Maghreb Journal of Documentation and Information from 1983 to 2020: a bibliometric study

Throughout this work, the general characteristics of the Maghreb Journal of Documentation and Information have been introduced since its’ establishment in 1983 to 2020. The Maghreb Journal of Documentation and Information is published annually by the Higher Institute of Documentation. The researchers have used the bibliometric approach in order to quantify the frequency of publications and to review the percentage of articles’ productivity and their distribution during the years of publications. The study found that there is an average of 447 articles published by 572 authors in 29 issues over a period of 24 years from the actual publications, without considering the years of interruption. It is worth to mention that the journal was resuming its activities and functions after each interruption, especially after the scientific events to publish their activities or after changing its directing members. Moreover, in order to clarify the direction of the journal and its editorial board, the bibliometric approach has also helped to extract the sub-topics presented by the publications, as it is the only journal specialised in the information science in Tunisia. In addition, besides studying of the linguistic writing choices of the authors; the study focused on the Influence of the French language in writings to understand the general cultural and social framework that made the Arabic language ranked as a second language in number of publications.

A Decade of Value Education Model: A Bibliometric Study of Scopus Database in 2011-2020

<p style="text-align: justify;">This bibliometric study aims to map the value education model research to provide direction for future research, especially in education and teaching. It is essential because value is the core of education. After all, in addition to opening the window of knowledge, education also has a role in transferring values for internalizing them in the education model. Therefore, conducting studies related to the concept and model of value education is essential for an educator. The focus of this study is to examine the bibliography related to the value education model based on the Scopus database in the period 2011-2020. This research took four stages; first: using Publish or Perish application to search articles from Scopus database. Second, performing filter by setting bibliographic criteria to be analyzed. Third, checking and completing articles' metadata through the EndNote reference manager application. Fourth, perform bibliometric analysis through the VOSviewer application. Through these four stages, seven analyses were explored; the trend of publications related to the value education model, analysis of the keywords used, collaboration of authors, citation patterns, institutions, and countries that were contributors to the study of the value education model, and abstract analysis. The results of this exploration conclude that there is a tendency for academics to pay less attention to the value education model when viewed from the number of publications related to the topic. The contribution of this research can be expected to provide direction for other researchers in conducting research and development related to educational models.</p>

Sustainable Green Nanotechnologies for Innovative Purifications of Water: Synthesis of the Nanoparticles from Renewable Sources

Polluting the natural water resources is a serious global issue, which is confirmed by the fact that today at least 2 billion people consume water from contaminated sources. The conventional wastewater treatment methods cannot effectively remove the persistent pollutants (e.g., drugs, organic dyes, pesticides) from the aqueous environment. Heterogeneous photocatalysis is a promising and sustainable alternative for water remediation. It is based on the interaction between light irradiation and the semiconductors (e.g., TiO2, ZnO) as photocatalysts, but these compounds, unfortunately, have some disadvantages. Hence, great attention has been paid to the nanotechnology as a possible way of improvement. Nanomaterials have extraordinary properties; however, their conventional synthesis is often difficult and requires a significant amount of dangerous chemicals. This concise topical review gives recent updates and trends in development of sustainable and green pathways in the synthesis of nanomaterials, as well as in their application for water remediation. In our review we put emphasis on the eco-friendly, mostly plant extract-based materials. The importance of this topic, including this study as well, is proved by the growing number of publications since 2018. Due to the current serious environmental issues (e.g., global warming, shortage of pure and quality water), it is necessary for the traditional TiO2 and ZnO semiconductors to be replaced with the harmless, non-toxic, and more powerful nanocomposites as photocatalysts. Not only because of their higher efficiency as compared to the bulk semiconductors, but also because of the presence of biomolecules that can add up to the pollutant removal efficiency, which has been already confirmed in many researches. However, despite the fact that the application of heterogeneous photocatalysis together with green nanotechnology is absolutely the future in water purification, there are some challenges which have to be overcome. The exact effects of the biomolecules obtained from plants in the synthesis of nanoparticles, as well as in the photocatalytic processes, are not exactly known and require further investigation. Furthermore, heterogeneous photocatalysis is a well-known and commonly examined process; however, its practical use outside the laboratory is expensive and difficult. Thus, it has to be simplified and improved in order to be available for everyone. The aim of our review is to suggest and prove that using these bio-inspired compounds it is possible to reduce human footprint in the nature.

