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Chinese Journal of Chemical Engineering 2018年第1期26卷 168-174页

作者： Fatemeh Ahmadi Mohsen Pirdashti Abbas ali rostami Chemical Engineering Department Faculty of EngineeringShomal University

New liquid-liquid equilibrium data for polyethylene glycol （PEG） 3000 ＋ CHO2K ＋ H20 systems were measured at 298.15 K and pH values of 7.95, 8.40 and 9.98. It was found that an increase in pH caused the binodal curve to be displaced downward and the two-phase region to expand. Accordingly, the binodal curve was adjusted to the Pirdashti equation and the tie-line compositions were correlated using the Othmer-Tobias, Bancroft and Hand equations. The study measured the refractive index and densities of several homogeneous binary and ternary solutions. The solutions were used for calibration within a range of 0% to 30% of the mass of the PEG and potassium formate. The density and refractive index data show a linear variation with the mass fraction of the polymer and the salt. The effect of pH on the binodal, tie-line lengths （TLL） and slope of the tie-line （STL） in the systems was exam- ined. It was found that an increase in pH increased the TLL and decreased the STL It was observed that the density of the aqueous two-phase system was influenced by the TLL The difference in density between phases （△p） increased as the TLL and pH increased. It was found that the TLL and Ap showed a linear relationship. The effective excluded volume （EEV） of the PEG was obtained and it was found that EEV also increased as the pH increased.

关键词： Liquid-liquid equilibrium data Density Polyethylene glycol Potassium formate

Design and optimization of graphene quantum dot-based luminescent solar concentrator using Monte-Carlo simulation

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Energy and Built Environment 2023年第2期4卷 140-147页

作者： Milad Rastkar Mirzaei ali rostami Samiye Matloub Masoumeh Nazari ECE Department University of OklahomaNormanOklahoma73019United States Photonics and Nanocrystals Research Lab(PNRL) University of TabrizTabriz***Iran SP-EPT Lab ASEPE CompanyIndustrial Park of Advanced TechnologiesTabrizIran Quantum Photonics Research Lab(QPRL) University of TabrizTabriz***Iran

The demand for green energy is growing these days as a result of the world energy crisis,as well as global *** cells are in great interest due to the fact that solar energy can be easily converted to electricity,if the photovoltaic cell’s cost can be *** of the methods to make low-cost energy is using Luminescent solar *** have the advantage of directly integrating solar cells to dense urban areas as well as *** materials and waveguide sizes have been investigated for use in luminescent solar ***,the optimized waveguide geometry and quantum dots concentrators have not been thoroughly *** this paper,we have simulated graphene quantum dots using density function theory.A Monte-Carlo ray-tracing simulation was developed to model our *** have optimized the luminescent solar concentrator geometry by Monte-Carlo *** optimization results show a 99%enhancement in the energy flux gain of the final ***,we have calculated and analyzed the fate of all photons.

关键词： Luminescent solar concentrator Solar cell Quantum dot Graphene Energy-efficient building Monte Carlo

Global prevalence of Ascaris infection in humans(2010–2021):a systematic review and meta-analysis

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Infectious Diseases of Poverty 2022年第6期11卷 94-95页

作者： Celia Holland Mahdi Sepidarkish Gwendoline Deslyper ali Abdollahi Soghra Valizadeh Abolfazl Mollalo Sanaz Mahjour Sahar Ghodsian ali Ardekani Hamed Behniafar Robin B.Gasser ali rostami 不详 Department of Veterinary Biosciences Melbourne Veterinary SchoolFaculty of Veterinary and Agricultural SciencesThe University of MelbourneParkvilleVICAustralia Infectious Diseases and Tropical Medicine Research Center Health Research InstituteBabol University of Medical SciencesBabolIran

