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Earlier sources: Science

Science investigates the natural world through observation, experiments, and mathematical models. Explore papers and developments in biology, medicine, materials, neuroscience, physics, climate, and mathematics; a reported finding is not necessarily established consensus.

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1329 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.

Earlier sources

Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.

  1. OpenAlex · Published · First archived

    ViSSR: Physics-Informed Hybrid Vision-LSTM/State-Space Super-Resolution for Digital Rock Microstructure Analysis ↗

    Digital Rock Physics (DRP) requires high-fidelity pore-scale imaging, yet micro-computed tomography (μ-CT) trades spatial resolution against field of view, and standard super-resolution (SR) often fails to preserve transport-controlling pore topology. We propose Vision-LSTM and State-Space Super-Resolution (ViSSR), a physics-informed hybrid residual SR network that couples Vision-LSTM (ViL) for local anisotropic texture with a Mamba-based 2D selective state-space module (SS2D) for linear-complexity global context, and restores high-frequency structure via scale-conditioned residuals under an e…

  2. OpenAlex · Published · First archived

    Cold Stress-Induced DNA Methylation Profiling and Its Association with Terpenoid Biosynthesis in Germinating Mikania micrantha Seeds ↗

    Mikania micrantha, a highly invasive weed, faces constraints on its northward range expansion in South China due to low winter temperatures. Although DNA methylation is increasingly recognized as a mediator of plant stress adaptation, it remains unknown whether epigenetic regulation couples cold-stress tolerance with the production of allelopathic secondary metabolites in invasive plants. Here, we comprehensively characterized genome-wide DNA methylation dynamics and their transcriptional consequences in germinating embryos under three temperature regimes (14 °C, 25 °C, and 30 °C) by integrati…

  3. OpenAlex · Published · First archived

    Immunoinformatics-based design and in silico evaluation of a multi-epitope vaccine candidate against Naegleria fowleri ↗

    Primary amoebic meningoencephalitis (PAM) is caused by Naegleria fowleri , a free-living amoeba. It is a fatal infection with more than 95% mortality rate. Even though several combinations of antimicrobial agents were used to treat the condition, the overall survival remains poor and no effective vaccine is currently available. In this study, an immunoinformatic approach was utilized for designing a multi-epitope vaccine against N. fowleri . The sequences of antigenic proteins were retrieved for epitope prediction. The computational prediction identified 400 CTL, 590 HTL, and 65 B-cell high-bi…

  4. OpenAlex · Published · First archived

    Quinones as Optical Signal Transducers: Emerging Roles in Spectroscopic Sensing, Carbon Dots, and Enzyme-Free Immunoassays ↗

    Quinones have emerged as versatile optical signal transducers in spectroscopic analytical chemistry because of their unique redox activity, electron-transfer capability, reactive oxygen species generation, and tunable photophysical properties. Beyond their traditional roles as biologically active molecules and electrochemical mediators, quinones now function as derivatization reagents, fluorescence-modulating probes, recyclable chemiluminescent and colorimetric signal amplifiers, functional nanomaterial components, and stable labels for enzyme-free immunoassays. This review presents a unified…

  5. OpenAlex · Published · First archived

    Representation choice shapes the interpretation of protein conformational dynamics ↗

    Abstract Molecular dynamics simulations provide detailed trajectories at the atomic level, but extracting interpretable and robust insights from these high-dimensional data remains challenging. In practice, analyses typically rely on a single representation. Here, we show that representation choice is not neutral: it fundamentally shapes the conformational organization, similarity relationships, and apparent transitions inferred from identical simulation data. To complement existing representations, we introduce Orientation features, a geometrically grounded, rotation-aware encoding of protein…

  6. OpenAlex · Published · First archived

    Decoupled Multiplicative Physics-Guided Neural Network for Extrapolative Modeling of GaN HEMT ↗

    Rapid direct-current (DC) surrogate modeling of gallium nitride (GaN) high-electron-mobility transistors (HEMTs) requires accurate prediction of the current-capability, conduction-loss, and self-heating indicators used in geometry screening. This work presents an electrothermal decoupled multiplicative physics-guided neural network (ET-DM-PGNN) for this task. It combines a gray-box backbone, separate high- and low-field polarization channels, a latent DC self-heating update, and bounded target-specific multiplicative residuals. A two-stage strategy first calibrates the complete surrogate and t…

  7. OpenAlex · Published · First archived

    Cellular mechanism of gain-of-function mutation I173M in sheep MC4R gene identified in year-round and seasonal estrus breeds through whole-genome resequencing ↗

    Abstract Background Investigating key genes regulating year-round estrus can improve sheep reproductive performance and industry efficiency. Although several candidate genes have been proposed, the key regulators underlying estrus seasonality remain unclear. Therefore, this study aimed to identify critical genetic variants associated with year-round estrus using whole-genome resequencing data from multiple sheep breeds. Results In this study, we analyzed whole-genome resequencing data from 392 sheep across six year-round and ten seasonal estrus breeds, and identified the Melanocortin 4 recepto…

  8. OpenAlex · Published · First archived

    Development of loop-mediated isothermal amplification (LAMP) combined with a lateral flow dipstick DNA biosensor for detection of α thalassemia 1 [Southeast Asia (SEA), --SEA deletion] ↗

    This study aimed to develop a one-step loop-mediated isothermal amplification combined with a lateral flow dipstick (LAMP-LFD) DNA biosensor for the detection of α 0 -thalassemia (SEA deletion). Genomic DNA was obtained from 48 α 0 -thalassemia (SEA deletion)-positive and 48 (SEA deletion)-negative (normal) Thai subjects. DNA was analyzed by LAMP assay at 61°C for 60 min using specific primers for the α 0 -thalassemia (SEA deletion) type. Following amplification, the products were visually detected using an LFD, with results available within 5–10 min. The one-step LAMP-LFD DNA biosensor could…

  9. OpenAlex · Published · First archived

    Organellar Genome Analysis of the Red Alga Acrosorium flabellatum (Rhodophyta, Ceramiales, Delesseriaceae): Evidence of Gene Duplication and Group II Intron in cox1 Gene ↗

    Mitochondrial genomes (mitogenome) offer important information about evolutionary history, genomic diversity, and structural dynamics of Rhodophytes. The complete mitochondrial genome of Acrosorium flabellatum Yamada, 1930 (Delesseriaceae, Ceramiales), is reported in this study. The circular mitogenome spans 31,818 bp and has a biased A+T (78.8%) composition. The mitogenome contains 61 genes, including two rRNAs, 33 tRNAs, 24 protein-coding genes (PCGs), and two open reading frames (ORFs). Notably, the mitogenome contains several duplicated genes (nad6, sdh3, sdh2) and a Group II intron within…

  10. OpenAlex · Published · First archived

    Physics-Informed Machine Learning Framework for Predicting Joule Heating Activated Shape Recovery in Carbon Fiber Reinforced Shape Memory Epoxy Composites ↗

    Shape memory epoxy composites recover a programmed shape when Joule heating drives the matrix through its glass transition, and a key challenge for these smart materials is predicting the recovery angle at drive currents outside the tested range. In this work, three models were compared for this task: a Kohlrausch–Williams–Watts (KWW) theory based Physics-KWW constitutive model, a gradient-boosted tree model (XGBoost) using thermomechanical state features, and a support vector regression (SVR) model using raw experimental variables together with thermomechanical features. All models were asses…

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How to assess evidence about Science

Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.

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