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Correlation between critical thinking and emotional intelligence:a national crosssectional study on operating room nursing students in Iran

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Frontiers of Nursing 2024年第1期11卷 99-104页

作者： Armin Fereidouni Esmaeil Teymoori Tayebeh Bahmani Hamid Reza Sabet Zahra Maleki Mina Gharibi Department of Operating Room Technology Community Based Psychiatric Care Research CenterSchool of Nursing and MidwiferyShiraz University of Medical SciencesShirazIran Department of Operating Room Technology School of Paramedical SciencesAJA University of Medical SciencesTehranIran Department of Operating Room School of Allied Medical ScienceFasa University of Medical SciencesFasaIran Clinical Education Research Center Shiraz University of Medical SciencesShirazIran Medical Journalism Department School of Paramedical SciencesShiraz University of Medical SciencesShirazIran Department of Epidemiology Student Research CommitteeShiraz University of Medical SciencesShirazIran

Objective:According to the World Federation of Medical Education,critical thinking should be part of the training of medical and paramedical *** can improve the quality of care of patients after surgery by having or acquiring this skill in health ***,Emotional intelligence is introduced as an impor tant and effective factor on the professional performance and mental health of healthcare ***,the present study was designed and implemented to determine the relationship between emotional intelligence and critical thinking among operating room nursing students of medical sciences universities in ***:This cross-sectional study was done on 420 operating room students in 10 top medical sciences universities of Iran in *** sampling method in this research was multistage *** data collection instruments included demographic characteristics,Rickett's critical thinking,and Bradberry-Greaves'emotional intelligence *** receiving the ethics code,data collection was done for 2 *** data analysis,descriptive and inferential analyses including independent t-tests,analysis of variance,and Pearson correlation were *** collected data were analyzed by SPSS 18(IBM Corporation,Armonk,New York,United States).P-value<0.05 was considered ***:The mean age of the students participating in this study was 23.02±3.70 years,with women constituting 67.4%of *** results of data analysis indicated that the mean total score of critical thinking and emotional intelligence was 124.10±37.52 and 114.12±43.63,respectively.A direct significant correlation between critical thinking and emotional intelligence(r=0.459,P-value<0.001)and a significant relationship between gender and emotional intelligence(P-value=0.028)were ***:Based on the present study results,educational managers in the Ministry of Health are suggested to consider suitable educational programs for improving critical think

关键词： critical thinking emotional intelligence operating room students operating room nurses

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Invasive Fungal Sinusitis in Immunocompromised Patients: A Multicenter, university Hospital Experience in shiraz

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Advances in Infectious Diseases 2013年第4期3卷 263-268页

作者： Mohsen Moghadami Hossein Ruzbahani Parisa Badiee Abolhassan Faramarzi Payam Peymani Kamran Bagheri Lankarani Alborzi Clinical Microbiology Research Center Shiraz University of Medical Sciences Shiraz Iran Department of Internal Medicine Shiraz Uni- versity of Medical Sciences Shiraz Iran Department of Otolaryngology Shiraz University of Medical Sciences Shiraz Iran Health Policy Research Center Shiraz University of Medical Sciences Shiraz Iran

Objective: It is to determine the causes of invasive fungal sinusitis in patients of shiraz university hospitals, Iran. Methods: This cross-sectional study was conducted during 18 months (from 21 March 2009 till 22 September 2010) in three shiraz university Hospitals. Thirty-six patients with sings of invasive fungal sinusitis were enrolled, and tissue samples were investigated for histopathology, culture and antifungal susceptibility test. The laboratory results with host factor and sinus computed tomography scan were evaluated for classification of patients as proven, probable and possible invasive fungal sinusitis. Results: Thirty-five patients have involved with at least one risk factor (immune compromised disease, diabetes mellitus, or use of immune suppressed drugs). Radiological findings of parasinus invasion or necrosis were present in 20 patients. By histopathology, 21 patients were considered as proven, from these, 17 samples had positive growth. The culture aetiology agents were 4 Candida, 8 Aspergillus, and 5 Mucor. All positive culture samples were matched with histopathology findings. Significant associations were considered for radiologic finding and histopathology and culture (p 0.05). From 8 patients with mucormycosis histopathology, 6 suffered from diabetes mellitus. None of the antifungal agents were effective on these three types of infections. Conclusion: DM is the most common predisposing factor for IFS followed by ALL and AML. The most common aetiology of IFS was found to be Aspergillus fumigant followed by Mucormycosis and Candida. None of antifungal agents could successfully cover all the species.

