22 January 2026

Supporting silver surfers at home

Research in the International Journal of Data Science has looked at how network security technologies can be integrated into the redesign of ordinary homes for older adults with a view to improving their quality of life.

The approach could offer an alternative to institutional care for members of an ageing population. The research suggests that conventional housing could be adapted for older residents with a new ethos that overcomes the limitations of earlier approaches. Some of those earlier approaches could not address the complex and evolving risks associated with later-life living.

Home-based care of older people is commonly the preferred choice, but it is often stymied by interiors that were designed for younger, mobile individuals rather than those with reduced mobility, sensory impairment, or cognitive changes. The work suggests that network security systems that protect personal data as well as the interconnected sensors and monitoring systems that manage risk, detect hazards, and respond to changes in a resident’s condition or environment.

The researchers have considered a standard two-bedroom flat and tested an approach that combined a useful setup with intelligent monitoring. The redesigned interior used networked sensors to identify potential dangers, support adaptable layouts, and define functional zones that could change according to daily routines and care needs.

The work highlights how the integration of useful technology into the home can be done so as not to detract from domestic comfort or visual aesthetics, which are also important to quality of life. The modified flat demonstrated how improvements not only in safety but also in usability and overall livability could be undertaken.

The findings have implications for social policy and public finance. Safer, more adaptable homes could allow older adults to remain independent for longer, reducing society’s reliance on residential care facilities. This could thus reduce the pressure on public care budgets and pension schemes. The next step will be to look at other forms of housing and to investigate whether the approach is scalable.

Yu, T. (2025) ‘Design and transformation of the interior space for home-based care for the aged based on network security’, Int. J. Data Science, Vol. 10, No. 7, pp.1–15.

Free sample articles newly available from European Journal of Industrial Engineering

The following sample articles from the European Journal of Industrial Engineering are now available here for free:
  • A hybrid particle swarm optimisation algorithm for multi-resource constrained flexible job shop scheduling problem with transportation
  • Optimising logistics packaging and replenishing policies for deteriorating items in e-commerce environments
  • Two-stage stochastic robust programming based on MOPSSCA for flight crew scheduling problem
  • A sustainable hub location-allocation model considering the inspection of defective wagons in the rail freight network
  • Lagrangian-based solutions for the multi-level production-inventory problem in iron and steel production with reverse logistics
  • A multi-objectives optimisation model for the joint design of statistical process control and engineering process control
  • Pricing and greening strategies in a dual-channel supply chain with government tariffs and cannibalisation under demand uncertainty
  • A multi-period inventory model with price, time and service level dependent demand under preservation technology investment

Free Open Access article available: "Intelligent construction of financial risk management system based on an e-commerce platform under the background of the Internet of Things"

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Free Open Access article available: "Design and transformation of the interior space for home-based care for the aged based on network security"

The following International Journal of Data Science article, "Design and transformation of the interior space for home-based care for the aged based on network security", is freely available for download as an open access article.

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

Open Access issue published by International Journal of Data Science

The International Journal of Data Science has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Design and transformation of the interior space for home-based care for the aged based on network security
  • Intelligent construction of financial risk management system based on an e-commerce platform under the background of the Internet of Things
  • Multilevel grey method for evaluating the exploitation potential of tourism resources based on machine learning
  • Performance evaluation of enterprise blockchain financial sharing centre based on deep learning
  • Green logistics network optimisation and carbon emission reduction using blockchain technology
  • The emergency network public opinion risk identification and early warning model from BP neural network
  • The analysis of image recognition for tourism cultural and creative products visual design based on deep learning
  • Quantitative analysis of the influence of financial technology on enterprise financing structure based on machine learning
  • Design of smart tourism information resource management system based on GIS and big data technology
  • Research on the construction of intelligent outcome-based education platform driven by deep learning
  • Application of intelligent algorithms in precise assessment and effect prediction of rural economic development policies
  • The analysis of customer service quality evaluation of platform based on big data
  • Study on English machine translation based on feature extraction algorithm and big data information technology
  • Design of intelligent management system for tourist attractions based on IoT information technology
  • Construction of implementation system for vocational education targeted training model based on BP neural network under the integration of industry and education
  • Systemic construction of a machine learning-based tourist attraction recommendation model for tourism demand
  • Real time performance prediction in sports using machine learning algorithms

Free Open Access article available: "Three-dimensional facial image modelling and animation generation method integrated with emotion recognition"

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Free Open Access article available: "Application of GCN-based teaching path optimisation for teachers in college education"

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Prof. Chi-Wei Su appointed as new Editor in Chief of International Journal of Financial Markets and Derivatives and International Journal of Environment and Health

Prof. Chi-Wei Su from Qingdao University in China has been appointed to take over editorship of the International Journal of Financial Markets and Derivatives and International Journal of Environment and Health.

21 January 2026

Research pick: …and it’s nano the silver lining! - "Influence of particle size on optical scattering properties of silver nanoparticles"

The interaction of silver materials with light is well-known as the basis of film photography. But, there are much more sophisticated interactions when we consider very, very small particles of silver that could have applications in a wide range of technologies.

Research in the International Journal of Nanoparticles has looked at the behaviour of the tiniest of silver particles, just billionths of a metre in diameter when exposed to light. The behaviour of these silver nanoparticles when exposed to light is different depending on the exact size of the particles.

The team has modelled the absorption, scattering, and quenching of light of different wavelengths with silver nanoparticles from 10 to 240 nanometres in diameter. They found that the smaller nanoparticles primarily absorb light. This could be useful in boosting photothermal effects used in targeted medical therapies for cancer.

By contrast, larger particles, rather than absorbing light, scatter it. This phenomenon might be used to make reflective coatings and solar energy capture devices.

Those particles that are of intermediate size, 40 to 60 nanometres, displayed a third type of behaviour, plasmonic resonance. In this phenomenon, the incident light causes the conducting electrons in the silver to oscillate. This action could be used to detect chemicals in medical or environmental samples, as the presence of chemicals of interest even in very low concentration will change the pattern of these oscillations.

This new understanding of the behaviour of silver nanoparticles could thus open up a range of applications in medicine, biomedical, chemical, and environmental research. The team adds that not all silver nanoparticles are created equal, and this could also be useful in different technologies. For example, silver nanoparticles with complex geometries such as internal layers, like an onion or hollow nanoparticles might behave differently again. Their model could open up the exploration of such complex silver nanoparticles, which might be even more amenable to fine-tuning for specific applications.

Lamsiah, A., Atmani, E.H., Meziane, J., Fazouan, N. and Oumouloud, M. (2026) ‘Influence of particle size on optical scattering properties of silver nanoparticles’, Int. J. Nanoparticles, Vol. 15, No. 5, pp.1–17.

