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This research conducts a numerical analysis of the post-impact response of rectangular hollow steel tubular columns with two different filling conditions: partially filled (PF) and fully filled (FF) with concrete. A finite element model was developed in ABAQUS/Explicit and validated against experimental results, successfully replicating the displacement-time history, peak response, and failure mechanism. Based on the validated model, a comprehensive parametric study comprising 64 models was conducted to assess the effects of cross-sectional geometry, the height of the concrete infill, and the impact location on the residual axial capacity. All models are developed with the same slenderness ratio to enable the disassociation of the effects of geometric parameters from those of infill parameters. From the results, wall thickness is the most critical variable across all models. The full-height infill was found to improve residual capacity significantly compared with the partially filled condition. In addition, the impact location was significant, with quarter-span impacts yielding higher residual strengths than mid-span impacts. These findings present valuable insight in support of the use of performance-based design and retrofitting of composite columns subjected to accidental impact.

Objectives The present study aims to investigate the efficacy of utilizing three-dimensional (3D) printing technology in concert with Problem-Based Learning (PBL) and Case-Based Learning (CBL) pedagogical approaches in educating senior undergraduate clinical medical students on respiratory diseases. Methods A cohort of 422 fourth-year clinical medicical students of from Anhui Medical University, pursuing a five-year program, were arbitrarily segregated into two distinct groups. The experimental group was subjected to a combined pedagogical approach, which included 3D printing technology, PBL and CBL (referred to as DPC). Conversely, the control group was exposed to conventional teaching methodologies for respiratory disease education. The effectiveness of the teaching methods was subsequently appraised using both theoretical test scores and custom questionnaires. Results Post-quiz scores indicated a statistically significant improvement in the DPC group as compared to the traditional group (P < 0.01). Self-evaluation and satisfaction questionnaires revealed that the DPC group’s self-assessment scores outperformed the traditional group in several aspects, including clinical thinking ability, learning initiative, self-study ability, anatomical knowledge mastery, confidence in learning, ability to analyze and solve problems, comprehension of the knowledge, help to clinical thinking and level of satisfaction on the teaching methods (P < 0.01). However, within the unsatisfied DPC sub-group, none of these self-assessment aspects, except for comprehension of the knowledge, impacted the learning efficacy (P > 0.05). Conclusion The deployment of the DPC pedagogical approach may confer unique experiential learning opportunities for students, potentially enhancing theoretical test scores and promoting self-evaluation and satisfaction in the context of respiratory disease education. Hence, it may be instrumental in augmenting the overall teaching efficacy.

The objective of the present study was to analyze the effects of prophylactic glucocorticoid use on the efficacy and adverse reactions of platinum-based intravenous regimens in patients with extensive-stage small-cell lung cancer (ES-SCLC). The present study retrospectively analyzed 103 newly diagnosed patients with ES-SCLC treated with etoposide plus platinum at the First Affiliated Hospital of Anhui Medical University from August 2022 to December 2024. Patients were divided into glucocorticoid (63 cases) and control (40 cases) groups. Baseline characteristics, adverse reaction rates and treatment outcomes were compared between groups. The hormone group showed no significant differences in objective response rate (ORR) and disease control rate (DCR) but had lower incidences of nausea/vomiting (P=0.005), constipation (P=0.002) and leukopenia (P=0.009). In patients also receiving immune checkpoint inhibitors (ICIs), the hormone group had improved renal function protection (P=0.026). Although hypertension incidence was higher in the hormone group, the difference was not statistically significant (P>0.05). Hyperglycemia rates and median survival time were similar between groups. In conclusion, prophylactic glucocorticoids do not significantly affect ORR, DCR, or median survival in patients with ES-SCLC on etoposide plus platinum with or without ICIs but can reduce nausea/vomiting, constipation and leukopenia. They may protect kidney function when combined with ICIs. No major adverse events were linked to glucocorticoid use, so their prophylactic use is recommended in platinum-based ES-SCLC therapy.

Background Breast cancer is a heterogeneous malignancy with diverse tumor subpopulations and complex tumor-immune interactions. This study explores the prognostic and functional roles of PDE3B and HBB in breast cancer, focusing on their contributions to proliferation and immune microenvironment modulation. Methods Single-cell RNA sequencing (scRNA-seq) and TCGA data were analyzed to identify malignant subpopulations and prognostic genes. Differential gene expression, KEGG enrichment, LASSO regression, and Kaplan-Meier survival analyses were performed. Immune infiltration was assessed using EPIC deconvolution. Functional validation included qRT-PCR, IHC, Western blot, and proliferation assays in MDA-MB-231 cells. Results Malignant cell type 3 exhibited the highest proliferative potential. PDE3B and HBB were identified as prognostic markers, strongly associated with poor survival and immune cell infiltration. Overexpression of these genes enhanced proliferation, while their knockout suppressed it. Conclusion PDE3B and HBB drive breast cancer proliferation and immune modulation, making them promising biomarkers and therapeutic targets. Further research should assess their potential in targeted therapies.

