Dynamic Modeling of Systemic Risk in Financial Networks
NASA Astrophysics Data System (ADS)
Avakian, Adam
Modern financial networks are complicated structures that can contain multiple types of nodes and connections between those nodes. Banks, governments and even individual people weave into an intricate network of debt, risk correlations and many other forms of interconnectedness. We explore multiple types of financial network models with a focus on understanding the dynamics and causes of cascading failures in such systems. In particular, we apply real-world data from multiple sources to these models to better understand real-world financial networks. We use the results of the Federal Reserve "Banking Organization Systemic Risk Report" (FR Y-15), which surveys the largest US banks on their level of interconnectedness, to find relationships between various measures of network connectivity and systemic risk in the US financial sector. This network model is then stress-tested under a number of scenarios to determine systemic risks inherent in the various network structures. We also use detailed historical balance sheet data from the Venezuelan banking system to build a bipartite network model and find relationships between the changing network structure over time and the response of the system to various shocks. We find that the relationship between interconnectedness and systemic risk is highly dependent on the system and model but that it is always a significant one. These models are useful tools that add value to regulators in creating new measurements of systemic risk in financial networks. These models could be used as macroprudential tools for monitoring the health of the entire banking system as a whole rather than only of individual banks.
Cascading Failures in Bi-partite Graphs: Model for Systemic Risk Propagation
Huang, Xuqing; Vodenska, Irena; Havlin, Shlomo; Stanley, H. Eugene
2013-01-01
As economic entities become increasingly interconnected, a shock in a financial network can provoke significant cascading failures throughout the system. To study the systemic risk of financial systems, we create a bi-partite banking network model composed of banks and bank assets and propose a cascading failure model to describe the risk propagation process during crises. We empirically test the model with 2007 US commercial banks balance sheet data and compare the model prediction of the failed banks with the real failed banks after 2007. We find that our model efficiently identifies a significant portion of the actual failed banks reported by Federal Deposit Insurance Corporation. The results suggest that this model could be useful for systemic risk stress testing for financial systems. The model also identifies that commercial rather than residential real estate assets are major culprits for the failure of over 350 US commercial banks during 2008–2011. PMID:23386974
Petrone, Daniele; Latora, Vito
2018-04-03
The interconnectedness of financial institutions affects instability and credit crises. To quantify systemic risk we introduce here the PD model, a dynamic model that combines credit risk techniques with a contagion mechanism on the network of exposures among banks. A potential loss distribution is obtained through a multi-period Monte Carlo simulation that considers the probability of default (PD) of the banks and their tendency of defaulting in the same time interval. A contagion process increases the PD of banks exposed toward distressed counterparties. The systemic risk is measured by statistics of the loss distribution, while the contribution of each node is quantified by the new measures PDRank and PDImpact. We illustrate how the model works on the network of the European Global Systemically Important Banks. For a certain range of the banks' capital and of their assets volatility, our results reveal the emergence of a strong contagion regime where lower default correlation between banks corresponds to higher losses. This is the opposite of the diversification benefits postulated by standard credit risk models used by banks and regulators who could therefore underestimate the capital needed to overcome a period of crisis, thereby contributing to the financial system instability.
A dynamic network model for interbank market
NASA Astrophysics Data System (ADS)
Xu, Tao; He, Jianmin; Li, Shouwei
2016-12-01
In this paper, a dynamic network model based on agent behavior is introduced to explain the formation mechanism of interbank market network. We investigate the impact of credit lending preference on interbank market network topology, the evolution of interbank market network and stability of interbank market. Experimental results demonstrate that interbank market network is a small-world network and cumulative degree follows the power-law distribution. We find that the interbank network structure keeps dynamic stability in the network evolution process. With the increase of bank credit lending preference, network clustering coefficient increases and average shortest path length decreases monotonously, which improves the stability of the network structure. External shocks are main threats for the interbank market and the reduction of bank external investment yield rate and deposits fluctuations contribute to improve the resilience of the banking system.
GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures.
Tung, W L; Quek, C; Cheng, P
2004-05-01
Bank failure prediction is an important issue for the regulators of the banking industries. The collapse and failure of a bank could trigger an adverse financial repercussion and generate negative impacts such as a massive bail out cost for the failing bank and loss of confidence from the investors and depositors. Very often, bank failures are due to financial distress. Hence, it is desirable to have an early warning system (EWS) that identifies potential bank failure or high-risk banks through the traits of financial distress. Various traditional statistical models have been employed to study bank failures [J Finance 1 (1975) 21; J Banking Finance 1 (1977) 249; J Banking Finance 10 (1986) 511; J Banking Finance 19 (1995) 1073]. However, these models do not have the capability to identify the characteristics of financial distress and thus function as black boxes. This paper proposes the use of a new neural fuzzy system [Foundations of neuro-fuzzy systems, 1997], namely the Generic Self-organising Fuzzy Neural Network (GenSoFNN) [IEEE Trans Neural Networks 13 (2002c) 1075] based on the compositional rule of inference (CRI) [Commun ACM 37 (1975) 77], as an alternative to predict banking failure. The CRI based GenSoFNN neural fuzzy network, henceforth denoted as GenSoFNN-CRI(S), functions as an EWS and is able to identify the inherent traits of financial distress based on financial covariates (features) derived from publicly available financial statements. The interaction between the selected features is captured in the form of highly intuitive IF-THEN fuzzy rules. Such easily comprehensible rules provide insights into the possible characteristics of financial distress and form the knowledge base for a highly desired EWS that aids bank regulation. The performance of the GenSoFNN-CRI(S) network is subsequently benchmarked against that of the Cox's proportional hazards model [J Banking Finance 10 (1986) 511; J Banking Finance 19 (1995) 1073], the multi-layered perceptron (MLP) and the modified cerebellar model articulation controller (MCMAC) [IEEE Trans Syst Man Cybern: Part B 30 (2000) 491] in predicting bank failures based on a population of 3635 US banks observed over a 21 years period. Three sets of experiments are performed-bank failure classification based on the last available financial record and prediction using financial records one and two years prior to the last available financial statements. The performance of the GenSoFNN-CRI(S) network as a bank failure classification and EWS is encouraging.
The network of corporate clients: customer attrition at commercial banks
NASA Astrophysics Data System (ADS)
Lublóy, Á.; Szenes, M.
2008-12-01
Commercial banks might profit from the adoption of methods widely used in network theory. A decision making process might become biased if one disregards network effects within the corporate client portfolio. This paper models the phenomenon of customer attrition by generating a weighted and directed network of corporate clients linked by financial transactions. During the numerical study of the agent-based toy model we demonstrate that multiple steady states may exist. The statistical properties of the distinct steady states show similarities. We show that most companies of the same community choose the same bank in the steady state. In contrast to the case for the steady state of the Barabási-Albert network, market shares in this model equalize by network size. When modeling customer attrition in the network of 3 × 105 corporate clients, none of the companies followed the behavior of the initial switcher in three quarters of the simulations. The number of switchers exceeded 20 in 1% of the cases. In the worst-case scenario a total of 688 companies chose a competitor bank. Significant network effects have been discovered; high correlation prevailed between the degree of the initial switcher and the severity of the avalanche effect. This suggests that the position of the corporate client in the network might be much more important than the underlying properties (industry, size, profitability, etc) of the company.
Measurement and Internalization of Systemic Risk in a Global Banking Network
NASA Astrophysics Data System (ADS)
Feng, Xiaobing; Hu, Haibo
2013-12-01
The negative externalities from an individual bank failure to the whole system can be huge. One of the key purposes of bank regulation is to internalize the social costs of potential bank failures via capital charges. This study proposes a method to evaluate and allocate the systemic risk to different countries/regions using a Susceptible-Infected-Removable (SIR) type of epidemic spreading model and the Shapley value (SV) in game theory. The paper also explores features of a constructed bank network using real globe-wide banking data.
Network theory and its applications in economic systems
NASA Astrophysics Data System (ADS)
Huang, Xuqing
This dissertation covers the two major parts of my Ph.D. research: i) developing theoretical framework of complex networks; and ii) applying complex networks models to quantitatively analyze economics systems. In part I, we focus on developing theories of interdependent networks, which includes two chapters: 1) We develop a mathematical framework to study the percolation of interdependent networks under targeted-attack and find that when the highly connected nodes are protected and have lower probability to fail, in contrast to single scale-free (SF) networks where the percolation threshold pc = 0, coupled SF networks are significantly more vulnerable with pc significantly larger than zero. 2) We analytically demonstrates that clustering, which quantifies the propensity for two neighbors of the same vertex to also be neighbors of each other, significantly increases the vulnerability of the system. In part II, we apply the complex networks models to study economics systems, which also includes two chapters: 1) We study the US corporate governance network, in which nodes representing directors and links between two directors representing their service on common company boards, and propose a quantitative measure of information and influence transformation in the network. Thus we are able to identify the most influential directors in the network. 2) We propose a bipartite networks model to simulate the risk propagation process among commercial banks during financial crisis. With empirical bank's balance sheet data in 2007 as input to the model, we find that our model efficiently identifies a significant portion of the actual failed banks reported by Federal Deposit Insurance Corporation during the financial crisis between 2008 and 2011. The results suggest that complex networks model could be useful for systemic risk stress testing for financial systems. The model also identifies that commercial rather than residential real estate assets are major culprits for the failure of over 350 US commercial banks during 2008 - 2011.
Bankruptcy cascades in interbank markets.
Tedeschi, Gabriele; Mazloumian, Amin; Gallegati, Mauro; Helbing, Dirk
2012-01-01
We study a credit network and, in particular, an interbank system with an agent-based model. To understand the relationship between business cycles and cascades of bankruptcies, we model a three-sector economy with goods, credit and interbank market. In the interbank market, the participating banks share the risk of bad debits, which may potentially spread a bank's liquidity problems through the network of banks. Our agent-based model sheds light on the correlation between bankruptcy cascades and the endogenous economic cycle of booms and recessions. It also demonstrates the serious trade-off between, on the one hand, reducing risks of individual banks by sharing them and, on the other hand, creating systemic risks through credit-related interlinkages of banks. As a result of our study, the dynamics underlying the meltdown of financial markets in 2008 becomes much better understandable.
A framework for analyzing contagion in assortative banking networks
Hurd, Thomas R.; Gleeson, James P.; Melnik, Sergey
2017-01-01
We introduce a probabilistic framework that represents stylized banking networks with the aim of predicting the size of contagion events. Most previous work on random financial networks assumes independent connections between banks, whereas our framework explicitly allows for (dis)assortative edge probabilities (i.e., a tendency for small banks to link to large banks). We analyze default cascades triggered by shocking the network and find that the cascade can be understood as an explicit iterated mapping on a set of edge probabilities that converges to a fixed point. We derive a cascade condition, analogous to the basic reproduction number R0 in epidemic modelling, that characterizes whether or not a single initially defaulted bank can trigger a cascade that extends to a finite fraction of the infinite network. This cascade condition is an easily computed measure of the systemic risk inherent in a given banking network topology. We use percolation theory for random networks to derive a formula for the frequency of global cascades. These analytical results are shown to provide limited quantitative agreement with Monte Carlo simulation studies of finite-sized networks. We show that edge-assortativity, the propensity of nodes to connect to similar nodes, can have a strong effect on the level of systemic risk as measured by the cascade condition. However, the effect of assortativity on systemic risk is subtle, and we propose a simple graph theoretic quantity, which we call the graph-assortativity coefficient, that can be used to assess systemic risk. PMID:28231324
A framework for analyzing contagion in assortative banking networks.
Hurd, Thomas R; Gleeson, James P; Melnik, Sergey
2017-01-01
We introduce a probabilistic framework that represents stylized banking networks with the aim of predicting the size of contagion events. Most previous work on random financial networks assumes independent connections between banks, whereas our framework explicitly allows for (dis)assortative edge probabilities (i.e., a tendency for small banks to link to large banks). We analyze default cascades triggered by shocking the network and find that the cascade can be understood as an explicit iterated mapping on a set of edge probabilities that converges to a fixed point. We derive a cascade condition, analogous to the basic reproduction number R0 in epidemic modelling, that characterizes whether or not a single initially defaulted bank can trigger a cascade that extends to a finite fraction of the infinite network. This cascade condition is an easily computed measure of the systemic risk inherent in a given banking network topology. We use percolation theory for random networks to derive a formula for the frequency of global cascades. These analytical results are shown to provide limited quantitative agreement with Monte Carlo simulation studies of finite-sized networks. We show that edge-assortativity, the propensity of nodes to connect to similar nodes, can have a strong effect on the level of systemic risk as measured by the cascade condition. However, the effect of assortativity on systemic risk is subtle, and we propose a simple graph theoretic quantity, which we call the graph-assortativity coefficient, that can be used to assess systemic risk.
Bankruptcy Cascades in Interbank Markets
Tedeschi, Gabriele; Mazloumian, Amin; Gallegati, Mauro; Helbing, Dirk
2012-01-01
We study a credit network and, in particular, an interbank system with an agent-based model. To understand the relationship between business cycles and cascades of bankruptcies, we model a three-sector economy with goods, credit and interbank market. In the interbank market, the participating banks share the risk of bad debits, which may potentially spread a bank’s liquidity problems through the network of banks. Our agent-based model sheds light on the correlation between bankruptcy cascades and the endogenous economic cycle of booms and recessions. It also demonstrates the serious trade-off between, on the one hand, reducing risks of individual banks by sharing them and, on the other hand, creating systemic risks through credit-related interlinkages of banks. As a result of our study, the dynamics underlying the meltdown of financial markets in 2008 becomes much better understandable. PMID:23300760
Fitness model for the Italian interbank money market.
De Masi, G; Iori, G; Caldarelli, G
2006-12-01
We use the theory of complex networks in order to quantitatively characterize the formation of communities in a particular financial market. The system is composed by different banks exchanging on a daily basis loans and debts of liquidity. Through topological analysis and by means of a model of network growth we can determine the formation of different group of banks characterized by different business strategy. The model based on Pareto's law makes no use of growth or preferential attachment and it reproduces correctly all the various statistical properties of the system. We believe that this network modeling of the market could be an efficient way to evaluate the impact of different policies in the market of liquidity.
A mixed integer bi-level DEA model for bank branch performance evaluation by Stackelberg approach
NASA Astrophysics Data System (ADS)
Shafiee, Morteza; Lotfi, Farhad Hosseinzadeh; Saleh, Hilda; Ghaderi, Mehdi
2016-03-01
One of the most complicated decision making problems for managers is the evaluation of bank performance, which involves various criteria. There are many studies about bank efficiency evaluation by network DEA in the literature review. These studies do not focus on multi-level network. Wu (Eur J Oper Res 207:856-864, 2010) proposed a bi-level structure for cost efficiency at the first time. In this model, multi-level programming and cost efficiency were used. He used a nonlinear programming to solve the model. In this paper, we have focused on multi-level structure and proposed a bi-level DEA model. We then used a liner programming to solve our model. In other hand, we significantly improved the way to achieve the optimum solution in comparison with the work by Wu (2010) by converting the NP-hard nonlinear programing into a mixed integer linear programming. This study uses a bi-level programming data envelopment analysis model that embodies internal structure with Stackelberg-game relationships to evaluate the performance of banking chain. The perspective of decentralized decisions is taken in this paper to cope with complex interactions in banking chain. The results derived from bi-level programming DEA can provide valuable insights and detailed information for managers to help them evaluate the performance of the banking chain as a whole using Stackelberg-game relationships. Finally, this model was applied in the Iranian bank to evaluate cost efficiency.
Complex Network for a Crisis Contagion on AN Interbank System
NASA Astrophysics Data System (ADS)
Tirado, Mariano
2012-09-01
The main focus of this research is the contagion of a financial crisis on an interbank debt network. In order to simulate the crisis propagation a weighted community complex network based on growth strategy has been created. The contagion is described by a new way of disease propagation perspective based on the concept of a financial virus. The model reproduces the existence of TBTF banks and shows the impact that an initial TBTF bank crash produces in the interbank network depending on the magnitude of the initial crash and on the resistance that the network offers against the contagion propagation.
CHANNEL EVOLUTION IN MODIFIED ALLUVIAL STREAMS.
Simon, Andrew; Hupp, Cliff R.
1987-01-01
This study (a) assesses the channel changes and network trends of bed level response after modifications between 1959 and 1972 of alluvial channels in western Tennessee and (b) develops a conceptual model of bank slope development to qualitatively assess bank stability and potential channel widening. A six-step, semiquantitative model of channel evolution in disturbed channels was developed by quantifying bed level trends and recognizing qualitative stages of bank slope development. Development of the bank profile is defined in terms of three dynamic and observable surfaces: (a) vertical face (70 to 90 degrees), (b) upper bank (25 to 50 degrees), and (c) slough line (20 to 25 degrees).
The evolution of risk and bailout strategy in banking systems
NASA Astrophysics Data System (ADS)
De Caux, Robert; McGroarty, Frank; Brede, Markus
2017-02-01
In this paper we analyse the long-term costs and benefits of bailout strategies in models of networked banking systems. Unlike much of the current literature on financial contagion that focuses on systemic risk at one point in time, we consider adaptive banks that adjust risk taking in response to internal system dynamics and regulatory intervention, allowing us to analyse the potentially crucial moral hazard aspect associated with frequent bailouts. We demonstrate that whereas bailout generally serves as an effective tool to limit the size of bankruptcy cascades in the short term, inappropriate intervention strategies can encourage risk-taking and thus be inefficient and detrimental to long term system stability. We analyse points of long-term optimal bailout and discuss their dependence on the structure of the banking network. In the second part of the paper, we demonstrate that bailout efficiency can be improved by taking into account information about the topology of and risk allocation on the banking network, and demonstrate that finely tuned intervention strategies aimed at bailing out banks in configurations with some degree of anti-correlated risk have superior performance. These results demonstrate that a suitable intervention policy may be a useful tool for driving the banking system towards a more robust structure.
Insolvency and contagion in the Brazilian interbank market
NASA Astrophysics Data System (ADS)
Souza, Sergio R. S.; Tabak, Benjamin M.; Silva, Thiago C.; Guerra, Solange M.
2015-08-01
This paper proposes a new way to model and analyze contagion in interbank networks. We use a unique dataset from the Brazilian financial system and include all active financial intermediaries. We show that the contagion chain has a short propagation path. We find that first-round contagion is generated only by banks and that medium-sized banks can generate contagion, which implies that size is not the sole determinant of importance within networks. Most vulnerable financial institutions are not banks. Finally, we compute a lower bound for the financial system expected losses in a 1-year horizon. The results contribute to the development of a financial stability-monitoring toolkit.
Lin, Chuan-Kai; Wang, Sheng-De
2004-11-01
A new autopilot design for bank-to-turn (BTT) missiles is presented. In the design of autopilot, a ridge Gaussian neural network with local learning capability and fewer tuning parameters than Gaussian neural networks is proposed to model the controlled nonlinear systems. We prove that the proposed ridge Gaussian neural network, which can be a universal approximator, equals the expansions of rotated and scaled Gaussian functions. Although ridge Gaussian neural networks can approximate the nonlinear and complex systems accurately, the small approximation errors may affect the tracking performance significantly. Therefore, by employing the Hinfinity control theory, it is easy to attenuate the effects of the approximation errors of the ridge Gaussian neural networks to a prescribed level. Computer simulation results confirm the effectiveness of the proposed ridge Gaussian neural networks-based autopilot with Hinfinity stabilization.
Shareholding relationships in the Euro Area banking market: A network perspective
NASA Astrophysics Data System (ADS)
Pecora, Nicolò; Spelta, Alessandro
2015-09-01
In this paper we analyze the topological properties of the network of the Euro Area banking market network, with the primary aim of assessing the importance of a bank in the financial system with respect to ownership and control of other credit institutions. The network displays power law distributions in both binary and weighted degree metrics indicating a robust yet fragile structure and a direct link between an increase of control diversification and a rise in the market power. Therefore while in good time the network is seemingly robust, in bad times many banks can simultaneously go into distress. This behavior paves the way for Central bank's actions. In particular we investigate whether the Single Supervisory Mechanism introduced by the European Central Banks and based on banks' total asset is a good proxy to quantify their systemic importance. Results indicate that not all the financial institutions with high valued total assets are systemically important but only few of them. Moreover the network structure reveals that control is highly concentrated, with few important shareholders approximately controlling a separate subset of banks.
Why do vulnerability cycles matter in financial networks?
NASA Astrophysics Data System (ADS)
Silva, Thiago Christiano; Tabak, Benjamin Miranda; Guerra, Solange Maria
2017-04-01
We compare two widely employed models that estimate systemic risk: DebtRank and Differential DebtRank. We show that not only network cyclicality but also the average vulnerability of banks are essential concepts that contribute to widening the gap in the systemic risk estimates of both approaches. We find that systemic risk estimates are the same whenever the network has no cycles. However, in case the network presents cyclicality, then we need to inspect the average vulnerability of banks to estimate the underestimation gap. We find that the gap is small regardless of the cyclicality of the network when its average vulnerability is large. In contrast, the observed gap follows a quadratic behavior when the average vulnerability is small or intermediate. We show results using an econometric exercise and draw guidelines both on artificial and real-world financial networks.
Generative adversarial network based telecom fraud detection at the receiving bank.
Zheng, Yu-Jun; Zhou, Xiao-Han; Sheng, Wei-Guo; Xue, Yu; Chen, Sheng-Yong
2018-06-01
Recently telecom fraud has become a serious problem especially in developing countries such as China. At present, it can be very difficult to coordinate different agencies to prevent fraud completely. In this paper we study how to detect large transfers that are sent from victims deceived by fraudsters at the receiving bank. We propose a new generative adversarial network (GAN) based model to calculate for each large transfer a probability that it is fraudulent, such that the bank can take appropriate measures to prevent potential fraudsters to take the money if the probability exceeds a threshold. The inference model uses a deep denoising autoencoder to effectively learn the complex probabilistic relationship among the input features, and employs adversarial training that establishes a minimax game between a discriminator and a generator to accurately discriminate between positive samples and negative samples in the data distribution. We show that the model outperforms a set of well-known classification methods in experiments, and its applications in two commercial banks have reduced losses of about 10 million RMB in twelve weeks and significantly improved their business reputation. Copyright © 2018 Elsevier Ltd. All rights reserved.
Temporal asymmetries in Interbank Market: an empirically grounded Agent-Based Model
NASA Astrophysics Data System (ADS)
Zlatic, Vinko; Popovic, Marko; Abraham, Hrvoje; Caldarelli, Guido; Iori, Giulia
2014-03-01
We analyse the changes in the topology of the structure of the E-mid interbank market in the period from September 1st 1999 to September 1st 2009. We uncover a type of temporal irreversibility in the growth of the largest component of the interbank trading network, which is not common to any of the usual network growth models. Such asymmetry, which is also detected on the growth of the clustering and reciprocity coefficient, reveals that the trading mechanism is driven by different dynamics at the beginning and at the end of the day. We are able to recover the complexity of the system by means of a simple Agent Based Model in which the probability of matching between counter parties depends on a time varying vertex fitness (or attractiveness) describing banks liquidity needs. We show that temporal irreversibility is associated with heterogeneity in the banking system and emerges when the distribution of liquidity shocks across banks is broad. We acknowledge support from FET project FOC-II.
