21 June 2024

Chatting about chatbots

Researchers writing in the International Journal of Data Mining, Modelling and Management discuss the evolution and growing academic interest in chatbots, with a special focus on the widely discussed large language model known as ChatGPT. The team has analysed data from Scopus and the Web of Science (WoS) covering the period 1998 to 2023.

The results show remarkable annual growth rates of almost 20 percent in WoS and almost 30 percent in Scopus in the number of publications discussing chatbots. This obvious conclusion is that there is a growing scholarly interest in this kind of artificial intelligence and its use in “conversational” software agents.

Hamed Khosravi, Ahmed Shoyeb Raihan, and Imtiaz Ahmed of West Virginia University in Morgantown, USA, and Mohammad Reza Shafie and Morteza Hajiabadiof the Iran University of Science and Technology in Tehran, explain how chatbots use algorithms trained on natural language databases to mimic human conversation. These AI tools can respond with apparently cogent answers to questions or prompts and are increasingly used in customer service, education, mental health, financial management, and many other areas. Users need to be aware that while the term “intelligence” is used in this context, the software is not inherently intelligent in the conventional sense and can readily generate fanciful or even false information in response to a given prompt. Nevertheless, on the whole, these tools can be very useful in streamlining interactions and precluding the need for human staff to undertake many mundane tasks.

These systems employ natural language processing (NLP), a subset of AI that allows machines to interpret prompts and generate an apparently human response. In the current work, Khosravi and colleagues focus on one of the more well known systems, ChatGPT. This tool uses deep-learning techniques to generate contextually relevant and coherent responses. Its advocates point to its more advanced abilities when compared to the previous generation of chatbots and other AI tools in this area.

In examining the research literature, the team notes that there has been a shift towards areas such as mental health and task analysis and how AI tools might be used in those contexts and what its limitations might be. The way AI is being used now and how that is changing will, of course, affect how development moves.

There is a pressing need to ensure that the tools are not only technologically superior but also ethically sound and contextually aware. The next generation of AI tools may need less human oversight, but there will perhaps always be a need for some human supervision of outputs. This progression could lead to AI applications that provide preliminary medical insights, support clinical decision-making, enhance writing and translation tasks, simulate organizational interactions, and assist in policy formulation.

Khosravi, H., Shafie, M.R., Hajiabadi, M., Raihan, A.S. and Ahmed, I. (2024) ‘Chatbots and ChatGPT: a bibliometric analysis and systematic review of publications in Web of Science and Scopus databases’, Int. J. Data Mining, Modelling and Management, Vol. 16, No. 2, pp.113–147.

20 June 2024

Special issue published: "Dependable Computing"

International Journal of Critical Computer-Based Systems 11(1/2) 2024

  • Algorithm-based fault-tolerant parallel sorting
  • Application of multi-criteria decision-making approach using TOPSIS to identify the vulnerable time zone of earthquake time series signal
  • Refining malware detection with enhanced machine learning algorithms using hyperparameter tuning
  • Conceptual design and implementation of FIDO2 compatible smart medical card for healthcare information system
  • Using the theorem of inaccessibility to assess dependable real-time networks
  • Highly available virtual network functions and services based on checkpointing/restore

International Journal of Hydromechatronics increases CiteScore to 7.6

Inderscience's Editorial Office is pleased to report that the International Journal of Hydromechatronics has increased its Scopus CiteScore from 6.0 to 7.6.

The journal's Editor in Chief, Prof. Liang Yan, said, "This year, IJHM achieved a CiteScore of 7.6, marking a 27% increase. Over the past year, the editorial team has made significant efforts to control manuscript quality, optimise the review process and enhance promotional efforts. Both the editorial board and the young editorial members have dedicated more effort to the journal's development. We sincerely extend our gratitude to our readers and authors for their support. Moving forward, we will continue to strive to make IJHM a better and more influential journal."

Cashing up a new theory of money

In the International Journal of Pluralism and Economics Education, Bas Dommerholt of the Dutch Authority for the Financial Markets in The Netherlands, explores the history of money from the earliest coins and notes to the world of digital “crypto” currencies.

