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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 ↗1437 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 AND HISTOPATHOLOGICAL CHARACTERISTICS AND SURGICAL MANAGEMENT OF BREAST CANCER: A CASE SERIES FROM A TERTIARY UNIVERSITY HOSPITAL IN SYRIA: CASE SERIES ↗
Breast cancer is a heterogeneous disease with substantial variation in clinical presentation, tumor biology, treatment response, and surgical management. This case series describes five female patients with histologically confirmed invasive breast carcinoma managed at Al-Bairouni University Hospital, Damascus, Syria, during 2026. Patients ranged from 28 to 68 years and presented with breast masses of variable size and extent. Histopathology demonstrated invasive ductal carcinoma, with heterogeneous immunohistochemical profiles, including hormone receptor-positive/HER2-positive, hormone recepto…
- OpenAlex · Published · First archived
Shapley value explanations for clinical prediction models: a scoping review and guide ↗
Abstract Shapley value explanations are increasingly used to provide added transparency for “black-box” prediction models in healthcare. In this article, we provide an introductory overview of Shapley value explanations and describe their use through a detailed scoping review of 100 randomly selected, peer-reviewed publications that used Shapley explanations as part of their clinical research. We focus on the use of Shapley value explanations to explain the predictions of clinical prediction models that use tabular input features (e.g., predictors that measure patient characteristics like bloo…
- OpenAlex · Published · First archived
The landscape of structural variants in male infertility identified by optical genome mapping ↗
Abstract We aimed to determine what kind of structural genomic variants can be detected by optical genome mapping in patients with male infertility and whether such variants may contribute to male infertility. We performed a longitudinal case/control genetic study on patients with male infertility, negative for cytogenetic abnormalities using karyotyping, and molecular testing for chrY microdeletions, and CFTR gene variants, and compared them to healthy male individuals that underwent optical genomic mapping for other reasons. We tested a total of 220 individuals; 88 patients with male inferti…
- OpenAlex · Published · First archived
Establishing Yarrowia lipolytica for aloesone biosynthesis through lipid-metabolism rewiring and carbon-source evaluation ↗
Aloesone is a plant-derived aromatic polyketide that serves as a biosynthetic precursor of aloesin and related glucosides, yet its production in yeast cell factories has not been systematically established. In this study, we reconstructed aloesone biosynthesis in a Yarrowia lipolytica strain pre-optimized for efficient xylose utilization by integrating the aloesone synthase (ALS) gene derived from Rheum palmatum into its genome. LC-MS/MS analysis confirmed the formation of aloesone in the engineered yeast strain, whereas no corresponding signal was observed in the control strain. The ALS overe…
- OpenAlex · Published · First archived
Improving clinical data standardization in surgical notes through biomedical entity linking with contextual evidence from large language models ↗
Surgical notes contain essential clinical information for postoperative care, yet free-text format and institutional variability limit their use for standardized data representation and secondary analysis. Biomedical entity linking enables mapping of heterogeneous clinical expressions to standardized ontologies such as SNOMED-CT, supporting semantic interoperability. However, existing approaches often rely on predefined mention spans through named entity recognition (NER), which is labor-intensive and may introduce errors. We analyzed 9,051 gastric cancer surgical notes from Seoul National Uni…
- OpenAlex · Published · First archived
Qubit Readout Discrimination through Fuzzy Clustering ↗
Accurate quantum state discrimination is critical for reliable qubit readout in current superconducting quantum processors, as it enables precise measurement outcomes, reduces readout-induced errors, and improves the overall reliability of quantum algorithm execution. Recently, machine learning (ML) techniques have been explored to enhance quantum state discrimination, outperforming traditional methods based on static thresholds. However, these approaches rely on hard-decision schemes that assign binary outcomes without accounting for readout uncertainty, thereby disregarding signal-level vari…
- OpenAlex · Published · First archived
Performance degradation and diagnostic features of a residential split heat pump under multiple simultaneous faults using a physics-based model ↗
Operational faults can significantly degrade the performance of residential air-source heat pumps, yet the combined effects of simultaneous faults remain insufficiently understood. In particular, systematic and reproducible assessments of combined refrigerant-charge and airflow faults across both cooling and heating modes remain limited. This study investigates the impacts of refrigerant charge, indoor airflow, and outdoor airflow faults, applied individually and in combination, on a residential split heat pump operating in cooling and heating modes. A 4-ton R-32 system was modeled in the publ…
- OpenAlex · Published · First archived
Artificial intelligence driven multimodal medical image segmentation algorithm: applied research and clinical verification ↗
Abstract Multimodal medical imaging—comprising CT, MRI, and PET—is fundamental to modern diagnosis, lesion localization, and treatment planning. The accuracy and speed of segmenting these modalities directly affect clinical decisions. To overcome limitations in cross-modal integration, sensitivity to small lesions, generalization, and workflow compatibility, we propose AMIS-Net, an AI-driven segmentation network. Built on an encoder-decoder backbone, AMIS-Net incorporates a Dual Attention Module (DAM) for adaptive feature recalibration and a Small Object Capture (SOC) module for multi-scale fe…
- OpenAlex · Published · First archived
High Quality, Long-Read Genome Assemblies of Two Virulent Field Isolates of Pyricularia oryzae from Portugal ↗
The fungal pathogen Pyricularia oryzae is notorious for causing blast disease in various important cereal crops, including wheat, rice, millet, and oat. Whole-genome-informed data on this pathogen are necessary to better understand the host adaptability of the fungus, including identifying key determinants of infection to enable more precise disease control. Here, we report highly contiguous genome sequences (using long-read PacBio technology) of two isolates from rice paddies in Portugal, M22.7 and T22.2, which exhibit distinctly aggressive symptoms in rice. Both mitochondrial and nuclear seq…
- OpenAlex · Published · First archived
Evaluation of free lime content in cement kilns by physics-guided support vector regression using factory energy management system ↗
The cement industry is one of the most carbon-intensive industrial sectors owing to its high energy demand. In clinker production, free lime (F-CaO) is a critical quality indicator that reflects the adequacy of heat supply during high-temperature processing; excessive F-CaO indicates insufficient thermal energy and leads to deterioration of clinker quality and energy efficiency. Accurate prediction of F-CaO is therefore important for effective quality control and energy-efficient plant operation. Previous data-driven studies have selected input variables mainly from statistical correlations, o…
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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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