Scientific Reports

Impact of thermal pre-treatment on HDV RNA detection and quantification in clinical practice

3Br-MGD: few-shot toxicity prediction with a three-branch deep encoder and meta-learning framework

Abstract Predicting the toxicity of pharmaceutical compounds remains a major challenge in drug discovery. Early and accurate toxicity assessment is essential for eliminating harmful...

Investigation in the selective targeting of homologous recombination-deficient cells by benzophenanthridine alkaloid nitidine

Sampling strategies for enhancing the analytical performance of a hybrid spectroscopy platform in biomedical applications

Abstract Laser-Induced Breakdown Spectroscopy (LIBS) of liquids poses significant analytical challenges, especially for biological samples such as blood and saliva, where only limite...

Pregnancy outcomes following maternal GLP-1 receptor agonist exposure: a systematic review and meta-analysis

Oral health knowledge, attitude, and practices of parents of autistic children

Mindfulness and artificial intelligence self-efficacy among university students: the mediating role of artificial intelligence literacy

An optimized ensemble learning model for interpretable and efficient obesity classification

The PROTECT databank a population based linked administrative resource on child maltreatment and intellectual disability with early findings

Circadian-oriented intermittent versus continuous enteral feeding is associated with differential circadian clock gene expression in critically ill patients: a randomized controlled study

IPGMVL: based on interactive progressive graph convolution with multi-view learning traffic flow forecasting

Renal NR4A1 predicts ischemic AKI severity and recovery after partial nephrectomy

MOD2SAD: enhancing malicious office document detection through semantic-aware deobfuscation

Abstract Advanced Persistent Threat campaigns have increasingly adopted semantic obfuscation techniques in malicious Office macros, rendering the code logic opaque to traditional scr...

Parameter estimation of proton exchange membrane fuel cells using enhanced Fourier transform optimizer with adaptive learning mechanisms

Abstract The seven unknown parameters in the Amphlett semi-empirical proton exchange membrane fuel cell (PEMFC) model are critical to accurate performance predic...

Revealing hidden nonlinear soliton dynamics, multistable regimes, and chaotic transitions in regularized long-wave equations under complex external forcing

Theoretical study on N(sp2)+–C(sp2)–H···O hydrogen bonds in the context of drug discovery

Coagulation-assisted removal of polystyrene microplastics from aqueous solution using amine-functionalized multi-walled carbon nanotubes with okra extract

A privacy-preserving rule fusion approach for uncertainty-aware decision-making in posture detection

Morphodynamic effects of porosity and tailwater depth on scour mitigation by gabion grade control structures

Metaheuristic optimized hybrid machine learning framework for predicting soil compaction parameters

Population-scale network embeddings expose educational divides in network structure related to right-wing populist voting

Abstract Administrative registry data can be used to construct population-scale networks whose ties reflect shared social contexts between persons. With machine learning, such networ...

Predicting CO2 injection profiles in heterogeneous reservoirs using a physics-aware deep learning framework

A hybrid attention-based spatio-temporal model for deepfake video detection

Comparative repair efficacy of three mesenchymal stem cell sources in rat full-thickness talar cartilage defects

Machine learning reveals mechanisms and feedstock effects on potassium and magnesium uptake by wheat in biochar-amended soil in greenhouse