Genome-wide analyses of the NAC transcription factor gene family in provide valuable insights into the natural process of leaf senescence.

is a deciduous shrub or small tree. It is a popular ornamental plant because of its beautiful leaves, which change colour in autumn. This study revealed 116 genes within the genome of .

In Situ Self-Assembled Naringin/ZIF-8 Nanoparticle-Embedded Bacterial Cellulose Sponges for Infected Diabetic Wound Healing.

The treatment of diabetic foot ulcers (DFUs) represents a significant challenge due to the complexity of the wound microenvironment. Several factors, including infection, inflammation, and impaired angiogenesis, can complicate the healing process and reduce the effectiveness of current clinical treatments. To address these challenges, this work develops a multifunctional sponge containing a zeolitic imidazolate framework-8/bacterial cellulose (ZIF-8/BC) matrix loaded with the antioxidant naringin (Nar).

An ensemble multi-dimensional randomization network for intelligent recognition of tobacco baking stage.

In recent years, image processing technology has been increasingly studied on intelligent unmanned platforms, and the differences in the shooting environment during tobacco baking pose challenges to image processing algorithms. To address this problem, an ensemble multi-dimensional randomization network (EMRNet) for intelligent recognition of tobacco baking stage is proposed. The first is to obtain the tobacco leaf area during the baking process.

Machine Learning for In-hospital Mortality Prediction in Critically Ill Patients With Acute Heart Failure: A Retrospective Analysis Based on the MIMIC-IV Database.

Background: The incidence, mortality, and readmission rates for acute heart failure (AHF) are high, and the in-hospital mortality for AHF patients in the intensive care unit (ICU) is higher. However, there is currently no method to accurately predict the mortality of AHF patients.

Methods: The Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) database was used to perform a retrospective study.

Research on Downhole MTATBOT Positioning and Autonomous Driving Strategies Based on Odometer-Assisted Inertial Measurement.

In response to the current situation of backward automation levels, heavy labor intensities, and high accident rates in the underground coal mine auxiliary transportation system, the mining trackless auxiliary transportation robot (MTATBOT) is presented in this paper. The MTATBOT is specially designed for long-range, space-constrained, and explosion-proof underground coal mine environments. With an onboard perception and autopilot system, the MTATBOT can perform automated and unmanned subterranean material transportation.

Maintenance of Bodily Expressions Modulates Functional Connectivity Between Prefrontal Cortex and Extrastriate Body Area During Working Memory Processing.

As a form of visual input, bodily expressions can be maintained and manipulated in visual working memory (VWM) over a short period of time. While the prefrontal cortex (PFC) plays an indispensable role in top-down control, it remains largely unclear whether this region also modulates the VWM storage of bodily expressions during a delay period. Therefore, the two primary goals of this study were to examine whether the emotional bodies would elicit heightened brain activity among areas such as the PFC and extrastriate body area (EBA) and whether the emotional effects subsequently modulate the functional connectivity patterns for active maintenance during delay periods.

Novel carbon dots with dual Modulatory effects on the bone marrow and spleen as a potential therapeutic candidate for treating spinal cord injury.

Spinal cord injury triggers leukocyte mobilization from the peripheral circulation to the injury site, exacerbating spinal cord damage. Simultaneously, bone marrow hematopoietic stem cells (HSCs) and splenic leukocytes rapidly mobilize to replenish the depleted peripheral blood leukocyte pool. However, current treatments for spinal cord injuries overlook interventions targeting peripheral immune organs and tissues, highlighting the need to develop novel drugs capable of effectively regulating peripheral immunity and treating spinal cord injuries.

Machine learning based identification of an amino acid metabolism related signature for predicting prognosis and immune microenvironment in pancreatic cancer.

Background: Pancreatic cancer is a highly aggressive neoplasm characterized by poor diagnosis. Amino acids play a prominent role in the occurrence and progression of pancreatic cancer as essential building blocks for protein synthesis and key regulators of cellular metabolism. Understanding the interplay between pancreatic cancer and amino acid metabolism offers potential avenues for improving patient clinical outcomes.