关键词： Fungal Sinusitis Mucor Mycosis Aspergillus Invasive Fungal

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Application of Stork Optimization Algorithm for Solving Sustainable Lot Size Optimization

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Computers, Materials & Continua 2024年第8期80卷 2005-2030页

作者： Tareq Hamadneh Khalid Kaabneh Omar Alssayed Gulnara Bektemyssova Galymzhan Shaikemelev Dauren Umutkulov Zoubida Benmamoun Zeinab Monrazeri Mohammad Dehghani Department of Mathematics Al Zaytoonah University of JordanAmman11733Jordan Faculty of Information Technology Al-Ahliyya Amman UniversityAmman19328Jordan Department of Mathematics Faculty of ScienceThe Hashemite UniversityP.O.Box 330127Zarqa13133Jordan Department of Computer Engineering International Information Technology UniversityAlmaty050000Kazakhstan Faculty of Engineering Liwa CollegeAbu Dhabi41009United Arab Emirates Department of Electrical and Electronics Engineering Shiraz University of TechnologyShiraz***Iran

The efficiency of businesses is often hindered by the challenges encountered in traditional Supply Chain Manage-ment(SCM),which is characterized by elevated risks due to inadequate accountability and *** address these challenges and improve operations in green manufacturing,optimization algorithms play a crucial role in supporting decision-making *** this study,we propose a solution to the green lot size optimization issue by leveraging bio-inspired algorithms,notably the Stork Optimization Algorithm(SOA).The SOA draws inspiration from the hunting and winter migration strategies employed by storks in *** theoretical framework of SOA is elaborated and mathematically modeled through two distinct phases:exploration,based on migration simulation,and exploitation,based on hunting strategy *** tackle the green lot size optimization issue,our methodology involved gathering real-world data,which was then transformed into a simplified function with multiple constraints aimed at optimizing total costs and minimizing CO_(2) *** function served as input for the SOA ***,the SOA model was applied to identify the optimal lot size that strikes a balance between cost-effectiveness and *** extensive experimentation,we compared the performance of SOA with twelve established metaheuristic algorithms,consistently demonstrating that SOA outperformed the *** study’s contribution lies in providing an effective solution to the sustainable lot-size optimization dilemma,thereby reducing environmental impact and enhancing supply chain *** simulation findings underscore that SOA consistently achieves superior outcomes compared to existing optimization methodologies,making it a promising approach for green manufacturing and sustainable supply chain management.

关键词： Optimization supply chain management sustainable lot size optimization bio-inspired metaheuristic stork

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Prediction of the burden of road traffic injuries in Iran by 2030: Prevalence, death,and disability-adjusted life years

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Chinese Journal of Traumatology 2024年第4期27卷 242-248页

作者： Mozhgan Seif Sedigheh Edalat Ali Majidpour Azad shirazi Somayeh Alipouri Mohsen Bayati Non-communicable Diseases Research Center Department of EpidemiologySchool of HealthShiraz University of Medical SciencesShirazIran Health Human Resources Research Center School of Health Management and Information SciencesShiraz University of Medical SciencesShirazIran Health Policy Research Center Institute of HealthShiraz University of Medical SciencesShirazIran

