Human-Robot Teaming: A Comprehensive Survey on Collaboration, Communication, and Cognition

In local and globalized markets, warehouses are crucial supply chain nodes. This study aimed to investigate the effect of warehousing on supply chain performance: A case of Inyange Industries Ltd. The goals were to evaluate how inventory management, warehouse capacity building, and material handling affects supply chain performance in Inyange Industries Ltd. This research experimented with three different theories: Just-in-time, Lean, and Triple-A supply chain. The population of this study were 105 staff members of Inyange Industries Ltd. Therefore, census was conducted because the population size is affordable and the researcher can be able to contact all the respondents. Quantitative data were analyzed using inferential research methodology in this study. Questionnaires were used to gather primary data, which was then analyzed. Data analysis was carried out using the Statistical Package for the Social Sciences (SPSS), and descriptive and inferential statistics were used to show the study's results. According to the research, supply chain performance is positively and significantly affected by both automated and manual material handling. Mechanical material handling, on the other hand, improves supply chain performance, but not much. Inyange Industries' supply chain performance is influenced by the material handling systems to the tune of 19.3%, as shown by the modified R2 value of 0.193. According to the research, supply chain performance is positively and significantly affected by inventory counts, warehouse management systems, and inventory organization. A 0.967 adjusted R^2 value suggests that 96.7% of the variation in Inyange Industries' supply chain performance is explained by the inventory management techniques. According to the research, supply chain effectiveness is positively and significantly impacted by warehouse demand planning, design, and management. Warehouse capacity planning techniques at Inyange Industries account for 95.4% of the variation in supply chain performance, as shown by the modified R2 value of 0.954. The research concluded that material handling, inventory management, and warehouse capacity planning are all important warehouse management measures that significantly impact supply chain performance for the better. The methods used by Inyange Industries Ltd. for managing their warehouses have resulted in an improvement in supply chain performance of 87.2%. The regression coefficients, supported by their t-test values and Beta coefficients, highlight both the significance and strength of relationships between independent and dependent variables. Material Handling demonstrated the greatest impact (β1=0.532, t=8.556, p=0.000), followed by Inventory Management (β2=0.379, t=6.147, p=0.000), and Warehouse Capacity Planning (β3=0.172, t=3.268, p=0.002), emphasizing their respective contributions to Supply Chain Performance of Inyange Industries Ltd.'s supply chain. This proved that material handling in warehouse management has a major influence on supply chain performance. Because the p-value was lower than 5%, we may say that the association is statistically significant. The research concluded that both automated and human material handling should get additional funding. To maximize efficiency in stock-taking as well. Previous studies have looked at a variety of organizational factors that affect performance of supply chains. To further understand how warehouse management strategies affect overall performance, more research is needed.

BackgroundMembranous glomerulonephritis, also known as membranous nephropathy (MN), is a common cause of nephrotic syndrome in adults. Despite extensive research on MN, bibliometric studies on the subject are scarce. Therefore, this study aimed to provide a visual analysis of global trends in membranous nephropathy research over the past 13 years.MethodsThis study conducted a bibliometric and visual analysis of global trends in MN research from 2010 to 2023. Articles related to MN were retrieved from the Web of Science Core Collection (WoSCC) database. Tools such as CiteSpace and VOSviewer were utilized to analyze publications, countries, institutions, authors, publishing journals, co-cited references, and keywords to identify the current state and future trends in MN research.ResultsThe analysis encompassed 1,624 publications, showing an annual increase from 2010 to 2023. The People’s Republic of China emerged as the most active country in this field, while France’s Sorbonne Universite and Institut National de la Sante et de la Recherche Medicale (Inserm) led in publication volume among academic institutions. Debiec Hanna stood out as the most prolific author. BMC Nephrology had the highest number of publications, making it the most favored journal in the field. The article with the greatest co-citation intensity was “Primary Membranous Nephropathy,” a review published in 2017.ConclusionThis study shows that there has been increasing interest in membranous nephropathy over the past 13 years. The most frequently encountered keywords were “membranous nephropathy” “nephrotic syndrome,” and “glomerulonephritis.” Analysis of emerging terms indicated that “a2 receptor antibody,” “domain containing 7a,” and “t cell” may remain prominent subjects of research in the forthcoming years. The findings highlight key research trends and areas of interest that can inform researchers, clinicians, and policymakers about the current state of MN research and help guide future research directions and clinical practice.

