bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inverse Design of Metamaterials via Deep Learning for Electromagnetically Induced Transparency
Authors: Lu Fushan , Wang Jianwei , Li Handong , Qing Chanchan , Lei Tao , Xiang Tianyu , Hu Shengbo 
Published: December 2022

Abstract
The physical limitations of metamaterial structures cannot be solved under the conditions of high time cost and complex algorithms in metamaterial inverse engineering in the past. This paper proposes limiting the value range of metamaterial structural parameters through a single structural parameter acquisition method (SSPAM) for the first time, which will meet the expected values of our predictions and obtain high-quality and effective data in a relatively short time. This is the first attempt to use this method to solve the problem of physical limitations in the inverse design of metamaterials effectively. Furthermore, it is a further improvement of inverse design, enhances the reliability of metamaterial inverse design once again, and realizes the idea of on-demand design. The mean squared error of our best deep learning model is 0.00075 and 0.00026 in the training set and validation set, respectively, and 3.0×10−5 in the test set. We input three specific points of the EIT spectrum into our optimal model to predict the corresponding EIT structural parameters inversely, verified by numerical simulation calculation, and obtained satisfactory results. This work can provide new ideas and methods for the inverse design of metamaterials for other models.
Smart meter life prediction method based on health index and random forest
Authors: Wang Jun , Li Ruyi , Wang Hao , Lu Lijun , Li Mingzhe , Li Aibeiduo 
Published: December 2022

Abstract
Smart electricity meter is the key instrument to realize the accurate measurement of electricity consumption. However, with the increase of the service life of electricity meter, its measurement accuracy will deteriorate. Aiming at the problems that a single parameter cannot accurately characterize the performance degradation process of the electric meter, and the traditional intelligent learning model is difficult to accurately fit the degradation model of the smart electric meter, a new method is proposed to fuse the data to construct the electric meter health index, and combine the multi-model similarity matching and the integrated model to calculate the residual energy of the electric meter. Methods of life prediction. Hierarchical clustering and silhouette coefficients are used to filter parameters and fuse them into a meter health index. Multi-model similarity matching is used for regression model prediction to optimize the prediction results of the model. Select a meter measurement data set to verify the effectiveness of the proposed method. The results show that the method has the advantages of fast prediction speed, and the fusion of health index and multi-model similarity matching greatly improves the prediction accuracy of the remaining life of the electric meter.
Study on removal of formaldehyde from ceramic carving brick by formaldehyde dehydrogenase
Authors: Guo Zhiyong 
Published: December 2022

Abstract
Formaldehyde is a very representative indoor organic pollutant, which can exist in indoor spaces for a long time. Using purified formaldehyde dehydrogenase can improve the efficiency of formaldehyde degradation. Comparing the enzyme activities of externally purified formaldehyde dehydrogenase at different temperatures and pH values, a simple, rapid, and rough evaluation method for verifying the removal of formaldehyde by the formaldehyde dehydrogenase was preliminarily established.
Graphene-based composites for supercapacitors
Authors: Li Jing , Xiao Tongtong , Yu Xiaoxi , Wang Mingyuan 
Published: December 2022

Abstract
Smart devices that are portable and wearable have advanced significantly over the years. Further research on compatible storage devices with tiny, light and flexible properties is required to make wearable electronic devices more versatile, lightweight, smart, and commercially viable. Because of their advantages of having a high-power density, long cycle longevity, superior mechanical strength, good safety, and ease of assembly, supercapacitors have sparked a great deal of interest. Nevertheless, if the conventional supercapacitor is distorted by an external force, the power storage qualities would be significantly diminished or perhaps even eliminated. The primary component of capacitors is the electrode material, hence it is essential to produce extremely flexible electrode materials with superior energy-storage capabilities. This study introduces the supercapacitor energy storage theory and the current state of graphene applications in flexible supercapacitors. Additionally, a succinct summary of the research on pseudo, double-layer, and asymmetric capacitors is provided. Future progress and the difficulties that flexible supercapacitor electrode materials still confront are explored.
Characterization and properties of nanocellulose-enhanced pulp-molded lunch boxes
Authors: Han Guocheng 
Published: December 2022

