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Modeling the dynamical behavior of the interaction of T-cells and human immunodeficiency virus with saturated incidence

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Communications in Theoretical Physics 2024年第3期76卷 1-14页

作者： Salah Boulaaras Rashid Jan amin Khan ali Allahem Imtiaz Ahmad Salma Bahramand Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia Institute of Energy Infrastructure(IEI) Department of Civil EngineeringCollege of EngineeringUniversiti Tenaga Nasional(UNITEN)Putrajaya CampusJalan IKRAM-UNITEN43000 KajangSelangorMalaysia Department of Mathematics University of SwabiSwabi 23561Pakistan Department of Mathematics College of SciencesQassim UniversitySaudi Arabia Institute of Informatics and Computing in Energy(IICE) Universiti Tenaga NasionalKajangSelangorMalaysia Department of Political Science Bacha Khan University CharsaddaCharsadda 24420KPK Pakistan

In the last forty years,the rise of HIV has undoubtedly become a major concern in the field of public health,imposing significant economic burdens on affected regions.Consequently,it becomes imperative to undertake comprehensive investigations into the mechanisms governing the dissemination of HIV within the human body.In this work,we have devised a mathematical model that elucidates the intricate interplay between CD4^(+)T-cells and viruses of HIV,employing the principles of fractional calculus.The production rate of CD4^(+)T-cells,like other immune cells depends on certain factors such as age,health status,and the presence of infections or diseases.Therefore,we incorporate a variable source term in the dynamics of HIV infection with a saturated incidence rate to enhance the precision of our findings.We introduce the fundamental concepts of fractional operators as a means of scrutinizing the proposed HIV model.To facilitate a deeper understanding of our system,we present an iterative scheme that elucidates the trajectories of the solution pathways of the system.We show the time series analysis of our model through numerical findings to conceptualize and understand the key factors of the system.In addition to this,we present the phase portrait and the oscillatory behavior of the system with the variation of different input parameters.This information can be utilized to predict the long-term behavior of the system,including whether it will converge to a steady state or exhibit periodic or chaotic oscillations.

关键词： HIV infection fractional-calculus dynamics of HIV iterative scheme dynamical behaviour mathematical model fractional derivatives

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Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques:A Comprehensive Review and Open Challenges

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1167-1202页

作者： Samina amin Muhammad ali Zeb Hani Alshahrani Mohammed Hamdi Mohammad Alsulami Asadullah Shaikh Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Information System College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

Social media(SM)based surveillance systems,combined with machine learning(ML)and deep learning(DL)techniques,have shown potential for early detection of epidemic outbreaks.This review discusses the current state of SM-based surveillance methods for early epidemic outbreaks and the role of ML and DL in enhancing their performance.Since,every year,a large amount of data related to epidemic outbreaks,particularly Twitter data is generated by SM.This paper outlines the theme of SM analysis for tracking health-related issues and detecting epidemic outbreaks in SM,along with the ML and DL techniques that have been configured for the detection of epidemic outbreaks.DL has emerged as a promising ML technique that adaptsmultiple layers of representations or features of the data and yields state-of-the-art extrapolation results.In recent years,along with the success of ML and DL in many other application domains,both ML and DL are also popularly used in SM analysis.This paper aims to provide an overview of epidemic outbreaks in SM and then outlines a comprehensive analysis of ML and DL approaches and their existing applications in SM analysis.Finally,this review serves the purpose of offering suggestions,ideas,and proposals,along with highlighting the ongoing challenges in the field of early outbreak detection that still need to be addressed.

关键词： Social media epidemic machine learning deep learning health informatics pandemic

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The global,prevalence,and risk factors of postoperative fever after percutaneous nephrolithotomy:A systematic review and meta-analysis

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Asian Journal of Urology 2024年第2期11卷 253-260页

作者： Reza Falahatkar Siavash Falahatkar Mohammad amin Khajavi Gaskarei Masoomeh Afzalipoor ali Mojtahedi Neda aligolighasemabadi Ahmad Deilami Samaneh Mirzaei Dahka Mohammad-Hossein Keivanlou alireza Jafari Urology Research Center Guilan University of Medical SciencesGuilanRashtIran Department of Surgery University of SaskatchewanSaskatoonCanada Microbiology Department School of MedicineGuilan University of Medical SciencesRashtIran Department of Internal Medicine School of MedicineGuilan University of Medical SiencesRashtIran School of Nursing and Midwifery Guilan University of Medical SciencesGuilanRashtIran

