A machine learning model for predicting the probability of hypothermia in trauma patients: a multi-center retrospective cohort study.

Hypothermia, a component of the "lethal triad," commonly complicates the condition of critically injured trauma patients, thereby substantially elevating the risk of mortality. This study develop and evaluate a dynamic warning system based on non-invasive features, aimed at predicting the likelihood of hypothermia occurring in trauma patients within the next hour. 462 patients from the eICU database were selected on the basis of meeting the inclusion criteria, and 19 non-invasive and 17 invasive features were extracted.

Stable manipulating objects with unknown surface morphology via integration of magnetic artificial muscle and adhesive structures.

Compared with conventional manipulating methods, such as vacuum suction, electromagnetic adsorption, and mechanical clamping, gecko-inspired adhesives possess the ability of attaching on various surfaces with extensive applications in space operation, industrial manufacturing, etc. However, adhesive structures with high adhesion on one certain surface may lose their adhesive performance when gripping another surface. Achieving a good adhesion on objects with unknown surface morphology in a simple way is still a great challenge for gecko-inspired adhesives.

Paper-based and chemical-free dual low-cost electrochemical biosensor for rapid detection of Escherichia coli O157:H7.

A low-cost electrical assay is reported using a paper-based electrochemical biosensor modified with carboxylated graphene oxide (GO-COOH), which is capable of directly immobilizing antibodies without chemical cross-linkers and is promising for the rapid detection of Escherichia coli (E. coli) O157:H7 in low-income areas. Antibodies were immobilized on the surface of the GO-COOH/C electrode at appropriate concentrations to directly and specifically capture targets.

Real-time prediction of HFNC treatment failure in acute hypoxemic respiratory failure using machine learning.

Accurate and timely prediction of high-flow nasal cannula (HFNC) treatment failure in patients with acute hypoxemic respiratory failure (AHRF) can lower patient mortality. Previous studies have highlighted inconsistencies in the predictive performance of existing indices, such as ROX and mROX, which are limited by their reliance on oxygenation parameters alone. To address this, we developed a machine learning-based predictive model using temporal data from AHRF patients, aimed at facilitating quicker development of individualized treatment plans and intervention strategies for healthcare professionals.

Deep learning-based analysis and identification of single-particle mass spectra of bacteria.

Single-particle mass spectrometry (SPMS) has the potential to identify bacterial species. However, this crucial topic has received limited attention in research. This investigation aims to fill this gap by combining SPMS with supervised learning algorithms to distinguish six bacterial species.

Use video comprehension technology to diagnose ultrasound pneumothorax like a doctor would.

Introduction: Emergency rescue scenes and pre-hospital emergency stages commonly encounter trauma victims. Life-saving measures must be taken at the scene if a trauma patient has pneumothorax; if the patient is not evaluated and diagnosed right away, their life may be in jeopardy. Ultrasound, which has the advantages of being non-invasive, non-radioactive, portable, rapid, and repeatable, can be used to diagnose pneumothorax.

Chitosan sponge doped with high-yield microporous carbon nanospheres for rapid hemostasis.

Rapid and effective hemostasis can immediately control blood loss and prevent fatal complications. Chitosan sponge loaded with carbon nanospheres PC-800 for rapid hemostasis was first reported here. Preparation process is simple, green and low-cost.

Influence of Exposure Time and Driving Frequency on Cytotoxicity in In Vitro Ultrasound With Constant Mechanical Indices.

Sonochemistry has become increasingly important in bioengineering research, and many in vitro and in vivo bioapplications have been developed. Cytotoxicity is always a concern in its implementation. For in vivo treatments and studies, mechanical index (MI) is known to ensure biocompatibility, and even in vitro MI has been used.

Leaf-inspired MXene@nanocellulose aerogel composite cotton fabric for long-lasting infrared camouflage and personal thermal management.

