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The mapping relationship was investigated between Color-Material-Finish (CMF) and style imagery, using Neo-Chinese armchairs as the research object. Within a Kansei Engineering (KE) framework, key style imagery features of Neo-Chinese armchairs were extracted by combining the Semantic Differential (SD) method and Principal Component Analysis (PCA), based on evaluations from a panel of design experts. Existing CMF configurations were systematically categorized and coded, with standardized digital samples generated using Rhino 3D and Keyshot software. Quantitative Theory Type I (QTTI) was then employed to establish the CMF-style imagery mapping framework. Results demonstrated that CMF significantly shapes style imagery: Different CMF combinations can shift stylistic perceptions toward “modern” or “traditional,” and modulate the intensity of “Zen-inspired” qualities—though they cannot eliminate such attributes entirely. Notably, individual CMF categories may exert contrasting effects on different imagery dimensions. This research addresses two core questions: (1) Which specific CMF components influence the style imagery of Neo-Chinese armchairs, and (2) How do these components operate mechanistically? Furthermore, qualitative CMF design strategies are proposed for Neo-Chinese furniture. The findings provide a theoretical basis for furniture designers to align CMF decisions with user cognitive expectations and a methodological reference for style mapping studies across broader design disciplines.

Obstacle avoidance systems for autonomous driving vehicles have significant effects on driving safety. The performance of an obstacle avoidance system is affected by the obstacle avoidance path planning approach. To design an obstacle avoidance path planning method, firstly, by analyzing the obstacle avoidance behavior of a human driver, a safety model of obstacle avoidance is constructed. Then, based on the safety model, the artificial potential field method is improved and the repulsive field range of obstacles are rebuilt. Finally, based on the improved artificial potential field, a collision-free path for autonomous driving vehicles is generated. To verify the performance of the proposed algorithm, co-simulation and real vehicle tests are carried out. Results show that the generated path satisfies the constraints of roads, dynamics, and kinematics. The real time performance, effectiveness, and feasibility of the proposed path planning approach for obstacle avoidance scenarios are also verified.

The developmental trajectory of exercise self-efficacy refers to the course of change in an individual's belief in their capability to successfully perform exercise-related behaviors over time. This study aims to explore the developmental trajectory of exercise self-efficacy in patients with multivessel coronary artery disease, and analyze the predictors of various trajectory subgroups. Between September 2023 to October 2024, 297 patients with multivessel coronary artery disease were recruited from three tertiary hospitals in Tangshan, China. Exercise self-efficacy was measured using the Multidimensional Self-Efficacy for Exercise Scale on the third day of admission (T1), one month after discharge (T2), three months after discharge (T3), and six months after discharge (T4). The latent class growth model was employed to identify the developmental trajectory of exercise self-efficacy in patients with multivessel coronary artery disease. Multinomial logistic regression was adopted to determine the predictors of trajectory subgroups. Three distinct trajectories of exercise self-efficacy were identified: the \"Low-Efficacy Decline Group\" (22%), the \"High-Efficacy Ascending-Stable Group\" (34%), and the \"Moderate-Efficacy Continuous Increase Group\" (44%). Multinomial logistic regression analysis revealed significant determinants of distinct exercise self-efficacy trajectories, when compared with the moderate-efficacy continuous increase group, the predictors for the low-efficacy decline group included having diabetes, a lack of exercise habits, low social support, and anxiety. In contrast, the predictors for the high-efficacy ascending-stable group were high average monthly household income, established exercise habits, and strong social support. The study revealed heterogeneous trajectories of exercise self-efficacy among patients with multivessel coronary artery disease, highlighting the necessity for personalized intervention strategies. These findings offer a valuable opportunity for early prevention and targeted interventions aimed at enhancing exercise self-efficacy.

Due to the non-degradable and persistent nature of metal ions in the environment, they are released into water bodies, where they accumulate in fish. In order to assess pollution in fish, the enzyme, glucose 6-phosphate dehydrogenase (G6PD), has been employed as a biomarker due to sensitivity to various ions. This study investigates the kinetic properties of the G6PD enzyme in yellow catfish ( Pelteobagrus fulvidraco ), and analyzes the effects of these metal ions on the G6PD enzyme activity in the ovarian cell line (CCO) of channel catfish ( Ictalurus punctatus ). IC 50 values and inhibition types of G6PD were determined in the metal ions Cu 2+ , Al 3+ , Zn 2+ , and Cd 2+ . While, the inhibition types of Cu 2+ and Al 3+ were the competitive inhibition, Zn 2+ and Cd 2+ were the linear mixed noncompetitive and linear mixed competitive, respectively. In vitro experiments revealed an inverse correlation between G6PD activity and metal ion concentration, mRNA levels and enzyme activity of G6PD increased at the lower metal ion concentration and decreased at the higher concentration. Our findings suggest that metal ions pose a significant threat to G6PD activity even at low concentrations, potentially playing a crucial role in the toxicity mechanism of metal ion pollution. This information contributes to the development of a biomonitoring tool for assessing metal ion contamination in aquatic species.

