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Prefabricated building construction in materialization phase as catalysts for hotel low-carbon transitions via hybrid computational visualization algorithms
Abstract This study examines the carbon emissions of star-rated hotels in Hangzhou, comparing the environmental impact of prefabricated construction (PC) and conventional construction (CC) methodologies. The research reveals that PC generally results in lower carbon emissions during the materialization phase, with notable variations across different hotel star levels and administrative regions. Higher-star hotels exhibit higher total emissions, primarily due to larger scale and reliance on conventional construction methods. In contrast, lower-tier hotels benefit more consistently from the adoption of prefabricated construction, leading to significant reductions in carbon emissions. Regional analysis shows that the impact of the COVID-19 pandemic on hotel turnover and carbon decoupling trends varies, with core urban areas experiencing a more pronounced decoupling effect, while suburban regions exhibited slower recovery. The findings underscore the potential for prefabricated construction to reduce carbon footprints, particularly in mid-tier and lower-tier hotels. This study contributes to the understanding of sustainable construction practices in the hotel industry and provides a foundation for future research focused on refining carbon emission assessments, incorporating real-world data, and exploring the integration of renewable energy and lifecycle emissions.
Spawning in a threatened freshwater mussel shifts to earlier dates as a result of increasing summer mortality
Investigating the kinetics of single-chain expansion upon release in theta conditions
Experimental performance examination of a coherence technique-based numerical differential current relay for AC machine stator windings protection
Abstract A computational technique based on a coherence method for fault detection and classification for electrical machine stator windings is presented in this article. The coherence algorithm can identify clearly and concisely inter-turn and shunt faults situated on the 3-phase stator windings of the AC machine. Besides, it can categorize the different types of internal shunt faults. The cross-coherence algorithm performs the functional role of digital differential current to find and classify the internal faults; while, the auto-coherence algorithm acts as an overcurrent detector to define the occurrence of external, internal, or inter-turn faults. A new setup of three-phase induction machine stator windings, where each winding is re-winded to produce 20 taps per phase, is used to examine the approach. The new design is intended to build current transformers at the neutral and supply sides of the three windings, and to simplify conducting comprehensive examinations to verify the efficacy and efficiency of the advanced algorithm. The protection characteristics of the developed algorithm will be analyzed and estimated using the new setup. The test results indicate that the reliability and accuracy of the protection are above 98.7%. The coherence criterion is also useful for monitoring electrical faults, sensing inter-turn faults, distinguishing between external and internal shunt faults, classifying diverse internal shunt faults within the equipment protection zone, and estimating the tripping time when inter-turn faults occur. Furthermore, a new design of protection tripping-characteristic curves is established, and the time response of the computational technique is fast.
Enhanced perovskite solar cells performance with TiOx and SnOx thin films as electron transport layers
Molecular delineation and haplotype analysis of domain membrane protein (DMP) gene influencing in-vivo haploid induction in maize
A prospective single center non randomized clinical trial of autologous skin cells with platelet rich plasma for diabetic ulcer and trauma injuries patients
A safety risk assessment method for TBM tunnel construction based on attribute interval identification theory
Advanced methodology for maximum torque point tracking of hybrid excitation PMSM for EVs
Trends in hemoglobin-to- red cell distribution width ratio and its prognostic value for all-cause, cancer, and cardiovascular mortality: a nationwide cohort study
Attention dual transformer with adaptive temporal convolutional for diabetic retinopathy detection
Impact of behavioral differences on white-lipped peccary reintroduction success in the Atlantic forest
The Resilience on Amphetamine Relapse Youth Scale: development and psychometric properties
Integrating transcriptomic data with a novel drug efficacy prediction model for TCM active compound discovery
A blockchain-integrated chaotic fractal encryption scheme for secure medical imaging in industrial IoT settings
Trends in the global, regional, and national burden of bladder cancer from 1990 to 2021: an observational study from the global burden of disease study 2021
Pharmacovigilance analysis of immune checkpoint inhibitor-related reproductive adverse effects based on the FDA adverse event reporting system
Effects of childhood maltreatment on mothers’ empathy and parenting styles in intergenerational transmission
Using Masao facial makeup in software interface interaction design from the perspective of digital communication
Abstract Masao facial makeup, a unique folk cultural form from the Baoji region, carries a rich traditional heritage. However, its inheritance and development have long been hindered by limited dissemination channels and insufficient public attention. This paper proposes an innovative model for deeply integrating Masao facial makeup with computer software, and transforming it into an interactive filter within social media applications. This unique design not only fills the gap in the digital representation of Masao facial makeup but also takes a crucial step in combining folk culture with modern technology. Through a systematic survey, this paper comprehensively collects and precisely analyzes user expectations for functionality and suggestions for improvements regarding the Masao Facial Makeup APP. Based on this, the paper develops a functional system that aligns with user needs. The art essence of Masao facial makeup is then cleverly incorporated into the app’s innovative interface design. A group of 50 representative volunteers are selected to undergo a strict feasibility test of the app, and the APP is then compared to two mainstream traditional cultural apps on the market. The results show that the Masao Facial Makeup APP demonstrates significant advantages. This APP far surpasses the control group in core dimensions such as visual effects, functional attributes, interactive experience, and operational experience, with scores of 4.2, 4.9, 4.5, and 4.6, respectively. During the testing process, volunteers highly praise the app’s interactive interface design and fully recognize the smoothness and convenience of its operation. The key research contribution lies in successfully establishing a new paradigm for the cultural inheritance of Masao facial makeup. By leveraging digital tools, it significantly enhances its dissemination effectiveness and cultural influence, providing an innovative template and practical path for the protection and inheritance of similar folk cultures. This paper strongly promotes the innovative development and sustainable inheritance of folk culture in the digital age and holds the potential to revitalize more cultural treasures with the support of modern technology. It enriches the cultural inheritance ecosystem, and expands the boundaries and possibilities of cultural transmission.