21 research outputs found
"Supranational" historian of a multinational space in the era of nation-building: Onikii Malinovsky
No full textReikšminiai žodžiai: Imperija; Istoriografija; Joanikijus Malinovskis; Lietuvos Didžioji Kunigaikštystė (LDK; Grand Duchy of Lithuania; GDL); Lietuvos Didžioji Kunigaikštystė (LDK; Grand Duchy of Lithuania; GDL); Malinovskis, Onikijus; Nacija; Teisės istorija; Ukraina (Ukraine); Empire; Historiography; History of law; Malinovskii Ioanikii Aleksieevich; Malinovsky, Onikii; Nation; Rusija (Russia)The article attempts to explain the causes and manifestations of the transformations of historical thinking of the researcher of the history of law of the Grand Duchy of Lithuania, Onikii Malinovsky (1868–1932). The author came to the conclusion about the gradual «migration» of a scientist from the space of «supranational» Russian imperial historiographical culture to the national Ukrainian. The reasons for such changes are seen in the integration of the scientist in the context of the scientific and social life of Soviet Ukraine during the Bolshevik Ukrainization period, the probable strengthening of his Ukrainian ethnic loyalty. National reform in Ukraine led to a national-cultural upsurge (the «Red Renaissance») and the spread of national consciousness in the intellectuals' circles. These general processes «hurt» and O. Malinovsky
An empirical evaluation of recovery transformation at a large community behavioral healthcare organization
No full textIn recent decades, the concept of “recovery” from severe mental illness (SMI) has gained increased prominence among organizations providing behavioral health services. Organizations in many states are currently developing plans to transform their mental health systems in accordance with recovery-oriented care. Even though efforts to bring the principles of recovery to mental health agencies have been well documented in the United States and abroad, there is little empirical evidence to suggest that recovery-oriented services are advantageous. The purpose of this longitudinal study was to evaluate the effectiveness of a recovery-oriented transformation carried out by a large private not-for-profit behavioral healthcare organization serving individuals with SMI. This transformation targeted the philosophy, and specific procedures involved in the provision of care to consumers within the organization. The outcome variables selected to evaluate the impact of the transformation were grouped into the following categories: 1) organizational performance indicators; 2) consumer recovery indicators; 3) staff competencies; and 4) processes that promote recovery. Six hundred and twenty seven consumers and 490 staff participated in the evaluation. The findings suggest that recovery-oriented services had a positive impact on rates of overnight hospitalization, consumers’ ability to function in the community, professional competencies of direct care employees, and working alliance between direct care providers and consumers. This indicates that comprehensive and well structured recovery-oriented behavioral healthcare may offer a cost-efficient and effective alternative to the deficit approach in mental health.Psy.DIncludes bibliographical referencesby Igor Malinovsk
Multi-Criteria-Based Optimization Model for Sustainable Mobility and Transport
No full textThis paper deals with problems of freight transport sustainability from the perspective of four key factors: greenhouse gas production, fossil fuel dependence, congestion, and accident rates. It is based on the results of the FreightVision project, in which the author participated as a researcher and member of the design team. The aim was to develop a set of 35 recommendations to serve as a tool for European Union decision-making in transport policy matters at the highest level. The developed measures were prioritized, and a list of individual recommendations was drawn up according to their potentials. Then, the set of measures was processed using multi-criteria analysis tools, and these results were compared with the original list using comparative analysis to identify differences between the two approaches. The contribution of this work is the development of a methodology for evaluating the traffic measures according to their priorities and, at the same time, the verification of the empirical results thus obtained with the results that were the output of the mathematical processing. This work fills a research gap in a similar problem area by working with specific measures systematically developed for the purposes of analysis; these results are used to formulate recommendations for the European Commission whose policy decisions should lead to an increased level of freight transport sustainability
Neural Networks as an Alternative Tool for Predicting Fossil Fuel Dependency and GHG Production in Transport
No full textThis paper deals with problems of the comparative analysis of results provided by the processing of predicting trends in freight transport, especially concerning dependency on fossil fuels and GHG (greenhouse gas) production. This topic has been in compliance with current requests for sustainable transport and the environment both being strongly emphasized in recent EU directions. Based on publicly available statistical data covering the selected time period, two completely different predicting methods—neural networks and mathematical statistics—are used for forecasting both of the above-mentioned trends. Obtained results are further analyzed from viewpoints of value concordance and reliability. The concluding comparative analysis summarizes the pros and cons of both approaches. Given the fact that forecasting methods generate model values representing future events whose states are unverifiable, the presented procedure can be used as a tool for verifying of their verisimilitude by means of comparing results obtained by the above-mentioned methods
Extreme ultraviolet emission lines of Ni XII in laboratory and solar spectra
No full textWavelengths for emission lines arising from 3s23p5-3s3p6 and 3s23p5-3s23p43d transitions in Ni XII have been measured in extreme ultraviolet spectra of the Joint European Torus(JET) tokamak. The 3s23p5 2P1/2-3s23p4(3P)3d 2D3/2 line is found to lie at 152.90 ± 0.02 A, a significant improvement over the previous experimental determination of 152.95 ± 0.5 A. This new wavelength is in good agreement with a solar identification at 152.84 ± 0.06 A, confirming the presence of this line in the solar spectrum. The Ni XII feature at 152.15 A may be a result only of the 3s23p5 2P3/2-3s23p4(3P)3d 2D5/2 transition, rather than a blend of this line with 3s23p5 2P3/2-3s23p (3P)3d 2P1/2, as previously suggested. Unidentified emission
