Results 71 to 80 of about 20,244,257 (338)

On the k-error linear complexity of p(m)-periodic binary sequences

open access: yes, 2019
In this correspondence, we study the statistical stability properties of p(m)-periodic binary sequences in terms of their linear complexity and k-error linear complexity, where 1) is a prime number and 2 is a primitive root modulo p(2).
Han, YK, Yang, K, Chung, JH
core   +1 more source

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters   +17 more
wiley   +1 more source

Microfilarial distribution of Loa loa in the human host: population dynamics and epidemiological implications. [PDF]

open access: yes, 2006
Severe adverse events (SAEs) following ivermectin treatment may occur in people harbouring high Loa loa microfilarial (mf) densities. In the context of mass ivermectin distribution for onchocerciasis control in Africa, it is crucial to define precisely ...
Pion, Sébastien   +11 more
core   +1 more source

Supporting Survivor‐Centered Care Through Digital Health Integration

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Survivors of childhood cancer face barriers to receiving guideline‐based, long‐term follow‐up care. Two digital tools, Passport for Care (PFC) and Cancer SurvivorLink (SurvivorLink), address complementary gaps by enabling tailored survivorship care plan (SCP) generation, updating, storage, and sharing.
Jordan G. Marchak   +15 more
wiley   +1 more source

An Improved K-means Method with Density Distribution Analysis

open access: yesMATEC Web of Conferences, 2018
In this paper, a novel K-means clustering algorithm is proposed. Before running the traditional Kmeans, the cluster centers should be randomly selected, which would influence the time cost and accuracy.
Xue Huiwen, Li Haochen, Wang Yanfei
doaj   +1 more source

Mellin Transform-Based Approach for Parameter Estimation of K Distribution Plus Noise

open access: yesIEEE Access, 2019
Mellin transform is a fast and robust method for parameter estimation. In this paper, the parameter estimator of K plus noise (KpN) model based on the Mellin transform is proposed.
Kuihua Huang, Chao Chen, Gui Gao
doaj   +1 more source

SU(3) Breaking in K and K* Distribution Amplitudes

open access: yes, 2003
22 pages; eqs.(B.1) and (B.2) corrected; numerics and conclusions ...
Ball, P., Boglione, M.
openaire   +4 more sources

Efficacy and Safety Analysis of Roxarestat in Regulating Renal Anemia in Patients on Maintenance Hemodialysis

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi   +5 more
wiley   +1 more source

Optimal approximation of discrete probability distribution with kth-order dependency and its application to combining multiple classifiers

open access: yes, 1997
In order to probabilistically combine multiple decisions of K classifiers obtained from samples, a (K + 1)st-order probability distribution is needed.
Kim, JinHyung, Kang, HJ, Kim, K
core   +1 more source

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