Effect of Water Exercise Therapy on Lower Limb Function Rehabilitation in Hemiplegic Patients with the First Stroke.

Objective: To investigate water exercise therapy's effect on lower limb function rehabilitation in patients with the first stroke. Method: 160 patients with the first stroke and lower limb dysfunction who received rehabilitation treatment in the Geriatric Hospital of Hainan, China, from May 2020 to June 2021 were randomly divided into two groups, the control group, and the hydrotherapy group. Each group comprises 80 cases in each group. The control group received conventional drug therapy and traditional rehabilitation training, while the hydrotherapy group received underwater exercise training in combination with the routine group treatment plan. The National Health Center Stroke Scale (NIHSS), the modified Rankin scale (MRS), the limb motor function score table (Fugl-Meyer assessment, FMA), Functional Walking Scale (functional ambulation category scale, FAC), Berg Balance Scale (BBS) and the modified Barthel index (MBI) were respectively used to evaluate the neurological function, lower limb motor function, walking function, balance function and daily living ability before and after treatment. Result: There was no significant difference in NIHSS, MRS, FMA, FAC, BBS, and MBI scores between the two groups before treatment (P > .05). However, after 8 weeks of treatment, there was a significant difference in FMA, FAC, BBS, and MBI scores between the two groups (P = .00035). The FMA scores in control group was 16.60 ± 4.49, while 21.45 ± 2.96 after treatment. The FAC scores in control group was 1.45 ± 0.68, while 1.95 ± 0.783 after treatment. Conclusion: Early water exercise training in hemiplegic patients with the first stroke can significantly enhance the balance ability, walking ability as well as limb coordination of patients.

Target Recognition in SAR Images by Deep Learning with Training Data Augmentation.

Mass production of high-quality synthetic SAR training imagery is essential for boosting the performance of deep-learning (DL)-based SAR automatic target recognition (ATR) algorithms in an open-world environment. To address this problem, we exploit both the widely used Moving and Stationary Target Acquisition and Recognition (MSTAR) SAR dataset and the Synthetic and Measured Paired Labeled Experiment (SAMPLE) dataset, which consists of selected samples from the MSTAR dataset and their computer-generated synthetic counterparts. A series of data augmentation experiments are carried out. First, the sparsity of the scattering centers of the targets is exploited for new target pose synthesis. Additionally, training data with various clutter backgrounds are synthesized via clutter transfer, so that the neural networks are better prepared to cope with background changes in the test samples. To effectively augment the synthetic SAR imagery in the SAMPLE dataset, a novel contrast-based data augmentation technique is proposed. To improve the robustness of neural networks against out-of-distribution (OOD) samples, the SAR images of ground military vehicles collected by the self-developed MiniSAR system are used as the training data for the adversarial outlier exposure procedure. Simulation results show that the proposed data augmentation methods are effective in improving both the target classification accuracy and the OOD detection performance. The purpose of this work is to establish the foundation for large-scale, open-field implementation of DL-based SAR-ATR systems, which is not only of great value in the sense of theoretical research, but is also potentially meaningful in the aspect of military application.

Corosolic acid and its structural analogs: A systematic review of their biological activities and underlying mechanism of action.

BACKGROUND: The corosolic acid (CA), also known as plant insulin, is a pentacyclic triterpenoid extracted from plants such as Lagerstroemia speciosa. It has been shown to have anti-diabetic, anti-inflammatory and anti-tumor effects. Its structural analogs ursolic acid (UA), oleanolic acid (OA), maslinic acid (MA), asiatic acid (AA) and betulinic acid (BA) display similar individual pharmacological activities to those of CA. However, there is no systematic review documenting pharmacological activities of CA and its structural analogues. This study aims to fill this gap in literature. PURPOSE: This systematic review aims to summarize the medical applications of CA and its analogues. METHODS: A systematic review summarizes and compares the extraction techniques, pharmacokinetic parameters, and pharmacological effects of CA and its structural analogs. Hypoglycemic effect is one of the key inclusion criteria for searching Web of Science, PubMed, Embase and Cochrane databases up to October 2020 without language restrictions. 'corosolic acid', 'ursolic acid', 'oleanolic acid', 'maslinic acid', 'asiatic acid', 'betulinic acid', 'extraction', 'pharmacokinetic', 'pharmacological' were used to extract relevant literature. The PRISMA guidelines were followed. RESULTS: At the end of the searching process, 140 articles were selected for the systematic review. Information of CA and five of its structural analogs including UA, OA, MA, AA and BA were included in this review. CA and its structural analogs are pentacyclic triterpenes extracted from plants and they have low solubilities in water due to their rigid scaffold and hydrophobic properties. The introduction of water-soluble groups such as sugar or amino groups could increase the solubility of CA and its structural analogs. Their biological activities and underlying mechanism of action are reviewed and compared. CONCLUSION: CA and its structural analogs UA, OA, MA, AA and BA are demonstrated to show activities in lowering blood sugar, anti-inflammation and anti-tumor. Their oral absorption and bioavailability can be improved through structural modification and formulation design. CA and its structural analogs are promising natural product-based lead compounds for further development and mechanistic studies.