Free 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 study on compensation for voltage unbalance in distribution transformer areas considering three-phase load imbalance using hybrid PV-ESS inverters
• Student mental health assessment based on social sentiment analysis and multi-branch neural networks
• A generative adversarial error correction system for English writing
• Optimising English translation vocabulary selection based on corpus statistics and probabilistic modelling
• Multimodal generative adversarial networks for dynamic mitigation of foreign language anxiety

Research pick: Encryption and intrusion detection close to the edge - "Dual-modal system for real-time encryption and anomaly detection of 5G communication data integrating AES-GCM and LSTM"

Research into 5G cellular network security suggests that we need to unify encryption and intrusion detection to better protect those networks rather than treating encryption and detection as separate processes. The research in the International Journal of Information and Communication Technology focuses on the demands of 5G networks, which offer high data speeds, very low latency, and massive device connectivity. These capabilities allow us to use sophisticated mobile applications and have autonomous vehicles, smart cities, and industrial automation. But they come at a cost of increased exposure to fast-changing security threats from malware and malicious third parties.

The researchers have identified a structural limitation in conventional security design. Encryption typically protects data confidentiality, while intrusion detection systems independently monitor network traffic for malicious behaviour. In high-speed 5G environments, this separation can introduce delays and reduce the system’s ability to respond to attacks in real time.

To address this, the researchers have developed a dual-modal architecture that combines AES-GCM with a Long Short-Term Memory (LSTM) neural network. AES-GCM is a symmetric encryption method that scrambles data to prevent unauthorised access while also verifying that information has not been altered during transmission. The LSTM component is a type of deep learning model designed to analyse sequences of data over time, allowing it to identify patterns in network traffic and detect anomalies.

The system integrates these functions so that encryption and anomaly detection operate in parallel. Data is secured while being continuously monitored, rather than processed in separate stages. According to the researchers, this combined approach offers a detection accuracy of 98.1% and a false positive rate of just 0.5%, meaning it rarely mislabels normal activity as malicious. Encryption and decryption times are reported at 18.4 milliseconds and 21.7 milliseconds, respectively, performance levels considered suitable for real-time communication systems.

The team adds that this new model works under varying network loads. In high-bandwidth conditions, encryption delays are lower, suggesting the system adjusts dynamically to traffic intensity. They also add that energy consumption is reduced compared with encryption-only methods. This could be critical for edge computing environments where processing occurs on the device and where power resources might be limited.

Wang, H. (2026) ‘Dual-modal system for real-time encryption and anomaly detection of 5G communication data integrating AES-GCM and LSTM’, Int. J. Information and Communication Technology, Vol. 27, No. 41, pp.21–44.

Free Open Access issue published by International Journal of Reasoning-based Intelligent Systems

The International Journal of Reasoning-based Intelligent Systems has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.

• Stock prediction and selection method based on LSTM-BPNN and multi-factor quantisation
• Adaptive music generation by integrating improved VAE and improved GMVAE
• Application of support vector machine algorithm in quality evaluation of audio format conversion in music transmission
• Collaborative optimisation algorithm of international trade supply chain driven by artificial intelligence
• Object detection for construction site safety monitoring based on Yolov8 model

Research pick: Strike a pose for a health boost - "Integrating yoga and nutrition: a complementary therapy for addressing obesity in clinical practice"

A growing body of research is reframing yoga from a general wellness practice into a structured therapeutic intervention with measurable effects on obesity, type 2 diabetes, hypertension, coronary heart disease and chronic obstructive pulmonary disease (COPD), according to the authors of a paper in the International Journal of Sport Management and Marketing. The evidence base is still developing, but numerous studies suggest that yoga can affect physiological and psychological health outcomes.

Obesity has been a major focus of recent research. Obesity is a metabolic condition defined by excessive fat accumulation that increases a person’s risk of cardiovascular disease, diabetes, stroke and certain types of cancer. Unlike simple weight gain, obesity is understood as a complex interaction of diet, a sedentary lifestyle, and genetic susceptibility. It is becoming a major issue in public health around the world.

