Frontiers Of Knowledge Research Articles

Development of education in Nakhchivan Autonomous Republic

The Autonomous Republic of Nakhchivan, settled within the borders of Azerbaijan, embarks on a transformational journey in the field of education and science. Amidst its scenic landscapes and personal cultural heritage, NAR is steadfast in its commitment to developing human capital, enabling intellectual curiosity and flourishing a culture of innovation. These years can be achieved as a result of scientific research and discoveries in building a strong educational infrastructure in the region, expanding access to educational decision making. The development of education and science in the Nakhchivan Autonomous Republic is Development of education in Nakhchivan Autonomous Republicthe focus of the state to develop people, create innovation capitals and contribute to socio-economic progress. Along with efforts to strengthen NAR education, it has also given importance to the development of a culture of scientific research and innovation. Through strategic investments, research ties and international relations, the region has become a center for advanced research and technological research. From breakthroughs in agricultural science to advances in renewable energy, Nakhchivan's scientific legacy continues to push the frontiers of knowledge, fueling progress and prosperity in the region and beyond. In the article, NAR will be researched for education and science development.

How Financial Development Is Driving the Growth and Environmental Dimensions of Sustainable Development in Africa: Heterogeneous Analyses

Globally, we face a policy dilemma between desiring more economic growth and safeguarding the deteriorating ecosystem, which have an apparent trade-off. Consequently, financing growth often comes with strong concerns for the ecological implications, which is yet to be empirically resolved. Hence, the current study examined the growth and environmental effects of financial development from three angles, each with a robust indicator, comprising financial development index, financial institution index, and financial market index. The scope of this study was financial development in 30 selected African countries from 1996 to 2021. This study extends the frontier of knowledge by estimating the moderating roles of regulatory quality and digitalization coupled with other control variables: renewable and nonrenewable energy, government expenditure, trade openness, and foreign direct investment. The empirical evidence relies on estimators such as common correlated effects (mean group), the system-generalized method of moment, and method of moment quantile regression. The findings from this study reveal that financial development propels economic growth but to the detriment of the ecosystem. However, when the interactive effects of regulatory quality and digitalization are considered, the negative externalities of growth-induced financial development are reduced. Furthermore, control variables such as renewable energy and foreign direct investment promote growth without escalating ecological damage. This is in contrast to nonrenewable energy, government expenditure, and trade openness, which propel economic growth at the expense of the ecological system. Policy recommendations that balance the trade-off between the two measures are put forward based on the research outcomes.

Investigating the market tightness of selected stocks in the Johannesburg Stock Exchange

The market tightness of equity securities is an integral component of financial market because it supports smooth trading and absorb market shocks. However, the contention has always been to effectively determine the level of tightness in equity securities with the application of proper methodology in order to make informed decisions. Therefore, aim of this study was to examine the level of market tightness in selected stocks in the Johannesburg stock exchange. Using a variance ratio model, the findings of this study indicates that most securities trading on the exchange lack market tightness. This was evident in the difference between the one, two and three months variances that were not equal to 1 . Therefore, a specialist system should be introduced in order to facilitate the execution of trades without significantly moving the prices of equity securities. This study improves the frontier of knowledge regarding liquidity management, by empirically investigating the market tightness of equity securities.

Predictive modelling of the effectiveness of vaccines against COVID-19 in Bogotá: Methodological innovation involving different variants and computational optimisation efficiency

