- Image retrieval of hand-drawn sketches in Shu embroidery pattern based on CycleGAN and triplet network
- Swimming-assisted training and physical fitness enhancement system based on improved YOLOv5 and improved ST-GCN
- Dynamic identification model of financial fraud of listed companies based on XGBoost and graph neural network
- Smart tourism decision support system based on dual-heuristic algorithms
- Extraction system of BiLSTM-CRF joint transfer learning
1 May 2026
Free Open Access issue published by International Journal of Information and Communication Technology
30 April 2026
Research pick: Teach the world to give - "Understanding inspiration for social entrepreneurship – putting the social back in society"
Research in the International Journal of Entrepreneurship and Small Business suggests that universities have a bigger role to play in shaping what students go on to do after graduation, particularly in the growing field of social entrepreneurship.
Social entrepreneurship refers to commercial ventures that seek both financial sustainability and social or environmental impact. They are often driven by the urge to address issues such as inequality, poverty, pollution, and climate change. While business schools have expanded their entrepreneurship offerings in recent years, much of that teaching remains focused on conventional, profit-driven models. This study looks at how international experiences can influence students who go on to build organisations with wider social aims.
The research focuses on inspiration theory. This is a framework that distinguishes between being inspired by an experience and being inspired to act on it. This distinction is important as many students may encounter new ideas or problems, but far fewer translate that experience into a new venture. The study looked at 36 student entrepreneurs who launched socially oriented initiatives after periods of study abroad. The results could help explain how the transition from commercial to social occurs finding, as it does, that students consistently described their time abroad as a catalyst, though not a direct cause, of entrepreneurial action.
Many explained how exposure to unfamiliar social and environmental challenges, from obvious inequality to sustainability issues, prompted the students to think about their personal values and priorities. In many cases, this led to what the researchers describe as an entrepreneurial identity. This was a shift in self-perception in terms of who might see themselves as capable of initiating social change, rather than simply reflecting on the problems.
The findings come at a time when universities and policymakers are examining once again how best to prepare students for a globalised economy. If international experiences help bridge the gap between entrepreneurial intention and action, the role of educators may extend beyond cultural exchange into the realm of innovation policy. Traditionally, study abroad may have been perceived as a peripheral enrichment activity but today it might be better integrated fully and deliberately into entrepreneurship education.
Lichy, J. (2026) ‘Understanding inspiration for social entrepreneurship – putting the social back in society’, Int. J. Entrepreneurship and Small Business, Vol. 58, No. 1, pp.110–131.
Free Open Access issue published by International Journal of Simulation and Process Modelling
- Tau protein transmission simulation modelling in Alzheimer's disease integrated with neuro-symbolic learning
- Simulation modelling inverse problems of partial differential equations with physics-informed neural networks
New Open Access article available: "Rehabilitation of pre-loaded reinforced concrete columns exposed to fire using advanced strengthening techniques"
The following International Journal of Critical Infrastructures article, "Rehabilitation of pre-loaded reinforced concrete columns exposed to fire using advanced strengthening techniques", 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 Business Innovation and Research
- Nexus between innovation ecosystem and innovation performance
- Women's empowerment and innovations in work behaviour: based on the kaleidoscope model
New Open Access article available: "Analysis of factors affecting college students' academic performance based on linear regression"
The following International Journal of Computational Systems Engineering article, "Analysis of factors affecting college students' academic performance based on linear regression", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
29 April 2026
Research pick: First the drying then the java jive - "Performance evaluation of a solar greenhouse dryer for coffee drying in the Peruvian high Andes: an energy, exergy, economic, and environmental approach"
A solar-powered drying system that combines greenhouse design with active air circulation could offer coffee producers a more reliable and lower-emission way to process beans after harvest, according to research in the International Journal of Exergy. The conclusion comes from a smooth blend of laboratory modelling and field trials.
Drying is a critical step in coffee production. Freshly harvested coffee beans typically contain more than 50% moisture. That level must be reduced to about 10% to mould growth and spoilage. Beans that are unevenly dried produce poorer-quality coffee if any coffee at all.
The system looked at the benefits of drying beans in a greenhouse-type structure that traps solar radiation. Such greenhouses can get hotter than conventional drying areas, leading to faster evaporation from the beans. The use of solar-powered fans is needed to move air through the drying chamber, reducing humidity and giving even drying, the researchers suggest.
