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Recent policy initiatives, such as the Ministry of Education of China’s guidelines on student sleep management, together with international empirical studies on daytime rest, highlight that appropriate opportunities for midday rest can support students’ attention, memory, and overall learning. Motivated by these developments, this study introduces a conflict-sensitive, multidimensional framework for evaluating nap-compatible classroom chairs. The proposed PLEASURC framework integrates eight evaluation dimensions, organized into four domains—ergonomic, operational, perceptual, and affective—thereby combining both expert and student perspectives across three use scenarios (writing, adjusting, and napping). Perceptual divergence between groups is addressed through Jensen–Shannon divergence–based adaptive weighting, which adjusts expert–student influence according to their agreement level. Scenario-sensitive patterns are extracted via tensor decomposition (a statistical factor analysis technique), while SHAP-enhanced machine learning (an explainable model interpretation method) is employed to identify the most influential predictors of perceived comfort. Findings indicate that relational and emotional dimensions (e.g., Relatability, Learnability, Aesthetics) significantly influence perceived comfort, surpassing structural considerations alone. The study also demonstrates a closed feedback loop from evaluation to redesign, supporting the practical utility of the framework through the optimized chair prototype. Overall, this research offers a replicable and interpretable framework for ergonomic evaluation and data-driven redesign of multifunctional school furniture, contributing to both student-centered learning environments and sustainable educational infrastructure.

CD24 can bind to its receptor, Siglec-10, and suppress immune responses induced by tissue damage. We aimed to study serum biomarkers in CD24/Siglec-10 axis and explore their associations with the survival and neurological prognosis of patients after return of spontaneous circulation (ROSC) following cardiac arrest. A prospective cohort study was performed. Eligible patients with ROSC were enrolled. Clinical information and serum levels of sCD24, sSiglec-10, sialic acid, tumor necrosis factor (TNF-α), interleukin-6 (IL-6), high mobility group protein 1 (HMGB1), neuron specific enolase (NSE), and neuraminidase activity were collected on days 1, 3 and 7 after ROSC. The 28-day survival and neurological outcome were documented. The study included 104 ROSC patients, with 30 and 74 in survivor and non-survivor groups, respectively. The levels of all biomarkers, except for sSiglec-10, sialic acid, and neuraminidases on day 1, were significantly higher in non-survivor than survivor group. Serum sCD24 level was positively correlated with sialic acid, HMGB1, TNF-α, IL-6, NSE, neuraminidases activity, and APACHE II score. Multivariate logistic regression analysis showed that serum sCD24 level was independently associated with 28-day poor neurological prognosis and mortality after ROSC. Multiple serum biomarkers within the CD24/Siglec-10 axis were significantly elevated following ROSC. Elevated serum sCD24 level emerged as a predictor of both 28-day poor neurological prognosis and all-cause mortality in patients after cardiac arrest. Further large-scale studies are warranted to validate these findings.

The internal structure of many aero-engines is designed with a dual-rotor system. Up to now, there have been few studies on the influence of aerodynamic excitation on the dual-rotor system. The phenomenon of synchronous impact may occur when the frequency of the aerodynamic excitation force of the fan blade is close to the characteristic frequency of the inter-shaft bearing. This paper investigates the dynamic characteristics of a dual-rotor system under the condition of synchronous impact. The system's motion equations are formulated considering the complex nonlinearities of the inter-shaft bearing, such as Hertz contact force of 10/9 exponential function, clearance, and periodic varying compliance. In addition, the inter-shaft bearing with a local defect is considered. The fan blade’s aerodynamic excitation force is modeled by synthesizing multiple harmonic excitation forces, the amplitudes of which are obtained by the Fourier series expansion. Numerical simulations are employed to get the dynamic responses of the system. The results show that the dynamic characteristic of the dual-rotor system at the primary resonance caused by the high-pressure (H.P.) rotor is not changed by the aerodynamic excitation force, while the primary resonance caused by the low-pressure (L.P.) rotor increases significantly. However, three aerodynamic resonances of the amplitude-frequency response of the dual-rotor system are emerging in the low-frequency region (124, 146 and 186 rad/s). When the synchronous impact phenomenon occurs, the amplitude of the three resonance peaks will increase twice compared to the original status, leading to a doubled increase in the dynamic load of the inter-shaft bearing. The characteristics of the dual-rotor system affected by the parameters such as initial phase difference of local defect, rotor eccentricity of system, clearance of inter-shaft bearing, and the stiffness and damping of supports are discussed in detail. The results obtained provide a deep insight into the mechanism of synchronous impact.

The design of auditorium chairs can directly reflect the image of public spaces. At present, the development of public furniture is relatively slow compared to household and office furniture. The design of auditorium chairs on the market is severely homogenized, relying on past experience and lacking scientific guidance. In order to create a better indoor public activity environment for users, from the perspective of user needs, first of all, 21 user needs for auditorium chairs were obtained through semi-structured interviews. Then, the Kano model was used to determine the attribute positioning of each demand. Finally, the FAST method was used to transform user demands into functions, assisting in the design optimization of hall chairs and promoting the future development of public furniture. The results indicate that the design of auditorium chairs must meet safety and stability, and the comfort and rechargeability of the seats are the most important needs of users. In the future, the functional design of auditorium chairs also needs to consider intelligent applications. The study applies a Kano-FAST integration method to the design innovation of auditorium chairs, providing data support for the development of furniture enterprise auditorium chairs and promoting product upgrading and optimization.

