Entropic Information Theory: Formulae and Quantum Gravity, Bits from bit

We show here that entropic information is capable of unifying all aspects of the universe at all scales in a coherent and global theoretical mathematical framework materialized by entropic information framework, theory and formulas, where dark matter, dark energy and gravity are truly informationals processes and where information is code and code is what creates the process, it is itself the process. Mass, energy and movement of information are respectively dark matter, dark energy, and gravity. Here, we reconcile general relativity and quantum mechanics by introducing quantum gravity for the Planckian scale. The formulas of entropic information are expressed in natural units, physical units of measurement based only on universal constants, constants, which refer to the basic structure of the laws of physics: C and G are part of the structure of space-time in general relativity, and h captures the relationship between energy and frequency that is the basis of quantum mechanics. Here we show that entropic information formulas are able to present entropic information in various unifying aspects and introduce gravity at the Planck scale. We prove that Entropic information theory is thus building the bridge between general relativity and quantum mechanics

Entropic Information Theory: Formulae and Quantum Gravity, Bits from Bit

We show here that entropic information is capable of unifying all aspects of the universe at all scales in a coherent and global theoretical mathematical framework materialized by entropic information framework, theory and formulas, where dark matter, dark energy and gravity are truly informationals processes and where information is code and code is what creates the process, it is itself the process. Mass, energy and movement of information are respectively dark matter, dark energy, and gravity. Here, we reconcile general relativity and quantum mechanics by introducing quantum gravity for the Planckian scale. The formulas of entropic information are expressed in natural units, physical units of measurement based only on universal constants, constants, which refer to the basic structure of the laws of physics: C and G are part of the structure of space-time in general relativity, and h captures the relationship between energy and frequency that is the basis of quantum mechanics. Here we show that entropic information formulas are able to present entropic information in various unifying aspects and introduce gravity at the Planck scale. We prove that Entropic information theory is thus building the bridge between general relativity and quantum mechanics

Entropic Information Theory: Formulae and Quantum Gravity Bits from Bit

We show here that entropic information is capable of unifying all aspects of the universe at all scales in a coherent and global theoretical mathematical framework materialized by entropic information framework, theory and formulas, where dark matter, dark energy and gravity are truly informationals processes and where information is code and code is what creates the process, it is itself the process. Mass, energy and movement of information are respectively dark matter, dark energy, and gravity. Here, we reconcile general relativity and quantum mechanics by introducing quantum gravity for the Planckian scale. The formulas of entropic information are expressed in natural units, physical units of measurement based only on universal constants, constants, which refer to the basic structure of the laws of physics: C and G are part of the structure of space-time in general relativity, and h captures the relationship between energy and frequency that is the basis of quantum mechanics. Here we show that entropic information formulas are able to present entropic information in various unifying aspects and introduce gravity at the Planck scale. We prove that Entropic information theory is thus building the bridge between general relativity and quantum mechanics

Sex-Specific Metabolic Pathways Were Associated with Alzheimer’s Disease (AD) Endophenotypes in the European Medical Information Framework for AD Multimodal Biomarker Discovery Cohort

Background: physiological differences between males and females could contribute to the development of Alzheimer's Disease (AD). Here, we examined metabolic pathways that may lead to precision medicine initiatives. Methods: We explored whether sex modifies the association of 540 plasma metabolites with AD endophenotypes including diagnosis, cerebrospinal fluid (CSF) biomarkers, brain imaging, and cognition using regression analyses for 695 participants (377 females), followed by sex-specific pathway overrepresentation analyses, APOE ε4 stratification and assessment of metabolites’ discriminatory performance in AD. Results: In females with AD, vanillylmandelate (tyrosine pathway) was increased and tryptophan betaine (tryptophan pathway) was decreased. The inclusion of these two metabolites (area under curve (AUC) = 0.83, standard error (SE) = 0.029) to a baseline model (covariates + CSF biomarkers, AUC = 0.92, SE = 0.019) resulted in a significantly higher AUC of 0.96 (SE = 0.012). Kynurenate was decreased in males with AD (AUC = 0.679, SE = 0.046). Conclusions: metabolic sex-specific differences were reported, covering neurotransmission and inflammation pathways with AD endophenotypes. Two metabolites, in pathways related to dopamine and serotonin, were associated to females, paving the way to personalised treatment.

