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An efficient tool for Parkinson's disease detection and severity grading based on time-frequency and fuzzy features of cumulative gait signals through improved LSTM networks

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Medicine in Novel Technology and Devices 2024年第2期22卷 38-50页

作者： Farhad abedinzadeh Torghabeh Yeganeh Modaresnia seyyed abed hosseini Department of Biomedical Engineering Mashhad BranchIslamic Azad UniversityMashhadIran Department of Electrical Engineering Mashhad BranchIslamic Azad UniversityMashhadIran

Parkinson's disease(PD)is a widespread neurodegenerative condition that affects many individuals *** identification and monitoring of disease progression are crucial to effectively managing symptoms and preventing motor *** research proposes an automated PD diagnosis and severity-grading model based on time-frequency and fuzzy features using improved uni-directional and bi-directional long short-term memory networks with sensitive hyperparameters *** utilize vertical ground reaction force signals collected from Physionet's publicly available dataset recorded during regular and dual-task clinical trials of walking *** the cumulative signal of both feet was then utilized and segmented into 30-s windows without further ***,we extracted only four key time-frequency and fuzzy features from each segment,effectively capturing the signal's inherent *** optimization is employed in both detection and grading approaches to fine-tune the two critical hyperparameters:the initial learning rate and the number of hidden units in the *** detection phase yields an exceptional accuracy of 99.19%,surpassing state-of-the-art studies with the same *** the grading phase,classification based on the unified PD rating scale values achieves an accuracy of 92.28%.The proposed study delves into the potential of cumulative gait signals as a powerful diagnostic tool for PD,aiming to extract precise and intricate information by implementing straightforward and minimal processing *** method demonstrates significant effi-ciency in terms of complexity,cost,and energy consumption by utilizing a single-dimensional signal,eliminating the need for pre-processing steps,and limiting the features used for training.

关键词： Parkinson's disease grading Cumulative gait signal Vertical ground reaction force fuzzy feature Bayesian optimization Long short-term memory

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Two-dimensional MOF-based materials:Preparations and applications as electrodes in Li-ion batteries

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Journal of Energy Chemistry 2024年第10期97卷 388-418,I0008页

作者： Narges Nobakht seyyed Ahmad Etghani Mohammad hosseini Seyed Hamed Aboutalebi Condensed Matter National Laboratory Institute for Research in Fundamental SciencesTehran 19395-5531Iran School of Biological Sciences Institute for Research in Fundamental SciencesTehran 19395-5746Iran BattScout Company London RoadBishopdownSalisbury SP13EnglandUnited Kingdom

Two-dimensional(2D)metal-organic frameworks(MOFs)are rapidly emerging as a unique class of mushrooming family of 2D materials offering distinctive features,such as hierarchical porosity,extensive surface area,easily available active sites,and versatile,adaptable *** promising characteristics have positioned them as highly appealing alternatives for a wide range of applications in energy storage technologies,including lithium ***,the poor conductivity and limited stability of 2D MOFs have limited their real applications in electrochemical energy *** limitations have therefore warranted ongoing research to enhance the performance of 2D *** the significance of 2D MOF-based materials as an emerging class of advanced materials,a multitude of strategy has been devised to address these challenges such as synthesizing 2D conductive MOFs and derivatives along with 2D MOF *** promising approach involves the use of 2D MOF derivatives,including transition metal oxides,which due to their abundant unsatu rated active metal sites and shorter diffusion paths,offer superior electrochemical ***,by combining pristine 2D MOFs with other materials,hybrid 2D MOF materials can be *** hybrids,with their enhanced stability and conductivity,can be directly utilized as active materials in lithium *** the present review,we categorize 2D MOF-based materials into three distinct groups:pristine 2D MOFs,2D MOFderived materials,and 2D MOF hybrid *** synthesis methods for each group,along with their specific applications as electrode materials in lithium-ion batteries,are discussed in *** comprehensive review provides insights into the potential of 2D MOFs while highlighting the opportunities and challenges that are present in this evolving field.