The uncertainty associated with the future of viruses such as SARS-CoV-2 poses a challenge to public health officials because of its implications for welfare, economics and population health. In this document, we develop an age-stratified epidemiological-mathematical model to predict various health outcomes, considering the effectiveness of COVID-19 vaccines. The analytical model proposed and developed for this research is based on the approach constructed by the COVID-19 International Modelling Consortium. Following this approach, this paper innovates at the frontier of knowledge by including the various variants of SARS-CoV-2 in the Consortium model. Furthermore, for the first time in international literature, a complete compilation of the formal mathematical development of this entire quantitative model is presented. Our model accurately fits the observed historical data of new infections, cumulative mortality, symptomatic infections, hospitalisations, and Intensive Care Units admissions, capturing the waves of contagion that have occurred in Bogotá, Colombia. In turn, the prognosis obtained indicates a considerable decrease in the incidence and lethality caused by SARS-CoV-2 under current conditions, thus evidencing the effectiveness of vaccines against infection, hospitalisation, and death. This model enables the evaluation of different scenarios in response to changes in the dynamics of this infectious disease, providing information to policymakers for real-world evidence-based decision-making.

Accelerating AI for science: open data science for science.

Aspirations for artificial intelligence (AI) as a catalyst for scientific discovery are growing. High-profile successes deploying AI in domains such as protein folding have highlighted AI's potential to unlock new frontiers of scientific knowledge. However, the pathway from AI innovation to deployment in research is not linear. Those seeking to drive a new wave of scientific progress through the application of AI require a diffusion engine that can enhance AI adoption across disciplines. Lessons from previous waves of technology change, experiences of deploying AI in real-world contexts and an emerging research agenda from the AI for science community suggest a framework for accelerating AI adoption. This framework requires action to build supply chains of ideas between disciplines; rapidly transfer technological capabilities through open research; create AI tools that empower researchers; and embed effective data stewardship. Together, these interventions can cultivate an environment of open data science that deliver the benefits of AI across the sciences.

Financial Development, Monetary Policy, and the Monetary Transmission Mechanism—An Asymmetric ARDL Analysis

This paper’s objective is to examine the asymmetric cointegration and asymmetric effects of financial development and monetary policy on monetary transmission mechanisms in the Nigerian context using annual data spanning the period from 1986 to 2023. This study pushes the frontiers of knowledge by providing information on the nonlinear impacts of monetary policy and financial sector innovations on monetary transmission mechanisms in Nigeria to help policymakers tailor their strategies to local conditions, enhancing the effectiveness of monetary interventions in the economy. To achieve this, this paper adopted nonlinear ARDL models to understand how changes in the direction of monetary policy and developments in the financial system induce changes in the transmission of monetary policy. The findings document the existence of asymmetries in both the short and long run, revealing that the impacts of financial development and monetary policy on the different monetary policy channels are not uniform. These asymmetries indicate that the responses of various economic variables to monetary policy actions differ depending on the level of financial development. These findings underscore the complexity of the monetary transmission mechanism and the necessity for a nuanced understanding of how financial development and monetary policy interact in different contexts. Consequently, this finding is symptomatic of some characteristics of those financial markets on their way toward advanced developments. As the financial system matures, monetary policy may have a greater impact on the cost of short-term funding for banks without having any discernible effect on the rates at which businesses and households access funding. Therefore, this paper recommends focusing on the policies that will foster the financial system across the banking sector, capital market, bond market, and overall financial sector to improve the efficiency of the monetary transmission process.

Trade literature provides a path from research to practice

Abstract The work of professionals practicing in the community provides a pathway for knowledge advances to reach practice. Yet outside of medicine, little attention has been paid to this phenomenon. Similarly, professions are defined by bodies of knowledge yet studies of professions do not attend to the dynamic relationship between professionals and the ever advancing frontiers of knowledge. In this paper, we delineate the pathway from research to practice as evidenced in trade literature. Our analysis is based on bibliometric and survey data. We find evidence that trade literature is informed by research in references to research papers found in trade periodicals, and trade press articles authored by researchers. Professionals feed back their advances in practice to the community by writing articles for trade publications, and sometimes these are articles are cited by scholarly journal articles, thus the exchange of knowledge is bi-directional to a certain extent. Our survey established that many professionals read trade literature because the contents are relevant to their practice. They trust, with caveats, the material they read but trust more in material with an obvious connection to public sector research. Professionals can often point to ways their practice has improved due to something they read in a trade periodical. Thus the trade literature has institutionalized a mechanism of indirect linkage between research and practice. Indexing trade periodicals could provide a valuable resource for those wishing to make visible the connection between research and practice.

