Analysis Of Such Situations Research Articles

Emotionalization of mass discourse as compensation for the crisis of reference

This article comprehensively explores and analyzes the main reasons for the emergence of a clearly emerging imbalance between the emotional and rational components of the communicative space of modern mass discourse, as well as the imitation role of the emotions of a participant in modern discursive practices, which, in essence, are designed to compensate for his lack of opportunities, methods and channels to summarize the information received. Particular attention is paid to the analysis of such situations of manipulation of emotions at the individual or mass level within the framework of modern mass discourse, which are on the verge of complying with the law, or even go beyond this line. In conclusion, the interrelated phenomena of insincere discourse and the crisis of reference are considered, the correlation between which is assessed as one of the most significant and weighty confirmations of the prevalence and frequency of the use of processes of forced emotionalization of a number of discursive practices. In the vast majority of discursive practices, the emotions of the object of information today play the role of masks, screens, curtains, decorations, against which there is an imitation of a reference that is actually absent. In modern mass discourse, all information without notes is rarely conveyed to the audience, while facts are replaced by interpretations or turn out to be staged events. The main reason for the emotionalization of mass discourse is allegedly following the ideas, expectations and emotions of the mass audience – information is presented in such a way that everyone sees, hears, reads what they themselves would like to see, hear, read. The crisis of reference within mass discourse has an artificial and deliberately provoked character. The crisis of reference imposed on society by the main moderators of mass discourse deforms the semantic, syntactic and pragmatic norms of natural language, which makes it possible to manipulate both the meanings of words and syntaxes themselves, and their mass perception.

Noise and acoustics in complicated rooms with the sound particle method

The analysis of noise and acoustics in indoor spaces is often performed with geometrical methods from the ray-tracing family, such as the sound particle method. In general, these offer an acceptable balance between physical accuracy and computational effort, but models with large numbers of objects and high levels of detail can lead to long waits for results. In this paper, we consider methods to assist with the efficient analysis of such situations in the context of the sound particle diffraction model. A modern open-plan office and a large cathedral are used as example projects. We look at space partitioning strategies, adaptive placement of receivers in the form of mesh noise maps, and graphics-card-style hardware acceleration techniques, along with iterative modelling methods. The role of geometrical detail in the context of uncertainties in the input data, such as absorption and scattering coefficients, is also studied. From this, we offer a range of recommendations regarding the level-of-detail in acoustic modelling, including consideration of issues such as seating, tables, and curved surfaces.

Применение стека технологий ELK для сбора и анализа системных журналов событий

Modern scientific research in many areas often requires the use of powerful computing systems and complex software systems to effectively solve research problems. Many scientific organizations build their own computing systems, an example of which is the cloud infrastructure of the Joint Institute for Nuclear Research. During the operation of such large computing systems, emergency situations and failures inevitably arise, the resolution of which is primarily based on the analysis of system event logs. As infrastructure grows in scale and complexity, event log analysis becomes a more complex process that requires additional tools to be used for its effective implementation in large-scale infrastructures. In this paper we share our experience in organizing and implementing a system for centralized collection and analysis of system event logs of the JINR cloud infrastructure. We chose the Elasticsearch, Logstash, Kibana (ELK) technology stack as the basis for the developed system, which is widely used to solve similar problems in many other large scientific computing infrastructures and has proven to be suitable both for solving problems of collecting and analyzing event logs of various systems, as well as a number of other problems in semi-structured and unstructured data analysis. On the example of the mechanism for ensuring the fault tolerance of the control nodes of the JINR cloud infrastructure we show that configurations of modern systems can have dynamic nature, complicating examination of system event logs, and how the developed system can be used to simplify their analysis in such situations.

