Использование грейдинга в медиасфере

С помощью метода грейдинга разработана технология построения системы управления персоналом в медиасфере. Разработаны семь основных критериев для оценки должностей: навыки, образование, руководство, ответственность, вклад в результат (цена ошибки), коммуникационные навыки, вклад в обслуживание клиента. Предложена матрица грейдов и сетка окладов для организации. Показаны трудности внедрения системы грейдов

Hierarchical Bayesian auto-regressive models for large space time data with applications to ozone concentration modelling

Increasingly large volumes of space-time data are collected everywhere by mobile computing applications, and in many of these cases temporal data are obtained by registering events, for example telecommunication or web traffic data. Having both the spatial and temporal dimensions adds substantial complexity to data analysis and inference tasks. The computational complexity increases rapidly for fitting Bayesian hierarchical models, as such a task involves repeated inversion of large matrices. The primary focus of this paper is on developing space-time auto-regressive models under the hierarchical Bayesian setup. To handle large data sets, a recently developed Gaussian predictive process approximation method (Banerjee et al. [1]) is extended to include auto-regressive terms of latent space-time processes. Specifically, a space-time auto-regressive process, supported on a set of a smaller number of knot locations, is spatially interpolated to approximate the original space-time process. The resulting model is specified within a hierarchical Bayesian framework and Markov chain Monte Carlo techniques are used to make inference. The proposed model is applied for analysing the daily maximum 8-hour average ground level ozone concentration data from 1997 to 2006 from a large study region in the eastern United States. The developed methods allow accurate spatial prediction of a temporally aggregated ozone summary, known as the primary ozone standard, along with its uncertainty, at any unmonitored location during the study period. Trends in spatial patterns of many features of the posterior predictive distribution of the primary standard, such as the probability of non-compliance with respect to the standard, are obtained and illustrated

Valuation of Personal Data in the Age of Data Ownership

In order to tackle uncertainties about data ownership and data misuse, more accessible and competitive data markets are proposed, especially concerning the use and access rights of data generated by the Internet of Things (IoT) devices. Legal proposals suggest that companies and individuals become owners of their self-generated data, enabling new ways of data monetization. Still, individuals are often uncertain about the value and price of their own generated data. This research builds on construal level theory to propose influencing factors fostering an understanding of intraindividual data value. The results of a pilot study survey (n = 104), conducted during the ICIS 2022, show that data proximity and data sensitivity factors significantly influence intraindividual data value. Our research extends the knowledge on data value from individual perspectives and builds the foundation for future work on data valuation and pricing in intraindividual data trading

Sequential Quasi-Monte Carlo

We derive and study SQMC (Sequential Quasi-Monte Carlo), a class of algorithms obtained by introducing QMC point sets in particle filtering. SQMC is related to, and may be seen as an extension of, the array-RQMC algorithm of L'Ecuyer et al. (2006). The complexity of SQMC is $O(N \log N)$, where $N$ is the number of simulations at each iteration, and its error rate is smaller than the Monte Carlo rate $O_P(N^{-1/2})$. The only requirement to implement SQMC is the ability to write the simulation of particle $x_t^n$ given $x_{t-1}^n$ as a deterministic function of $x_{t-1}^n$ and a fixed number of uniform variates. We show that SQMC is amenable to the same extensions as standard SMC, such as forward smoothing, backward smoothing, unbiased likelihood evaluation, and so on. In particular, SQMC may replace SMC within a PMCMC (particle Markov chain Monte Carlo) algorithm. We establish several convergence results. We provide numerical evidence that SQMC may significantly outperform SMC in practical scenarios.Comment: 55 pages, 10 figures (final version

Conceptualizing Personal Data Pricing Through Construal Level Theory

Individuals\u27 increasing generation of digital data and evolving data ownership rights reinforce monetization opportunities in personal data markets. Understanding how personal data valuation and pricing is construed becomes essential. So far, psychological factors such as data sensitivity or proximity are under-researched. This study examines how construal level theory contributes to construing and explaining individual data value through an exploratory quantitative survey (n = 633). The results show that different construal levels influence data pricing, psychological ownership and willingness-to-disclose

