An information theoretical algorithm for analyzing supersaturated designs for a binary response

Despite the vast amount of literature on supersaturated designs (SSDs), there is a scant record of their use in practice. We contend this imbalance is due to conflicting recommendations regarding SSD use in the literature as well as the designs’ inabilities to meet practitioners’ analysis expectations. To address these issues, we first summarize practitioner concerns and expectations of SSDs as determined via an informal questionnaire. Next, we discuss and compare two recent SSDs that pair a design construction method with a particular analysis method. The choice of a design/analysis pairing is shown to depend on the screening objective. Group orthogonal SSDs, when paired with our new, modified analysis, are demonstrated to have high power even with many active factors. Constrained positive Var(s)-optimal designs, when paired with the Dantzig selector, are recommended when effect directions can be credibly specified in advance; this strategy reasonably controls Type I error rates while still identifying a high proportion of active factors.

A Bayesian criterion for selecting super saturated screening designs

Based on the data from the Chinese financial market, this paper focuses on analyzing three types of network entropies of the financial market, namely, Shannon, Renyi and Tsallis entropies. The findings suggest that Shannon entropy can reflect the volatility of the financial market, that Renyi and Tsallis entropies also have this function when their parameter has a positive value, and that Renyi and Tsallis entropies can reflect the extreme case of the financial market when their parameter has a negative value.

This book on experimental design is somewhat similar in flavor to the classic book by G.E

pulmonary crackle sound is produced by an abnormality in the respiratory tract. Pulmonary crackle sound is one of lung sound that is discontinuous, short duration and appears on the inspiratory phase, expiratory phase or both. Various methods are used by researchers to detect crackle sound automatically, for example using entropy measurement. Tsallis entropy is a measure of the entropy that has nonextensivity property. Tsallis entropy is often used to measure rapidly changing signals. Crackle sound has both of properties, so hopefully, Tsallis entropy can be utilized as feature extraction techniques for pulmonary crackle sound. The test results showed the use of Tsallis entropy with nonextensivity order of q = 2, 3, and 4 produce the highest accuracy. Using MLP and 3fold crossvalidation, an accuracy of 95.35%, Sensitivity of 90.48%, and 100% Specificity are achieved. The advantage of this method is the fewer number of features produced and simple computation. Tests using data classes and the number of larger data required in future studies.

Discrimination and classification of focal and non-focal EEG signals using entropy-based features in the EMD-DWT domain

Supplementary difference sets can be used to construct a variety of combinatorial designs. In this work, we construct supplementary difference sets that provide E(s 2)-optimal, two-level supersaturated designs with the equal occurrence property. Comparisons are made with previous works and it is shown that the proposed method gives promising results for the construction of supersaturated designs with good properties.

Detection of small objects in sidescan sonar images based on POHMT and Tsallis entropy

Minimum projection uniformity criterion and its application

EPR steering is an asymmetric quantum correlation, as such, it is an important resource for quantum information protocols, like those used in quantum key distribution that are of tremendous relevance nowadays. The security of the aforementioned protocols can be shown by using entropic uncertainty measures, which are based on quantum information quantities, among which the entropies are found. In this work, we propose an entropic measure of steering, starting from the detection of steering given in a previous entropic uncertainty relation-based criterion, as well as using a generalised entropy, the Tsallis entropies. We define the entropic measure of steering in terms of an indicator, a quantity depending on the entropies of the measurements of the system, which assigns a value to the steering content of quantum states, while also comprising the asymmetry property of steering. We investigate the properties of the proposed quantity as a measure of steering and its asymmetry and show how it can be used for specific examples. For instance, a class of noisy two-qubit states that includes the Werner states is used to demonstrate the potential of such a proposal. Furthermore, a comparison is also made with the detection of steering in these states using existing steering criteria and the amount of steering a geometric measure for the Werner state gives.