Innovation stakeholders: Developing a sustainable paradigm to integrate intellectual property and corporate social responsibility

AbstractInnovation is usually framed in terms of expanding the knowledge frontier or the commercialization of new ideas. However, it is much more than that. Innovation is also about providing greater well‐being for society and the various stakeholders that support a firm's efforts to innovate. This article examines the paradoxical status of innovation and its related legal domain of intellectual property rights, which largely exists beyond the purview of corporate social responsibility (CSR) theory, practice, and discourse. To address this conceptual deficiency, this article interlinks intellectual property, innovation, and CSR to offer three contributions. First, this article provides a working definition of the various stakeholders that must be identified to define CSR goals related to innovation. A critical aspect of CSR is the identification of relevant stakeholders. Second, this article discusses how established CSR approaches will accommodate these innovation stakeholders. Third, this article introduces and positions the managerial strategy of open innovation as a feasible and desirable approach that ethically recognizes, engages, and balances the interests of innovation stakeholders with the interests held by the firm and society. The normative argument made is that the firm's fiduciary leaders have an ethical obligation to pursue open innovation practices as a default norm to achieve the best CSR results for the firm and its various innovation stakeholders.

P-197 Current status and hotspots of in vitro oocyte maturation: a bibliometric study of the past two decades

Abstract Study question What is the current research status and hotspot of in vitro maturation? And how could we improve the efficiency of IVM technique? Summary answer Five hotspots in IVM field were found, including culturing system, supplementation, cooperation in the ovarian follicle, gene expression, and cryopreservation of oocytes. What is known already In vitro maturation (IVM) of oocytes is a promising technique among assisted reproductive technologies. Because ovarian stimulation is minimal or absent in an IVM cycle, IVM technique reduces the risk of ovarian hyperstimulation syndrome (OHSS) and captures the reproductive potential of immature oocytes. However, the developmental competence of IVM oocytes is generally lower than the oocytes matured in vivo. A recent study showed the cumulative live birth rate in IVM is still inferior to standard IVF. The protocol for IVM still needs to be improved in some details. Study design, size, duration The articles and reviews related to IVM in the Web of Science Core Collection (WoSCC) were retrieved on January 16th, 2023. Three bibliometric tools including VOSviewer 1.6.18, CiteSpace 6.1.R6, and Bibliometrix R package 4.1.0 were used to generate network maps and explore frontier knowledge and trends. Participants/materials, setting, methods The data was retrieved and downloaded from WoSCC using the search formula: TS = (“in vitro maturation” OR “IVM”) AND TS = (follic* OR oocyte*) NOT TS=“ivermectin”. The timespan was set from 2003 to 2022. The language was limited to English, and publication types to article or review. VOSviewer detected indicators, including country, institution, journal, and author. CiteSpace analyzed reference co-citation and identified emerging keywords. Bibliometrix explored trending topics in IVM field. Main results and the role of chance A total of 5133 publications about IVM were retrieved from WoSCC, including 4706 articles and 427 reviews. The number of publications in IVM has increased steadily. China and University of Adelaide were the most prolific country and institution in IVM. Theriogenology was the most published and cited journal. Thompson, Jeremy G was the most productive author in the field of IVM, and Eppig, JJ’s papers were cited most. Furthermore, five hotspots were summarized and introduced, including culturing system, supplementation, cooperation in the ovarian follicle, gene expression, and cryopreservation of oocytes. This study comprehensively and visually analyzed the hotspots and frontiers of IVM in the past two decades. In our conclusion, further study could concentrate on: (1) the mechanism of oocytes matured in vivo and in vitro, especially in energy metabolism and intercellular communications; (2) establishment of IVM culture system, including standardized biphasic IVM culturing system and standardized supplementation; (3) the genetic differences between oocytes matured in vivo and in vitro; (4) the mechanism of cryopreservation-inflicted damage and the solution. Limitations, reasons for caution Due to the limitations of the software, the data we used for bibliometric analysis was only retrieved from WoSCC. Also, while bibliometric analysis can help us understand a field visually, it cannot completely replace system retrieval. Wider implications of the findings In this review, we explored and analyzed the field of IVM from 2003 to 2022 comprehensively and visually. Possible trends and hotspots in future were predicted, which may pave the way for future study directions and developments. Trial registration number not applicable

