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Tourism and natural hazards share a long pathway, owing to the fragile existential status of certain tourist destinations and voluntary and involuntary intervention of mankind in the business of natural environment. Over a course of history, numberless natural hazards prevailed and left behind some of the colossal and collateral damage on the physicality and virtuality of destinations. Volume of studies contended this direct and inverse association. Resultantly, impact measurement, ongoing imagery issues and future forecasting have been made to ease out the tourist destination from the consequences of natural hazards. Moreover, considering the inner fabric of tourism system (demand and supply side), natural hazards have been foreseen as unwanted yet necessary event to be emphasized and taken care of. Predominantly, in the existing global milieu of maximum human intervention in the climatic cycle and its outcomes in the form of global warming, climate concerns, natural hazards have been considered as inevitable and destined. Hence, it needs a comprehensive literature-based study to assess the risk factor of natural hazards on the tourist destinations. This study, in acquiescence to address this grey section, intends to explore the existing studies (drafted on the risks impacts of natural hazards on demand, supply and ancillary segments of tourism) and structure the findings thematically and orchestrate these findings in the existing body of literature. Implications from the findings have been presented.

This paper aims to investigate and assess a perspective of combining high-strength-steel endplate with mild-steel beam and column in endplate connections.

First, experimental tests on high strength steel endplate connections were conducted at fire temperature 550°C and at an ambient temperature for reference.

The moment-rotation characteristic, rotation capacity and failure mode of high-strength-steel endplate connections in fire and at an ambient temperature were obtained through tests and compared with those of mild-steel endplate connections. Further, the provisions of Eurocode 3 were validated with test results. Moreover, the numerical study was carried out via ABAQUS and verified against the experimental results.

It is found that a thinner high-strength-steel endplate can enhance the connection’s rotation capacity both at an ambient temperature and in fire (which guarantees the safety of an entire structure) and simultaneously achieve almost the same moment resistance with a mild steel endplate connection.

R&D consortia as a new R&D cooperative form flourished in Japan, the USA, and Europe and can be regarded as a major tool for promoting industrial technological innovation and enhancing industry competitiveness. Inspired by R&D consortia in advanced countries, Taiwan and the Chinese mainland seek to develop the cooperative R&D mechanism in their own distinctive contexts. The purpose of this paper is to identify the patterns of their formation and development and to reveal the dynamics of R&D consortia (termed “public technological platforms” – PTPs) in the Chinese mainland) to give some implications for other developing countries that try to model the cooperative R&D policy for their own technology catch‐up programmes.

The paper provides an explanatory framework for analyzing how Taiwan and the Chinese mainland seek to develop R&D consortia based on comparative analysis and case study.

R&D consortia in Taiwan and PTPs in the Chinese mainland have unique structural characteristics with their common catch‐up goals and have been developing in different ways reflecting the relationships and interaction between academia, industry, and government. The effectiveness of R&D consortia is largely determined by the institutional arrangements including goal setting, organizational arrangements, and government involvement.

Further analysis of R&D consortia and PTPs would be required to form empirical studies based on the collection of more extensive data.

The key to R&D consortia/PTPs' success is how to devise institutional arrangements to ensure effective cooperation between academia, industry, and government and to implement certain technology strategies effectively.

This research contributes by identifying the differences in development of Taiwan R&D consortia and Chinese mainland PTPs and by revealing their evolutionary process.

Corrosion inhibitors for copper immersed in emulsion were investigated by experiments and theoretical calculations, and this study aims to propose a new inhibition mechanism of the inhibitors having protective effects for copper corrosion.

Adsorption behavior of penta-heterocycles (thiophene, 1,2,5-oxadiazole, furan, 2 H-1,2,3-triazole, pyrrole and 1,2,5-thiadiazole) as corrosion inhibitors for copper immersed in oil-in-water (O/W) emulsions was investigated by weight loss, electrochemical tests, morphological characterization and theoretical calculations.

The orders of inhibition effect are furan < pyrrole < thiophene < 1,2,5-oxadiazole < 2H-1,2,3-triazole < 1,2,5-thiadiazole, and 1,2,5-thiadiazole at 0.5 mM has the best inhibition effect for copper immersed in emulsion. The results of scanning probe microscope, scanning electron microscope and electrochemical test show that a protective barrier can be formed on the surface of copper substrate with six corrosion inhibitors, thus effectively inhibiting the corrosion of copper mainly through chemisorption and following Langmuir’s adsorption isotherm.

Quantum chemical and molecular dynamic simulations demonstrate that all these compounds attached to Cu matrix with a flat-adsorption mode to prevent the emulsion corrode copper. Adsorbed inhibitors act as a barrier at Cu matrix to block corrosion and improve hydrophobicity.

The purpose of this paper is to study an electrolytic etching method to prepare fine lines on printed circuit board (PCB). And the influence of organics on the side corrosion protection of PCB fine lines during electrolytic etching is studied in detail.

In this paper, the etching factor of PCB fine lines produced by new method and the traditional method was analyzed by the metallographic microscope. In addition, field emission scanning electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS) were used to study the inhibition of undercut of the four organometallic corrosion inhibitors with 2,5-dimercapto-1,3,4-thiadiazole, benzotriazole, l-phenylalanine and l-tryptophan in the electrolytic etching process.

The SEM results show that corrosion inhibitors can greatly inhibit undercut of PCB fine lines during electrolytic etching process. XPS results indicate that N and S atoms on corrosion inhibitors can form covalent bonds with copper during electrolytic etching process, which can be adsorbed on sidewall of PCB fine lines to form a dense protective film, thereby inhibiting undercut of PCB fine lines. Quantum chemical calculations show that four corrosion inhibitor molecules tend to be parallel to copper surface and adsorb on copper surface in an optimal form. COMSOL Multiphysics simulation revealed that there is a significant difference in the amount of corrosion inhibitor adsorbed on sidewall of the fine line and the etching area.

