Peat soil presents significant challenges in construction due to its low bearing capacity and high compression. Several soil improvement methods are available to address these issues. One viable approach to enhancing soil quality is through lime and cement stabilization. This research aims to investigate the impact of a lime and cement mixture on the physical and mechanical properties of the soil at the research location. The research results reveal that the CBR (California Bearing Ratio) value for the original soil is 5.60%. CBR values increased in specific mixture variations, with the CBR value for the original soil + 3% lime + 5% cement mixture reaching 11.56%. This mixture can be employed in the subgrade, meeting the CBR requirement for road construction subgrade, which is 6%. In the case of the mixture involving the original soil + 10% lime + 10% cement, a CBR value of 26.50% was achieved. The CBR value for subgrade with outstanding criteria for road construction is 20% to 30%. The addition of a lime and cement mixture for peat soil stabilization can significantly enhance the soil's bearing capacity, and increasing the percentage of lime and cement in the mixture leads to higher CBR values.
{"title":"Optimization of a mixture of lime and portland composite cement (PCC) for stabilizing peat soil in road construction","authors":"","doi":"10.59018/1223315","DOIUrl":"https://doi.org/10.59018/1223315","url":null,"abstract":"Peat soil presents significant challenges in construction due to its low bearing capacity and high compression. Several soil improvement methods are available to address these issues. One viable approach to enhancing soil quality is through lime and cement stabilization. This research aims to investigate the impact of a lime and cement mixture on the physical and mechanical properties of the soil at the research location. The research results reveal that the CBR (California Bearing Ratio) value for the original soil is 5.60%. CBR values increased in specific mixture variations, with the CBR value for the original soil + 3% lime + 5% cement mixture reaching 11.56%. This mixture can be employed in the subgrade, meeting the CBR requirement for road construction subgrade, which is 6%. In the case of the mixture involving the original soil + 10% lime + 10% cement, a CBR value of 26.50% was achieved. The CBR value for subgrade with outstanding criteria for road construction is 20% to 30%. The addition of a lime and cement mixture for peat soil stabilization can significantly enhance the soil's bearing capacity, and increasing the percentage of lime and cement in the mixture leads to higher CBR values.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139846724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hydraulic machine is one of the most widespread technical systems in various areas of production. The paper examines the problem of the efficiency of vane hydraulic machines and ways to address it through the biomimetic approach. The study reviews previous research into the peculiarities of the construction of living organisms that provide a reduction of their energy costs. The hydrodynamic effect of the sharkskin structure is created by the roughnesses (micro ribs) oriented along the flow and allows reducing the value of hydraulic drag in the near-wall area. Hypotheses are proposed about the possibilities of applying these features and approaches in technical systems, particularly for flow part elements of hydraulic machines. The authors set the goal to assess the efficiency of using an imitation of sharkskin in a simplified form of scales, and geometric outgrowths, which will provide the necessary hydrodynamic effect. The development includes 3D modeling and subsequent computational verification on the surfaces of flow part elements of hydraulic machines. The findings enable conclusions on the effect of scale placement on the plate on energy losses as the plate is streamlined by fluid. A conclusion is drawn on the current state of the use of nature-inspired technology in hydromechanical engineering and the development trends in this field.
