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The output of academic literature has increased significantly due to digital technology, presenting researchers with a challenge across every discipline, including materials science, as it is impossible to manually read and extract knowledge from millions of published literature. The purpose of this study is to address this challenge by exploring knowledge extraction in materials science, as applied to digital scholarship. An overriding goal is to help inform readers about the status knowledge extraction in materials science.

The authors conducted a two-part analysis, comparing knowledge extraction methods applied materials science scholarship, across a sample of 22 articles; followed by a comparison of HIVE-4-MAT, an ontology-based knowledge extraction and MatScholar, a named entity recognition (NER) application. This paper covers contextual background, and a review of three tiers of knowledge extraction (ontology-based, NER and relation extraction), followed by the research goals and approach.

The results indicate three key needs for researchers to consider for advancing knowledge extraction: the need for materials science focused corpora; the need for researchers to define the scope of the research being pursued, and the need to understand the tradeoffs among different knowledge extraction methods. This paper also points to future material science research potential with relation extraction and increased availability of ontologies.

To the best of the authors’ knowledge, there are very few studies examining knowledge extraction in materials science. This work makes an important contribution to this underexplored research area.

Grounded in two primary theories such as (1) the triangular alignment model and (2) the technology–organization–environment framework, this paper aims to develop appropriate scales to measure the e-sourcing experience index (EEI).

The sample includes a total of 630 e-sourcing platform users in the US and India who have already utilized e-commerce platforms. Item response theory and factor analysis were used for the psychometric analysis. Measurement invariance was established between the Indian and US participants, indicating similar conceptualization of the items across the two cultures.

The study's results demonstrated that users have a better experience when online sourcing platforms provide adequate resources for making sourcing decisions, finding potential buyers and managing sourcing activities more efficiently. From the perspective of e-sourcing platforms, suppliers' performance and users' experiences can be improved when businesses address the concerns indicated in the five factors.

The study's objective was to develop the EEI in order to assess suppliers' experiences with e-sourcing platforms. Due to the diffusion of innovation theory (DOI), different stages of adaptation may cause varied experiences and relationships with buyers.

From a theoretical perspective, this study is one of the few to combine triangular alignment model (TAM) and technology–organization–environment (TOE) theories and to develop a reliable and valid scale (EEI) for user experiences with online sourcing platforms. Based on the previous scales, the EEI was found to be well in line with the established theories on traditional apparel sourcing, and, at the same time, considered the particulars of e-sourcing practices.

The Soybean Producer Subsidy Policy (SPSP), an agricultural support policy enacted in China within the past few years, is designed to optimise crop planting structure. This study analyses the impact of SPSP on the crop planting structure in terms of absolute and comparative incomes and elucidates the mechanisms involved.

Utilising balanced county-level panel data from 966 counties in China’s major soybean-producing regions, spanning from 2008 to 2021, we investigate the impacts of SPSP on crop planting structure by applying a difference-in-difference (DID) model.

The findings reveal several crucial insights. First, SPSP optimises the crop planting structure in Northeast China, primarily through an expansion in the area sown to soybeans and a simultaneous reduction in the area sown to maize. Second, the impacts of SPSP gradually strengthen over time but begin to weaken by 2021. Third, heterogeneity analysis indicates that the effects of SPSP are most pronounced in Eastern Inner Mongolia, followed by Heilongjiang, Jilin, and Liaoning. Finally, SPSP incentivises farmers to expand soybean sown areas by improving absolute rather than comparative incomes from soybean cultivation.

Addressing structural contradictions within China’s food supply chain necessitates the adjustment of support policies for different crops to mitigate market distortions. Establishing a holistic agricultural support system encompassing various crops could promote sustainable agricultural practices in the future.

Our findings are valuable for policy makers in China and globally who aim to establish support systems for regional linkages that include a variety of crops.

Sustainable houses remain at a low rate among the housing stock in New Zealand. Government, industry and the public are wanting to deliver homes that are energy and water efficient, healthy and adaptive to the climate. The purpose of this paper is to find out the driving forces influencing the uptake of sustainable housing in New Zealand.

Comparative case studies of Hobsonville Point, Wynyard Quarter and Long Bay were adopted as the primary research method. Semi-structured interviews and an online survey were both conducted for data collection to increase the validity of the research.

Central and local governments were the most effective driving forces for encouraging sustainable housing. Corporate brand and leadership were critical drivers for public-owned companies, whereas private-owned companies were mainly driven by local governments’ policies and strategies. Social awareness and client demand were increasing to influence the sustainable housing, but there was still room for improvement.

The developers can learn from the sustainable development frameworks to set the sustainability goals. Policymakers can draw lessons from the public sectors’ experiences to carry out new policies and inspire the private sectors to follow. Besides, the basic framework could help the further study to use a larger sample size and more rigorous statistical analysis to explore the synergies among the identified drivers.

This paper provides the useful information on how to promote the uptake of sustainable housing in New Zealand.

Because of the properties of loess, the occurrence of collapse following deformation of a large settlement is a common problem during the excavation of tunnels on loess ground. Hence, risk management for safer loess tunnel construction is of great significance. The purpose of this paper is to explore the influence of factors on collapse risk of loess tunnels and establish a risk assessment model using rough set theory and extension theory.

The surrounding rock level, groundwater conditions, burial depth, excavation method and support close time were selected as the factors and settlement deformation was the verification index for risk assessment. First, using rough set theory, the influence of risk factors on the collapse risk of loess tunnels was calculated by researching engineering data of excavated sections. Then, a collapse risk assessment model was developed based on extension theory. As the final step, the model was applied to practical engineering in the Loess Plateau of China.