Free sample articles newly available from International Journal of Mathematics in Operational Research

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  • The synthesis of the AHP as a well-posed mathematical problem and matrix norms appropriate for sensitivity analysis via condition number
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  • Fuzzy weak autocatalytic set for decision making and its application to the project manager selection
  • Supplier-retailer-customer trade credit policy for perishables
  • Optimal greening efforts, pricing and inventory strategies for non-instantaneous deteriorating perishable products under price, freshness and green efforts dependent demand with price discount
  • Analysis of batch arrival bulk service priority queue with multiple vacation, close down, setup, differentiate breakdown, and repair

Free Open Access article available: "Student behaviour prediction and learning path optimisation in online education platform based on Dijkstra-ACO"

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Free Open Access article available: "Design and practice of artificial intelligence-driven piano improvisation accompaniment teaching system introduction"

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Free Open Access article available: "Elastic dynamic scheduling algorithm for instant delivery logistics vehicles using multi-objective optimisation techniques"

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20 January 2026

Free Open Access article available: "Abnormal swimming behaviour detection and multi-object tracking based on YOLOv7 and DeepSORT"

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Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Multi-objective micro-milling parameter optimisation and surface prediction via migration learning
  • Abnormal swimming behaviour detection and multi-object tracking based on YOLOv7 and DeepSORT
  • Elastic dynamic scheduling algorithm for instant delivery logistics vehicles using multi-objective optimisation techniques
  • Design and practice of artificial intelligence-driven piano improvisation accompaniment teaching system introduction
  • Student behaviour prediction and learning path optimisation in online education platform based on Dijkstra-ACO
  • Application of GCN-based teaching path optimisation for teachers in college education
  • Three-dimensional facial image modelling and animation generation method integrated with emotion recognition

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  • Computational analysis of high speed super-cavitating projectiles for reduction of hydrodynamic drag using cavitator optimisation

Free Open Access article available: "Multi-objective micro-milling parameter optimisation and surface prediction via migration learning"

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Free Open Access article available: "Edge IoT causal graph neural network for enhancing urban carbon sink accounting accuracy"

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Research pick: I will survive - "Understanding the process of starting up and managing the performance of a refugee enterprise: a critical realist case study"

Entrepreneurial success can emerge through the gradual development of reflexive decision-making rather than linear planning or favourable starting conditions, according to research in the International Journal of Management and Enterprise Development. The research looked at how a business moved from stalled operations to sustained competitiveness by navigating structural constraints in Britain’s health and social care market over more than a decade.

The study follows a single enterprise, a London-based social enterprise founded by an African refugee woman over the course of thirteen years. The research was a longitudinal case study that tracked change over an extended period of time rather than capturing a simple snapshot of activity at a specific time. Moreover, it founded in a critical realist framework, which examined how an individual organisation operates within, and is shaped by, wider social and institutional structures. Central to the analysis is the notion of reflexivity, which is defined as the internal process through which an individual evaluates their circumstances, reassess their goals and adjust their actions in response to changing conditions.

In their case study, the team notes an early period of fractured reflexivity. Social ambition was strong, but strategic focus was limited. This resulted in zero measurable performance outcomes. Progress followed only as the entrepreneur developed autonomous reflexivity, enabling more disciplined decision-making, engagement with local business networks, and ultimately the establishment of operational credibility.

As the enterprise matured, communicative reflexivity became more and more important. Where there was dialogue with public-sector bodies then stats improved and access to competitively funded contracts opened up. Moreover, there was gradual recognition within London’s regulated health and social care system. This later phase coincided with the building of reputation, quality certifications, and even national awards. In turn, these all further supported access to the market.

More recently, the entrepreneur involved has demonstrated what we might call meta-reflexivity, continually evaluating the enterprise’s social mission along with its financial performance. She has reinvested profits into free training programmes for refugee women, embedded social value creation directly into the business model but still maintained commercial viability.

Given that conventional narratives often frame refugee entrepreneurs in terms of barriers and vulnerabilities, this case study demonstrates that refugee entrepreneurship within broader debates on migration, urban economies, and demographic change, can be framed far more positively.

Mutiganda, J.C. (2026) ‘Understanding the process of starting up and managing the performance of a refugee enterprise: a critical realist case study’, Int. J. Management and Enterprise Development, Vol. 25, No. 5, pp.1–17.

Free Open Access article available: "Construction of oral health big data analysis platform and intelligent decision support system"

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  • Method to predict urban heat island hot spots at microscale level based on convolutional neural network land cover
  • Efficiency of environmental regulation oversight in the cement sector: compliance and development within the framework of inspection on government
  • Spatio-temporal dynamics of land use effects on surface temperature in a Mediterranean city: a case study
  • Evaluation of refuse-derived and tyre-derived fuels in cement industry: a study on emission characteristics
  • Experimental study for recovery of heavy metals from contaminated soil using arbuscular mycorrhizal fungi

Free Open Access article available: "Application of knowledge graph-enhanced generative diffusion model for brand visual generation"

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Free Open Access article available: "Tracking domain knowledge in Chinese language education based on graph neural networks"

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19 January 2026

Free Open Access article available: "Intelligent assessment system for singing skills based on time-frequency feature decoupling"

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Free Open Access article available: "Basketball player action optimisation based on deep reinforcement learning: multimodal biomechanical modelling"

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  • Exploring the linkage of international trade and environmental pollution in Asia
  • The moderating role of board gender diversity in the relationship between corporate social responsibility and financial performance: evidence from France
  • The relevance of renewable energy and green innovation in environmental sustainability: evidence from BRICS countries
  • Petroleum subsidies, clean energy transition, and decarbonisation in oil-producing developing countries: what is the role of regulatory quality?
  • Country-wide protests and financial stability

Research pick: Emotion detector - "Face expression classification and recognition based on LBP+GLCM features and attention mechanism in CNN"

A novel facial expression recognition system designed to overcome the conflict between accuracy and real-world use is discussed in the International Journal of Applied Pattern Recognition. The approach performs well while remaining computationally lightweight and addresses one of the main challenges facing emotion-aware technologies for vehicles, consumer devices, and healthcare applications.

Facial expression recognition involves classifying human emotions based on a visual analysis of the face. It has benefited from deep learning technology that use multilayered neural networks to examine an image. But, such technology generally requires a lot of computational power. The new work combines classical image analysis with a streamlined deep-learning architecture that preserves performance while lowering computational requirements.

The team has used a convolutional neural network, a type of model well suited to image processing. And, rather than solely learning from training data, the system uses traditional texture descriptors and grey levels. By combining these well-used computer vision techniques with the neural network outputs that can analyse fine-grained facial detail at low computational cost.

The team has tested their approach using two benchmark data sets, large collections of facial images annotated for emotional content. The system achieved recognition accuracies of almost 80 per cent for one and almost 87 per cent for the other. Real-world type tests on still images, recorded video, and live camera feeds in real time also showed how well the system can perform.

Such work is part of a broad area known as affective computing, the discipline concerned with recognising and responding to human emotion. By showing that hybrid designs can offset the computational resource demands of deep learning, the work opens up the possibility of developing emotion recognition that can be integrated into public infrastructure, mobile devices, and clinical environments for a wide range of applications.

Zhang, X. and Yan, C. (2025) ‘Face expression classification and recognition based on LBP+GLCM features and attention mechanism in CNN’, Int. J. Applied Pattern Recognition, Vol. 8, No. 1, pp.1–15.

