Results 51 to 60 of about 6,504,273 (325)

Neural Networks in Bankruptcy Prediction - A Comparative Study on the Basis of the First Hungarian Bankruptcy Model [PDF]

open access: yes, 2005
The article attempts to answer the question whether or not the latest bankruptcy prediction techniques are more reliable than traditional mathematical–statistical ones in Hungary.
Kristóf, Tamás, Virág, Miklós
core   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga   +56 more
wiley   +1 more source

NOAA MODIS SST Reanalysis Version 1

open access: yesRemote Sensing, 2023
The first NOAA full-mission reanalysis (RAN1) of the sea surface temperature (SST) from the two Moderate Resolution Imaging Spectroradiometers (MODIS) onboard Terra (24 February 2000–present) and Aqua (4 July 2002–present) was performed.
Olafur Jonasson   +4 more
doaj   +1 more source

Social Capital Capacity as Prediction of Dengue Control [PDF]

open access: yes, 2016
The program of elimination of mosquito breeding places is still low since there is no public participation effort in vector control. Social capital is key factor for sustaining any health programs implemented.
Kartono, D. T. (Drajat)   +3 more
core  

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis   +13 more
wiley   +1 more source

ALPINE : Active Link Prediction using Network Embedding [PDF]

open access: yes, 2020
Many real-world problems can be formalized as predicting links in a partially observed network. Examples include Facebook friendship suggestions, consumer-product recommendations, and the identification of hidden interactions between actors in a crime ...
Chen, Xi   +3 more
core   +1 more source

Bootstrap predictive inference for ARIMA processes [PDF]

open access: yes, 2004
In this study, we propose a new bootstrap strategy to obtain prediction intervals for autoregressive integrated moving-average processes. Its main advantage over other bootstrap methods previously proposed for autoregressive integrated processes is that ...
Pascual, Lorenzo   +2 more
core   +2 more sources

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed   +5 more
wiley   +1 more source

Cellular Automata and Markov Chain Based Urban Growth Prediction

open access: yesInternational Journal of Environment and Geoinformatics, 2021
The urban share of the Indian population jumped from 18% in 1961 to 31.16% in 2011 (Gupta et.al2013). This huge spurt in growth of the population is putting a huge demand on available land resource.
Cellular Automata and Markov Chain Based Urban Growth Prediction
doaj   +1 more source

Predictive sets

open access: yesStochastics and Dynamics, 2020
A set [Formula: see text] is called predictive if for any zero entropy finite-valued stationary process [Formula: see text], [Formula: see text] is measurable with respect to [Formula: see text]. We know that [Formula: see text] is a predictive set. In this paper, we give sufficient conditions and necessary ones for a set to be predictive.
Chandgotia, Nishant, Weiss, Benjamin
openaire   +3 more sources

Home - About - Disclaimer - Privacy