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From Entry to Evasion:A Comprehensive Analysis of Host-Virus Interactions for Monkeypox

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Infectious Microbes & Diseases 2024年第2期6卷 56-64页

作者： Vahideh Hamidi Sofiani Mohammad Rezaei Zadeh Rukerd Javad Charostad Mohammad Pardeshenas Reza Ghazi Nasir Arefinia Sara Shafieipour Faranak Salajegheh mohsen Nakhaie Department of Microbiology Golestan University of Medical SciencesGorganIran Gastroenterology and Hepatology Research Center Institute of Basic and Clinical Physiology SciencesKerman University of Medical SciencesKermanIran Universal Scientific Education and Research Network(USERN) TehranIran Department of Microbiology Faculty of MedicineShahid Sadoughi University of Medical SciencesYazdIran Department of Microbiology School of MedicineKerman University of Medical SciencesKermanIran Department of Biotechnology Golestan University of Medical SciencesGorganIran Student Research Committee Jiroft University of Medical SciencesJiroftIran Physiology Research Center Institute of NeuropharmacologyKerman University of Medical SciencesKermanIran Clinical Research Development Unit School of MedicineAfzalipour HospitalKerman University of Medical SciencesKermanIran

Monkeypox(Mpox)has posed a novel challenge and emerged as a threat to global public health since the onset of its outbreak in *** is spreading throughout the world in both endemic and non-endemic countries,indicating that its behavior is *** prevalence of Mpox and the risk of a global pandemic necessitate a better understanding of Mpox virus replications and interactions with the ***,we attempted to provide a detailed comprehensive review of Mpox virus behavior at the molecular level from the entry level to the establishment of a successful infection,including attachment and entry,DNA replication,protein expression and viron assembly and *** review also describes its strategies to evade host immune responses and inhibit apoptosis,and uncovers underlying molecular mechanisms such as subverted signaling pathways and cellular factors behind host-viral interactions.

关键词： monkeypox immunity apoptosis virus-host interaction

Country-based modelling of COVID-19 case fatality rate:A multiple regression analysis

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World Journal of Virology 2024年第1期13卷 84-94页

作者： Soodeh Sagheb Ali Gholamrezanezhad Elizabeth Pavlovic mohsen Karami Mina Fakhrzadegan Department of Radiology Seattle Children's HospitalUniversity of WashingtonSeattleWA 98145United States Department of Radiology Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCA 90033United States Department of Nursing University of New BrunswickNew Brunswick E3B 5A3Canada Department of Orthopedics Taleghani HospitalShahid Beheshti University of Medical SciencesTehran ***Iran

BACKGROUND The spread of the severe acute respiratory syndrome coronavirus 2 outbreak worldwide has caused concern regarding the mortality rate caused by the *** determinants of mortality on a global scale cannot be fully understood due to lack of *** To identify key factors that may explain the variability in case lethality across *** We identified 21 Potential risk factors for coronavirus disease 2019(COVID-19)case fatality rate for all the countries with available *** examined univariate relationships of each variable with case fatality rate(CFR),and all independent variables to identify candidate variables for our final multiple *** regression analysis technique was used to assess the strength of *** The mean of COVID-19 mortality was 1.52±1.72%.There was a statistically significant inverse correlation between health expenditure,and number of computed tomography scanners per 1 million with CFR,and significant direct correlation was found between literacy,and air pollution with *** final model can predict approximately 97%of the changes in *** The current study recommends some new predictors explaining affect mortality ***,it could help decision-makers develop health policies to fight COVID-19.

