Artículos

Steel structures face significant challenges in long-term maintenance because of complex and unstable service environments. Fortunately, the digital twin technique offers an excellent solution by creating a digital model and continuously updating it with real-time monitoring data. To determine the development and application status of the digital twin technique in steel structures, a review drawn on the latest literature from the past fifteen years was conducted. The bibliometric analysis and innovation discussion of these studies primarily focused on publication details, keyword information, and application specifics. Additionally, significant attention was given to the evolution of digital twin definitions, modeling methodologies, and application fields. The analysis results indicate that the digital twin technique in steel structures has made significant advancements in both its definition and modeling methodologies, thanks to worldwide contributions. Meanwhile, this technique also demonstrates advantages in the applications of material deformation, structural monitoring, infrastructure maintenance, and fatigue assessment. Based on this review of the existing literature, the future development of the digital twin technique in steel structures should focus on model innovation, application expansion, and performance optimization.

Solid-state batteries (SSBs) hold the potential to revolutionize energy storage systems by offering enhanced safety, higher energy density, and longer life cycles compared with conventional lithium-ion batteries. However, the widespread adoption of SSBs faces significant challenges, including low charge mobility, high internal resistance, mechanical degradation, and the use of unsustainable materials. These technical and manufacturing hurdles have hindered the large-scale commercialization of SSBs, which are crucial for applications such as electric vehicles, portable electronics, and renewable energy storage. This study systematically reviews the global SSB patent landscape using a cross-sectional bibliometric and thematic analysis to identify innovations addressing key technical challenges. The study classifies innovations into key problem and solution areas by meticulously examining 244 patents across multiple dimensions, including year, geographic distribution, inventor engagement, award latency, and technological focus. The analysis reveals significant advancements in electrolyte materials, electrode designs, and manufacturability. This research contributes a comprehensive analysis of the technological landscape, offering valuable insights into ongoing advancements and providing a roadmap for future research and development. This work will benefit researchers, industry professionals, and policymakers by highlighting the most promising areas for innovation, thereby accelerating the commercialization of SSBs, and supporting the transition toward more sustainable and efficient energy storage solutions.

Importance: This bibliometric analysis of the application of metaheuristics in transportation and logistics examines over two decades of research (1999–present), aiming to uncover global trends, anticipate future directions, and highlight how interconnections between key factors facilitate the development of practical and sustainable solutions for the industry. Methodology: A quantitative approach is employed to analyze the evolution of the discipline by reviewing an extensive database of relevant research and key authors and utilizing advanced data processing tools. This analysis enables the assessment of advances in the optimization of metaheuristic models, with an impact on time and cost savings from an economically sustainable perspective. Results: The use of metaheuristics optimizes the efficiency and competitiveness of the transportation sector while promoting a positive economic impact on companies. The main areas of application are optimization and metaheuristic methods, cost and operational efficiency, planning and scheduling, logistics and transportation, supply chain and logistics networks, energy and sustainability, and demand and users. Additionally, genetic algorithms stand out as particularly important. Conclusions: This research provides a comprehensive and detailed view of the impact of metaheuristics on the transportation sector, highlighting their current and future trends (such as artificial intelligence) and their economic relevance.