Intervention studies indicate that dietary improvement is key to reducing obesity, but when combined with yoga practice, it can be particularly beneficial. In programmes lasting six to twelve months, participants have experienced weight lost and improvements in cardiometabolic markers, including blood glucose regulation and cardiovascular function. Physical activity has repeatedly been shown to moderate the activity of two hormones, ghrelin, the hunger hormone and leptin, the satiety hormone. Yoga may well improve leptin sensitivity, boosting one’s fullness cues and so supporting longer-term weight regulation.

In the clinical literature, yoga is typically defined as a combination of physical postures, controlled breathing and meditation. Traditional systems such as Ashtanga yoga also incorporate ethical discipline and concentration, aligning with modern multidimensional approaches to health that integrate physical activity with stress management and behavioural change. Indeed, the psychological impact of yoga practice has been demonstrated in some studies to reduce anxiety, irritability, and depressive symptoms and to improve what we might term ’emotional stability’ and ‘perceived wellbeing’. Given that psychological stress is often a trigger for over-eating, yoga practice may well tackle obesity from the physical and psychological angles.

Chekatla, M.V., Bhaumik, A., Gousuddin, M. and Chekatla, V. (2025) ‘Integrating yoga and nutrition: a complementary therapy for addressing obesity in clinical practice’, Int. J. Sport Management and Marketing, Vol. 25, Nos. 2/3, pp.202–229.

Free sample articles newly available from International Journal of Decision Sciences, Risk and Management

The following sample articles from the International Journal of Decision Sciences, Risk and Management are now available here for free:

• Does integrated building information modelling support construction supply chains? A systematic review of theories, methods and actors
• Resilience of complex systems in modern contexts: sense-making of deviations and enabling the human for mitigating unwanted events and incidents
• The problem of negative total faced in the COPRAS method of multi-criteria decision-making techniques and a solution proposal Hasan Kazak
• An empirical assessment of the factors causing delays in project completion in the construction sector of Lahore Pakistan
• Doctors' attitudes toward social media use amid the COVID-19 pandemic using an extended technology acceptance model
• An interdisciplinary crisis management approach based on day-to-day business operations and project delivering for typical cruise companies
• Risk attitudes of forest dependent communities: evidence from Andhra Pradesh, India

Free Open Access special issue on "The Application of Advanced Materials for Smart and Sustainable Manufacturing – Part 1" published by International Journal of Materials and Product Technology

The International Journal of Materials and Product Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.

• Design modelling and digital visualisation application of carbon fibre composite materials under 3D printing manufacturing process
• Mechanical properties of materials during the removal of reinforced concrete internal support beams
• Role of wearable conjugated material pneumatic wrist in sports rehabilitation
• Exploring the application of intelligent responsive nanomaterials for temperature- and light-controlled colour change in dynamic decorative lighting systems
• Collaborative innovation in product recycling and remanufacturing within the context of a circular supply chain

Free sample articles newly available from International Journal of Web Engineering and Technology

The following sample articles from the International Journal of Web Engineering and Technology are now available here for free:

• Intelligent interior design based on deep learning and CF algorithm
• Cloud storage framework for multivariate regression-based data mining: optimised LIFR and FIFR model
• Evaluation of students' innovation and entrepreneurship based on genetic neural network algorithm under sustainable development in higher education institutions
• Cross-chain data exchange and information security protection management in blockchain
• Development strategy of rural e-commerce in the context of new media: construction of traceability system based on improved DPoS algorithm

Free 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.