{"title":"Effects of nature-inspired methods on the efficiency of the flow part elements of hydraulic machines","authors":"","doi":"10.59018/1223312","DOIUrl":"https://doi.org/10.59018/1223312","url":null,"abstract":"Hydraulic machine is one of the most widespread technical systems in various areas of production. The paper examines the problem of the efficiency of vane hydraulic machines and ways to address it through the biomimetic approach. The study reviews previous research into the peculiarities of the construction of living organisms that provide a reduction of their energy costs. The hydrodynamic effect of the sharkskin structure is created by the roughnesses (micro ribs) oriented along the flow and allows reducing the value of hydraulic drag in the near-wall area. Hypotheses are proposed about the possibilities of applying these features and approaches in technical systems, particularly for flow part elements of hydraulic machines. The authors set the goal to assess the efficiency of using an imitation of sharkskin in a simplified form of scales, and geometric outgrowths, which will provide the necessary hydrodynamic effect. The development includes 3D modeling and subsequent computational verification on the surfaces of flow part elements of hydraulic machines. The findings enable conclusions on the effect of scale placement on the plate on energy losses as the plate is streamlined by fluid. A conclusion is drawn on the current state of the use of nature-inspired technology in hydromechanical engineering and the development trends in this field.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139847204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The main role of drilling optimization is a decrease in the drilling cost and non-productive time (NPT) for drilling operations. The penetration rate directly influences the overall cost and cost per foot of drilling operation. Thus, the penetration rate prediction and optimization for drilling wells is one of the most crucial parameters to enhance drilling efficiency. Normally, physics-based ROP modeling is widely used to predict bit response or investigate ROP by using nearby offset data. Due to the complexity and nonlinear of ROP, and the confidence level of ROP models with low R squares, data-driven modeling such as machine learning (ML) has become a more attractive study. This paper has been developed on ROP models using artificial neural network (ANN) and compares the results of physics-based ROP models such as the Maurer model, Bingham model, Warren model for perfect cleaning model, Warren model for imperfect cleaning model, and multiple regression based on the significant level of correlation coefficients of R square from models. Drilling Oligocene formations on 8-1/2’’ hole sections have been collected from six drilled wells in the continental shelf of offshore Vietnam. The ROP prediction results were obtained from the ANN model compared with physics-based models. This comparison has shown that the predictive ROP of the power ANN model with an R square confidence level is higher than that of physics-based models.
钻井优化的主要作用是降低钻井作业的成本和非生产时间（NPT）。穿透率直接影响钻井作业的总成本和每英尺成本。因此，钻井的穿透率预测和优化是提高钻井效率的最关键参数之一。通常，基于物理的 ROP 建模被广泛用于预测钻头响应或利用附近偏移数据研究 ROP。由于 ROP 的复杂性和非线性，以及 R 平方较低的 ROP 模型置信度，以机器学习（ML）为代表的数据驱动建模已成为一项更具吸引力的研究。本文利用人工神经网络（ANN）开发了 ROP 模型，并根据模型 R 平方的相关系数的显著水平，比较了基于物理的 ROP 模型，如 Maurer 模型、Bingham 模型、完全清洁模型 Warren 模型、不完全清洁模型 Warren 模型和多元回归模型的结果。从越南近海大陆架的六口钻井中收集了 8-1/2''孔段上的渐新世地层钻井数据。ANN 模型与物理模型的 ROP 预测结果进行了比较。比较结果表明，在 R 平方置信水平下，功率 ANN 模型的 ROP 预测结果高于基于物理模型的预测结果。
{"title":"Penetration rate prediction for drilling wells in the Oligocene formation","authors":"","doi":"10.59018/1223314","DOIUrl":"https://doi.org/10.59018/1223314","url":null,"abstract":"The main role of drilling optimization is a decrease in the drilling cost and non-productive time (NPT) for drilling operations. The penetration rate directly influences the overall cost and cost per foot of drilling operation. Thus, the penetration rate prediction and optimization for drilling wells is one of the most crucial parameters to enhance drilling efficiency. Normally, physics-based ROP modeling is widely used to predict bit response or investigate ROP by using nearby offset data. Due to the complexity and nonlinear of ROP, and the confidence level of ROP models with low R squares, data-driven modeling such as machine learning (ML) has become a more attractive study. This paper has been developed on ROP models using artificial neural network (ANN) and compares the results of physics-based ROP models such as the Maurer model, Bingham model, Warren model for perfect cleaning model, Warren model for imperfect cleaning model, and multiple regression based on the significant level of correlation coefficients of R square from models. Drilling Oligocene formations on 8-1/2’’ hole sections have been collected from six drilled wells in the continental shelf of offshore Vietnam. The ROP prediction results were obtained from the ANN model compared with physics-based models. This comparison has shown that the predictive ROP of the power ANN model with an R square confidence level is higher than that of physics-based models.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139787456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to analyze the simulation of welded current variations (100, 120, 140, and 160) Amperes at the combined combination of longitudinal, transverse, and combination (longitudinal-transverse) welds combined with the position of 4 square model bolts against an increase in plate tensile strength. The tensile testing process of welded and bolted combination joint specimens results in a ratio of tensile strength, loading, and elongation when the condition is proportional until the test specimen breaks. The results of tensile testing show that the simulation of variations in weld current given to the joint affects changes in loading, elongation, and tensile strength ratio. The position of the weld current of 140 Amperes at the combined welded direction (longitudinal-transverse) joint of the combination of 4 bolts of the square model has a maximum tensile strength of 347.222 MPa and a maximum strain of 58.758 % within 25.176 seconds. Results the combination join model is the best combination join of tensile test results. This research is expected to provide new insights into the use of current types and welding directions in welded and bolted combination connection systems in industries engaged in connection construction.
