1,721,190 research outputs found
Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information
No full textThis book presents tools and principles of information theory as a solution to analyse insufficient information for inference, model and theory building. Info-metrics is a term that was coined in 2009 by the author for an approach based on maximum entropy for constrained optimization. This book is a good mixture of theory and practical applications. It could be of interest for researchers, university professors and graduate studentsintheareaofprobabilityandstatisticsand their applications, such as neural networks, data mining and ‘big data’ analysis
Extracting the most relevant information from biophotonic data: a Constrained Maximum Entropy methodology
Full text linkThis paper presents a novel approach, the Constrained Maximum Entropy (CME) methodology, for
extracting knowledge from biophotonic data. More specifically, we discuss the main issues related to this new
type of data and demonstrate the potential of the CME methodology to incorporate both a priori knowledge
and data constraints to efficiently analyze biophotonic data. The key advantage lies in its ability to determine
the most “unbiased” biophoton distribution - one with maximum entropy among distributions that satisfy given
constraints while remaining uncommitted to unavailable information. Furthermore, we advance the discussion
by proposing that the CME formulation, enriched with quantitative and qualitative constraints derived from
precise biophoton emissions, serves as a powerful new tool for monitoring changes in biological systems. It
holds the potential to identify unstable states and assess the impact of novel treatments on these systems. An
empirical application for the plant study based on imaging sensors and AI mathematical algorithms is also
provided
EVALUATING SOCIAL AND EMOTIONAL SKILLS: NEW ICT- BASED TECHNIQUES
Full text linkGreatest past scientists (Aristotle, Charles Darwin, Konrad Lorenz) have declared the indissoluble link between motions and life, or biological objects psychological state. In this perspective, new technologies are a very powerful tool to measure emotional skills that refer to the abilities to regulate one’s thoughts, emotions and behaviour. We develop a new approach to the identification of emotional skills based on description and analysis of the human energetic field and the recognition of frequencies specific to different emotional states. The objective of this paper is to propose and integrate a new technological based paradigm into a protocol/method to measure social and emotional skills that are relevant for any company, organization to select human resources and to facilitate the development of this type of abilities for employees once hired. The idea is to (i) measure the energy field and to trace its movements using appropriate measuring tools based on bio-photons movements, recorded using highly sophisticated and specific cameras; and (ii) to identify the key factors that represent the main areas of importance even as defined in recent studies by the OECD by means of the language of frequencies
Statistical Analysis and Forecasting Models for Bio Photonic Spectral Measurements to Detect Food Quality
No full textDeveloping a Composite Index by using Spatial Latent Modelling based on Information Theoretic estimation
No full textEnvironmental justice: geostatistical analysis of environmental hazards and socioeconomic factors—the case of Italy
Full text linkThe analysis of environmental issues and the pursuit of environmental justice have gained significant attention in modern times. While progress has been made in understanding environmental impacts and establishing the right to access environmental information, the need to examine environmental inequalities persists. This study aimed to propose a methodology to identify and analyse potential ‘sacrifice zones’ within a region of interest using: (i) Exploratory Spatial Data Analysis (ESDA), (ii) Municipal Risk Indicators, and (iii) Spatial Autoregressive (SAR) models. The relationship between environmental hazards and social disadvantage in the Campania region of Italy was estimated and the findings of this preliminary study in this area are presented. Our preliminary results: (i) reveal a non-random distribution of contaminated sites and waste management plants (ii) localize the ‘sacrifice zones’ that are predominantly located in municipalities between the provinces of Naples and Caserta, (iii) show a disproportionately burdened with higher environmental risk and greater social vulnerability in some specific areas. Further investigations are required to replicate the results of this study under different environmental conditions. Additionally, enabling more precise identification of affected populations and areas subjected to heightened environmental pressures that would enhance the potential of the proposed approach. The proposed methodology can be adapted to different spatial contexts and data sources
Environmental Justice in Italy: A Geo-statistical Analysis of Environmental Hazards and Socioeconomic Factor
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