본 연구는 2000년 이후 수업에서의 동영상 활용의 학교 맥락(학교급, 교과), 활용 유형 및 방법과 효과에 대한 연구 동향을 알아보고자 하였다. 이를 위해 2000년 이후의 유, 초, 중등 학령기 학생을 연구대상으로 연구한 국내 학술지 논문 중 KCI 등재 및 등재 후보 논문 69편을 선정하였다. 분석 결과, 학교급에서는 초등, 교과에서는 창의적 체험활동, 동영상 유형은 영화 드라마 및 애니메이션, 동영상 활용 방법은 교사학습안내 및 학생학습도구 활용 혼합형, 학습효과는 정의적 영역의 학습 효과를 연구한 논문이 가장 많은 것으로 나타났다. 분석 결과, 현재 원격 수업과 등교 수업이 병행적으로 이루어지고 있는 새로운 형태의 학교 수업의 상황에서 학교급, 교과 및 학습자의 특성, 매체 접근성 등을 포함한 환경적 특성을 고려한 교수 학습 전략 및 능동적 학습 환경이 탐색될 필요가 있음을 제안하였다.

Human-robot collaboration (HRC) in construction primarily aims at supporting human workers in performing demanding tasks. In human-robot teams, maintaining proper situational awareness is a key element of successful collaboration. In this context, one effective approach is to incorporate visual cues (i.e., explicit visual aids) into HRC through novel visualization technologies. To that end, this study investigates the impact of visual cues on workers’ situational awareness during HRC at construction jobsites. Visual cues, mainly related to the safe distance of working with autonomous robots, were embedded into an immersive virtual environment. An experiment then was conducted in which participants performed a brick-laying task in collaboration with an autonomous material lift enhancer robot with and without provided visual cues. Participants’ situational awareness in each condition was measured using electroencephalogram (EEG) signals during the task performance. Beta-band activity in specific brain regions was used as an indicator of situational awareness status. The Mann-Whitney U test revealed statistically significant differences between Beta activity in two experimental conditions, indicating higher situational awareness during HRC with visual cues. The findings of this study can pave the path toward effective utilization of visual cues in future human-robot collaboration at construction.

In the past two decades, interest in demand response (DR) schemes has grown exponentially. The need for DR has been driven by sustainability (environmental and socioeconomic) and cost-efficiency. The main premise of DR is to influence the timing and magnitude of consumption to match energy supply by sharing the benefits with consumers, ultimately aiming to optimize generation cost. As such, the first and primary enabler to DR was the establishment of contemporary electricity markets. Increased proliferation of Distributed Energy Resources (DER) and microgeneration further motivated the participation of consumers as active players in the market, popularizing DR and the wider category of Demand-Side Management (DSM) programs. Smart Grids (SG) have been an enabler to modern DR schemes, with smart metering data providing input to the underlying optimization and forecasting tools. The more recent emergence of the Internet of Energy (IoE), seen as the evolution of SG, is driven by increased Internet of Things (IoT)-enabling and high penetration of scalable and distributed energy resources. In this IoE paradigm being a fully decentralized network of energy prosumers, DR will continue to be a vital aspect of the grid in future Transactive Energy (TE) schemes, aiming for a more user-centered, energy-efficient, cost-saving, energy management approach. This paper investigates original motives and identifies the first mentions of DR in the legislative and scientific literature. Afterwards, the evolution of DR is tracked over the past four decades, attempting to study the co-influence of legislation and research by performing a thorough statistical analysis of research trends on the IEEE Xplore digital library. Finally, conclusions are made as to the current state of DR and future prospects of DR are discussed.

Since the dawn of new millennium, sustainable procurement (SP) has captivated the attention of scholars worldwide. In this context, this paper provides a critical analysis of SP research trend in supply chain management (SCM) journals. The analysis has been carried out using existing literature of SP research contributed by the authors and institutions from assorted countries. Specifically, the research tendency of SP in SCM is identified through a systematic analysis of sustainable procurement research articles published in ten selected SCM journals from 1990 to 2016. The analysis revealed that SP research has an increasing trend in recent times, indicating its widely growing significance. The research topics covered in this paper to focus on the sustainability issues of procurement practices are sustainability issues on the network of supply chain, foundation, SP process, and enablers as well as the determinant of SP. This comprehensive study provides practical insights to researchers and industrialists on the nature and scope of SP in SCM.

Since the dawn of new millennium, sustainable procurement (SP) has captivated the attention of scholars worldwide. In this context, this paper provides a critical analysis of SP research trend in supply chain management (SCM) journals. The analysis has been carried out using existing literature of SP research contributed by the authors and institutions from assorted countries. Specifically, the research tendency of SP in SCM is identified through a systematic analysis of sustainable procurement research articles published in ten selected SCM journals from 1990 to 2016. The analysis revealed that SP research has an increasing trend in recent times, indicating its widely growing significance. The research topics covered in this paper to focus on the sustainability issues of procurement practices are sustainability issues on the network of supply chain, foundation, SP process, and enablers as well as the determinant of SP. This comprehensive study provides practical insights to researchers and industrialists on the nature and scope of SP in SCM.

