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A new two-axis solar tracker based on the online optimization method:Experimental investigation and neural network modeling

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Energy and AI 2023年第4期14卷 341-359页

作者： Amir Pouya Masoumi Vahid Bagherian Ali Reza Tavakolpour-Saleh elham masoomi Department of Mechanical and Aerospace Engineering Shiraz University of TechnologyShirazIran Department of Mechanical Engineering Shiraz UniversityShirazIran Department of Computer Engineering Qazvin BranchIslamic Azad UniversityQazvinIran

This article presents a new two-axis solar tracker based on an online optimization algorithm so as to track the position of the sun without using its movement *** this research,four well-known optimization algorithms are employed to find the two unknown parameters named azimuth and zenith angles,which determine the position of the *** magnitude of the sunray is considered as the cost function of all ***,several experiments are carried out to find the best optimization algorithm with optimal population size,number of iterations,and also the best initialization *** initialization leads to faster convergence compared to random *** results clearly show that the particle swarm optimization algorithm with a population size of 15 and 7 iterations using uniform initialization method has better performance than the other algorithms,with a convergence time of less than 40 *** average fitness value or voltage received by the tracker is 2.4 Volts in this method,which is higher than other *** also performs well with a population size of 15 and 7 ***,the artificial neural network with one hidden layer and 20 neurons is employed to predict these two parameters in each day and moment in a year in Shiraz city according to the experimental data extracted from *** of the day from January and the time are inputs and zenith and azimuth angles are considered the output of neural network *** performance of the proposed ANN model is evaluated using regression plots,demonstrating a strong correlation between predicted and target ***,the outcomes reveal the feasibility of using online optimization algorithms and neural network modeling in an effort to bypass the complex mathematical model of mechatronic systems and predict the movement of the sun automatically.

关键词： Intelligent two-axis solar tracker Optimization algorithm Particle swarm optimization algorithm Online optimization method Artificial neural network

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Data-Based Filters for Non-Gaussian Dynamic Systems With Unknown Output Noise Covariance

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 866-877页

作者： elham Javanfar Mehdi Rahmani the Department of Electrical Engineering Imam Khomeini International UniversityQazvin ***Iran

This paper proposes linear and nonlinear filters for a non-Gaussian dynamic system with an unknown nominal covariance of the output *** challenge of designing a suitable filter in the presence of an unknown covariance matrix is addressed by focusing on the output data set of the *** that data generated from a Gaussian distribution exhibit ellipsoidal scattering,we first propose the weighted sum of norms(SON)clustering method that prioritizes nearby points,reduces distant point influence,and lowers computational ***,by introducing the weighted maximum likelihood,we propose a semi-definite program(SDP)to detect outliers and reduce their impacts on each *** these weights paves the way to obtain an appropriate covariance of the output ***,two filtering approaches are presented:a cluster-based robust linear filter using the maximum a posterior(MAP)estimation and a clusterbased robust nonlinear filter assuming that output noise distribution stems from some Gaussian noise resources according to the ellipsoidal *** last,simulation results demonstrate the effectiveness of our proposed filtering approaches.

关键词： Data-based filter maximum likelihood estimation unknown covariance weighted maximum likelihood estimation weighted sum-of-norms clustering

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Identification of time-varying system and energy-based optimization of adaptive control in seismically excited structure

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Earthquake Engineering and Engineering Vibration 2024年第1期23卷 227-240页

作者： elham Aghabarari Fereidoun Amini Pedram Ghaderi Department of Civil Engineering Iran University of Science and TechnologyTehran 16844Iran

The combination of structural health monitoring and vibration control is of great importance to provide components of smart *** synthetic algorithms have been proposed,adaptive control that is compatible with changing conditions still needs to be used,and time-varying systems are required to be simultaneously estimated with the application of adaptive *** this research,the identification of structural time-varying dynamic characteristics and optimized simple adaptive control are ***,reduced variations of physical parameters are estimated online using the multiple forgetting factor recursive least squares(MFRLS)***,the energy from the structural vibration is simultaneously specified to optimize the control force with the identified parameters to be *** is also performed based on the probability density function of the energy under the seismic excitation at any ***,the optimal control force is obtained by the simple adaptive control(SAC)algorithm and energy coefficient.A numerical example and benchmark structure are employed to investigate the efficiency of the proposed *** simulation results revealed the effectiveness of the integrated online identification and optimal adaptive control in systems.

