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Article
3D shape measurement based on Res-Attention-Unet for deep learning
This paper proposes a 3D shape measurement method based on Res-Attention-Unet for deep learning, which effectively integrates single-frame fringe phase extraction and temporal phase unwrap**. The Res-Attenti...
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Article
Open AccessLipoproteins and metabolites in diagnosing and predicting Alzheimer’s disease using machine learning
Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that poses a substantial economic burden. The Random forest algorithm is effective in predicting AD; however, the key factors influencing AD ons...
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Article
Open AccessFAM20A is a golgi-localized Type II transmembrane protein
Family with sequence similarity 20, member A (FAM20A) is a pseudo-kinase in the secretory pathway and is essential for enamel formation in humans. Here we examine if FAM20A is a membrane-associated protein. We...
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Article
Edge-computing-assisted intelligent processing of AI-generated image content
Artificial intelligence-generated image content (AIGIC) is produced through the extraction of features and patterns from a vast image dataset, requiring substantial computational resources for training. Due to...
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Article
Open AccessTrend analysis and prediction of gonorrhea in mainland China based on a hybrid time series model
Gonorrhea has long been a serious public health problem in mainland China that requires attention, modeling to describe and predict its prevalence patterns can help the government to develop more scientific in...
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Article
Deep learning applications in games: a survey from a data perspective
This paper presents a comprehensive review of deep learning applications in the video game industry, focusing on how these techniques can be utilized in game development, experience, and operation. As relying ...
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Article
Detecting the weak damped oscillation signal in the agricultural machinery working environment by vibrational resonance in the duffing system
The working environment for agricultural machinery is complex and variable. Some weak characteristic damped oscillation signals are extremely difficult to extract and analyze because of their long-term operati...
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Article
Open AccessFavorable immune checkpoint inhibitor outcome of patients with melanoma and NSCLC harboring FAT1 mutations
Immune checkpoint inhibitors (ICIs) are most commonly used for melanoma and non-small cell lung cancer (NSCLC) patients. FAT atypical cadherin 1 (FAT1), which frequently mutates in melanoma and NSCLC. In this ...
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Article
Open AccessThe association between ambient temperature and mortality of the coronavirus disease 2019 (COVID-19) in Wuhan, China: a time-series analysis
The COVID-19 has caused a sizeable global outbreak and has been declared as a public health emergency of international concern. Sufficient evidence shows that temperature has an essential link with respiratory...
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Chapter and Conference Paper
Research on Optimization of Data Balancing Partition Algorithm Based on Spark Platform
Aiming at the data skew problem in the Spark system caused by the unbalanced distribution of the input data and the default partition algorithm, this paper proposes an optimized partition method to solve the d...
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Article
An efficient multidimensional \(L_{\infty }\) wavelet method and its application to approximate query processing
Approximate query processing (AQP) has been an effective approach for real-time and online query processing for today’s query systems. It provides approximate but fast query results to users. In wavelet based ...
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Article
Open AccessA comparative study of international and Chinese public health emergency management from the perspective of knowledge domains map**
At the end of 2019, the outbreak of coronavirus disease 2019 (COVID-19) severely damaged and endangered people’s lives. The public health emergency management system in China has played an essential role in ha...
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Article
Open AccessEpidemic of chronic diseases and the related healthy lifestyle interventions in rural areas of Shandong Province, China
There were amounts of previous studies on chronic diseases, but few studies on the prevalence of chronic disease and the healthy lifestyle intervention in recent years, China. This study aimed to investigate t...
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Chapter and Conference Paper
Task Offloading Strategy in Cloud Collaborative Edge Computing
With the development of 5G and IOT technology, data processed by intelligent mobile terminals grows explosively. Due to the limited computing power of the intelligent terminal, which can not meet the requireme...
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Article
Generating multidimensional schemata from relational aggregation queries
Designing a multidimensional model is a non-trivial task: the requirements collected from senior managers can be inaccurate and difficult to use, especially when they are not database practitioners. On the oth...
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Article
FAM20A is essential for amelogenesis, but is dispensable for dentinogenesis
Mutations in the gene encoding family with sequence similarity 20, member A (FAM20A) caused amelogenesis imperfecta (AI), in humans. However, the roles of FAM20A in amelogenesis and dentinogenesis are poorly u...
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Article
Pretreatment PET/CT imaging of angiogenesis based on 18F-RGD tracer uptake may predict antiangiogenic response
To explore the relationship between metabolic uptake of the 18F-ALF-NOTA-PRGD2 (18F-RGD) tracer on positron emission tomography/computerized tomography (PET/CT) and the antiangiogenic effect of apatinib in patien...
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Article
Open AccessDosimetric evaluation of four whole brain radiation therapy approaches with hippocampus and inner ear avoidance and simultaneous integrated boost for limited brain metastases
To perform a dosimetric evaluation of four different simultaneous integrated boost whole brain radiotherapy modalities with hippocampus and inner ear avoidance in the treatment of limited brain metastases.
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Chapter and Conference Paper
Research on Load Balancing Algorithm Optimization Based on Spark Platform
Spark is an efficient big data processing platform based on memory computing. However, the default task scheduling algorithm in Spark does not take into account the difference in capability and resource usage ...
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Chapter and Conference Paper
Research on the Optimization of Spark Big Table Equal Join
The big table equal join operation is one of the key operations of Spark for processing large-scale data. However, when Spark handles large table equal join problems, the network transmission overhead is relat...