• Construction of multimodal public opinion knowledge graph for regional economic fluctuations
• Password recovery parallelisation and acceleration technology for autonomous and controllable platforms
• Intelligent risk analysis framework for civil and commercial contract clauses based on BERT
• A personalised knowledge tracking graph neural network driven by learning psychological motivation
• Deep learning-driven literary evaluation: fusing visualised representations and text embeddings

Free sample articles newly available from International Journal of Sustainable Aviation

The following sample articles from the International Journal of Sustainable Aviation are now available here for free:

• Experimental and computational study on a morphed trailing edge airfoil for enhanced lift and stall characteristics
• Aviation impact on air quality: evidence from countries with highest air traffic
• A literature review on artificial intelligence in aviation sector
• Barriers to in-flight communication effectiveness: a qualitative inquiry with pilots in Türkiye
• Operational performance in sustainable aviation: an in-depth analysis of turnaround times of future commercial narrowbody liquid hydrogen aircraft

New Open Access article available: "Evaluation of Hunan Province's agricultural productivity based on the TOPSIS model"

The following International Journal of Environment and Waste Management article, "Evaluation of Hunan Province's agricultural productivity based on the TOPSIS 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 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.

• Construction of multimodal perception and quantitative assessment model of interactive participation in English classroom
• English diversified and high-fidelity translation based on adaptive label smoothing algorithm
• Computer music sound signal synthesis and separation based on time-frequency cross domain feature selection
• Research on intelligent management of the full lifecycle of power communication equipment based on knowledge graphs
• An optimal daily fund scheduling model based on ARIMA

Research pick: Highway to hella improved energy systems - "Optimal scheduling energy for ‘wind-solarload-storage’ AC-DC hybrid distribution network system based on multi-agent algorithm"

AI could boost AC/DC hybrid electricity systems and make renewable-heavy power grids more stable, efficient and resilient, according to research in the International Journal of Global Energy Issues, which has considered the future operation of low-carbon high-voltage networks.

The research looked at one of the main engineering challenges that has emerged with the shift towards renewable energy: how to operate electricity grids reliably when large amounts of power come from intermittent sources such as wind and solar.

Modern electricity systems are increasingly evolving into AC/DC hybrid networks, which combine traditional alternating current (AC) infrastructure, such as power stations, with direct current (DC) systems used by technologies such as solar panels, batteries, electric vehicles and power electronics. Hybrid systems can improve efficiency and make renewable integration easier, but they are also much more difficult to control because both electricity supply and demand fluctuate constantly.

The researchers argue that traditional centralised control systems are no longer appropriate for such networks. Conventional grid management relies on a central operator collecting information from across the network and calculating instructions for generators, storage systems, and other equipment. But the growing number of renewable devices and variables now make real-time optimisation far too slow and computationally complex.

The research has looked at how a framework based on multi-agent reinforcement learning (MARL), a form of artificial intelligence (AI) in which software agents learn decision-making behaviour through repeated interaction with their environment might solve this problem. In this approach, different parts of the electricity system, including wind farms, solar installations, and battery storage units, are treated as independent components where rapid, local decisions and the over-arching system coordinates these decisions within the grid as a whole.

Simulations predict a reduction in operating costs of more than 10 percen and an increase in renewable energy use of more than 13 per cent. Efficiency is also improved, with losses reduced by more than 15 per cent compared with traditional centralised optimisation methods.

Wei, B., Yang, C., Liu, K., Tang, W. and Zhang, X. (2026) ‘Optimal scheduling energy for ‘wind-solarload-storage’ AC-DC hybrid distribution network system based on multi-agent algorithm’, Int. J. Global Energy Issues, Vol. 48, No. 8, pp.24–42.

Free 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.

Research pick: The career kaleidoscope - "Women’s empowerment and innovations in work behaviour: based on the kaleidoscope model"

A study in the International Journal of Business Innovation and Research has looked at women’s employment in Saudi Arabia. It suggests that workplace empowerment is closely linked to an employee’s ability to generate and implement new ideas. The research thus offers evidence that organisational inclusion strategies may have direct consequences for innovation performance.

The researchers surveyed almost 500 women working across both public and private sector organisations in Saudi Arabia. They found that those that report higher levels of empowerment were more likely to demonstrate innovative work behaviour.

To test this relationship, the authors used a statistical technique known as partial least squares structural equation modelling. This allowed them to consider multiple interacting variables at once. They could then estimate what direct and indirect effects were affecting the outcomes whether empowerment, psychological engagement, or organisational context.