关键词： integrated online identification time-varying systems structural energy multiple forgetting factor recursive least squares optimal simple adaptive control algorithm

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A review of the literature on the use of CRISPR/Cas9 gene therapy to treat hepatocellular carcinoma

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Oncology Research 2024年第3期32卷 439-461页

作者： elham AMJAD RAFAELE PEZZANI BABAK SOKOUTI Biotechnology Research Center Tabriz University of Medical SciencesTabriz***Iran Phytotherapy Lab Endocrinology UnitDipartimento di Medicina(DIMED)University of PadovaVia Ospedale 105Padova35128Italy Associazione Italiana Per La Ricerca Oncologica Di Base Associazione Italiana Per La Ricerca Oncologica Di BasePadova35128Italy

Noncoding RNAs instruct the Cas9 nuclease to site speifillyl cleave DNA in the CRISPR/Cas9 *** the high incidence of hepatocellular carcinoma(HCC),the patient's outcome is *** a result of the emergence of therapeutic resistance in HCC patients,dlinicians have faced difficulties in treating such *** addition,CRISPR/Cas9 screens were used to identify genes that improve the dlinical response of HCC *** is the objective of this article to summarize the current understanding of the use of the CRISPR/Cas9 system for the treatment of cancer,with a particular emphasis on HCC as part of the current state of ***,in order to locate recent developments in oncology research,we examined both the Scopus database and the PubMed *** ability to selectively interfere with gene expression in combinatorial CRISPR/Cas9 screening can lead to the discovery of new effective HCC treatment regimens by combining clinically approved *** resistance can be overcome with the help of the CRISPR/Cas9 *** signature genes and resistance to treatment have been uncovered by genome-scale CRISPR activation screening although this method is not without *** has been extensively examined whether CRISPR can be used as a tool for disease research and gene *** and its applications to tumor research,particularly in HCC,are examined in this study through a review of the literature.

关键词： CRISPR/Cas9 system Gene therapy Tumor Hepatocellular carcinoma Liver cancer Gene editing

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Black radish root extract alleviates sodium valproate-induced liver damage via inhibiting mitochondrial membrane potential collapse and oxidative stress in mice

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Asian Pacific Journal of Tropical Biomedicine 2024年第7期14卷 298-306页

作者： Mohammad Hadi Zarei Sami Akbulut Maryam Zafari elham Saghaei Zahra Lorigooini Hossein AminiKhoei Somaye Khosravi elham Bijad Medical Plants Research Center Basic Health Sciences InstituteShahrekord University of Medical SciencesShahrekordIran Department of Liver Transplant Institute and Biostatistics Inonu University Faculty of Medicine44280MalatyaTurkey Student Research Committee Shahrekord University of Medical SciencesShahrekordIran Physiology and Pharmacology Department School of MedicineShahrekord University of Medical SciencesShahrekordIran Department of Anatomical Sciences School of MedicineShahrekord University of Medical SciencesShahrekordIran

Objective:To explore the effect of black radish(Raphanus sativus *** niger)root extract on liver enzymes,oxidative stress,and histopathological alterations in mice with sodium valproate-induced ***:Thirty-two mice were divided into four groups:the control group received drinking water by gavage,the second group was administered with 100 mg/kg of sodium valproate,the third group received 300 mg/kg of black radish root extract,and the fourth group was given both sodium valproate(100 mg/kg)and black radish root extract(300 mg/kg).After 28 days,the mice were euthanized,and serum levels of aspartate aminotransferase(AST),alanine aminotransferase(ALT),and alkaline phosphatase(ALP),along with liver malondialdehyde(MDA),reactive oxygen species(ROS),mitochondrial parameters,tumor necrosis factor-alpha(TNF-α)gene expression,and histopathological changes were ***:Sodium valproate caused hepatic damage in mice,characterized by elevated serum levels of liver enzymes,increased MDA and ROS levels and TNF-αgene expression,as well as histopathological *** black radish root extract significantly alleviated sodium valproate-caused hepatic injury by decreasing the serum levels of ALT and AST,MDA,ROS,TNF-αgene expression,as well as mitochondrial impairment,but did not have a significant effect on sodium valproate-induced histopathological ***:The black radish root extract demonstrates protective effects against sodium valproate-induced liver injury,possibly through mitigating oxidative stress,mitochondrial impairment,and inflammatory mediator expression.

