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Earthquake planning and crisis management with an emphasis on the facilities, utilities, and services of the health care centers of Tiran and Karvan County, Isfahan Province, Iran: A case study

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Journal of Acute Disease 2018年第3期7卷 115-121页

作者： Rouhullah Dehghani Narges Mohammadzadeh maryam salehi Hamid Kassiri Social Determinants of Health(SDH)Research Cente and Environment Health Department School of HealthKashan University of Medical SciencesKashanIran School of Geographical Sciences and Planning University of IsfahanIsfahanIran School of Health Ahvaz Jundishapur University of Medical SciencesAhvazIran

Objective: To study earthquake planning and crisis management with an emphasis on the facilities, utilities, and services of the health care centers of Tiran and Karvan County, Isfahan Province. Methods: This is a descriptive-analytical survey based on the quantitative and qualitative characteristics of Tiran and Karvan County Health Care Centers(HCCs). Twenty quantitative and qualitative indicators were derived from the studied HCCs and analyzed using the strengths, weaknesses, opportunities and threats analysis technique. The top crisis management strategies were identified and a number of strategies and solutions were proposed. Results: The HCC utilities such as water, electricity, gas, and heating and cooling systems were in average condition, whereas the facilities of the majority of HCCs were in vulnerable-to-average condition. In addition, they sustained relatively high degree of instability which calls for reassessment and effective policies to minimize weaknesses and eliminate threats using strengths and opportunities. Conclusions: It is recommended that the condition of Tiran and Karvan County HCCs be enhanced by distributing new HCCs based on the population density, expanding the road network and creating vast, wide-open spaces to enable field hospital construction in times of crisis.

关键词： Crisis management Earthquake Strategy Health care centers Iran

Comparison of ultrasonography and radiography in diagnosis of rib fractures

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Chinese Journal of Traumatology 2017年第4期20卷 226-228页

作者： Elham Pishbin Koorosh Ahmadi Molood Foogardi maryam salehi Farrokh Seilanian Toosi Vafa Rahimi-Movaghar Department of Emergency Medicine. Imam Reza Hospital Mashhad University of Medical Sciences. Mashhad Iran Department of Emergency Medicine. Alborz University of Medical Sciences Karaj Iran Department of Emergency Medicine. Birjand University of Medical Sciences. Birjand. Iran Department of Community Medicine. Mashhad University of Medical Sciences. Mashhad Iran Department of Radiology. Mashhad University of Medical Sciences Mashhad. Iran Sina Trauma and Surgery Research Center Tehran University of Medical Sciences TehranIran

Purpose： Rib fractures are the most common skeletal thoracic injuries resulting from blunt chest trauma. Half of the rib fractures are not detected upon a precise physical evaluation and radiographs. Recently ultrasonography （USG） has been investigated to detect rib fractures. But based on literature the usefulness of USG varies widely. This study was conducted to investigate the role of USG in the detection of possible rib fractures in comparison with radiography. Methods： In this cross-sectional study, consecutive patients with minor blunt chest trauma and suspected rib fractures presenting in Imam Reza Hospital located in Mashhad-Iran, between April 2013 and October 2013 were assessed by USG and radiography. The radiography was performed in a posteroanterior （PA） chest projection and oblique rib view centered over the area of trauma. The time duration spent in taking USG and radiography were recorded. The prevalence and location of fractures revealed by USG and radiography were compared. Results： Sixty-one suspected patients were assessed. The male to female ratio was 2.4：1 （43 men and 18 women） with a mean ± SD age of （44.3 ± 19.7） years. There were totally 59 rib fractures in 38 （62.3%） patients based on radiography and USG, while 23 （37.7%） patients had no diagnostic evidence of rib lesions. USG revealed 58 rib fractures in 33 （54.1%） of 61 suspected patients and radiographs revealed 32 rib fractures in 20 （32.8%） of 61 patients. A total of 58 （98.3%） rib fractures were detected by USG, whereas oblique rib view and PA chest radiography showed 27 （45.8%） and 24 （40.7%） rib fractures, respectively. The average duration of USG was （12 ± 3） min （range 7e17 min）, whereas the duration of radiography was （27 ± 6） min （range 15-37 min）. The kappa coefficient showed a low level of agreement between both USG and PA chest radiography （kappa coefficient=0.28）, and between USG and oblique rib view （kappa coefficient=0.32）. Conclusion： USG discloses more fractures than radi