The industrial application of high hydrostatic pressure (HHP) can be traced back to the late 19th century in the fields of mechanical and chemical engineering. Its growth as a food preservation technique has developed and massified in certain countries in the last 30 years. However, there is no global overview of the research conducted on this topic. The aim of this study was to recognize global trends in the scientific population on the subject of HHP over time at the main levels of analysis: sources, authors, and publications. This article provides a summary of research related to the use of HHP through a bibliometric analysis using information obtained from the Web of Science (WoS) database between the years 1975–2023, using the terms “pascalization”,“high-pressure processing”, and “high hydrostatic pressure” as input keywords. The results are shown in tables, graphs, and relationship diagrams. The countries most influential and productive in high hydrostatic pressure are the People’s R China, the USA, and Spain, with 1578, 1340, and 1003 articles, respectively. Conversely, the authors with the highest metrics are Saraiva, J. (Universidade Aveiro-Portugal), Hendrickx, M. (Katholieke Universiteit Leuven-Belgium), and Wang, T. (China Agricultural University-China). The most productive journals are Innovative Food Science & Emerging Technologies, Food Chemistry, and LWT-Food Science and Technology, all belonging to Elsevier, with 457, 281, and 264 documents, respectively. In relation to the connection between the documents under study and the United Nations Sustainable Development Goals (SDGs), most documents in the period 1975–2023 are linked to SDG 03 (good health and well-being), followed by SDG 02 (zero hunger), and SDG 07 (affordable and clean energy). Finally, the information presented in this work may give valuable key insights for those interested in the development of this interesting topic in non-thermal food preservation. Additionally, it serves as a strategic resource for stakeholders, such as food industry leaders, policymakers, and research funding bodies, by providing a clear understanding of the current state of knowledge and innovation trends. This enables informed decision-making regarding research priorities, investment opportunities, and the development of regulatory frameworks to support the adoption and advancement of non-thermal preservation technologies, ultimately contributing to safer and more sustainable food systems.

With material advancement, phase change materials (PCMs) of high latent heat of phase transition can revolutionize the thermal energy storage market. However, limitations such as volume expansion leading to leakage and low thermal conductivity need to be addressed. These two limitations can be answered by holding the core phase change material in a porous conductive framework, with sites for the PCM to reside by capillarity. This work presents a comprehensive literature review along with bibliometric analysis on form stable composites. The review is conducted to show the evolution of form stable phase materials and their applications. The article has been divided into sections based on the supporting matrix used. In this paper, authors have included sections based on the chemical nature of the supporting matrix. The properties of the composite have been thoroughly compared to those of the parent PCM to provide a clearer and more analytical understanding. A short section is also dedicated to the latest and futuristic applications of the form stable PCM composites in this review article.

Nanomaterials are currently one of the most popular emerging materials used in different applications such as drug delivery, water treatment, cancer treatment, electronic, food preservations, and production of pesticide. This is due to their interesting features including size-dependent properties, lightweight, biocompatibility, amphiphilicity and biodegradability. They offer wide possibilities for modification and are used in multiple functions with enormous possibilities. Some of them are medically suitable which has opened new opportunities for medical improvement especially for human health. These characteristics also make nanomaterials one of the pioneers in green materials for various needs, especially in environmental engineering and energy sectors. In this review, several synthesis approaches for nanoparticles mainly physical, chemical, and biological have been discussed extensively. Furthermore, bibliometric analysis on the synthesis of nanoparticles was evaluated. About 117,162 publications were considered, of which 92% are journal publications. RSC Advances is the most published outlet on the synthesis of nanoparticles and China has the highest number of researchers engaged in the synthesis of nanoparticles. It was noted in the evaluation of synthesis approach that biological approach is the savest method but with a low yield, while the chemical approach offers a high yield with some level of hazardous effect. Also, the bibliometric analysis revealed that the field of nanotechnology is a trending and hot ground for research.

Gum Arabic (GA) is a natural ingredient used in food, pharmaceutical, and cosmetic industries. Numerous studies have been conducted on the physicochemical properties and applications of GA. This study aimed to map knowledge and perform a bibliometric analysis of GA research (GAR) for over a century ago. A search was carried out in the Scopus database using relevant terms and Boolean operators (Gum Arabic OR Acacia gum, OR gum sudani), and data-driven documents in English were extracted. The extracted data included citations, bibliographical and geographical information, abstracts, and keywords. The CVS and BibTex data files were analyzed using VOSviewer and Bibliometrix platforms, respectively. The annual increase in GAR is incremental, consisting of 5313 documents over 108 years and produced by 27 scientific disciplines. The three most productive countries are India, China, and the United States. The rate of international co-authorship was 22.07%, with China being the most collaborative country. Food Hydrocolloids is the most prestigious source. Phillips, G.O., is the most prolific, cited, and co-cited author. Four clusters were detected based on the co-citation analysis of the authors. The most frequent terms in the GAR were “nanoparticles,” “carbon nanotubes,” “stability,” “rats,” “microencapsulation,” and ”lipase.” “Carbon nanotubes” and “microencapsulation” are evolving subjects in GAR. 2000 and 2010 are the turning points in GAR’s thematic evolution. “Ultrasound,” “Pickering emulsion,” “sensory evaluation,” “bioactive compounds,” “cytotoxicity,” and “green synthesis” are the trending topics. Our findings reveal the most common scientific research on GAR, with the physiochemical qualities of GA as a dietary and pharmaceutical constituent being the most common. The marketing, production, tapping, and processing of GA requires further investigation.

