Productive Research Research Articles

Knowledge mapping of B cell and atherosclerosis over the past 20 years: A bibliometric analysis

ABSTRACT Atherosclerosis (AS) is the main underlying cause of cardiovascular disease, and B cells are considered a key immune cell type to regulate AS. So far, there is no bibliometric study on B cell and AS. This study aims to comprehensively analyze the scientific output about B cell and AS, summarize the literature characteristics, explore research hotspots, and point out emerging trends. We searched the literature from 2003 to 2022 from the Web of Science Core Collection (WoSCC) database. CiteSpace, VOSviewer, and the R package “Bibliometrix” were used for literature analysis and visualization. A total of 1,062 articles and reviews were identified. The number of annual publications generally showed an upward trend. The United States and China were the most productive countries. Medical University of Vienna was the most productive research institution, and Binder Christoph J. was the most productive author, who was also from Medical University of Vienna. “Arteriosclerosis Thrombosis and Vascular Biology” was the most published journal and the most frequently cited journal. The most cited reference was written by Caligiuri G (2002) in “Journal of Clinical Investigation.” The most frequent keywords were “inflammation,” “macrophages,” “cardiovascular disease,” “T cells,” “apoptosis,” “immunity,” “cytokines,” “lymphocytes,” etc. The trend topics were mainly focused on “immune infiltration,” “immunoglobulins,” and “biomarkers.” The complex role of B cell subtypes and a variety of B cell mediators is the main research direction at present. In-depth analysis of B cell-specific targets can provide new ideas and methods for the prevention and treatment of AS.

Transformed through the CARTA experience: changes reported by CARTA fellows about their PhD journey

ABSTRACT Transformative learning occurs when a person, group, or larger social unit encounters ideas that are at odds with their prevailing perspective. This discrepant perspective can lead to an examination of previously held beliefs, values, and assumptions. The Consortium for Advanced Research Training in Africa (CARTA) has since 2011 been training and supporting faculty from different African universities, to become more reflective and productive researchers, research leaders, educators, and change agents who will drive institutional changes in their institutions. As part of a mid-term evaluation of CARTA, an open-ended question was posed to the CARTA fellows asking them to describe any changes they had experienced in their professional lives as a result of the CARTA Programme. The 135 responses were inductively coded and analysed using qualitative thematic analysis. These themes were subsequently mapped onto Hoggan’s typology of transformative learning outcomes. CARTA fellows reported shifts in their sense of self; worldviews; beliefs about the definition of knowledge, how it is constructed and evaluated; and changes in behaviour/practices and capacities. This paper argues that the changes described by the CARTA fellows reflect transformative learning that is embedded in CARTA’s Theory of Change. The reported transformation was enabled by a curriculum intentionally designed to facilitate critical reflection, further exploration, and questioning, both formally and informally during the fellows’ PhD journey with the support of CARTA facilitators. Documenting and disseminating these lessons provide a guide for future practice, and educators wishing to revitalise their PhD training may find it useful to review the CARTA PhD curriculum.

Application of tissue engineering techniques in tracheal repair: a bibliometric study

ABSTRACTTransplantation of tissue-engineered trachea is an effective treatment for long-segment tracheal injury. This technology avoids problems associated with a lack of donor resources and immune rejection, generating an artificial trachea with good biocompatibility. To our knowledge, a systematic summary of basic and clinical research on tissue-engineered trachea in the last 20 years has not been conducted. Here, we analyzed the development trends of tissue-engineered trachea research by bibliometric means and outlined the future perspectives in this field. The Web of Science portal was selected as the data source. CiteSpace, VOSviewer, and the Bibliometric Online Analysis Platform were used to analyze the number of publications, journals, countries, institutions, authors, and keywords from 475 screened studies. Between 2000 and 2023, the number of published studies on tissue-engineered trachea has been increasing. Biomaterials published the largest number of papers. The United States and China have made the largest contributions to this field. University College London published the highest number of studies, and the most productive researcher was an Italian scholar, Paolo Macchiarini. However, close collaborations between various researchers and institutions from different countries were generally lacking. Despite this, keyword analysis showed that manufacturing methods for tracheal stents, hydrogel materials, and 3D bioprinting technology are current popular research topics. Our bibliometric study will help scientists in this field gain an in-depth understanding of the current research progress and development trends to guide their future work, and researchers in related fields will benefit from the introduction to transplantation methods of tissue-engineered trachea.

