Visualization of Human Behavior Data

Big Data ◽  
2016 ◽  
pp. 1582-1612 ◽  
Author(s):  
Alessandro Marcengo ◽  
Amon Rapp

Although in recent years the Quantified Self (QS) application domain is growing, there are still some palpable fundamental problems that relegate the QS movement in a phase of low maturity. The first is a technological problem, and specifically, a lack of maturity in technologies for the collection, processing, and data visualization. This is accompanied by a perhaps more fundamental problem of deficit, bias, and lack of integration of aspects concerning the human side of the QS idea. The step that the authors tried to make in this chapter is to highlight aspects that could lead to a more robust approach in QS area. This was done, primarily, through a new approach in data visualization and, secondly, through a necessary management of complexity, both in technological terms and, for what concerns the human side of the whole issue, in theoretical terms. The authors have gone a little further stressing how the future directions of research could lead to significant impacts on both individual and social level.

Author(s):  
Alessandro Marcengo ◽  
Amon Rapp

Although in recent years the Quantified Self (QS) application domain is growing, there are still some palpable fundamental problems that relegate the QS movement in a phase of low maturity. The first is a technological problem, and specifically, a lack of maturity in technologies for the collection, processing, and data visualization. This is accompanied by a perhaps more fundamental problem of deficit, bias, and lack of integration of aspects concerning the human side of the QS idea. The step that the authors tried to make in this chapter is to highlight aspects that could lead to a more robust approach in QS area. This was done, primarily, through a new approach in data visualization and, secondly, through a necessary management of complexity, both in technological terms and, for what concerns the human side of the whole issue, in theoretical terms. The authors have gone a little further stressing how the future directions of research could lead to significant impacts on both individual and social level.


2004 ◽  
Vol 19 (1) ◽  
pp. 46-57 ◽  
Author(s):  
C.A. Schuh ◽  
T.G. Nieh

The development of instrumented nanoindentation equipment has occurred concurrently with the discovery of many new families of bulk metallic glass during the past decade. While indentation testing has long been used to assess the mechanical properties of metallic glasses, depth-sensing capabilities offer a new approach to study the fundamental physics behind glass deformation. This article is a succinct review of the research to date on the indentation of metallic glasses. In addition to standard hardness measurements, the onset of plasticity in metallic glasses is reviewed as well as the role of shear banding in indentation, structural changes beneath the indenter, and rate-dependent effects measured by nanoindentation. The article concludes with perspectives about the future directions for nanocontact studies on metallic glasses.


Author(s):  
Mark Ginsburg

Scientific research is hindered when there are artificial barriers preventing the efficient and straightforward sharing of bibliographic information. In today’s computing world, the barriers take the form of incompatible bibliographic formats and constraining operating-system and vendor dependencies. These incompatible platforms isolate the respective camps. In this chapter, we demonstrate and discuss a new approach to unify citation management: the Open Citation System (OCS). OCS uses open XML standards and Java-component technologies. By providing converter tools to migrate citations to a centralized hub in BiblioML format (an XML tag set based on the UniMARC standard), we then make use of XML topic maps to provide an extensible framework for visualization. We take as an example the ACM classification code and show how the OCS system displays citations in a convenient focus and context hyperbolic tree interface. We conclude by discussing future directions planned to extend the OCS system and how open citation management can supply an important piece in our inexorable march toward a worldwide digital library.


1996 ◽  
Vol 05 (01n02) ◽  
pp. 199-218 ◽  
Author(s):  
J.R. BENTON ◽  
S.S. IYENGAR ◽  
W. DENG ◽  
N. BRENER ◽  
V.S. SUBRAHMANIAN

This paper defines a new approach and investigates a fundamental problem in route planners. This capability is important for robotic vehicles(Martian Rovers, etc.) and for planning off-road military maneuvers. The emphasis throughout this paper will be on the design and analysis and hieiaichical implementation of our route planner. This work was motivated by anticipation of the need to search a grid of a trillion points for optimum routes. This cannot be done simply by scaling upward from the algorithms used to search a grid of 10,000 points. Algorithms sufficient for the small grid are totally inadequate for the large grid. Soon, the challenge will be to compute off-road routes more than 100 km long and with a one or two-meter grid. Previous efforts are reviewed and the data structures, decomposition methods and search algorithms are analyzed and limitations are discussed. A detailed discussion of a hieraichical implementation is provided and the experimental results are analyzed.


