scholarly journals Shape-to-graph mapping method for efficient characterization and classification of complex geometries in biological images

2020 ◽  
Vol 16 (9) ◽  
pp. e1007758
Author(s):  
William Pilcher ◽  
Xingyu Yang ◽  
Anastasia Zhurikhina ◽  
Olga Chernaya ◽  
Yinghan Xu ◽  
...  
Keyword(s):  
Mapping Method ◽  
Complex Geometries ◽  
Biological Images ◽  
Graph Mapping

scholarly journals Shape-to-graph Mapping Method for Efficient Characterization and Classification of Complex Geometries in Biological Images

2020 ◽  
Author(s):  
William Pilcher ◽  
Xingyu Yang ◽  
Anastasia Zhurikhina ◽  
Olga Chernaya ◽  
Yinghan Xu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Quantitative Information ◽  
Mapping Method ◽  
Terminal Point ◽  
Small Data ◽  
Imaging Data ◽  
Biophysical Parameters ◽  
Biological Images ◽  
Complex Shapes

AbstractWith the ever-increasing quality and quantity of imaging data in biomedical research comes the demand for computational methodologies that enable efficient and reliable automated extraction of the quantitative information contained within these images. One of the challenges in providing such methodology is the need for tailoring algorithms to the specifics of the data, limiting their areas of application. Here we present a broadly applicable approach to quantification and classification of complex shapes and patterns in biological or other multi-component formations. This approach integrates the mapping of all shape boundaries within an image onto a global information-rich graph and machine learning on the multidimensional measures of the graph. We demonstrated the power of this method by (1) extracting subtle structural differences from visually indistinguishable images in our phenotype rescue experiments using the endothelial tube formations assay, (2) training the algorithm to identify biophysical parameters underlying the formation of different multicellular networks in our simulation model of collective cell behavior, and (3) analyzing the response of U2OS cell cultures to a broad array of small molecule perturbations.Author SummaryIn this paper, we present a methodology that is based on mapping an arbitrary set of outlines onto a complete, strictly defined structure, in which every point representing the shape becomes a terminal point of a global graph. Because this mapping preserves the whole complexity of the shape, it allows for extracting the full scope of geometric features of any scale. Importantly, an extensive set of graph-based metrics in each image makes integration with machine learning routines highly efficient even for a small data sets and provide an opportunity to backtrack the subtle morphological features responsible for the automated distinction into image classes. The resulting tool provides efficient, versatile, and robust quantification of complex shapes and patterns in experimental images.

scholarly journals Challenges and Opportunities of Aligning Forest Function Mapping and the Ecosystem Service Concept in Germany

Forests ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 691 ◽  
Author(s):  
André Tiemann ◽  
Irene Ring
Keyword(s):  
Ecosystem Services ◽  
Natural Capital ◽  
Mapping Method ◽  
Forest Sector ◽  
Governance System ◽  
German States ◽  
Challenges And Opportunities ◽  
Forest Function ◽  
Function Mapping

In the context of considering natural capital in decision-making, the ecosystem services concept is steadily increasing in importance. This also holds for the forest sector in Germany. This development calls for a harmonisation of approaches and terms used in the forest sector, as well as being made compatible with the ecosystem services concept and relevant classifications. In Germany, and a number of Central European countries, a common way to assess the multifunctional benefits of forests is the forest function mapping method. Due to the federal multi-level governance system in Germany, each state has its own classification of forest functions and mapping. A first objective of this paper is to align the various forest function categories across German states as a basis to relate them to the ecosystem services concept. Second, this bottom-up approach is combined with a top-down approach, building on the Common International Classification of Ecosystem Services (CICES). The aim is to develop a harmonised, methodological framework, suitable for accounting forest-related ecosystem services, as a step towards future ecosystem services monitoring and reporting commitments in the forest sector. Finally, the challenges and opportunities of the ecosystem services concept for forest management are discussed and ways forward are elaborated.

scholarly journals Actions of the fall prevention protocol: mapping with the classification of nursing interventions

2017 ◽  
Vol 25 (0) ◽  
Author(s):  
Vanessa Cristina Alves ◽  
Weslen Carlos Junior de Freitas ◽  
Jeferson Silva Ramos ◽  
Samantha Rodrigues Garbis Chagas ◽  
Cissa Azevedo ◽  
...  
Keyword(s):  
Fall Prevention ◽  
Environmental Safety ◽  
Risk Identification ◽  
Mapping Method ◽  
Falls Prevention ◽  
Nursing Interventions ◽  
Safety Control ◽  
Risk Of Falls ◽  
Prevention Protocol