Investigating the barriers and pathways to implementing satellite data into air quality monitoring, regulation and policy design in the United Kingdom

Satellite measurements relevant to air quality could help to inform policy and assist the monitoring and management of key air quality issues, both in the United Kingdom and internationally. This study investigates the barriers facing experts, across both scientific research and air quality management, in translating and incorporating satellite data into end user activities, and identifies pathways for the use of current and future satellite data by potential end users. Through an iterative Delphi-inspired two-round study, two groups of experts were issued parallel, near-identical surveys. These groups were Group A: current users of satellite data such as satellite product developers, researchers and air quality scientists, and Group B: potential end users of satellite data such as regulatory bodies, local authorities, government departments and independent air quality consultancies. This study confirmed that satellite data has had minimal penetration into Group B activities, and that a number of barriers currently prevent its adoption into regulation, namely: personnel-related issues such as lack of resources, technical skills and training, and technical limitations such as spatio-temporal resolution, uncertainties and data storage concerns. Despite this, there was a strong desire across both groups for collaboration and joint data exploration, but current progress has been minimal. Moving forward, we propose the creation of a network of experts, facilitated by a dedicated boundary organisation, designed to promote collaboration and knowledge exchange between these two groups, with the objective of transferring satellite data sets into end user work flows and to prepare end users to utilise future data sets.

The algorithmic origins of counting.

The study of how children learn numbers has yielded one of the most productive research programs in cognitive development, spanning empirical and computational methods, as well as nativist and empiricist philosophies. This paper provides a tutorial on how to think computationally about learning models in a domain like number, where learners take finite data and go far beyond what they directly observe or perceive. To illustrate, this paper then outlines a model which acquires a counting procedure using observations of sets and words, extending the proposal of Piantadosi etal. (2012). This new version of the model responds to several critiques of the original work and outlines an approach which is likely appropriate for acquiring further aspects of mathematics.

Metabolites Study of Experimental Plant Derived Alkaloids: A Review

Abstract: Alkaloids are waste products of plant metabolic processes, containing at least one nitrogen atom in the heterocyclic ring. They serve a wide variety of physiological functions in humans and animals. Metabolism plays a central role in regulating the toxicity of various phytochemicals. Available literature of biological sources and metabolism study of pyrrolidine, pyrrolizidine, pyridine, quinoline, isoquinoline, phenanthrene, phenethylamine, indole, terpenoid, and aporphine groups of experimental plantsderived alkaloids were collected from the Google Scholar, PubMed/Medline, Science Direct, Scopus, Wiley Online Library, and Web of Science search engines. The literature reveals that hepatic microsomal enzymes such as monooxygenase and putative NADPH-FMN-reductase, carboxyl esterase, CYP2B6, CYP3A4, and CYP2D6 are primarily involved in the metabolism of alkaloids. This review may encourage natural product researchers to further research and develop new plant-derived alkaloidal drugs.

Evaluation of sustainability in strawberry crops production under greenhouse and open-field systems in the Andes

ABSTRACTThe use of natural resources for food production and the identification of viable solutions to problems related to agricultural sustainability are topics of current debate. Our proposed objectives were to: i) determine the agronomic characteristics of strawberry crops in open-field and aeroponic greenhouse production systems, ii) assess the sustainability of production systems concerning social, environmental, economic, and governance dimensions, and iii) identify the variability of sustainability scores between production systems. Surveys were conducted on small Mestizo strawberry producers with open-field production systems and aeroponic production researchers in the Ecuadorian Andes. The SAFA-FAO methodology was applied, considering 111 indicators, 56 subtopics, and 20 topics, distributed among the four dimensions. A principal component analysis was performed using the Infostat programme. The sustainability score (0–5) of the aeroponic system was 1.09 times higher than that of the traditional system. The dimensions of economic resilience (2.23) and good governance (2.29) obtained low scores in the open-field system, and in the aeroponic production system the dimensions with high scores were environmental integrity (4.05) and social welfare (4.46). The identified sustainability dynamics contribute to a better multidimensional understanding for decision-makers and are a contribution toward meeting the goals of the UN’s 2030 Agenda.

