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As cyber-attacks continue to grow, organisations adopting the internet-of-things (IoT) have continued to react to security concerns that threaten their businesses within the current highly competitive environment. Many recorded industrial cyber-attacks have successfully beaten technical security solutions by exploiting human-factor vulnerabilities related to security knowledge and skills and manipulating human elements into inadvertently conveying access to critical industrial assets. Knowledge and skill capabilities contribute to human analytical proficiencies for enhanced cybersecurity readiness. Thus, a human-factored security endeavour is required to investigate the capabilities of the human constituents (workforce) to appropriately recognise and respond to cyber intrusion events within the industrial control system (ICS) environment.

A quantitative approach (statistical analysis) is adopted to provide an approach to quantify the potential cybersecurity capability aptitudes of industrial human actors, identify the least security-capable workforce in the operational domain with the greatest susceptibility likelihood to cyber-attacks (i.e. weakest link) and guide the enhancement of security assurance. To support these objectives, a Human-factored Cyber Security Capability Evaluation approach is presented using conceptual analysis techniques.

Using a test scenario, the approach demonstrates the capacity to proffer an efficient evaluation of workforce security knowledge and skills capabilities and the identification of weakest link in the workforce.

The approach can enable organisations to gain better workforce security perspectives like security-consciousness, alertness and response aptitudes, thus guiding organisations into adopting strategic means of appropriating security remediation outlines, scopes and resources without undue wastes or redundancies.

This paper demonstrates originality by providing a framework and computational approach for characterising and quantify human-factor security capabilities based on security knowledge and security skills. It also supports the identification of potential security weakest links amongst an evaluated industrial workforce (human agents), some key security susceptibility areas and relevant control interventions. The model and validation results demonstrate the application of action research. This paper demonstrates originality by illustrating how action research can be applied within socio-technical dimensions to solve recurrent and dynamic problems related to industrial environment cyber security improvement. It provides value by demonstrating how theoretical security knowledge (awareness) and practical security skills can help resolve cyber security response and control uncertainties within industrial organisations.

The purpose of this paper is to propose a fault diagnosis method for rolling bearings, in which the fault feature extraction is realized in a two-dimensional domain using scale invariant feature transform (SIFT) algorithm. This method is different from those methods extracting fault feature directly from the traditional one-dimensional domain.

The vibration signal of rolling bearings is first transformed into a two-dimensional image. Then, the SIFT algorithm is applied to the image to extract the scale invariant feature vector which is highly distinctive and insensitive to noises and working condition variation. As the extracted feature vector is high-dimensional, kernel principal component analysis (KPCA) algorithm is utilized to reduce the dimension of the feature vector, and singular value decomposition technique is used to extract the singular values of the reduced feature vector. Finally, these singular values are introduced into a support vector machine (SVM) classifier to realize fault classification.

The experiment results show a high fault classification accuracy based on the proposed method.

The proposed approach for rolling bearing fault diagnosis based on SIFT-KPCA and SVM is highly effective in the experiment. The practical value in engineering application of this method can be researched in the future.

The primary purpose of this study is to investigate the image transfer and its effects on exhibitors’ behavioral intention. Specifically, the study attempted to examine the effect of mega business event image on destination and country image from exhibitors’ perspective and the effect of mega business event image on exhibitors’ behavioral intention toward the event.

The data for this study were collected through an on-site survey. Based on a sample of 393 respondents, structural equation modeling was used to test the proposed hypotheses.

The results showed that business event image has a stronger effect on country image than on destination image; event image has a significant effect on exhibitor’s behavioral intention toward the event directly and indirectly through the mediating role of country image; and country image has a significant influence on destination image.

The event organizer should improve the exhibitor’s perceptions of the event experience from providing a clear and attractive theme for the target audiences; exhibiting the products with the most cutting-edge technologies and offering various opportunities for forums and promotions; and planning and organizing the event in every detail carefully including the facilities, layout of booths, ambience and other related services.

The study expands the event type to business events, explores the image transfer process between event, destination and country and examines the effects of such image transfer on the exhibitors’ behavioral intention. The results confirm the explanatory power of image transfer theory. Attribution theory and halo effect are viewed as the mechanisms of image transfer.

