Cardiac disease diagnosis based on GAN in case of missing data.

In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. However, these statistical methods require collecting data from the entire research area, which consumes a significant amount of manpower and material resources. Additionally, data integration is difficult and poses privacy protection challenges, resulting in a large number of missing data in the dataset.

Spatio-temporal mapping of leaf area index in rice: spectral indices and multi-scale texture comparison derived from different sensors.

Introduction: Monitoring the leaf area index (LAI), which is directly related to the growth status of rice, helps to optimize and meet the crop's fertilizer requirements for achieving high quality, high yield, and environmental sustainability. The remote sensing technology of the unmanned aerial vehicle (UAV) has great potential in precision monitoring applications in agriculture due to its efficient, nondestructive, and rapid characteristics. The spectral information currently widely used is susceptible to the influence of factors such as soil background and canopy structure, leading to low accuracy in estimating the LAI in rice.

What drives China's healthcare expenditure? A theoretical and empirical study of determinants and trends.

As economic development advances, there is an increasing focus on improving health conditions, making healthcare expenditure a critical issue worldwide. In China, healthcare spending has shown a marked upward trend, highlighting the importance of understanding its underlying determinants to guide effective policy-making. This study introduces the application of an SV-TVP-FAVAR model to examine the drivers of healthcare expenditure in China from 2007 to 2022.

Simulation and Experimental Study on Stress Relaxation Response of Polycrystalline γ-TiAl Alloy under Nanoindentation Based on Molecular Dynamics.

This study employed nano-indentation technology, molecular dynamics simulation, and experimental investigation to examine the stress relaxation behaviour of a polycrystalline γ-TiAl alloy. The simulation enabled the generation of a load-time curve, the visualisation of internal defect evolution, and the mapping of stress distribution across each grain during the stress relaxation stage. The findings indicate that the load remains stable following an initial decline, thereby elucidating the underlying mechanism of load change during stress relaxation.

Online measurement method for dimensions of disk parts based on machine vision.

Online measurement of disk part dimensions by the standard industrial camera features low cost, high efficiency and good universality, but the impact of projection distortion and end face chamfer on measurement is needed to overcome. Present work presents a measurement method to resolve above issues based on machine vision. To improve the measurement accuracy, lower end face of a disk part is determined as calibration plane and the upper end face is measurement plane.

Research on intelligent forecasts of flight actions based on the implemented bi-LSTM.

Rapid identification of flight actions by utilizing flight data is more realistic so the quality of flight training can be objectively assessed. The bidirectional long short-term memory (bi-LSTM) algorithm is implemented to forecast the flight actions of aircraft. The dataset containing the flight actions is structured by collecting tagged flight data when real flight training is exercised.

Principle and experimental study of a combined teardrop and heart-shaped channel bluffbody valveless piezoelectric pump.

In this study, we have developed a piezoelectric pump with a combined teardrop- and heart-shaped channel based on the Coanda effect and bionics principle. The bluffbody consists of teardrop- and heart-shaped channels. The vibration and the pump flow rate are evaluated theoretically, and the flow conditions under different bluffbody heights and different main channel widths are simulated.

Receive wireless sensor data through IoT gateway using web client based on border gateway protocol.

One of the significant topics in the field of the Internet of Things (IoT) pertains to the interaction and information sharing among people. The utilization of the Border Gateway Protocol (BGP) stack enhances the integration of web protocols and sensor networks, leading to greater accessibility. However, the BGP protocol stack introduces substantial overhead to messages transmitted at each layer, resulting in increased data overhead and energy consumption in networks by several orders of magnitude.

Rice Origin Tracing Technology Based on Fluorescence Spectroscopy and Stoichiometry.

The origin of agricultural products is crucial to their quality and safety. This study explored the differences in chemical composition and structure of rice from different origins using fluorescence detection technology. These differences are mainly affected by climate, environment, geology and other factors.

Recent developments in wearable piezoelectric energy harvesters.

Wearable piezoelectric energy harvesters (WPEHs) have gained popularity and made significant development in recent decades. The harvester is logically built by the movement patterns of various portions of the human body to harvest the movement energy and immediately convert it into usable electrical energy. To directly power different microelectronic devices on the human body, a self-powered device that does not require an additional power supply is being created.

Excitation-wavelength-dependent photoluminescence in GaAs nanowires under high-pressure.

GaAs nanowires (NWs) have wide application potential as near-infrared optical devices and the high-pressure strategy has been applied to modulate their crystal and electronic structures. As another typical thermodynamic parameter, temperature can also affect the optical performance of semiconductors. Here we report the excitation-wavelength-dependent photoluminescence (EWDP) in GaAs NWs under high-pressure conditions.

Landscape design of colleges based on the concept of ecological protection-taking Jilin Communications Polytechnic as an example.