Renewable hydrogen is widely considered a key technology to achieve net zero emissions in industrial production processes. This paper presents a structured bibliometric analysis, examining current and future applications of hydrogen as feedstock and fuel across industries, quantifying demand for different industrial processes, and identifying greenhouse gas emissions reduction potential against the context of current fossil-based practices. The findings highlight significant focus on hydrogen as feedstock for steel, ammonia, and methanol production and its use in high-to medium-temperature processes, and a general emphasis on techno-economic and technological evaluations of hydrogen applications across industries. However, gaps exist in research on hydrogen use in sectors like cement, glass, waste, pulp and paper, ceramics, and aluminum. Additionally, the analysis reveals limited attention in the identified literature to hydrogen supply chain efficiencies, including conversion and transportation losses, as well as geopolitical and raw material challenges. The analysis underscores the need for comprehensive and transparent data to align hydrogen use with decarbonization goals, optimize resource allocation, and inform policy and investment decisions for strategic deployment of renewable hydrogen.

This research focused on identifying various types of faults occurring on 330kV transmission lines through the use of artificial neural networks (ANN). A MATLAB model for the Gwagwalada-Katampe 330kV transmission line in Nigeria was implemented to generate fault datasets. Voltage and current fault parameters were utilized to train and simulate the ANN network architecture selected for each stage of fault detection. Four types of faults were considered, along with a fifth condition representing no fault. The results illustrated the success of the developed model in identifying various fault conditions and system parameters on the Gwagwalada-Katampe 330kV transmission line, modelled using MATLAB Simulink.

PT. Electronics Components Indonesia manufactures capacitors and focuses on enhancing productivity and operational efficiency of the frame welding machines through effective maintenance. This study employs a quantitative method to analyze the Overall Equipment Effectiveness (OEE) values, including availability, performance efficiency, and rate of quality, as well as conducting a Six Big Losses analysis. The results indicate that the average availability reached 97.83%, with a significant decrease in August due to downtime. Performance efficiency remained consistently above 90%, although higher product output tended to reduce efficiency. The rate of quality was stable and high, reflecting improvements in production processes and quality control. The average OEE value reached 88%, exceeding the global standard of 85%. To further enhance the effectiveness of the frame welding machines, suggested improvements include operator training, regular performance evaluations, attention to operator well-being, selection of high-quality raw materials, updating SOPs, regular preventive maintenance, improving workplace safety, and investing in backup energy systems. In conclusion, the improvements implemented successfully enhanced the performance and operational quality of the frame welding machines.