本研究的主要目的是考察形象迁移及其对参展商行为意向的影响。具体而言, 本研究（1）从参展商视角, 探讨大型商务活动形象对目的地和国家形象的影响; （2）探讨重大商务活动形象对参展商行为意向的影响。

本研究的数据通过现场调查收集, 基于393份问卷, 使用结构方程模型检验研究假设。

研究结果表明：（1）商务活动形象对国家形象的影响比对目的地形象的影响更大; （2）通过国家形象的中介作用, 大型商务活动形象直接或间接地影响了参展商的行为意图; （3）国家形象显著影响目的地形象。

活动组织者应从以下方面改善参展商对活动体验的认识：（1）提供清晰且有吸引力的主题; （2）展示具有最前沿技术的产品, 并提供各种论坛和促销机会; （3）认真, 细致地筹划和组织活动, 包括设施, 摊位布置, 氛围和其他相关服务。

本研究将活动类型延伸至商务活动, 探索活动、目的地和国家之间的形象迁移, 检验形象迁移对参展商行为意向的影响。结果证实了形象迁移理论的解释力。归因理论和晕轮效应是形象迁移的内在机制。

Transferencia de imágenes entre un megaevento empresarial, el destino y el país del alojamiento y sus efectos sobre la predisposición de los expositores hacía el evento

el objetivo principal de este estudio es investigar la transferencia de imágenes y sus efectos sobre la predisposición de los expositores. Específicamente, el estudio intentó examinar (1) el efecto de la imagen de megaevento de negocios en la imagen del destino y del país desde la perspectiva de los expositores y (2) el efecto de la imagen de megaevento de negocios en la predisposición de los expositores hacia el evento.

los datos de este estudio se obtuvieron mediante una encuesta in situ. Sobre la base de una muestra de 393 encuestados, se utilizó el modelo de ecuaciones estructurales para probar las hipótesis propuestas.

los resultados mostraron que: (1) la imagen del megaevento tiene un efecto más fuerte en la imagen del país que en la del destino; (2) la imagen del evento tiene un efecto significativo directo e indirecto sobre la predisposición del expositor hacia el evento a través del papel mediador de la imagen del país; (3) la imagen del país tiene una influencia significativa en la imagen de destino.

el organizador del evento debe mejorar las percepciones del expositor sobre la experiencia del evento (1) proporcionando un tema claro y atractivo para el público objetivo; (2) exhibir los productos con las tecnologías más avanzadas y ofrecer diversas oportunidades para foros y promociones; y (3) planificar y organizar el evento cuidando los detalles, incluyendo las instalaciones, el diseño de las cabinas, el ambiente y otros servicios relacionados.

el estudio amplía el tipo de evento a eventos de negocios, explora el proceso de transferencia de imágenes entre evento, destino y país, y examina los efectos de dicha transferencia de imágenes en la predisposición de los expositors hacía el evento. Los resultados confirman el poder explicativo de la teoría de transferencia de imágenes. La teoría de la atribución y el efecto halo son vistos como los mecanismos de transferencia de imágenes.

The purpose of this paper is to study the evolution and growth of aerosol particles in a turbulent planar jet by using the newly developed large eddy simulation (LES)-differentially weighted operator splitting Monte Carlo (DWOSMC) method.

The DWOSMC method is coupled with LES for the numerical simulation of aerosol dynamics in turbulent flows.

Firstly, the newly developed and coupled LES-DWOSMC method is verified by the results obtained from a direct numerical simulation-sectional method (DNS-SM) for coagulation occurring in a turbulent planar jet from available literature. Then, the effects of jet temperature and Reynolds number on the evolution of time-averaged mean particle diameter, normalized particle number concentration and particle size distributions (PSDs) are studied numerically on both coagulation and condensation processes. The jet temperature and Reynolds number are shown to be two important parameters that can be used to control the evolution and pattern of PSD in an aerosol reactor.

The coupling between the Monte Carlo method and turbulent flow still encounters many technical difficulties. In addition, the relationship between turbulence, particle properties and collision kernels of aerosol dynamics is not yet well understood due to the theoretical limitations and experimental difficulties. In the present study, the developed and coupled LES-DWOSMC method is capable of solving the aerosol dynamics in turbulent flows.

The purpose of this paper is to evaluate the effect of adult children migration on the health status of elderly parents. Increased labor migration in developing countries that lack adequate social security systems and institutionalized care for the elderly is a phenomenon that is important to understand. When their adult children go away to work, it is not clear what effect there will be on “left-behind” elderly parents.

This study employs nearly nationally representative data from five provinces, 25 counties, 101 villages and 2,000 households, collected from two waves of data in 2007 and 2011. This sample comprises a subset of households which include both elderly individuals (above 60 years old) and their grown (working-aged) children in order to estimate the impact of adult child migration on the health of elderly parents in rural China.

This study finds that adult child migration has a significant positive impact on the health of elderly family members.

These findings are consistent with the explanation that migration raises family resources, which in turn may contribute to better health outcomes for elderly household members.

This is the first paper to attempt to identify the relationship between household migration and the health of elderly parents within the Chinese context.

The purpose of this paper is to consider the use and application of the “grey system” modelling methodology for the prediction and characterisation of inert anodes used in the aluminium electrolysis industry.

Cermet was very interesting potential material for developing inert anodes, which was composed of ceramic phase (NiFe₂O₄) and metal/alloy phase (nickel‐iron‐copper).

Differential thermal analysis showed that newly fabricated cermet had good performance. The calcination temperature was very important for evaluating material properties, so was obtained in order to build the forecast grey model.