Free Open Access article available: "Enhancing accuracy of pragmatic ability tests through multi-feature fusion based on graph neural networks"

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Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Basketball player action optimisation based on deep reinforcement learning: multimodal biomechanical modelling
  • Intelligent assessment system for singing skills based on time-frequency feature decoupling
  • Tracking domain knowledge in Chinese language education based on graph neural networks
  • Application of knowledge graph-enhanced generative diffusion model for brand visual generation
  • Construction of oral health big data analysis platform and intelligent decision support system
  • Edge IoT causal graph neural network for enhancing urban carbon sink accounting accuracy

Free Open Access article available: "Multimodal attentive fusion for emotion recognition model in children's drama"

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Free Open Access article available: "An affective-behavioural fusion framework for proactive student mental health monitoring"

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Free sample articles newly available from International Journal of Mathematical Modelling and Numerical Optimisation

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  • A comparative analysis of Soham and Laplace transforms in solving Volterra integral equations
  • Investigation of the accuracy of an approximate solution of the initial boundary value problem of thermal conductivity with boundary conditions of the third kind
  • Non-polynomial cubic triplet parameter spline scheme for second-order boundary value problem systems
  • Optimising communication and performance in IoT with RabbitMQ: a bulk arrival single server retrial queueing model with multi-phase service

Free Open Access article available: "A reinforcement learning - enabled system for personalised sports training plan generation"

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Free Open Access article available: "Integrating sentiment analysis and deep learning for regional economic risk identification and early warning"

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18 January 2026

Free Open Access article available: "Value-oriented meta-adaptive reinforcement learning for optimising emotional intervention"

The following International Journal of Information and Communication Technology article, "Value-oriented meta-adaptive reinforcement learning for optimising emotional intervention", is freely available for download as an open access article.

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Free Open Access article available: "Tracking the evolution of youth ideological public opinion based on multimodal transformer and SHAP attribution"

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Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Personalised book recommendation model for university libraries based on multi-factor knowledge tracking
  • Tracking the evolution of youth ideological public opinion based on multimodal transformer and SHAP attribution
  • Value-oriented meta-adaptive reinforcement learning for optimising emotional intervention
  • Integrating sentiment analysis and deep learning for regional economic risk identification and early warning
  • A reinforcement learning - enabled system for personalised sports training plan generation
  • An affective-behavioural fusion framework for proactive student mental health monitoring
  • Multimodal attentive fusion for emotion recognition model in children's drama
  • Enhancing accuracy of pragmatic ability tests through multi-feature fusion based on graph neural networks

Free Open Access article available: "Personalised book recommendation model for university libraries based on multi-factor knowledge tracking"

The following International Journal of Information and Communication Technology article, "Personalised book recommendation model for university libraries based on multi-factor knowledge tracking", is freely available for download as an open access article.

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  • An action recognition of track and field athletes based on Gaussian mixture model
  • A systematic literature review and bibliometric analysis of signature verification spanning four decades
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17 January 2026

Free Open Access article available: "Real-time teaching behaviour recognition and ability dynamic evaluation technology based on image sequence mining"

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Free Open Access article available: "Blockchain-based employee performance appraisal and compensation management system: design, implementation, and analysis"

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Free Open Access article available: "Behavioural perception-driven evolutionary pathways for vocational English oral communication: fusing graph convolutional networks with multi-objective optimisation"

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Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Multisource financial data fusion enhanced anomaly transaction detection and early-warning mechanism
  • Personalised cultural creative product design using user profile and personalised data diffusion model
  • A particle swarm optimisation-based deep belief network for traditional Chinese medicine data processing strategies
  • Optimisation of intelligent recognition teaching system for Miao costume patterns integrating YOLOv5
  • Behavioural perception-driven evolutionary pathways for vocational English oral communication: fusing graph convolutional networks with multi-objective optimisation
  • Blockchain-based employee performance appraisal and compensation management system: design, implementation, and analysis
  • Real-time teaching behaviour recognition and ability dynamic evaluation technology based on image sequence mining

16 January 2026

Research pick: Two-way ticket - "Revisiting return migration: literature insights and a bibliometric perspective on emerging global mobility trends"

A review in the International Journal of Business Excellence of half a century of scholarship has found that academic interest in why migrants return to their countries of origin has expanded sharply over the past decade. The review reframes return migration as a central feature of the global circulation of skills, rather than a marginal or corrective movement.

The researchers studied 375 peer-reviewed papers published during the period 1972 to 2022. The work thus offers the most comprehensive mapping to date of how this field of social science has evolved in recent decades. The study used bibliometric analysis, a quantitative method that examines patterns in academic publishing such as citation trends, collaboration networks, and thematic clustering. The analysis revealed a steady growth in output, with publication rates rising particularly quickly after 2010. Total citations increases continuously, but the average citations per article declined from 2015 onwards. The authors suspect that this change was down to rapid diversification and specialisation within the field at that time.

They point out that high-ranking journals in migration studies, business, and management dominated the output, as one might expect. This, they suggest, highlights the relevance of return migration to organisational strategy, economic performance, and institutional governance. Scholarly leadership is concentrated in Canada, Spain, the UK, and the USA, although many papers have international authorship.

The review also shows that the focus in this area of research has changed. In the early years covered by the review, research largely addressed aggregate population movements, demographic change, and macro-level migration flows. However, in the two most recent decades covered, research has moved towards the lived experience of return. Gender emerges as a central analytical category, while education, particularly higher education and international student mobility, form a core thematic pillar. The team believes that this reflects a growing engagement with human capital theory, an economic framework that views education and skills as investments shaping productivity and earnings.

Yadav, M., Kumar, M., Dagar, M., Tiwari, N.K., Pandey, A. and Amoozegar, A. (2025) ‘Revisiting return migration: literature insights and a bibliometric perspective on emerging global mobility trends’, Int. J. Business Excellence, Vol. 37, No. 7, pp.1–26.

Free Open Access article available: "Optimisation of intelligent recognition teaching system for Miao costume patterns integrating YOLOv5"

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Free sample articles newly available from International Journal of Industrial and Systems Engineering

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  • A conceptual human safety system in an industrial shared workspace with a collaborative robot
  • A retailer's inventory model for deteriorating items under power pattern demand with shortages partially backlogged in both crisp and fuzzy environments
  • UPQC with hybrid HBD-SWO optimisation for improving power quality in a grid-connected HRES system
  • Customer satisfaction optimisation in a dynamic closed-loop supply chain under uncertainty
  • Product mix optimisation model for the coconut oil industry

Free Open Access article available: "A particle swarm optimisation-based deep belief network for traditional Chinese medicine data processing strategies"

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Free Open Access article available: "Personalised cultural creative product design using user profile and personalised data diffusion model"

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15 January 2026

Free Open Access article available: "Face expression classification and recognition based on LBP+GLCM features and attention mechanism in CNN"

The following International Journal of Applied Pattern Recognition article, "Face expression classification and recognition based on LBP+GLCM features and attention mechanism in CNN", is freely available for download as an open access article.

