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This study aims to interrogate and expand on the flexible citizenship framework by illuminating students' emergent identities and imagined future mobilities in China's expanding international school sector.

In-depth semistructured interviews were conducted with international school students and their parents in Shenzhen, covering their motivations for overseas higher education, experience with international schooling, self-perceived identities and imagined futures.

The participants aspired to overseas higher education for both symbolic capital attainment and embodied cultural cultivation to thrive in a globalised world. They expressed confidence that international schooling experiences prepared students for mobility to Western higher education and cultivated globally-oriented identities while not undermining their Chinese roots. They imagined their futures in terms of considerable flexibility, with a rising China viewed as an attractive and feasible option for career development.

This research provides an enriched understanding of a new generation of globally mobile Chinese students. The participants held distinctively different outlooks, aspirations and attitudes than depicted in the flexible citizenship framework, which emphasised a one-dimensional and instrumentalist portrayal of Chinese international students. This study discusses cross-generational changes in the desire for overseas education and a global-national outlook among young people in the context of significant social transformations in urban China.

The originality of this study is in expanding the flexible citizenship framework with reference to the emergent identities and pathways of students in the international schooling sector in China.

This special issue aims to address the complexities and dynamics in contemporary China’s citizen-making processes, with a focus on the educational dimension.

The four articles in this special issue present citizen-making processes in both educational and cultural arenas. Based on the rich, first-hand data collected inside and outside China, the researchers revealed the dynamics of the educative processes, as the interplay of different mechanisms produces new understandings of citizenship practice.

This special issue sheds light on the rise of new types of citizens, who are emerging at the grassroots level in China, beyond the state’s strict direct regulations, along with the rise of market forces and multicultural communities in Chinese society today. Contributors to this special issue have captured an ongoing change, in that the diversified citizen-making mechanisms are, to a certain extent, mitigating the party-state’s definitive monopoly on forging citizens and are creating new spaces for individuals to develop fresh forms of political subjectivity and citizenship practice. In this sense, we argue for the unpacking of the citizen-making processes in present-day China not only from the lens of state-dominated, top-down initiatives but also from that of participatory, bottom-up initiatives performed by grassroots groups with differentiated socio-economic statuses and cultural traditions.

This special issue can be regarded as a contribution to the growing field of Chinese citizenship studies, which constitutes an integral part of the unfinished project of citizenship after orientalism.

The pandemic of COVID-19 led to considerable challenges with respect to people's health, dietary behavior and satisfaction with life. This study aims to investigate perceived stress levels, in relation to diet quality and life satisfaction in Greek adults, during the COVID-19 lockdown.

This is a cross-sectional study which took place in Greece in the course of the strict lockdown period, in the third COVID-19 wave. A sample of 2,029 adults aged 18 years and above participated in an online survey. The questionnaire consisted of questions on sociodemographic and anthropometric characteristics. The Perceived Stress Scale, the Satisfaction with Life Scale and the Mediterranean Diet Assessment Tool were also used.

Linear regression has shown that women (p < 0.0001), younger individuals (p < 0.0001), obese individuals (p = 0.047), those with lower levels of satisfaction with life (p < 0.0001) and lower adherence to Mediterranean diet (p = 0.0001) were positively associated with higher levels of stress.

To the best of the authors’ knowledge, this is the first study conducted in Greece aiming at investigating concurrently, levels of perceived stress, with respect to levels of satisfaction with life and diet quality in adults, during the lockdown period of the COVID-19 pandemic.

The tender documents, an essential data source for internet-based logistics tendering platforms, incorporate massive fine-grained data, ranging from information on tenderee, shipping location and shipping items. Automated information extraction in this area is, however, under-researched, making the extraction process a time- and effort-consuming one. For Chinese logistics tender entities, in particular, existing named entity recognition (NER) solutions are mostly unsuitable as they involve domain-specific terminologies and possess different semantic features.

To tackle this problem, a novel lattice long short-term memory (LSTM) model, combining a variant contextual feature representation and a conditional random field (CRF) layer, is proposed in this paper for identifying valuable entities from logistic tender documents. Instead of traditional word embedding, the proposed model uses the pretrained Bidirectional Encoder Representations from Transformers (BERT) model as input to augment the contextual feature representation. Subsequently, with the Lattice-LSTM model, the information of characters and words is effectively utilized to avoid error segmentation.

The proposed model is then verified by the Chinese logistic tender named entity corpus. Moreover, the results suggest that the proposed model excels in the logistics tender corpus over other mainstream NER models. The proposed model underpins the automatic extraction of logistics tender information, enabling logistic companies to perceive the ever-changing market trends and make far-sighted logistic decisions.

(1) A practical model for logistic tender NER is proposed in the manuscript. By employing and fine-tuning BERT into the downstream task with a small amount of data, the experiment results show that the model has a better performance than other existing models. This is the first study, to the best of the authors' knowledge, to extract named entities from Chinese logistic tender documents. (2) A real logistic tender corpus for practical use is constructed and a program of the model for online-processing real logistic tender documents is developed in this work. The authors believe that the model will facilitate logistic companies in converting unstructured documents to structured data and further perceive the ever-changing market trends to make far-sighted logistic decisions.

This study aimed to propose a performance-oriented approach of automatically generative design and optimization of hospital building layouts in consideration of public health emergency, which intended to conduct reasonable layout design of hospital building to meet different performance requirements for both high efficiency during normal periods and low risk in the pandemic.

The research design follows a sequential mixed methodology. First, key points and parameters of hospital building layout design (HBLD) are analyzed. Then, to meet the requirements of high efficiency and low risk, adjacent preference score and infection risk coefficient are constructed as constraints. On this basis, automatic generative design is conducted to generate building layout schemes. Finally, multi-objective deviation analysis is carried out to obtain the optimal scheme of hospital building layouts.

Automatic generative design of building layouts that integrates adjacent preferences and infection risks enables hospitals to achieve rapid transitions between normal (high efficiency) and pandemic (low risk) periods, which can effectively respond to public health emergencies. The proposed approach has been verified in an actual project, which can help systematically explore the solution for better decision-making.

The form of building layouts is limited to rectangles, and future work can explore conducting irregular layouts into optimization for the framework of generative design.

The contribution of this paper is the developed approach that can quickly and effectively generate more hospital layout alternatives satisfying high operational efficiency and low infection risk by formulating space design rules, which is of great significance in response to public health emergency.