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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 ↗1605 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
Effect of Improved pET Plasmids on Protein Expression Yield and Basal Expression ↗
High-yield recombinant protein expression is a critical requirement in biopharmaceutical development. The pET vector family is among the most widely used systems for protein production in Escherichia coli. Shilling et al. (2020) reported that insertion of a GAGA sequence within the T7lac promoter region of pET28a enhanced protein expression and suggested broad applicability across the pET plasmid family [1]. In this study, the GAGA sequence was introduced into pET16b and pET11a plasmids, and the expression performance of the original and modified vectors was evaluated using two recombinant pro…
- OpenAlex · Published · First archived
A Pediatric Case of Homocystinuria Due to MTHFR Deficiency with Early Clinical Features Resembling Leigh Encephalopathy ↗
Background: Leigh encephalopathy is one of the most common phenotypes of mitochondrial diseases. It is characterized by progressive psychomotor regression, accompanied by elevated lactate/pyruvate ratios in blood and cerebrospinal fluid (CSF) and lactate on MRS, and symmetric lesions in the bilateral basal ganglia on brain MRI. A clinical diagnosis is made based on these findings and is confirmed by demonstrating mitochondrial dysfunction through genetic or enzymatic testing. However, some patients who present with clinical features of Leigh encephalopathy actually develop secondary mitochondr…
- OpenAlex · Published · First archived
Solving the Unsolved: The Role of Fluorescence In situ Hybridization in the Era of Advanced Clinical Genomics ↗
Abstract Recent advances in genomic technologies, including chromosomal microarray analysis (CMA), next-generation sequencing, optical genome mapping, and long-read sequencing, have revolutionized the detection and characterization of genetic disorders. These approaches provide high-resolution identification of sequence-level and copy number variants, substantially improving diagnostic yield. However, several clinically significant chromosomal abnormalities, particularly balanced rearrangements, subtle terminal translocations, insertional events, low-level mosaicism, and complex chromosomal re…
- OpenAlex · Published · First archived
A Reality Gap Taxonomy for Physics-Informed Anomaly Detection in Industrial Control Systems: Cross-Regime Evaluation, Operating-Point and Temporal Distribution Shifts ↗
Physics-informed anomaly detectors for industrial control systems are usually validated on a single synthetic or testbed dataset, which can yield optimistic estimates that do not transfer to deployment-like conditions. This validation-to-deployment discrepancy, the reality gap, is normally treated as one phenomenon and attributed to generic domain shift. We argue that it comprises at least three mechanistically distinct failure modes and propose a taxonomy that separates them by what a practitioner can observe and act on: Type 1, cross-regime evaluation; Type 2, operating-point shift; and Type…
- OpenAlex · Published · First archived
Evolutionary Epigenetic Analysis of Oxidative Balance Score-Associated DNA Methylation Sites Across Mammals ↗
Oxidative Balance Score (OBS) summarizes diet- and lifestyle-related exposures relevant to redox homeostasis, but the evolutionary behavior of OBS-associated epigenetic markers remains unclear. In this study, we conducted a covariate-adjusted epigenome-wide association study (EWAS) in Korean Genome and Epidemiology Study (KoGES) cohorts, adjusting for OBS and cell-type proportions. We identified 26 robust OBS-associated CpG sites. We then mapped these loci to the Mammalian Methylation Consortium dataset (GSE223748) and examined age-related methylation dynamics across nine mammalian species, us…
- OpenAlex · Published · First archived
Cleaner Processes, Safer Products: Environmental and Public Health Pathways for Chinese Herbal Medicine ↗
Chinese Herbal Medicines (CHMs) are at the crossroads of therapeutic practice, agricultural biodiversity, industrial production, and health. Traditional methods of CHM production, such as decoction, solvent extraction, evaporation, and purification, can be efficient but can use large amounts of water and organic solvents, use a lot of thermal energy, and repeat concentration processes. These liabilities are not limited to environmental issues but can also impact occupational exposure, emissions in the nearby communities, quality of pharmaceuticals, transfer of contaminants, and affordability a…
- OpenAlex · Published · First archived
Enhancing protein–ligand pose prediction via dual-branch deep learning with docking-oriented multi-component loss and iterative refinement ↗
Abstract Protein-ligand pose prediction is a core task in structure-based drug discovery because it determines how a ligand fits within a protein pocket and directly affects downstream virtual screening and lead-optimization workflows. Recent graph neural network (GNN) methods have shown promise for protein-ligand pose prediction, while improving the accuracy of an initial docked pose remains an important task. In this work, we present KTransPose, a GNN-based protein-ligand pose-refinement framework that combines a dual-branch architecture, a docking-oriented multi-component loss, and iterativ…
- OpenAlex · Published · First archived
DICD-IE: an expert-annotated benchmark for evaluating pretrained biomedical language models in dental implant literature and clinical knowledge extraction ↗
Dental implant literature contains clinically important information on risk factors, treatments, outcomes, and, in rare cases, co-occurrences with oral cancer have been reported. However, this information is typically embedded in concise narrative statements, which complicates automated extraction and limits large-scale evidence synthesis and structured clinical information extraction. Because existing biomedical datasets and pretrained models are insufficient for this domain due to a lack of implant-specific terminology, procedural context, and clinically relevant relationships reported in im…
- OpenAlex · Published · First archived
Physics-Informed Machine Learning for Fatigue and Fracture Analysis and Prediction: A Scoping Review ↗
Physics-Informed Machine Learning has emerged as a powerful paradigm for fatigue and fracture analysis, combining the data-driven flexibility of neural networks with the consistency of physical laws. This scoping review maps the extent, range, and nature of research on PIML applied to fatigue life prediction, crack growth and propagation, multiaxial fatigue, damage mechanics, prognostics and health management, and structural health monitoring, covering the literature published from 2018 up to August 2026. A comprehensive search strategy integrated the core terminology of the field with broader…
- OpenAlex · Published · First archived
Agentic AI—Physicist Collaboration in Experimental Particle Physics: A Proof-of-Concept Measurement with LEP Open Data ↗
We present an agentic measurement of the thrust distribution in \(e^+e^-\) collisions at \(\sqrt{s}=91.2\) GeV using ALEPH archived data. This work was carried out through an AI agent–physicist collaboration, using interactive natural-language prompting of Anthropic Claude and OpenAI Codex. Under physicist guidance, the agents wrote and executed all analysis code and drafted the majority of the text included in this paper. A fully-corrected thrust spectrum is obtained via Iterative Bayesian Unfolding and Monte Carlo based corrections. The principal contribution of this work is the demonstratio…
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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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