Virtual reality technology improves the gait and balance function of the elderly: a meta-analysis of randomized controlled trials.

Introduction: Improving the gait and balance function is an important part of the health of the elderly. This study aimed to conduct a meta-analysis to evaluate the effects of virtual reality (VR) technology on the gait and balance function of the elderly.

Material And Methods: Two authors independently searched EMBASE, PubMed, Web of Science, ClinicalTrials, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang and Weipu databases up to October 20, 2023 for randomized controlled trials (RCTs) on the application of VR in improving the gait and balance function in the elderly.

Mobile-based program improves healthy eating of ulcerative colitis patients: A pilot study.

Background: Dietary management plays a crucial role in the treatment of patients with ulcerative colitis (UC). While various e-services provide dietary advice, the long-term dietary management requires continuous monitoring and dynamic adjustment to accommodate the evolving nature of the disease and meet the patients' nutritional needs. Consequently, the development of a novel dietary management tool that incorporates diet tracking, personalized nutritional feedback, and evidence-based advice becomes imperative.

A Mesh Space Mapping Modeling Method with Mesh Deformation for Microwave Components.

In this study, a low-cost space mapping (SM) modeling method with mesh deformation is proposed for microwave components. In this approach, the coarse-mesh model with mesh deformation is developed as the coarse model, and the fine-mesh model is simulated as the fine model. The SM technique establishes the mapping relationship between the coarse-mesh model and the fine-mesh model.

A Novel Strategy for Extracting Richer Semantic Information Based on Fault Detection in Power Transmission Lines.

With the development of the smart grid, the traditional defect detection methods in transmission lines are gradually shifted to the combination of robots or drones and deep learning technology to realize the automatic detection of defects, avoiding the risks and computational costs of manual detection. Lightweight embedded devices such as drones and robots belong to small devices with limited computational resources, while deep learning mostly relies on deep neural networks with huge computational resources. And semantic features of deep networks are richer, which are also critical for accurately classifying morphologically similar defects for detection, helping to identify differences and classify transmission line components.

Improved Empirical Formula Modeling Method Using Neuro-Space Mapping for Coupled Microstrip Lines.

In this paper, an improved empirical formula modeling method using neuro-space mapping (Neuro-SM) for coupled microstrip lines is proposed. Empirical formulas with correction values are used for the coarse model, avoiding a slow trial-and-error process. The proposed model uses mapping neural networks (MNNs), including both geometric variables and frequency variables to improve accuracy with fewer variables.

Room-Temperature CMOS Monolithic Resonant Triple-Band Terahertz Thermal Detector.

Multiband terahertz (THz) detectors show great application potential in imaging, spectroscopy, and sensing fields. Thermal detectors have become a promising choice because they could sense THz radiations on the whole spectrum. This paper demonstrates the operation principle, module designs with in-depth theoretical analysis, and experimental validation of a room-temperature CMOS monolithic resonant triple-band THz thermal detector.

Analytical Separated Neuro-Space Mapping Modeling Method of Power Transistor.

An analytically separated neuro-space mapping (Neuro-SM) model of power transistors is proposed in this paper. Two separated mapping networks are introduced into the new model to improve the characteristics of the DC and AC, avoiding interference of the internal parameters in neural networks. Novel analytical formulations are derived to develop effective combinations between the mapping networks and the coarse model.

Network Pharmacology-Based and Experimental Identification of the Effects of Paeoniflorin on Major Depressive Disorder.

Major depressive disorder (MDD) is one of the most common psychiatric disorders, the diagnosis and treatment of MDD are major clinical issues. However, there is a lack of effective biomarkers and drugs diagnosis and therapeutics of MDD. In the present study, bioinformatics analysis combined with an experimental verification strategy was used to identify biomarkers and paeoniflorin targets for MDD diagnosis and treatment.

The Emerging Role of Police in Facilitating Psychiatric Evaluation Since the 2013 Implementation of the First Chinese Mental Health Law.

In 2013, China's first Mental Health Law (MHL) took effect, with the goal of better protecting patients' rights. Under the law the police, with appropriate training, rather than family members, employers or medical staff sent from a hospital, are the ones who bring persons in behavioral crises to medical facilities for psychiatric assessment for possible involuntary hospitalization. We examined the proportion and distinctive characteristics of persons brought to psychiatric emergency services (PES) by the police since the implementation of MHL.

IKULDAS: An Improved NN-Based UHF RFID Indoor Localization Algorithm for Directional Radiation Scenario.

Ultra high frequency radio frequency identification (UHF RFID)-based indoor localization technology has been a competitive candidate for context-awareness services. Previous works mainly utilize a simplified Friis transmission equation for simulating/rectifying received signal strength indicator (RSSI) values, in which the directional radiation of tag antenna and reader antenna was not fully considered, leading to unfavorable performance degradation. Moreover, a -nearest neighbor (NN) algorithm is widely used in existing systems, whereas the selection of an appropriate value remains a critical issue.

Draft Genome Sequence of Strain 3M004, a Probiotic with Potential Quorum-Sensing Regulation.

We present here the draft genome sequence of strain 3M004, a probiotic that has potential for regulating quorum sensing. The strain was obtained from a type of aquafeed. The assembly consists of 2,459,326 bp and contains 33 contigs, with a G+C content of 45.

Purification of Flavonoids from Chinese Bayberry (Morella rubra Sieb. et Zucc.) Fruit Extracts and α-Glucosidase Inhibitory Activities of Different Fractionations.

Chinese bayberry (Morella rubra Sieb. et Zucc.) fruit have a diverse flavonoid composition responsible for the various medicinal activities, including anti-diabetes.

[Hypoglycemic and hypolipidemic effects of quercetin and its glycosides].

Quercetin and its glycosides are important flavonols in traditional herbal drugs and plant-derived food, and they have diverse hiological activities such as antioxidant, anticarcinogenic, anti-inflammatory, hypoglycemic and hypolipidemic activities. Numerous studies have demonstrated that quercetin and its glycosides were effective in the prevention and treatment of non-infectious chronic disease such as diabetes, obesity, and hyperlipidemia. They can regulate glucose and lipid metaholism through different mechanisms.

Anti-Obesity and Hypoglycemic Effects of Poncirus trifoliata L. Extracts in High-Fat Diet C57BL/6 Mice.

The present study investigated the possible anti-obesity and hypoglycemic effects of Poncirus trifoliata L. extracts. Mature fruit were divided into flavedo (PF) and juice sacs (PJ), and extracts from them were tested on C57BL/6 mice fed a high-fat diet (HFD) for thirteen weeks.