The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Elena Kokoliou - One of the best experts on this subject based on the ideXlab platform.
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Skin & hair properties evaluation methods
internal, 2017Co-Authors: Elena KokoliouAbstract:Mapp MM100 can be combined with the Corneometer®, Courage Khazaka, for quantitative assessment of the hydration level of the stratum corneum and the Tewameter
Wenhong Liu - One of the best experts on this subject based on the ideXlab platform.
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ICIC (2) - A software Quantitative Assessment method based on software testing
Lecture Notes in Computer Science, 2012Co-Authors: Weixiang Zhang, Wenhong LiuAbstract:To evaluate software quality objectively and accurately is an important subject. Drawing ideas from analytic hierarchy process and fuzzy comprehensive evaluation algorithm, this paper gives a Quantitative Assessment method based on hierarchic software trustworthy model. The method makes uses of knowledge discovery in database techniques to obtain the weights of all software trustworthy factors, exploits software testing results to obtain software assessing data, and accomplishes finally Quantitative Assessment through a simple data fitting techniques. Practice has proved that it can effectively reduce the subjectivity of software evaluation process and so significantly improve the accuracy of Assessment result.
Ewald R. Weibel - One of the best experts on this subject based on the ideXlab platform.
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Last Word on Viewpoint: Standards for Quantitative Assessment of lung structure
Journal of Applied Physiology, 2010Co-Authors: Wayne Mitzner, Ewald R. WeibelAbstract:to the editor: We wish to thank the commentators (see Ref. [3][1]) for bringing up a number of new perspectives that can broaden the range of applicability of the Standards for the Quantitative Assessment of Lung Structure ([1][2]). It is quite clear that these guidelines cannot definitively deal
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Standards for Quantitative Assessment of lung structure.
Journal of Applied Physiology, 2010Co-Authors: Wayne Mitzner, Ewald R. WeibelAbstract:the february 15th, 2010, issue of the American Journal of Respiratory and Critical Care Medicine contains an official research policy statement on Quantitative Assessment of lung structure ([1][1]). This document is the product of a Joint American Thoracic Society (ATS) and European Respiratory
Dou Qin - One of the best experts on this subject based on the ideXlab platform.
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Method and effects of Quantitative Assessment of head nurses
Journal of Nursing Administration, 2011Co-Authors: Dou QinAbstract:Objective To explore the mentods and effects of Quantitative Assessment of head nurses.Methods The regular Quantitative Assessment included 5 aspects of basic quality,quality of nursing,teaching and research,department management,and others.At the end of each year outstanding head nurses were assessed and appraised,and the head nurses less than 60 points were eliminated,and the positions would choose the head nurses by competition.Results After the Quantitative Assessment,compared to the Quantitative Assessment in 2009,the indicators were significantly improved in 2010,the difference statistically significant(P0.01 or P0.05).The excellent rate and the pass rate of head nurses at the year-end Assessment were significantly higher than before(P0.01).Conclusion The implementation of the regular Quantitative Assessment of head nurses mobilizes the enthusiasm of the head nurses and their sense of competition,improves the management level of head nurses and the quality of department work,and strengthenes the services awareness of nursing teams.
Bruce M. Damon - One of the best experts on this subject based on the ideXlab platform.
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Quantitative Assessment of DTI‐based muscle fiber tracking and optimal tracking parameters
Magnetic resonance in medicine, 2009Co-Authors: Anneriet M. Heemskerk, Tuhin K. Sinha, Kevin J. Wilson, Zhaohua Ding, Bruce M. DamonAbstract:Diffusion tensor imaging based fiber tracking in skeletal muscle has been used to reconstruct and quantify muscle architecture. In addition, the consistent pattern of muscle fiber geometry enables a Quantitative Assessment of the fiber tracking. This work describes a method to determine the accuracy of individual muscle fiber tracts based on the location at which the fibers terminate, the fiber path, and similarity to the neighboring fibers. In addition, the effect of different stop criteria settings on this Quantitative Assessment was investigated. Fiber tracking was performed on the tibialis anterior muscle of 9 healthy subjects. Complete fiber tracts covered 89.4 ± 9.6% and 75.0 ± 15.2% of the aponeurosis area in the superficial and deep compartments, respectively. Applications of the method include the exclusion of erroneous fiber tracking results, Quantitative Assessment of data set quality, and the Assessment of fiber tracking stop criteria.
