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Conventional image super-resolution reconstruction by the conventional deep learning architectures suffers from the problems of hard training and gradient disappearing. In order to solve such problems, the purpose of this paper is to propose a novel image super-resolution algorithm based on improved generative adversarial networks (GANs) with Wasserstein distance and gradient penalty.

The proposed algorithm first introduces the conventional GANs architecture, the Wasserstein distance and the gradient penalty for the task of image super-resolution reconstruction (SRWGANs-GP). In addition, a novel perceptual loss function is designed for the SRWGANs-GP to meet the task of image super-resolution reconstruction. The content loss is extracted from the deep model’s feature maps, and such features are introduced to calculate mean square error (MSE) for the loss calculation of generators.

To validate the effectiveness and feasibility of the proposed algorithm, a lot of compared experiments are applied on three common data sets, i.e. Set5, Set14 and BSD100. Experimental results have shown that the proposed SRWGANs-GP architecture has a stable error gradient and iteratively convergence. Compared with the baseline deep models, the proposed GANs models have a significant improvement on performance and efficiency for image super-resolution reconstruction. The MSE calculated by the deep model’s feature maps gives more advantages for constructing contour and texture.

Compared with the state-of-the-art algorithms, the proposed algorithm obtains a better performance on image super-resolution and better reconstruction results on contour and texture.

The study aimed at examining the regional reorganization and its implications on socio-economic development on the people of Oti region, Ghana.

The study utilized both textual data and in-depth interviews in context. Purposive and convenience sampling techniques were used to select 35 participants from the Oti Region.

The study found some critical services, and public goods have been provided and established in Oti Region since its establishment. Furthermore, it was established that residents have mixed reactions in terms of their expectations of the establishment of the new region on their livelihoods.

The conclusion and the outcome of this study cannot be generalized as a representation of the whole population of Oti Region due to a qualitative approach.

This study discovered country- and community-specific understanding, expectations and elucidations of socio-economic development.

The outcome of the study has expanded and further advanced the sparse literature in the domain, which could help politician and policymakers in future, policy direction and further help to ignite scholars' interest in the field in future

Fabric has complicated anisotropic mechanical behavior because of the woven pattern and complex physical properties. However, most current fabric simulation models are not satisfied because the models are usually geometrical models with stiffness parameters.

In this paper, the authors present a modeling technique to simulate fabric with Riemann manifold. The proposed nonlinear model is formed with ridge wave-curved surface based on the Riemann zero curvature, and the authors develop a solution to conserve the surface area. It decomposes the m × n matrix constituting the fabric into several batches and processes the fabric dots in batches. In this model, the distance between any two adjacent particles of the fabric's is assumed to be equal, and the area of the curved surface is always constant, and the inclination and decay of the ridge wave-curved surface are also considered.

As the result, the simulated shape is lifelike. In time cost performance, the model improves the efficiency of the fabric styling and meets the requirements of real-time simulation.

The proposed nonlinear model is formed with ridge wave-curved surface based on the Riemann zero curvature, and the authors develop a solution to conserve the surface area.

During the running of automobile, the stabilizer bar is frequently subjected to the impact of complex random loads, which is prone to fatigue failure and accident. In regard to this, the purpose of this paper is to study and discuss fatigue life of automobile stabilizer bar.

Durability bench test shows that failure is located at the joint of sleeve and stabilizer bar body. Based on the collection and compilation of micro-strain load spectrum of the stabilizer bar, the strain-life model is studied considering the influence of average stress and maximum stress at failure area. Seven-grade strain-life curves of the stabilizer bar are established. According to the principle of linear damage accumulation, the relationship between fatigue life and damage is discussed, then the fatigue life of stabilizer bar is predicted. Fatigue life evaluation is carried out from three aspects: reliability analysis, static analysis and fatigue life simulation.

