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Comparative study of univariate and multivariate strategy for short-term forecasting of heat demand density:Exploring single and hybrid deep learning models

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Energy and AI 2024年第2期16卷 53-68页

作者： Sajad salehi Miroslava Kavgic Hossein Bonakdari Luc Begnoche Civil Engineering Department University of Ottawa161 Louis PasteurOttawaON K1N 6N5Canada Advisors Inc 525-38 Place du CommerceMontrealQC H3E 1TBCanada

Accurate short-term forecasting of heating energy demand is needed for achieving optimal building energy management,cost savings,environmental sustainability,and responsible energy ***,short-term heating energy prediction contributes to zero-energy building performance in cold *** the critical importance of short-term forecasting in heating energy management,this study evaluated six prevalent deep-learning algorithms to predict energy load,including single and hybrid *** overall best-performing predictors were hybrid models using Convolutional Neural Networks,regardless of whether they were multivariate or ***,while the multivariate models performed better in the first hour,the univariate models often were more accurate in the final 24 ***,the best-performing predictor of the first timestep was a multivariate hybrid Convolutional Neural Network–Recurrent Neural Network model with a coefficient of determination(R^(2))of 0.98 and the lowest mean absolute ***,the best-performing predictor of the final timestep was the univariate hybrid model Convolutional Neural Network–Long Short-Term Memory with an R^(2)of ***,the prediction accuracy of the best-performing multivariate hybrid models reduced faster per hour compared to the univariate *** findings suggest that multivariate models may be better suited for early timestep predictions,while univariate models may be better suited for later time ***,combining the models can enhance accuracy at various timesteps for achieving high fidelity in forecasting and offering a comprehensive tool for energy management.

关键词： Short-term heat demand forecasting Multiple-step output strategy Deep learning Cold climates Commercial buildings

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Electrospun Aloe Vera Extract Loaded Polycaprolactone Scaffold for Biomedical Applications:A Promising Candidate for Corneal Stromal Regeneration

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Journal of Bionic Engineering 2024年第4期21卷 1949-1959页

作者： Amin Orash Mahmoud salehi Mohammad Rafienia Narsimha Mamidi Saeed Heidari Keshel Alireza Baradaran-Rafii Department of Chemistry and Nanotechnology School of Engineering and ScienceTecnologico de MonterreyMonterreyNuevo Leon64849Mexico Biosensor Research Center Isfahan University of Medical SciencesIsfahan81746-73461Iran Wisconsin Center for NanoBioSystems School of PharmacyUniversity of Wisconsin-MadisonMadisonWisconsin53705USA Medical Nanotechnology Research Center Shahid Beheshti University of Medical SciencesTehran19857-17443Iran Department of Ophthalmology Ophthalmic Research CenterLabbafinejad Medical CenterShahid Beheshti University of Medical SciencesTehran19395-4631Iran Department of Ophthalmology Morsani College of MedicineUniversity of South FloridaTampaFL33612USA Department of Tissue Engineering and Applied Cell Science School of Advanced Technologies in MedicineShahid Beheshti University of Medical SciencesTehran19857-17443Iran

Corneal diseases,the second leading cause of global vision loss affecting over 10.5 million people,underscores the unmet demand for corneal tissue *** the scarcity of fresh donor corneas and the associated risks of immune rejection,corneal tissue engineering becomes *** nanofibrous scaffolds that mimic the natural corneal structure is crucial for creating transparent and mechanically robust corneal equivalents in tissue ***,Aloe Vera Extract(AVE)/Polycaprolactone(PCL)nanofibrous scaffolds were primed using *** electrospun AVE/PCL fibers exhibit a smooth,bead-free morphology with a mean diameter of approximately 340±95 nm and appropriate light *** measurements reveal Young’s modulus and ultimate tensile strength values of around 3.34 MPa and 4.58 MPa,respectively,within the range of stromal *** addition,cell viability of AVE/PCL fibers was measured against Human Stromal Keratocyte Cells(HSKCs),and improved cell viability was *** cell-fiber interactions were investigated using scanning electron *** conclusion,the incorporation of Aloe Vera Extract enhances the mechanical,optical,hydrophilic,and biological properties of PCL fibers,positioning PCL/AVE fiber scaffolds as promising candidates for corneal stromal regeneration.