Trials of this approach demonstrated that beans could be dried from about 50% moisture to close to the requisite 10% in just four days. This meets industry standards for safe storage and transport, the report explains. Key to success is consistent temperature control. Too hot and the flavour compounds in the beans can degrade. If the system is not hot enough then slow moisture loss leads to spoilage.
The study showed that a drying temperature of 52.5 Celsius is optimal, just right for consistent moisture removal without flavour compound compromise. Energy and exergy measures of the process showed an efficiency of 33% and 40%, respectively. The energy efficiency is less representative than the exergy measure. Exergy shows how much useful work is done in the process rather than dissipated as waste heat. A higher exergy efficiency means the system is making better use of the available resources. This is an important consideration in renewable energy applications and environmental audits.
Ayala Gonzáles, J.R., Marcelo-Aldana, D. and La Madrid Olivares, R. (2026) ‘Performance evaluation of a solar greenhouse dryer for coffee drying in the Peruvian high Andes: an energy, exergy, economic, and environmental approach’, Int. J. Exergy, Vol. 49, No. 4, pp.318–333.
International Journal of Electronic Security and Digital Forensics to invite expanded papers from 17th International Conference on Global Security, Safetyand Sustainability (ICGS3-26) for potential publication
28 April 2026
Research pick: Engineering education, does it blend? - "Assessing laboratory designs in CDIO implementation for technology and engineering education via fuzzy TOPSIS approach: evidence in the Philippines"
Universities redesigning engineering courses are being forced to reconsider a long-standing assumption: that learning happens best in a physical laboratory, according to work in the International Journal of Continuing Engineering Education and Life-Long Learning. The research suggests that virtual environments may now offer the strongest overall case, though there are important limitations.
The study examined laboratory design within the so-called CDIO framework, the Conceive-Design-Implement-Operate framework. This structures engineering education around the full lifecycle of a product or system. In this approach, laboratories are vital to the teaching process rather than being supplementary, as students are expected to apply theory in practical, project-based settings.
Institutions now have a wider range of options to offer than before, from traditional in-person labs to fully virtual platforms as well as hybrid formats and remote labs. Each approach has its pros and cons. Physical labs allow direct interaction with equipment but are expensive and limited in capacity. Virtual labs are more flexible and accessible but depend on stable technology and may reduce face-to-face engagement as well as being by definition anything but hands-on.
To compare the different approaches, the researchers used a structured method known as fuzzy TOPSIS, part of a class of tools designed to evaluate decisions involving multiple, competing criteria. The criteria they considered in their assessment included student participation, academic performance, satisfaction, exposure to technical problems, and the risk of unequal access to technology. The fuzzy element allows them to include subjective judgements, such as levels of engagement, which can be converted into numerical data for analysis. The work also used bootstrap resampling, a statistical technique that tests how stable results remain when inputs vary slightly, this gives them a way to check that the analysis is reliable.
Based on expert assessments, virtual laboratories ranked highest overall, largely due to their flexibility and scalability. Students can access them at any time, while universities can expand provision without the constraints of physical space. The shift reflects changes that have occurred in education since the COVID-19 pandemic, which led to widespread adoption of online learning.
The work does not suggest abandoning physical laboratories, they remain important for learning hands-on skills and collaboration. Instead, the work suggests that a blended approach can be the most beneficial.
Teo, R.H., Sardual, R.M., Pangandoyon, H.F., Arranguez Jr., M.D., Lim, J.H.P., Villamor, F.E., Burgos, N.P. and Himang, M.M. (2026) ‘Assessing laboratory designs in CDIO implementation for technology and engineering education via fuzzy TOPSIS approach: evidence in the Philippines’, Int. J. Continuing Engineering Education and Life-Long Learning, Vol. 36, No. 8, pp.1–20.
