A descriptive cross-sectional study on the cumulative frequency of pediatric procedural sedation in 0- to 3-year-old children.

Background: Recurrent illnesses and poor adherence to medical procedures render infants and young children vulnerable to procedural sedation, while repeated or prolonged exposure to anesthetic medications and sedative drugs may potentially exert adverse effects on the developing brain.

Objective: To investigate the distribution of cumulative frequency and the use of general anesthetic drugs in pediatric procedural sedation for children aged 0 to 3 years.

Methods: The records of all children treated in the Sedation Clinic of the Children's Medical Center of our university in November 2021 were extracted as the sample.

Ultrasonic-Based Radiomics Signature With Machine Learning for Differentiating Prognostic Subsets of Pediatric Peripheral Neuroblastic Tumors: A Retrospective Study.

Objective: To construct and select a better model based on ultrasonic-based radiomics features and clinical characteristics for prognostic subsets of pediatric neuroblastic tumors.

Methods: Data from 73 children with neuroblastic tumors were included and divided into a training group and a validation group. Data 1 contained the subjects' radiomics features and clinical characteristics, while data 2 contained radiomics features.

Electrooxidation of Ethylene Glycol to Glycolic Acid with Pt-Ni(OH) Catalysts: High Efficiency and Selectivity for PET Plastics Upgrading.

The electroconversion of polyethylene terephthalate (PET) into C2 fine chemicals and hydrogen (H) presents a promising solution for advancing the circular plastics economy. In this study, we report the electrooxidation of ethylene glycol (EG) to glycolic acid (GA) using a Pt-Ni(OH) catalyst, achieving a high Faraday efficiency (>90 %) even at high current densities (250 mA cm at 0.8 V vs.

The superior value of radiomics to sonographic assessment for ultrasound-based evaluation of extrathyroidal extension in papillary thyroid carcinoma: a retrospective study.

Background: Extrathyroidal extension was related with worse survival for patients with papillary thyroid carcinoma. For its preoperative evaluation, we measured and compared the predicting value of sonographic method and ultrasonic radiomics method in nodules of papillary thyroid carcinoma.

Patients And Methods: Data from 337 nodules were included and divided into training group and validation group.

Gastrointestinal contrast-enhanced ultrasonography for diagnosis and treatment of peptic ulcer in children.

Background: The detection rate of peptic ulcer in children is improving, with development of diagnostic procedures. Gastroscopy is the gold standard for the diagnosis of peptic ulcer, but it is an invasive procedure. Gastrointestinal contrast-enhanced ultrasonography (CEUS) has the advantages of being painless, noninvasive, nonradioactive, easy to use, and safe.

MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentation.

Accurate segmentation of the thyroid gland in ultrasound images is an essential initial step in distinguishing between benign and malignant nodules, thus facilitating early diagnosis. Most existing deep learning-based methods to segment thyroid nodules are learned from only a single view or two views, which limits the performance of segmenting nodules at different scales in complex ultrasound scanning environments. To address this limitation, this study proposes a multi-view learning model, abbreviated as MLMSeg.

A knowledge-interpretable multi-task learning framework for automated thyroid nodule diagnosis in ultrasound videos.

Ultrasound has become the most widely used modality for thyroid nodule diagnosis, due to its portability, real-time feedback, lack of toxicity, and low cost. Recently, the computer-aided diagnosis (CAD) of thyroid nodules has attracted significant attention. However, most existing techniques can only be applied to either static images with prominent features (manually selected from scanning videos) or rely on 'black boxes' that cannot provide interpretable results.

High temperature can improve the performance of invasive plants by facilitating root growth.

Premise: The ever-increasing temperatures of the Anthropocene may facilitate plant invasions. To date, studies of temperature effects on alien plants have mainly focused on aboveground plant traits but ignored belowground traits, which may confound predictions of plant invasion risks.

Methods: The temperature effects on the root growth dynamics of two alien shrubs, invasive Mimosa sepiaria and naturalized Corchorus capsulari, were studied using a 3D, transparent growth system under five temperature treatments (day/night: 18°C/13°C to 34°C/29°C) that cover the present and future warming temperature scenarios in China.

Interfacial Assembly of Nanocrystals on Nanofibers with Strong Interaction for Electrocatalytic Nitrate Reduction.

One-dimensional fiber architecture serves as an excellent catalyst support. The orderly arrangement of active materials on such a fiber substrate can enhance catalytic performance by exposing more active sites and facilitating mass diffusion; however, this remains a challenge. We developed an interfacial assembly strategy for the orderly distribution of metal nanocrystals on different fiber substrates to optimize their electrocatalytic performance.