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Free Open Access article available: "Hypertension-driven mechano-immune crosstalk related novel genes may be potential targets for IA rupture progression"

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Open Access issue published by International Journal of Economics and Business Research

The International Journal of Economics and Business Research has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Modelling the relationship between bond issuance and firm performance in the dynamic Indian scenario
  • Governance of FinTech Innovations in Islamic banking: the role and challenges of Sharia supervisory boards in the GCC
  • The legal protection of the creative economy: the case of UAE

Free Open Access article available: "The legal protection of the creative economy: the case of UAE"

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Associate Prof. Gorazd Justinek appointed as Dean of DOBA University of Applied Sciences

We are pleased to report that the Governing Board of DOBA University of Applied Sciences (Maribor) has appointed the Editor in Chief of the International Journal of Diplomacy and Economy, Associate Prof. Gorazd Justinek, an expert in international political, economic and business relations, as the new Dean of the Faculty. He assumed the position on 1st January, 2026.

The new Dean brings extensive leadership and professional experience from academia, public administration and international cooperation to the role. Prof. Justinek is a university lecturer and an active researcher, focused on strengthening academic excellence, scientific research work, as well as the further development and innovation for the DOBA University of Applied Sciences and the International Journal of Diplomacy and Economy.

Prof. Ana Cristina Fachinelli appointed as new Editor in Chief of International Journal of Knowledge-Based Development

Prof. Ana Cristina Fachinelli from the Universidade de Caxias do Sul in Brazil has been appointed to take over editorship of the International Journal of Knowledge-Based Development. The departing Editor in Chief, Dr. Daniela Carlucci, will remain involved in the journal in the capacity of Associate Editor.

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The following sample articles from the International Journal of Computational Economics and Econometrics are now available here for free:
  • An optimised CNN-stacked LSTM neural network model for predicting stock market time-series data
  • Disaggregated productivity measurement of industrial firms using the data envelopment analysis method
  • A new approach for independent component analysis and its application for clustering the economic data
  • Application of Bayesian methods in the analysis of dynamic conditional correlation multivariate GARCH models
  • The global inflation cycle and the dollarisation system with the interlink with commodities: an application of the Bayesian network analysis
  • Unpacking customer feedback and brand equity dynamics in the hospitality industry through machine learning techniques
  • Correlations and volatility spillovers across cryptocurrency and stock markets: linking gold, bonds, and FRX
  • Tourism product life cycle dynamics: a computational approach to identifying tourism stages in Italy and Greece
  • Heterogeneous impacts of the COVID-19 pandemic on financial performance among European hotels
  • Minimum wage as the determinant of productivity in EU countries

Free Open Access article available: "Multisource financial data fusion enhanced anomaly transaction detection and early-warning mechanism"

The following International Journal of Information and Communication Technology article, "Multisource financial data fusion enhanced anomaly transaction detection and early-warning mechanism", is freely available for download as an open access article.

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

Research pick: Just because you’re a paranoid android - "Efficient digital forensics in the IoT environment: a hybrid framework using deep-federated learning"

A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of Electronic Security and Digital Forensics. This deep learning-driven system offers benefits over earlier approaches in detecting and reconstructing cyberattacks on components of the vast network of connected sensors, appliances and machines. It achieves an accuracy of almost 98 percent, according to the researchers, and cuts analysis time by more than three quarters.

There has been a sharp rise in malware aimed at IoT environments. Standard digital forensics tools struggle in this space with the volume, diversity, and the enormous and constant flow of data. The researchers suggest that existing methods, built for relatively static computers and servers, are increasingly mismatched to the IoT world. Given that IoT systems now underpin a lot of transport networks, domestic technologies, and urban infrastructure they will be increasingly vulnerable unless security systems can keep up.

At the heart of this new approach is a hybrid deep learning model that combines a convolutional neural network. This can identify patterns in data using its long short-term memory architecture. When applied to IoT network traffic, the system can detect the subtle signatures of a cyberattack as they evolve over time, rather than simply spotting isolated events.

The team has improved performance by refining the detection approach with a so-called particle swarm optimisation. This technique was inspired by collective behaviour in nature, such as starling murmurations, and honeybee swarming. It can dynamically adjust the detection parameters to home in on the optimal approach without heavy increasing computational cost. This is particularly important for protecting IoT devices, many of which operate with limited processing power and low energy budgets.

Tests conducted across simulated vehicle networks, smart homes, and smart city infrastructures showed that the model works better than existing forensic tools. It is faster and more accurate, but also has the ability to trace and classify multiple forms of cyberattack.

Almadud, W. and Al-Shargabi, A.A. (2026) ‘Efficient digital forensics in the IoT environment: a hybrid framework using deep-federated learning‘, Int. J. Electronic Security and Digital Forensics, Vol. 18, No. 7, pp.1-33.

Free Open Access article available: "Efficient digital forensics in the IoT environment: a hybrid framework using deep-federated learning"

The following International Journal of Electronic Security and Digital Forensics article, "Efficient digital forensics in the IoT environment: a hybrid framework using deep-federated learning", is freely available for download as an open access article.

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

14 January 2026

Free Open Access article available: "Governance of FinTech Innovations in Islamic banking: the role and challenges of Sharia supervisory boards in the GCC"

The following International Journal of Economics and Business Research article, "Governance of FinTech Innovations in Islamic banking: the role and challenges of Sharia supervisory boards in the GCC", is freely available for download as an open access article.

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

Free Open Access article available: "Modelling the relationship between bond issuance and firm performance in the dynamic Indian scenario"

The following International Journal of Economics and Business Research article, "Modelling the relationship between bond issuance and firm performance in the dynamic Indian scenario", is freely available for download as an open access article.

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

Research pick: The promise of a roof garden - "Roof garden plant selection and ecological application: comprehensive strategies to deal with environmental pollution"

Urban roof gardens can help with removal of atmospheric pollutants at measurable, controllable rates, according to a study in the International Journal of Environment and Pollution. The research suggests that rather than simply being decorative, recreational features, such gardens can become part of an active and living environmental infrastructure.

The team report that a dynamically managed rooftop system can be established to absorb hazardous fine particulate matter from the cityscape including (PM2.5, airborne particles that are smaller than 2.5 micrometres) at a rate of about 42.5 micrograms per square metre per hour. It can also absorb nitrogen oxides (NOx, toxic combustion gases) at a rate of 15.6 micrograms per square metre per hour.

The work begins to address growing concern that conventional urban greening, typically static plantings designed for visual appeal, has limited capacity to respond to pollution or climate change. More adaptive and responsive planting, on the other hand, to construct layered plant communities in roof gardens could be functional as well as aesthetic. The team suggests that by grouping species together according to their known capacity to absorb different pollutants, it should be possible to address the problem of different contaminants in the same growing patch. They have carried out tests in an environmental chamber and found that such coordinated but mixed planting can be more effective than single-species approaches given the common mix of urban pollution.

The work also demonstrated that by using a lightweight, bioactive growing substrate containing activated carbon (pollutant absorbing) and vermiculite (for aeration and moisture retention), such planting could improve the rate of pollutant mineralisation.

Guo, R. and Xiao, Z. (2025) ‘Roof garden plant selection and ecological application: comprehensive strategies to deal with environmental pollution’, Int. J. Environment and Pollution, Vol. 75, No. 4, pp.338–360.

