Results 71 to 80 of about 134,347 (253)

Causal Reinforcement Learning Algorithm Based on Causal Mask [PDF]

Jisuanji gongcheng
Reinforcement Learning (RL) has become an important solution to sequential continuous decision-making problems, such as root cause localization of fault alarms; however, existing methods suffer from low sample efficiency and high exploration costs that ...
HUANG Siyang, CAI Ruichu, QIAO Jie, HAO Zhifeng
doaj   +1 more source

Occurrence of Extramedullary Relapses in Pediatric Acute Lymphoblastic Leukemia After Treatment With Blinatumomab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We report a retrospective single‐center analysis of pediatric patients with relapsed or refractory B‐cell precursor acute lymphoblastic leukemia focusing on relapses outside of the typical locations, bone marrow, central nervous system, or testes.
Johanna Kunz, Martin Ebinger, Michaela Döring, Markus Mezger, Ursula Holzer, Rupert Handgretinger, Peter Lang, Manon Queudeville   +7 more
wiley   +1 more source

Enes Causal Discovery

CoRR
Enes The proposed architecture is a mixture of experts, which allows for the model entities, such as the causal relationships, to be further parameterized. More specifically, an attempt is made to exploit a neural net as implementing neurons poses a great challenge for this dataset. To explain, a simple and fast Pearson coefficient linear model usually
openaire   +2 more sources

Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin, Bérengère Koehl, Audrey Maudoux, Hanine Mansour, Marie‐Hélène Odievre, Nathalie Garrec, Emilie Georget, Cécile Arnaud, Slimane Allali, Lydia Doumdo, Marie Belloy, Corinne Guitton   +11 more
wiley   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho, Karim M. Soliman, Wisit Cheungpasitporn, Wannasit Wathanavasin, Ahmed Daoud, Ahmed I. Kamal, Balázs Szamosfalvi, Tibor Fülöp   +7 more
wiley   +1 more source

Serum Myonectin Levels Are Positively Associated With Physical Function and Lower Frailty‐Related Limitation in Maintenance Hemodialysis Patients: A Cross‐Sectional Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono, Yoshifumi Moriyama, Koji Ohashi, Naoya Otaka, Minako Tatsumi, Toyoaki Murohara, Noriyuki Ouchi, Satoru Oshima   +7 more
wiley   +1 more source

Causal feedback-based imputation causal discovery

四川大学学报. 自然科学版
Causal discovery is an important part of causal inference and the goal is to discover the data generation mechanism in the form of Directed Acyclic Graphs （DAGs）.
MA Cong-Li, HUANG Fei-Hu, YI Pei-Yu, WANG Lin-Na, PENG Jian   +4 more
doaj  

Cause-effect discovery in hydrometeorological systems: evaluation of causal discovery methods [PDF]

Hydrology and Earth System Sciences
Identifying the driver(s) of a process or phenomenon is central to understanding and predicting its future state. In complex hydrometeorological systems, a process can have multiple drivers dynamically coupled to the system across timescales.
V. K. Yadav, V. K. Yadav, M. C. Peel, K. Fowler, D. Ryu, B. D. Vishwakarma, B. D. Vishwakarma   +6 more
doaj   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

Causal discovery and logic. [PDF]

, 2013
Contains fulltext : 112897.pdf (Publisher’s version ) (Open Access)
openaire   +1 more source