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Article
Multifunctional Terahertz Absorber Based on Graphene-VO2 Metamaterial with Linear Dichroism and Tunable Circular Dichroism
This study proposes a multifunctional terahertz absorber utilizing graphene and vanadium dioxide as functional materials. By utilizing vanadium dioxide in the metallic state, the device achieves linear dichroi...
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Article
Carbon-coated disproportionated SiO composite as anode materials for lithium-ion batteries
SiO is one of the most attractive anode materials for lithium-ion batteries due to its abundance and high theoretical specific energy density. However, the practical applications of SiO are seriously limited b...
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Article
Two-stage multi-task deep learning framework for simultaneous pelvic bone segmentation and landmark detection from CT images
Pelvic bone segmentation and landmark definition from computed tomography (CT) images are prerequisite steps for the preoperative planning of total hip arthroplasty. In clinical applications, the diseased pelv...
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Article
Annotation-efficient training of medical image segmentation network based on scribble guidance in difficult areas
The training of deep medical image segmentation networks usually requires a large amount of human-annotated data. To alleviate the burden of human labor, many semi- or non-supervised methods have been develope...
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Article
Open AccessAcid-sensing ion channel 1a modulation of apoptosis in acidosis-related diseases: implications for therapeutic intervention
Acid-sensing ion channel 1a (ASIC1a), a prominent member of the acid-sensing ion channel (ASIC) superfamily activated by extracellular protons, is ubiquitously expressed throughout the human body, including th...
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Article
Papillary fibroblast-recruiting injectable self-healing multifunctional hydrogels for wound regeneration
The recruitment of key cells to regeneration sites is a promising strategy to promote functional wound healing. Dermal fibroblasts exhibit a heterogeneous population of cells during homeostasis and in response...
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Article
Multi-omics and immune cells’ profiling of COVID-19 patients for ICU admission prediction: in silico analysis and an integrated machine learning-based approach in the framework of Predictive, Preventive, and Personalized Medicine
Intensive care unit admission (ICUA) triage has been urgent need for solving the shortage of ICU beds, during the coronavirus disease 2019 (COVID-19) surge. In silico analysis and integrated machine learning (...
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Article
Open AccessEfficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images
Training deep neural networks usually require a large number of human-annotated data. For organ segmentation from volumetric medical images, human annotation is tedious and inefficient. To save human labour an...
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Chapter
Optimal Cooling Strategy for Energy Management Using Multi-Temperature Acquisition Points in a Protected Crop** Facility
Energy management in protected crop** is critical due to the high cost of energy use in glasshouse facilities. The main purpose of this research was to investigate two different methods of regulating cooling...
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Article
Open AccessAnatomySketch: An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development
The development of medical image analysis algorithm is a complex process including the multiple sub-steps of model training, data visualization, human–computer interaction and graphical user interface (GUI) co...
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Article
Graphene wrapped wood-based phase change composite for efficient electro-thermal energy conversion and storage
With the increasing importance of electronic devices in modern industry, considerable efforts have been devoted to solving the problem that the electronic devices fail to work normally in a cold environment. H...
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Chapter and Conference Paper
Application and Exploration of Edge Computing in Ubiquitous Electric Internet of Things
The ubiquity of the Internet of things is the key to the smart grid development direction. With the advancement of the ubiquitous power Internet of Things, the number of edge devices in the network exploded, l...
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Chapter
Adopting Life Cycle Assessment for Various Greenhouse Typologies in Multiple Crop** Environment in Australia
Over the last decades, dramatic population growth worldwide has been directly reflecting in food security. United Nations (UN) projects a world population will increase more than one billion people within the ...
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Chapter
Process Modelling for an Efficient and Dynamic Energy Consumption for Fresh Produce in Protected Crop**
There are significant research and knowledge gaps on how greenhouse vegetable production can be optimised and the energy consumption can be minimised. In this study, we conducted the analysis of crop productio...
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Chapter and Conference Paper
Multi-resolution Statistical Shape Models for Multi-organ Shape Modelling
Statistical shape models (SSMs) are widely used in medical image segmentation. However, traditional SSM methods suffer from the High-Dimension-Low-Sample-Size (HDLSS) problem in modelling. In this work, we ext...
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Chapter
Genetics and Genomics of Stomatal Traits for Improvement of Abiotic Stress Tolerance in Cereals
In programmes for improving of , for grain yield is slow and costly, requiring many years and sites of field trials. Grain yield largely depends on the flag leaf characteristics and functions and is cor...
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Article
Open AccessImprovements in blood transfusion management: cross-sectional data analysis from nine hospitals in Zhejiang, China
Since 2008, updated perioperative blood management (PoBM) guidelines have been implemented in Zhejiang, China. These guidelines ensure that the limited blood resources meet increasing clinical needs and patien...
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Article
PpVIN2, an acid invertase gene family member, is sensitive to chilling temperature and affects sucrose metabolism in postharvest peach fruit
We previously reported that expression and activity of acid invertases (AI) are increased in peach fruit under chilling stress. In order to determine which AI genes respond to chilling stress, seven AI genes, ...
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Article
Open AccessComparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images
This study aimed to compare one state-of-the-art deep learning method and four classical machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer (NSCLC) from 18F-F...
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Article
Open AccessDevelopment and validation of a LC–MS/MS method for quantification of hetrombopag for pharmacokinetics study
Hetrombopag as the derivative of ethylidene hydrazine carboxamide was recently developed into a novel patented non-peptide thrombopoietin mimetic and thrombopoietin receptor agonist to treat idiopathic thrombo...