关键词： Li-ion batteries 2D materials 2D metal-organic frameworks Energy storage Synthesis

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Assessment of electrostatic discharge sensitivity of nitrogen-rich heterocyclic energetic compounds and their salts as high energy-density dangerous compounds:A study of structural variables

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Defence Technology（防务技术） 2024年第9期39卷 15-22页

作者： Mohammad Hossein Keshavarz Sedigheh Heydari Bani Reza Bakhtiari seyyed Hesamodin hosseini Faculty of Applied Sciences Malek Ashtar University of TechnologyIsfahan 177415875Iran

Nitrogen-rich heterocyclic energetic compounds(NRHECs)and their salts have witnessed widespread synthesis in recent *** substantial energy-density content within these compounds can lead to potentially dangerous explosive reactions when subjected to external stimuli such as electrical ***,developing a reliable model for predicting their electrostatic discharge sensitivity(ESD)becomes *** study proposes a novel and straightforward model based on the presence of specific groups(-NH_(2) or-NH-,-N=N^(+)-O^(-)and-NNO_(2),-ONO_(2) or-NO_(2))under certain conditions to assess the ESD of NRHECs and their salts,employing interpretable structural *** a comprehensive dataset comprising 54 ESD measurements of NRHECs and their salts,divided into 49/5 training/test sets,the model achieves promising *** Root Mean Square Error(RMSE),Mean Absolute Error(MAE),and Maximum Error for the training set are reported as 0.16 J,0.12 J,and 0.5 J,***,the ratios RMSE(training)/RMSE(test),MAE(training)/MAE(test),and Max Error(training)/Max Error(test)are all greater than 1.0,indicating the robust predictive capabilities of the *** presented model demonstrates its efficacy in providing a reliable assessment of ESD for the targeted NRHECs and their salts,without the need for intricate computer codes or expert involvement.

关键词： Electrostatic discharge sensitivity Heterocyclic energetic compounds containing azole compound Interpretable structural parameter Safety

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Enhancing Parkinson's disease severity assessment through voice-based wavelet scattering,optimized model selection,and weighted majority voting

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Medicine in Novel Technology and Devices 2023年第4期20卷 51-63页

作者： Farhad abedinzadeh Torghabeh seyyed abed hosseini Elham Ahmadi Moghadam Department of Biomedical Engineering Mashhad BranchIslamic Azad UniversityMashhadIran Department of Electrical Engineering Mashhad BranchIslamic Azad UniversityMashhadIran

Parkinson's disease(PD)is a neurodegenerative disorder characterized by motor and non-motor symptoms that significantly impact an individual's quality of *** changes have shown promise as early indicators of PD,making voice analysis a valuable tool for early detection and *** study aims to assess and detect the severity of PD through voice analysis using the mobile device voice recordings *** dataset consisted of recordings from PD patients at different stages of the disease and healthy control subjects.A novel approach was employed,incorporating a voice activity detection algorithm for speech segmentation and the wavelet scattering transform for feature extraction.A Bayesian optimization technique is used to fine-tune the hyperparameters of seven commonly used classifiers and optimize the performance of machine learning classifiers for PD severity *** and K-nearest neighbor consistently demonstrated superior performance across various evaluation metrics among the ***,a weighted majority voting(WMV)technique is implemented,leveraging the predictions of multiple models to achieve a near-perfect accuracy of 98.62%,improving classification *** results highlight the promising potential of voice analysis in PD diagnosis and *** advanced signal processing techniques and machine learning models provides reliable and accessible tools for PD assessment,facilitating early intervention and improving patient *** study contributes to the field by demonstrating the effectiveness of the proposed methodology and the significant role of WMV in enhancing classification accuracy for PD severity detection.

关键词： Parkinson's disease Speech impairment Voice activity detection Model selection Bayesian optimization Weighted majority voting

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Comprehensive modeling of frictional pressure drop during carbon dioxide two-phase flow inside channels using intelligent and conventional methods

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Chinese Journal of Chemical Engineering 2023年第11期63卷 108-119页

作者： Mohammad Amin Moradkhani seyyed Hossein hosseini Mengjie Song Department of Chemical Engineering Ilam University69315-516 IlamIran Department of Energy and Power Engineering School of Mechanical EngineeringBeijing Institute of TechnologyBeijing 100081China

Environmentally friendly nature of CO_(2),associated with its safety and high efficiency,has made it a widely used working fluid in heat *** CO_(2)has strange thermophysical features,specific models are required to estimate its two-phase characteristics,particularly frictional pressure drop(FPD).Herein,a widespread dataset,comprising 1195 experimental samples for two-phase FPD of CO_(2)was adopted from 10 sources to fulfill this *** literature correlations failed to provide satisfactory precisions and exhibited the average absolute relative errors(AAREs)between 29.29% and 67.69% from the analyzed *** inspiring the theoretical method of Lockhart and Martinelli,three intelligent FPD models were presented,among which the Gaussian process regression approach surpassed the others with AARE and R^(2)values of 5.48% and 98.80%,respectively in the test stage.A novel simple correlation was also derived based on the least square fitting method,which yielded opportune predictions with AARE of 19.76% for all *** truthfulness of the newly proposed models was assessed through a variety of statistical and visual analyses,and the results affirmed their high reliability over a broad range of conditions,channel sizes and flow ***,the novel models performed favorably in describing the physical attitudes corresponding to two-phase FPD of CO_(2).Eventually,the importance of operating factors in controlling the FPD was discussed through a sensitivity analysis.