lines at 295.32 and 317.61 A in solar flare spectra from the Skylab mission are tentatively identified as the 3s23p5 2P3/2-3s3p6 2S1/2 and 3s23p5 2P1/2-3s3p6 2S1/2 transitions in Ni XII, which have laboratory wavelengths of 295.33 and 317.50 A, respectively. Additional support for these identifications is provided by the line intensity ratio for the solar features, which shows good agreement between theory and observation
Monotonicity in the sample size of the length of classical confidence intervals
No full textIt is proved that the average length of standard confidence intervals for parameters of Gamma and normal distributions monotonically decreases with the sample size. The proofs are based on fine properties of the classical Gamma function.The authors would like to thank the referee for a careful reading of the manuscript and very helpful suggestions. The work of the second author was partially supported by a 2012 UMBC Summer Faculty Fellowship grant.https://www.sciencedirect.com/science/article/pii/S016771521200330
Best invariant and minimax estimation of quantiles in finite populations
No full textThe theoretical literature on quantile and distribution function estimation in infinite populations is very rich, and invariance plays an important role in these studies. This is not the case for the commonly occurring problem of estimation of quantiles in finite populations. The latter is more complicated and interesting because an optimal strategy consists not only of an estimator, but also of a sampling design, and the estimator may depend on the design and on the labels of sampled individuals, whereas in iid sampling, design issues and labels do not exist. We study the estimation of finite population quantiles, with emphasis on estimators that are invariant under the group of monotone transformations of the data, and suitable invariant loss functions. Invariance under the finite group of permutation of the sample is also considered. We discuss nonrandomized and randomized estimators, best invariant and minimax estimators, and sampling strategies relative to different classes. Invariant loss functions and estimators in finite population sampling have a nonparametric flavor, and various natural combinatorial questions and tools arise as a result.We thank Gil Kalai for several enlightening discussions of this work, and three reviewers for many useful comments. This research was supported in part by Grant no. 473/04 from the Israel Science Foundation. The first author also supported by the Intramural Research Program of the National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development.https://www.sciencedirect.com/science/article/pii/S037837581100073
Monitoring Threshold Functions over Distributed Data Streams with Node Dependent Constraints
No full textMonitoring data streams in a distributed system has attracted considerable interest in recent years. The task of feature selection (e.g., by monitoring the information gain of various features) requires a very high communication overhead when addressed using straightforward centralized algorithms. While most of the existing algorithms deal with monitoring simple aggregated values such as frequency of occurrence of stream items, motivated by recent contributions based on geometric ideas we present an alternative approach. The proposed approach enables monitoring values of an arbitrary threshold function over distributed data streams through stream dependent constraints applied separately on each stream. We report numerical experiments on a real-world data that detect instances where communication between nodes is required, and compare the approach and the results to those recently reported in the literature.The authors thank anonymous reviewers whose valuable comments greatly enhanced exposition of the results. The work of the first author was supported in part by 2012 UMBC Summer Faculty Fellowship grant.https://www.mdpi.com/1999-4893/5/3/37
Maximal Counts in the Stopped Occupancy Problem
No full textWe revisit a version of the classic occupancy scheme, where balls are thrown until almost all boxes receive a given number of balls. Special cases are widely known as coupon-collectors and dixie cup problems. We show that as the number of boxes tends to infinity, the distribution of the maximal occupancy count does not converge, but can be approximated by a convolution of two Gumbel distributions, with the approximating distribution having oscillations close to periodic on a logarithmic scale. We pursue two approaches: one relies on lattice point processes obtained by poissonisation of the number of balls and boxes, and the other employs interpolation of the multiset of occupancy counts to a point process on reals. This way we gain considerable insight in known asymptotics obtained previously by mostly analytic tools. Further results concern the moments of maximal occupancy counts and ties for the maximum.The second author is funded by the Knut and Alice Wallenberg Foundation and the Swedish Research Council (VR). The third author is supported in part by BSF grant 2020063.http://arxiv.org/abs/2506.2041
On the Nile problem by Sir Ronald Fisher
No full textThe Nile problem by Ronald Fisher may be interpreted as the problem of making statistical inference for a special curved exponential family when the minimal sufficient statistic is incomplete. The problem itself and its versions for general curved exponential families pose a mathematical-statistical challenge: studying the subalgebras of ancillary statistics within the σ-algebra of the (incomplete) minimal sufficient statistics and closely related questions of the structure of UMVUEs.
In this paper a new method is developed that, in particular, proves that in the classical Nile problem no statistic subject to mild natural conditions is a UMVUE. The method almost solves an old problem of the existence of UMVUEs. The method is purely statistical (vs. analytical) and works for any family possessing an ancillary statistic. It complements an analytical method that uses only the first order ancillarity (and thus works when the existence of ancillary subalgebras is an open problem) and works for curved exponential families with polynomial constraints on the canonical parameters of which the Nile problem is a special case.The work of the second author was partially supported by a 2012 UMBC Summer Faculty Fellowship grant.https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-7/issue-none/On-the-Nile-problem-by-Sir-Ronald-Fisher/10.1214/13-EJS832.ful
