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Endoscopic submucosal dissection (ESD) is an effective treatment with minimal invasiveness for early gastric cancer (EGC). However, cases undergoing non-curative resection (NCR) may still undergo additional surgical procedures. We aimed to analyze the features of NCR under white light imaging (WLI), and develop a prediction model to assess the risk of NCR before ESD. We retrospectively collected and analyzed WLI and clinicopathological features of 568 EGC patients undergoing ESD between March 2016 and March 2024. A nomogram was developed on 455 patients from the training set after subgroup difference analysis. 91 out of 568 (16.0%) cases had NCR. WLI features including remarkable redness, ulceration, fold convergence, marginal elevation, whitish mucosal change, larger lesions, and Helicobacter pylori (Hp) infection were associated with independent risk factors for NCR. The nomogram based on these features showed good predictive value for NCR, with an area under the curve (AUC) of 0.8095 (95% CI: 0.7538–0.8651) in the training set and 0.7567 (95% CI: 0.6427–0.8707) in the validation set. We developed a nomogram incorporating WLI features that exhibits good predictive performance and could potentially assist in selecting optimal treatment strategies for EGC.

LncRNA MIR4435-2HG is observed in a variety of cancers, while its role in colorectal cancer is unknown. We aimed to demonstrate the relationship between MIR4435-2HG and colorectal cancer based on The Cancer Genome Atlas (TCGA) database. Patients with colorectal cancer were collected from TCGA. We compared the expression of MIR4435-2HG in colorectal cancer and normal tissues with Wilcoxon rank sum test, and logistic regression was used to evaluate the relationship between MIR4435-2HG and clinicopathological characters. Moreover, Kaplan-Meier and Cox regression was performed to evaluate the correlation between MIR4435-2HG and survival rate. Gene set enrichment analysis (GSEA) was also conducted to annotate biological function of MIR4435-2HG. MIR4435-2HG level was elevated in colorectal cancer tissues. Increased level of MIR4435-2HG was significantly correlated with TNM stage (OR = 1.66 for T1/T2 vs. T3/T4; OR = 1.68 for N0 vs. N1/N2), stage (OR = 1.66 for stage 1/2 vs. stage 3/4), and carcinoembryonic antigen level before treatment (OR = 1.70 for <5 vs. ≥5) (all -value <0.05). High MIR4435-2HG expression had a poorer progression-free survival ( = 0.048), and overall survival (OS) ( = 0.028), which were validated in the GSE92921 and GSE29621 datasets. MIR4435-2HG expression ( = 0.040, HR = 1.955 (95% CI [1.031-3.710])) was independently correlated with OS. GSEA demonstrated that the P38/MAPK pathway, the VEGF pathway, the cell adhesion molecules cams, the NOD-like receptor signaling pathway, the cell surface interactions at the vascular wall, and integrin cell surface interactions were differentially enriched in MIR4435-2HG high expression phenotype. Increased MIR4435-2HG might be a potential biomarker for the diagnosis and prognosis of colorectal cancer. Moreover, MIR4435-2HG might participate in the development of colorectal cancer via the P38/MAPK and VEGF pathway.

Background Ameloblastoma (AM) constitutes a locally invasive, non-malignant odontogenic neoplasm with significant recurrence potential. In pediatric patients, treatment must balance effective tumor control with the preservation of normal jaw development, leading to a common preference for conservative surgical approaches such as marsupialization or local curettage. However, even with conservative treatment, a subset of children remains at a heightened risk of recurrence. Currently, there is a lack of dedicated clinical tools for predicting recurrence risk within pediatric patients. Methods In this retrospective study, 115 pediatric patients with AM who underwent conservative surgical treatment at the Hospital of Stomatology, Sun Yat-sen University between November 2005 and August 2025 were enrolled. Researchers gathered information from clinical examinations, radiographic images, and pathological findings. To pinpoint the key elements contributing to recurrence, both single-variable and multi-variable logistic regression analyses were carried out. Building on these significant predictors, a nomogram forecasting model was then developed. The model’s performance was evaluated by the area under the receiver operating characteristic curve (AUC), the Hosmer–Lemeshow goodness-of-fit test, calibration curve, and decision curve analysis (DCA). Results Recurrence occurred in 39 of the 115 patients (33.9%). Multivariate analysis identified female gender (OR = 0.325, P  = 0.034) and the surgical approach of curettage and fenestration decompression (CFD) (OR = 0.231, P  = 0.021) as protective factors against recurrence. In contrast, a honeycomb radiographic pattern (OR = 16.980, P  = 0.018) and involvement of the inferior alveolar nerve (OR = 3.680, P  = 0.036) proved to be a major red flag for recurrence. When we put these pieces together in a nomogram, the predictive power was quite impressive, with an AUC of 0.818 (95% CI: 0.734–0.902). The calibration curve indicated excellent agreement between ideal and observed outcomes. Conclusions This research marks the creation and verification of the inaugural predictive nomogram designed to estimate the likelihood of recurrence in pediatric ameloblastoma cases managed through conservative surgical approaches. The model exhibits good discriminative ability and calibration, potentially serving as a practical tool to assist clinicians in optimizing surgical planning and tailoring treatment strategies, thereby improving long-term outcomes for affected children.