关键词： CO_(2) Two-phase flow Frictional pressuredrop Intelligent approaches Correlation

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Mathematical model and energy analysis of ethane dehydration in two-layer packed-bed adsorption

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Particuology 2019年第6期17卷 33-40页

作者： Yadollah Tavan seyyed Hossein hosseini Goodarz Ahmadi Martin Olazar Chemical and Petroleum Engineering Department Sharif University of TechnologyAzadi Av.TehranIran Chemical Engineering Department Faculty of EngineeringIlam University69315-516 IlamIran Department of Mechanical and Aeronautical Engineering Clarkson UniversityPotsdamNY 13699-5725USA Department of Chemical Engineering Faculty of Science and TechnologyUniversity of the Basque CountryP.O.Box 64448080 BilbaoSpain

The 3A zeolites are excellent adsorbents for industrial-scale gas dehydration because of the low energy required for regeneration and ease of operation.A computational study of the dehydration of an industrial feed stream containing ethane and water was performed using an in-house code that included an appropriate equilibrium adsorption *** validated computational model was used to examine the impact of particle size on the process dynamics and the corresponding pressure *** water concentration along the adsorption column was also *** increase the process capacity,the packed adsorption bed was divided into two distinct layers,which were operated with different particle *** length of each layer was determined by a parametric *** best breakthrough time,i.e.,107,800 s,at the allowed pressure drop was obtained when the lengths of the first and second layers were 4.5 and 1 m,*** results showed that the new two-layer adsorption bed could save around 33.8%in total energy requirement in comparison to that of a single bed.

关键词： Molecular sieve Breakthrough Adsorption Ethane dehydration Mathematical model

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CFD modeling of a spouted bed with a porous draft tube

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Particuology 2010年第5期8卷 415-424页

作者： Salar Azizi seyyed Hossein hosseini M.Moraveji Goodarz Ahmadi Chemical Engineering Department Faculty of EngineeringArak University Department of Chemical Engineering Faculty of EngineeringIlam University Department of Mechanical and Aeronautical Engineering Clarkson University

Spouted bed with a porous draft tube is used for drying of grains and chemical products and thermal disinfestations process. This work provides a computational fluid dynamics （CFD） simulation of binary mixtures of glass particles in a spouted bed with a porous draft tube. The simulation used the multi-fluid Eulerian-Eulerian approach based on kinetic theory of granular flows, incorporating a kinetic-frictional constitutive model for dense assemblies of particulate solids and Gidaspow＇s drag model for the interaction between gas and particles. Influences of solids mass fraction and inlet gas flow rate on pressure distribution, gas and particle velocities were studied. The modeling results were compared with the exper- imental work of Ishikura, Nagashima, and Ide （2003） for the flow condition along the axis of the spouted bed. Good agreement between the modeling results and experimental data was observed.

关键词： Spouted bedPorous dra tubeHydrodynamicsKinetictheoryCFD

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The impact of land afforestation on carbon stocks surrounding Tehran,Iran

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Journal of Forestry Research 2014年第1期25卷 135-141页

作者： Saeid Varamesh seyyed Mohsen hosseini Farshad Keivan Behjou Ebrahim Fataei Department of Forestry Faculty of Natural ResourcesTarbiat Modares University Department of Environmental engineering Ardabil BranchIslamic Azad University Faculty of Agricultural Technology and Natural Resources University of Mohaghegh Ardabili

