Results 91 to 100 of about 14,424,041 (271)

Other title: Senate Bill 428 - Testimony on Behalf of the Citizens' Utility Ratepayer Board by David Springe, Consumer Counsel

, 2014
application/pdf; "March 18, 2014."; Testimony before the Kansas Legislature, Senate Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in support of Senate Bill 428. "S.B.
Springe, David.
core   +1 more source

Other title: Senate Bill 261 - Testimony on Behalf of the Citizens' Utility Ratepayer Board by David Springe, Consumer Counsel

, 2015
application/pdf; "March 19, 2015."; Testimony before the Kansas Legislature, Senate Assessment and Taxation Committe, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in opposition to Senate Bill 261 ...
Springe, David.
core   +1 more source

Economic impact of screening for X-linked Adrenoleukodystrophy within a newborn blood spot screening programme

Orphanet Journal of Rare Diseases, 2018
Background A decision tree model was built to estimate the economic impact of introducing screening for X-linked adrenoleukodystrophy (X-ALD) into an existing tandem mass spectrometry based newborn screening programme.
Alice Bessey, James B Chilcott, Joanna Leaviss, Anthea Sutton   +3 more
doaj   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

Advanced Intelligent Systems, EarlyView.
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley   +1 more source

Other title: House Bill 2110 - Testimony on Behalf of the Citizens' Utility Ratepayer Board by David Springe, Consumer Counsel

, 2003
application/pdf; "February 19, 2003."; Testimony before the Kansas Legislature, House Committee On Taxation, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in opposition to House Bill 2110.
Springe, David.
core   +1 more source

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Socazolimab combined with carboplatin and etoposide as first-line treatment for extensive-stage small-cell lung cancer: A cost-effectiveness analysis in China.

PLoS ONE
BackgroundThe NCT04878016 trial evaluated the efficacy and safety of socazolimab in combination with carboplatin/etoposide as a first-line treatment for extensive-stage small cell lung cancer (ES-SCLC).
Lian Tang, Yong Chen, Shaoqing Zhan, Longxun Zhu, PanFeng Feng   +4 more
doaj   +1 more source

Dual‐View Representation Learning for Deployable Humanoid Whole‐Body Control

Advanced Intelligent Systems, EarlyView.
Humanoid robots must learn control from limited onboard sensing, although simulation provides richer training‐only states. DVP learning pairs these views of each simulated motion and aligns their latent control features inside the policy‐learning loop. This direct, deployment‐aware supervision accelerates learning while the deployed policy relies only ...
Haolin Song, Wengang Zhou, Mingxiao Feng, Houqiang Li   +3 more
wiley   +1 more source

Other title: House Bill 2116 - Testimony on Behalf of the Citizens' Utility Ratepayer Board by David Springe, Consumer Counsel

, 2009
application/pdf; "February 2, 2009."; Testimony before the Kansas Legislature, House Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony regarding House Bill 2116.
Springe, David.
core   +1 more source