra treated by the hexagonal porous structures, as compared to those treated by vertebroplasty(VP) and KP under static loading. The improvement in the mechanical behavior of the vertebra, was observed as 54% decrease in the amount of maximum Von Misses stress(improvement of stress distribution), in trabecular cube with embedded hexagonal structure, as compared to VP and KP. This is comparable to the results of the experimental study already performed; it was shown that the improvement of mechanical behavior of the vertebra was observed as: 83% increase in the range of displacements before getting to the ultimate strength(increasing the toughness) after setting hexagonal pearls inside vertebrae. Both the material and geometry of implant influenced the amount of Von Mises stress in the *** The new proposed method can be offered as a substitute for the KP. The implant geometry had a more obvious effect on the amount of Von Mises stress, as compared to the implant material.

关键词： Vertebroplasty Kyphoplasty Micro finite element modeling Hexagonal porous structure Von mises stress

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Lossless multi-scale constitutive elastic relations with artificial intelligence

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npj Computational Materials 2022年第1期8卷 638-649页

作者： Jaber Rezaei Mianroodi Shahed Rezaei nima H.Siboni Bai-Xiang Xu Dierk Raabe Microstructure Physics and Alloy Design Max-Planck-Institut für EisenforschungDüsseldorfGermany Ergodic Labs Lohmühlenstraße 6512435BerlinGermany Mechanics of Functional Materials Division Institute of Materials ScienceTechnische Universität DarmstadtDarmstadtGermany

A seamless and lossless transition of the constitutive description of the elastic response of materials between atomic and continuum scales has been so far *** we show how this problem can be overcome by using artificial intelligence(AI).A convolutional neural network(CNN)model is trained,by taking the structure image of a nanoporous material as input and the corresponding elasticity tensor,calculated from molecular statics(MS),as *** with the atomistic data,the CNN model captures the size-and pore-dependency of the material’s elastic properties which,on the physics side,derive from its intrinsic stiffness as well as from surface relaxation and non-local *** demonstrate the accuracy and the efficiency of the trained CNN model,a finite element method(FEM)-based result of an elastically deformed nanoporous beam equipped with the CNN as constitutive law is compared with that obtained by a full atomistic *** trained CNN model predicts the elasticity tensor in the test dataset with a root-mean-square error of 2.4 GPa(3.0%of the bulk modulus)when compared to atomistic *** the other hand,the CNN model is about 230 times faster than the MS calculation and does not require changing simulation methods between different *** efficiency of the CNN evaluation together with the preservation of important atomistic effects makes the trained model an effective atomistically informed constitutive model for macroscopic simulations of nanoporous materials,optimization of nanostructures,and the solution of inverse problems.

关键词： constitutive artificial elasticity

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