Математична модель одноканальної системи масового обслуговування з двоетапним надходженням вимоги

Any queuing system typically includes the following main components: the input stream of requests, the service device, the service queue and the output stream. To analyze the queuing system, we believe that the time of receipt of applications and time of service are random variables, the laws of distribution of which are determined by statistics accumulated in the analysis of such situations. And, of course, this problem is solved by the methods of probability theory, which are used in the theory of queuing. A mathematical model describing the functioning of the queuing system is built and analyzed. The most attractive random processes which describe the functioning of queuing systems are Markov processes. Mathematical model of a one-channel queueing system, for which the time of remand accession consists of two stages, has been presented in this article. We have built a queueing model with a two-step input flow, namely, we have found the basic probabilistic characteristics of the input flow. Particularly, the main probability characteristics of input flow and distribution of probability of number of remands, which comes during t time were found. To find the stationary distribution of the embedded Markov chain, we used the graphoanalytic method. The initial data for the article is the simplest classical queuing system model, complicated by the following: the input flow consists of two stages — the time of preparation of the remand and the time of its transportation. Such models are more approximate to the needs of the practice and allow the opportunity to consider greater number of factors influencing the service process.

Analysis of approaches to mass-transfer modeling n non-stationary mode

A significant number of natural and physical processes are described by differential equations in partial derivatives or systems of differential equations in partial derivatives. Numerical methods have been found to find their solutions. Partial derivatives systems are solved mainly by reducing the order of the system of equations or reducing it to one differential equation. This procedure leads to an increase in the order of the differential equation. There are various restrictions and errors that can lead to additional solutions, boundary conditions for intermediate derivatives, and so on. The work is devoted to the analysis of such situations and ways of exit.

A Joining Procedure and Synchronization for TSCH-RPL Wireless Sensor Networks.

Wireless Sensor Networks have become a key enabler for Industrial Internet of Things (IoT) applications; however, to adapt to the derived robust communication requirements, deterministic and scheduled medium access should be used, along with other features, such as channel hopping and frequency diversity. Implementing these mechanisms requires a correct synchronization of all devices in the network, a stage in deployment that can lead to non-operational networks. The present article presents an analysis of such situations and possible solutions, including the common current approaches and recommendations, and proposes a new beacon advertising method based on a specific Trickle Timer for the Medium Access Control (MAC) Time-Slotted Channel Hopping (TSCH) layer, decoupling from the timers in the network and routing layers. With this solution, improvements in connection success, time to join, and energy consumption can be obtained for the widely extended IEEE802.15.4e standard.

Contemporary imaging methods for the follow-up after endovascular abdominal aneurysm repair: a review.

Abdominal aortic aneurysm (AAA) is defined as a localized enlargement of the aortic cross-section where the diameter is greater than 3 cm or more than 50% larger than the diameter in a normal segment. The most important complication of AAA is rupture, which, if untreated, results in mortality rates of up to 90%. Conventional open surgical repair is associated with significant 30-day mortality. Endovascular aneurysm repair (EVAR) is a significantly less invasive procedure; it is related to a lower early mortality rate and a lower number of perioperative complications. Although EVAR is a minimally invasive technique, lifelong follow-up imaging is necessary due to possible late complications including endoleak, recurrent aneurysm formation, graft infection, migration, kinking and thrombosis. The total rate of complications after EVAR is estimated at approximately 30%, and the rate of complications that require intervention is 2–3%. Early detection and progression analysis of such situations is crucial for proper intervention.

Smartphone-based mobile digital PCR device for DNA quantitative analysis with high accuracy

