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This paper aims to disseminate the results of research aiming to identify the prevalence of dysphagia and related clinical factors in nursing home residents.

A cross-sectional descriptive study was developed, including 99 residents in five nursing homes. A sociodemographic questionnaire and the Gugging Swallowing Screen for dysphagia screening were used for data collection.

The prevalence of dysphagia was 59.59%. A significant correlation was found between dysphagia and worse scores for fall risk, pressure ulcer, level of independence for activities of daily living and cognitive functioning.

Results should be interpreted carefully due to sample size and specific country context. A larger sample must be achieved in further research.

Nurses must receive proper training to perform systematic dysphagia screening, and it should be considered, given the high prevalence, the inclusion of professionals specially trained for rehabilitating dysphagic residents in nursing home teams.

The social and economic burden of dysphagia, in addition to all the implications on the person’s quality of life, requires a differentiated focus on this issue by nursing home managers.

Nursing homes have nurses providing health care; however, trained professionals for dysphagia treatment commonly are not. These results highlight the importance of systematic screening for dysphagia in all residents, thus promoting timely intervention to prevent respiratory and nutritional complications.

The intelligent Central Traffic Control (CTC) system plays a vital role in establishing an intelligent high-speed railway (HSR) system. As the core of HSR transportation command, the intelligent CTC system is a new HSR dispatching command system that integrates the widely used CTC in China with the practical service requirements of intelligent dispatching. This paper aims to propose key technologies and applications for intelligent dispatching command in HSR in China.

This paper first briefly introduces the functions and configuration of the intelligent CTC system. Some new servers, terminals and interfaces are introduced, which are plan adjustment server/terminal, interface for automatic train operation (ATO), interface for Dynamic Monitoring System of Train Control Equipment (DMS), interface for Power Supervisory Control and Data Acquisition (PSCADA), interface for Disaster Monitoring, etc.

The key technologies applied in the intelligent CTC system include automatic adjustment of train operation plans, safety control of train routes and commands, traffic information data platform, integrated simulation of traffic dispatching and ATO function. These technologies have been applied in the Beijing-Zhangjiakou HSR, which commenced operations at the end of 2019. Implementing these key intelligent functions has improved the train dispatching command capacity, ensured the safe operation of intelligent HSR, reduced the labor intensity of dispatching operators and enhanced the intelligence level of China's dispatching system.

This paper provides further challenges and research directions for the intelligent dispatching command of HSR. To achieve the objectives, new measures need to be conducted, including the development of advanced technologies for intelligent dispatching command, coping with new requirements with the development of China's railway signaling system, the integration of traffic dispatching and train control and the application of AI and data-driven modeling and methods.

Our purpose is to reconnect memetics to information, a persistent and unclear association. Information can contribute across a span of memetic research. Its obscurity restricts conversations about “information flow,” the connections between “form” and “content,” as well as many other topics. As information is involved in cultural activity, its clarification could focus memetic theories and applications.

Our design captures theoretical nuance in memetics by considering a long standing conceptual issue in memetics: information. A systematic review of memetics is provided by making use of the term information across literature. We additionally provide a citation analysis and close readings of what “information” means within the corpus.

Our initial corpus is narrowed to 128 pivotal memetic publications. From these publications, we provide a citation analysis of memetic studies. Theoretical directions of memetics in the informational context are outlined and developed. We outline two main discussion spaces, survey theoretical interests and describe where and when information is important to memetic discussion. We also find that there are continuities in goals which connect Dawkins’s meme with internet meme studies.

To our knowledge, this is the broadest, most inclusive review of memetics conducted, making use of a unique approach to studying information-oriented discourse across a corpus. In doing so, we provide information researchers areas in which they might contribute theoretical clarity in diverse memetic approaches. Additionally, we borrow the notion of “conceptual troublemakers” to contribute a corpus collection strategy which might be valuable for future literature reviews with conceptual difficulties arising from interdisciplinary study.

Drawing upon the theory of communication visibility, this research intends to investigate the direct effect of enterprise social media (ESM) usage on team members’ knowledge creation capability (KCC) and the mediating effects of psychological safety and team identification. In addition, it aims to untangle how the efficacy of ESM usage varies between pre- and post-COVID-19 periods.

Using two-wave survey data from 240 members nested within 60 teams, this study utilizes a multilevel approach to test the proposed hypotheses.

We discover that ESM usage enhances team members’ KCC. More importantly, the results show that psychological safety and team identification mediate the ESM–KCC linkage. Interestingly, we further find that the impacts of ESM usage on team members’ KCC, psychological safety, and team identification are stronger in the pre-COVID-19 period than those in the post-COVID-19 period.

This research sheds light on the ESM literature by unraveling the mechanisms of psychological safety and team identification underlying the linkage between ESM usage and team members’ KCC. Moreover, it advances our understanding of the differential efficacy of ESM usage in pre- and post-COVID-19 periods.

The growing trend in environmental, social and governance (ESG) research, along with its relevance to the financial performance of firms, has gained a lot of attraction in academia and industry. This study aims to fill the existing gap in the literature by conducting a thorough systematic review with the latest research articles in this area.