Nepotism vs. intergenerational transmission of human capital in Academia (1088–1800)

We have constructed a comprehensive database that traces the publications of father–son pairs in the premodern academic realm and examined the contribution of inherited human capital versus nepotism to occupational persistence. We find that human capital was strongly transmitted from parents to children and that nepotism declined when the misallocation of talent across professions incurred greater social costs. Specifically, nepotism was less common in fields experiencing rapid changes in the knowledge frontier, such as the sciences and within Protestant institutions. Most notably, nepotism sharply declined during the Scientific Revolution and the Enlightenment, when departures from meritocracy arguably became both increasingly inefficient and socially intolerable.

PBK models to predict internal and external dose levels following oral exposure of rats to imidacloprid and carbendazim

Monitoring oral exposure to pesticides in wildlife is crucial for assessing environmental risks and preventing adverse effects on non-target species. Traditionally, this requires invasive tissue sampling, raising ethical, regulatory, and economic concerns. To address this gap, our study aims to develop a method for assessing external oral dose levels in rats using physiologically-based kinetic (PBK) modeling based on blood concentration levels of two pesticides, imidacloprid and carbendazim, and one of their primary metabolites. We utilized in vitro metabolic kinetic data from hepatic microsomal and S9 incubations to inform our models. These models were then evaluated by comparing their predictions with existing in vivo experimental data from the literature. Our results demonstrate that the models provide accurate predictions, presenting a novel in vitro and in silico approach for environmental exposure and risk assessment of pesticides. This methodology has the potential for application in wildlife species, advancing the frontier of knowledge in non-invasive pesticide exposure assessment.

Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science

Frustration, an inherent part of the classroom, is routinely associated with negative stigmas, however, if appropriately managed it can be a highly effective tool for excelling students. Often referred to as eustress, it is the principle that follows the premise of introducing students to a topic they are not familiar with, causing frustration as they learn the currently unfamiliar topic. In the experiment, a correlating pattern involving behavior can properly monitor frustration in a way that remains productive to the student. This process can be emulated using artificial intelligence in schools (AIED) to create adaptive algorithms that provide students with unfamiliar topics until the point that said student becomes sufficiently frustrated, at which point the AI would slow down the curriculum. Through discernment patterns in learners’ frustration levels and problem-solving strategies, AI can dynamically adjust the difficulty of tasks to accommodate each student’s personal needs, as well as the pacing of instruction, and the provision of support. In doing so, AIED could mitigate the adverse effects of extreme frustration and reaping the benefits of frustration that pushes students to a farther level than our current educational system can provide. With AIED creating the ideal structure of adaptive scaffolded learning, students’ needs can be individually fostered in a way that most preferably suits them. This ability to push students into learning curriculum at such an intricate level will allow students to further develop their independence when solving future problems as the high difficulty will authenticate the student's ability to grasp the concept extensively. The intricate interplay between AIED and frustration models is crucial for advancing the frontiers of human knowledge and pushing students to achieve their full potential.

Global status and trends of metabolomics in diabetes: A literature visualization knowledge graph study.