This paper presents a literature survey on the integration of Data Envelopment Analysis (DEA) with Lean Manufacturing and Lean Healthcare, highlighting the key topics explored and identifying existing gaps that suggest avenues for potential future research, particularly within the healthcare sector. Two bibliometric reviews were carried out, rigorously following the PRISMA guidelines, with a focus on data extracted from the Scopus and Web of Science (WoS) databases. The first review concentrated on studies related to DEA and Lean Manufacturing, aiming to provide a contextual understanding of the origins and applications of the Lean philosophy in various industries. In contrast, the second review examined the intersection of DEA and Lean Healthcare, aiming to identify existing patterns of application within the healthcare domain. The findings indicate that the integration of DEA with Lean methodologies is limited in the current body of literature, especially when considering applications in healthcare. All relevant articles were identified and their primary contributions were thoroughly outlined. Additionally, it was observed that the literature focusing on DEA and Lean Manufacturing is more developed and comprehensive, with a broader range of studies and sophisticated models designed for specific operational scenarios. On the other hand, research on the combination of DEA and Lean Healthcare remains scarce, with only three relevant papers found, none of which provide an in-depth exploration of the integration between these approaches. In conclusion, there are several notable gaps in the combined application of DEA and Lean, particularly within the healthcare sector. Future studies could address this by developing new models that further explore and enhance the synergy between DEA and Lean Healthcare methodologies. © 2025, Malque Publishing.

In this study, we fill the gap of limited effort on systematic literature review into the field of digital technology for occupational health of manufacturing industries. Upon reviewing 53 publications selected by combined bibliometric and classical review methods, we present an integrated overview of the major research areas and hot topics and critically identify the prevalent digital technologies and application modes, the enablers and barriers to implementation, as well as the research agenda in the field of digital technologies in occupational health. The results show that, with the increasing popularity and penetration of digital items like wearable devices and sensors, human–robot collaboration, deep learning analytics, the identified enablers to digital technology implementation are: intelligent manufacturing, competitive condition, data-driven decision-making tool, considerations of welfare and health; and the barriers are: technological gap, privacy and data security, culture and acceptance, and cost consideration. Additionally, propositions on three aspects and six perspectives are recommended for future research in this field. Overall, this study provides insights through systematic analysis and synthesis, and offers the means to achieve Sustainable Development Goals (SDGs) by exploring efficient digital technologies to protect labor rights and improve occupational health in the manufacturing industries.

Shaping safe and hygienic working conditions is the basic obligation of the employer. Employers are still looking for methods, tools, and solutions to improve work safety. The study reviews the literature on solutions aimed at improving occupational safety in construction. For this purpose, bibliometric analysis was used, consisting of the exploration and analysis of scientific studies in the field of occupational health and safety, including the possibility of using the LM tool to improve working conditions on construction sites. The study presents the possibility of implementing Lean Manufacturing (LM) tools in the construction industry. Their strengths and weaknesses were identified, and the benefits and possible barriers related to their effective implementation/use were identified. The result of the analyses was a summary of benefits for the construction industry (strengths and opportunities) as well as areas requiring improvement (weaknesses and hazards) regarding the LM tools used. Based on the conducted analyses, it was found that it is possible to use the tools of the LM concept to improve work safety and organize tasks performed on construction sites. The implementation of LM tools, such as 5S/6S, Poka-Yoke, and Standardization, enables risk reduction through a direct impact on the area being analyzed, in which occupational hazards have been identified. It is also noted that there is a need to simultaneously use LM tools (VM, Gemba-Walk, DHM) as solutions aimed at reducing risk.

Construction 4.0 is a platform that combines digital and physical technologies to enhance the design and construction of the built environment. Bridge Information Modeling (BrIM), a component of Construction 4.0′s digital technologies, streamlines construction processes and promotes collaboration among project stakeholders. In this study, a comprehensive literature review and bibliometric and content analysis are conducted on building information modeling (BIM), life cycle assessment (LCA), life cycle cost (LCC), BrIM, and Bridge LCA. This study investigates the potential integration of BrIM, LCA, and LCC as inputs for bridges’ LCA to enhance decision making by providing designers with detailed and interactive cost and environmental information throughout an asset’s lifecycle and explores the functionalities of Construction 4.0 and its potential influence on the economy and sustainability of bridge projects. The reviewed literature showed that the tools currently used to apply LCA and LCC methods for infrastructure assets lack the ability to identify possible integration with BrIM and hold limitations in their key functions for identifying the utmost features that need to be adopted in the creation of any tool to increase the general resilience of bridges and infrastructure.