Immune Subtypes in Sepsis: A Retrospective Cohort Study Utilizing Clustering Methodology.

Background: Sepsis is a heterogeneous clinical syndrome. Identifying distinct clinical phenotypes may enable more targeted therapeutic interventions and improve patient care.

Objective: This study aims to use clustering analysis techniques to identify different immune subtypes in sepsis patients and explore their clinical relevance and prognosis.

Immunosuppressant nonadherence profile in kidney transplant recipients and the impact of medication adherence on transplant outcomes.

Background: Despite the fact that 1-year graft and recipient survival rates are above 90% in most transplant centers, improving long-term graft survival remains an important challenge. Immunosuppressant nonadherence has been recognized as one of the important risk factors for long-term graft failure. Understanding the modifiable correlates and risk factors for medication non-adherence is essential to develop interventions to improve adherence and thus long-term transplantation outcomes.

Removal of liquid scintillator exudates by the metal organic frameworks materials: The role of functional groups.

The leakage of Liquid scintillator exudates has brought potential harm to the environment. Attributed to the large specific surface area and high modifiability, high-performance adsorbents based on metal-organic frameworks (MOFs) can effectively remove organic pollutants. In this work, we use different functional groups to prepare the material of UIO-66(Zr).

Transcoronary study of biomarkers in patients with heart failure: Insights into intracardiac production.

Aims: Biomarkers are pivotal in the management of heart failure (HF); however, their lack of cardiac specificity could limit clinical utility. This study aimed to investigate the transcoronary changes and intracardiac production of these biomarkers.

Methods: Transcoronary gradients for B-type natriuretic peptide (BNP) and five novel biomarkers-galectin-3 (Gal-3), soluble suppression of tumourigenicity 2 (sST2), tissue inhibitor of metalloproteinase 1 (TIMP-1), growth differentiation factor 15 (GDF-15) and myeloperoxidase (MPO)-were determined using femoral artery (FA) and coronary sinus (CS) samples from 30 HF patients and 10 non-HF controls.

Chinese guidelines for ultrasound-guided thermal ablation of thyroid nodules (2024 Edition).

The Chinese Guidelines for Ultrasound-guided Thermal Ablation of Thyroid Nodules (2024 edition) were jointly initiated by the Ultrasound Committee of Chinese Medical Association, the Interventional Ultrasound Committee of Chinese Association of Ultrasound in Medicine and Engineering, the Ultrasonic Intervention Committee of Chinese Colleges of Interventionalists, the Oncological Intervention Committee of Chinese Research Hospital Association, 37 multidisciplinary experts in interventional ultrasound, ultrasound medicine, endocrinology and thyroid surgery participated in the compilation of this guide, which expanded the depth and breadth of the perspective and enhanced the authority of the guide. Based on the systematic review of literatures related to ultrasound-guided thermal ablation of thyroid nodules and the professional opinions of experts, the guidelines define the indications and contraindications of thermal ablation, including pre-ablation evaluation and preparation, thermal ablation techniques and operational procedures, post-ablation follow-up, therapeutic effect evaluation, complications prevention and treatment, and the writing of medical documents for ablation. According to the Grading of Recommendations Assessment, Development and Evaluation (GRADE), a total of 17 objective and comprehensive recommendations were given.

Evaluating the efficacy of sequential cross-sectional scanning and combined teaching methods for prenatal screening of fetal conotruncal anomalies.

Objective: This study aimed to explore the effectiveness of combining fetal heart sequential cross-sectional scanning with drawing methods, mind mapping, and case-based learning (CBL) for training in fetal conotruncal anomalies (CA) screening.

Method: An experimental control method was employed. Doctors participating in continuing fetal ultrasound education were randomly divided into two groups.

Direct Implementation of MS Using Frequency Scanning Collision Induced Dissociation in a Digital Ion Trap Mass Spectrometer.