MXene materials show great promise for applications in infrared camouflage and personal thermal management. However, the low mechanical strength and high thermal conductivity of macroscopically assembled MXene membranes hinder their further development. Inspired by the microstructure of tree leaves, we developed a biomimetic MXene@nanocellulose aerogel composite cotton fabric that leverages MXene's inherent oxygen-containing groups for compositing.

Patient Perspectives on Delayed Specialty Follow-Up After a Primary Care Visit.

Background: Patients are often referred for important diagnostic tests or consultations after a concerning symptom or finding is identified at a primary care visit, but many referrals are delayed or not completed.

Methods: In this qualitative study, we reviewed electronic health record data to identify patients who did not have timely completion of a recommended referral at an academic primary care hospital-based practice and an affiliated community health center. Using semistructured interview guides, we interviewed 15 patients who did not complete a cardiac stress test within 28 days of a primary care visit associated with a diagnosis of chest pain, and 15 patients who did not complete a dermatology referral within 90 days of identification of a concerning skin lesion.

Theoretical and experimental research on long life prediction of the locking system of the space station docking mechanism.

This paper conducts theoretical and experimental research on the docking lock of the space station docking mechanism, aiming to predict its long-term service life. By analyzing the working principle and load transmission path of the docking lock, a theoretical model based on the material performance degradation mechanism is established, and the life degradation equation of key components under service conditions is derived. Additionally, accelerated performance degradation tests with temperature as the accelerated stress were conducted to validate the accuracy of the theoretical model.

Selectively oxidized chitin as a degradable and biocompatible hemostat for uncontrolled bleeding and wound healing.

Chitin (CT), one of the most abundant biopolymers, is insoluble in both dilute aqueous solutions and common organic solvents. In traditional hemostatic applications, chitin must be either converted into acid-soluble chitosan by removing acetyl groups or dissolved in an alkaline aqueous solution at -20 °C. However, acetyl groups are more advantageous than amino groups in promoting hemostasis, biocompatibility, biodegradability, and wound healing.

A Fine-grained Hemispheric Asymmetry Network for accurate and interpretable EEG-based emotion classification.

In this work, we propose a Fine-grained Hemispheric Asymmetry Network (FG-HANet), an end-to-end deep learning model that leverages hemispheric asymmetry features within 2-Hz narrow frequency bands for accurate and interpretable emotion classification over raw EEG data. In particular, the FG-HANet extracts features not only from original inputs but also from their mirrored versions, and applies Finite Impulse Response (FIR) filters at a granularity as fine as 2-Hz to acquire fine-grained spectral information. Furthermore, to guarantee sufficient attention to hemispheric asymmetry features, we tailor a three-stage training pipeline for the FG-HANet to further boost its performance.

Enhanced physicochemical characteristics and biological activities of low-temperature ethylenediamine/urea pretreated lignin.

Low-temperature ethylenediamine (EDA)/urea pretreatment had been demonstrated to be an efficient pretreatment method for enzymatic hydrolysis and bioethanol production. For high-value utilization of the third main components of lignocellulosic biomass, the physicochemical structure characteristics and biological activities of low-temperature EDA/urea pretreated lignin (EUL) were comprehensively investigated in the present study. The results demonstrated that the pretreatment process facilitated the depolymerization of lignin, resulting in notable reduction in molecular weight and polydispersity index from 2.

Optimized single-bath dyeing of bio-based nylon 56/cotton blends with vat dyes: Mechanistic insights and process enhancements.

Nylon 56/cotton (N/C) blended fabrics have excellent durability and can cater to various clothing needs. However, the quality and value of textile garments are significantly influenced by the dyeing process. Due to variations in the structure and characteristics of nylon 56 and cotton fibers in blended fabrics, achieving consistent coloration is challenging, resulting in noticeable color discrepancies.

Smart chitosan-based nanofibers for real-time monitoring and promotion of wound healing.

