A Programmatic Approach to En Bloc Transurethral Enucleation of the Prostate with Bipolar System: A Single-Center Retrospective Report.

Introduction: This study presents a systematic approach for en bloc transurethral enucleation of the prostate utilizing a bipolar system (TUEB), evaluating its effectiveness and safety. Furthermore, the research aims to pinpoint risk factors contributing to early stress urinary incontinence (SUI) after undergoing en bloc TUEB.

Methods: The en bloc TUEB procedure is visually demonstrated through images and videos.

Quantitative Analysis of Complex Aluminum Electrolytes by X-Ray Fluorescence.

The future production of electrolytic aluminum will be characterized by low temperature, low carbon emissions, and environmental friendliness, which will result in a more complex electrolyte system. Real-time analysis of electrolytes can significantly enhance the efficiency of the electrolytic process. However, accurately analyzing the composition of complex aluminum electrolytes online has been a technical challenge.

Neisseria Gonorrhoeae Based on Recombinase Polymerase Amplification Technology Establishment of Detection Method.

Background: Recombinase polymerase amplification (RPA) is a novel nucleic acid isothermal amplification technique that can achieve rapid detection of the target, under 37 to 42°C conditions, within 30 minutes. It has the advantage of extreme sensitivity, strong specificity, and low instrument dependency and is particularly suitable for real-time detection in the field. It can be widely used in fields such as in vitro diagnostics, biosafety, and agriculture.

cba-miR-222-3p involved in photoperiod-induced apoptosis in testes of striped hamsters by targeting TRAF7.

The role of miRNAs in the regulation of seasonal reproduction in rodents, particularly in relation to photoperiod changes, is still poorly understood. Previous studies on miRNA transcriptomes of striped hamster (Cricetulus barabensis) testes have indicated that the photoperiodism of testes, especially apoptosis, may be influenced by miRNAs. As a functional miRNA, cba-miR-222-3p in striped hamster testes exhibits suppression under a short photoperiod.

Correction: Yang et al. Genome-Wide Identification and Expression Analysis of the Class III Peroxidase Gene Family under Abiotic Stresses in Litchi ( Sonn.). 2024, , 5804.

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Multi-scale analysis of urban forests and socioeconomic patterns in a desert city, Phoenix, Arizona.

Understanding the relationship between various socioeconomic factors and urban forest structure is essential for directing resources to ensure equitable distribution of green space. Through a case study of a desert city, i.e.

Alendronate-functionalized polymeric micelles target icaritin to bone for mitigating osteoporosis in a rat model.

Formulating drugs into nanoparticles that target sites of disease can lead to strong therapeutic effects with lower doses of drugs and lower rates of off-target adverse effects. Few ways to target drugs to bone have been described, hampering the treatment of osteoporosis. Here we exploit the ability of alendronate to bind tightly to hydroxyapatite in bone as a tactic to target polymeric micelles loaded with the plant flavonoid icaritin to osteoporotic lesions.

Development and validation of a deep learning-based survival prediction model for pediatric glioma patients: A retrospective study using the SEER database and Chinese data.

Objective: Develop a time-dependent deep learning model to accurately predict the prognosis of pediatric glioma patients, which can assist clinicians in making precise treatment decisions and reducing patient risk.

Study Design: The study involved pediatric glioma patients from the Surveillance, Epidemiology, and End Results (SEER) Registry (2000-2018) and Tangdu Hospital in China (2010-2018) within specific time frames. For training, we selected two neural network-based algorithms (DeepSurv, neural multi-task logistic regression [N-MTLR]) and one ensemble learning-based algorithm (random survival forest [RSF]).

Real-Time and Wireless Transmission of a Nitrogen-Doped TiCT Wearable Gas Sensor for Efficient Detection of Food Spoilage and Ammonia Leakage.

With the rising popularity of smart homes, there is an urgent need for devices that can perform real-time online detection of ammonia (NH) concentrations for food quality measurement. In addition, timely warning is crucial to preventing individual deaths from NH. However, few studies can realize continuous monitoring of NH with high stability and subsequent application validation.

BMSCs-Derived Extracellular VesiclemiR-29a-3p Improved the Stability of Rat Myasthenia Gravis by Regulating Treg/Th17 Cells.

Introduction: Myasthenia gravis (MG) is an autoimmune disorder. Microvesicle-derived miRNAs have been implicated in autoimmune diseases. However, the role of microvesicle-derived miR-29a-3p in MG remains poorly understood.

Nitrogen-doped carbon layer coated Co(OH)F/CoP nanosheets for high-current hydrogen evolution reaction in alkaline freshwater and seawater.

Utilizing renewable energy such as offshore wind power to electrolyze seawater for hydrogen production offers a sustainable development pathway to address energy and climate change issues. In this study, by incorporating nitrogen-doped carbon quantum dots (N-CDs) into precursors, we successfully synthesized a nitrogen-doped carbon (NC)-layer-coated Co(OH)F/CoP catalyst NC@Co(OH)F/CoP/NF loaded on nickel foam (NF). The introduction of N-CDs induced significant morphology change of the catalyst, facilitating the exposure of numerous active sites, ensuring the presence of catalytically active species CoP in nanoparticle form and avoiding agglomeration, which was advantageous to enhancing the overall hydrogen evolution reaction (HER) activity of the catalyst.

FeO/ZnO heterojunction for efficient electrochemical nitrate reduction to ammonia.