Objective:This study aimed to explore the global,prevalence,and risk factors of fever after percutaneous nephrolithotomy(PCNL)by conducting a systematic review and meta-analysis.Methods:The high-sensitivity searching was conducted without time limitation until December 30,2020 in Web of Sciences,Scopus,and PubMed based on inclusion and exclusion criteria.Results:The prevalence rates of fever and sepsis among patient undergoing PCNL were estimated 9.5%(95%confidence interval[CI]:9.3%-9.7%),and 4.5%(95%CI:4.2%-4.8%),respectively.Nephrostomy tube was used in 9.96%(95%CI:9.94%-9.97%)of patients.The mean preoperative white blood cells of patients were 6.401×109/L;18.3%and 4.55%of patients were considered as the positive urinary culture and pyuria,respectively.About 20.4%of patients suffered from residual stones.The odds ratios(ORs)of fever in patients who suffering from diabetes mellitus,hydronephrosis,staghorn stones,and blood transfusion were 4.62(95%CI:2.95-7.26),1.04(95%CI:0.81-1.34),2.57(95%CI:0.93-7.11),and 2.65(95%CI:1.62-4.35),respectively.Patients who underwent PCNL in prone position were more likely to develop fever(OR:1.23;95%CI:0.75-2.00)than patients in supine position.Conclusion:The current study showed that patients who suffer from diabetes mellitus,hydronephrosis,staghorn stones,nephrostomy tube or double-J stent,blood transfusion,and also patients who underwent PCNL in prone position surgery are more likely to develop a postoperative fever after PCNL.

关键词： Percutaneous nephrolithotomy Fever Hydronephrosis Diabetes Meta-analysis

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Comparison of resistive index and shear-wave elastography in the evaluation of chronic kidney allograft dysfunction

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World Journal of Transplantation 2024年第1期14卷 154-163页

作者： Ameet Kumar Jesrani Syed M Faiq Rahma Rashid Tariq ali Kalwar Rehan Mohsin Tahir Aziz Nida amin Khan Muhammed Mubarak Department of Radiology Sindh Institute of Urology and TransplantationKarachi 74200SindhPakistan Department of Pathology Sindh Institute of Urology and TransplantationKarachi 74200SindhPakistan Department of Transplantation Sindh Institute of Urology and TransplantationKarachi 74200SindhPakistan Department of Urology Sindh Institute of Urology and TransplantationKarachi 74200SindhPakistan

BACKGROUND Detection of early chronic changes in the kidney allograft is important for timely intervention and long-term survival.Conventional and novel ultrasound-based investigations are being increasingly used for this purpose with variable results.AIM To compare the diagnostic performance of resistive index(RI)and shear wave elastography(SWE)in the diagnosis of chronic fibrosing changes of kidney allograft with histopathological results.METHODS This is a cross-sectional and comparative study.A total of 154 kidney transplant recipients were included in this study,which was conducted at the Departments of Transplantation and Radiology,Sindh Institute of Urology and Transplantation,Karachi,Pakistan,from August 2022 to February 2023.All consecutive patients with increased serum creatinine levels and reduced glomerular filtration rate(GFR)after three months of transplantation were enrolled in this study.SWE and RI were performed and the findings of these were evaluated against the kidney allograft biopsy results to determine their diagnostic utility.RESULTS The mean age of all patients was 35.32±11.08 years.Among these,126(81.8%)were males and 28(18.2%)were females.The mean serum creatinine in all patients was 2.86±1.68 mg/dL and the mean estimated GFR was 35.38±17.27 mL/min/1.73 m2.Kidney allograft biopsy results showed chronic changes in 55(37.66%)biopsies.The sensitivity,specificity,positive predictive value(PPV),and negative predictive value(NPV)of SWE for the detection of chronic allograft damage were 93.10%,96.87%%,94.73%,and 95.87%,respectively,and the diagnostic accuracy was 95.45%.For RI,the sensitivity,specificity,PPV,and NPV were 76.92%,83.33%,70.17%,and 87.62%,respectively,and the diagnostic accuracy was 81.16%.CONCLUSION The results from this study show that SWE is more sensitive and specific as compared to RI in the evaluation of chronic allograft damage.It can be of great help during the routine follow-up of kidney transplant recipients for screening and early detection of chronic changes and select