Background In the inflammatory milieu of diabetic chronic wounds, macrophages undergo substantial metabolic reprogramming and play a pivotal role in orchestrating immune responses. Itaconic acid, primarily synthesized by inflammatory macrophages as a byproduct in the tricarboxylic acid cycle, has recently gained increasing attention as an immunomodulator. This study aims to assess the immunomodulatory capacity of an itaconic acid derivative, 4-Octyl itaconate (OI), which was covalently conjugated to electrospun nanofibers and investigated through in vitro studies and a full-thickness wound model of diabetic mice. Results OI was feasibly conjugated onto chitosan (CS), which was then grafted to electrospun polycaprolactone/gelatin (PG) nanofibers to obtain P/G-CS-OI membranes. The P/G-CS-OI membrane exhibited good mechanical strength, compliance, and biocompatibility. In addition, the sustained OI release endowed the nanofiber membrane with great antioxidative and anti-inflammatory activities as revealed in in vitro and in vivo studies. Specifically, the P/G-CS-OI membrane activated nuclear factor-erythroid-2-related factor 2 (NRF2) by alkylating Kelch-like ECH-associated protein 1 (KEAP1). This antioxidative response modulates macrophage polarization, leading to mitigated inflammatory responses, enhanced angiogenesis, and recovered re-epithelization, finally contributing to improved healing of mouse diabetic wounds. Conclusions The P/G-CS-OI nanofiber membrane shows good capacity in macrophage modulation and might be promising for diabetic chronic wound treatment.

Tissue engineering technology has made major advances with respect to the repair of injured tissues, for which scaffolds and cells are key factors. However, there are still some issues with respect to the relationship between scaffold and cell growth parameters, especially that between the pore size and cells. In this study, we prepared scaffolds with different pore sizes by melt electrowritten (MEW) and used bone marrow mensenchymal stem cells (BMSCs), chondrocytes (CCs), and tendon stem cells (TCs) to study the effect of the scaffold pore size on cell adhesion, proliferation, and differentiation. It was evident that different cells demonstrated different adhesion and proliferation rates on the scaffold. Furthermore, different cell types showed differential preferences for scaffold pore sizes, as evidenced by variations in cell viability. The pore size also affected the differentiation and gene expression pattern of cells. Among the tested cells, BMSCs exhibited the greatest viability on the 200-μm-pore-size scaffold, CCs on the 200- and 100-μm scaffold, and TCs on the 300-μm scaffold. The scaffolds with 100- and 200-μm pore sizes induced a significantly higher proliferation, chondrogenic gene expression, and cartilage-like matrix deposition after in vitro culture relative to the scaffolds with smaller or large pore sizes (especially 50 and 400 μm). Taken together, these results show that the architecture of 10 layers of MEW scaffolds for different tissues should be different and that the pore size is critical for the development of advanced tissue engineering strategies for tissue repair.

Cardiovascular disease has become the leading cause of death. A vascular stent is an effective means for the treatment of cardiovascular diseases. In recent years, biodegradable polymeric vascular stents have been widely investigated by researchers because of its degradability and clinical application potential for cardiovascular disease treatment. Compared to non-biodegradable stents, these stents are designed to degrade after vascular healing, leaving regenerated healthy arteries. This article reviews and summarizes the recent advanced methods for fabricating biodegradable polymeric stents, including injection molding, weaving, 3D printing, and laser cutting. Besides, the functional modification of biodegradable polymeric stents is also introduced, including visualization, anti-thrombus, endothelialization, and anti-inflammation. In the end, the challenges and future perspectives of biodegradable polymeric stents were discussed.

