The impact of long noncoding RNA LINKA on the GPNMB/HIF-1α signaling pathway in hyperoxic acute lung injury.

ObjectiveTo investigate the role and mechanism of long noncoding RNA LINKA (LncRNA LINKA) in hyperoxia-induced acute lung injury (HALI), specifically focusing on its impact on the GPNMB (glycoprotein nonmetastatic B protein)/HIF-1α (hypoxia-inducible factor 1-alpha) signaling pathway of apoptosis.MethodsAn experimental animal study was conducted using specific pathogen-free (SPF) male C57BL/6 mice and GPNMB knockout (KO) mice. Lung injury was assessed by measuring total protein in bronchoalveolar lavage fluid (BALF), lung wet/dry weight (W/D) ratio, serum levels of inflammatory (tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β)) and oxidative stress (malondialdehyde (MDA) and superoxide dismutase (SOD)) mediators, histopathological scoring (hematoxylin and eosin staining), apoptosis rate (terminal deoxynucleotidyl transferase dUTP nick-end labeling (TUNEL) assay), and expression levels of GPNMB/HIF-1α pathway proteins (p-GPNMB, phosphorylated leucine-rich repeat kinase 2 (p-LRRK2), p-HIF-1α) and apoptosis regulators (BCL2-associated X protein (Bax), B-cell lymphoma 2 (Bcl-2)) via western blotting.

ERO1α regulates colon cancer progression and 5-FU resistance through the miR-451a/ARF1 axis.

Background: Colon cancer (CC) is one of the three most common cancers worldwide. In the treatment of CC, 5-fluorouracil (5-FU) is one of the main components of chemotherapeutic combinations, but severe chemical resistance still occurs. In addition, endoplasmic reticulum (ER) oxidoreductase-1α (ERO1α) has been shown to be highly expressed in CC, but its specific molecular mechanisms remain unclear.

Research progress on the application of RPA-CRISPR/Cas12a in the rapid visual detection of pathogenic microorganisms.

In an increasingly complex global public health landscape, the continuous emergence of novel pathogens and the growing problem of antibiotic resistance highlight the urgent need for rapid, efficient, and precise detection technologies for pathogenic microorganisms. The innovative combination of Recombinase Polymerase Amplification (RPA) and CRISPR/Cas12a enables the rapid amplification of target gene fragments under isothermal conditions and the precise recognition and cleavage of specific nucleic acid sequences. The integration of RPA and CRISPR/Cas12a significantly enhances the sensitivity and accuracy of detection simplifies operational procedures, and reduces the dependence on specialized equipment for testing personnel.

Artifact-free phase reconstruction for differential interference contrast microscopy based on deep learning.

Differential interference contrast (DIC) microscopy, as a label-free, high-contrast, and strong capacity for optical section imaging method, is widely used in routine examinations of cells or tissues. However, due to the inherent non-linearity between DIC image intensity and the phase gradient of a specimen, it is difficult to obtain the quantitative phase image accurately. Moreover, although numerical integration has been tried as a means to reconstruct the specimen phase, the unknown integral constant and the sensitivity to gradient noise lead to insufficient phase image results (obscured by severe linear artifacts).

Disk resonator metasurface emitter for infrared-laser compatible stealth with dual-band thermal management.

Significant advancements have been made in multiband infrared detectors, making the integration of multiband infrared compatibility with stealth capabilities essential for counteracting multiband infrared detection. This paper introduces a multiband metamaterial selective thermal emitter featuring an Ag/TiO/Ag nanosandwich structure capable of achieving both infrared and laser-compatible stealth. Through the use of inherent absorption in lossy dielectrics, magnetic resonance properties of MIM structures, and coupling of propagating surface plasmons with Fabry-Pérot cavity resonances, the multiband infrared stealth compatibility is effectively controlled.

Optimization of low-temperature spectral emissivity measurement scheme based on background factor evaluation.

Accurate spectral emissivity is essential for assessing the radiation efficiency of the thermal emitter and confirming its intended function. However, precise emissivity measurements at low temperatures are challenging due to weak spontaneous radiation and interference from background radiation. This study presents a low-temperature spectral emissivity measurement scheme that combines the radiation modulation technology and the background factor optimization algorithm.

Fabrication of Superhydrophobic Micro/Nanostructures of Titanium Alloy by Femtosecond Laser.

Titanium alloy plays an important role in many high-tech and industrial fields, and its surface processing is vital for expanding the application range and improving its performance. In this work, an effective method for the fabrication of superhydrophobic micro/nanostructures on a titanium alloy surface by a femtosecond laser with ink-assisted light absorption is proposed. The effect of processing parameters of laser cross-line scanning on the morphology and contact angle of surface micro/nanostructures of titanium alloy is revealed.