关键词： Shear wave Sonoelastography Resistive index Chronic allograft changes Biopsy Histopathology

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Association between microRNA-21, microRNA-150, and micro- RNA-451 expression and clinical outcome of patients with acute lymphoblastic leukemia

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Frontiers in Biology 2017年第1期12卷 63-70页

作者： ali amin asnafi Elahe Khodadi Neda Golchin Arash Alghasi Yousef Tavakolifar Najmaldin Saki Health Research Institute Research Center of Thalassemia and Hemoglobinopathy Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran Golestan hospital clinical research development unit Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran

BACKGROUND： Acute lymphoblastic leukemia （ALL） occurs owing to the defective maturation, increased proliferation, and lack of differentiation of lymphoid cells. Evaluation of the expression levels of microRNAs （miRNAs） could help in the prognosis and improve the clinical outcome of ALL patients. Given the role of miR-21, miR-150, and miR-451 as oncogenes and tumor suppressors in lymphocytes, this study explored the relation between the expression levels of these miRNAs and the clinical outcomes of ALL patients. METHODS： cDNA synthesis and RT-PCR were performed for peripheral blood samples from 41 patients with ALL, as well as for U937 and Jurkat cell lines to examine the expression of miR-451, miR-150, and miR-21 after miRNA purification. We also performed an epidemiological analysis in which Mann-Whitney and Chi-square tests were used to investigate the relationship between the expression of miRNAs and other clinical and laboratory data. Binary logistic regression models were used to estimate the odds ratio in univariate and multivariate analyses for clinical outcomes. RESULTS： miR-21 and miR-150 expression was found to be decreased, while miR-451 expression showed no difference compared to the control group. There was a significant relationship between miR-451 expression and hemoglobin （Hb） levels, as well as between miR-150 expression and clinical outcomes of ALL patients. CONCLUSION： Increased expression of miR-451 decreased the Hb levels; reduced expression of miR-150 was associated with increased relapse rate in patients. Age, increased WBC, and decreased Hb levels were associated with increased relapse rates in ALL patients. Therefore, miR-150 could be used as a biomarker to determine the clinical outcome of ALL patients.

关键词： acute lymphoblastic leukemia miRNA clinical outcome

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Evaluation of miR-21 and miR-150 expression in immune thrombocytopenic purpura pathogenesis： a case-control study

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Frontiers in Biology 2017年第5期12卷 361-369页

作者： Elahe Khodadi ali amin asnafi Javad Mohammadi-Asl Seyed Ahmad Hosseini Amal Saki Malehi Najmaldin Saki Thalassemia & Hemoglobinopathy Research center research institute of health Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran Department of Medical Genetics Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran Nutrition and Metabolic Diseases Research Center Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran

BACKGROUND： Immune thrombocytopenic purpnra （ITP） is a common autoimmune disorder diagnosed with thrombocytopenia and bleeding symptoms due to production of autoantibodies （Abs） against platelets. Nowadays, microRNAs are known as novel biomarkers for diagnosis of diseases. The aim of this study was to investigate the expression levels of miR-21 and miR-150 in ITP patients and determine the role of these miRNAs in ITP pathogenesis. MATERIALS and METHODS： Thirty newly diagnosed patients with acute ITP and 30 healthy subjects（ age and sex matched） as controls were enrolled in this study. The expression level ofmiR-21 and miR- 150 was investigated using Real-time-PCR. Comparison of demographic characteristics of the cases was done using independent t-test and chi-square test. Comparison of the expression level of miR-21 and miR-150 with the related parameters was done using independent t-test or Mann-Whitney and Kruskal-Wallis test, Spearman rho correlation coefficient was used to investigate the relationship between the expression of miR-21 and miR-150 with demographic characteristics. RESULTS： The expression of miR-21, 150 in the patients was not different compared with the control group in general. A significant relationship between the expression of miR-21 with hemoglobin, hematocrit and red blood cell hemoglobin concentration was observed. DISCUSSION： Expression of miR-21 and miR-150 is not associated with pathogenesis of acute ITP and can involve the synergistic role of other miRNAs. Investigation of miR-21 and miR-150 expression along with other miRNAs and cytokines can be helpful in diagnosis and pathogenesis of ITP.