Abstract
Fluorine-free additives for food packaging have attracted numerous research concerns. In this paper, pulp-molded lunch boxes were prepared with bamboo pulp and bagasse pulp, and nanocellulose functional material was coated on the surface of pulp-molded lunch boxes by spin coating, in order to investigate the apparent and load-bearing properties. The results showed that compared with conventional pulp-molded lunch boxes with fluorinated oil-proof additives, the microscopic surface of the pulp-molded lunch boxes coated with nanocellulose-reinforced material is flatter and uniform, and the void ratio is significantly reduced. Also, the nanocellulose functional material can remarkably improve the deformation resistance of the paper box, and its load-bearing property for cold water, hot water, and hot meals are better than that of conventional pulp-molded lunch boxes. It’s believed that the nanocellulose functional material has the feasibility of being used in hot chain takeaway scenarios.
The Applications of Nano-Piezoelectric Composite in Flexible Wearable Self-Powered System
Authors: Chen Xinyu 
Published: December 2022

Abstract
Nanomaterials have permeated every sphere of life, industry, and research. Due to the unique piezoelectric properties of nanometer materials and piezoelectric types, it is possible to convert mechanical energy into electricity by certain mathematical relationships, equivalent to the energy supply for equipment. This capability allows for the creation of sensitive sensor elements that can perceive the external environment on various levels, including thermal, mechanical, electrical, and optical. The generation of piezoelectric nanogenerators indicates that nanomaterials devices can be expected to achieve a natural self-powered system without external power or only provide a small amount of energy, and play an irreplaceable role in the fields of microelectronics, artificial intelligence, and human-computer interaction. In this review, examples of nano-piezoelectric ceramic materials and nano-piezoelectric polymers that can be applied to flexible self-powered systems are listed, and the advantages and problems of these two kinds of materials in flexible self-powered systems are comprehensively analyzed. This paper focuses on the performance improvement of 0-3 nano-composites on the original piezoelectric ceramics and polymer materials and their application in the flexible wearable self-powered system. In addition, it summarizes the difficulties and challenges in their practical applications and provides future research directions for researchers.
Experimental study on distillation and purification of reclaimed NMP
Authors: Wang HongMei , Wu BaiZhi , Jiang Feng , Li ChunLei 
Published: December 2022

Abstract
With the proposal of double carbon target, NMP is widely used in lithium battery industry, chemical process, petroleum industry and other industries. Its purity directly affects the production and quality of products. In this paper, the NMP recovered liquid is taken as the experimental object, and the atmospheric and vacuum distillation methods are used to distill the recovered liquid for many times to remove impurities, so as to reduce the content of impurity elements such as Ca, Na, Si and water molecules. The Karl Fischer moisture meter, ICP-OES and ultraviolet photometer are used to detect and compare the experimental results. It is found that the moisture in the NMP recovered by distillation can be gradually reduced. Through UV analysis, in the second temperature step of distillation, 274 nm and 325 nm impurity peaks can be removed to achieve the purpose of removing impurity peaks and effectively reduce the impurity content in NMP recovery solution. The experimental method for removing impurities of Ca, Na, Si elements and water molecules in NMP recovery solution proposed in this paper provides a certain reference for NMP purification research.
Formation Mechanism of Novel Chips and Application Research in Biochemistry
Authors: Wei Zeheng , Zhang Lin 
Published: December 2022

AbstractIt is crucial to systematically study the interaction between samples and components at different concentrations in biochemical analysis. Microfluidic chip technology can complete precise liquid control in micron-scale channels and has been widely used in the biochemical analysis in recent years. The microfluidic concentration gradient chip is a tool that can rapidly construct a stable biochemical concentration gradient, which can be combined with most cell culture, chemical analysis, and other technologies to provide a new platform for traditional biochemical analysis. This paper reviews the formation mechanism of microfluidic concentration gradient chips and their applications in biochemistry and other fields and provides new ideas for broadening the application research of concentration gradients.
Properties and Applications of Transition Metal Carbide Two-Dimensional Materials
Authors: Tian Peilin 
Published: December 2022

Abstract
Two-dimensional transition metal carbides (2D TMCs) have become a research hotspot in the fields of energy storage, catalysis, electromagnetic shielding, sensors, superconductivity, and so on in recent years because of their excellent physical and chemical properties, including high-volume capacitance, electrochromic properties, high electronic conductivity, high melting point, high hardness, and high chemical stability. In this paper, the properties of transition metal carbide two-dimensional materials are analyzed from the perspective of crystal structure. Combined with the properties of transition metal carbide two-dimensional materials, their applications in the fields of electrocatalysis and photocatalysis, gas catalysis and sensors, energy storage, medical treatment, and superconductivity are briefly introduced and summarized, which provides a reference for further research.
Study on the Synthesis and Antibacterial Activity of Cobalt-Metal Organic Framework
Authors: Zhan Yujuan , Yu Ying , Wu Pian , Ding Ping 
Published: December 2022