关键词： Corneal stromal regeneration Aloe vera extract Polycaprolactone Electrospinning

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Platform Evolution in an Oligo-Miocene Back-arc Basin:An Example from the Central Iran Basin

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Acta Geologica Sinica(English Edition) 2024年第1期98卷 185-206页

作者： Masoud SHARIFI-YAZDI Amirhossein ENAYATI Jamal salehi AGHDAM Mohammad BAHREHVAR Seyed Mustafa REZAEI Department of Geology Faculty of Earth SciencesGeography and AstronomyUniversity of Vienna1090 Vienna.Austria Geology and Geophysics Department Tehran Energy Consultants(TEC Co.)TehranIran School of Geology College of ScienceUniversity of TehranTehranIran Department of Geology Tarbiat Modares UniversityTehranIran

The Qom Formation is the most important hydrocarbon reservoir target in Central *** Qom platform developed in a back-arc basin during the Oligo-Miocene due to the closing of the Tethyan *** formation consists of a variety of carbonate and non-carbonate facies deposited on a platform ranging from supratidal to basin.A combination of tectonic and eustatic events led to some lateral and vertical facies variations in the study *** third-order depositional sequences and related surfaces were identified regarding vertical facies changes in the studied sections of this Oligo-Miocene *** to all results and data,this succession was initially deposited during the Chattian upon a distally steepened ramp of siliciclastic-carbonate composition,including the Bouma ***,from the late Chattian to the Aquitanian,the platform changed into a homoclinal carbonate ramp with a gentle *** respect to tectonic activity,this phase was a calm period during the deposition of the Qom ***,a drowned carbonate platform and a rimmed shelf emerged during the Burdigalian,terminated by the continental deposits of the Upper Red *** all geological characteristics,three main tectono-eustatic evolutionary phases have been recognized in the Qom back-arcbasin.

关键词： carbonate ramp depositional facies submarine fan eustasy basement faults back-arc basin

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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

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Spreadability of powders for additive manufacturing:A critical review of metrics and characterisation methods

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Particuology 2024年第10期93卷 211-234页

作者： Fatemeh A.Talebi Zobaideh Haydari Hamid salehi Mozhdeh Mehrabi Jabbar Gardy Mike Bradley Andrew E.Bayly Ali Hassanpour School of Chemical and Process Engineering University of LeedsLeedsLS29JTUK School of Engineering University of GreenwichGreenwichME44TBUK Cormica Limited Listerhills Science ParkCampus RoadBradfordBD71HRUK

Powder bed fusion methods of additive manufacturing (AM) require consistent, reproducible, and uniform layers of powder for the reliable production of high-quality parts, where properties of powder are central to achieving this. Among these properties, powder flowability and spreadability play critical roles in determining the quality of these powder *** extensive research has been conducted on powder flow and spreading behaviour, and on their characterisation, there is little critical comparison and review of these terms in the context of AM. Such a review is necessary to further develop and enhance our comprehension of spreading dynamics and its relation to powder properties in AM *** review paper aims to build a coherent understanding of the correlation between powder characteristics and spreading in powder based additive manufacturing and its impact on manufactured parts. It highlights the current progress in comprehending spreading dynamics, the influence of powder characteristics, environmental conditions, spreading system, and the development of testing tools to assess powder spreadability. Furthermore, the paper critically discusses the challenge of finding appropriate quantitative metrics and recent advances in the use of standardised methods for evaluating powder spreadability.

关键词： Powder spreading Powder flowability Powder properties Quality of layer and final products

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A Deep Reinforcement Learning-Based Technique for Optimal Power Allocation in Multiple Access Communications

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Intelligent Automation & Soft Computing 2024年第1期39卷 93-108页

作者： Sepehr Soltani Ehsan Ghafourian Reza salehi Diego Martín Milad Vahidi Department of Industrial Engineering College of EngineeringUniversity of HoustonHoustonTX77204USA Department of Computer Science Iowa State UniversityAmesIowaUSA ETSI de Telecomunicación Universidad Politécnica de MadridMadridSpain Faculty of School of Plant and Environmental Sciences Virginia Polytechnic Institute and StateUniversityBlacksburgVirginia24060USA

Formany years,researchers have explored power allocation(PA)algorithms driven bymodels in wireless networks where multiple-user communications with interference are ***,data-driven machine learning methods have become quite popular in analyzing wireless communication systems,which among them deep reinforcement learning(DRL)has a significant role in solving optimization issues under certain *** this purpose,in this paper,we investigate the PA problem in a k-user multiple access channels(MAC),where k transmitters(e.g.,mobile users)aim to send an independent message to a common receiver(e.g.,base station)through wireless *** this end,we first train the deep Q network(DQN)with a deep Q learning(DQL)algorithm over the simulation environment,utilizing offline ***,the DQN will be used with the real data in the online training method for the PA issue by maximizing the sumrate subjected to the source ***,the simulation results indicate that our proposedDQNmethod provides better performance in terms of the sumrate compared with the available DQL training approaches such as fractional programming(FP)and weighted minimum mean squared error(WMMSE).Additionally,by considering different user densities,we show that our proposed DQN outperforms benchmark algorithms,thereby,a good generalization ability is verified over wireless multi-user communication systems.

