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Towards data-efficient mechanical design of bicontinuous composites usinggenerative AI

Theoretical & Applied Mechanics Letters 2024年第1期14卷 57-64页

作者： milad Masrouri Zhao Qin Department of Civil and Environmental Engineering Syracuse UniversitySyracuseNY 13244USA Laboratory for Multiscale Material Modelling Syracuse UniversitySyracuseNY 13244USA The BioInspired Institute Syracuse UniversitySyracuseNY 13244USA

The distribution of material phases is crucial to determine the composite’s mechanical property.While the full structure-mechanics relationship of highly ordered material distributions can be studied with finite number of cases,this relationship is difficult to be revealed for complex irregular distributions,preventing design of such material structures to meet certain mechanical requirements.The noticeable developments of artificial intelligence(AI)algorithms in material design enables to detect the hidden structure-mechanics correlations which is essential for designing composite of complex structures.It is intriguing how these tools can assist composite design.Here,we focus on the rapid generation of bicontinuous composite structures together with the stress distribution in loading.We find that generative AI,enabled through fine-tuned Low Rank Adaptation models,can be trained with a few inputs to generate both synthetic composite structures and the corresponding von Mises stress distribution.The results show that this technique is convenient in generating massive composites designs with useful mechanical information that dictate stiffness,fracture and robustness of the material with one model,and such has to be done by several different experimental or simulation tests.This research offers valuable insights for the improvement of composite design with the goal of expanding the design space and automatic screening of composite designs for improved mechanical functions.

关键词： Generative artificial intelligence Stable diffusion Composite design Phase field model Molecular dynamics simulation

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The Effect of Spironolactone Loading on the Properties of 3D-Printed Polycaprolactone/Gold Nanoparticles Composite Scaffolds for Myocardial Tissue Engineering

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Journal of Bionic Engineering 2024年第2期21卷 924-937页

作者： Sharareh Ghaziof Shahrokh Shojaei Mehdi Mehdikhani Mohammad Khodaei milad Jafari Nodoushan Department of Biomedical Engineering Central Tehran BranchIslamic Azad UniversityTehran***Iran Stem Cells Research Center Tissue Engineering and Regenerative Medicine InstituteCentral Tehran BranchIslamic Azad UniversityTehran***Iran Department of Biomedical Engineering Faculty of EngineeringUniversity of IsfahanIsfahan***Iran Materials Engineering Group Golpayegan College of EngineeringIsfahan University of TechnologyGolpayegan87717-67498Iran Hard Tissue Engineering Research Center Tissue Engineering and Regenerative Medicine InstituteCentral Tehran BranchIslamic Azad UniversityTehran***Iran

Engineered cardiac constructs(ECC)aid in the progression of regenerative medicine,disease modeling and targeted drug delivery to adjust and aim the release of remedial combination as well as decrease the side effects of drugs.In this research,polycaprolactone/gold nanoparticles(PCL/GNPs)three-dimensional(3D)composite scaffolds were manufactured by 3D printing using the fused deposition modeling(FDM)method and then coated with gelatin/spironolactone(GEL/SPL).Scanning electron microscopy(SEM)and Fourier transform-infrared spectroscopy(FTIR–ATR)were applied to characterize the samples.Furthermore,drug release,biodegradation,behavior of the myoblasts(H9C2)cell line,and cytotoxicity of the 3D scaffolds were evaluated.The microstructural observation of the scaffolds reported interconnected pores with 150–300µm in diameter.The 3D scaffolds were degraded significantly after 28 days of immersion in stimulated body fluid(SBF),with the maximum rate of GEL-coated 3D scaffolds.SPL release from cross-linked GEL coating demonstrated the excess of drug release over time,and according to the control release systems,the drug delivery systems(DDS)went into balance after the 14th day.In addition,cell culture study showed that with the addition of GNPs,the proliferation of(H9C2)was enhanced,and with GEL/SPL coating the cell attachment and viability were improved significantly.These findings suggested that PCL/GNPs 3D scaffolds coated with GEL/SPL can be an appropriate choice for myocardial tissue engineering.

