Results 81 to 90 of about 6,497 (242)

Modeling the violation of reward maximization and invariance in reinforcement schedules.

PLoS Computational Biology, 2008
It is often assumed that animals and people adjust their behavior to maximize reward acquisition. In visually cued reinforcement schedules, monkeys make errors in trials that are not immediately rewarded, despite having to repeat error trials.
Giancarlo La Camera, Barry J Richmond
doaj   +1 more source

Sex‐Specific Proteomic Profiling Identifies Pregnancy Zone Protein as a Complement‐Linked Marker of Adverse Prognosis in Esophageal Adenocarcinoma

International Journal of Cancer, EarlyView.
ABSTRACT Esophageal adenocarcinoma (EAC) exhibits marked male predominance with male‐to‐female ratios reaching 8.5:1, yet the molecular basis underlying this sex disparity remains poorly characterized. We analyzed 92 EAC specimens using mass spectrometry–based proteomics, comprising 47 female and 45 male tumors from treatment‐naïve patients ...
Alexander Quaas, Hanna Schiemann, Su Ir Lyu, Thomas Zander, Axel Hillmer, Hans Schlößer, Christiane J. Bruns, Reinhard Büttner, Bastian Grothey   +8 more
wiley   +1 more source

Risk Transmission and Co‐Movements Between Financial Markets and Commodity Markets in the COVID‐19 Period

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study examines risk transmission and co‐movements between financial markets (G7 countries and China) and commodity markets (gold and oil) during the COVID‐19 crisis. Daily closing prices for major equity indices (CAC40, CSI300, DAX30, FTSE100, MIB, NIKKEI, TSX and S&P500) and futures prices for gold, brent and WTI were analysed using DCC ...
V. Moutinho, H. Oliveira, M. Neves, J. Monteiro   +3 more
wiley   +1 more source

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Industry Portfolio Volatility Connections and Industry Portfolio Returns

International Journal of Finance &Economics, EarlyView.
ABSTRACT This paper tracks dynamic connections that form among daily US industry portfolio return volatilities using a Bayesian time‐varying parameter VAR model. Market participants often focus on sectors to filter vast amounts of information, and this focus results in cross‐industry return predictability. We characterise connections that form over the
Michael Ellington, Michalis Stamatogiannis, Yawen Zheng   +2 more
wiley   +1 more source

How Is FinTech Shaping Household Portfolio Behaviour?

International Journal of Finance &Economics, EarlyView.
ABSTRACT This paper examines how FinTech adoption influences household portfolio allocation across major advanced economies. Using a flow‐of‐funds framework and the Almost Ideal Demand System (AIDS), we model household demand for currency, deposits, loans, debt securities, and equity in the United States, United Kingdom, Euro Area, Japan and Australia.
Victor Murinde, Athina Petropoulou
wiley   +1 more source

Development of a partially supervised Markov decision-making model for a 3-link collaborative robot-manipulator

Радіоелектронні і комп'ютерні системи
The subject are mathematical models of decision-making under uncertainty in a production environment with human presence. The research objectives: is to form a safe and effective policy for controlling the motion of a three-link collaborative robot ...
Vladyslav Yevsieiev, Dmytro Gurin, Sergii Kulish, Yuliia Voloshyn   +3 more
doaj   +1 more source

Risk Forecasting in Shipping Exchange‐Traded‐Fund (ETF) Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT This article examines the risk properties of freight‐derivative‐based exchange‐traded funds (ETFs), focusing on the Breakwave Dry Bulk Shipping ETF (BDRY), and evaluates the accuracy of Value‐at‐Risk (VaR) and Expected Shortfall (ES) forecasts across a range of econometric models.
Christos Katris, Manolis G. Kavussanos, Stergiani (Stella) A. Moysiadou   +2 more
wiley   +1 more source

Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning

Nature Communications
Clear cell renal cell carcinoma (ccRCC) is the most prevalent type of renal cell carcinoma. However, our understanding of ccRCC risk genes remains limited. This gap in knowledge poses challenges to the effective diagnosis and treatment of ccRCC.
Dazhi Lu, Yan Zheng, Xianyanling Yi, Jianye Hao, Xi Zeng, Lu Han, Zhigang Li, Shaoqing Jiao, Bei Jiang, Jianzhong Ai, Jiajie Peng   +10 more
doaj   +1 more source