Results 81 to 90 of about 10,099 (192)

Applying reinforcement learning in Bitcoin trading to select technical strategies based on Deep Q-Network

open access: yesCogent Economics & Finance
This paper proposes a Deep Q-Network-based reinforcement learning framework to optimize the selection of technical trading strategies for Bitcoin.
Nguyen Thi Thu Hoan   +2 more
doaj   +1 more source

Research on Investment Strategy Based on Catboost Model and Bollinger Band Channel

open access: yesHighlights in Business, Economics and Management, 2023
As the economy continues to grow, more and more people tend to increase their income through asset investment. This paper devised a trading strategy and evaluated the value of an investment of $1,000 after five years. The Catboost regression model was built to predict the price of gold and bitcoin with an accuracy rate of up to 99%.
openaire   +1 more source

Lactobacillus paragasseri LG‐1 Alleviates Urticaria‐Like Symptoms in Mice via Modulation of Gut Microbiota, Hypoxanthine and Uric Acid

open access: yesMicrobial Biotechnology, Volume 19, Issue 2, February 2026.
Chronic Spontaneous Urticaria (CSU) is linked to gut dysbiosis and elevated serum uric acid/hypoxanthine. Lactobacillus paragasseri LG‐1 alleviates urticaria by degrading these metabolites, inhibiting TLR4‐NF‐κB inflammation, and remodelling gut microbiota.
Qiong Wang   +8 more
wiley   +1 more source

Exact solution of the two-axis countertwisting Hamiltonian for the half-integer $J$ case

open access: yes, 2016
Bethe ansatz solutions of the two-axis countertwisting Hamiltonian for any (integer and half-integer) $J$ are derived based on the Jordan-Schwinger (differential) boson realization of the $SU(2)$ algebra after desired Euler rotations, where $J$ is the ...
Draayer, Jerry P.   +2 more
core   +1 more source

Rapamycin Reverses the Hepatic Response to Diet‐Induced Metabolic Stress That Is Amplified by Aging

open access: yesAging Cell, Volume 25, Issue 2, February 2026.
Aging exacerbates high‐fat diet (HFD) induced hepatic steatosis, and transcriptional dysregulation of pathways including inflammation, immune, and metabolic regulation in mouse liver and hepatocytes. The addition of rapamycin to HFD reversed most HFD‐driven gene‐expression changes in old mice, including those linked to metabolic dysfunction and ...
Aaron Havas   +11 more
wiley   +1 more source

FUNDAMENTAL AND TECHNICAL ANALYSIS ON CROATIAN STOCK MARKET

open access: yesCroatian Operational Research Review, 2011
The main subject of this paper is to find the right approach to the evaluation of stock and predicting the moment in which investors should take action by using different approaches and methods during a certain period of time. This analysis has been made
Veronika Čaljkušić
doaj  

Improved Closed-Loop Predict-and-Optimize Intertwined Framework-Based Two-Stage Dispatch for Hydro-Wind- Photovoltaic-Involved Power Systems [PDF]

open access: yesDianli jianshe
[Objective] The high randomness of hydro,wind,and photovoltaic powers exacerbates the problem of achieving a trade-off between the computational complexity and operational economy of the traditional open-loop predict-then-optimize (OPO) dispatch ...
LIU Jichun, XIAO Yujin, QIU Gao, TANG Lun, SUN Yi, LI Linghao
doaj   +1 more source

Emergence, spread, and impact of high‐pathogenicity avian influenza H5 in wild birds and mammals of South America and Antarctica

open access: yesConservation Biology, Volume 40, Issue 1, February 2026.
Abstract The currently circulating high‐pathogenicity avian influenza (HPAI) virus of the subtype H5 causes variable illness and death in wild and domestic birds and mammals, as well as in humans. This virus evolved from the Goose/Guangdong lineage of the HPAI H5 virus, which emerged in commercial poultry in China in 1996, spilled over into wild birds,
Thijs Kuiken   +9 more
wiley   +1 more source

An Ultra-Short-Term Wind Power Prediction Method Based on the Fusion of Multiple Technical Indicators and the XGBoost Algorithm

open access: yesEnergies
Wind power, as a clean and renewable energy source, plays an increasingly important role in the global transition to low-carbon energy systems. However, its inherent volatility and unpredictability pose challenges for accurate short-term prediction. This
Xuehui Wang   +5 more
doaj   +1 more source

Machine Learning Framework for Algorithmic Trading

open access: yesComputer Sciences & Mathematics Forum
Present financial markets are characterized by great volatility and nonlinear dynamics since they are driven by both quantitative forces and qualitative mood. Traditional trading practices cannot capture such nuance.
Krishnamurthy Nayak   +2 more
doaj   +1 more source

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