Dommerholt’s analysis of the evolution of money offers a new perspective that diverges from conventional theories. He suggests that the roots of money can be traced back to early agricultural societies. Early farmers kept records of food distributions, and it is these that over the course of prehistory evolved into wage standards. And from there the calculation of production costs and the filling in of balance sheets. Eventually, coins were minted as tokens of these. Coins, often considered the first form of money, emerged as tokens of credit backed by precious metals.

This novel historical narrative has implications for contemporary economic policies, from addressing predatory lending practices to understanding the rise of digital currencies. Dommerholt’s findings suggest that educators could benefit from integrating this perspective to provide students with a more nuanced historical understanding of money.

In Western philosophy, money is a pivotal element, integral to the modern production and distribution of goods and fundamental to the market economy. Despite its importance, the public’s understanding of money remains muddled, partly due to the inadequate representation of money’s history in educational materials. Dommerholt argues for a comprehensive and objective depiction of money in public education with a modern perspective rather than some of the outdated textbook definitions.

Traditionally, it has been believed that money and prices evolved from market transactions involving precious metals. However, the article highlights a critical transition in the nature of money: modern money is no longer based on metals but is an official administrative unit with a market value that floats under governmental control. This shift has profound implications for current policy debates, distinguishing between the traditional and modern understandings of money.

The research builds on chartal theory. This theory suggests that money’s origins actually lie not in markets or material measurements but in government administration and record-keeping. In this theory, money originated from government records of taxes paid in kind. Many educational resources still describe the evolution of money from barter systems and privately owned precious metals, which the evidence suggests is not the case.

The evidence shows that early accounting practices were tied to central institutions responsible for food distribution, with prices evolving from labour cost benchmarks. Coins were introduced later as interest-free notes of credit and backed by precious metals to ensure trust and stability. By fixing the misconceptions about the origins of money, Dommerholt hopes to improve debate and discussion regarding modern lending practices, financial globalization, and digital currencies.

Dommerholt, B. (2023) ‘Revisiting the origin of money: from precious metals to work: alternative pathways on the origin of currency and its impact on modern economics’, Int. J. Pluralism and Economics Education, Vol. 14, Nos. 3/4, pp.219–233.

Free sample articles newly available from International Journal of Nuclear Energy Science and Technology

The following sample articles from the International Journal of Nuclear Energy Science and Technology are now available here for free:
  • Health effect of radon gas in water on children at Al-Najaf schools
  • Preliminary design of ADS for low to medium power output with uranium fuel
  • Xe and Kr extraction for Th-U sustainable ICMSR fuel
  • Determination of radiological hazards due to alpha emitters from ceramic used in Iraq
  • Real-time sub-assembly identification through IMU data fusion with vision sensor for an inspection system
  • Spallation reaction study to improve cross-section measurements of fission products in nuclear waste using Cs-137 on proton or deuteron ranging from 0.1 to 2.4 GeV

19 June 2024

Free sample articles newly available from International Journal of Critical Computer-Based Systems

The following sample articles from the International Journal of Critical Computer-Based Systems are now available here for free:
  • Tuna swarm optimisation-based feature selection and deep multimodal-sequential-hierarchical progressive network for network intrusion detection approach
  • Detection of cyber-attacks for sensor measurement data using supervised machine learning models for modern power grid system
  • Task models for mixed criticality systems - a review
  • An enhanced digital image watermarking technique using DWT-HD-SVD and deep convolutional neural network

Free Open Access article available: "Apple surface defect detection based on lightweight improved YOLOv5s"

The following paper, "Apple surface defect detection based on lightweight improved YOLOv5s" (International Journal of Information and Communication Technology 24(7) 2024), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: From notes to noteworthy – tuning up music education in China - "Application of improved K-means algorithm in the cultivation of creative music talents under the needs of sustainable development and transformation"

Research published in the International Journal of Web Engineering and Technology has looked at how training might be enhanced to help foster innovative musical talent in university education. The work used advanced data analysis techniques with an improved K-means clustering algorithm to help educators identify how they might improve matters in this area.

Peng Li of Beijing Normal University and Zeng Fan of the City University of Macau, China, explain how China has experienced substantial development, leading to major changes in industry and its economic structure. This recent progress has led to greater demands for educational reform that fit society’s needs. The government hopes to develop world-class universities that have distinctive Chinese character and to use technology to assist in this endeavour. As such, data analysis has become important in understanding educational matters.

