Data In Dynamics Research Articles

Opportunities for interprofessional input into nurse and physician hand-off communication

PurposeHand-offs are vulnerable times for hospitalized patients. Nurses and physicians routinely engage in hand-off communication but their communications remains siloed. Our objectives were to identify key information from each profession that would be of use to the other's hand-off process, and to identify facilitators and barriers to obtaining that input. Materials and methodsWe conducted this qualitative study in a medical intensive care unit. Subjects included 8 physicians, 2 advanced practice providers, and 6 nurses. We conducted observations of hand-offs and afternoon rounds as well as semistructured interviews. We analyzed the transcribed interviews and field note observations\\ to identify themes of interest using a grounded theory approach. ResultsPhysicians were interested in patient data in context, family dynamics, and changing patient condition. Nurses were interested in details about the plan of care and anticipatory guidance. Facilitators of communication included proximity, face-to-face communication, and the electronic medical record. Barriers were busy schedules, inaccurate data, and negative attitudes. ConclusionsThere are key areas of content that both physicians and nurses would like from the other profession to enhance intensive care unit hand-off communication. Interventions designed to increase interdisciplinary communication should focus on these key areas of content.

ORGAN DONATION AND TRANSPLANTATION IN RUSSIAN FEDERATION IN 2015. 8th report of National Register

Aim. To carry out monitoring of the organization and development of the organ donation and transplantation in theRussian Federationaccording to 2015.Materials and methods. Questioning of heads of all the centers of transplantation is carried out. The comparative analysis of the obtained data in dynamics by years, between certain regions of theRussian Federation, the transplantation centers is done.Results. According to the register in2015 inthe Russian Federation 36 centers of renal transplantation, 17 centers of liver transplantation and 10 centers of heart transplantation were functioning. The waiting list of kidney transplantation in 2015 included 4167 potential recipients that make 13% of the total number of the patients (31 500) receiving a dialysis. The rate of donor activity in 2015 made 3.0 pmp. Efficiency of donor programs in 2015 continues to increase: the share of multiorgan retrievals made 57.8%, average number of organs, received from one effective donor, made 2.7. In 2015 the rate of kidney transplantation made 6.5 pmp; the rate of liver transplantation made 2.2 pmp; the rate of heart transplantation made 1.2 pmp. The number of transplantations of liver and heart in theRussian Federationcontinues to increase. The number of transplantations of kidney remains approximately at one level in the range of 950–1050.Moscowcapital region continues to be the center of stability and development of the organ donation and transplantation in the country, in which 10 centers of transplantation are functioning and nearly a half from all kidney transplantations and more than 65% of all liver and heart transplantations are carried out.Conclusion. The potential for further development of the transplantation care in theRussian Federationcontinues to persist. In particular, at the expense of increasing efficiency of regional donation programs, expanding practices of multiorgan recuperation and transplantations of extrarenal organs, through interregional transplant coordination. It is critical to keep the volumes of the state order to deliver transplantological medical care to the population and to implement federal funding to conduct donation programs.

MODERN TRENDS OF HEALTH UFO

Goal . Used voluminous bubble charts to identify the relationships are described using histograms accumulation schedules following summary data FD in the last 5 years: incidence per 1000 population (registered disease in patients with the diagnosis set for the first time); the number of hospital beds (end of year) per 10 000 population; per 10 000 population per shift outpatient organizations; the number of doctors of all specialties (end of year) per 10 000 population, persons; population per employee nursing; the number of nursing staff (end of year) per 10 000 population, persons. Methods . We used the methods of descriptive statistics, comparative analysis, visualization. Results . To identify differences between the subjects of FD were summarized above indicators FD over the past 5 years. It is possible to trace the trend of changing data rates for FD (as well as the relative position of the subjects), not only for one year, but for the last 5 years at the same time with the help of histograms and graphs accumulation. Volume bubble charts clearly demonstrated the interdependence of the individual indicators. Conclusion . Using the methods of descriptive statistics, comparative analysis, visualization, demonstrated their great potential for the evaluation and analysis of the dynamics of health development in the Russian regions. On the basis of descriptive statistics and visualization techniques have been investigated as a place of each FD data in dynamics, and in relation to other subjects. It has been made appropriate recommendations on the priorities for each subject. Analyzes the interdependence of the main indicators on the basis of volume bubble charts.

