Results 51 to 60 of about 3,104,231 (310)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Immune effector cell‐associated hemophagocytic lymphohistiocytosis‐like syndrome (IEC‐HS) is a life‐threatening hyperinflammatory toxicity distinct from cytokine release syndrome (CRS) and neurotoxicity following chimeric antigen receptor T‐cell (CAR‐T) therapy. In a single‐institution retrospective cohort of pediatric and young adult patients
Thomas J. Galletta +6 more
wiley +1 more source
Gestión de Proyectos con PMBOK y LEGO(R) SERIOUS PLAY(R) [PDF]
, 2018 Jornadas de Ingenieria del Software y Bases de Datos, JISBD 2018 (23rd. 2018. Sevilla)Este trabajo ha sido apoyado por el proyecto POLOLAS (TIN2016-76956-C3-2-R) del Ministerio de Economía y ...
Suárez Otero, Pablo +7 more
core
R-scripts for performing analyses and generating source data for figures
, 2021 The files are R-scripts for analysing the - human ESCC cohort data (10X scRNA-Seq from cohorts-1 and 2, and the 10X Visium data from cohort-1)- mouse ESCC cohort dataThe file Code-InferEsopNet.R is a script for inferring the esophageal regulatory network
Andrew Teschendorff (10582007)
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
wiley +1 more source
Exploratory Factor Analysis with R Software
Anadolu Üniversitesi Eğitim Fakültesi dergisi, 2020 Exploratory Factor Analysis (EFA) is frequently used in educational and social sciences. EFA has been used in scale development and adaptation studies, in particular. Therefore, in this study, how to conduct EFA in R software has been explained. First of
Abdullah Faruk Kılıç
doaj +2 more sources
Graph Convolutional Networks and Attention-Based Outlier Detection
IEEE Access, 2022 Outlier detection is a significant research direction in machine learning and has many applications in finance, network security, and other areas. Outlier detection of Euclidean datasets is a mainstream problem in outlier detection.
Rui Qiu +4 more
doaj +1 more source
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 +7 more
wiley +1 more source
IET Image Processing, 2023 Objects in a real scene often occlude each other and inferring a complete appearance from the visible part is an important and challenging task. In this paper, the authors propose a self‐supervised generative adversarial network GIGAN (GAN for generating
Fengnan Quan, Bo Lang
doaj +1 more source
Software RobustGaSP: Robust Gaussian Stochastic Process Emulation in R
, 2022 Software package for R that performs robust parameter estimation and prediction of Gaussian stochastic process emulators. It allows for robust parameter estimation and prediction using Gaussian stochastic process emulator. It also implements the parallel
Gu, Mengyang +2 more
core
, 2023 - "Main_Koehler-JXP-2023.R " is the main code to generate the simulation-outputs - "Functions_Koehler-JXP-2023.R" is a collection of functions needed to run "Main_Koehler-JXP-2023.R" - "SHPs_Koehler-JXP-2023.rds" is a characterization of the soil ...
Tina Koehler (16421661) +3 more
core +1 more source