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Article
Open AccessEffect of Tronclass combined with team-based learning on nursing students’ self-directed learning and academic performance: a pretest-posttest study
Self-directed learning ability is crucial for lifelong learning. The inadequate self-directed learning ability of nursing students in China may be due to their deficiency in self-management or learning initiat...
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Article
Machine learning methods for predicting the uniaxial compressive strength of the rocks: a comparative study
The uniaxial compressive strength (UCS) of rocks is a critical index for evaluating the mechanical properties and construction of an engineering rock mass classification system. The most commonly used method f...
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Article
Dietary intakes of vitamin D promote growth performance and disease resistance in juvenile grass carp (Ctenopharyngodon idella)
Vitamin D3 (VD3) is an essential nutrient for fish and participates in a variety of physiological activities. Notably, both insufficient and excessive supplementation of VD3 severely impede fish growth, and the r...
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Article
Open AccessTwo-dimensional materials for future information technology: status and prospects
Over the past 70 years, the semiconductor industry has undergone transformative changes, largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensi...
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Article
Dual-emission Tb-based coordination polymer as a ratiometric fluorescence probe for the detection of phosphate
A simple, sensitive dual-emission probe was developed for the detection of phosphate (Pi). The probe Tb-BTB/DPA was synthesized by mixing dual-ligand, 1,3,5-tri(4-carboxyphenyl) benzene (H3BTB) and dipicolinic ac...
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Article
Open AccessAssociation between computed tomography-quantified respiratory muscles and chronic obstructive pulmonary disease: a retrospective study
This study examined the association between chest muscles and chronic obstructive pulmonary disease (COPD) and the relationship between chest muscle areas and acute exacerbations of COPD (AECOPD).
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Article
Open AccessThe biosafety incident response competence scale for clinical nursing staff: a development and validation study
This study was designed to develop a biosafety incident response competence scale and evaluate its validity and reliability among clinical nurses.
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Article
Research of spatial context convolutional neural networks for early diagnosis of Alzheimer’s disease
The early and effective diagnosis of Alzheimer’s disease (AD) and mild cognitive impairment (MCI) has received increasing attention in recent years. However, currently available deep learning methods often ign...
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Article
Open AccessCharacteristics of COVID-19 and Impact of Disease Activity in Patients with Adult-Onset Still’s Disease
This study aimed to characterize the morbidity, hospitalization, and mortality rates among patients with adult-onset Still’s disease (AOSD) affected by coronavirus disease 2019 (COVID-19) and explore the impac...
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Article
Application and structure of carbon nanotube and graphene-based flexible electrode materials and assembly modes of flexible lithium-ion batteries toward different functions
In recent years, the rapid development of portable/wearable electronics has created an urgent need for the development of flexible energy storage devices. Flexible lithium-ion batteries (FLIBs) have emerged as...
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Chapter and Conference Paper
Prediction of Banking Customer Churn Based on XGBoost with Feature Fusion
With the increasing competition in the banking industry, accurate prediction of banking customer churn has become an important way in managing customer relationships. To explore efficacy features, enhance the ...
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Chapter and Conference Paper
Tourism Demand Forecasting with Multi-terminal Search Query Data and Deep Learning
This study aims to explore the effectiveness of multiple devices’ search query in tourism demand forecasting. Accordingly, this study collects search data from computer and mobile devices, and proposed a hybri...
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Chapter and Conference Paper
Time Series Classification Based on Data-Augmented Contrastive Learning
Time series classification has become a popular research topic in data mining and has a wide range of applications in many fields in daily life. When analyzing and classifying time series, it is challenging to...
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Reference Work Entry In depth
Analog and Mixed-Signal IC Products
Among all semiconductor and IC products in the global market, analog and mixed-signal and RF ICs contribute to about 15% of the total. Different from digital products, AMS and RF products can be used in stand-...
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Article
Disturbance Observer-based Finite-time Optimal Synchronization Control for Multi-motor Driving Servo Systems
In this paper, a disturbance observer-based finite-time optimal synchronization control strategy is proposed with an adaptive bias torque for multi-motor driving servo systems. Finite time disturbance observer...
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Article
Open AccessNeutralizing anti-IFN-γ IgG was increased in patients with systemic lupus erythematosus and associated with susceptibility to infection
Systemic lupus erythematosus (SLE) is a complicated autoimmune disease, in which infection is a leading cause of death. Some SLE patients clinically presented with recurrent and refractory infections, which ma...
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Article
Open AccessNeutrophil extracellular trap-induced intermediate monocytes trigger macrophage activation syndrome in adult-onset Still’s disease
Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disease characterized by innate immune system activation, with a high risk for macrophage activation syndrome (MAS). MAS development is associa...
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Article
Enhancing lead adsorption capacity prediction in biochar: a comparative study of machine learning models and parameter optimization
Machine learning models for predicting lead adsorption in biochar, based on preparation features, are currently lacking in the environmental field. Existing conventional models suffer from accuracy limitations...
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Article
Comprehensive Learning Strategy Enhanced Chaotic Whale Optimization for High-dimensional Feature Selection
Feature selection (FS) is an adequate data pre-processing method that reduces the dimensionality of datasets and is used in bioinformatics, finance, and medicine. Traditional FS approaches, however, frequently...
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Article
Open AccessThe use of high-sensitivity cardiac troponin I in assessing cardiac involvement and Disease prognosis in idiopathic inflammatory myopathy
Cardiac involvement is one of the most serious complications of idiopathic inflammatory myopathy (IIM) that indicates poor prognosis. However, there is a lack of effective biomarkers for the identification of ...