[Practical Application of Body Mechanics Principles in the Process of Health Workers Doffing Personal Protective Equipment].

Objective: To examine the application effect of body mechanics principles in the process of health workers doffing personal protective equipment (PPE).

Methods: A total of 360 health workers from a Fangcang shelter hospital, also known as alternate care site, in Shanghai were involved in a centralized 1-day training concerning essential skills for taking off PPE. The training was focused on integrating body mechanics principles, including expanding the support surface, lowering the center of gravity, reducing the shift in the the center of gravity, using the principle of leverage, and creating the appropriate operating space, in the PPE doffing process.

Modulating the Active Hydrogen Adsorption on Fe─N Interface for Boosted Electrocatalytic Nitrate Reduction with Ultra-Long Stability.

The electrocatalytic reduction of nitrate (NO ) to nitrogen (N ) is an environmentally friendly approach for efficient N-cycle management (toward a nitrogen-neutral cycle). However, poor catalyst durability and the competitive hydrogen evolution reaction significantly impede its practical application. Interface-chemistry engineering, utilizing the close relationship between the catalyst surface/interface microenvironment and electron/proton transfer process, has facilitated the development of catalysts with high intrinsic activity and physicochemical durability.

A Membrane-Free Decoupled Water Electrolyzer Operating at Simulated Fluctuating Renewables with Tri-Functional NiCo-P Electrode.

Water electrolysis has been considered a promising technology for the conversion of renewables to hydrogen. However, preventing mixing of products (H and O ) and exploring cost-efficient electrolysis components remains challenging for conventional water electrolyzers. Herein, we designed a membrane-free decoupled water electrolysis system by using graphite felt supported nickel-cobalt phosphate (GF@Ni Co -P) material as a tri-functional (redox mediator, hydrogen evolution reaction (HER), oxygen evolution reaction (OER)) electrode.

Differential expression and significance of 5-hydroxymethylcytosine modification in hepatitis B virus carriers and patients with liver cirrhosis and liver cancer.

Background: The relationship between hepatitis B surface antigen (HBsAg)-positive carrier status and liver cancer has been extensively studied. However, the epigenetic changes that occur during progression from HBsAg-positive carrier status or cirrhosis to liver cancer are unknown. The epigenetic modification of DNA hydroxymethylation is critical in tumor development.

Efficacy and safety of erector spinae plane block for postoperative analgesia in breast cancer surgery-A systematic review and meta-analysis.

Background And Objectives: We aim to evaluate the analgesic efficacy and safety of erector spinae plane block (ESPB) for postoperative analgesia in breast cancer surgeries.

Methods: PubMed, Web of Science, CBM, Embase, Cochrane, Wanfang, VIPP, and CNKI were searched to identify published eligible randomized controlled trials. The primary results were the postoperative 24 h morphine consumption and pain scores, while the secondary outcomes included pain scores at other times, press times of patient-controlled intravenous analgesia (PCIA), times to request for first rescue analgesia, the incidence of request for rescue analgesia, opioid-related complications, nerve blocks related complications and patient satisfaction.

Spatio-temporal variations, spatial spillover, and driving factors of carbon emission efficiency in RCEP members under the background of carbon neutrality.

Improving carbon emission efficiency (CEE) has emerged as a critical way for Regional Comprehensive Economic Partnership (RCEP) members to promote carbon reduction in the context of climate change mitigation and carbon neutrality. The super-efficiency slacks-based measure (SBM) model, which considers non-desired outputs, is adopted to comprehensively assess the current state and trend of CEE in 15 RCEP countries from a spatio-temporal dynamic perspective, and the global Malmquist-Luenberger (GML) index is coupled to quantify the spatial and temporal differences and dynamic changes. Following that, taking into account the spatial characteristics of CEE, the extended STIRPAT model and the spatial Durbin model are combined to further investigate the primary influencing factors of CEE.

Iron Nanoparticles Protected by Chainmail-structured Graphene for Durable Electrocatalytic Nitrate Reduction to Nitrogen.

The electrochemical nitrate reduction reaction (NO RR) is an appealing technology for regulating the nitrogen cycle. Metallic iron is one of the well-known electrocatalysts for NO RR, but it suffers from poor durability due to leaching and oxidation of iron during the electrocatalytic process. In this work, a graphene-nanochainmail-protected iron nanoparticle (Fe@Gnc) electrocatalyst is reported.

The diagnostic value of ultrasound in pediatric testicular torsion with preserved flow.

