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This paper describes a simple method for developing a list of core serials in a particular subject field by analysing article citations in electronic indexes. The Simple Index Method overcomes the difficulties in building a core list for serials in interdisciplinary fields by using multiple indexes which cover various aspects of the subject. This method permits the collection development librarian to develop a core list when standard bibliographies or specific indexing and abstracting tools are lacking and to tailor that list to the needs of the local situation.

This research investigates subgroup formation as an important mediator in the goal interdependence-intragroup conflict linkage. Specifically, it proposes that subgroup formation will mediate the relationship between cooperative goal interdependence and intragroup conflict, but not for competitive goal interdependence and intragroup conflict. Further, competitive goal interdependence is posited to have direct, positive effects on intragroup conflict. Using structural equation modeling analyses with 79 student project teams, the findings revealed that subgroup formation fully mediated the relationship between cooperative goal interdependence and task and process conflict, but only partially mediated the relationship between cooperative goal interdependence and relationship conflict. As predicted, subgroup formation did not mediate the relationship between competitive goal interdependence and intragroup conflict; however, competitive goal interdependence was negatively, rather than positively, related to intragroup conflict.

The Edible Campus project was begun in spring 2007 in Montréal. An action-research project launched by volunteers and researchers from two leading local NGOs and university-based researchers (Alternatives, [online]; Santropol Roulant, [online]; McGill University's Minimum Cost Housing Group, [online]), it sought creative solutions to turn underutilised urban spaces into productive places. It involved citizens in the creation of green community spaces by incorporating productive growing in containers on a prominent but concrete-covered part of McGill University's downtown campus. Not only is it an investigation into making cities more food-secure by increasing urban food production, it is also a live demonstration of how ‘edible landscapes’ can be woven into urban spaces without diminishing their utility or functionality.

This research investigates how and why firms adopt inclusive diversity activities, identifying the mechanisms behind firms involved in lesbian, gay, bisexual and transgender (LGBT)–friendly pursuits. By integrating resource dependence theory, institutional theory and stakeholder theory, the authors argue that a firm's LGBT friendliness is affected by marketing orientation and the external political environment.

This study uses the Corporate Equality Index, as reported by the Human Rights Campaign, of 460 (1,540 firm-year observations) firms in the United States between 2006 and 2019.

This study finds a significant, positive relationship between a firm's marketing orientation and LGBT-friendly activities. This research also determines that this relationship is weakened by state-level diversity policies and country-level political uncertainty.

The study results provide unique theoretical and practical implications for the debate on inclusive corporate policy in similar global markets.

The research question is how home country corruption and nationalism may affect operations of BRIC multinational enterprises. BRIC composition permits a comparison of two authoritarian regimes and two constitutional democracies. Each BRIC features a different combination of corruption and nationalism. The chapter adds South Africa information for two limited reasons. First, from 2010 South Africa is a member of the BRIC summit process. South Africa is an important entry point to Africa, for BRIC multinationals and particularly for China. Second, concerning corruption and nationalism South Africa is analytically useful as a control context that helps illustrate but does not appear to change highly exploratory BRIC findings.

The chapter draws on limited literature and information concerning corruption and nationalism in BRICs to suggest tentative possibilities. Transparency International provides bribe payers index estimates for 28 large economies, with important multinational enterprises, and corruption perceptions index estimates including those 28 countries. These estimates include the four BRICs and South Africa. The available sources suggest some suggested findings about varying impacts of home country corruption and nationalism on operations of BRIC multinationals.

China and Russia are authoritarian regimes in transition from central planning-oriented communist regimes. They are global military powers, expanding influence in their respective regions. Brazil, India, and South Africa are constitutional democracies. India, a nuclear-armed military power, seeks a regional leadership role in South Asia. Brazil and South Africa are key countries economically in their regions. BRIC multinationals are positioned between home country and host country conditions. Chinese and Russian multinationals may reflect a stronger nationalistic tendency due to home country regimes and ownership structure.

The chapter is an original but highly exploratory inquiry into impacts of corruption and nationalism on BRIC multinationals. Extant BRIC literature tends to understudy effects of home country corruption and nationalism on managerial mindset and incentives in either commercial or state-owned enterprises.

Although various studies have investigated the corporate political activity (CPA), however, there is no definite report which shows its effect on the public policy outcome or the organization’s performance. Hence, the political effects of the corporate social responsibility (CSR) have garnered a lot of recent interest since the CSR included activities which have an intended or an unintended effect on the CPA–corporate financial performance (CFP) link. We use data made available by the 1995 Lobbying Disclosure Act, while the CSR indices were gathered from the Fortune Magazine’s most admired companies from 2007 to 2016. We analyzed the relationship between the organization’s CPA and CFP, with the help of the dynamic panel data system generalized method of moment (GMM) estimation. Their results showed that the CPA did not improve the firm’s performance. Moreover, CPA and CSR are substitute in affecting financial performance, because they are essentially exclusive investments that require resources but do not have synergies.