ABSTRACT Objective: to analyze the correspondence between the actions contained in the fall prevention protocol of the Ministry of Health and the Nursing Interventions Classification (NIC) by a cross-mapping. Method: this is a descriptive study carried out in four stages: protocol survey, identification of NIC interventions related to nursing diagnosis, the risk of falls, cross-mapping, and validation of the mapping from the Delphi technique. Results: there were 51 actions identified in the protocol and 42 interventions in the NIC. Two rounds of mapping evaluation were carried out by the experts. There were 47 protocol actions corresponding to 25 NIC interventions. The NIC interventions that presented the highest correspondence with protocol actions were: fall prevention, environmental-safety control, and risk identification. Regarding the classification of similarity and comprehensiveness of the 47 actions of the protocol mapped, 44.7% were considered more detailed and specific than the NIC, 29.8% less specific than the NIC and 25.5% were classified as similar in significance to the NIC. Conclusion: most of the actions contained in the protocol are more specific and detailed, however, the NIC contemplates a greater diversity of interventions and may base a review of the protocol to increase actions related to falls prevention..

Classification of periodic and chaotic passive limit cycles for a compass-gait biped with gait asymmetries

Robotica ◽  
2011 ◽  
Vol 29 (7) ◽  
pp. 967-974 ◽  
Author(s):  
Jae-Sung Moon ◽  
Mark W. Spong
Keyword(s):  
Limit Cycles ◽  
Period Doubling ◽  
Mapping Method ◽  
Stable Limit ◽  
Bifurcation Diagrams ◽  
Cell Mapping ◽  
Cyclic Patterns ◽  
Stable Limit Cycles ◽  
Qualitative Changes

In this paper we study the problem of passive walking for a compass-gait biped with gait asymmetries. In particular, we identify and classify bifurcations leading to chaos caused by the gait asymmetries because of unequal leg masses. We present bifurcation diagrams showing step period versus the ratio of leg masses at various walking slopes. The cell mapping method is used to find stable limit cycles as the parameters are varied. It is found that a variety of bifurcation diagrams can be grouped into six stages that consist of three expanding and three contracting stages. The analysis of each stage shows that marginally stable limit cycles exhibit period-doubling, period-remerging, and saddle-node bifurcations. We also show qualitative changes regarding chaos, i.e., generation and extinction of chaos follow cyclic patterns in passive dynamic walking.

scholarly journals Classification of Cancer Cell Lines Using an Automated Two-dimensional Liquid Mapping Method with Hierarchical Clustering Techniques

2005 ◽  
Vol 5 (1) ◽  
pp. 43-52 ◽  
Author(s):  
Yanfei Wang ◽  
Rong Wu ◽  
Kathleen R. Cho ◽  
Kerby A. Shedden ◽  
Timothy J. Barder ◽  
...  
Keyword(s):  
Cell Lines ◽  
Cancer Cell ◽  
Hierarchical Clustering ◽  
Cancer Cell Lines ◽  
Mapping Method ◽  
Two Dimensional ◽  
Clustering Techniques

scholarly journals Embedding Nursing Interventions into the World Health Organization’s International Classification of Health Interventions (ICHI)

2017 ◽  
Vol 24 (4) ◽  
pp. 722-728 ◽  
Author(s):  
Nicola Fortune ◽  
Nicholas R Hardiker ◽  
Gillian Strudwick
Keyword(s):  
Phase 1 ◽  
Mapping Method ◽  
International Classification ◽  
Health Interventions ◽  
World Health ◽  
Nursing Interventions ◽  
Semantic Matching ◽  
Source Terms ◽  
Future Health