The city of Tehran, like many polluted metropolises of the world, has higher emissions of greenhouse gases than other cities in Iran, due to heavy consumption of fossil fuel and landuse changes. To estimate carbon sequestration in two 40 year-old stands of plantedCupressus arizonica andFraxinus rotundifolia in degraded lands surrounding Tehran , sampling of above- and below- ground biomass, soil （at two depths of 0-15 and 15-30 cm）, and leaf litter was done by systematic random sampling. The total carbon stocks ofC. arizonica and F. rotundifolia stands were respectively 328.20 and 150.69 Mg·ha-1. The aboveground biomass with 233.16（71%） Mg·ha-1 inC. arizonica and 88.16 （58.50%） Mg·ha-1 inF. rotundifolia contributed the most shares to carbon sequestration. The diameter at breast height, total height, basal area, total volume, and biomass ofC. arizonica were significantly （p 〈0.01） higher than those ofF. rotundifolia. Also the depth of 0-30 cm of soil contributed between 18.29 % and 32.15 % of total ecosystem carbon, respectively. The economic value of carbon sequestration in the two stands in 2011 was calculated at 3.5 and 2.5 million dollars, respectively. Our results indicate that afforestation of the degraded land surrounding Tehran would sequester more carbon than would continuously degraded land, the current status quo. These stands can absorb atmospheric CO2at different rates, thus tree species selection and stand development should be considered in planning future afforestation projects.

关键词： carbon sequestration afforestation Cupressus arizonica Fraxinus rotundifolia Tehran.

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Wettability alteration and oil recovery by spontaneous imbibition of smart water and surfactants into carbonates

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Petroleum Science 2020年第3期17卷 712-721页

作者： Saeb Ahmadi Mostafa hosseini Ebrahim Tangestani seyyed Ebrahim Mousavi Mohammad Niazi Department of Chemical Engineering Sanandaj Branch Islamic Azad UniversitySanandajIran Department of Petroleum Engineering Faculty of Chemical EngineeringTarbiat Modares UniversityTehranIran Faculty of Chemical Engineering Tarbiat Modares UniversityTehranIran

Naturally fractured carbonate reservoirs have very low oil recovery efficiency owing to their wettability and tightness of ***,smart water can enhance oil recovery by changing the wettability of the carbonate rock surface from oilwet to water-wet,and the addition of surfactants can also change surface *** the present study,the effects of a solution of modified seawater with some surfactants,namely C12 TAB,SDS,and TritonX-100(TX-100),on the wettability of carbonate rock were investigated through contact angle *** recovery was studied using spontaneous imbibition tests at 25,70,and 90°C,followed by thermal gravity analysis to measure the amount of adsorbed material on the carbonate *** results indicated that Ca2+,Mg2+,and SO42-.ions may alter the carbonate rock wettability from oil-wet to water-wet,with further water wettability obtained at higher concentrations of the ions in modified *** of NaCl from the imbibing fluid resulted in a reduced contact angle and significantly enhanced oil *** oil recoveries were obtained with modified seawater at 25 and 70°C,but once the temperature was increased to 90°C,the oil recovery in the spontaneous imbibition experiment increased *** of smart water with C12 TAB surfactant at 0.1 wt%changed the contact angle from 161°to 52°and enhanced oil recovery to 72%,while the presence of the anionic surfactant SDS at 0.1 wt%in the smart water increased oil recovery to 64.5%.The TGA analysis results indicated that the adsorbed materials on the carbonate surface were minimal for the solution containing seawater with C12 TAB at 0.1 wt%(SW+CTAB(0.1 wt%)).Based on the experimental results,a mechanism was proposed for wettability alteration of carbonate rocks using smart water with SDS and C12 TAB surfactants.

关键词： Smart water Surfactants Carbonate rock Wettability alteration

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A novel rate of the reaction between NaOH with CO_(2) at low temperature in spray dryer

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Petroleum 2017年第1期3卷 51-55页

作者： Yadollah Tavan seyyed Hossein hosseini National Iranian Gas Company(NIGC) TehranIran Chemical Engineering Department Faculty of EngineeringIlam UniversityIlamIran

Carbon dioxide(CO_(2))is an influential greenhouse gas that has a significant impact on global warming ***,many techniques are available to control and remove CO_(2) in different chemical *** the spray dryer has high removal efficiency rate,a laboratory-scale spray dryer is used to absorb carbon dioxide from air in aqueous solution of *** the present study,the impact of NaOH concentration,operating temperature and nozzle diameter on removal efficiency of CO_(2) is explored through experimental ***,the reaction kinetic of NaOH with CO_(2) is studied over the temperature range of 50-100℃ in a laboratory-scale spray dryer *** the present contribution,a simple reaction rate equation is proposed that shows the lowest deviation from the experimental data with error less than 2%.

关键词： CO_(2) Kinetic Spray dryer NaOH

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