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Journal of Mountain Science 2024年第9期21卷 3157-3171页

作者： Shahriar KESHTGAR Mahmoud reza HEYHAT Sasan BAGHERI Ebrahim GHOLAMI Seyed Naser RAISOSSADAT Department of Geology Faculty of ScienceUniversity of BirjandBirjand ***Iran Department of Geology Faculty of ScienceUniversity of Sistan and BaluchestanZahedan 98167-45845Iran

The eastern Iranian range,known as the Sistan suture zone in the past,has recently been identified as the Sistan *** Paleogene orogeny is located between the Lut and Afghan *** structural analysis shows that most of the thrusts dip towards the NW so that the Permo-Triassic sediments and Jurassic micro-diorites of the Lut Block overthrusted over the younger *** studies show that the tectonic vergence was from the NW to the SE of the Sechengi area in the NW part of Sistan *** recognized three deformation phases in eastern *** first N-S deformation event(D1)resulted in the formation of tight E-W folds(F1)and associated cleavages(S1).The second E-W deformation event(D2),which occurred in the late Paleogene led to the bending of older structures,including the axial plane of the first-generation folds giving them a new northwest direction(F2).Additionally,the ramp of the first-phase thrusts(striking E-W)was reactivated,acquiring a new NNW orientation and exhibiting SSE tectonic *** third deformation event(D3)resulted in the formation of NNE and WNW conjugate faults in eastern *** consecutive deformation events perpendicular to each other are inconsistent with the models of simple linear orogen presented for eastern Iran(*** of eastern Iran continental crust and subsequence linear collision)and seem more consistent with the buckling orogeny(Orocline).

关键词： Thrust Tectonic vergence Orocline Buckling Sechengi Eastern Iranian ranges.

Rosmarinic acid improves tracheal smooth muscle responsiveness and lung pathological changes in ovalbumin-sensitized rats

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Asian Pacific Journal of Tropical Biomedicine 2024年第3期14卷 100-105页

作者： Vahideh Abbasnia Mohsen Foadoddini Delaram Eslimi Esfahani Mohammad reza Khazdair Shahrbanoo Oryan Department of Biology Payame Noor UniversityTehranIran Cardiovascular Diseases Research Center Birjand University of Medical SciencesBirjandIran Department of Animal Sciences Faculty of Biological SciencesKharazmi UniversityTehranIran

Objective:To evaluate the effect of rosmarinic acid on tracheal smooth muscle responsiveness and lung pathological changes in ovalbumin-sensitized ***:Rats were randomly divided into six groups:the control group,the asthmatic group,and the asthmatic groups treated with dexamethasone(1 mg/kg;oral gavage)or three doses of rosmarinic acid(0.5,1,and 2 mg/kg;oral gavage).For induction of asthma,rats received intraperitoneal injections and inhalation of *** 21 days,bronchoalveolar lavage fluid and lung samples were collected for histopathological ***,total and differential white blood cell counts were ***:The rosmarinic acid-treated group had significantly lower tracheal smooth muscle responses to methacholine than the asthmatic *** addition,rosmarinic acid reduced white blood cell count and the percentages of eosinophils,monocytes,and neutrophils while increasing the percentage of ***-induced lung pathological changes were significantly improved by treatment with rosmarinic ***:Rosmarinic acid improves tracheal smooth muscle responsiveness and lung pathological changes in ovalbumin-sensitized rats.

