Results 41 to 50 of about 11,761,096 (290)

Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling

open access: yesIEEE Access
Federated learning that is an approach to addressing the “data silo” problem in a collaborative fashion may face the risk of data leakage in real-world contexts.
Yi Chen, Dan Chen, Niansheng Tang
doaj   +1 more source

Inverse Optimal Adaptive H8 Consensus Control of Multi-Agent Systems on Directed Network Graphs

open access: yesSICE Journal of Control, Measurement, and System Integration, 2018
Design methods of inverse optimal adaptive H8 consensus control of multi-agent systems denoted by the first-order and the second-order regression models on directed network graphs are presented in this paper.
Yoshihiko Miyasato
doaj   +1 more source

Recognition of Metal Ion Ligand-Binding Residues by Adding Correlation Features and Propensity Factors

open access: yesFrontiers in Genetics, 2022
The realization of many protein functions is inseparable from the interaction with ligands; in particular, the combination of protein and metal ion ligands performs an important biological function.
Shuang Xu   +13 more
doaj   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács   +8 more
wiley   +1 more source

Automated statistical analysis program (ASAP) [PDF]

open access: yes, 1975
Pattern recognition subprogram is used to produce table which indicates sections of input data.
Bavuso, S. J.
core   +1 more source

Modern Statistical Methods for GLAST Event Analysis [PDF]

open access: yes, 2007
We describe a statistical reconstruction methodology for the GLAST LAT. The methodology incorporates in detail the statistics of the interactions of photons and charged particles with the tungsten layers in the LAT, and uses the scattering distributions ...
Cohen-Tanugi, Johann, Morris, Robin D.
core   +4 more sources

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait   +23 more
wiley   +1 more source

Datasets on how misinformation promotes immune perception of COVID-19 pandemic in Africa

open access: yesData in Brief, 2020
The dataset investigates the magnitude of the misinformation content influencing scepticisms about the novel COVID-19 pandemic in Africa. The data is collected via an electronic questionnaire method and twenty-one Africa countries randomly participated ...
Olalekan Akintande, Olusanya Olubusoye
doaj   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski   +9 more
wiley   +1 more source

Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data

open access: yesEntropy
This paper develops a penalized exponentially tilted (ET) likelihood to simultaneously estimate unknown parameters and select variables for growing dimensional models with missing response at random.
Xiaoming Sha   +2 more
doaj   +1 more source

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