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Chinese Physics B 2022年第6期31卷 725-735页

作者： Pezhman Sheykholeslami-Nasab Mahdi Davoudi-Darareh mohammad hassan yousefi Faculty of Science Malek Ashtar University of TechnologyShahin-ShahrIran

We present a comprehensive numerical framework for the electrical and optical modeling and simulation of hybrid quantum dot light-emitting diodes(QD-LEDs).We propose a model known as hopping mobility to calculate the carrier mobility in the emissive organic layer doped with quantum dots(QDs).To evaluate the ability of this model to describe the electrical characteristics of QD-LEDs,the measured data of a fabricated QD-LED with different concentrations of QDs in the emissive layer were taken,and the corresponding calculations were performed based on the proposed *** simulation results indicate that the hopping mobility model can describe the concentration dependence of the electrical behavior of the ***,based on the continuity equation for singlet and triplet excitons,the exciton density profiles of the devices with different QD concentrations were ***,the corresponding luminance characteristics of the devices were calculated,where the results are in good agreement with the experimental data.

关键词： hybrid quantum dot light-emitting diode(QD-LED) concentration-dependent hopping mobility effective transport model Gaussian band structure

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The anti-neoplastic effects of metformin modulate the acquired phenotype of fbroblast cells in the breast cancer-normal fbroblast co-culture system

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Oncology Research 2024年第3期32卷 477-487页

作者： SAMANEH MOSTAFAVI ZUHAIR mohammad hassan Department of Immunology Faculty of Medical SciencesTarbiat Modares UniversityTehranIran

Intracellular communications between breast cancer and fibroblast cells were reported to be involved in cancer proliferation,growth,and therapy *** hallmarks of cancer fibroblast interactions,consisting of caveolin 1(Cav1)and mono-carboxylate ransporter 4(MCT4)(metabolic coupling markers),along with IL-6,TGFB,and lactate secretion,are considered robust biomarkers predicting recurrence and *** order to promote a novel phenotype in normal fibroblasts,we predicted that breast cancer cells could be able to cause loss of Cavl and increase of MCT4,as well as elevate IL 6 and TGF in nearby nomal *** created a co culture model using breast cancer(4T1)and normal fibroblast(NIH3T3)cell lines cultured under specific experimental conditions in order to directly test our ***,we show that long-term co-culture of breast cancer cells and normal fibroblasts promotes loss of Cavl and gain of MCT4 in adjacent fibroblasts and increase lactate *** results were validated using the monoculture of each group separately as a *** this system,we show that me tformin inhibits IL-6 and TGFB secretion and re expresses Cavl in both ***,MCT4 and lactate stayed high after treatment with *** conclusion,our work shows that co-culture with breast cancer cells may cause signifcant alterations in the phenotype and secretion of normal ***,however,may change this state and affect fibroblasts'acquired ***,mitochondrial inhibition by metformin after 8 days of treatment,signi ficantly hinders tumor growth in mouse model of breast cancer.

关键词： Caveolin 1 Lactic acid Metformin NIH 3T3 cells Neoplasms

Transparent and Accurate COVID-19 Diagnosis:Integrating Explainable AI with Advanced Deep Learning in CT Imaging

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 3101-3123页

作者： mohammad Mehedi hassan Salman A.AlQahtani Mabrook S.AlRakhami Ahmed Zohier Elhendi Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Science Technology and Innovation Department King Saud UniversityRiyadh11543Saudi Arabia

In the current landscape of the COVID-19 pandemic,the utilization of deep learning in medical imaging,especially in chest computed tomography(CT)scan analysis for virus detection,has become increasingly *** its potential,deep learning’s“black box”nature has been a major impediment to its broader acceptance in clinical environments,where transparency in decision-making is *** bridge this gap,our research integrates Explainable AI(XAI)techniques,specifically the Local Interpretable Model-Agnostic Explanations(LIME)method,with advanced deep learning *** integration forms a sophisticated and transparent framework for COVID-19 identification,enhancing the capability of standard Convolutional Neural Network(CNN)models through transfer learning and data *** approach leverages the refined DenseNet201 architecture for superior feature extraction and employs data augmentation strategies to foster robust model *** pivotal element of our methodology is the use of LIME,which demystifies the AI decision-making process,providing clinicians with clear,interpretable insights into the AI’s *** unique combination of an optimized Deep Neural Network(DNN)with LIME not only elevates the precision in detecting COVID-19 cases but also equips healthcare professionals with a deeper understanding of the diagnostic *** method,validated on the SARS-COV-2 CT-Scan dataset,demonstrates exceptional diagnostic accuracy,with performance metrics that reinforce its potential for seamless integration into modern healthcare *** innovative approach marks a significant advancement in creating explainable and trustworthy AI tools for medical decisionmaking in the ongoing battle against COVID-19.

