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This study aims to broaches several endemic challenges for academics who support doctoral writing: writers are emotionally protective of their own writing; writing a thesis in English as a second language is a challenging, complex task; and advising across cultures is delicate. Giving constructive feedback kindly, but with the rigour needed to raise writing quality can seem daunting. Addressing those issues, the authors offer a novel way of working with writing feedback across cultures.

The case study research team of two candidates and one supervisor stumbled onto an effective way of working across cultural and institutional difference. What began as advisory feedback on doctoral writing became an effective collaborative analysis of prose meaning-making. The authors reflected separately and collectively on how this happened, analysed reflections and this narrative inquiry approach led to theories of use to writing feedback practice.

The authors cross between theory and praxis, showing that advisors and supervisors can create Bhabha’s post-colonial third space (a promising social space that sits between cultures, beyond hierarchies, where new ways of thinking can be collaboratively generated) as a working environment for international doctoral writing feedback. Within this zone, Brechtian alienation, a theory from theatre practice, is applied to prompt emotional detachment that enables focus on writing clearly in academic English.

Arguably the writing feedback session the authors described remains bound by the generic expectations of a western education system. The study is exegetical, humanities reading of practice, rather than a social science gathering of empirical data. Yet the humanities approach suits the point that a change of language, attitude and theory can give positive leverage with doctoral writing feedback.

The authors provide a novel practical method of supporting international doctoral candidates’ writing with feedback across cultures. It entails attracting the writers’ interest in theory and persuading them, via theory, to look objectively and freshly at their own writing. Also backed by theory, a theoretical cross-cultural space allows for discussion about differences and similarities. Detachment from proprietorial emotions and cross-cultural openness enables productive work amongst the mechanics of clear academic English text.

Underpinned by sociocultural and metacognitive approaches to learning, reflection from student and supervisor perspectives (the data), and oriented by theory, the authors propose another strategy for supporting doctoral writing across cultures. The authors demonstrate a third space approach for writing feedback across cultures, showing how to operationalise theory.

This work aims to combine the cloud robotics technologies with deep reinforcement learning to build a distributed training architecture and accelerate the learning procedure of autonomous systems. Especially, a distributed training architecture for navigating unmanned aerial vehicles (UAVs) in complicated dynamic environments is proposed.

This study proposes a distributed training architecture named experience-sharing learner-worker (ESLW) for deep reinforcement learning to navigate UAVs in dynamic environments, which is inspired by cloud-based techniques. With the ESLW architecture, multiple worker nodes operating in different environments can generate training data in parallel, and then the learner node trains a policy through the training data collected by the worker nodes. Besides, this study proposes an extended experience replay (EER) strategy to ensure the method can be applied to experience sequences to improve training efficiency. To learn more about dynamic environments, convolutional long short-term memory (ConvLSTM) modules are adopted to extract spatiotemporal information from training sequences.

Experimental results demonstrate that the ESLW architecture and the EER strategy accelerate the convergence speed and the ConvLSTM modules specialize in extract sequential information when navigating UAVs in dynamic environments.

Inspired by the cloud robotics technologies, this study proposes a distributed ESLW architecture for navigating UAVs in dynamic environments. Besides, the EER strategy is proposed to speed up training processes of experience sequences, and the ConvLSTM modules are added to networks to make full use of the sequential experiences.

The purpose of this paper is to further explore the co-citation and bibliographic-coupling relationship among the core authors in the field of Chinese information science (IS), to expose research activity and author impact, and to make induction analyses about Chinese IS research patterns and theme evolution.

The research data include 8,567 papers and 70,947 cited articles in the IS field indexed by Chinese Social Sciences Citation Index from 2000 to 2009. Author co-citation analysis, author bibliographic-coupling analysis, social network analysis, and factor analysis were combined to explore co-citation and bibliographic-coupling relationships and to identify research groups and subjects.

Scholars with greatest impact are different from the most active scholars of Chinese IS; there is no uniform impact pattern forming since authors’ impact subjects are scattered and not steady; while authors’ research activities present higher independence and concentration, there is still no steady research pattern due to no deep research existing. Furthermore, Chinese IS studies can be delineated by: foundation or extension. The research subjects of these two parts, as well as their corresponding/contributing authors, are different under different views. The general research status of core authors is concentrated, while their impact is broad.

The combined use of some related methods could enrich the development and methodology research of the discipline, and the results establish a reference point on the development of IS research.

The purpose of this study is to provide an in-depth understanding about the indoor-orbital electrical inspection robot, which is useful for motivating the further investigation on the inspection of electrical equipment. Currently, electric energy has a strong correlation with the economic development of the country. Intelligent substations play an important role in the transmission and distribution of the electricity; the maintenance of the substation has attracted intensive attention due to the requirement of reliability and safety. The indoor-orbital electrical inspection robot has increasingly become the main tool to realize the unmanned. Hence, a systematic review is conducted systematically reviewing the current technical status of the indoor-orbital electrical inspection robot and discuss the existed problems.

In this paper, the most essential achievements in the field of indoor-orbital electrical inspection robots were reported to present the current status, and the mechanical structures and key inspective technologies were also discussed.

Four recommendations are provided from the analyzed review, which have made constructive comments on the overall structural design, functionality, intelligence and future development direction of the indoor-orbital electrical inspection robot, respectively.

To the best of the authors’ knowledge, this is the first systematic review study on indoor-orbital electrical inspection robots; it fills the theoretical gap and proffers design ideas and directions for the development of the indoor-orbital electrical inspection robot.