关键词： immune thrombocytopenic purpura miR-21 miR- 15 0

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MicroRNAs in erythropoiesis and red blood cell disorders

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Frontiers in Biology 2015年第4期10卷 321-332页

作者： Javad Mohammdai-asl Abolfazl Ramezani Fatemeh Norozi Amal Saki Malehi ali amin asnafi Mohammad ali Jalali Far Seyed Hadi Mousavi Najmaldin Saki Department of Medical Genetics Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran Healthresearch Institute Research Center of Thalassemia & Hemoglobinopathy Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran Department of Biostatistics and Epidemiology School of Public Health Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran Hematology Department Allied Medical School Tehran University of Medical Sciences Tehran Iran

MicroRNAs （miRNAs） are 19-24 nucleotide non-coding ribonucleic acids binding DNA or RNA and controlling gene expression via mRNA degradation or its transcription inhibition. Erythropoies is a multi step differentiation process of erythroid progenitors to nucleate red blood cells. Maturation, proliferation and differentiation of red blood cells is affected by erythroid factors, signaling pathways in niche of hematopoietic cells, transcription factors as well as miRNAs. Expression of different types of miRNAs during erythroid development provides a background for the study of these molecules to control erythroid differentiation and maturation as well as their use as diagnostic and prognostic markers to treat erythroid disorders like thalassemia, sickle cell disease and erythrocyte enzyme deficiencies. In this paper, with reference to biosynthesis of miRNAs, their function in normal and anemic erythropoiesis has been investigated. The target molecule of each of these miRNAs has been cited in an attempt to elucidate their role in erythropoiesis.

关键词： miRNA erythropoiesis red blood cell

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Daytime-nighttime variations in the concentration of PM_(0.1) carbonaceous particles during a biomass fire episode in Chiang Mai,Thailand

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Particuology 2024年第4期87卷 316-324页

作者： Worradorn Phairuang Thaneeya Chetiyanukornkul Phuchiwan Suriyawong Sotasing Ho Phakphum Paluang Masami Furuuchi Muhammand amin Mitsuhiko Hata Faculty of Gesciences and CivilEngineering Institute of Science and Enginering Kanazawa UniverityKanazawaIshkawa92192Japan Department of Geography Faculty of Social SciencesChiang Mai UniversityMuangChiang Mai 50200Thailand Department of Biology Faculty of ScienceChiang Mai UniversityMuangChiang Mai50200Thailand Research Unit for Eergyonomics and Eological Management Multidisciplinary Research Insttute Chiang Mai UniversityChiang Mai50200Thailand Management and Development Training Program Office National Institute of ScienceTechnology and Innovation120601Cambodia Faculty of Engineering Maritim University of Raja Ali HajTanjung PinangKepulauan Riau29115Indonesia

Carbonaceous aerosols affect air quality adversely,affect global warming,and human health.However,our understanding of the impact of ultrafine(PM_(0.1))carbonaceous particulate matter is incomplete,particularly the effects during haze episodes.This study monitored diurnal variations in PM_(0.1) in Chiang Mai,Thailand,from March to April 2020.We investigated carbonaceous PM_(0.1) collected by an ambient nano-sampler and evaluated their effect by using a carbon analyzer(IMPROVE_TOR).The results showed that burning large open areas in the dry season was crucial for increasing the particle mass concentration because of the large open burnings that occurred in this area.The majority of biomass fires near the sampling site occurred during the night,which would allow more particles to be released thus resulting in higher concentrations of PM_(0.1).Hence,the release of PM_(0.1) during the night would obviously result in higher concentrations than that during the day.In the eight carbon profiles,organic carbon 3(OC3)was predicted to be a marker of biomass fires.The carbon indices displayed that PM_(0.1) was influenced by biomass burning both daytime and nighttime.The findings reported herein should be of great impor-tance in terms of establishing biomass burning control policies for mitigating heavy haze pollution in Thailand and elsewhere.

