Background: The organs in the body function in coherent organ networks. These organ networks are commonly known as physiological systems. Blood Glucose, Blood Pressure and pH exhibit the characteristics of neurally re...Background: The organs in the body function in coherent organ networks. These organ networks are commonly known as physiological systems. Blood Glucose, Blood Pressure and pH exhibit the characteristics of neurally regulated Physiological Systems. Any medical condition, such as diabetes, has origins which are due to systemic dysfunction. This influences the genetic expression of proteins and the rate at which such expressed proteins subsequently react. Increased levels of acidity influence the levels of available minerals, protein conformation, and hence the rate at which expressed proteins such as insulin and leptin react or function. This is particularly significant in diabetes etiology where a deficiency of insulin and insulin-“resistance” are significant features of type 1 and type 2 diabetes. Proteins such as Insulin absorb and emit light. Moreover, the spectrum and intensity of the bioluminescence emitted from glycated proteins (which are more significantly bioluminescent) influence colour perception. Accordingly, changes to the diabetic’s colour perception can be used as the basis of a cognitive screening technique which is able to quantify the influence of genotype and phenotype. This may have significant advantages over current biomarker techniques which are not able to satisfactorily determine the earliest onset of?diabetes or distinguish between the symptomatic and presymptomatic onset of diabetes. Such methodology, based upon the properties of proteins, i.e. effectively, the rate at which proteins are expressed and the rate at which such expressed proteins subsequently react, allows the clinician to quantify genotype and phenotype and may contribute to a greater understanding of the processes responsible for what are commonly known as type 1 and type 2 diabetes. The aim of this article is to highlight the limitations of the current techniques used to diagnose diabetes and to highlight, at least from the theoretical perspective, the significance of the autonomic nervous system and physiological systems;in particular, how changes to colour perception are related to the function and/or stability of the autonomic nervous system;and how such phenomena can be used diagnostically. This article discusses this method—a mathematical model of the autonomic nervous system and physiological systems—which has been incorporated into the prototype technology Virtual Scanning;and in conclusion, illustrates how Diabetes appears to be a problem of acidity and consequently of mineral deficiency. It outlines how genotype and phenotype are both significant factors in the regulation of Blood Glucose, i.e. type 1 diabetes is predominantly genetic and is associated with hypoglycaemia whilst type 2 diabetes is due to environmental or phenotypic cause and is associated with hyperglycaemia. Both can occur simultaneously and hence explain why someone with type 2 diabetes may be prescribed insulin, i.e. in order to quantify the extent of a pathology such as diabetes mellitus and/or any other common pathology, it appears necessary to quantify the influence of genotype (genetic capacity) and phenotype (physiological demand). Accordingly the categorisation of diabetes as type 1 and type 2 may be misleading.展开更多
为探究不同评价指标体系对泥石流易发性评估结果的影响,选取植被覆盖度、地层岩性、地表起伏度、地表粗糙度、沟壑密度、距断层距离和地震峰值加速度共7个评价因子组成对照组指标体系,通过坡体稳定性分析得到潜在失稳面积与小流域面积...为探究不同评价指标体系对泥石流易发性评估结果的影响,选取植被覆盖度、地层岩性、地表起伏度、地表粗糙度、沟壑密度、距断层距离和地震峰值加速度共7个评价因子组成对照组指标体系,通过坡体稳定性分析得到潜在失稳面积与小流域面积比评价指标,构建包括地表起伏度、地表粗糙度、沟壑密度、距断层距离、地震峰值加速度和潜在物源分布面积与小流域面积比的试验组指标体系,采用确定性系数模型,将安宁河流域划分为高、较高、中、较低、低5个泥石流易发性区。对比结果表明:试验组指标体系与对照组指标体系的泥石流易发性高易发区和较高易发区频率比值分别占总频率比值的88.17%和85.88%,表明两种评价指标体系均客观、有效地评价了安宁河流域的泥石流易发性。试验组指标体系的曲线下的面积(area under curve, AUC)达0.767,与对照组指标体系的AUC值相比提升了1.99%,表明泥石流易发性评价指标体系中加入坡体稳定性因子相较于仅考虑孕灾环境因子的泥石流易发性评价结果更好。研究结果为提高泥石流易发性评估结果提供了新思路。展开更多
