Development and Testing of a Multi-Component Intervention to Improve Medication Literacy in Glaucoma Patients.

Objective: To develop a medication literacy intervention program for glaucoma and test its effects on medication literacy, medication self-efficacy and medication adherence.

Methods: The intervention was constructed according to the Information-Motivation-Behavioral skills Model and the Health Belief Model. Preliminary protocols were revised through expert group meetings and pre-experiments to form a formal intervention plan.

Training of a deep learning based digital subtraction angiography method using synthetic data.

Background: Digital subtraction angiography (DSA) is a fluoroscopy method primarily used for the diagnosis of cardiovascular diseases (CVDs). Deep learning-based DSA (DDSA) is developed to extract DSA-like images directly from fluoroscopic images, which helps in saving dose while improving image quality. It can also be applied where C-arm or patient motion is present and conventional DSA cannot be applied.

A CT-Based Radiomics Model for Prediction of Prognosis in Patients with Novel Coronavirus Disease (COVID-19) Pneumonia: A Preliminary Study.

This study aimed to develop a computed tomography (CT)-based radiomics model to predict the outcome of COVID-19 pneumonia. In total of 44 patients with confirmed diagnosis of COVID-19 were retrospectively enrolled in this study. The radiomics model and subtracted radiomics model were developed to assess the prognosis of COVID-19 and compare differences between the aggravate and relief groups.

Qualitative (and Quantitative) Values of the Lung-RADS and Computed Tomography in Diagnosing Solitary Pulmonary Nodules.

Background: Lung-RADS classification and CT signs can both help in the differential diagnosis of SPNs. The purpose of this study was to investigate the diagnostic value of these two methods and the combination of the two methods for solitary pulmonary nodules (SPNs). Methods: A total of 296 cases of SPNs were retrospectively analyzed.

Study on the Optimization of Cu-Zn-Sn-O to Prepare CuZnSnS Thin Film via a Nano Ink Coating Method.

To reduce the formation of the impurity phase, a buffer volume can be used to expands and smooths the surface of CuZnSnS(CZTS) thin film. In this study, a Cu-Zn-Sn-O(CZTO) precursor was synthesized through the process of coprecipitation-calcination-ball milling-spin coating. The influence of pH, temperature, and PVP on the constituent of hydroxides was investigated in the process of coprecipitation.

Blind Deblurring Based on Sigmoid Function.

Blind image deblurring, also known as blind image deconvolution, is a long-standing challenge in the field of image processing and low-level vision. To restore a clear version of a severely degraded image, this paper proposes a blind deblurring algorithm based on the sigmoid function, which constructs novel blind deblurring estimators for both the original image and the degradation process by exploring the excellent property of sigmoid function and considering image derivative constraints. Owing to these symmetric and non-linear estimators of low computation complexity, high-quality images can be obtained by the algorithm.

Using Cu-Zn-Sn-O Precursor to Optimize CZTSSe Thin Films Fabricated by Se Doping With CZTS Thin Films.

The copper-zinc-tin oxide (CZTO) precursor was synthesized to avoid sudden volume expansion from CZTO precursor to CuZnSnS (CZTS) thin films and smooth CZTSSe thin-film surfaces without pinholes. The CZTO precursor was prepared by coprecipitation and ball milling to form nanoink of CZTO. Based on the CZTO precursor, the CZTS thin film was fabricated and then selenized to make pinhole-free and flat CuZnSn(S,Se)(CZTSSe) thin films.

Radiomic signature: a non-invasive biomarker for discriminating invasive and non-invasive cases of lung adenocarcinoma.

Purpose: We aimed to assess the classification performance of a computed tomography (CT)-based radiomic signature for discriminating invasive and non-invasive lung adenocarcinoma.

Patients And Methods: A total of 192 patients (training cohort, n=116; validation cohort, n=76) with pathologically confirmed lung adenocarcinoma were retrospectively enrolled in the present study. Radiomic features were extracted from preoperative unenhanced chest CT images to build a radiomic signature.

INTERNAL TRANSCRIBED SPACER (ITS), AN IDEAL DNA BARCODE FOR SPECIES DISCRIMINATION IN CRAWFURDIA WALL. (GENTIANACEAE).

Background: DNA barcoding is a technique used to identify species based on species-specific differences in short regions of their DNA. It is widely used in species discrimination of medicinal plants and traditional medicines.

Materials And Methods: In the present study, four potential DNA barcodes, namely , , and ITS (nuclear ribosomal internal transcribed spacer) were adopted for species discrimination in Wall (Genetiaceae).

Market survey on traditional medicine of the third month fair in Dali Prefecture in Yunnan Province, South West China.

Background: The Third Month Fair in Dali is a historical festival and fair. The market of traditional medicine (TM) is one of the main parts in the fair, which has important influence on local and peripheral people.

Materials And Methods: In this study, approaches of ethnobotany, pharmacognosy, and participatory rural appraisal were used in market survey.

[Effect of water and nitrogen fertilizer coupling on yield and growth of genuine medicinal materials Chuzhou Chrysanthemum morifolium].

Objective: To discuss the suitable water and nitrogen management mode in artificial cultivation of Chuzhou Chrysanthemum morifolium.

Methods: According to two factors quadratic regression rotation design experience, pot experiment was conducted.

Results: There were remarkable effects of water and nitrogen coupling on inflorescence number, yield and overground part biomass of Chuzhou Chrysanthemum morifolium, and there were significant positive interaction between water and nitrogen.