Results 111 to 120 of about 127,818 (284)

Intrinsic and Extrinsic Motivation and Participation in Budgeting: Antecedents and Consequences

open access: yes, 2010
: Based on Self-Determination Theory (SDT; Ryan and Deci 2000b; Gagne´ and Deci 2005), the present research proposes and tests a motivation-based model of participation in budgeting that distinguishes among intrinsic motivation, autonomous extrinsic ...
Bernard Wong-On-Wing   +2 more
core   +1 more source

Process‐informed co‐optimization of liquid air energy storage and data centers under off‐design thermodynamic operation

open access: yesAIChE Journal, EarlyView.
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang   +3 more
wiley   +1 more source

Reinforcement Learning With a Low‐Cost Parallel Linkage Gripper for Static and Dynamic Planar In‐Hand Manipulation

open access: yesAdvanced Intelligent Systems, EarlyView.
Hardware‐learning co‐design combines volar‐plate‐inspired passive‐joint constraints with mechanism‐aware reinforcement learning for a low‐cost parallel‐linkage gripper. The resulting system performs quasi‐static object adjustment and dynamic pinch grasping, demonstrating reliable planar in‐hand manipulation and successful sim‐to‐real transfer. Parallel
Yanzhou Jin   +4 more
wiley   +1 more source

Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation

open access: yesAdvanced Intelligent Systems, EarlyView.
Robot arms lifting a large object face a trade‐off: centralized controllers explode in parameters, while decentralized ones cannot coordinate. A GNN resolves this—each arm runs its own network but acts on the full team state, achieving centralized‐level coordination with decentralized execution. Trained across team sizes, a single policy scales to four‐
Tong Chen   +3 more
wiley   +1 more source

The Hospital of Tomorrow Case Study: Multidisciplinarity, Inclusiveness and Holistic Approaches to Foster Innovation in Complex Organizations. [PDF]

open access: yesInt J Health Policy Manag, 2023
Gorla F   +8 more
europepmc   +1 more source

Performance budgeting: selected international experiences and some lessons for Slovenia [PDF]

open access: yes
The paper’s main purpose is to briefly discuss the concept of performance budgeting and challenges encountered by different (OECD) countries when seeking to implement performance budgeting, which might offer some helpful guidelines for Slovenia.
Seljak, Janko, Aristovnik, Aleksander
core  

From Instruction to Inheritance: Scaling Robot Learning Through Knowledge Circulation

open access: yesAdvanced Intelligent Systems, EarlyView.
Robot learning moves from one‐way instruction toward knowledge circulation. Humans teach robots, robots teach one another, and robots share acquired skills with humans. This perspective connects teaching, embodiment, and learning architectures to explore how knowledge is inherited, adapted, and enriched across agents, opening a path toward scalable ...
Kento Kawaharazuka   +13 more
wiley   +1 more source

An applied environmental justice framework for exposure science. [PDF]

open access: yesJ Expo Sci Environ Epidemiol, 2023
Van Horne YO   +9 more
europepmc   +1 more source

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

open access: yesAdvanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit   +8 more
wiley   +1 more source

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

open access: yesAdvanced Intelligent Systems, EarlyView.
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian   +10 more
wiley   +1 more source

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