Main Research Topics Research Articles

Navigating the Evolution of Game-Based Educational Approaches in Secondary STEM Education: A Decade of Innovations and Challenges

The need to support science, technology, engineering, and mathematics (STEM) learning in secondary education is reflected in the ongoing investigation of innovative pedagogical practices, including game-based learning (GBL). Using an analysis of scholarly publications based on word co-occurrence, this study aimed to identify the main research themes addressed in the past decade by the scholarly community on game-based teaching and learning solutions in the context of STEM education in secondary schools, their evolution over time, and the key issues addressed in recent years. After a systematic selection, the titles and abstracts of the publications were collected in a text corpus and analyzed using T-LAB software version 7.2.1.4 (2022). A preliminary visual exploration of the keywords was performed to obtain an overall view of the issues addressed by the research. Specificity analysis was then applied to identify, for each subset of the corpus identified by the years of publication, the evolution of themes reflected in a change in the frequency of lemma use. Finally, to explore the most recent topics, the main thematic clusters of publications in the last three years were identified (thematic analysis of elementary contexts). The results suggest some changes in the issues addressed over the past decade, such as a shift in focus from the specific technologies and competitive elements of games to understanding how GBL can support engagement, motivation, and understanding of complex scientific concepts. The five key thematic clusters identified (“Experience”, “Application”, “Validation”, “Emotion”, and “Programming”) also indicate a stronger emphasis by the latest publications on the experiential and emotional components of learning, the need for empirical studies, and the integration of computational thinking and coding into GBL. Overall, this study indicates that GBL has the potential to become an integrated component of STEM education, evolving with pedagogical and technological innovations.

The diversity and risk of potential pathogenic bacteria on the surface of glaciers in the southeastern Tibetan Plateau

Glaciers, which constitute the world's largest global freshwater reservoir, are also natural microbial repositories. The frequent pandemic in recent years underscored the potential biosafety risks associated with the release of microorganisms from the accelerated melting of glaciers due to global warming. However, the characteristics of pathogenic microorganisms in glaciers are not well understood. The glacier surface is the primary area where glacier melting occurs that is often the main subject of research on the dynamics of pathogenic microbial communities in efforts to assess glacier biosafety risks and devise preventive measures. In this study, high-throughput sequencing and quantitative polymerase chain reaction methods were employed in analyses of the composition and quantities of potential pathogenic bacteria on the surfaces of glaciers in the southeastern Tibetan Plateau. The study identified 441 potential pathogenic species ranging from 215 to 4.39 × 1011 copies/g, with notable seasonal and environmental variations being found in the composition and quantity of potential pathogens. The highest level of diversity was observed in April and snow, while the highest quantities were observed in October and cryoconite. Host analysis revealed that >70 % of the species were pathogens affecting animals, with the highest proportion of zoonotic pathogens being observed in April. Analysis of aerosols and glacial meltwater dispersion suggested that these microbes originated from West Asia, primarily affecting the central and southern regions of China. Null model analysis indicated that the assembly of potential pathogenic microbial communities on glacier surfaces was largely governed by deterministic processes. In conclusion, potential pathogenic bacteria on glacier surfaces mainly originated from the snow and exhibited significant temporal and spatial variation patterns. These findings can be used to enhance researchers' ability to predict potential biosafety risks associated with pathogenic bacteria in glaciers and to prevent their negative impact on populations and ecological systems.

Five decades of language learning strategy research: a bibliometric review and research agenda

ABSTRACT As of 2024, almost fifty golden years have passed since the language learning strategy (LLS) concept was first brought to wide attention in 1975. This study analysed 2,580 publications indexed in the Web of Science Core Collection over the past five decades using bibliometric analysis and science mapping visualisation techniques to delineate the burgeoning scholarly discourse on LLSs regarding the leading researchers, countries, institutions, and sources. Author keywords were also analysed to explore the main research topics and h-classics publications were reviewed to understand the key focuses of the most impactful publications in LLS research. The findings reveal that research on LLSs is extremely vibrant despite facing severe competition from the self-regulation front in recent years. The USA, the PRC, England, and Taiwan dominate the production of knowledge in this field, and Rebecca Oxford, Ernesto Macaro, Suzanne Graham and Lawrence Jun Zhang have the highest average citations in their publications about LLSs. Further, System, Modern Language Journal and TESOL Quarterly have been the leading venues of publication for the most impactful outputs. The review of the 55 h-classics gave insight into future directions for LLS research theoretically, methodologically, and/or pedagogically.

