Statistical Assessment of the Influence from Uncertainties in Acoustical Data for UAM Vehicles on Noise Metrics

2021 ◽  
Author(s):  
Michael Bauer
Keyword(s):  
Statistical Assessment ◽  
Acoustical Data ◽  
Noise Metrics

Assessing Language Acquisition and Intercultural Sensitivity Development in Relation to Study Abroad Program Design

2004 ◽  
Vol 10 (1) ◽  
pp. 219-236 ◽  
Author(s):  
Lilli Engle ◽  
John Engle
Keyword(s):  
Language Acquisition ◽  
Study Abroad ◽  
International Education ◽  
Program Design ◽  
Intercultural Sensitivity ◽  
Outcomes Assessment ◽  
Statistical Assessment ◽  
Preliminary Examination ◽  
Study Abroad Program

The complexity of international education is such that it is far from easy to move towards significant, objectively measurable, and comparable outcomes. What follows is the preliminary examination of one attempt to generate and interpret meaningful statistical assessment of the study abroad experience, within the context of specifically defined study abroad program types. We will examine the data thus far generated, suggest its limitations, and appeal for a continued gathering of information. We will suggest a structured, coordinated, profession-wide assessment effort that will, we hope, gradually reveal a useful correlation between study abroad learning and the input of program variables such as duration, housing, experiential work and on-site mentoring. If, as a profession, study abroad is to invest in outcomes assessment, it would be sensible for such efforts to utilize profession-wide definitions and standards.

scholarly journals Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge

2021 ◽  
Author(s):  
Teresa Danielle Bergazin ◽  
Nicolas Tielker ◽  
Yingying Zhang ◽  
Junjun Mao ◽  
M. R. Gunner ◽  
...  
Keyword(s):  
Free Energy ◽  
Partition Coefficients ◽  
Physical Property ◽  
Rational Drug Design ◽  
Log P ◽  
Prediction Methods ◽  
Research Groups ◽  
Reasonable Accuracy ◽  
Statistical Assessment ◽  
Rational Drug

AbstractThe Statistical Assessment of Modeling of Proteins and Ligands (SAMPL) challenges focuses the computational modeling community on areas in need of improvement for rational drug design. The SAMPL7 physical property challenge dealt with prediction of octanol-water partition coefficients and pKa for 22 compounds. The dataset was composed of a series of N-acylsulfonamides and related bioisosteres. 17 research groups participated in the log P challenge, submitting 33 blind submissions total. For the pKa challenge, 7 different groups participated, submitting 9 blind submissions in total. Overall, the accuracy of octanol-water log P predictions in the SAMPL7 challenge was lower than octanol-water log P predictions in SAMPL6, likely due to a more diverse dataset. Compared to the SAMPL6 pKa challenge, accuracy remains unchanged in SAMPL7. Interestingly, here, though macroscopic pKa values were often predicted with reasonable accuracy, there was dramatically more disagreement among participants as to which microscopic transitions produced these values (with methods often disagreeing even as to the sign of the free energy change associated with certain transitions), indicating far more work needs to be done on pKa prediction methods.

scholarly journals Statistical Assessment of Discrimination Capabilities of a Fractional Calculus Based Image Watermarking System for Gaussian Watermarks

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 255
Author(s):  
Mario Gonzalez-Lee ◽  
Hector Vazquez-Leal ◽  
Luis J. Morales-Mendoza ◽  
Mariko Nakano-Miyatake ◽  
Hector Perez-Meana ◽  
...  
Keyword(s):  
Fractional Calculus ◽  
Roc Curve ◽  
Gaussian Noise ◽  
False Positive ◽  
Operating Characteristic ◽  
Image Watermarking ◽  
Area Under The Curve ◽  
Statistical Assessment ◽  
Watermarking Scheme ◽  
Fractional Equation

In this paper, we explore the advantages of a fractional calculus based watermarking system for detecting Gaussian watermarks. To reach this goal, we selected a typical watermarking scheme and replaced the detection equation set by another set of equations derived from fractional calculus principles; then, we carried out a statistical assessment of the performance of both schemes by analyzing the Receiver Operating Characteristic (ROC) curve and the False Positive Percentage (FPP) when they are used to detect Gaussian watermarks. The results show that the ROC of a fractional equation based scheme has 48.3% more Area Under the Curve (AUC) and a False Positives Percentage median of 0.2% whilst the selected typical watermarking scheme has 3%. In addition, the experimental results suggest that the target applications of fractional schemes for detecting Gaussian watermarks are as a semi-fragile image watermarking systems robust to Gaussian noise.

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