A bibliometric analysis of research in design for additive manufacturing

Purpose The purpose of this paper is to understand how Design for Additive manufacturing Knowledge has been developing and its significance to both academia and industry. Design/methodology/approach In this paper, the authors use a bibliometric approach to analyse publications from January 2010 to December 2020 to explore the subject areas, publication outlets, most active authors, geographical distribution of scholarly outputs, collaboration and co-citations at both institutional and geographical levels and outcomes from keywords analysis. Findings The findings reveal that most knowledge has been developed in DfAM methods, rules and guidelines. This may suggest that designers are trying to learn new ways of harnessing the freedom offered by AM. Furthermore, more knowledge is needed to understand how to tackle the inherent limitations of AM processes. Moreover, DfAM knowledge has thus far been developed mostly by authors in a small number of institutional and geographical clusters, potentially limiting diverse perspectives and synergies from international collaboration which are essential for global knowledge development, for improvement of the quality of DfAM research and for its wider dissemination. Originality/value A concise structure of DfAM knowledge areas upon which the bibliometric analysis was conducted has been developed. Furthermore, areas where research is concentrated and those that require further knowledge development are revealed.

LANGUAGE BOUNDARIES, PUBLISHING, AND POWER

Applied anthropologists in the English-speaking world tend to disregard publications in other languages; institutions emphasize English-language publishing and give less credence or value to work in other languages. Even applied anthropologists writing in non-English languages often privilege English sources. The invisibility of non-English applied anthropology diminishes the richness of our field, as we miss opportunities to gain insights from different academic, practice, and cultural traditions. This paper, based on a panel held at the 2021 SfAA Meetings, presents reflections on the challenges of language in the circulation of global knowledge for anthropological practice. We highlight the power relations embedded in language, as well as opportunities for applied anthropologists to promote communication and collaboration across boundaries.

Trans-AI: How to Build True AI or Real Machine Intelligence and Learning

We are at the edge of colossal changes. This is a critical moment of historical choice and opportunity. It could be the best 5 years ahead of us that we have ever had in human history or one of the worst, because we have all the power, technology and knowledge to create the most fundamental general-purpose technology (GPT), which could completely upend the whole human history. The most im-portant GPTs were fire, the wheel, language, writing, the printing press, the steam engine, electric power, information and telecommunications technology, all to be topped by real artificial intelligence technology. Our study refers to Why and How the Real Machine Intelligence or True AI or Real Su-perintelligence (RSI) could be designed and developed, deployed and distributed in the next 5 years. The whole idea of RSI took about three decades in three phases. The first conceptual model of Trans-AI was published in 1989. It covered all possible physical phenomena, effects and processes. The more extended model of Real AI was developed in 1999. A complete theory of superintelligence, with its reality model, global knowledge base, NL programing language, and master algorithm, was presented in 2008. The RSI project has been finally completed in 2020, with some key findings and discoveries being published on the EU AI Alliance/Futurium site in 20+ articles. The RSI features a unifying World Metamodel (Global Ontology), with a General Intelligence Framework (Master Algo-rithm), Standard Data Type Hierarchy, NL Programming Language, to effectively interact with the world by intelligent processing of its data, from the web data to the real-world data. The basic results with technical specifications, classifications, formulas, algorithms, designs and patterns, were kept as a trade secret and documented as the Corporate Confidential Report: How to Engineer Man-Machine Superintelligence 2025. As a member of EU AI Alliance, the author has proposed the Man-Machine RSI Platform as a key part of Transnational EU-Russia Project. To shape a smart and sustainable fu-ture, the world should invest into the RSI Science and Technology, for the Trans-AI paradigm is the way to an inclusive, instrumented, interconnected and intelligent world.

Control Strategies to Cope with Late Wilt of Maize

Control of maize late wilt disease (LWD) has been at the forefront of research efforts since the discovery of the disease in the 1960s. The disease has become a major economic restraint in highly affected areas such as Egypt and Israel, and is of constant concern in other counties. LWD causes dehydration and collapsing at a late stage of maize cultivation, starting from the male flowering phase. The disease causal agent, Magnaporthiopsis maydis, is a seed- and soil-borne phytoparasitic fungus, penetrating the roots at sprouting, colonizing the vascular system without external symptoms, and spreading upwards in the xylem, eventually blocking the water supply to the plant’s upperparts. Nowadays, the disease’s control relies mostly on identifying and developing resistant maize cultivars. Still, host resistance can be limited because M. maydis undergoes pathogenic variations, and virulent strains can eventually overcome the host immunity. This alarming status is driving researchers to continue to seek other control methods. The current review will summarize the various strategies tested over the years to minimize the disease damage. These options include agricultural (crop rotation, cover crop, no-till, flooding the land before sowing, and balanced soil fertility), physical (solar heating), allelochemical, biological, and chemical interventions. Some of these methods have shown promising success, while others have contributed to our understanding of the disease development and the environmental and host-related factors that have shaped its outcome. The most updated global knowledge about LWD control will be presented, and knowledge gaps and future aims will be discussed.

