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The aim of this study is to present a novel approach based on semantic fingerprinting and a clustering algorithm called density-based spatial clustering of applications with noise (DBSCAN), which can be used to convert investor records into 128-bit semantic fingerprints. Inventor disambiguation is a method used to discover a unique set of underlying inventors and map a set of patents to their corresponding inventors. Resolving the ambiguities between inventors is necessary to improve the quality of the patent database and to ensure accurate entity-level analysis. Most existing methods are based on machine learning and, while they often show good performance, this comes at the cost of time, computational power and storage space.

Using DBSCAN, the meta and textual data in inventor records are converted into 128-bit semantic fingerprints. However, rather than using a string comparison or cosine similarity to calculate the distance between pair-wise fingerprint records, a binary number comparison function was used in DBSCAN. DBSCAN then clusters the inventor records based on this distance to disambiguate inventor names.

Experiments conducted on the PatentsView campaign database of the United States Patent and Trademark Office show that this method disambiguates inventor names with recall greater than 99 per cent in less time and with substantially smaller storage requirement.

A better semantic fingerprint algorithm and a better distance function may improve precision. Setting of different clustering parameters for each block or other clustering algorithms will be considered to improve the accuracy of the disambiguation results even further.

Compared with the existing methods, the proposed method does not rely on feature selection and complex feature comparison computation. Most importantly, running time and storage requirements are drastically reduced.

Because of the extensive use of long‐span structures in modern engineering, much attention has been given to the extent to which ground motion phase‐lags affect the internal forces of such structures. In this paper, this problem is studied from the aspect of random seismic analysis, i.e. the random seismic responses of long‐span structures are explored with the phase‐lags of the ground joints of the structures taken into account. The earthquake is regarded as a stationary random process. Formulae for calculating the random responses of the structural displacements and internal forces are derived. Numerical examples are presented which illustrate some basic features of such random response, and also show that the ground motion phase‐lags have considerable effects on structural safety analysis.

This paper provides the latest systematic literature review (SLR) of prevailing studies on the interrelationship among executive compensation, financial performance and sustainable business practices. This SLR is done in three parts: (1) examine the theories employed by previous studies; (2) identify the unique variables employed by researchers in analysing this interrelationship and (3) explore potential opportunities for further study in the field.

This study conducted an SLR analysing studies from the Web of science, Scopus and EBSCO in over 20 countries from 2009 to 2022 published in several top-ranked journals. We utilised various search strings using the key phrases “executive compensation”, “CEO Pay”, “financial performance” and “sustainable business practices”. The initial sample of 27,210 was filtered with our meticulous inclusion and exclusion criteria to produce a list of 161 studies.

Our findings are as follows: first, most studies encompassing this subject area lack multi-theoretical perspectives with agency theory being the most dominant theoretical viewpoint; second, we observed the use of monotonous quantitative research methods, with studies heavily lacking qualitative and mixed-method research approaches; finally, there is a palpable gap in cross-country studies.

There are a few limitations that must be acknowledged. First, the inclusion criteria ensured that only articles published in the CABS journal ranking of three star and above. Thus, this review may not be a precise reflection of the EC, FP and SBPs literature scope. The inclusion criteria also limit our review to only accounting, finance, management and business-related studies about the topic. Therefore, future studies could explore studies ranked three star and below and from other subject areas.

This study contributes to the existing literature by conducting a comprehensive SLR that examines both the theoretical underpinnings and empirical evidence on this topic. It builds upon previous research and extends our understanding of the interrelationship among executive compensation, financial performance and sustainable business practices.

Hand, foot and mouth disease (HFMD) is a common infectious disease in infants and children. HFMD has caused millions of cases and a large epidemic worldwide. A number of studies have shown that the incidence of HFMD is closely related to various factors such as meteorological factors, environmental air pollution factors and socio-economic factors. However, there are few studies that systematically consider the impact of various factors on the incidence of HFMD. The paper aims to discuss these issues.

This study used grey correlation analysis and principal component analysis (PCA) method to systematically analyse the impact of meteorological factors, health resource factors, socio-economic factors and environmental air pollution factors on the incidence of HFMD in Shenzhen.

The incidence of HFMD in Shenzhen was affected by multiple factors. Grey correlation analysis found eight influencing factors which are as follows: volume of industrial waste gas emission; the days of air quality equal to or above grade; the volume of industrial nitrogen oxide emission; precipitation; the mean air temperature; the gross domestic product; the expenditure for medical and health care; and the gross domestic product per capita. PCA found that the gross domestic product, the volume of industrial soot emission, the relative humidity, and the days of air quality equal to or above grade have a higher load value.

This study is the one of the first studies that apply the grey correlation analysis to analyse the influencing factors of HFMD in the English literature, which to some extent fills up the blank in this field.

As an essential part of mainstream Western development economics, the trickle-down theory originates from the behavioral choices and iterations of thought on conflicts of interest in the evolution of remuneration structure in Western countries. The fundamental flaw of the logic of this theory is that it conceals the inherent implication of social systems and the essential characteristics of social structures.

This paper examines the relationships among economic growth, income distribution and poverty from the perspective of social relations of production – the nature of production relations determines the nature of distribution relations and further determines the essence of trickle-down development, and ownership is the core mechanism for realizing the trickle-down effect.

The stagnation or smoothness of the trickle-down effect in different economies is essentially subject to the logic of “development for whom”, which is determined by ownership relationship.