Due to the structural layout, mining process, and working environment, curved chains such as horizontal and vertical bends inevitably exist in the armoured face conveyor (AFC). With the increasing power, conveying capacity, and distance of the AFC, the dynamic influence of these curved chains should be highly emphasized. This paper establishes a dynamic model of the AFC by multi-body system theory and finite segment method, in which the curved chains can be fully considered.

The scraper chains are firstly grouped into the straight, horizontal bend, vertical convex and concave bend sections. Each bend section running in a circle is simplified as an ideal arc. Through solving its differential equilibrium equation and using Newton's second law, its running resistance is derived. Then the grouped chains are discretized into finite control elements according to the Kelvin model, and the governing equation of each control element is established. The dynamic model of the AFC is obtained by assembling these equations, and the corresponding simulation model is developed by using MATLAB/Simulink.

Case studies with real scenarios are provided, and simulations are carried out. The results show that the running resistance contributed by the curved chains is larger than the traditional empirical value.

The work in this paper helps the dynamic performance design of AFC, with a deep understanding of the curved chains.

Drawing from theories of modernization and socioemotional selectivity, this study investigates the effect of familial support on the relationship between immigrant generation and mental health service use for Asian American and Latinx older adults.

Using the data from the National Latino and Asian American Study (NLAAS) 2002–2003, nested logistic regressions (N = 810) were used to test the effects of familial support (parent–child relationship quality) on the relationship between immigrant generation and the use of mental health services. Differences in familial support between older adults and their younger counterparts were also accounted for.

The results indicate that familial support partially attenuates the relationship between immigrant generation and mental health service use, but only for Latinx groups. Familial support was not significantly different for older adults than that of those younger in age.

Findings suggest the need for a better understanding of familial support as it relates to mental health service use for these groups. Approaches to improving the access to, and the overall use of, mental health services should be sensitive to ethnic variation. Immigrant groups may also endure stressors associated with legal and citizenship status. Future research should consider the effect of these political identities on mental health. Studies on parent–child relationship quality should also be longitudinal in order to better understand the dynamic nature of familial support across the life course.

This chapter addresses gaps in the literature as Asian Americans are relatively understudied group with regard to mental health. Previous studies showed that US-born Asian American and Latinx populations are more likely to use mental health services than their foreign-born counterparts, but the effects of generation status and familial support for older adults are unclear.

Smog seriously affects the ecological environment and poses a threat to public health. Therefore, smog control has become a key task in China, which requires reliable prediction.

This paper establishes a novel time-lag GM(1,N) model based on interval grey number sequences. Firstly, calculating kernel and degree of greyness of the interval grey number sequence respectively. Then, establishing the time-lag GM(1,N) model of kernel and degree of greyness sequences respectively to obtain their values after determining the time-lag parameters of two models. Finally, the upper and lower bounds of interval grey number sequences are obtained by restoring the values of kernel and degree of greyness.

In order to verify the validity and practicability of the model, the monthly concentrations of PM2.5, SO2 and NO2 in Beijing during August 2017 to September 2018 are selected to establish the time-lag GM(1,3) model for kernel and degree of greyness sequences respectively. Compared with three existing models, the proposed model in this paper has better simulation accuracy. Therefore, the novel model is applied to forecast monthly PM2.5 concentration for October to December 2018 in Beijing and provides a reference basis for the government to formulate smog control policies.

The proposed model can simulate and forecast system characteristic data with the time-lag effect more accurately, which shows that the time-lag GM(1,N) model proposed in this paper is practical and effective.

Based on interval grey number sequences, the traditional GM(1,N) model neglects the time-lag effect of driving terms, hence this paper introduces the time-lag parameters into driving terms of the traditional GM(1,N) model and proposes a novel time-lag GM(1,N) model.

This paper aims to present a broad review of near-a titanium alloys for high-temperature applications.

Following a brief introduction of titanium (Ti) alloys, this paper considers the near-α group of Ti alloys, which are the most popular high-temperature Ti alloys developed for a high-temperature application, particularly in compressor disc and blades in aero-engines. The paper is relied on literature within the past decade to discuss phase stability and microstructural effect of alloying elements, plastic deformation and reinforcements used in the development of these alloys.

The near-a Ti alloys show high potential for high-temperature applications, and many researchers have explored the incorporation of TiC, TiB SiC, Y₂O₃, La₂O₃ and Al₂O₃ reinforcements for improved mechanical properties. Rolling, extrusion, forging and some severe plastic deformation (SPD) techniques, as well as heat treatment methods, have also been explored extensively. There is, however, a paucity of information on SiC, Y₂O₃ and carbon nanotube reinforcements and their combinations for improved mechanical properties. Information on some SPD techniques such as cyclic extrusion compression, multiaxial compression/forging and repeated corrugation and straightening for this class of alloys is also limited.

This paper provides a topical, technical insight into developments in near-a Ti alloys using literature from within the past decade. It also outlines the future developments of this class of Ti alloys.