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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 ↗1311 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
Clinical validation of a morphometric artificial intelligence system for detecting osteoporotic vertebral compression fractures on plain radiographs ↗
Osteoporotic vertebral compression fractures (OVCFs) are a major cause of morbidity and mortality in aging populations, and plain radiography—the most available modality for initial assessment—is operator-dependent. This study evaluated the diagnostic performance and clinical utility of a deep learning-based morphometric artificial intelligence (AI) model for detecting OVCFs and quantifying vertebral compression rates on plain radiographs. A total of 100 patients (780 vertebral bodies; 685 normal, 95 fractured) with suspected vertebral compression fractures were retrospectively analyzed. All p…
- OpenAlex · Published · First archived
A Hybrid CNN–iTransformer Framework with Physics-Informed Regularization for Accurate MOSFET RUL Estimation ↗
Accurate forecasting of MOSFET on-state resistance drift can support remaining useful life (RUL) estimation under thermal overstress. Existing methods seldom combine local degradation patterns, long-range feature interactions, and a failure-mode-specific prior in one forecasting framework. We propose a CNN–iTransformer model that uses on-state resistance drift as its health indicator and includes a finite-difference sensitivity constraint. On the four test records reported in this study, the average mean absolute error (MAE), root mean square error (RMSE), and relative error (RE) were 2.996 ×…
- OpenAlex · Published · First archived
SPRIZ (CCDC127) protein conserved in deuterostome animals is a rigid OMM–IMM tether that locally sets mitochondrial IMS volume ↗
The double-membrane nature of mitochondria generates an intermembrane volume through which ions, reactive oxygen species, and metabolites must flux to reach the matrix or cytosol, but whether this volume is a genetically specified structure remains unknown. We identify SPRIZ (spatial regulator of the intermembrane zone), the product of Ccdc127 , a gene conserved across deuterostome animals. SPRIZ assembles into an ∼18-nanometer homodimeric tether anchored in the outer mitochondrial membrane (OMM) and inserted into the inner mitochondrial membrane (IMM) through vertebrate-specific hydrophobic l…
- OpenAlex · Published · First archived
A transcriptional cofactor GRIP1 drives PPARγ DNA binding and p300-dependent enhancer activity during homeostatic macrophage polarization ↗
Homeostatic macrophages maintain tissue health and resolve inflammation. Upon sustained exposure to type II cytokine IL4, transcription factors STAT6, KLF4, EGR2 and a ligand-regulated nuclear receptor PPARγ orchestrate the M2 IL4 ‘polarization’, marked by enhancer RNA (eRNA) production near multiple M2 genes. The mechanisms of enhancer activation by unliganded PPARγ are poorly understood. We interrogated cofactor requirements for PPARγ-driven gene expression in M2 IL4 , including those lacking PPARγ or a ligand-dependent nuclear receptor coregulator NCoA2/GRIP1 vs. macrophages treated with th…
- OpenAlex · Published · First archived
Genome-Wide DNA Methylation Sequencing Identifies Methylation-Associated Genes Related to Porcine Skeletal Muscle Fiber Diversity ↗
Alterations in skeletal muscle fibers are closely linked to human diseases, yet the mechanisms by which DNA methylation drives muscle fiber diversity remain unclear. Here, we performed whole-genome bisulfite sequencing (WGBS) to generate single-base-resolution DNA methylomes of fast-twitch biceps femoris (Bf) and slow-twitch soleus (Sol) muscles and integrated transcriptomes to reveal associations between DNA methylation and gene expression. The global methylation level in skeletal muscle averaged 4.22%, with context-specific rates of 70.0% (CG), 1.16% (CHG), and 1.12% (CHH). The distribution…
- OpenAlex · Published · First archived
Physics-data fusion multi-modal deep learning for spindle current prediction in digital twin-driven machining state perception ↗
Accurate perception of machining states is essential for intelligent Computer Numerical Control (CNC) systems, yet modeling key process variables remains challenging due to the nonlinear and multi-modal nature of cutting processes. Empirical models lack adaptability, while purely data-driven methods often neglect physical constraints. Direct measurement of cutting force is challenging in practice, as complex workpiece geometries, limited ranges of detection instruments, and high deployment costs make large-scale force data acquisition difficult. Therefore, spindle current is adopted as a more…
- OpenAlex · Published · First archived
Hybrid Temperature Modeling for the Ruhrstahl–Heraeus Process: Coupling a Data‐Driven Approach With a Physics‐Based Process Model ↗
The Ruhrstahl–Heraeus (RH) vacuum degassing process is a key technology in modern steelmaking for producing high‐performance steel grades, performing degassing, decarburization, inclusion separation and modification, and high‐yield alloying in a single unit. Since RH treatment is often the final step before continuous casting, robust process control and reliable temperature monitoring are essential. This work presents a hybrid temperature model for continuous temperature prediction during the RH process. Enthalpy contributions from alloying additions, including the sensible heat required to re…
- OpenAlex · Published · First archived
Two Methodological Pitfalls in Matched-Parameter Quantum–Classical Benchmarking for Paraphrase Identification: Class-Imbalance Collapse and Readout-Offset Asymmetry ↗
Quantum machine learning is commonly benchmarked by matching a quantum head’s parameter count to that of a classical baseline. We show that this control is insufficient. We compare a 32-parameter parameterized quantum circuit (PQC) head against a nominally matched 31-parameter multi-layer perceptron (MLP) on three paraphrase tasks—the Microsoft Research Paraphrase Corpus (MRPC), Paraphrase Adversaries from Word Scrambling (PAWS), and Quora Question Pairs (QQP)—and document two pitfalls that inflate an apparent quantum deficit. First, under the tested protocol, unweighted binary cross-entropy o…
- OpenAlex · Published · First archived
HDOCK-Multimer: improved structure prediction of large protein complexes by integrating docking and combinatorial assembly ↗
Accurate prediction of large protein assembly structures is crucial for understanding biological processes, yet remains a challenge for end-to-end approaches such as AlphaFold owing to their large size and intricate multi-chain interactions. Docking methods can handle large proteins, but suffer from the huge combinatorial binding space of multiple chains. Assembly methods offer an alternative way, but critically rely on the quality of predicted subcomponents. Here we present HDOCK-Multimer (HDM), a framework that integrates docking and combinatorial assembly for structure prediction of large p…
- OpenAlex · Published · First archived
Breast Cancer Stem Cell-Associated Extracellular Vesicles: Bioengineering Advances in Source-Resolved Isolation, Mechanistic Validation, and Clinical Translation ↗
Breast cancer stem cells (BCSCs) drive therapeutic resistance, recurrence, and metastasis via self-renewal, phenotypic plasticity, and adaptive tolerance to treatment and microenvironmental stress. Extracellular vesicles (EVs) mediate bidirectional intercellular communication between stem-like tumor cells and tumor, stromal, immune and vascular compartments, but their translation is blocked by critical unaddressed gaps: BCSC rarity and heterogeneity, incomplete donor-cell validation, uncertain vesicle-source attribution, and nonstandardized assays. This review outlines a unifying bioengineerin…
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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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