POPULATION DYNAMICS OF SPORTS FACILITIES IN THE NORTH CAUCASUS FEDERAL DISTRICT SUBJECTS

Goal. Used voluminous bubble charts to identify the relationships are described using the histogram with the accumulation, the following summary data graphs SFD entities over the past 5 years: stadiums with bleachers for 1,500 seats and more; planar sports facilities (grounds and fields); Sport halls; swimming pools. Methods. We used the methods of descriptive statistics, comparative analysis, visualization. Results. To identify differences between the subjects of the Southern Federal District were summarized above indicators SFD over the past 5 years. It is possible to trace the trend of changes in these indicators for SFD entities (as well as the relative position of the subjects), not only for one year, but for the last 5 years at the same time with the help of histograms and graphs accumulation. Volume bubble charts clearly demonstrated the interdependence of the individual indicators. Conclusion. Using the methods of descriptive statistics, comparative analysis, visualization, demonstrated their great potential for the evaluation and analysis of the dynamics of cultural development in the regions of the Southern Federal District. On the basis of descriptive statistics and visualization techniques have been investigated place each subject as the SFD data in dynamics, and in relation to other subjects. We have been made appropriate recommendations on the priorities for each subject. Analyzes the interdependence of the main indicators on the basis of volume bubble charts.

CHILDRENS HOLIDAY IN SUBJECTS SKFO

Goal. Used voluminous bubble charts to identify the relationships are described using the histogram with the accumulation, the following summary data graphs SFD entities over the past 5 years: the number of children's recreational facilities; the number of children they rested in the summer. Methods. We used the methods of descriptive statistics, comparative analysis, visualization. Results. To identify differences between the subjects of the Southern Federal District were summarized above indicators SFD over the past 5 years. It is possible to trace the trend of changes in these indicators for SFD entities (as well as the relative position of the subjects), not only for one year, but for the last 5 years at the same time with the help of histograms and graphs accumulation. Volume bubble charts clearly demonstrated the interdependence of the individual indicators. Conclusion. Using the methods of descriptive statistics, comparative analysis, visualization, demonstrated their great potential for the evaluation and analysis of the dynamics of cultural development in the regions of the Southern Federal District. On the basis of descriptive statistics and visualization techniques have been investigated place each subject as the SFD data in dynamics, and in relation to other subjects. We have been made appropriate recommendations on the priorities for each subject. Analyzes the interdependence of the main indicators on the basis of volume bubble charts.

CULTURAL DIFFERENCES IN SUBJECTS SKFO

Goal. Used voluminous bubble charts to identify the relationships are described using the histogram with the accumulation, the following summary of subjects of the Southern Federal District charts over the past 5 years: the number of spectators theater, people; number of visits to museums; library stock per 1000 population (at the end of the year; copies); the publication of newspapers per 1000 population (single copies; copies). Methods. We used the methods of descriptive statistics, comparative analysis, visualization. Results. To identify differences between the subjects of the Southern Federal District were summarized above indicators SFD over the past 5 years. It is possible to trace the trend of changes in these indicators for SFD entities (as well as the relative position of the subjects), not only for one year, but for the last 5 years at the same time with the help of histograms and graphs accumulation. Volume bubble charts clearly demonstrated the interdependence of the individual indicators. Conclusion. Using the methods of descriptive statistics, comparative analysis, visualization, demonstrated their great potential for the evaluation and analysis of the dynamics of cultural development in the regions of the Southern Federal District. On the basis of descriptive statistics and visualization techniques have been investigated place each subject as the SFD data in dynamics, and in relation to other subjects. We have been made appropriate recommendations on the priorities for each subject. Analyzes the interdependence of the main indicators on the basis of volume bubble charts.

