Producción Científica

 

 

In recent years, smart fisheries, as an emerging model for fishery development, have become a research hotspot in the fishery and aquaculture industries of many countries. Smart fisheries can be thought of as a system that combines techniques for raising, catching, or selling aquatic products to improve production and sustainable development. Smart fisheries are crucial to improving fishery and aquaculture management. In this study, a comprehensive analysis was conducted using bibliometric analysis, the results of which are presented through visual mapping and data charts. This study collected data from the China National Knowledge Infrastructure (CNKI) database and compared it with the WoS database. A total of 949 articles were retrieved on topics related to smart fisheries, including 579 articles from WoS and 370 articles from CNKI. The results present the visualization and analysis of annual publications, author collaboration maps, research collaboration institutions, keywords, etc. The development of smart fisheries in China is obviously different from that in foreign countries. China attaches great importance to technology and production, while foreign countries focus on environmental issues. Therefore, this study helps us to understand the current research status, research hotspots, and future development directions of smart fisheries, providing certain references for future management.

 

 

The integration of artificial intelligence (AI) into medical practice has become a critical focus in contemporary medical research. This bibliometric analysis examined the scope of AI utilization across the healthcare spectrum by analyzing a significant body of publications from the Scopus and PubMed databases. After removing duplicates and reviews, a total of 2061 articles were assessed using VOSviewer software (version 1.6.20). The results were organized into two main sections: influential factors and thematic directions of AI integration in healthcare. The first section highlights the most productive countries, authors, and institutions in terms of publications. The second section explores the keywords used in the relevant literature, and identifies the main thematic areas where AI has a significant impact in medical sector. The findings of this study aimed not only to assess AI’s current contributions to medicine in general but also to highlight specific technological advancements across medical departments, offering a comprehensive overview.

 

 

Landslide is a typical geological disaster distributed in most countries worldwide. Due to long-term natural weathering and human engineering disturbances, the instability of landslides is prone to occur. Once monitoring and disposal methods are implemented inappropriately, they can lead to landslide hazards, seriously threatening the safety of people’s lives and property. For a long time, extensive research on landslide monitoring has been conducted from various countries, providing crucial technical support for reducing the incidence and severity of landslide hazards. However, considering the complex geological conditions of actual landslides and the direct impact of internal and external factors such as rainfall, storms, and earthquakes, the early warning accuracy of landslide hazards is still relatively low. Therefore, based on advanced research achievements, it is significant to carry out research on the current status and development trends of landslide monitoring technology. Based on the Web of Science core database, this study quantitatively analyzes the advanced research achievements in global landslide monitoring in the past decade using bibliometric analysis. A systematic analysis of landslide monitoring technology development is conducted according to each study’s publication time, keywords, and countries. On this basis, a multi-dimensional monitoring system for landslides was proposed, which utilizes the complementary advantages of multi-dimensional monitoring technology to achieve all-round, high-precision, and real-time monitoring of landslides. Finally, taking the Xinpu landslide in the Three Gorges Region of China as an example, a multi-source and multi-field-monitoring experiment was conducted. The application of landslide multi-field-monitoring technology provides an essential reference for monitoring, early warning, as well as the scientific prevention and control of landslide hazard.

 

 