Background:Ascariasis is one of the most important neglected tropical diseases of humans *** epidemiology of Ascaris infection appears to have changed with improvements in sanitation and mass drug administration,but there is no recent information on prevalence ***,we performed a systematic review and meta-analysis to assess the global prevalence of human Ascaris infection from 2010 to ***:We searched MEDLINE/PubMed,and Scopus databases for studies measuring prevalence of Ascaris infection,published between 1 January 2010 and 1 January *** included studies of the general human population in endemic regions,which used accepted coprodiagnostic methods,and excluded studies of people with occupations with an increased risk or probability of ascariasis and/or specifc diseases other than *** applied randomefects models to obtain pooled prevalence estimates for six sustainable development goal regions of the *** extrapolated the prevalence estimates to the global population in 2020,to estimate the number of individuals with Ascaris *** conducted multiple subgroup and meta-regression analyses to explore possible sources of heterogeneity,and to assess relationships between prevalence estimates and demographic,socio-economic,geoclimatic ***:Of 11,245 studies screened,we analysed 758 prevalence estimates for a total number of 4,923,876 participants in 616 studies from 81 *** global prevalence estimated was 11.01%(95%confdence interval:10.27–11.78%),with regional prevalences ranging from 28.77%(7.07–57.66%)in Melanesia(Oceania)to 1.39%(1.07–1.74%)in Eastern *** estimated that~732(682–782)million people harboured Ascaris worldwide in *** infected people in Latin America and the Caribbean region had a higher prevalence of high intensity infection(8.4%,3.9–14.1%).Prevalence estimates were higher in children,and people in rural communities or in countries or regions with lower income and human d

关键词： Ascaris Global prevalence Intensity of infection Systematic review Meta-analysis

Pro and anti-inflammatory diets as strong epigenetic factors in inflammatory bowel disease

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World Journal of Gastroenterology 2024年第27期30卷 3284-3289页

作者： Adele rostami Kristen White Kamran rostami Digestive Health Clinic Palmerston North 4410New Zealand Digestive Health Clinic&Kōtare Wellness Ltd Palmerston North 4410New Zealand Department of Gastroenterology Palmerston North HospitalPalmerston North 4442New Zealand

Inflammatory bowel disease(IBD)is the consequence of a complex interplay between environmental factors,like dietary habits,that alter intestinal microbiota in response to luminal antigens in genetically susceptible *** represents an auspicious area for the discovery of how environmental factors influence the pathogenesis of inflammation,prognosis,and response to ***,it relates to gene expression control in response to environmental *** increasing number of patients with IBD globally is indicative of the negative effects of a food supply rich in trans and saturated fats,refined su-gars,starches and additives,as well as other environmental factors like seden-tarism and excess bodyweight,influencing the promotion of gene expression and increasing DNA hypomethylation in *** many genetic variants are now associated with Crohn's disease(CD),new therapeutic strategies targeting modi-fiable environmental triggers,such as the implementation of an anti-inflammatory diet that involves the removal of potential food antigens,are of growing interest in the current ***,as a strong epigenetic factor in the pathogenesis of inflammatory disorders like IBD,provides novel insights into the pathophysio-logy of intestinal and extraintestinal inflammatory disorders.

关键词： Inflammatory bowel disease Epigenetic Anti-inflammatory diet Immunogenetics Microbiome Polymeric diet Elemental diet

Leveraging machine learning for early recurrence prediction in hepatocellular carcinoma:A step towards precision medicine

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World Journal of Gastroenterology 2024年第5期30卷 424-428页

作者： Abhimati Ravikulan Kamran rostami epartment of Gastroenterology Palmerston North HospitalPalmerston North 4442New Zealand

The high rate of early recurrence in hepatocellular carcinoma(HCC)post curative surgical intervention poses a substantial clinical hurdle,impacting patient outcomes and complicating postoperative *** advent of machine learning provides a unique opportunity to harness vast datasets,identifying subtle patterns and factors that elude conventional prognostic *** learning models,equipped with the ability to analyse intricate relationships within datasets,have shown promise in predicting outcomes in various medical *** the context of HCC,the application of machine learning to predict early recurrence holds potential for personalized postoperative care *** editorial comments on the study carried out exploring the merits and efficacy of random survival forests(RSF)in identifying significant risk factors for recurrence,stratifying patients at low and high risk of HCC recurrence and comparing this to traditional COX proportional hazard models(CPH).In doing so,the study demonstrated that the RSF models are superior to traditional CPH models in predicting recurrence of HCC and represent a giant leap towards precision medicine.

