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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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1318 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

    The conformation-selective PI3Kδ inhibitor roginolisib in patients with advanced or metastatic cancer, including metastatic uveal melanoma: first-in-human clinical trial ↗

    Phosphatidylinositol 3-kinase delta (PI3Kδ) promotes tumour cell growth directly or indirectly by activating immune-suppressive cells. In contrast to previous PI3Kδ inhibitors, roginolisib is a selective, non-ATP competitive inhibitor, which locks PI3Kδ into an inactive state and causes an allosteric modulation. In a First-in-Human dose study, continuous daily dosing of roginolisib was investigated in patients with solid and haematologic malignancies. In Part A, 24 patients received escalating doses of roginolisib. In Part B, 20 mostly pre-treated metastatic uveal melanoma (mUM) patients recei…

  2. OpenAlex · Published · First archived

    UPF1, modified by METTL1 via m⁷G, enhances carboplatin sensitivity in retinoblastoma by degrading SIRT1 mRNA and inhibiting mitophagy ↗

    Chemotherapy resistance remains a major therapeutic challenge in retinoblastoma (RB). While the RNA-binding protein UPF1 is known to influence tumor progression by regulating both coding and non-coding RNAs, its specific function and molecular mechanisms in RB are still unclear. Carboplatin (CBP)-resistant cell lines were derived from WERI‑RB‑1 and Y79 cells via stepwise dose escalation. Resistance was assessed using colony formation and apoptosis assays. Overall mRNA m7G levels in tissues and cells were measured by RNA dot blot. To investigate METTL1‑mediated regulation of UPF1, m⁷G‑MeRIP and…

  3. OpenAlex · Published · First archived

    Physics-Informed Neural Network Surrogate Modeling of Three-Dimensional Gas–Liquid Hydrodynamics in Aerated Double-Impeller Stirred Tanks ↗

    This study develops a physics-informed surrogate for predicting three-dimensional gas–liquid hydrodynamics in an aerated double-impeller stirred tank. Reference fields were generated using steady-state computational fluid dynamics (CFD) simulations in ANSYS Fluent at impeller speeds of 200–500 rpm. Three models with identical network architectures were examined: a supervised neural network (NN) trained on CFD data, a boundary-informed neural network (BINN) incorporating boundary constraints, and a physics-informed neural network (PINN) incorporating boundary and reduced physics constraints. At…

  4. OpenAlex · Published · First archived

    Microsatellite and Mitochondrial DNA Reveal Spatial Genetic Variation and Domestic Cat Admixture in Hungarian European Wildcats ↗

    The European wildcat (Felis silvestris) is threatened due to habitat loss and hybridisation with domestic cats (Felis catus), representing a significant conservation challenge in Hungary. We genotyped 118 field-collected cats from seven Hungarian sub-regions and 30 domestic cat references at 14 autosomal microsatellites, and sequenced a 669 bp mitochondrial ND5 fragment from the field samples. At K = 2, STRUCTURE assigned 84 field samples to the wildcat-associated cluster, 18 to the domestic-cat-associated cluster, and 16 (13.6%) to an intermediate membership interval. The combined non-wildcat…

  5. OpenAlex · Published · First archived

    Microfluidic Engineering of Microgels: A Review of Emerging Technologies, Materials, Fabrication Strategies, and Applications ↗

    Microparticles of hydrogels, also known as microgels, have garnered extensive attention due to their versatile properties and wide range of applications in different fields of science, technology, and medicine. Among the developed technologies to produce microgels, the precise control over fluid handling offered by microfluidics enables particular fine-tuning of the shape, size, and composition of microgels. This article provides a review of recent progress in the development of microfluidic technologies for the fabrication of microgels based on different hydrogel-based biomaterials for divers…

  6. OpenAlex · Published · First archived

    Data-Driven On/Off Topology Optimization of Electromagnetic Devices Based on Graph Physics-Informed Neural Networks and Physics-Guided Reinforcement Learning ↗

    Topology optimization of electromagnetic devices is computationally formidable owing to the combinatorial on/off material distribution on unstructured finite element meshes and repeated Maxwell equation solves. This paper develops GPRL-TO, a data-driven framework addressing both difficulties through three synergistic components. First, a graph physics-informed neural network (G-PINN) reformulates the finite element mesh as a graph and predicts element-wise magnetic flux densities under embedded magnetoquasistatic constraints, with two to three orders of magnitude speedup over finite element an…

  7. OpenAlex · Published · First archived

    Knock-Out of Prion Protein Associated with Reactivity and Mitochondrial Abnormalities in a Novel Human Astrocyte Model ↗

    Human prion diseases are fatal neurodegenerative diseases caused by misfolding and aggregation of the cellular prion protein, PrP. Current therapeutic avenues focus on the removal of PrP to decrease its availability in the brain. Numerous studies have investigated the role of neuronal PrP, but few have focused on PrP in astrocytes. Here we present a novel human cell model using astrocytes isolated from dorsal forebrain organoids. These cells are more heterogenous than astrocytes that are directly differentiated from induced pluripotent stem cells and better represent cell morphology in the hum…

  8. OpenAlex · Published · First archived

    Physics-Guided Residual Learning for Full-Angular-Domain Scattering Prediction of Coding Metasurfaces ↗

    Coding metasurfaces provide an effective approach for manipulating electromagnetic scattering through discrete coding states. However, obtaining angular-domain scattering responses for a large number of coding configurations remains computationally expensive with full-wave electromagnetic simulations. To address this issue, this work proposes a Physics-Guided Residual Learning (PGRL) framework for rapid radar cross section (RCS) prediction over the full angular domain. A discrete-aperture model provides an approximate physics-based scattering prior, and a residual convolutional neural network…

  9. OpenAlex · Published · First archived

    Physics-guided residual regression and empirical-error-constrained design exploration for frp-reinforced concrete slab–column connections ↗

    Abstract Punching shear is a brittle limit state in concrete flat slabs, and its assessment is still uncertain when fiber-reinforced polymer (FRP) bars replace steel flexural reinforcement. This study develops a physics-guided residual-ridge model for interior, concentrically loaded FRP-reinforced slab–column connections without shear reinforcement. The development database includes 143 tests from 28 experimental programs: 93 GFRP, 39 CFRP, and 11 BFRP specimens. A modified KDS 14 formulation provides the mechanical baseline, and ridge regression estimates the logarithmic test-to-model residua…

  10. OpenAlex · Published · First archived

    DNA methylation differences between female and male X chromosomes in human brain ↗

    Abstract Background DNA methylation is a key epigenetic mechanism of sex chromosome regulation. However, DNA methylation studies often exclude X chromosomes. Moreover, widely used DNA methylation assays interrogate biased subsets of CpGs, rather than assessing CpGs across the whole chromosome. Consequently, our understanding of X chromosome DNA methylation lags behind that of autosomes. Results Here we addressed this gap of knowledge by investigating X chromosome DNA methylation in 89 whole genome methylomes from neurons and oligodendrocytes. Using this unbiased and comprehensive data, we show…

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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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