Scientific Reports
Articles in this Issue
Edge optimized hybrid quantum-classical ensemble framework for EEG and MRI based epileptic seizure detection in IoMT
Unveiling the structural, electronic, optical, and transport properties of Cs₂SeCl₆ double perovskite for clean energy
Machine learning-based electrofacies characterization of the Asmari reservoir in the Ahvaz oil field (SW Iran) using multi-resolution graph-based clustering (MRGC) and hydraulic flow unit (HFU) analysis
Cold atmospheric plasma accelerates wound closure and reduces pathogenic bacterial load in diabetic foot ulcers: a randomized controlled trial
Effects of chamber geometry and ignition sequence on high-pressure pre-mixed H2/O2 flame propagation and deflagration-to-detonation transition
Abstract Numerical simulations were performed to investigate the effects of chamber geometry and ignition sequence on pre-mixed H 2...
Deep learning assisted prediction of microstructure and wear behaviour in plasma nitrided 316 L stainless steel
Privacy-aware vaccine recommendation using federated learning and blockchain
Knowledge flow mechanisms and innovation ecosystem cultivation strategies in the digital transformation of advanced manufacturing clusters
DST-GNN: A dynamic spatio-temporal graph neural network for motor imagery classification
High recall assisted detection of egg laying events in Caenorhabditis elegans using human in the loop validation
Primary tumor resection prior to peptide receptor radionuclide therapy is associated with improved survival in metastatic gastroenteropancreatic neuroendocrine tumors: a systematic review and meta-analysis
Abstract The role of primary tumor resection (PTR) in patients with metastatic gastroenteropancreatic neuroendocrine tumors (GEP-NETs) undergoing peptide receptor radionuclide therap...
Hybrid interferometric near infrared spectroscopy (hybrid iNIRS) enables time-of-flight–resolved non-invasive blood flow monitoring in humans in vivo
Abstract Interferometric near-infrared spectroscopy (iNIRS) uniquely offers time-of-flight (TOF) resolution for depth-resolved optical property and blood-flow assessment in tissue, b...
Structure distortion-driven optical properties and temperature thermometry in one-dimensional hybrid lead halides
Identifying nonlinear dynamical systems using subset regression
Abstract The data-driven discovery of governing equations for dynamical systems has emerged as a transformative paradigm, enabling the extraction of interpretable and generalizable m...
Enhanced deep learning model for anomaly object detection and tracking from surveillance videos
Data-efficient machine learning approach for predicting asthma attack risk
Adaptive cognitive driven cross modal network for few shot fine grained recognition
Abstract Current few-shot learning (FSL) methods struggle with fine-grained texture loss, inefficient cross-modal knowledge integration, and catastrophic forgetting. To resolve these...
Design and mechanical performance of gradient lattice structures based on triply periodic minimal surface
Optimization of TiO2, SiO2, and ATH filler loadings in silicone rubber composites using Box-Behnken response surface methodology
Abstract The electrical industry is continually evolving to develop advanced materials for reliable insulation of wires and components in diverse environments. S...
Shear strength and damage model of silty sand in Daxing 'anling under freeze–thaw cycles
Abstract This study examines the evolution of mechanical properties of silty sand from the Daxing’ anling region under coupled freeze–thaw cycles and confining pressure, using triaxi...
A deep neural network for automatic prediction of mouse behavior from ultrasonic vocalizations emitted during social interaction test
Diagnostic utility of p57Kip2, p53, and maspin in classifying hydatidiform moles
Physics‑decomposed residual learning with PolyRF‑boost for cold gas thrust prediction
Abstract In this paper, a method of compilation and leveling is provided to accurately predict the average thrust of cold gas propulsion. The proposed method, wh...
Robust optimization and stochastic simulation of a centrifugal blood pump under uncertain conditions
Numerical simulation on impact induced concrete fracture by the material point method with an HJC-TCK constitutive model
Abstract The study of the damage and failure process of concrete medium under impact loading is an important research topic in the field of protection engineering. Due to the high pe...