Diabetes is a metabolic disease characterized by hyperglycemia, which has increased the global medical burden and is also the main cause of death in most countries. To understand the knowledge structure of global development status, research focus, and future trend of the relationship between diabetes and metabolomics in the past 20 years. The articles about the relationship between diabetes and metabolomics in the Web of Science Core Collection were retrieved from 2002 to October 23, 2023, and the relevant information was analyzed using CiteSpace6.2.2R (CiteSpace), VOSviewer6.1.18 (VOSviewer), and Bibliometrix software under R language. A total of 3123 publications were included from 2002 to 2022. In the past two decades, the number of publications and citations in this field has continued to increase. The United States, China, Germany, the United Kingdom, and other relevant funds, institutions, and authors have significantly contributed to this field. Scientific Reports and PLoS One are the journals with the most publications and the most citations. Through keyword co-occurrence and cluster analysis, the closely related keywords are "insulin resistance", "risk", "obesity", "oxidative stress", "metabolomics", "metabolites" and "biomarkers". Keyword clustering included cardiovascular disease, gut microbiota, metabonomics, diabetic nephropathy, molecular docking, gestational diabetes mellitus, oxidative stress, and insulin resistance. Burst detection analysis of keyword depicted that "Gene", "microbiota", "validation", "kidney disease", "antioxidant activity", "untargeted metabolomics", "management", and "accumulation" are knowledge frontiers in recent years. The relationship between metabolomics and diabetes is receiving extensive attention. Diabetic nephropathy, diabetic cardiovascular disease, and kidney disease are key diseases for future research in this field. Gut microbiota, molecular docking, and untargeted metabolomics are key research directions in the future. Antioxidant activity, gene, validation, mass spectrometry, management, and accumulation are at the forefront of knowledge frontiers in this field.

Comparative toxicity assessment of fisetin-aided artificial intelligence-assisted drug design targeting epibulbar dermoid through phytochemicals

Abstract Epibulbar dermoid, benign tumors resulting from the improper function of the pathogenic protein Patched 1 (PTCH1), surgical interventions are employed to mitigate the lethal effects. However, these procedures often lead to complications such as scleral weakening and corneal astigmatism. Due to the absence of effective medical treatments, there is a critical need for novel approaches to prevent the spread of this disease. This study not only fills a key gap in medical therapy for epibulbar dermoid, but it also demonstrates AI’s transformational potential in drug development. Employing an AI drug design service, three efficient de novo therapeutic compounds targeting the PTCH1 protein were crafted with Fisetin. The method included obtaining the PTCH1 protein sequence from NCBI, computing physiochemical parameters with Expasy Protparam, and estimating the 3D structure with SWISS-MODEL. Quality assessment, binding site prediction, drug design with WADDAICA, Lipinski’s Rule of 5, toxicity screening, ADMET evaluation, docking analysis with CB-dock and Patch dock, and MD simulations with IMOD all work together to provide an adequate basis for the development and validation of AI-designed phytochemical medicines for epibulbar dermoid. Comprehensive pharmacokinetic and toxicity assessments demonstrated the outstanding absorbency of AI-designed Fisetin in the blood–brain barrier, emphasizing its non-toxic nature. The AI-designed Fisetin exhibits a notable affinity of approximately −9.2 kcal/mol during docking with the PTCH1 protein, suggesting its potential as a drug. While the in silico results indicate efficiency and safety, the necessity for in vivo testing is acknowledged to validate these promising findings. This research significantly advances the frontier of knowledge by proposing a non-invasive solution to epibulbar dermoid, addressing current limitations, and offering potential alternatives to conventional surgical interventions.