关键词： Machine learning Artificial intelligence Hepatocellular carcinoma Hepatology Early recurrence Liver resection

A machine learning-guided design and manufacturing of wearable nanofibrous acoustic energy harvesters

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Nano Research 2024年第10期17卷 9181-9192页

作者： Negar Hosseinzadeh Kouchehbaghi Maryam Yousefzadeh aliakbar Gharehaghaji Safoora Khosravi Danial Khorsandi Reihaneh Haghniaz Ke Cao Mehmet R.Dokmeci Mohammad rostami ali Khademhosseini Yangzhi Zhu Terasaki Institute for Biomedical Innovation Los AngelesCA 91367USA Department of Textile Engineering Amirkabir University of Technology(Tehran Polytechnic)Hafez Avenue*** TehranIran Department of Electrical and Computer Engineering University of British ColumbiaVancouverBC V6T1Z4Canada Chemical Sciences Division Oak Ridge National LaboratoryOak RidgeTN 37831USA Department of Computer Science University of Southern CaliforniaLos AngelesCA 90007USA

Nanofibrous acoustic energy harvesters(NAEHs)have emerged as promising wearable platforms for efficient noise-to-electricity conversion in distributed power energy systems and wearable sound amplifiers for assistive listening ***,their reallife efficacy is hampered by low power output,particularly in the low-frequency range(<1 kHz).This study introduces a novel approach to enhance the performance of NAEHs by applying machine learning(ML)techniques to guide the synthesis of electrospun polyvinylidene fluoride(PVDF)/polyurethane(PU)nanofibers,optimizing their application in wearable *** use a feed-forward neural network along with solving an optimization problem to find the optimal input values of the electrospinning(applied voltage,nozzle-collector distance,electrospinning time,and drum rotation speed)to generate maximum output performance(acoustic-to-electricity conversion efficiency).We first prepared a dataset to train the network to predict the output power given the input variables with high *** introducing the neural network,we fix the network and then solve an optimization problem using a genetic algorithm to search for the input values that lead to the maximum energy harvesting *** ML-guided wearable PVDF/PU NAEH platform can deliver a maximal acoustoelectric power density output of 829μW/cm^(3) within the surrounding noise *** addition,our system can function stably in a broad frequency(0.1-2 kHz)with a high energy conversion efficiency of 66%.Sound recognition analysis reveals a robust correlation exceeding 0.85 among lexically akin terms with varying sound intensities,contrasting with a diminished correlation below 0.27 for words with disparate semantic ***,this work provides a previously unexplored route to utilize ML in advancing wearable NAEHs with excellent practicability.

关键词： wearable electronics acoustic energy harvester machine learning piezoelectric nanogenerator electrospun nanofiber

Use of GIS and BIM for the integration of tunnel designand construction process in conventional tunneling

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Underground Space 2024年第3期16卷 261-278页

作者： Mansour Hedayatzadeh Jamal rostami Vasilis Sarhosis Mojtaba Nematollahi Nabiollah Hajiantilaki Abouzar Shafiepour University of Leeds Leeds LS29JTUK Colorado School of Mines GoldenCO 80401USA University of Minho Guimaraes 4800-058Portugal General Mechanic Company Tehran ***Iran Ettehadrah Consulting Engineers Tehran Q83GVWVIran

This paper presents the development of a framework for the parametric design of tunnels using geographic information system (GIS)mapping and building information modelling (BIM). According to the framework, a parametric representation of each system component (e.g., layers of rock mass, size of excavation, topography, fault geometry, primary lining, secondary lining, rock bolts, etc.) can beincorporated in the GIS model with high levels of detail and used for the automatic generation of numerical models for the design oftunnel construction. This parametric evaluation allows the designer to consider several levels of detail for each component, for the effi-cient design and process optimization in conventional tunneling. Information between parametric analysis and numerical simulations canbe freely exchanged with significantly reduced computational effort while results can be exported into BIM. It is anticipated that the proposed framework could lead to a comprehensive, yet efficient analysis of complex conventional tunneling project using parametric evaluations at the early design stages.