Free Open Access issue published by International Journal of Continuing Engineering Education and Life-Long Learning
- Assessing laboratory designs in CDIO implementation for technology and engineering education via fuzzy TOPSIS approach: evidence in the Philippines
- Optimisation of intelligent English grammar error correction based on multi-strategy Pinyin detection and hierarchical enhancement
27 April 2026
Research pick: Word up! - "Optimisation of intelligent English grammar error correction based on multi-strategy Pinyin detection and hierarchical enhancement"
A language-correction system tailored to the specific challenges faced by Chinese learners of English is described in the International Journal of Continuing Engineering Education and Life-Long Learning. The system combines advanced Pinyin detection and hierarchical data augmentation strategies to address long-standing issues in the accuracy and efficiency of language correction tools used by non-native English speakers.
Chinese learners of English frequently encounter issues influenced by the structure and phonetics of their native language. One of the most pressing obstacles is the misidentification of Pinyin, the romanised phonetic representation of Chinese characters. When Chinese proper nouns such as “Zhangsan” or “Beijing” are written in English, they can be erroneously flagged as spelling mistakes by existing checkers. These misclassifications disrupt the flow of writing and can mislead learners into thinking their use of these names is incorrect. Research indicates that almost two-thirds of Chinese learners encounter these kinds of errors.
The new system resolves this issue by integrating a dual-strategy Pinyin detection algorithm. It pairs syllable tree matching with linguistic rule-based methods to identify and correctly treat Pinyin terms as legitimate parts of the text. It achieves 99.95% accuracy and can process more than 5000 words per second. Such speed makes it viable for real-time use in education and the workplace.
By using hierarchical data augmentation, the same system can also highlight genuine errors in article usage, subject-verb agreement, and verb tense, aspects that are not always accounted for in the current systems. This grammar correction model uses a transformer-based architecture to treat grammar correction as a sequence-to-sequence task. It demonstrated high accuracy on datasets focused on common errors made by Chinese learners, around 85-90% for article misuse, subject-verb agreement, and verb tense issues.
English remains the lingua franca of the modern world. For millions of learners, mastering its complexities can be a daunting task. Traditional grammar checkers are often unable to account for the specific errors that arise from the structural and phonetic differences between English and the learner’s native language. This new system seeks to address that problem.
Song, L. (2026) ‘Optimisation of intelligent English grammar error correction based on multi-strategy Pinyin detection and hierarchical enhancement’, Int. J. Continuing Engineering Education and Life-Long Learning, Vol. 36, No. 8, pp.21–48.
Free sample articles newly available from International Journal of Artificial Intelligence and Soft Computing
- Modelling the demand trend for automobile parts using machine learning methods
- Artificial bee colony algorithm with hyperbolic spiral-based local search
- Precision depth of anaesthesia estimation through machine learning and regression method: an intriguing case study unveiling the future
- Age and gender prediction using Haar cascade algorithm and fine-tuned CNN framework
- Dynamic knowledge expansion: real-time text classification with deep convolutional neural networks
Free sample articles newly available from International Journal of Higher Education and Sustainability
- Fabric of change: insights from Gen Z college students on government's role in promoting sustainability in fashion
- Confidence level and school experiences of final year undergraduates of computer science in South-West Nigerian universities
- Critical reflective teaching praxis: lessons from oral hygiene educators in South Africa
- Curating historical green learning competency: the ECHO-sustainability pedagogy design
- Stakeholders' perception of inclusive and quality technical and vocational education training in the Sunyani municipality of Ghana
Free Open Access issue published by International Journal of Information and Communication Technology
- Big data-driven athlete selection and training optimisation system fusing graph neural network and ensemble learning
- A quantitative evaluation model of English classroom interaction fairness driven by modal data distillation
- Construction of UAV trajectory prediction model based on 5G communication and image recognition technology
- Vision-guided autonomous hydrogen refuelling system based on multi-scale recognition and force-position hybrid control
- Improving student success rate: an optimisation model for language proficiency prediction based on a random forest classifier
Free sample articles newly available from International Journal of Energy Technology and Policy
- Optimally distributed generator placement and phasor measurement unit integration for enhanced distribution system performance: a particle swarm optimisation-based approach
- Hierarchical classification of dynamic carbon emission factors based on improved support vector machine
- A peak carbon emission prediction method for enterprises based on IoT blockchain and grey neural network
- Distributed generation planning method for active distribution network based on frog leaping algorithm
- Online identification method of power grid load sensitivity based on adaptive Kalman filter
- A time series-based method for predicting electricity demand in industrial parks
- Multiple fault diagnosis method for regional power grid based on DTS simulation system
- A multi-objective optimisation configuration method for photovoltaic access microgrid energy storage capacity based on improved genetic algorithm
- New energy charging pile installation layout method based on terminal load demand fusion processing
- A detection method for electricity theft behaviour in low-voltage power stations: multi-source data fusion
- Capacity optimisation configuration of active distribution network under distributed photovoltaic access
- A method for monitoring and early warning of meteorological disasters in cross regional large power grid based on Doppler radar data
24 April 2026
New Open Access article available: "Regional social capital and the accumulation of physical capital by informal enterprises in India"
The following International Journal of Indian Culture and Business Management article, "Regional social capital and the accumulation of physical capital by informal enterprises in India", is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Research pick: Transparency and trust in the age of deepfake ads - "Navigating ethical dilemmas: the role of deepfake technology in modern advertising campaigns"
A study into the use of deepfake technology in advertising has found that public acceptance of synthetic media generated by artificial intelligence (AI) is closely tied to how familiar someone is with technology and the way such content is framed. The research, published in the International Journal of Artificial Intelligence Governance and Human Rights, raises questions for regulators and advertisers alike regarding transparency and trust.