Abstract
Hydrogen peroxide (H2O2) has been widely used in the treatment of antimicrobial infections, but high doses of H2O2 can cause damage to normal tissues. Avoiding the use of high doses of H2O2 as well as being effective against multidrug-resistant bacteria, nanomaterials with peroxidase-like properties have been developed as a new class of antimicrobial agents. Here, we have synthesized Co-TCPP(Fe)(Co-MOF), a metal-organic framework material with a laminar folded structure and a heterogeneous surface morphology, using a solvothermal method, which exhibits good bactericidal activity against Pseudomonas aeruginosa with the help of low concentrations of H2O2.
Study on property control of intercalated melt-blown nonwovens
Authors: Mai Yijun , Zheng Zhixing , Hou Lei , Chen Hao 
Published: December 2022

Abstract
Melt-blown nonwovens have fine fiber diameter, excellent filtration performance, small pores, and large specific surface area. However, the fluffiness of the material is not good enough. Adding conventional fibers into the melt-blown material can increase the thickness and fluffiness of the material, and improve the sound-absorbing performance and heat preservation performance of the material. To study how much fiber can be added to make melt-blown nonwovens better, grey correlation analysis is used to explore the influence of intercalation rate on each parameter. BP neural network is used for training, with process parameters as the input index and structural variables as the output index, and the results are obtained. According to the principle of statistics, the data of the results are analyzed and the process parameters of the highest filtration are obtained. Finally, the random forest regression model is used to establish the objective programming function to predict the added constraints.
Indoor environmental factors affecting the productivity of workers in office buildings
Authors: Liu Fengxuan , Chang-Richards Alice , Wang Kevin I-Kai , Dirks Kim Natasha 
Published: December 2022

Abstract
Poor indoor environmental quality (IEQ) has been found to contribute significantly to productivity losses, with the extent of the contribution differing according to the type of office work in which workers are engaged. However, few studies focus specifically on the occupants of university office buildings where the work being undertaken involves a significant amount of academic research that is expected to require high levels of concentration, insight, creativity, and consistency than is needed in many other types of work. To develop a preliminary understanding of the IEQ factors affecting the productivity of people working in university office buildings, a pilot questionnaire was administered to postgraduate students to validate the IEQ factors that have been found to impact on productivity. To date, twelve postgraduate students from three different office buildings in The University of Auckland completed the questionnaire. The results showed that noise, temperature, air quality, and lighting were the factors most reported on with respect to effects on work productivity. The adopted IEQ factors in this questionnaire instrument is reliable. The findings from this study will help advance understanding of the IEQ factors affecting the productivity of workers in university office buildings, and provide insights for architects, building owners, office managers, and office users to help prevent or mitigate negative impacts on productivity by managing the IEQ conditions in workplaces. Future research will involve the analysis of data from staff as well as students to identify any possible differences that might exist between the two groups of workers engaged in academic research.
Resilience of Canadian residential brick veneer wall construction to climate change
Authors: Defo M , Lacasse M 
Published: December 2022

Abstract
Canada employs a prescriptive-based code for residential buildings. The minimum requirements as prescribed in the 2015 National Building Code were developed based on historical climate which was assumed static. It is now evident that the climate is changing and it is anticipated that wind-driven rain events will be more frequent, of longer duration and of increased intensity. These changes may affect the durability of wall assemblies designed following the minimum requirements set in the building code. In this study, the moisture performance of residential wood-framed walls using brick veneer as cladding and meeting the minimum requirements of the National Building Code were evaluated for different climatic regions of Canada. Various types of brick veneer were evaluated using hygrothermal simulations and projected future climate loads. The mold growth index on the sheathing panel was used as performance indicator. Results showed that the future moisture performance of brick veneer walls depends on the brick properties and varies with climatic region. In particular, for brick veneer having relatively high water absorption coefficient and lower vapor permeability, there may be a heightened risk to mold growth in the future if used in locations on the east and west coasts of Canada. As consequence, the minimum requirements for brick veneer walls may need to be reviewed in these locations to ensure their long-term performance.
Digitalization of climate adaptation planning: the potential of simulation software tools for landscape design
Authors: Keibach E , Shayesteh H 
Published: December 2022

