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Let H be a connected subgraph of a connected graph G. The H-structure connectivity of the graph G, denoted by κ(G;H), is the minimum cardinality of a minimal set of subgraphs F={H1′,H2′,…,Hm′} in G, such that every H′i∈F is isomorphic to H and removal of F from G will disconnect G. The H-substructure connectivity of the graph G, denoted by κs(G;H), is the minimum cardinality of a minimal set of subgraphs F={J1′,J2′,…,Jm′} in G, such that every Ji′∈F is a connected subgraph of H and removal of F from G will disconnect G. In this paper, we provide the H-structure and the H-substructure connectivity of the circulant graph Cir(n,Ω) where Ω={1,…,k,n−k,…,n−1},1≤k≤⌊n2⌋ and the hypercube Qn for some connected subgraphs H.

The safety of high-speed rail operation environments is an important guarantee for the safe operation of high-speed rail. The operating environment of the high-speed rail is complex, and the main factors affecting the safety of high-speed rail operating environment include meteorological disasters, perimeter intrusion and external environmental hazards. The purpose of the paper is to elaborate on the current research status and team research progress on the perception of safety situation in high-speed rail operation environment and to propose directions for further research in the future.

In terms of the mechanism and spatio-temporal evolution law of the main influencing factors on the safety of high-speed rail operation environments, the research status is elaborated, and the latest research progress and achievements of the team are introduced. This paper elaborates on the research status and introduces the latest research progress and achievements of the team in terms of meteorological, perimeter and external environmental situation perception methods for high-speed rail operation.

Based on the technical route of “situational awareness evaluation warning active control,” a technical system for monitoring the safety of high-speed train operation environments has been formed. Relevant theoretical and technical research and application have been carried out around the impact of meteorological disasters, perimeter intrusion and the external environment on high-speed rail safety. These works strongly support the improvement of China’s railway environmental safety guarantee technology.

With the operation of CR450 high-speed trains with a speed of 400 km per hour and the application of high-speed train autonomous driving technology in the future, new and higher requirements have been put forward for the safety of high-speed rail operation environments. The following five aspects of work are urgently needed: (1) Research the single factor disaster mechanism of wind, rain, snow, lightning, etc. for high-speed railways with a speed of 400 kms per hour, and based on this, study the evolution characteristics of multiple safety factors and the correlation between the high-speed driving safety environment, revealing the coupling disaster mechanism of multiple influencing factors; (2) Research covers multi-source data fusion methods and associated features such as disaster monitoring data, meteorological information, route characteristics and terrain and landforms, studying the spatio-temporal evolution laws of meteorological disasters, perimeter intrusions and external environmental hazards; (3) In terms of meteorological disaster situation awareness, research high-precision prediction methods for meteorological information time series along high-speed rail lines and study the realization of small-scale real-time dynamic and accurate prediction of meteorological disasters along high-speed rail lines; (4) In terms of perimeter intrusion, research a multi-modal fusion perception method for typical scenarios of high-speed rail operation in all time, all weather and all coverage and combine artificial intelligence technology to achieve comprehensive and accurate perception of perimeter security risks along the high-speed rail line and (5) In terms of external environment, based on the existing general network framework for change detection, we will carry out research on change detection and algorithms in the surrounding environment of high-speed rail.

Based on the survey data of 1,152 households in three provinces of Shaanxi, Gansu and Ningxia on the Loess Plateau, this paper aims to empirically analyze the impact of aging and off-farm employment on farmers’ adoption behavior of soil and water conservation technology. This paper analyzes the moderating effect of social network and the mediating effect of technological cognition in this impact relationship.

Based on the above analysis, the second part of this paper is based on relevant theories and constructs a theoretical model of the relationship of aging, off-farm employment, social network, technology cognition and farmers’ adoption behavior of soil and water conservation technology. The third part introduces research methods, variable selection and descriptive statistics analysis of variables. The fourth part, based on the data of Shaanxi, Gansu and Ningxia provinces in the Loess Plateau in 2016, empirically analyzes the impact of aging, off-farm employment and social network on the farmers’ adoption behavior of soil and water conservation technology. This paper further examines the moderating effect of social network and the mediating effect of technology cognition in this influence relationship. Finally, based on the findings of the empirical study, this paper puts forward countermeasures and suggestions.