Pumps are important components in aviation fuel hydraulic systems, and thanks to the development of sensor technology and industrial intelligence technology, it is possible to achieve efficient state monitoring of pumps. However, when data quality is poor or the amount of data is small, a single data-driven model may not be able to meet diagnostic accuracy. A condition monitoring method for hydraulic gear pumps based on mechanism-data fusion is proposed. The method combines a mechanism model based on the volumetric efficiency formula with a data-driven model based on vibration signals. First, the parameters of volumetric efficiency are solved by fitting the pressure–flow relationship. Subsequently, a multichannel fusion and multikernel function-weighted ensemble support vector classification (MCMK-SVC) is developed, to establish a data-driven model. Finally, through data-level fusion, feature-level fusion, and decision-level fusion, a condition monitoring model based on mechanism-data fusion is built. Experimental verification shows that the accuracy of the three levels of fusion models exceeds 96.9%. Compared to the single data-driven model or other traditional data-driven models, the accuracy of the proposed method has improved by 3% to 33%, demonstrating the effectiveness of the mechanism-data fusion model.

Background Ameloblastoma is the most common odontogenic epithelial tumor, characterized by local aggressiveness and high recurrence rates. Current management lacks a practical staging system to guide surgical decisions, making it challenging to balance radical resection with functional preservation. Methods This retrospective cohort study developed and validated a novel bone destruction and radological Morphology (BM) staging system for mandibular conventional ameloblastoma. We analyzed 649 patients from three tertiary centers (2005–2024), categorizing them into BM stages I-III. Recurrence-free survival (RFS) was analyzed using Kaplan–Meier methods and log-rank tests. Results The BM staging system effectively stratified recurrence risk and guided surgical choices. The 5-year RFS rates decreased significantly with advancing stage: stage I (71.9%), stage II (46.4%), and stage III (24.5%) ( P  < 0.0001). In stage I, both curative resection surgery (CRS) and curettage and fenestration decompression (CFD) achieved 100% 5-year RFS. For stage II patients, CRS was marginally superior to CFD. For stage III, CRS led to significantly better outcomes (88.2%) than other approaches ( P  < 0.0001). In stages I and II, patients treated with fenestration decompression or local curettage had significantly worse prognosis than those receiving CRS or CFD. Conclusions The BM staging system provides effective prognostic stratification and guides surgical decisions. Modified conservative surgery (CFD) is appropriate for stage I, while curative resection is recommended for stage III to minimize recurrence risk. For stage II patients, the choice between CRS and CFD should weigh the benefit of lower recurrence against the risk of jaw discontinuity and functional impairment.

Edge computing, a key technology in the Internet of Things, can help integrate real-time fault diagnosis into industrial applications. Lightweight and compression technologies are essential for deploying high-precision deep learning methods on resource-constrained edge computing systems. However, modeling accuracy is severely compromised by existing methods. To overcome this limitation, a new multi-stage pruning and distillation architecture was proposed in this study to compress a depthwise separable convolutional network for intelligent fault diagnosis of bearings in edge computing systems. The model was implemented on an NVIDIA Jetson Nano and verified using two bearing fault datasets. The results show that the proposed method can significantly reduce the calculation and reasoning time of the model and maintain high accuracy. The proposed method exhibits remarkable effectiveness, requires minimal memory, provides fast inference speeds, and is suitable for use in edge devices with less configuration.