A network model of the interbank market
NASA Astrophysics Data System (ADS)
Li, Shouwei; He, Jianmin; Zhuang, Yaming
2010-12-01
This work introduces a network model of an interbank market based on interbank credit lending relationships. It generates some network features identified through empirical analysis. The critical issue to construct an interbank network is to decide the edges among banks, which is realized in this paper based on the interbank’s degree of trust. Through simulation analysis of the interbank network model, some typical structural features are identified in our interbank network, which are also proved to exist in real interbank networks. They are namely, a low clustering coefficient and a relatively short average path length, community structures, and a two-power-law distribution of out-degree and in-degree.
DebtRank-transparency: Controlling systemic risk in financial networks
Thurner, Stefan; Poledna, Sebastian
2013-01-01
Nodes in a financial network, such as banks, cannot assess the true risks associated with lending to other nodes in the network, unless they have full information on the riskiness of all other nodes. These risks can be estimated by using network metrics (as DebtRank) of the interbank liability network. With a simple agent based model we show that systemic risk in financial networks can be drastically reduced by increasing transparency, i.e. making the DebtRank of individual banks visible to others, and by imposing a rule, that reduces interbank borrowing from systemically risky nodes. This scheme does not reduce the efficiency of the financial network, but fosters a more homogeneous risk-distribution within the system in a self-organized critical way. The reduction of systemic risk is due to a massive reduction of cascading failures in the transparent system. A regulation-policy implementation of the proposed scheme is discussed. PMID:23712454
Bank supervision using the Threshold-Minimum Dominating Set
NASA Astrophysics Data System (ADS)
Gogas, Periklis; Papadimitriou, Theophilos; Matthaiou, Maria-Artemis
2016-06-01
An optimized, healthy and stable banking system resilient to financial crises is a prerequisite for sustainable growth. Minimization of (a) the associated systemic risk and (b) the propagation of contagion in the case of a banking crisis are necessary conditions to achieve this goal. Central Banks are in charge of this significant undertaking via a close and detailed monitoring of the banking network. In this paper, we propose the use of an auxiliary supervision/monitoring system that is both efficient with respect to the required resources and can promptly identify a set of banks that are in distress so that immediate and appropriate action can be taken by the supervising authority. We use the network defined by the interrelations between banking institutions employing tools from Complex Networks theory for an efficient management of the entire banking network. In doing so, we introduce the Threshold Minimum Dominating Set (T-MDS). The T-MDS is used to identify the smallest and most efficient subset of banks that can be used as (a) sensors of distress of a manifesting banking crisis and (b) provide a path of possible contagion. We propose the use of this method as a supplementary monitoring tool in the arsenal of a Central Bank. Our dataset includes the 122 largest American banks in terms of their interbank loans. The empirical results show that when the T-MDS methodology is applied, we can have an efficient supervision of the whole banking network, by monitoring just a subset of 47 banks.
Bank-firm credit network in Japan: an analysis of a bipartite network.
Marotta, Luca; Miccichè, Salvatore; Fujiwara, Yoshi; Iyetomi, Hiroshi; Aoyama, Hideaki; Gallegati, Mauro; Mantegna, Rosario N
2015-01-01
We investigate the networked nature of the Japanese credit market. Our investigation is performed with tools of network science. In our investigation we perform community detection with an algorithm which is identifying communities composed of both banks and firms. We show that the communities obtained by directly working on the bipartite network carry information about the networked nature of the Japanese credit market. Our analysis is performed for each calendar year during the time period from 1980 to 2011. To investigate the time evolution of the networked structure of the credit market we introduce a new statistical method to track the time evolution of detected communities. We then characterize the time evolution of communities by detecting for each time evolving set of communities the over-expression of attributes of firms and banks. Specifically, we consider as attributes the economic sector and the geographical location of firms and the type of banks. In our 32-year-long analysis we detect a persistence of the over-expression of attributes of communities of banks and firms together with a slow dynamic of changes from some specific attributes to new ones. Our empirical observations show that the credit market in Japan is a networked market where the type of banks, geographical location of firms and banks, and economic sector of the firm play a role in shaping the credit relationships between banks and firms.
Bank-Firm Credit Network in Japan: An Analysis of a Bipartite Network
Marotta, Luca; Miccichè, Salvatore; Fujiwara, Yoshi; Iyetomi, Hiroshi; Aoyama, Hideaki; Gallegati, Mauro; Mantegna, Rosario N.
2015-01-01
We investigate the networked nature of the Japanese credit market. Our investigation is performed with tools of network science. In our investigation we perform community detection with an algorithm which is identifying communities composed of both banks and firms. We show that the communities obtained by directly working on the bipartite network carry information about the networked nature of the Japanese credit market. Our analysis is performed for each calendar year during the time period from 1980 to 2011. To investigate the time evolution of the networked structure of the credit market we introduce a new statistical method to track the time evolution of detected communities. We then characterize the time evolution of communities by detecting for each time evolving set of communities the over-expression of attributes of firms and banks. Specifically, we consider as attributes the economic sector and the geographical location of firms and the type of banks. In our 32-year-long analysis we detect a persistence of the over-expression of attributes of communities of banks and firms together with a slow dynamic of changes from some specific attributes to new ones. Our empirical observations show that the credit market in Japan is a networked market where the type of banks, geographical location of firms and banks, and economic sector of the firm play a role in shaping the credit relationships between banks and firms. PMID:25933413
Connectionist agent-based learning in bank-run decision making
NASA Astrophysics Data System (ADS)
Huang, Weihong; Huang, Qiao
2018-05-01
It is of utter importance for the policy makers, bankers, and investors to thoroughly understand the probability of bank-run (PBR) which was often neglected in the classical models. Bank-run is not merely due to miscoordination (Diamond and Dybvig, 1983) or deterioration of bank assets (Allen and Gale, 1998) but various factors. This paper presents the simulation results of the nonlinear dynamic probabilities of bank runs based on the global games approach, with the distinct assumption that heterogenous agents hold highly correlated but unidentical beliefs about the true payoffs. The specific technique used in the simulation is to let agents have an integrated cognitive-affective network. It is observed that, even when the economy is good, agents are significantly affected by the cognitive-affective network to react to bad news which might lead to bank-run. Both the rise of the late payoffs, R, and the early payoffs, r, will decrease the effect of the affective process. The increased risk sharing might or might not increase PBR, and the increase in late payoff is beneficial for preventing the bank run. This paper is one of the pioneers that links agent-based computational economics and behavioral economics.
Community Structure of a Bank-Firm Credit Network in Japan
NASA Astrophysics Data System (ADS)
Iyetomi, Hiroshi; Matsuura, Yuki
2014-03-01
We study temporal change of community structure in a Japanese credit network formed by banks and listed firms through their financial relations over the last 30 years. The credit connectedness is regarded as a potenital source of systemic risk. Our network is a bipartite graph consisting of two species of nodes connected with bidirectional links. The direction of links is identified with that of risk flows and their weights are relative credit/loan with respect to the targets. In a partial credit network obtained only with the links pointing from firms toward banks, the city banks forms one major community in most of the time period to share risk when firms go wrong. On the other hand, a partial network only with the links from banks toward firms is decomposed into communities of similar size each of which has its own city bank, reflecting the main-bank system in Japan. Finally we take overlapping parts of the two community sets to find cores of the risk concentration in the credit network. This work was supported by JSPS KAKENHI Grant Number 22300080.
The role of banks in the Brazilian interbank market: Does bank type matter?
NASA Astrophysics Data System (ADS)
Cajueiro, Daniel O.; Tabak, Benjamin M.
2008-12-01
This paper analyzes the Brazilian interbank network structure using a complex network-based approach. Results suggest a weak evidence of community structure, high heterogeneity of the network and that this market is characterized by money centers having exposures to many banks. Furthermore, we go beyond the structure of the network using information about the characteristics of the nodes and a non-parametric test in order to understand the role of the banks in the interbanking market.
Cost of umbilical cord blood units released for transplantation.
Sirchia, G; Rebulla, P; Tibaldi, S; Lecchi, L
1999-06-01
A large number of institutions have started programs banking umbilical cord blood (UCB) for allogeneic unrelated-donor and related-donor transplantation. However, limited information is available on the financial issues surrounding these activities. The aim of this study was to determine the fee per UCB unit released for transplantation that would allow cost recovery after 10 years. Three organizational models were considered suitable to provide units for five UCB transplants per 1 million population per year, a figure that would translate into an annual need for 280 units in Italy. Models A, B, and C included, respectively, seven networked banks, each with an inventory of 1,500 units; two networked banks, each with an inventory of 5,000 units; and one bank with an inventory of 10,000 units. It was estimated that it would take 3 years to develop the cryopreserved inventory and that approximately 3 percent of the inventory could be released and replaced each year during the 7-year interval between the fourth and tenth years of activity. The data on the costs of labor, reagents and diagnostics, disposables, depreciation and maintenance, laboratory tests, and overhead, as well as the operational data used in the analysis were collected at the Milano Cord Blood Bank in 1996. Fees of US $15,061, $12,666, and $11,602 per unit released during the fourth through the tenth years of activity allow full cost recovery (principle and interest) under Models A, B, and C, respectively. Although UCB procurement costs compare favorably with those of other hematopoietic cell sources, these results and the current fee of US $15,300 used in some institutions show that UCB is an expensive resource. Therefore, judicious planning of banking programs with high quality standards is necessary to prevent economic losses. The advantages of lower fees associated with the centralized banking approach of Model C should be balanced with the more flexible collection offered by Model A.
Weighted Networks at the Polish Market
NASA Astrophysics Data System (ADS)
Chmiel, A. M.; Sienkiewicz, J.; Suchecki, K.; Hołyst, J. A.
During the last few years various models of networks [1,2] have become a powerful tool for analysis of complex systems in such distant fields as Internet [3], biology [4], social groups [5], ecology [6] and public transport [7]. Modeling behavior of economical agents is a challenging issue that has also been studied from a network point of view. The examples of such studies are models of financial networks [8], supply chains [9, 10], production networks [11], investment networks [12] or collective bank bankrupcies [13, 14]. Relations between different companies have been already analyzed using several methods: as networks of shareholders [15], networks of correlations between stock prices [16] or networks of board directors [17]. In several cases scaling laws for network characteristics have been observed.
Investigation on Law and Economics Based on Complex Network and Time Series Analysis.
Yang, Jian; Qu, Zhao; Chang, Hui
2015-01-01
The research focuses on the cooperative relationship and the strategy tendency among three mutually interactive parties in financing: small enterprises, commercial banks and micro-credit companies. Complex network theory and time series analysis were applied to figure out the quantitative evidence. Moreover, this paper built up a fundamental model describing the particular interaction among them through evolutionary game. Combining the results of data analysis and current situation, it is justifiable to put forward reasonable legislative recommendations for regulations on lending activities among small enterprises, commercial banks and micro-credit companies. The approach in this research provides a framework for constructing mathematical models and applying econometrics and evolutionary game in the issue of corporation financing.
NASA Astrophysics Data System (ADS)
Zhu, Lijuan; Liu, Jingao
2013-07-01
This paper describes a network identity authentication protocol of bank account system based on fingerprint identification and mixed encryption. This protocol can provide every bank user a safe and effective way to manage his own bank account, and also can effectively prevent the hacker attacks and bank clerk crime, so that it is absolute to guarantee the legitimate rights and interests of bank users.
The dialog between health and foreign policy in Brazilian cooperation in human milk banks.
Pittas, Tiago Mocellin; Dri, Clarissa Franzoi
2017-07-01
Mother's milk is the primary source of nourishment in early infancy. When this source is unavailable, secondary sources may be used, such as human milk banks. The first milk bank in Brazil was created in 1943, and they have been used ever since. A national model was developed through a number of phases, culminating in the Brazilian Network of Human Milk Banks. This gave rise to a number of international cooperation projects, with the Brazilian model particularly relevant for developing nations. The main objective of this analysis is to understand what drives Brazil to promote milk banks internationally. To do this we tried to understand the relationship between health and foreign policy, expressed here as soft power, as here the two areas dialog with one another. The results include gains in both areas and the affirmation of health as a central goal of the national interest cluster of the case.
Time Series Analysis of Networks: Evaluating the Effectiveness of Sanctions on Iran
2013-03-27
quantitatively model the evolution and “learning” of this Iranian Network? This was the question posed to three summer apprentices at the Network Science...designated them Peripheral Players. For example, in this model the Nuclear Fuel and Procurement Company is a Broker and Bank Melli is a Peripheral Player...resource/us-sanction> [3] Al Arabiya, “Sanctions against Iran stymied efforts to produce ballistic missles : report,” Al Arabiya News, 30 July 2012. 30
Network versus portfolio structure in financial systems
NASA Astrophysics Data System (ADS)
Kobayashi, Teruyoshi
2013-10-01
The question of how to stabilize financial systems has attracted considerable attention since the global financial crisis of 2007-2009. Recently, Beale et al. [Proc. Natl. Acad. Sci. USA 108, 12647 (2011)] demonstrated that higher portfolio diversity among banks would reduce systemic risk by decreasing the risk of simultaneous defaults at the expense of a higher likelihood of individual defaults. In practice, however, a bank default has an externality in that it undermines other banks’ balance sheets. This paper explores how each of these different sources of risk, simultaneity risk and externality, contributes to systemic risk. The results show that the allocation of external assets that minimizes systemic risk varies with the topology of the financial network as long as asset returns have negative correlations. In the model, a well-known centrality measure, PageRank, reflects an appropriately defined “infectiveness” of a bank. An important result is that the most infective bank needs not always to be the safest bank. Under certain circumstances, the most infective node should act as a firewall to prevent large-scale collective defaults. The introduction of a counteractive portfolio structure will significantly reduce systemic risk.
Investigation on Law and Economics Based on Complex Network and Time Series Analysis
Yang, Jian; Qu, Zhao; Chang, Hui
2015-01-01
The research focuses on the cooperative relationship and the strategy tendency among three mutually interactive parties in financing: small enterprises, commercial banks and micro-credit companies. Complex network theory and time series analysis were applied to figure out the quantitative evidence. Moreover, this paper built up a fundamental model describing the particular interaction among them through evolutionary game. Combining the results of data analysis and current situation, it is justifiable to put forward reasonable legislative recommendations for regulations on lending activities among small enterprises, commercial banks and micro-credit companies. The approach in this research provides a framework for constructing mathematical models and applying econometrics and evolutionary game in the issue of corporation financing. PMID:26076460
NASA Astrophysics Data System (ADS)
Hong, Jae Weon; Hong, Won Eui; Kwak, Yoon Sik
This study attempts to shed light on the factors that influence the locations of bank branches in establishing a bank's distribution network from the angle of the network analysis. Whereas the previous studies analyzed the locations of bank branches on the basis of their geographical characteristics and image, the significance of this study rests upon the fact that it endeavors to explore the location factors from a new perspective of the movement path of financial customers. For this analysis, the network between administrative districts, which form the fundamental unit of a location, was analyzed based on the financial transactional data. The important findings of this study are as follows. First, in conformity with the previous studies, the income level, the spending level, the number of businesses, and the size of workforce in the pertinent region were all found to influence the size of a bank's market. Second, the centrality index extracted from the analysis of the network was found to have a significant effect on the locations of bank branches. In particular, the degree centrality was revealed to have a greater influence on the size of a bank's market than does the closeness centrality. Such results of this study clearly suggest the needs for a new approach from the perspective of network in furtherance of other factors that have been considered important in the previous studies of the distribution network strategies.
Cord blood banking in France: reorganising the national network.
Katz, Gregory; Mills, Antonia
2010-06-01
Paradoxically, France is one of the leading exporters of cord blood units worldwide, but ranks only 17th in terms of cord blood units per inhabitant, and imports 64% of cord blood grafts to meet national transplantation demands. With three operational banks in 2008, the French allogeneic cord blood network is now entering an important phase of development with the creation of seven new banks collecting from local clusters of maternities. Although the French network of public banks is demonstrating a strong commitment to reorganise and scale up its activities, the revision of France's bioethics law in 2010 has sparked a debate concerning the legalisation of commercial autologous banking. The paper discusses key elements for a comprehensive national plan that would strengthen the allogeneic banking network through which France could meet its national medical needs and guarantee equal access to healthcare. Copyright 2010. Published by Elsevier Ltd.
Interbank lending, network structure and default risk contagion
NASA Astrophysics Data System (ADS)
Zhang, Minghui; He, Jianmin; Li, Shouwei
2018-03-01
This paper studies the default risk contagion in banking systems based on a dynamic network model with two different kinds of lenders' selecting mechanisms, namely, endogenous selecting (ES) and random selecting (RS). From sensitivity analysis, we find that higher risk premium, lower initial proportion of net assets, higher liquid assets threshold, larger size of liquidity shocks, higher proportion of the initial investments and higher Central Bank interest rates all lead to severer default risk contagion. Moreover, the autocorrelation of deposits and lenders' selecting probability have non-monotonic effects on the default risk contagion, and the effects differ under two mechanisms. Generally, the default risk contagion is much severer under RS mechanism than that of ES, because the multi-money-center structure generated by ES mechanism enables borrowers to borrow from more liquid banks with lower interest rates.
[The present and future of brain bank in Japan].
Murayama, Shigeo; Saito, Yuko
2010-10-01
Brain Bank was established in 1960's in the United States and Europe as a basic infrastructure for human neuroscience research. In Japan,institutional collections are a substitute to brain banks and these function as the main repository of postmortem brains; Niigata University has one such center. The brain bank movement officially started in 2001 with the establishment of the Brain Bank for Aging Research (BBAR) in Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology. The Research Resource Network as well as the Brain Donation System of patients with Parkinson disease started in the National Center for Neurology and Psychiatry. A brain bank specially for psychiatric disorders was also established in Fukushima University. The Japanese Society of Neuropathology recognized the establishment of brain bank system as one of its major goals and the Brain Bank Committee worked as a task force. In 2010,the Japanese Brain Bank Network for Neuroscience Research (JBBNNR) was funded by Comprehensive Brain Science Network from the Ministry of Education,Culture,Sports,Science and Technology of Japan. BBAR was also appointed as the pathology core of Japanese Alzheimer Disease Neuroimage Initiative (JADNI) this year. The key features of JBBNNR are as follows. (1) The brain bank was approved by the institutional review board with the consensus of clinical and pathological branches of the neuroscience departments in the institute. (2) The brain bank accepts brain donation and maintains a clinical longitudinal follow-up record of the donor. (3) The brain bank resource is quality controlled and its information is shared by researchers. (4) The brain bank provides useful resources to researchers. Currently,JBBNNR includes Mihara Memorial Hospital Brain Bank and Fukushimura Brain Bank in addition to BBAR and it aims to expand the network for the creation of a future Japan Brain Net.
Neuromorphic photonic networks using silicon photonic weight banks.
Tait, Alexander N; de Lima, Thomas Ferreira; Zhou, Ellen; Wu, Allie X; Nahmias, Mitchell A; Shastri, Bhavin J; Prucnal, Paul R
2017-08-07
Photonic systems for high-performance information processing have attracted renewed interest. Neuromorphic silicon photonics has the potential to integrate processing functions that vastly exceed the capabilities of electronics. We report first observations of a recurrent silicon photonic neural network, in which connections are configured by microring weight banks. A mathematical isomorphism between the silicon photonic circuit and a continuous neural network model is demonstrated through dynamical bifurcation analysis. Exploiting this isomorphism, a simulated 24-node silicon photonic neural network is programmed using "neural compiler" to solve a differential system emulation task. A 294-fold acceleration against a conventional benchmark is predicted. We also propose and derive power consumption analysis for modulator-class neurons that, as opposed to laser-class neurons, are compatible with silicon photonic platforms. At increased scale, Neuromorphic silicon photonics could access new regimes of ultrafast information processing for radio, control, and scientific computing.
Modeling sediment transport after ditch network maintenance of a forested peatland
NASA Astrophysics Data System (ADS)
Haahti, K.; Marttila, H.; Warsta, L.; Kokkonen, T.; Finér, L.; Koivusalo, H.
2016-11-01
Elevated suspended sediment (SS) loads released from peatlands after drainage operations and the resulting negative effect on the ecological status of the receiving water bodies have been widely recognized. Understanding the processes controlling erosion and sediment transport within the ditch network forms a prerequisite for adequate sediment control. While numerous experimental studies have been reported in this field, model based assessments are rare. This study presents a modeling approach to investigate sediment transport in a peatland ditch network. The transport model describes bed erosion, rain-induced bank erosion, floc deposition, and consolidation of the bed. Coupled to a distributed hydrological model, sediment transport was simulated in a 5.2 ha forestry-drained peatland catchment for 2 years after ditch cleaning. Comparing simulation results to measured SS concentrations suggested that the loose peat material, produced during excavation, contributed markedly to elevated SS concentrations immediately after ditch cleaning. Both snowmelt and summer rainstorms contributed critically to annual loads. Springtime peat erosion during snowmelt was driven by ditch flow whereas during summer rainfalls, bank erosion by raindrop impact was identified as an important process. Relating modeling results to observed spatial topographic changes in the ditch network was challenging and the results were difficult to verify. Nevertheless, the model has potential to identify risk areas for erosion. The results demonstrate that modeling is effective in separating the importance of different processes and complements pure experimental approaches. Modeling results can aid planning and designing efficient sediment control measures and guide the focus of experimental studies.
Lee, J.K.; Bennett, C. S.
1981-01-01
A two-dimensional finite element surface water model was used to study the hydraulic impact of the proposed Interstate Route 326 crossing of the Congaree River near Columbia, SC. The finite element model was assessed as a potential operational tool for analyzing complex highway crossings and other modifications of river flood plains. Infrared aerial photography was used to define regions of homogeneous roughness in the flood plain. Finite element networks approximating flood plain topography were designed using elements of three roughness types. High water marks established during an 8-yr flood that occurred in October 1976 were used to calibrate the model. The maximum flood of record, an approximately 100-yr flood that occurred in August 1908, was modeled in three cases: dikes on the right bank, dikes on the left bank, and dikes on both banks. In each of the three cases, simulations were performed both without and with the proposed highway embankments in place. Detailed information was obtained about backwater effects upstream from the proposed highway embankments, changes in flow distribution resulting from the embankments, and local velocities in the bridge openings. On the basis of results from the model study, the South Carolina Department of Highways and Public Transportation changed the design of several bridge openings. A simulation incorporating the new design for the case with dikes on the left bank indicated that both velocities in the bridge openings and backwater were reduced. A major problem in applying the model was the difficulty in predicting the network detail necessary to avoid local errors caused by roughness discontinuities and large depth gradients. (Lantz-PTT)
Udrescu, Lucreţia; Sbârcea, Laura; Topîrceanu, Alexandru; Iovanovici, Alexandru; Kurunczi, Ludovic; Bogdan, Paul; Udrescu, Mihai
2016-09-07
Analyzing drug-drug interactions may unravel previously unknown drug action patterns, leading to the development of new drug discovery tools. We present a new approach to analyzing drug-drug interaction networks, based on clustering and topological community detection techniques that are specific to complex network science. Our methodology uncovers functional drug categories along with the intricate relationships between them. Using modularity-based and energy-model layout community detection algorithms, we link the network clusters to 9 relevant pharmacological properties. Out of the 1141 drugs from the DrugBank 4.1 database, our extensive literature survey and cross-checking with other databases such as Drugs.com, RxList, and DrugBank 4.3 confirm the predicted properties for 85% of the drugs. As such, we argue that network analysis offers a high-level grasp on a wide area of pharmacological aspects, indicating possible unaccounted interactions and missing pharmacological properties that can lead to drug repositioning for the 15% drugs which seem to be inconsistent with the predicted property. Also, by using network centralities, we can rank drugs according to their interaction potential for both simple and complex multi-pathology therapies. Moreover, our clustering approach can be extended for applications such as analyzing drug-target interactions or phenotyping patients in personalized medicine applications.
