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Earlier sources: Energy
Energy research and engineering concern how power is produced, stored, delivered, and consumed. Follow solar and nuclear power, fusion, geothermal systems, batteries, electricity grids, and changing power demand.
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 ↗719 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
Licochalcone A Inhibits Melanoma Cell Survival by Suppressing HSP75 (TRAP1) and Disrupting Cellular Redox and Energy Homeostasis ↗
Heat shock protein 75(HSP75), a mitochondrial chaperone of the HSP90 family, sustains tumor cell survival by restraining oxidative phosphorylation, favoring aerobic glycolysis, and limiting mitochondrial ROS to preserve redox homeostasis. Although Licochalcone A (LCA), a flavonoid isolated from licorice root, displays anticancer activity across diverse tumors, whether HSP75 suppression contributes to its anti-melanoma effects remains undefined. This study assessed HSP75 expression in melanoma and evaluated the anti-melanoma efficacy of LCA. Expression of HSP75 was compared between melanoma and…
- OpenAlex · Published · First archived
A Cue-Level Fusion Framework for Robust Soccer Player Tracking: Integrating Appearance, Motion, and Geometric Cues for Adaptive Tracklet Linking ↗
Cue-level fusion of complementary information channels—appearance for identity, motion for trajectory, and geometry for spatial consistency—is central to multi-object tracking in soccer broadcast videos, yet existing tracking-by-detection frameworks are validated mainly on pedestrian data. This paper proposes a cue-level fusion framework for soccer player tracking on the SoccerNet SN-Tracking dataset (57 train, 49 test sequences). Fusion is performed at two levels: (i) motion-appearance gating during online association, fusing Mahalanobis distance and cosine distance through gated cascade matc…
- OpenAlex · Published · First archived
Design of an intralayer data-based controller for laser powder bed fusion processing ↗
Abstract This paper proposes a data-based approach to reduce defect-prone process conditions during the additive manufacturing of Ti-6Al-4V alloy parts using the laser powder bed fusion technique. The focus is on controlling melt pool emissions intensity used as a temperature-related proxy generated as the laser interacts with the alloy powder to avoid processing conditions which generate defects such as lack-of-fusion (LOF) or keyhole porosity. A data-based controller is developed using photodiode signals from the melt pool emissions to predict future melt pool data and then update the contro…
- OpenAlex · Published · First archived
An Energy Efficient and Network Lifetime-Aware Routing Protocol for Wireless Sensor Networks ↗
In wireless sensor networks (WSNs), energy management is a major problem because of the sensors' limited battery life, which reduces the network's longevity. The Green Multi-Mechanism-Low Energy Adaptive Clustering Hierarchy (GME-LEACH) routing protocol presented in this paper combines four complementary mechanisms into a single clustering framework: adaptive CH rotation, sleep-awake scheduling, hybrid multi-hop communication, and multi-criteria cluster-head (CH) selection. To find energy-efficient and strategically placed cluster heads, the suggested CH selection method takes into account res…
- OpenAlex · Published · First archived
IonFusion: Multimodal Fusion for Hierarchical Classification and Functional Annotation of Ion Channels and Transporters ↗
Ion channels and transporters are diverse membrane proteins that regulate ion flux across biological membranes and play essential roles in cellular signaling, homeostasis, and physiological processes. Accurate classification and functional annotation of these proteins are important for characterizing membrane protein function, interpreting pathogenic mutations, and identifying therapeutic targets. However, classification of ion channels and transporters is complicated by similar fine-grained classes, hierarchical labels, and functional determinants spanning sequence motifs, domains, and struct…
- OpenAlex · Published · First archived
A Study on Self-Learning Energy Management Strategies for Personalized Driving in Plug-in Hybrid Electric Vehicles Based on Deep Reinforcement Learning ↗
To address the issue of reduced fuel efficiency in plug-in hybrid electric vehicles (PHEVs) caused by differences in driving styles, this paper proposes a personalized, self-learning energy management strategy (EMS) that integrates multi-feature driving style analysis with the Deep Deterministic Policy Gradient (DDPG). The study focuses on incorporating driving-style information into energy-management decisions. Firstly, based on CAN bus data, a Gaussian mixture model (GMM) is constructed using the expectation-maximization estimation method. By using weighted aggressive scores and preset thres…
- OpenAlex · Published · First archived
Dual-health protocol modelling of Li-ion battery degradation for UAVs with capacity–resistance coupled metrics in aviation duty cycles ↗
Abstract Batteries must be able to hold enough usable energy, and have enough power to operate, for high power UAVs and electric VTOLs. But state-of-health based on capacity can deem resistance degraded batteries in good condition for use when there is significant voltage sag risk. This work proposes a dual-health protocol-aware model using both the reference-discharge capacity retention and resistance-derived power retention to assess and schedule the battery degradation. Chronological time, current, cumulative discharge capacity and pulse-resistance measurements were used to reconstruct cycl…
- OpenAlex · Published · First archived
Model Construction of Wave Energy Array Limiting System and Analysis of Power Generation Capacity in Real Sea Conditions ↗
Wave energy converter (WEC) arrayization is a crucial direction for the large-scale utilization of wave energy. However, under real sea states, irregular waves, displacement overruns under severe motion conditions, and insufficient adaptability of fixed damping control pose difficulties for power generation capacity assessment. In this paper, a motion-limiting system model is established to address the severe motion of floating bodies under extreme conditions. A state-space model is employed to replace the numerical integration method for calculating the convolution term in the time-domain mot…
- OpenAlex · Published · First archived
A strain-aware electromechanical framework for III-nitride axial nanowire heterostructures toward an energy-efficient high-frequency tunnel FET ↗
A polarization-engineered III-nitride nanowire tunnel field-effect transistor (TFET) is investigated for low-energy, high-frequency operation under strain relaxation. Unlike approaches that optimize polarization-assisted tunneling primarily from an electrical perspective, the proposed framework introduces mechanical strain retention and critical structural dimensions as explicit constraints before electrical optimization. A coupled Wentzel–Kramers–Brillouin tunneling analysis and finite-element electromechanical framework evaluates multiple heterostructures in terms of critical thickness, stra…
- OpenAlex · Published · First archived
An Energy-Data-Anchored Probabilistic Digital-Twin Framework for Coupled Structural–Envelope Degradation and Local Energy-Demand Amplification in Low-Carbon Buildings ↗
Long-horizon building-performance models commonly treat operational energy use and physical deterioration as independent processes, despite the potential for envelope degradation to increase thermal demand and for sustained HVAC operation to alter thermal–moisture exposure. This study develops an energy-data-anchored probabilistic digital-twin framework that integrates three coupled lifecycle states: structural/support-condition loss, envelope thermal and leakage loss, and thermal-load memory. A Coupled Structural–Energy Instability Index (CSEI), defined as the spectral abscissa of the frozen…
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How to assess evidence about Energy
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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