关键词： Polycaprolactone Gold nanoparticles Drug delivery systems Spironolactone Cell behavior Myoblasts

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Combinational therapy with Myc decoy oligodeoxynucleotides encapsulated in nanocarrier and X-irradiation on breast cancer cells

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Oncology Research 2024年第2期32卷 309-323页

作者： BEHROOZ JOHARI milad PARVINZAD LEILAN MAHMOUD GHARBAVI YOUSEF MORTAZAVI ALI SHARAFI HAMED REZAEEJAM Department of Medical Biotechnology School of MedicineZanjan University of Medical SciencesZanjanIran Zanjan Pharmaceutical Biotechnology Research Center Zanjan University of Medical SciencesZanjanIran Nanotechnology Research Center Ahvaz Jundishapur University of Medical SciencesAhvazIran Department of Radiology Technology School of Allied Medical SciencesZanjan University of Medical SciencesZanjanIran

The Myc gene is the essential oncogene in triple-negative breast cancer(TNBC).This study investigates the synergistic effects of combining Myc decoy oligodeoxynucleotides-encapsulated niosomes-selenium hybrid nanocarriers with X-irradiation exposure on the MDA-MB-468 cell line.Decoy and scramble ODNs for Myc transcription factor were designed and synthesized based on promoter sequences of the Bcl2 gene.The nanocarriers were synthesized by loading Myc ODNs and selenium into chitosan(Chi-Se-DEC),which was then encapsulated in niosome-nanocarriers(NISM@Chi-Se-DEC).FT-IR,DLS,FESEM,and hemolysis tests were applied to confirm its characterization and physicochemical properties.Moreover,cellular uptake,cellular toxicity,apoptosis,cell cycle,and scratch repair assays were performed to evaluate its anticancer effects on cancer cells.All anticancer assessments were repeated under X-ray irradiation conditions(fractionated 2Gy).Physicochemical characteristics of niosomes containing SeNPs and ODNs showed that it is synthesized appropriately.It revealed that the anticancer effect of NISM@Chi-Se-DEC can be significantly improved in combination with X-ray irradiation treatment.It can be concluded that NISM@Chi-Se-DEC nanocarriers have the potential as a therapeutic agent for cancer treatment,particularly in combination with radiation therapy and in-vivo experiments are necessary to confirm the efficacy of this nano-drug.

关键词： Combinational therapy Antisense therapy Myc signaling pathway Niosomes Radiation therapy SeNPs

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A Deep Reinforcement Learning-Based Technique for Optimal Power Allocation in Multiple Access Communications

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Intelligent Automation & Soft Computing 2024年第1期39卷 93-108页

作者： Sepehr Soltani Ehsan Ghafourian Reza Salehi Diego Martín milad Vahidi Department of Industrial Engineering College of EngineeringUniversity of HoustonHoustonTX77204USA Department of Computer Science Iowa State UniversityAmesIowaUSA ETSI de Telecomunicación Universidad Politécnica de MadridMadridSpain Faculty of School of Plant and Environmental Sciences Virginia Polytechnic Institute and StateUniversityBlacksburgVirginia24060USA

Formany years,researchers have explored power allocation(PA)algorithms driven bymodels in wireless networks where multiple-user communications with interference are present.Nowadays,data-driven machine learning methods have become quite popular in analyzing wireless communication systems,which among them deep reinforcement learning(DRL)has a significant role in solving optimization issues under certain constraints.To this purpose,in this paper,we investigate the PA problem in a k-user multiple access channels(MAC),where k transmitters(e.g.,mobile users)aim to send an independent message to a common receiver(e.g.,base station)through wireless channels.To this end,we first train the deep Q network(DQN)with a deep Q learning(DQL)algorithm over the simulation environment,utilizing offline learning.Then,the DQN will be used with the real data in the online training method for the PA issue by maximizing the sumrate subjected to the source power.Finally,the simulation results indicate that our proposedDQNmethod provides better performance in terms of the sumrate compared with the available DQL training approaches such as fractional programming(FP)and weighted minimum mean squared error(WMMSE).Additionally,by considering different user densities,we show that our proposed DQN outperforms benchmark algorithms,thereby,a good generalization ability is verified over wireless multi-user communication systems.

关键词： Deep reinforcement learning deep Q learning multiple access channel power allocation

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Green tea catechins inhibit microglial activation which prevents the development of neurological disorders

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Neural Regeneration Research 2020年第10期15卷 1792-1798页

作者： Tahereh Farkhondeh Ali Mohammad Pourbagher-Shahri milad ashrafizadeh Silvia Llorens Folgado Ali Rajabpour-Sanati Mohammad Reza Khazdair Saeed Samarghandian Cardiovascular Diseases Research Center Birjand University of Medical SciencesBirjandIran Faculty of Medicine Birjand University of Medical SciencesBirjandIran Department of Basic Science Faculty of Veterinary MedicineUniversity of TabrizTabrizIran Department of Medical Sciences Faculty of Medicine of AlbaceteCentro Regional de Investigaciones Biomedicas(CRIB)University of Castilla-La ManchaAlbaceteSpain Healthy Ageing Research Center Neyshabur University of Medical SciencesNeyshaburIran Department of Basic Medical Sciences Neyshabur University of Medical SciencesNeyshaburIran

The over-activated microglial cells induce neuroinflammation which has the main role in neurological disorders.The over-activated microglia can disturb neuronal function by releasing inflammatory mediators leading to neuronal dysfunctions and death.Thus,inhibition of over-activated microglia may be an effective therapeutic approach for modulating neuroinflammation.Experimental studies have indicated anti-neuroinflammatory effects of flavonoids such as green tea catechins.The current research was aimed to review the effect of green tea catechins in inhibiting microglial cells,inflammatory cascades,and subsequent neurological diseases.

