新媒体艺术的审美新奇--感官的延伸亦或损毁的共通感?

具有历史意义的技术革新不仅决定着现实世界中人与人之间的社会经济、政治关系,同时决定着人类感觉器官和人类自身本体性的改变。正如马克思指出的,技术形象地阐释了人与自然之间的相互作用,同时改变了人类在具体化时被历史性建构和发展的方式。麦克卢汉认为,由技术扩张带来的感官延伸会在所有的感官中产生新的感官比例。他还强调,多感官、多能力的延伸同属于一个经验范畴,因而必须协同一致。针对所谓的新媒体艺术的议题,笔者的目标是在当下后福特主义的情境中检测“解放性的新事物”。如果说,(新)媒体的影响力只能在能够改变人与人之间个体相互作用的方式中进行检验,联系麦克卢汉的相关理论,那么,不用考虑任何新“技术”,艺术解放力即被看作是消解共通感的变革力量。      

Goodness-of-fit tests for Pareto distribution based on a characterization and their asymptotics

In this paper we present a new characterization of the Pareto distribution and consider goodness-of-fit tests based on it. We provide an integral and Kolmogorov–Smirnov-type statistics based on U-statistics and we calculate Bahadur efficiency for various alternatives. We find locally optimal alternatives for those tests. For small sample sizes, we compare the power of those tests with some common goodness-of-fit tests.     

The Volunteer Satisfaction Index: A Validation Study in the Cultural Context of the Two European Titles—Youth 2019 and Culture 2021, Novi Sad,Serbia

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Conducting a study on a sample of 303 participants from the Novi Sad Voluntary Service we set out to validate the...     

Comparison of efficiencies of some symmetry tests around an unknown centre

In this paper, some recent and classical tests of symmetry are modified for the case of an unknown centre. The unknown centre is estimated with its α-trimmed mean estimator. The asymptotic behaviour of the new tests is explored. The local approximate Bahadur efficiency is used to compare the tests to each other as well as to some other tests.     

Two-dimensional Kolmogorov-type goodness-of-fit tests based on characterisations and their asymptotic efficiencies

In this paper, new two-dimensional goodness-of-fit tests are proposed. They are of supremum type and are based on two different types of characterisations. The first type are those that involve functional equations that the distribution function satisfies, while the second type uses independence of some statistics. The asymptotics of the statistics is studied and Bahadur efficiencies of the tests against some close alternatives are calculated. In the process, a theorem on large deviations of Kolmogorov-type statistics has been extended to the multidimensional case.     

Urban flora in the Southeast Europe and its correlation with urbanization

Many studies have refuted the opinion that urban floras are poor in total species number and characterized primarily by neophytes. Also, it has been proved that urban flora differs from its surroundings, and at the same time reflects its richness. Our study focused on urban flora, structure and similarities, and the possible correlation with the urban attributes. Therefore, we selected 11 cities in Southeast Europe, which differ in the development of transportation networks (roads, rails and inland waterways) and population size. Next, we compared two sets of data (structure of urban flora and urban attributes) to define the correlation patterns. Analyzed urban floras were primarily distinguished by a total number of species, number of unique species and neophytes. Belgrade is a city with the highest urbanization level, the most species and the highest number of unique species and neophytes as well. Kosovska Mitrovica, Grocka and Po?arevac stand out by floristic richness. These cities have a high number of species, yet a small proportion of neophytes. Other cities are characterized by similar floristic structure, with a relatively similar proportion of neophytes and approximately similar number of unique species in relation to the total number. It can be concluded that other factors beside the chosen urban attributes have additional effects on floristic structure, except for the factor - the presence of neophytes. This is in accordance with predefining subjects, since urban attributes were chosen based on knowledge about important corridors for invasive species.     

Detecting and removing outlier(s) in electromyographic gait-related patterns

In this paper, we propose a method for outlier detection and removal in electromyographic gait-related patterns (EMG-GRPs). The goal was to detect and remove EMG-GRPs that reduce the quality of gait data while preserving natural biological variations in EMG-GRPs. The proposed procedure consists of general statistical tests and is simple to use. The Friedman test with multiple comparisons was used to find particular EMG-GRPs that are extremely different from others. Next, outlying observations were calculated for each suspected stride waveform by applying the generalized extreme studentized deviate test. To complete the analysis, we applied different outlier criteria. The results suggest that an EMG-GRP is an outlier if it differs from at least 50% of the other stride waveforms and contains at least 20% of the outlying observations. The EMG signal remains a realistic representation of muscle activity and demonstrates step-by-step variability once the outliers, as defined here, are removed.