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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 ↗1320 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
An Exploratory Randomized Clinical Trial to Assess the Effects of Vitamin D and Leucine-Enriched Whey Protein Supplementation on Inflammaging and Gut Eubacterial Biomass in Cardiac Rehabilitation Patients ↗
Whey protein (WP) supplementation could affect low-grade inflammation (inflammaging) and gut microbiome dysbiosis, both of which play key roles in non-communicable diseases (NCDs). Twenty-seven cardiac rehabilitation patients were randomly allocated to two groups: the case group (CA) (n = 14) received 80 g/die vitamin D and leucine-enriched WP supplement, combined with a standard hospital diet, while the control group (CO, n = 13) received the standard hospital diet alone. Blood and stool samples were collected at baseline (T0) and after two weeks (T1). At T1, serum levels of interleukin 6 (IL…
- OpenAlex · Published · First archived
Clinical Evaluation of a Centralized In-Clinic Direct Culture and Antimicrobial Susceptibility Testing Workflow for Canine and Feline Skin, Ear, and Urine Infections ↗
Background/Objectives: Rapid antimicrobial decision-making in small-animal practice is limited by the turnaround time (≥2 days) of conventional laboratory-based culture and antimicrobial susceptibility testing (AST). Existing point-of-care and in-clinic tests can provide faster results, but their performance often depends on user experience. This study evaluated VetBac, a hybrid workflow in which the test is conducted in the clinic, while experts centrally interpret bacterial growth on plates. Methods: We analyzed 60 interpretable plates from canine and feline skin, ear, and urine infections.…
- OpenAlex · Published · First archived
From Numerical Schemes to Neural Network Architectures: A Physics-Informed Framework for Differential Equations ↗
Physics-informed neural networks usually incorporate differential equations primarily through the loss function, while the neural architecture itself is selected independently of the underlying numerical structure. This work develops a scheme-induced approach in which an analytically modified numerical method defines the computational architecture, while selected elements of the numerical scheme are made trainable and refined using physics-informed loss functions. The specific contribution is the formulation and systematic investigation of a class of scheme-parameterized low-fidelity physics-i…
- OpenAlex · Published · First archived
Atypical fusion among non-malignant cells: Unveiling the link between post-fusion-induced genome chaos and cancer initiation ↗
BACKGROUND: Atypical cell fusion events can disrupt the normal post-fusion process, initiating genome chaos through the merging of parental genomes accompanied by severe and complex gross structural changes. Consequently, unscheduled fusion events can accelerate tumorigenesis by fostering persistent genomic instability, serving as catalysts in the post-hybrid selection process and decisively contributing to the acquisition of novel and malignant properties. Understanding how hybrid cells survive after fusion and identifying specific transcriptional and phenotypic signatures that characterize h…
- OpenAlex · Published · First archived
German dairy cows expose heterogenous bovine meat and milk factor DNA repertoires in milk and reveal Rep expression in mammary tissue ↗
Abstract Bovine Meat and Milk Factors (BMMFs) are plasmid-like DNA elements isolated from bovine blood and milk. Histological studies demonstrated increased expression of a BMMF-encoded protein (Rep) in colorectal cancer tissues, suggesting BMMFs as potential carcinogenic biomarkers. However, the limited BMMF DNA repertoire identified in cancer patients in the context of the high number of known sequences, and BMMF detection in non-bovine foods challenge the hypothesis that early-life meat and milk consumption might contribute to cancer. Therefore, we investigated BMMFs at individual cow level…
- OpenAlex · Published · First archived
Autoencoder-based non-intrusive model order reduction for anisotropic and multi-physics problems ↗
Abstract We propose a non-intrusive, Autoencoder-based framework for reduced-order modeling in continuum mechanics. Our method integrates three stages: (i) an unsupervised Autoencoder compresses high-dimensional finite element solutions into a compact latent space, (ii) a supervised regression network maps problem parameters to latent codes, and (iii) an end-to-end surrogate reconstructs full-field solutions directly from input parameters. To overcome limitations of existing approaches, we propose two key extensions: a force-augmented variant that jointly predicts displacement fields and react…
- OpenAlex · Published · First archived
Generalised Bit-Vector Abstractions for Formal Verification of Quantum Error-Detection and Entanglement Circuits over $$\{H,X,{\text{C-NOT}}\}$$: CSS Constructions, Soundness, and Mutation-Based Validation ↗
Abstract Formal verification of quantum circuits becomes increasingly difficult as circuit size increases, since exhaustive reasoning over the underlying Hilbert space is computationally expensive. In previous work [1], we introduced a bit-vector abstraction that separates the tracking of superposition from basis-state behaviour, enabling SMT-based verification of fixed-size error-detection and entanglement circuits constructed from H , X , and C-NOT gates. This paper extends that framework in five directions. First, we generalise the correctness properties to parametrised repetition and conca…
- OpenAlex · Published · First archived
An iterative knowledge extraction and dual-channel fusion framework for clinical differential diagnosis ↗
For common diseases in the cardiovascular, cerebrovascular, and respiratory systems that present with overlapping clinical manifestations (for instance, chest tightness and shortness of breath), accurate identification is critical for formulating effective treatment plans. However, the unstructured nature of medical records and the implicit relationships embedded in medical knowledge pose significant challenges to automated diagnosis. Existing methods overlook medical commonsense and triplet relational structures, rendering them incapable of capturing symptom–disease associations and consequen…
- OpenAlex · Published · First archived
Genome-wide characterization of the cytochrome P450 superfamily reveals candidate genes associated with specialized metabolism and abiotic stress responses in Dendrobium nobile ↗
Abstract Background Plants produce a diverse range of bioactive molecules, including hormones, specialized metabolites, and defense-related compounds. Cytochrome P450 (CYP) proteins contribute substantially to this chemical diversity. This study systematically identified 242 CYP family genes in Dendrobium nobile L. and analyzed their phylogenetic relationships, protein motifs, gene structures, chromosomal locations, collinearity, cis-elements in the promoter, and expression patterns under abiotic stress and in different tissues. Results The 242 DnCYP proteins were classified into 39 families a…
- OpenAlex · Published · First archived
CrossBlend physics-informed LSTM for nonlinear structural response prediction within a cyber-physical framework ↗
This study develops and evaluates physics-informed deep learning models for predicting nonlinear seismic structural responses within a cyber-physical framework. Four variants of Physics-Informed Long Short-Term Memory (PhyLSTM) models are proposed: baseline windowed and full-sequence PhyLSTM models and their CrossBlend counterparts. The CrossBlend mechanism implements a learnable dual-path displacement blending mechanism within the PhyLSTM framework, in which a sequence-level and floor-wise gating parameter adaptively combines direct displacement prediction with a velocity-integrated displacem…
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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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