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IntroductionThe cost of veterinary care is a significant concern for many pet owners. Despite the growing use of the internet for service-related information, there is limited research regarding the accessibility of vete...

The integration of Artificial Intelligence (AI) in higher education presents both opportunities and ethical challenges. In Malaysia, private universities are adopting AI at a pace that often outshines the development of ...

The German law for „Accelerating Housing Construction and Securing Housing“ – the so-called Bauturbo – fundamentally changes key mechanisms of democratic control in the German planning system. The new provision...

The increasing complexity of halal supply chains has intensified transparency challenges, yet limited studies integrate behavioural and innovation theories to explain consumer adoption of blockchain-based halal traceabil...

This article examines Mudwoman (2012) and Breathe (2021) by Joyce Carol Oates through the frameworks of cognitive poetics, predictive processing, and philosophical theories of consciousness. Drawing on Daniel Dennett’s...

As Machine Learning Operations (MLOps) adoption accelerates, systematic integration of explainability is imperative for reliability, transparency, and continuous quality assurance. This paper presents a scoping review ex...

Municipal planning is a multidimensional decision-making process. Within this process, transparency is understood not only as access to information, but also includes the disclosure of evaluation standards, decision-mak...

Abstract Contractor-related deficiencies remain a critical challenge in workplace health and safety management within high-risk industries, particularly in the oil and gas sector, where heterogeneous safety practices and...

Abstract Credit risk assessment is a critical function in financial analytics, requiring models that can adapt to diverse borrower profiles while providing clear and interpretable insights. Although a range of data drive...

Abstract Accurate farmland market data plays a crucial role in decision-making for policymakers, investors and operators. We present a nationwide, parcel-level dataset of farmland rent in China, derived from eight survey...

Abstract Background Malaria continues to pose a major public health challenge in sub-Saharan Africa (SSA), where more than 95% of global cases and deaths occur. Despite WHO Global Technical Strategy for Malaria (GTS) tar...

Artificial intelligence (AI) models developed for Global Navigation Satellite System Reflectometry (GNSS-R) observations have demonstrated competitive performance in estimating geophysical parameters, especially ocean su...

Abstract This paper proposes a novel hybrid ensemble machine learning framework integrated with Explainable AI (XAI) to overcome the fundamental trade-off between non-detection zones (NDZ) and false positives in conventi...

Abstract Background No mandatory policies currently exist to address food environments in Belgium. Monitoring commitments and practices by food industry actors is essential for increasing accountability. The aim of this ...

Federated learning (FL) is a decentralized machine learning (ML) approach that can be used for intrusion detection in Internet of Things (IoT) devices. It involves the local training of AI models and their aggregation at...

Abstract As climate change issues escalate, companies face increasing pressure to disclose their environmental impact. In this context, effective corporate governance is critical in promoting transparency and ensuring su...

Abstract Accurate early detection of clinically significant prostate cancer is crucial for improving patient outcomes. However, traditional diagnostic methods such as Digital Rectal Exam and Prostate-Specific Antigen (PS...

Neighbourhood theft persists in peri-urban and urban Tanzania despite widespread community-led guarding. While commercial guard-tour systems exist, they do not fit neighbourhood committee realities of member contribution...

Abstract This study provides a comprehensive dataset (FAIRUrbTemp) that addresses the lack of high-resolution urban air temperature data across Europe. It compiles sub-hourly street-level air temperature data from 811 lo...

Abstract Background Fuchs endothelial corneal dystrophy (FECD) is characterized by progressive endothelial dysfunction and corneal edema. Reliable objective biomarkers for grading disease severity are currently evolving....

This paper presents Prak, a forced alignment tool developed for Czech, with a focus on transparent modular design and phonetic accuracy. In addition to a rule-based pronunciation module and exception handling, Prak intro...

Accountability is a cornerstone of good governance, particularly in the era of fiscal decentralization. Despite ongoing reforms, many Indonesian provinces continue to face challenges related to limited transparency, heav...

Abstract Indonesia's government procurement system struggles to integrate research and innovation products, hindering industrial competitiveness. This study maps Indonesia’s innovation procurement system across three l...

Abstract This article explores how collective attention can be both disrupted and enhanced by artificial intelligence. It examines how the rise of algorithmic recommendation systems, generative media, and large-scale lan...