They point out that empowerment operates not just as a matter of workplace fairness or representation, but drives innovation. They found that this happens through two pathways. The first is creative process engagement, wherein an individual actively involves themselves in generating ideas, experimenting with different approaches to tasks, solving problems, and reflecting on outcomes.

The second mechanism is the kaleidoscope model where shifting priorities such as authenticity are balanced with personal values, work and personal life are balanced, and challenges are met in terms of the pursuit of growth and development opportunities. The study found that empowered women could balance all three angles of the kaleidoscope well to shape their career decisions to support innovation at work.

The team also found that organisational context also had a role to play. Formal and informal rules, practices, and power structures that shape workplace behaviour influenced empowerment and its relationship with innovation. They add that supportive and transparent policies led to stronger links between empowerment and creative engagement. This suggests that institutional environments might facilitate or hinder employee potential by choosing a particular approach to women in the workplace.

Aldossary, S.M. and Aldhmour, F.M. (2026) ‘Women’s empowerment and innovations in work behaviour: based on the kaleidoscope model’, Int. J. Business Innovation and Research, Vol. 39, No. 9, pp.21–49.

New Open Access article available: "Power information network attack chain identification and disaster recovery early warning mechanism based on graph neural network"

The following International Journal of Intelligent Information and Database Systems article, "Power information network attack chain identification and disaster recovery early warning mechanism based on graph neural network", 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 Process Integration and Management

The following sample articles from the International Journal of Business Process Integration and Management are now available here for free:

• Addressing cartels in emerging markets: a critical analysis of legal implications and policy reforms
• Digital transformation in managing outgoing student applications: enhancing administrative efficiency in higher education institutions
• Examining the pandemic shifts in payment: awareness and inclination in digital payments across demographics
• Unveiling the power of shared leadership in project realms: a synergy of planning, knowledge, cohesion, and trust
• Identifying performance measures relationships in business processes based on data mining
• Improvement of training procurement business process using DMAIC at PT. Transportasi Jakarta (Transjakarta)
• Unveiling the impact: how lantern product value attributes drive purchase intentions among peoples

Free 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.

• High quality controllable music generation technology based on improved transformer
• Timbre interpretable representation modelling method integrating self-supervised learning and music theory descriptors
• Digital art image design method based on fractal geometry and lightweight convolutional networks
• The design of multi-modal intelligent vocabulary memory system for fragmented learning
• Urban green space landscape planning and design based on superpixel segmentation algorithm

Free Open Access special issue on "The Central Role of China in the Global Automotive Industry – Part 1" published by International Journal of Automotive Technology and Management

The International Journal of Automotive Technology and Management has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.

• The great unbundling: from integrated architecture to orchestrated fluidity in the software defined vehicle era
• Electric vehicle adoption in China's post-subsidy era: a mixed-methods study of non-fiscal incentives

New Open Access article available: "From coal to green: skills pathways for key emerging sectors in just transition regions"

The following World Review of Entrepreneurship, Management and Sustainable Development article, "From coal to green: skills pathways for key emerging sectors in just transition regions", 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 Environment, Workplace and Employment

The following sample articles from the International Journal of Environment, Workplace and Employment are now available here for free:

• Integrating consumer behaviour into the circular economy: a proposed multidimensional scale
• Career development and employee loyalty affect company commitment and performance in small and medium-sized enterprises in the northeast region of Vietnam
• Illuminating operational excellence in automotive manufacturing company (an empirical evidence from Indonesia)
• An examination of the environmental and climatic consequences stemming from the integration of the Metaverse into converging digital ecosystems
• Impact of perceived glass ceiling on burnout among female public administrators in Tunisia: the moderating role of work-life balance

Free 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.

• Research on innovative design of power grid data security transmission system based on chaotic encryption algorithm
• Analysis and research on entrepreneurial models and policy innovation paths facing the digital energy market
• Exploration of a teaching model for choreographic course based on Laban Movement Analysis theory in the context of artificial intelligence
• Fuzzy adaptive coordinated control for power oscillation suppression in multi-VSG systems
• Knowledge graph construction for online courses using enhanced BERT and BiLSTM