Safety improvements for laboratory handling of energetic materials applying system-theoretic process analysis

Over the past few years, numerous accidents have occurred during dangerous chemical experiments. Although there is a considerable amount of literature on laboratory safety, there is still a lack of systematic research that examines how the various laboratory systems interact and potentially contribute to accidents. The objective of this work is to lessen accidents and incidents related to Handling Energetic Materials in Research Laboratories by utilizing STPA (System-Theoretic Process Analysis). This involves examining unsafe interactions between system components, detecting potential undesired events, and implementing measures to prevent or reduce their impact. Recent literature on laboratory safety, quality standards, and interviews with lab workers were used as data sources for the STPA elaboration. As a result, it was possible to identify Unsafe Control Actions, Loss Scenarios, Causal Factors, and Safety Constraints to be considered to avoid undesired events or to mitigate their consequences during the Energetic Material Handling in research centers. It was also possible to point out key measures that can reduce waste, enhance productivity, allocate resources more effectively, decrease accidents, and, most importantly, mitigate potential hazards in laboratory work. The SPTA analysis presented a way to improve laboratory safety management and ensure a safer and more productive research environment.

Kinds in the cognitive sciences: Reply to Weiskopf, Sullivan, and Robins

In this response to three critiques of my book, Cognitive ontology, I expand on some of its main themes. First, I demarcate the domain of cognition to support my claim that it is properly investigated from Marr's computational level. Then, I defend the claim that cognitive kinds ought to be individuated externalistically, by contrast with neural kinds, which are often individuated internalistically. This implies that the relationship between the cognitive sciences is one of delivering mutual constraints, which is a more productive research strategy than the search for “neural correlates” of cognitive constructs.

Emerging tropane alkaloids: Global development and potential health threats

Abstract Tropane alkaloids (TAs) are a kind of plant secondary metabolite that mainly originate from Solanaceae. They have potent anticholinergic activity, and are well-known anticholinergic drugs, but have also been reported as plant toxins. Many studies have been conducted on TAs, but no scientometric research has been performed. This study aimed to expound the knowledge network and development of the field of TAs and predict the emerging development topics based on bibliometrics. In particular, this research combined VOSviewer and CiteSpace for visualization and covered 1,298 related scientific publications (1953–2022). The research on TAs is rapidly developing, with the participation of 86 countries, 1,129 research institutions, and 4,087 researchers. China, the University of Geneva, and P. Christen are the most productive country, institution, and researcher, respectively. Currently, the main research topics on TAs include biosynthesis, in vitro synthesis, chemical synthesis, and determination methods. Since 2018, the monitoring of TAs in food related to human health has shown citation burst characteristics, which is considered an emerging development trend in the future. The findings of this study will enable researchers to quickly tap into the knowledge background/structure of TAs from massive data to provide a reference for further research.

Unveiling Various Facades of Tinospora cordifolia Stem in Food: Medicinal and Nutraceutical Aspects.

Natural products with curative properties are gaining immense popularity in scientific and food research, possessing no side effects in contrast to other drugs. Guduchi, or Tinospora cordifolia, belongs to the menispermaceae family of universal drugs used to treat various diseases in traditional Indian literature. It has received attention in recent decades because of its utilization in folklore medicine for treating several disorders. Lately, the findings of active phytoconstituents present in herbal plants and their pharmacological function in disease treatment and control have stimulated interest in plants around the world. Guduchi is ethnobotanically used for jaundice, diabetes, urinary problems, stomachaches, prolonged diarrhea, skin ailments, and dysentery. The treatment with Guduchi extracts was accredited to phytochemical constituents, which include glycosides, alkaloids, steroids, and diterpenoid lactones. This review places emphasis on providing in-depth information on the budding applications of herbal medicine in the advancement of functional foods and nutraceuticals to natural product researchers.