The economics of Forest Carbon Sequestration: A Bibliometric Analysis

Carbon sequestration in forests has increasingly captured the attention of scientists as a strategy for climate change mitigation and environmental sustainability. In this era of huge carbon emission, being a low-carbon and cost-effective technology, the economic analysis of forest carbon sequestration holds higher importance for the successful implementation and intended outcomes. This study elucidates a scientometric view of the research structure and thematic evolution of economic studies on forest carbon sequestration based on 1,439 articles over the time slice 2001-2021. The bibliographic data has been retrieved from the Dimensions database which accommodates a large coverage of research publications and also provides easy access to essential scholarly data and information. Vosviewer and Biblioshiny software tools have opted for visualization and evaluation purposes of bibliometric data. This study employs various measures of bibliometric analysis like co-authorship, bibliographic coupling, citation and keyword analysis to find out the principal articles, authors, journals, most frequent keywords and highest publishing countries and institutions in this field and the results show that the number of publications has escalated substantially in the last five years, Popp A, 2017 (305 citations) and André P C Faaij (11 documents) are the most cited article and the most productive author, respectively, Bradford’s law calculates 21 core journals out of total 503 journals among which Forest Policy and Economics is on the top, and the most productive country and institution are the USA and University of Florida, respectively. The study also investigates key publishing subject categories and the number of publications covered under each Sustainable Development Goals. The overall outcome of this bibliometric study confers an in-depth understanding of the various dimensions of economic analysis on forest carbon sequestration, its development pattern in the last 20 years and also provides emerging themes for future references.

The Scientific Profiles of Documented Collections via Publication Data: Past, Present, and Future Directions in Forensic Anthropology

Human osteological documented collections (DCs), also referred to as “identified collections”, are a valuable resource in biological and forensic anthropology, as they offer the possibility for hypothesis-driven research on sex and age-at-death estimation methods, human variability, and other morphometric-based parameters of individual identification. Consequently, they feature in many publications addressing the forensic sciences. The paper aims to explore the scientific profiles of DCs via publication using bibliometric data. The Dimensions databases were used to select the DC-related keywords in the title and abstracts of the publications. The search result analysis and extraction were conducted using VOSviewer. A total of 376 articles were found, published between 1969 and 2021 (November). The number of publications has increased over the years, specifically after 2011. The results show that most of the publications are associated with countries such as the United States and Portugal (the latter highlights the University of Coimbra), that the research tends to focus on human biological profiling (e.g., age, sex assessments), and that the journals with the highest numbers of publications were related to forensic sciences. This analysis shows a positive correlation between DC publications and the growth of forensic anthropology in recent years, with a slight shift towards the leading institutions that publish DC-based research. Hence, we can anticipate a change in the institutional leading profiles in the years to come.

The economics of Forest Carbon Sequestration: A Bibliometric Analysis

Carbon sequestration in forests has increasingly captured the attention of scientists as a strategy for climate change mitigation and environmental sustainability. In this era of huge carbon emission, being a low-carbon and cost-effective technology, the economic analysis of forest carbon sequestration holds higher importance for the successful implementation and intended outcomes. This study elucidates a scientometric view of the research structure and thematic evolution of economic studies on forest carbon sequestration based on 1,439 articles over the time slice 2001-2021. The bibliographic data has been retrieved from the Dimensions database which accommodates a large coverage of research publications and also provides easy access to essential scholarly data and information. Vosviewer and Biblioshiny software tools have opted for visualization and evaluation purposes of bibliometric data. This study employs various measures of bibliometric analysis like co-authorship, bibliographic coupling, citation and keyword analysis to find out the principal articles, authors, journals, most frequent keywords and highest publishing countries and institutions in this field and the results show that the number of publications has escalated substantially in the last five years, Popp A, 2017 (305 citations) and André P C Faaij (11 documents) are the most cited article and the most productive author, respectively, Bradford’s law calculates 21 core journals out of total 503 journals among which Forest Policy and Economics is on the top, and the most productive country and institution are the USA and University of Florida, respectively. The study also investigates key publishing subject categories and the number of publications covered under each Sustainable Development Goals. The overall outcome of this bibliometric study confers an in-depth understanding of the various dimensions of economic analysis on forest carbon sequestration, its development pattern in the last 20 years and also provides emerging themes for future references.

