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Abstract Groundwater is a central component of the Earth system. However, our understanding of how it is dynamically interlinked with the atmosphere, hydrosphere, cryosphere, biosphere, geosphere, and anthroposphere rema...

Abstract Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The Biobanking and Biomolecular Resources European Research Infrastructure (BBMRI-ERIC) established a CRC-Cohort with European cover...

Abstract Developing musculoskeletal hand models requires a variety of experimental biomechanics data. However, collecting robust biomechanics hand data is a time intensive process leading to a lack of widely available da...

Abstract Osteoporotic fractures (OPF) and hypertension frequently co-occur in older adults, yet comprehensive datasets integrating clinical, pharmacological, and longitudinal outcome data remain scarce. We describe a lon...

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 This paper describes an acoustic dataset collected on a frozen shallow freshwater lake between February and March of 2024. This collection took place over one full week on Portage Lake in the Upper Peninsula of ...

Abstract Unmanned aerial vehicles (UAVs), or drones, are increasingly deployed for critical missions such as environmental monitoring, infrastructure inspection, and disaster response. Assessing the reliability of these ...

Abstract Bronchopulmonary dysplasia (BPD) is a common complication among preterm neonates, with portable X-ray imaging serving as the standard diagnostic modality in neonatal intensive care units (NICUs). However, lung m...

Abstract In this paper we present an analysis of the role of randomized controlled trials (RCTs) in the regulation of health claims (claims about additional health benefits provided by foods). Currently there is a line o...

Abstract In response to the problems of large fluctuations in electricity prices and difficulty in long-term forecasting caused by the large-scale integration of new energy in the electricity market, this paper construct...

Abstract This study introduces two recently developed bio-inspired metaheuristic algorithms, Artificial Protozoa Optimizer (APO, 2024) and Dung Beetle Optimizer (DBO, 2023), into long short-term memory (LSTM) networks fo...

Abstract The aquatic flora of Minnesota’s freshwater lakes have been extensively surveyed for purposes of resource assessment, research, and ecosystem management. Despite widespread use of a common method for vegetatio...

Abstract Data pruning is a key technique for reducing training costs and improving model performance. However, most existing methods rely on fixed pruning rates or single metrics, which are largely designed for static tr...

Abstract Publicly available, large-scale medical imaging datasets are crucial for developing and validating artificial intelligence (AI) models and conducting retrospective clinical research. However, multimodal datasets...

Abstract Localisation of surgical tools constitutes a foundational building block for computer-assisted interventional technologies. Works in this field typically focus on training deep learning models to perform segment...

Abstract Hot data identification plays a critical role in a wide range of computing systems, including memory hierarchy management, database optimization, and large-scale storage infrastructures. Its importance has furth...

Abstract Historical weather journals from across Canada, spanning 1768–1884, have been transcribed from handwritten records into machine readable formats. The NORTHERN (Nineteenth-century Overseas Records Transcribed f...

Abstract Remote sensing is increasingly employed today for the creation of wall-to-wall vegetation maps of protected areas. The main objective of this study was to evaluate whether it is feasible to develop a remote sens...

Abstract Energy activities are the primary source of carbon dioxide emissions. Real-time and accurate monitoring of their carbon emission dynamics is a crucial foundation for governments and enterprises in formulating ca...

The present article examines four interrelated elements of the economy: namely, markets, labour, production, and distribution. These elements thus function as principles and laws. This approach is predicated on the premi...

Abstract Emotional intelligence is widely used to refer to the capacity to perceive, assess, and manage one’s and others’ emotions to attain personal and collective goals. This study aims to identify current and emer...

The scientific approach in teaching and learning process involves five steps: observing, questioning, gathering information, processing information, and communicating. However, most Islamic religious education (PAI) teac...

Forest ecosystems play a fundamental role in sustaining global water cycles and ecological security, and accurate modeling of their eco-hydrological processes is essential for forest management, watershed regulation, and...

Digital research artifacts (articles, datasets, software, etc.) are the basis for scientific research. Due to the continuous growth and complexity (e.g., due to formats) of such artifacts, ensuring their organization and...