Abstract: Disclosed is a method for classifying mixed signals, comprising: receiving mixed signals; performing calculation on a matrix corresponding to the mixed signals by means of a preset Principal Component Analysis method to obtain to-be-classified mixed signals and to determine the number of types of signals contained in the to-be-classified mixed signals; determining a separation matrix based on the number of types of signals contained in the to-be-classified mixed signals; separating individual signals in the to-be-classified mixed signals by means of the separation matrix to obtain to-be-identified signals; calculating a preset number of high-order cumulants corresponding to each to-be-identified signal in the to-be-identified signals respectively; taking the calculated high-order cumulants as characteristics of the to-be-identified signal corresponding to the high-order cumulants respectively; inputting the characteristics of the to-be-identified signal into a preset classification model; and obtaining a modu

Abstract: Anti-heparanase compounds for the treatment of diabetes are described. The anti-heparanase compounds are high affinity, synthetic glycopolymers that result in minimal anticoagulant activity. Stereoselective fluorinated forms of these compounds are also provided.

Abstract: Anti-heparanase compounds for the treatment of diabetes are described. The anti-heparanase compounds are high affinity, synthetic glycopolymers that result in minimal anticoagulant activity. Stereoselective fluorinated forms of these compounds are also provided.

Abstract: Disclosed is a method for classifying mixed signals, comprising: receiving mixed signals; performing calculation on a matrix corresponding to the mixed signals by means of a preset Principal Component Analysis method to obtain to-be-classified mixed signals and to determine the number of types of signals contained in the to-be-classified mixed signals; determining a separation matrix based on the number of types of signals contained in the to-be-classified mixed signals; separating individual signals in the to-be-classified mixed signals by means of the separation matrix to obtain to-be-identified signals; calculating a preset number of high-order cumulants corresponding to each to-be-identified signal in the to-be-identified signals respectively; taking the calculated high-order cumulants as characteristics of the to-be-identified signal corresponding to the high-order cumulants respectively; inputting the characteristics of the to-be-identified signal into a preset classification model; and obtaining a modu

Abstract: Clustering-based methods, apparatuses for frequency offset determination and elimination and electronic devices are disclosed. The clustering-based method for frequency offset determination includes: determining a constellation diagram for a received signal; determining N different values within a preset frequency interval, as N frequency offset estimates for a frequency offset of the received signal; for each of the frequency offset estimates, correcting the constellation diagram based on the frequency offset estimate to obtain a corrected constellation diagram, clustering signal points on the corrected constellation diagram, and calculating an area of a signal region in the corrected constellation diagram after clustering; and determining a frequency offset estimate corresponding to a signal region with a minimum area as a value of the frequency offset. The embodiments of the present invention can improve the accuracy and stability of the calculated value of the frequency offset.

Abstract: Anti-heparanase compounds for the treatment of diabetes are described. The anti-heparanase compounds are high affinity, synthetic glycopolymers that result in minimal anticoagulant activity. Stereoselective fluorinated forms of these compounds are also provided.

Abstract: Clustering-based methods, apparatuses for frequency offset determination and elimination and electronic devices are disclosed. The clustering-based method for frequency offset determination includes: determining a constellation diagram for a received signal; determining N different values within a preset frequency interval, as N frequency offset estimates for a frequency offset of the received signal; for each of the frequency offset estimates, correcting the constellation diagram based on the frequency offset estimate to obtain a corrected constellation diagram, clustering signal points on the corrected constellation diagram, and calculating an area of a signal region in the corrected constellation diagram after clustering; and determining a frequency offset estimate corresponding to a signal region with a minimum area as a value of the frequency offset. The embodiments of the present invention can improve the accuracy and stability of the calculated value of the frequency offset.

Abstract: Compositions and methods to promote wound healing are described. The compositions and methods up-regulate X-box binding protein 1 (XBP1) and/or inositol-requiring enzyme-1 (IRE-1). In various embodiments, the compositions and methods can be used to promote wound healing in diabetic subjects.

Abstract: Compositions and methods to promote wound healing are described. The compositions and methods up-regulate X-box binding protein 1 (XBP1) and/or inositol-requiring enzyme-1 (IRE-1). In various embodiments, the compositions and methods can be used to promote wound healing in diabetic subjects.

Abstract: Methods and compositions are provided for modulating the acute phase response. In particular, methods and compositions are provided that inhibit the acute phase response, including expression or production of C-reactive protein (CRP). The invention accordingly has applicability to the modulation of innate immune responses and to cardiovascular diseases and disorders, particularly atherosclerosis. The instant methods and compositions are based on the discovery that the mammalian transcription factor CREBH is necessary for the induction of an acute phase response and/or an innate immune response.