Digital polymerase chain reaction (dPCR) circumventing the external calibration and potentially providing absolute quantification of nucleic acids has become an increasingly popular manifestation of PCR in biological researches. However, currently reported or commercial dPCR devices are not suitable for applications in laboratories or zones with limited infrastructures, due to low function integration, cost-inefficiency, or weak mobility. Herein, in order to enable accurate DNA quantitative analysis in such situations, we have developed a smartphone-based mobile dPCR device integrated with thermal cycling control, on-chip dPCR, data acquisition, and result analysis. All the function units are automatically controlled using a customized Android software. The device is approximately 90 mm × 90 mm × 100 mm in size and about 500 g in weight, only costing about 320 dollars except the smartphone. Coupled with the self-priming dPCR chip previously developed by our lab, the device is able to accurately quantify down to 10 copies of the human 18 S ribosomal DNA fragment inserted in a plasmid. Comparing to the commercial QuantStudio™ 3D dPCR platform, our device achieves a comparable analytical accuracy. Besides, our device is capable of detecting single molecule of cancer biomarker gene CD147 in a low number of HepG2 cells. Therefore, our dPCR device as a low-cost, potable, and robust tool for highly accurate DNA quantitative analysis has a great potential in Point-of-care (POC) applications.

Statistical inference of empirical constituents in partitioned analysis from integral-effect experiments

PurposePartitioned analysis is an increasingly popular approach for modeling complex systems with behaviors governed by multiple, interdependent physical phenomena. Yielding accurate representations of reality from partitioned models depends on the availability of all necessary constituent models representing relevant physical phenomena. However, there are many engineering problems where one or more of the constituents may be unavailable because of lack of knowledge regarding the underlying principles governing the behavior or the inability to experimentally observe the constituent behavior in an isolated manner through separate-effect experiments. This study aims to enable partitioned analysis in such situations with an incomplete representation of the full system by inferring the behavior of the missing constituent.Design/methodology/approachThis paper presents a statistical method for inverse analysis infer missing constituent physics. The feasibility of the method is demonstrated using a physics-based visco-plastic self-consistent (VPSC) model that represents the mechanics of slip and twinning behavior in 5182 aluminum alloy. However, a constituent model to carry out thermal analysis representing the dependence of hardening parameters on temperature is unavailable. Using integral-effect experimental data, the proposed approach is used to infer an empirical constituent model, which is then coupled with VPSC to obtain an experimentally augmented partitioned model representing the thermo-mechanical properties of 5182 aluminum alloy.FindingsResults demonstrate the capability of the method to enable model predictions dependent upon relevant operational conditions. The VPSC model is coupled with the empirical constituent, and the newly enabled thermal-dependent predictions are compared with experimental data.Originality/valueThe method developed in this paper enables the empirical inference of a functional representation of input parameter values in lieu of a missing constituent model. Through this approach, development of partitioned models in the presence of uncertainty regarding a constituent model is made possible.

Individual stress determination in irregularly perforated unsymmetrically-loaded structures from temperature data

Topology optimization is an effective tool for high strength-to-weight ratio designs in automotive and aerospace engineering. However, such shape optimization techniques often result in non-traditional geometries and cutout shapes which complicate stress and fatigue analyses. Individual stress determination in an unsymmetrically-loaded finite-width isotropic structure containing an irregular cutout is presented. Stress analysis of such situations can be challenging as analytical solutions are rarely available for non-trivial geometries, and like computational methods, they require accurate knowledge of boundary conditions; often unavailable in practice. Recorded temperature information is processed here with a stress function while imposing traction-free conditions discretely on the edge of the cutout. Thermoelastic stress Analysis (TSA) stresses are separated and individual stresses are determined full-field. Technique is independent of external boundary conditions and does not require any differentiation of experimental data. Results are validated by those from finite element analysis predictions, strain gage measurements and load equilibrium calculations.

Maritime Situation Monitoring for Safe Navigation on Northern Sea Route

Considering growing intensity of navigation on Northern Sea Route and of continuous exploration and development of Arctic shelf, problems of maritime situation monitoring in Arctic become particularly important. Firstly, complex operational informational support of activities in Arctic is needed. Secondly, constant access to actual and valid information about hydro-meteorological, navigational and ice situations is required. Solution of stated problems entails integration, processing and analysis of large amounts of heterogeneous data. Consequently, development of unified system for situation monitoring and intellectual support is essential. Such system allows to execute operational monitoring of dangerous situations of different sort (natural or anthropogenic) that influence safety of objects in Arctic region, and to perform intellectual analysis of such situations and prompt provision of suitable recommendations.