文摘Background: The organs in the body function in coherent organ networks. These organ networks are commonly known as physiological systems. Blood Glucose, Blood Pressure and pH exhibit the characteristics of neurally regulated Physiological Systems. Any medical condition, such as diabetes, has origins which are due to systemic dysfunction. This influences the genetic expression of proteins and the rate at which such expressed proteins subsequently react. Increased levels of acidity influence the levels of available minerals, protein conformation, and hence the rate at which expressed proteins such as insulin and leptin react or function. This is particularly significant in diabetes etiology where a deficiency of insulin and insulin-“resistance” are significant features of type 1 and type 2 diabetes. Proteins such as Insulin absorb and emit light. Moreover, the spectrum and intensity of the bioluminescence emitted from glycated proteins (which are more significantly bioluminescent) influence colour perception. Accordingly, changes to the diabetic’s colour perception can be used as the basis of a cognitive screening technique which is able to quantify the influence of genotype and phenotype. This may have significant advantages over current biomarker techniques which are not able to satisfactorily determine the earliest onset of?diabetes or distinguish between the symptomatic and presymptomatic onset of diabetes. Such methodology, based upon the properties of proteins, i.e. effectively, the rate at which proteins are expressed and the rate at which such expressed proteins subsequently react, allows the clinician to quantify genotype and phenotype and may contribute to a greater understanding of the processes responsible for what are commonly known as type 1 and type 2 diabetes. The aim of this article is to highlight the limitations of the current techniques used to diagnose diabetes and to highlight, at least from the theoretical perspective, the significance of the autonomic nervous system and physiological systems;in particular, how changes to colour perception are related to the function and/or stability of the autonomic nervous system;and how such phenomena can be used diagnostically. This article discusses this method—a mathematical model of the autonomic nervous system and physiological systems—which has been incorporated into the prototype technology Virtual Scanning;and in conclusion, illustrates how Diabetes appears to be a problem of acidity and consequently of mineral deficiency. It outlines how genotype and phenotype are both significant factors in the regulation of Blood Glucose, i.e. type 1 diabetes is predominantly genetic and is associated with hypoglycaemia whilst type 2 diabetes is due to environmental or phenotypic cause and is associated with hyperglycaemia. Both can occur simultaneously and hence explain why someone with type 2 diabetes may be prescribed insulin, i.e. in order to quantify the extent of a pathology such as diabetes mellitus and/or any other common pathology, it appears necessary to quantify the influence of genotype (genetic capacity) and phenotype (physiological demand). Accordingly the categorisation of diabetes as type 1 and type 2 may be misleading.
文摘为探究不同评价指标体系对泥石流易发性评估结果的影响,选取植被覆盖度、地层岩性、地表起伏度、地表粗糙度、沟壑密度、距断层距离和地震峰值加速度共7个评价因子组成对照组指标体系,通过坡体稳定性分析得到潜在失稳面积与小流域面积比评价指标,构建包括地表起伏度、地表粗糙度、沟壑密度、距断层距离、地震峰值加速度和潜在物源分布面积与小流域面积比的试验组指标体系,采用确定性系数模型,将安宁河流域划分为高、较高、中、较低、低5个泥石流易发性区。对比结果表明:试验组指标体系与对照组指标体系的泥石流易发性高易发区和较高易发区频率比值分别占总频率比值的88.17%和85.88%,表明两种评价指标体系均客观、有效地评价了安宁河流域的泥石流易发性。试验组指标体系的曲线下的面积(area under curve, AUC)达0.767,与对照组指标体系的AUC值相比提升了1.99%,表明泥石流易发性评价指标体系中加入坡体稳定性因子相较于仅考虑孕灾环境因子的泥石流易发性评价结果更好。研究结果为提高泥石流易发性评估结果提供了新思路。