Udrescu, Lucreţia; Sbârcea, Laura; Topîrceanu, Alexandru; Iovanovici, Alexandru; Kurunczi, Ludovic; Bogdan, Paul; Udrescu, Mihai
2016-01-01
Analyzing drug-drug interactions may unravel previously unknown drug action patterns, leading to the development of new drug discovery tools. We present a new approach to analyzing drug-drug interaction networks, based on clustering and topological community detection techniques that are specific to complex network science. Our methodology uncovers functional drug categories along with the intricate relationships between them. Using modularity-based and energy-model layout community detection algorithms, we link the network clusters to 9 relevant pharmacological properties. Out of the 1141 drugs from the DrugBank 4.1 database, our extensive literature survey and cross-checking with other databases such as Drugs.com, RxList, and DrugBank 4.3 confirm the predicted properties for 85% of the drugs. As such, we argue that network analysis offers a high-level grasp on a wide area of pharmacological aspects, indicating possible unaccounted interactions and missing pharmacological properties that can lead to drug repositioning for the 15% drugs which seem to be inconsistent with the predicted property. Also, by using network centralities, we can rank drugs according to their interaction potential for both simple and complex multi-pathology therapies. Moreover, our clustering approach can be extended for applications such as analyzing drug-target interactions or phenotyping patients in personalized medicine applications. PMID:27599720
Model analysis of the link between interest rates and crashes
NASA Astrophysics Data System (ADS)
Broga, Kristijonas M.; Viegas, Eduardo; Jensen, Henrik Jeldtoft
2016-09-01
We analyse the effect of distinct levels of interest rates on the stability of the financial network under our modelling framework. We demonstrate that banking failures are likely to emerge early on under sustained high interest rates, and at much later stage-with higher probability-under a sustained low interest rate scenario. Moreover, we demonstrate that those bank failures are of a different nature: high interest rates tend to result in significantly more bankruptcies associated to credit losses whereas lack of liquidity tends to be the primary cause of failures under lower rates.
Ohkawara, H; Fukushima, N; Kitagawa, T; Ito, T; Masutani, Y; Sawa, Y
2010-01-01
Although organ procurement has been regulated by The Organ Transplantation Law (brain-dead donors since 1997, donors after cardiac death since 1979), there has been no law or governmental procurement network (except for cornea) in Japan. Since the late 1980s, some university hospitals have developed original banks. Finally, in 2001 guidelines for tissue procurement were established by The Japanese Society of Tissue Transplantation and Japan Tissue Transplant Network (JTTN) to coordinate tissue harvesting. Five tissue banks were joined to the tissue transplant network (skin in one, heart valves in two, and bone in two). As the number of tissue banks is small, each bank cooperates on procurement, but cannot cover the entire country. With regard to skin transplantation, only one skin bank-The Japan Skin Bank Network (JSBN), which is located in Tokyo-has organized skin procurement. Therefore, it has been difficult to procure skin in areas distant from Tokyo, especially around Osaka. In order to improve such a situation, a tissue bank collaborating with the JSBN was established at The Medical Center for Translational Research (MTR), Osaka University Hospital in April 2008. The bank has played a role in skin procurement center in western Japan and supported procurement and preservation at the time of the skin procurement. Between April 2008 and September 2009, the bank participated in eight tissue procurements in the western area. In the future, the bank is planning to procure and preserve pancreatic islets and bones. Moreover, there is a plan to set up an induced pluripotent stem cells center and stem cell bank in MTR. This tissue bank may play a role to increase tissue procurement in Japan, especially in the western area. .
78 FR 78513 - Bank Secrecy Act Advisory Group; Solicitation of Application for Membership
Federal Register 2010, 2011, 2012, 2013, 2014
2013-12-26
... DEPARTMENT OF THE TREASURY Financial Crimes Enforcement Network Bank Secrecy Act Advisory Group; Solicitation of Application for Membership AGENCY: Financial Crimes Enforcement Network (``FinCEN''), Treasury... institutions and trade groups for membership on the Bank Secrecy Act Advisory Group. New members will be...
Automated Structure Annotation and Curation for MassBank: Potential and Pitfalls
The European MassBank server (www.massbank.eu) was founded in 2012 by the NORMAN Network (www.norman-network.net) to provide open access to mass spectra of substances of environmental interest contributed by NORMAN members. The automated workflow RMassBank was developed as a part...
NASA Technical Reports Server (NTRS)
1982-01-01
Barnett Banks of Florida, Inc. operates 150 banking offices in 80 Florida cities. Banking offices have computerized systems for processing deposits or withdrawals in checking/savings accounts, and for handling commercial and installment loan transactions. In developing a network engineering design for the terminals used in record processing, an affiliate, Barnett Computing Company, used COSMIC's STATCOM program. This program provided a reliable network design tool and avoided the cost of developing new software.
Systemic Losses Due to Counterparty Risk in a Stylized Banking System
NASA Astrophysics Data System (ADS)
Birch, Annika; Aste, Tomaso
2014-09-01
We report a study of a stylized banking cascade model investigating systemic risk caused by counterparty failure using liabilities and assets to define banks' balance sheet. In our stylized system, banks can be in two states: normally operating or distressed and the state of a bank changes from normally operating to distressed whenever its liabilities are larger than the banks' assets. The banks are connected through an interbank lending network and, whenever a bank is distressed, its creditor cannot expect the loan from the distressed bank to be repaid, potentially becoming distressed themselves. We solve the problem analytically for a homogeneous system and test the robustness and generality of the results with simulations of more complex systems. We investigate the parameter space and the corresponding distribution of operating banks mapping the conditions under which the whole system is stable or unstable. This allows us to determine how financial stability of a banking system is influenced by regulatory decisions, such as leverage; we discuss the effect of central bank actions, such as quantitative easing and we determine the cost of rescuing a distressed banking system using re-capitalisation. Finally, we estimate the stability of the UK and US banking systems comparing the years 2007 and 2012 by using real data.
Systemic risk and heterogeneous leverage in banking networks
NASA Astrophysics Data System (ADS)
Kuzubaş, Tolga Umut; Saltoğlu, Burak; Sever, Can
2016-11-01
This study probes systemic risk implications of leverage heterogeneity in banking networks. We show that the presence of heterogeneous leverages drastically changes the systemic effects of defaults and the nature of the contagion in interbank markets. Using financial leverage data from the US banking system, through simulations, we analyze the systemic significance of different types of borrowers, the evolution of the network, the consequences of interbank market size and the impact of market segmentation. Our study is related to the recent Basel III regulations on systemic risk and the treatment of the Global Systemically Important Banks (GSIBs). We also assess the extent to which the recent capital surcharges on GSIBs may curb financial fragility. We show the effectiveness of surcharge policy for the most-levered banks vis-a-vis uniform capital injection.
Methodology for Designing Operational Banking Risks Monitoring System
NASA Astrophysics Data System (ADS)
Kostjunina, T. N.
2018-05-01
The research looks at principles of designing an information system for monitoring operational banking risks. A proposed design methodology enables one to automate processes of collecting data on information security incidents in the banking network, serving as the basis for an integrated approach to the creation of an operational risk management system. The system can operate remotely ensuring tracking and forecasting of various operational events in the bank network. A structure of a content management system is described.
12 CFR 235.7 - Limitations on payment card restrictions.
Code of Federal Regulations, 2014 CFR
2014-01-01
... Section 235.7 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL... restrictions. (a) Prohibition on network exclusivity—(1) In general. An issuer or payment card network shall not directly or through any agent, processor, or licensed member of a payment card network, by...
12 CFR 235.7 - Limitations on payment card restrictions.
Code of Federal Regulations, 2013 CFR
2013-01-01
... Section 235.7 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL... restrictions. (a) Prohibition on network exclusivity—(1) In general. An issuer or payment card network shall not directly or through any agent, processor, or licensed member of a payment card network, by...
12 CFR 235.7 - Limitations on payment card restrictions.
Code of Federal Regulations, 2012 CFR
2012-01-01
... Section 235.7 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL... restrictions. (a) Prohibition on network exclusivity—(1) In general. An issuer or payment card network shall not directly or through any agent, processor, or licensed member of a payment card network, by...
The UK DNA banking network: a "fair access" biobank.
Yuille, Martin; Dixon, Katherine; Platt, Andrew; Pullum, Simon; Lewis, David; Hall, Alistair; Ollier, William
2010-08-01
The UK DNA Banking Network (UDBN) is a secondary biobank: it aggregates and manages resources (samples and data) originated by others. The network comprises, on the one hand, investigator groups led by clinicians each with a distinct disease specialism and, on the other hand, a research infrastructure to manage samples and data. The infrastructure addresses the problem of providing secure quality-assured accrual, storage, replenishment and distribution capacities for samples and of facilitating access to DNA aliquots and data for new peer-reviewed studies in genetic epidemiology. 'Fair access' principles and practices have been pragmatically developed that, unlike open access policies in this area, are not cumbersome but, rather, are fit for the purpose of expediting new study designs and their implementation. UDBN has so far distributed >60,000 samples for major genotyping studies yielding >10 billion genotypes. It provides a working model that can inform progress in biobanking nationally, across Europe and internationally.
20 kA PFN capacitor bank with solid-state switching. [pulse forming network for plasma studies
NASA Technical Reports Server (NTRS)
Posta, S. J.; Michels, C. J.
1973-01-01
A compact high-current pulse-forming network capacitor bank using paralleled silicon controlled rectifiers as switches is described. The maximum charging voltage of the bank is 1kV and maximum load current is 20 kA. The necessary switch equalization criteria and performance with dummy load and an arc plasma generator are described.
A Community Information Network.
ERIC Educational Resources Information Center
Consumers' Association of Canada, Ottawa (Ontario).
The possibility of creating in Canada a non-profit community information network (a set of linked data banks containing information for use by the general public) should be explored. A network to link together a set of data banks containing information for general public use would have the following merits: (1) By its effect on household…
Eggert, Karla; Wüllner, Ullrich; Antony, Gisela; Gasser, Thomas; Janetzky, Bernd; Klein, Christine; Schöls, Ludger; Oertel, Wolfgang
2007-04-15
Parkinson's disease (PD) is the second most common neurodegenerative disease. Although 10 gene loci have been identified to cause a Parkinsonian syndrome, these loci account only for a minority of PD patients. Large, systematic research programs are required to collect, store, and analyze DNA samples and clinical information to support further discovery of additional genetic components of PD or other movement disorders. Such programs facilitate research into the relationship between genotype and phenotype. The German Competence Network on Parkinson's disease (CNP) initiated the Gene Bank Parkinson's Disease Germany (GEPARD), providing an administrative and scientific infrastructure for the storage of DNA and clinical data that are electronically accessible and protective of patient rights. In this article, we offer guidance on how to establish a framework for a clinical genetic data and DNA bank, and describe GEPARD as a model that may be useful to other local, national, and international research groups developing similar programs.
Link performance model for filter bank based multicarrier systems
NASA Astrophysics Data System (ADS)
Petrov, Dmitry; Oborina, Alexandra; Giupponi, Lorenza; Stitz, Tobias Hidalgo
2014-12-01
This paper presents a complete link level abstraction model for link quality estimation on the system level of filter bank multicarrier (FBMC)-based networks. The application of mean mutual information per coded bit (MMIB) approach is validated for the FBMC systems. The considered quality measure of the resource element for the FBMC transmission is the received signal-to-noise-plus-distortion ratio (SNDR). Simulation results of the proposed link abstraction model show that the proposed approach is capable of estimating the block error rate (BLER) accurately, even when the signal is propagated through the channels with deep and frequent fades, as it is the case for the 3GPP Hilly Terrain (3GPP-HT) and Enhanced Typical Urban (ETU) models. The FBMC-related results of link level simulations are compared with cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) analogs. Simulation results are also validated through the comparison to reference publicly available results. Finally, the steps of link level abstraction algorithm for FBMC are formulated and its application for system level simulation of a professional mobile radio (PMR) network is discussed.
Effective network inference through multivariate information transfer estimation
NASA Astrophysics Data System (ADS)
Dahlqvist, Carl-Henrik; Gnabo, Jean-Yves
2018-06-01
Network representation has steadily gained in popularity over the past decades. In many disciplines such as finance, genetics, neuroscience or human travel to cite a few, the network may not directly be observable and needs to be inferred from time-series data, leading to the issue of separating direct interactions between two entities forming the network from indirect interactions coming through its remaining part. Drawing on recent contributions proposing strategies to deal with this problem such as the so-called "global silencing" approach of Barzel and Barabasi or "network deconvolution" of Feizi et al. (2013), we propose a novel methodology to infer an effective network structure from multivariate conditional information transfers. Its core principal is to test the information transfer between two nodes through a step-wise approach by conditioning the transfer for each pair on a specific set of relevant nodes as identified by our algorithm from the rest of the network. The methodology is model free and can be applied to high-dimensional networks with both inter-lag and intra-lag relationships. It outperforms state-of-the-art approaches for eliminating the redundancies and more generally retrieving simulated artificial networks in our Monte-Carlo experiments. We apply the method to stock market data at different frequencies (15 min, 1 h, 1 day) to retrieve the network of US largest financial institutions and then document how bank's centrality measurements relate to bank's systemic vulnerability.
A petabyte size electronic library using the N-Gram memory engine
NASA Technical Reports Server (NTRS)
Bugajski, Joseph M.
1993-01-01
A model library containing petabytes of data is proposed by Triada, Ltd., Ann Arbor, Michigan. The library uses the newly patented N-Gram Memory Engine (Neurex), for storage, compression, and retrieval. Neurex splits data into two parts: a hierarchical network of associative memories that store 'information' from data and a permutation operator that preserves sequence. Neurex is expected to offer four advantages in mass storage systems. Neurex representations are dense, fully reversible, hence less expensive to store. Neurex becomes exponentially more stable with increasing data flow; thus its contents and the inverting algorithm may be mass produced for low cost distribution. Only a small permutation operator would be recalled from the library to recover data. Neurex may be enhanced to recall patterns using a partial pattern. Neurex nodes are measures of their pattern. Researchers might use nodes in statistical models to avoid costly sorting and counting procedures. Neurex subsumes a theory of learning and memory that the author believes extends information theory. Its first axiom is a symmetry principle: learning creates memory and memory evidences learning. The theory treats an information store that evolves from a null state to stationarity. A Neurex extracts information data without a priori knowledge; i.e., unlike neural networks, neither feedback nor training is required. The model consists of an energetically conservative field of uniformly distributed events with variable spatial and temporal scale, and an observer walking randomly through this field. A bank of band limited transducers (an 'eye'), each transducer in a bank being tuned to a sub-band, outputs signals upon registering events. Output signals are 'observed' by another transducer bank (a mid-brain), except the band limit of the second bank is narrower than the band limit of the first bank. The banks are arrayed as n 'levels' or 'time domains, td.' The banks are the hierarchical network (a cortex) and transducers are (associative) memories. A model Neurex was built and studied. Data were 50 MB to 10 GB samples of text, data base, and images: black/white, grey scale, and high resolution in several spectral bands. Memories at td, S(m(sub td)), were plotted against outputs of memories at td-1. S(m(sub td)) was Boltzman distributed, and memory frequencies exhibited self-organized criticality (SOC); i.e., 'l/f(sup beta)' after long exposures to data. Whereas output signals from level n may be encoded with B(sub output) = O(-log(2)f(sup beta)) bits, and input data encoded with B(sub input) = O((S(td)/S(td-1))(sup n)), B(sup output)/B(sub input) is much less than 1 always, the Neurex determines a canonical code for data and it is a lossless data compressor. Further tests are underway to confirm these results with more data types and larger samples.
Systemic risk in banking ecosystems.
Haldane, Andrew G; May, Robert M
2011-01-20
In the run-up to the recent financial crisis, an increasingly elaborate set of financial instruments emerged, intended to optimize returns to individual institutions with seemingly minimal risk. Essentially no attention was given to their possible effects on the stability of the system as a whole. Drawing analogies with the dynamics of ecological food webs and with networks within which infectious diseases spread, we explore the interplay between complexity and stability in deliberately simplified models of financial networks. We suggest some policy lessons that can be drawn from such models, with the explicit aim of minimizing systemic risk.
Connectivity and propagule sources composition drive ditch plant metacommunity structure
NASA Astrophysics Data System (ADS)
Favre-Bac, Lisa; Ernoult, Aude; Mony, Cendrine; Rantier, Yann; Nabucet, Jean; Burel, Françoise
2014-11-01
The fragmentation of agricultural landscapes has a major impact on biodiversity. In addition to habitat loss, dispersal limitation increasingly appears as a significant driver of biodiversity decline. Landscape linear elements, like ditches, may reduce the negative impacts of fragmentation by enhancing connectivity for many organisms, in addition to providing refuge habitats. To characterize these effects, we investigated the respective roles of propagule source composition and connectivity at the landscape scale on hydrochorous and non-hydrochorous ditch bank plant metacommunities. Twenty-seven square sites (0.5 km2 each) were selected in an agricultural lowland of northern France. At each site, plant communities were sampled on nine ditch banks (totaling 243 ditches). Variables characterizing propagule sources composition and connectivity were calculated for landscape mosaic and ditch network models. The landscape mosaic influenced only non-hydrochorous species, while the ditch network impacted both hydrochorous and non-hydrochorous species. Non-hydrochorous metacommunities were dependent on a large set of land-use elements, either within the landscape mosaic or adjacent to the ditch network, whereas hydrochorous plant metacommunities were only impacted by the presence of ditches adjacent to crops and roads. Ditch network connectivity also influenced both hydrochorous and non-hydrochorous ditch bank plant metacommunity structure, suggesting that beyond favoring hydrochory, ditches may also enhance plant dispersal by acting on other dispersal vectors. Increasing propagule sources heterogeneity and connectivity appeared to decrease within-metacommunity similarity within landscapes. Altogether, our results suggest that the ditch network's composition and configuration impacts plant metacommunity structure by affecting propagule dispersal possibilities, with contrasted consequences depending on species' dispersal vectors.
NASA Astrophysics Data System (ADS)
Hamshaw, S. D.; Dewoolkar, M. M.; Rizzo, D.; ONeil-Dunne, J.; Frolik, J.
2016-12-01
Measurement of rates and extent of streambank erosion along river corridors is an important component of many catchment studies and necessary for engineering projects such as river restoration, hazard assessment, and total maximum daily load (TMDL) development. A variety of methods have been developed to quantify streambank erosion, including bank pins, ground surveys, photogrammetry, LiDAR, and analytical models. However, these methods are not only resource intensive, but many are feasible and appropriate only for site-specific studies and not practical for erosion estimates at larger scales. Recent advancements in unmanned aircraft systems (UAS) and photogrammetry software provide capabilities for more rapid and economical quantification of streambank erosion and deposition at multiple scales (from site-specific to river network). At the site-specific scale, the capability of UAS to quantify streambank erosion was compared to terrestrial laser scanning (TLS) and RTK-GPS ground survey and assessed at seven streambank monitoring sites in central Vermont. Across all sites, the UAS-derived bank topography had mean errors of 0.21 m compared to TLS and GPS data. Highest accuracies were achieved in early spring conditions where mean errors approached 10 cm. The cross sectional area of bank erosion at a typical, vegetated streambank site was found to be reliably calculated within 10% of actual for erosion areas greater than 3.5 m2. At the river network-level scale, 20 km of river corridor along the New Haven, Winooski, and Mad Rivers was flown on multiple dates with UAS and used to generate digital elevation models (DEMs) that were then compared for change detection analysis. Airborne LiDAR data collected prior to UAS surveys was also compared to UAS data to determine multi-year rates of bank erosion. UAS-based photogrammetry for generation of fine scale topographic data shows promise for the monitoring of streambank erosion both at the individual site scale and river-network scale in areas that are not densely covered with vegetation year-round.
The UK DNA banking network: a “fair access” biobank
Dixon, Katherine; Platt, Andrew; Pullum, Simon; Lewis, David; Hall, Alistair; Ollier, William
2009-01-01
The UK DNA Banking Network (UDBN) is a secondary biobank: it aggregates and manages resources (samples and data) originated by others. The network comprises, on the one hand, investigator groups led by clinicians each with a distinct disease specialism and, on the other hand, a research infrastructure to manage samples and data. The infrastructure addresses the problem of providing secure quality-assured accrual, storage, replenishment and distribution capacities for samples and of facilitating access to DNA aliquots and data for new peer-reviewed studies in genetic epidemiology. ‘Fair access’ principles and practices have been pragmatically developed that, unlike open access policies in this area, are not cumbersome but, rather, are fit for the purpose of expediting new study designs and their implementation. UDBN has so far distributed >60,000 samples for major genotyping studies yielding >10 billion genotypes. It provides a working model that can inform progress in biobanking nationally, across Europe and internationally. PMID:19672698
12 CFR 235.4 - Fraud-prevention adjustment.
Code of Federal Regulations, 2014 CFR
2014-01-01
....4 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE... own experience or information; (B) Information provided to the issuer by its payment card networks... adjustment, an issuer must annually notify its payment card networks that it complies with the standards in...
12 CFR 235.4 - Fraud-prevention adjustment.
Code of Federal Regulations, 2013 CFR
2013-01-01
....4 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE... own experience or information; (B) Information provided to the issuer by its payment card networks... adjustment, an issuer must annually notify its payment card networks that it complies with the standards in...
Mapping Systemic Risk: Critical Degree and Failures Distribution in Financial Networks.
Smerlak, Matteo; Stoll, Brady; Gupta, Agam; Magdanz, James S
2015-01-01
The financial crisis illustrated the need for a functional understanding of systemic risk in strongly interconnected financial structures. Dynamic processes on complex networks being intrinsically difficult to model analytically, most recent studies of this problem have relied on numerical simulations. Here we report analytical results in a network model of interbank lending based on directly relevant financial parameters, such as interest rates and leverage ratios. We obtain a closed-form formula for the "critical degree" (the number of creditors per bank below which an individual shock can propagate throughout the network), and relate failures distributions to network topologies, in particular scalefree ones. Our criterion for the onset of contagion turns out to be isomorphic to the condition for cooperation to evolve on graphs and social networks, as recently formulated in evolutionary game theory. This remarkable connection supports recent calls for a methodological rapprochement between finance and ecology.
Mapping Systemic Risk: Critical Degree and Failures Distribution in Financial Networks
Smerlak, Matteo; Stoll, Brady; Gupta, Agam; Magdanz, James S.
2015-01-01
The financial crisis illustrated the need for a functional understanding of systemic risk in strongly interconnected financial structures. Dynamic processes on complex networks being intrinsically difficult to model analytically, most recent studies of this problem have relied on numerical simulations. Here we report analytical results in a network model of interbank lending based on directly relevant financial parameters, such as interest rates and leverage ratios. We obtain a closed-form formula for the “critical degree” (the number of creditors per bank below which an individual shock can propagate throughout the network), and relate failures distributions to network topologies, in particular scalefree ones. Our criterion for the onset of contagion turns out to be isomorphic to the condition for cooperation to evolve on graphs and social networks, as recently formulated in evolutionary game theory. This remarkable connection supports recent calls for a methodological rapprochement between finance and ecology. PMID:26207631
12 CFR 235.4 - Fraud-prevention adjustment.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 4 2012-01-01 2012-01-01 false Fraud-prevention adjustment. 235.4 Section 235.4 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE... in paragraph (b) of this section must certify such compliance to its payment card networks on an...