{"title":"Simulation of strong variations of welding current against increased tensile strength of bolt and weld joints","authors":"","doi":"10.59018/1223307","DOIUrl":"https://doi.org/10.59018/1223307","url":null,"abstract":"This study aims to analyze the simulation of welded current variations (100, 120, 140, and 160) Amperes at the combined combination of longitudinal, transverse, and combination (longitudinal-transverse) welds combined with the position of 4 square model bolts against an increase in plate tensile strength. The tensile testing process of welded and bolted combination joint specimens results in a ratio of tensile strength, loading, and elongation when the condition is proportional until the test specimen breaks. The results of tensile testing show that the simulation of variations in weld current given to the joint affects changes in loading, elongation, and tensile strength ratio. The position of the weld current of 140 Amperes at the combined welded direction (longitudinal-transverse) joint of the combination of 4 bolts of the square model has a maximum tensile strength of 347.222 MPa and a maximum strain of 58.758 % within 25.176 seconds. Results the combination join model is the best combination join of tensile test results. This research is expected to provide new insights into the use of current types and welding directions in welded and bolted combination connection systems in industries engaged in connection construction.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139846935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The main role of drilling optimization is a decrease in the drilling cost and non-productive time (NPT) for drilling operations. The penetration rate directly influences the overall cost and cost per foot of drilling operation. Thus, the penetration rate prediction and optimization for drilling wells is one of the most crucial parameters to enhance drilling efficiency. Normally, physics-based ROP modeling is widely used to predict bit response or investigate ROP by using nearby offset data. Due to the complexity and nonlinear of ROP, and the confidence level of ROP models with low R squares, data-driven modeling such as machine learning (ML) has become a more attractive study. This paper has been developed on ROP models using artificial neural network (ANN) and compares the results of physics-based ROP models such as the Maurer model, Bingham model, Warren model for perfect cleaning model, Warren model for imperfect cleaning model, and multiple regression based on the significant level of correlation coefficients of R square from models. Drilling Oligocene formations on 8-1/2’’ hole sections have been collected from six drilled wells in the continental shelf of offshore Vietnam. The ROP prediction results were obtained from the ANN model compared with physics-based models. This comparison has shown that the predictive ROP of the power ANN model with an R square confidence level is higher than that of physics-based models.
