Results 51 to 60 of about 2,459,786 (308)

Childhood Acute Lymphoblastic Leukemia Survival in Western Kenya: Reduction in Early Deaths and Treatment Abandonment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An earlier study on children diagnosed with acute lymphoblastic leukemia (ALL) at Moi Teaching and Referral Hospital (MTRH) in Kenya reported a low event‐free survival (EFS), excess treatment abandonment, and high induction mortality.
Gilbert Olbara, George Bogonko, Festus Njuguna, Sandra Langat, Martha Kipngetich, Dennis Njenga, Gertjan Johannes Kaspers, Terry Allen Vik   +7 more
wiley   +1 more source

A Linear Approximation Method for a Stochastic Constraint for a Multi-Objective Nonlinear Eurobond Investment Portfolio Model

Journal of Applied Science and Engineering
Nonlinear mathematical models are widely used better to reflect the stochastic structure of financial investment problems and to express them numerically.
Murat Cal, Sibel Atan
doaj   +1 more source

Inpatient Exposure, Confidence, and Knowledge in Pediatric Hematology/Oncology: Evaluating General Pediatric Residents During 2025 ACGME Curriculum Change

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley   +1 more source

A Stochastic Model Predictive Control Strategy for Vehicle Routing with Correlated Stochastic Service Times

Mathematics
Uncertainty in travel and service times poses significant challenges for vehicle routing in logistics systems. This paper proposes a stochastic model predictive control (SMPC) strategy to manage a Vehicle Routing Problem with time windows (VRPTW) under ...
Guosong He, Qiuchi Li, Xingchen Li, Yu Huang, Yi Huang, Qianqian Duan   +5 more
doaj   +1 more source

Joint Chance Constraints in AC Optimal Power Flow: Improving Bounds Through Learning [PDF]

IEEE Transactions on Smart Grid, 2018
This paper considers distribution systems with a high penetration of distributed, renewable generation and addresses the problem of incorporating the associated uncertainty into the optimal operation of these networks.
K. Baker, A. Bernstein
semanticscholar   +1 more source

Mapping Childhood Cancer Care Services in Oceania: Methodological Lessons From the SIOP Global Mapping Programme

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The International Paediatric Oncology Society Global Mapping Programme aims to collect data on global paediatric oncology services by continent, with Africa and Latin America completed. This study reports on the methodology and lessons learned for Oceania, a unique continent with resource disparity across countries, multiple small island ...
Trisha Soosay Raj, Christy Noble, Amy Gray, Daniel C. Moreira, Jennifer Lowe, Maite Gorostegui, Gwenda Anga, Andrew Soma, Milena Lay Dos Santos, Siobhan Cross, Erin Luttrell, Michael Sullivan, Julie Cayrol, Julia Challinor, Neil Ranasinghe, Jordana McLoone, Claire E. Wakefield   +16 more
wiley   +1 more source

Minimization of Water Age in Water Distribution Systems under Uncertain Demand

Engineering Proceedings
Most existing approaches to ensuring water quality in water distribution systems (WDSs) are deterministic, i.e., they do not consider uncertainties, although they may have significant impacts on the water quality.
Kristina Korder, Elad Salomons, Avi Ostfeld, Pu Li   +3 more
doaj   +1 more source

Integrated chance constraints

, 2002
We consider integrated chance constraints (ICC), which provide quantitative alternatives for traditional chance constraints. We derive explicit polyhedral descriptions for the convex feasible sets induced by ICCs, for the case that the underlying distribution is discrete.
Haneveld, Willem K. Klein, Vlerk, Maarten H. van der   +1 more
openaire   +2 more sources

Synthesizing Filtering Algorithms for Global Chance-Constraints [PDF]

, 2009
Stochastic Constraint Satisfaction Problems (SCSPs) are a powerful modeling framework for problems under uncertainty. To solve them is a P-Space task. The only solution approach to date compiles down SCSPs into classical CSPs. This allows the reuse of classical constraint solvers to solve SCSPs, but at the cost of increased space requirements and weak ...
Brahim Hnich, Roberto Rossi 0002, S. Armagan Tarim, Steven D. Prestwich   +3 more
openaire   +4 more sources

Impact of Japan's 2024 Physician Work‐Style Reform on Pediatric Hematology–Oncology: Educational Implications in a 2‐Year Survey

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Japan's 2024 physician work‐style reform introduced legally binding limits on physicians’ working hours, but its impact on education and workforce sustainability in pediatric hematology–oncology (PHO) remains unclear. Procedure We conducted a repeated cross‐sectional study with structured quantitative items and free‐text responses ...
Kiyohiko Kaizu, Masaharu Akiyama, Toshikazu Itabashi, Jun Hayakawa, Takahiro Kikuchi, Ryohei Fukunaga, Katsuyoshi Koh, Takahiro Ueda   +7 more
wiley   +1 more source