Results 51 to 60 of about 689,194 (262)

ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya, Selena Murcia Mendez, Jennifer Kellett, Sarah Wright, Marisel Ponton, Robin T. Higashi, Rahela Aziz‐Bose, Colleen A. Kelly, Ayesha Zia, Joanne Wolfe, Sandi L. Pruitt, Kira Bona   +11 more
wiley   +1 more source

Real‐Time Optimal Operation of Water Systems Under Demand Uncertainty and Maximum Water Age Constraints

Water Resources Research
The inherent uncertainty in water demand poses significant challenges to water distribution systems' (WDSs) efficiency and quality. This study introduces a model predictive control framework tailored for real‐time optimal operation of WDSs under ...
Elad Salomons, Hao Cao, Kristina Korder, Avi Ostfeld, Pu Li   +4 more
doaj   +1 more source

Bridging the Gap in Neuroblastoma Care: Consensus‐Based Statements With Recommendations for Improved Patient and Caregiver Experiences

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger, Joseph Bauer, Jennifer Diamond, Maggie Fader, Shae Hansen, Jacqueline M. Kraveka, Johanna Schoen, Amber Shearer, Dena Sherwood   +8 more
wiley   +1 more source

On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi‐Center Phase‐III Randomized Clinical Trials

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier, Mark Zobeck, Adam J. Esbenshade, Christopher C. Dvorak, Lillian Sung, David Freyer, Sarah Alexander, Etan Orgel, Nicole J. Ullrich, Zach Prudowsky, Brian Fisher, Caitlin W. Elgarten   +11 more
wiley   +1 more source

Synaptic plasticity-based regularizer for artificial neural networks

Scientific Reports
Regularization is an important tool for the generalization of ANN models. Due to the lack of constraints, it cannot guarantee that the model will work in a real environment with input data distribution changes.
Qais Yousef, Pu Li
doaj   +1 more source

Highly efficient ceramic membrane synthesized from sugar scum and fly ash as sustainable precursors for dyes removal

Heliyon
Recycling solid industrial wastes into valuable materials is always the priority solution in waste management. In this perspective, sugar scum and fly ash were used to produce an effective low-cost porous ceramic membrane.
Y. El maguana, R. Chikri, K. Elataoui, H. Ait Said, M. Benchanaa, N. Elhadiri   +5 more
doaj   +1 more source

Determining Parental Factors for Clinical Trial Attrition in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Despite high enrollment rates on Children's Oncology Group (COG) protocols, attrition after initial consent is challenging, introducing bias and prolonging trial completion. While adult oncology literature has identified predictors of withdrawal, little is known about caregiver decision‐making for child participation in ...
Kimberly L. Stathas, Jakob Q. Weiss, Kellee N. Parker, Cathy Lee‐Miller   +3 more
wiley   +1 more source

Prospect certainty for data-driven models

Scientific Reports
The inherent nature of uncertainty in the inputs of data-driven models can lead to incorrect outputs. Such outcomes are difficult to ascertain due to the lack of reference data during the deployment, which hinders their acceptance in practical ...
Qais Yousef, Pu Li
doaj   +1 more source

DS-MKNet: A Dual-Stream Mamba-KAN Network for Sintering Burn-Through Point Prediction via Physics-Driven Dynamic Fusion

IEEE Access
Precise control of the sintering Burn-Through Point (BTP) is crucial for ensuring stable sinter quality and reducing energy consumption. However, BTP prediction faces two major challenges: temporal misalignment caused by long process delays and strong ...
Yabin Wang, Xiaohuan Ning, Jiang Ma, Yunuo Zheng, Shangjing Fan   +4 more
doaj   +1 more source

Manufacturing Process Optimization in the Process Industry

International Journal of Information Technology and Web Engineering
This paper introduces a technology, a data-driven optimization model of manufacturing service in intelligent manufacturing process using deep learning algorithm and resource agent (DDR), and a data-driven resource agent that represents available manufacturing resources.
Shilin Liu, Hanlie Cheng
openaire   +1 more source