钻井优化的主要作用是降低钻井作业的成本和非生产时间（NPT）。穿透率直接影响钻井作业的总成本和每英尺成本。因此，钻井的穿透率预测和优化是提高钻井效率的最关键参数之一。通常，基于物理的 ROP 建模被广泛用于预测钻头响应或利用附近偏移数据研究 ROP。由于 ROP 的复杂性和非线性，以及 R 平方较低的 ROP 模型置信度，以机器学习（ML）为代表的数据驱动建模已成为一项更具吸引力的研究。本文利用人工神经网络（ANN）开发了 ROP 模型，并根据模型 R 平方的相关系数的显著水平，比较了基于物理的 ROP 模型，如 Maurer 模型、Bingham 模型、完全清洁模型 Warren 模型、不完全清洁模型 Warren 模型和多元回归模型的结果。从越南近海大陆架的六口钻井中收集了 8-1/2''孔段上的渐新世地层钻井数据。ANN 模型与物理模型的 ROP 预测结果进行了比较。比较结果表明，在 R 平方置信水平下，功率 ANN 模型的 ROP 预测结果高于基于物理模型的预测结果。
{"title":"Penetration rate prediction for drilling wells in the Oligocene formation","authors":"","doi":"10.59018/1223314","DOIUrl":"https://doi.org/10.59018/1223314","url":null,"abstract":"The main role of drilling optimization is a decrease in the drilling cost and non-productive time (NPT) for drilling operations. The penetration rate directly influences the overall cost and cost per foot of drilling operation. Thus, the penetration rate prediction and optimization for drilling wells is one of the most crucial parameters to enhance drilling efficiency. Normally, physics-based ROP modeling is widely used to predict bit response or investigate ROP by using nearby offset data. Due to the complexity and nonlinear of ROP, and the confidence level of ROP models with low R squares, data-driven modeling such as machine learning (ML) has become a more attractive study. This paper has been developed on ROP models using artificial neural network (ANN) and compares the results of physics-based ROP models such as the Maurer model, Bingham model, Warren model for perfect cleaning model, Warren model for imperfect cleaning model, and multiple regression based on the significant level of correlation coefficients of R square from models. Drilling Oligocene formations on 8-1/2’’ hole sections have been collected from six drilled wells in the continental shelf of offshore Vietnam. The ROP prediction results were obtained from the ANN model compared with physics-based models. This comparison has shown that the predictive ROP of the power ANN model with an R square confidence level is higher than that of physics-based models.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139847247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The 210 MW HP, IP, and LP Turbine Rotor are mounted in the log bearings that are lubricated to prevent friction. You should not have direct contact with each other with the rotor shaft and bearings. Direct contact is avoided by developing an oil film layer between the shaft and the bearing [1]. To allow the oil film to be formed, the lube oil header pressure should be maintained at 2.8 ksc. The separate lube oil scheme provides the bearings with continuous lubrication. The header pressure monitoring, main oil tank level, redundancy scheme, and the lube oil coolers for lube oil pumps [3] are concerned with the relevant monitoring and control of the lube oil system. The current monitoring and controlling device is relay logic and each function is run separately. This research work has included level monitoring of MOT, pressure monitoring of lube oil coolers, and redundancy devices using the PIC Microcontroller for lube oil pumps in a single system.
{"title":"Effective oversight and management of steam turbine lubrication system using smart sensors","authors":"","doi":"10.59018/1223311","DOIUrl":"https://doi.org/10.59018/1223311","url":null,"abstract":"The 210 MW HP, IP, and LP Turbine Rotor are mounted in the log bearings that are lubricated to prevent friction. You should not have direct contact with each other with the rotor shaft and bearings. Direct contact is avoided by developing an oil film layer between the shaft and the bearing [1]. To allow the oil film to be formed, the lube oil header pressure should be maintained at 2.8 ksc. The separate lube oil scheme provides the bearings with continuous lubrication. The header pressure monitoring, main oil tank level, redundancy scheme, and the lube oil coolers for lube oil pumps [3] are concerned with the relevant monitoring and control of the lube oil system. The current monitoring and controlling device is relay logic and each function is run separately. This research work has included level monitoring of MOT, pressure monitoring of lube oil coolers, and redundancy devices using the PIC Microcontroller for lube oil pumps in a single system.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139786464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to analyze the simulation of welded current variations (100, 120, 140, and 160) Amperes at the combined combination of longitudinal, transverse, and combination (longitudinal-transverse) welds combined with the position of 4 square model bolts against an increase in plate tensile strength. The tensile testing process of welded and bolted combination joint specimens results in a ratio of tensile strength, loading, and elongation when the condition is proportional until the test specimen breaks. The results of tensile testing show that the simulation of variations in weld current given to the joint affects changes in loading, elongation, and tensile strength ratio. The position of the weld current of 140 Amperes at the combined welded direction (longitudinal-transverse) joint of the combination of 4 bolts of the square model has a maximum tensile strength of 347.222 MPa and a maximum strain of 58.758 % within 25.176 seconds. Results the combination join model is the best combination join of tensile test results. This research is expected to provide new insights into the use of current types and welding directions in welded and bolted combination connection systems in industries engaged in connection construction.