12 CFR 205.7 - Initial disclosures.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 2 2012-01-01 2012-01-01 false Initial disclosures. 205.7 Section 205.7 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM ELECTRONIC FUND... balance inquiry, and by any network used to complete the transaction. (c) Addition of electronic fund...
12 CFR 205.7 - Initial disclosures.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 12 Banks and Banking 2 2011-01-01 2011-01-01 false Initial disclosures. 205.7 Section 205.7 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM ELECTRONIC FUND... balance inquiry, and by any network used to complete the transaction. (c) Addition of electronic fund...
12 CFR 205.7 - Initial disclosures.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 2 2013-01-01 2013-01-01 false Initial disclosures. 205.7 Section 205.7 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM ELECTRONIC FUND... balance inquiry, and by any network used to complete the transaction. (c) Addition of electronic fund...
ERIC Educational Resources Information Center
Internet Research, 1996
1996-01-01
Electronic ground was broken in 1995 with the development of the completely Internet-based bank Security First Network Bank. This article discusses the need for developing online services, outlines the reasons for the formation of an Internet-based bank and argues that to remain competitive financial services providers must provide easier customer…
The knowns and unknowns of human milk banking.
Simmer, Karen; Hartmann, Ben
2009-11-01
The PREM Bank has been providing pasteurised donor human milk (PDHM) to very preterm for the past 3 years. It is the first human milk bank (HMB) to operate in Australia in over 20 years. Our community has rapidly embraced the concept of human milk banking, with both donations and demand for PDHM exceeding expectations. Providing PDHM in 'exceptional circumstances' where a mothers' own milk is unavailable is supported by the WHO and UNICEF. We submit that neonatal intensive care is an exceptional circumstance. Although evidence supporting PDHM use from randomised control trial (RCT) is limited, the latest systematic reviews suggest a lower risk of necrotising enterocolitis with PDHM as opposed to artificial formula. Study design and ethical issues may limit future evidence from RCT. We therefore support the ongoing use of PDHM in neonatal care, where provided by an appropriately managed HMB. Internationally many HMBs operate unregulated, and this is also the case in Australia. To ensure safety the PREM Bank has committed to meet the appropriate standards recommended in the Code of Good Manufacturing Practices (Blood and Tissues) in Australia and models risk management during processing on Codex HACCP (Hazard Analysis Critical Control Point) requirements. There is scope to continually re-evaluate the screening of donors and quality standards recommended during HMB. This will be most effective if strong networks of HMBs are developed with regional reference laboratories to encourage compliance with safety guidelines. HMB networks will facilitate collection of evidence for refining HMB practice and improving outcomes for preterm and sick infants.
12 CFR 235.6 - Prohibition on circumvention, evasion, and net compensation.
Code of Federal Regulations, 2013 CFR
2013-01-01
... compensation. 235.6 Section 235.6 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF... net compensation. An issuer may not receive net compensation from a payment card network with respect... network with respect to electronic debit transactions or debit card-related activities, other than...
12 CFR 235.6 - Prohibition on circumvention, evasion, and net compensation.
Code of Federal Regulations, 2014 CFR
2014-01-01
... compensation. 235.6 Section 235.6 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF... net compensation. An issuer may not receive net compensation from a payment card network with respect... network with respect to electronic debit transactions or debit card-related activities, other than...
12 CFR 235.6 - Prohibition on circumvention, evasion, and net compensation.
Code of Federal Regulations, 2012 CFR
2012-01-01
... compensation. 235.6 Section 235.6 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF... net compensation. An issuer may not receive net compensation from a payment card network with respect... network with respect to electronic debit transactions or debit card-related activities, other than...
Correlation Filter Synthesis Using Neural Networks.
1993-12-01
trained neural networks may be understood as "smart" data interpolators, the stored filter and the filter synthesis approaches have much in common: in...the former new filters are found by searching a data bank consisting of the filters themselves; in the latter filters are formed from a distributed... data bank that contains neural network interaction strengths or weights. 1.2 Key Results and Outputs Excellent computer simulation results were
Neural network modeling of a dolphin's sonar discrimination capabilities.
Au, W W; Andersen, L N; Rasmussen, A R; Roitblat, H L; Nachtigall, P E
1995-07-01
The capability of an echolocating dolphin to discriminate differences in the wall thickness of cylinders was previously modeled by a counterpropagation neural network using only spectral information from the echoes. In this study, both time and frequency information were used to model the dolphin discrimination capabilities. Echoes from the same cylinders were digitized using a broadband simulated dolphin sonar signal with the transducer mounted on the dolphin's pen. The echoes were filtered by a bank of continuous constant-Q digital filters and the energy from each filter was computed in time increments of 1/bandwidth. Echo features of the standard and each comparison target were analyzed in pairs by a counterpropagation neural network, a backpropagation neural network, and a model using Euclidean distance measures. The backpropagation network performed better than both the counterpropagation network, and the Euclidean model, using either spectral-only features or combined temporal and spectral features. All models performed better using features containing both temporal and spectral information. The backpropagation network was able to perform better than the dolphins for noise-free echoes with Q values as low as 2 and 3. For a Q of 2, only temporal information was available. However, with noisy data, the network required a Q of 8 in order to perform as well as the dolphin.
Early-warning signals of topological collapse in interbank networks
NASA Astrophysics Data System (ADS)
Squartini, Tiziano; van Lelyveld, Iman; Garlaschelli, Diego
2013-11-01
The financial crisis clearly illustrated the importance of characterizing the level of `systemic' risk associated with an entire credit network, rather than with single institutions. However, the interplay between financial distress and topological changes is still poorly understood. Here we analyze the quarterly interbank exposures among Dutch banks over the period 1998-2008, ending with the crisis. After controlling for the link density, many topological properties display an abrupt change in 2008, providing a clear - but unpredictable - signature of the crisis. By contrast, if the heterogeneity of banks' connectivity is controlled for, the same properties show a gradual transition to the crisis, starting in 2005 and preceded by an even earlier period during which anomalous debt loops could have led to the underestimation of counter-party risk. These early-warning signals are undetectable if the network is reconstructed from partial bank-specific data, as routinely done. We discuss important implications for bank regulatory policies.
Barneh, Farnaz; Jafari, Mohieddin; Mirzaie, Mehdi
2016-11-01
Network pharmacology elucidates the relationship between drugs and targets. As the identified targets for each drug increases, the corresponding drug-target network (DTN) evolves from solely reflection of the pharmaceutical industry trend to a portrait of polypharmacology. The aim of this study was to evaluate the potentials of DrugBank database in advancing systems pharmacology. We constructed and analyzed DTN from drugs and targets associations in the DrugBank 4.0 database. Our results showed that in bipartite DTN, increased ratio of identified targets for drugs augmented density and connectivity of drugs and targets and decreased modular structure. To clear up the details in the network structure, the DTNs were projected into two networks namely, drug similarity network (DSN) and target similarity network (TSN). In DSN, various classes of Food and Drug Administration-approved drugs with distinct therapeutic categories were linked together based on shared targets. Projected TSN also showed complexity because of promiscuity of the drugs. By including investigational drugs that are currently being tested in clinical trials, the networks manifested more connectivity and pictured the upcoming pharmacological space in the future years. Diverse biological processes and protein-protein interactions were manipulated by new drugs, which can extend possible target combinations. We conclude that network-based organization of DrugBank 4.0 data not only reveals the potential for repurposing of existing drugs, also allows generating novel predictions about drugs off-targets, drug-drug interactions and their side effects. Our results also encourage further effort for high-throughput identification of targets to build networks that can be integrated into disease networks. © The Author 2015. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.
Liang, Zhengzhao; Gong, Bin; Tang, Chunan; Zhang, Yongbin; Ma, Tianhui
2014-01-01
The right bank high slope of the Dagangshan Hydroelectric Power Station is located in complicated geological conditions with deep fractures and unloading cracks. How to obtain the mechanical parameters and then evaluate the safety of the slope are the key problems. This paper presented a displacement back analysis for the slope using an artificial neural network model (ANN) and particle swarm optimization model (PSO). A numerical model was established to simulate the displacement increment results, acquiring training data for the artificial neural network model. The backpropagation ANN model was used to establish a mapping function between the mechanical parameters and the monitoring displacements. The PSO model was applied to initialize the weights and thresholds of the backpropagation (BP) network model and determine suitable values of the mechanical parameters. Then the elastic moduli of the rock masses were obtained according to the monitoring displacement data at different excavation stages, and the BP neural network model was proved to be valid by comparing the measured displacements, the displacements predicted by the BP neural network model, and the numerical simulation using the back-analyzed parameters. The proposed model is useful for rock mechanical parameters determination and instability investigation of rock slopes.
Liang, Zhengzhao; Gong, Bin; Tang, Chunan; Zhang, Yongbin; Ma, Tianhui
2014-01-01
The right bank high slope of the Dagangshan Hydroelectric Power Station is located in complicated geological conditions with deep fractures and unloading cracks. How to obtain the mechanical parameters and then evaluate the safety of the slope are the key problems. This paper presented a displacement back analysis for the slope using an artificial neural network model (ANN) and particle swarm optimization model (PSO). A numerical model was established to simulate the displacement increment results, acquiring training data for the artificial neural network model. The backpropagation ANN model was used to establish a mapping function between the mechanical parameters and the monitoring displacements. The PSO model was applied to initialize the weights and thresholds of the backpropagation (BP) network model and determine suitable values of the mechanical parameters. Then the elastic moduli of the rock masses were obtained according to the monitoring displacement data at different excavation stages, and the BP neural network model was proved to be valid by comparing the measured displacements, the displacements predicted by the BP neural network model, and the numerical simulation using the back-analyzed parameters. The proposed model is useful for rock mechanical parameters determination and instability investigation of rock slopes. PMID:25140345
12 CFR 211.4 - Permissible activities and investments of foreign branches of member banks.
Code of Federal Regulations, 2014 CFR
2014-01-01
... foreign branches of member banks. 211.4 Section 211.4 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF... requirements; and (C) Shares of automated electronic-payments networks, professional societies, schools, and...) Investment in subsidiaries. With the Board's prior approval, acquire all of the shares of a company (except...
12 CFR 211.4 - Permissible activities and investments of foreign branches of member banks.
Code of Federal Regulations, 2013 CFR
2013-01-01
... foreign branches of member banks. 211.4 Section 211.4 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF... requirements; and (C) Shares of automated electronic-payments networks, professional societies, schools, and...) Investment in subsidiaries. With the Board's prior approval, acquire all of the shares of a company (except...
12 CFR 211.4 - Permissible activities and investments of foreign branches of member banks.
Code of Federal Regulations, 2012 CFR
2012-01-01
... foreign branches of member banks. 211.4 Section 211.4 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF... requirements; and (C) Shares of automated electronic-payments networks, professional societies, schools, and...) Investment in subsidiaries. With the Board's prior approval, acquire all of the shares of a company (except...
Code of Federal Regulations, 2012 CFR
2012-07-01
... process. 1020.630 Section 1020.630 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULE FOR BANKS Special Standards... foreign shell banks; records concerning owners of foreign banks and agents for service of legal process...
Code of Federal Regulations, 2014 CFR
2014-07-01
... process. 1020.630 Section 1020.630 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULE FOR BANKS Special Standards... foreign shell banks; records concerning owners of foreign banks and agents for service of legal process...
Code of Federal Regulations, 2013 CFR
2013-07-01
... process. 1020.630 Section 1020.630 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULE FOR BANKS Special Standards... foreign shell banks; records concerning owners of foreign banks and agents for service of legal process...
Plischke, M; Wagner, M; Haarbrandt, B; Rochon, M; Schwartze, J; Tute, E; Bartkiewicz, T; Kleinschmidt, T; Seidel, C; Schüttig, H; Haux, R
2014-01-01
This article is part of a Focus Theme of METHODS of Information in Medicine on Health Record Banking. Poor communication of health care information between health care providers (HCP) is still a major problem. One recent approach is the concept of Health Record Banking. With this report we want to introduce the Lower Saxony Bank of Health (LSBH) to the international community. The main objective of this paper is to report and explain: 1) why this organization has been founded, 2) which basic principles have been set, 3) which services will be provided, 4) which type of organization has been chosen, and 5) which architectural framework has been selected. To report and discuss how we plan to achieve the intended objectives. The LSBH was founded as an entrepreneurial company, regarding itself as a neutral third-party information broker. The bank does not store medical documents on its central servers but offers a document registry with links to documents stored at participating health care providers. Subject to valid patient consent, the LSBH grants access to these documents to authorized health care providers. To implement our services, we chose the established technical frameworks of the Integrating the Healthcare Enterprise (IHE) initiative using cross-enterprise document sharing (XDS). Different approaches to establish health information exchange (HIE) are in early stages and some have failed in the past. Health Record Banking can address major challenges described in the literature about HIE. The future will show if our provider-sponsored business model is sustainable. After reaching a stable network, we intend to add additional HCPs, e.g., care homes or ambulance services, to the network.
Predicting perceptual quality of images in realistic scenario using deep filter banks
NASA Astrophysics Data System (ADS)
Zhang, Weixia; Yan, Jia; Hu, Shiyong; Ma, Yang; Deng, Dexiang
2018-03-01
Classical image perceptual quality assessment models usually resort to natural scene statistic methods, which are based on an assumption that certain reliable statistical regularities hold on undistorted images and will be corrupted by introduced distortions. However, these models usually fail to accurately predict degradation severity of images in realistic scenarios since complex, multiple, and interactive authentic distortions usually appear on them. We propose a quality prediction model based on convolutional neural network. Quality-aware features extracted from filter banks of multiple convolutional layers are aggregated into the image representation. Furthermore, an easy-to-implement and effective feature selection strategy is used to further refine the image representation and finally a linear support vector regression model is trained to map image representation into images' subjective perceptual quality scores. The experimental results on benchmark databases present the effectiveness and generalizability of the proposed model.
Denitrification in the Mississippi River network controlled by flow through river bedforms
Gomez-Velez, Jesus D.; Harvey, Judson W.; Cardenas, M. Bayani; Kiel, Brian
2015-01-01
Increasing nitrogen concentrations in the world’s major rivers have led to over-fertilization of sensitive downstream waters. Flow through channel bed and bank sediments acts to remove riverine nitrogen through microbe-mediated denitrification reactions. However, little is understood about where in the channel network this biophysical process is most efficient, why certain channels are more effective nitrogen reactors, and how management practices can enhance the removal of nitrogen in regions where water circulates through sediment and mixes with groundwater - hyporheic zones. Here we present numerical simulations of hyporheic flow and denitrification throughout the Mississippi River network using a hydrogeomorphic model. We find that vertical exchange with sediments beneath the riverbed in hyporheic zones, driven by submerged bedforms, has denitrification potential that far exceeds lateral hyporheic exchange with sediments alongside river channels, driven by river bars and meandering banks. We propose that geomorphic differences along river corridors can explain why denitrification efficiency varies between basins in the Mississippi River network. Our findings suggest that promoting the development of permeable bedforms at the streambed - and thus vertical hyporheic exchange - would be more effective at enhancing river denitrification in large river basins than promoting lateral exchange through induced channel meandering.
Identifying web usage behavior of bank customers
NASA Astrophysics Data System (ADS)
Araya, Sandro; Silva, Mariano; Weber, Richard
2002-03-01
The bank Banco Credito e Inversiones (BCI) started its virtual bank in 1996 and its registered customers perform currently more than 10,000 Internet transactions daily, which typically cause les than 10% of traditional transaction costs. Since most of the customers are still not registered for online banking, one of the goals of the virtual bank is to increase then umber of registered customers. Objective of the presented work was to identify customers who are likely to perform online banking but still do not use this medium for their transactions. This objective has been reached by determining profiles of registered customers who perform many transactions online. Based on these profiles the bank's Data Warehouse is explored for twins of these heavy users that are still not registered for online banking. We applied clustering in order to group the registered customers into five classes. One of these classes contained almost 30% of all registered customers and could clearly be identified as class of heavy users. Next a neural network assigned online customers to the previously found five classes. Applying the network trained on online customers to all the bank customers identified twins of heavy users that, however had not performed online transactions so far. A mailing to these candidates informing about the advantages of online banking doubled the number of registrations compared to previous campaigns.
Federal Register 2010, 2011, 2012, 2013, 2014
2011-11-28
... Iran as a Jurisdiction of Primary Money Laundering Concern AGENCY: Financial Crimes Enforcement Network... Republic of Iran (``Iran'') is a jurisdiction of primary money laundering concern pursuant to 31 U.S.C... Act amends the anti- money laundering provisions of the Bank Secrecy Act (``BSA''), codified at 12 U.S...
DOE Office of Scientific and Technical Information (OSTI.GOV)
NONE
1994-03-01
This fourth annual report examines how well the World Bank`s environmental policies have worked during fiscal year 1993. It presents an agenda of actions that will help countries manage their environment better and link environmental protection with sustainable development. It describes ways to improve environmental impact studies of Bank-financed projects. The report notes the World Bank`s improved public communications network and increased cofinancing for environmental projects. The Bank`s work in implementing Global Environment Facility (GEF) policies and the Montreal Protocol is also reviewed.
Yost, Kathleen J; Waller, Niels G; Lee, Minji K; Vincent, Ann
2017-06-01
Efficient management of fibromyalgia (FM) requires precise measurement of FM-specific symptoms. Our objective was to assess the measurement properties of the Patient-Reported Outcome Measurement Information System (PROMIS) fatigue item bank (FIB) in people with FM. We applied classical psychometric and item response theory methods to cross-sectional PROMIS-FIB data from two samples. Data on the clinical FM sample were obtained at a tertiary medical center. Data for the U.S. general population sample were obtained from the PROMIS network. The full 95-item bank was administered to both samples. We investigated dimensionality of the item bank in both samples by separately fitting a bifactor model with two group factors; experience and impact. We assessed measurement invariance between samples, and we explored an alternate factor structure with the normative sample and subsequently confirmed that structure in the clinical sample. Finally, we assessed whether reporting FM subdomain scores added value over reporting a single total score. The item bank was dominated by a general fatigue factor. The fit of the initial bifactor model and evidence of measurement invariance indicated that the same constructs were measured across the samples. An alternative bifactor model with three group factors demonstrated slightly improved fit. Subdomain scores add value over a total score. We demonstrated that the PROMIS-FIB is appropriate for measuring fatigue in clinical samples of FM patients. The construct can be presented by a single score; however, subdomain scores for the three group factors identified in the alternative model may also be reported.
NASA Astrophysics Data System (ADS)
Ahmed, J.; Constantine, J. A.; Hales, T. C.
2017-12-01
Meandering channels provide a conduit through which sediment and water is routed from the uplands to the sea. Alluvial material is periodically stored and transported through the channel network as permitted by the prevailing hydrologic conditions. The lowlands are typically characterised by accumulations of sediment attached to the inner banks of meander bends (point bars). These bedforms have been identified as important for facilitating a link between in-stream sediment supplies and channel dynamism. A 2D curvilinear hydrodynamic model (MIKE 21C) was used to perform a number of experiments in which the sediment load was adjusted to investigate how changes in alluvial material fluxes affect the development of point bars and the resultant patterns of bank erosion. A doubling of the sediment load caused a longitudinal increase in the bar in the upstream direction and caused a coeval doubling of the transverse channel slope at the meander apex. The upstream growth of the point bar was accompanied by an increase in length over which lateral migration took place at the outer bank. The magnitude of outer bank erosion was 9-times greater for the high-sediment simulation. These results suggest that enhanced sediment loads (potentially the result of changes in land use or climate) can trigger greater rates of bank erosion and channel change through the sequestration of alluvial material on point bars, which encourage high-velocity fluid deflection towards the outer bank of the meander. This controls riparian habitat development and exchanges of sediment and nutrients across the channel-floodplain interface.
Bankruptcy prediction for credit risk using neural networks: a survey and new results.
Atiya, A F
2001-01-01
The prediction of corporate bankruptcies is an important and widely studied topic since it can have significant impact on bank lending decisions and profitability. This work presents two contributions. First we review the topic of bankruptcy prediction, with emphasis on neural-network (NN) models. Second, we develop an NN bankruptcy prediction model. Inspired by one of the traditional credit risk models developed by Merton (1974), we propose novel indicators for the NN system. We show that the use of these indicators in addition to traditional financial ratio indicators provides a significant improvement in the (out-of-sample) prediction accuracy (from 81.46% to 85.5% for a three-year-ahead forecast).
NASA Technical Reports Server (NTRS)
1991-01-01
The NASA-developed Artificial Satellite Analysis Program (ASAP), was purchased from COSMIC and used to enhance OPNET, a program for developing simulations of communications satellite networks. OPNET's developer, MIL3, applied ASAP to support predictions of low Earth orbit, enabling the company to offer satellite modeling capability to customers earlier than if they had to actually develop the program.
The dynamics of financial stability in complex networks
NASA Astrophysics Data System (ADS)
da Cruz, J. P.; Lind, P. G.
2012-08-01
We address the problem of banking system resilience by applying off-equilibrium statistical physics to a system of particles, representing the economic agents, modelled according to the theoretical foundation of the current banking regulation, the so called Merton-Vasicek model. Economic agents are attracted to each other to exchange `economic energy', forming a network of trades. When the capital level of one economic agent drops below a minimum, the economic agent becomes insolvent. The insolvency of one single economic agent affects the economic energy of all its neighbours which thus become susceptible to insolvency, being able to trigger a chain of insolvencies (avalanche). We show that the distribution of avalanche sizes follows a power-law whose exponent depends on the minimum capital level. Furthermore, we present evidence that under an increase in the minimum capital level, large crashes will be avoided only if one assumes that agents will accept a drop in business levels, while keeping their trading attitudes and policies unchanged. The alternative assumption, that agents will try to restore their business levels, may lead to the unexpected consequence that large crises occur with higher probability.
31 CFR 1010.810 - Enforcement.
Code of Federal Regulations, 2012 CFR
2012-07-01
... ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY GENERAL PROVISIONS Enforcement; Penalties; and Forfeiture... national bank examiners; (2) To the Board of Governors of the Federal Reserve System with respect to those... examined for safety and soundness by FDIC bank examiners; (4) To the Federal Home Loan Bank Board with...
31 CFR 1010.810 - Enforcement.
Code of Federal Regulations, 2011 CFR
2011-07-01
... ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY GENERAL PROVISIONS Enforcement; Penalties; and Forfeiture... national bank examiners; (2) To the Board of Governors of the Federal Reserve System with respect to those... examined for safety and soundness by FDIC bank examiners; (4) To the Federal Home Loan Bank Board with...
31 CFR 1010.810 - Enforcement.
Code of Federal Regulations, 2014 CFR
2014-07-01
... ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY GENERAL PROVISIONS Enforcement; Penalties; and Forfeiture... national bank examiners; (2) To the Board of Governors of the Federal Reserve System with respect to those... examined for safety and soundness by FDIC bank examiners; (4) To the Federal Home Loan Bank Board with...
31 CFR 1010.810 - Enforcement.
Code of Federal Regulations, 2013 CFR
2013-07-01
... ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY GENERAL PROVISIONS Enforcement; Penalties; and Forfeiture... national bank examiners; (2) To the Board of Governors of the Federal Reserve System with respect to those... examined for safety and soundness by FDIC bank examiners; (4) To the Federal Home Loan Bank Board with...
50 CFR 679.26 - Prohibited Species Donation Program.
Code of Federal Regulations, 2010 CFR
2010-10-01
... describing the applicant's expertise in providing for the distribution of food product from remote Alaskan locations to hunger relief agencies, food bank networks, or food bank distributors, including arrangements... ensure that fish donated under this program will be distributed to hunger relief agencies, food bank...
