Internet of Things of Big Data for Healthcare
5th International Workshop, IoTBDH 2023, Birmingham, UK, October 21–25, 2023, Proceedings
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Article
AI-enhanced digital technologies for myopia management: advancements, challenges, and future prospects
Myopia, a prevalent refractive error leading to visual impairment, presents a substantial global health challenge. Current preventive measures, including pharmaceutical interventions and optical corrections, r...
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Article
Correction: Upgrading of thermosets and composites via sequential frontal ring‑opening metathesis polymerization and radical reactions
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Article
Upgrading of thermosets and composites via sequential frontal ring-opening metathesis polymerization and radical reactions
Frontal ring-opening metathesis polymerization (FROMP) of dicyclopentadiene (DCPD) shows promise for manufacturing thermosets and composites. To widen the applications, this work develops a novel approach for ...
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Article
Establishing a rainfall dual-threshold for flash flood early warning considering rainfall patterns in mountainous catchment, China
Flash flood early warning is a very effective way to reduce casualties induced by rainstorm flash flood in mountainous area. The forecasting of flash flooding remains challenging because of the short response ...
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Article
Open AccessThresholds and prediction models to support the sustainable management of herbivorous insects in wheat. A review
Wheat is one of the most important arable crops grown worldwide, providing a significant proportion of the daily calorific intake for countries across the globe. Wheat crops are attacked by a diverse range of ...
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Article
Diversification of Higher Education as Policy Diffusion: The Rise of the Non-university Sector in China
Over the past 40 years, global tertiary expansion has been driven in part by the rise of the non-university sector. The growth of this sector, which includes vocational colleges, also contributes to increasing...
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Article
Open AccessA holistic multi-source transfer learning approach using wearable sensors for personalized daily activity recognition
Human activity recognition (HAR) aims to collect time series through wearable devices to precisely identify specific actions. However, the traditional HAR method ignores the activity variances among individual...
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Chapter and Conference Paper
Representative UPDRS Features of Single Wearable Sensor for Severity Classification of Parkinson’s Disease
Parkinson’s disease (PD) is a common neurodegenerative disease. So far, there is no cure for this disease, but the right medicine can slow down the progress of the disease. Therefore, early diagnosis of this d...
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Chapter and Conference Paper
Adaptive Prior Correction in Alzheimer’s Disease Spatio-Temporal Modeling via Multi-task Learning
Multi-task learning methods have been studied in Alzheimer’s disease for cognitive status prediction and neuroimaging feature identification widely by utilizing prior constraints. However, the existing models ...
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Book and Conference Proceedings
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Chapter and Conference Paper
Randomized Multi-task Feature Learning Approach for Modelling and Predicting Alzheimer’s Disease Progression
Multi-task feature learning (MTFL) methods play a key role in predicting Alzheimer’s disease (AD) progression. These studies adhere to a unified feature-sharing framework to promote information exchange on rel...
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Article
Open AccessEfficient multi-task learning with adaptive temporal structure for progression prediction
In this paper, we propose a novel efficient multi-task learning formulation for the class of progression problems in which its state will continuously change over time. To use the shared knowledge information ...
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Article
Synthesis of poly(maleimide)s with promising performance via Diels–Alder reaction and ring-opening metathesis polymerization
This work aims to generate maleimides to polymers via Diels–Alder reaction and ring-opening metathesis polymerization (ROMP). Maleimides were converted to adducts through Diels–Alder reactions by reacting with...
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Article
Open AccessTransarterial chemoembolization with PD-(L)1 inhibitors plus molecular targeted therapies for hepatocellular carcinoma (CHANCE001)
There is considerable potential for integrating transarterial chemoembolization (TACE), programmed death-(ligand)1 (PD-[L]1) inhibitors, and molecular targeted treatments (MTT) in hepatocellular carcinoma (HCC...
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Article
Open AccessA novel feature relearning method for automatic sleep staging based on single-channel EEG
Correctly identifying sleep stages is essential for assessing sleep quality and treating sleep disorders. However, the current sleep staging methods have the following problems: (1) Manual or semi-automatic ex...
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Chapter and Conference Paper
Up-Sampling Active Learning: An Activity Recognition Method for Parkinson’s Disease Patients
Parkinson’s Disease (PD) is the second most common neurodegenerative disease. With the advancement of technologies of big data, wearable sensing and artificial intelligence, automatically recognizing PD patien...
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Article
Bulk ring-opening metathesis copolymerization of dicyclopentadiene and 5-ethylidene-2-norbornene: mixing rules, polymerization behaviors and properties
This work aims to explore the bulk ring-opening metathesis copolymerization of dicyclopentadiene and 5-ethylidene-2-norbornene by modifying the comonomer feed ratios. Thorough studies showed that their perform...
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Article
CHCl3/triethanolamine: a new mixed solvent for preparing high-molecular-weight main-chain benzoxazines through Mannich-type polycondensation
Mannich-type polycondensation with 4,4’-diaminodiphenylmethane (DDM), 2,2-bis(4-hydroxyphenol) propane (BPA) and paraformaldehyde (PF) in different solvents was carried out to prepare main-chain benzoxazines. ...
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Chapter and Conference Paper
Fast Algorithm of Three-Layer Flexible Neural Network Using Pseudo-inverse Learning Algorithm
The Flexible neural tree uses evolutionary computation and particle swarm optimization algorithm to construct a tree structure suitable for the optimal approximate solution of the current data. However, becaus...
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Article
A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer’s Disease Using Machine Learning Methods
Alzheimer’s an irreversible neurodegenerative disease with the most far-reaching impact, the most extensive, and the most difficult to cure in the world. It is also the most common disease of Alzheimer’s disea...