In recent years, the custom wardrobe market has been steadily developing. While meeting the functional needs of users, it is gradually shifting towards aesthetic preferences. Rapidly grasping users’ preferences for the appearance of custom wardrobes is a key focus of current research. This study collected a large number of decorative surface images of custom wardrobes and objectively analyzed the design features based on color moments and Tamura texture feature data in computer image analysis methods. K-means cluster analysis was performed on the feature data. Collected images of the points closest to the cluster centers were further screened to select representative finish images, and finally a questionnaire survey was conducted at Nanjing Forestry University, with the help of semantic differential method and factor analysis. The characteristics of the samples were comprehensively summarized to infer design elements. The study found that warm-toned, medium-low saturation, and medium brightness surfaces were preferred by the panel. Different colors, contrasts, saturations, brightness, element features, and arrangements have significantly different effects on visual perception. These conclusions can provide a reference for subsequent custom wardrobe design.

Tuberculosis continues to pose a serious threat to global health. Mycobacterium tuberculosis , the causative agent of tuberculosis, is an intracellular pathogen that relies on various mechanisms to survive and persist within the host. Among their many virulence factors, mycobacteria encode Mce systems. Some of these systems are implicated in lipid uptake, but the molecular basis for Mce function(s) is poorly understood. To gain insights into the composition and architecture of Mce systems, we characterized the putative Mce1 complex involved in fatty acid transport. We show that the Mce1 system in Mycobacterium smegmatis comprises a canonical ATP-binding cassette transporter associated with distinct heterohexameric assemblies of substrate-binding proteins. Furthermore, we establish that the conserved membrane protein Mce1N negatively regulates Mce1 function via a unique mechanism involving blocking transporter assembly. Our work offers a molecular understanding of Mce complexes, sheds light on mycobacterial lipid metabolism and its regulation, and informs future anti-mycobacterial strategies. Mycobacterial Mce systems are putative ABC transporters for lipids. Here, the authors revealed two distinct Mce1 complexes comprising different heterohexameric substrate binding assemblies that are negatively regulated via a novel mechanism.

The wood furniture manufacturing industry continues in the direction of customized furniture. The analysis of color collocation is important for developing customized furniture. This study summarizes the common color collocation application area for porch cabinets. After selecting the appropriate color model, C # language was used to simulate a real scene setting experimental system in the Unity graphics engine. Colors were generated randomly in the corresponding area, and subjects evaluated the harmony. Then, the Python language was used to build the BP neural network model. The BP neural network models were trained using the Hue, Saturation, value (HSV) of the depicted colors and their corresponding scores. Finally, the evaluation model of color collocation and harmony was obtained. The model can be used to improve the prediction of color matching in customized furniture, which will promote enterprise productivity and industry development.

To improve the use experience of airport chairs, this study adopted morphological analysis to conduct systematic deconstruction, analysis, and statistics on the modeling features of existing airport chairs. The KJ method was used to determine the design requirements of airport chairs. The study combined the Kano model to classify the functional attributes and prioritize the requirements, and it merged the module and demand analysis to build a Function-Behavior-Structure mapping model. In this way, passengers’ demand for airport chairs can be clearly defined, and airport chair configuration planning can be carried out according to the difference in preferences. Further, different module combination schemes can be formed to improve the functional allocation efficiency of airport chairs, optimize the overall service quality of airports, and provide some basis and reference for the future design of airport chairs.

A precise quantification of energy gap for a molecular semiconductor is crucial. However, there has always been a lack of a suitable method which results in an inaccurate measurement. In this research, a three-terminal vertical structure (Al/AlO X /Au/ molecular semiconductor/Al), named hot electron transistor has been designed to be the most powerful method for energy gap determination. By analysing the I C-hot –V EB curves, the electron injected barrier and hole injected barrier can be extracted. In combination of the both, the energy gap of four objects, including PBDB-T-2Cl, C 60 , PTCDA, and Alq3, has been determined finally.

The decision-making process of consumers regarding custom wardrobe furniture transcends product functionality to include the sensory experience, notably the tactile aspect. This study focuses on the tactile experience to assist consumers in evaluating the tactile feel of custom wardrobe finishes, such as cognitive fuzziness during the experience, the challenge of clearly describing the connection between touch sensation and the physical attributes of the custom wardrobe, and reducing communication costs between users and designers. The research first clarifies the hierarchical cognitive structure of the tactile sensation of custom wardrobe finishes, then explores the logical relationships between levels through linear regression models. Subsequently, a nonlinear relationship model between the “Physical Attributes Layer” and the “Tactile Sensation Layer” is constructed using a Backpropagation Neural Network, and the connection between the “Tactile Sensation Layer” and the “Comprehensive Evaluation Layer” is mapped through a multiple linear regression equation. This comprehensive evaluation system for the tactile feel of custom wardrobe finishes provides designers with a tool to optimize the tactile characteristics of products, thereby shortening the design iteration cycle and improving design precision. It also helps users better express their emotional needs in terms of tactile sensations, enhancing the connection between tactile experience and emotion.