АНАЛИЗ УРОВНЯ БЕЗОПАСНОСТИ НА ДУБЛИРУЮЩИХ ГОРОДСКИХ МАРШРУТАХ

In the article provides basic information, that explaining the main types of competition in the presence of overlapping routes. There are the criteria for evaluating the safety in the presence of duplicate routes in terms of their advantages and disadvantages. The analysis of such situations is on the example of a route section of the transport network of the city of Chelyabinsk. We have the conclusions that ensure the safety at the duplication of routes

Using Exchange Options in the Valuation of Convertible Preferred Shares

There is a set of corporate situations, when there is an exchange of one asset for another, for example, the offer on an exchange of corporate securities. Special case of such offer is the exchange the preferred share which are available for the company on ordinary share. Application of models estimates of options for an exchange of assets gives to the companies and investors the tool of the fundamental analysis of such situations. In this paper offered the methodology of application of an option for an exchange of assets to an assessment of an exchange of the preferred shares of the company on ordinary.

Governance, trade, and investment

Imperfections in the rule of law create new problems of contractibility, in addition to the familiar one of unverifiability of information. Alternative social institutions for governance of property and contract arise but are also imperfect, and can interact well or poorly with the formal state institutions. Security of property and contract is especially problematic for foreign traders and investors. This paper considers some theoretical analysis of such situations. The game-theoretic ideas and methods range from simple two-stage games with strategic moves to bilateral and multilateral repeated games with added issues of asymmetric information and imperfect communication.

Use and Misuse of Pendulum Arbitration in Expert Redetermination of Tract Participation

Summary Over the past two decades, pendulum arbitration has been increasingly incorporated into dispute-resolution procedures for the redetermination of tract participation (equity) for unitized oil and gas fields that straddle domestic license boundaries or international borders. In such cases, the pendulum has been prescribed for use in expert redetermination, ideally so that an expert determines tract participation and then selects the closer submission made by one of the parties. The tract participation of the selected submission then constitutes the expert's final decision. The process can function reasonably well in the originally envisaged situations (e.g., two opposing cases each originating from one of two straddled license areas). It is much more difficult to apply in the more-complex situations to which it has been extrapolated subsequently. These include multiphase reservoirs with separately unitized fluids, several straddled license areas, and the use of the same subsurface model for both field-development and equity-redetermination purposes. An analysis of such situations has allowed the further identification of those circumstances for which the pendulum can be applied meaningfully in expert redetermination and those for which it should not be adopted. These additional expectations include a meaningful basis for tract participation in terms of one (equivalent) unit substance, fully prescribed technical procedures leading to a compliant reservoir model, and a single (as opposed to a staged) expert redetermination that post-dates the parties' submissions but allows for rebuttal in the event of manifest error. Case histories illustrate the difficulties that can arise where these principles are infringed. They also reaffirm the overarching message that each straddling field situation differs from others and therefore every redetermination of tract participation must be assessed separately and thoroughly.