关键词： Rosmarinic acid Asthma Ovalbumin Tracheal responsiveness Inflammation White blood cell

Modeling functional brain connections in methamphetamine and opioid abusers

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Medicine in Novel Technology and Devices 2024年第1期21卷 88-96页

作者： Nasimeh Marvi Javad Haddadnia Mohammad reza Fayyazi Bordbar Hakim Sabzevari University SabzevarIran Psychiatry and Behavioral Sciences Research Center Mashhad University of Medical SciencesMashhadIran

Substance abuse has become a significant problem *** primary purpose of this study was to model the functional brain connectivity in methamphetamines(Meth)and opioids(Op)groups in comparison with the healthy control(HC)*** data were recorded in Meth(n=8),Op(n=12),and HC groups(n=12)in a closed-eye resting *** NeuCube model based on a spiking neural network was used for EEG data's functional brain connectivity *** NeuCube model was evaluated quantitatively and qualitatively with model descriptive *** results showed the average value of the neuron's activation level,spikes emitted from neurons,and clustering coefficient as a communication parameter in the HC group decreased from 1154,1103,0.026 to 1036,981,0.020 in the Op group and to 511,468,0.009 in the Meth group,*** changes in indices were significant according to the ANOVA test with p〈*** decrease in indices was more significant in the Meth group than in the Op *** research findings showed that the abuse of Meth and Op causes damage to the brain's functional *** damage included shortening and limiting communication routes and decreased neurons'ability to generate membrane potential and emit inhibitory and excitatory *** were reported to be more severe in the Meth group than in the Op group.

关键词： Electroencephalogram Methamphetamines NeuCube model Opioids Spiking neural networks

Enhancing Hyper-Spectral Image Classification with Reinforcement Learning and Advanced Multi-Objective Binary Grey Wolf Optimization

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Computers, Materials & Continua 2024年第6期79卷 3469-3493页

作者： Mehrdad Shoeibi Mohammad Mehdi Sharifi Nevisi reza Salehi Diego Martín Zahra Halimi Sahba Baniasadi TheWPI Business School Worcester Polytechnic InstituteWorcesterMassachusetts01609-2280USA Department of Industrial Engineering Iran University of Science and TechnologyNarmakTehran16846-13114Iran ETSI de Telecomunicación Universidad Politécnica de MadridAv.Complutense 30Madrid28040Spain Department of Civil and Environmental Engineering University of MarylandCollege ParkMaryland20742USA Department of Industrial Engineering College of EngineeringUniversity of HoustonHoustonTexas77204USA

Hyperspectral(HS)image classification plays a crucial role in numerous areas including remote sensing(RS),agriculture,and the monitoring of the *** band selection in HS images is crucial for improving the efficiency and accuracy of image *** process involves selecting the most informative spectral bands,which leads to a reduction in data *** on these key bands also enhances the accuracy of classification algorithms,as redundant or irrelevant bands,which can introduce noise and lower model performance,are *** this paper,we propose an approach for HS image classification using deep Q learning(DQL)and a novel multi-objective binary grey wolf optimizer(MOBGWO).We investigate the MOBGWO for optimal band selection to further enhance the accuracy of HS image *** the suggested MOBGWO,a new sigmoid function is introduced as a transfer function to modify the wolves’*** primary objective of this classification is to reduce the number of bands while maximizing classification *** evaluate the effectiveness of our approach,we conducted experiments on publicly available HS image datasets,including Pavia University,Washington Mall,and Indian Pines *** compared the performance of our proposed method with several state-of-the-art deep learning(DL)and machine learning(ML)algorithms,including long short-term memory(LSTM),deep neural network(DNN),recurrent neural network(RNN),support vector machine(SVM),and random forest(RF).Our experimental results demonstrate that the Hybrid MOBGWO-DQL significantly improves classification accuracy compared to traditional optimization and DL ***-DQL shows greater accuracy in classifying most categories in both datasets *** the Indian Pine dataset,the MOBGWO-DQL architecture achieved a kappa coefficient(KC)of 97.68%and an overall accuracy(OA)of 94.32%.This was accompanied by the lowest root mean square error(RMSE)of 0.94,indicating very precise

关键词： Hyperspectral image classification reinforcement learning multi-objective binary grey wolf optimizer band selection

Machine learning prediction of methane,ethane,and propane solubility in pure water and electrolyte solutions:Implications for stray gas migration modeling