关键词： Explainable AI COVID-19 CT images deep learning

The global stability and optimal control of the COVID-19 epidemic model

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International Journal of Biomathematics 2024年第1期17卷 1-28页

作者： Fengsheng Chien hassan Saberi Nik mohammad Shiraziant J.F.Gomez-Aguilar School of Finance and Accounting Fuzhou University of International Studies and Trade Fuzhou 352020 P.R.China Faculty of Business City university of Macao Macao 999078P.R.China Department of Mathematics and Statistics University of Neyshabur NeyshaburIran CONACyT-Tecnologico Nacional de Mécico/CENIDET Interior Internado Palmira S/N Col.Palmira C.P.62490CuernavacaMorelosMérico

This paper considers stability analysis of a Susceptible-Exposed-Infected-Recovered-Virus(SEIRV)model with nonlinear incidence rates and indicates the severity and weakness of control factors for disease *** Lyapunov function using Volterra-Lyapunov matrices makes it possible to study the global stability of the endemic equilibrium *** optimal control strategy is proposed to prevent the spread of coronavirus,in addition to governmental *** objective is to minimize together with the quantity of infected and exposed individuals while minimizing the total costs of treatment.A numerical study of the model is also carried out to investigate the analytical results.

关键词： Global stability SEIRV epidemic model dynamical systems Volterra-Lyapunov stability optimal control

Fully flexible implantable neural probes for electrophysiology recording and controlled neurochemical modulation

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Microsystems & Nanoengineering 2024年第3期10卷 317-333页

作者： mohammad hassan Malekoshoaraie Bingchen Wu Daniela DKrahe Zabir Ahmed Stephen Pupa Vishal Jain Xinyan Tracy Cui Maysamreza Chamanzar Electrical and Computer Engineering Carnegie Mellon UniversityPittsburghPA 15213USA Bioengineering University of PittsburghPittsburghPA 15260USA Center for Neural Basis of Cognition University of Pittsburgh and Carnegie Mellon UniversityPittburgh 15213USA McGowan Institute for Regenerative Medicine University of PittsburghPittsburgh 15219USA Carnegie Mellon Neuroscience Institute Carnegie Mellon UniversityPittsburgh 15213USA

Targeted delivery of neurochemicals and biomolecules for neuromodulation of brain activity is a powerful technique that,in addition to electrical recording and stimulation,enables a more thorough investigation of neural circuit *** have designed a novel,flexible,implantable neural probe capable of controlled,localized chemical stimulation and electrophysiology *** neural probe was implemented using planar micromachining processes on Parylene C,a mechanically flexible,biocompatible *** probe shank features two large microelectrodes(chemical sites)for drug loading and sixteen small microelectrodes for electrophysiology recording to monitor neuronal response to drug *** reduce the impedance while keeping the size of the microelectrodes small,poly(3,4-ethylenedioxythiophene)(PEDOT)was electrochemically coated on recording *** addition,PEDOT doped with mesoporous sulfonated silica nanoparticles(SNPs)was used on chemical sites to achieve controlled,electrically-actuated drug loading and *** neurotransmitters,including glutamate(Glu)and gamma-aminobutyric acid(GABA),were incorporated into the SNPs and electrically triggered to release *** in vitro experiment was conducted to quantify the stimulated release profile by applying a sinusoidal voltage(0.5 V,2 Hz).The flexible neural probe was implanted in the barrel cortex of the wild-type Sprague Dawley *** expected,due to their excitatory and inhibitory effects,Glu and GABA release caused a significant increase and decrease in neural activity,respectively,which was recorded by the recording *** novel flexible neural probe technology,combining on-demand chemical release and high-resolution electrophysiology recording,is an important addition to the neuroscience toolset used to dissect neural circuitry and investigate neural network connectivity.