First, aging and off-farm employment have a significant negative impact on farmers’ adoption behavior of soil and water conservation technology, while social network has a significant positive effect. Second, social network has alleviated the effect of aging and off-farm employment on restraining farmers’ adoption behavior of soil and water conservation technology. Third, aging and off-farm employment have restrained farmers’ cognition of soil and water conservation technology. Social network has promoted farmers’ cognition of soil and water conservation technology. Social network plays a moderating role in the impact of aging and off-farm employment on farmers’ cognition of soil and water conservation technology. Technology cognition plays a mediating role in the impact of social network on farmers’ adoption behavior of soil and water conservation technology.

This paper integrates the aging, off-farm employment and social network into the same analytical framework and reveals their impact on farmers’ adoption behavior of soil and water conservation technology and its action mechanism, which enriches the impact of human capital and social network on farmers’ adoption behavior of soil and water conservation technology. Then taking the social network as a moderator variable, the paper verifies its moderating effect on the relationship of aging, off-farm employment and farmers’ adoption behavior of soil and water conservation technology. Farmers’ technology cognition should be included in the analysis framework to examine the impact of aging, off-farm employment and social network on farmers’ cognition of soil and water conservation technology. Taking the technology cognition as a mediator variable, the paper verifies its mediating effect on the relationship of aging, off-farm employment and farmers’ adoption behavior of soil and water conservation technology.

The purpose of this paper is to empirically evaluate the mediating role of learning capability on the relationship between technological capability, relational capability and small and medium enterprises (SMEs) performance in developing economy of Africa.

A quantitative survey design was employed to collect the data from owner/manager of manufacturing SMEs in Nigeria. Partial least square structural equation model was used in the evaluation of both the measurement and structural models to determine the reliability and validity of the measurement and test the hypotheses, respectively.

The statistical result indicates a positive relationship between technological capability, learning capability and SMEs performance. Equally, relational capability significantly and positively relates to SMEs learning capability. However, relational capability negatively relates to SMEs performance, while technological capability also negatively relates to learning capability. Furthermore, learning capability mediates the negative relationship of relational capability and SMEs performance to significant positive relationship, while it does not mediate the relationship of technological capability and performance.

The analysis of this study is restricted to only resource-based view and dynamic capability theory. Data of the study were collected once a time on a self-reported technique. The study contributed significantly to the body literature on technological and relational capabilities and performance. It also demonstrated the need for SMEs manager to recognize and appreciate the roles of these strategic capabilities in achieving sustainable competitive position.

Through relational capability SMEs develops efficient collaborative relationship to acquire new techniques, knowledge. This is specifically, essential for SMEs firms from less developing and emerging economies as they are lagging behind at the global competitive platform, and that the possession of specific advantage locally may not be adequately enough to help penetrate the global markets. Similarly, technological capability enable firms to identify acquire and apply new external knowledge to develop operational competencies which may lead to the attainment of superior performance.

Government policies and programs designed to support technological development and innovation must be adjusted to consider the peculiar nature of SMEs firms in terms of technology and innovativeness that enhances competitive position and performance.

This study empirically examined the relationship of technological and relational capabilities and the SMEs learning capability and performance.

The purpose of this article is to identify design guidelines for online resources based on the subjective assessment criteria used by individuals to assess and process information resources. This method of creating design guidelines targeted at precise user groups has the potential to aid designers and developers to create more user-centred information resources.

The authors gathered data using a prospective longitudinal study investigating the information behaviour of expectant and new mothers. Women were asked to report on their information-seeking activities in a series of semi-structured interviews covering pregnancy and early motherhood.

This research identified 15 assessment criteria that were utilised by women to assess and process information resources. The most popular resource criteria amongst participants were credibility and convenience, while completeness and relevance were the most popular information content criteria. The authors found that assessment criteria were not considered in isolation, with criteria such as formatting and search engine ranking impacting on participants' perception of other criteria.

This research demonstrates the potential of linking a user groups subjective assessment criterion to design guidelines. The authors propose that these guidelines could be used to help design an online information resource. They could also be used to assess if an existing online resource met the needs of a user group. The methodology used in this study could be leveraged to create design guidelines for user groups.