NASA Astrophysics Data System (ADS)
Ye, H.; Deyle, E. R.; Hsieh, C.; Sugihara, G.
2012-12-01
We used convergent cross mapping (CCM), a method grounded in nonlinear dynamical systems theory to analyze long-term time series of fish species from the California Cooperative Oceanic Fisheries Investigations ichthyoplankton (isolated to the Southern California Bight [SCB]) and NOAA National Marine Fisheries Service Northeast Fisheries Science Center trawl survey (isolated to the Georges Bank [GB] region) data sets. CCM gives a nonparametric indicator of the realized dynamic influence that one species has on another (i.e. how much the abundance of X at a particular time is dependent on the historical abundance of Y). We found there are more interactions between species in SCB compared to GB. An analysis of the interaction matrix showed that there is also more structure in the connectivity network of SCB compared to GB. We attribute this difference in connectivity to historical overexploitation of fish stocks in the North Atlantic, and reproduce this effect in simple multi-species fishery models. We discuss the implications of these results for ecosystem-based management and for restoration efforts.; Connectivity Networks for Fishes in the Southern California Bight (SCB) and Georges Bank (GB) as determined using cross-mapping.
Topological properties of complex networks in protein structures
NASA Astrophysics Data System (ADS)
Kim, Kyungsik; Jung, Jae-Won; Min, Seungsik
2014-03-01
We study topological properties of networks in structural classification of proteins. We model the native-state protein structure as a network made of its constituent amino-acids and their interactions. We treat four structural classes of proteins composed predominantly of α helices and β sheets and consider several proteins from each of these classes whose sizes range from amino acids of the Protein Data Bank. Particularly, we simulate and analyze the network metrics such as the mean degree, the probability distribution of degree, the clustering coefficient, the characteristic path length, the local efficiency, and the cost. This work was supported by the KMAR and DP under Grant WISE project (153-3100-3133-302-350).
Federal Register 2010, 2011, 2012, 2013, 2014
2012-05-30
...; Imposition of Special Measure Against JSC CredexBank as a Financial Institution of Primary Money Laundering... for concluding that JSC CredexBank is a financial institution of primary money laundering concern...- money laundering provisions of the Bank Secrecy Act (BSA), codified at 12 U.S.C. 1829b, 12 U.S.C. 1951...
Early-warning signals of topological collapse in interbank networks
Squartini, Tiziano; van Lelyveld, Iman; Garlaschelli, Diego
2013-01-01
The financial crisis clearly illustrated the importance of characterizing the level of ‘systemic’ risk associated with an entire credit network, rather than with single institutions. However, the interplay between financial distress and topological changes is still poorly understood. Here we analyze the quarterly interbank exposures among Dutch banks over the period 1998–2008, ending with the crisis. After controlling for the link density, many topological properties display an abrupt change in 2008, providing a clear – but unpredictable – signature of the crisis. By contrast, if the heterogeneity of banks' connectivity is controlled for, the same properties show a gradual transition to the crisis, starting in 2005 and preceded by an even earlier period during which anomalous debt loops could have led to the underestimation of counter-party risk. These early-warning signals are undetectable if the network is reconstructed from partial bank-specific data, as routinely done. We discuss important implications for bank regulatory policies. PMID:24285089
DebtRank: A Microscopic Foundation for Shock Propagation.
Bardoscia, Marco; Battiston, Stefano; Caccioli, Fabio; Caldarelli, Guido
2015-01-01
The DebtRank algorithm has been increasingly investigated as a method to estimate the impact of shocks in financial networks, as it overcomes the limitations of the traditional default-cascade approaches. Here we formulate a dynamical "microscopic" theory of instability for financial networks by iterating balance sheet identities of individual banks and by assuming a simple rule for the transfer of shocks from borrowers to lenders. By doing so, we generalise the DebtRank formulation, both providing an interpretation of the effective dynamics in terms of basic accounting principles and preventing the underestimation of losses on certain network topologies. Depending on the structure of the interbank leverage matrix the dynamics is either stable, in which case the asymptotic state can be computed analytically, or unstable, meaning that at least one bank will default. We apply this framework to a dataset of the top listed European banks in the period 2008-2013. We find that network effects can generate an amplification of exogenous shocks of a factor ranging between three (in normal periods) and six (during the crisis) when we stress the system with a 0.5% shock on external (i.e. non-interbank) assets for all banks.
DebtRank: A Microscopic Foundation for Shock Propagation
Bardoscia, Marco; Battiston, Stefano; Caccioli, Fabio; Caldarelli, Guido
2015-01-01
The DebtRank algorithm has been increasingly investigated as a method to estimate the impact of shocks in financial networks, as it overcomes the limitations of the traditional default-cascade approaches. Here we formulate a dynamical “microscopic” theory of instability for financial networks by iterating balance sheet identities of individual banks and by assuming a simple rule for the transfer of shocks from borrowers to lenders. By doing so, we generalise the DebtRank formulation, both providing an interpretation of the effective dynamics in terms of basic accounting principles and preventing the underestimation of losses on certain network topologies. Depending on the structure of the interbank leverage matrix the dynamics is either stable, in which case the asymptotic state can be computed analytically, or unstable, meaning that at least one bank will default. We apply this framework to a dataset of the top listed European banks in the period 2008–2013. We find that network effects can generate an amplification of exogenous shocks of a factor ranging between three (in normal periods) and six (during the crisis) when we stress the system with a 0.5% shock on external (i.e. non-interbank) assets for all banks. PMID:26091013
An International Survey of Brain Banking Operation and Characterization Practices
Palmer-Aronsten, Beatrix; McCrossin, Toni; Kril, Jillian
2016-01-01
Brain banks continue to make a major contribution to the study of neurological and psychiatric disorders. The current complexity and scope of research heighten the need for well-characterized cases and the demand for larger cohorts and necessitate strategies, such as the establishment of bank networks based in regional areas. While individual brain banks have developed protocols that meet researchers' needs within the confines of resources and funding, to further promote collaboration, standardization and scientific validity and understanding of the current protocols of participating banks are required. A survey was sent to brain banks, identified by an Internet search, to investigate operational protocols, case characterization, cohort management, data collection, standardization, and degree of collaboration between banks. The majority of the 24 banks that returned the survey have been established for more than 20 years, and most are affiliated with a regional network. While prospective donor programs were the primary source of donation, the data collected on donors varied. Longitudinal information assists case characterization and enhances the analysis capabilities of research. However, acquiring this information depended on the availability of qualified staff. Respondents indicated a high level of importance for standardization, but only 8 of 24 considered this occurred between banks. Standard diagnostic criteria were not achieved in the classification of controls, and some banks relied on the researcher to indicate the criteria for classification of controls. Although the capacity to collaborate with other banks was indicated by 16 of 24 banks, this occurred infrequently. Engagement of all brain banks to participate toward a consensus of diagnostic tools, especially for controls, will strengthen collaboration. PMID:27399803
An International Survey of Brain Banking Operation and Characterization Practices.
Palmer-Aronsten, Beatrix; Sheedy, Donna; McCrossin, Toni; Kril, Jillian
2016-12-01
Brain banks continue to make a major contribution to the study of neurological and psychiatric disorders. The current complexity and scope of research heighten the need for well-characterized cases and the demand for larger cohorts and necessitate strategies, such as the establishment of bank networks based in regional areas. While individual brain banks have developed protocols that meet researchers' needs within the confines of resources and funding, to further promote collaboration, standardization and scientific validity and understanding of the current protocols of participating banks are required. A survey was sent to brain banks, identified by an Internet search, to investigate operational protocols, case characterization, cohort management, data collection, standardization, and degree of collaboration between banks. The majority of the 24 banks that returned the survey have been established for more than 20 years, and most are affiliated with a regional network. While prospective donor programs were the primary source of donation, the data collected on donors varied. Longitudinal information assists case characterization and enhances the analysis capabilities of research. However, acquiring this information depended on the availability of qualified staff. Respondents indicated a high level of importance for standardization, but only 8 of 24 considered this occurred between banks. Standard diagnostic criteria were not achieved in the classification of controls, and some banks relied on the researcher to indicate the criteria for classification of controls. Although the capacity to collaborate with other banks was indicated by 16 of 24 banks, this occurred infrequently. Engagement of all brain banks to participate toward a consensus of diagnostic tools, especially for controls, will strengthen collaboration.
Fushing, Hsieh; Jordà, Òscar; Beisner, Brianne; McCowan, Brenda
2015-01-01
What do the behavior of monkeys in captivity and the financial system have in common? The nodes in such social systems relate to each other through multiple and keystone networks, not just one network. Each network in the system has its own topology, and the interactions among the system’s networks change over time. In such systems, the lead into a crisis appears to be characterized by a decoupling of the networks from the keystone network. This decoupling can also be seen in the crumbling of the keystone’s power structure toward a more horizontal hierarchy. This paper develops nonparametric methods for describing the joint model of the latent architecture of interconnected networks in order to describe this process of decoupling, and hence provide an early warning system of an impending crisis. PMID:26056422
Measuring the default risk of sovereign debt from the perspective of network
NASA Astrophysics Data System (ADS)
Chuang, Hongwei; Ho, Hwai-Chung
2013-05-01
Recently, there has been a growing interest in network research, especially in the fields of biology, computer science, and sociology. It is natural to address complex financial issues such as the European sovereign debt crisis from the perspective of network. In this article, we construct a network model according to the debt-credit relations instead of using the conventional methodology to measure the default risk. Based on the model, a risk index is examined using the quarterly report of consolidated foreign claims from the Bank for International Settlements (BIS) and debt/GDP ratios among these reporting countries. The empirical results show that this index can help the regulators and practitioners not only to determine the status of interconnectivity but also to point out the degree of the sovereign debt default risk. Our approach sheds new light on the investigation of quantifying the systemic risk.
An Analysis of and Recommendations for the Peruvian Blood Collection and Transfusion System
George, Paul E; Vidal, Julio; Garcia, Patricia J
2016-01-01
Background Peru experienced a crisis in its blood collection and supply system in the mid-2000s, as contaminated blood led to several transfusion-transmitted infections (TTI), occurring in the backdrop of extremely low voluntary donation rates and a national blood supply shortage. Thus, the Peruvian Ministry of Health (MINSA) implemented a national investigation on the safety and quality of the Peruvian blood collection/transfusion network. Methods Every Peruvian blood bank was evaluated by MINSA from 2007–2008. These evaluations consisted of an update of the national registry of blood banks and visits to each blood bank from MINSA oversight teams. Information was collected on the condition of the blood bank personnel, equipment, supplies, and practices. Further, previously-collected blood at each blood bank was randomly selected and screened for TTI-causing pathogens. Results Uncovered in this investigation was a fragmented, under-equipped, and poorly-staffed blood collection and transfusion network, consisting of 241 independent blood banks and resulting in suboptimal allocation of resources. Further, blood with evidence of TTI-causing pathogens (including Hepatitis B, Hepatitis C, and syphilis) and set for transfusion was discovered at three separate blood banks as part of the random screening process. Conclusion Using the successful reorganizations of national blood supply systems in other Latin American countries as examples, Peru would be well-served to form large, high-volume, regional blood collection and transfusion centers, responsible for blood collection and screening for the entire country. The small, separate blood banks would then be transformed into a network of blood transfusion centers, not responsible for blood collection. This reorganization would allow Peru to better utilize its resources, standardize the blood collection and transfusion process, and increase voluntary donation, resulting in a safer, more abundant national blood product. PMID:27761524
An Analysis of and Recommendations for the Peruvian Blood Collection and Transfusion System.
George, Paul E; Vidal, Julio; Garcia, Patricia J
2016-05-01
Peru experienced a crisis in its blood collection and supply system in the mid-2000s, as contaminated blood led to several transfusion-transmitted infections (TTI), occurring in the backdrop of extremely low voluntary donation rates and a national blood supply shortage. Thus, the Peruvian Ministry of Health (MINSA) implemented a national investigation on the safety and quality of the Peruvian blood collection/transfusion network. Every Peruvian blood bank was evaluated by MINSA from 2007-2008. These evaluations consisted of an update of the national registry of blood banks and visits to each blood bank from MINSA oversight teams. Information was collected on the condition of the blood bank personnel, equipment, supplies, and practices. Further, previously-collected blood at each blood bank was randomly selected and screened for TTI-causing pathogens. Uncovered in this investigation was a fragmented, under-equipped, and poorly-staffed blood collection and transfusion network, consisting of 241 independent blood banks and resulting in suboptimal allocation of resources. Further, blood with evidence of TTI-causing pathogens (including Hepatitis B, Hepatitis C, and syphilis) and set for transfusion was discovered at three separate blood banks as part of the random screening process. Using the successful reorganizations of national blood supply systems in other Latin American countries as examples, Peru would be well-served to form large, high-volume, regional blood collection and transfusion centers, responsible for blood collection and screening for the entire country. The small, separate blood banks would then be transformed into a network of blood transfusion centers, not responsible for blood collection. This reorganization would allow Peru to better utilize its resources, standardize the blood collection and transfusion process, and increase voluntary donation, resulting in a safer, more abundant national blood product.
Predicting the distribution of bed material accumulation using river network sediment budgets
NASA Astrophysics Data System (ADS)
Wilkinson, Scott N.; Prosser, Ian P.; Hughes, Andrew O.
2006-10-01
Assessing the spatial distribution of bed material accumulation in river networks is important for determining the impacts of erosion on downstream channel form and habitat and for planning erosion and sediment management. A model that constructs spatially distributed budgets of bed material sediment is developed to predict the locations of accumulation following land use change. For each link in the river network, GIS algorithms are used to predict bed material supply from gullies, river banks, and upstream tributaries and to compare total supply with transport capacity. The model is tested in the 29,000 km2 Murrumbidgee River catchment in southeast Australia. It correctly predicts the presence or absence of accumulation in 71% of river links, which is significantly better performance than previous models, which do not account for spatial variability in sediment supply and transport capacity. Representing transient sediment storage is important for predicting smaller accumulations. Bed material accumulation is predicted in 25% of the river network, indicating its importance as an environmental problem in Australia.
Efficient immunization strategies to prevent financial contagion
NASA Astrophysics Data System (ADS)
Kobayashi, Teruyoshi; Hasui, Kohei
2014-01-01
Many immunization strategies have been proposed to prevent infectious viruses from spreading through a network. In this work, we study efficient immunization strategies to prevent a default contagion that might occur in a financial network. An essential difference from the previous studies on immunization strategy is that we take into account the possibility of serious side effects. Uniform immunization refers to a situation in which banks are ``vaccinated'' with a common low-risk asset. The riskiness of immunized banks will decrease significantly, but the level of systemic risk may increase due to the de-diversification effect. To overcome this side effect, we propose another immunization strategy, called counteractive immunization, which prevents pairs of banks from failing simultaneously. We find that counteractive immunization can efficiently reduce systemic risk without altering the riskiness of individual banks.
Loan and nonloan flows in the Australian interbank network
NASA Astrophysics Data System (ADS)
Sokolov, Andrey; Webster, Rachel; Melatos, Andrew; Kieu, Tien
2012-05-01
High-value transactions between banks in Australia are settled in the Reserve Bank Information and Transfer System (RITS) administered by the Reserve Bank of Australia. RITS operates on a real-time gross settlement (RTGS) basis and settles payments and transfers sourced from the SWIFT payment delivery system, the Austraclear securities settlement system, and the interbank transactions entered directly into RITS. In this paper, we analyse a dataset received from the Reserve Bank of Australia that includes all interbank transactions settled in RITS on an RTGS basis during five consecutive weekdays from 19 February 2007 inclusive, a week of relatively quiescent market conditions. The source, destination, and value of each transaction are known, which allows us to separate overnight loans from other transactions (nonloans) and reconstruct monetary flows between banks for every day in our sample. We conduct a novel analysis of the flow stability and examine the connection between loan and nonloan flows. Our aim is to understand the underlying causal mechanism connecting loan and nonloan flows. We find that the imbalances in the banks' exchange settlement funds resulting from the daily flows of nonloan transactions are almost exactly counterbalanced by the flows of overnight loans. The correlation coefficient between loan and nonloan imbalances is about -0.9 on most days. Some flows that persist over two consecutive days can be highly variable, but overall the flows are moderately stable in value. The nonloan network is characterised by a large fraction of persistent flows, whereas only half of the flows persist over any two consecutive days in the loan network. Moreover, we observe an unusual degree of coherence between persistent loan flow values on Tuesday and Wednesday. We probe static topological properties of the Australian interbank network and find them consistent with those observed in other countries.
Proposal for a telehealth concept in the translational research model.
Silva, Angélica Baptista; Morel, Carlos Médicis; Moraes, Ilara Hämmerli Sozzi de
2014-04-01
To review the conceptual relationship between telehealth and translational research. Bibliographical search on telehealth was conducted in the Scopus, Cochrane BVS, LILACS and MEDLINE databases to find experiences of telehealth in conjunction with discussion of translational research in health. The search retrieved eight studies based on analysis of models of the five stages of translational research and the multiple strands of public health policy in the context of telehealth in Brazil. The models were applied to telehealth activities concerning the Network of Human Milk Banks, in the Telemedicine University Network. The translational research cycle of human milk collected, stored and distributed presents several integrated telehealth initiatives, such as video conferencing, and software and portals for synthesizing knowledge, composing elements of an information ecosystem, mediated by information and communication technologies in the health system. Telehealth should be composed of a set of activities in a computer mediated network promoting the translation of knowledge between research and health services.
How Unstable Are Complex Financial Systems? Analyzing an Inter-bank Network of Credit Relations
NASA Astrophysics Data System (ADS)
Sinha, Sitabhra; Thess, Maximilian; Markose, Sheri
The recent worldwide economic crisis of 2007-09 has focused attention on the need to analyze systemic risk in complex financial networks. We investigate the problem of robustness of such systems in the context of the general theory of dynamical stability in complex networks and, in particular, how the topology of connections influence the risk of the failure of a single institution triggering a cascade of successive collapses propagating through the network. We use data on bilateral liabilities (or exposure) in the derivatives market between 202 financial intermediaries based in USA and Europe in the last quarter of 2009 to empirically investigate the network structure of the over-the-counter (OTC) derivatives market. We observe that the network exhibits both heterogeneity in node properties and the existence of communities. It also has a prominent core-periphery organization and can resist large-scale collapse when subjected to individual bank defaults (however, failure of any bank in the core may result in localized collapse of the innermost core with substantial loss of capital) but is vulnerable to system-wide breakdown as a result of an accompanying liquidity crisis.
A neural network model of harmonic detection
NASA Astrophysics Data System (ADS)
Lewis, Clifford F.
2003-04-01
Harmonic detection theories postulate that a virtual pitch is perceived when a sufficient number of harmonics is present. The harmonics need not be consecutive, but higher harmonics contribute less than lower harmonics [J. Raatgever and F. A. Bilsen, in Auditory Physiology and Perception, edited by Y. Cazals, K. Horner, and L. Demany (Pergamon, Oxford, 1992), pp. 215-222 M. K. McBeath and J. F. Wayand, Abstracts of the Psychonom. Soc. 3, 55 (1998)]. A neural network model is presented that has the potential to simulate this operation. Harmonics are first passed through a bank of rounded exponential filters with lateral inhibition. The results are used as inputs for an autoassociator neural network. The model is trained using harmonic data for symphonic musical instruments, in order to test whether it can self-organize by learning associations between co-occurring harmonics. It is shown that the trained model can complete the pattern for missing-fundamental sounds. The Performance of the model in harmonic detection will be compared with experimental results for humans.
Denitrification in the Mississippi River network controlled by flow through river bedforms
Gomez-Velez, Jesus D.; Harvey, Judson W.; Cardenas, M. Bayani; Kiel, Brian
2015-01-01
Increasing nitrogen concentrations in the world’s major rivers have led to over-fertilization of sensitive downstream waters1, 2, 3, 4. Flow through channel bed and bank sediments acts to remove riverine nitrogen through microbe-mediated denitrification reactions5, 6, 7, 8, 9, 10. However, little is understood about where in the channel network this biophysical process is most efficient, why certain channels are more effective nitrogen reactors, and how management practices can enhance the removal of nitrogen in regions where water circulates through sediment and mixes with groundwater - hyporheic zones8, 11, 12. Here we present numerical simulations of hyporheic flow and denitrification throughout the Mississippi River network using a hydrogeomorphic model. We find that vertical exchange with sediments beneath the riverbed in hyporheic zones, driven by submerged bedforms, has denitrification potential that far exceeds lateral hyporheic exchange with sediments alongside river channels, driven by river bars and meandering banks. We propose that geomorphic differences along river corridors can explain why denitrification efficiency varies between basins in the Mississippi River network. Our findings suggest that promoting the development of permeable bedforms at the streambed - and thus vertical hyporheic exchange - would be more effective at enhancing river denitrification in large river basins than promoting lateral exchange through induced channel meandering.
The topology of card transaction money flows
NASA Astrophysics Data System (ADS)
Zanin, Massimiliano; Papo, David; Romance, Miguel; Criado, Regino; Moral, Santiago
2016-11-01
Money flow models are essential tools to understand different economical phenomena, like saving propensities and wealth distributions. In spite of their importance, most of them are based on synthetic transaction networks with simple topologies, e.g. random or scale-free ones, as the characterisation of real networks is made difficult by the confidentiality and sensitivity of money transaction data. Here, we present an analysis of the topology created by real credit card transactions from one of the biggest world banks, and show how different distributions, e.g. number of transactions per card or amount, have nontrivial characteristics. We further describe a stochastic model to create transactions data sets, feeding from the obtained distributions, which will allow researchers to create more realistic money flow models.
Is Bank Finance the Achilles' Heel of Irish SMEs?
ERIC Educational Resources Information Center
Carey, Dermot; Flynn, Antoinette
2005-01-01
Purpose: The purpose of this research paper is to examine the implications of new banking regulations (Basel II) for the Irish SME sector. Training gaps are identified and recommendations to advance social capital networks are provided. Design/methodology/approach: The Irish SME dependence on external (bank) finance and their susceptibility to…
Code of Federal Regulations, 2014 CFR
2014-07-01
... for foreign shell banks; records concerning owners of foreign banks and agents for service of legal... (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR CASINOS AND CARD CLUBS Special Standards of Diligence; Prohibitions; and Special Measures for Casinos and Card Clubs § 1021.630...
Code of Federal Regulations, 2013 CFR
2013-07-01
... for foreign shell banks; records concerning owners of foreign banks and agents for service of legal... (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR CASINOS AND CARD CLUBS Special Standards of Diligence; Prohibitions; and Special Measures for Casinos and Card Clubs § 1021.630...
Code of Federal Regulations, 2011 CFR
2011-07-01
... for foreign shell banks; records concerning owners of foreign banks and agents for service of legal... (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR CASINOS AND CARD CLUBS Special Standards of Diligence; Prohibitions; and Special Measures for Casinos and Card Clubs § 1021.630...
Code of Federal Regulations, 2012 CFR
2012-07-01
... for foreign shell banks; records concerning owners of foreign banks and agents for service of legal... (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR CASINOS AND CARD CLUBS Special Standards of Diligence; Prohibitions; and Special Measures for Casinos and Card Clubs § 1021.630...
Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS
Domazet, Milka; Stricevic, Ruzica; Pocuca, Vesna; Spalevic, Velibor; Pivic, Radmila; Gregoric, Enika; Domazet, Uros
2015-01-01
Water table forecasting plays an important role in the management of groundwater resources in agricultural regions where there are drainage systems in river valleys. The results presented in this paper pertain to an area along the left bank of the Danube River, in the Province of Vojvodina, which is the northern part of Serbia. Two soft computing techniques were used in this research: an adaptive neurofuzzy inference system (ANFIS) and an artificial neural network (ANN) model for one-month water table forecasts at several wells located at different distances from the river. The results suggest that both these techniques represent useful tools for modeling hydrological processes in agriculture, with similar computing and memory capabilities, such that they constitute an exceptionally good numerical framework for generating high-quality models. PMID:26759830
Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS.
Djurovic, Nevenka; Domazet, Milka; Stricevic, Ruzica; Pocuca, Vesna; Spalevic, Velibor; Pivic, Radmila; Gregoric, Enika; Domazet, Uros
2015-01-01
Water table forecasting plays an important role in the management of groundwater resources in agricultural regions where there are drainage systems in river valleys. The results presented in this paper pertain to an area along the left bank of the Danube River, in the Province of Vojvodina, which is the northern part of Serbia. Two soft computing techniques were used in this research: an adaptive neurofuzzy inference system (ANFIS) and an artificial neural network (ANN) model for one-month water table forecasts at several wells located at different distances from the river. The results suggest that both these techniques represent useful tools for modeling hydrological processes in agriculture, with similar computing and memory capabilities, such that they constitute an exceptionally good numerical framework for generating high-quality models.
[Satellite center of human milk: Analysis of cost reduction].
Affumicato, L; Sánchez Tamayo, T; Espinosa Fernandez, M G; Peña Caballero, M; Ruiz Morcillo, C E; Acebes Tosti, R; Salguero García, E
Donor milk is the second best alternative for a newborn after the mother's own milk, especially when the baby is a premature or a sick child since this milk has the advantage of protecting against necrotizing enterocolitis. There are currently 13 milk banks in Spain, however this is not sufficient to supply all Spanish neonatal units with donor milk. In order to bring donor milk to the babies in Neonatal Unit of the Regional University Hospital of Malaga, a Satellite Centre (CS) was created in 2012, depending on the Milk Bank of Virgen de las Nieves Hospital in Granada. Assessing the efficiency of a SC compared to an independent milk bank. A study of cost minimization is used for the analysis. The cost of the implementation of the SC is calculated and compared to the cost of the implementation of the Milk Bank of Virgen de las Nieves of Granada. Additionally, the maintenance cost per year of the 2 models is compared, taking into account the running phase from June, 2012 through August 2015 in the SC. A SC implies savings of 88,852 Euro in equipment, and 24,572 Euro per year in maintenance compared to an independent milk bank. The efficiency of the SC is due to a better use of resources. A distribution network model of donor human milk, consisting of milk banks and SC, makes it possible to equally supply human milk to premature infants with a reduced cost. Copyright © 2018 SECA. Publicado por Elsevier España, S.L.U. All rights reserved.
Vijayakumar, Nithya P; Parikh, Purak; Mian, Shahzad I; Tennant, Brad; Grossman, Gregory H; Albrecht, Bob; Niziol, Leslie M; Woodward, Maria A
2018-03-01
Surgical use of donor corneal tissue from victims of water submersion (drowning or submersion secondary to death) remains controversial due to limited evidence about the quality of these tissues. To assess the safety of donor corneal tissue from victims of water submersion, an investigation of eye banks' practice patterns and tissue outcomes was conducted. All 79 Eye Bank Association of America accredited eye banks were contacted for a phone interview of practices regarding tissue from victims of water submersion. A retrospective review of corneal tissues from 2014 to 2016 from a large eye bank network was performed to identify all donors submerged in water. Corneal epithelial integrity, endothelial cell density (ECD), rim cultures, and adverse events were analyzed for associations with water submersion characteristics. 49 eye banks (62% response) participated in the survey. 55% of these eye banks had specific, written protocol for tissue eligibility from donors submerged in water. With or without specific protocol, eye banks reported considering water type (84%) and length of time submerged (92%) to determine eligibility. 22% of eye banks reported medical director involvement when eligibility determination was unclear. 79 tissues from 40 donors who were submerged were identified in 2014-2016 eye bank data. No donor tissues had pre-processing corneal infiltrates, positive rim cultures, or adverse events post-keratoplasty. Corneal epithelial integrity and ECD were not associated with water type or length of time submerged. In conclusion, data from a large eye bank network showed no adverse events or outcomes, indicating these tissues may be safe.
Mugishima, Hideo; Takahashi, Tuneo; Nagamura, Tokiko; Asano, Sigetaka; Saito, Hidehiko
2002-08-01
Cord blood offers many advantages including a high concentration of hematopoietic stem cells, a large number of potential donors, and ease of harvest. Furthermore, since there is no risk for either the mother or baby, few people refuse to donate. There is thought to be a low risk for virus contamination and also probably a low incidence and severity of GVHD. Cord blood can be obtained quickly without the assistance of a coordinator and one or 2 locus-mismatched HLA is usually acceptable. In Japan, there are 10 cord blood banks supported by the government. Between 1996 and June 2002, 9,500 units were registered with the Japan cord blood bank network (JCBBN). 630 units were delivered and most of these were transplanted. The status of registered cord blood units worldwide is shown. 59,081 units have been registered by NETCORD. The Japan cord blood bank network accounts for 13% of these units. I will discuss the Tokyo cord blood tank (TCBB). The bank at Tokyo, to which we belong, is one of the largest banks in Japan. We helped to establish Asia CORD in 2000 and have held annual conferences and meetings in Tokyo to exchange information. So far, China, Korea, Taiwan, Thailand, Viet Nam and Japan have participated. We accepted three trainees from the Ho Chi Minh City Blood Transfusion and Hematology Center for training in cord blood transplantation in May 2001. In January 2002, a patient with ALL received cord blood and was successfully engrafted at Ho Chi Minh City Blood Transfusion and Hematology Center. We present here the clinical outcome of these patients through Tokyo cord blood bank and Japan cord blood bank network. First, the number of CB units stored and registered at JCBBN and TCBB has increased rapidly over the past two years. Second, the survival rate of acute leukemia patients in release was significantly lower than that in patients in CR. Third, the engraftment rate in patients with metabolic disease (50%) was lower than that in patients with leukemia. Fourth, there was no significant difference in the incidence of acute GVHD greater than grade II between patients with a 1-locus and 2-locus mismatch. Finally, the incidence of acute GVHD was relatively low, and there were no deaths related to acute GVHD.
NASA Astrophysics Data System (ADS)
Diniş, C. M.; Cunţan, C. D.; Rob, R. O. S.; Popa, G. N.
2018-01-01
The paper presents the analysis of a power factor with capacitors banks, without series coils, used for improving power factor for a three-phase and single-phase inductive loads. In the experimental measurements, to improve the power factor, the Roederstein ESTAmat RPR power factor controller can command up to twelve capacitors banks, while experimenting using only six capacitors banks. Six delta capacitors banks with approximately equal reactive powers were used for experimentation. The experimental measurements were carried out with a three-phase power quality analyser which worked in three cases: a case without a controller with all capacitors banks permanently parallel connected with network, and two other cases with power factor controller (one with setting power factor at 0.92 and the other one at 1). When performing experiments with the power factor controller, a current transformer was used to measure the current on one phase (at a more charged or less loaded phase).
Calibration of the rutting model in HDM 4 on the highway network in Macedonia
NASA Astrophysics Data System (ADS)
Ognjenovic, Slobodan; Okrepilov, Vladimir; Ristov, Riste; Papic, Jovan
2018-03-01
The World Bank HDM 4 model is adopted in many countries worldwide. It is consisted of the developed models for almost all types of deformation on the pavement structures, but it can't be used as it is developed everywhere in the world without proper adjustments to local conditions such as traffic load, climate, construction specificities, maintenance level etc. This paper presents the results of the researches carried out in Macedonia for determining calibration coefficient of the rutting model in HDM 4.
Forecasting currency circulation data of Bank Indonesia by using hybrid ARIMAX-ANN model
NASA Astrophysics Data System (ADS)
Prayoga, I. Gede Surya Adi; Suhartono, Rahayu, Santi Puteri
2017-05-01
The purpose of this study is to forecast currency inflow and outflow data of Bank Indonesia. Currency circulation in Indonesia is highly influenced by the presence of Eid al-Fitr. One way to forecast the data with Eid al-Fitr effect is using autoregressive integrated moving average with exogenous input (ARIMAX) model. However, ARIMAX is a linear model, which cannot handle nonlinear correlation structures of the data. In the field of forecasting, inaccurate predictions can be considered caused by the existence of nonlinear components that are uncaptured by the model. In this paper, we propose a hybrid model of ARIMAX and artificial neural networks (ANN) that can handle both linear and nonlinear correlation. This method was applied for 46 series of currency inflow and 46 series of currency outflow. The results showed that based on out-of-sample root mean squared error (RMSE), the hybrid models are up to10.26 and 10.65 percent better than ARIMAX for inflow and outflow series, respectively. It means that ANN performs well in modeling nonlinear correlation of the data and can increase the accuracy of linear model.
NASA Astrophysics Data System (ADS)
Guerra, Solange Maria; Silva, Thiago Christiano; Tabak, Benjamin Miranda; de Souza Penaloza, Rodrigo Andrés; de Castro Miranda, Rodrigo César
2016-01-01
In this paper we present systemic risk measures based on contingent claims approach and banking sector multivariate density. We also apply network measures to analyze bank common risk exposure. The proposed measures aim to capture credit risk stress and its potential to become systemic. These indicators capture not only individual bank vulnerability, but also the stress dependency structure between them. Furthermore, these measures can be quite useful for identifying systemically important banks. The empirical results show that these indicators capture with considerable fidelity the moments of increasing systemic risk in the Brazilian banking sector in recent years.
Pathways towards instability in financial networks
NASA Astrophysics Data System (ADS)
Caldarelli, Guido; Bardoscia, Marco; Caccioli, Fabio; Battiston, Stefano
There is growing consensus that processes of market integration and risk diversification may come at the price of more systemic risk. Indeed, financial institutions are interconnected in a network of contracts where distress can either be amplified or dampened. However, a mathematical understanding of instability in relation to the network topology is still lacking. In a model financial network, we show that the origin of instability resides in the presence of specific types of cyclical structures, regardless of many of the details of the distress propagation mechanism. In particular, we show the existence of trajectories in the space of graphs along which a complex network turns from stable to unstable, although at each point along the trajectory its nodes satisfy constraints that would apparently make them individually stable. In the financial context, our findings have important implications for policies aimed at increasing financial stability. We illustrate the propositions on a sample dataset for the top 50 EU listed banks between 2008 and 2013. More in general, our results shed light on previous findings on the instability of model ecosystems and are relevant for a broad class of dynamical processes on complex networks.
Networking Biology: The Origins of Sequence-Sharing Practices in Genomics.
Stevens, Hallam
2015-10-01
The wide sharing of biological data, especially nucleotide sequences, is now considered to be a key feature of genomics. Historians and sociologists have attempted to account for the rise of this sharing by pointing to precedents in model organism communities and in natural history. This article supplements these approaches by examining the role that electronic networking technologies played in generating the specific forms of sharing that emerged in genomics. The links between early computer users at the Stanford Artificial Intelligence Laboratory in the 1960s, biologists using local computer networks in the 1970s, and GenBank in the 1980s, show how networking technologies carried particular practices of communication, circulation, and data distribution from computing into biology. In particular, networking practices helped to transform sequences themselves into objects that had value as a community resource.
Handforth, Becky; Hennink, Monique; Schwartz, Marlene B
2013-03-01
Food banks are the foundation of the US emergency food system. Although their primary mission is to alleviate hunger, the rise in obesity and diet-related diseases among food-insecure individuals has led some food bank personnel to actively promote more nutritious products. A qualitative interview approach was used to assess nutrition-related policies and practices among a sample of 20 food banks from the national Feeding America network. Most food bank personnel reported efforts to provide more fresh produce to their communities. Several described nutrition-profiling systems to evaluate the quality of products. Some food banks had implemented nutrition policies to cease distributing low-nutrient products, such as soda and candy; however, these policies were more controversial than other strategies. The obstacles to implementing strong nutrition policies included fear of reducing the total amount of food distributed, discomfort choosing which foods should not be permitted, and concern about jeopardizing relationships with donors and community partners. Empirical research is needed to measure how food bank nutrition policies influence relationships with food donors, the amount of food distributed, the nutritional quality of food distributed, and the contribution of food bank products to the food security and nutritional status of the communities they serve. Copyright © 2013 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.
Estimating topological properties of weighted networks from limited information.
Cimini, Giulio; Squartini, Tiziano; Gabrielli, Andrea; Garlaschelli, Diego
2015-10-01
A problem typically encountered when studying complex systems is the limitedness of the information available on their topology, which hinders our understanding of their structure and of the dynamical processes taking place on them. A paramount example is provided by financial networks, whose data are privacy protected: Banks publicly disclose only their aggregate exposure towards other banks, keeping individual exposures towards each single bank secret. Yet, the estimation of systemic risk strongly depends on the detailed structure of the interbank network. The resulting challenge is that of using aggregate information to statistically reconstruct a network and correctly predict its higher-order properties. Standard approaches either generate unrealistically dense networks, or fail to reproduce the observed topology by assigning homogeneous link weights. Here, we develop a reconstruction method, based on statistical mechanics concepts, that makes use of the empirical link density in a highly nontrivial way. Technically, our approach consists in the preliminary estimation of node degrees from empirical node strengths and link density, followed by a maximum-entropy inference based on a combination of empirical strengths and estimated degrees. Our method is successfully tested on the international trade network and the interbank money market, and represents a valuable tool for gaining insights on privacy-protected or partially accessible systems.
Estimating topological properties of weighted networks from limited information
NASA Astrophysics Data System (ADS)
Cimini, Giulio; Squartini, Tiziano; Gabrielli, Andrea; Garlaschelli, Diego
2015-10-01
A problem typically encountered when studying complex systems is the limitedness of the information available on their topology, which hinders our understanding of their structure and of the dynamical processes taking place on them. A paramount example is provided by financial networks, whose data are privacy protected: Banks publicly disclose only their aggregate exposure towards other banks, keeping individual exposures towards each single bank secret. Yet, the estimation of systemic risk strongly depends on the detailed structure of the interbank network. The resulting challenge is that of using aggregate information to statistically reconstruct a network and correctly predict its higher-order properties. Standard approaches either generate unrealistically dense networks, or fail to reproduce the observed topology by assigning homogeneous link weights. Here, we develop a reconstruction method, based on statistical mechanics concepts, that makes use of the empirical link density in a highly nontrivial way. Technically, our approach consists in the preliminary estimation of node degrees from empirical node strengths and link density, followed by a maximum-entropy inference based on a combination of empirical strengths and estimated degrees. Our method is successfully tested on the international trade network and the interbank money market, and represents a valuable tool for gaining insights on privacy-protected or partially accessible systems.
Local area networking in a radio quiet environment
NASA Astrophysics Data System (ADS)
Childers, Edwin L.; Hunt, Gareth; Brandt, Joseph J.
2002-11-01
The Green Bank facility of the National Radio Astronomy Observatory is spread out over 2,700 acres in the Allegheny Mountains of West Virginia. Good communication has always been needed between the radio telescopes and the control buildings. The National Radio Quiet Zone helps protect the Green Bank site from radio transmissions that interfere with the astronomical signals. Due to stringent Radio Frequency Interference (RFI) requirements, a fiber optic communication system was used for Ethernet transmissions on the site and coaxial cable within the buildings. With the need for higher speed communications, the entire network has been upgraded to use optical fiber with modern Ethernet switches. As with most modern equipment, the implementation of the control of the newly deployed Green Bank Telescope (GBT) depends heavily on TCP/IP. In order to protect the GBT from the commodity Internet, the GBT uses a non-routable network. Communication between the control building Local Area Network (LAN) and the GBT is implemented using a Virtual LAN (VLAN). This configuration will be extended to achieve isolation between trusted local user systems, the GBT, and other Internet users. Legitimate access to the site, for example by remote observers, is likely to be implemented using a virtual private network (VPN).
A High Performance VLSI Computer Architecture For Computer Graphics
NASA Astrophysics Data System (ADS)
Chin, Chi-Yuan; Lin, Wen-Tai
1988-10-01
A VLSI computer architecture, consisting of multiple processors, is presented in this paper to satisfy the modern computer graphics demands, e.g. high resolution, realistic animation, real-time display etc.. All processors share a global memory which are partitioned into multiple banks. Through a crossbar network, data from one memory bank can be broadcasted to many processors. Processors are physically interconnected through a hyper-crossbar network (a crossbar-like network). By programming the network, the topology of communication links among processors can be reconfigurated to satisfy specific dataflows of different applications. Each processor consists of a controller, arithmetic operators, local memory, a local crossbar network, and I/O ports to communicate with other processors, memory banks, and a system controller. Operations in each processor are characterized into two modes, i.e. object domain and space domain, to fully utilize the data-independency characteristics of graphics processing. Special graphics features such as 3D-to-2D conversion, shadow generation, texturing, and reflection, can be easily handled. With the current high density interconnection (MI) technology, it is feasible to implement a 64-processor system to achieve 2.5 billion operations per second, a performance needed in most advanced graphics applications.
Simulating economic effects of disruptions in the telecommunications infrastructure.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Cox, Roger Gary; Barton, Dianne Catherine; Reinert, Rhonda K.
2004-01-01
CommAspen is a new agent-based model for simulating the interdependent effects of market decisions and disruptions in the telecommunications infrastructure on other critical infrastructures in the U.S. economy such as banking and finance, and electric power. CommAspen extends and modifies the capabilities of Aspen-EE, an agent-based model previously developed by Sandia National Laboratories to analyze the interdependencies between the electric power system and other critical infrastructures. CommAspen has been tested on a series of scenarios in which the communications network has been disrupted, due to congestion and outages. Analysis of the scenario results indicates that communications networks simulated by themore » model behave as their counterparts do in the real world. Results also show that the model could be used to analyze the economic impact of communications congestion and outages.« less
Blood banking services in India.
Sardana, V N
1996-01-01
India's health care sector has made impressive strides toward providing health for all by the year 2000. That progress, however, has not been supported by a modern transfusion services network which continues to improve itself. In India, blood collection, storage, and delivery occur mainly in blood banks attached to hospitals, most of which are under central and state government controls. A significant portion of blood banking activity is also done by voluntary agencies and private sector blood banks. A study found the blood transfusion services infrastructure to be highly decentralized and lacking of many critical resources; an overall shortage of blood, especially from volunteer donors; limited and erratic testing facilities; an extremely limited blood component production/availability/use; and a shortage of health care professionals in the field of transfusion services. Infrastructural modernization and the technical upgrading of skills in the blood banks would, however, provide India with a dynamic transfusion services network. The safety of blood transfusion, the national blood safety program, HIV testing facilities, modernization of blood banks, the rational use of blood, program management, manpower development, the legal framework, voluntary blood donation, and a 1996 Supreme Court judgement on the need to focus greater attention upon the blood program are discussed.
A simplified GIS-based model for large wood recruitment and connectivity in mountain basins
NASA Astrophysics Data System (ADS)
Lucía, Ana; Antonello, Andrea; Campana, Daniela; Cavalli, Marco; Crema, Stefano; Franceschi, Silvia; Marchese, Enrico; Niedrist, Martin; Schneiderbauer, Stefan; Comiti, Francesco
2014-05-01
The mobilization of large wood (LW) elements in mountain rivers channels during floods may increase their hazard potential, especially by clogging narrow sections such as bridges. However, the prediction of LW transport magnitude during flood events is a challenging topic. Although some models on LW transport have been recently developed, the objective of this work was to generate a simplified GIS-based model to identify along the channel network the most likely LW-related critical sections during high-magnitude flood events in forested mountain basins. Potential LW contribution generated by landsliding occurring on hillslopes is assessed using SHALSTAB stability model coupled to a GIS-based connectivity index, developed as a modification of the index proposed by Cavalli et al (2013). Connected slope-derived LW volumes are then summed at each raster cell to LW volumes generated by bank erosion along the erodibile part of river corridors, where bank erosion processes are estimated based on user-defined channel widening ratios stemming from observations following recent extreme events in mountain basins. LW volume in the channel is then routed through the stream network applying simple Boolean rules meant to capture the most important limiting transport condition in these high-energy systems at flood stage, i.e. flow width relative to log length. In addition, the role of bridges and retention check-dams in blocking floating logs is accounted for in the model, in particular bridge length and height are used to characterize their clogging susceptibility for different levels of expected LW volumes and size. The model has been tested in the Rienz and Ahr basins (about 630 km2 each), located in the Eastern Italian Alps. Sixty percent of the basin area is forested, and elevations range from 811 m a.s.l. to 3488 m a.s.l.. We used a 2.5 m resolution DTM and DSM, and their difference was used to calculate the canopy height. Data from 35 plots of the National Forest Inventory were used to estimate forest stand volume by a semi-empirical model. Ddatabase on shallow landslides along with precipitation depth was utilized to calibrate the parameters for the SHALSTAB model. Orthophotos (0.5 m pixel resolution) and existing technical maps were used to delimitate the channel banks, which were used to calculate automatically channel width for each grid cell. The model output provided information about the expected volume and mean size of LW recruited and transported during a 300 yr flood event in the test basins, as well as the location of the most probable clogged sections (mostly related to infrastructures) along the channel network. The model thus shows the capability to assist river managers in identifying the most critical sections of river networks and to assess the effectiveness and location of different mitigation options such as wood retention structures or forest management practices.
A coupled geomorphic and ecological model of tidal marsh evolution.
Kirwan, Matthew L; Murray, A Brad
2007-04-10
The evolution of tidal marsh platforms and interwoven channel networks cannot be addressed without treating the two-way interactions that link biological and physical processes. We have developed a 3D model of tidal marsh accretion and channel network development that couples physical sediment transport processes with vegetation biomass productivity. Tidal flow tends to cause erosion, whereas vegetation biomass, a function of bed surface depth below high tide, influences the rate of sediment deposition and slope-driven transport processes such as creek bank slumping. With a steady, moderate rise in sea level, the model builds a marsh platform and channel network with accretion rates everywhere equal to the rate of sea-level rise, meaning water depths and biological productivity remain temporally constant. An increase in the rate of sea-level rise, or a reduction in sediment supply, causes marsh-surface depths, biomass productivity, and deposition rates to increase while simultaneously causing the channel network to expand. Vegetation on the marsh platform can promote a metastable equilibrium where the platform maintains elevation relative to a rapidly rising sea level, although disturbance to vegetation could cause irreversible loss of marsh habitat.
Default cascades in complex networks: topology and systemic risk.
Roukny, Tarik; Bersini, Hugues; Pirotte, Hugues; Caldarelli, Guido; Battiston, Stefano
2013-09-26
The recent crisis has brought to the fore a crucial question that remains still open: what would be the optimal architecture of financial systems? We investigate the stability of several benchmark topologies in a simple default cascading dynamics in bank networks. We analyze the interplay of several crucial drivers, i.e., network topology, banks' capital ratios, market illiquidity, and random vs targeted shocks. We find that, in general, topology matters only--but substantially--when the market is illiquid. No single topology is always superior to others. In particular, scale-free networks can be both more robust and more fragile than homogeneous architectures. This finding has important policy implications. We also apply our methodology to a comprehensive dataset of an interbank market from 1999 to 2011.