A Theory of Information Trilogy: Digital Ecosystem Information Exchange Architecture

Information sharing is a critical component of a distributed and multi-actor digital ecosystem (DE). DE actors, individuals and organisations, require seamless, effective, efficient, and secure architecture for exchanging information. Traditional point-to-point and ad hoc integrations hinder the ability of DE actors to do so. The challenge is figuring out how to enable information sharing in a complex DE. This paper addresses this important research challenge and proposes the theory of information trilogy and conceptual DE information exchange architecture, which is inspired by the study of nature and flow of matter, energy, and its states in natural ecosystems. This work is a part of the large DE information framework. The scope of this paper is limited to the emerging concept of DE information exchange. The application of the DE information exchange concept is demonstrated with the help of a geospatial information sharing case study example. The results from this paper can be used by researchers and practitioners for defining the DE information exchange as appropriate to their context. This work also complements Shannon’s mathematical theory of communication.

Finding Information Framework: A Tool to Teach Life-Long Learning Skills

Introduction: In this age of rapid information expansion, medical education can no longer be taught solely by information acquisition, but rather requires information management and information mastery at both the point of learning as well as at the clinical point of care. We must teach our trainees how to ask, categorize, and answer their own questions—skills required to be a life-long learner. We developed the Finding Information Framework (FIF), a conceptual algorithm as well as web-based tool and app, to guide medical students in asking and categorizing their questions and to link them directly to the most appropriate information resource for their questions. Here we assess the functionality of the FIF following its implementation in the first-year medical school curriculum problem-based learning (PBL) course. Methods: First-year medical students (n=126) utilized the FIF in their longitudinal problem-based learning course discussion groups and completed an anonymous survey. Results: Qualitative and quantative data suggest that the FIF was easy to use (86.5%), supported the course curriculum (80%), and helped students find relevant information to answer their questions (77%) from trusted reliable resources (70%). Qualitative comments also suggest that the FIF is initially a helpful tool during the PBL course but becomes less useful over time as students become more familiar with resources. Conclusion: The FIF assists students in identifying trusted resources and in efficiently and effectively finding answers to questions at the point of learning. These data suggest that students are internalizing the tool’s conceptual algorithm over time, reinforcing the teaching of information management and information mastery.

Remotely Sensed Image Based on Robust Segmentation and GIS System

The continuous rising abstraction resolution of distant police work sensors sets new interest for applications victimization this information. For mining valuable information from far flung police work data, various classifiers hooked in to the supernatural examination of individual pixels are projected and big advancement has been accomplished. Even so, these methodologies have their restrictions, for the foremost half they manufacture "salt and pepper" boisterous outcomes. to beat such problems, object-arranged image examination strategy hooked in to multi-resolution division methodology was advanced and it's been used for various application functions effectively. During this examination, a productive remotely detected image smart understanding technique hooked in to image division and geographical information framework (GIS) was projected, within the 1st place, division hooked in to mean shift was utilized to amass the underlying parts from distant police work footage. At that time, apply vectorization (Raster to Vector Convertor) strategy to supply polygons from the divided image and highlight attributions, as an example, ghostly, shape, surface then on square measure removed by zonal investigation hooked in to distinctive formation and polygons. At last, creating getting ready take a look at and administered characterization square measure dispensed. just about all means that square measure accomplished in geo-data framework with the exception of image division. supported the investigation, we have a tendency to engineered up a product arrangement of remotely detected image examination. Contrasted and also the understanding methodology of a business programming eCognition, the projected one was gettable and practiced once applied to the Quick bird remotely detected footage.