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Acta Geochimica 2024年第5期43卷 971-984页

作者： Ghazal Kooti reza Taherdangkoo Chaofan Chen Nikita Sergeev Faramarz Doulati Ardejani Tao Meng Christoph Butscher Institute of Geotechnics TU Bergakademie FreibergGustav-Zeuner-Str.109599 FreibergGermany Department of Petroleum Engineering Amirkabir University of TechnologyTehranIran Freiberg Center for Water Research ZeWaF TU Bergakademie Freiberg09599 FreibergGermany School of Mining College of EngineeringUniversity of TehranTehranIran Taiyuan University of Science and Technology Taiyuan 030024China

Hydraulic fracturing is an effective technology for hydrocarbon extraction from unconventional shale and tight gas reservoirs.A potential risk of hydraulic fracturing is the upward migration of stray gas from the deep subsurface to shallow *** stray gas can dissolve in groundwater leading to chemical and biological reactions,which could negatively affect groundwater quality and contribute to atmospheric *** knowledge oflight hydrocarbon solubility in the aqueous environment is essential for the numerical modelling offlow and transport in the ***,we compiled a database containing 2129experimental data of methane,ethane,and propane solubility in pure water and various electrolyte solutions over wide ranges of operating temperature and *** machine learning algorithms,namely regression tree(RT)and boosted regression tree(BRT)tuned with a Bayesian optimization algorithm(BO)were employed to determine the solubility of *** predictions were compared with the experimental data as well as four well-established thermodynamic *** analysis shows that the BRT-BO is sufficiently accurate,and the predicted values agree well with those obtained from the thermodynamic *** coefficient of determination(R2)between experimental and predicted values is 0.99 and the mean squared error(MSE)is 9.97×10^(-8).The leverage statistical approach further confirmed the validity of the model developed.

关键词： Gas solubility Hydraulic fracturing Thermodynamic models Regression tree Boosted regression tree Groundwater contamination

Numerical study of convective heat transfer in static arrangements of particles with arbitrary shapes:A monolithic hybrid lattice Boltzmann-finite difference-phase field solver

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Particuology 2024年第2期85卷 186-197页

作者： reza Namdar Mohammadhassan Khodsiani Hesameddin Safari Tanya Neeraj Seyed Ali Hosseini Frank Beyrau Benoit Fond Dominique Thevenin Fathollah Varnik Interdisciplinary Centre for Advanced Materials Simulation(ICAMS) Ruhr-University BochumBochum44801Germany Laboratory of Technical Thermodynamics University of Magdeburg"Otto von Guericke"Magdeburg39106Germany Laboratory of Fluid Dynamics and Technical Flows University of Magdeburg"Otto von Guericke"MagdeburgD-39106Germany Department of Mechanical and Process Engineering ETH ZurichZurich8092Switzerland ONERA The French Aerospace Lab Department of AerodynamicsAeroelasticity and Acoustics(DAAA)Paris-Saclay UniversityMeudon92190France

A compressible lattice Boltzmann-finite difference method is extended by the phase-field approach into a monolithic scheme to study fluid flow and heat transfer through regular arrangements of solid bodies of circular,elliptical and irregular *** advantage of using the phase-field method is demon-strated both in its simplicity of accounting for flow and thermal boundary conditions at solid surfaces with irregular shapes and in the capability of generating such complex-shaped *** an array of discs,numerical results for the overall solid-to-gas heat transfer rate are validated via experiments on flow through arrays of hot *** thus validated compressible LB-FD-PF hybrid scheme is used to study the dependence of heat transfer on flow and thermal boundary conditions(Reynolds number,temperature difference between the hot solid bodies and the inlet gas),porosity as well as on the shape of solid *** are rationalized in terms of the residence time of the gas close to the solid body and downstream variations of gas velocity and *** for further applications of the proposed methodology are also discussed.