DYNAMICS OF IMPACT OF ECONOMIC ACTIVITY ON THE ENVIRONMENT IN RUSSIAN REGIONS

Goal. Used voluminous bubble charts to identify the relationships are described using histograms accumulation schedules following summary data FD in the last 5 years: emissions of pollutants into the atmosphere from stationary sources (thousand tons); trapping air pollutants from stationary sources (thousand tons); the use of fresh water (million cubic meters); the quantity of recycled water used and consistently (million cubic meters); discharge of polluted wastewater into surface water bodies (million cubic meters). Methods. We used the methods of descriptive statistics, comparative analysis, visualization. Results. To identify differences between the subjects of FD were summarized above indicators FD over the past 5 years. It is possible to trace the trend of changing data rates for FD (as well as the relative position of the subjects), not only for one year, but for the last 5 years at the same time with the help of histograms and graphs accumulation. Volume bubble charts clearly demonstrated the interdependence of the individual indicators. Conclusion. Using the methods of descriptive statistics, comparative analysis, visualization, demonstrated their great ability to assess and analyze the dynamics of the impact of business activities on the environment in the regions of Russia. On the basis of descriptive statistics and visualization techniques have been investigated as a place of each FD data in dynamics, and in relation to other subjects. It has been made appropriate recommendations on the priorities for each subject. Analyzes the interdependence of the main indicators on the basis of volume bubble charts.

ANALYSIS OF LIVING CONDITIONS IN THE RUSSIAN DEFENSE MINISTRY - ESSENTIAL CONDITION FOR THE WELFARE OF THE POPULATION

Goal. Used voluminous bubble charts to identify the relationships are described using histograms accumulation schedules following summary data FD in the last 5 years: a housing allocation in the urban and rural; the distribution of the housing stock by ownership; the dynamics of the proportion of old and dilapidated housing stock in the total area of all the housing stock; including specific gravity of families in need of accommodation, receiving accommodations, improve living conditions, have received subsidies to pay for housing and communal services; the number of citizens using social support, social support received for payment of housing and communal services. Methods. We used the methods of descriptive statistics, comparative analysis, visualization. Results. To identify differences between the subjects of FD were summarized above indicators FD over the past 5 years. It is possible to trace the trend of changing data rates for FD (as well as the relative position of the subjects), not only for one year, but for the last 5 years at the same time with the help of histograms and graphs accumulation. Volume bubble charts clearly demonstrated the interdependence of the individual indicators, which was later confirmed by statistical calculations. Conclusion. Using the methods of descriptive statistics, comparative analysis, visualization, demonstrated their great potential for the evaluation and analysis of the dynamics of living conditions in the Federal District of the Russian Federation. On the basis of descriptive statistics and visualization techniques have been investigated as a place of each FD data in dynamics, and in relation to other subjects. It has been made appropriate recommendations on the priorities for each subject. Analyzes the interdependence of the main indicators on the basis of volume bubble charts.