The Use of Unmanned Aerial Systems for River Monitoring: A Bibliometric Analysis Covering the Last 25 Years

Cutting-edge technology for fluvial monitoring has revolutionised the field, enabling more comprehensive data collection, analysis, and interpretation. Traditional monitoring methods were limited in their spatial and temporal resolutions, but advancements in remote sensing, unmanned aerial systems (UASs), and other innovative technologies have significantly enhanced the fluvial monitoring capabilities. UASs equipped with advanced sensors enable detailed and precise fluvial monitoring by capturing high-resolution topographic data, generate accurate digital elevation models, and provide imagery of river channels, banks, and riparian zones. These data enable the identification of erosion and deposition patterns, the quantification of sediment transport, the evaluation of habitat quality, and the monitoring of river flows. The latter allows us to understand the dynamics of rivers during various hydrological events, including floods, droughts, and seasonal variations. This manuscript aims to provide an update on the main research themes and topics in the literature on the use of UASs for river monitoring. The latter is achieved through a bibliometric analysis of the publication trends and identifies the field’s key themes and collaborative networks. The bibliometric analysis shows trends in the number of publications, number of citations, top contributing countries, top publishing journals, top contributing institutions, and top authors. A total of 1085 publications on UAS monitoring in rivers are identified, published between 1999 and 2023, showing a steady annual growth rate of 24.44%. Bibliographic records are exported from the Web of Science (WoS) database using a comprehensive set of keywords. The bibliometric analysis of the raw data obtained from the WoS database is performed using the R software. The results highlight important trends and valuable insights related to the use of UASs in river monitoring, particularly in the last decade. The most frequently used author keywords outline the core themes of UASs monitoring research and highlight the interdisciplinary nature and collaborative efforts within the field. “River”, “topography”, “photogrammetry”, and “Structure-from-Motion” are the core themes of UASs monitoring research. These findings can guide future research and promote new interdisciplinary collaborations.

Delineating the field of language evolution research

Abstract Research on language evolution is an established subject area yet permeated by terminological controversies about which topics should be considered pertinent to the field and which not. By consequence, scholars focusing on language evolution struggle in providing precise demarcations of the discipline, where even the very central notions of evolution and language are elusive. We aimed at providing a data-driven characterisation of language evolution as a field of research by relying on quantitative analysis of data drawn from 697 reviews on 255 submissions from the Joint Conference on Language Evolution 2022 (Kanazawa, Japan). Our results delineate a field characterized by a core of main research topics such as iconicity, sign language, multimodality. Despite being explored within the framework of language evolution research, only very recently these topics became popular in linguistics. As a result, language evolution has the potential to emerge as a forefront of linguistic research, bringing innovation to the study of language. We also see the emergence of more recent topics like rhythm, music, and vocal learning. Furthermore, the community identifies cognitive science, primatology, archaeology, palaeoanthropology, and genetics as key areas, encouraging empirical rather than theoretical work. With new themes, models, and methodologies emerging, our results depict an intrinsically multidisciplinary and evolving research field, likely adapting as language itself.

Exploring research on competitive Para-cyclists and its related factors: A scoping review.

This scoping review aimed to explore the characteristics and performance factors of competitive Para-cyclists. A systematic search for studies on competitive Para-cycling on WOS, PubMed, SPORTDiscus and Scopus was performed until December 2023. Five methodological phases were followed: (i) identifying the research question, (ii) identifying relevant studies, (iii) study selection, (iv) charting the data, and (v) collating, summarizing, and reporting the results. A systematic search across multiple databases was performed until March 2024. Five methodological phases were employed: identifying the research question, relevant studies, study selection, charting data, and summarizing results. A total of 36 relevant studies were selected. Three main research themes emerged: Sport performance (n = 15), Biomechanics (n = 12), and Physical and mental health (n = 9). Despite progress, gaps were identified, particularly in physiological response to exercise, fitness, and training. Biomechanics studies focused on prosthetic use and aerodynamics, mostly involving lower-limb amputees and simulated tandem competition. Injury risk in Para-cycling appeared comparable to able-bodied cycling, but comprehensive studies considering confounding variables are needed. Overall, while research on Para-cycling is growing, more studies with larger and diverse samples across all sport classes are essential to advance scientific understanding in this field.