Free sample articles newly available from EuroMed Journal of Management

The following sample articles from the EuroMed Journal of Management are now available here for free:
  • Role of alliance brand awareness on customer's behavioural response and satisfaction: case of 'sky team' global airline alliance
  • Leadership and management of change: introduction to navigating organisational change
  • Human resource management and knowledge management
  • Streaming wars: an analysis of the growth and competitive landscape of the subscription video-on-demand services market
  • COVID-19 stress and employee performance: the mediating effect of counterproductive behaviour

Free Open Access article available: "Revisiting return migration: literature insights and a bibliometric perspective on emerging global mobility trends"

The following International Journal of Business Excellence article, "Revisiting return migration: literature insights and a bibliometric perspective on emerging global mobility trends", is freely available for download as an open access article.

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

13 January 2026

Free Open Access article available: "Latent profiles of computational thinking in first-year university students in Peru"

The following International Journal of Technology Enhanced Learning article, "Latent profiles of computational thinking in first-year university students in Peru", 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 Services and Operations Management

The following sample articles from the International Journal of Services and Operations Management are now available here for free:
  • Supply chain in the wake of COVID-19 - a bibliometric and content analysis
  • The impact of e-insurance on profitability: the mediating role of competitive advantage and agility
  • Redesigning human vaccines supply chain network post-COVID-19 pandemic: a case study of Iran
  • Psychological factors influencing the adoption of three-wheeler electric vehicles: a study on users in India
  • Industry 4.0 maturity model: an assessment in manufacturing enterprises
  • Global financial services and its related technology usage

Free Open Access article available: "Industrial chain technology paths and economic feasibility of agricultural waste resource utilisation"

The following International Journal of Environment and Pollution article, "Industrial chain technology paths and economic feasibility of agricultural waste resource utilisation", is freely available for download as an open access article.

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

Research pick: Integrated lasso loops in aneurysm risk data - "Hypertension-driven mechano-immune crosstalk related novel genes may be potential targets for IA rupture progression"

A set of indicators, natural chemicals found in the blood, known as biomarkers, can help predict when an aneurysm in the brain might rupture. The work, published in the International Journal of Data Mining and Bioinformatics, looks at the risk of rupture associated with the ballooning out of a weakened blood vessel in the brain, that can lead to catastrophic bleeding. By analysing genetic data from three groups of patients, the team has identified characteristics associated with increased instability of an aneurysm.

The researchers used genetic profiling to look at activity associated with stable and ruptured aneurysms, as well as interactions between proteins that were linked to the latter and not the former. Across all the data, they found two interactions that were active in aneurysms prone to rupture. Then, by using machine learning techniques, specifically Least Absolute Shrinkage and Selection Operator (LASSO) regression, they were able to develop a prediction curve that gives a patient rupture risk based on the presence of the biomarkers.

The findings highlight an underlying mechanism that links chronically raised elevated blood pressure, hypertension, and inflammation in the vasculature of the brain. Hypertension puts mechanical strain on the walls of the blood vessels, while, at the same, activating a hormone-driven regulator of blood pressure, known as the local renin-angiotensin system. This system triggers inflammation and can weaken blood vessels. The research suggests that those genes associated with these biological systems come together to increase a person’s risk of a ruptured aneurysm. As such, they also now become targets for the development of novel therapies that are aimed at reducing mechanical stress in the brain’s blood vessels as well as lowering local inflammation.

This new understanding might improve the medical outcome for at-risk patients as well as precluding unnecessary medical intervention for those at lower risk who happen to have other risk factors. Given the prevalence of intracranial aneurysms and the high morbidity associated with rupture, such strategies could shift management from reactive emergency treatment to proactive, targeted prevention.

Liu, J-Y., Yuan, J., Luo, L. and Yin, X. (2026) ‘Hypertension-driven mechano-immune crosstalk related novel genes may be potential targets for IA rupture progression’, Int. J. Data Mining and Bioinformatics, Vol. 30, No. 5, pp.1–14.

Free Open Access article available: "Roof garden plant selection and ecological application: comprehensive strategies to deal with environmental pollution"

The following International Journal of Environment and Pollution article, "Roof garden plant selection and ecological application: comprehensive strategies to deal with environmental pollution", is freely available for download as an open access article.

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

12 January 2026

Free Open Access article available: "Combating illegal sand pumping: enforcement challenges and policy mechanisms in Taiwan's EEZ"

The following International Journal of Environment and Pollution article, "Combating illegal sand pumping: enforcement challenges and policy mechanisms in Taiwan's EEZ", 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 Productivity and Quality Management

The following sample articles from the International Journal of Productivity and Quality Management are now available here for free:
  • Furniture industry and handicrafts: what possible integration of production processes? Experiential profiles from Italy
  • Analysis of efficiency productivity and competitiveness in organisations
  • Comprehending the deployment intention of Lean Six Sigma in healthcare: the moderating role of change management
  • Software effort estimation using cascade neural network optimised based on modified particle swarm optimisation (MPSO-CNN)
  • Complaints management: quality of response to customer complaints in an automotive company
  • Productivity of women self-help groups through quality training and capacity building

Research pick: The heat is on - "Predicting the cooling capacity of green buildings using probabilistic neural network models"

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This kind of control will be a key factor in energy efficiency, allowing interior climate control systems to optimise cooling periods and so reduce energy demands.

The framework for the new model is based on a probabilistic neural network (PNN), which has been tested across varied climatic conditions. According to the research published in the International Journal of Environment and Pollution, it delivers accurate forecasts and quantifies the uncertainty in a way that conventional models do not.

Cooling systems account for a substantial proportion of a building’s energy consumption in the hottest parts of the world. Their operation is dependent on outside temperature, humidity, building characteristics, and occupant behaviour. The standard control models usually assume linear relationships and so cannot capture the nonlinear dynamics of climatic variability and requirements. The PNN approach overcomes this problem by modelling the nonlinear relationships. This allows the system to understand the intricacies of the building-specific data and to provide better predictions to optimise climate control. The team was able to demonstrate almost 97 percent reliable control across various scenarios.

Such a system could be used by policymakers, developers, and energy managers hoping to optimise cooling in hot climates and to reduce the carbon footprint of air-conditioning systems. By providing a more subtle understanding of cooling load variability, the PNN allows for accurate data-driven decisions regarding system design, operational scheduling, and regulatory compliance. The team explains that plans can be put in place for both typical and extreme conditions with greater assurance, reducing energy waste while maintaining occupant comfort.

The same framework might have broader energy management use, allowing for short-term control as well as long-term planning of infrastructure in low-carbon developments. The construction industry must incorporate green systems, and such tools as PNN-managed climate control could play an important role in the development of sustainable buildings.

Zheng, H. and Wang, P. (2025) ‘Predicting the cooling capacity of green buildings using probabilistic neural network models’, Int. J. Environment and Pollution, Vol. 75, No. 4, pp.261–279.