CULTURAL DIFFERENCES IN RUSSIAN REGIONS

Goal . Used voluminous bubble charts to identify the relationships are described using histograms accumulation schedules following summary data FD in the last 5 years: the number of spectators theater, people; number of visits to museums; stadiums with bleachers for 1,500 seats and more; planar sports facilities (grounds and fields); Sport halls; swimming pools; library stock per 1000 population (at the end of the year; copies); the number of users, thousands of people.; the publication of newspapers per 1000 population (single copies; copies); the number of children's recreational facilities; the number of children they rested over the summer, thousands of people.; the number of cinemas (end of year); the number of cinema visits, thousands of all.; are able to receive television programs of all terrestrial analog television broadcasting; are able to receive television programs of digital broadcasting; the number of collective accommodation facilities; the number of outstanding individuals thousand people.; the number of tourist companies; the number of tour packages sold to the public; the number of Russian tourists, tourist firms sent on tour in Russia; the number of Russian tourists, tourist firms sent in overseas tours. Methods . We used the methods of descriptive statistics, comparative analysis, visualization. Results . To identify differences between the subjects of FD were summarized above indicators FD over the past 5 years. It is possible to trace the trend of changing data rates for FD (as well as the relative position of the subjects), not only for one year, but for the last 5 years at the same time with the help of histograms and graphs accumulation. Volume bubble charts clearly demonstrated the interdependence of the individual indicators. Conclusion . Using the methods of descriptive statistics, comparative analysis, visualization, demonstrated their great potential for the evaluation and analysis of the dynamics of cultural development in the Russian regions. On the basis of descriptive statistics and visualization techniques have been investigated as a place of each FD data in dynamics, and in relation to other subjects. It has been made appropriate recommendations on the priorities for each subject. Analyzes the interdependence of the main indicators on the basis of volume bubble charts.

КЛАСТЕРНЫЙ АНАЛИЗ ДАННЫХ БАЛЛЬНО-РЕЙТИНГОВОЙ СИСТЕМЫ (НА ПРИМЕРЕ ДИСЦИПЛИНЫ «МАТЕМАТИКА»)

Score rating system is considered a rather effective assessment tool. At the same time, the analysis of a data file of a rating is very labor-consuming. Data processing by standard statistical methods often leads to the removal of average indicators that do not meet the requirement of an individual approach to students. Individual approach is of particular importance in differentiating clusters of students with low progress on a motivation scale at junior university courses in conditions of difficult demographic situation when there is a need to preserve the number of students. The aim of the paper is to differentiate the revealed clusters of initial group of students on a success degree (credit score-rating) by cluster analysis. The hypothesis is formulated: the score-rating data in dynamics of its formation has hidden information on the existence (or absence) of tendencies on transformation of the students’ clusters. The identification of such tendencies will allow us further to define the degree of stability of the similar clusters as characteristics of students’ motivation and degree of success of the training process. The results show that when the division into the clusters of “successful” and “unsuccessful” students is preserved, we can observe a rather stable cluster of “transition” students, which is difficult to reveal by standard statistical methods of the analysis. The cluster of “unsuccessful” students in its turn possesses its own structure of clusters similar to the structure of clusters of initial group. In terms of Pedagogy, this fact can confirm the hypothesis about the existence of dynamics in formally created clusters and identify the potential increase in a number of “successful” students. The revealed structure of a “transition” cluster is the target audience for the teachers to help these students to improve their results and transfer from the cluster of “unsuccessful” to the cluster of “successful” students.

Integrating Systems Modelling and Data Science

Although System Dynamics modelling is sometimes referred to as data-poor modelling, it often is –or could be– applied in a data-rich manner. However, more can be done in the era of ‘big data'. Big data refers here to situations with much more available data than was until recently manageable. The field of data science makes big(ger) data manageable. This paper provides a perspective on the future of System Dynamics with a prominent place for bigger data and data science. It discusses different approaches for dealing with bigger data. It reviews methods, techniques and tools for dealing with bigger data in System Dynamics, and sheds light on the modelling phases for which data science is most useful. Finally, it provides several examples of current applications in which big data, data science, and System Dynamics modelling and simulation are being merged.

