Results 61 to 70 of about 37,633,914 (99)

Pronounced Reductions in Plasma Citrulline Indicate Severe Intestinal Mucosal Barrier Injury During Induction Therapy for Pediatric Acute Myeloid Leukemia

European Journal of Haematology, Volume 117, Issue 5, Page 1275-1284, November 2026.
ABSTRACT Objectives Pediatric acute myeloid leukemia (AML) chemotherapy regimens are frequently burdened by fever episodes, systemic inflammation and bloodstream infections (BSI). Mucosal barrier injury may contribute to these complications, but its role in childhood AML remains uninvestigated.
Carla Warley Kjær, Maria Ebbesen Sørum, Silvia De Pietri, Claus Moser, Malene Johanne Petersen, Marianne Hoffmann, Henrik Hasle, Sarah Weischendorff, Klaus Müller   +8 more
wiley   +1 more source

Teaching a Multiagent Systems Class with Game Days: Designs and Lessons Learned [PDF]

, 2003
In the Fall semester of 2002, I introduced and taught a class in Multiagent Systems. The class was aimed for seniors (with special permission) and graduate students in Computer Science, covering some breadth and depth of issues in multiagent systems. One
Soh, Leen-Kiat
core  

Dynamic Obstacle Avoidance of Metamorphic Microrobots Using Concentric Sector Navigator

Advanced Intelligent Systems, Volume 8, Issue 10, October 2026.
Metamorphic magnetic microrobots are navigated using a concentric sector navigator for dynamic obstacle avoidance in both microroller and swarm states. After microroller transport, citrate‐triggered dissolution releases nanoparticles that reassemble into a controllable swarm.
Zhaowen Su, Zerui Li, Lijun Fang, Hoyeon Kim, U Kei Cheang   +4 more
wiley   +1 more source

Correctness properties for multiagent systems

, 2009
What distinguishes multiagent systems from other software systems is their emphasis on the interactions among autonomous, heterogeneous agents. This paper motivates and characterizes correctness properties for multiagent systems.
Chopra, Amit K., Munindar P. Singh, Singh, Munindar P., Amit K. Chopra   +3 more
core   +1 more source

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

Advanced Intelligent Systems, Volume 8, Issue 10, October 2026.
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

Clinicopathological Features and Exploratory Outcome Associations of Bone Marrow Fibrosis in Newly Diagnosed Acute Lymphoblastic Leukemia: A Single‐Center Retrospective Cohort Study

Cancer Medicine, Volume 15, Issue 10, October 2026.
ABSTRACT Bone marrow fibrosis (MF) reflects stromal remodeling and has been associated with treatment resistance and adverse outcomes in hematologic malignancies; however, its clinical significance in acute lymphoblastic leukemia (ALL) remains uncertain.
Ying Chen, Si‐Heng Liu, Cen‐Xia Ran, Wu‐Chen Yang, Jia Li, Xian‐Gui Peng, Lei Gao, Li Gao, Yi‐Mei Feng, Qin Wen, Jun Rao, Pei‐Yan Kong, Xi Zhang, Cheng Zhang   +13 more
wiley   +1 more source

Bruton's Tyrosine Kinase Inhibitors: Mechanisms, Efficacy, Toxicities and Applications for the Treatment of Human Diseases

MedComm, Volume 7, Issue 10, October 2026.
BTK inhibitors suppress malignant B‐cell signaling while simultaneously reshaping immune regulation through effects on T cells and the tumor microenvironment. These mechanisms support combination immunotherapy strategies and also underlie the expanding application of BTK inhibitors in solid tumors, autoimmune and inflammatory diseases.
Miao Sun, Dengju Li, Jia Wei
wiley   +1 more source

Computational Mechanism Design: A Call to Arms

, 2003
Game theory has developed powerful tools for analyzing decision making in systems with multiple autonomous actors. These tools, when tailored to computational settings, provide a foundation for building multiagent software systems.
Jennings, N. R., Dash, Rajdeep K, Parkes, David C, Jennings, NR   +3 more
core  

IGA‐POLLM: An Improved Genetic Algorithm for Prompt Optimization in Materials Literature Information Extraction

Materials Genome Engineering Advances, Volume 4, Issue 4, October 2026.
An improved genetic algorithm is developed to automatically optimize prompts for materials literature information extraction. For corrosion‑inhibitor papers, IGA‑POLLM framework achieves an F1 score of 0.857, outperforming expert‐crafted prompts and randomly sampled prompts.
Hengju Xiang, Suyu Jin, Zhongheng Fu, Guangxuan Song, Jiamin Pei, Zewei Gu, Tian Zhang, Wenxuan Fan, Qiuji Wang, Dawei Zhang   +9 more
wiley   +1 more source

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, Volume 43, Issue 7, Page 4382-4401, October 2026.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source