The Success of a Food Tourism Destination: A Systematic Review

Purpose: This study aimed to identify the critical success factors (CSFs) of food tourism destinations and analyse their importance for the development of destination tourism. Design/methodology/approach: We conducted a systematic literature review (SLR) to identify prevalent CSFs in food tourism destinations. Out of 210 articles related to food tourism destinations, 41 underwent a rigorous selection process for analysis. The chosen articles were examined comprehensively to provide a replicable overview of the subject. Findings: The five most popular factors were: marketing, food quality, food product, cultural identity and visitor experience. It was also found that more studies were conducted on the supply side, while fewer studies were conducted on the demand and supply side. There was a significant difference between the CSFs of supply and demand side statistics separately. Research Practical & Social implications: This comprehensive review of CSFs in food tourism destinations offers a valuable contribution to the field. It encompasses insights into publication patterns, temporal distribution, research methodologies, and the identification of prevalent success factors. This knowledge helps researchers position their work, identify gaps, and align their research for maximum impact. Ultimately, it fosters efficient and productive future research, facilitating meaningful advancements in food tourism. Originality/value: The study clarifies what are the most popular venues for successful food tourism destinations for publishing research. How research on CSFs in food tourism destinations is distributed over time and what the geographical distribution of research looks like. And what are the most popular CSFs for food tourism destinations.

Supporting and Uplifting New and Diverse Scientists in HIV Research (San Diego SUN): A Research Education and Training Program to Promote the Success of Black, Indigenous, and People of Color Predoctoral and Postdoctoral Fellows.

We implemented a mentored research education and training program for underrepresented minorities (URMs) and Black, Indigenous, and People of Color (BIPOC) predoctoral and postdoctoral fellows called San Diego SUN (SD SUN): Supporting and Uplifting New and Diverse Scientists in HIV Research. The SD SUN program aimed to prepare fellows for an academic career trajectory in HIV science focused on ameliorating HIV-related disparities in communities of color. The program leveraged a strong interinstitutional collaboration between San Diego State University and the University of California, San Diego, that share commitments to diversity, equity, and inclusion and an established history of training programs for URM/BIPOC investigators. During a 9-month training period, launched in February 2022, fellows supported by a mentoring team completed ten 3-hour training sessions (core curriculum) and a mentored research project. The curriculum included seminars on building skills for a productive academic research career and reflective discussions around issues uniquely faced by URM/BIPOC investigators. Standardized measures developed for Center for AIDS Research Diversity, Equity, and Inclusion Pipeline Initiative (eg, around benefits gained) were used to evaluate the program. Six fellows participated in the SD SUN program. The results demonstrated a successful first year. Fellows were highly engaged and reported positive experiences, satisfaction with their mentor(s), various benefits gained from the program, and gains in numerous skillsets. Challenges were faced during implementation (eg, teaching grant writing to fellows at different skill levels). Time constraints were reported by some faculty mentors with limited bandwidth. We describe insights and solutions to the major challenges to sustaining the successful SD SUN program.

Effect of COVID-19 on autism spectrum disorders: A bibliometric analysis based on original articles.

The objective of this bibliometric inquiry was to scrutinize domains that delve into the repercussions of the 2019 coronavirus disease (COVID-19) pandemic on individuals afflicted with autism spectrum disorder (ASD), worldwide scholarly findings of interrelated research, and forthcoming trajectories. To conduct a literature analysis, use the web of science core collection database, search for ASD and COVID-19-related literature published Utilize CiteSpace and VosViewer to visually analyze documents and create networks of authors, organizations. The CiteSpace and VosViewer to visually analyze documents and create networks of authors, organizations, countries, and keywords. This study collected 771 papers and shows an increasing trend in publications. The United States had the most relevant literature (281), followed by the United Kingdom (115) and Italy (76). The United States had the most relevant literature (281), followed by the United Kingdom (115) and Italy (76). The University of London had the most papers (53, 6.87%), and Happe_Francesca was the most productive researcher (6). J AUTISM DEV DISORD was the main journal for research on the impact of COVID-19 on ASD, with 22 related articles. Keyword co-occurrence analysis has revealed that "parenting stress," "enhancing adherence," "acute stress disorder," "COVID-19 Italian lockdown," "neurodevelopmental disorder," and "occupational therapy" have garnered significant attention recently. Notably, the burst keywords suggest that "interventions," "qualitative research," "Disabilities Monitoring Network," "neurodevelopmental disabilities," "perceived stress," and "barriers" are potential areas of investigation for future research. This bibliometric analysis delineates the fundamental structure for assessing the impact of COVID-19 on ASD by scrutinizing crucial indicators such as Our analysis reveals that COVID-19 impact on autism has garnered the interest of an Future research could explore the stress, anxiety, and strategies for individuals with ASD and their The use of telemedicine can be studied in depth, as a new idea for ASD diagnosis and intervention training, it is worthwhile. The use of telemedicine can be studied in depth, as a new idea for ASD diagnosis and intervention training, it is worth exploring, such as Disabilities Monitoring Network, etc.

