Rainfall trend analysis has asupreme role for forecasting the rain events,which is very vital for tropics where the fluctuation in occurrence of rainfall is widespread.The local level rainfall trend analysis on the ot...Rainfall trend analysis has asupreme role for forecasting the rain events,which is very vital for tropics where the fluctuation in occurrence of rainfall is widespread.The local level rainfall trend analysis on the other side provides valuable information to cope up with the vehemence of global climate changes.The present study analyses the trend in the rainfall and number of rain days in a tropical town ship,Pattambi,located in the Bharathapuzha River basin of Kerala state of India.We used Man-Kendall rank correlation statistics to see the variations展开更多
Pharmacokinetic models are mathematical models which provide insights into the interaction of chemicals with biological processes. During recent decades, these models have become central of attention in industry that ...Pharmacokinetic models are mathematical models which provide insights into the interaction of chemicals with biological processes. During recent decades, these models have become central of attention in industry that caused to do a lot of efforts to make them more accurate. Current work studies the process of drug and nanoparticle (NPs) distribution throughout the body which consists of a system of ordinary differential equations. We use a tri-compartmental model to study the perfusion of NPs in tissues and a six-compartmental model to study drug distribution in different body organs. We have performed global sensitivity analysis by LHS Monte Carlo method using PRCC. We identify the key parameters that contribute most significantly to the absorption and distribution of drugs and NPs in different organs in body.展开更多
In this paper, we are interested to find the most sensitive parameter, local and global stability of ovarian tumor growth model. For sensitivity analysis, we use Latin Hypercube Sampling (LHS) method to generate sampl...In this paper, we are interested to find the most sensitive parameter, local and global stability of ovarian tumor growth model. For sensitivity analysis, we use Latin Hypercube Sampling (LHS) method to generate sample points and Partial Rank Correlation Coefficient (PRCC) method, uses those sample points to find out which parameters are important for the model. Based on our findings, we suggest some treatment strategies. We investigate the sensitivity of the parameters for tumor volume, <em>y</em>, cell nutrient density, <em>Q</em> and maximum tumor size, <em>ymax</em>. We also use Scatter Plot method using LHS samples to show the consistency of the results obtained by using PRCC. Moreover, we discuss the qualitative analysis of ovarian tumor growth model investigating the local and global stability.展开更多
App store provides rich information for software vendors and customers to understand the market of mobile applications. However, app store analysis don’t consider some vital factors such as version number, app descri...App store provides rich information for software vendors and customers to understand the market of mobile applications. However, app store analysis don’t consider some vital factors such as version number, app description and app name currently. In this paper we propose an approach that App Store Analysis can be used to predict app downloads. We use data mining to extract app name and description and app rank information etc. from the Wandoujia App Store and AppCha App Store. We use questionnaire and sentimentanalysis to quantify some app nonnumeric information. We revealed strong correlations app name score, app rank, app rating with app downloads by Spearman’s rank correlation analysis respectively. Finally, we establish a multiple nonlinear regression model which app downloads defined as dependent variable and three relevant attributes defined as independent variable. On average, 59.28 % of apps in Wandoujia App Store and 66.68 % of apps in AppCha App Store can be predicted accurately within threshold which error rate is 25 %. One can observe the more detailed classification of app store, the more accurate for regression modeling to predict app downloads. Our approach can help app developers to notice and optimize the vital factors which influence app downloads.展开更多