Free Open Access article available: "Dynamic process mechanism of empowering carbon peak and carbon neutrality in architectural interior design based on digital technology"

The following International Journal of Environment and Pollution article, "Dynamic process mechanism of empowering carbon peak and carbon neutrality in architectural interior design based on digital technology", 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 Communication Networks and Distributed Systems

The following sample articles from the International Journal of Communication Networks and Distributed Systems are now available here for free:
  • Addressing escalating threats: a secret image sharing scheme with adjustable threshold resilience against external adversaries and colluding participants
  • The intelligent object detection framework for detecting fish from underwater images
  • Network-aware cache provisioning and request routing in heterogeneous cellular networks
  • An efficient attack detection approach for software defined Internet of Things using Jaya optimisation based feature selection technique
  • A hybrid zone-based routing protocol based on ZRP and DSR for emergency applications

11 January 2026

Free Open Access article available: "New algorithm for numerical simulation of beach evolution under extreme weather and neural network optimisation prediction model"

The following International Journal of Environment and Pollution article, "New algorithm for numerical simulation of beach evolution under extreme weather and neural network optimisation prediction model", is freely available for download as an open access article.

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

Free Open Access article available: "Predicting the cooling capacity of green buildings using probabilistic neural network models"

The following International Journal of Environment and Pollution article, "Predicting the cooling capacity of green buildings using probabilistic neural network models", 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 Business Excellence

The following sample articles from the International Journal of Business Excellence are now available here for free:
  • Digital human resource management: a precursor for workforce agility
  • Excellence in hotel businesses: the case of a European quality award-winning hotel
  • Developing bank service quality model for modern Indian banks
  • Internet banking in Indonesia: website usability, service quality, customer satisfaction, trust, and loyalty
  • Factors affecting SMEs entrepreneurship development: a study on northern region of Bangladesh
  • Adapting appreciative inquiry for agile higher education institute

Open Access issue published by International Journal of Environment and Pollution

The International Journal of Environment and Pollution has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Predicting the cooling capacity of green buildings using probabilistic neural network models
  • New algorithm for numerical simulation of beach evolution under extreme weather and neural network optimisation prediction model
  • Dynamic process mechanism of empowering carbon peak and carbon neutrality in architectural interior design based on digital technology
  • Combating illegal sand pumping: enforcement challenges and policy mechanisms in Taiwan's EEZ
  • Roof garden plant selection and ecological application: comprehensive strategies to deal with environmental pollution
  • Industrial chain technology paths and economic feasibility of agricultural waste resource utilisation

Free sample articles newly available from International Journal of Operational Research

The following sample articles from the International Journal of Operational Research are now available here for free:
  • An integrated systematic layout planning, analytical hierarchy process and nonlinear programming approach to facility layout design
  • On solving game problem using octagonal neutrosophic fuzzy number
  • A novel technique for solving bi-level linear fractional programming problems with fuzzy interval coefficients
  • MSTL: a seasonal-trend decomposition algorithm for time series with multiple seasonal patterns
  • Development of two-shop inventory model with multi-variate demand and screening errors under controllable carbon emission
  • Analysis of (MAP, PH)/(PH, PH)/1 retrial queueing model with standby server, collision of orbital customers, breakdowns, two-way communication, phase type repairs, constant retrial rate and impatient behaviour of customers

10 January 2026

Free Open Access article available: "A radial basis function neural network algorithm based on quantum controlled NOT gate and orthogonal least squares theory"

The following International Journal of Information and Communication Technology article, "A radial basis function neural network algorithm based on quantum controlled NOT gate and orthogonal least squares theory", 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 Process Management and Benchmarking

The following sample articles from the International Journal of Process Management and Benchmarking are now available here for free:
  • Waste analysis on the production floor and proposed improvements using a lean manufacturing approach aluminium manufacturing company in East Java, Indonesia
  • A copula-based analysis for examining and enhancing performance of serial system
  • Facility layout for flexible manufacturing system using genetic algorithm
  • Managerial and environmental factors affecting small and medium enterprises: an empirical study in India
  • Mapping the work-life balance research landscape in higher education: science mapping and thematic clustering
  • Modelling of RFID-enables jewellery hallmark transparency attributes inter-relationship and ranking performance criterion in supply chain responsiveness: using ISM-AHP approach
  • Pecking order approach vs. trade-off approach: multifaceted testing of appropriateness for the financing pattern of Indian automobile industry

Free Open Access article available: "Advancement in electromechanical systems for innovative product design"

The following International Journal of Information and Communication Technology article, "Advancement in electromechanical systems for innovative product design", is freely available for download as an open access article.

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

Free Open Access article available: "Integrating artificial intelligence and the internet of things for smart laboratory engineering construction and management team optimisation"

The following International Journal of Information and Communication Technology article, "Integrating artificial intelligence and the internet of things for smart laboratory engineering construction and management team optimisation", 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 Management Concepts and Philosophy

The following sample articles from the International Journal of Management Concepts and Philosophy are now available here for free:
  • The road to organisational populism
  • Towards conceptualisation of low-carbon supply chain
  • Examining the relationship between working capital management and firm performance: a state-of-the-art literature review and visualisation analysis
  • Underestimation or overestimation: what makes the social communication attach or detach the sustainable development with the role of perceived cost?
  • The role of leadership values and communication in the process of change towards sustainability: a qualitative research paper
  • Impact of corporate social responsibility on customer satisfaction: a case study of e-commerce fast fashion industry

9 January 2026

Research pick: Looking for a nappy ending - "Analysis of municipal waste and management of baby nappies and sanitary napkins in the Slovak Republic"

Diapers (nappies) and feminine hygiene products (menstrual pads and tampons) are emerging as a critical challenge in the waste management. They account for a disproportionate share of municipal waste, according to work in the International Journal of Sustainable Society.

An analysis conducted across 31 Slovak cities showed that these products alone make up 10% of total mixed waste in both urban and rural settings. There have been recent efforts to improve waste reduction and recycling. However, addressing the environmental impact of this waste stream remains a significant challenge in the Slovak Republic and elsewhere and is hindering sustainability efforts in many places.

The research points out that diapers and sanitary products, though comprising a substantial propportion of waste, are not covered by current waste legislation. These items, primarily comprising plastics and superabsorbent polymers as well as biological materials after use, represent a major problem in recycling and are generally fed into landfill or incinerated rather than being recycled in most places.

While their contents after use will degrade biologically, the materials from which they are manufactured might take centuries to decompose in landfills. While the global market produces billions of units annually, the lack of regulation and effective recycling for these products exacerbates the waste management issues, especially in the Slovak Republic, where recycling rates overall are below EU averages.

The study points to potential solutions, including composting, which has been shown to reduce the volume of diaper waste. However, these methods are limited by the non-biodegradable materials involved. Emerging technologies, such as vermicomposting and thermal pyrolysis, offer promising alternatives by recycling used diapers into usable materials. However, these technologies require proper infrastructure and legislative support to be fully effective.

Peterkova, V., Ilko, I., Martincova, R. and Preinerova, K. (2025) ‘Analysis of municipal waste and management of baby nappies and sanitary napkins in the Slovak Republic’, Int. J. Sustainable Society, Vol. 17, No. 4, pp.355–369.