Background: Breast cancer (BC) remains the most commonly malignancy among women worldwide. Although early-stage BC typically presents with curative possibilities, advanced-stage disease, especially with metastasis, is significantly limited in terms of effective therapeutic interventions, thereby establishing it as the second leading cause of cancer-related deaths in women. Antibody–Drug Conjugates (ADCs) establish a groundbreaking class of anti-neoplastic agents characterized by high specificity and targeting precision. These agents have been significant in reshaping the therapeutic approach to breast cancer, especially those subtypes with overexpression of the Human Epidermal Growth Factor Receptor 2 (HER2). Comprising monoclonal antibodies, cytotoxic payloads, and conjugative linkers, ADCs function by specifically targeting antigens on cancer cells, thereby facilitating the intracellular delivery of the toxic payload. The present investigation endeavors to synthesize existing primary research outcomes through rigorous bibliometric and data analytical approaches, thereby elucidating the current research landscape, delineating research foci, and identifying potential avenues for future innovation. Methods: For bibliometric analysis, a comprehensive data set comprising 2181 entries related to ADCs in breast cancer was retrieved from the Web of Science Core Collection (WoSCC) spanning the years 1999 to 2023. This data was further filtered from the Science Citation Index Expanded (SCI-Expanded). Analysis software tools such as CiteSpace and VOSviewer were employed for multifaceted analyses such as trends of publications, contributions of countries, and burst analytics. In the dimension of clinical trials, we interrogated databases including ClinicalTrials.gov (https://www.clinicaltrials.gov) and the WHO International Clinical Trials Registry Platform (ICTRP) (https://trialsearch.who.int). A total of 239 clinical trials were initially sourced, among which, 175 were from ClinicalTrials.gov and 64 from ICTRP. After repetitive and correlation-based screening, 119 trials specifically addressing ADC therapeutic strategies in breast cancer were included. Analytical algorithms were executed using Microsoft-based software to evaluate treatment paradigms, emergent research themes, and progress. Results: Our investigations signify a growing trend of research on ADCs, with consistent advancements in scientific achievements. The analysis revealed that variables such as economic stratification of nations, healthcare investment paradigms, and disease incidence rates serve as significant determinants in shaping research output. Geographically, the United States emerged as the predominant contributor to the research corpus (36.56%), closely followed by China (21.33%). The underpinning of research accomplishments was found to be significantly bolstered by advancements in molecular biology, immunology, and genetic research. Moreover, the advent of nuclear magnetic resonance diagnostic modalities has contributed saliently to the diagnostic and therapeutic management of breast cancer. Conclusion: Our study provides a comprehensive overview of the ADC research landscape through rigorous bibliometric and clinical trial evaluations. At present, the ADC arena has witnessed the successful development and FDA approval of 14 distinct agents, substantially improving the clinical outcomes for a broad spectrum of oncological patients. Future research imperatives may include the exploration of ADCs targeting mutated oncoproteins, dual-specificity ADCs, combination payload strategies, peptide-drug conjugates (PDCs), and non-internalizing ADC modalities. With sustained academic and clinical focus, the ADC domain is poised for transformative advancements in targeted therapeutics across a variety of malignancies.

 

 

Currently, reverse logistics and sustainability are recognized as strategies to enhance the performance of supply chain processes and customer service and to reduce environmental impact, which is reflected in the planning of and reduction in costs throughout the production process. This article developed a bibliometric review that considered the growth of reverse logistics and sustainability from the perspective of different organizations, authors, thematic subareas, countries, journals, keywords, and volume of citations and publications. For this, a methodology was developed that consisted of reviewing previous research, obtaining the Scopus data set, applying the analysis with Microsoft Excel 365 and VOSviewer version 1.6.18 to determine the applications and trends of future research, and identifying the global impact in the last six years on organizations. The search equation with the application of filters resulted in 22,625 articles. The Sustainability Switzerland journal provided the most significant number of contributions in terms of publications, and the Journal of Cleaner Production stood out for its number of citations. Tseng, M.L. and Govindan, K. were the most active authors. China, the United States, and the United Kingdom were the most notable countries. Chinese Academy of Sciences and the Ministry of Education of the People’s Republic of China were the most influential institutions. The main findings were the recognition of the potential research lines and industry 4.0 technologies applied in supply chains and the development of sustainable processes with the fusion of reverse logistics, sustainability, and circular economy.

 

 

Climate change presents one of the most significant challenges facing the world in the 21st century. In 2019, the UK became the first major economy to pass laws to end its contribution to the world’s greenhouse gas emissions; parliament passed legislation requiring the UK government to achieve its carbon neutrality commitment by 2050. This will require all industries, including the housing sector, which currently contributes around 14% of the UK’s greenhouse gas emissions, to reduce their carbon emission contribution. One of the ways in which the housing sector plans to accomplish this is through delivering new zero carbon ready homes by 2050, at the latest. This study makes an innovative contribution to advancing the field of carbon neutral construction through its identification of the barriers to the UK in regards to their ability to deliver zero carbon homes (ZCH) and the provision of potential recommendations to overcome these barriers. To achieve this, a mixed-review method is used, combining a qualitative systematic analysis and a quantitative bibliometric approach. Several key barriers were identified and assigned to following key themes: legislative, socio-cultural, economic, financial, skills and knowledge, technical, industrial, environmental, and procurement factors. Legislative obstacles were found to be a primary barrier due to a lack of certainty, clarity, and clear definitions, as well as the removal and excess of government policies. Significantly, the findings reveal the under-researched impact of recent disruptive events, such as the COVID-19 pandemic, Brexit, and economic factors in the UK, opening up novel avenues for exploring their implications. Overall, this study advances industry understanding and highlights innovative directions necessary to propel the sector towards realizing the UK’s legally-binding 2050 net zero target through the development of zero carbon ready homes.