Frequent fluctuations in virtual item transactions make data access in virtual games highly dynamic. These heat changes denote temporal variations in data popularity driven by trading activity, which in turn cause traditional storage systems to struggle with timely heat adaptation, increased latency, and energy waste. This study proposes an AI-driven modeling framework for virtual game data centers. The heat feature vector composed of transaction frequency, price fluctuation, and scarcity forms the state space of a Markov decision process, while data migration between multi-layer storage structures constitutes the action space. The model captures temporal locality and spatial clustering in transaction behaviors, applies a sliding-window prediction mechanism to estimate access intensity, and enhances load perception. A scheduling mechanism combining an R2D3 (Recurrent Replay Distributed DQN from Demonstrations) policy network with temporal attention and mixed integer programming jointly optimizes latency, energy consumption, and resource constraints to achieve global data allocation tuning. Experiments on a simulated high-frequency trading dataset show that the system reduces access delay to 420 ms at a transaction intensity of 1000 per second and controls the total migration energy consumption to 85.7 Wh. The Edge layer achieves a peak hit rate of 63%, demonstrating that the proposed method enables accurate heat identification and energy-efficient multi-layer scheduling under highly dynamic environments.

Neurotrophins are a family of growth factors that regulate neural survival, development, function and plasticity in the central and the peripheral nervous system. There are four neurotrophins: nerve growth factor (NGF), brain-derived neurotrophic factor (BDNF), neurotrophin-3 (NT-3) and NT-4. Among them, BDNF is the most studied due to its high expression in the brain. Over the past two decades, BDNF and its receptor tropomyosin receptor kinase B (TrkB) have been reported to be upregulated in a wide range of tumors. This activated signal stimulates a series of downstream pathways, including phosphoinositide 3-kinase/protein kinase B, Ras-Raf-mitogen activated protein kinase kinase-extracellular signal-regulated kinases, the phospholipase-C-γ pathway and the transactivation of epidermal growth factor receptor. Activation of these signaling pathways induces oncogenic effects by increasing cancer cell growth, proliferation, survival, migration and epithelial to mesenchymal transition, and decreasing anoikis, relapse and chemotherapeutic sensitivity. The present review summarizes recent findings to discuss the role of BDNF in tumors, the underlying molecular mechanism, targeting Trk receptors for treatment of cancers and its potential risk.

As older adults get older, their bodies deteriorate. A large proportion of the elderly population experiences decreased attention and memory failure. Through the intervention of music, the memory of the elderly can be improved to some extent, which is of great help to their physical and mental health. In this paper, a visual music therapy rehabilitation system was designed in which the cloud processing module performs physiological signal normalization, feature extraction of heart rate variability patterns, neural network‐based emotional state classification, and data storage for adaptive visual music intervention. When the system detected a change in old people's emotions, the subsystem judged the current model of people's expressions and transmitted the results to the server subsystem, which normalized the data and afterward sent it to the visualization subsystem. The visualization subsystem loaded the corresponding music file based on the server's data and generated a dynamic video to relieve the old people's mental health condition. In this paper, a systematic review was conducted of the three aspects of physical and mental debilitation and social debilitation in the elderly population. Experimental results showed that after 10 weeks of treatment, 34.7% of the elderly were in the pre‐debilitation state and 22% were in a robust state in the visual music therapy rehabilitation system group. This observation period represents a defined intervention stage used to examine the short‐ to medium‐term emotional response of elderly participants during continuous visual music therapy interaction. In this paper, the effects of performing music therapy on the debilitated elderly were observed, which contributes to the development of intelligent medical information systems for emotion‐aware rehabilitation in elderly populations. As older adults get older, their bodies deteriorate. A large proportion of the elderly population experiences decreased attention and memory failure. Through the intervention of music, the memory of the elderly can be improved to some extent, which is of great help to their physical and mental health. In this paper, a visual music therapy rehabilitation system was designed, and the cloud conqueror was mainly responsible for the preprocessing of data, the identification and modeling of negative emotions, and the storage of data. When the system detected a change in old people's emotions, the subsystem judged the current model of people's expressions and transmitted the results to the server subsystem, which normalized the data and afterward sent it to the visualization subsystem. The visualization subsystem loaded the corresponding music file based on the server's data and generated a dynamic video to relieve the mental health condition of the elderly. In this paper, a systematic review was conducted of the three aspects of physical and mental debilitation and social debilitation in the elderly population. Experimental results showed that after 10 weeks of treatment, 34.7% of the elderly were in the pre‐debilitation state and 22% were in a robust state in the visual music therapy rehabilitation system group. In this paper, the effects of performing music therapy on the debilitated elderly were observed, which were beneficial to the comprehensive development of wise information technology of med.