BIBLIOMETRIC REVIEW OF RESEARCH ON GREEN BUILDING ASSESSMENT METHOD BY CITESPACE AND HISTCITE

Numerous qualitative review studies have been conducted to enhance the understanding of current research status of green buildings (GBs). Green building assessment methods (GBAMs) are crucial to the development of GBs and relevant research works has received wide attention. However, there are very few reviews to quantitively explore these studies. Therefore, this paper aims to systematically review literatures on GBAMs, and visually analyzes them through CiteSpace and HistCite. The article identified the most influential journals, contributors, representative institutions and regions. The knowledge bases of this area focus on “triple bottom line”, “indicator”, “building design”, “life cycle costing”, “life cycle sustainability assessment”, “tropical climate”, “building information modelling” and “Chinese green building label”. Through citation analysis, “updating existing GBAMs by scheme comparison”, “updating existing GBAMs by GB case analysis”, “establishment of new GBAMs” and “incorporation of BIM in GBAMs” were found as the main research themes. “Design”, “LCA”, “model”, “energy”, “management”, “residential buildings” and “office buildings” are high-frequency keywords. Future research directions were finally proposed as “more investigation on the other types of GBs”, “incorporation of cost-related criteria”, “enhancing health-related indicators” and“integrating with BIM technology”. The results could provide a useful reference to industry practitioners and scholars interested in GBAMs.

Neutrophil-Derived Proteases in Lung Inflammation: Old Players and New Prospects

Neutrophil-derived proteases are critical to the pathology of many inflammatory lung diseases, both chronic and acute. These abundant enzymes play roles in key neutrophil functions, such as neutrophil extracellular trap formation and reactive oxygen species release. They may also be released, inducing tissue damage and loss of tissue function. Historically, the neutrophil serine proteases (NSPs) have been the main subject of neutrophil protease research. Despite highly promising cell-based and animal model work, clinical trials involving the inhibition of NSPs have shown mixed results in lung disease patients. As such, the cutting edge of neutrophil-derived protease research has shifted to proteases that have had little-to-no research in neutrophils to date. These include the cysteine and serine cathepsins, the metzincins and the calpains, among others. This review aims to outline the previous work carried out on NSPs, including the shortcomings of some of the inhibitor-orientated clinical trials. Our growing understanding of other proteases involved in neutrophil function and neutrophilic lung inflammation will then be discussed. Additionally, the potential of targeting these more obscure neutrophil proteases will be highlighted, as they may represent new targets for inhibitor-based treatments of neutrophil-mediated lung inflammation.

Mapping research on knowledge management in family firms: a bibliometric analysis

PurposeGiven the growing interest in the topic of knowledge management (KM) in family firms (FFs) and the subsequent increasing number of papers published, this study aims to review the field to identify and analyze the main themes and trends.Design/methodology/approachThis study applies bibliometric techniques to a sample of 146 papers published from 2007 to 2023 and their 8,126 unique cited references. Bibliometric coupling is performed on the sample papers to explore the current intellectual structure of the field of KM in FFs, whereas cocitations analysis is performed to investigate the different literature streams that served as roots for the development of such a field.FindingsBibliographic coupling reveals that sample papers can be grouped into four clusters, and, through papers content analysis, the author identifies their core themes as knowledge sharing, innovation, knowledge-based dynamic capabilities and intellectual capital. Cocitation analysis of the cited references revealed four main clusters that can be considered the literature streams that served as roots for the development of the field, i.e. knowledge-based view, socioemotional wealth, strategic management and social capital (as a theory and as a resource).Originality/valueThis study contributes to the literature on KM in FFs by extending prior systematic review efforts with bibliometric analyses and combining these results to highlight connections between the main research themes around which scholars have debated (i.e. the clusters identified through bibliometric coupling) and their theoretical foundations (i.e. the clusters identified through cocitation analysis). This study also has practical implications by synthesizing and informing managers about FFs’ advantages and weaknesses in the KM process.

Glioblastoma: a comprehensive approach combining bibliometric analysis, Latent Dirichlet Allocation, and HJ-Biplot : Glioblastoma insights and trends: a 49-year bibliometric analysis.

