A PRF-Based Multibaseline fitting model for temperature prediction.

MRI is capable of constructing in vivo temperature profiles to provide precise thermal guidance for benign and malignant diseases and minimally invasive, rapid recovery and highly reproducible treatments for tumors and benign nodules. Despite the real-time thermal monitoring capabilities of proton resonance frequency (PRF) thermometry, this important magnetic resonance-based temperature measurement technique faces challenges in oncology energy therapy because it is susceptible to image alignment errors and magnetic induction field variations, resulting in unreliable temperature tracking. To address these issues, this study proposes a novel multibaseline fitting temperature prediction model based on proton resonance frequency.

Light-controlled sequential nanoregulators for antibacterial and anti-inflammatory effects on promoting chronic wound healing.

The wound microenvironment (WME) of sustained immune inflammatory response and bacterial infection notably impede the process of tissue repair in chronic wound healing. Herein, the sequential nanoregulator (TiC@MnO-EPL/TA, TMPT) consisting of photothermal-catalytic heterostructure grafted with positive-potential antimicrobial peptides and inflammation-suppressing polyphenols were engineered. In WME, positively charged TMPT nanoregulator adhere to bacteria and mineralize them.

Two-dimensional bismuthene doped biochar for the detection of the heavy metal ion Cd(II).

Heavy metal contamination poses a significant threat to both human health and aquatic ecosystems, highlighting the urgent need for its effective monitoring. Bismuthene is a two-dimensional nanostructured material derived from the environmentally friendly and non-toxic element bismuth, offering significant potential for sustainable electrocatalytic applications. In this study, a facile synthesis method for bismuthene nanosheets and their integration with biomass-derived carbon to form BieneNS@C composites is presented.

Qualitative and quantitative hybrid analysis of heterogeneous crowds involving individuals with diverse types of disabilities passing through bottleneck.

This paper presents a series of controlled experiments involving a heterogeneous disabled group composed of individuals with various types of disabilities and normal pedestrians passing through a bottleneck. A hybrid qualitative-quantitative analysis was applied to examine the movement characteristics. The disabilities include physical impairment, lower limb impairment, visual impairment, hearing impairment, mental impairment and intellectual impairments.

[Preoperative discrimination of colorectal mucinous adenocarcinoma using enhanced CT-based radiomics and deep learning fusion model].

To develop a preoperative differentiation model for colorectal mucinous adenocarcinoma and non-mucinous adenocarcinoma using a combination of contrast-enhanced CT radiomics and deep learning methods. This is a retrospective case series study. Clinical data of colorectal cancer patients confirmed by postoperative pathological examination were retrospectively collected from January 2016 to December 2023 at Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Center 1, =220) and the First Affiliated Hospital of Bengbu Medical University (Center 2, 51).

Emerging implications of N6-methyladenosine in prostate cancer progression and treatment.

RNA modifications are widely distributed in almost all types of RNA, including mRNA, rRNA, miRNA, circRNA, and lncRNA, which are deeply involved in disease initiation and progression and are emerging therapeutic targets in diseases such as cancer, among which N6-methyladenosine (m6A) is the most abundant mRNA modification. Accumulating studies have demonstrated the critical role of m6A during cancer progression and its therapeutic potential in prostate cancer, which is one of the most common malignancies in men worldwide. Here, we reviewed the emerging roles of m6A regulators, including readers, writers, and erasers, and the downstream m6A-modified mRNA and noncoding RNA in prostate cancer.

Hypertension Prevalence Among People Lifted Out of Poverty in China in 2018-2023: Retrospective Spatiotemporal Analysis.

Background: Hypertension is a significant global public health concern, with particular concern in China due to its widespread prevalence. The spatial distribution of hypertension varies significantly, revealing important regional disparities that may impact public health strategies and interventions.

Objective: This study aimed to investigate the temporal trends and spatial distribution characteristics of hypertension prevalence among individuals lifted out of poverty in China, covering the period from 2018 to 2023.

Lightweight remote sensing change detection with progressive multi scale difference aggregation.

Change detection (CD) is the process of acquiring changes in the ground surface by analyzing remotely sensed images of the same location at two different stages. Deep learning is becoming increasingly popular for change detection tasks in remote sensing due to its significant advantages in deep feature representation and nonlinear problem modeling. However, many previous neural network-based approaches require a large number of parameters and computations and high-performance hardware, which makes their practical application in remote sensing challenging.

[Research on the relations of intraventricular pressure gradients determined by echocardiography and left ventricular cardiotoxicity in the early stage of anthracycline chemotherapy].

