Machine learning reads conservation test papers to reconstruct old ink chemistry
Researchers trained a neural network on paired indicator-paper and ink measurements from archival manuscripts, recovering elemental ink compositions from protected ...
Researchers trained a neural network on paired indicator-paper and ink measurements from archival manuscripts, recovering elemental ink compositions from protected ...
Researchers have derived the first one- and two-soliton solutions for ion-acoustic waves in Venus's lower ionosphere using nonplanar cylindrical geometry ...
A new review shows how electron backscatter diffraction methods, from Schmid factor mapping to slip trace analysis, quantify which slip ...
A numerical simulation shows that partial-span blade and strut pitch control regulates power and lowers fatigue loads in troposkein-shaped Darrieus ...
A two-stage diffusion framework with automated assessment generated a gymnasium field-level plan for a Xiong'an campus project that researchers report ...
Researchers added 12S rRNA barcodes for 36 South African shark, ray and chimaera species, raising regional reference coverage from 50.3% ...
A survey of 63 Ethiopian bean fields found anthracnose incidence up to 61.23 percent, and laboratory assays showed Trichoderma viride ...
Active cell-cycle progression periodically resets repressive H3K27me3 marks in Arabidopsis bud precursor cells, keeping the meristem gene STM expressed, while ...
A meta-analysis of 2,110 paired observations across 76 nitrogen-fixing plant species finds that nitrogen enrichment raises their biomass by 14.2 ...
Researchers validated a disease-specific deep learning architecture that accurately automates metabolic tumor volume segmentation in Hodgkin lymphoma positron-emission tomography scans.
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© 2026 Scienmag - Science Magazine