关键词： COVID-19 SARS-CoV-2 Case fatality rate Predictive model Multiple regression

Sino-nasal outcome Test-22 and Lund–Mackay CT score to select endoscopic sinus surgery in chronic rhinosinusitis

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World Journal of Otorhinolaryngology-Head and Neck Surgery 2024年第3期10卷 200-205页

作者： Abolfazl Taheri Sajad Hasani mohsen Saberi Esfeedvajani Masoumeh Saeedi Reyhane Abolghasemi New Hearing Technologies Research Center Clinical Sciences InstituteBaqiyatallah University of Medical SciencesTehranIran Department of Otorhinolaryngology Head and Neck SurgeryFaculty of MedicineBaqiyatallah University of Medical SciencesTehranIran Faculty of Medicine Baqiyatallah University of Medical SciencesTehranIran Department of Community Medicine MedicineQuran and Hadith Research CenterFaculty of MedicineBaqiyatallah University of Medical SciencesTehranIran

Objectives:Chronic rhinosinusitis is one of the common diseases that cause morbidity and affects a person's quality of *** tried to provide a more appropriate and effective approach to selecting patients for endoscopic sinus ***:The study population is chronic rhinosinusitis children referred to the ear,nose,and throat clinic of two general hospitals in Tehran,Iran,who have previously undergone sufficient drug treatment and have not *** Lund–Mackay score is calculated by examining the computed tomography(CT)*** Sino-nasal Outcome Test-22(SNOT-22)questionnaire was provided to the patients before the operation,after the operation,and 3 and 6 months later in the ***:Before the operation,the most SNOT-22 score people were in the range of 40–59 *** SNOT-22 score before the operation is significantly different from 3 and 6 months after the *** highest frequency of Lund–Mackay CT(LMCT)scan score was in the range of 18–23 *** LMCT scan score did not show any significant relationship with the SNOT-22 score before surgery,3 months,and 6 months after *** to aspirin had a significant relationship with SNOT-22 scores and the history of asthma and nasal polyps had a significant relationship with the preoperative LMCT scan ***:The LMCT scan scoring system cannot be a good measure of chronic rhinosinusitis severity or the prognosis of patients after *** SNOT-22 questionnaire can be used as a predictive tool to help the doctor and the patient in deciding to operate and the possibility of obtaining a relative recovery.

关键词： endoscopic surgical procedures Lund–Mackay CT score sinusitis SNOT-22 questionnaire

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

原油沥青质含量对纳米颗粒-十二烷基硫酸钠发泡二氧化碳泡沫稳定性的影响

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石油勘探与开发 2024年第1期51卷 212-222页

作者： SADEGHI Hossein KHAZ'ALI Ali Reza MOHAMMADI mohsen 伊斯法罕理工大学化学工程系伊朗伊斯法罕84156-83111 丹麦技术大学丹麦海洋工程技术中心丹麦灵比2800

采用十二烷基硫酸钠(SDS)表面活性剂和SiO_(2)纳米颗粒作为发泡体系,在不同原油沥青质含量下进行泡沫稳定性实验,测量CO_(2)泡沫半衰期;采用扫描电子显微图像、紫外分光光度法测试和Zeta电位测量,分析沥青质降低CO_(2)泡沫稳定性的机理... 详细信息

采用十二烷基硫酸钠(SDS)表面活性剂和SiO_(2)纳米颗粒作为发泡体系,在不同原油沥青质含量下进行泡沫稳定性实验,测量CO_(2)泡沫半衰期;采用扫描电子显微图像、紫外分光光度法测试和Zeta电位测量,分析沥青质降低CO_(2)泡沫稳定性的机理。研究表明:当合成油与发泡体系质量比为1∶9时,合成油沥青质质量分数从0增至15%,SDS稳定泡沫半衰期从751 s减少至239 s,SDS-SiO_(2)稳定泡沫半衰期从912 s缩短至298 s;当合成油与发泡体系质量比为2∶8时,随着沥青质质量分数增大,SDS稳定泡沫半衰期从526 s缩短至171 s,SDS-SiO_(2)稳定泡沫半衰期从660 s缩短至205 s。由于沥青质与SDS和SiO_(2)纳米颗粒在水相中的相互作用,Zeta电位绝对值减小,颗粒表面电荷降低,导致薄液膜两侧界面之间的排斥力减小,从而破坏泡沫稳定性。

关键词： CO_(2)泡沫泡沫稳定性沥青质二氧化硅纳米颗粒十二烷基硫酸钠(SDS) 排斥力表面电荷 Zeta电位

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Parallel Inference for Real-Time Machine Learning Applications

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Journal of Computer and Communications 2024年第1期12卷 139-146页