{"title":"Simulation of strong variations of welding current against increased tensile strength of bolt and weld joints","authors":"","doi":"10.59018/1223307","DOIUrl":"https://doi.org/10.59018/1223307","url":null,"abstract":"This study aims to analyze the simulation of welded current variations (100, 120, 140, and 160) Amperes at the combined combination of longitudinal, transverse, and combination (longitudinal-transverse) welds combined with the position of 4 square model bolts against an increase in plate tensile strength. The tensile testing process of welded and bolted combination joint specimens results in a ratio of tensile strength, loading, and elongation when the condition is proportional until the test specimen breaks. The results of tensile testing show that the simulation of variations in weld current given to the joint affects changes in loading, elongation, and tensile strength ratio. The position of the weld current of 140 Amperes at the combined welded direction (longitudinal-transverse) joint of the combination of 4 bolts of the square model has a maximum tensile strength of 347.222 MPa and a maximum strain of 58.758 % within 25.176 seconds. Results the combination join model is the best combination join of tensile test results. This research is expected to provide new insights into the use of current types and welding directions in welded and bolted combination connection systems in industries engaged in connection construction.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139787051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shear stress has a significant impact on human umbilical vein endothelial cells (HUVECs). Endothelial cells line the inner surface of blood vessels, and they play a crucial role in regulating vascular function and maintaining blood vessel integrity. Shear stress is the force exerted by flowing blood on the endothelial cells, and it is an essential biomechanical factor that influences endothelial cell behavior. Understanding the effects of shear stress on HUVECs is essential for studying vascular physiology, identifying potential therapeutic targets for cardiovascular diseases, and designing better vascular implants and devices. The present study provides compelling evidence of the significant impact of shear stress on the maintenance of endothelial cell (EC) phenotype. By investigating the effects of shear stress on human umbilical vein endothelial cells (HUVECs), we have unveiled its role in regulating the expression of pro-thrombotic and anti-thrombotic genes. Our findings demonstrate that shear stress influences key molecular players, such as eNOS (endothelial nitric oxide synthase) and vWF (von Willebrand factor), which are critical for vascular homeostasis and thrombotic balance.
{"title":"Effect of shear stress on human umbilical vein endothelial cells: A study using bioreactor","authors":"","doi":"10.59018/1223313","DOIUrl":"https://doi.org/10.59018/1223313","url":null,"abstract":"Shear stress has a significant impact on human umbilical vein endothelial cells (HUVECs). Endothelial cells line the inner surface of blood vessels, and they play a crucial role in regulating vascular function and maintaining blood vessel integrity. Shear stress is the force exerted by flowing blood on the endothelial cells, and it is an essential biomechanical factor that influences endothelial cell behavior. Understanding the effects of shear stress on HUVECs is essential for studying vascular physiology, identifying potential therapeutic targets for cardiovascular diseases, and designing better vascular implants and devices. The present study provides compelling evidence of the significant impact of shear stress on the maintenance of endothelial cell (EC) phenotype. By investigating the effects of shear stress on human umbilical vein endothelial cells (HUVECs), we have unveiled its role in regulating the expression of pro-thrombotic and anti-thrombotic genes. Our findings demonstrate that shear stress influences key molecular players, such as eNOS (endothelial nitric oxide synthase) and vWF (von Willebrand factor), which are critical for vascular homeostasis and thrombotic balance.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139847305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shear stress has a significant impact on human umbilical vein endothelial cells (HUVECs). Endothelial cells line the inner surface of blood vessels, and they play a crucial role in regulating vascular function and maintaining blood vessel integrity. Shear stress is the force exerted by flowing blood on the endothelial cells, and it is an essential biomechanical factor that influences endothelial cell behavior. Understanding the effects of shear stress on HUVECs is essential for studying vascular physiology, identifying potential therapeutic targets for cardiovascular diseases, and designing better vascular implants and devices. The present study provides compelling evidence of the significant impact of shear stress on the maintenance of endothelial cell (EC) phenotype. By investigating the effects of shear stress on human umbilical vein endothelial cells (HUVECs), we have unveiled its role in regulating the expression of pro-thrombotic and anti-thrombotic genes. Our findings demonstrate that shear stress influences key molecular players, such as eNOS (endothelial nitric oxide synthase) and vWF (von Willebrand factor), which are critical for vascular homeostasis and thrombotic balance.