A bibliometric analysis of published literature on membrane photobioreactors for wastewater treatment from 2000 to 2022.

With the focus on limiting greenhouse gas emissions, microalgae-based technology is a promising approach for wastewater treatment, combining cost-effective operation, nutrient recovery, and assimilation of CO2. In addition, membrane technology supports process intensification and wastewater reclamation. Based on a bibliometric analysis, this paper evaluated the literature on membrane photobioreactors to highlight promising areas for future research. Specifically, efforts should be made on advancing knowledge of interactions between algae and bacteria, analysing different strategies for membrane fouling control and determining the conditions for the most cost-effective operation. The Scopus® database was used to select documents from 2000 to 2022. A set of 126 documents were found. China is the country with the highest number of publications, whereas the most productive researchers belong to the Universitat Politècnica de València (Spain). The analysis of 50 selected articles provides a summary of the main parameters investigated, that focus in increasing the biomass productivity and nutrient removal. In addition, microalgal-bacterial membrane photobioreactor seems to have the greatest commercialisation potential. S-curve fitting confirms that this technology is still in its growth stage.

Mobile advertising research: a comprehensive domain mapping analysis of 22 years (2001 – 2022)

Purpose This paper aims to understand the scholarly contributions to mobile advertising by analyzing the publishing trend from 2001 to 2022 from the documents indexed in the Scopus database. Design/methodology/approach A total of 348 documents were selected for analysis published between 2001 and 2022. The garnered data was examined using a bibliometric domain mapping analysis technique using computer-aided software R and VOSviewer and manually exploring the articles. Findings The results of this study discover the most prolific authors in the mobile advertising domain and other seminal works carried out by productive researchers in the field of mobile advertising. The journals in which most instrumental research studies have been published are also identified. Moreover, the co-citation, bibliometric coupling and co-occurrence analysis of literature are also carried out to draw themes concerning mobile advertising research that have been identified and categorized. Research limitations/implications This research analyzed a singular, exclusive database, “Scopus,” which limited the sectoral scope of publications. Since the present research uses bibliometric analysis, these studies cannot conduct sentiment analysis of the chosen studies. Practical implications Marketing professionals looking after technological advancements may use this study to understand the broad scope of mobile advertising applicability across diverse domains and discuss the trade-offs that may address significant bottlenecks in mobile advertising applications. Originality/value To the best of the authors’ knowledge, this paper is one of the latest attempts in recent times to understand the research work in mobile advertising using a bibliometric domain analysis approach.

An architecture for the dynamic adaptation of an intelligent multi-tutoring system

The articulation between machine tutoring and human tutoring remains a productive research within in the context of Intelligent Tutoring Systems (ITS), particularly in the context of e-learning where the dropout rate is high. We explore an innovative approach, the automation of tutoring as it is done in the classroom to respond to the difficulties of the learner. We propose a generic Intelligent Multi-Tutoring System (IMTS) architecture composed of two modules COMES and MAT. The Communication Entry Service (COMES) module manages communications between the IMTS and a Learning Management System (LMS). The module Multi-Agent Tutoring (MAT) is the multi-agent system developed with JADE, which allows the dynamic adaptation of tutoring (Machine, Peer, Teacher) according to the profile of the learner. We offer a configurable system to customize tutoring to the individual needs of each learner. It can be grafted onto any learning platform, making it multidisciplinary and easy to integrate into existing learning environments. The teacher will be able to devote more time to learners which need greater his intervention.The peer will develop human and relational qualities linked to their know-how, transversal skills sought by recruiters. To validate this architecture, we provide an application and results that integrate the elements of the described model. The results of the experiment prove the feasibility and reliability of our approach.