The team used this data-driven technology to analyse learning outcomes among students on music courses. In their work, the K-means clustering algorithm, known for its efficiency, was assisted by a noise reduction autoencoder, a type of neural network, to improve the results beyond what is commonly possible with just the clustering algorithm. This approach allows them to manage and analyse large data sets.

The results show a disparity between student performance in theoretical and practical music courses. Students generally perform better in theoretical subjects, with a high percentage achieving passing and top scores. In contrast, practical courses such as composition, improvisation, and live performance show lower and more average scores, highlighting a gap between theoretical knowledge and practical skills.

Li and Fan suggest that their findings point to how current curricula, which place a lot of emphasis on theoretical knowledge at the expense of practical skills, might be modified to rectify this imbalance.

Li, P. and Fan, Z. (2024) ‘Application of improved K-means algorithm in the cultivation of creative music talents under the needs of sustainable development and transformation’, Int. J. Web Engineering and Technology, Vol. 19, No. 1, pp.4–19.

International Journal of Information and Computer Security indexed by Clarivate's Emerging Sources Citation Index

Inderscience is pleased to announce that the International Journal of Information and Computer Security has been indexed by Clarivate's Emerging Sources Citation Index.

The journal's Editor in Chief, Associate Prof. Biju Issac, has shared the following statement concerning this achievement:

"The news of IJICS getting indexed in Clarivate's Emerging Sources Citation Index is fantastic. It clearly reflects the quality of the papers published in the journal through rigorous peer review, and I am sure it will attract further high-quality paper submissions. I would especially like to thank the authors, editorial board members and reviewers for their contributions in making this journal successful. I hope the quality of this journal will only get better in the days to come. We will be aiming for a higher impact factor over the next few years."

18 June 2024

Free Open Access article available: "Data analysis of digital teaching resources and interactive behaviour between teachers and students based on K-means algorithm"

The following paper, "Data analysis of digital teaching resources and interactive behaviour between teachers and students based on K-means algorithm" (International Journal of Information and Communication Technology 24(7) 2024), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Prof. Eldon Li appointed as new Editor in Chief of International Journal of Information Systems and Management

Prof. Eldon Li from National Chung Cheng University in Taiwan has been appointed to take over editorship of the International Journal of Information Systems and Management.

Free Open Access article available: "Early warning and decision-making model of geological disaster damage of transmission lines based on intelligent online monitoring technology"

The following paper, "Early warning and decision-making model of geological disaster damage of transmission lines based on intelligent online monitoring technology" (International Journal of Information and Communication Technology 24(7) 2024), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Risky business in Vietnam - "Improving brand security through good brand risk management"

Research in the International Journal of Trade and Global Markets has looked at the role of effective brand risk management in improving brand security across the food and drink industry in Vietnam, specifically in the areas of manufacturing and processing.

Hai-Yen Thi Bui of the Hanoi School of Business and Management at Vietnam National University surveyed more than 400 businesses and found a strong correlation between those companies with strong brand risk management practices and the improvements they saw in three key aspects of brand security: safety, stability, and sustainability. She suggests that the findings show how important such brand strategies are in this sector. Ignoring them could lead to problems with a company’s reputation, reduced customer trust, and ultimately, financial losses.

There has previously been much discussion around enterprise risk management and how it can affect a company’s performance. Some studies have shown it to have an economic benefit and that it leads to a better financial bottom-line. However, others have found it not to have as much effect as imagined.

It is, of course, difficult to get a handle on the intangible, assets such as reputation, trademarks, and corporate culture. These all play into how well a company might do in the market and its competitive edge.

Brand risk management, however, defined as the process of protecting a brand through systematic risk assessment and control, is, this new research suggests, vital. Effective brand risk management can protect a company’s reputation, ensure customer loyalty and trust, and preclude financial losses. By preventing crises and ensuring the brand’s safety, stability, and sustainability, it safeguards brand security.

The research has implications beyond the food and drink sector. It may well apply to businesses across very disparate industries, and so could benefit them in nudging them to adopt similar brand risk management strategies in order to safeguard their company reputation and sustain financial success.

Bui, H-Y.T. (2024) ‘Improving brand security through good brand risk management’, Int. J. Trade and Global Markets, Vol. 19, No. 5, pp.1–20.