关键词： Deep reinforcement learning deep Q learning multiple access channel power allocation

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Advancements in Fixed Point Theorems for α-Geraghty Contractions in Complete Metric Space

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Journal of Mathematical Research with Applications 2024年第5期 697-710页

作者： V.C.BORKAR Mohammed M.A.TALEB Saeed A.A.AL-salehi School of Mathematical at Yeshwant Mahavidyalaya Swami Ramanand Teerth Marathwada University School of Mathematical at Science College Swami Ramanand Teerth Marathwada University Department of Mathematics Hodeidah University Department of Mathematics Aden University

This article improves and advances the results achieved by Vishal and Naveen, leveraging the use of Lebesgue integrable functions. Going beyond, we investigate fixed point theorems associated with a concept introduced by Ovidiu Popescu. Our research not only bolsters the theoretical framework but also unveils practical applications in the domain of Lebesgue integrals as in Example 3.6. Furthermore, our contribution enhances the understanding of fixed point theorems in metric spaces and introduces novel perspectives in the study of generalized α-Geraghty contractive mappings on Lebesgue integrals.

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Long-term follow-up of intravesical abobotulinumtoxinA (Dysport®) injections in women with idiopathic detrusor overactivity

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Asian Journal of Urology 2024年第1期11卷 93-98页

作者： Mohammad Sajjad Rahnama'i Amin Bagheri Elham Jahantabi Hanieh salehi-Pourmehr Hadi Mostafaei Brigitte Schurch Aida Javan Balegh Marand Sakineh Hajebrahimi Department of Urology St.Elisabeth-Tweesteden Hospital Tilburgthe Netherlands Research Center for Evidence-based Medicine Iranian EBM Centre:A Joanna Briggs Institute(JBI)Center of ExcellenceTabriz University of Medical SciencesTabrizIran Urology Department Faculty of MedicineTabriz University of Medical SciencesTabrizIran Department of Urology Comprehensive Cancer CenterMedical University of ViennaViennaAustria Service de Neuroréhabilitation CHUVLausanneSwitzerland Society of Urological Research and Education(SURE) Heerlenthe Netherlands

Objective:Only a few numbers of studies have been published on the use of abobotulinumtoxinA(Dysport®)in idiopathic detrusor overactivity(IDO).This study reported the long-term follow-up of women with IDO who were treated with intravesical Dysport®***:Two hundred and thirty-six patients with IDO who had failed first-line conservative and antimuscarinic therapy received 500-900 units of Dysport®between April 2014 and July *** patients were followed up for 5 years after their initial injection and interviewed on the ***:A total of 236 women with IDO aged from 18 years to 84 years(mean±standard deviation:49.6±15.9 years)were included in our *** median follow-up time for patients was 36.5(range:10-70)months,and the median recovery time after injection was 18.5(range:0-70)months.A total of 83(35.2%)patients stated that they had subjective improvement of their symptoms whereas 84(35.6%)patients did not report any improvement in *** initial International Consultation on Incontinence Questionnaire Overactive Bladder mean score was 6.9(standard deviation 3.4).There was a positive association between the median recovery time and the components of the International Consultation on Incontinence Questionnaire Overactive Bladder ***:In a sub-population of overactive bladder patients with IDO who have failed first-line therapy,a single intravesical Dysport®injection can resolve patient symptoms completely or reduce the symptoms to an acceptable level that can be controlled with antimuscarinics or re-injection on demands.