关键词： Rib fractures Radiography Ultrasonography

Study on relationship between acute gastrointestinal disease and Helicobacter pylori infections

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Journal of Acute Disease 2017年第6期6卷 264-267页

作者： maryam salehi Farzin Sadeghi Javad Shokri Shirvani Elahe Ferdosi Shahandashti Soraya Khafri Ramezan Rajabnia Infectious Diseases and Tropical Medicine Research Center Babol University of Medical SciencesBabolIran Department of Microbiology Faculty of MedicineBabol University of Medical SciencesBabolIR Iran Cellular and Molecular Biology Research Center Health Research InstituteBabol University of Medical SciencesBabolIran Department of Internal Medicine Babol University of Medical SciencesBabolIran Department of Medical Biotechnology Faculty of MedicineBabol University of Medical SciencesBabolIran Department of Statistic and Epidemiology Babol University of Medical SciencesBabolIran

Objective: To assess the relation between acute gastrointestinal disease and Helicobacter pylori (H. pylori) infections. Methods: Over the 18-month period, a total of 323 patients referred to three hospitals in Babol (north of Iran) were enrolled in this cross-sectional study. H. pylori status (rapid urease test), endoscopic findings in the patients, personal habits (smoking or alcohol intake) and administration of drugs, such as non-steroidal anti-inflammatory drugs (NSAIDs) were analyzed using standard Chi-square test and multinomial logistic regression analysis. Results: Results showed that acute gastric ulcer patients had a significant association with alcohol (P=0.001, OR=6.183), opium (P=0.022, OR=2.823), smoking (P=0.016, OR=2.579) and NSAIDs (P=0.046, OR=2.071). However, patients with in acute duodenal ulcer have a significant association with opium (P=0.023, OR=2.326) and alcohol (P=0.003, OR=3.888). As well as, gastric cancer had significant association with alcohol (P<0.05, OR=6.937), smoking (P=0.012, OR=2.738), family history (P=0.005, OR=4.380) and gender (P≤0.05, OR=5.103). Conclusions: Current investigation shows that H. pylori infection, alcoholism, male gender, age and family history have an additive impact on the incidence of gastric cancer. In addition, alcoholism, opium usage, NSAIDs and family history have more impact on the incidence of acute gastric ulcer and acute duodenal ulcer in patients.

关键词： Helicobacter pylori Acute gastrointestinal disease Gastric cancer Acute duodenal ulcer Acute peptic ulcer disease

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

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

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

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： Talebi, Fatemeh A. Haydari, Zobaideh salehi, Hamid Mehrabi, Mozhdeh Gardy, Jabbar Bradley, Mike Bayly, Andrew E. Hassanpour, Ali Univ Leeds Sch Chem & Proc Engn Leeds LS2 9JT England Univ Greenwich Sch Engn Greenwich ME4 4TB England Cormica Ltd Listerhills Sci PkCampus Rd Bradford BD7 1HR England

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 layers. While 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 systems. This 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. (c) 2024 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. This is an open access article under the CC BY license (http:// ***/licenses/by/4.0/).

关键词： Powder spreading Powder flowability Powder properties Quality of layer and final products DISCRETE ELEMENT SIMULATION PARTICLE-SIZE DISTRIBUTION SPREADING PROCESS FLOW PROPERTIES NUMERICAL-SIMULATION DENSITY BULK FLOWABILITY SEGREGATION BEHAVIOR

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

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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