Background: Testicular torsion is the reduction of blood flow to the testis after spermatic cord torsion. For patients, the diagnosis of testicular torsion is controversial and complicated by the fact that ultrasound blood flow signals are not significantly reduced in comparison to the unaffected, healthy, testis, despite persistent symptoms on the affected side. Our study aims to investigate the diagnostic characteristics of high-resolution ultrasonography (US) in pediatric testicular torsion with the preserved flow to increase diagnostic accuracy.

Iron-Based Nanocatalysts for Electrochemical Nitrate Reduction.

Nitrate has a high level of stability and persistence in water, endangering human health and aquatic ecosystems. Due to its high reliability and efficiency, the electrochemical nitrate reduction reaction (NO RR) is regarded as the best available option for mitigating excess nitrate in water and wastewater, especially for the removal of trace levels of nitrate. One of the most critical factors in the electrochemical reduction are the catalysts, which directly affect the reaction efficiency of nitrate removal.

Serum CHI3L1 as a diagnostic marker and risk factor for liver fibrosis in HBeAg-negative chronic hepatitis B.

Chronic hepatitis B (CHB) as the major inducement of hepatocellular carcinoma and cirrhosis, imposes a heavy health burden upon patients. This research aims to investigate the diagnostic value of serum chitinase 3-like 1 (CHI3L1) in hepatitis B e antigen (HBeAg)-negative CHB liver fibrosis (LF) and to analyze the risk factors. We selected 78 patients with HBeAg-negative CHB admitted to our hospital between October 2018 and October 2019, and grouped them (F group, n=38; F group, n=40) based on their stages evaluated by the METAVIR scoring system.

Analysis of coordination between urban compactness and green total factor energy efficiency: a case study of 35 cities in China.

Rapid urban expansion and energy transformation are two major challenges facing China. Many researchers have explored urban compactness and energy efficiency, but there is little literature on the coordinated development of the two. Therefore, this paper takes 35 cities in China as research object: The urban compactness evaluation index system is established, and the score is calculated using the entropy weight method; considering the bad output, SBM is used to calculate the green total factor energy efficiency (GTFEE); and the coupling coordination degree model is used to calculate their coordinated degree.

Deep learning-based ultrasonic dynamic video detection and segmentation of thyroid gland and its surrounding cervical soft tissues.

Background: The prevalence of thyroid diseases has been increasing year by year. In this study, we established and validated a deep learning method (Cascade region-based convolutional neural network, R-CNN) based on ultrasound videos for automatic detection and segmentation of the thyroid gland and its surrounding tissues in order to reduce the workload of radiologists and improve the detection and diagnosis rate of thyroid disease.

Methods: Seventy-one patients with normal thyroid ultrasound were included.

Diagnostic performance of US-based FNAB criteria of the 2020 Chinese guideline for malignant thyroid nodules: comparison with the 2017 American College of Radiology guideline, the 2015 American Thyroid Association guideline, and the 2016 Korean Thyroid Association guideline.

Background: To investigate the diagnostic performance of the ultrasonography-based fine-needle aspiration biopsy criteria of the Chinese Thyroid Imaging Reporting and Data System (C-TIRADS) for malignant nodules compared to 3 other guidelines.

Methods: This study included 2,309 thyroid nodules in 1,697 patients with histopathological and cytopathological diagnoses of benign and malignant nodules from January 2018 to August 2020. The clinical and ultrasonographic features of the nodules were retrospectively reviewed and classified according to the Chinese guideline (C-TIRADS), the American College of Radiology guideline (ACR-TIRADS), the American Thyroid Association guideline (ATA guideline), and the Korean Thyroid Association guideline (K-TIRADS).

Synergy between copper and iron sites inside carbon nanofibers for superior electrocatalytic denitrification.

Developing low-cost electrocatalysts for the nitrate reduction reaction (NORR) with superior performance is of great significance for wastewater treatment. Herein, we synthesized bimetal Cu/Fe nanoparticles encased in N-doped carbon nanofibers (Cu/Fe@NCNFs) through simple electrospinning followed by a pyrolysis reduction strategy. Metallic copper is beneficial for reducing nitrate to nitrite, and the existence of Fe is conducive to convert nitrate and nitrite into nitrogen.

The Error-Prone Operational Steps and Key Sites of Self-Contamination During Donning and Doffing of Personal Protective Equipment by Health Care Workers.

Objective: This study aims to identify error-prone operational steps and key sites of self-contamination during donning and doffing of personal protective equipment (PPE).

Methods: A total of 56 health care workers, including 37 nurses and 19 physicians, were recruited to don and doff the PPE recommended by the Chinese Center for Disease Control and Prevention. Operational errors and sites of self-contamination were recorded using UV-fluorescent labeling and video surveillance.