Results 61 to 70 of about 1,001,660 (315)

A Review Of Decisions Support Systems For Manufacturing Systems [PDF]

CEUR- Workshop Proceedings, 2017
In the field of manufacturing systems automated data acquisition and development of technological innovations like manufacturing execution systems (MES), Enterprise Resource Planning (ERP), Advanced Planning Systems (APS) and new trends in Big Data and Business Intelligence (BI) have given rise to new applications and methods of existing ...
Felsberger, Andreas, Oberegger, Bernhard, Reiner, Gerald   +2 more
openaire   +3 more sources

Health Literacy, Self‐Efficacy and Knowledge of Sickle Cell Disease Among Caregivers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a hereditary blood disorder in which abnormal haemoglobin leads to severe anaemia, painful crises and organ failure. Caregivers’ health literacy (HL) – their ability to assess, understand and apply information, and interact with healthcare professionals – is crucial for managing children with SCD, yet ...
Melanie Bruinooge, Maite E. Houwing, Rowena L. Grohssteiner, Ferdows Atiq, Sonja A. M. C. Teuben, Mirjam P. Fransen, Marjon H. Cnossen   +6 more
wiley   +1 more source

A new structure of sociotechnical system processes using resilience engineering

International Journal of Engineering Business Management, 2019
In the context of a world dominated by growing uncertainty, complex sociotechnical systems find themselves confronted with unexpected disruptions, which may lead to significant losses.
Saloua Said, Hafida Bouloiz, Maryam Gallab   +2 more
doaj   +1 more source

Toward a model to apprehend the complexity of manufacturing firm’s overall performance

International Journal of Engineering Business Management, 2020
Recently, the company’s overall performance (OP) has become a major concern of our modern society, as a key factor that can potentially increase firm’s competitive advantage and ensure its sustainable development.
Aicha Lamjahdi, Hafida Bouloiz, Maryam Gallab   +2 more
doaj   +1 more source

Asymptotic normality of recursive algorithms via martingale difference arrays [PDF]

Discrete Mathematics & Theoretical Computer Science, 2001
We propose martingale central limit theorems as an tool to prove asymptotic normality of the costs of certain recursive algorithms which are subjected to random input data. The recursive algorithms that we have in mind are such that if input data of size
Werner Schachinger
doaj   +1 more source

Leukemia and Exposure to Potential Benzene Sources in Children From the Mexico City Metropolitan Area, 2010–2021: A Geospatial Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita, Norma Candelaria López Santiago, Claudia Maria García Cuellar, Karla Maldonado Silva, Nancy Reynoso Noverón, Leticia Hernández Cadena   +5 more
wiley   +1 more source

Assessing Energy Poverty in Greece Using Open-Access Data: A National and Regional Analysis Based on the 10% Indicator

Energies
Energy poverty remains a pressing social and policy challenge across Europe, particularly in countries like Greece, where economic disparities and climatic conditions vary significantly between regions.
Alexandros Xenakis, Filippos Dimitrios Mexis, Eleni Kanellou, Haris Doukas   +3 more
doaj   +1 more source

Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte, Hannah Koch, Olivia A. Coughlin, Jillian R. Bouck, Allie Carter, Seethal A. Jacob   +5 more
wiley   +1 more source

Credal Sum-Product Networks [PDF]

, 2017
Sum-product networks are a relatively new and increasingly popular class of (precise) probabilistic graphical models that allow for marginal inference with polynomial effort. As with other probabilistic models, sum-product networks are often learned from
Decision Support Systems, Cozman, Fabio Gagli, de Campos, Cassio P., Sub Decision Support Systems, Conaty, Diarmaid, Maua, Denis Deratani, de Campos, Casio Polpo   +6 more
core  

Learning from incomplete data in Bayesian networks with qualitative influences [PDF]

, 2016
Domain experts can often quite reliably specify the sign of influences between variables in a Bayesian network. If we exploit this prior knowledge in estimating the probabilities of the network, it is more likely to be accepted by its users and may in ...
Sub Algorithmic Data Analysis, Algorithmic Data Analysis, Decision Support Systems, Sub Decision Support Systems, van der Gaag, L.C., Feelders, A.J., Masegosa, Andrés   +6 more
core   +1 more source