Innovation green technology in the age of cybersecurity: Balancing sustainability goals with security concerns

This study explores the critical intersection of cybersecurity measures and green technologies, aiming to assess their combined impact on sustainability goals and stakeholder implications. Employing a systematic literature review methodology, the research scrutinizes peer-reviewed journals, conference proceedings, and reports from reputable databases, focusing on publications from the year 2010 to 2024. The review identifies key themes, including the integration challenges and opportunities of cybersecurity within sustainable technologies, the evolving landscape of cybersecurity protocols, and the strategic implications for industry leaders, policymakers, and technologists. Key insights reveal the dual imperative of pursuing sustainability alongside security, highlighting the necessity of integrating robust cybersecurity measures without compromising the environmental benefits of green technologies. The study identifies significant challenges at this nexus, such as the rapid evolution of cyber threats and the complexity of embedding cybersecurity in green innovations. It also outlines opportunities for innovation and the development of a security-aware culture that supports environmental sustainability. Strategic recommendations are provided for stakeholders to navigate these complexities, emphasizing the importance of multidisciplinary approaches, continuous learning, and the development of policies that encourage the adoption of secure and sustainable technologies. The study concludes that fostering innovation in green technology requires a concerted effort to integrate cybersecurity measures effectively, underscoring the need for future research to expand the knowledge frontiers in this critical area. This research contributes to the ongoing dialogue on achieving environmental sustainability and technological resilience, offering a foundation for further exploration and action towards these dual objectives. Keywords: Cybersecurity, Green Technologies, Sustainable Technological, Stakeholder Security Concerns.

Host skin immunity to arthropod vector bites: from mice to humans

Infections caused by vector-borne pathogens impose a significant burden of morbidity and mortality in a global scale. In their quest for blood, hematophagous arthropods penetrate the host skin and may transmit pathogens by the bite. These pathogens are deposited along with saliva and a complex mixture of vector derived factors. Hematophagous arthopod vectors have evolved a complex array of adaptations to modulate the host immune response at the bite site with the primary goal to improve blood feeding, which have been exploited throughout evolution by these pathogens to enhance infection establishment in the host. While this paradigm has been firmly established in mouse models, comparable data from human studies are scarce. Here we review how the host skin immune response to vector bites in animal models is hijacked by microbes to promote their pathogenesis. We mainly explored four distinct vector-pathogen pairs of global health importance: sand flies and Leishmania parasites, Ixodes scapularis ticks and Borrelia burgdorferi, Aedes aegypti mosquitoes and arboviruses, and Anopheles gambiae mosquitos and Plasmodium parasites. Finally, we outline how critical it is for the field of vector biology to shift from rodent models to clinical studies focused on the interface of vector-pathogen-host immune system to push further the frontiers of knowledge of the field.

Empowering computer science scholarship: the role of Computer Science and Engineering Research

In the ever-evolving landscape of computer science and engineering, staying abreast of the latest advancements is imperative for both researchers and practitioners. As technology continues to permeate every facet of our lives, the need for a dedicated platform to disseminate cutting-edge research becomes increasingly crucial. Enter Computer Science and Engineering Research (CSER), a premier international peer-reviewed journal committed to advancing the frontiers of knowledge in the field. At CSER, we recognize the dynamic nature of computer science and engineering, encompassing a wide array of topics ranging from cyber-physical systems to computational neuroscience. Our mission is clear, to serve as a catalyst for innovation by providing a platform for researchers, practitioners, and industry professionals to share their latest findings, insights, and methodologies. With a diverse scope that includes but is not limited to cyber-physical systems, artificial intelligence, blockchain technologies, and augmented reality, CSER offers a comprehensive perspective on the multifaceted realm of computer science and engineering. By covering such a broad spectrum of topics, we aim to foster interdisciplinary collaboration and drive forward the collective knowledge base of the field.

