Lipid on stroke in intracranial artery atherosclerotic stenosis: a mediation role of glucose.

Objective: Expanding on previous investigations, this study aims to elucidate the role of lipid metabolism disorders in the development of intracranial atherosclerotic stenosis (ICAS) and the determination of stroke risk. The primary objective is to explore the connections between lipid parameters and acute ischemic stroke (AIS), while also examining the potential mediating influence of fasting glucose levels.

Methods: Retrospectively, we collected data from symptomatic ICAS patients at the First Affiliated Hospital of Soochow University, including their baseline information such as medical histories and admission blood biochemical parameters.

Phonological awareness and RAN contribute to Chinese reading and arithmetic for different reasons.

The present study investigated how phonological awareness and rapid automatized naming (hereafter, RAN), simultaneously contributed to Chinese reading and arithmetic fluency. Specifically, we proposed a new hypothesized mechanism that processing speed would mediate the relations of RAN with Chinese reading and arithmetic fluency. One hundred and forty-five Chinese children at the fifth grade were administered with a battery of measures, including three phonological processing measures, character reading, and whole number computation, as well as nonverbal IQ, and vocabulary knowledge.

A Lightweight Hybrid Model with Location-Preserving ViT for Efficient Food Recognition.

Food-image recognition plays a pivotal role in intelligent nutrition management, and lightweight recognition methods based on deep learning are crucial for enabling mobile deployment. This capability empowers individuals to effectively manage their daily diet and nutrition using devices such as smartphones. In this study, we propose an Efficient Hybrid Food Recognition Net (EHFR-Net), a novel neural network that integrates Convolutional Neural Networks (CNN) and Vision Transformer (ViT).

How and when institutional trust helps deal with group crisis like COVID-19 pandemic for Chinese employees? A social perspective of motivation.

Social factors cannot be neglected in predicting individual psychological health during a group crisis. Grounded in Vroom's expectancy theory of motivation, the present research explores how and when institutional trust influences crisis related worries and griefs. Both the survey study ( = 234) and the experimental study ( = 111) were conducted to examine our hypothesized moderated mediation model.

Multi-Gas Detection System Based on Non-Dispersive Infrared (NDIR) Spectral Technology.

Automobile exhaust gases, such as carbon dioxide (CO), carbon monoxide (CO), and propane (CH), cause the greenhouse effect, photochemical smog, and haze, threatening the urban atmosphere and human health. In this study, a non-dispersive infrared (NDIR) multi-gas detection system consisting of a single broadband light source, gas cell, and four-channel pyroelectric detector was developed. The system can be used to economically detect gas concentration in the range of 0-5000 ppm for CH, 0-14% for CO, and 0-20% for CO.

Synthesis Strategy of Metal Oxide Quantum Wires a Nanoparticle-Induced Graphene Oxide Rolling Procedure.

The efficient synthesis of quantum materials is becoming a research hotspot as it determines their successful application in the fields of biomedicine, illumination, energy, sensors, information, and communication. Among the quantum materials, it is still a challenge to synthesize quantum wires (QWs) with surfactants due to the inevitable radial growth of QWs in the soft template method. In this paper, amphipathic graphene oxide (GO) was adopted as a macromolecular surfactant to limit the radial growth instead of the commonly used surfactant.

Comparing the Psychological Effects of Meditation- and Breathing-Focused Yoga Practice in Undergraduate Students.

Objectives: The present study aimed to compare the psychological effects of meditation- and breathing-focused yoga practice in undergraduate students.

Methods: A 12-weeks yoga intervention was conducted among a group of undergraduate students enrolled in four yoga classes at an academically prestigious university in Beijing, China. Four classes were randomized to meditation-focused yoga or breathing-focused yoga.

Tellurene Nanoflake-Based NO Sensors with Superior Sensitivity and a Sub-Parts-per-Billion Detection Limit.

Industrial production, environmental monitoring, and clinical medicine put forward urgent demands for high-performance gas sensors. Two-dimensional (2D) materials are regarded as promising gas-sensing materials owing to their large surface-to-volume ratio, high surface activity, and abundant surface-active sites. However, it is still challenging to achieve facilely prepared materials with high sensitivity, fast response, full recovery, and robustness in harsh environments for gas sensing.

Room-Temperature and Humidity-Resistant Trace Nitrogen Dioxide Sensing of Few-Layer Black Phosphorus Nanosheet by Incorporating Zinc Oxide Nanowire.

Surmounting the issues of high-sensitivity and room-temperature detection toward trace NO gas is of paramount importance in the fields of human health and ultralow emission. Recently, black phosphorus (BP), a novel two-dimensional material, has gained considerable interest to achieve this goal. However, related work is far from satisfactory due to sluggish response, insufficient recovery, and fragile stability.

The immediate and durable effects of yoga and physical fitness exercises on stress.

This study aimed to examine the effects of yoga and physical fitness exercises on stress and the underlying mechanisms. Healthy undergraduates from four yoga and four fitness classes participated in Study 1 (n = 191) and Study 2 (n = 143), respectively (in 2017 Fall). Study 1 evaluated the immediate effect (a 60-minute practice) while Study 2 evaluated the durable effect (a 12-week intervention).

Nitrogen dioxide sensing based on multiple-morphology cuprous oxide mixed structures anchored on reduced graphene oxide nanosheets at room temperature.

Sensitive detection of trace nitrogen dioxide (NO) gas at room temperature is of urgent necessity in the fields of healthcare and environment monitoring. To achieve this goal, we report on a porous composite film featuring reduced graphene oxide (rGO) nanosheets as the template platform of nanostructured cuprous oxide (CuO) nanowires and nanoparticles via a hydrothermal method. The sensor performance was investigated in terms of sensing response, optimal operation temperature, repeatability, long-term stability, selectivity and humidity effect on NO sensing.