{"title":"Effect of shear stress on human umbilical vein endothelial cells: A study using bioreactor","authors":"","doi":"10.59018/1223313","DOIUrl":"https://doi.org/10.59018/1223313","url":null,"abstract":"Shear stress has a significant impact on human umbilical vein endothelial cells (HUVECs). Endothelial cells line the inner surface of blood vessels, and they play a crucial role in regulating vascular function and maintaining blood vessel integrity. Shear stress is the force exerted by flowing blood on the endothelial cells, and it is an essential biomechanical factor that influences endothelial cell behavior. Understanding the effects of shear stress on HUVECs is essential for studying vascular physiology, identifying potential therapeutic targets for cardiovascular diseases, and designing better vascular implants and devices. The present study provides compelling evidence of the significant impact of shear stress on the maintenance of endothelial cell (EC) phenotype. By investigating the effects of shear stress on human umbilical vein endothelial cells (HUVECs), we have unveiled its role in regulating the expression of pro-thrombotic and anti-thrombotic genes. Our findings demonstrate that shear stress influences key molecular players, such as eNOS (endothelial nitric oxide synthase) and vWF (von Willebrand factor), which are critical for vascular homeostasis and thrombotic balance.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139787431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Protecting digital speech files is an important issue. In this paper's research, a simplified method of speech file cryptography will be provided, and the encryption and decryption functions will require a reduced number of operations. The encryption function will perform a put_operation to reorder the speech sample to get the encrypted file, while the decryption function will perform a get_operation to reorder the encrypted samples to get the decrypted speech file; these operations will be implemented based on the generated secret indices key. The Put and get operations will affect the speech file by recording the samples keeping the histograms of the speech files (source, encrypted, and decrypted) the same and without any changes. The secret key generation phase will be analyzed for efficiency purposes, and two methods will be presented: The first one will use the chaotic logistic map model to generate the secret indices key, while the second method will use a selected secret image to generate the secret indices key, both methods will be tested and examined to give some recommendations for the users. Each of the introduced methods will provide a high level of security, the private keys will provide a huge key space and they will be very sensitive to resist any hacking attacks. The quality, sensitivity, security, and speed of the proposed methods will be examined, the method will be tested and implemented, and the obtained results will be analyzed to prove the achievements provided by the proposed method.
{"title":"A detailed study of speech signal cryptography using simple Put _operation and Get_operation","authors":"","doi":"10.59018/1223310","DOIUrl":"https://doi.org/10.59018/1223310","url":null,"abstract":"Protecting digital speech files is an important issue. In this paper's research, a simplified method of speech file cryptography will be provided, and the encryption and decryption functions will require a reduced number of operations. The encryption function will perform a put_operation to reorder the speech sample to get the encrypted file, while the decryption function will perform a get_operation to reorder the encrypted samples to get the decrypted speech file; these operations will be implemented based on the generated secret indices key. The Put and get operations will affect the speech file by recording the samples keeping the histograms of the speech files (source, encrypted, and decrypted) the same and without any changes. The secret key generation phase will be analyzed for efficiency purposes, and two methods will be presented: The first one will use the chaotic logistic map model to generate the secret indices key, while the second method will use a selected secret image to generate the secret indices key, both methods will be tested and examined to give some recommendations for the users. Each of the introduced methods will provide a high level of security, the private keys will provide a huge key space and they will be very sensitive to resist any hacking attacks. The quality, sensitivity, security, and speed of the proposed methods will be examined, the method will be tested and implemented, and the obtained results will be analyzed to prove the achievements provided by the proposed method.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139845883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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