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Utilizing blockchains in opportunistic networks for integrity and confidentiality

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Blockchain(Research and Applications) 2024年第1期5卷 31-38页

作者： samaneh Rashidibajgan Thomas Hupperich Cyber Security Department of Information SystemsUniversity of Münster80539 MünsterGermany

Opportunistic networks(OppNets)are usually a set of smart,wearable,and portable devices or entities with mobility that connect wirelessly without requiring *** a network is of great importance in data transmission,particularly in incidents and disasters,whether man-made or ***,message integrity and confidentiality are of concern when dealing with vital and physiological data transmission under strict privacy *** this work,we propose a structure to classify messages based on their priority in different ***,due to the decentralized architecture of OppNets,we propose a blockchain-based structure for providing security for high-priority *** contains three sequences of functional blocks with a light and simplified implementation that make it suitable for battery-powered wearable devices that are limited in energy consumption and computational *** simulation results show that by increasing the number of nodes in the network,the average of the changes in block sizes is neglectable,which addresses the computation ***,we analyze the performance of the proposed structure in terms of message delivery and network overhead compared with the Epidemic and Prophet routing *** results indicate advancing the overall performance of the proposed algorithm.

关键词： Opportunistic networks Blockchain Message integrity Message confidentiality

The anti-neoplastic effects of metformin modulate the acquired phenotype of fbroblast cells in the breast cancer-normal fbroblast co-culture system

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Oncology Research 2024年第3期32卷 477-487页

作者： samaneh MOSTAFAVI ZUHAIR MOHAMMAD HASSAN Department of Immunology Faculty of Medical SciencesTarbiat Modares UniversityTehranIran

Intracellular communications between breast cancer and fibroblast cells were reported to be involved in cancer proliferation,growth,and therapy *** hallmarks of cancer fibroblast interactions,consisting of caveolin 1(Cav1)and mono-carboxylate ransporter 4(MCT4)(metabolic coupling markers),along with IL-6,TGFB,and lactate secretion,are considered robust biomarkers predicting recurrence and *** order to promote a novel phenotype in normal fibroblasts,we predicted that breast cancer cells could be able to cause loss of Cavl and increase of MCT4,as well as elevate IL 6 and TGF in nearby nomal *** created a co culture model using breast cancer(4T1)and normal fibroblast(NIH3T3)cell lines cultured under specific experimental conditions in order to directly test our ***,we show that long-term co-culture of breast cancer cells and normal fibroblasts promotes loss of Cavl and gain of MCT4 in adjacent fibroblasts and increase lactate *** results were validated using the monoculture of each group separately as a *** this system,we show that me tformin inhibits IL-6 and TGFB secretion and re expresses Cavl in both ***,MCT4 and lactate stayed high after treatment with *** conclusion,our work shows that co-culture with breast cancer cells may cause signifcant alterations in the phenotype and secretion of normal ***,however,may change this state and affect fibroblasts'acquired ***,mitochondrial inhibition by metformin after 8 days of treatment,signi ficantly hinders tumor growth in mouse model of breast cancer.

关键词： Caveolin 1 Lactic acid Metformin NIH 3T3 cells Neoplasms

Modelling Anti-Corrosion Coating Performance of Metallic Bipolar Plates for PEM Fuel Cells:A Machine Learning Approach

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Energy and AI 2024年第3期17卷 495-512页

作者： Pramoth Varsan Madhavan samaneh Shahgaldi Xianguo Li Mechanical and Mechatronics Engineering University of WaterlooOntarioCanada Hydrogen Research Institute Universitédu QuébecàTrois-RivièresQuebecCanada

Proton exchange membrane(PEM)fuel cells have significant potential for clean power generation,yet challenges remain in enhancing their performance,durability,and cost-effectiveness,particularly concerning metallic bipolar plates,which are pivotal for lightweight compact fuel cell *** coatings are commonly employed to combat metallic bipolar plate corrosion and enhance water management within *** methods for predicting coating performance in terms of corrosion resistance involve complex physical-electrochemical modelling and extensive experimentation,with significant time and *** this study machine learning techniques are employed to model metallic bipolar plate coating performance,diamond-like-carbon coatings of varying thicknesses deposited on SS316L are considered,and coating performance is evaluated using potentiodynamic polarization and electrochemical impedance *** obtained experimental data is split into two datasets for machine learning modelling:one predicting corrosion current density and another predicting impedance *** learning models,including extreme gradient boosting(XGB)and artificial neural networks(ANN),are developed,and optimized to predict coating performance *** preprocessing and hyperparameter tuning are carried out to enhance model *** show that ANN outperforms XGB in predicting corrosion current density,achieving an R2>0.98,and accurately predicting impedance parameters with an R2>0.99,indicating that the models developed are very promising for accurate prediction of the corrosion performance of coated metallic bipolar plates for PEM fuel cells.

