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Evaluating the Presence of Greek Tourism-Related Public Sector Entities in Online Social Networks
Social networks have become one of the most popular tools in promoting the tourism product. This applies to National Tourism Agencies, as well as tourism-related general government bodies (GGBs) and local authorities (LAs). This...
Published by: IGI Global Scientific Publishing
Simulation Modeling and Analysis of a Door Industry
Ιn this paper, the authors study the production line of a door industry. The first stage of this research consists of the detailed documentation with flow charts and systematization of all production processes, all product...
Published by: IGI Global Scientific Publishing
Forecasting for big data
Traditionally, forecasters focus on the development algorithms to identify optimal models and sets of parameters, optimal in the sense of within-sample fitting. However, this quest strongly assumes that optimally set parameters...
Surface electrodes record and label brain neurons in insects.
We used suction electrodes to reliably record the activity of identified ascending auditory interneurons from the anterior surface of the brain in crickets. Electrodes were gently attached to the sheath covering the projection...
auditory neurons Brain electrophoretic staining single cell recordings suction electrodes Acoustic Stimulation Action Potentials Animals Auditory Perception Brain Electrodes Female Fluorescent Dyes Gryllidae Neuroanatomical Tract-Tracing Techniques Neurons Restraint Physical Signal Processing Computer-Assisted
'Horses for Courses’ in demand forecasting
Fotios Petropoulos, Spyros Makridakis, Vassilios Assimakopoulos, Konstantinos Nikolopoulos
Aug 16, 2014
Forecasting as a scientific discipline has progressed a lot in the last 40 years, with Nobel prizes being awarded for seminal work in the field, most notably to Engle, Granger and Kahneman. Despite these advances, even today we...
Forecasting for big data
Traditionally, forecasters focus on the development algorithms to identify optimal models and sets of parameters, optimal in the sense of within-sample fitting. However, this quest strongly assumes that optimally set parameters...
What drives substantive versus symbolic implementation of ISO 14001 in a time of economic crisis? Insights from greek manufacturing companies
This paper analyses the role of external pressures, internal motivations and their interplay, with the intention of identifying whether they drive substantive or instead symbolic implementation of ISO 14001. The context is one...
Analysing the evolution of aerospace ecosystem development
Aerospace manufacturing industry is predicted to continue growing. Rising demand is triggering the current global aerospace ecosystem to evolve and adapt to challenges never faced before. New players into the aerospace...
Digital Hazards for Feeding and Eating
Abstract: Purpose of Review: We aimed to accrue recent evidence exploring effects of modern online activities (e.g., Internet use) on feeding and eating disorder symptoms, and related traits. We examined available evidence to...
An auditory-responsive interneuron descending from the cricket brain
Crickets receive auditory information from their environment via ears located on the front legs. Ascending interneurons forward auditory activity to the brain, which houses a pattern recognition network for phonotaxis to...
SMEs and Certified Management Standards
Existing research on certifiable management standards (CMS) and corporate social responsibility (CSR) tends to focus on large companies and is characterised by disagreement about the role of these standards as drivers of CSR. We...
The optimal distribution of the tax burden over the business cycle
This paper analyzes optimal capital and labor income taxation for households differentiated by labor skill, income, and wealth, under a balanced government budget, over the business cycle. A model incorporating capital-skill...
Judgmental Selection of Forecasting Models
In this paper, we explored how judgment can be used to improve the selection of a forecasting model. We compared the performance of judgmental model selection against a standard algorithm based on information criteria. We also...
behavioral operations combination decomposition model selection /dk/atira/pure/subjectarea/asjc/1400/1408 name=Strategy and Management /dk/atira/pure/subjectarea/asjc/1800/1803 name=Management Science and Operations Research /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering
'Horses for Courses’ in demand forecasting
Fotios Petropoulos, Spyros Makridakis, Vassilios Assimakopoulos, Konstantinos Nikolopoulos
Aug 16, 2014
Forecasting as a scientific discipline has progressed a lot in the last 40 years, with Nobel prizes being awarded for seminal work in the field, most notably to Engle, Granger and Kahneman. Despite these advances, even today we...
Adaptive evolutionary neural networks for forecasting and trading without a data-snooping bias
In this paper, we present two Neural Network based techniques, an adaptive evolutionary Multilayer Perceptron (aDEMLP) and an adaptive evolutionary Wavelet Neural Network (aDEWNN). The two models are applied to the task of...
Digital Hazards for Feeding and Eating
PURPOSE OF REVIEW: We aimed to accrue recent evidence exploring effects of modern online activities (e.g., Internet use) on feeding and eating disorder symptoms, and related traits. We examined available evidence to ascertain...
Digital Twins for Synchronized Port-Centric Optimization Enabling Shipping Emissions Reduction
Efstathios Zavvos, Konstantinos Zavitsas, Charilaos Latinopoulos, Veerle Leemen, Aristides Halatsis
Apr 09, 2024
Digital twins can help ports, operators and their customers streamline processes, improve safety, and reduce emissions in transport operations that involve at least a maritime leg. This chapter discusses the necessary context...
Sustainable Development Business and Management Operations and Service Management Computer Science and Information Technology Life Sciences
Published by: IGI Global Scientific Publishing
The blending region hybrid framework for the simulation of stochastic reaction-diffusion processes
Kit Yates, Adam George, Armand Jordana, Cameron Smith, Andrew Duncan, Konstantinos Zygalakis
Oct 28, 2020
The simulation of stochastic reaction-diffusion systems using fine-grained representations can become computationally prohibitive when particle numbers become large. If particle numbers are sufficiently high then it may be...
Revealing the intrinsic nature of the mid-gap defects in amorphous Ge2Sb2Te5.
Understanding the relation between the time-dependent resistance drift in the amorphous state of phase-change materials and the localised states in the band gap of the glass is crucial for the development of memory devices with...
Bioengineering solutions for ureteric disorders
Konstantinos Kapetanos, Alexander Light, Niyukta Thakare, Krishnaa Mahbubani, Kasra Saeb-Parsy, Kourosh Saeb-Parsy
May 15, 2022
OBJECTIVES: To summarise the causes of ureteric damage and the current standard of care, discussing the risks and benefits of available therapeutic options. We then focus on the current and future solutions that can be provided...
The Impact of Regulatory Complexity upon Self-regulation
This article focuses on environmental management systems (EMS) and aims to enhance our understanding of the relationship between environmental state regulation and self-regulation. Unlike previous studies that treat state...
The optimal distribution of the tax burden over the business cycle
This paper analyzes optimal capital and labor income taxation for households differentiated by labor skill, income, and wealth, under a balanced government budget, over the business cycle. A model incorporating capital-skill...
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