Over the past several years, modularity methodology has drawn a lot of attention in the built environment and become a key area of emphasis for the construction sector. By disassembling a structure into standardised, prefabricated parts or modules that may be produced off-site and then assembled on-site, modularity is a construction technique. In order to identify possible research gaps for future studies, this study attempts to evaluate the research studies carried out on modularity technique in the built environment domain. The study also seeks to extract information from present research domain. The SCOPUS database was thoroughly searched for papers pertaining to modularity technique in the built environment using a scientometric review. Research articles from 2019 to 2024 were included in the study, which provided important insights into the themes and developments in the field of modularity methodology. The results showed that modularity technique is becoming more popular, as seen by the large number of publications in 2019. Interestingly, the study found a research gap and very little cooperation with other new developments in the built environment, like digital twins, novel materials, maximising land use, and circular economies. Cluster analysis revealed that the majority of research in this area focuses on the modularity methodology’s component parts, with little investigation into real-world applications across a range of disciplines. The study’s practical implications highlight the necessity for academics, practitioners, and policymakers in the construction sector to take modularity methodology into consideration as a workable and revolutionary strategy.

Delays in construction are a widespread global problem, leading to potential cost overruns and legal disputes. Additionally, delays can result in a decline in construction quality and loss of public trust. The aim of this study is to examine the effects of project delays in various regions and the preventive role of optimizing concrete works. Literature review and bibliometric analysis are carried out to determine global research trends. Findings show that optimizing concrete works can provide benefits such as cost savings, time savings, improved quality and safety, and environmental benefits. Optimization of concrete material composition is one of the most examined topics in this field. Based on the findings, construction firms have the potential to attain cost efficiencies while concurrently mitigating carbon emissions.

Lean philosophy has shown successful results in the manufacturing industry since the eighties regarding efficiency, reducing cost and errors. However, the philosophy originated in the private sector, where the work rules are defined by business owners within the framework of some regulation. In the public sector, however, the picture is different. The way of working and carrying out operations and projects is directly defined by regulation, where the owner’s role-as in the private world-is embodied by the entire political system. This article aims to take a comprehensive look at the academic literature on how Lean has been applied in the public sector (LIPS) from a bibliometric perspective and then delve deeper into the concept of lean construction in the public sector (LCPS) through a systematic review. The results give a complete picture of the research in LIPS, revealing that research directions focus on implementing Lean, how it works in the public sector and the human factors involved in its practice and digitalization. Moreover, the advantages and challenges of LCPS have been presented, where again, the human factor is the central concern of researchers.

The study and analysis of quality in its various dimensions has become a highly relevant field of research, with an interdisciplinary approach that involves disciplines such as industrial engineering, operations management and organizational psychology. Therefore, this article aims to analyze the general trend of studies related to quality culture around the world, using the methodology of bibliometric analysis. The Bibliometrix library and RStudio were used to analyze data obtained from the Scopus database from 1982 to February 2023. A total of 556 publications were found using the search equation TITLE-ABS-KEY (“Quality culture”) AND (LIMIT -TO (DOCTYPE, “ar”)). The average number of publications in the last 5 years is close to 40 scientific productions on the topic of study. The main countries, authors, institutions, journals, thematic areas and keywords of these studies were identified. The main themes of analysis included its relationship with total quality management, quality 4.0, quality and organizational performance. In conclusion, this review provides an overview of the scientific production on the object of study and also identifies factors associated with quality culture and its contribution to the development of organizations.