Objective This study aimed to evaluate the accuracy of robot-assisted implantation by comparing it with guide-assisted implantation in different surgical contexts, including immediate implantation, multi-tooth implantation, maxillary sinus lift, and bone defect. Methods Patients receiving implantation with static guide-assisted implant procedures or robot-assisted procedures were classified into the guide group (30 patients, 31 implants) and robot group (30 patients, 32 implants), respectively. Pre- and post-operative CBCT scans were processed with software for 3D reconstruction. Deviations between the original plan and actual implant placement at the apical level, cervical level, and implant angulation were projected into mesio-distal and bucco-lingual directions respectively, and were measured for analysis along with depth discrepancy. Results Comparing with guide group in this study, the robot group enjoyed smaller angular deviations in both bucco-lingual direction (1.289° ± 1.067 vs. 0.483° ± 0.334, P<0.01) and mesio-distal direction (1.652° ± 1.421 vs. 0.509° ± 0.426, P<0.01). Deviation analysis also demonstrated the advantage of robot system in controlling deviation at cervical (B-L: 0.461 ± 0.310mm vs. 0.183 ± 0.190mm, P<0.01; M-D: 0.441 ± 0.231mm vs. 0.121 ± 0.125mm, P<0.01) and apical distance (B-L: 0.508 ± 0.330mm vs. 0.164 ± 0.154mm, P<0.01; M-D: 0.476 ± 0.346mm vs. 0.135 ± 0.124mm, P<0.01). No important difference was noted in depth accuracy (0.426 ± 0.205, 0.335 ± 0.029, P>0.05). Notably, the precision of robotic implant placement remained consistently high across various procedures, including conventional, immediate, bone defect, class IV bone, sinus elevation, and multiple-tooth placements, with no important variation. Conclusion Compared to guide-assisted techniques, the robotic implantation system offers superior accuracy in clinical implanting contexts. Its integration allows surgeons to focus more on planning and evaluation workflow, reducing manual effort and potentially lowering labor costs. Trial registration Full name of the registry: Chinese Clinical Trial Registry. Trial registration number: ChiCTR2500109094. This study was retrospectively registered at Chinese Clinical Trial Registry (www.chictr.org.cn) on 11 th Sept 2025.

Heavy metals and As (HMs) pollution in mining areas are a widespread environmental concern. In this study, ground water, surface water, and sediment samples around the Dexing area, one of the largest Cu-polymetallic ore clusters in China, were collected to examine the concentrations and distributions of As, Cd, Cr, Cu, Hg, Pb, and Zn. Pollution indices, geo-accumulation index, and potential ecological risk index were used to estimate the pollution characteristics and ecological risk of HMs. The results show that the major pollutants in the surface water were Cd, Cu, Zn, and Pb, while the dominant ecological risk of HMs in the sediments originated from Cu, As, Hg, and Cd. Moreover, HMs in the surface water and sediments exhibited substantial spatial heterogeneity in the study area, indicating a severely disturbed environment due to mining activities. The proportions of HM pollutions were higher in the Dexing River and its tributaries than in the Le’an River and its tributaries. The surface water pollution was predominant at the tributaries closest to the mine area, while the sediment contamination has been expanded several kilometers downstream of the major rivers. Overall, the ecological risk of HMs was higher in the sediments than in the surface water.

Full-thickness skin wounds are common and could be a heavy physical and economic burden. With the development of three dimensional (3D) printing technology, skin-like constructs have been fabricated for skin wound healing and regeneration. Although the 3D printed skin has great potential and enormous advantages before vascular networks can be well-constructed, living cells are not recommended for 3D skin printing for in vivo applications. Herein, we designed and printed a bilayer membrane (BLM) scaffold consisting of an outer poly (lactic-co-glycolic acid) (PLGA) membrane and a lower alginate hydrogel layer, which respectively mimicked the skin epidermis and dermis. The multi-porous alginate hydrogel of the BLM scaffolds promoted cell adhesion and proliferation in vitro , while the PLGA membrane prevented bacterial invasion and maintained the moisture content of the hydrogel. Skin regeneration using the bilayer scaffold was compared with that of PLGA, alginate hydrogel and the untreated defect in vivo . Tissue samples were analyzed using histopathological and immunohistochemical staining of CD31. In addition, mRNA expression levels of collagen markers [collagen type 1 alpha 1 (COL1a1) and collagen type 3 alpha 1 (COL3a1)] and inflammatory markers [interleukin-1β (IL-1β), as well as tumor necrosis factor (TNF-α)] were measured. Conclusively, the application of BLM scaffold resulted in highest levels of best skin regeneration by increasing neovascularization and boosting collagen I/III deposition. Taken together, the 3D-printed BLM scaffolds can promote wound healing, and are highly suitable for a wide range of applications as wound dressings or skin substitutes.