The results show that the reliability of the test sample is 99.9 percent when the confidence is 90 percent and the durability is 1,073 load spectrum cycles; the ratios of predicted and simulated life to design life are 2.77 and 2.30, respectively.

Based on the road load characteristics of automobile stabilizer bar, the method of fatigue life prediction and evaluation is discussed, which provides a basis for the design and development of automobile chassis components.

This study aims to produce a superhydrophobic fabric surface with a layered rough structure and which are resistant to droplet adhesion. Polydimethylsiloxane (PDMS) systems doped with stearic acid modified titanium dioxide (SA-TiO₂) nanoparticles was sprayed onto the surface of cotton fabric.

This experiment therefore uses a simple method to prepare superhydrophobic textiles by spraying SA-TiO₂ particles mixed with PDMS onto the surface of cotton fabrics. The effects of the ratio of stearic acid to TiO₂, spraying times and tension on the apparent morphological structure and hydrophobic properties of the cotton fabric were investigated.

The results showed that the stearic acid-modified TiO₂ nanoparticles were hydrophobic and more uniformly dispersed in the PDMS solution. When the modification ratio of stearic acid to TiO₂ was 3:5, the water contact angle of cotton fabric was 155.48° and sliding angle was 6.67° under the applied tension for three times of spraying, showing superhydrophobicity. The fabric shows super hydrophobic and anti-adhesive properties to a wide range of liquids such as cola, dyeing liquids, tea, milk and simulated blood. The surface tension of the liquid shows a negative correlation with its adhesion to the fabric.

The SA-TiO₂ and PDMS were applied to the fabric surface by spraying, which not only gave the fabric superhydrophobic properties, but also created anti-adhesion to a wide range of droplets.

The superhydrophobic cotton fabrics prepared by this method showed good anti-adhesive behavior to common stains and simulated blood and can be used in the development of medical protective textiles.

Modification of TiO₂ with stearic acid to prepare SA-TiO₂ with excellent hydrophobic properties, which was mixed with PDMS to make suspensions. Fluorine-free superhydrophobic fabrics were prepared by spraying method. It also exhibited excellent anti-adhesive properties against blood, providing a reference for the preparation of self-cleaning and anti-adhesive surgical gowns.

This study aims to explore the government’s subsidy preference and pricing decisions of a manufacturer who produces traditional and green product simultaneously under different government subsidy policies.

The authors establish a model consisting of a government, a set of heterogeneous consumers and a manufacturer. Three government subsidy policies are investigated without government subsidy (NS), government subsidy to consumer (CS) and government subsidy to the manufacturer (MS).

The results show that the government subsidy can increase both the green product’s demand and the manufacturer’s profit. The subsidy level and government’s utility under the CS policy are equal to those under the MS policy. Furthermore, if the government’s subsidy level is exogenous, there exists a Pareto improvement region when social welfare for unit greenness level is high. That is, if the government’s subsidy level under the CS policy is higher than that under the MS policy, both government and manufacturer prefer the CS policy; otherwise, they prefer the MS policy.

This paper considers the market where there is a monopoly green manufacturer and a government that only provides subsidy policy. In fact, competition from traditional manufacturers and carbon taxes are also worth exploring in future research.

This study provides some suggestions for government subsidy and provides guidance for the manufacturer’s pricing decisions under different government subsidy policies.

This paper is the first to compare government subsidy to consumer with a government subsidy to the manufacturer and investigate the pricing decisions of a manufacturer who produces traditional and green product simultaneously by considering an endogenous subsidy level of government.

This study aims to reduce the construction safety accidents of prefabricated building (PB) projects, improve the efficiency and effectiveness of safety supervision by government departments, and provide theoretical reference for improving the safety supervision system of PB construction.

Considering the information asymmetry between government supervision departments and construction contractors and the interactive relationship between the two parties under bounded rationality, we propose an evolutionary game model for the construction safety dynamic supervision of PBs and analyze the evolutionary strategy of the game. The system dynamics (SD) method is used to simulate and analyze the evolutionary game process under a dynamic supervision strategy and the adjustment of external variables.