Abstract Objective: The International Classification of Health Interventions, currently being developed, seeks to span all sectors of the health system. Our objective was to test the draft classification’s coverage of interventions commonly delivered by nurses, and propose changes to improve the utility and reliability of the classification for aggregating and analyzing data on nursing interventions. Materials and methods: A 2-phase content mapping method was used: (1) three coders independently applied the classification to a dataset comprising 100 high-frequency nursing interventions; (2) the coders reached consensus for each intervention and identified reasons for initial discrepancies. Results: A consensus code was found for 80 of the 100 source terms; for 34% of these, the code was semantically equivalent to the source term, and for 64% it was broader. Issues that contributed to discrepancies in Phase 1 coding results included concepts in source terms not captured by the classification, ambiguities in source terms, and uncertainty of semantic matching between “action” concepts in source terms and classification codes. Discussion: While the classification generally provides good coverage of nursing interventions, there remain a number of content gaps and granularity issues. Further development of definitions and coding guidance is needed to ensure consistency of application. Conclusion: This study has produced a set of proposals concerning changes needed to improve the classification. The novel method described here will inform future health terminology and classification content coverage studies.

scholarly journals FAST DYNAMIC MESHING METHOD BASED ON DELAUNAY GRAPH AND INVERSE DISTANCE WEIGHTING INTERPOLATION

2016 ◽  
Vol 42 ◽  
pp. 1660166
Author(s):  
YIBIN WANG ◽  
NING QIN ◽  
NING ZHAO
Keyword(s):  
Mapping Method ◽  
Inverse Distance Weighting ◽  
Computational Time ◽  
Mesh Deformation ◽  
Mesh Quality ◽  
Near Surface ◽  
Distance Weighting ◽  
Graph Mapping ◽  
Dynamic Meshing ◽  
Inverse Distance

A novel mesh deformation technique is developed based on the Delaunay graph mapping method and the inverse distance weighting (IDW) interpolation. The algorithm maintains the advantages of the efficiency of Delaunay-graph-mapping mesh deformation while possess the ability for better controlling the near surface mesh quality. The Delaunay graph is used to divide the mesh domain into a number of sub-domains. On each of the sub-domains, the inverse distance weighting interpolation is applied to build a much smaller sized translation matrix between the original mesh and the deformed mesh, resulting a similar efficiency for the mesh deformation as compared to the fast Delaunay graph mapping method. The paper will show how the near-wall mesh quality is controlled and improved by the new method while the computational time is compared with the original Delaunay graph mapping method.

A new adaptation of mapping method to study mixing of multiphase flows in mixers with complex geometries

2008 ◽  
Vol 32 (7) ◽  
pp. 1471-1481 ◽  
Author(s):  
Arash Sarhangi Fard ◽  
Navid M. Famili ◽  
Patrick D. Anderson
Keyword(s):  
Multiphase Flows ◽  
Mapping Method ◽  
Complex Geometries

scholarly journals PENINGKATAN PRESTASI BELAJAR EKONOMI SISWA KELAS X IPA 1 LINTAS MINAT SMA NEGERI 1 GALUR MENGGUNAKAN MIND MAPPING

2019 ◽  
Vol 4 (1) ◽  
pp. 46-57
Author(s):  
Elisabeth Warniningsih
Keyword(s):  
Student Achievement ◽  
Learning Process ◽  
Attitude Scale ◽  
Mapping Method ◽  
Mind Mapping ◽  
Student Activity ◽  
Field Note ◽  
Qualitative Descriptive ◽  
Positive Effect

This study aims to find a way to increase the student achievement in studying economy by using mind mapping method in class X IPA 1 crossed interest lesson of SMAN 1 Galur. This study was a classroom action research with qualitative descriptive approach. This study conducted in two cycle whith three meetings in each cycle. There were 22 students participated as subject in this study. Each meeting applied the following steps: planning, action, and reflection. The data collecting instruments in this study were questionnaire, observation sheets, field note, attitude scale, and achievement test (daily test). The result of this study indicates that by using mind mapping, the learning process became more effective, the student activity during the learning process also more effective, enjoyable, and joyful. The method has positive effect of increasing the student achievement in economic that can be known from: (a) the increase of student activity and students motivation in cycle I and II; (b) the increase of students achievement in cognitive aspect (student learning completeness standard from 77.53% in cycle I and 82.63% in cycle II), and in affective aspect from the level of enough become excellent in the end of the study. Result of the study also supported by the assessment in learning process which was held by the collaborator, from the classification of 50% good to 50% excellent.

Automated artery-venous classification of retinal blood vessels based on structural mapping method

2012 ◽  
Author(s):  
Vinayak S. Joshi ◽  
Mona K. Garvin ◽  
Joseph M. Reinhardt ◽  
Michael D. Abramoff
Keyword(s):  
Blood Vessels ◽  
Mapping Method ◽  
Structural Mapping ◽  
Retinal Blood Vessels
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