Non-canonical two-step biosynthesis of anti-oomycete indole alkaloids in Kickxellales

BackgroundFungi are prolific producers of bioactive small molecules of pharmaceutical or agricultural interest. The secondary metabolism of higher fungi (Dikarya) has been well-investigated which led to > 39,000 described compounds. However, natural product researchers scarcely drew attention to early-diverging fungi (Mucoro- and Zoopagomycota) as they are considered to rarely produce secondary metabolites. Indeed, only 15 compounds have as yet been isolated from the entire phylum of the Zoopagomycota.ResultsHere, we showcase eight species of the order Kickxellales (phylum Zoopagomycota) as potent producers of the indole-3-acetic acid (IAA)-derived compounds lindolins A and B. The compounds are produced both under laboratory conditions and in the natural soil habitat suggesting a specialized ecological function. Indeed, lindolin A is a selective agent against plant-pathogenic oomycetes such as Phytophthora sp. Lindolin biosynthesis was reconstituted in vitro and relies on the activity of two enzymes of dissimilar evolutionary origin: Whilst the IAA–CoA ligase LinA has evolved from fungal 4-coumaryl-CoA synthetases, the subsequently acting IAA-CoA:anthranilate N-indole-3-acetyltransferase LinB is a unique enzyme across all kingdoms of life.ConclusionsThis is the first report on bioactive secondary metabolites in the subphylum Kickxellomycotina and the first evidence for a non-clustered, two-step biosynthetic route of secondary metabolites in early-diverging fungi. Thus, the generally accepted “gene cluster hypothesis” for natural products needs to be reconsidered for early diverging fungi.

A bibliometric evaluation of the top 100 cited articles on ocrelizumab.

To analyze the 100 most cited articles (T100) on ocrelizumab using bibliometric methods to determine the current situation and identify research hotspots. Articles with "ocrelizumab" in their title were searched for in the Web of Science (WoS) database, identifying 900 articles. After the exclusion criteria were applied, 183 original articles and reviews were obtained. The T100 were selected from among these articles. Data on these articles (author, source, institution, country, scientific category, citation number, and citation density) were analyzed. The number of articles showed a fluctuating upward trend from 2006 to 2022. The total number of citations for the T100 ranged from two to 923. The average number of citations per article was 45.11. The most articles were published in 2021 (n=31). The "Ocrelizumab versus Placebo in Primary Progressive Multiple Sclerosis" study (T1) was the most cited article among the T100 and had the highest annual average number of citations. T1, T2, and T3 were clinical trials on treating multiple sclerosis. The USA was the most productive and influential research country, with 44 articles. Multiple Sclerosis and Related Disorders was the most productive journal (n=22). Clinical neurology ranked first among the WoS categories (n=70). Hauser Stephen and Kappos Ludwig were the most influential authors, with 10 articles each. Biotechnology company Roche was at the top of the publication list, with 36 articles. This study's results can give researchers an idea about current developments and research collaborations on ocrelizumab. These data can help researchers easily obtain publications that have become classics. We conclude that the clinical and academic communities have shown a growing interest in ocrelizumab for treating primary progressive multiple sclerosis in recent years.

Andrew David McLachlan. 25 January 1935—8 July 2022

Andrew McLachlan enjoyed a wide-ranging career, starting as a theoretical chemist and ending as a molecular biologist. After reading physics as an undergraduate at Trinity College, Cambridge, he joined the Theoretical Chemistry Section of the Chemistry Department to study for a PhD. His work on electron spin resonance then led to his election as a research fellow at Trinity. Following postdoctoral work in the United States, he returned to Cambridge as a college lecturer in physics at Trinity and was eventually appointed a university lecturer in chemistry. Despite a productive research programme in various aspects of theoretical chemistry, he decided that a move into the newly developing subject of molecular biology would provide an exciting opportunity. Accordingly, in 1967 he accepted an offer to join the Medical Research Council Laboratory of Molecular Biology. The initial plan was to work on the mechanism of oxygen uptake by haemoglobin, but he quickly became interested in wider problems of protein structure. In particular, he developed methods for aligning the sequences of different proteins and for detecting repeated sequences and motifs, leading to an interest in the evolution of protein sequences. In collaboration with others, he applied his methods to a wide range of proteins, providing important understanding of their structures and relationships.