The Global Publication Trend and Research Development of Nerve Block: A Visualisation Analysis Between 1997 and 2021

Background: Nerve block is used as a clinical technique for relieving pain during the surgical period as well as in postoperative analgesia and chronic pain. Although great progress has been recently made regarding nerve block techniques, there is still room for further medical and technical improvement. Here, we analysed the trends in nerve block research and compared contributions from different countries, institutions, journals, and authors. Methods: We extracted all studies concerning nerve block published between 1997 and 2021 from the Web of Science database. Microsoft Excel and VOSviewer were employed to collect publication data, analyse publication trends, and visualize relevant results. Results: A total of 6,437 publications with 111,612 citations were identified between 1997 and 2021. The United States contributed the greatest number of publications (2010), whereas China ranked second (518). The Regional Anesthesia & Pain Medicine journal had published the most papers concerning nerve block. Harvard University and Mariano ER were the most productive institution and author, respectively, in the field. Keywords were categorized into five clusters: the association between nerve block and anaesthesia or analgesia, local anaesthetic drugs for nerve block, nerve block techniques, nerve block for postoperative analgesia, and nerve block for oral local anaesthesia. Management-related research was a heavily researched topic in the field. Conclusions: We concluded that the United States contributed the most studies, and developing countries, led by China, are also encouraging study in this area. The exploration of new drugs in the fields of nerve block, multi-modal analgesia after surgery, treatment of chronic pain, analgesia for thoracic and abdominal surgeries, and analgesic interventions in oral therapy is considered as a potential focus for future research.

Selenium Deficiency in COVID-19—A Possible Long-Lasting Toxic Relationship

In the last two years, there has been a surge in the number of publications on the trace element selenium (Se) and selenocysteine-containing selenoproteins in human health, largely due to the pandemic and the multiple roles that this micronutrient and Se-dependent selenoproteins play in various aspects of the disease [...]

A Review of Recent Developments in Autotuning Methods for Fractional-Order Controllers

The scientific community has recently seen a fast-growing number of publications tackling the topic of fractional-order controllers in general, with a focus on the fractional order PID. Several versions of this controller have been proposed, including different tuning methods and implementation possibilities. Quite a few recent papers discuss the practical use of such controllers. However, the industrial acceptance of these controllers is still far from being reached. Autotuning methods for such fractional order PIDs could possibly make them more appealing to industrial applications, as well. In this paper, the current autotuning methods for fractional order PIDs are reviewed. The focus is on the most recent findings. A comparison between several autotuning approaches is considered for various types of processes. Numerical examples are given to highlight the practicality of the methods that could be extended to simple industrial processes.

MODERN STAGE OF ARTIFICIAL INTELLIGENCE (AI) DEVELOPMENT AND APPLICATION OF AI METHODS AND SYSTEMS IN POWER ENGINEERING

В статье анализируется ряд публикаций на эту тему, а также обобщаются результаты дискуссий на конференции «Знания, онтологии, теории» (Новосибирск, 8-12 ноября 2021 г.) и Круглом столе в ИСЭМ СО РАН «Искусственный интеллект в энергетике» (22 декабря 2021 г.). Рассматриваются понятия: сильный и слабый ИИ, объяснимый ИИ, доверенный ИИ. Анализируются причины «бума» вокруг машинного обучения и его недостатки. Сравниваются облачные технологии и технологии граничных вычислений. Определяется понятие «умный» цифровой двойник, интегрирующий математические, информационные, онтологические модели и технологии ИИ. Рассматриваются этические риски ИИ и перспективы применения методов и технологий ИИ в энергетике. The article analyzes a number of publications on this topic, and also summarizes the results of discussions at the conference "Knowledge, Ontology, Theory" (Novosibirsk, November 8-12, 2021) and the Round Table at the ISEM SB RAS "Artificial Intelligence in Energy" (December 22 2021). The concepts are considered: artificial general intelligence (AGI), strong and narrow AI (NAI), explainable AI, trustworthy AI. The reasons for the "hype" around machine learning and its disadvantages are analyzed. Compares cloud and edge computing technologies. The concept of "smart" digital twin, which integrates mathematical, informational, ontological models and AI technologies, is defined. The ethical risks of AI and the prospects for the application of AI methods and technologies in the energy sector are considered.