H NMR Spectroscopy Combined with Machine-Learning Algorithm for Origin Recognition of Chinese Famous Green Tea Longjing Tea.

Premium green tea is a high-value agricultural product significantly influenced by its geographical origin, making it susceptible to food fraud. This study utilized nuclear magnetic resonance (NMR) spectroscopy to perform chemical fingerprint analysis on 78 Longjing tea (LJT) samples from both protected designation of origin (PDO) regions (Zhejiang) and non-PDO regions (Sichuan, Guangxi, and Guizhou) in China. Unsupervised algorithms and heatmaps were employed for the visual analysis of the data from PDO and non-PDO teas while exploring the feasibility of linear and nonlinear machine-learning algorithms in discriminating the origin of LJT.

Incidence, Predictors and Clinical Impact of Ventricular Electrical Storm in Arrhythmogenic Cardiomyopathy Patients with an Implantable Cardioverter-Defibrillator: A Single-Center Report with Medium-Term Follow-Up.

Background: Implantable cardioverter-defibrillator (ICD) is the most effective strategy for prevention of ventricular tachyarrhythmia in patients with arrhythmogenic cardiomyopathy (ACM). However, some patients receive ventricular electrical storm (VES), characterized by multiple episodes of sustained ventricular tachyarrhythmia. The purpose of this study was to determine the incidence, predictors and prognostic implications of VES in ACM patients with an ICD.

Artificial Intelligence Algorithm with ICD Coding Technology Guided by the Embedded Electronic Medical Record System in Medical Record Information Management.

The study aims to explore the application of international classification of diseases (ICD) coding technology and embedded electronic medical record (EMR) system. The study established an EMR information knowledge system and collected the data of patient medical records and disease diagnostic codes on the front pages of 8 clinical departments of endocrinology, oncology, obstetrics and gynecology, ophthalmology, orthopedics, neurosurgery, and cardiovascular medicine for statistical analysis. Natural language processing-bidirectional recurrent neural network (NLP-BIRNN) algorithm was used to optimize medical records.

[Application and analysis of medicinal plant resources of six major ethnic minorities living in Xishuangbanna].

The study aims at exploring the composition and characteristics of the medicinal plant resources of six major ethnic minorities living in Xishuangbanna, as well as the characteristics of traditional utilization of ethnic medicine, and promote the rational protection and inheritance and utilization of ethnic medicine resources and traditional knowledge. Based on the fourth survey of traditional Chinese medicine resources in Xishuangbanna, Yunnan province, through the methods of literature collection, interviewing and field investigation, this paper analyzed the data of the types, medicinal parts and attending diseases of medicinal plant resources of Dai, Hani, Jinuo, Wa, Lahu and Bulang nationalities. The results showed that there were 1 048 medicinal plant resources of the six ethnic minorities, and the medicinal plants were 735, 497, 272, 295, 280 and 49 in the six nationalities, respectively.

Multi-residue analysis of plant growth regulators and pesticides in traditional Chinese medicines by high-performance liquid chromatography coupled with tandem mass spectrometry.

A multi-residue method was developed for the simultaneous determination of 24 plant growth regulators (PGRs) and 11 representative pesticides that were widely applied in plants used in traditional Chinese medicines (TCMs) by high-performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS). The method was validated taking into consideration EU guidelines; calibration curves for all of the targeted analytes showed correlation coefficients (γ) higher than 0.9901.

Identification of a Novel Specific Cucurbitadienol Synthase Allele in Correlates with High Catalytic Efficiency.

Mogrosides, the main bioactive compounds isolated from the fruits of , are a group of cucurbitane-type triterpenoid glycosides that exhibit a wide range of notable biological activities and are commercially available worldwide as natural sweeteners. However, the extraction cost is high due to their relatively low contents in plants. Therefore, molecular breeding needs to be achieved when conventional plant breeding can hardly improve the quality so far.

Correlations between serum levels of 25-hydroxyvitamin D and carotid atherosclerosis in patients with type 2 diabetes in Shanghai.

Objective: To explore the potential association between the serum levels of 25-hydroxyvitamin D [25(OH)D] and carotid atherosclerosis in patients with type 2 diabetes.

Material And Methods: Three hundred and fifty patients with type 2 diabetes were enrolled in this study in Shanghai, China. B-mode ultrasound was used to detect carotid plaques as indicators of atherosclerosis and measure carotid artery intima-media wall thickness (C-IMT) at two sites of carotid artery.

Serum levels of 25-hydroxyvitamin D are associated with cognitive impairment in type 2 diabetic adults.

Hypovitaminosis D is highly prevalent in type 2 diabetes. The aim of this study is to determine the serum levels of 25-hydroxyvitamin D [25(OH)D] in type 2 diabetic patients with and without mild cognitive impairment (MCI), and examine the relationship of 25(OH)D and MCI with other clinical factors. One hundred and sixty-five diabetic patients were enrolled in this study.

Risk factors of mild cognitive impairment in middle aged patients with type 2 diabetes: a cross-section study.

Unlabelled: The aim of this study was to evaluate the risk factors of mild cognitive impairment (MCI) in middle-aged patients with type 2 diabetes (T2DM).

Methods: Montreal Cognitive Assessment (MoCA) was applied as cognition assessment implement. One hundred and fifty-seven middle-aged type 2 diabetic patients were enrolled in this cross-section study (age 40~69, mean age 55 ± 7).