Impact of preoperative abdominal MRI staging on outcomes for stage II-III colon cancer: a propensity score-matched cohort study.

Objective: Preoperative MRI staging offers a noninvasive approach to assess local tumor invasion and distant metastasis. Attention has been paid to investigating the impact of preoperative abdominal MRI staging on the prognosis of patients with stage II-III colon cancer.

Methods: Patients who underwent radical resection for stage II-III colon cancer at Yunnan Cancer Hospital between 2008 and 2017 were retrospectively analyzed and divided into preoperative MRI and non-MRI groups.

Time-Series Bert for Sepsis Detection: Uncovering Patient Trajectories Through Vital Sign Embeddings.

This study adapts BERT for vital sign time-series analysis in sepsis detection. Using MIMIC-III data, our model's embeddings reveal patient clusters that partition septic from non-septic cases while capturing physiological complexity through diagnosis count distributions. The BERT-based classifier achieves robust performance in both Precision-Recall Area Under Curve (PR AUC), measuring precision maintenance across recall thresholds, and Receiver Operating Characteristic Area Under Curve (ROC AUC), quantifying septic/non-septic case discrimination.

Advancing Patient-AI Conversations with Recursive Learning Memory Using Relational Frame Theory.

The future of Artificial General Intelligence (AGI) in bedside care relies on integrating human psychological principles to foster advanced cognitive abilities such as reasoning, problem-solving, and spatial awareness. Key features like recursive learning memory and human-like context awareness allow AI systems to continuously learn and recall patient information in a relational manner. To achieve this, we propose an AI framework based on Relational Frame Theory (RFT), which organizes patient data to reflect human relational patterns.

AlTPS6 from Is a Crucial Regulatory Target for Root-Knot Nematode Infestation.

Root-knot nematodes (RKNs) are widespread parasites that damage crops by weakening the plant immune system, causing root galls and stunting growth. However, the molecular mechanisms behind how RKNs regulate host plant defenses remain largely unknown. The medicinal plant frequently suffers losses from RKNs.

Deciphering hydrochemistry characteristic, evolution process, and human health risks of fluoride-enriched geothermal resources in the southern part of North China Plain.

Fluoride-enriched geothermal resources have the potential risks for human health, which may cause dental fluorosis and bone fluorosis. Previous research has predominantly focused on the hydrochemical characteristics of high-fluoride groundwater in the North China Plain (NCP), with limited attention given to the evolution of fluoride-enriched geothermal groundwater. This study, utilizing a dataset of major ion concentrations, δD, and δO from 45 samples, aims to investigate the hydrochemistry, evolution, and genetic mechanisms of fluoride-enriched geothermal groundwater in southern NCP.

Biomimetic Analysis of Neurotransmitters for Disease Diagnosis through Light-Driven Nanozyme Sensor Array and Machine Learning.

Neurological diseases, including Alzheimer's disease, Parkinson's disease, and multiple sclerosis, pose a significant global health challenge due to their complex pathogenesis and widespread prevalence. These disorders are often associated with disruptions in neurotransmitter regulation, leading to progressive cognitive and motor impairments. Conventional diagnostic methods are time-consuming and lack the sensitivity required for early-stage detection.

The biological function and mechanism of action of circRNA as a potential target in colorectal cancer.

Colorectal cancer (CRC) is one of the most common malignancies worldwide. Its incidence continues to rise, and treatment options for advanced stages are still limited. In recent years, circular RNAs (circRNAs), a special class of non-coding RNAs, have demonstrated potential applications in cancer therapy.

Palladium/graphene quantum dots stabilizing Pickering emulsions for enhanced electrooxidation of benzylamine.

Pickering emulsions offer a promising strategy to boost conversion, selectivity, and yield in electrochemical organic synthesis by stabilizing interfaces and facilitating efficient charge/mass transfer. Yet, challenges remain in improving the catalytic efficiency and unraveling the emulsion-dependent performance. In this study, palladium/graphene quantum dots (Pd/GQDs) are employed to stabilize Pickering emulsions for the efficient electrooxidation in immiscible oil-water electrolytes.

Development of a risk model for predicting cervical lymph node metastasis in major salivary gland carcinomas utilizing clinicopathological and ultrasound features.

Objectives: Cervical lymph node (CLN) status is an important factor for the patients with major salivary gland carcinomas (MSGCs) with respect to the surgical methods, prognosis, and recurrence. Our aim is to develop a risk model that incorporates clinicopathological and ultrasound (US) features to predict the cervical lymph node metastasis (CLNM) in MSGCs.

Methods: Retrospective data were gathered for 111 patients with MSGCs who underwent surgical treatment and US examinations at our institution from January 2016 to December 2022.

