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The purpose of this study is to examine how doctoral students in the biological sciences understand their research skill development and explore potential racial/ethnic and gender inequalities in the scientific learning process.

Based on interviews with 87 doctoral students in the biological sciences, this study explores how doctoral students describe development of their research skills. More specifically, a constructivist grounded theory approach is employed to understand how doctoral students make meaning of their research skill development process and how that may vary by gender and race/ethnicity.

The findings reveal two emergent groups, “technicians” who focus on discrete tasks and data collection, and “interpreters” who combine technical expertise with attention to the larger scientific field. Although both groups are developing important skills, “interpreters” have a broader range of skills that support successful scholarly careers in science. Notably, white men are overrepresented among the “interpreters,” whereas white women and students from minoritized racial/ethnic groups are concentrated among the “technicians.”

While prior literature provides valuable insights into the inequalities across various aspects of doctoral socialization, scholars have rarely attended to examining inequalities in research skill development. This study provides new insights into the process of scientific learning in graduate school. Findings reveal that research skill development is not a uniform experience, and that doctoral education fosters different kinds of learning that vary by gender and race/ethnicity.

The motivation for the current exploration follows from the fact that one-third of the population in Saudi Arabia (SA) is expatriates. According to the Saudi General Authority for Statistic (https://www.stats.gov.sa/en), the total population in SA in 2021 is estimated at 33,413,660 people, 20,768,627 of whom are Saudi citizens whereas 12,645,033 are expatriates coming from different countries across the world, such as Afghanistan, Bangladesh, Egypt, India, Indonesia, Jordan, Pakistan, Philippines, Sudan, Sri Lanka, among many others. In this study, the author targeted limited English and Arabic proficiency patients (LEAPPs) from only three countries in the Near East: (1) Bangladesh, (2) India and (3) Pakistan. The author selected these three countries because they represent the high number of expatriates in SA. According to www.globalmediainsight.com, the population of the abovementioned nationalities in SA in 2021 is as follows: India (2,550,000 million), Pakistan (2,450,000 million) and Bangladesh (1,300,000 million) (see https://bit.ly/3NR6SfT). The main official languages for Pakistan, India and Bangladesh are Urdu, Hindu and Bengali respectively. Although the English language is the second official language in both Pakistan and India, it comes as a second language, not as a mother tongue. In other words, these LEAPPs are unlikely to have a full command of the English language.

The current study makes use of both quantitative and qualitative approaches. The quantitative component follows from the use of questionnaires whereas the qualitative part comes from the execution of face-to-face interviews. This mixed approach has been influential in earlier explorations (see, e.g. Terrel, 2012; Dawadi et al., 2021) and was used in this study to achieve two objectives: (1) to explore whether LEAPPs suffer linguistically when they visit a Saudi hospital, and this data can be elicited via questionnaires, and (2) to gain insights from LEAPPs' experience and attend to their suggestions towards the improvement of the linguistic landscape of the Saudi health system, and this can be gleaned from the interviews.

Based on questionnaires and interviews, the study shows that 64.5% of LEAPPs cannot express their health issues to Arabic-speaking physicians, while 54.8% cannot understand the details of their diagnoses and the guidelines of the prescriptions. Although there is a strong consensus among LEAPPs that interpretation services should be introduced to the Saudi health sector to achieve a better experience, 67.7% are generally satisfied with the current healthcare. Contra previous claims that patients are concerned about their privacy with the introduction of interpreters (see, e.g. Hadziabdic, 2011; Floyd and Sakellariou, 2017; MacFarlane et al. 2020), the present study shows that 70.9% of LEAPPs express no concerns regarding their privacy, whereas 19.3% adopt a neutral position.

Unlike Al-Khathami et al. (2010) who explored the perspective of Saudi patients towards nonArabic speaking nurses and contra Alhammami (2020) who examined the attitudes of the nonArabic speaking doctors towards Saudi patients, the current study shed more light on a neglected sample, namely the laborers, janitors and other craftsmen who have limited knowledge of both Arabic and English and who visited a Saudi clinic/hospital and were met by Arabic-speaking physicians.

Voice command and voice search are becoming increasingly popular in the hospitality and tourism industry, with many hotels and travel companies investing in voice-enabled technology to improve guest experiences and streamline operations. This technology allows travellers to manage their travel plans, request services and get information through natural voice commands on any voice-enabled device. Voice assistants are also multilingual, allowing hotels to customise responses to guests who do not speak the local language. Angie, a multilingual, in-room voice assistant, is an example of this technology. It can fulfil guest requests, answer common questions about the property and create streamlined access to a wide range of hotel amenities, such as ordering room service or requesting extra towels. Hotels can control questions and responses to assist stretched staff and provide upsell and advertising revenue through digital promotions or recommended onsite amenities or discounts. In addition, voice command technology can be used to book travel and find things to do at a destination. Google Assistant can help with travel plans like booking a hotel, checking flight status and finding things to do at a destination. In conclusion, voice command and voice search technology are transforming the hospitality and tourism industry by improving guest experiences, reducing operational costs and increasing revenue.