The weights of surrounding rock level, groundwater conditions, burial depth, excavation method and support close time obtained using rough set theory were respectively 10.811 per cent, 18.919 per cent, 24.324 per cent, 40.541 per cent and 5.406 per cent. The assessment results obtained using the model were in good agreement with field observations.

This study highlights key points in collapse risk management of loess tunnels, which could be very useful for future construction methods. The model, using easily obtained parameters, helps in predicting the collapse risk level of loess tunnels excavated under different geological conditions and by different construction organizations and provides a reference for future studies.

This paper aims to improve the corrosion resistance of AH36 carbon steel, an epoxy resin (EP)-based superhydrophobic coating was prepared on the surface of AH36 carbon steel.

The hydroxylated multi-walled carbon nanotubes were used as nanocontainers, and the corrosion inhibitor L-proline was loaded by negative pressure method and then modified it with 3-aminopropyltriethoxysilane and 3-mercaptopropyltrimethoxysilane, got functionalized hydroxy carbon nanotubes (KH-CNTs@LP). The KH-CNTs@LP was mixed with the EP, and the KH-CNTs@LP/EP superhydrophobic coating was successfully prepared on the surface of the AH36 carbon steel matrix by spraying.

The results showed that the water contact angle of the KH-CNTs@LP/EP superhydrophobic coating is 155.2° and the rolling angle is 5°. The KH-CNTs@LP/EP superhydrophobic coating had a good corrosion resistance in the pH = 4 corrosion environment, |Z|0.01 Hz was 7.21 × 10⁷ Ω·cm².

The KH-CNTs@LP/EP superhydrophobic coating is pH-responsive and releases L-proline, which increased the impedance of the coating and can effectively improve the protection efficiency of the coating on the metal. The active protection is provided by loaded L-proline inhibitor from KH-CNTs@LP, whereas the passive protection is achieved through the water rejection of superhydrophobic surfaces.

This study aims to test the effects of Technology-related Divestitures (TRDs) on firms' exploratory innovation. The moderating effects of firms' internal and external resource coordination activities, resource buffering and bridging, are also explored.

A set of data including 1,372 Chinese listed firms from 2009 to 2018 is adopted. Based on propensity score matching sample, random-effect Tobit models were employed to test the hypotheses.

The empirical results indicate that TRDs inhibit firms' exploratory innovation, while both resource buffering and bridging can mitigate this negative effect. This implies that to promote exploratory innovation, resource coordination activities are the essential.

The research findings can contribute to both the exploratory innovation and technological divestiture literature. The test on the moderating roles of resource buffering and bridging can also extend our understanding of the effect of TRDs on firms' exploratory innovation. Accordingly, several practical implications can be provided. This is especially important for strategic decisions of firms from emerging and developing countries, which often lack sufficient internal resources and strong technological capabilities to develop exploratory innovation.

This paper aims to prepare an oil-impregnated porous polytetrafluoroethylene (PTFE) composite with advanced tribological properties using citric acid as a novel pore-forming agent.

Citric acid (CA) was used to form pores in PTFE, and then oil-impregnated PTFE composites were prepared. The pore-forming efficiency of CA was evaluated. The possible mechanism of lubrication was proposed according to the tribological properties.

The results show CA is an efficient pore-forming agent and completely removed, and the porosity of the PTFE increases with the increase of the CA content. The oil-impregnated porous PTFE exhibits an excellent tribological performance, an increased wear resistance of 77.29% was realized in comparison with neat PTFE.

This study enhances understanding of the lubrication mechanism of oil-impregnated porous polymers and guides for their tribological applications.

This paper aims to the improvement of permanent magnet shape in the popular permanent magnet synchronous machine (PMSM) is proposed in this paper in view to mitigate cogging torque magnitude and torque ripple.

A two-dimensional exact analytical approach of magnetic field distribution is established for the PMSM considering magnet shape and slot opening. The optimal magnet shape is constituted of small number of layers stacked radially. The thickness of each magnet layer is considered equal to about one mm or more; however, a parametric study was performed to determine pole pitch ratio value. The finite element method is used to validate the analytical results.

Cogging torque peaks and torque ripples can be mitigated significantly more than 90 per cent compared to results issued from machine having classical magnet shape. Raising the number of magnet layers can give better results. The results of this paper are compared also with those issued from the machine having sinusoidal magnet shape and give a good solution.

A new technique for cogging torque and torque ripple mitigation is proposed in this paper by changing permanent magnet shape. The proposed final magnet shape is constituted of a set of stacked and well-dimensioned layers relative to the opening angle.

The color painting of ancient buildings has high historical and artistic value but is prone to aging due to long-term outdoor exposure. The purpose of this study is to develop a new type of sealing coating to mitigate the impact of ultraviolet (UV) light on color painting.

The new coating was subjected to a 500-h UV-aging test. Compared with the existing acrylic resin Primal AC33, the UV aging behavior of the new coating, such as color difference and gloss, was studied with aging time. The Fourier infrared spectra of the coatings were analyzed after the UV-aging test.

Compared with AC33, the antiaging performance of SF8 was substantially improved. SF8 has a lower color difference value and better light retention and hydrophobicity. The Fourier transform infrared spectroscopy results showed that the C-F bond and Si-O bonds in the resin of the optimized sealing coating protected the main chain C-C structure from degradation during the aging process; thus, the resin maintained good stability. The hindered amine light stabilizer TN292 added to the coating inhibited the antiaging process by trapping active free radicals.

To address the problem of UV aging of oil-decorated colored paintings, a new type of sealing coating with excellent antiaging properties was developed, laying the foundation for its demonstration application on the surface of ancient buildings.