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...
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...
Artificial intelligence is increasingly integrated into professional cybersecurity workflows, yet the cognitive effects of AI assistance on researcher behavior remain poorly understood. This paper int...
Anomaly detection in complex industrial scenarios requires models that characterize normal patterns and maintain high sensitivity to subtle anomalies. Generative Adversarial Networks (GANs) have attra...
We study balanced n-ary block designs that allow repeated treatments within blocks, motivated by applications in dose-response and repeated-measure experiments. We introduce a master (k+1)-ary design ...
Background Preoperative identification of patients at risk for severe operative difficulty during laparoscopic cholecystectomy remains clinically relevant. C-reactive protein (CRP) reflects systemic i...
Horti-silvi-pasture (HSP) systems offer a climate-resilient strategy to improve fodder productivity and sustainability in semi-arid areas. This study assessed two HSP systems, Holoptelea integrifolia ...
Plantar tissue adaptation during activity is thought to contribute to diabetic foot ulceration (DFU), yet most existing studies only measure compressive quasi-static properties. This pilot study devel...
Aim: This pilot study explored the feasibility and preliminary effects of a home-based complex exercise programme compared with Pilates in breast cancer survivors with lymphoedema, delivered and asses...
Chronic exposure to high-altitude hypoxia impairs hippocampus-dependent learning and memory. However, the upstream mitochondrial mechanisms by which oxygen deficiency triggers synaptic dysfunction rem...
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