The study investigated the feedback seeking abilities of learners in L2 writing classrooms using ChatGPT as an automated written corrective feedback (AWCF) provider. Specifically, the research embarked on the exploration of L2 writers’ feedback seeking abilities in interacting with ChatGPT for feedback and their perceptions thereof in the new learning environment.

Three EFL learners of distinct language proficiencies and technological competences were recruited to participate in the mixed method multiple case study. The researcher used observation and in-depth interview to collect the ChatGPT prompts written by the participants and their reflections of feedback seeking in the project.

The study revealed that: (1) students with different academic profiles display varied abilities to utilize the feedback seeking strategies; (2) the significance of feedback seeking agency was agreed upon and (3) the promoting factors for the development of students’ feedback seeking abilities are the proactivity of involvement and the command of metacognitive regulatory skills.

Additionally, a conceptual model of feedback seeking in an AI-mediated learning environment was postulated. The research has its conceptual and practical implications for researchers and educators expecting to incorporate ChatGPT in teaching and learning. The research unveiled the significance and potential of using state-of-the-art technologies in education. However, since we are still in an early phase applying such tools in authentic pedagogical environments, many instructional redevelopment and rearrangement should be considered and implemented.

The work is a pioneering effort to explore learners' feedback seeking abilities in a ChatGPT-enhanced learning environment. It pointed out new directions for process-, and student-oriented research in the era of changes.

Deaf people, who are British Sign Language (BSL) users, are, at times, carers for their parent or spouse when they have dementia. This can be a challenging role for the wider population, but if the common language in service provision is not one you share, then this care can be impacted by the lack of formal structures that support the Deaf caring role. This study aims to explore the experiences of Deaf carers supporting people with dementia, in an unpaid role, during the COVID-19 pandemic to understand more about their potential support preferences.

Online interviews with seven Deaf carers sharing their experiences of supporting their family member with dementia happened during the first year of the COVID-19 pandemic. Interpretive phenomenological analysis was used to qualitatively examine each Deaf carers’ stories.

Findings included Deaf carers’ lack of access to information, surrendering their autonomy to hearing family members to communicate with health-care professionals, with overarching isolation within local communities and online. Findings show a widespread infrastructural failure to meet the linguistic and specific support needs of this minority population.

Seven Deaf carers took part in this study. This means the findings may not be generalisable.

Health-care professionals and social care structures need to develop robust clear communication pathways for Deaf carers to receive the support needed to provide effective care.

If health-care professionals undertake training about Deaf people and BSL, that will mean Deaf carers will receive effective support to be able to care for a person living with dementia. This means that their Deaf identity will be recognised within the mainstream and the care provided will be much more effective for the person with dementia.

To the best of the authors’ knowledge, these are the first interviews undertaken with Deaf carers of people with dementia during the COVID-19 pandemic and its subsequent lockdowns. Understanding everyday barriers and social care limitations in terms of language access will enable Deaf carers to assert their rights and for care professionals to adapt their communication to match the individuals involved in the care package.

This paper presents a survey of research into interactive robotic systems for the purpose of identifying the state of the art capabilities as well as the extant gaps in this emerging field. Communication is multimodal. Multimodality is a representation of many modes chosen from rhetorical aspects for its communication potentials. The author seeks to define the available automation capabilities in communication using multimodalities that will support a proposed Interactive Robot System (IRS) as an AI mounted robotic platform to advance the speed and quality of military operational and tactical decision making.

This review will begin by presenting key developments in the robotic interaction field with the objective of identifying essential technological developments that set conditions for robotic platforms to function autonomously. After surveying the key aspects in Human Robot Interaction (HRI), Unmanned Autonomous System (UAS), visualization, Virtual Environment (VE) and prediction, the paper then proceeds to describe the gaps in the application areas that will require extension and integration to enable the prototyping of the IRS. A brief examination of other work in HRI-related fields concludes with a recapitulation of the IRS challenge that will set conditions for future success.

Using insights from a balanced cross section of sources from the government, academic, and commercial entities that contribute to HRI a multimodal IRS in military communication is introduced. Multimodal IRS (MIRS) in military communication has yet to be deployed.

Multimodal robotic interface for the MIRS is an interdisciplinary endeavour. This is not realistic that one can comprehend all expert and related knowledge and skills to design and develop such multimodal interactive robotic interface. In this brief preliminary survey, the author has discussed extant AI, robotics, NLP, CV, VDM, and VE applications that is directly related to multimodal interaction. Each mode of this multimodal communication is an active research area. Multimodal human/military robot communication is the ultimate goal of this research.

