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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 ↗1616 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
Survival-supervised variational autoencoders for robust clinical prognosis under missing not at random conditions ↗
Abstract Clinical survival analysis is often affected by missing not at random (MNAR) data, where missingness is due to underlying patient health states and clinical decision-making. Existing imputation methods struggle with threshold-based clinical missingness mechanisms. We propose MNAR-SVAE, a variational autoencoder integrating Cox proportional hazards loss, and introduce, for evaluation, a threshold-interaction MNAR mechanism capturing non-linear decision boundaries. We evaluate MNAR-SVAE against five baseline methods (standard VAE, MICE, missForest, GAIN, and MIDA) on METABRIC (breast ca…
- OpenAlex · Published · First archived
Physics-informed explainable artificial intelligence framework for corrosion-fatigue life prediction, reliability assessment, and inspection planning of welded steel structures ↗
Atmospheric corrosion combined with cyclic loading is one of the most critical degradation mechanisms affecting the fatigue life of welded steel structures. Although numerous machine learning models have demonstrated the capability to accurately describe crack propagation processes, the direct application of these models to probabilistic analysis and life-cycle management often requires considerable computational effort. This study proposes a Physics-Informed Explainable Artificial Intelligence (XAI) Framework for corrosion-fatigue life prediction, reliability assessment, and inspection planni…
- OpenAlex · Published · First archived
Radiation-tolerant composites batteries in high energy physics facilities: paving the pathway for india-based neutrino observatory: a state-of-the-art perspective ↗
Abstract High-energy physics facilities, including underground neutrino observatories, demand highly reliable, long-lasting energy storage systems capable of operating for decades in constrained and specialised environments with minimal maintenance. Conventional batteries used in uninterruptible power supplies are not optimised for the required multi-year stability or compatibility with the ultra-clean conditions essential for precision experiments. This perspective explores the development of radiation-tolerant composite batteries as a promising solution for such demanding applications, with…
- OpenAlex · Published · First archived
Physics-Guided and Sustainability-Oriented Design of Carburized Steel Cases by Integrating Thermodynamic Kinetic Coupling with Alloy-Controlled Carbon Diffusion ↗
Gas carburization is widely used to improve the surface durability of load-bearing steels, yet alloy-dependent thermodynamic and kinetic effects often cause large variability in case development and component life. This study presents a physics-guided comparison of carburization behavior in EN3, 20MnCr5, and EN353 steels by integrating hardness profiles, mechanical and wear testing, and thermodynamic–diffusion analysis. Under an identical boost–diffuse–equalize cycle at 930 °C, distinct surface carbon levels of 0.764 wt.% (EN3), 0.792 wt.% (20MnCr5), and 0.822 wt.% (EN353) were obtained. These…
- OpenAlex · Published · First archived
Prediction of tumor shrinkage patterns to neoadjuvant chemotherapy based on pretreatment contrast-enhanced ultrasound and clinical features in breast cancer ↗
Accurate assessment of tumor shrinkage patterns (TSP) following neoadjuvant chemotherapy (NAC) is crucial for determining eligibility for breast-conserving surgery (BCS). In this study, our goal was to evaluate the early predictive value of pretreatment contrast-enhanced ultrasound (CEUS) combined with clinical features for TSP in breast cancer patients following NAC. This study retrospectively included breast cancer patients who underwent NAC followed by surgery between June 2018 and May 2023 at our hospital. According to the postoperative pathology, the patients were divided into concentric…
- OpenAlex · Published · First archived
Genome-Wide Identification of the WRKY Gene Family in Mulberry and Screening of Consistently Drought-Responsive Candidates ↗
Background: WRKY transcription factors are widely involved in plant responses to drought. Mulberry (Morus alba) is an economically important tree in Southwest China, yet its WRKY gene family has not been systematically characterized at the genome level. Methods: In this study, we identified the WRKY gene family in mulberry by integrating bioinformatic analysis with transcriptome data and experimental verification. Results: A total of 56 MnWRKY genes were identified and classified into three major groups (I–III), with group II further divided into five subgroups (IIa–IIe). Promoter analysis det…
- OpenAlex · Published · First archived
The Diverse Clinical Spectrum of Noonan Syndrome in Pediatric Endocrinology: From Classical to Atypical Phenotypes ↗
Background/Objectives: Noonan syndrome (NS) is characterized by marked phenotypic variability. Although the classical phenotype includes short stature, craniofacial dysmorphism, skeletal abnormalities, and congenital heart defects, some patients present with subtle or atypical manifestations, making clinical recognition challenging. Methods: This retrospective case series included six pediatric patients with molecularly confirmed NS managed at the Department of Endocrinology and Metabolic Diseases, Polish Mother’s Memorial Hospital-Research Institute, Lodz, Poland. Medical records were reviewe…
- OpenAlex · Published · First archived
A pH-responsive DNA nanocarrier-mediated combined therapy for tumor hypoxia relief and enhanced photodynamic-chemotherapeutic efficacy ↗
Improving the efficiency of drug targeted delivery and alleviating tumor cell hypoxia were crucial for photodynamic-based combination therapy to improve the anticancer effect. Herein, a novel multifunctional DNA nanocarrier (RAM) was developed for targeted delivery and pH-responsive release of toluidine blue O (TBO), doxorubicin (DOX) and anti-MCT1 siRNA (siMCT1) combined drugs. RAM was prepared by two-step self-assembly of RCA scaffold prepared by rolling circle amplification technology with multivalent AS1411 aptamer, complementary chain of i-motif sequence and siMCT1 modified by i-motif seq…
- OpenAlex · Published · First archived
Assessment of serological markers (interleukin-37, interleukin-40, antinuclear antibody and PA-Ab) and protein tyrosine phosphatase nonreceptor type 22 genetic profiles in children with immune thrombocytopenia: A case–control study ↗
Abstract: BACKGROUND: Immune thrombocytopenia (ITP) is an autoimmune disorder characterized by reduced platelet count; this condition ranges from mild symptoms to life-threatening bleeding. The protein tyrosine phosphatase nonreceptor type 22 ( PTPN22) gene codes for an enzyme called phosphatase, which controls cell signals in immune responses, specifically in T-cells. Mutations within this gene could impact the functioning of the immune system and have been considered risk factors in ITP patients. OBJECTIVES: To assess immune biomarkers (interleukin [IL]-37, IL-40, Antinuclear antibody (ANA)…
- OpenAlex · Published · First archived
Blade-tip vibration informed latent physics residual prognostics for fatigue crack growth and remaining useful life prediction ↗
Fatigue crack growth prognosis of blades remains challenging because crack length is difficult to measure continuously, while vibration responses are influenced by both damage evolution and loading conditions. A blade-tip vibration-informed latent physics residual prognostics (LPRP) framework is proposed for crack-growth modeling and remaining useful life (RUL) prediction. Blade-tip displacement and resonance-frequency degradation are used to characterize loading response and structural degradation, respectively, enabling crack-growth-rate prediction without direct crack-length input. Resonanc…
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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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