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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 ↗1647 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
Sociodemographic and Clinical Determinants of Colchicine Adherence in Adults with Familial Mediterranean Fever: A Cross-Sectional Study ↗
INTRODUCTION: Colchicine is the cornerstone of familial Mediterranean fever (FMF) treatment, effectively preventing attacks and amyloid A (AA) amyloidosis. Its effectiveness depends on long-term adherence; however, data on adult adherence remain sparse. We aimed to evaluate colchicine adherence in adults with FMF and identify factors associated with low adherence. METHODS: This cross-sectional study consecutively enrolled adults with FMF fulfilling Livneh/Tel-Hashomer criteria and receiving colchicine for ≥ 3 months. Adherence was assessed using the Turkish 8-item Morisky Medication Adherence…
- OpenAlex · Published · First archived
A Physics-Informed Digital Twin Framework for Explainable Operational Health Monitoring of Utility-Scale Photovoltaic Systems Using SCADA Measurements ↗
The increasing deployment of utility-scale photovoltaic (PV) systems necessitates advanced monitoring frameworks capable of providing interpretable operational assessments beyond conventional SCADA visualization and threshold-based supervision. This study proposes a physics-informed analytical digital twin framework for monitoring the operational behavior of a grid-connected PV system using synchronized three-phase electrical measurements. The framework integrates SCADA data acquisition and preprocessing, physics-informed electrical feature engineering, Composite Health Index (CHI) constructio…
- OpenAlex · Published · First archived
Optimal Design of the Microwave Oven Magnetic Shunt Transformer Using Physics-Based Equivalent Circuit Model and GNN-Guided NSGA-III Method ↗
Magnetic shunt transformers (MSTs) used in microwave ovens are designed with deliberately high leakage inductance for current limiting and voltage regulation. This requirement couples the core dimensions, winding parameters, shunt geometry, material cost, and power losses. This paper presents an optimal design strategy in which every candidate is evaluated by a physics-based equivalent circuit model and a graph neural network (GNN)-guided non-dominated sorting genetic algorithm III (NSGA-III) optimizer. In the proposed framework, all candidate designs are evaluated for their electromagnetic pe…
- OpenAlex · Published · First archived
Photovoltaic tilt optimization using physics-informed machine learning methods ↗
Photovoltaic arrays are typically installed at a tilt angle, measured from the horizontal plane, close to the site latitude; however, this approach can underperform relative to the physics- or data-driven optimum tilt, resulting in suboptimal energy yields. In this work, we introduce a physics-informed machine learning framework to determine the annual fixed tilt that maximizes energy yield for Antalya, Turkiye. To this end, we process daily irradiance records to derive the diffuse fraction and seasonal harmonics. We use the Liu-Jordan isotropic model to generate a physics-based reference curv…
- OpenAlex · Published · First archived
Ancient Nuclear Genome Duplication Events in Vertebrates Facilitated the Functional Diversification of Ohnologous Cytochrome c : Insights from Buergeria Frogs ↗
In vertebrates, a nuclear gene encoding mitochondrial cytochrome c (CYC) was duplicated and diverged into one with ubiquitous expression (somatic-type) and the other with testis-preferred expression (testis-type). In this study, synteny based phylogenetic analyses suggest that cyc ohnologs originated through whole genome duplication (WGD) events in the common ancestor of vertebrates and have been conserved for approximately 450-540 million years. Molecular evolutionary analyses revealed pervasive purifying selection and an approximate Phe/Tyr dichotomy at position 46 between somatic- and testi…
- OpenAlex · Published · First archived
Deep Phenotyping in ReNU Syndrome Identifies a Recognizable Age‐Dependent Clinical Trajectory ↗
Pathogenic variants in the noncoding gene RNU4-2 cause ReNU syndrome, a common neurodevelopmental disorder. Although the core phenotype is well described, longitudinal symptom progression and family perspectives remain insufficiently characterized. We identified 11 individuals with RNU4-2 pathogenic variants through reanalysis of clinical whole genome sequencing (WGS) data from a previously undiagnosed cohort. Using deep phenotyping, including retrospective medical record review and parental insights, we delineated a recognizable age-dependent clinical trajectory. Infancy was characterized by…
- OpenAlex · Published · First archived
Interpretable physics-guided neural networks for state of health estimation of lithium-ion battery ↗
Accurate prediction of lithium-ion battery state of health (SOH) is essential for safe and reliable operation. Although model-based and data-driven methods have achieved significant progress, their lack of decision transparency leads to limited reliability and poor interpretability in industrial applications. To address this key challenge, we propose a novel SOH estimation method based on a Physics-Guided Kolmogorov-Arnold Network (PGKAN). This dual-module coevolutionary architecture integrates an SOH Estimator (SOHE) and a Degradation Mechanism Surrogate (DMS) to co-evolve SOH estimation and…
- OpenAlex · Published · First archived
Comprehensive Identification and Description of Mitochondrial DNA Haplogroups and Sub-Haplogroups in Snow Sheep (Ovis nivicola) in Support of Their Evolutionary History and Conservation ↗
Mitochondrial DNA is a powerful marker for reconstructing maternal lineages and phylogeographic history in wild species. The snow sheep (Ovis nivicola), a mountain ungulate endemic to Siberia and the Russian Far East, is characterized by strong geographic fragmentation and a complex taxonomic structure. A formal mitochondrial haplogroup classification system for the species has, however, been lacking. In this study, we sequenced and analyzed 257 complete mitochondrial genomes representing all major populations across the species’ range. Using phylogenetic reconstruction and diagnostic mutation…
- OpenAlex · Published · First archived
DNA-FRSC: A robust system for DNA-based image storage via deep visual feature representations and error-resilient sequence coding ↗
DNA data storage is emerging as a promising technology for the long-term preservation of large-scale data, and images are among the most common and data-intensive modalities. However, existing DNA-based image storage methods remain limited in terms of storage density, reconstruction quality, and the joint satisfaction of multiple biological constraints. To address these issues, we propose DNA-FRSC, a robust DNA-based image storage method integrating deep visual feature representations with error-resilient sequence coding. An encoder from a Swin Transformer-based deep joint source-channel codin…
- OpenAlex · Published · First archived
Identifying conserved G protein-coupled receptor protein interactions independent of heterotrimeric G proteins and β-arrestins ↗
Abstract The canonical paradigm of G protein-coupled receptor (GPCR) signaling recognizes G proteins, β-arrestins, and GPCR kinases (GRKs) as the primary transducers that shape GPCR signaling. However, multiple studies have demonstrated that other interacting proteins regulate GPCR function in addition to these pathways, termed GPCR-interacting proteins (GIPs). The atypical chemokine receptor 3 (ACKR3) does not couple to G proteins, and β-arrestins have been shown to be dispensable for many of its functions. Here, we employed proximity labeling to identify proteins that interact with ACKR3 in…
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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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