Tandem mass spectrometry (MS) is one of the most effective methods to obtain the structures of organic molecules, enabling the observation of multigenerational ion fragments. Collision-induced dissociation (CID) is currently the most mature technique for mass spectrometry analysis. Ion trap mass spectrometry (ITMS) is favored for on-site detection field, due to its ability of MS analysis with a single trap and its small size.

Specific hydroxylation and glucuronidation of 2'-hydroxyflavanone by Streptomyces coeruleorubidus NRRL B-2569.

Flavonoids constitute a class of natural compounds with varied bioactivities. Nevertheless, the potential health benefits of flavonoids for humans are often compromised by their low water solubility and limited bioavailability. In this study, four derivatives, namely 2',5'-dihydroxyflavanone (2), 5'-dihydroxyflavone-2'-O-β-d-glucuronide (3), and two isomers of hydroxyflavanone-2'-O-β-d-glucuronide (4 and 5), were biosynthesized from substrate 2'-hydroxyflavanone (1) through the specific hydroxylation and glucuronidation using Streptomyces coeruleorubidus NRRL B-2569.

Lung cancer incidence and mortality in trend and prediction between 2012-2030 in Shandong Province, using a Bayesian age-period-cohort model.

Objectives: Lung cancer is one of the most common cancers in Shandong Province, China. Projecting future cancer trend is crucial for planning cancer control. We aimed to examine the trend of lung cancer incidence and mortality from 2012 to 2023, and predict the lung cancer burden to 2030 in Shandong.

Preoperative assessment of tertiary lymphoid structures in stage I lung adenocarcinoma using CT radiomics: a multicenter retrospective cohort study.

Objective: To develop a multimodal predictive model, Radiomics Integrated TLSs System (RAITS), based on preoperative CT radiomic features for the identification of TLSs in stage I lung adenocarcinoma patients and to evaluate its potential in prognosis stratification and guiding personalized treatment.

Methods: The most recent preoperative chest CT thin-slice scans and postoperative hematoxylin and eosin-stained pathology sections of patients diagnosed with stage I LUAD were retrospectively collected. Tumor segmentation was achieved using an automatic virtual adversarial training segmentation algorithm based on a three-dimensional U-shape convolutional neural network (3D U-Net).

Identify unmet needs in diabetes care in Shandong, China: a secondary analysis of a cross-sectional study using cascade of care framework.

Background: The continuum management of diabetes remains under-evaluated in China. This study aimed to estimate the proportions of diabetes adults at each stage of the cascade of care framework in Shandong, China.

Methods: We conducted a secondary analysis using the 2018 China Adult Chronic Disease and Nutrition Surveillance (CACDNS) data in Shandong.

Effects of intravenous anesthesia and inhalation anesthesia on postoperative inflammatory markers in patients with esophageal cancer: a retrospective study.

Background: Inflammatory markers have been confirmed to be associated with the prognosis of cancer patients. In this study, we compared the impacts of intravenous anesthesia and inhalation anesthesia on the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), and the systemic immune-inflammation index (SII) after esophageal cancer surgery.

Methods: We retrospectively reviewed the electronic medical records of patients who underwent esophagectomy from January 1, 2014 to December 31, 2016.

Noncontrast MRI-based machine learning and radiomics signature can predict the severity of primary lower limb lymphedema.

Objective: According to International Lymphology Society guidelines, the severity of lymphedema is determined by the difference in volume between the affected limb and the healthy side divided by the volume of the healthy side. However, this method of measuring volume is time consuming, laborious, and has certain errors in clinical applications. Therefore, this study aims to explore whether machine learning radiomics features based on noncontrast magnetic resonance imaging (MRI) can predict the severity of primary lower limb lymphedema.

Anti-Bacterial and Anti-Biofilm Activities of Essential Oil from Blanco cv. Tankan Peel Against .

In recent years, plant essential oils have been confirmed as natural inhibitors of foodborne pathogens. Blanco cv. Tankan peel essential oil (CPEO) showed anti- (LM) activities, and this study investigated the associated mechanisms by using high-resolution electron microscope, fluorescence spectrometer, flow cytometer, potentiometer, and transcriptome sequencing.