Results 51 to 60 of about 1,365,709 (331)

Implementing a Business Process Management System Using ADEPT: A Real-World Case Study [PDF]

, 2000
This article describes how the agent-based design of ADEPT (advanced decision environment for processed tasks) and implementation philosophy was used to prototype a business process management system for a real-world application.
Alty, J. L., Faratin, P., Jennings, N. R., Norman, Timothy, O'Brien, P., Odgers, B.   +5 more
core   +5 more sources

The Efficacy and Safety of Bevacizumab/Irinotecan/Temozolomide (BIT) for Relapsed/Refractory Neuroblastoma: The UK Children's Cancer and Leukaemia Group Experience

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Patients with high‐risk neuroblastoma who either are refractory to induction chemotherapy or relapse following multi‐modal treatment have a dismal prognosis. Based on data from the BEACON trial, since 2021 the UK national guidelines recommend bevacizumab, irinotecan, and temozolomide (BIT) for patients with relapsed/refractory ...
Thomas J. Jackson, Menna Shamma, Upeka Senanayake, Shaimaa Sahmoud, Kathleen Duffin, Victoria Howard, David King, Ayesha Fathani, Blanche Lumb, Andrei Pobischan, Irum Latif Memon, Monzir Ahmed, Rhian Thomas, Gerard Millen, Yasmeen Alomari, Sucheta Vaidya, Lynley V. Marshall, Sally L. George, Ramya Ramanujachar, Juliet Gray, Paola Angelini   +20 more
wiley   +1 more source

Novel anticoagulants for stroke prevention in atrial fibrillation: a systematic review of cost-effectiveness models.

PLoS ONE, 2013
ObjectiveTo conduct a systematic review of economic models of newer anticoagulants for stroke prevention in atrial fibrillation (SPAF).Patients and methodsWe searched Medline, Embase, NHSEED and HTA databases and the Tuft's Registry from January 1, 2008 ...
Brendan L Limone, William L Baker, Jeffrey Kluger, Craig I Coleman   +3 more
doaj   +1 more source

Treatment Decision‐Making Roles and Preferences Among Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Decision‐making (DM) dynamics between adolescents and young adults (AYAs) with cancer, parents, and oncologists remain underexplored in diverse populations. We examined cancer treatment DM preferences among an ethnically and socioeconomically diverse group of AYAs and their parents.
Amanda M. Gutierrez, Jill O. Robinson, Wendy A. Allen‐Rhoades, Hadley S. Smith, Isabel Canfield, Rebecca L. Hsu, Sarah R. Scollon, Lauren R. Desrosiers‐Battu, Nicole M. Schneider, Frank Y. Lin, Donald Williams Parsons, Sharon E. Plon, Mary A. Majumder, Janet Malek, Amy L. McGuire   +14 more
wiley   +1 more source

Distributed Consensus Tracking of Incommensurate Heterogeneous Fractional-Order Multi-Agent Systems Based on Vector Lyapunov Function Method

Fractal and Fractional
This paper investigates the tracking problem of fractional-order multi-agent systems. Both the order and parameters of the leader are unknown. Firstly, based on the positive system approach, the asymptotically stable criteria for incommensurate linear ...
Conggui Huang, Fei Wang
doaj   +1 more source

A PRSZT Registry Analysis of Prognostic Factors Influencing Survival and Relapse Rates After Second Allogeneic Hematopoietic Stem Cell Transplantation in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm, Imme Haubitz, Rita Beier, Martin Zimmermann, Andrej Lissat, Peter Bader, Matthias Eyrich, Jan‐Henning Klusmann, Matthias Wölfl, Paul‐Gerhardt Schlegel, Verena Wiegering   +10 more
wiley   +1 more source

Boosting Deep Reinforcement Learning Agents with Generative Data Augmentation

Applied Sciences, 2023
Data augmentation is a promising technique in improving exploration and convergence speed in deep reinforcement learning methodologies. In this work, we propose a data augmentation framework based on generative models for creating completely novel states
Tasos Papagiannis, Georgios Alexandridis, Andreas Stafylopatis   +2 more
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

The role and implications of mammalian cellular circadian entrainment

FEBS Letters, EarlyView.
At their most fundamental level, mammalian circadian rhythms occur inside every individual cell. To tell the correct time, cells must align (or ‘entrain’) their circadian rhythm to the external environment. In this review, we highlight how cells entrain to the major circadian cues of light, feeding and temperature, and the implications this has for our
Priya Crosby
wiley   +1 more source

Efficient Calibration of Heterogeneous Agent-Based Pedestrian Model Using PSO With Deep Learning Surrogates

IEEE Access
This paper presents an efficient framework for calibrating heterogeneous agent-based pedestrian models by combining particle swarm optimization (PSO) with deep learning-based surrogate modeling.
Sanjjamts Amartaivan, Hiroshi Morita
doaj   +1 more source