关键词： Black radish Raphanus sativus Sodium valproate Hepatotoxicity Oxidative stress Anti-inflammation

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MicroRNAs in thyroid cancer with focus on medullary thyroid carcinoma:potential therapeutic targets and diagnostic/prognostic markers and web based tools

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Oncology Research 2024年第6期32卷 1011-1019页

作者： elham SHAKIBA SETI BOROOMAND SIMA KHERADMAND KIA MEHDI HEDAYATI Department of Biochemistry Faculty of Biological SciencesNorth Tehran BranchIslamic Azad UniversityTehran***Iran Department of Pathology and Laboratory Medicine Vancouver General HospitalVancouverV5Z 1M9Canada Department of Blood Cell Research Laboratory for Red Blood Cell DiagnosticsSanquinAmsterdam1006 ANThe Netherlands Cellular and Molecular Endocrine Research Center Research Institute for Endocrine SciencesShahid Beheshti University of Medical SciencesTehran***Iran

This review aimed to describe the inculpation of microRNAs(miRNAs)in thyroid cancer(TC)and its subtypes,mainly medullary thyroid carcinoma(MTC),and to outline web-based tools and databases for bioinformatics analysis of miRNAs in ***,the capacity of miRNAs to serve as therapeutic targets and biomarkers in TC management will be *** review is based on a literature search of relevant articles on the role of miRNAs in TC and its subtypes,mainly ***,web-based tools and databases for bioinformatics analysis of miRNAs in TC were identified and *** can perform as oncomiRs or antioncoges,relying on the target mRNAs they *** replacement therapy using miRNA mimics or antimiRs that aim to suppress the function of certain miRNAs can be applied to correct miRNAs aberrantly expressed in diseases,particularly in *** are involved in the modulation of fundamental pathways related to cancer,resembling cell cycle checkpoints and DNA repair *** are also rather stable and can reliably be detected in different types of biological materials,rendering them favorable diagnosis and prognosis biomarkers as *** have emerged as promising tools for evaluating medical outcomes in TC and as possible therapeutic *** contribution of miRNAs in thyroid cancer,particularly MTC,is an active area of research,and the utility of web applications and databases for the biological data analysis of miRNAs in TC is becoming increasingly important.

关键词： Thyroid cancer MicroRNAs Biomarker Bioinformatics analysis Medullary thyroid carcinoma(MTC) OncomiRs Antioncoges

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Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm, Transfer Learning, and Model Compression

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2519-2547页

作者： Hassen Louati Ali Louati elham Kariri Slim Bechikh College of Information Technology Kingdom UniversityRiffa40434Bahrain SMART Lab University of TunisISGTunisTunisia Department of Information Systems College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia

Recent developments in Computer Vision have presented novel opportunities to tackle complex healthcare issues,particularly in the field of lung disease *** promising avenue involves the use of chest X-Rays,which are commonly utilized in *** fully exploit their potential,researchers have suggested utilizing deep learning methods to construct computer-aided diagnostic ***,constructing and compressing these systems presents a significant challenge,as it relies heavily on the expertise of data *** tackle this issue,we propose an automated approach that utilizes an evolutionary algorithm(EA)to optimize the design and compression of a convolutional neural network(CNN)for X-Ray image *** approach accurately classifies radiography images and detects potential chest abnormalities and infections,including ***,our approach incorporates transfer learning,where a pre-trainedCNNmodel on a vast dataset of chest X-Ray images is fine-tuned for the specific task of detecting *** method can help reduce the amount of labeled data required for the task and enhance the overall performance of the *** have validated our method via a series of experiments against state-of-the-art architectures.

关键词： Computer-aided diagnosis deep learning evolutionary algorithms deep compression transfer learning

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Examining the Effect of Hydroalcoholic Extract of Dracaena cinnabari on Sex Hormones and Ovarian and Uterine Tissues of Rats

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World Journal of Traditional Chinese Medicine 2024年第2期10卷 213-219页

作者： elham Najafi Bahareh Babaei Hoolari Akbar Karimi Aliasghar Pilehvarian Department of Cellular Biology Genesis Evolution-Develoment Isfahan Payame Noor University IsfahanIran Department of Anatomy School of MedicineTehran University of Medical SciencesTehranIran Department of Biology Group Faculty Member of Isfahan Payame Noor UniversityIsfahanIran

Introduction: Dracaena cinnabari is considered a rich source of phytochemicals used widely in traditional medicine. In the present study, the effect of D. cinnabari hydraulic extract on the reproductive system of female rats was investigated. Methods: The samples were randomly divided into four groups(six samples in each group), including three treatment groups and one control group, and all samples were kept at the same conditions. Hydraulic extract of D. cinnabari and injected intraperitoneally daily for 10 days, while physiological serum was used for injection in to the control group. After 10 days of injection, estrogen and progesterone levels were measured by enzyme immunoassay technique. After dissection, the ovaries and uterine tissues were isolated for histological examination, and tissue changes were carefully examined. Results: The results revealed that the levels of estrogen and progesterone in experimental Groups 2 and 3 had a significant increase(P < 0.001). Regarding tissue changes, a significant increase was observed in epithelial thickness(P < 0.001), number of corpus luteum(P < 0.01), and Graafian follicle(P < 0.01) in doses of 100 and 150 mg/kg. Conclusions: Based on the results, it seems that D. cinnabari extract has an effect on the ovarian follicles.