To preliminarily explore the relationship between intraventricular pressure gradients (IVPG) measured by ultrasound hemodynamic analysis and left ventricular cardiotoxicity after anthracycline chemotherapy. This was a retrospective cohort study. Patients with diffuse large B-cell lymphoma (DLBCL) who completed 6 cycles of R-CHOP chemotherapy at Fudan University Shanghai Cancer Center from 2014 to 2015 were included.

Advancements in Enhancement Strategies for Piezoelectric Nanogenerator Output Performance and Their Applications in Self-Powered Sensors.

Given the increasing prevalence of the Internet of Things (IoT) in various aspects of modern society, issues concerning environmental problems and the limited lifespan of batteries are becoming more acute. As a renewable energy technology with multiple advantages such as environmental friendliness, compact size, and long lifespan, piezoelectric nanogenerators (PENGs) have broad application prospects in wearable devices and self-powered sensors. However, compared to triboelectric nanogenerators (TENGs) and pyroelectric nanogenerators (PyNGs), the output performance of PENG is not ideal, which limits its practical application in sensors.

Contrast-enhanced CT-based habitat radiomics for distinguishing low-risk thymomas from high-risk thymomas: a multicenter study.

Objective: The purpose of this research was to evaluate the effectiveness of contrast-enhanced computed tomography (CECT)-based habitat radiomics in differentiating low-risk thymomas from high-risk thymomas prior to surgery.

Materials And Methods: A retrospective study was conducted involving patients with thymomas who had undergone CECT at three medical centers. The patients were divided into two cohorts: a training cohort comprising 134 patients from Centers A and B, and a validation cohort consisting of 41 patients from Center C.

Urinary Bladder Matrix as a Guide Bone Regeneration Barrier Membrane for Inhibiting Cell Invasion and Promoting Bone Formation.

Natural resorbable collagen membranes are widely used in guided bone regeneration (GBR) in oral implantology and prosthodontics. However, the rapid degradation and inadequate mechanical properties raise concerns about potentially compromising the ultimate bone regeneration efficacy. In this study, we developed a novel GBR membrane by coating a urinary bladder matrix (UBM) onto small intestinal submucosa (SIS), a commonly used acellular material, to improve the cell-barrier and bone-regeneration performances.

Predicting hepatitis C infection via machine learning.

Objective: HCV infection is frequently asymptomatic, with current diagnosis relying mainly on costly and less accessible HCV RNA testing. While HCV-Ab and biochemical markers exhibit suboptimal diagnostic performance, whether machine learning can enhance their accuracy remains unclear.

Methods: This study is a retrospective study, which included data from 179 patients whose HCV-Ab levels were greater than 1.

High efficiency classification of thyroid cytopathological images based on knowledge distillation and vision transformer.

Thyroid cancer is one of the most common types of cancer, pathological diagnosis based on Fine Needle Aspiration Cytology is clinically used as the standard for assessing thyroid cancer. However, the complex structure and large-scale data volume of thyroid pathology images pose challenges in terms of accuracy and efficiency for automatic diagnosis. To address this practical problem, this paper proposes a knowledge distillation method called Multi-Dimensional Knowledge Distillation, which involves feature-based distillation and response-based distillation.

Hspb1 inhibits microglial ferroptosis and pro-inflammatory activation to alleviate cerebral ischemia/reperfusion injury in mice.

Heat shock protein beta-1 may be involved in regulating ferroptosis in cells. The expression of heat shock protein beta-1 is upregulated after stroke; however, the underlying mechanism of action of heat shock protein beta-1 in cerebral ischemia/reperfusion injury remains unclear. Here, using both in vivo and in vitro models of ischemic injury-middle cerebral artery occlusion/reperfusion in C57BL/6J mice and oxygen-glucose deprivation/reoxygenation in BV-2 microglial cells-we observed that heat shock protein beta-1 overexpression significantly reduced infarct volume, mitigated neuronal loss, and improved neurological outcomes.

Separator Engineering for Sodium Metal Batteries: Challenges, Rational Design and Recent Modification Strategies.

Sodium metal batteries (SMBs) have emerged as promising candidates for next-generation energy storage systems, leveraging their high theoretical capacity and the natural abundance of Na resources. Nevertheless, critical challenges, including dendritic growth, side reactions, and pronounced volume fluctuations during cycling, continue to impede their commercialization. Conventional separators, including polyolefin or glass fiber types, suffer from poor wettability, uneven ion flux, and a rough surface.

Microstructure and mechanical behavior of curdlan hydrogels: The role of thermal pre-treatment temperature.

Curdlan, a bacterial polysaccharide, forms thermo-irreversible gels through temperature alone; however, the high strength of these gels limits their versatility in food applications. This study unveils thermal pre-treatment as a breakthrough to customize curdlan gels. Preheating suspensions (40-80 °C) before 90 °C gelation revealed that 48-58 °C - the gel transition range - dramatically weakens the network.