Glioblastoma is a common and aggressive malignant central nervous system tumor in adults. This study aims to evaluate and analyze the scientific results, collaboration countries, main research topics, and topics over time reported about glioblastoma. A bibliometric analysis of glioblastoma publications was performed mainly using R and Multbiplot software for author, journal, and resume. Associated statistic methods Latent Dirichlet Allocation (LDA) and HJ-Biplot. Inclusion criteria were research articles from the PubMed database published in English between 1973 and December 2022. A total of 64,823 documents with an annual growth rate of 8.27% indicates a consistent increase in research output over time. The results for the number of citations and significant publications showed Cancer Res, J Neuro-Oncol, and Neuro-Oncology are the most influential journals in the field of glioblastoma. The countries that concentrated research were the tumor United States, China, Germany, and Italy. Finally, there has been a marked growth in studies on prognosis and patient survival, therapies, and treatments for glioblastoma. These findings reinforce the need for increased global resources to address glioblastoma, particularly in underdeveloped countries. Glioblastoma research's exponential growth reflects sustained interest in early diagnosis and patient survival.

Bibliometric Analysis of Nanostructured Anodes for Electro-Oxidative Wastewater Treatment

Last decade, a growing emphasis on developing sustainable and environmentally friendly technologies for electro-oxidative wastewater treatment has catalyzed innovation and spurred research efforts worldwide. Researchers may explore the use of renewable energy sources to drive electrochemical processes, as well as the development of eco-friendly electrode materials for wastewater treatments. The integration of nanostructured anodes into the electrolytic system for wastewater treatment has led to significant advancements in the removal of pollutants via electro-oxidation. Despite the great number of research articles related to the development and use of nanostructured anodes for electro-oxidative wastewater treatment, to our knowledge, no bibliometric analysis has been published in this domain. Therefore, this work presents a bibliometric study of publications on the designated theme, retrieved from the Web of Science Core Collection database, which were published over the last decade. The visual and network analysis of co-authorship among authors, organizations, countries, co-citation of authors, citation of documents and sources, as well as the co-occurrence of author keywords was performed using two compatible pieces of scientometric software, namely VOSviewer (version 1.6.18) and CiteSpace (version 6.2.R4). From 2013 to 2023, there has been a gradual increase in the number of publications regarding the development and use of nanostructured anodes for electro-oxidative wastewater treatment. It suggests a steady advancement in this field. The People’s Republic of China emerges as the most productive country, and it is a leader in international collaborations. Also, the United States of America, South Korea, and European Union countries have significant impacts on the research in this domain. The development and application of nanostructured materials for urea electro-oxidation is a main and prospective research theme. This bibliometric analysis allowed for the visualization of the present landscape and upcoming trends in this research field, thereby facilitating future collaborative research endeavors and knowledge exchange.

The Churching of Culture as a Main Research Theme of S. S. Averintsev

The Churching of Culture as a Main Research Theme of S. S. Averintsev

Bisnis Keluarga

This article presents how the factors affecting family owned and managed businesses are examined and related to how the business literature develops. In addition, it discusses important patterns in the current literature and new directions regarding family business for future study. This study identifies the main research topics and methodical approaches in a systematic literature review to understand the family business. Insights about behind the historic changes and current directions and trends of family business literature are also identified. The findings of this study argue that the main cause of challenges in running a family business is sourced from managing the relationship between family interests and business interests. The key success factors are strong leadership and building a culture that accepts continuous change.

Development Status and Future Prospects of Photovoltaic Cells

With the rapid development of social economy, the consumption of conventional energy is growing at an amazing rate. The energy shortage crisis and the environmental problems brought by conventional energy will seriously restrict social development and affect the daily lives of residents. Therefore, paying attention to the creation and use of new energy, protecting the environment, improving efficiency, controlling the emission of pollutants and realizing sustainable development have become the main research topics in the new era of the energy sector. Photovoltaic energy has the advantages of economic energy saving, green environmental protection, wide application and sustainability, and is an ideal new energy, that has been developed to the third generation. This paper mainly combs the development process of photovoltaic technology, summarizes the characteristics, advantages and disadvantages of the third generation of photovoltaic technology, analyzes the current situation and prospects of photovoltaic technology development, and analyzes the problems and challenges faced. This research finds that as the economy and technology continue to advance, photovoltaic cell technology is developing rapidly, and the application cost is constantly reduced. The photovoltaic cell industry will get more attention and better development, and its application prospect is very broad. The research of this topic is helpful in enhancing the comprehensive and objective understanding of the development of photovoltaic cell technology, and will provide a valuable reference in order to advance the photovoltaic sector in the future, which has important practical significance.