Purpose:Road traffic accidents pose a global challenge with substantial human and economic *** a high incidence of road traffic injuries,leading to a significant burden on *** studyaims to predict the future burden of road traffic injuries in Iran until 2030,providing valuable insights forpolicy-making and interventions to improve road safety and reduce the associated human and ***:This analytical study utilized time series models,specifically autoregressive integrated movingaverage(ARIMA)and artificial neural networks(ANNs),to predict the burden of road traffic accidents byanalyzing past data to identify patterns and trends in Iran until *** required data related toprevalence,death,and disability-adjusted life years(DALYs)rates were collected from the Institute forHealth Metrics and Evaluation database and analyzed using R software and relevant modeling andstatistical analysis ***:Both prediction models,ARIMA and ANNs indicate that the prevalence rates(per 100,000)of allroad traffic injuries,except for motorcyclist road injuries which have an almost flat trend,remaining ataround 430,increase by *** on estimations of both models,the rates of death and DALYs due tomotor vehicle and pedestrian road traffic injuries *** motor vehicle road injuries,estimatedtrends decrease to approximately 520 DALYs and 10 ***,for pedestrian road injuries these ratesreached approximately 300 DALYs and 6 deaths,according to the *** cyclists and other roadtraffic injuries,the predicted DALY rates by the ANN model increase to almost 50 and 8,while predictionsconducted by the ARIMA model show a static trend,remaining at 40 and approximately ***,these rates for the prediction of death rate by the ANN model increased to 0.6 and 0.1,while predictionsconducted by the ARIMA model show a static trend,remaining at 0.43 and *** to the ANNmodel,the predicted rates of DALY and death for m

关键词： Accidents Traffic Accident prevention Motorcycles Road injury Forecasting

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Impacts of interactions with low-mineralized water on permeability and pore behavior of carbonate reservoirs

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Energy Geoscience 2024年第4期5卷 278-290页

作者： Dmitriy A.Martyushev Inna N.Ponomareva Vasiliy I.Chernykh Shadfar Davoodi Yousef Kazemzadeh Tianshou Ma Department of Oil and Gas Technologies Perm National Research Polytechnic UniversityPermRussia School of Earth Sciences&Engineering Tomsk Polytechnic UniversityLenin AvenueTomskRussia Enhanced Oil Recovery(EOR)Research Center IOR/EOR Research InstituteShiraz UniversityShirazIran State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum UniversityChengduSichuanPR China

Laboratory filtration experiments are employed to investigate effective well killing while minimizing its impacts on surrounding *** novelty of this experimental study lies in the prolonged exposure of rock samples to the killing fluid for seven days,corresponding to the average duration of well workovers in the oilfields in Perm Krai,*** findings indicate that critical factors influencing the interactions between rocks and the killing fluid include the chemical composition of the killing fluid,the mineralogical composition of the carbonate rocks,reservoir pressure and temperature,and the contact *** analyses using multi-scale X-ray computed tomography,field emission scanning electron microscopy,and X-ray diffraction were conducted on samples both before and after the well killing *** experiments were performed using real samples of cores,crude oil,and the killing *** results from this study indicate that low-mineralized water(practically fresh water)is a carbonate rock *** water causes the dissolution of rock components,the formation of new calcite crystals and amoeba-like secretions,and the migration of small particles(clay,quartz,and carbonates).The formation of deep channels was also *** assessment reveals that the change in the pH of the killing fluid indicates that the observed mineral reactions were caused by carbonate *** combined phenomena led to a decrease in the total number of voids in the core samples,which was 25%on average,predominantly among voids measuring between 45 and 70μm in *** change in the pore distribution in the bulk of the samples resulted in decreases in porosity of 1.8%and permeability of 67.0%in the studied core *** results from this study indicate the unsuitability of low-mineralized water as a well killing fluid in carbonate *** composition of the killing fluid should be optimized,for example,in terms of the ionic composition of water,

