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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.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗1327 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.
- OpenAlex · Published · First archived
Clinical and MEFV variant characteristics of pediatric patients with an FMF-compatible phenotype and PFAPA-compatible features in a Palestinian referral cohort: a retrospective study ↗
Familial Mediterranean fever (FMF) and periodic fever, aphthous stomatitis, pharyngitis, and cervical adenitis (PFAPA) syndrome may share clinical manifestations, complicating phenotypic classification in children from populations in which MEFV variants are frequent. This study characterized the clinical and genetic features of a pediatric Palestinian referral cohort with an FMF-compatible phenotype and described the subgroup that also fulfilled PFAPA clinical classification criteria. This retrospective two-center cohort included 169 patients aged ≤ 18 years who were retrospectively classified…
- OpenAlex · Published · First archived
Computationally Guided Design and Experimental Validation of ssDNA Aptamers Targeting the SARS-CoV-2 Spike Protein ↗
Aptamer development has traditionally relied on iterative, labor-intensive experimental approaches. Recent advances in bioinformatics and computational power now enable the rational in silico design of high-affinity nucleic acid ligands, drastically reducing time and cost. Here, we present an integrated computational pipeline for designing ssDNA aptamers targeting the receptor-binding domain (RBD) of the SARS-CoV-2 Spike (S) protein. A library of 4000 randomly generated 20-nucleotide sequences with defined base ratios (C:G:A:T = 3:3:2:2) was screened based on secondary structure and free energ…
- OpenAlex · Published · First archived
HOXA5 silencing via DNA methylation reveals the critical role of HOX gene deregulation in oral carcinogenesis ↗
Abstract HOXA5 , a member of the HOX family, has been characterized as a tumor suppressor in several cancers. However, its regulation and role in oral cancer (OC) remain unclear. HOXA5 expression was assessed by transcriptome analysis and qRT-PCR, while methylation was evaluated using methyl-capture sequencing and bisulfite Sanger sequencing in a clinical cohort comprising OPMD, LN(-) and LN(+) groups and in vitro models. The effects of DNA methylation and retinoic acid were examined using DNMT inhibitors (DNMTi) and/or retinoic acid (RA). Promoter activity and RARB occupancy were assessed by…
- OpenAlex · Published · First archived
Real-time hydrogen gas explosion prediction from fuel cell vehicles by physics-informed graph neural network ↗
Hydrogen fuel cell vehicles (HFCVs) generate electricity from hydrogen via electrochemical reactions and offer an efficient, environmentally friendly pathway to the dual‑carbon targets. Nevertheless, hydrogen leakage can rapidly mix with air to form large flammable vapor clouds. In congested urban areas, the resulting vapor cloud explosions may cause severe structural damage and significant economic losses. Machine learning techniques have been developed to predict the evolution of gas explosions. Nevertheless, accurately capturing the spatial relationships among obstacles and predicting explo…
- OpenAlex · Published · First archived
Physics-guided data fusion for settlement prediction of high-fill railway embankments ↗
Settlement prediction for high-fill railway embankments is challenged by monitoring noise and stage-dependent deformation across construction and operation. This paper presents a physics-guided framework integrating multivariate construction information with settlement monitoring data. Monitoring sequences are denoised by a hybrid autoencoder with a signal-to-noise-ratio-based cleaning mechanism. A temporal graph convolutional neural network embeds a modified layer-wise summation formulation to guide variable interactions and settlement prediction. On the analysed dataset, the model achieved a…
- OpenAlex · Published · First archived
Comparison of a Parametric Physics-Informed Neural Network and a Tensorial Reduced-Order Model for the Shallow-Water Dam-Break Problem ↗
We develop two parametric data-driven reduced models: a physics-informed neural network (PINN) and a non-intrusive tensorial reduced-order model (TROM), and apply both approaches to the parametrized one-dimensional shallow-water dam-break problem. Both reduced models do not require time integration and learn a direct solution map from space, time, and dam-break parameters to the physical state. We present a detailed comparison for out-of-sample and extrapolated parameter values. In addition, we demonstrate that it is essential to introduce shock-aware collocation to improve the robustness of t…
- Europe PMC · Published · First archived
A chromosome-level genome assembly of the chilli thrips Scirtothrips dorsalis Hood (Thysanoptera: Thripidae) ↗
Thrips are known for being pests of many agricultural crops, as well as vectors of plant viruses. Yet despite their economic importance, genomic resources for this group remain limited, and no chromosome-level genome has been available for the genus Scirtothrips. One such species is the chilli thrips, Scirtothrips dorsalis Hood (Thysanoptera: Thripidae). This invasive and highly polyphagous pest is established across much of the world and transmits several tospoviruses. Genomic resources would provide a new means to understand the traits that make thrips difficult to manage. Here, we present a
- Europe PMC · Published · First archived
Targeted Depletion of rRNAs and Tobamoviruses Enhances Viral Discovery in Wastewater Metatranscriptomes ↗
Wastewater contains a complex mixture of nucleic acids derived from human cells, microorganisms, diets, and agricultural or industrial inputs. Metatranscriptomics has the potential to broaden the understanding of wastewater viromes, but its utility is constrained by high-abundance RNA molecules that prevent the detection of lower-abundance signals, including human pathogens. Two major sources of this interfering background signal are ribosomal RNAs (rRNAs) from various organisms, and plant-infecting tobamoviruses from human diets, which are often the most abundant RNA viruses in wastewater. Th
- Europe PMC · Published · First archived
Additive in size, synergistic in composition: selection across the eastern oyster larval genome under coastal acidification and sewage effluent ↗
Coastal organisms experience natural and anthropogenic stressors simultaneously, yet the interactive effects of multiple stressors are largely unknown. In urbanized estuaries, coastal acidification (CA) is coupled to sewage effluent (SE): nutrient loading from SE stimulates microbial CO2 production, and this lowers the pH. The genomic targets of selection of CA and SE have been characterized separately but never together in early life stages of marine organisms. Here, we exposed eastern oyster (Crassostrea virginica) larvae to control, CA (~2800 μatm pCO2), SE (5% by volume), and the combinati
- Europe PMC · Published · First archived
Organelle intergenic DNA is preferentially distributed between opposite-polarity gene pairs. ↗
Across eukaryotes, mitochondrial and plastid genomes vary enormously in size and noncoding content. This variation is often attributed to diverging mutation rates, DNA repair mechanisms, and the power of genetic drift. Although these processes can help explain how much noncoding DNA an organelle genome may retain, they do not explain how this noncoding DNA is distributed throughout the genome. We analyzed over 2.6 million intergenic regions (IGRs) from ~37,000 mitochondrial and plastid genomes to test whether gene-pair polarity marks local differences in the distribution of organelle intergeni
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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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