Ameloblastoma is a benign tumor characterized by locally invasive phenotypes, leading to facial bone destruction and a high recurrence rate. However, the mechanisms governing tumor initiation and recurrence are poorly understood. Here, we uncovered cellular landscapes and mechanisms that underlie tumor recurrence in ameloblastoma at single-cell resolution. Our results revealed that ameloblastoma exhibits five tumor subpopulations varying with respect to immune response (IR), bone remodeling (BR), tooth development (TD), epithelial development (ED), and cell cycle (CC) signatures. Of note, we found that CC ameloblastoma cells were endowed with stemness and contributed to tumor recurrence, which was dominated by the EZH2-mediated program. Targeting EZH2 effectively eliminated CC ameloblastoma cells and inhibited tumor growth in ameloblastoma patient-derived organoids. These data described the tumor subpopulation and clarified the identity, function, and regulatory mechanism of CC ameloblastoma cells, providing a potential therapeutic target for ameloblastoma.

Elastomeric composites are an important class of thermal interface materials as they are shape‐adaptive, which can fit uneven interfaces and achieve ideal interfacial heat transfer in electronic cooling. There is often a trade‐off between mechanical and thermal performances in highly filled composites. Here, the surface chemistry of Al powders via introducing dodecyltrimethoxysilane (DTS) upon different grafting densities is precisely controlled. The results show that the DTS grafting density of 0.24 molecule nm−2 endows the composites with optimized mechanical properties. The tensile stress, elongation at break, and Young's modulus are enhanced by 180%, 56%, and 94.4% after DTS grafting, respectively. Meanwhile, the composite possesses a high fracture energy of 356.2 J m−2 with an enhanced strain energy density of 37.6 kPa. The DTS grafting on Al also contributes to higher thermal conductivity (4.4 W mK−1) and lower contact thermal resistance (0.52 °C cm2 W−1) of the composites and significantly improves the stability of the composites upon high‐temperature storage. Guidance is provided here on methods and data references for optimizing the performance of elastomeric composites, which helps to expand their practical application in electronic cooling. The simultaneous improvement of the overall performance of the elastomeric composites is achieved by the precise regulation of the surface chemistry of Al powders. The appropriate modification of the interfacial layer imparts satisfactory mechanical and thermal performances, along with good stability to the composites, which perform well in electronic cooling.

As a widely used anticancer drug, doxorubicin (DOX) could induce cell death mainly via interfering with DNA activity; thus, DOX could perform therapeutic effects mainly in the cell nucleus. However, most of the reported drug delivery systems lacked the well localization in the nucleus and released DOX molecules into the cytoplasm. Due to formidable barriers formed in the nuclear envelope, only around 1% of DOX could reach the nucleus and keep active. Therefore, DOX molecules were inevitably overloaded to achieve the desired therapeutic efficacy, which would induce serious side effects. Herein, we developed a highly localized drug nanocarrier for in situ release of DOX molecules to their action site where they could directly interfere with the DNA activity. In this work, we used cationic polymer-modified upconversion nanoparticles (UCNPs) as the luminescence core and gene carrier, while aptamers served as the DNA nanotrain to load DOX. Finally, the prepared nanotheranostic agent displayed good targetability, high cell apoptosis ratio (93.04%) with quite lower concentration than the LC50 of DOX, and obvious inhibition on tumor growth.

[...]for patients diagnosed with SLD, education plays a pivotal role in understanding, managing, and possibly reversing their condition. In our evolving digital era, large language models (LLMs), which are sophisticated generative AI systems trained on vast volumes of data that are capable of producing human-like textual responses, have emerged as promising aids for patient education [3], particularly in facilitating interactions through natural language dialogues [4]. [...]given that the efficacy of LLMs in advancing SLD patient education might vary, it is imperative to compare their performances. [...]we conducted a comparative evaluation study to assess the performance of five leading LLMs in responding to SLD-related queries. 3 3 3 3 3  Is there an increased risk of heart disease when living with fatty liver disease?