Electrochemical nitrate reduction to ammonia (ENORR) has attracted great attention owing to its characteristics of treating wastewater while producing high value-added ammonia. In this study, we successfully prepared a heterojunction electrocatalyst FeO/ZnO consisting of FeO nanosheets and ZnO nanoparticles, where the construction of the FeO/ZnO heterojunction not only increased the exposure of the active sites of the catalyst, accelerated the interfacial electron transfer, and improved the conductivity of the catalyst but also optimized its overall electronic structure. Thus, FeO/ZnO demonstrated a high Faraday efficiency of 97.

Selection strategy for endoscopic necrosectomy approaches of infected walled-off pancreatic necrosis: Analysis of 101 patients from a single center with long-term follow-up.

Objectives: Endoscopic necrosectomy (EN) is a promising minimally invasive approach for treating infected walled-off pancreatic necrosis (WOPN). Multiple EN approaches are currently available, though criteria for selecting the optimal approaches are lacking. We aimed to propose a rational selection strategy of EN and to retrospectively evaluate its safety and effectiveness.

EAAC-Net: An Efficient Adaptive Attention and Convolution Fusion Network for Skin Lesion Segmentation.

Accurate segmentation of skin lesions in dermoscopic images is of key importance for quantitative analysis of melanoma. Although existing medical image segmentation methods significantly improve skin lesion segmentation, they still have limitations in extracting local features with global information, do not handle challenging lesions well, and usually have a large number of parameters and high computational complexity. To address these issues, this paper proposes an efficient adaptive attention and convolutional fusion network for skin lesion segmentation (EAAC-Net).

Predicting the Risk of In-Hospital Mortality in Traumatic Brain Injury Patients on Invasive Mechanical Ventilation in the Intensive Care Unit: Construction and Validation of an Online Nomogram.

Objective: To explore mortality risk factors and to construct an online nomogram for predicting in-hospital mortality in traumatic brain injury (TBI) patients receiving invasive mechanical ventilation (IMV) in intensive care unit (ICU).

Methods: We retrospectively analyzed TBI patients on IMV in ICU from Medical Information Mart for Intensive Care IV database and 2 hospitals. Least absolute shrinkage and selection operation regression and multiple logistic regression were used to detect predictors of in-hospital mortality and to construct an online nomogram.

IEA-Net: Internal and External Dual-Attention Medical Segmentation Network with High-Performance Convolutional Blocks.

Currently, deep learning is developing rapidly in the field of image segmentation, and medical image segmentation is one of the key applications in this field. Conventional CNN has achieved great success in general medical image segmentation tasks, but it has feature loss in the feature extraction part and lacks the ability to explicitly model remote dependencies, which makes it difficult to adapt to the task of human organ segmentation. Although methods containing attention mechanisms have made good progress in the field of semantic segmentation, most of the current attention mechanisms are limited to a single sample, while the number of samples of human organ images is large, ignoring the correlation between the samples is not conducive to image segmentation.

Identification and Comprehensive Analysis of Genes for Fruit Shape Influence in Mango.

OVATE family proteins (OFPs) are a class of plant-specific proteins with a conserved OVATE domain that play fundamental roles in fruit development and plant growth. Mango ( L.) is an economically important subtropical fruit tree characterized by a diverse array of fruit shapes and sizes.

Enhanced L-theanine production through semi-rational design of γ-glutamylmethylamide synthetase from Methylovorus mays.

The thermal instability of γ-glutamylmethylamide synthetase (GMAS) from Methylovorus mays has imposed limitations on its industrial applications, affecting both stability and activity at reaction temperatures. In this study, disulfide bridges were introduced through a combination of directed evolution and rational design to enhance GMAS stability. Among the variants that we generated, M12 exhibited a 1.

Impact of Lymph Node Dissection for Patients With Clinically Node-Negative Intrahepatic Cholangiocarcinoma: A Multicenter Cohort Study.

Background: Lymph node status is a prominent prognostic factor for intrahepatic cholangiocarcinoma (ICC). However, the prognostic value of performing lymph node dissection (LND) in patients with clinical node-negative ICC remains controversial. The aim of this study was to evaluate the clinical value of LND on long-term outcomes in this subgroup of patients.

Risk Factors and Predictive Nomogram for Survival in Elderly Patients with Brain Glioma.

Objective: To determine the factors that contribute to the survival of elderly individuals diagnosed with brain glioma and develop a prognostic nomogram.

Methods: Data from elderly individuals (age ≥65 years) histologically diagnosed with brain glioma were sourced from the Surveillance, Epidemiology, and End Results (SEER) database. The dataset was randomly divided into a training cohort and an internal validation cohort at a 6:4 ratio.

Small extracellular vesicle CA1 as a promising diagnostic biomarker for nasopharyngeal carcinoma.

Nasopharyngeal carcinoma (NPC), a malignant cancer originating from the epithelial cells of the nasopharynx, presents diagnostic challenges with current methods such as plasma Epstein-Barr virus (EBV) DNA testing showing limited efficacy. This study focused on identifying small extracellular vesicle (sEV) proteins as potential noninvasive biomarkers to enhance NPC diagnostic accuracy. We isolated sEVs from plasma and utilized 4D label-free proteomics to identify differentially expressed proteins (DEPs) among healthy controls (NC = 10), early-stage NPC (E-NPC = 10), and late-stage NPC (L-NPC = 10).