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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 ↗1350 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.
- arXiv · Published · First archived
A Physics-Constrained Implicit Profile Network for Continuous Reconstruction of Tropical Cyclone Near-Surface Wind Profiles ↗
Near the ocean surface, tropical cyclone winds change rapidly with height, but direct measurements are limited because aircraft dropsondes provide only sparse and irregular observations. Continuous wind profiles are important for understanding hurricane boundary-layer processes, improving storm-surge prediction, supporting offshore engineering, and assessing coastal hazards. In this study, we developed an artificial intelligence model that combines machine learning with physical principles to reconstruct continuous wind profiles from sparse observations. The model is designed to preserve the o…
- GitHub · Repository created · First archived
Swapnil-jain/integer-mult-kappa ↗
Integer multiplication below n log n: a conditional witness kappa = 6685733/10^10 (> 2^-11) for T(n) = O(n (log n)^(1-kappa)) in the multitape model, building on OpenAI's problem and Colkitt's integer-mult-bounds: certificates, independent replays, Lean 4 checks
- Hacker News · Posted on Hacker News · First archived
Mathematics Is Not Real ↗
Of course AI is good at a game of manipulating symbols with well defined rules. We knew this since computers surpassed humans at chess. Math is just another game of symbols. I'll be impressed when AI can achieve something impressive in the real world, something humanity can't create yet: Room temperature superconductor. Fusion reactor. Anti-aging pill. Peace in the Middle East.
- GitHub · Repository created · First archived
1105216375-alt/resimind ↗
Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked rules, and reuse.
- arXiv · Published · First archived
Reaching high fusion gain with grams of spin-polarized fuel ↗
Building on recent ignition-access work of Delgado-Aparicio, Ono, and Menard, we show that even a single-use, gram-scale quantity of spin-polarized fuel (SPF) is useful for increasing fusion power and gain in magnetic confinement fusion machines such as tokamaks and stellarators. While fueling a fusion power plant continuously with SPF requires $\sim$kilograms per day, far beyond present capabilities, a single-use short pulse of SPF allows a fusion plasma to cross into a high-gain regime, and stay there, even after switching back to regular unpolarized fuel. With continuous polarized fueling,…
- arXiv · Published · First archived
Beam filamentation instability drives deuterium-tritium fusion with polarized neutron emission ↗
Filamentation instabilities are generally regarded as detrimental to fast-electron transport in fusion plasmas because they increase beam divergence and redistribute deposited energy. Here, we use two-dimensional particle-in-cell simulations coupled to a spin-dependent deuterium-tritium fusion module to investigate whether filamentation can instead transfer energy from counterstreaming electrons to prepolarized fusion ions. The simulations show that magnetic filaments, together with longitudinal inductive and transverse charge-separation electric fields, accelerate initially stationary deutero…
- arXiv · Published · First archived
A Graph Neural Network for Global Daily Fire Radiative Power Prediction at Medium-Range Lead Times ↗
Skillful prediction of biomass-burning activity several days in advance is important for air-quality forecasting and aerosol prediction. Two operational constraints motivate this work. First, the GBBEPx satellite fire radiative power (FRP) product used to initialize NOAA's GEFS-Aerosols is available with about a 1.5-day latency, so each forecast cycle relies on the most recently available, but already outdated, fire observations. Second, these fire inputs are then held fixed throughout the subsequent 5-day operational forecast, or 7 days in the GSL experimental system, effectively assuming no…
- OpenAlex · Published · First archived
Can you feel the pressure? Variability in human interpretation of pressure and differences in hand contact characteristics on potential DNA deposition ↗
Experiments involving volunteers depositing DNA for different purposes, such as shedder testing, are often labour- and resource-intensive. Understanding which methodological procedures may introduce unwanted variation to the study design would help produce more reliable results. Therefore, this study provides data highlighting a common methodological DNA deposition procedure that may introduce unwanted variation. This pilot study explores two important considerations: 1) the ability of qualitative pressure descriptors to ensure rigorous and repeatable methodological standardization, and 2) the…
- OpenAlex · Published · First archived
Using Q‐methodology and the 3P model of learning to evaluate medicine and dentistry students' experiences with a blended anatomy laboratory design ↗
In response to the COVID-19 pandemic, the Faculty of Medicine and Health Sciences at McGill University initiated blended curriculum delivery for first-year medicine and dentistry students in anatomy, combining limited hands-on dissection with online laboratory-adjacent activities using a 3D software application. This study evaluated the efficacy of this approach using the 3P (presage-process-product) model of learning, comparing students' perceptions of course experience (presage), their scores on deep and surface approach to learning scales (process), and laboratory examination performance (p…
- OpenAlex · Published · First archived
Whole-Genome Characterization of Pediatric Urinary E. coli Isolates from a Tertiary Care Pediatric Hospital in Guayaquil, Ecuador: Identification of the High-Risk ST1193 Clone ↗
Background: Escherichia coli is a leading cause of urinary tract infections (UTIs) in children, and increasing antimicrobial resistance complicates empirical treatment. However, genomic information on pediatric urinary E. coli associated with urinary tract infection in Ecuador remains limited. Objective: This exploratory study analyzed four E. coli isolates obtained from urine samples of pediatric patients at a tertiary hospital in Guayaquil, Ecuador. Methods: Whole-genome sequencing (WGS) was performed to determine sequence types (STs), serotypes, antimicrobial resistance genes (ARGs) virulen…
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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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