目的 通过回顾性分析咸宁地区男性精子DNA碎片指数(DNA fragmetation index of sperm, DFI)与患者年龄、精液参数的关系,为全面评估男性生育能力提供依据。方法 分析2021年8月—2022年8月在咸宁市中心医院生殖医学中心就诊的503例男性...目的 通过回顾性分析咸宁地区男性精子DNA碎片指数(DNA fragmetation index of sperm, DFI)与患者年龄、精液参数的关系,为全面评估男性生育能力提供依据。方法 分析2021年8月—2022年8月在咸宁市中心医院生殖医学中心就诊的503例男性患者的精液常规及精子DNA碎片率,并将研究对象按DFI水平分为DFI≥25%组、DFI<10%组、10%≤DFI<25%组,分析各组受检者年龄、精液参数的变化;通过Spearman相关分析分析精子DNA碎片率与年龄、精液参数的相关性。结果 年龄越大,DFI指数越高,不动精子占比也越高,而精子总活力和正常精子形态率越低,差异有统计学意义(P<0.05)。进一步通过Spearman秩相关分析发现,精子DFI与患者年龄、不动精子呈正相关(r=0.214,0.359,P<0.001),与精子总活力、正常形态精子率呈负相关(r=-0.365,-0.137,P<0.001)。结论 通过年龄、常规精液检查以及精子DFI来综合评估男性的生育力将会更加全面。展开更多
文摘Rainfall trend analysis has asupreme role for forecasting the rain events,which is very vital for tropics where the fluctuation in occurrence of rainfall is widespread.The local level rainfall trend analysis on the other side provides valuable information to cope up with the vehemence of global climate changes.The present study analyses the trend in the rainfall and number of rain days in a tropical town ship,Pattambi,located in the Bharathapuzha River basin of Kerala state of India.We used Man-Kendall rank correlation statistics to see the variations
文摘Pharmacokinetic models are mathematical models which provide insights into the interaction of chemicals with biological processes. During recent decades, these models have become central of attention in industry that caused to do a lot of efforts to make them more accurate. Current work studies the process of drug and nanoparticle (NPs) distribution throughout the body which consists of a system of ordinary differential equations. We use a tri-compartmental model to study the perfusion of NPs in tissues and a six-compartmental model to study drug distribution in different body organs. We have performed global sensitivity analysis by LHS Monte Carlo method using PRCC. We identify the key parameters that contribute most significantly to the absorption and distribution of drugs and NPs in different organs in body.
文摘In this paper, we are interested to find the most sensitive parameter, local and global stability of ovarian tumor growth model. For sensitivity analysis, we use Latin Hypercube Sampling (LHS) method to generate sample points and Partial Rank Correlation Coefficient (PRCC) method, uses those sample points to find out which parameters are important for the model. Based on our findings, we suggest some treatment strategies. We investigate the sensitivity of the parameters for tumor volume, <em>y</em>, cell nutrient density, <em>Q</em> and maximum tumor size, <em>ymax</em>. We also use Scatter Plot method using LHS samples to show the consistency of the results obtained by using PRCC. Moreover, we discuss the qualitative analysis of ovarian tumor growth model investigating the local and global stability.
文摘App store provides rich information for software vendors and customers to understand the market of mobile applications. However, app store analysis don’t consider some vital factors such as version number, app description and app name currently. In this paper we propose an approach that App Store Analysis can be used to predict app downloads. We use data mining to extract app name and description and app rank information etc. from the Wandoujia App Store and AppCha App Store. We use questionnaire and sentimentanalysis to quantify some app nonnumeric information. We revealed strong correlations app name score, app rank, app rating with app downloads by Spearman’s rank correlation analysis respectively. Finally, we establish a multiple nonlinear regression model which app downloads defined as dependent variable and three relevant attributes defined as independent variable. On average, 59.28 % of apps in Wandoujia App Store and 66.68 % of apps in AppCha App Store can be predicted accurately within threshold which error rate is 25 %. One can observe the more detailed classification of app store, the more accurate for regression modeling to predict app downloads. Our approach can help app developers to notice and optimize the vital factors which influence app downloads.
文摘目的 通过回顾性分析咸宁地区男性精子DNA碎片指数(DNA fragmetation index of sperm, DFI)与患者年龄、精液参数的关系,为全面评估男性生育能力提供依据。方法 分析2021年8月—2022年8月在咸宁市中心医院生殖医学中心就诊的503例男性患者的精液常规及精子DNA碎片率,并将研究对象按DFI水平分为DFI≥25%组、DFI<10%组、10%≤DFI<25%组,分析各组受检者年龄、精液参数的变化;通过Spearman相关分析分析精子DNA碎片率与年龄、精液参数的相关性。结果 年龄越大,DFI指数越高,不动精子占比也越高,而精子总活力和正常精子形态率越低,差异有统计学意义(P<0.05)。进一步通过Spearman秩相关分析发现,精子DFI与患者年龄、不动精子呈正相关(r=0.214,0.359,P<0.001),与精子总活力、正常形态精子率呈负相关(r=-0.365,-0.137,P<0.001)。结论 通过年龄、常规精液检查以及精子DFI来综合评估男性的生育力将会更加全面。