关键词： catechins green tea microglia neuroinflammation neurological disease

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Cardiovascular risk factors affecting COVID-19 outcomes at a tertiary referral hospital in northwest Iran: A prospective cohort study

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Journal of Acute Disease 2024年第1期13卷 8-13页

作者： Mahsa Behnemoon Mojdeh Mehrno Naser Gharebaghi milad Hamdi Department of Cardiology School of MedicineUrmia University of Medical ScienceUrmiaIran Medical Center Urmia University of Medical ScienceUrmiaIran Department of Dermatology and Infectious Disease School of MedicineUrmia University of Medical ScienceUrmiaIran

Objective:To investigate cardiovascular risk factors affecting COVID-19 outcomes in a tertiary referral hospital.Methods:This prospective cohort study analyzed 269 participants with COVID-19.The primary outcomes were ICU admission,prolonged hospital stay duration,and in-hospital death.The secondary outcomes included death,chronic symptoms,and NYHA functional class during follow-up periods.Results:A total of 412 patients with COVID-19 symptoms were enrolled in the study,and out of which 269 patients had complete medical records and positive SARS-CoV-2 PCR test results,fulfilling the study criteria were analyzed.The patients were divided into two groups,with cardiovascular comorbidities(group A,n=122),such as established cardiovascular disease,diabetes mellitus,and hypertension,and without cardiovascular comorbidities(group B,n=147).Binary logistic regression analysis showed that patients with underlying hypertension,diabetes,and established cardiovascular disease had a 1.55(95%CI:1.28-2.26),1.62(95%CI:1.34-2.13),and 1.63(95%CI:1.07-5.34)-fold risk of mortality,respectively in the adjusted model.Conclusions:Hospitalized COVID-19 patients with predisposing cardiovascular risk factors are more susceptible to develop worse outcomes.More attention should be paid to the management and follow-up of these patients.

关键词： COVID-19 Outcome Cardiovascular Chronic symptoms Diabetes mellitus Hypertension

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Comparison among the UECM Model, and the Composite Model in Forecasting Malaysian Imports

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Open Journal of Statistics 2024年第2期14卷 163-178页

作者： Mohamed A. H. milad Hanan Moh. B. Duzan Libyan Authority and Science Research Tripoli Libya The Higher Institute of Science and Technology-Souq Algoma Tripoli Libya

For more than a century, forecasting models have been crucial in a variety of fields. Models can offer the most accurate forecasting outcomes if error terms are normally distributed. Finding a good statistical model for time series predicting imports in Malaysia is the main target of this study. The decision made during this study mostly addresses the unrestricted error correction model (UECM), and composite model (Combined regression—ARIMA). The imports of Malaysia from the first quarter of 1991 to the third quarter of 2022 are employed in this study’s quarterly time series data. The forecasting outcomes of the current study demonstrated that the composite model offered more probabilistic data, which improved forecasting the volume of Malaysia’s imports. The composite model, and the UECM model in this study are linear models based on responses to Malaysia’s imports. Future studies might compare the performance of linear and nonlinear models in forecasting.

关键词： Composite Model UECM ARIMA Forecasting Malaysia

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Lawsone-encapsulated chitosan/polyethylene oxide nanofibrous mat as a potential antibacterial biobased wound dressing

Engineered Regeneration

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Engineered Regeneration 2021年第1期2卷 219-226页

作者： Fatemeh Saniee Abadehie Ali Hasanpour Dehkordi Mahdi Zafari Mitra Bagheri Satar Yousefiasl Samiramis Pourmotabed Leila Mahmoodnia Majid Validi milad ashrafizadeh Ehsan Nazarzadeh Zare Navid Rabiee Pooyan Makvandi Esmaeel Sharifi Cellular and Molecular Research Center Basic Health Science InstituteShahrekord University of Medical SciencesShahrekordIran Social Determinants of Health Research Center Department of Medical-SurgicalFaculty of Nursing and MidwiferyShahrekord University of Medical SciencesShahrekordIran National Cell Bank Pasteur Institute of IranTehranIran School of Dentistry Hamadan University of Medical Sciences*** HamadanIran Department of Emergency Medicine School of MedicineHamadan University of Medical Sciences***HamadanIran Department of Internal Medicine Shahrekord University of Medical SciencesShahrekordIran Department of Medical Laboratory Sciences School of Allied Medical SciencesShahrekord University of Medical SciencesShahrekordIran Faculty of Engineering and Natural Sciences Sabanci UniversityOrta MahalleUniversite Caddesi No.27OrhanliTuzlaIstanbul 34956Turkey Sabanci University Nanotechnology Research and Application Center(SUNUM) TuzlaIstanbul 34956Turkey School of Chemistry Damghan UniversityDamghan 36716-41167Iran Department of Physics Sharif University of TechnologyP.O.Box 11155-9161TehranIran School of Engineering Macquarie UniversitySydneyNew South Wales2109Australia Istituto Italiano di Tecnologia Centre for Materials Interfacesviale Rinaldo Piaggio 3456025 PontederaPisaItaly Department of Tissue Engineering and Biomaterials School of Advanced Medical Sciences and TechnologiesHamadan University of Medical SciencesHamadanIran

