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Sensitivity to Measurement Errors in Studies on Prosocial Choice using a Two-Choice Paradigm

Abstract

Research on prosocial behaviors in primates often relies on the two-choice paradigm. Motoric lateralization is a surprisingly big problem in this field of research research, as it may influence which lever will ultimately be chosen by the actor. The results of lateralization studies on primates do not form a clear picture of that phenomenon, which makes it difficult to address the problem during research. The authors discuss possible ways of managing this confounding variable.

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The Evaluation of Skeletal Age Based on Computer-Supported Methods in Comparison to the Atlas Method

Abstract

This article describes methods used in estimating skeletal age based both on the evaluation of skeletal maturation of the palm and the wrist (Greulich and Pyle’s atlas method) and the Cervical Vertebral Maturation method (CVM). The method of evaluating the skeletal age based on the measurement of cervical vertebrae with equations introduced by A. Machorowska-Pieniążek is also mentioned. The article shows results obtained by computer analysis of the age of cervical vertebrae compared to the results gained from the implemented equations provided by A. Machorowska-Pieniążek and the results obtained from the atlas method.

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Initial Study on Cancer-Related Cognitive Dysfunction With the Implementation of QEEG

Abstract

Chemotherapy is one of the most common treatments used in cancer therapy despite its serious side effects, which remain a huge concern. To the most common side effects (apart from weight and hair loss) include memory and concentration problems as well as changes in taste. This paper presents a very preliminary study (with only one elderly female subject participating) focusing on cognitive dysfunction after chemotherapy in breast cancer. This phenomenon, called Cancer-Related Cognitive Dysfunction (CRCD), is a frequent occurrence. The obtained results prove the impact of chemotherapy on the participant’s ability to concentrate. The QEEG method and digital data analysis were used as the measurement methods.

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Application of Thermal Imaging and PWC170 Test for the Evaluation of the Effects of a 30-Week Step Aerobics Training

Abstract

The aim of this paper is to verify whether step aerobics training (SAT) has an impact on the temperature of deep muscles of the spine of young, healthy subjects and if there exists a relationship between the maximal oxygen uptake (VO2max) and thermal results. The study was conducted in a group of 21 subjects of both sexes, aged 20.2 ± 0.38. The step aerobics training sessions lasted 30 weeks, one training session per week, 60 minutes per session. Thermograms of the spine were taken with the use of an infrared thermographic camera. Instrumental measurements included BMI, vital capacity of the lungs, and maximal oxygen uptake (VO2max). After a 30-weeklong SAT, a statistically significant increase in the average temperature of the muscles of the thoracic and lumbar spine was observed in subjects of both sexes (1.2◦C and 1.28◦C, respectively, p < 0.05). At the same time, VO2max increased from 42.98 ml/kg/min to 43.6 ml/kg/min in male subjects and from 40.4 ml/kg/min to 41.1 ml/kg/min in female subjects (p > 0.05). The relationship between VO2max and temperature of the muscles of the thoracic and lumbar spine after the 30th SAT was not statistically significant (r = - 0.28; p = 0.226; r = - 0.11; p = 0.634, respectively). The study showed that a 30-weeklong step aerobics training (SAT) had a positive impact on thermoregulation of apparently healthy male and female subjects aged 20. Furthermore, it can be safely assumed that thermography may be used as a non-invasive method of examination of the thermoregulation mechanism of SAT participants.

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Application of Normalized Compression Distance and Lempel-Ziv Jaccard Distance in Micro-electrode Signal Stream Classification for the Surgical Treatment of Parkinson’s Disease