关键词： Fine particle Clay mineral Low-mineralized water Geochemical dissolution Carbonate reservoir

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Limb Lengthening and Reconstruction Society orthopedic surgeons in the United States:An analysis of geographical distribution,academic,leadership,and demographic characteristics

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World Journal of Orthopedics 2024年第2期15卷 147-155页

作者： Amir Human Hoveidaei Reza Niakan Seyed Hossein Hosseini-Asl Abijith Annasamudram Janet D Conway International Center for Limb Lengthening Rubin Institute for Advanced OrthopedicsSinai Hospital of BaltimoreBaltimoreMD 21215United States Student Research Committee Shiraz University of Medical SciencesShiraz 73Iran Students’Scientific Research Center Tehran University of Medical SciencesTehran ***Iran

BACKGROUND The Limb Lengthening and Reconstruction Society(LLRS)is a premier orthopedic specialty organization that promotes limb reconstruction for all *** membership characteristics,however,are poorly *** study delineates orthopedic surgeon LLRS members’demographic traits,academic achievement,leadership attainment,and geographical distribution across the United *** To inform aspiring orthopedic professionals,as well as to promote growth and diversity in both the LLRS organization and overarching *** This cross-sectional study examined United States LLRS members’academic,leadership,demographic,and geographical *** reviewing the 2023 LLRS member directory,Google search results were matched to the listings and appended to the compiled *** and ethnicity were evaluated visually utilizing retrieved *** Hirsch index(H-index)of academic activity,residency and fellowship training,other graduate degrees,leadership positions,practice type(academic or non-academic),and spoken languages were *** members per state and capita determined geographic *** Mann Whitney U test was applied to compare H-index between males and females,as well as to assess member differences pertaining to affiliation with academic vs non-academic practice *** The study included 101 orthopedic surgeons,78(77.23%)Caucasian and 23(22.77%)non-Caucasian,79(78.22%)male and 22(21.78%)*** with DO degrees comprised only 3.96%(4)of the cohort,while the vast majority held MDs[96.04%(97)].Mean H-index was 10.55,with male surgeons having a significantly higher score(P=0.002).Most orthopedic surgeons(88.12%,)practiced in academic *** those professionals who occupied leadership positions,14%were women,while 86%were ***,19(37.25%)United States regions and the District of Columbia lacked an LLRS-member orthopedic *** per capita rate across the United States was 0.30 LLRS orthopedic

关键词： Limb lengthening and reconstruction Orthopedic surgeon demographics Orthopedic surgeon societal membership Orthopedic fellowships

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Geyser Inspired Algorithm:A New Geological-inspired Meta-heuristic for Real-parameter and Constrained Engineering Optimization

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Journal of Bionic Engineering 2024年第1期21卷 374-408页

作者： Mojtaba Ghasemi Mohsen Zare Amir Zahedi Mohammad-Amin Akbari Seyedali Mirjalili Laith Abualigah Department of Electronics and Electrical Engineering Shiraz University of TechnologyShirazIran Department of Electrical Engineering Faculty of EngineeringJahrom UniversityJahromFrasIran Department of Electrical and Computer Engineering Tarbiat Modares UniversityTehranIran Department of Electrical and Computer Engineering University ofCyprusNicosiaCyprus Centre for Artificial Intelligence Research and Optimisation Torrens University AustraliaBrisbaneQLD 4006Australia university Research and Innovation Center Obuda University1034 BudapestHungary Department of Electrical and Computer Engineering Lebanese American UniversityByblos 13-5053Lebanon Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman 19328Jordan MEU Research Unit Middle East UniversityAmman 11831Jordan Applied Science Research Center Applied Science Private UniversityAmman 11931Jordan