关键词： Lattice Boltzmann method Finite difference scheme Convective heat transfer Diffuse interface Thermal compressible flow

Nullors, and Nullor Circuits;There Applications in Symbolic Circuit Analysis and Design

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Applied Mathematics 2024年第1期15卷 33-45页

作者： reza Hashemian reza Hashemian Northern Illinois University Dekalb USA

The objective in this presentation is to introduce some of the unique properties and applications of nullors in active circuit analysis and designs. The emphasis is to discuss the role nullors can play in symbolic representation of transfer functions. To show this we adopt the topological platform for the circuit analysis and use a recently developed Admittance Method (AM) to achieve the Sum of Tree Products (STP), replacing the determinant and cofactors of the Nodal Admittance Matrix (NAM) of the circuit. To construct a transfer function, we start with a given active circuit and convert all its controlled sources and I/O-ports to nullors. Now, with a solid nullor circuit (passive elements and nullors) we first eliminate the passive elements through AM operations. This produces the STPs. Second, the all-nullor circuit is then used to find the signs or the STPs. Finally, the transfer function (in symbolic, if chosen) is obtained from the ratio between the STPs.

关键词： Admittance Method Analog Circuits Nullors Nullor Circuits Sum of Tree Products Transfer Functions

Fatal cases in pediatric patients after post-exposure prophylaxis for rabies:A report of two cases

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Asian Pacific Journal of Tropical Medicine 2024年第1期17卷 39-42页

作者： Hekmatollah Khoubfekr Mohammad Jokar Vahid Rahmanian Hasan Blouch Mohammad reza Shirzadi Rouzbeh Bashar Department of Public Health Iranshahr University of Medical SciencesIranshahrIran Faculty of Veterinary Medicine Karaj BranchIslamic Azad UniversityKarajIran Department of Public Health Torbat Jam Faculty of Medical SciencesTorbat JamIran Center for Communicable Diseases Control Ministry of Health and Medical EducationTehranIran WHO Collaborating Center for Reference and Research on Rabies Virology DepartmentPasteur Institute of IranTehranIran

Rationale:Rabies is a zoonotic disease with a high mortality,primarily transmitted through the bite of infected mammals,particularly dogs and *** being a well-known disease since ancient times,it continues to cause a significant number of human deaths worldwide,with approximately 65000 fatalities reported *** concerns:We present two fatal cases of rabies in a 12-year-old immigrant boy and a 7-year-old *** first case was subject to a 24-hour delay in receiving appropriate medical attention and rabies preventive measures due to the lack of awareness among emergency hospital staff,leading to the administration of wound dressing *** second case received timely rabies immunoglobulin administration;however,there was a 4-day delay in administering the fourth dose of the rabies vaccine,despite presenting evident symptoms of ***:Postmortem examination of brain samples from both patients confirmed the presence of rabies ***:Post-exposure prophylaxis for ***:Both patients were admitted to the hospital after the manifestation of rabies-related symptoms,with the 12-year-old child seeking medical care 47 days after the animal bite and the 7-year-old child seeking medical care 58 days after the ***,the first patient died after 27 days and the second patient died after 40 days of ***:There is an urgent need for heightened awareness and education among both healthcare professionals and the public regarding the urgency of seeking immediate medical attention after potential rabies *** recognition and initiation of post-exposure prophylaxis are pivotal in preventing the progression of the *** surveillance and reporting systems,coupled with continuous training for healthcare professionals,can contribute to early detection and management of rabies cases.