Biodegradable and absorptive wound dresses with antibacterial activity are in demand to accelerate wound heal-ing along with eliminating bacterial infection.Plant-derived naphthoquinones compounds such as lawsone have shown sustained antibacterial functions to avoid development of bacterial resistance by reducing pH or attaching to bacterial proteins.Here the nanofibrous mats based on chitosan/polyethylene oxide(PEO)fibers containing various concentrations of lawsone(0,1,3,7,10%wt.)were fabricated by electrospinning for potential applications as wound dressing materials.The results exhibited that the chitosan/PEO/Lawsone nanofibers possess antibacterial activity toward Gram-negative and-positive bacteria.Surprisingly,the addition of lawsone in the proper amount into chitosan/PEO nanofibers not only introduced an antithetical property but also reduced the platform’s cytotoxicity,promoting cell viability of normal human fibroblast cells.Accordingly,the achieved data suggest the potential application of biocompatible nanofibrous mats as an antibacterial wound dressing material.

关键词： Chitosan Lawsone Antibacterial wound dressing Nanofibrous mat

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Applications of thin-film lithium niobate in nonlinear integrated photonics

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Advanced Photonics 2022年第3期4卷 9-26页

作者： milad Gholipour Vazimali Sasan Fathpour University of Central Florida CREOLCollege of Optics and PhotonicsOrlandoFloridaUnited States University of Central Florida Department of Electrical and Computer EngineeringOrlandoFloridaUnited States

Photonics on thin-film lithium niobate(TFLN)has emerged as one of the most pursued disciplines within integrated optics.Ultracompact and low-loss optical waveguides and related devices on this modern material platform have rejuvenated the traditional and commercial applications of lithium niobate for optical modulators based on the electro-optic effect,as well as optical wavelength converters based on secondorder nonlinear effects,e.g.,second-harmonic,sum-,and difference-frequency generations.TFLN has also created vast opportunities for applications and integrated solutions for optical parametric amplification and oscillation,cascaded nonlinear effects,such as low-harmonic generation;third-order nonlinear effects,such as supercontinuum generation;optical frequency comb generation and stabilization;and nonclassical nonlinear effects,such as spontaneous parametric downconversion for quantum optics.Recent progress in nonlinear integrated photonics on TFLN for all these applications,their current trends,and future opportunities and challenges are reviewed.

关键词： lithium niobate thin-film lithium niobate nonlinear integrated optics photonic integrated circuits

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A Novel Modified Fuzzy-predictive Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System

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Chinese Journal of Electrical Engineering 2023年第4期9卷 107-121页

作者： Ehsan Akbari milad Samady Shadlu Department of Electrical Engineering Mazandaran University of Science and TechnologyBabol ***Iran Department of Electrical Engineering Islamic Azad UniversityBojnourd BranchBojnourd ***Iran

A wind energy conversion system(WECS)based on a permanent magnet synchronous generator(PMSG)is an effective solution for renewable energy generation in modern power systems.The main advantages of PMSG include high performance at high and low speeds,minimal control effort owing to lower rotor inertia,self-excitation,high reliability,and simplicity of structure compared with induction generators.However,the intermittent nature of wind energy implies that maximum efficiency is not obtained from this system.Accordingly,maximum power point tracking(MPPT)in wind turbine systems has been proposed to address this problem.Traditional MPPT strategies suffer from severe output power fluctuations,low efficiency,and significant ripples in turbine rotation speed.This paper presents a novel MPPT control strategy based on fuzzy logic control(FLC)and model predictive control(MPC)to extract the maximum power from a PMSG-WECS and control the machine-side and grid-side converters.The simulation results obtained from Matlab/Simulink confirm the superiority of the control model in eliminating the output power fluctuations of the wind generators and accurately tracking the maximum power point.A comparative study between conventional MPPT and control methods is also conducted.

关键词： Maximum power point tracking(MPPT) wind energy conversion system(WECS) permanent magnet synchronous generator(PMSG) fuzzy logic control(FLC) model predictive control(MPC)

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