Among the major trends currently reshaping the organization and functioning of modern cities are the concepts of sustainable development, digital transformation, and urban resilience. The rapid advancement of these concepts in recent years is reflected in the growing volume of scientific publications across all three areas. This article aims to analyze these key research trends related to the development of contemporary cities and to identify their impact on urban public transport systems, which constitute a critical element of citizen services. Two complementary literature review methods were applied: a systematic review and a narrative review. The systematic review was designed to identify publications associated with each of the analyzed research trends, while the narrative review provided the basis for evaluating the influence of these developmental concepts on public transport systems in cities. The findings indicate strong interconnections between the notions of smart cities and sustainable cities, while the concept of resilience, as the most recent approach, draws upon selected assumptions of both. All three concepts exert a considerable influence on urban mobility. Sustainable development alters residents’ transport behaviors, smart mobility enhances the implementation and efficiency of transport processes, and well-functioning public transport systems play a crucial role in urban crisis management. Based on the analysis of research trends in public transport and ongoing technological transformations, the study identifies the main challenges and potential directions for the future development of urban public transport.

Soldiers often experience poor sleep quality and insufficient sleep, exacerbated by deployments, which significantly impact on their mental and physical health, including increased risks of psychological disorders and chronic illnesses, ultimately affecting military readiness and morale. This study aimed to identify research trends on sleep hygiene among soldiers through a scoping review to provide foundational data for the development of health promotion programs and policies. A scoping review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) process. This study was performed using 9 databases, including PubMed, Cumulative Index to Nursing and Allied Health Literature, PsycINFO, Web of Science, KMBASE, KISS, KNBASE, ScienceOn, and DBpia. Of 4,796 publications identified, 16 studies were ultimately included in this scoping review. Factors associated with soldiers' sleep hygiene were categorized based on the socio-ecological model, which included individual, organizational, and intervention related factors. The study was deemed exempt by the Institutional Review Board of the Korea Armed Forces Nursing Academy. Most studies reported significant challenges to sleep hygiene among soldiers, with common issues including insufficient sleep duration and poor sleep quality, especially under high-stress conditions such as deployment and shift work. A total of 41 factors influencing soldiers' sleep hygiene were identified: 20 at the individual level, 12 at the organizational level, and 9 at the intervention level. This review analyzed research trends on sleep hygiene among soldiers. It highlights the need for programs and policy support to improve sleep hygiene in soldiers, which, in turn, can enhance their health and strengthen overall combat readiness.

The primary purpose of this study is to perform a comprehensive bibliometric analysis of research landscape of big data in healthcare. Big data as a significant technology used in healthcare during the past decade has led to the exponential growth in scientific literature. This study is focused on analysis of many crucial bibliometric indicators such as, overall research output, author productivity, institutional productivity, country wise productivity, collaboration analysis, research trends along with a thematic focus of research output in big data and healthcare. The analysis has been performed on 2294 research articles published in 1018 publication sources from SCOPUS and Web of Science databases. The initial results of the study performed from year 2012 reveals that in the first year 6 research articles were published in the given domain. Then every year the growth of published articles in the field was exponential, however years 2019 to 2021 were the most productive and incremental in terms of number of publications. The analysis results of the study present the performance analysis of research production in terms of annual scientific production, most globally cited articles, author’s production over the time, most productive countries, and most relevant affiliations. In addition, the science mapping analysis including the indicators such as, keyword Co-occurrence, Thematic Mapping, Most Relevant Authors, annual source distribution, and collaboration Network analysis has been presented. The study delivers expedient contribution to the field of study by noticeably offering comprehensive analysis results regarding research hotspots and trends, thematic emphasis, and future direction of research in the field. These outcomes will aid researchers in big data and healthcare in planning and designing the research and the challenges and opportunities needed to be explored.

The clinical learning environment is central to nursing and midwifery education, providing critical contexts for student training and professional development. This study fills a gap by offering a comprehensive bibliometric analysis of trends in The clinical learning environment research within nursing and midwifery education. A descriptive bibliometric study was conducted on June 7, 2024, using the Scopus database to retrieve research articles related to The clinical learning environment from 1957 until June 2024. VOSviewer software was used to analyze scientific collaborations and map co-occurrence networks of key terms. The United States and Australia led in publications and citations. Key journals included Nurse Education Today, Nurse Education in Practice, Journal of Advanced Nursing, and Journal of Clinical Nursing. Prominent authors like Saarikoski M. Levett-Jones T. and Henderson A. significantly contributed. Co-occurrence analysis highlighted themes such as student experiences, clinical competence, psychological factors, and teaching methodologies. This study highlights key trends in The clinical learning environment research and the significant contributions of specific countries, journals, and authors. The collaboration networks provide insights into the interrelated nature of various factors influencing the clinical learning environment. Limitations of the study include the reliance on a single database, which may not capture all relevant articles, particularly those in less prominent journals or non-English languages. Additionally, citation metrics may be influenced by factors such as self-citations or field-specific citation practices. These insights highlight areas for future research, including the role of virtual learning environments and cultural competency in The clinical learning environment. The findings contribute to shaping future research and practice in nursing and midwifery education.