ORGAN DONATION AND TRANSPLANTATION IN THE RUSSIAN FEDERATION IN 2014 7th REPORT OF NATIONAL REGISTER

Aim. To carry out monitoring of the organization and development of organ donation and transplantation in the Russian Federation according to 2014. Materials and methods. Questioning of heads of all the centers of transplantation is carried out. The comparative analysis of the obtained data in dynamics of years, between certain regions of the Russian Federation, the transplantation centers, and also with data of the international registers is made. Results. According to the Register in 2014 in the Russian Federation functioned 36 centers of kidney transplantation, 14 centers of liver transplantation and 9 centers of heart transplantation. The waiting list of kidney transplantation in 2014 included 4636 potential recipients that makes 16% of total number of the patients 29 000 receiving dialysis. The rate of donor activity in 2014 made 3.2 per million population (pmp). Efficiency of donor programs in 2014 continued to increase: the share of effective donors after brain death in 2014 increased to 77.2%, the share of multiorgan explantation made 50.5%, average number of organs received from one effective donor made 2.6. In 2014 the rate of kidney transplantation made 7.0 pmp, the rate of liver transplantation made 2.1 pmp and the rate of heart transplantation made 1.1 pmp. In the Russian Federation the number of transplantations of liver and heart continues to increase. The significant contribution to development of the organ donation and transplantation brings the Moscow region in which 11 centers of transplantation function and nearly a half from all kidney transplantations and more than 65% of all liver and heart transplantations are carried out. Conclusion. In theRussian Federation the potential for further development of the transplantology remains. In particular, at the expense of increase in the efficiency of regional donation programs, introduction of technologies, expansion of the practices of multiorgan donation and transplantations of extrarenal organs, interregional transplant coordination. Preservation of volumes of public funding for transplantological medical care and federal financing of donation programs in regions are of great importance.

A processing–modeling routine to use SNOTEL hourly data in snowpack dynamic models

SNOTEL hourly and daily data are a strategic information about snowpack dynamics in western United States. Hourly data are highly noisy due to, e.g., non-physical temperature-based fluctuations of the signal or gauge under-catch. Noise may hinder, among other factors, the correct evaluation of precipitation events or the measurement of SWE, hence the reconstruction of accumulation and melt run-off timing. This makes hourly data practically useless without a denoising procedure. As this time resolution is widely used in hydrologic applications, here we test SNOTEL hourly data in modeling snowpack dynamics. A one-dimensional model of snow depth, snow water equivalent and bulk snow density has been adopted to this aim. We define an automated processing routine to denoise data-series of snow depth, snow water equivalent, bulk snow density, liquid and solid precipitation. Special attention is paid into distinguishing the different types of precipitation, and processing snow depth data. Since sub-daily physical oscillations in snow depth data are difficult to be separated from instrument noise, a joint processing–modeling procedure has been designed. Forty SNOTEL sites throughout the western United States with multi-year data are considered for testing the procedure. The analysis shows that the model performance, expressed in terms of median values of the Nash–Sutcliffe coefficient, are higher than 0.8 for all the three variables, provided the first year of each dataset is used in the calibration phase.

Contour Boxplots: A Method for Characterizing Uncertainty in Feature Sets from Simulation Ensembles

Ensembles of numerical simulations are used in a variety of applications, such as meteorology or computational solid mechanics, in order to quantify the uncertainty or possible error in a model or simulation. Deriving robust statistics and visualizing the variability of an ensemble is a challenging task and is usually accomplished through direct visualization of ensemble members or by providing aggregate representations such as an average or pointwise probabilities. In many cases, the interesting quantities in a simulation are not dense fields, but are sets of features that are often represented as thresholds on physical or derived quantities. In this paper, we introduce a generalization of boxplots, called contour boxplots, for visualization and exploration of ensembles of contours or level sets of functions. Conventional boxplots have been widely used as an exploratory or communicative tool for data analysis, and they typically show the median, mean, confidence intervals, and outliers of a population. The proposed contour boxplots are a generalization of functional boxplots, which build on the notion of data depth. Data depth approximates the extent to which a particular sample is centrally located within its density function. This produces a center-outward ordering that gives rise to the statistical quantities that are essential to boxplots. Here we present a generalization of functional data depth to contours and demonstrate methods for displaying the resulting boxplots for two-dimensional simulation data in weather forecasting and computational fluid dynamics.