Free sample articles newly available from International Journal of Materials Engineering Innovation

The following sample articles from the International Journal of Materials Engineering Innovation are now available here for free:
  • A comprehensive study on the tribological and mechanical behaviour of aluminium: SiC composites using Taguchi technique
  • Effect of N2 plasma treatment on TiO2 thin films for photocatalysis application
  • The potential use of fibres derived from wild Abyssinia bananas in reinforcing polymer composites
  • Investigation of sustainable production opportunity in fabrication of hybrid aluminium metal matrix composites by powder metallurgy technique
  • 3D printed cellulose nanofibre-PLA nanocomposites: experimental investigations and multi-objective optimisation
  • Experimental investigation of the effect of micro-arc oxidation coating on Al-5456 alloy

Free sample articles newly available from International Journal of Global Energy Issues

The following sample articles from the International Journal of Global Energy Issues are now available here for free:
  • Implementation plan and impact of natural gas pipeline network transformation from volume metering to energy metering in China
  • Prioritisation for electric utility expansion scenarios in Maharashtra, India, using analytical hierarchical approach
  • Evaluating the dynamic effect of oil and exchange rate on food prices: a fresh insight from OECD countries using panel ARDL estimation
  • Trade-offs between energy, the economy, amenity, and education: findings from Indonesia
  • A case for replacing local generators by a service using only renewable energy sources in the city of Sulaymaniyah
  • Energy technology efficiency influence on energy poverty and energy justice in West African households
  • Industry 4.0: the transformation of management systems and influence tools
  • Military and economic prerequisites for transforming the energy supply of the housing sector of Ukraine based on Industry 3.0
  • The impact of innovations and intellectualisation on sustainable national development
  • Economic and environmental drivers of physical safety in Central Europe
  • Energy consumption and climate change in Sub-Saharan Africa (SSA)

Free Open Access article available: "Digitalising the sales process for e-commerce warehouse services at a logistics service provider"

The following International Journal of Logistics Systems and Management article, "Digitalising the sales process for e-commerce warehouse services at a logistics service provider", 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 Computational Science and Engineering

The following sample articles from the International Journal of Computational Science and Engineering are now available here for free:
  • A food safety traceability system based on trusted double chain
  • Robust link-assessment-based approach for detection and isolation of blackhole attacker in resource constraint internet of things
  • Development of a sorting system for mango fruit varieties using convolutional neural network
  • Behaviour recognition system of underground drilling operators based on MA-STGCN
  • Black widow optimisation with deep learning-based feature fusion model for remote sensing image analysis
  • Feature selection using Tasmanian devil optimisation algorithm for software fault prediction
  • A new binary tagging-based model integrated with unsupervised tree hierarchy for relational triple extraction
  • A predictive model based on the LSTM technique for the maintenance of railway track system
  • A novel fertility intention prediction scheme based on Naive Bayes

8 January 2026

Free Open Access article available: "Unlocking the potential of generative artificial intelligence: adoption drivers and organisational performance"

The following International Journal of Business Innovation and Research article, "Unlocking the potential of generative artificial intelligence: adoption drivers and organisational performance", 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 Applied Pattern Recognition

The following sample articles from the International Journal of Applied Pattern Recognition are now available here for free:
  • The speech emotion recognition in multi-languages using an ensemble deep learning-based technique
  • Document image binarisation: an overview and a practical comparison study
  • COVID-19's X-ray images classification: training from scratch or transfer learning?
  • LSTM-based electroencephalography analysis for sleep disorder subjects
  • An effectual multiscale feature extraction in integer wavelet transform domain for illumination invariable face recognition

Free Open Access article available: "Causal transformer and counterfactual reasoning: deconstruction analysis of the impact of teaching strategies on academic achievement"

The following International Journal of Computational Systems Engineering article, "Causal transformer and counterfactual reasoning: deconstruction analysis of the impact of teaching strategies on academic achievement", is freely available for download as an open access article.

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

Research pick: Securing systems against the subtle but sinister - "Multidimensional covert traffic attack detection via coupled spatio-temporal transformer and causal convolutional networks"

The modern network is a place where danger whispers rather than shouts. Corporate systems, public services, and critical infrastructure are increasingly complex and increasingly vulnerable to more subtle cyberattack. Where an old-school hacker might try brute-force techniques or an army of bots that pound the system until it breaks, modern threats can work more insidiously. They might masquerade as ordinary server traffic, draining resources or slowly siphoning off data, while the anti-malware systems and firewalls are focused on the brutes.

New intrusion-detection models are needed, according to the author of work published in the International Journal of Reasoning-based Intelligent Systems. While it is generally easy to hear the alarm bells ringing when the brutes are pounding the servers, the sinister-but-subtle attackers need a different approach, one that listens out for the whispers.

In the work, a new model, called ST-CCNet, promises this kind of protection. In tests against standard benchmarks, it accurately – 98.2 percent – identified covert attacks better than existing approaches. More specifically, it was able to spot low-rate distributed denial-of-service (dDOS) attacks, botnet activity, and subtle web intrusions that had been designed to look like legitimate behaviour. The model can now detect slow-burn attacks that exhaust server capacity over long periods, or threats that unfold over weeks or months. Such attacks have long been the nemesis of network security systems.

One part of the ST-CCNet system uses causal convolution to analyse traffic in temporal order, capturing tiny, momentary deviations that may appear only for microseconds but can mark the opening move of an attack. In parallel with this, a spatio-temporal transformer scans across much longer timescales, identifying patterns that only become meaningful when viewed in context, such as the rhythmic exchanges between compromised machines and their controllers.

This balanced approach addresses the shortcomings of conventional security. By combining short-term acuity with long-term memory, ST-CCNet aligns with the way real sinister-but-subtle attacks operate.

Chi, W. (2025) ‘Multidimensional covert traffic attack detection via coupled spatio-temporal transformer and causal convolutional networks’, Int. J. Reasoning-based Intelligent Systems, Vol. 17, No. 12, pp.35–44.

Free sample articles newly available from International Journal of Logistics Systems and Management

The following sample articles from the International Journal of Logistics Systems and Management are now available here for free:
  • Logistics service quality satisfaction and impacts on financial performance
  • The optimal location of the wireless charging infrastructure for electric vehicles with heterogeneous batteries in the highway
  • Development and application of a cost-driven decision model for store replenishment logistics in the fast-food sector
  • A two-echelon sustainable supply chain model for third-party logistics and warehouse financing using multi factor-dependent demand under revenue sharing and consumer segmentation
  • An innovative method to solve classic and dynamic multi-depot vehicle routing problem
  • Designing a closed-loop supply chain network with a focus on the circular economy concept

7 January 2026

Free Open Access article available: "Empowering elderly-centric smart home control via multimodal interaction: designing for enhanced user experience"

The following International Journal of Information and Communication Technology article, "Empowering elderly-centric smart home control via multimodal interaction: designing for enhanced user experience", is freely available for download as an open access article.

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

Free Open Access article available: "A fine-tuned YOLOv11-based insulator icing detection algorithm for intelligent inspections of power systems"

The following International Journal of Information and Communication Technology article, "A fine-tuned YOLOv11-based insulator icing detection algorithm for intelligent inspections of power systems", is freely available for download as an open access article.

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

Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • A fine-tuned YOLOv11-based insulator icing detection algorithm for intelligent inspections of power systems
  • Empowering elderly-centric smart home control via multimodal interaction: designing for enhanced user experience
  • Integrating artificial intelligence and the internet of things for smart laboratory engineering construction and management team optimisation
  • Advancement in electromechanical systems for innovative product design
  • A radial basis function neural network algorithm based on quantum controlled NOT gate and orthogonal least squares theory

Research pick: Bless the MSMEs down in Africa - "Examining the inhibiting factors of sustainable entrepreneurship: evidence from emerging economies"

Sustainable entrepreneurship in Nigeria is being stymied by a lack of engagement among business owners because of structural economic and institutional barriers, according to research in the World Review of Entrepreneurship, Management and Sustainable Development that has studied one of Africa’s largest entrepreneurial ecosystems.