A multimodal autonomous robot in military communication using speech, images, gestures, VST and VE has yet to be deployed. Autonomous multimodal communication is expected to open wider possibilities for all armed forces. Given the density of the land domain, the army is in a position to exploit the opportunities for human–machine teaming (HMT) exposure. Naval and air forces will adopt platform specific suites for specially selected operators to integrate with and leverage this emerging technology. The possession of a flexible communications means that readily adapts to virtual training will enhance planning and mission rehearsals tremendously.

Interaction, perception, cognition and visualization based multimodal communication system is yet missing. Options to communicate, express and convey information in HMT setting with multiple options, suggestions and recommendations will certainly enhance military communication, strength, engagement, security, cognition, perception as well as the ability to act confidently for a successful mission.

The objective is to develop a multimodal autonomous interactive robot for military communications. This survey reports the state of the art, what exists and what is missing, what can be done and possibilities of extension that support the military in maintaining effective communication using multimodalities. There are some separate ongoing progresses, such as in machine-enabled speech, image recognition, tracking, visualizations for situational awareness, and virtual environments. At this time, there is no integrated approach for multimodal human robot interaction that proposes a flexible and agile communication. The report briefly introduces the research proposal about multimodal interactive robot in military communication.

Ovarian cancer (OC) is the most common type of gynecologic cancer in the world with a high rate of mortality. Due to manifestation of generic symptoms and absence of specific biomarkers, OC is usually diagnosed at a late stage. Machine learning models can be employed to predict driver genes implicated in causative mutations.

In the present study, a comprehensive next generation sequencing (NGS) analysis of whole exome sequences of 47 OC patients was carried out to identify clinically significant mutations. Nine functional features of 708 mutations identified were input into a machine learning classification model by employing the eXtreme Gradient Boosting (XGBoost) classifier method for prediction of OC driver genes.

The XGBoost classifier model yielded a classification accuracy of 0.946, which was superior to that obtained by other classifiers such as decision tree, Naive Bayes, random forest and support vector machine. Further, an interaction network was generated to identify and establish correlations with cancer-associated pathways and gene ontology data.

The final results revealed 12 putative candidate cancer driver genes, namely LAMA3, LAMC3, COL6A1, COL5A1, COL2A1, UGT1A1, BDNF, ANK1, WNT10A, FZD4, PLEKHG5 and CYP2C9, that may have implications in clinical diagnosis.

The purpose of this paper is to examine the concept of agency on basis of a pragmatist philosophy framework of analysis. Agency is a key analytical concept in management studies, debated in terms of its theoretical elements and its degree of empirical substantiation. Agency is commonly either assumed to be the case, understood as some generic human capacity to act with integrity, or, alternatively, agency is considered to be derived from social structures, say professional norms or occupational identities acquired through socialization. In contrast, in an attempt to escape the agency/structure model, agency may be considered as what is generated in and through meso-level interactions, constituted as recurrent practices wherein accomplishments in the past serve as the template for new activities that further reinforce agential capacities.

Drawing on the work of pragmatist philosopher Donald Davidson and what he calls the principle of charity, this paper presents an analytical model wherein agency is generated on basis of a shared everyday language wherein beliefs and preferences are constituted and thereafter serve as the basis of agential action.

Davidson’s externalist theory of action is supportive of the theory and study of meso-level interactions and helps to overcome the question whether agency is exogenously given or the effect of social structure.

This paper reviews recent social science literature on agency and introduces pragmatist philosophy concepts to better examine under what conditions social actors can reasonably have faith in an interaction being premised on beliefs that are held on basis of rational and reasonable grounds. This adds to an integrated theory of agency, being of importance for social theory and organizational analysis more specifically.

Is liberalism premised on an unrealistically individualist anthropology? In one regularly told story about modernity, the earliest liberals grounded their arguments for political liberty in a picture of human nature that centered on our moral autonomy, perhaps epitomized best in Kantian thought. However, a range of critics have now compellingly argued that such accounts of our agency are descriptively inaccurate, and that normative social projects beginning from such flawed foundations are thus unstable. While this paper accepts this criticism of individualist anthropologies, it proposes that this need not identify a problem with liberalism overall. To make this case, this paper turns to Adam Smith, who grounded his early advocacy of liberalism in an anthropology grounded in natural theology that depicts us as morally interconnected, rather than as autonomous, and as always morally impressionable. As it will explain, Smith presumed an account of character as integrally related to and influenced by the agent’s social context, for both better and worse. Furthermore, he wove his attentiveness to this complex interaction between the agent and their context into both his economic analyses and political proposals. Smith’s social vision thus illustrates how a strong regard for individual liberty is fully compatible with a sophisticated anthropology that recognizes our malleability as moral agents – and even with political proposals that capitalize upon this malleability. Smith’s thought thus offers useful resources for contemporary proponents of liberalism who wish to value the dignity of individuals without basing that valuation in unrealistic abstractions, or ignoring the responsibilities engendered by the fact of our ongoing moral formation by our social contexts.