Scientific Reports
Articles in this Issue
Mapping metabolic modules to chemotypic variation in Iranian Anethum graveolens L. ecotypes under harvest times
Kitchen waste-derived activated carbon from Murraya koenigii seeds as an electrode material for supercapacitors
Legume cover cropping enhances soil function and yield stability in wheat–maize systems under groundwater overexploitation in the North China Plain
Gender gap in returns to publications
Abstract Gender equity in science depends not only on who participates in research, but also on how their work is rewarded. We examine gender gaps in monetary returns to research pro...
Personality development from early to middle adulthood in the general population and those with mental health difficulties
A new approach to evaluation and recalibration of the reference evapotranspiration models based on pan evaporation for Iran’s coastal regions
Tunable mechanical, corrosion, and antimicrobial performance in multifunctional Cux‑Cr-Fe-Mn-Ni high-entropy alloys and E-beam coatings
Abstract Cu x -Cr-Fe-Mn-Ni high-entropy alloys and their electron-beam-deposited coatings demonstrate a tunable balance o...
Digital readiness and family support are associated with later learning engagement through digital self-efficacy among rural Chinese children
Abstract Digital technologies are increasingly embedded in primary education, yet rural children’s engagement may depend not only on access to technology but also on readiness to use...
Hydrodynamic control of fluvial oncoid formation in a modern high-energy tropical cascade system
Sustainable–resilient and climate-responsive e-waste supply chain network design under uncertainty using four-valued refined neutrosophic optimization
A model system test of trophic transmission of RNA interference effects using the milkweed bug Oncopeltus fasciatus (Hemiptera)
Nanozymatic platform for dual colorimetric and fluorimetric sensing of H₂O₂ and glucose using Ni-CoWO₄ nanoparticles
Three-minute walk test as a practical screening tool for detecting exertional hypoxemia in fibrotic interstitial lung disease: a real-world cohort study
Enhancing anomaly-based zero-day attack detection framework using CNN-driven feature extraction and OC-SVM
Plagiarism awareness in post-graduate students: case study
Abstract Plagiarism in academic contexts presents a substantial ethical challenge within the field of publishing, impacting a diverse array of individuals, including faculty members...
Named entity recognition for coal mining machine assembly based on domain large language model
How game score shapes anticipatory swing decisions in baseball players: a functional MRI study
Comparative mechanical properties of polyester and polyethylene composites reinforced with sunflower seed hull fibers
Multifunctional cobalt ferrite nanoparticles with optimized cobalt doping for enhanced photo-Fenton catalysis, energy storage, and antifungal applications
Abstract Designing cost-effective, eco-friendly, and high-performance nanomaterials remains crucial for advancing next-generation technologies in environmental r...
Digit-tracking reveals curiosity-driven visual attention in macaque monkeys
Abstract We used digit-tracking, a touch-based method for assessing visual attention, to investigate spontaneous exploration in macaque monkeys. By engaging with degraded images on a...
Parasitically coupled 16-port massive MIMO antenna for mmWave applications
Abstract This article presents a 16-port compact (26.2 $$\times$$ 79...
Urbanization drives phenotypic differences but not asymmetry in the damselfly Ischnura elegans
Abstract Urbanization is a challenging environment and has a profound impact on organisms. Cities may be the source of important phenotypic changes and lead to d...
Riccati-based analytical framework for solving the potential Korteweg-de Vries equation
Combined impact of jet stream and turbulence on long-term trans-oceanic flight routes over North Atlantic Ocean using ERA5 reanalysis
A computational model to describe multi-regional brain architecture during neurodegeneration in Alzheimer’s disease
Abstract We previously proposed an MRI-based machine learning model to describe the mesoscopic architecture of the human brain to aid in classifying subjects as having non-AD related...