This research uses subjective assessment criteria as a means of understanding how expectant new mothers process information resources. People use subjective judgements when processing information resources, and this should be incorporated into the design of information resources. Analysing longitudinal data allowed the authors to build a rich picture of how participants evaluated and compared different information resources.

Transnational learning has become a mainstream issue in recent years due to the rise of global education. There are many kinds of overseas learning, including degree-seeking, joint/double degree, student exchange, internship, service learning and so on. The scope of learning may involve research, teaching/learning and community service. The purpose of the case study is to investigate how the Taiwanese students participating in an international internship project of the US–Taiwan Partnerships for International Research and Education (PIRE) acquire professional knowledge and soft skills, including cross-cultural awareness, interdisciplinary communication, skill development and social networking. It also explores how a joint research project contributes into a collaborative educational program.

To better understand participants' experiences in the PRIE, this study held three focus groups and seven in-depth interviews on the students, faculty members and project managers for data collection.

Three major findings are shown in the study. First, participants agreed that the overall learning experiences in knowledge acquisition or skill development have been positive. Second, participants obviously expressed their greater interests in intercultural interaction with the locals, which did not happen quite often during the internship. Third, the extent of interest in applying for the PIRE deg ree program after the internship program is escalating year by year.

More investigation into participants’ social and cultural engagement in similar project will be needed for future research.

The results will be implicated into other cross-border education project evaluation.

This study manages to investigate the cross-border research initiative from different participants' perspectives and received comprehensive feedbacks.

Mental health is an emerging health policy priority globally. The emphasis on closing the treatment gap in psychiatric services is now being complemented by an increasing focus on prevention and health promotion. The purpose of this paper is to describe the programmes and delivery of public mental health in England led by Public Health England (PHE), an arms-length body of the Department of Health and Social Care.

This technical paper outlines the general approach PHE has taken in delivering national work in public mental health and describes several key areas of work: children and young people, suicide prevention, workplace and workforce, strategic engagement with stakeholders, data and information and evidence synthesis.

A description of the various programmes and guidance documents that PHE have produced are described and referenced, which form a substantial body of work in public mental health.

The outputs from PHE may assist in informing the approach to public mental health that other government agencies could consider adopting. The resources described and signposted within this technical paper are publicly available for readers.

England is one of a small group of countries that have a track record in delivering public mental health at a national level. This paper gives a unique and detailed insight into this work.

Poor medication adherence leads to high hospital admission rate and heavy amount of health-care cost. To cope with this problem, various electronic pillboxes have been proposed to improve the medication adherence rate. However, most of the existing electronic pillboxes use time-based reminders which may often lead to ineffective reminding if the reminders are triggered at inopportune moments, e.g. user is sleeping or eating.

In this paper, the authors propose an AI-empowered context-aware smart pillbox system. The pillbox system collects real-time sensor data from a smart home environment and analyzes the user’s contextual information through a computational abstract argumentation-based activity classifier.

Based on user’s different contextual states, the smart pillbox will generate reminders at appropriate time and on appropriate devices.

This paper presents a novel context-aware smart pillbox system that uses argumentation-based activity recognition and reminder generation.

A fundamental problem for intelligent manufacturing is to equip the agents with the ability to automatically make judgments and decisions. This paper aims to introduce the basic principle for intelligent crowds in an attempt to show that crowd wisdom could help in making accurate judgments and proper decisions. This further shows the positive effects that crowd wisdom could bring to the entire manufacturing process.

Efforts to support the critical role of crowd wisdom in intelligent manufacturing involve theoretical explanation, including a discussion of several prevailing concepts, such as consumer-to-business (C2B), crowdfunding and an interpretation of the contemporary Big Data mania. In addition, an empirical study with three business cases was conducted to prove the conclusion that our ideas could well explain the current business phenomena and guide the future of manufacturing.

This paper shows that crowd wisdom could help make accurate judgments and proper decisions. It further shows the positive effects that crowd wisdom could bring to the entire manufacturing process.

The paper highlights the importance of crowd wisdom in manufacturing with sufficient theoretical and empirical analysis, potentially providing a guideline for future industry.