Through calculation the GM(1,1) model was proved to be accurate in predicting technical parameters, and able to pinpoint precisely the properties of cermet materials.

Managing knowledge effectively and efficiently is considered to be a key success factor to gain sustainable competitive advantage for organizations. This study aims to analyze the impact of knowledge management (KM) processes on human resource management (HRM).

To test the relationship of KM processes on HRM, a case study was conducted using structural equation modeling based on data collected from employees and managers of a Telecom company in Turkey. The survey instrument is a self-administered questionnaire composed of 37 questions. Three of them are demographic questions; 20 questions aim to reveal KM processes and 14 for HRM practices. The questionnaire was distributed via google survey link to employees and managers in headquarters office and two branches in Istanbul.

In this paper, the authors tried to investigate the impact of KM practices on the HRM performance of a company. The results indicate that companies with better KM practices tend to perform better at HRM. The main contribution of this paper lies in pointing out that, among the dimensions of KM, knowledge sharing and knowledge utilization have direct impact on HRM, whereas knowledge generation and knowledge sharing have indirect impacts.

The main limitation of this study lies in the fact that data are collected from a single company in telecom industry. Therefore, it is difficult to generalize the results. Although the research findings are aligned with those of the previous studies, further research using data from numerous companies in various industries is still needed to generalize the research findings.

The paper includes implications for the development of knowledge utilization generated and stored within the company. The knowledge can create improvements in the company’s HRM performance if it is shared and used effectively. The paper addresses an important subject and the findings may be used by human resources and KM practitioners interested in the development of organizational knowledge through human resource practices.

This paper fulfills an identified need to investigate the impact of KM practices on the HRM performance of a company.

The purpose of this paper is to explore whether an in-service life teacher training program can improve boarding students’ health, behavior, and academic performance.

The authors conducted a cluster-randomized controlled trial to measure the effect of life teacher training on student health, behavior, and academic performance among 839 boarding students in ten central primary boarding schools in Shaanxi. And the authors also tried to identify why or why not life teacher training works. Both descriptive and multivariate analysis are used in this paper.

The authors find significant improvements in health and behavior. Specifically, compared to boarding students in control schools, 15 percent fewer students in treatment schools reported feeling cold while sleeping at night. The results also showed that student tardiness and misbehaviors after class declined significantly by 18 and 78 percent, respectively. However, the in-service life teacher training program had no measurable impact on boarding students’ BMI-for-age Z-score, number of misbehaviors in class, and academic performance. The analysis suggests that improved communication between life teachers and students might be one mechanism behind these results.

This is the first empirical work which explored how to improve the welfare of boarding students via their life teachers. Because of the sudden increase in boarding students in rural China, it is almost certain that school personnel lack experience in managing boarding students. As such, one promising approach to improving student outcomes might be in-service training for life teachers.

This paper aims to explain why the quality of infrastructure projects in rural China differs from village to village and how project quality is correlated with project design attributes and governance factors.

Using primary data collected by the authors on three types of infrastructure projects in villages across China, they created measures of project quality for each village. They then used both descriptive and multivariate approaches to examine how quality varies from village to village and factors correlated with quality.

Between‐project within‐village quality differences are small and project design has little explanatory power. Between‐village variations are large. There are strong correlations between the ways villages govern themselves and project quality. The authors conclude that it is difficult to make good projects work in communities that lack good governance.

Disaggregated data on the quality of infrastructure (and its determinants) were collected by the authors to allow for variation in the type of infrastructure projects (roads, irrigation, and drinking water) and variation in village governance, making it possible to identify and contrast the effects of project design and village governance factors on project quality. As its chief contribution, this work identifies potential ways to improve the quality of infrastructure projects in rural development.

This paper aims to provide a systematic framework for organizations to analyze their knowledge reuse processes, and balance codification and personalization within their knowledge strategy according to cost/benefit analysis.

This paper divides knowledge reuse process into a sequence of five stages, and accordingly analyzes costs/benefits under codification and personalization strategies. Markov decision process, a mathematical framework for multi-stage decision-making, is employed to optimize a mixed strategy for knowledge reuse processes within an organization.

Organizations need to consider factors such as the number of reusable knowledge items, reuse patterns, and intra-organizational interest alignment which are critical to determine their optimal mix between codification and personalization. Companies should determine a knowledge strategy based on their knowledge reuse contexts instead of following success cases blindly.

This paper presents an illustrative example to show how this framework might be applied by an organization. However, the validity and reliability of strategic decision-making also depends on the accuracy of the model's parameter values. Firms can adopt many methods as surveys, Delphi method, to determine the parameter values.

The proposed framework offers an opportunity for firms to gain insights by setting the model's parameters to their own reuse contexts/characteristics and conducting what-if analysis.

This paper proposes a formal framework for analyzing knowledge reuse processes and offers organizations guidelines about decision-making of knowledge strategies.