Individual Learning Accounts: A Comparison of Implemented and Proposed Initiatives

Access to lifelong learning opportunities has long been discussed in terms of the economic benefits conferred by access to and engagement in further education by members of the labor force, particularly within the global knowledge economy. However, equitable access to lifelong education opportunities, particularly for low-skilled adults in the labor force, has been lacking. The Organisation for Economic Cooperation and Development (OECD) identified three models for funding adult learning: (1) individual learning accounts, (2) individual savings accounts, and (3) training vouchers. The current study discusses examples of these models, either proposed or implemented, across four countries or economic blocks—France, Canada, the United Kingdom, and the United States. In addition, to understand the importance of providing funding for education and training to adults with low levels literacy skills, we use data from the Program for the International Assessment for Adult Competencies (PIAAC) to compare participation in adult education and training (AET) by literacy skill levels. In all countries examined, adults with low literacy skills participated in AET at lower rates than those with middle and high levels of literacy skills. To be successful in reaching adults most in need of skill upgrading, financing models need to provide adequate funds for meaningful skill upgrades, have well-structured information sources (e.g., websites) that are easily navigated by the target population, and include policies to screen educational providers for program quality.

Disability, Education, and Work in a Global Knowledge Economy

Governments around the world press for higher levels of education and skills for all their young people. They believe that, despite recessions and job losses, people are “human capital” who need to invest in their own training and help grow economies. In England in 2019, disabled adults made up 20% of potential workers, but only half of them were employed. This chapter discusses the changing nature of the labor market and the place of young people regarded as having special educational needs or disabilities in education and training, noting that despite a shift to a social model of disability, social and work environments often fail to adapt to those with disabilities. Education and training for disabled young people have usually been at lower levels and the jobs on offer for them lower skilled and waged. But, more recently in England, disabled students have been recognized as a significant presence with more taking higher skilled and professional jobs after graduation. The chapter briefly compares the situation in England with that of Germany and Finland.

Development Studies in the World System of Global Knowledge Production: A Critical Empirical Analysis

In this article, I present the results of an analysis of the geopolitical diversity of 61,781 papers that have been published in 17 leading international journals in development studies, and the results of another analysis in which I analysed the career trajectories of 260 faculty members working at 10 highly valued development studies departments. Regarding geopolitical diversity, I found a systemic inequality in terms of both research output and education trajectories. I argue that these imbalances contradict the expressed goals and values of development studies as a discipline that aims to reduce geopolitical inequalities. Policy implications are also discussed, in which I propose to reconsider academic recruitment standards and to raise the visibility of different epistemologies of published research in development studies.

Bibliometric analysis of China’s contribution to the knowledge system of cerebrovascular intervention

Background Cerebrovascular disease has become the leading cause of death in China. The purpose of this article is to analyze China’s contribution to the interventional treatment of cerebrovascular diseases. Methods Bibliometric analysis was used for evaluating the quantity, quality, research hotspots, and cooperation network of publications regarding interventional treatment of cerebrovascular diseases from China. These articles were searched from the database of Web of Science Core Collection. The authors, publication years, citation times, regions, and source journals of retrieved articles were recorded. Network analysis and visualization were performed on Citespace5.6. Results From 1991 to 2019, a total of 5052 articles regarding cerebrovascular intervention were contributed by Chinese researchers. The number of publications from China grew fastest annually in the latest 5 years among countries. These publications were cited 61,216 times, with 12.12 average citations per item. The h-index was 82. Affiliated hospitals of Capital Medical University contributed most articles. Cerebral ischemia and intracranial aneurysm were the most popular keywords over the three decades. The timeline view of keywords indicated that cerebral ischemia always was a hot spot. Stent techniques were the main treatment tools and still had a strong developing trend. Neural regeneration and neuroprotection were the hot topics of basic researches related to cerebrovascular intervention. Conclusions The number of researches grows rapidly in China over the decades, but the quality still needs further improvement. The increasing contributions of Chinese researchers to the global knowledge system of cerebrovascular intervention are promising.

Global knowledge? Cooperation and conflict in the post-hegemonic era: Facing the pandemic crisis

In recent decades, we have witnessed the consolidation of the knowledge society, based on a process of globalization, which promotes the consolidation of the knowledge economy as an emerging paradigm, as well as promoting new dynamics of scientific cooperation, especially from the European Union to the rest of the world. Agreements, summits, and a network of science diplomacy have been set up reflecting the impact of knowledge on new development models. From this process, conceived as a catalyst for value chains based on knowledge intensity, it is possible to glimpse new power conflicts related to other recent conflicts for economic and political hegemony on a global scale. This study aims to analyze countries’ behavior vis-à-vis the global threat of the COVID 19 pandemic, based on the correlation between their ability to face it and their levels of knowledge-based development as a differentiating element in terms of vulnerability. The results show a process where scientific cooperation has given way to a field of geopolitical competition between the actors of the international system, affecting their levels of vulnerability to global threats.