Urban rivers are the origin of civilizations, the source of water supply, and the center of recreational and sports activities. The role of rivers can be investigated from various political, cultural, security, drought, economic, and health aspects. This study was conducted in order to identify the influencing components of urban rivers on ecosystem sustainability. The weight coefficients of climatic, social, economic, and ecological components were evaluated through dynamic cluster analysis, and their role in ecosystem sustainability was quantified. In addition, the relationship between water-based factors and environmental components was determined in finding the best components of river ecosystem evaluation for future decisions. The provided analysis can increase the stability of the urban river ecosystem and can rank the priority of the impact factors. Ecological environment statistics, nature measures, economic parameters, and land cover rate substantially affected the visual influence of the urban river ecosystem. Results showed that the proposed evaluation provided a reasonable framework to evaluate the sustainability of the urban river ecosystem and visual perception to improve the design efficiency by decision-makers.

Bone marrow mesenchymal stem cells (BMMSCs) are ideal seed cells for tissue engineering and regenerative medicine. Many studies have shown that 5-azacytidine (5-aza) can induce BMMSCs to differentiate into cardiomyogenic cells, but some issues still remain to be resolved. In this study, we investigated the effects of angiotensin II (Ang II) on the proliferation and differentiation of BMMSCs induced by 5-aza in vitro. BMMSCs were isolated from the bone marrow of Sprague-Dawley rats by density gradient centrifugation. The third-passage cells were divided into four groups: the Ang II group (0. 1 μmol/l) (group A), the 5-aza group (10 μmol/l) (group B), the Ang II combined with 5-aza group (0.1 and 10 μmol/l) (group C), and the untreated group as control. After 24 h of induction, the medium was changed to the complete culture medium without any inductor, and the cells were cultured for 3 weeks. Morphological changes were observed under a phase contrast microscope. The effect of Ang II and 5-aza on BMMSC proliferation was evaluated by the methyl thiazolyl tetrazolium (MTT) assay. Cardiomyogenic cells were identified through immunofluorescence staining, and the induction ratio was examined by flow cytometry. The level of cardiac troponin I (cTnI) was examined by western blotting, and the ultrastructures of the induced cells were viewed with a transmission electron microscope. The MTT assay showed that the cell proliferation in group C outweighed that in either group A or group B, but no significant difference existed between group A and group B. The expression of specific proteins, namely, cTnI and sarcomeric α-actin in induced BMMSCs was verified as positive. Flow cytometry showed that the induction ratio in group C was higher than that in group A or group B. The protein levels of cTnI in groups A, B, and C were significantly higher than those in the control group. Transmission electron microscopy showed that the induced cells had myofilaments, z line-like substances, desmosomes, and gap junctions. Angiotensin II and 5-azacytidine can promote the proliferation and differentiation of BMMSCs into cardiomyocyte-like cells.

We sought to investigate the impact of CpG oligodeoxynucleotides (CpG-ODN) administration on the lung and gut microbiota in asthmatic mice, specifically focusing on changes in composition, diversity, and abundance, and to elucidate the microbial mechanisms underlying the therapeutic effects of CpG-ODN and identify potential beneficial bacteria indicative of its efficacy. HE staining were used to analyze inflammation in lung, colon and small intestine tissues. High-throughput sequencing technology targeting 16S rRNA was employed to analyze the composition, diversity, and correlation of microbiome in the lung, colon and small intestine of control, model and CpG-ODN administration groups. (1) Histopathologically, both lung and intestinal tissue in asthmatic mice exhibited significant structural damage and inflammatory response, whereas the structure of both lung and intestinal tissue approached normal levels, accompanied by a notable improvement in the inflammatory response after CpG-ODN treatment. (2) In the specific microbiota composition analysis, bacterial dysbiosis observed in the asthmatic mice, accompanied by enrichment of Proteobacteria found to cause lung and intestinal epithelial damage and inflammatory reaction. After CpG-ODN administration, bacterial dysbiosis was improved, and a notable enrichment of beneficial bacteria, indicating a novel microecology. Meanwhile Oscillospira and Clostridium were identified as two biomarkers of the CpG-ODN treatment. (3) Heatmap analysis revealed significant correlations among lung, small intestine, and colon microbiota. CpG-ODN treatment can ameliorate OVA-induced asthma in mice. One side, preserving the structural integrity of the lung and intestine, safeguarding the mucosal physical barrier, the other side, improving the dysbiosis of lung and gut microbiota in asthmatic mice. Beneficial bacteria and metabolites take up microecological advantages, regulate immune cells and participate in the mucosal immune response to protect the immune barrier. Meanwhile, Oscillospira and Clostridium as biomarkers for CpG-ODN treatment, has reference significance for exploring precise Fecal microbiota transplantation treatment for asthma.