关键词： Dracaena cinnabari herbal medicine ovarian tissues reproductive sex hormones

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BSN:The First Light Curve Analysis of the Total Eclipse Binary System EL Tuc

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Research in Astronomy and Astrophysics 2024年第10期24卷 66-75页

作者： elham Sarvari Eduardo Fernández Lajús Atila Poro Independent researcher TehranIran Instituto de Astrofísica de La Plata(CCT La Plata-CONICET-UNLP) La PlataArgentina BSN Project &Astronomy Department of the Raderon AI Lab.BurnabyBCCanada

We conducted the first light curve study of the binary star EL Tuc within the Binary Systems of South and North project's *** photometric observations were made using standard multiband BVR_cI_c filters at an observatory in *** presented a new ephemeris for EL Tuc and a linear fit to the O–C diagram,utilizing our extracted times of minima and additional *** employed the PHysics Of Eclipsing BinariEs Python code and the Markov chain Monte Carlo approach for the system's light curve *** target system's light curve solution required a cold starspot on the hotter *** conclude that EL Tuc is a total contact binary system with a low mass ratio of q=0.172±0.002,an orbital inclination of i=83°.74±0°.40,and a fillout factor of f=53.7%±1.6%.We used the P-a relationship and the Gaia Data Release 3 parallax method to determine the absolute parameters of EL Tuc to compare the precision of our *** system was classified as W-type based on the mass and effective temperature of the companion *** positions of the systems were depicted on the M-L,M-R,T-M,and *** relationship between the spectroscopic and photometric mass ratios of binaries was discussed.

关键词： (stars:)binaries:eclipsing stars:individual(EL Tuc) line:identification

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Targeted anti-tumor synergistic effects of Myc decoy oligodeoxynucleotides-loaded selenium nanostructure combined with chemoradiotherapy on LNCaP prostate cancer cells

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Oncology Research 2024年第1期32卷 101-125页

作者： ROGHAYEH GHORBANI MAHMOUD GHARBAVI ALI SHARAFI elham RISMANI HAMED REZAEEJAM YOUSEF MORTAZAVI BEHROOZ JOHARI Department of Medical Biotechnology School of MedicineZanjan University of Medical SciencesZanjanIran Nanotechnology Research Center Ahvaz Jundishapur University of Medical SciencesAhvazIran Zanjan Pharmaceutical Biotechnology Research Center Zanjan University of Medical SciencesZanjanIran Department of Pharmaceutical Biotechnology School of PharmacyZanjan University of Medical SciencesZanjanIran Molecular Medicine Department Biotechnology Research CenterPasteur Institute of IranPasteur AvenueTehranIran Department of Radiology Technology School of Allied Medical SciencesZanjan University of Medical SciencesZanjanIran

In the present study,we investigated the synergistic effects of targeted methotrexate-selenium nanostructure containing Myc decoy oligodeoxynucleotides along with X-irradiation exposure as a combination therapy on LNCaP prostate cancer *** decoy ODNs were designed based on the promoter of Bcl-2 gene and analyzed by molecular docking and molecular dynamics *** were loaded on the synthesized Se@BSA@Chi-MTX *** physicochemical characteristics of nanostructures were determined by FTIR,DLS,UV-vis,TEM,EDX,in vitro release,and hemolysis ***,the cytotoxicity properties of them with and without X-irradiation were investigated by uptake,MTT,cell cycle,apoptosis,and scratch assays on the LNCaP cell *** results of DLS and TEM showed negative charge(−9 mV)and nanometer size(40 nm)for Se@BSA@Chi-DEC-MTX NPs,*** results of FTIR,UV-vis,and EDX showed the proper interaction of different parts and the correct synthesis of *** results of hemolysis showed the hemocompatibility of this nanoparticle in concentrations less than 6 mg/*** ODNs release from the nanostructures showed a pH-dependent manner,and the release rate was 15%higher in acidic *** targeted Se@BSA@Chi-labeled ODN-MTX NPs were efficiently taken up by LNCaP cells by targeting the prostate-specific membrane antigen(PSMA).The significant synergistic effects of nanostructure(containing MTX drug)treatment along with X-irradiation showed cell growth inhibition,apoptosis induction(~57%),cell cycle arrest(G2/M phase),and migration inhibition(up to 90%)compared to the *** results suggested that the Se@BSA@Chi-DEC-MTX NPs can potentially suppress the cell growth of LNCaP *** nanostructure system can be a promising approach for targeted drug delivery and chemoradiotherapy in prostate cancer treatment.

关键词： Chemoradiotherapy Combination therapy Decoy oligodeoxynucleotides Myc transcription factor Selenium nanoparticle Prostate cancer

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