关键词： Rabies Encephalitis Pediatric patients Rabies prophylaxis Public health awareness

MXene-Based Elastomer Mimetic StretchableSensors: Design, Properties, and Applications

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Nano-Micro Letters 2024年第7期16卷 295-342页

作者： Poushali Das Parham Khoshbakht Marvi Sayan Ganguly Xiaowu(Shirley)Tang Bo Wang Seshasai Srinivasan Amin reza Rajabzadeh Andreas Rosenkranz School of Biomedical Engineering McMaster University1280 Main Street WestHamiltonON L8S 4L8Canada Department of Chemistry and Waterloo Institute for Nanotechnology(WIN) University of Waterloo200 University Ave WestWaterlooONCanada Centre for Eye and Vision Research(CEVR) 17W Hong Kong Science ParkShatinHong KongPeople’s Republic of China Chair of Functional Materials Department of Materials Science and EngineeringSaarland UniversitySaarbruckenGermany W Booth School of Engineering Practice and Technology McMaster University1280 Main Street WestHamiltonON L8S 4L7Canada Department for Chemical Engineering Biotechnology and MaterialsUniversity of ChileSantiagoChile

Flexible sensors based on MXene-polymer composites are highly prospective for next-generation wearable electronics used in human-machine *** of the motivating factors behind the progress of flexible sensors is the steady arrival of new conductive ***,a new family of 2D nanomaterials,have been draw-ing attention since the last decade due to their high electronic conduc-tivity,processability,mechanical robustness and chemical *** this review,we encompass the fabrication of MXene-based polymeric nanocomposites,their structure-property relationship,and applications in the flexible sensor ***,our discussion is not only lim-ited to sensor design,their mechanism,and various modes of sensing platform,but also their future perspective and market throughout the *** our article,we intend to fortify the bond between flexible matrices and MXenes thus promoting the swift advancement of flexible MXene-sensors for wearable technologies.

关键词： Flexible sensor 2D nanomaterials MXene Wearable and conductive Applications

Effect of alumina and silica nanocomposite based on polyacrylamide on light and heavy oil recovery in presence of formation water using micromodel

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Petroleum 2024年第2期10卷 338-353页

作者： Ashkan Maleki Behnam Sedaee Alireza Bahramian Sajjad Gharechelou Nahid Sarlak Arash Mehdizad Mohammad reza Rasaei Aliakbar Dehghan Science and Research Branch Islamic Azad University Institute of Petroleum Engineering School of Chemical Engineering University of Tehran School of Geology College of Science University of Tehran Department of Chemistry Lorestan University Iranian Offshore Oil Company

Increasing world request for energy has made oil extraction from reservoirs more desirable. Many novel EOR methods have been proposed and utilized for this purpose. Using nanocomposites in chemical flooding is one of these novel methods. In this study, we investigated the impact of six injection solutions on the recovery of light and heavy oil with the presence of two different brines as formation water using a homogenous glass micromodel. All of the injection solutions were based on a 40,000 ppm Na Cl synthetic seawater(SSW), one of which was additive free and the others were prepared by dispersing nanocomposite silica-based polyacrylamide(NCSP), nanocomposite alumina-based polyacrylamide(NCAP), the combination of both nanocomposites silica and alumina based on polyacrylamide(NCSAP),surfactant(CTAB) and polyacrylamide(PAM) with a concentration of 1000 ppm as additives. The Stability of nanocomposites was tested against the salinity of the brine and temperature using salinity and DSC tests which were successful. Alongside stability tests, IFT, contact angle and oil recovery measurements were made. Visual results revealed that in addition to the effect of silica and alumina nanocomposite in reducing interfacial tension and wettability alteration, control of mobility ratio caused a major improvement in sweeping efficiency and oil recovery. According to the sweeping behavior of injected fluids, it was found that the main effect of surfactant was wettability alteration, for polyacrylamide was mobility control and for nanocomposites was the reduction of interfacial tension between oil and injected fluid, which was completely analyzed and checked out. Also, NCSAP with 95.83% and 70.33% and CTAB with 84.35% and 91% have the highest light oil recoveries at 250,000 ppm and 180,000 ppm salinity, respectively which is related to the superposition effect of interactions between nanocomposites, solution and oil. Based on our results it can be concluded that the most effective me

关键词： Enhanced oil recovery Micromodel Polyacrylamide Nanocomposite Salinity Alumina and silica nanoparticles