Results 201 to 210 of about 63,174 (302)

Delay discounting predicts COVID-19 vaccine booster willingness. [PDF]

Cogn Res Princ Implic
Halilova JG, Fynes-Clinton S, Terao CM, Addis DR, Rosenbaum RS.   +4 more
europepmc   +1 more source

The Price of a Whipple: Predicting Hospital Charges Using Preoperative Patient Characteristics

World Journal of Surgery, EarlyView.
Preoperative lab abnormalities are significant predictors of hospital charges following Whipple's pancreaticoduodenectomy. In a retrospective review of 375 cases, patients with ≥ 3 preoperative laboratory‐based predictors incurred substantially higher charges, underscoring the value of preoperative optimization in reducing financial burden.
Sri Snehita Reddy Bonthu, Sourodip Mukharjee, Joshua Kong, Juan Malo, Houssam Osman, D. Rohan Jeyarajah   +5 more
wiley   +1 more source

Genome-Wide Association Studies of Delay Discounting and Impulsive Personality Traits in Children From the Adolescent Behavior and Cognitive Development Study. [PDF]

Genes Brain Behav
Deng WQ, Elsayed M, Belisario KL, Sanchez-Roige S, Palmer AA, MacKillop J.   +5 more
europepmc   +1 more source

AGT: Efficient Offline Reinforcement Learning With Advantage‐Guided Transformer

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Offline reinforcement learning (RL) is a paradigm that seeks to train policies directly based on fixed datasets derived from previous interactions with the environment. However, offline RL faces critical challenges in environments characterised by sparse rewards and datasets dominated by suboptimal trajectories.
Jiaye Wei, Xin Xu, Yixing Lan, Tenglong Liu, Yueying Wang   +4 more
wiley   +1 more source

Dynamic Functional Connectivity Between Amygdala and Cognitive Control Network Predicts Delay Discounting in Older Adolescents. [PDF]

Hum Brain Mapp
Mertens AT, Goldsmith C, Pavelka DJ, Oleson JJ, Doucet GE.   +4 more
europepmc   +1 more source

Delay Discounting in Gambling Disorder

Impulsive choice, measured by delay discounting (DD) tasks, has been shown in patients with gambling disorders (GD). However, the impact of DD and treatment outcome has been scarcely explored in GD patients. The aims of this study were: (1) to examine the baseline association between DD and clinical variables in GD patients depending on their age and ...
Mena Moreno, Teresa||, Testa, Giulia||, Mestre-Bach, Gemma||, Miranda-Olivos, Romina||, Granero, Roser||, Fernández Aranda, Fernando||, Menchón Magriñá, José Manuel||, Jiménez-Murcia, Susana||   +7 more
openaire   +1 more source

Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements in control accuracy, still lack explainability and generalisation, severely limiting their applicability in real‐world environments.
Hao Huang, Wenjie He, Qilie Liu, Qian Liu, Chao Huang, Anwar P. P. Abdul Majeed, Xiangguang Dai, Gang Fang, Xiaohua Xu   +8 more
wiley   +1 more source

The effects of sleep restriction and time of day on food-specific impulsivity, approach-avoidance bias and delay discounting. [PDF]

Health Psychol Behav Med
Kakoschke N, Dickinson DL, Drummond SPA.
europepmc   +1 more source

Multi‐Agent Reinforcement Learning Driven Dynamic Resource Optimisation in Healthcare Transportation Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents HealthNet, a novel framework for the dynamic optimisation of healthcare transportation networks using multi‐agent reinforcement learning. HealthNet leverages a spatiotemporal dependency module to capture complex spatiotemporal relationships in healthcare demand and resource allocation patterns, combined with centralised ...
Jianhui Lv, Byung‐Gyu Kim, Keqin Li, Heng Lu   +3 more
wiley   +1 more source

The Price Gap in Agriculture‐Based Greenhouse Gas Offset Markets

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT Today, there is a global effort to reduce greenhouse gas net emissions (GHGNE). For economic well‐being, it is important to identify low‐cost means of net emission offsets. Agriculture and forestry have received considerable attention as a means of supplying emissions offsets, as they contribute nearly 20% of global emissions.
Jingyi W. Liu, Bruce A. McCarl, Chengcheng J. Fei   +2 more
wiley   +1 more source