Simultaneous double primary malignant tumors of MSS/pMMR ascending colon cancer and MSI-H/dMMR duodenal cancer with nearly 2 years of recurrence-free survival after MDT-guided comprehensive treatment: a case report.

The exceedingly rare clinical presentation of synchronous ascending colon carcinoma with duodenal adenocarcinoma demonstrating discordant mismatch repair protein expression patterns forms the cornerstone of this investigation. Through detailed analysis of a unique case featuring co-occurring MSS/pMMR ascending colon adenocarcinoma and MSI-H/dMMR duodenal adenocarcinoma, this study demonstrates the successful implementation of multidisciplinary therapeutic protocols achieving 22-month progression-free survival post-radical resection. These clinical findings offer empirical evidence for optimizing clinical management while systematically addressing diagnostic complexities and treatment dilemmas inherent to synchronous dual primary intestinal carcinomas.

Lithography-free transparent spacecraft smart radiation device based on phase change material VO.

As the complexity of spacecraft operations in extreme space environments escalates, the development of a device that can simultaneously manage thermal radiation while maintaining transmission to visible light becomes critically important. Such devices not only effectively shield spacecraft against drastic temperature fluctuations but also preserve the necessary lighting conditions for visibility in both the internal and external environments of the spacecraft. To meet this need, we have engineered a lithography-free transparent smart radiation device (TSRD) based on a dielectric/metal/dielectric (D/M/D) structure and phase change material vanadium dioxide (VO).

MicroRNA-21-5p regulates autophagy and apoptosis via the activation of the PI3K/AKT/mTOR signaling pathway and reducing HO-induced damage in primary AEC-II.

Objective: We examined whether miR-21-5p activates the PI3K/AKT/mTOR signaling pathway, thereby inhibiting autophagy and apoptosis induced by HO in AEC II cells.

Introduction: MicroRNA and autophagy play crucial roles in important biological processes during hyperoxia-induced acute lung injury. Located on chromosome 17q23.

Machine learning model for preoperative classification of stromal subtypes in salivary gland pleomorphic adenoma based on ultrasound histogram analysis.

Objectives: Accurate preoperative discrimination of salivary gland pleomorphic adenoma (SPA) stromal subtypes is essential for therapeutic plannings. We aimed to establish and test machine learning (ML) models for classification of stromal subtypes in SPA based on ultrasound histogram analysis.

Methods: A total of 256 SPA patients were enrolled in the study and categorized into two groups: stroma-low and stroma-high.

Advanced lung cancer inflammation index and short-term mortality in sepsis: a retrospective analysis.

Background: Sepsis is a notable cause of death and poor prognosis in the intensive care unit (ICU). Presents an ambiguous association between advanced lung cancer inflammation (ALI) and short-term lethality in sepsis patients. The purpose of this study is to explore this relationship.

A novel-miR-164 from Atractylodes lancea targets AlNAC1 regulating leaf senescence.

A novel miR164-AlNAC1 module adjusting the expression of genes related to chlorophyll synthesis and ROS synthesis, and regulating leaf senescence in Atractylodes lancea. Leaf senescence is a critical developmental process regulated by complex genetic networks. In this study, a novel miRNA belonging to the MIR164 family was identified as a key regulator of leaf senescence in A.

A wash-free red fluorescent probe for real-time monitoring of mitochondrial viscosity changes and tumor imaging.

Mitochondria are important energy-producing organelles within cells, and abnormalities in the viscosity of their microenvironment are closely related to diseases such as cancer. Current methods for detecting viscosity still suffer from many limitations, whereas fluorescence imaging techniques can address these shortcomings. Therefore, there is an urgent need to develop fluorescence probes capable of detecting changes in mitochondrial viscosity.

Recent Advances in Materials, Synthesis, and Reaction Model of Particle Adsorbent for Flue Gas Desulfurization.

Particle adsorbents have gained significant traction in flue gas desulfurization applications, primarily attributed to their high structural homogeneity and large specific surface area. To address the multifaceted requirements of industrial sectors regarding the structural configurations and physicochemical properties of particle adsorbents while promoting sustainable manufacturing practices, this study systematically evaluates and critically appraises contemporary advancements in particle desulfurizing agent technologies. The synthesis of these findings establishes a theoretical framework to facilitate technological innovation and industrial progress within the particle desulfurizer domain.

Femtosecond laser fabrication metasurface emitter for multispectral camouflage.

The powerful electromagnetic capability of a metasurface makes it a good candidate for thermal emission manipulation toward promising infrared (IR) camouflage and thermal management technology. Here, a metasurface-based infrared is fabricated to achieve multispectral camouflage as well as radiative cooling simultaneously. Cross-scale processing on metal-dielectric composite films is successfully achieved by femtosecond laser direct writing (FsLDW), which is proven to be an efficient and feasible technique in metasurface fabrication.