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Heart rate variability as a predictor of intraoperative autonomic nervous system homeostasis
The aim of the proof-of-concept study is to investigate the level of concordance between the heart rate variability (HRV), the EEG-based Narcotrend...
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A Review of Anonymization Algorithms and Methods in Big Data
In the era of big data, with the increase in volume and complexity of data, the main challenge is how to use big data while preserving the privacy of...
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DQMMBSC: design of an augmented deep Q-learning model for mining optimisation in IIoT via hybrid-bioinspired blockchain shards and contextual consensus
Single-chained blockchains are highly secure but cannot be scaled to larger IIoT (Internet of Industrial Things) network scenarios due to storage...
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SurvdigitizeR: an algorithm for automated survival curve digitization
BackgroundDecision analytic models and meta-analyses often rely on survival probabilities that are digitized from published Kaplan–Meier (KM) curves....
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Representing a Model for the Anonymization of Big Data Stream Using In-Memory Processing
In light of the escalating privacy risks in the big data era, this paper introduces an innovative model for the anonymization of big data streams,...
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Set-Based Tests for Genetic Association Studies with Interval-Censored Competing Risks Outcomes
Over the past decade, massive genetic compendiums such as the UK Biobank have gathered extensive genetic and phenotypic data that hold the potential...
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Apple Leaf Disease Detection Using Transfer Learning
Automated detection of plant diseases is crucial as it simplifies the task of monitoring large farms and identifies diseases at their early stages to...
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Optimising a digitally delivered behavioural weight loss programme: study protocol for a factorial cluster randomised controlled trial
BackgroundDigitally delivered weight loss programmes can provide a convenient, potentially cheaper, and scalable treatment option for people who may...
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Enhancing OCT patch-based segmentation with improved GAN data augmentation and semi-supervised learning
For optimum performance, deep learning methods, such as those applied for retinal and choroidal layer segmentation in optical coherence tomography...
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A compartmental model for smoking dynamics in Italy: a pipeline for inference, validation, and forecasting under hypothetical scenarios
We propose a compartmental model for investigating smoking dynamics in an Italian region (Tuscany). Calibrating the model on local data from 1993 to...
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Are the loans of state-owned banks politically motivated?
This paper investigates the relationship between annual disbursements of Brazil’s largest development bank, BNDES, and mayors political affiliation....
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The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
As a digital social medium, blogs have transformed into arenas where individuals can express their perspectives, concepts, and feelings. This...
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Oracle-efficient M-estimation for single-index models with a smooth simultaneous confidence band
Single-index models are important and popular semiparametric models, as they can handle the problem of the “curse of dimensionality” and enjoy the...
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Development and preliminary evaluation of a suicidal risk assessment protocol in a randomised controlled trial using the Patient Health Questionnaire (PHQ-9)
BackgroundParticipants in research trials often disclose severe depression symptoms, including thoughts of self-harm and suicidal ideation, in...
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Healthcare delivery to patients from culturally and linguistically diverse backgrounds in emergency care: a sco** review protocol
BackgroundWorldwide, the culturally and linguistically diverse (CALD) population is increasing, and is predicted to reach 405 million by 2050. The...
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Effectiveness of smoking cessation interventions among adults: an overview of systematic reviews
BackgroundThis overview of reviews aims to identify evidence on the benefits (i.e. tobacco use abstinence and reduction in smoking frequency) and...
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Integrating equity indicators for hospital reporting metrics
Disparities in healthcare delivery and design are deeply-rooted within healthcare systems globally. Many researchers have developed methods to...
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A randomized controlled trial to assess if changing sleep timing can improve glucose metabolism in people with prediabetes and type 2 diabetes
BackgroundSocial jetlag is a chronic disruption of sleep timing that is characterized by different sleep timing during workdays and free days. Social...
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HyperMatch: long-form text matching via hypergraph convolutional networks
Semantic text matching plays a vital role in diverse domains, such as information retrieval, question answering, and recommendation. However, longer...