关键词： Parylene recording release

Geometric investigation of entrance proportions of houses from the Qajar to the beginning of the early Pahlavi in Dezful City(1789—1979)

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Frontiers of Architectural Research 2024年第1期13卷 57-78页

作者： Raziyeh Rezadoost Dezfuli mohammad Mehrakizadeh Behnaz Safar Ali Najar hassan Bazazzadeh mohammadjavad Mahdavinejad Department of Architecture Poznan University of Technology61-131 PoznanPoland Department of Architecture and Urban Planning Jundi Shapur University of TechnologyDezfulIran College of Engineering and Architecture University of Nizwa616 Birkat Al MawzOman Department of Architecture Faculty of Art and ArchitectureTarbiat Modares UniversityTehranIran

Due to the importance of the historical context of Dezful City,investigating historic buildings is *** unfortunately,a large part of it is being *** this reason,it is essential to discover the guidelines and logic behind the architectural design of these buildings to help their reconstruction or ***,there is no logical information about the components of this context and the reconstructions are usually done according to taste and based on architecture tested or personal ***,it is necessary to find a logic behind these critical components that support the whole plan or parts of it in a particular *** purpose of this research is to discover and find the logic behind the design of this building in the historical context of *** geometrical proportions can significantly help to reconstruct buildings better and more *** this purpose,30 historical houses of Dezful were randomly selected,and their input information was drawn in 2D form in ***,the length,width,and height proportions were measured,and the obtained ratios were compared with the golden proportions and dynamic *** paper studies entrance based on ratios of√2,√3,√4,√4,√1.25 andφ(the golden section).The results show that golden proportions and proportions derived from dynamic rectangles are present in the wording of all ***,the range of ratios in the plan is from 1.34 to 2,and the content of changes in the section is from 1.22 to *** results can help architects,and particularly building owners,to reconstruct based on existing logic by discovering the proportions of the entrances of the *** is possible to administer a part of the damaged tissue and estimate its dimensions and sizes because the proportions’completeness can help revive half-destroyed historical buildings.

关键词： Proportions Historical houses House entrance Dezful city Qajar period to early Pahlavi

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An Online Fake Review Detection Approach Using Famous Machine Learning Algorithms

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Computers, Materials & Continua 2024年第2期78卷 2767-2786页

作者： Asma hassan Alshehri Department of Computer Sciences College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl KharjSaudi Arabia

Online review platforms are becoming increasingly popular,encouraging dishonest merchants and service providers to deceive customers by creating fake reviews for their goods or *** Sybil accounts,bot farms,and real account purchases,immoral actors demonize rivals and advertise their *** academic and industry efforts have been aimed at detecting fake/fraudulent product or service evaluations for *** primary hurdle to identifying fraudulent reviews is the lack of a reliable means to distinguish fraudulent reviews from real *** paper adopts a semi-supervised machine learning method to detect fake reviews on any website,among other *** reviews are classified using a semi-supervised approach(PU-learning)since there is a shortage of labeled data,and they are ***,classification is performed using the machine learning techniques Support Vector Machine(SVM)and Nave *** performance of the suggested system has been compared with standard works,and experimental findings are assessed using several assessment metrics.

关键词： Security fake review semi-supervised learning ML algorithms review detection

Stable Isotopic Signatures of NO₃ in Waste Water Effluent and Los Angeles River

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Journal of Water Resource and Protection 2024年第1期16卷 102-122页

作者： Isaac Hall mohammad hassan Rezaie Boroon Department of Geography Geology and Environment California State University Los Angeles California USA

A metropolitan city such as Los Angeles (LA) is an ideal study site with a very high population density, and it houses at least 3 treatment plants where sewage is treated preliminarily and then progressing to tertiary treatment before discharging into the LA River. We will gain a better understanding of the water quality in the LA River and the nitrate load in the watershed system by examining the influence of waste water treatment plants (WWTPs). The goal of this study is to pinpoint the exact source of nitrate in the LA River using the isotope signatures. We have selected sampling locations both upstream and downstream of the WWTP. This serves to monitor nitrate levels, aiding in the assessment of treatment plant effectiveness, pinpointing nitrate pollution sources, and ensuring compliance with environmental regulations. The research explores the isotopic composition of NO3 in relation to atmospheric nitrogen and Vienna Standard Mean Ocean Water, shedding light on the contributions from various sources such as manure, sewage, soil organic nitrogen, and nitrogen fertilizers. Specifically, there is a change in the δ15NAir value between the dry and wet seasons. The isotope values in the Tillman WWTP sample changed between dry and wet seasons. Notably, the presence of nitrate originating from manure and sewage is consistent across seasons, emphasizing the significant impact of anthropogenic and agricultural activities on water quality. This investigation contributes to the broader understanding of nitrogen cycling in urban water bodies, particularly in the context of wastewater effluent discharge. The findings hold implications for water quality management and highlight the need for targeted interventions to mitigate the impact of nitrogen-containing compounds on aquatic ecosystems. Overall, the study provides a valuable framework for future research and environmental stewardship efforts aimed at preserving the health and sustainability of urban water resources. This

