AIMC Topic: Policy
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How does the robot adoption promote carbon reduction?: spatial correlation and heterogeneity analysis.
Environmental science and pollution research international
Oct 18, 2023
Along with the continuous improvement of industrial intelligence, robots are widely used in various aspects of production and life, playing an essential role in achieving carbon reduction targets. However, the existing research on the carbon reductio...
Donor activity is associated with US legislators' attention to political issues.
PloS one
Sep 20, 2023
Campaign contributions are a staple of congressional life. Yet, the search for tangible effects of congressional donations often focuses on the association between contributions and votes on congressional bills. We present an alternative approach by ...
Antimicrobial treatment imprecision: an outcome-based model to close the data-to-action loop.
The Lancet. Infectious diseases
Aug 31, 2023
Health-care systems, food supply chains, and society in general are threatened by the inexorable rise of antimicrobial resistance. This threat is driven by many factors, one of which is inappropriate antimicrobial treatment. The ability of policy mak...
Deep Reinforcement Learning on Autonomous Driving Policy With Auxiliary Critic Network.
IEEE transactions on neural networks and learning systems
Jul 6, 2023
Deep reinforcement learning (DRL) is a machine learning method based on rewards, which can be extended to solve some complex and realistic decision-making problems. Autonomous driving needs to deal with a variety of complex and changeable traffic sce...
Estimating the common agricultural policy milestones and targets by neural networks.
Evaluation and program planning
May 3, 2023
The New Delivery Model, introduced by the 2023-2027 Common Agricultural Policy, shifts the focus of policy programming and design from a compliance-based approach to one based on performance. The objectives indicated in the national strategic plans a...
Excellence in Total Worker Health® and an Interview With Dr Laura Linnan.
American journal of health promotion : AJHP
Mar 31, 2023
The National Institute of Occupational Safety and Health (NIOSH) defines as "policies, programs and practices that integrate protection from work-related safety and health hazards with promotion of injury and illness prevention efforts to advance wo...
Model Choice for Quantitative Health Impact Assessment and Modelling: An Expert Consultation and Narrative Literature Review.
International journal of health policy and management
Mar 13, 2023
BACKGROUND: Health impact assessment (HIA) is a widely used process that aims to identify the health impacts, positive or negative, of a policy or intervention that is not necessarily placed in the health sector. Most HIAs are done prospectively and ...
Priority-based replenishment policy for robotic dispensing in central fill pharmacy systems: a simulation-based study.
Health care management science
Mar 11, 2023
In recent years, companies that operate pharmacy store chains have adopted centralized and automated fulfillment systems, which are called Central Fill Pharmacy Systems (CFPS). The Robotic Dispensing System (RDS) plays a crucial role by automatically...
Vision-Based Efficient Robotic Manipulation with a Dual-Streaming Compact Convolutional Transformer.
Sensors (Basel, Switzerland)
Jan 3, 2023
Learning from visual observation for efficient robotic manipulation is a hitherto significant challenge in Reinforcement Learning (RL). Although the collocation of RL policies and convolution neural network (CNN) visual encoder achieves high efficien...
Representation learning for continuous action spaces is beneficial for efficient policy learning.
Neural networks : the official journal of the International Neural Network Society
Dec 16, 2022
Deep reinforcement learning (DRL) breaks through the bottlenecks of traditional reinforcement learning (RL) with the help of the perception capability of deep learning and has been widely applied in real-world problems. While model-free RL, as a clas...
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