“Woman” on the move: mobile subjectivities after intersectionality

Purpose–The paper originated in challenges trying to theorize and research practices and processes of actors engaged in transnational activities for business and everyday life. Key concern was the assumption that actors’ identities remain the same regardless of time/space. While intersectional analysis once seemed a reasonable analytical approach the authors wondered about starting from identity-based categorical schemes in a world where mobility may be ever more the ontological status of everyday experiences and social structuring. Thus, the paper addresses limitations of intersectional analysis in such situations and advances its recasting via mobile conceptualizations, redressing its analytical purchase for contemporary subject formation.Design/methodology/approach– Discusses emergence of intersectionality at a particular point in time, its success and proliferation, and more recent critiques of these ideas. Develops alternative conceptualization – mobile subjectivities – via literatures on mobilities in the context of globalization. Illustrates the value of these arguments with ethnographic examples from a multi-sited ethnographic project and analyses. Concludes by examining implications for new feminist theorizations under neoliberalism and globalization.Findings– Observing the constitution of a “mobile selfhood” in actual transnational business activities is a step toward making sense of complex processes in contemporary subject formation under globalized market neoliberalism.Research limitations/implications– “Mobile subjectivities” suggest that analyses of oppression and subordination must be ongoing, no matter which “new subjectivities” may appear under “the latest regime.”Originality/value– Theoretical and empirical analyses facilitated a reconceptualization of intersectionality as a mobile, precarious, and transitory accomplishment of selfhood temporarily fixed by the neoliberal rhetoric of “choice” and “self-empowerment.” This is of particular value for understanding transnational practices and processes of contemporary organizational actors.

Multi-walker discrete time quantum walks on arbitrary graphs, their properties and their photonic implementation

Quantum walks have emerged as an interesting alternative to the usual circuit model for quantum computing. While still universal for quantum computing, the quantum walk model has very different physical requirements, which lends itself more naturally to some physical implementations, such as linear optics. Numerous authors have considered walks with one or two walkers, on one-dimensional graphs, and several experimental demonstrations have been performed. In this paper, we discuss generalizing the model of discrete time quantum walks to the case of an arbitrary number of walkers acting on arbitrary graph structures. We present a formalism that allows for the analysis of such situations, and several example scenarios for how our techniques can be applied. We consider the most important features of quantum walks—measurement, distinguishability, characterization and the distinction between classical and quantum interference. We also discuss the potential for physical implementation in the context of linear optics, which is of relevance to present-day experiments.

A maximum likelihood estimator for parameter distributions in heterogeneous cell populations

Abstract In many biologically relevant situations, cells of a clonal population show a heterogeneous response upon a common stimulus. The computational analysis of such situations requires the study of cell-cell variability and modeling of heterogeneous cell populations. In this work, we consider populations where the behavior of every single cell can be described by a system of ordinary differential equations. Heterogeneity among individual cells is modeled via differences in parameter values and initial conditions. Both are subject to a distribution function which is part of the cell population model. We present a novel approach to estimate the distribution of parameters and initial conditions from single cell measurements, e.g. flow cytometry and cytometric fluorescence microscopy. Therefore, a maximum likelihood estimator for the distribution is derived. The resulting optimization problem is reformulated via a parameterization of the distribution of parameters and initial conditions to allow the use of convex optimization techniques. To evaluate the proposed method, artificial data from a model of TNF signal transduction are considered. It is shown that the proposed method yields a good estimate of the parameter distributions in case of a limited amount of noise corrupted data.

Market-Based Corrective Actions

Many economic agents take corrective actions based on information inferred from market prices of firms' securities. Examples include directors and activists intervening in the management of firms and bank supervisors taking actions to improve the health of financial institutions. We provide an equilibrium analysis of such situations in light of a key problem: if agents use market prices when deciding on corrective actions, prices adjust to reflect this use and potentially become less revealing. We show that market information and agents' information are complementary, and discuss measures that can increase agents' ability to learn from market prices. The Author 2009. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org, Oxford University Press.

Reduced Models of Algae Growth

The simulation of biological systems is often plagued by a high level of noise in the data, as well as by models containing a large number of correlated parameters. As a result, the parameters are poorly identified by the data, and the reliability of the model predictions may be questionable. Bayesian sampling methods provide an avenue for proper statistical analysis in such situations. Nevertheless, simulations should employ models that, on the one hand, are reduced as much as possible, and, on the other hand, are still able to capture the essential features of the phenomena studied. Here, in the case of algae growth modeling, we show how a systematic model reduction can be done. The simplified model is analyzed from both theoretical and statistical points of view.