作者： Sultan Al Bayyat Ammar Alomran mohsen Alshatti Ahmed Almousa Rayyan Almousa Yasir Alguwaifli College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia

Hyperparameter tuning is a key step in developing high-performing machine learning models, but searching large hyperparameter spaces requires extensive computation using standard sequential methods. This work analyzes the performance gains from parallel versus sequential hyperparameter optimization. Using scikit-learn’s Randomized SearchCV, this project tuned a Random Forest classifier for fake news detection via randomized grid search. Setting n_jobs to -1 enabled full parallelization across CPU cores. Results show the parallel implementation achieved over 5× faster CPU times and 3× faster total run times compared to sequential tuning. However, test accuracy slightly dropped from 99.26% sequentially to 99.15% with parallelism, indicating a trade-off between evaluation efficiency and model performance. Still, the significant computational gains allow more extensive hyperparameter exploration within reasonable timeframes, outweighing the small accuracy decrease. Further analysis could better quantify this trade-off across different models, tuning techniques, tasks, and hardware.

关键词： Machine Learning Models Computational Efficiency Parallel Computing Systems Random Forest Inference Hyperparameter Tuning Python Frameworks (TensorFlow PyTorch Scikit-Learn) High-Performance Computing

Design and Implementation of Patient Online Guide System

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南开大学学报（自然科学版） 2024年第4期57卷 37-43页

作者： Nada mohsen Darwish Mohamed Dong Liang Wang Lin Sun Guiling College of Electronic Information and Optical Engineering Nankai UniversityTianjin 300350China

The design and implementation of an online guide system were presented for *** system offers a website that makes it easier for patients,or any ordinary visitor to diagnose their disease by simply uploading their MRI image,the website also assists the patient in determining the doctor they need to see,and finding the nearest hospital or blood *** build the website,SQL Server,MAT-LAB,and Adobe Dreamweaver were *** rapid increase in digital images produced in hospitals us-ing medical imaging techniques such as X-Ray,CT scans,MRI,and ultrasound has increased the demand for efficient image retrieval *** description,and annotation of each image in a large database using text-based indexing(also known as the Metadata approach)is time-consuming,and impractical,making Content-based Image Retrieval(CBIR)a better *** system proposed returns results based on visual features of the image,such as color,texture,and shape.

关键词： CBIR database information retrieval systems wavelet transform

Tendency to Avoid Physical Activity and Sport:Associations with Weight Stigma,and Psychological Distress in a Two-Wave Longitudinal Study

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International Journal of Mental Health Promotion 2024年第8期26卷 633-641页

作者： Saffari mohsen Yi-Ching Lin Po-Ching Huang Yu-Ting Huang Ru-Yi Huang Chi Hsien Huang Jung-Sheng Chen Wai Chuen Poon Mark D.Griffiths Chung-Ying Lin Health Research Center Life Style InstituteBaqiyatallah University of Medical SciencesTehran***Iran Health Education Department Faculty of HealthBaqiyatallah University of Medical SciencesTehran***Iran Department of Early Childhood and Family Education National Taipei University of EducationTaipei106TaiwanChina School of Physical Therapy Graduate Institute of Rehabilitation ScienceCollege of MedicineChang Gung UniversityTaoyuan333TaiwanChina Institute of Allied Health Sciences College of MedicineNational Cheng Kung UniversityTainan701TaiwanChina Division of Family Medicine Taipei Tzu Chi HospitalBuddhist Tzu Chi Medical Foundationand School of MedicineTzu Chi UniversityHualienTaiwanChina Data Science Degree Program National Taiwan University and Academia SinicaTaipeiTaiwanChina Department of Family Medicine and Community Medicine E-Da HospitalI-Shou UniversityKaohsiung824TaiwanChina College of Medicine I-Shou UniversityKaohsiung840Taiwan Department of Medical Research E-Da HospitalI-Shou UniversityKaohsiung840TaiwanChina Sunway Business School Sunway UniversitySelangor47500Malaysia International Gaming Research Unit Psychology DepartmentNottingham Trent UniversityNottinghamNG14BUUK Department of Public Health College of MedicineNational Cheng Kung UniversityTainan701TaiwanChina Biostatistics Consulting Center National Cheng Kung University HospitalCollege of MedicineNational Cheng Kung UniversityTainan704TaiwanChina Department of Occupational Therapy College of MedicineNational Cheng Kung UniversityTainan701TaiwanChina