关键词： Biomass burning Carbon Forest fires Nanoparticles Ultrafine particles

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An Improved Enterprise Resource Planning System Using Machine Learning Techniques

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Journal of Software Engineering and Applications 2024年第5期17卷 203-213页

作者： Ahmed Youssri Zakaria Elsayed Abdelbadea Atef Raslan Tarek ali Mervat Gheith Al-Sayed Khater Essam A. amin Department of Software Engineering Faculty of Graduate Studies for Statistical Research (FGSSR) Cairo University Giza Egypt

Traditional Enterprise Resource Planning (ERP) systems with relational databases take weeks to deliver predictable insights instantly. The most accurate information is provided to companies to make the best decisions through advanced analytics that examine the past and the future and capture information about the present. Integrating machine learning (ML) into financial ERP systems offers several benefits, including increased accuracy, efficiency, and cost savings. Also, ERP systems are crucial in overseeing different aspects of Human Capital Management (HCM) in organizations. The performance of the staff draws the interest of the management. In particular, to guarantee that the proper employees are assigned to the convenient task at the suitable moment, train and qualify them, and build evaluation systems to follow up their performance and an attempt to maintain the potential talents of workers. Also, predicting employee salaries correctly is necessary for the efficient distribution of resources, retaining talent, and ensuring the success of the organization as a whole. Conventional ERP system salary forecasting methods typically use static reports that only show the system’s current state, without analyzing employee data or providing recommendations. We designed and enforced a prototype to define to apply ML algorithms on Oracle EBS data to enhance employee evaluation using real-time data directly from the ERP system. Based on measurements of accuracy, the Random Forest algorithm enhanced the performance of this system. This model offers an accuracy of 90% on the balanced dataset.

关键词： ERP HCM Machine Learning Employee Performance Pythonista Pythoneer

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Comparison of the effects of high-intensity interval and moderate-intensity continuous training on inflammatory markers,cardiorespiratory fitness,and quality of life in breast cancer patients

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Journal of Sport and Health Science 2023年第6期12卷 674-689,F0003页

作者： amin Isanejad Somayeh Nazari Behroz Gharib ali Ghanbari Motlagh Immunoregulation Research Center Shahed UniversityTehran ***Iran Department of Exercise Physiology Sport Sciences Research InstituteTehran ***Iran Department of Physical Education and Sport Sciences Faculty of Human SciencesShahed UniversityTehran ***Iran Oncology Department Naft HospitalTehran ***Iran Cancer Research Center Shahid Beheshti University of Medical SciencesTehran ***Iran

Background:As the effectiveness of breast cancer treatment has improved,a growing number of long-term breast cancer survivors are seeking help for unique health problems.These patients may be at increased risk of cardiovascular disease due to the side effects of treatment.The positive impact of most types of exercise has been repeatedly reported in people with cancer,but the most effective exercise approaches for maximum beneficial adaptations remain controversial.Thus,this study aimed to compare the effects of high-intensity interval training(HIIT)and moderate-intensity continuous training(MICT) on inflammatory indices,adipokines,metabolic markers,body composition,cardiorespiratory fitness,and quality of life in breast cancer patients during adjuvant endocrine therapy.Methods:Thirty non-metastatic breast cancer patients during adjuvant endocrine therapy who had been treated with chemotherapy and/or radiotherapy were recruited from Iran and randomized to HIIT,MICT,or control groups for a supervised exercise intervention that took place 3 times a week for 12 weeks.The training intensity was determed based on the peak oxygen uptake(VO2peak),and the volume of training was matched in HIIT and MICT based on the VO2peak.Body composition,functional capacity,cardiorespiratory fitness,metabolic indices,sex hormones,adipokines,and inflammatory markers were assessed before and after the intervention.Results:The VO2peakincreased by 16.8% in the HIIT group in comparison to baseline values(mean difference=3.61 mL/kg/min).HIIT significantly improved the VO2peakcompared to control(mean difference=3.609 mL/kg/min) and MICT(mean differences=2.974 mL/kg/min)groups.Both HIIT(mean difference=9.172 mg/dL) and MICT(mean difference=7.879 mg/dL) interventions significantly increased highdensity lipoprotein cholesterol levels compared to the control group.The analysis of covariance showed that physical well-being significantly improved in MICT compared to control group(mean difference=3.268).HIIT significantly improved the social well-bei

关键词： Breast cancer Cardiorespiratory fitness HIIT Inflammation MICTTagedAPTARAEnd

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