Gender Differences in Russian Colour Naming

In the present study we explored Russian colour naming in a web-based psycholinguistic experiment (http://www.colournaming.com). Colour singletons representing the Munsell Color Solid (N=600 in total) were presented on a computer monitor and named using an unconstrained colour-naming method. Respondents were Russian speakers (N=713). For gender-split equal-size samples (NF=333, NM=333) we estimated and compared (i) location of centroids of 12 Russian basic colour terms (BCTs); (ii) the number of words in colour descriptors; (iii) occurrences of BCTs most frequent non-BCTs. We found a close correspondence between females’ and males’ BCT centroids. Among individual BCTs, the highest inter-gender agreement was for seryj ‘grey’ and goluboj ‘light blue’, while the lowest was for sinij ‘dark blue’ and krasnyj ‘red’. Females revealed a significantly richer repertory of distinct colour descriptors, with great variety of monolexemic non-BCTs and “fancy” colour names; in comparison, males offered relatively more BCTs or their compounds. Along with these measures, we gauged denotata of most frequent CTs, reflected by linguistic segmentation of colour space, by employing a synthetic observer trained by gender-specific responses. This psycholinguistic representation revealed females’ more refined linguistic segmentation, compared to males, with higher linguistic density predominantly along the redgreen axis of colour space

A nomenclature for restriction enzymes, DNA methyltransferases, homing endonucleases and their genes

A nomenclature is described for restriction endonucleases, DNA methyltransferases, homing endonucleases and related genes and gene products. It provides explicit categories for the many different Type II enzymes now identified and provides a system for naming the putative genes found by sequence analysis of microbial genome

Geostatistical inference under preferential sampling

Geostatistics involves the fitting of spatially continuous models to spatially discrete data (Chil`es and Delfiner, 1999). Preferential sampling arises when the process that determines the data-locations and the process being modelled are stochastically dependent. Conventional geostatistical methods assume, if only implicitly, that sampling is non-preferential. However, these methods are often used in situations where sampling is likely to be preferential. For example, in mineral exploration samples may be concentrated in areas thought likely to yield high-grade ore. We give a general expression for the likelihood function of preferentially sampled geostatistical data, and describe how this can be evaluated approximately using Monte Carlo methods. We present a model for preferential sampling, and demonstrate through simulated examples that ignoring preferential sampling can lead to misleading inferences. We describe an application of the model to a set of bio-monitoring data from Galicia, northern Spain, in which making allowance for preferential sampling materially changes the results of the analysis.This work was supported by the UK Engineering and Physical Sciences Research Council through the award of a Senior Fellowship to Peter Diggle.We thank the Ecotoxicology Group, University of Santiago de Compostela, for permission to use the Galicia data and, in particular, Jose Angel Fernandez, for helpful discussions concerning the data.We also thank Havard Rue for advice on efficient conditional simulation of spatially continuous Gaussian processes

Calcipotriene and Betamethasone Dipropionate PAD-Cream Demonstrates Greater Treatment Efficacy in Patients with Moderate-to-Severe Psoriasis Compared to Topical Suspension/Gel: A Subgroup Analysis of Two Phase 3 Studies

INTRODUCTION: Psoriasis ranges from mild to severe with the majority of patients having mild disease. Mild to moderate disease is often treated with topical therapies while photo-, oral, and biologic therapies are generally reserved for moderate-to-severe disease. There is a strong scientific rationale for the combination of calcipotriene (CAL) and betamethasone dipropionate (BDP) with respect to mode of action, efficacy, and safety and CAL/BDP has shown an inhibitory effect on key pathogenic cytokines in psoriasis including tumor necrosis factor-α, interleukin (IL)-17, and IL-23. METHODS: The objective of this pooled post hoc analysis is to investigate the efficacy of CAL/BDP polyaphron dispersion (PAD)-cream in subgroups of patients with moderate-to-severe psoriasis from two completed phase 3 studies conducted in the USA and Europe. RESULTS: The proportion of patients achieving Physician Global Assessment (PGA) treatment success as well as a modified Psoriasis Area and Severity Index (mPASI)75 response was higher in the subgroup with a body surface area \u3e 10% and mPASI \u3e 10 and Dermatology Life Quality Index \u3e 10 at baseline compared to the overall patient population. Furthermore, the numerical difference in treatment efficacy between CAL/BDP PAD-cream and CAL/BDP topical suspension/gel increased in patient subgroups with higher baseline severity. Similar patterns were shown for the patient-reported outcomes. CONCLUSION: In this subgroup analysis, patients who had higher disease severity at baseline achieved greater efficacy than the total patient population when treated with 8 weeks of CAL/BDP PAD-cream as compared to a currently marketed active comparator. Additionally, as indicated by this analysis, CAL/BDP PAD-cream treatment may also be more convenient and less greasy, which may reduce the burden of daily treatment and improve adherence to therapy. TRIAL REGISTRATION: NCT03308799 and NCT03802344

A nomenclature for restriction enzymes, DNA methyltransferases, homing endonucleases and their genes

A nomenclature is described for restriction endonucleases, DNA methyltransferases, homing endonucleases and related genes and gene products. It provides explicit categories for the many different Type II enzymes now identified and provides a system for naming the putative genes found by sequence analysis of microbial genomes