Code of Federal Regulations, 2010 CFR
2010-07-01
... PROCEDURES GOVERNING BANKS, CREDIT UNIONS AND OTHER FINANCIAL INSTITUTIONS ON DOD INSTALLATIONS Guidelines... identification number (PIN). Typically, when the cardholder's account is with a financial institution other than... Forces Financial Network (AFFN), Cirrus, or PLUS) that processes the transaction. (b) Banking institution...
Code of Federal Regulations, 2011 CFR
2011-07-01
... (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY GENERAL PROVISIONS Special... the Federal Reserve Board a Form FR Y-7 that identifies the current owners of the foreign bank as...
Payton, F C; Ginzberg, M J
2001-01-01
Changing business practices, customers needs, and market dynamics have driven many organizations to implement interorganizational systems (IOSs). IOSs have been successfully implemented in the banking, cotton, airline, and consumer-goods industries, and recently attention has turned to the health care industry. This article describes an exploratory study of health care IOS implementations based on the voluntary community health information network (CHIN) model.
NASA Astrophysics Data System (ADS)
Kosal, Haluk; Skoog, Ronald A.
1994-04-01
Signaling System No. 7 (SS7) is designed to provide a connection-less transfer of signaling messages of reasonable length. Customers having access to user signaling bearer capabilities as specified in the ANSI T1.623 and CCITT Q.931 standards can send bursts of correlated messages (e.g., by doing a file transfer that results in the segmentation of a block of data into a number of consecutive signaling messages) through SS7 networks. These message bursts with short interarrival times could have an adverse impact on the delay performance of the SS7 networks. A control mechanism, Credit Manager, is investigated in this paper to regulate incoming traffic to the SS7 network by imposing appropriate time separation between messages when the incoming stream is too bursty. The credit manager has a credit bank where credits accrue at a fixed rate up to a prespecified credit bank capacity. When a message arrives, the number of octets in that message is compared to the number of credits in the bank. If the number of credits is greater than or equal to the number of octets, then the message is accepted for transmission and the number of credits in the bank is decremented by the number of octets. If the number of credits is less than the number of octets, then the message is delayed until enough credits are accumulated. This paper presents simulation results showing delay performance of the SS7 ISUP and TCAP message traffic with a range of correlated message traffic, and control parameters of the credit manager (i.e., credit generation rate and bank capacity) are determined that ensure the traffic entering the SS7 network is acceptable. The results show that control parameters can be set so that for any incoming traffic stream there is no detrimental impact on the SS7 ISUP and TCAP message delay, and the credit manager accepts a wide range of traffic patterns without causing significant delay.
Exploring mobile health in a private online social network.
Memon, Qurban A; Mustafa, Asma Fayes
2015-01-01
Health information is very vulnerable. Certain individuals or corporate organisations will continue to steal it similar to bank account data once data is on wireless channels. Once health information is part of a social network, corresponding privacy issues also surface. Insufficiently trained employees at hospitals that pay less attention to creating a privacy-aware culture will suffer loss when mobile devices containing health information are lost, stolen or sniffed. In this work, a social network system is explored as a m-health system from a privacy perspective. A model is developed within a framework of data-driven privacy and implemented on Android operating system. In order to check feasibility of the proposed model, a prototype application is developed on Facebook for different services, including: i) sharing user location; ii) showing nearby friends; iii) calculating and sharing distance moved, and calories burned; iv) calculating, tracking and sharing user heart rate; etc.
Time banking and health: the role of a community currency organization in enhancing well-being.
Lasker, Judith; Collom, Ed; Bealer, Tara; Niclaus, Erin; Young Keefe, Jessica; Kratzer, Zane; Baldasari, Lauren; Kramer, Ethan; Mandeville, Rachel; Schulman, Julia; Suchow, Danielle; Letcher, Abby; Rogers, Anne; Perlow, Kathy
2011-01-01
Time banking is an international movement that seeks to transform traditional asymmetric social service models into social networks in which members both provide and receive services that are assigned equal value. Time banks have been shown to enhance social capital, and there is some evidence for improved health. This article, based on a survey of 160 members of a hospital-affiliated time bank, examines the likelihood and predictors of improvement in physical and mental health as a result of membership. Men, people with lower income, and those who were not working full-time reported highest levels of participation in exchanging services; attachment to the organization was greatest among women, older members, people with less education, and those with the highest participation levels. Multivariate analyses revealed that physical health improvement attributed to membership was significantly predicted by attachment to the organization and living alone; mental health gains were predicted by general health changes, average number of exchanges, and attachment to the organization. We conclude that a sense of belonging, a dimension of social capital, is key to improved well-being and that time banking may be particularly valuable in promoting health and belonging among older and lower-income individuals and those who live alone.
The Accounting Network: How Financial Institutions React to Systemic Crisis
Puliga, Michelangelo; Flori, Andrea; Pappalardo, Giuseppe; Chessa, Alessandro; Pammolli, Fabio
2016-01-01
The role of Network Theory in the study of the financial crisis has been widely spotted in the latest years. It has been shown how the network topology and the dynamics running on top of it can trigger the outbreak of large systemic crisis. Following this methodological perspective we introduce here the Accounting Network, i.e. the network we can extract through vector similarities techniques from companies’ financial statements. We build the Accounting Network on a large database of worldwide banks in the period 2001–2013, covering the onset of the global financial crisis of mid-2007. After a careful data cleaning, we apply a quality check in the construction of the network, introducing a parameter (the Quality Ratio) capable of trading off the size of the sample (coverage) and the representativeness of the financial statements (accuracy). We compute several basic network statistics and check, with the Louvain community detection algorithm, for emerging communities of banks. Remarkably enough sensible regional aggregations show up with the Japanese and the US clusters dominating the community structure, although the presence of a geographically mixed community points to a gradual convergence of banks into similar supranational practices. Finally, a Principal Component Analysis procedure reveals the main economic components that influence communities’ heterogeneity. Even using the most basic vector similarity hypotheses on the composition of the financial statements, the signature of the financial crisis clearly arises across the years around 2008. We finally discuss how the Accounting Networks can be improved to reflect the best practices in the financial statement analysis. PMID:27736865
The Accounting Network: How Financial Institutions React to Systemic Crisis.
Puliga, Michelangelo; Flori, Andrea; Pappalardo, Giuseppe; Chessa, Alessandro; Pammolli, Fabio
2016-01-01
The role of Network Theory in the study of the financial crisis has been widely spotted in the latest years. It has been shown how the network topology and the dynamics running on top of it can trigger the outbreak of large systemic crisis. Following this methodological perspective we introduce here the Accounting Network, i.e. the network we can extract through vector similarities techniques from companies' financial statements. We build the Accounting Network on a large database of worldwide banks in the period 2001-2013, covering the onset of the global financial crisis of mid-2007. After a careful data cleaning, we apply a quality check in the construction of the network, introducing a parameter (the Quality Ratio) capable of trading off the size of the sample (coverage) and the representativeness of the financial statements (accuracy). We compute several basic network statistics and check, with the Louvain community detection algorithm, for emerging communities of banks. Remarkably enough sensible regional aggregations show up with the Japanese and the US clusters dominating the community structure, although the presence of a geographically mixed community points to a gradual convergence of banks into similar supranational practices. Finally, a Principal Component Analysis procedure reveals the main economic components that influence communities' heterogeneity. Even using the most basic vector similarity hypotheses on the composition of the financial statements, the signature of the financial crisis clearly arises across the years around 2008. We finally discuss how the Accounting Networks can be improved to reflect the best practices in the financial statement analysis.
Proposal for a telehealth concept in the translational research model
Silva, Angélica Baptista; Morel, Carlos Médicis; de Moraes, Ilara Hämmerli Sozzi
2014-01-01
OBJECTIVE To review the conceptual relationship between telehealth and translational research. METHODS Bibliographical search on telehealth was conducted in the Scopus, Cochrane BVS, LILACS and MEDLINE databases to find experiences of telehealth in conjunction with discussion of translational research in health. The search retrieved eight studies based on analysis of models of the five stages of translational research and the multiple strands of public health policy in the context of telehealth in Brazil. The models were applied to telehealth activities concerning the Network of Human Milk Banks, in the Telemedicine University Network. RESULTS The translational research cycle of human milk collected, stored and distributed presents several integrated telehealth initiatives, such as video conferencing, and software and portals for synthesizing knowledge, composing elements of an information ecosystem, mediated by information and communication technologies in the health system. CONCLUSIONS Telehealth should be composed of a set of activities in a computer mediated network promoting the translation of knowledge between research and health services. PMID:24897057
Enhanced capital-asset pricing model for the reconstruction of bipartite financial networks.
Squartini, Tiziano; Almog, Assaf; Caldarelli, Guido; van Lelyveld, Iman; Garlaschelli, Diego; Cimini, Giulio
2017-09-01
Reconstructing patterns of interconnections from partial information is one of the most important issues in the statistical physics of complex networks. A paramount example is provided by financial networks. In fact, the spreading and amplification of financial distress in capital markets are strongly affected by the interconnections among financial institutions. Yet, while the aggregate balance sheets of institutions are publicly disclosed, information on single positions is mostly confidential and, as such, unavailable. Standard approaches to reconstruct the network of financial interconnection produce unrealistically dense topologies, leading to a biased estimation of systemic risk. Moreover, reconstruction techniques are generally designed for monopartite networks of bilateral exposures between financial institutions, thus failing in reproducing bipartite networks of security holdings (e.g., investment portfolios). Here we propose a reconstruction method based on constrained entropy maximization, tailored for bipartite financial networks. Such a procedure enhances the traditional capital-asset pricing model (CAPM) and allows us to reproduce the correct topology of the network. We test this enhanced CAPM (ECAPM) method on a dataset, collected by the European Central Bank, of detailed security holdings of European institutional sectors over a period of six years (2009-2015). Our approach outperforms the traditional CAPM and the recently proposed maximum-entropy CAPM both in reproducing the network topology and in estimating systemic risk due to fire sales spillovers. In general, ECAPM can be applied to the whole class of weighted bipartite networks described by the fitness model.
Enhanced capital-asset pricing model for the reconstruction of bipartite financial networks
NASA Astrophysics Data System (ADS)
Squartini, Tiziano; Almog, Assaf; Caldarelli, Guido; van Lelyveld, Iman; Garlaschelli, Diego; Cimini, Giulio
2017-09-01
Reconstructing patterns of interconnections from partial information is one of the most important issues in the statistical physics of complex networks. A paramount example is provided by financial networks. In fact, the spreading and amplification of financial distress in capital markets are strongly affected by the interconnections among financial institutions. Yet, while the aggregate balance sheets of institutions are publicly disclosed, information on single positions is mostly confidential and, as such, unavailable. Standard approaches to reconstruct the network of financial interconnection produce unrealistically dense topologies, leading to a biased estimation of systemic risk. Moreover, reconstruction techniques are generally designed for monopartite networks of bilateral exposures between financial institutions, thus failing in reproducing bipartite networks of security holdings (e.g., investment portfolios). Here we propose a reconstruction method based on constrained entropy maximization, tailored for bipartite financial networks. Such a procedure enhances the traditional capital-asset pricing model (CAPM) and allows us to reproduce the correct topology of the network. We test this enhanced CAPM (ECAPM) method on a dataset, collected by the European Central Bank, of detailed security holdings of European institutional sectors over a period of six years (2009-2015). Our approach outperforms the traditional CAPM and the recently proposed maximum-entropy CAPM both in reproducing the network topology and in estimating systemic risk due to fire sales spillovers. In general, ECAPM can be applied to the whole class of weighted bipartite networks described by the fitness model.
Default Cascades in Complex Networks: Topology and Systemic Risk
Roukny, Tarik; Bersini, Hugues; Pirotte, Hugues; Caldarelli, Guido; Battiston, Stefano
2013-01-01
The recent crisis has brought to the fore a crucial question that remains still open: what would be the optimal architecture of financial systems? We investigate the stability of several benchmark topologies in a simple default cascading dynamics in bank networks. We analyze the interplay of several crucial drivers, i.e., network topology, banks' capital ratios, market illiquidity, and random vs targeted shocks. We find that, in general, topology matters only – but substantially – when the market is illiquid. No single topology is always superior to others. In particular, scale-free networks can be both more robust and more fragile than homogeneous architectures. This finding has important policy implications. We also apply our methodology to a comprehensive dataset of an interbank market from 1999 to 2011. PMID:24067913
[Research resource network and Parkinson disease brain bank donor registration program in Japan].
Arima, Kunimasa
2010-10-01
In spite of the increasing need for brain tissue in biomedical research, overall brain banking activities in Japan has been lagging behind. On the initiative of the National Center of Neurology and Psychiatry, 2 projects have been carried out; the Research Resource Network (RRN) and the Parkinson's Disease Brain Bank (PDBB) donor registration program. RRN is a nation-wide network that links 15 brain repositories, and 1,463 autopsy brains have been registered in this network as of December 2009. The brain donor registration program for PDBB was established in 2006. A donor without cognitive impairment can enroll in this PDBB donor registration program. When the donor dies, the next-of-kin will contact the PDBB coordinators for subsequent autopsy services and brain retention. On obtaining the next-of-kin's consent at the time of donor's death, autopsy will be performed at PDBB collaborating hospitals of National Center of Neurology and Psychiatry, Juntendo University Hospital, and Tokyo Metropolitan Geriatric Hospital. In order to arouse public interest, lecture meetings for citizens have been held on a regular basis. Fifty individuals have registered in the PDBB donor registration program including 27 patients with PD, 4 patient with Parkinson syndrome, 1 patient with progressive supranuclear palsy, and 18 individuals without PD or related disorders as of December 2009. Autopsies have been performed for 2 of these donors. To promote brain banking activities,it is necessary to establish legal and ethical guidelines for the use of autopsied materials in biomedical research.
Abayomi, A; Goodridge, W; Asika, O
2006-12-01
Biomedical and demographic data capture and the subsequent management of such information are critical factors in the implementation of any level of healthcare prevention and treatment program. The developing world is seriously handicapped by lack of infrastructure to acquire such data let alone manipulate the information banks for projections, forecasting and priority project planning. With this in mind we set about to use the recent proliferation of wireless cellular networks and easily accessible Personal Digital Assistants (PDA), to devise a means of collecting such data even from the most remote primary healthcare facility. Our priority is aimed at initially at providing a support technology for the HIV expanded program. This technology can be implemented in the absence of computerization and regular power supply. Utilizing a PDA to capture patient data (demographic, clinical and laboratory parameters), the healthcare giver can use a wireless link between the PDA and a cellular phone to transfer the data to a central medical data base. These can then become permanent and secure data banks for future use by health providers, either at the same location or at other health facility that have authorized access to the data bank. It also affords a platform for integrating reference labs into the network as well as the opportunity to disseminate continuing medical educational material. The network can also be adapted to electronic remote consultations and eventually its data banks can be assimilated into protocols of artificial intelligence and data mining.
Information Networks in Biomedicine
ERIC Educational Resources Information Center
Millard, William L.
1975-01-01
Describes current biomedical information networks, focusing on those with an educational function, and elaborates on the problems encountered in planning, implementing, utilizing and evaluating such networks. Journal of Biocommunication, T. Banks, Educ. TV-431N, U. of Calif., San Francisco 94143. Subscription Rates: individuals and libraries,…
12 CFR 235.1 - Authority and purpose.
Code of Federal Regulations, 2014 CFR
2014-01-01
... Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM... is issued by the Board of Governors of the Federal Reserve System (Board) under section 920 of the... limitations, prohibitions on evasion and circumvention, prohibitions on payment card network exclusivity...
12 CFR 235.1 - Authority and purpose.
Code of Federal Regulations, 2012 CFR
2012-01-01
... Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM... is issued by the Board of Governors of the Federal Reserve System (Board) under section 920 of the... limitations, prohibitions on evasion and circumvention, prohibitions on payment card network exclusivity...
12 CFR 235.1 - Authority and purpose.
Code of Federal Regulations, 2013 CFR
2013-01-01
... Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM... is issued by the Board of Governors of the Federal Reserve System (Board) under section 920 of the... limitations, prohibitions on evasion and circumvention, prohibitions on payment card network exclusivity...
NASA Astrophysics Data System (ADS)
Shokrollahpour, Elsa; Hosseinzadeh Lotfi, Farhad; Zandieh, Mostafa
2016-06-01
Efficiency and quality of services are crucial to today's banking industries. The competition in this section has become increasingly intense, as a result of fast improvements in Technology. Therefore, performance analysis of the banking sectors attracts more attention these days. Even though data envelopment analysis (DEA) is a pioneer approach in the literature as of an efficiency measurement tool and finding benchmarks, it is on the other hand unable to demonstrate the possible future benchmarks. The drawback to it could be that the benchmarks it provides us with, may still be less efficient compared to the more advanced future benchmarks. To cover for this weakness, artificial neural network is integrated with DEA in this paper to calculate the relative efficiency and more reliable benchmarks of one of the Iranian commercial bank branches. Therefore, each branch could have a strategy to improve the efficiency and eliminate the cause of inefficiencies based on a 5-year time forecast.
The role of bank collapse on tidal creek ontogeny: A novel process-based model for bank retreat
NASA Astrophysics Data System (ADS)
Gong, Zheng; Zhao, Kun; Zhang, Changkuan; Dai, Weiqi; Coco, Giovanni; Zhou, Zeng
2018-06-01
Bank retreat in coastal tidal flats plays a primary role on the planimetric shape of tidal creeks and is commonly driven by both flow-induced bank erosion and gravity-induced bank collapse. However, existing modelling studies largely focus on bank erosion and overlook bank collapse. We build a bank retreat model coupling hydrodynamics, bank erosion and bank collapse. To simulate the process of bank collapse, a stress-deformation model is utilized to calculate the stress variation of bank soil after bank erosion, and the Mohr-Coulomb failure criterion is then applied to evaluate the stability of the tidal creek bank. Results show that the bank failure process can be categorized into three stages, i.e., shear failure at the bank toe (stage I), tensile failure on the bank top (stage II), and sectional cracking from the bank top to the toe (stage III). With only bank erosion, the planimetric shapes of tidal creeks are funneled due to the gradually seaward increasing discharge. In contrast to bank erosion, bank collapse is discontinuous, and the contribution of bank collapse to bank retreat can reach 85%, highlighting that the expansion of tidal creeks can be dominated by bank collapse process. The planimetric shapes of tidal creeks are funneled with a much faster expansion rate when bank collapse is considered. Overall, this study makes a further step toward more physical and realistic simulation of bank retreat in estuarine and coastal settings and the developed bank collapse module can be readily included in other morphodynamic models.
Multilevel Complex Networks and Systems
NASA Astrophysics Data System (ADS)
Caldarelli, Guido
2014-03-01
Network theory has been a powerful tool to model isolated complex systems. However, the classical approach does not take into account the interactions often present among different systems. Hence, the scientific community is nowadays concentrating the efforts on the foundations of new mathematical tools for understanding what happens when multiple networks interact. The case of economic and financial networks represents a paramount example of multilevel networks. In the case of trade, trade among countries the different levels can be described by the different granularity of the trading relations. Indeed, we have now data from the scale of consumers to that of the country level. In the case of financial institutions, we have a variety of levels at the same scale. For example one bank can appear in the interbank networks, ownership network and cds networks in which the same institution can take place. In both cases the systemically important vertices need to be determined by different procedures of centrality definition and community detection. In this talk I will present some specific cases of study related to these topics and present the regularities found. Acknowledged support from EU FET Project ``Multiplex'' 317532.
[Research on Zhejiang blood information network and management system].
Yan, Li-Xing; Xu, Yan; Meng, Zhong-Hua; Kong, Chang-Hong; Wang, Jian-Min; Jin, Zhen-Liang; Wu, Shi-Ding; Chen, Chang-Shui; Luo, Ling-Fei
2007-02-01
This research was aimed to develop the first level blood information centralized database and real time communication network at a province area in China. Multiple technology like local area network database separate operation, real time data concentration and distribution mechanism, allopatric backup, and optical fiber virtual private network (VPN) were used. As a result, the blood information centralized database and management system were successfully constructed, which covers all the Zhejiang province, and the real time exchange of blood data was realised. In conclusion, its implementation promote volunteer blood donation and ensure the blood safety in Zhejiang, especially strengthen the quick response to public health emergency. This project lays the first stone of centralized test and allotment among blood banks in Zhejiang, and can serve as a reference of contemporary blood bank information systems in China.
31 CFR 1026.620 - Due diligence programs for private banking accounts.
Code of Federal Regulations, 2014 CFR
2014-07-01
... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false Due diligence programs for private banking accounts. 1026.620 Section 1026.620 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR FUTURES...
31 CFR 1026.620 - Due diligence programs for private banking accounts.
Code of Federal Regulations, 2012 CFR
2012-07-01
... 31 Money and Finance:Treasury 3 2012-07-01 2012-07-01 false Due diligence programs for private banking accounts. 1026.620 Section 1026.620 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR FUTURES...
31 CFR 1026.620 - Due diligence programs for private banking accounts.
Code of Federal Regulations, 2013 CFR
2013-07-01
... 31 Money and Finance:Treasury 3 2013-07-01 2013-07-01 false Due diligence programs for private banking accounts. 1026.620 Section 1026.620 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR FUTURES...
31 CFR 1026.620 - Due diligence programs for private banking accounts.
Code of Federal Regulations, 2011 CFR
2011-07-01
... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Due diligence programs for private banking accounts. 1026.620 Section 1026.620 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR FUTURES...
31 CFR 1010.653 - Special measures against Commercial Bank of Syria.
Code of Federal Regulations, 2013 CFR
2013-07-01
... 31 Money and Finance:Treasury 3 2013-07-01 2013-07-01 false Special measures against Commercial Bank of Syria. 1010.653 Section 1010.653 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY GENERAL PROVISIONS...
31 CFR 1010.653 - Special measures against Commercial Bank of Syria.
Code of Federal Regulations, 2012 CFR
2012-07-01
... 31 Money and Finance:Treasury 3 2012-07-01 2012-07-01 false Special measures against Commercial Bank of Syria. 1010.653 Section 1010.653 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY GENERAL PROVISIONS...
31 CFR 1010.653 - Special measures against Commercial Bank of Syria.
Code of Federal Regulations, 2014 CFR
2014-07-01
... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false Special measures against Commercial Bank of Syria. 1010.653 Section 1010.653 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY GENERAL PROVISIONS...
31 CFR 1010.653 - Special measures against Commercial Bank of Syria.
Code of Federal Regulations, 2011 CFR
2011-07-01
... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Special measures against Commercial Bank of Syria. 1010.653 Section 1010.653 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY GENERAL PROVISIONS...
Code of Federal Regulations, 2014 CFR
2014-07-01
... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false General. 1020.300 Section 1020.300 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULE FOR BANKS Reports Required To Be Made By Banks § 1020.300...
Code of Federal Regulations, 2013 CFR
2013-07-01
... 31 Money and Finance:Treasury 3 2013-07-01 2013-07-01 false General. 1020.300 Section 1020.300 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULE FOR BANKS Reports Required To Be Made By Banks § 1020.300...
31 CFR 1023.620 - Due diligence programs for private banking accounts.
Code of Federal Regulations, 2013 CFR
2013-07-01
... Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR BROKERS OR DEALERS IN SECURITIES Special Standards of Diligence; Prohibitions; and Special Measures for Brokers or Dealers in Securities § 1023.620 Due diligence programs for private banking accounts. (a) Refer to § 1010...
Code of Federal Regulations, 2012 CFR
2012-07-01
... (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR BROKERS OR DEALERS IN SECURITIES Special Standards of Diligence; Prohibitions; and Special Measures for Brokers or Dealers in Securities § 1023.630 Prohibition on correspondent accounts for foreign shell banks; records concerning...