 

 

Analyzing scientific mapping literature activity on digital comics, animation, and digital cartoons is essential for future research and development. The objective of the current study was to assess research activity in digital comics, animation, and digital cartoons. VOSviewer and Scopus were used to perform bibliometric analysis. The research was conducted from 2013 to 2023 and found 288 documents. In 2022, most research reports on digital comics, animation, and digital cartoons were published. China is the most productive region in terms of articles, with English being the most widely used language. The most common subject area is computer science, and the most common source is the journal Lecture Notes in Computer Science. The most productive author is Dong Hao Li. Zhejiang University is the most productive institution. Future research should concentrate on a single discipline and work with Google Scholar and Web of Science data for in-depth analysis.

 

 

Introduction: Bipolar disorder (BD) is a chronic psychiatric disorder that combines hypomania or mania and depression. The study aims to investigate the research areas associated with cognitive function in bipolar disorder and identify current research hotspots and frontier areas in this field. Methodology: Publications related to cognitive function in BD from 2012 to 2022 were searched on the Web of Science Core Collection (WoSCC) database. VOSviewer, CiteSpace, and Scimago Graphica were used to conduct this bibliometric analysis. Results: A total of 989 articles on cognitive function in BD were included in this review. These articles were mainly from the United States, China, Canada, Spain and the United Kingdom. Our results showed that the journal “Journal of Affective Disorders” published the most articles. Apart from “Biploar disorder” and “cognitive function”, the terms “Schizophrenia”, “Meta analysis”, “Rating scale” were also the most frequently used keywords. The research on cognitive function in bipolar disorder primarily focused on the following aspects: subgroup, individual, validation and pathophysiology. Conclusions: The current concerns and hotspots in the filed are: “neurocognitive impairment”, “subgroup”, “1st degree relative”, “mania”, “individual” and “validation”. Future research is likely to focus on the following four themes: “Studies of the bipolar disorder and cognitive subgroups”, “intra-individual variability”, “Validation of cognitive function tool” and “Combined with pathology or other fields”.

 

 

Digital equity is imperative for realizing the Sustainable Development Goals, particularly SDG9 and SDG10. Recent empirical studies indicate that Design for Digital Equity (DDE) is an effective strategy for achieving digital equity. However, before this review, the overall academic landscape of DDE remained obscure, marked by substantial knowledge gaps. This review employs a rigorous bibliometric methodology to analyze 1705 DDE-related publications, aiming to delineate DDE’s research progress and intellectual structure and identify research opportunities. The retrieval strategy was formulated based on the PICo framework, with the process adhering to the PRISMA systematic review framework to ensure transparency and replicability of the research method. CiteSpace was utilized to visually present the analysis results, including co-occurrences of countries, institutions, authors, keywords, emerging trends, clustering, timeline analyses, and dual-map overlays of publications. The results reveal eight significant DDE clusters closely related to user-centered design, assistive technology, digital health, mobile devices, evidence-based practices, and independent living. A comprehensive intellectual structure of DDE was constructed based on the literature and research findings. The current research interest in DDE lies in evidence-based co-design practices, design issues in digital mental health, acceptance and humanization of digital technologies, digital design for visually impaired students, and intergenerational relationships. Future research opportunities are identified in DDE’s emotional, cultural, and fashion aspects; acceptance of multimodal, tangible, and natural interaction technologies; needs and preferences of marginalized groups in developing countries and among minority populations; and broader interdisciplinary research. This study unveils the multi-dimensional and inclusive nature of methodological, technological, and user issues in DDE research. These insights offer valuable guidance for policy-making, educational strategies, and the development of inclusive digital technologies, charting a clear direction for future research.

 

 

Purpose: This bibliometric analysis of the top 100 cited articles on extended reality (XR) in neurosurgery aimed to reveal trends in this research field. Gender differences in authorship and global distribution of the most-cited articles were also addressed. Methods: A Web of Science electronic database search was conducted. The top 100 most-cited articles related to the scope of this review were retrieved and analyzed for trends in publications, journal characteristics, authorship, global distribution, study design, and focus areas. After a brief description of the top 100 publications, a comparative analysis between spinal and cranial publications was performed. Results: From 2005, there was a significant increase in spinal neurosurgery publications with a focus on pedicle screw placement. Most articles were original research studies, with an emphasis on augmented reality (AR). In cranial neurosurgery, there was no notable increase in publications. There was an increase in studies assessing both AR and virtual reality (VR) research, with a notable emphasis on VR compared to AR. Education, surgical skills assessment, and surgical planning were more common themes in cranial studies compared to spinal studies. Female authorship was notably low in both groups, with no significant increase over time. The USA and Canada contributed most of the publications in the research field. Conclusions: Research regarding the use of XR in neurosurgery increased significantly from 2005. Cranial research focused on VR and resident education while spinal research focused on AR and neuronavigation. Female authorship was underrepresented. North America provides most of the high-impact research in this area.