关键词： Geographic information system Building information modelling Conventional tunneling Numerical simulations Parametric analysis

Analysis of CH_(4) and H_(2) Adsorption on Heterogeneous Shale Surfaces Using aMolecular Dynamics Approach

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Fluid Dynamics & Materials Processing 2024年第1期20卷 31-44页

作者： Surajudeen Sikiru Hassan Soleimani Amir rostami Mohammed Falalu Hamza Lukmon Owolabi Afolabi Centre of Subsurface Imaging(CSI) Universiti Teknologi PETRONASTronohPerakMalaysia Department of Geosciences Universiti Teknologi PETRONASBandar Seri IskandarTronohPerakMalaysia Department of Pure&Industrial Chemistry Faculty of Physical SciencesBayero University KanoKanoNigeria Department of Mechanical Engineering Engineering Institute of TechnologyMelbourne Campus VictoriaMelbourneAustralia

Determining the adsorption of shale gas on complex surfaces remains a challenge in molecular simulation *** essentially stem from the need to create a realistic shale structure model in terms of mineral heterogeneityand ***,precise characterization of the competitive adsorption of hydrogen andmethane in shale generally requires the experimental determination of the related adsorptive *** thisstudy,the adsorption of adsorbates,methane(CH_(4)),and hydrogen(H_(2))on heterogeneous shale surface modelsof Kaolinite,Orthoclase,Muscovite,Mica,C_(60),and Butane has been simulated in the frame of a moleculardynamic’s numerical *** results show that these behaviors are influenced by pressure and *** increasing the pressure from 500 to 2000 psi,the sorption effect for CH_(4)significantly increasesbut shows a decline at a certain stage(if compared to H_(2)).The research findings also indicate that raw shalehas a higher capacity to adsorb CH_(4)compared to ***,in shale,this difference is negligible.

关键词： Shale gas adsorption methane hydrogen molecular dynamic sorption

Hybrid robust fault detection and isolation of satellite reaction wheel actuators

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Journal of Control and Decision 2024年第1期11卷 117-131页

作者： H.Abbasi Nozari S.J.Sadati rostami Paolo Castaldi Silvio Simani Faculty of Electrical and Computer Engineering Babol Noshirvani University of TechnologyBabolIran Department of Electrical Electronic and Information EngineeringUniversity of BolognaCesenaItaly Department of Engineering University of FerraraFerraraItaly

In this paper,a combined robust fault detection and isolation scheme is studied for satellite system subject to actuator faults,external disturbances,and parametric *** proposed methodology incorporates a residual generation module,including a bank of filters,into an intelligent residual evaluation ***,residual filters are designed based on an improved nonlinear differential algebraic approach so that they are not affected by external *** residual evaluation module is developed based on the suggested series and parallel ***,a new ensemble classification scheme defined as blended learning integrates heterogeneous classifiers to enhance the performance.A wide range of simulations is carried out in a high-fidelity satellite simulator subject to the constant and time-varying actuator faults in the presence of disturbances,manoeuvres,uncertainties,and *** obtained results demonstrate the effectiveness of the proposed robust fault detection and isolation method compared to the traditional nonlinear differential algebraic approach.

关键词： Robust fault detection and isolation reaction wheels blended learning series and parallel fault detection and isolation forms satellite attitude control system

Modeling and experimental studies of methyl methacrylate polymerization in a tubular reactor

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Chinese Journal of Chemical Engineering 2016年第12期24卷 1655-1663页

作者： Mohamad-Taghi rostami ali Daneshgar Department of Engineering Mohaghegh Ardabili University Daneshgah Street Ardabil lran

In this study, rheological examination of the mixture of a tubular reactor in which methyl methacrylate was polymerized has been studied. The n(flow behavior index) value of Power Law Model of mixture contained in the reactor has been determined within the span of 0.3492 to 0.9889 by curve fitting. Employing these numerical data for velocity profile, the reactor has been modeled. Moreover, the functions of the reactor have been compared in the three modes of plug, mixed and laminar flow. The results obtained in this research indicate that the polymethyl methacrylate mixture contained in the reactor is pseudo-plastic. Moreover, as the conversion grows, the velocity profile starts as a parabolic profile and approaches the plug mode; although it never reaches the plug. The other conclusions borne in this study indicate that when the reactor's radius is decreased, the conversion rate grows. However, as decreasing the radius would also reduce the productions rate, this procedure is not economical. Finally, in this modeling, the amount of conversion is equal to 56.47% at the end and according to its laboratory proportion which is 55.88%, it has reached the conclusion that the modeling duly undertaken is applicable and valid.

关键词： Conversion Laminar flow MMA Modeling Tubular reactor