Partially multi-view clustering via re-alignment.

Multi-view clustering learns consistent information from multi-view data, aiming to achieve more significant clustering characteristics. However, data in real-world scenarios often exhibit temporal or spatial asynchrony, leading to views with unaligned instances. Existing methods primarily address this issue by learning transformation matrices to align unaligned instances, but this process of learning differentiable transformation matrices is cumbersome.

Impact of non-invasive ventilation on microbial colonisation patterns in preterm infants: a single-centre study.

Objective: The objective of this study is to assess the relationship between non-invasive ventilation (NIV) and the colonisation of oral and nasal microbiota in preterm infants within the neonatal intensive care unit (NICU).

Design: A prospective cohort study.

Setting: The NICU of Zhejiang University Children's Hospital.

Development and validation of a nomogram for catheter-related thrombosis prediction in children with central venous catheter: a retrospective observational study.

Background: Catheter-related thrombosis (CRT) is a thrombotic complication associated with using central venous catheters (CVCs). Although risk factors for CRT were identified in children, no nomograms or predictive tools are available for the pediatric population with CVCs. This study aimed to develop and validate a prediction model of asymptomatic CRT in children with CVCs.

A Novel Hierarchical Cross-Stream Aggregation Neural Network for Semantic Segmentation of 3-D Dental Surface Models.

Accurate teeth delineation on 3-D dental models is essential for individualized orthodontic treatment planning. Pioneering works like PointNet suggest a promising direction to conduct efficient and accurate 3-D dental model analyses in end-to-end learnable fashions. Recent studies further imply that multistream architectures to concurrently learn geometric representations from different inputs/views (e.

Machine Learning-Based Approach to Predict Last-Minute Cancellation of Pediatric Day Surgeries.

The last-minute cancellation of surgeries profoundly affects patients and their families. This research aimed to forecast these cancellations using EMR data and meteorological conditions at the time of the appointment, using a machine learning approach. We retrospectively gathered medical data from 13 440 pediatric patients slated for surgery from 2018 to 2021.

Semi-Supervised Thyroid Nodule Detection in Ultrasound Videos.

Deep learning techniques have been investigated for the computer-aided diagnosis of thyroid nodules in ultrasound images. However, most existing thyroid nodule detection methods were simply based on static ultrasound images, which cannot well explore spatial and temporal information following the clinical examination process. In this paper, we propose a novel video-based semi-supervised framework for ultrasound thyroid nodule detection.

Age of Pediatric Patients Affects Delayed Chemotherapy-Induced Vomiting.

The purpose of this study was to investigate the risk factors for delayed chemotherapy-induced vomiting (DCIV) in pediatric oncology patients. We collected data on pediatric patients from a tertiary care pediatric hospital in an Asian urban center. We analyzed the risk factors for DCIV in patients by univariate analysis and logistic regression.

Achieving excitation wavelength-power-dependent colorful luminescence multiplexing of dual lanthanides in fluorine oxide particles for multilevel anticounterfeiting.

The optical characteristics of multimode luminescent materials like multimode luminescence (photoluminescence, afterglow, thermoluminescence) and a multi-excitation source (light, thermal, mechanical force) play crucial roles in optical data storage and readout, document security and anticounterfeiting. A higher level of advanced anticounterfeiting may rely on multimode anticounterfeiting materials that can realize multicolor luminescence. Here, a highly integrated multimode and multicolor YOF:Er,Eu material is developed through multiplexing of dual lanthanides in fluorine oxide particles.

A Smartphone-Based Sensing for Portable and Sensitive Visual Detection of Hg (II) via Nitrogen Doped Carbon Quantum Dots Modified Paper Strip.

The development of portable and cost-effective sensing system for Hg quantitation is highly demanded for environmental monitoring. Herein, an on-site, rapid and portable smartphone readout device based Hg sensing system integrating nitrogen-doped carbon quantum dots (NCDs) modified paper strip was proposed, and the physicochemical properties of NCDs were characterized by high resolution TEM, FTIR, UV-vis absorption spectrum and fluorescence spectral analysis. The modified paper strip was prepared via "ink-jet" printing technology and exhibits sensitive fluorescence response to Hg with fluorescence color of bright blue (at the excitation/emission wavelength of 365/440 nm).

Recycling and Reutilization of Waste Carbon Fiber Reinforced Plastics: Current Status and Prospects.

The extensive use of carbon fiber-reinforced plastics (CFRP) in aerospace, civil engineering, and other fields has resulted in a significant amount of waste, leading to serious environmental issues. Finding appropriate methods for recycling CFRP waste and effectively reusing recycled carbon fibers (rCFs) has become a challenging task. This paper presents an overview of the current status of CFRP waste and provides a systematic review and analysis of recycling technologies.

Children's Pain Identification Based on Skin Potential Signal.

Pain management is a crucial concern in medicine, particularly in the case of children who may struggle to effectively communicate their pain. Despite the longstanding reliance on various assessment scales by medical professionals, these tools have shown limitations and subjectivity. In this paper, we present a pain assessment scheme based on skin potential signals, aiming to convert subjective pain into objective indicators for pain identification using machine learning methods.

Insights into blue-light activated red-emitting persistent luminescence from Pr-doped phosphors.

In recent years, a series of persistent luminescence materials excitable by blue light have been developed and widely used in many fields such as optical information storage, AC-LEDs, anti-counterfeiting and bio-imaging. However, it is still a long-standing challenge to develop a superior red-emitting persistent phosphor that can be efficiently excited by blue light. In this work, a novel blue-light excited red-emitting persistent phosphor CaCdGaGeO:Pr was successfully synthesized by using a solid-state method, showing excellent luminescence properties.