关键词： AbobotulinumtoxinA Dysport Intravesical ldiopathic Detrusor overactivity

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Assessing the impact of climate change on agricultural production in central Afghanistan

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Regional Sustainability 2024年第3期5卷 12-23页

作者： Homayoon RAOUFI Hamidreza JAFARI Wakil Ahmad SARHADI Esmail salehi Department of Environmental Planning Management and HealthSafetyand EnvironmentFaculty of EnvironmentUniversity of TehranTehran14174-66191Iran Faculty of Agriculture University of KunduzKunduz3502Afghanistan Faculty of Agriculture University of KabulKabul1001Afghanistan

Afghanistan has faced extreme climatic crises such as drought,rising temperature,and scarce precipitation,and these crises will likely worsen in the *** in crop yield can affect food security in Afghanistan,where the majority of population and economy are completely dependent on *** study assessed the interaction between climate change and crop yield in Kabul of Afghanistan during the reference(1990–2020)and future(2025–2100)*** data(1990–2020)were collected from four meteorological stations and three local organizations,and wheat yield data(1990–2020)were acquired from the United States Agriculture *** during the reference period(1990–2020)were used for the validation and calibration of the statistical downscaling models such as the Statistical Downscaling Model(SDSM)and Long Ashton Research Station Weather Generator(LARS-WG).Furthermore,the auto-regression model was used for trend *** results showed that an increase in the average annual temperature of 2.15℃,2.89℃,and 4.13℃will lead to a reduction in the wheat yield of 9.14%,10.20%,and 12.00%under Representative Concentration Pathway(RCP)2.6,RCP4.5,and RCP8.5 during the future period(2025–2100),***,an increase in the annual maximum temperature of 1.79℃,2.48℃,and 3.74℃also causes a significant reduction in the wheat yield of 2.60%,3.60%,and 10.50%under RCP2.6,RCP4.5,and RCP8.5,***,an increase in the annual minimum temperature of 2.98℃,2.23℃,and 4.30℃can result in an increase in the wheat yield of 6.50%,4.80%,and 9.30%under RCP2.6,RCP4.5,and RCP8.5,*** to the SDSM,the decrease of the average monthly precipitation of 4.34%,4.10%,and 5.13%results in a decrease in the wheat yield of 2.60%,2.36%,and 3.18%under RCP2.6,RCP4.5,and RCP8.5,*** study suggests that adaptation strategies can be applied to minimize the consequences of climate change on agricultural production.

关键词： Climate change Wheat yield Food security Representative Concentration Pathway(RCP) Afghanistan

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Determining the effect of Plantago major L. and Rosa damascene herbal ointment for bedsore healing

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Aging Communications 2022年第4期4卷 9-14页

作者： ashraf salehi Mohammad Taheri Hamid Momeni Morteza Bakhshesh Davood Azadi Abdorrahim Absalan Mahdieh Azizi Amirhossein Latifi Molecular and Medicine Research Center Khomein University of Medical SciencesKhomein ***Iran Department of Nursing Education Khomein University of Medical SciencesKhomein ***Iran Department of Rehabilitation Nursing The University of Social Welfare and Rehabilitation SciencesTehran ***Iran Department of Physiology Khomein University of Medical SciencesKhomein ***Iran Department of Medical Microbiology Khomein University of Medical SciencesKhomein ***Iran Department of Medical Laboratory Sciences Khomein University of Medical SciencesKhomein ***Iran Traditional and Complementary Medicine Research Center Department of Traditional MedicineSchool of MedicineArak University of Medical SciencesArak ***Iran

Background:Bedsores are damage or loss of skin integrity due to prolonged pressure which there are several ways to treat and prevent *** aim of the study was to determine the effect of Plantago major *** Rosa damascene herbal ointment for bedsore healing in hospitalized ***:This clinical trial study was accomplished with 100 patients divided into control(50 patients)and intervention(50 patients)*** control group had received routine treatment(dressing with Comfeel),but the intervention group only had received herbal ointment and then both groups were compared with each other through the pressure ulcer scale for healing(PUSH)***:The mean and standard deviation of recovery time in the Comfeel group was 27.40±12.467 and in the herbal ointment group was 21.57±*** the pre-intervention evaluation,the mean and standard deviation of the PUSH score in the herbal ointment group was 10.44±0.323 while in the last evaluation in the same group it was 0.68±0.288 but in the Comfeel group,in the pre-intervention evaluation,the mean and standard deviation of the PUSH score was 10.68±0.317,while in the last evaluation it was 1.98±*** highest frequency of bedsores in the study units was in the sacral region(49%)and the lowest frequency was in the sole of the foot with 1%.Conclusion:The results showed that Plantago major *** Rosa damascene herbal ointment was effective in accelerating recovery time and wound healing.

关键词： Bedsore Plantago major L. Rosa damascene

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