BrainVision: Cross-domain EEG decoding for visual content retrieval and reconstruction.

Understanding human visual intent through brain signals remains a fundamental challenge in neuroscience and artificial intelligence. Despite recent advances in brain decoding, existing approaches typically operate within isolated datasets and modalities, limiting their generalization capabilities. This paper introduces BrainVision, a novel framework that bridges visual recognition and emotional EEG datasets to enable comprehensive visual content generation through cross-domain learning.

A review of the preparation, characterisation and application of electroactive membranes in water disinfection.

Electroactive membranes (EAMs) have intrinsic advantages for example high mechanical strength, good thermal stability, porous structure, suitable pore size distribution, and long service life. Meanwhile, EAMs process integrate membrane separation and electrochemical reactions at the same time, which is recognised as a promising wastewater treatment technology. However, although the combination of membrane separation and electrochemical reactions has significantly enhanced the efficiency of wastewater treatment through a synergistic effect, there are still challenges in improving comprehensive performance such as disinfection efficiency and inhibiting membrane fouling, as well as the actual wastewater treatment effect, which have hindered the wide application of EAMs systems.

Self-derived dual-carbon-constrained CoSe nanocatalyst for accelerated polysulfide conversion in lithium-sulfur batteries.

Lithium-sulfur (LiS) batteries offer high theoretical energy density and low material cost, yet their practical application is limited by poor conductivity, sluggish redox kinetics, and the polysulfide shuttle effect. A promising strategy to overcome these challenges involves the rational design of carbon-supported metal catalysts with high conductivity, strong polysulfide adsorption, and abundant accessible active sites to enhance reaction kinetics. Herein, we report a dual‑carbon-constrained cobalt selenide (CoSe) nanocatalyst, derived from a metal-organic framework, as an efficient sulfur host.

An investigation into enhancing sand stability and minimizing dust emissions through bacterial treatment in arid regions.

Desertification and wind erosion in arid regions demand sustainable solutions beyond conventional methods. This study investigates the efficacy of Microbially Induced Carbonate Precipitation (MICP) for sand stabilization in the Taklimakan Desert, employing Sporosarcina pasteurii to induce calcium carbonate crust formation. Field trials on man-made dunes and trapezoidal sandy land applied bacterial and cementation solutions (urea, calcium chloride, nutrients) in varying frequencies (1-8 spray cycles).

Multifunctional miRNA delivery systems provide synergistic neuroprotection against cerebral ischemia reperfusion injury.

Effectively alleviating cerebral ischemia-reperfusion (I/R) injury is challenging despite the medical advances. Prompt restoration of blood flow after ischemic stroke causes secondary damage to the brain tissues, triggers neuroinflammation and overproduces reactive oxygen species (ROS). MiRNA regulates the genes involved in neuron apoptosis and neuroinflammation, thus exhibiting potential in ameliorating cerebral I/R injury.

Investigation of mechanical properties and micromechanisms of saline soil modified with synthetic fibers.

To study the mechanical properties and microscopic morphology of salt-affected soil after being improved by fiber types and contents, the article analyzes the unconfined compressive strength and shear strength of the sulfate-affected soil in Kashi, Xinjiang, China, which four different fiber contents have improved. Some samples are tested by scanning electron microscope (SEM) and nuclear magnetic resonance (NMR) microanalysis. The article selects the sample with the highest improved unconfined compressive strength for dry-wet cycling and dissolution test.

Comparison of the therapeutic effects of three internal fixation methods for transverse fractures of the patella.

Background: This study aimed to evaluate the treatment effects of three internal fixation methods, including tension band with K-wires, tension band with cannulated screws and tension band with ring-pins on transverse fractures of the patella.

Methods: Patellar fracture patients treated in Shanghai Yangpu District Shidong Hospital from March 2016 to January 2023 were divided into three groups based on the internal fixation method: the ring-pins group (tension band with ring-pins), the K-wires group (tension band with K-wires), and the cannulated screws group (tension band with cannulated screws). Surgery duration, hemoglobin decrease, excellent rate of knee joint function evaluation at postoperative 3 months and 12 months, VAS scores before surgery and at 3 and 12 months after surgery, postoperative complication rate, and removal rate of internal fixation were compared among the three groups of patients.

In Situ Response Time Measurement of RTD Based on LCSR Method.

This study aims to overcome the limitations of conventional plunge tests for evaluating resistance temperature detector (RTD) response times under actual operating conditions, particularly in confined nuclear power plant piping. An in situ measurement device based on the loop current step response (LCSR) method was developed, with a conversion relationship to plunge test results established through numerical simulation and experimental validation. Investigations in a rotating water channel (over the flow velocity range of 0.