Minor protopanaxadiol type sapogenins from the alkali hydrolysate of stems-leaves of .

Two new protopanaxadiol type sapogenins, (3,12)-3,12,20-trihydroxydammar-24-en-26-al () and (3,12)-3,12,20-trihydroxydammar-24-en-26-oic acid (), were isolated from the alkali hydrolysate of stems-leaves of , along with seven known analogues (-). Their structures were elucidated by spectroscopic analyses and single-crystal X-ray diffraction. Compound and the known sapogenins - displayed weak to moderate inhibition of NO production in LPS-induced RAW264.

Assessment of aortic to peripheral vascular stiffness and gradient by segmented upper limb PWV in healthy and hypertensive individuals.

Theoretically pulse wave velocity (PWV) is obtained by calculating the distance between two waveform probes divided by the time difference, and PWV ratio is used to assess the arterial stiffness gradient (SG) from proximal to distal. The aim was to investigate segmental upper-limb PWV (ulPWV) differences and the effects of hypertension and or aging on each ulPWV and SG. The study collected multi-waveform signals and conduction distances from 167 healthy individuals and 92 hypertensive patients.

Asp-containing actinomycin and tetracyclic chromophoric analogues from the sp. strain S22.

Three novel actinomycins, actimomycin S (1), neo-actinomycins C and D (2 and 3), and one new benzo[]oxazole alkaloid (4) were isolated from the sp. strain S22, along with three known congeners F (5), X (6) and X (7) and 2-acetylamino-3-hydroxyl-4-methyl-benzoic acid methyl ester (8). The structures of the new products were elucidated by spectroscopic methods, and the absolute configuration of amino acid residues was determined by Marfey's analysis.

Digital tongue image analyses for health assessment.

Traditional Chinese Medicine (TCM), as an effective alternative medicine, utilizes tongue diagnosis as a major method to assess the patient's health status by examining the tongue's color, shape, and texture. Tongue images can also give the pre-disease indications without any significant disease symptoms, which provides a basis for preventive medicine and lifestyle adjustment. However, traditional tongue diagnosis has limitations, as the process may be subjective and inconsistent.

A Study of Machine-Learning Classifiers for Hypertension Based on Radial Pulse Wave.

Objective: In this study, machine learning was utilized to classify and predict pulse wave of hypertensive group and healthy group and assess the risk of hypertension by observing the dynamic change of the pulse wave and provide an objective reference for clinical application of pulse diagnosis in traditional Chinese medicine (TCM).

Method: The basic information from 450 hypertensive cases and 479 healthy cases was collected by self-developed H20 questionnaires and pulse wave information was acquired by self-developed pulse diagnostic instrument (PDA-1). H20 questionnaires and pulse wave information were used as input variables to obtain different machine learning classification models of hypertension.

Tongue Image Database Construction Based on the Expert Opinions: Assessment for Individual Agreement and Methods for Expert Selection.

This study aims at introducing a method for individual agreement evaluation to identify the discordant raters from the experts' group. We exclude those experts and decide the best experts selection method, so as to improve the reliability of the constructed tongue image database based on experts' opinions. Fifty experienced experts from the TCM diagnostic field all over China were invited to give ratings for 300 randomly selected tongue images.