Abstract

Parkinson’s Disease can be treated with the use of microelectrode recording and stimulation. This paper presents a data stream classifier that analyses raw data from micro-electrodes and decides whether the measurements were taken from the subthalamic nucleus (STN) or not. The novelty of the proposed approach is based on the fact that distances based on raw data are used. Two distances are investigated in this paper, i.e. Normalized Compression Distance (NCD) and Lempel-Ziv Jaccard Distance (LZJD). No new features needed to be extracted due to the fact that in the case of high-dimensional data the process is extremely time-consuming. The k-nearest neighbour (k-NN) was chosen as the classifier due to its simplicity, which is essential in data stream classification. Results obtained from classifiers based on k-NN: k-NN, k-NN were compared with Probabilistic Approximate Window (k-NN with PAW); k-NN with Probabilistic Approximate Window and Adaptive Windowing (k-NN with PAW and ADWIN); and Self Adjusting Memory k-NN (SAM k-NN), which use the proposed distances, with the performance of the same classifiers but using standard Euclidean distance. Prequential accuracy was chosen as the performance measure. The results of the experiments performed with the described approach are in most cases better, i.e. the performance measures for kNN classifiers that use NCD and LZJD distances are better by up to 8.5 per cent and 14 per cent, respectively. Moreover, the proposed approach performs better when compared with other stream classification algorithms, i.e. Hoeffding Tree, Naive Bayes, and Leveraging Bagging. In the discussed case, an improvement of classification rate of up to 17.9 per cent when using Lempel-Ziv Jaccard Distance instead of the Euclidean was noted.

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Using the Center for Epidemiologic Studies Depression Scale (CES-D) to Classify Participants of a Questionnaire Survey with Regard to Their Individual Inclination to Respond at Random

Problems. Machine Learning, 45(2), 171-186. Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristics (ROC) curve. Radiology, 143, 29-36. Hanley, J. A., & McNeil, B. J. (1983). A method of comparing the areas under receiver operating characteristics curves derived from the same cases. Radio- logy, 148, 839-843. Hann, D., Winter, K., & Jacobsen, P. (1999). Measurement of depressive symptoms in cancer patients: Evaluation of the Center for Epidemiological Studies

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The Multi-Criteria Negotiation Analysis Based on the Membership Function

References Bellman, R.E., Zadeh, L.A. (1970). Decision making in a fuzzy environment. Management. Science . 17, 141–164. Bilgiç, T., Turksen, I.B. (2000). Measurement of membership functions: Theoretical and empirical work, In. Fundamentals of Fuzzy Sets. The Handbooks of Fuzzy Sets Series 7, 195–227. Brzostowski, J., Roszkowska, E., Wachowicz, T. (2012). Using Multiplie Criteria Decision Making Methods in Negotiation Support. Optimum. Studia Ekonomiczne , 5(59), 3–29. Chameau, J.L, Santamarina, J.C. (1987). Measurement Membership Functions

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Poincaré Plots in Analysis of Selected Biomedical Signals

its asymmetry in healthy adults. Physiological Measurement, 28, 287-300. DOI: 10.1088/0967-3334/28/3/005. Tulppo, M. P., Makikallio, T. H., Takala, T. E. S., & Seppanen, T. V. H. H. (1996). Quantitative beat-to-beat analysis of heart rate dynamics during exercise. American Journal of Physiology, 271, H244-H252. Woo, M. A., Stevenson, W. G., Moser, D. K., Trelease R. B., & Harper, R. M. (1992). Patterns of beat-to-beat heart rate variability in advanced heart failure. American Heart Journal, 123(3), 704-710.

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Towards a Model of Argument Strength for Bipolar Argumentation Graphs

). Conditional Reasoning with Subjective Logic. Journal of Multiple-Valued Logic and Soft Computing, Vol. 15, No. 1, pages 5-38. Jin, R. (2011). The structure of pro and con arguments: A survey of the theories. In Blair, A., editor, Conductive Argument, pages 10-30. College Publications. Keeney, R. L. and Raiffa, H. (1976). Decisions with Multiple Objectives: Preferences and Value Tradeoffs. John Wiley & Sons, New York. Krantz, D. H., Luce, R. D., Suppes, P., and Tversky (1971, 1989, 1990). Foundations of Measurement, Volumes I

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Multiresolution Analysis of EEG Signals

REFERENCES Ali, Z., Elamvazuthi, I., Alsulaiman, M., & Muhammad, G. (2016). Detection of Voice Pathology using Fractal Dimension in a Multiresolution Analysis of Normal and Disordered Speech Signals. Journal of Medical Systems , 40(1), 1–10. Banerjee, S., Gupta, R., & Mitra, M. (2012). Delineation of ECG characteristic features using multiresolution wavelet analysis method. Measurement , 45(3), 474–487. Gandhi, T., Panigrahi, B. K., & Anand, S. (2011). A comparative study of wavelet families for EEG signal classification. Neurocomputing , 74

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