17 June 2024

Free Open Access article available: "Research on intelligent teaching curriculum of preschool education majors in universities based on artificial intelligence technology support"

The following paper, "Research on intelligent teaching curriculum of preschool education majors in universities based on artificial intelligence technology support" (International Journal of Information and Communication Technology 24(7) 2024), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from American Journal of Finance and Accounting

The following sample articles from the American Journal of Finance and Accounting are now available here for free:
  • Digital lending in emerging economies: the nexus between financial innovation and consumer protection
  • Intellectual structure, themes and disciplines of credit rating determination by rating agencies - a bibliometric analysis
  • Investor sentiment metrics and stock market returns: a study of the causality relationship using VAR models
  • Citation analysis of audit fee determinants literature

Research pick: Standardising terminology to stop the spread of disease - "Domestication matters: risk analyses necessary to prevent zoonotic pathogen spillover from international wildlife trade are constrained by terminology"

Researchers writing in the International Journal of Risk Assessment and Management, explain how the USA is a major importer of wildlife, bringing into the states a great diversity and quantity of different species. This trade, they caution, has the potential to introduce pathogens into the region, specifically zoonotic pathogens, which cause disease in those many different species, but that might make the leap animal to human. The potential here being that such pathogens, like bird flu, SARS, and COVID-19 before they pose a serious risk of a new pandemic.

Jonathan E. Kolby and Jamie K. Reaser of Smithsonian’s National Zoo & Conservation Biology Institute in Front Royal, Virginia, and William C. Pitt of The American Chestnut Foundation in Asheville, North Carolina explain that current regulatory policies designed to prevent the entry of these pathogens are not in as sound a state as they ought to be. The team discusses how the effectiveness of those policies is hindered by the inconsistent use of terminology. For instance, the phrases “domesticated animals” and “wildlife” are not always used consistently nor with a solid scientific definition between various federal agencies. This, the team suggests, could undermine the integrity of the scientific data being used for zoonotic risk assessment.

Kolby and his colleagues suggest that there is an urgent need to standardize the terms being used based on scientific principles. There is also a need to update the long list of recognized domesticated animals and to then implement species-specific customs codes to improve the accuracy and reliability of data being fed into those zoonotic risk assessments.

Throughout human history, we have come into contact with wild animals carrying disease. On many occasions, those diseases have spread from anima to people. However, in the modern world of international trade and travel, there has for decades been the potential for such diseases to spread globally rather than being confined close to the site of origin. The COVID-19 pandemic is a case in point, with the likely source of the zoonotic pathogen thought to be bats in China. There are other theories about the original vector and animals that may well have acted as carriers prior to the virus making the jump to people.

The human and economic costs of pandemics are immense. Preventive measures are far more cost-effective than dealing with the consequences. Indeed, research shows that the overall costs of blocking the emergence of a pandemic are far less than the economic losses and lives lost once a disease has spread around the world. Effective prevention strategies offer ethical and equity benefits that can safeguard both human and animal lives. As such, risk analysis is a powerful tool for governments to evaluate and prioritize measures to help tackle emerging zoonotic diseases before they become pandemics. Standardising terminology for the sake of the science could be a key part of this defence, the current paper shows.

Kolby, J.E., Pitt, W.C. and Reaser, J.K. (2023) ‘Domestication matters: risk analyses necessary to prevent zoonotic pathogen spillover from international wildlife trade are constrained by terminology’, Int. J. Risk Assessment and Management, Vol. 26, No. 2, pp.95–117.

Free Open Access article available: "From toy-like to intelligent: ARM-based cloud-injected AI companion robot"

The following paper, "From toy-like to intelligent: ARM-based cloud-injected AI companion robot" (International Journal of Information and Communication Technology 24(7) 2024), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Dr. Carlos Alberto Devece Carañana appointed as new Editor in Chief of International Journal of Technoentrepreneurship

Dr. Carlos Alberto Devece Carañana from the Polytechnic University of Valencia in Spain has been appointed to take over editorship of the International Journal of Technoentrepreneurship.