As a clean production technology, electrolytic etching method has a good development indicator for the production of high-quality fine lines in PCB industry in the future. And it is of great significance in saving resources and reducing environmental pollution.

It was verified that the micro-texture in the front and back of the tool at the same time had a positive effect on improving the milling behavior and surface quality of the tool. The purpose of this study is to explore the rationality of simultaneous placement of micro-textures on the front and rear surfaces of ball-end milling cutters, analyze the influence of micro-texture parameters on tool milling behavior and workpiece surface quality, reveal its internal mechanism, and obtain the best micro-texture parameters by optimization.

First, the mechanism of micro-texture is studied based on the energy loss model. Second, the orthogonal experiment is designed to analyze the influence of micro-texture parameters on tool milling behavior and reveal its mechanism by combining simulation technology and cutting experiment. Finally, the parameters are optimized based on the artificial bee colony algorithm.

The results show that the simultaneous placement of micro-texture on the rake face and flank face of the tool has a positive effect on improving the milling behavior and surface quality of the tool. Taking milling force, tool wear and surface roughness as the evaluation criteria, the optimal parameter combination is obtained: the rake face micro-texture diameter is 50 µm, the distance from the micro-texture is 200 µm and the distance from the cutting edge is 110 µm; the diameter of the micro-textured flank is 40 µm, the distance from the micro-texture is 170 µm and the distance from the cutting edge is 130 µm.

Taking milling force, tool wear and surface roughness as the evaluation criteria, the optimal parameter combination is obtained: the rake face micro-texture diameter is 50 µm, the distance from the micro-texture is 200 µm and the distance from the cutting edge is 110 µm; the diameter of the micro-textured flank is 40 µm, the distance from the micro-texture is 170 µm and the distance from the cutting edge is 130 µm, which provides theoretical support for the further study of the micro-textured tool.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-01-2023-0022/

Owing to the consumption of considerable resources in developing physical pipe prediction models and the fact that the statistical models cannot fit the failure records perfectly, the purpose of this paper is to use data mining method to analyze and predict the risks of water pipe failure via considering attributes and location of pipes in historical failure records. One of the Automatized Machine Learning (AutoML) methods, tree-based pipeline optimization technique (TPOT) was used as the key data mining technique in this research.

By considering pipeline attributes, environmental factors and historical pipeline broke/breaks records, a water pipeline failure prediction method is proposed in this research. Regression analysis, genetic algorithm, machine learning, data mining approaches are used to analyze and predict the probability of pipeline failure. TPOT was used as the key data mining technique. A case study was carried out in a specific area in China to investigate the relationships between pipeline broke/breaks and relevant parameters, such as pipeline age, materials, diameter, pipeline density and so on.

By integrating the prediction models for individual pipelines and small research regions, a prediction model is developed to describe the probability of water pipe failures and validated by real data. A high fitting degree is achieved, which means a good potential of using the proposed method in reality as a guideline for identifying areas with high risks and taking proactive measures and optimizing the resources allocation for water supply companies.

Different models are developed to have better prediction on regional or individual pipeline. A comparison between the predicted values with real records has shown that a preliminary model has a good potential in predicting the future failure risks.

Cemented conglomerate accumulation is a weak and heterogeneous medium that occurs in western China. It consists mainly of argillaceous cement that loses strength rapidly upon contact with water, leading to collapse instability failure. Its deformation failure mechanism is complex and poorly understood. In this paper, the erosion failure mechanism of cemented conglomerate accumulation is investigated.

The collapse failure process after erosion of the slope foot for typical cemented conglomerate accumulation is studied based on field investigation using the particle discrete element method. And how the medium composition, slope angle and cementation degree influence the failure mode and process of the cemented conglomerate accumulation is examined.

The foot erosion of slope induces a tensile failure that typically manifests as “erosion at the foot of slope – tensile cracking at the back edge of slope top – integral collapse.” The collapse failure is more likely to occur when the cemented conglomerate accumulation has a higher rock content, a steeper slope angle or a weaker cementation degree.

A model based on rigid blocks and disk particles to simulate the cemented conglomerate accumulation is developed. It shows that the hydraulic erosion at the foot of the slope resulted in a different failure mechanism than that of general slopes. The results can inform the stability management, disaster prevention and mitigation of similar slopes.

This study aims to examine the spatial distribution and movement patterns of creative talent within the Yangtze River Delta Bay Area (YRDBA) and the factors that contribute to such trends.

The study examines data for the period 2006 to 2018 from the regions that constitute the YRDBA: Shanghai, Jiangsu, Zhejiang and Anhui. Spatial distribution pattern analysis is adopted to interpret the flow tendency both spatially and chronologically and a Lasso regression model is used to investigate variables that influence this tendency.

It is found that creative talents in YRDBA are accumulating steadily in provincial capitals and financially advanced cities. Technology infrastructure, women’s rights, medical care amenities and housing affordability are major determinants of such spatial distribution. The talent spillover effect raises attention in talent saturated areas, while the surrounding regions should prepare to receive and retain the overflow.

Creative talents geography in China and the dynamism of creative talent in YRDBA are rarely discussed. Determinants of creative talents lack systematic pectination, literature that filters multiple determinants of creative talents migration is limited and discussion specific to the Chinese context is scarce. This case can, thus, provide insights into creative talents in developing countries and add to the current literature, bridge the gap of the current understanding of creative talents in YRDBA – the innovation and development center in China and provide a reference for policymakers when making macro decisions.