Deepfakes are images, videos or audio recordings created or altered using AI to make someone appear to say or do things they never actually did or to fabricate a happening. In terms of deepfaking a person and what they might say, the technology uses neural networks and autoencoders to alter facial features and to map expressions, voice, and movements to spoken words that may have been generated by an AI trained on the person’s voice. The technology is advancing rapidly and outstrips conventional CGI, audio and image editing tools.
In the age of scrollable social media and split-second soundbites, deepfakes that are near-perfect have the potential to distort reality and alter public opinion in ways that old-school propaganda and smear campaigns never could.
The research highlights both commercial potential and ethical risks. In advertising, synthetic media could enable personalised campaigns, virtual brand ambassadors, and faster content production. But researchers warn that the same capabilities challenge assumptions that video and audio content reflect reality. In fast-moving online environments, such material can be widely shared before its authenticity is questioned, increasing the risk of deception and reputational harm.
The survey results discussed in this paper suggest that younger respondents and those with greater tech savvy were more open to deepfake advertising, although most still expressed ethical concerns. Men were generally more receptive than women, but concerns over manipulation and consent were seen across demographics.
One key finding was the effect of language. Participants responded more positively to the term “artificial media” than “deepfake”, suggesting that terminology can shape perceived legitimacy and ethical acceptability even when the underlying technology is identical.
Verma, S., Mourya, P. and Rastogi, P. (2026) ‘Navigating ethical dilemmas: the role of deepfake technology in modern advertising campaigns’, Int. J. Artificial Intelligence Governance and Human Rights, Vol. 1, No. 1, pp.92–108.
Free Open Access issue published by International Journal of Information and Communication Technology
- Design and optimisation of museum cultural and creative products based on cultural big data analysis
- Data-driven teaching quality monitoring with a transformer-GNN hybrid
- Polyphonic music melody generation model based on inverse reinforcement learning algorithm
- Design of interactive English learning system driven by big data
- Precise identification and traceability of fake e-commerce reviews integrating multimodal semantic understanding
Free sample articles newly available from International Journal of Learning Technology
- Investigating the adoption of e-learning as a sustainable solution in higher education using the TAM model
- A multi-criteria course recommendation system based on the skyline BNL and top-kws algorithms
- A practical study on the use of MOOC for geo-informatics education on the edX platform
- Implementation of educational gamification in blended learning environment: experiments of field from multi-trial in medical sciences groups
- Development and validation of the online learning experience scale for art majors in Chinese tertiary education
Free Open Access issue published by International Journal of Computational Systems Engineering
- A practical study of a gamified motivational curriculum for physical education based on optimal interactive artificial intelligence
- An improved BERT model feature representation method for defect text classification in power system
23 April 2026
Free sample articles newly available from International Journal of Enterprise Network Management
- Antecedents of economic and non-economic satisfaction in a franchise context
- Assessment of the relationship between business network and geographical indication
- Supplier relationship management maturity: a scale development study
- Relationship between GST revenue and selected stock indices in Indian economy: autoregressive distributed lag approach
- A qualitative analysis of customer acquisition in online fitness communities
Free Open Access issue published by International Journal of Information and Communication Technology
- Adaptive control of electromagnetic suspension based on reinforcement learning and fuzzy rules
- Dynamic modelling of consumer purchase intentions based on fine-grained user behaviour sequences
- Corporate internal control evaluation based on contrastive learning neural networks from the perspective of multi-source data
- Cross-border e-commerce supply chain optimisation with transfer learning models
- Multimodal federated learning for detecting financial anomalies in enterprise cloud systems