The effect of pulmonary rehabilitation on childhood asthma: a systematic review and meta-analysis.

Introduction: Pulmonary rehabilitation (PR) is a comprehensive nursing intervention for lung function improvement in patients with respiratory diseases. This systematic review focused on further exploration of the unclear impacts of PR on childhood asthma.

Evidence Acquisition: Web of Science, Cochrane Library, Embase, PubMed, and other databases were searched until May 2021.

Association between Overweight/Obesity and the Safety and Efficacy of COVID-19 Vaccination: A Systematic Review.

Objective: The objective of this study was to appraise the interrelation between overweight/obesity and the safety and efficacy of COVID-19 vaccination by synthesizing the currently available evidence.

Methods: A systematic review of published studies on the safety and efficacy of the COVID-19 vaccine in people who were overweight or obese was conducted. Databases including Embase, Medline Epub (Ovid), PsychInfo (Ovid), Web of Science, PubMed, CINAHL, and Google Scholar were searched to identify relevant studies.

Existential experiences and perceptions of death among children with terminal cancer: An interpretative qualitative study.

Background: Exploring the experience and understanding of death in children with terminal cancer is important to provide them with appropriate care. However, most studies have focused on the perspectives of parents and healthcare professionals, and few have focused on the end-of-life experiences of children.

Aim: To advance the understanding of end-of-life experiences and perceptions of death in children with cancer.

Toward Source-Free Cross Tissues Histopathological Cell Segmentation via Target-Specific Finetuning.

Recognition and quantitative analytics of histopathological cells are the golden standard for diagnosing multiple cancers. Despite recent advances in deep learning techniques that have been widely investigated for the automated segmentation of various types of histopathological cells, the heavy dependency on specific histopathological image types with sufficient supervised annotations, as well as the limited access to clinical data in hospitals, still pose significant challenges in the application of computer-aided diagnosis in pathology. In this paper, we focus on the model generalization of cell segmentation towards cross-tissue histopathological images.

Dynamic Slimmable Denoising Network.

Recently, tremendous human-designed and automatically searched neural networks have been applied to image denoising. However, previous works intend to handle all noisy images in a pre-defined static network architecture, which inevitably leads to high computational complexity for good denoising quality. Here, we present a dynamic slimmable denoising network (DDS-Net), a general method to achieve good denoising quality with less computational complexity, via dynamically adjusting the channel configurations of networks at test time with respect to different noisy images.

Designing a turn-on ultrasensitive fluorescent probe based on ICT-FRET for detection and bioimaging of Hypochlorous acid.

Hypochlorous acid (HClO) plays an essential role in biological systems. The characteristics of potent oxidization and short lifetime make it challenging to detect specifically from other reactive oxygen species (ROS) at cellular levels. Therefore, its detection and imaging with high selectivity and sensitivity are of great significance.

Prediction of congenital heart disease for newborns: comparative analysis of Holt-Winters exponential smoothing and autoregressive integrated moving average models.

Objective: To describe the temporal trend of the number of new congenital heart disease (CHD) cases among newborns in Jinhua from 2019 to 2020 and explored an appropriate model to fit and forecast the tendency of CHD.

Methods: Data on CHD from 2019 to 2020 was collected from a health information system. We counted the number of newborns with CHD weekly and separately used the additive Holt-Winters ES method and ARIMA model to fit and predict the number of CHD for newborns in Jinhua.

Understanding the risk factors for adverse events during exchange transfusion in neonatal hyperbilirubinemia using explainable artificial intelligence.

Objective: To understand the risk factors associated with adverse events during exchange transfusion (ET) in severe neonatal hyperbilirubinemia.

Study Design: We conducted a retrospective study of infants with hyperbilirubinemia who underwent ET within 30 days of birth from 2015 to 2020 in a children's hospital. Both traditional statistical analysis and state-of-the-art explainable artificial intelligence (XAI) were used to identify the risk factors.

Psychological needs of parents of children with complicated congenital heart disease after admitting to pediatric intensive care unit: A questionnaire study.

Background: Parents of children with complicated congenital heart disease (CHD) have different needs after surgery. Little literature reports the impact factors for psychological needs of parents of children with complicated CHD.

Aim: To investigate the status quo of the needs of parents of children after surgery for complex CHD, and analyze the influencing factors, in order to provide a theoretical basis for formulating corresponding nursing countermeasures.

Factors Affecting Family Management Among Chinese Parents of Children With Leukemia: A Multisite Study.

Background: Effective family management can improve the ability of children's families to cope with the disease. However, the family management styles of children with leukemia are unknown.

Objective: This study used a family management style framework and structural equation model to determine the direct and indirect predictors of family management of children with leukemia.

Validity of Broselow tape for estimating the weight of children in pediatric emergency: A cross-sectional study.

Objective: To assess the validity of the Broselow tape in estimating the weight of Chinese children in pediatric emergency.

Methods: A cross-sectional study was conducted in the emergency department of the Children's Hospital of Zhejiang University School of Medicine (Hangzhou, Zhejiang Province, China) in March 2022. Broselow tape was used to estimate weight and its validity was compared with the advanced child life support (APLS) method.

Geographical and Socioeconomic Factors Influence the Birth Prevalence of Congenital Heart Disease: A Population-based Cross-sectional Study in Eastern China.

Neonatal congenital heart disease (CHD) is the most common congenital anomaly. As a practical matter of people's livelihood, cardiac ultrasonography was performed on potential CHD children in 11 cities eastern China. In this study, we aimed to document the birth prevalence of CHD and its socioeconomic and geographical distribution, as supported by this public health policy.