Timely healing of acute wounds and stopping wound chronicity are current and future priorities in wound therapy. It is urgent and relevant to develop a wound dressing that has antimicrobial and monitors the wound microenvironment in real time. In this study, quaternary ammonium chitosan (HTCC) was selected as the antimicrobial agent and CS/PEO/HTCC nanofiber membranes (CPHs) were prepared by electrostatic spinning technique.

One-step fabrication of a novel fiber-based absorber for flexible, tunable and boosted microwave absorption.

The increasingly intricate electromagnetic environment necessitates higher anti-electromagnetic interference capabilities for electronic devices, thereby demanding a flexible absorbing material that can adapt to multiple forms, is lightweight, and exhibits excellent electromagnetic wave (EMW) absorption properties. In this study, we have developed a novel flexible absorbing material (FAM) based on glass-coated amorphous magnetic fibers (SFs) and Dallenbach-like absorbing structures through wet forming technology. By combining high-performance absorbing fiber with textile structures, the FAM demonstrates EMW absorption performance along with lightweight flexibility and shape adaptability.

Flavonoids from mulberry leaves exhibit sleep-improving effects via regulating GABA and 5-HT receptors.

Ethnopharmacological Relevance: Mulberry leaf (Folium Mori) is a dried leaf of the dicotyledonous mulberry tree and is a homologous food and medicine. Treating insomnia with it is a common practice in traditional Chinese medicine. But still, its potential sleep-improving mechanism remains to be elucidated.

Radiation protection of sodium alginate and its regulatory effect on intestinal microflora in mice.

Prolonged or high-dose exposure to ionizing radiation (IR) can cause damage to normal tissues of the body. Therefore, it is imperative to find effective radiation protective agents to mitigate IR-induced damage. This study evaluated the effects of sodium alginate (SA) on the radiation protection and modulatory effects of gut microorganisms using a Coγ-induced damage model in mice.

MEEAFusion: Multi-Scale Edge Enhancement and Joint Attention Mechanism Based Infrared and Visible Image Fusion.

Infrared and visible image fusion can integrate rich edge details and salient infrared targets, resulting in high-quality images suitable for advanced tasks. However, most available algorithms struggle to fully extract detailed features and overlook the interaction of complementary features across different modal images during the feature fusion process. To address this gap, this study presents a novel fusion method based on multi-scale edge enhancement and a joint attention mechanism (MEEAFusion).

Sleep-improving effect and the potential mechanism of Morus alba L. on mice.

As insufficient sleep has become a widespread concern in modern society, potential sleep-improving effect of mulberry (Morus alba L.) leaf ethanol extract (MLE) and the related mechanism were investigated in the present study. According to the results, MLE could significantly shorten sleep latency by 33 %, extend sleep duration by 56 % and increase sleep ratio of mice through increasing 5-HT and GABA release in serum, hypothalamus and hippocampus.

Incidence, Recognition, and Follow-up of Laboratory Evidence of Acute Kidney Injury in Primary Care Practices: Analysis of 93,259 Creatinine Results.

Background: Community-acquired acute kidney injury (CA-acute kidney injury) is under-recognized in the outpatient setting and is associated with adverse outcomes.

Methods: We analyzed the incidence of CA-acute kidney injury in an academic primary care practice and community health center and assessed recognition and follow-up as determined by repeat creatinine measurement (closed-loop). We reviewed 93,259 specimens for 36,593 unique patients from January 1, 2018, through December 31, 2021.

[Research progress on the application of artificial intelligence in the early diagnosis and treatment of burn diseases].

Artificial intelligence (AI) technology is advancing rapidly, constantly presenting its application value and broad prospects in the medical field. Especially in the early intervention of burn diseases, the new developments, applications, and challenges of AI technology have a significant impact on the clinical outcomes of burn patients. Based on this, this article reviews the concept, classification, learning style, and application of AI in the early diagnosis and treatment of burn diseases, with a focus on discussing the challenges and suggestions of the application of AI technology in the medical field, in order to provide reference and suggestions for the better application of AI in the early diagnosis and treatment of burn diseases.