The research used quantitative data from 310 entrepreneurs across manufacturing, sales, and food services. An analysis of this data showed that unstable macroeconomic conditions, limited access to finance, weak technological infrastructure, and inconsistent government support are the main barriers faced by entrepreneurs hoping to adopt environmentally responsible business practices. Moreover, they found that many entrepreneurs operate under conditions in which immediate cash-flow pressures outweigh long-term environmental considerations. The result is that sustainability initiatives are difficult to get underway and even harder to maintain.

Entrepreneurs in Nigeria, the study found, are somewhat aware of sustainability principles, but currency volatility, high inflation, and unreliable public services restrain action. The researchers add that access to affordable credit remains limited, particularly for micro, small and medium-sized enterprises (MSMEs). Such companies with fewer than 250 employees form the backbone of the Nigerian economy. Without financial buffers or capital, investments in cleaner technologies or resource-efficient processes are often postponed indefinitely. There is thus an urgent need to improve conditions for entrepreneurs to encourage those that are less than willing to engage that there are long-term benefits, and to nudge the more engaged further towards sustainability. Regulatory incentives and green technologies that have remained largely inaccessible to smaller companies need to be opened up to Nigeria’s MSMEs.

There are obvious implications for other emerging economies facing similar constraints, which also risk missing out on the economic, environmental, and social benefits associated with sustainable enterprise. There is a need to align financial systems, policy instruments, and educational initiatives with sustainability objectives across the whole of the developing world, the research would suggest.

Ogbolu, G., Adelaja, A.A. Ohanagorom, M.I. and Shwedeh, F. (2025) ‘Examining the inhibiting factors of sustainable entrepreneurship: evidence from emerging economies’, World Review of Entrepreneurship, Management and Sustainable Development, Vol. 21, No. 6, pp.1–26.

Free sample articles newly available from International Journal of Data Mining and Bioinformatics

The following sample articles from the International Journal of Data Mining and Bioinformatics are now available here for free:
  • Dual pipeline technique for detecting sepsis from photoplethysmography
  • Enhancing drug-drug interaction event prediction from knowledge graphs by multimodal deep neural networks
  • Plasma proteins related to the state of depression: a case-control study based on proteomics data of pregnant women
  • Metaheuristic gene regulatory networks inference using discrete crow search algorithm and quantitative association rules
  • A novel intelligent-based intrusion detection and prevention system in the cloud using deep learning with meta-heuristic strategy

6 January 2026

Free Open Access article available: "6DoF Stewart motion platform control using switchable model predictive control"

The following International Journal of Modelling, Identification and Control article, "6DoF Stewart motion platform control using switchable model predictive control", is freely available for download as an open access article.

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

Free Open Access article available: "Detection method of abnormal vibration state of electrical equipment based on random forest"

The following International Journal of Modelling, Identification and Control article, "Detection method of abnormal vibration state of electrical equipment based on random forest", is freely available for download as an open access article.

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

Free Open Access article available: "Variable frequency speed control method for wheeled grain harvester based on fuzzy control theory"

The following International Journal of Modelling, Identification and Control article, "Variable frequency speed control method for wheeled grain harvester based on fuzzy control theory", is freely available for download as an open access article.

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

Research pick: How does your garden grow? - "Spatial layout design of garden landscapes based on a hybrid metaheuristic optimisation algorithm"

The future of urban green space might be written in code, according to research in the International Journal of Reasoning-based Intelligent Systems. The age-old image of the landscape architect, sketchbook in hand, guided by intuition and a feel for the land, is being dug over by digital disruption. The work suggests that for city and town planners facing increasingly dense populations and the problems that climate change brings, the art of urban garden design needs reseeding with modern tools to fertilise new ideas.

Urban green spaces are now recognised as increasingly important for the recreation, enjoyment, and wellbeing of city dwellers, Moreover, such as spaces and in particular the protective effects of trees during scorching summers and the atmospheric cleansing they bring are no longer an aesthetic luxury but an essential part of the modern cityscape. The concrete jungle needs to go green, and an algorithmic augmentation of human intuition can help balance the competing pressures in landscaping our urban spaces.

The researchers talk of “landscape optimization” wherein a green space or garden is not simply a canvas on which to paint trees, lawns and shrubberies, but a complex data problem that can be more effectively solved algorithmically without compromising art nor beauty. The team merging aesthetics and ecology reframe the problem into a “rationality index” which considers the terrain profile, soil health, and the local climate to provide the computer with a unified metric it can interpret and from which it can provide novel design solutions using various algorithms based on natural systems such as honeybee behaviour and ant colonies.

In preliminary tests, the team found that their hybrid algorithmic approach worked better than conventional methods used to calculate land-use efficiency. They emphasise that by treating landscape design as an optimizable process, city planners can produce evidence-based layouts that are reproducible, resilient, and reliable. While the immediate focus is on gardens, the implications for wider urban planning are significant. As public authorities face mounting pressure to meet sustainability targets, the “intuition” of the past may soon give way to the “optimization” of the future.

Cheng, Y., Guo, L., Ao, S. and Wu, W. (2025) ‘Spatial layout design of garden landscapes based on a hybrid metaheuristic optimisation algorithm’, Int. J. Reasoning-based Intelligent Systems, Vol. 17, No. 12, pp.13–23.

Free sample articles newly available from International Journal of Business Innovation and Research

The following sample articles from the International Journal of Business Innovation and Research are now available here for free:
  • Entrepreneurial orientation and financial performance among MSMEs in Nigeria
  • Organisational learning capacity impacting innovation performance of firms
  • Positive affect and normative evaluation as mediators in the impulsiveness and Gen-Y impulse purchase urges
  • Measuring quality service: the use of fuzzy Kano model as an input for TOPSIS
  • Dimensions of e-banking and the mediating role of customer satisfaction: a structural equation model approach
  • ARIMA modelling of weighted average lending rates of Indian scheduled commercial banks and estimation of VaR: implications on asset-liability management
  • Development of start-ups risk assessment framework during COVID-19 era

5 January 2026

Free Open Access article available: "An intelligent distribution network source grid load storage optimisation scheduling based on improved ant lion algorithm"

The following International Journal of Modelling, Identification and Control article, "An intelligent distribution network source grid load storage optimisation scheduling based on improved ant lion algorithm", 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 Business Information Systems

The following sample articles from the International Journal of Business Information Systems are now available here for free:
  • Factors influencing online purchase decisions of pharmaceutical products by baby boomers: mediating effect of consumer behaviour and attitude on trust development
  • The turnover intention of young employees in the IT industry
  • The contribution of data visualisation tools towards better customer relationship management
  • Modelling intended product demand in fashion retail using IoT and AI
  • Effect of intellectual capital and information system capability on effective strategic decision making to achieve financial performance
  • Return on investment-based suitability assessment model for cloud migration