Inaugural Editorial: Editorial about the Founding of Medinformatics

The convergence of biology and artificial intelligence represents a paradigm shift in scientific exploration. The integration of AI into the study of omics—genomics, proteomics, transcriptomics, metabolomics, and beyond—has revolutionized our ability to decipher the complexities of biological systems. From predictive modeling of gene structures to the elucidation of protein interactions, from the analysis of transcriptomic profiles to the exploration of epigenetic landscapes, AI has become an indispensable tool in the biologist's toolkit. In this journal that focuses on the integration of information and life medicine, we embark on countless journeys of artificial intelligence applications in biomedical fields, focusing on the application of omics analysis in analyzing biological processes or disease occurrence and development. In addition, this journal also focuses on the forefront of interdisciplinary research, with a particular focus on the knowledge and methods of artificial intelligence, mathematics, physics, and other disciplines to solve biomedical problems, enhancing our rational understanding of life and disease. As we founded this magazine, we invited researchers, scholars, and practitioners from different backgrounds to publish cutting-edge biomedical informatics research or join our editorial board. Let us explore the frontiers of knowledge, push the boundaries of innovation, and together, forge a brighter future for biomedical science.

Torn Between Two Worlds: Perceptions of the Role, Status, and Career Progression of Librarians Working in University Libraries

Librarians working in university libraries are torn between the two dominant categories (academic and professional) of university staff. Belonging to either of the categories of staff has implications for the employees' roles and duties, status, and career progression in the academic setting. This study sought to understand the perception of librarians' roles, status, and career progression with the changing frontiers of knowledge and education in contemporary times. Using the qualitative approach, fourteen (14) librarians working in seven university libraries in Ghana were interviewed using a semi-structured interview schedule. These librarians were purposively selected because they possessed the qualifications of practice and were experienced in the academic library setting. The data collected from the interview was transcribed. Using Nvivo software version 14, the researchers used the Reflexive Thematic Analysis method to garner codes and themes from the data to understand the phenomenon under study. The findings from the study showed that librarians perceived their roles and responsibilities of academic librarians to be classified into three dominant categories: research support, teaching, and managerial/administrative roles. Again, academic librarians were assigned to either the academic or professional cadre in their universities based on the university's understanding of the library as a professional or academic unit irrespective of the Librarian's qualification, roles and responsibilities and the changing academic librarianship landscape. The study revealed the challenges librarians working in academic libraries face with their promotion and career progression, including long years of waiting (6 years) to qualify for the promotion, role inconsistencies, stagnation/lack of promotion, the presence of an unclear career path, and the inability to meet promotion requirements due to the lack of time for research, all of which have implications on their job satisfaction leading to demotivation and stress among academic librarians. The findings of this study have practical implications for policymakers in the Library and Information Science (LIS) field, Higher Education Institutions (HEI), and researchers to understand the perception of the roles, status, and career progression of the librarians working in academic libraries in Ghana and to inform policy decisions.

Mapping the emergence of the theme of corruption in the area of corporate governance: a bibliometric review of the literature

Objective: Despite the evident theoretical importance of corporate governance as a mechanism for controlling corrupt practices, as far as we know there are no review articles that relate these themes. In this sense, the objective of this article is to map the emergence and evolution of corruption in the area of corporate governance and present the state of the art and trends in future studies on these topics.
 Method: This article is a bibliometric review, it is a statistical analysis method that provides a quantitative understanding of the academic literature on a given scientific field. The bibliometric techniques used are cocotation analysis and bibliographic matching analysis. In other words, we sought to understand the theoretical roots and identify the frontiers of knowledge.
 Results: In the co-citation analysis, 4 theoretical clusters (theoretical bases) were identified and in the pairing, 6 theoretical clusters (frontiers of knowledge) were identified. It is clear from the graphic mappings that current research (frontiers) has more congruence between the different themes, while the research that forms the theoretical bases is more idiosyncratic.
 Originality/Relevance: As far as we know, this is one of the first articles to store knowledge about corruption in the area of corporate governance and cluster it into theoretical bases and boundaries.
 Theoretical/methodological contributions: The pairing analysis identified the following main topics in vogue: Disclosure of sustainability reports; Institutional Theories; Political connections; Corporate Governance Control Mechanisms; National culture; Foreign investments; Organizational performance; Financial paper; Factors determining bribery; and role of national and international regulatory agencies.