The Analytical Trait in FIKR (Facet, Insight, Knowledge and Resilience) Personality Profiling as an Important Personality Trait to Identify the Climate Changer Leadership: A Lacking Knowledge in the Literature

Purpose: This short note aims to review all the available literature using the keywords ‘Leader Personality’ in the Scopus database and propose the usage of analytical traits in FIKR (Facet, Insight, Knowledge and Resilience) personality profiling (PP) to identify climate changer leadership with logical rationales. Methodology: Using the Scopus database on 26 April 2024, with the keywords ‘Leader Personality’ in the article title. Bibliometric analyses were performed using VOSviewer to generate a clear graphical representation of bibliometric maps. Findings: A total of 250 papers were reached using the Scopus database search, which had high relevancy. Based on the visualization of the paper network confirming the main research themes, from 1920 to 2024, 20 items with 6 major clusters were found. However, the item with Analytical was not found in all the 6 major clusters. Therefore, all the above literature indicates that the use of analytical trait among leaders is still lacking in the literature. Following that, the usage of analytical traits in FIKR (Facet, Insight, Knowledge and Resilience) personality profiling (PP) to identify the climate changer leadership is proposed, with a hypothetical comparison of leadership between high and low analytical traits. A hypothetical comparison of leadership between high and low analytical traits can be used since a) Overall, a high analytical trait uses data-driven decisions, while low analytical personalities rely on intuition in leadership roles; b) Good communication style where high analytical leaders emphasize clear communication, while low analytical leaders use storytelling and emotional appeals; c) Efficient indecision-making process, where high analytical personalities analyze thoroughly before decisions, while low analytical individuals rely on instinct; d) Positive impact on team dynamics where teams under high analytical leaders focus on data-driven metrics, while teams under low analytical leaders emphasize creativity; e) Approach to challenges, where high analytical leaders break down challenges for systematic problem-solving, while low analytical leaders tackle challenges holistically. Unique contribution to theory, practice and policy: Hence, there is a rationale to propose and to highlight the use of analytical trait in leaders of an organization. Therefore, this has become a novelty in this present paper. Overall, this analytical trait enables leaders to understand the complexity of climate change and its impact on various sectors, such as energy, agriculture, and transportation.

Bibliometric Analysis of Research Publication Trends on Job Rotation Satisfaction

Objective: Advances in data analysis tools enable the analysis of a large body of literature in the ever-growing study of Job Rotation. With the help of the Vosviewers application, you can answer research questions: the status of Job Rotation articles published in the selected journals from January 2014 – December 2023 and whether the number of Job Rotation articles has increased or decreased, and the main research topics studied in this article from 2014 to 2023, and whether it has shifted over the last 10 years. Design/methodology/approach: The method used in this research is qualitative research with a literature study approach. As for the data found, 233 documents were obtained and analyzed. This dataset was converted to CSV format and imported for Bibliometrix in analysis using VOSviwer and analysis included publication distribution year, country, keywords, and authors. Findings: The findings in this research show that 2023 will be the year with the highest number of research publications on the Job Rotation theme. The United States was identified as the country that made the largest contribution to the publication of this research. Kapellusch, J.M. is the author who contributed the most in terms of number of publications. Furthermore, the topics of work performance, motivation, talent management, and occupational safety provide great opportunities for further research to investigate these dimensions in more depth. This research also underlines the importance of bringing new contributions to the understanding of Job Rotation through further exploration of these topics. Research limitations/implications: The main limitation of the research should be considered the use of data derived only from the Scopus database. Originality/value: The paper reveals research trends and key research subject areas of research over the past 10 years. The results can help scholars to quickly understand job rotation research. This paper also provides an alternative approach to conducting literature reviews with computer-assisted analysis programs. The future focus for future research is towards a more thorough understanding of Job Rotation, as well as its implications in the context of human resource management and increasing organizational productivity.