关键词： Fuel cell Metallic bipolar plate Coating performance Machine learning Extreme gradient boosting Artificial neural networks

Immunologic tumor microenvironment modulators for turning cold tumors hot

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Cancer Communications 2024年第5期44卷 521-553页

作者： Gholam-Reza Khosravi samaneh Mostafavi Sanaz Bastan Narges Ebrahimi Roya Safari Gharibvand Nahid Eskandari Department of Medical Immunology School of MedicineIsfahan University of Medical SciencesIsfahanIran Department of Immunology Faculty of Medical SciencesTarbiat Modares UniversityTehranIran Department of Immunology School of MedicineAhvaz Jundishapur University of Medical SciencesAhvazIran

Tumors can be classified into distinct immunophenotypes based on the presence and arrangement of cytotoxic immune cells within the tumor microenvironment(TME).Hot tumors,characterized by heightened immune activity and responsiveness to immune checkpoint inhibitors(ICIs),stand in stark contrast to cold tumors,which lack immune infiltration and remain resistant to *** overcome immune evasion mechanisms employed by tumor cells,novel immunologic modulators have emerged,particularly ICIs targeting cytotoxic T-lymphocyte-associated protein 4(CTLA-4)and programmed cell death protein 1/programmed death-ligand 1(PD-1/PD-L1).These agents disrupt inhibitory signals and reactivate the immune system,transforming cold tumors into hot ones and promoting effective antitumor ***,challenges persist,including primary resistance to immunotherapy,autoimmune side effects,and tumor response *** these challenges requires innovative strategies,deeper mechanistic insights,and a combination of immune interventions to enhance the effectiveness of *** the landscape of cancer medicine,where immune cold tumors represent a formidable hurdle,understanding the TME and harnessing its potential to reprogram the immune response is *** review sheds light on current advancements and future directions in the quest for more effective and safer cancer treatment strategies,offering hope for patients with immune-resistant tumors.

关键词： cold tumor hot tumor immunologic modulator immunotherapy therapeutic strategy tumor microenvironment

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 ***: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 ***: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%),*** tube was used in 9.96%(95%CI:9.94%-9.97%)of *** 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,*** 20.4%of patients suffered from residual *** 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),*** 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 ***: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

Expression level of interferon-stimulated genes PKR,OAS1,MX1,and ISG15 in peripheral blood mononuclear cells of COVID-19 patients:A retrospective study

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Journal of Acute Disease 2024年第3期13卷 111-115页

作者： Elham Jafari Maskouni samaneh Abbasi Elham Mousavi Zahra Najafimemar Ali Mohammad Arabzadeh Mehrdad Farrokhnia Saeedeh Ebrahimi Department of Medical Microbiology(Bacteriology&Virology) Afzalipour Faculty of MedicineKerman University of Medical SciencesKermanIran Abadan University of Medical Sciences AbadanIran Infectious Diseases Research Center Golestan University of Medical SciencesGorganIran Department of Internal Medicine Afzalipour School of MedicineKerman University of Medical SciencesKermanIran

Objective:To explore expression level of interferon-stimulated genes PKR,OAS1,MX1,and ISG15 in peripheral blood mononuclear cells of COVID-19 ***:In this study,changes in the expression of four interferon-stimulated genes(ISGs),including PKR,OAS1,MX1,and ISG15,in peripheral blood mononuclear cells of 45 COVID-19 patients with different severities were evaluated by real-time PCR ***:OAS1,MX1,PKR,and ISG15 were differently expressed in COVID-19 patients with different *** results showed that the expression of OAS1,MX1,PKR,and ISG15 genes was significantly(P=0.001)lower in severe ***:Weak and defective IFN response and subsequent disruption of ISGs may be associated with COVID-19 severity.

关键词： COVID-19 SARS-CoV-2 Interferon ISGs Severe COVID-19 Risk factors Interferon signaling