关键词： Metropolitan City Los Angeles Treatment Plants Sewage Treatment Nitrate Source Isotope Signatures Water Quality

Auto-tuning PVT data using multi-objective optimization: Application of NSGA-Ⅱ algorithm

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Petroleum 2024年第1期10卷 135-149页

作者： Abdolhadi Zarifi mohammad Madani mohammad Jafarzadegan Reservoir Engineering Systems Petroleum Engineering Department Main Office Building of National Iranian South Oil Company (NISOC) Combined Planning Management National Iranian Oil Company (NIOC) Reservoir Engineering Division Petroleum Engineering Department Petroleum Engineering and Development Company (PEDEC)

Reservoir simulation is known as perhaps the most widely used, accurate, and reliable method for field development in the petroleum industry. An integral part of a reliable reservoir simulation process is to consider robust and rigorous tuned EOS models. Traditionally, EOS models are tuned iteratively through arduous workflows against experimental PVT data. However, this comes with a number of drawbacks such as forcingly using weight factors, which upon alteration adversely affects the optimization *** objective of the current work is thus to introduce an auto-tune PVT matching tool using NSGA-II multi-objective optimization. In order to illustrate the robustness of the presented technique, three different PVT samples are used, including two black-oil and one gas condensate sample. We utilize PengRobinson EOS during all the manual and auto-tuning processes. Comparison of auto-tuned EOS-generated results with those of experimental and computed statistical error values for these samples clearly show that the proposed method is robust. In addition, the proposed method, contrary to the manual matching process, provides the engineer with several matched solutions, which allows them to select a match based on the engineering background to be best amenable to the problem at hand. In addition, the proposed technique is fast, and can output several solutions within less time compared to the traditional manual matching method.

关键词： Auto-tuning PVT Equation of state NSGA-II Multi-objective optimization

Investigation of material composition,design,and performance of open-graded asphalt mixtures for semi-flexible pavement:A comprehensive experimental study

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第1期11卷 92-116页

作者： mohammad Taghipoor Abolfazl hassani mohammad M.Karimi Department of Civil and Environmental Engineering Tarbiat Modares UniversityTehranIran

The primary goal of this study is the design and construction of semi-flexible pavement(SFP)mixture in accordance with the engineering and mechanical *** study involves the use of a range of gradation curves,air void contents,cellulose and synthesized fibers,and neat and modified asphalt binders to prepare the open-graded asphalt(OGA)*** analyze the characteristics of these mixtures,a variety of test,namely binder drainage,semi-circular bending(SCB),Cantabro,wheel tracking,indirect tensile strength(ITS),and permeability tests were ***,to analyze the prepared grouting material,flexural strength,compressive strength,and fluidity tests were *** the final stage,SFP was compared to HMA in terms of engineering characteristics and *** to the results,SFP was more resistant to skid,rutting,fire,and moisture damage,while HMA had a better performance in fracture tests,including SCB *** to the results of the mechanical performance tests conducted on OGA mixtures,the highest and lowest values for air void content to achieve the highest mechanical performance level were 30%-35%and 25%,***,based on the laboratory results,it was determined that the required void ratio for constructing OGA mixtures was 24%-26%based on the bitumen type and fibers amount in the ***,SFP mixture can be regarded as a viable alternative to common pavements thanks to its high resistance to rutting and moisture damage,long freezing-thawing fatigue life,and adequate fire and skid resistance.

关键词： Semi-flexible pavement mixture Open-graded asphalt mixture Engineering properties Cantabro test Hot mix asphalt

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