This paper provides an overview of the evolution and state-of-the-art of the Operations Research and Management Science (OR/MS) subject area from 1956 to 2019. Using text mining techniques on the content of the title, abstract, and author keywords of papers classified by the Web of Science as literature review studies in OR/MS, we found that there are 76 topical consolidated clusters in the field covering a wide range of reviewed topics. Since 2015, reviews on supply chain risk management and big data analytics have had the highest impact in the field, whereas topics such as Industry 4.0, socio-technical systems, social networks, green supply, sustainable supply chain, and resilience engineering have all received significant attention from researchers. Reviews on analytic hierarchy process were found to be the most impactful overall, showing the high relevance of multi-criteria decision making in the current research and practice contexts. Furthermore, a text mining analysis of the papers citing OR/MS literature reviews showed that optimization continues to be one of the most highly influential methodological contributions of OR/MS to other research areas and that topics such as circular economy, carbon emissions, and social commerce have yet to find some traction in OR/MS research, suggesting future research and multidisciplinary opportunities for the field. Results also show that the research area of Public Administration has been greatly influenced by OR/MS reviews as 16% of all the papers published in that field have cited at least one of the 1744 review papers included in this study. Finally, a summary table of published structured literature reviews per topic (benchmarks, classifications, taxonomies) is presented as a short bibliography of OR/MS review papers.

This paper presents a bibliometric analysis of inventory models in a sustainable supply chain. The methodology contains reviewing previous research with a performance evaluation, network analysis, and science mapping to identify the applications, trends, and future research topics. Scientific mapping examines the periods and volumes of publications, authors, journals, countries, regions, organizations, subject areas, and citation analyses. The dataset was obtained with the Scopus database and analyzed using MS Excel and VOSviewer. The search equation identified 335 research papers, which resulted in 131 significant manuscripts on the subject after being screened and filtered. The most notable countries in developing research were Iran, India, China, the United States, Canada, Taiwan, France, the United Arab Emirates, Turkey, and Denmark. Saha, S., Ajay, S.Y., and Baboli, A. were the most cited authors. The journals that publish the most research were Sustainability, the Journal of Cleaner Production, and the International Journal of Production Economics. Some research focuses on reducing carbon emissions and polluting agents applied in different industries in China, Brazil, India, and others. The main findings were the number of industry sectors researching this topic, increasing the number of publications, and promoting the proper use of resources within a sustainable supply chain. There are many investigations of theoretical models that have applications in real-life cases. There is also evidence of the high importance of promoting sustainable development. The emissions regulations in a green supply chain applied to agricultural products have allowed for more actions to achieve responsible production and consumption, as seen in applied research in the pulp and paper industry.

The detection of analytes in complex organic matrices requires a series of analytical steps to obtain a reliable analysis. Sample preparation can be the most time-consuming, prolonged, and error-prone step, reducing the reliability of the investigation. This review aims to discuss the advantages and limitations of extracting bioactive compounds, sample preparation techniques, automation, and coupling with on-line detection. This review also evaluates all publications on this topic through a longitudinal bibliometric analysis, applying statistical and mathematical methods to analyze the trends, perspectives, and hot topics of this research area. Furthermore, state-of-the-art green extraction techniques for complex samples from vegetable matrices coupled with analysis systems are presented. Among the extraction techniques for liquid samples, solid-phase extraction was the most common for combined systems in the scientific literature. In contrast, for on-line extraction systems applied for solid samples, supercritical fluid extraction, ultrasound-assisted extraction, microwave-assisted extraction, and pressurized liquid extraction were the most frequent green extraction techniques.

Climate deterioration and environmental pollution has been widely studied by a wide scientific community. The effects of the ecosystem deterioration impacts directly to human activities. In this scenario, the building industry has increased the pressure on proposing new materials to replace the cementicious component and natural resources (water, sand, gravel, and limestone) on mortar and concrete to reverse this trend. To this end, organic residues can offer opportunities as an available alternative for construction applications. Therefore, this paper aims to broaden the scope of research in this field by investigating the potential use of organic residues as cementicious building material based on bibliometric-statistical analysis using scientific information. A preliminary bibliometric analysis using VOSviewer was carried out to define the keywords co-ocurrence from Scopus database. Type of organic material, constructive use, and its properties (physicochemical, mechanical, and thermal) were extracted from scientific publications. Then, a systematic analysis criteria was defined to limit the scope of the study. Finally, statistical variance analysis and multiple correlation for identifying constructive application were applied. From the co-ocurrence analysis of keywords, we determined that 54% of the selected scientific publications were closely related to the scope of this study. State-of-the-art study established that related researches grew exponentially at a rate of about 30%/year. Moreover, scientific publications reported the use of a wide variety of organic residues, such as wheat, paper, hemp, rice, wood, molluscs, olive, coconut, among others. Mainly, agricultural residues (82%) with building applications related to structural concrete, mortar, bricks, and blocks, had been evaluated. Physicochemical properties from organic residues (extractives content, lignin content, and density) were correlated to mechanical (compressive, flexural and tensile strength) and thermal properties (thermal conductivity). The identification of the physicochemical properties of the organic residues allow us to predict the mechanical and thermal behavior of the material with residues. In summary, agricultural residues are the most promising organic building material due to their abundance and lignin content, exhibiting better mechanic and thermal properties than any other organic residues.