Background:Physical inactivity is a major public health problem worldwide that results in physical and mental health *** major issue for physical inactivity is weight stigma(WS),especially perceived WS,which could lead to a tendency to avoid physical activity(PA).To better understand the association between perceived WS and PA,knowledge of the likely mediators in this association such as weight bias internalization(WBI)and psychological distress were investigated in the present ***:Using a two-wave longitudinal study and convenient sampling,388 Taiwan residents participants(55%females;mean age=29.7 years[SD±6.3])completed two surveys six months *** mass index(BMI),Perceived Weight Stigma Scale(PWSS),Weight Bias Internalization Scale(WBIS),Depression,Anxiety,Stress Scale(DASS-21),and Tendency to Avoid Physical Activity and Sport Scale(TAPAS)were ***:A mediation model controlling for age,gender,and BMI with 5000 bootstrapping resamples was *** WS exerted significant direct effects on WBI(β=0.25;p<0.001),psychological distress(β=0.15;p=0.003),and tendency to avoid PA(β=0.10;p=0.027);WBI exerted a significant direct effect on tendency to avoid PA(β=0.47;p<0.001).Standardized indirect effects of WBI and psychological distress on the association between perceived WS and tendency to avoid PA were 0.12 and 0.01,***:Given the direct association of perceived WS on the tendency to avoid PA and the mediating role of WBI in this association,interventions addressing perceived WS and WBI may contribute to promoting ***,health interventionists(both when planning and executing PA programs)need to consider weight stigmawhen encouraging physical activity.

关键词： Mediation model physical activity psychological distress weight stigma young adults

Chaotic Elephant Herd Optimization with Machine Learning for Arabic Hate Speech Detection

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Intelligent Automation & Soft Computing 2024年第3期39卷 567-583页

作者： Badriyya B.Al-onazi Jaber S.Alzahrani Najm Alotaibi Hussain Alshahrani Mohamed Ahmed Elfaki Radwa Marzouk Heba mohsen Abdelwahed Motwakel Department of Language Preparation Arabic Language Teaching InstitutePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMecca24382Saudi Arabia Prince Saud AlFaisal Institute for Diplomatic Studies Riyadh12735Saudi Arabia Department of Computer Science College of Computing and Information TechnologyShaqra UniversityShaqra11911Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in Egypt New CairoNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipAl-Kharj16278Saudi Arabia

In recent years,the usage of social networking sites has considerably increased in the Arab *** has empowered individuals to express their opinions,especially in ***,various organizations that operate in the Arab countries have embraced social media in their day-to-day business activities at different *** is attributed to business owners’understanding of social media’s importance for business ***,the Arabic morphology is too complicated to understand due to the availability of nearly 10,000 roots and more than 900 patterns that act as the basis for verbs and *** speech over online social networking sites turns out to be a worldwide issue that reduces the cohesion of civil *** this background,the current study develops a Chaotic Elephant Herd Optimization with Machine Learning for Hate Speech Detection(CEHOML-HSD)model in the context of the Arabic *** presented CEHOML-HSD model majorly concentrates on identifying and categorising the Arabic text into hate speech and *** attain this,the CEHOML-HSD model follows different sub-processes as discussed *** the initial stage,the CEHOML-HSD model undergoes data pre-processing with the help of the TF-IDF ***,the Support Vector Machine(SVM)model is utilized to detect and classify the hate speech texts made in the Arabic ***,the CEHO approach is employed for fine-tuning the parameters involved in *** CEHO approach is developed by combining the chaotic functions with the classical EHO *** design of the CEHO algorithm for parameter tuning shows the novelty of the work.A widespread experimental analysis was executed to validate the enhanced performance of the proposed CEHOML-HSD *** comparative study outcomes established the supremacy of the proposed CEHOML-HSD model over other approaches.

关键词： Arabic language machine learning elephant herd optimization TF-IDF vectorizer hate speech detection