Understanding human disturbance regimes is crucial for developing effective conservation and ecosystem management plans and for targeting ecological research to areas that define scarce ecosystem services. We evaluate and develop a forecasting model for land-use change in the Southern Appalachians. We extend previous efforts by (a) addressing the spatial diffusion of human populations, approximated by building density, (b) examining a long time period (40 years, which is epochal in economic terms), and (c) explicitly testing the forecasting power of the models. The resulting model, defined by linking a negative binomial regression model of building density with a logit model of land cover, was fit using spatially referenced data from four study sites in the Southern Appalachians. All fitted equations were significant, and coefficient estimates indicated that topographic features as well as location significantly shape population diffusion and land use across these landscapes. This is especially evident in the study sites that have experienced development pressure over the last 40 years. Model estimates also indicate significant spatial autocorrelation in land-use observations. Forecast performance of the models was evaluated by using a separate validation data set for each study area. Depending on the land-use classification scheme, the models correctly predicted between 68% and 89% of observed land uses. Tests based on information theory reject the hypothesis that the models have no explanatory power, and measures of entropy and information gain indicate that the estimated models explain between 47% and 66% of uncertainty regarding land-use classification. Overall, these results indicate that modeling land-cover change alone may not be useful over the long run, because changing land cover reflects the outcomes of more than one human process (for example, agricultural decline and population growth). Here, additional information was gained by addressing the spatial spread of human populations. Furthermore, coarse-scale measures of the human drivers of landscape change (for example, population growth measured at the county level) appear to be poor predictors of changes realized at finer scales. Simulations demonstrate how this type of approach might be used to target scarce resources for conservation and research efforts into ecosystem effects.

ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Frankowska A, Dudek D, Siwek M. ΔFosB protein and its role in the nucleus accumbens – an important factor in addiction, stress and response to natural rewards and psychoactive drugs. Neuropsychiatria i Neuropsychologia/Neuropsychiatry and Neuropsychology. 2016;11(2):56-63. doi:10.5114/nan.2016.62250. APA Frankowska, A., Dudek, D., & Siwek, M. (2016). ΔFosB protein and its role in the nucleus accumbens – an important factor in addiction, stress and response to natural rewards and psychoactive drugs. Neuropsychiatria i Neuropsychologia/Neuropsychiatry and Neuropsychology, 11(2), 56-63. https://doi.org/10.5114/nan.2016.62250 Chicago Frankowska, Ada, Dominika Dudek, and Marcin Siwek. 2016. "ΔFosB protein and its role in the nucleus accumbens – an important factor in addiction, stress and response to natural rewards and psychoactive drugs". Neuropsychiatria i Neuropsychologia/Neuropsychiatry and Neuropsychology 11 (2): 56-63. doi:10.5114/nan.2016.62250. Harvard Frankowska, A., Dudek, D., and Siwek, M. (2016). ΔFosB protein and its role in the nucleus accumbens – an important factor in addiction, stress and response to natural rewards and psychoactive drugs. Neuropsychiatria i Neuropsychologia/Neuropsychiatry and Neuropsychology, 11(2), pp.56-63. https://doi.org/10.5114/nan.2016.62250 MLA Frankowska, Ada et al. "ΔFosB protein and its role in the nucleus accumbens – an important factor in addiction, stress and response to natural rewards and psychoactive drugs." Neuropsychiatria i Neuropsychologia/Neuropsychiatry and Neuropsychology, vol. 11, no. 2, 2016, pp. 56-63. doi:10.5114/nan.2016.62250. Vancouver Frankowska A, Dudek D, Siwek M. ΔFosB protein and its role in the nucleus accumbens – an important factor in addiction, stress and response to natural rewards and psychoactive drugs. Neuropsychiatria i Neuropsychologia/Neuropsychiatry and Neuropsychology. 2016;11(2):56-63. doi:10.5114/nan.2016.62250.

How to timely and precisely identify attack behaviors in network without dealing with a large number of traffic features and historical data, such as training data, is an important research work in the field of network security. In this paper, firstly, the differences between Renyi entropy and Shannon entropy are analyzed and compared. In order to capture network traffic changes exactly, Renyi entropy instead of Shannon entropy is proposed to measure selected traffic features. Then EWMA control chart theory is used to check Renyi entropy time series for detecting and screening anomalies. And three kinds of network attacks are also analyzed and characterized by behavior feature vector for attack identification. Finally a feature similarity-based method is used to identify attacks. The experimental results of real traffic traces show that the proposed method has good capability to detect and identify these attacks with less computation cost. To evaluate attack identification method conveniently, an approach is proposed to generate simulated attack traffics. Compared with Shannon entropy-based method, the experiments on simulation traffics show that Renyi entropy-based method has much higher overall accuracy, average precision and average true positive rate. Further comparison indicates the proposed method has more powerful performance to detect attacks than PCA-based method.

We studied a new model function named a fuyi distribution. The developed distribution is obtained by using an Fuyi distribution. This distribution is a specific type of basic distribution. The area-biased distribution is compared to the original distribution. Some statistical properties of this distribution such as moments and moment-generating functions, reliability analysis, maximum likelihood function, order statistics, Renyi entropy, Tsallis entropy, Bonferroni, and Lorenz curves are derived with the partial ordering of probability distribution. a fitting of an application to a real-life blood cancer data set reveals a good fit.

Sudden cardiac death (SCD) prediction based on nonlinear heart rate variability features and SCD index