In image processing, denoising can provide high-quality data for subsequent processing. Current denoising methods can be categorized into three types: learningbased methods, model-based methods, and f...
This paper examines whether the tariffs imposed by the United States on Chinese goods during the Trump administration created export opportunities for India through trade diversion effects. The U.S.–C...
Background Global progress toward the Millennium Development Goal target of halving the proportion of people without safe water and sanitation remains incomplete, and the challenge persists under Sust...
This paper presents a staged deep-learning framework for robust modeling of noisy multi-input multi-output (MIMO) Hammerstein systems under correlated measurement disturbances. The proposed architectu...
Neuromorphic computing based on artificial synapses requires devices capable of gradual, repeatable, and energy-efficient conductance modulation. Ionically gated transistors are promising candidates b...
Background Youth-friendly sexual and reproductive health (YFSRH) services are central to improving youth health outcomes. Despite national standards in Ethiopia, implementation challenges persist. Hea...
Floods have caused severe damages in Austria in recent years, and climate change is expected to increase flood risks in the future. While Austria has an advanced hydrological measurement network for f...
Forecasting the consumer price index (CPI) is essential for inflation monitoring and policy design, yet existing studies often rely on limited economic variables and single-country settings. This stud...
Background Co-infections with multiple parasites are widespread in wild populations and can influence both host-parasite and vector-parasite interactions. Among haemosporidian parasites, co-infections...
Efficient and reproducible production of mesenchymal stromal cell-derived extracellular vesicles (MSC-EVs) is essential for their therapeutic application. In this study, we investigated, for the first...
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