The new design concept of being human-centered and emphasizing the organic construction of the ecological environment is progressively gaining popularity because of the growing influence of ecology, green building, and environmental protection theories. By examining the landscape architecture of colleges and universities, this study aims to investigate the principles of ecological and environmental protection and to advance the development of the ecological environment on campus. As a result, this study uses Jilin Communications Polytechnic as an example to discuss the state of the research on campus landscape design in Jilin province and its significance, examines the process of campus landscape design under the concept of ecological and environmental protection after introducing the study object, assessment indexes, and constituent aspects of campus landscape design.

Surface Quality Improvement for Ultrasonic-Assisted Inner Diameter Sawing with Six-Axis Force Sensors.

Ultrasonic-assisted inner diameter machining is a slicing method for hard and brittle materials. During this process, the sawing force is the main factor affecting the workpiece surface quality and tool life. Therefore, based on indentation fracture mechanics, a theoretical model of the cutting force of an ultrasound-assisted inner diameter saw is established in this paper for surface quality improvement.

Solid-like Slippery Surface with Excellent Comprehensive Performance.

Slippery surfaces with outstanding slippery performances have shown application prospects in various fields, including anti-icing, antifouling, droplet transportation, and fog collection. However, practical application of the existing slippery surfaces is limited by lubricating oil loss, low water-slippery ability, low surface robustness, complex processes, and high costs. To overcome these limitations, we propose a facile, low-cost method to create a solid-like slippery Al surface (SSS-Al) by mixing hydrophobic nano-ceramic coating, silicone oil, and nano-SiO, which shows excellent comprehensive performance.

How does platform's fintech level affect its word of mouth from the perspective of user psychology?

Introduction: The rapid development of fintech has brought opportunities for business operations and economic development. Currently, few researches have focused on how fintech level affects word-of-mouth (WOM) from the perspective of user psychology. Therefore, studying the effect of fintech level on WOM is a worthwhile scientific question.

Are narcissists always bad apples? The relationship between employee narcissism and creative deviance.

This study aims to advance the understanding of the effect of employee narcissism on creative deviance through creative self-efficacy and the moderation of this effect through transformational leadership. Research data were collected using a three-wave lagged model ( = 446) from 446 employees of 6 Chinese companies to test our moderated mediation model. The findings show that narcissism positively and significantly predicted creative self-efficacy ( = 0.

Research on the dynamic spillover of stock markets under COVID-19-Taking the stock markets of China, Japan, and South Korea as an example.

Examining stock market interactions between China (mainland China and Hong Kong), Japan, and South Korea, this study employs a framework that includes 239 economic variables to identify the spillover effects among these three countries, and empirically simulates the dynamic time-varying non-linear relationship between the stock markets of different countries. The findings are that in recent decades, China's stock market relied on Hong Kong's as a window to the exchange of price information with Japan and South Korea. More recently, the China stock market's spillover effect on East Asia has expanded.

The relationship between farmers' entrepreneurial behavior and macroeconomics based on the probit regression model and entrepreneurial psychological capital.

At present, the research on the influence mechanism of psychological capital on farmers' entrepreneurial behavior is relatively mature. However, the relationship between farmers' entrepreneurial behavior and macroeconomics by entrepreneurial psychological capital (PsyCap) is still unclear. Based on this, firstly, this work analyzes the entrepreneurial PsyCap in detail.

Construction of a Basic Japanese Teaching Resource Base Based on a Deep Neural Network under a Big Data Environment.

A challenge for education and teaching in universities is posed by "Internet plus," which has made numerous educational resources at universities richer and more accessible. The development of a professional Japanese teaching resource base should be centered on the needs and characteristics of Japanese teaching in universities, as well as establish and enhance the mechanism for resource base construction. All forms of instructional resources should also continuously be updated and improved in order to realize the diversified, systematic, open, and long-term development of Japanese instructional resources.

Machine Learning-Based Intelligent Scoring of College English Teaching in the Field of Natural Language Processing.

The current education evaluation is limited not only to the mode of simplification, indexing, and datafication, but also to the scientific nature of college teaching evaluation. This work firstly conducts a theoretical analysis of natural language processing technology, analyzes the related technologies of intelligent scoring, designs a systematic process for intelligent scoring of college English teaching, and finally conducts theoretical research on the Naive Bayesian algorithm in machine learning. In addition, the error of intelligent scoring of English teaching in colleges and universities and the accuracy of scoring and classification are analyzed and researched.

Research on the Dynamic Feedback Mechanism of Fiscal Policy Regulation Under COVID-19: Evidence From China.

The repeated outbreak of COVID-19 epidemic has brought a heavy blow to the world economy. Fiscal policy is one of the important macro-control measures to pull the economy out of the quagmire, and it is necessary to study the implementation of fiscal policy under the epidemic. Due to the relatively abundant resources of the Chinese government, this study uses China as the research object to study the orientation of fiscal policy under COVID-19 epidemic.

Analysis on the Key Influence of Adolescent Health Information Literacy Using Big Data Analysis Technology under Social Network Environment.

. This paper aims to explore the influence mechanism of adolescent health information literacy on health behavior. .