Over the past years,many efforts have been accomplished to achieve fast and accurate meta-heuristic algorithms to optimize a variety of real-world *** study presents a new optimization method based on an unusual geological phenomenon in nature,named Geyser inspired Algorithm(GEA).The mathematical modeling of this geological phenomenon is carried out to have a better understanding of the optimization *** efficiency and accuracy of GEA are verified using statistical examination and convergence rate comparison on numerous CEC 2005,CEC 2014,CEC 2017,and real-parameter benchmark ***,GEA has been applied to several real-parameter engineering optimization problems to evaluate its *** addition,to demonstrate the applicability and robustness of GEA,a comprehensive investigation is performed for a fair comparison with other standard optimization *** results demonstrate that GEA is noticeably prosperous in reaching the optimal solutions with a high convergence rate in comparison with other well-known nature-inspired algorithms,including ABC,BBO,PSO,and *** that the source code of the GEA is publicly available at https://***/projects/gea.

关键词： Nature-inspired algorithms Real-world and engineering optimization Mathematical modeling Geyser algorithm(GEA)

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Magnificent Frigatebird Optimization: A New Bio-Inspired Metaheuristic Approach for Solving Optimization Problems

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Computers, Materials & Continua 2024年第8期80卷 2721-2741页

作者： Tareq Hamadneh Khalid Kaabneh Ibraheem AbuFalahah Gulnara Bektemyssova Galymzhan Shaikemelev Dauren Umutkulov Sayan Omarov Zeinab Monrazeri Frank Werner Mohammad Dehghani Department of Mathematics Al Zaytoonah University of JordanAmman11733Jordan Faculty of Information Technology Al-Ahliyya Amman UniversityAmman19328Jordan Department of Mathematics Faculty of ScienceThe Hashemite UniversityP.O.Box 330127Zarqa13133Jordan Department of Computer Engineering International Information Technology UniversityAlmaty050000Kazakhstan Department of Big Data Analytics and Data Science Software Development Company《QazCode》Almaty050063Kazakhstan Department of Electrical and Electronics Engineering Shiraz University of TechnologyShiraz***Iran Faculty of Mathematics Otto-von-Guericke UniversityP.O.Box 4120Magdeburg39016Germany

This paper introduces a groundbreaking metaheuristic algorithm named Magnificent Frigatebird Optimization(MFO),inspired by the unique behaviors observed in magnificent frigatebirds in their natural *** foundation of MFO is based on the kleptoparasitic behavior of these birds,where they steal prey from other *** this process,a magnificent frigatebird targets a food-carrying seabird,aggressively pecking at it until the seabird drops its *** frigatebird then swiftly dives to capture the abandoned prey before it falls into the *** theoretical framework of MFO is thoroughly detailed and mathematically represented,mimicking the frigatebird’s kleptoparasitic behavior in two distinct phases:exploration and *** the exploration phase,the algorithm searches for new potential solutions across a broad area,akin to the frigatebird scouting for vulnerable *** the exploitation phase,the algorithm fine-tunes the solutions,similar to the frigatebird focusing on a single target to secure its *** evaluate MFO’s performance,the algorithm is tested on twenty-three standard benchmark functions,including unimodal,high-dimensional multimodal,and fixed-dimensional multimodal *** results from these evaluations highlight MFO’s proficiency in balancing exploration and exploitation throughout the optimization *** studies with twelve well-known metaheuristic algo-rithms demonstrate that MFO consistently achieves superior optimization results,outperforming its competitors across various *** addition,the implementation of MFO on four engineering design problems shows the effectiveness of the proposed approach in handling real-world applications,thereby validating its practical utility and robustness.

