Monogenic diabetes is caused by one or even more genetic variations, which maybe uncommon yet have a significant influence and cause diabetes at an early age.Monogenic diabetes affects 1 to 5% of children, and early d...Monogenic diabetes is caused by one or even more genetic variations, which maybe uncommon yet have a significant influence and cause diabetes at an early age.Monogenic diabetes affects 1 to 5% of children, and early detection and geneticallyfocused treatment of neonatal diabetes and maturity-onset diabetes of theyoung can significantly improve long-term health and well-being. The etiology ofmonogenic diabetes in childhood is primarily attributed to genetic variationsaffecting the regulatory genes responsible for beta-cell activity. In rare instances,mutations leading to severe insulin resistance can also result in the developmentof diabetes. Individuals diagnosed with specific types of monogenic diabetes,which are commonly found, can transition from insulin therapy to sulfonylureas,provided they maintain consistent regulation of their blood glucose levels.Scientists have successfully devised materials and methodologies to distinguishindividuals with type 1 or 2 diabetes from those more prone to monogenicdiabetes. Genetic screening with appropriate findings and interpretations isessential to establish a prognosis and to guide the choice of therapies andmanagement of these interrelated ailments. This review aims to design a comprehensiveliterature summarizing genetic insights into monogenetic diabetes inchildren and adolescents as well as summarizing their diagnosis and management.展开更多
Monogenic diabetes is caused by one or even more genetic variations,which may be uncommon yet have a significant influence and cause diabetes at an early age.Monogenic diabetes affects 1%to 5%of children,and early det...Monogenic diabetes is caused by one or even more genetic variations,which may be uncommon yet have a significant influence and cause diabetes at an early age.Monogenic diabetes affects 1%to 5%of children,and early detection and genetically focused treatment of neonatal diabetes and maturity-onset diabetes of the young can significantly improve long-term health and well-being.The etiology of monogenic diabetes in childhood is primarily attributed to genetic variations affecting the regulatory genes responsible for beta-cell activity.In rare instances,mutations leading to severe insulin resistance can also result in the development of diabetes.Individuals diagnosed with specific types of monogenic diabetes,which are commonly found,can transition from insulin therapy to sulfonylureas,provided they maintain consistent regulation of their blood glucose levels.Scientists have successfully devised materials and methodologies to distinguish individuals with type 1 or 2 diabetes from those more prone to monogenic diabetes.Genetic screening with appropriate findings and interpretations is essential to establish a prognosis and to guide the choice of therapies and management of these interrelated ailments.This review aims to design a comprehensive literature summarizing genetic insights into monogenetic diabetes in children and adolescents as well as summarizing their diagnosis and management.展开更多
Appealing to the Clifford analysis and matching pursuits, we study the adaptive decompositions of functions of several variables of finite energy under the dictionaries consisting of shifted Cauchy kernels. This is a ...Appealing to the Clifford analysis and matching pursuits, we study the adaptive decompositions of functions of several variables of finite energy under the dictionaries consisting of shifted Cauchy kernels. This is a realization of matching pursuits among shifted Cauchy kernels in higher-dimensional spaces. It offers a method to process signals in arbitrary dimensions.展开更多
In the present paper,by extending some fractional calculus to the framework of Clifford analysis,new classes of wavelet functions are presented.Firstly,some classes of monogenic polynomials are provided based on 2-par...In the present paper,by extending some fractional calculus to the framework of Clifford analysis,new classes of wavelet functions are presented.Firstly,some classes of monogenic polynomials are provided based on 2-parameters weight functions which extend the classical Jacobi ones in the context of Clifford analysis.The discovered polynomial sets are next applied to introduce new wavelet functions.Reconstruction formula as well as Fourier-Plancherel rules have been proved.The main tool reposes on the extension of fractional derivatives,fractional integrals and fractional Fourier transforms to Clifford analysis.展开更多
文摘Monogenic diabetes is caused by one or even more genetic variations, which maybe uncommon yet have a significant influence and cause diabetes at an early age.Monogenic diabetes affects 1 to 5% of children, and early detection and geneticallyfocused treatment of neonatal diabetes and maturity-onset diabetes of theyoung can significantly improve long-term health and well-being. The etiology ofmonogenic diabetes in childhood is primarily attributed to genetic variationsaffecting the regulatory genes responsible for beta-cell activity. In rare instances,mutations leading to severe insulin resistance can also result in the developmentof diabetes. Individuals diagnosed with specific types of monogenic diabetes,which are commonly found, can transition from insulin therapy to sulfonylureas,provided they maintain consistent regulation of their blood glucose levels.Scientists have successfully devised materials and methodologies to distinguishindividuals with type 1 or 2 diabetes from those more prone to monogenicdiabetes. Genetic screening with appropriate findings and interpretations isessential to establish a prognosis and to guide the choice of therapies andmanagement of these interrelated ailments. This review aims to design a comprehensiveliterature summarizing genetic insights into monogenetic diabetes inchildren and adolescents as well as summarizing their diagnosis and management.
文摘Monogenic diabetes is caused by one or even more genetic variations,which may be uncommon yet have a significant influence and cause diabetes at an early age.Monogenic diabetes affects 1%to 5%of children,and early detection and genetically focused treatment of neonatal diabetes and maturity-onset diabetes of the young can significantly improve long-term health and well-being.The etiology of monogenic diabetes in childhood is primarily attributed to genetic variations affecting the regulatory genes responsible for beta-cell activity.In rare instances,mutations leading to severe insulin resistance can also result in the development of diabetes.Individuals diagnosed with specific types of monogenic diabetes,which are commonly found,can transition from insulin therapy to sulfonylureas,provided they maintain consistent regulation of their blood glucose levels.Scientists have successfully devised materials and methodologies to distinguish individuals with type 1 or 2 diabetes from those more prone to monogenic diabetes.Genetic screening with appropriate findings and interpretations is essential to establish a prognosis and to guide the choice of therapies and management of these interrelated ailments.This review aims to design a comprehensive literature summarizing genetic insights into monogenetic diabetes in children and adolescents as well as summarizing their diagnosis and management.
基金supported by Macao FDCT(098/2012/A3)Research Grant of the University of Macao(UL017/08-Y4/MAT/QT01/FST)+1 种基金National Natural Science Funds for Young Scholars(10901166)Sun Yat-sen University Operating Costs of Basic ResearchProjects to Cultivate Young Teachers(11lgpy99)
文摘Appealing to the Clifford analysis and matching pursuits, we study the adaptive decompositions of functions of several variables of finite energy under the dictionaries consisting of shifted Cauchy kernels. This is a realization of matching pursuits among shifted Cauchy kernels in higher-dimensional spaces. It offers a method to process signals in arbitrary dimensions.
文摘In the present paper,by extending some fractional calculus to the framework of Clifford analysis,new classes of wavelet functions are presented.Firstly,some classes of monogenic polynomials are provided based on 2-parameters weight functions which extend the classical Jacobi ones in the context of Clifford analysis.The discovered polynomial sets are next applied to introduce new wavelet functions.Reconstruction formula as well as Fourier-Plancherel rules have been proved.The main tool reposes on the extension of fractional derivatives,fractional integrals and fractional Fourier transforms to Clifford analysis.