Digital leadership: a systematic literature review and future research agenda

PurposeIn view of the increasing exploration and scattered literature on digital leadership, this study aims to clarify the concept, characteristics and structure of digital leadership, identify its focus research themes and further determine future research directions in this field.Design/methodology/approachA systematic literature review is adopted in this study using 53 academic documents published in peer-reviewed journals and conference proceedings, which comprehensively combs and analyzes the research achievements.FindingsThe key characteristics of digital leadership are vision motivation, digital empowerment, innovation and entrepreneurship, cross-boundary collaboration and dynamic adaptation. Digital strategic thinking, digital insight, digital change and digital talent development are the core dimensions of digital leadership. Besides, there are three main research topics: the application of digital leadership in certain contexts including school education, government governance and business management; the development of digital leadership scale within diverse contexts; and the effectiveness of digital leadership at the organizational, team and individual levels. Digital leadership has a positive role in organizational change and innovation, team effectiveness, and employee creativity and innovation behavior.Originality/valueThis study helps to clarify the connotation of digital leadership and its research progress, status and gaps, which contributes to the thorough knowledge system in the digital leadership area and the promising avenues for future research.

Smart tourism destinations: an overview of current research trends and a future research agenda

研究目的本研究旨在提供关于智慧目的地知识演变的概览, 并确定智慧目的地研究领域中涉及的关键问题、主要主题和子主题, 以及智慧目的地研究的研究空白, 同时提出未来研究议程以填补这些空白。研究方法本研究利用 Bibliometrix R 软件对发表的409篇智慧目的地文献进行了文献计量分析, 以全面回顾关于智慧目的地的研究, 并确定主要研究主题、文献中的空白以及未来的研究机会。研究发现基于研究结果, 本研究提出了智慧目的地研究的概念模型。该概念模型可作为进一步知识生成的基础。研究发现还为未来研究方向提供了启示, 强调了利用先进创新和数字化技术在智慧目的地各个维度上进行研究的机会。研究创新尽管过去的研究关注了智慧目的地的主题, 但本研究通过提出以可达性、可持续性、数字化、体验共创和创意为里程碑的新智慧目的地管理范式, 推进了科学知识的发展。

Constructing a Supplier-Buyer Network: Imported Goods Flow Tracking in the Tax Transaction Records in Armenia

Taxpayer networks are among main topics of research given the evolving applicability of modern technological solutions and raising importance for tax authorities to reveal hidden relationships or patterns in the taxpayer behavior. In this study, taxpayer networks are visualized and analyzed with the application of network analysis techniques and a generalizable methodology for product traceability over the supply chain is suggested. In essence, taxpayer networks depict the web of connections among taxpayers, highlighting the flow of goods, services, and financial transactions between them. Previous studies address the issue of product classification from transactional tax documents. Modern NLP techniques were applied for product categorization given only product description in Armenian language and with limited information. The developed algorithm was used as a starting point to identify which taxpayers were involved in the trade of a specific good and thus for network construction. A set of products was chosen for construction of the taxpayer network forming the supply chain from importers to final consumers. Adjusted by a markup, the amount of rice imported to Armenia was found and identified in the last nodes of the supply chain sold to final consumer and documented in tax receipts. Factors like local production are also considered during the analysis and solutions are suggested including price filters on the products subject to trade to filter out local production.

‘Almost nothing is firmly established’: A History of Heredity and Genetics in Mental Health Science

Background For more than a century, scientists have tried to find the key to causation of mental ill health in heredity and genetics. The difficulty of finding clear and actionable answers in our genes has not stopped them looking. This history offers important context to understanding mental health science today. Methods This article explores the main themes in research on genetics and inheritance in psychiatry from the second half of the nineteenth century to the present day, to address the question: what is the history of genetics as a causative explanation in mental health science? We take a critical historical approach to the literature, interrogating primary and secondary material for the light it brings to the research question, while considering the social and historical context. Results We begin with the statistics gathered in asylums and used to ‘prove’ the importance of heredity in mental ill health. We then move through early twentieth century Mendelian models of mental inheritance, the eugenics movement, the influence of social psychiatry, new classifications and techniques of the postwar era, the Human Genome Project and Genome Wide Association Studies (GWAS) and epigenetics. Setting these themes in historical context shows that this research was often popular because of wider social, political and cultural issues, which impacted the views of scientists just as they did those of policymakers, journalists and the general public. Conclusions We argue that attempting to unpick this complex history is essential to the modern ethics of mental health and genetics, as well as helping to focus our efforts to better understand causation in mental ill-health.