Abstract
Climate change plays a significant role in the landscape architecture discipline seeking to solve the problems related to floods and heatwaves. Climate adaptation planning deals with a high level of uncertainty while precipitating future climate events to prepare adaptable landscape designs. However, digital technologies are rarely implemented into landscape design projects with deep environmental concerns. Meanwhile, digital tools have the potential to improve climate adaptation planning while calculating and simulating the adaptive capacity of design. Therefore, this research investigates the capabilities and limitations of software tools suitable for climate adaptation projects. The software tools are evaluated using the ISO 25010 framework comparing their capabilities. The main method used for this research is based on objective experiments while implementing different software tools to conceptual landscape design on a case study project. The experiment revealed that the implementation process deals with many limitations including interoperability and data loss. Moreover, this research conducted in-depth interviews with project stakeholders including planners and clients to identify their problems, needs and expectations regarding software tools. Finally, the roadmap on the software selection resulting from this research provides the guidelines on how to select the most suitable tool for various climate adaptation projects.
Resilience of Industrial Buildings to Wildland-Urban Interface Fires
Authors: Lopes Rúben F R , Rodrigues João Paulo C , Camargo Aline Lopes , Tadeu António José B 
Published: December 2022

Abstract
Forest fires have affected the Wildland-Urban Interface (WUI) in the last years with greater violence, causing damage to houses, industrial and commercial buildings. Businesses face the same fire hazard as houses but with a much greater potential due to labour interruption, job losses, and tax revenue impacts. In Canada, forest fires affected oilsand camps in 2011 and 2016, disrupting oil and gas production and damages of billions of Canadian Dollars. Camp Fire in 2018, the most destructive forest fire to date in the United States, destroyed houses, commercial buildings and other structures. In Portugal, the 2017 Large Forest Fires caused damages to almost 600 industrial buildings in the WUI and million euros losses. Assessing post-fire damage provides valuable information for future planning, fire risk mitigation, and improving fire resilience in the built environment. Considering WUI fires’ economic and social impact in industrial areas is essential to better understand this particular situation. In this sense, following the forest fires of 2017 in Portugal, a field research was conducted to assess the type of industrial building damages endured and know which construction systems were employed in their repair. The assessment considered the type of structure, materials used in facades and roofs, type of openings, ground waterproofing of uncovered areas, and material storage usage. There was also a verification of the materials used after the rehabilitation. This last stage concludes that building fire regulation needs to change for mitigating the risk of industrial buildings getting destroyed by Forest Fires in the WUI.
Flood risk management in New Zealand: A case study of the Northland urban community
Authors: Auliagisni Widi , Wilkinson Suzanne , Elkharboutly Mohamed 
Published: December 2022

AbstractThe Northland river is characterised by having a short stream and large catchments. Heavy rains in the region trigger the rapid rise of the water levels and causes flooding, affecting the urban community in the flood plain with flash floods and river overflow as double threats. The government-initiated programs to protect urban communities such as ‘predict and mitigate’ but primarily focuses on physical infrastructure protection. While providing infrastructure is beneficial, developing a resilient community comprises more holistic strategies. There is a need for improving the local capacity to enhance resilience. A resilient, human-focused mitigation strategy which includes the affected communities, as well as the existing infrastructure, can reduce flood risks more efficiently. This paper explores the ways the Northland communities follow to mitigate existing flood risks, including their perceptions of the current flood protection strategies. This study investigates also the social and cultural elements that influence responses to flood risks. The main recommendation, of the study advocates a community-based risk management plan to complement the government’s strategy to efficiently mitigate flood risk in the urban Northland.
Prototyping an immersive virtual reality training system for urban-scale evacuation using 360-degree panoramas
Authors: Feng Z , Liu C , González V A , Lovreglio R , Nilsson D 
Published: December 2022

AbstractUrban-scale evacuation may take place because of disasters or emergencies. Efforts have been made to enhance the preparedness of communities for urban-scale evacuation. For instance, wayfinding systems are installed and implemented in tsunami-prone regions, indicating the evacuation routes to high ground or inland. However, communities tend not to familiarise themselves with wayfinding systems and the best evacuation routes because tsunami evacuation drills are not normally carried out given the challenges to plan and run them. This study proposes a rapid development approach for immersive virtual reality (IVR) training systems suited to urban-scale evacuation. This approach utilises 360-degree panoramas to represent an urban environment in IVR, getting rid of the process of 3D modelling or reality capture to reconstruct a virtual urban environment. The 360-degree panoramas used in this study were directly acquired via a 360-degree camera. Immediate feedback is applied as a pedagogical approach to inform users. The training objective is to make users capable of identifying evacuation signs and the best evacuation route. This paper outlines a development framework to demonstrate the prototyping workflow of a 360-degree panoramic IVR training system suited to urban-scale evacuation. 360-degree panoramic IVR requires low levels of development efforts and computational resources. Therefore, urban-scale evacuation drills become possible to be rolled out easily and quickly to a wider population using 360-degree panoramic IVR.