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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 ↗1321 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
What modern genomes overlook: Ancient DNA rewrites the phylogeography of European atlantic salmon (Salmo salar) ↗
Conservation plans for declining species often rely on contemporary genetic/genomic data to infer historical population structure and evolutionary history of the species. However, modern samples alone may not accurately reflect historical genetic variation, especially after severe population declines or intensive management, and need reference baseline data prior to anthropogenic impact. We analyzed whole-genome sequences dating to 18,800–16,700 years ago from Atlantic salmon ( Salmo salar ), that experienced major declines over the past century. Comparing Paleolithic and modern genomes, we fo…
- OpenAlex · Published · First archived
BCOR Biology in Development and Cancer ↗
BCOR is a transcriptional corepressor and a core component of Polycomb repressive complex 1.1 (PRC1.1) with diverse roles in development and disease. Germline loss-of-function BCOR mutations cause oculofaciocardiodental syndrome, whereas diverse somatic alterations drive various malignancies. In myeloid neoplasms, loss-of-function truncating mutations disrupt BCOR-mediated transcriptional repression and cooperate with concurrent oncogenic events. Meanwhile, BCOR fusions and internal tandem duplications define distinct tumor entities in sarcomas and brain tumors. Growing evidence indicates that…
- OpenAlex · Published · First archived
Quercetin–bromelain supplementation and clinical outcomes of COVID-19: a randomized, double-blind, placebo-controlled trial in hospitalized patients in Tunisia ↗
Abstract Background Coronavirus disease 2019 (COVID-19) may be complicated by respiratory deterioration and cardiovascular events, especially in hospitalized patients with underlying comorbidities. Quercetin and bromelain have been investigated for their anti-inflammatory, antioxidant, and immunomodulatory properties and may represent potential adjunctive therapeutic agents in COVID-19. Objective To evaluate the effect of a quercetin–bromelain formulation on respiratory deterioration and clinical complications in hospitalized patients with COVID-19. Methods This prospective, randomized, double…
- OpenAlex · Published · First archived
Physics-Guided Machine Learning for Joint Fault Diagnosis in Inverter-Fed Induction Motor Drives ↗
In intelligent electric vehicle (EV) traction drives, pulse-width modulation and field-oriented control (FOC) introduce broadband harmonics and non-stationary start-up transients. These dynamics obscure incipient inter-turn stator faults (ITSF), particularly when inverter switch failures and measurement interference co-occur. To meet the low-latency requirements of on-board vehicle control units (VCUs), this paper proposes a data-centric, physics-guided diagnosis pipeline. Relying exclusively on current measurements, the framework jointly detects and localises ITSF (1–3% severity), open-circui…
- OpenAlex · Published · First archived
FusionEP: Adaptive Cross-Modal Deep Fusion Network for Essential Protein Identification via Multi-Omics Integration and Contrastive Learning ↗
Identifying essential proteins lays a foundation for dissecting disease mechanisms and mining therapeutic targets. Existing algorithms mostly adopt unimodal inputs and struggle to capture multi-level biological interactions from genomics, subcellular localization and proteomics. We present FusionEP, which is an adaptive cross-modal deep fusion network built upon contrastive learning to predict essential proteins. FusionEP integrates gene expression profiles, subcellular localization features, and protein interaction map structures. For gene expression information, we design a six-layer Transfo…
- OpenAlex · Published · First archived
Engineering Carbon Nanotube Quantum Well Defects With Recognition Tripeptides for Optical Detection of Extracellular Vesicles in Plasma ↗
ABSTRACT Extracellular vesicles (EVs) carry surface proteins that reflect the molecular signatures of their originating cells. However, their low abundance and the modest sensitivity of current EV detection methods in complex biological environments limit access to EV surface biology in the native biological context. Here, we present a near‐infrared optical nanosensor comprising a quantum well defect functionalized carbon nanotube coupled with integrin‐recognition RGD tripeptide to detect surface integrins on EVs in a human plasma background. The nanosensor achieved sub‐picomolar detection of…
- OpenAlex · Published · First archived
Multimodal Sensing and Digital Biomarkers in Virtual Reality-Based Cognitive Rehabilitation: Clinical Validation, Adaptive Systems, and Real-World Translation ↗
Virtual reality (VR) is evolving from a platform for cognitive exercises into an instrumented rehabilitation environment capable of simultaneously delivering treatment and quantifying behavior. This critical narrative review examines how behavioral, ocular, kinematic, physiological, and neurophysiological signals can be transformed into clinically meaningful digital measures, candidate biomarkers, adaptive interventions, and real-world functional outcomes. PubMed/MEDLINE, Scopus, and IEEE Xplore were searched from database inception to 20 September 2026, supplemented by backward and forward ci…
- OpenAlex · Published · First archived
Sublethal Effects of Abamectin on the Detoxification Enzyme System, Growth, and Reproduction of Cylas formicarius (Fabricius) ↗
Cylas formicarius (Fabricius, 1798) (Coleoptera: Brentidae), the sweetpotato weevil, is an important quarantine pest in sweetpotato production. Exploring the detoxification enzyme responses of pests under pesticide stress helps to clarify the physiological mechanism of pesticide tolerance. Meanwhile, evaluating sublethal pesticide effects on population life tables is critical for revealing transgenerational ecological risks and guiding sustainable pest management. In this study, we analyzed how abamectin affected detoxification enzyme systems, fecundity, growth, and development of C. formicari…
- OpenAlex · Published · First archived
Circulating sphingomyelins and mortality in a community-based Korean cohort: the Korean Genome and epidemiology study ↗
Circulating sphingomyelins (SMs) have been proposed as biomarkers of mortality and cardiovascular risk, but findings have varied across populations. We aimed to evaluate the associations in a community-based Korean cohort. This cohort study included 2,434 participants from the Ansan–Ansung cohort of the Korean Genome and Epidemiology Study. Seven SM species were measured at the 2005–2006 examination, and mortality data were linked through December 2024. Associations with all-cause, cardiovascular, and non-cardiovascular mortality and the composite cardiovascular outcome were examined using Cox…
- OpenAlex · Published · First archived
Enerzyme: An Efficient Reactive Neural Network Potential Training Framework for Enzyme Cluster Models with Application to Methyltransferases ↗
Abstract Quantum mechanical (QM) cluster models provide an effective framework for mechanistic studies of enzymatic reactions but QM calculations remain computationally demanding. Neural network potentials (NNPs) offer a promising route to reduce their cost, but enzymes introduce new challenges not faced by NNPs for small molecules, including large system sizes, the need for inclusion of solvent environments, substantial polarization, and charge transfer. Here, we demonstrate an integrated software framework for efficient training of NNPs for mechanistic study of enzymes, with demonstrations o…
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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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