Metallic glasses (MGs) have been long investigated in material science to understand the origin of their remarkable properties. With the help of computational simulations, researchers have delved into structure-property relationships, leading to a large number of reports. To quantify the available literature, we employed systematic review and bibliometric analysis on studies related to MGs and classical molecular dynamics simulations from 2000 to 2021. It was found that the total number of articles has increased remarkably, with China and the USA producing more than half of the reports. However, high-impact articles were mainly conducted in the latter. Collaboration networks revealed that top contributor authors are strongly connected with other researchers, which emphasizes the relevance of scientific cooperation. In regard to the evolution of research topics, according to article keywords, plastic behavior has been a recurrent subject since the early 2000s. Nevertheless, the traditional approach of studying monolithic MGs at the short-range order evolved to complex composites with characterizations at the medium-range order, including topics such as nanoglasses, amorphous/crystalline nanolaminates, rejuvenation, among others. As a whole, these findings provide researchers with an overview of past and current trends of research areas, as well as some of the leading authors, productivity statistics, and collaboration networks.

The need for ultraprecision finishing has grown, and magnetic field-assisted finishing has shown potential for overcoming some challenges. This study evaluates the scientific production and identifies future directions of magnetic field-assisted finishing based on a bibliometric analysis. Using Bibliometrix, network mapping and descriptive analysis were performed on 1558 documents related to magnetic field-assisted finishing-related research published over the past 51 years. The results of the comprehensive literature reviewed showed that the theme exhibits a rising trend of 56% in the last 10 years, being mainly conducted by Chinese, Indian, and American researchers. Different geometries and materials can be finished and which had surface roughness ranges from sub-nanometer- to micrometer-scale. Surface finishing of freeform dies and molds, optical components, and medical devices have been standing out as current process applications in tooling, aerospace, and biomedical industries. AISI 304 stainless steel was the most tested metal. Finally, potential areas of research were identified in the coming years, which could lead to new fields of application for magnetic field-assisted finishing in industry.

Polyisobutylenes (PIB) constitute a versatile family of polymer materials that have been used mainly as fuel and lubricant additives. Particularly, the current commercial demand for highly reactive polyisobutylene (HR-PIB) products motivates the development of new processes and procedures to produce PIBs with high polymer yields, narrow molar mass distributions and high vinyl contents. For this reason, a bibliometric survey is presented here to map and discuss important technical aspects and technological trends in the field of solution cationic polymerization of isobutylenes. It is shown that investigations in this field are concentrated mainly on developed countries and that industrial initiatives indicate high commercial interest and significant investments in the field. It is also shown that use of catalyst systems based on AlCl3 and ether cocatalysts can be very beneficial for PIB and HR-PIB manufacture. Finally, it is shown that investigations search for cheaper and environmentally friendly catalysts and solvents that can be employed at moderate temperatures, particularly for the production of HR-PIB.