This study adopted a blend of systematic literature review and bibliometric techniques. A proper search string was used to retrieve the data from the Scopus database. The final dataset comprises 296 documents used for science mapping, and the review was done of 60 articles finalised after further refining the documents.

The results of this study indicate that stakeholder, legitimacy and signalling theories are the foundation for ESG and financial performance. Social firms have a lower capital cost because of their low-risk potential. Moreover, this study provides the knowledge structure by framing four clusters, “CSR/ESG determinants and firm performance”, “Moderators and Mediators”, “Investors’ perception” and “CSR in the tourism sector”.

This study has reviewed the literature with both tools, that is, qualitative (systematic review) and quantitative (bibliometric). Moreover, this study presents the latest synthesis of the literature.

Effective safety supervision plays a crucial role in ensuring safe production within coal mines. Conventional coal mine safety supervision (CMSS) in China has suffered from the problems of power-seeking, excessive resource consumption and poor timeliness. This paper aims to explore the Internet+ CMSS mode being emerged in China.

The evolution of CMSS systems underwent comprehensive scrutiny through a blend of qualitative and quantitative approaches. First, evolutionary game theory was used to analyze the necessity of incorporating Internet+ technology. Second, a system dynamics model of Internet+ CMSS was crafted, encompassing a system flow diagram and equations for various variables. The model was subsequently simulated by taking the W coal mine in Shanxi Province as a representative case study.

It was revealed that the expected safety profit from the Internet+ mode is 296.03% more than that from the conventional mode. The precise dissemination of law enforcement information was identified as a pivotal approach through which the Internet+ platform served as a conduit to foster synergistic collaboration among diverse elements within the system.

The outcomes of this study not only raise awareness about the potential of Internet+ technology in safety supervision but also establish a vital theoretical foundation for enhancing the efficacy of the Internet+ CMSS mode. The significance of these findings extends to fostering the wholesome and sustainable progress of the coal mining industry.

This research stands out as one of the limited studies that delve into the influence of Internet+ technology on CMSS. Building upon the pivotal approach identified, to the best of authors’ knowledge, a novel “multi-blind” working mechanism for Internet+ CMSS is introduced for the first time.

This study aims to examine the effects of external corporate social irresponsibility on organisational workplace deviant behaviours through the mediation of moral outrage (MO) among non-managerial employees.

The primary quantitative data was collected from a sample of 328 non-managerial employees working in banking, refinery, petroleum and power distribution companies in Pakistan. Partial least square-structural equation modelling was used to estimate the modelled relationships.

Results confirmed that external corporate social irresponsibility has a positive effect on organisational workplace deviant behaviours. MO mediated relationships between external corporate social irresponsibility and organisational workplace deviant behaviours positively.

Theoretically, the findings indicate that moral values are also close to the hearts of non-managerial employees, as external corporate social irresponsibility has proved to be one of the significant predictors of organisational deviance.

This study provides a new, substantial pathway for the executive management of organisations and evidence that eliminating social irresponsibility is equally important as pursuing sustainability initiatives for addressing workplace deviant behaviour.

The originality of this study is twofold. Firstly, it has confirmed the impact of external corporate social irresponsibility on employees’ deviant behaviours targeted at the organisation. Secondly, it has extended the scope of expectancy violation theory into the field of human resource management.

The purpose of this work is to construct a grey entropy comprehensive evaluation model to measure the regional green innovation vitality (GIV) of 31 provinces in China.

The traditional grey relational proximity and grey relational similarity degree are integrated into the novel comprehensive grey evaluation framework. The evaluation system of regional green innovation vitality is constructed from three dimensions: economic development vitality, innovative transformation power and environmental protection efficacy. The weights of each indicator are obtained by the entropy weight method. The GIV of 31 provinces in China is measured based on provincial panel data from 2016 to 2020. The ward clustering and K-nearest-neighbor (KNN) algorithms are utilized to explore the regional green innovation discrepancies and promotion paths.

The novel grey evaluation method exhibits stronger ability to capture intrinsic patterns compared with two separate traditional grey relational models. Green innovation vitality shows obvious regional discrepancies. The Matthew effect of China's regional GIV is obvious, showing a basic trend of strong in the eastern but weak in the western areas. The comprehensive innovation vitality of economically developed provinces exhibits steady increasing trend year by year, while the innovation vitality of less developed regions shows an overall steady state of no fluctuation.

The grey entropy comprehensive relational model in this study is applied for the measurement and evaluation of regional GIV, which improves the one-sidedness of traditional grey relational analysis on the proximity or similarity among sequences. In addition, a three-dimensional evaluation system of regional GIV is constructed, which provides the practical guidance for the research of regional development strategic planning as well as promotion paths.

A comprehensive grey entropy relational model based on traditional grey incidence analysis (GIA) in terms of proximity and similarity is proposed. The three-dimensional evaluation system of China's regional GIV is constructed, which provides a new research perspective for regional innovation evaluation and expands the application scope of grey system theory.