14 June 2024

Free Open Access article available: "Sentiment classification model for student teaching evaluation based on deep learning technology"

The following paper, "Sentiment classification model for student teaching evaluation based on deep learning technology" (International Journal of Information and Communication Technology 24(7) 2024), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Special issue published: "New Challenges and Economic Policy for Emerging Economies in the Age of Intellectual Machines"

International Journal of Economic Policy in Emerging Economies 19(3/4) 2024

  • A new educational model for training digital personnel and intelligent machines: standardisation vs. flexibility
  • Formation and development of digital marketing in a business environment
  • Financial strategy of human development management in emerging economies in the age of intellectual machines
  • Financial measurement of emerging economies' effectiveness in the age of intellectual machines: scientific methodology and policy implications
  • Engineering enterprise cost management policy in a developing real economy
  • Digital personnel in labour market as the basis of creating highly efficient jobs in developing countries in the age of intellectual machines
  • Budgetary stability of territories as a consequence of developing and developed economies of the regions of Russia
  • Models of economic growth of Russia's regions in the age of intellectual machines: technological breakthrough vs. stability and sustainability
  • Marketing model of distribution of intellectual machines as new subjects of socio-economic relations in emerging economies
  • Managing innovations and digitalisation in the age of intellectual machines: challenges for the economic policy in Russian regions
  • Labour mobility in emerging economies: a contribution to provision of employees' competitiveness in the age of intellectual machines
  • Hi-tech production based on intelligent machines in emerging economies in Industry 4.0: a source of new quality of economic growth or a path to socio-economic crisis
  • Industry 4.0 as the vector of industrial development in emerging economies in the age of intellectual machines: a financial aspect
  • Innovative post-industrial development in the age of intellectual machines: experience and perspectives of financing in emerging economies

Free Open Access article available: "Vulnerability analysis of Maritime Silk Road shipping network under port emergencies"

The following paper, "Vulnerability analysis of Maritime Silk Road shipping network under port emergencies" (International Journal of Shipping and Transport Logistics 18(3) 2024), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Prof. Ikou Kaku appointed as new Editor in Chief of Asian Journal of Management Science and Applications

Prof. Ikou Kaku from Tokyo City University in Japan has been appointed to take over editorship of the Asian Journal of Management Science and Applications.

12 June 2024

Free Open Access article available: "Analyses of the principles of legality and justice in administrative proceedings of the Republic of Kazakhstan"

The following paper, "Analyses of the principles of legality and justice in administrative proceedings of the Republic of Kazakhstan" (International Journal of Public Law and Policy 10(5) 2024), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Oil, Gas and Coal Technology

The following sample articles from the International Journal of Oil, Gas and Coal Technology are now available here for free:
  • Estimating coal consumption in Turkey using machine learning methods
  • Evaluating the effect of petroleum price volatility on government revenue in Ghana
  • A comprehensive review on the high-density clear completion fluids for applications in HPHT well completion
  • Numerical simulation of the reservoir and operational parameters to optimise steam flooding performance
  • Influence of relative permeability, capillary pressure, and well orientation in the geological carbon sequestration in a saline aquifer

Special issue published: "Intelligent System Design and Optimisation for Next Generation Smart Applications"

International Journal of Embedded Systems 16(3) 2023

  • Construction of Simulink-CarSim joint simulation platform for distributed drive electric vehicles
  • Design of the control system for preventing automobile accelerator from treading on brake mistakenly based on artificial intelligence technology
  • Design and optimisation strategy of linear traffic spatial dynamic vision guidance system based on multi-source data
  • Application of cloud and fog networks and QoS routing optimisation strategies for low delay
  • Evaluation of hidden danger types of optical channel performance degradation based on machine learning cascading technology
  • Mechanical design and key technology of automatic production line based on artificial intelligence
  • Evaluation and exploration of 3D reconstruction based on real-time embedded system in building mapping and surveying
  • A malicious traffic detection method based on Bayesian meta-learning for few samples

Free sample articles newly available from International Journal of Computational Materials Science and Surface Engineering

The following sample articles from the International Journal of Computational Materials Science and Surface Engineering are now available here for free:
  • A finite element simulation for notch stress intensity factors of sharp center V-notched tensile configuration using strain gauge technique
  • Numerical simulation of SiC crystal growth during physical vapour transport using the lattice Boltzmann - phase field model
  • Improving engine's lubrication based on optimised partial micro-textures
  • Computational and experimental analysis of partly coated hydrophobic airfoil
  • Corrosion estimation of Cu and Br based automotive parts exposed to biodiesel environment: case of RSM and ANN
  • Predicting the tensile behaviour of friction stir welded AA2024 and AA5083 alloy based on artificial neural network and mayfly optimisation algorithm