The cost difference between the government's strong and weak supervision, the construction contractor's additional expenditure for strengthening safety management, and other factors affect system stability. The government can dynamically adjust the penalties based on the construction contractor's subjective willingness to ignore safety management and further adjust their rate of change based on the completion of the supervision goals to improve the efficiency and effectiveness of construction safety supervision.

This study makes contributions in two areas. Through a combination of SD and an evolutionary game, it provides new insights into the strategic choice of the main body related to PB construction safety. Additionally, considering the nonlinear characteristics of construction safety supervision, it provides useful universal suggestions for PB construction safety.

Augmented reality (AR), an innovative interactive technology that can realize the synchronization and integration of virtual and reality, has been widely used in commodity displays and museum exhibitions. However, few studies have examined the effectiveness of AR-based product display in the context of historically cultural and creative product (HCCP) marketing. This study aims to focus on whether and how the application of AR technology to the HCCP display will influence consumers’ product evaluation.

This study uses three experiments to examine the impact of an AR-based product display on consumers’ evaluation of HCCPs. In experiments 1 and 2, the researchers compared the consumer’s evaluation of HCCPs under the AR-based product display condition and two other display conditions (i.e. 3D model display and photographic display) and examined the mediating role of perceived authenticity in the evaluation process. Experiment 3 tested the moderating effect of the availability of artistic detail information on weakening the negative impact of AR-based product display on the evaluation of HCCPs.

This study found that using AR-based displays harms consumers’ evaluation of HCCPs by impairing perceived authenticity. The spatial-temporal cues of real-time circumstances impede consumers’ processing of the historical attributes of the product. The dynamic AR-based display makes it hard for consumers to build the product’s connection with historical prototypes. Thus, consumers’ perception of the authenticity of HCCP is reduced. Providing artistic details during the presentation makes artistic attributes more prominent than historical attributes, allowing consumers to pay more attention to the sensory experience caused by the artistic design instead of the spatial-temporal cues of the product. At this point, the negative impact of AR-based product display on the evaluation of HCCPs will be attenuated.

First, this study shows the adverse effects of AR-based product displays in the field of HCCP marketing. AR-based product display degrades product evaluations when the displayed product has historical attributes. Second, this study extends the perceived authenticity theory to the technological experience context and establishes a theoretical connection with the AR literature. Third, this study explores the multiple characteristics of HCCPs. The historical attributes are the central attribute of HCCPs, leading consumers to perceive lower sense of authenticity due to the conflict with real-time spatiotemporal cues risen from the AR-based display. However, the artistic attributes, which are beyond the limitation of time and space, will attenuate this conflict when they become prominent.

Polylactide/nano‐silica in situ composites are synthesised and characterised in order to study their mechanical and thermal properties. The purpose of this paper is to study these properties and compare them with the pure polylactide (PLA).

Polylactide/nano‐silica in situ composites are synthesised from lactide and modified nano‐silica using stannous octoate as a catalyst. The structure and properties of the composites are characterised by gel permeation chromatography (GPC), thermal gravimetric analysis (TGA) and scanning electronic microscopy (SEM).

The results of SEM showed that nano‐silica and PLA are connected with covalent bonds, and that inorganic phases are dispersed homogeneously in the PLA matrix. The results of TGA indicated that the thermal decomposition temperature rose with the increase of silica content. The tensile strength of the composites is enhanced because of the addition of nano‐inorganic particles into PLA.

Although the preparation process is simplified by a two‐step method, attempts will be made to synthesise the polylactide/nano‐silica composites by a one‐step approach to curtail the preparation cycle.

The composites are expected to be suitable for applications in packaging materials, biomedical and pharmaceutical fields.

Preparation of polylactide/nano‐silica composites is expected to exert the respective advantages of the two ingredients and to produce more practical polymer materials.