关键词： Optimization metaheuristic magnificent frigatebirds exploration exploitation

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Deciphering resistancemechanisms and novel strategies to overcome drug resistance in ovarian cancer:a comprehensive review

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Oncology Research 2024年第5期32卷 831-847页

作者： EFFAT ALEMZADEH LEILA ALLAHQOLI AFROOZ MAZIDIMORADI ESMAT ALEMZADEH FAHIMEH GHASEMI HAMID SALEHINIYA IBRAHIM ALKATOUT Infectious Diseases Research Center Birjand University of Medical SciencesBirjandIran Department of Midwifery Ministry of Health and Medical EducationTehranIran Student Research Committee Shiraz University of Medical SciencesShirazIran Department of Biotechnology Faculty of MedicineBirjand University of Medical SciencesBirjandIran Cellular and Molecular Research Center Birjand University of Medical SciencesBirjandIran Social Determinants of Health Research Center Birjand University of Medical SciencesBirjandIran Kiel School of Gynaecological Endoscopy Campus KielUniversity Hospitals Schleswig-HolsteinKielGermany

Ovarian cancer is among the most lethal gynecological cancers,primarily due to the lack of specific symptoms leading to an advanced-stage diagnosis and resistance to *** resistance(DR)poses the most significant challenge in treating patients with existing *** Food and Drug Administration(FDA)has recently approved three new therapeutic drugs,including two poly(ADP-ribose)polymerase(PARP)inhibitors(olaparib and niraparib)and one vascular endothelial growth factor(VEGF)inhibitor(bevacizumab)for maintenance ***,resistance to these new drugs has ***,understanding the mechanisms of DR and exploring new approaches to overcome them is crucial for effective *** this review,we summarize the major molecular mechanisms of DR and discuss novel strategies to combat DR.

关键词： Chemotherapy Drug resistance mechanisms Ovarian cancer PARP inhibitors VEGF inhibitor

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Security and Privacy Challenges in SDN-Enabled IoT Systems: Causes, Proposed Solutions,and Future Directions

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Computers, Materials & Continua 2024年第8期80卷 2511-2533页

作者： Ahmad Rahdari Ahmad Jalili Mehdi Esnaashari Mehdi Gheisari Alisa A.Vorobeva Zhaoxi Fang Panjun Sun Viktoriia M.Korzhuk Ilya Popov Zongda Wu Hamid Tahaei Institute of Artificial Intelligence Shaoxing UniversityShaoxing312000China Department of Computer Engineering Gonbad Kavous UniversityGonbad-e Kavus49717-99151Iran Faculty of Computer Engineering K.N.Toosi University of TechnologyTehran196976-4499Iran Department of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesChennai602105India Secure Information Technologies Department National Research University ITMOSt.Petersburg197101Russia School of Electrical and Computer Engineering Shiraz UniversityShiraz71946–84334Iran Department of Computer Science and Engineering Islamic Azad UniversityDamavand***Iran Department of R&D Shenzhen BKD Co.Ltd.Shenzhen518000China

Software-Defined Networking(SDN)represents a significant paradigm shift in network architecture,separating network logic from the underlying forwarding devices to enhance flexibility and centralize ***-rently,the Internet of Things(IoT)connects numerous devices to the Internet,enabling autonomous interactions with minimal human ***,implementing and managing an SDN-IoT system is inherently complex,particularly for those with limited resources,as the dynamic and distributed nature of IoT infrastructures creates security and privacy challenges during SDN *** findings of this study underscore the primary security and privacy challenges across application,control,and data planes.A comprehensive review evaluates the root causes of these challenges and the defense techniques employed in prior works to establish sufficient secrecy and privacy *** investigations have explored cutting-edge methods,such as leveraging blockchain for transaction recording to enhance security and privacy,along with applying machine learning and deep learning approaches to identify and mitigate the impacts of Denial of Service(DoS)and Distributed DoS(DDoS)***,the analysis indicates that encryption and hashing techniques are prevalent in the data plane,whereas access control and certificate authorization are prominently considered in the control plane,and authentication is commonly employed within the application ***,this paper outlines future directions,offering insights into potential strategies and technological advancements aimed at fostering a more secure and privacy-conscious SDN-based IoT ecosystem.

关键词： Security privacy-preserving software-defined network internet of things

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