To be more specific, “development for capitalists” and “development for the people” indicate two distinctly different economic growth paths. The former starts with private ownership and follows a bottom-up negative trickle-down path that inevitably leads to polarization, while the latter starts with public ownership and follows a top-down positive trickle-down path that will lead to common prosperity in the end.

The purpose of this paper is to investigate a light-trapping structure based on Ag nanograting for amorphous silicon (a-Si) thin-film solar cell. Silver nanopillar arrays on indium tin oxide layer of the a-Si thin-film solar cells were designed.

The effects of the geometrical parameters such as nanopillar radius (R) and array period (P) were investigated by using the finite element simulation.

The optimization results show that the absorption of the solar cell with Ag nanopillar structure and anti-reflection film is enhanced up to 29.5 per cent under AM1.5 illumination in the 300- to 800-nm wavelength range compared with the reference cell. Furthermore, physical mechanisms of absorption enhancement at different wavelength range are discussed according to the electrical field amplitude distributions in the solar cells.

The research is still in progress. Further studies mainly focus on the performance of solar cells with different nanograting materials.

This study provides a feasible method for light-trapping structure based on Ag nanograting for a-Si thin-film solar cell.

This study is promising for the design of a-Si thin-film solar cells with enhanced performance.

The purpose of this paper is to study the effect of particles on the wear of cylinder liner in internal combustion (IC) engine under some typical weather conditions.

Experiments were conducted under some typical dust weather which was simulated by the self‐built test‐bed with an actual diesel engine. Three‐dimensional surface morphology was applied to produce a comprehensive characterization of cylinder liner's wear. Ferrography and oil spectrum analysis were employed for further understanding of the abrasion of the cylinder liner caused by particles.

The presence of particles destroyed the lubricating condition of piston‐cylinder liner, speeded up the wear of liner, especially on the thrust side, and aggravated the local wear. Wear curves showed that greater wear volume occurred near bottom dead center on the thrust side under the dust condition. However, on the anti‐thrust side, wear volume of top dead center was greater than that of bottom dead center, similar to the wear pattern under the normal condition. Wear rate under dust condition was three to five times of that under normal condition.

The paper is restricted to the experimental findings based on single cylinder engine and theoretical researches are needed in the next step.

The results help to understand the wear of the cylinder liner from the presence of particles from outside the engine.

The paper concentrates on the effect of dust particles on the wear of cylinder liner under some dusty weather conditions simulated by a self‐built test‐bed, employing an actual IC engine. The results may bring about better understanding of the wear of cylinder liners.

The combination of improved PSO (IPSO) algorithm and artificial neural network (ANN) model for intelligent monitoring of the bearing performance of the hydrostatic turntable.

This paper proposes an artificial neural network model based on IPSO algorithm for intelligent monitoring of hydrostatic turntables.

The theoretical model proposed in this paper improves the accuracy of the working performance of the static pressure turntable and provides a new direction for intelligent monitoring of the static pressure turntable. Therefore, the theoretical research in this paper is novel.

Theoretical novelties: an ANN model based on the IPSO algorithm is designed to monitor the load-bearing performance of a static pressure turntable intelligently; this study show that the convergence accuracy and convergence speed of the IPSO-NN model have been improved by 52.55% and 10%, respectively, compared to traditional training models; and the proposed model could be used to solve the multidimensional nonlinear problem in the intelligent monitoring of hydrostatic turntables.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2024-0081/

This paper examines the mediation role of green innovation in the relationship between corporate social responsibility and environmental performance of manufacturing firms in Ghana.

The paper chose African emerging markets and surveyed managers from manufacturing firms. With 301 questionnaires qualified for this study’s final analyses, the authors adopt the multiple regression with mediation models to estimates the nexus among study variables.

Results evidence that both corporate social responsibility and green innovation has a positive and significant impact on environmental performance. Interestingly, the authors find that corporate social responsibility significantly improves environmental performance through green innovation indicating that firms could essentially build their dynamic resource and innovation capabilities in sustainability leading to enhanced environmental performance.

This paper develops a dynamic resource-based view of firm environmental performance illustrating how firms use resources to build strategic capabilities for competitive advantage, which leads to improved environmental performance. The paper highlights the mediation role of green innovation on corporate social responsibility and environmental performance relationships.

This study's results provide significant insights to owners and managers of manufacturing companies to integrate corporate social responsibility and green innovation to ensure environmental performance and sustainability. Furthermore, policy makers should encourage green innovation when design sustainable development systems in the manufacturing industry.

The paper provides a valuable model showing how green innovation mediates corporate social responsibility to improve environmental performance and build competitive advantages considering both small, medium, and large manufacturing enterprises in emerging countries.

This study aims to analyze those factors affecting the rural resident’s willingness to adopt solar photovoltaic (PV) which is important for accelerating the popularization of clean energy in China.

This study contained a sample of 653 households in 8 provinces/regions by stratified, and random sampling in rural China. Descriptive analysis, exploratory factor analysis and confirmatory factor analysis techniques have been used for analytical purposes.

The empirical results indicate that financial incentive and social interaction have positive effects on rural residents’ adoption willingness, while village leaders’ engagement can indirectly influence their adoption willingness through social interaction and residents’ cognition.

This study mainly considers external and internal factors but ignores the effect of technical factors. In addition, the samples are just selected from the residents who have adopted solar PV.

This study is expected to be useful for the government, regulators, village leaders, village leaders and other institutions.

This study conducts a systematic analysis and clarifies the relationship between factors (external and internal) and rural residents’ adoption willingness. The village leaders’ engagement is first added to the conceptual model as an external factor, which is very essential in rural residents’ adoption in China.