2009 ◽  
Vol 15 (6) ◽  
pp. 491-504 ◽  
Author(s):  
Frederick H. Schamber

AbstractThe computerized multichannel analyzer running software specifically designed for X-ray analysis appeared very early in the commercialization of the energy dispersive X-ray spectrometer (EDS) and, like the solid-state X-ray detector itself, was built on a technology foundation originally developed for nuclear spectroscopy. However, software techniques employed for gamma-ray spectra could not accommodate the continuum component of EDS spectra, and a new approach was required. Least-squares fitting with “top-hat” filtered spectra proved to be an effective solution that is still widely used today. Though modern computer technology has subsequently contributed greatly to the speed and convenience of present-day EDS software, it seems that the achievable accuracy and precision of spectrum analysis has not fundamentally improved, and most of the early challenges are still quite relevant, although they may appear in new guises. The availability of the high speed silicon drift detector, however, may provide both the incentive and the data precision to drive future advances. This article traces the formative years of EDS software from the personalized perspective of a participant. Factors that shaped the development of the industry are identified, and future directions are speculated.


Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 498
Author(s):  
Vasile Berinde ◽  
Mădălina Păcurar

We obtain existence and uniqueness fixed point theorems as well as approximation results for some classes of mappings defined by symmetric contractive type conditions in a convex metric space in the sense of Takahashi. By using a new approach, i.e., the technique of enrichment of contractive type mappings, we obtain general results which extend the well known Banach contraction mapping principle from metric spaces as well as other corresponding results for enriched mappings defined on Banach spaces. To indicate the relevance of our new results, we present some important particular cases and future directions of research.


2017 ◽  
Author(s):  
Paola Bonizzoni ◽  
Simone Ciccolella ◽  
Gianluca Della Vedova ◽  
Mauricio Soto

AbstractMost of the evolutionary history reconstruction approaches are based on the infinite site assumption, which is underlying the Perfect Phylogeny model and whose main consequence is that acquired mutation can never lost. This results in the clonal model used to explain cancer evolution. Some recent results gives a strong evidence that recurrent and back mutations are present in the evolutionary history of tumors [5,21], thus showing that more general models then the Perfect Phylogeny are required. We propose a new approach that incorporates the possibility of losing a previously acquired mutation, extending the Persistent Phylogeny model [1].We exploit our model to provide an ILP formulation of the problem of reconstructing trees on mixed populations, where the input data consists of the fraction of cells in a set of samples that have a certain mutation. This is a fundamental problem in cancer genomics, where the goal is to study the evolutionary history of a tumor. An experimental analysis shows the usefulness of allowing mutation losses, by studying some real and simulated datasets where our ILP approach provides a better interpretation than the one obtained under perfect phylogeny assumption. Finally, we show how to incorporate multiple back mutations and recurrent mutations in our model.


Genes ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 1015 ◽  
Author(s):  
Ana Neckovic ◽  
Roland A. H. van Oorschot ◽  
Bianca Szkuta ◽  
Annalisa Durdle

The human microbiome is comprised of the microbes that live on and within an individual, as well as immediately surrounding them. Microbial profiling may have forensic utility in the identification or association of individuals with criminal activities, using microbial signatures derived from a personal microbiome. This review highlights some important aspects of recent studies, many of which have revealed issues involving the effect of contamination of microbial samples from both technical and environmental sources and their impacts on microbiome research and the potential forensic applications of microbial profiling. It is imperative that these challenges be discussed and evaluated within a forensic context to better understand the future directions and potential applications of microbial profiling for human identification. It is necessary that the limitations identified be resolved prior to the adoption of microbial profiling, or, at a minimum, acknowledged by those applying this new approach.


Leonardo ◽  
2020 ◽  
Vol 53 (4) ◽  
pp. 367-373
Author(s):  
Fan Xiang ◽  
Shunshan Zhu ◽  
Zhigang Wang ◽  
Kevin Maher ◽  
Yi Liu ◽  
...  

Enhanced Family Tree reimagines the possibilities of family trees with an evolving series of exhibits. The authors’ works combine genealogical data, visualization, 3D technologies and interactivity to explore and display ancient genealogical relationships. Their new approach may reveal questionable relationships in genealogical records. Moreover, the authors’ use of an organic metaphor of a “tree” can be further extended to increase public understanding and engagement. The audience's questions arising from this project show increased curiosity and nuanced questioning about their own family origins and development.


2020 ◽  
Vol 245 ◽  
pp. 06012
Author(s):  
Nicholas Smith ◽  
Lindsey Gray ◽  
Matteo Cremonesi ◽  
Bo Jayatilaka ◽  
Oliver Gutsche ◽  
...  

The coffea framework provides a new approach to High-Energy Physics analysis, via columnar operations, that improves time-to-insight, scalability, portability, and reproducibility of analysis. It is implemented with the Python programming language, the scientific python package ecosystem, and commodity big data technologies. To achieve this suite of improvements across many use cases, coffea takes a factorized approach, separating the analysis implementation and data delivery scheme. All analysis operations are implemented using the NumPy or awkward-array packages which are wrapped to yield user code whose purpose is quickly intuited. Various data delivery schemes are wrapped into a common front-end which accepts user inputs and code, and returns user defined outputs. We will discuss our experience in implementing analysis of CMS data using the coffea framework along with a discussion of the user experience and future directions.


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