31 CFR 1023.620 - Due diligence programs for private banking accounts.
Code of Federal Regulations, 2014 CFR
2014-07-01
... Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR BROKERS OR DEALERS IN SECURITIES Special Standards of Diligence; Prohibitions; and Special Measures for Brokers or Dealers in Securities § 1023.620 Due diligence programs for private banking accounts. (a) Refer to § 1010...
Code of Federal Regulations, 2013 CFR
2013-07-01
... (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR BROKERS OR DEALERS IN SECURITIES Special Standards of Diligence; Prohibitions; and Special Measures for Brokers or Dealers in Securities § 1023.630 Prohibition on correspondent accounts for foreign shell banks; records concerning...
Code of Federal Regulations, 2014 CFR
2014-07-01
... (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR BROKERS OR DEALERS IN SECURITIES Special Standards of Diligence; Prohibitions; and Special Measures for Brokers or Dealers in Securities § 1023.630 Prohibition on correspondent accounts for foreign shell banks; records concerning...
31 CFR 1023.620 - Due diligence programs for private banking accounts.
Code of Federal Regulations, 2011 CFR
2011-07-01
... Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR BROKERS OR DEALERS IN SECURITIES Special Standards of Diligence; Prohibitions; and Special Measures for Brokers or Dealers in Securities § 1023.620 Due diligence programs for private banking accounts. (a) Refer to § 1010...
31 CFR 1023.620 - Due diligence programs for private banking accounts.
Code of Federal Regulations, 2012 CFR
2012-07-01
... Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR BROKERS OR DEALERS IN SECURITIES Special Standards of Diligence; Prohibitions; and Special Measures for Brokers or Dealers in Securities § 1023.620 Due diligence programs for private banking accounts. (a) Refer to § 1010...
Code of Federal Regulations, 2011 CFR
2011-07-01
... (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR BROKERS OR DEALERS IN SECURITIES Special Standards of Diligence; Prohibitions; and Special Measures for Brokers or Dealers in Securities § 1023.630 Prohibition on correspondent accounts for foreign shell banks; records concerning...
Expansion of Enterprise Requirements and Acquisition Model
2012-06-04
upgrades in technology that made it more lethal with a smaller force. Computer technology, GPS, and stealth are just a few examples that allowed...The facility consists of banks of networked computers , large displays all built around a centralized workspace. It can be seen in Figure 3. The...first was to meet a gap in UHF satellite communciations for the Navy. This was satisfied as a Tier-1 program by purchasing additional bandwidth
Dáttilo, Wesley; Lara-Rodríguez, Nubia; Jordano, Pedro; Guimarães, Paulo R; Thompson, John N; Marquis, Robert J; Medeiros, Lucas P; Ortiz-Pulido, Raul; Marcos-García, Maria A; Rico-Gray, Victor
2016-11-30
Trying to unravel Darwin's entangled bank further, we describe the architecture of a network involving multiple forms of mutualism (pollination by animals, seed dispersal by birds and plant protection by ants) and evaluate whether this multi-network shows evidence of a structure that promotes robustness. We found that species differed strongly in their contributions to the organization of the multi-interaction network, and that only a few species contributed to the structuring of these patterns. Moreover, we observed that the multi-interaction networks did not enhance community robustness compared with each of the three independent mutualistic networks when analysed across a range of simulated scenarios of species extinction. By simulating the removal of highly interacting species, we observed that, overall, these species enhance network nestedness and robustness, but decrease modularity. We discuss how the organization of interlinked mutualistic networks may be essential for the maintenance of ecological communities, and therefore the long-term ecological and evolutionary dynamics of interactive, species-rich communities. We suggest that conserving these keystone mutualists and their interactions is crucial to the persistence of species-rich mutualistic assemblages, mainly because they support other species and shape the network organization. © 2016 The Author(s).
NASA Astrophysics Data System (ADS)
Iwashita, Fabio; Brooks, Andrew; Spencer, John; Borombovits, Daniel; Curwen, Graeme; Olley, Jon
2015-04-01
Assessing bank stability using geotechnical models traditionally involves the laborious collection of data on the bank and floodplain stratigraphy, as well as in-situ geotechnical data for each sedimentary unit within a river bank. The application of geotechnical bank stability models are limited to those sites where extensive field data has been collected, where their ability to provide predictions of bank erosion at the reach scale are limited without a very extensive and expensive field data collection program. Some challenges in the construction and application of riverbank erosion and hydraulic numerical models are their one-dimensionality, steady-state requirements, lack of calibration data, and nonuniqueness. Also, numerical models commonly can be too rigid with respect to detecting unexpected features like the onset of trends, non-linear relations, or patterns restricted to sub-samples of a data set. These shortcomings create the need for an alternate modelling approach capable of using available data. The application of the Self-Organizing Maps (SOM) approach is well-suited to the analysis of noisy, sparse, nonlinear, multidimensional, and scale-dependent data. It is a type of unsupervised artificial neural network with hybrid competitive-cooperative learning. In this work we present a method that uses a database of geotechnical data collected at over 100 sites throughout Queensland State, Australia, to develop a modelling approach that enables geotechnical parameters (soil effective cohesion, friction angle, soil erodibility and critical stress) to be derived from sediment particle size data (PSD). The model framework and predicted values were evaluated using two methods, splitting the dataset into training and validation set, and through a Bootstrap approach. The basis of Bootstrap cross-validation is a leave-one-out strategy. This requires leaving one data value out of the training set while creating a new SOM to estimate that missing value based on the remaining data. As a new SOM is created up to 30 times for each value under scrutiny, it forms the basis for a stochastic framework from which residuals are used to evaluate error statistics and model bias. The proposed method is suitable to estimate soil geotechnical properties, revealing and quantifying relationships between geotechnical variables and particle distribution size, not properly observed by linear multivariate statistical approaches.
Overview on radiation and tissue banking in Latin America.
Kairiyama, Eulogia; Martínez Pardo, Maria Esther; Sánchez Noda, Eddy; Otero, Isabel
2018-06-18
The International Atomic Energy Agency (IAEA) played an important role in the establishment of new tissue banks and the improvement of already existing ones in Latin America. The Agency strongly supported, through regional, interregional and national technical cooperation projects, providing equipment, expert missions and training for the production and application of human tissues for transplantation. From 1999 to 2005 five regional courses were given in Buenos Aires under the modality of 1-year distance learning training courses and 1-week face to face courses. The courses were organized by the IAEA, through the National Atomic Energy Commission (CNEA) and the Faculty of Medicine of Buenos Aires University as Post Graduate Specialization Course. In 2005 the Latin American countries joined with Spain and Portugal, and created the Ibero American Network Council of Donation and Transplant (Red Consejo Iberoamericano de Donación y Trasplantes-RCIDT). The objective of this network is to cooperate among twenty-one Ibero American countries in organizational and legislative aspects, training of professionals, and ethical and social issues related to the donation and transplantation of organs, tissues and cells. The members of this Network work actively to harmonize the regulations and the control of donation and transplantation of human organs, tissues and cells. At present, in Latin America, more than 220 facilities of tissues banks are operating and tissue allografts are being produced by single and multi-tissue banks. The efforts made by the governments and professionals from the region allow the tissue banks to operate under quality systems and introduce new technologies.
Design Of Computer Based Test Using The Unified Modeling Language
NASA Astrophysics Data System (ADS)
Tedyyana, Agus; Danuri; Lidyawati
2017-12-01
The Admission selection of Politeknik Negeri Bengkalis through interest and talent search (PMDK), Joint Selection of admission test for state Polytechnics (SB-UMPN) and Independent (UM-Polbeng) were conducted by using paper-based Test (PBT). Paper Based Test model has some weaknesses. They are wasting too much paper, the leaking of the questios to the public, and data manipulation of the test result. This reasearch was Aimed to create a Computer-based Test (CBT) models by using Unified Modeling Language (UML) the which consists of Use Case diagrams, Activity diagram and sequence diagrams. During the designing process of the application, it is important to pay attention on the process of giving the password for the test questions before they were shown through encryption and description process. RSA cryptography algorithm was used in this process. Then, the questions shown in the questions banks were randomized by using the Fisher-Yates Shuffle method. The network architecture used in Computer Based test application was a client-server network models and Local Area Network (LAN). The result of the design was the Computer Based Test application for admission to the selection of Politeknik Negeri Bengkalis.
Early warning system for potential churners among mortgage customers
NASA Astrophysics Data System (ADS)
Irpan, Hamidah Muhd; Aidid, Sharifah Sakinah Syed Hassan; Mohmad, Sarahiza; Ibrahim, Noorazilah
2014-07-01
Retaining existing customer is a major task for many companies because cost to acquire new customers is higher than retaining existing customers. For mortgage business in Bank X, customer relationship management plays a big role to understand their customers' profile and churners so that suitable action can be done to retain their potential churners. Objectives of this study are (1) understanding their customers' profile and churners, (2) modeling potential churners using neural network model and (3) to deploy the model to identify potential churners. Data was divided into two parts: sampling (67,470 cases) and scoring (4,488 cases). Analysis was done using SAS Enterprise Miner. Dependent variable is churner/non churner while independent variables are balance and amount of loan, interest rate offered installment amount, loan performance, months in arrear, vintage, tenure, age, race and gender. Potential churners were identified as Malays, followed by Indian, other races and Chinese. Nonperforming loan and male customers tend to churn compared to performing loan and female customers. Younger customers with small loan amount, balance and monthly instalment, higher interest rate, have many months in arrears, longer vintage and tenure have higher tendency to churn from Bank X. Hence, Bank X should focus on the potential churners for their campaign to minimize the expenses of retaining existing customers by doing an effective campaign with high successful rate.
Comparative Analysis of Human Communication Networks in Selected Formal Organizations.
ERIC Educational Resources Information Center
Farace, Richard V.; Johnson, Jerome David
This paper briefly describes the organization of a "data bank" containing research on communication networks, specifies the kinds of information compiled about various network properties, discusses some specific results of the work done to date, and presents some general conclusions about the overall project and its potential advantages to…
Nacul, Luis; O'Donovan, Dominic G; Lacerda, Eliana M; Gveric, Djordje; Goldring, Kirstin; Hall, Alison; Bowman, Erinna; Pheby, Derek
2014-06-18
Our aim, having previously investigated through a qualitative study involving extensive discussions with experts and patients the issues involved in establishing and maintaining a disease specific brain and tissue bank for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), was to develop a protocol for a UK ME/CFS repository of high quality human tissue from well characterised subjects with ME/CFS and controls suitable for a broad range of research applications. This would involve a specific donor program coupled with rapid tissue collection and processing, supplemented by comprehensive prospectively collected clinical, laboratory and self-assessment data from cases and controls. We reviewed the operations of existing tissue banks from published literature and from their internal protocols and standard operating procedures (SOPs). On this basis, we developed the protocol presented here, which was designed to meet high technical and ethical standards and legal requirements and was based on recommendations of the MRC UK Brain Banks Network. The facility would be most efficient and cost-effective if incorporated into an existing tissue bank. Tissue collection would be rapid and follow robust protocols to ensure preservation sufficient for a wide range of research uses. A central tissue bank would have resources both for wide-scale donor recruitment and rapid response to donor death for prompt harvesting and processing of tissue. An ME/CFS brain and tissue bank could be established using this protocol. Success would depend on careful consideration of logistic, technical, legal and ethical issues, continuous consultation with patients and the donor population, and a sustainable model of funding ideally involving research councils, health services, and patient charities. This initiative could revolutionise the understanding of this still poorly-understood disease and enhance development of diagnostic biomarkers and treatments.
Sanaa, Adnen; Ben Abid, Samir; Boulila, Abdennacer; Messaoud, Chokri; Boussaid, Mohamed; Ben Fadhel, Najeh
2016-06-01
Ecological systems are known to exchange genetic material through animal species migration and seed dispersal for plants. Isolated plant populations have developed long distance dispersal as a means of propagation which rely on meteorological such as anemochory and hydrochory for coast, island and river bank dwelling species. Long distance dispersal by water, in particular, in the case of water current bound islands, calls for the analogy with computer networks, where each island and nearby mainland site plays the role of a network node, the water currents play the role of a transmission channel, and water borne seeds as data packets. In this paper we explore this analogy to model long distance dispersal of seeds among island and mainland populations, when traversed with water currents, in order to model and predict their future genetic diversity. The case of Pancratium maritimum L. populations in Tunisia is used as a proof of concept, where their genetic diversity is extrapolated. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Cartwright, Jennifer M.; Diehl, Timothy H.
2017-01-17
High-resolution digital elevation models (DEMs) derived from light detection and ranging (lidar) enable investigations of stream-channel geomorphology with much greater precision than previously possible. The U.S. Geological Survey has developed the DEM Geomorphology Toolbox, containing seven tools to automate the identification of sites of geomorphic instability that may represent sediment sources and sinks in stream-channel networks. These tools can be used to modify input DEMs on the basis of known locations of stormwater infrastructure, derive flow networks at user-specified resolutions, and identify possible sites of geomorphic instability including steep banks, abrupt changes in channel slope, or areas of rough terrain. Field verification of tool outputs identified several tool limitations but also demonstrated their overall usefulness in highlighting likely sediment sources and sinks within channel networks. In particular, spatial clusters of outputs from multiple tools can be used to prioritize field efforts to assess and restore eroding stream reaches.
Cascades in multiplex financial networks with debts of different seniority
NASA Astrophysics Data System (ADS)
Brummitt, Charles D.; Kobayashi, Teruyoshi
2015-06-01
The seniority of debt, which determines the order in which a bankrupt institution repays its debts, is an important and sometimes contentious feature of financial crises, yet its impact on systemwide stability is not well understood. We capture seniority of debt in a multiplex network, a graph of nodes connected by multiple types of edges. Here an edge between banks denotes a debt contract of a certain level of seniority. Next we study cascading default. There exist multiple kinds of bankruptcy, indexed by the highest level of seniority at which a bank cannot repay all its debts. Self-interested banks would prefer that all their loans be made at the most senior level. However, mixing debts of different seniority levels makes the system more stable in that it shrinks the set of network densities for which bankruptcies spread widely. We compute the optimal ratio of senior to junior debts, which we call the optimal seniority ratio, for two uncorrelated Erdős-Rényi networks. If institutions erode their buffer against insolvency, then this optimal seniority ratio rises; in other words, if default thresholds fall, then more loans should be senior. We generalize the analytical results to arbitrarily many levels of seniority and to heavy-tailed degree distributions.
Cascades in multiplex financial networks with debts of different seniority.
Brummitt, Charles D; Kobayashi, Teruyoshi
2015-06-01
The seniority of debt, which determines the order in which a bankrupt institution repays its debts, is an important and sometimes contentious feature of financial crises, yet its impact on systemwide stability is not well understood. We capture seniority of debt in a multiplex network, a graph of nodes connected by multiple types of edges. Here an edge between banks denotes a debt contract of a certain level of seniority. Next we study cascading default. There exist multiple kinds of bankruptcy, indexed by the highest level of seniority at which a bank cannot repay all its debts. Self-interested banks would prefer that all their loans be made at the most senior level. However, mixing debts of different seniority levels makes the system more stable in that it shrinks the set of network densities for which bankruptcies spread widely. We compute the optimal ratio of senior to junior debts, which we call the optimal seniority ratio, for two uncorrelated Erdős-Rényi networks. If institutions erode their buffer against insolvency, then this optimal seniority ratio rises; in other words, if default thresholds fall, then more loans should be senior. We generalize the analytical results to arbitrarily many levels of seniority and to heavy-tailed degree distributions.
Federal Register 2010, 2011, 2012, 2013, 2014
2013-02-22
...; MEASAT Broadcast Network Systems Sdn Bhd (MBNS--Astro), Bukit Jalil, MALAYSIA; MicroNova AG, Vierkirchen..., CT; Deutsche Bank, New York, NY; Enghouse Networks Limited, Markham, CANADA; Focus Consulting...
An analysis of river bank slope and unsaturated flow effects on bank storage.
Doble, Rebecca; Brunner, Philip; McCallum, James; Cook, Peter G
2012-01-01
Recognizing the underlying mechanisms of bank storage and return flow is important for understanding streamflow hydrographs. Analytical models have been widely used to estimate the impacts of bank storage, but are often based on assumptions of conditions that are rarely found in the field, such as vertical river banks and saturated flow. Numerical simulations of bank storage and return flow in river-aquifer cross sections with vertical and sloping banks were undertaken using a fully-coupled, surface-subsurface flow model. Sloping river banks were found to increase the bank infiltration rates by 98% and storage volume by 40% for a bank slope of 3.4° from horizontal, and for a slope of 8.5°, delay bank return flow by more than four times compared with vertical river banks and saturated flow. The results suggested that conventional analytical approximations cannot adequately be used to quantify bank storage when bank slope is less than 60° from horizontal. Additionally, in the unconfined aquifers modeled, the analytical solutions did not accurately model bank storage and return flow even in rivers with vertical banks due to a violation of the dupuit assumption. Bank storage and return flow were also modeled for more realistic cross sections and river hydrograph from the Fitzroy River, Western Australia, to indicate the importance of accurately modeling sloping river banks at a field scale. Following a single wet season flood event of 12 m, results showed that it may take over 3.5 years for 50% of the bank storage volume to return to the river. © 2011, The Author(s). Ground Water © 2011, National Ground Water Association.
Chizinski, Christopher J.; Martin, Dustin R.; Shizuka, Daizaburo; Pope, Kevin L.
2018-01-01
Networks used to study interactions could provide insights to fisheries. We compiled data from 27 297 interviews of anglers across waterbodies that ranged in size from 1 to 12 113 ha. Catch rates of fish species among anglers grouped by species targeted generally differed between angling methods (bank or boat). We constructed angler–catch bipartite networks (angling method specific) between anglers and fish and measured several network metrics. There was considerable variation in networks among waterbodies, with multiple metrics influenced by waterbody size. Number of species-targeting angler groups and number of fish species caught increased with increasing waterbody size. Mean number of links for species-targeting angler groups and fish species caught also increased with waterbody size. Connectance (realized proportion of possible links) of angler–catch interaction networks decreased slower for boat anglers than for bank anglers with increasing waterbody size. Network specialization (deviation of number of interactions from expected) was not significantly related to waterbody size or angling methods. Application of bipartite networks in fishery science requires careful interpretation of outputs, especially considering the numerous confounding factors prevalent in recreational fisheries.
Charles Hutton and the ‘Dissensions’ of 1783–84: scientific networking and its failures
Wardhaugh, Benjamin Sutherland
2017-01-01
This paper proposes a fresh look at the ‘Dissensions’ that held up scientific business at the Royal Society during the spring of 1784. It focuses attention on the career and personal networks of Charles Hutton, whose dismissal from the role of Foreign Secretary ignited the row. It shows that the incident had no single cause but was the outcome of several factors that made Hutton intolerable to Joseph Banks, President of the Society, and of several factors that made Banks unpopular as President among a group of about 40 otherwise rather disparate Fellows.
Code of Federal Regulations, 2012 CFR
2012-07-01
... 31 Money and Finance:Treasury 3 2012-07-01 2012-07-01 false Summons or subpoena of foreign bank records; termination of correspondent relationship. 1026.670 Section 1026.670 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE...
Code of Federal Regulations, 2011 CFR
2011-07-01
... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Summons or subpoena of foreign bank records; termination of correspondent relationship. 1026.670 Section 1026.670 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE...
Code of Federal Regulations, 2014 CFR
2014-07-01
... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false Summons or subpoena of foreign bank records; termination of correspondent relationship. 1026.670 Section 1026.670 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE...
Code of Federal Regulations, 2013 CFR
2013-07-01
... 31 Money and Finance:Treasury 3 2013-07-01 2013-07-01 false Summons or subpoena of foreign bank records; termination of correspondent relationship. 1026.670 Section 1026.670 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE...
Code of Federal Regulations, 2012 CFR
2012-07-01
... 31 Money and Finance:Treasury 3 2012-07-01 2012-07-01 false Summons or subpoena of foreign bank records; termination of correspondent relationship. 1010.670 Section 1010.670 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE...
Code of Federal Regulations, 2011 CFR
2011-07-01
... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Summons or subpoena of foreign bank records; termination of correspondent relationship. 1010.670 Section 1010.670 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE...
Code of Federal Regulations, 2013 CFR
2013-07-01
... 31 Money and Finance:Treasury 3 2013-07-01 2013-07-01 false Summons or subpoena of foreign bank records; termination of correspondent relationship. 1010.670 Section 1010.670 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE...
Code of Federal Regulations, 2014 CFR
2014-07-01
... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false Summons or subpoena of foreign bank records; termination of correspondent relationship. 1010.670 Section 1010.670 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE...
Code of Federal Regulations, 2012 CFR
2012-07-01
... Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR BROKERS OR DEALERS IN SECURITIES Special Standards of Diligence; Prohibitions; and Special Measures for Brokers or Dealers in Securities § 1023.670 Summons or subpoena of foreign bank...
Code of Federal Regulations, 2011 CFR
2011-07-01
... Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR BROKERS OR DEALERS IN SECURITIES Special Standards of Diligence; Prohibitions; and Special Measures for Brokers or Dealers in Securities § 1023.670 Summons or subpoena of foreign bank...
Code of Federal Regulations, 2013 CFR
2013-07-01
... Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR BROKERS OR DEALERS IN SECURITIES Special Standards of Diligence; Prohibitions; and Special Measures for Brokers or Dealers in Securities § 1023.670 Summons or subpoena of foreign bank...
Code of Federal Regulations, 2014 CFR
2014-07-01
... Regulations Relating to Money and Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR BROKERS OR DEALERS IN SECURITIES Special Standards of Diligence; Prohibitions; and Special Measures for Brokers or Dealers in Securities § 1023.670 Summons or subpoena of foreign bank...
Establishing a Multi-scale Stream Gaging Network in the Whitewater River Basin, Kansas, USA
Clayton, J.A.; Kean, J.W.
2010-01-01
Investigating the routing of streamflow through a large drainage basin requires the determination of discharge at numerous locations in the channel network. Establishing a dense network of stream gages using conventional methods is both cost-prohibitive and functionally impractical for many research projects. We employ herein a previously tested, fluid-mechanically based model for generating rating curves to establish a stream gaging network in the Whitewater River basin in south-central Kansas. The model was developed for the type of channels typically found in this watershed, meaning that it is designed to handle deep, narrow geomorphically stable channels with irregular planforms, and can model overbank flow over a vegetated floodplain. We applied the model to ten previously ungaged stream reaches in the basin, ranging from third- to sixth-order channels. At each site, detailed field measurements of the channel and floodplain morphology, bed and bank roughness, and vegetation characteristics were used to quantify the roughness for a range of flow stages, from low flow to overbank flooding. Rating curves that relate stage to discharge were developed for all ten sites. Both fieldwork and modeling were completed in less than 2 years during an anomalously dry period in the region, which underscores an advantage of using theoretically based (as opposed to empirically based) discharge estimation techniques. ?? 2010 Springer Science+Business Media B.V.
Fractal Inequality: A Social Network Analysis of Global and Regional International Student Mobility
ERIC Educational Resources Information Center
Macrander, Ashley
2017-01-01
Literature on global international student mobility (ISM) highlights the uneven nature of student flows--from the developing to the developed world--however, studies have yet to address whether this pattern is replicated within expanding regional networks. Utilizing social network analysis, UNESCO ISM data, and World Bank income classifications,…
A climate stress-test of the financial system
NASA Astrophysics Data System (ADS)
Battiston, