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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 ↗1653 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.
- Europe PMC · Published · First archived
Identification and characterization of a novel Taupapillomavirus strain in lymphoid tissue of a stray dog. ↗
In this study, viral metagenomic approach was employed to identify a novel canine papillomavirus (CPV) strain in the lymphoid tissue of a stray dog. The complete circular genome (8,297 bp) of a novel papillomavirus strain, designated canpapil01, was characterized and taxonomically assigned to the genus Taupapillomavirus. The genome encodes five early genes (E1, E2, E4, E6, E7) and two late genes (L1 and L2), lacking the E5 gene. Conserved motifs essential for viral replication and host interaction were identified, including ATP-binding and cyclin interaction sites in E1, DNA-binding domains in
- Europe PMC · Published · First archived
Development of a bacterial mixed culture preventing bacterial storage diseases of root vegetables. ↗
The storage of root vegetables is a critical aspect of agricultural production, significantly impacting both the quality and quantity of produce available for consumption. This study aimed to develop a bacterial consortium capable of preventing storage bacterial diseases in root vegetables. A total of 225 bacterial strains were isolated from various ecological niches, including crops, peri-root soils, coastal dune soils, sewage sludge, and symbiotic bacteria of common insect pests. These strains were characterized for their ability to grow at storage temperatures (4 °C) and produce cellulase,
- Europe PMC · Published · First archived
The Impact of Age, Comorbidity, and Current Medication Use on Plasma p-tau217 in Adolescents: A Pilot Study. ↗
Adolescence is a critical period of neurodevelopment with the emergence of chronic medical conditions and increasing exposure to long-term medications. Phosphorylated tau at threonine 217 (p-tau217) is a sensitive blood-based biomarker of neuropathology in older adults, yet its developmental behavior and susceptibility to common clinical factors in youth are unclear. Here we tested whether p-tau217 varies with age, comorbidity, or medication use during adolescence and whether collection method (venous vs Tasso+ capillary) yields comparable concentrations. In an adolescent cohort, plasma p-tau2
- Europe PMC · Published · First archived
Engineering a Ribozyme with Aminoacyl-tRNA Synthetase Activity. ↗
A ribozyme that can charge a tRNA with amino acids and discriminate between cognate and non-cognate tRNAs is of interest because an RNA with this ability may have been critical for translation in the transition from the RNA world. In addition, a fully optimized ribozyme could provide a tool for incorporating non-canonical amino acids for biotechnology applications. Here, we rationally engineer a ribozyme by fusing a tRNA binding module derived from a T-box riboswitch with a catalytic module (a flexizyme) to generate a ribozyme that can aminoacylate a target tRNA. We demonstrate that this riboz
- Europe PMC · Published · First archived
Enantioselective Glucose Oxidase Adsorption on Helical Polyaniline for In Vitro Antitumor Effect. ↗
Chiral nanomaterials have drawn considerable attention across biological research. However, in-depth study linking enantioselective protein adsorption on chiral nanomaterials to antitumor efficacy is still scarce. In this study, chiral helical polyaniline (PANI) with left-handedness (M-PANI) and right-handedness (P-PANI) are constructed. Thermodynamic study and molecular dynamics simulations reveal the higher binding affinity of P-PANI toward glucose oxidase (GOx) than M-PANI. As a result, a greater quantity of GOx is adsorbed onto P-PANI, leading to the chirality-dependent amount of GOx in M/
- Europe PMC · Published · First archived
GWAS studies and polygenic risk scores in organ transplantation. ↗
Purpose of review To summarize recent developments published between 1 January 2024 and 15 August 2026 in genome-wide and polygenic analyses of solid organ transplantation, with a focus on kidney, heart, liver, and lung transplantation. Recent findings Recent studies demonstrate that posttransplant phenotypes can reflect distinct genetic contributions from the recipient, donor organ, and donor-recipient pair. Donor and recipient polygenic risk scores have been associated with graft function, graft survival, and posttransplant complications, although their incremental predictive value beyond cl
- arXiv · Published · First archived
Jev in Medicine: A Benchmark Evaluation. Preliminary Results ↗
Jev is a non-generative "System One" model that assigns probabilities to predefined answer options and cannot answer outside them. Its accuracy and calibration on medical question-answering and case-based diagnostic-reasoning tasks are unknown. We evaluated Jev 1.13 on four medical benchmarks: MetaMedQA, PubMedQA, DiagnosisArena-MCQ and the NEJM Case Challenges. GPT-6 Sol, with (medium) and without reasoning, was the reference. The primary outcome was top-1 accuracy; key secondary outcomes were calibration, selective prediction and recognition of unanswerable questions. All 8,469 requests retu…
- arXiv · Published · First archived
When Known Physics Helps Neural PDE Models: Residual Constraints Out-Regularize Generic Priors for Nonlinear Dynamics ↗
Neural PDE surrogates increasingly incorporate structural priors, yet it is often unclear whether their gains arise from physics-specific information or simply from regularization and training choices. We evaluate several such priors under a common protocol against a matched from-scratch neural operator baseline. Our central result is that a known-equation residual consistently outperforms the best generic regularizer at equal tuning budget. At fixed capacity this benefit appears across linear and nonlinear PDEs, but a capacity sweep reveals a sharp distinction: the advantage persists and grow…
- arXiv · Published · First archived
EHRAdapt: Adapting Pretrained Language Models to Electronic Health Records with Semantic Priors for Rare Clinical Events ↗
Electronic health records (EHRs) encode clinical histories as (time, modality, code) tuples, whereas pretrained language models expect text tokens. Serializing them as text inflates sequence length and redundantly encodes structure. We introduce EHRAdapt, an adapter that maps tuples directly into a frozen language model's embedding space. Modality receives a learned embedding, time gaps enter through learned attention biases, and event codes receive dedicated vectors. Learning event vectors is the central challenge: clinical vocabularies are long-tailed, leaving rare events too few observation…
- arXiv · Published · First archived
T-SNN: Temporal Simplicial Neural Network for EEG Decoding ↗
Decoding brain states requires models that capture both the evolution of neural activity and interactions among groups of brain regions. Existing EEG methods often treat recordings as multivariate time series or represent functional connectivity with pairwise graphs, leaving dynamic higher-order interactions largely unmodeled. We introduce the Temporal Simplicial Neural Network (T-SNN), which represents EEG recordings as sequences of evolving simplicial complexes. By combining simplicial convolutions with recurrent updates, T-SNN jointly learns higher-order interactions and their temporal evol…
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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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