Study on Stress-Velocity Elastic with 2.5D Numerical Simulation for Wavefields of Cross-Hole Seismic in Anisotropy Heterogeneous Medium

Numerical simulation is an effective approach for identifying and analyzing elastic wavefields in subsurface. From the first-order stress-velocity elastic wave equations in VTI medium, this paper use high-order stagger-grid finite-difference scheme to compute 3C wavefields in 2D space, performing 2.5D simulation. A method of establishing geological model is presented. Boundary reflections are suppressed successfully by PML. Characteristics of synthetic data by this method are coincident with field data in both kinematics and dynamics

Structural features of human histone acetyltransferase p300 and its complex with p53

The protein p300 is a multifunctional transcriptional coactivator that plays pivotal role in several cellular functions. Although structures of several domains have been solved in isolation, the structures of full-length protein (p300 FL) or its complexes with transcription activators are completely unknown. Herein, we applied atomic force microscopy to visualize p300 FL. We found that it is almost prolate ellipsoidal in shape, having several bulges. We further identified the functionally significant N-terminal and C-terminal regions, by applying domain-specific antibodies and found that they are located near one end and centre of the molecule, respectively. Importantly, we have visualized the complex between p300 FL and tumor suppressor protein p53. The relevance of these data in understanding dynamics of p300 during acetylation and transcription will be mentioned. Structured summary of protein interactionsp300 and p53bind by atomic force microscopy (View interaction)

Investigating observability properties from data in nonlinear dynamics

Investigation of observability properties of nonlinear dynamical systems aims at giving a hint on how much dynamical information can be retrieved from a system using a certain measuring function. Such an investigation usually requires knowledge of the system equations. This paper addresses the challenging problem of investigating observability properties of a system only from recorded data. From previous studies it is known that phase spaces reconstructed from poor observables are characterized by local sharp pleatings, local strong squeezing of trajectories, and global inhomogeneity. A statistic is then proposed to quantify such properties of poor observability. Such a statistic was computed for a number of bench models for which observability studies had been previously performed. It was found that the statistic proposed in this paper, estimated exclusively from data, correlates generally well with observability results obtained using the system equations. It is possible to arrive at the same order of observability among the state variables using the proposed statistic even in the presence of noise with a standard deviation as high as 10% of the data. The paper includes the application of the proposed statistic to sunspot time series.

606 流れ場のセグメンテーションについて(J01-2 流体情報学と協調的可視化(2),ジョイントセッション,21世紀地球環境革命の機械工学:人・マイクロナノ・エネルギー・環境)

As complexity of computational/experimental raw data in fluid dynamics increases, interpretation of visualized results becomes more difficult. And then, interpretation of the results by experts is of necessity required. It is important to know where their attentions are focused. In this paper, we propose a new method of segmentation based on visual attention of visualized information.

Cauchy problem for linearized system of two-dimensional isentropic flow with axisymmetrical initial data in gas dynamics

The explicit solution to Cauchy problem for linearized system of two-dimensional isentropic flow with axisymmetrical initial data in gas dynamics is given.

The use of satellite data in modeling population dynamics and prevalence of infection in the rodent reservoir of Junin virus

We present the first results of a simple numerical model of rodent population dynamics and viral infection for Junin virus, etiologic agent of Argentine hemorrhagic fever (AHF), in its host, Calomys musculinus. In contrast to the more common statistical approach, the model incorporates satellite-derived environmental data in a causal approach. In addition, the model incorporates specific biological characteristics of the host, such as birth rate and longevity. Theoretical and actual rodent population densities are compared with several years of capture data at locations on the Argentine pampas. The model appears to be a good tool for simulating dynamics of populations using remotely sensed data. Results are in agreement with field data showing maximum population densities during the autumn in most localities. The differences between simulated population densities and field observed values indicate that, although computer simulation is useful to obtain some aspects of population dynamics, improvements should be introduced in order to generate more robust results.