This study aims to analyze research trends in politeness in the field of Korean language education, focusing on academic journal articles and theses published in Korea between 2012 and May 2025. A total of 177 studies were collected and categorized according to publication year, type of publication, research subjects, and research topics. The analysis revealed that 74 journal articles, 82 master’s theses, and 21 doctoral dissertations on politeness were published, and that research was most active between 2016 and 2019. In terms of research topics, studies on speech acts by Korean language learners were the most frequent, while studies on teaching materials were relatively limited. The research subjects were heavily concentrated on Chinese-speaking learners and those at intermediate to advanced proficiency levels, indicating a lack of studies targeting beginner-level learners or learners from diverse language backgrounds. Based on these findings, the study proposes three future directions for research on politeness in Korean language education. First, developing or improving systematic learning materials tailored to politeness education. Second, conducting empirical studies to evaluate the effectiveness of instructional approaches. Lastly, expanding the scope of research to include learners of various linguistic backgrounds and proficiency levels, particularly beginner learners. These suggestions aim to diversify and deepen the scope of politeness research in Korean language education.

A scientometric study on research characteristics of HIV/AIDS involving the oral cavity with an implication for public health

Over the past two decades, interest in minimally invasive scoliosis surgery (MISS) for adolescent idiopathic scoliosis (AIS) has grown substantially, driven by advancements in growth-based surgical techniques. Given the substantial advancements in MISS for AIS, investigating the bibliometric data of the scientific literature is crucial to understanding the current research trend and providing valuable insights into its future directions. However, limited information on MISS for AIS exists in the literature. The publication data related to MISS for AIS from 2004 to 2024 were exported from the Web of Science. The research output between 2004 and 2024 was 373 for publication volume, 7760 for citations, and 46 for h-index. The annual publication and citation trend over time showed a gradual increase with fluctuations up until 2017, followed by a sharp upward trend starting in 2018. The foremost countries and affiliations in this field were the United States and Montreal University in Canada, respectively. The top 10 most-cited articles on MISS in AIS predominantly focused on the topic of vertebral body tethering (VBT). Among the productive authors, most contributions were focused on VBT, while several authors in South Korea significantly contributed to the study of MISS via a posterior approach. Historical development of VBT and posterior MISS identified their current advantages and limitations and highlighted potential future research directions.

SummaryObjective: Consumer health informatics (CHI) has the potential to disrupt traditional but unsustainable break-fix models of healthcare and catalyse precision prevention of chronic disease – a preventable global burden. This perspective article reviewed how consumer health informatics can advance precision prevention across four research and practice areas: (1) public health policy and practice (2) individualised disease risk assessment (3) early detection and monitoring of disease (4) tailored intervention of modifiable health determinants.Methods: We review and narratively synthesise methods and published recent (2018 onwards) research evidence of interventional studies of consumer health informatics for precision prevention. An analysis of research trends, ethical considerations, and future directions is presented as a guide for consumers, researchers, and practitioners to collectively prioritise advancing two interlinked fields towards high-quality evidence generation to support practice translation. A health consumer co-author provided critical review at all stages of manuscript preparation, moderating the allied health, medical and nursing researcher perspectives represented in the authorship team.Results: Precision prevention of chronic disease is enabled by consumer health informatics methods and interventions in population health surveillance using real-world data (e.g., genomics) (public health policy and practice), disease prognosis (regression modelling, machine learning) (individualized disease risk assessment), wearable devices and mobile health (mHealth) applications that generate digital phenotypes (early detection and monitoring), and targeted behaviour change interventions based upon personalized risk algorithms (tailored intervention of modifiable health determinants). In our disease case studies, there was mixed evidence for the effectiveness of consumer health informatics to improve risk-stratified or behavioural prevention-related health outcomes. Research trends comprise both consumer-centred and healthcare-centred innovations, with emphasis on inclusive design methodologies, social licence of health data use, and federated learning to preserve data sovereignty and maximise cross-jurisdictional analytical power.Conclusions: Together, CHI and precision prevention represent a potential future vanguard in shifting from traditional and inefficient break-fix to predict-prevent models of healthcare. Meaningful researcher, practitioner, and consumer partnerships must focus on generating high-quality evidence from methodologically robust study designs to support consumer health informatics as a core enabler of precision prevention.