New Open Access article available: "Uncovering the drivers of environmental, social, and corporate governance reporting: evidence from Vietnam"
The following International Journal of Managerial and Financial Accounting article, "Uncovering the drivers of environmental, social, and corporate governance reporting: evidence from Vietnam", 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 Vehicle Performance
- Experimental analysis of car drag reduction through contour bump application
- Soft actor-critic with automatically adjusted entropy for autonomous exploring in unknown environments
- Research on aerodynamic attachments parameter optimisation by integrating BP neural network and genetic algorithm
- Insights of computer vision-based techniques: perspective transformation and sliding window approach for lane line detection in autonomous vehicles
- Automatic driving systems considering trajectory tracking and lateral stability control of distributed electric drive semi-trailer truck
Research pick: Water, water bottles everywhere - "Background on the intention to reduce the consumption of bottled water in disposable plastic bottles"
Research in the International Journal of Business Environment has looked at how Generation Z consumers in Mexico are trying to reduce their use of single-use plastic water bottles. The work found that their habits are driven by perceived responsibility rather than an awareness of the actual environmental harm caused by the accumulation of such waste.
Generation Z refers to people born in the mid-to-late 1990s into the early 2010s. This generation is often referred to as the digital native generation, although that also covers some of the younger millennials. The research thus looks at environmental psychology and consumer behaviour in the context of people who did not know the world before the ubiquity of the web, social media, smart phones, and 24/7 access to information and news.
The focus is on bottled water, one of the most persistent contributors to consumer-driven plastic waste around the world. The research shows that while Gen Z consumers know about the environmental damage caused by disposable plastic bottles, that understanding does not always lead to changes in their behaviour. However, it does trigger them, making them feel environmental guilt and shame and putting the onus on their personal responsibility. Ultimately, perceived personal responsibility and environmental guilt lead to a more positive attitude towards reducing bottled water use.
In Mexico, concerns about public water quality have contributed to high reliance on bottled alternatives, reinforcing a steady stream of plastic waste. The study describes this as part of a wider paradox: environmental awareness is increasing, but consumption patterns remain largely unchanged, perhaps inevitably.
Cavazos-Arroyo, J. and Máynez-Guaderrama, A. (2026) ‘Background on the intention to reduce the consumption of bottled water in disposable plastic bottles’, Int. J. Business Environment, Vol. 17, No. 2, pp.191–213.
New Open Access article available: "The adoption of accounting system based on cloud computing in Chinese SMEs: a research based on the technology acceptance model framework"
The following International Journal of Internet Technology and Secured Transactions article, "The adoption of accounting system based on cloud computing in Chinese SMEs: a research based on the technology acceptance model framework", 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 Knowledge Management in Tourism and Hospitality
- Lovecraftian cosmic horror and folklore in Malik's: Dead Lovers on Each Blade, Hung
- Motivation and satisfaction: the foundation of organisational success case study: CONSAG (Portugal)
- Norm activation model and tourist intention to stay at green hotel: the role of value-belief-norm theory constructs
- Ecotourist revisit intent: predicting visit intentions for sustainable travel experiences
- CSR reporting in tourism: the case of the Greek hospitality industry
Free Open Access issue published by International Journal of Information and Communication Technology
- AI and ICT-enabled decision support system for hospital human resource management
- Towards group psychological state prediction with elastic computing resource allocation in large-scale open courses
- An intelligent accounting data integrity assurance system with blockchain and cloud computing collaboration
- A consistent simulation model for environmental art design generation driven by multimodal transformer
- Temporal attention-integrated simulation modelling of automotive component degradation for remaining useful life rediction