A statistical bibliometric study of the trends of the topics related to the design, diagnosis of buildings and construction developed over the last 19 years is carried out through the analysis of five cases of international journals specific to the area of high impact research. in architecture and construction. The total volume of papers involved in the topics of analysis reaches 24,230 units. With these historical data it is expected to determine current issues, of sustained relevance and to detect emerging topics of great transforming potential in the discipline. Development trends are observed in the emerging topics of interest and percentage growth among all the topics considered. The variation in the level of participation of some topics in architecture and construction over time is defined in the cases analyzed. The results indicate the stable topics and those emerging whose development and antiquity announces a forthcoming trend that will transform again the way of designing, communicating and constructing the architectural object.

This paper presents a bibliometric and systemic analysis of product development, digital manufacturing, and product manufacturing information. The ProKnow-C (Knowledge Development Process – Constructivist) method was used to achieve the aim of this study, for it allows researchers to acquire knowledge and detect relevant studies that can support the theoretical foundation of scientific research. After selection, a collection of relevant papers was subjected to quantitative analysis for identifying the most important authors, journals, and keywords. Thereafter, a systemic analysis was accomplished in order to verify the content of articles in a bibliographic portfolio and identify opportunities, trends, and research gaps. Finally, the main research opportunities in the proposed area of interest of were recognized and hereby presented.

Natural Rubber Field Latex (NRFL) allergens restrict its use in some markets due to health-threatening allergic reactions. These molecules are proteins that are related to asymptomatic sensitization and hypersensitivity mediated by immunoglobulin E (IgE). Although NRFL allergens have been investigated since the 1980s, there are still gaps in knowledge regarding the development of deproteinized natural rubber (DPNR). Therefore, in this study, the deproteinization of NRFL from the lower basin of the Cauca River, Antioquia-Colombia was evaluated using eight systems. The highest removal value was 84.4% and was obtained from the treatment containing SDS (Sodium dodecyl sulfate), Urea, and Ethanol. It was also possible to determine that at high concentrations of SDS, removal percentages higher than 70% are reached. On the other hand, all deproteinizing systems decreased NRFL Zeta potentials without self-coagulation, suggesting enhanced colloidal stability in DPNR latex. On the other hand, the bibliometric analysis presented technological advances in DPRN through different parameters and bibliometric networks. The analysis presented makes an important contribution from the bibliometric approach that could be positive for the development of research.

Industrial symbiosis, a concept derived from industrial ecology, emphasizes the collaborative and synergic production among industries. The particular focus is on cyclical flows of resources (material, energy, water, and/or by-products), in order to minimize impacts on the environment. In this way, an industry could reuse the discarded resources of another industry as an input to production. Essentially, the characteristics of the interaction between components of the system define industrial symbiosis as complex and dynamic. Uncertainty, unpredictability, emergency, and adaptability are determining features of this interaction. The development of such an innovative system requires great effort. An important step is to create a representative model of this new reality to support system change. Hence, the present article develops an evaluation of the industrial symbiosis systems modeling. For this purpose, the research adopted a bibliometric and systemic analysis. The results presented in this paper are: (i) an analysis of scientific knowledge about the theme, (ii) the main points discussed and opportunities extracted in the literature, and (iii) the paradigms of industrial symbiosis modeling and simulating. In addition, this work will cooperate as a research base for the development of a new model, which intends to support decision-making processes, during the creation of symbiosis links.

Saccharomyces cerevisiae yeasts are widely known and used in biotechnological processes, as they have an excellent metabolic capacity that results in the formation of natural products with high added value. Thus, this study aims to present a view on the production of metabolites by Saccharomyces cerevisiae and their application in biotechnological processes. For this, a bibliometric analysis was carried out on the scientific production regarding the use of yeasts in biotechnological tests for the production of substances by activating their metabolic pathways. The articles found in the range between the years 2014 to 2019 are mostly research articles 57% and the rest 43% review. The analysis of the production of articles per year showed an oscillation for both research and review articles, and the countries with the highest publication rate are the United States and China. The data demonstrate a growing interest in secondary metabolic pathways of S. cerevisiae. These microorganisms can be used for the production of different metabolites that are of industrial interest, as they have a purity content that results in high commercial value.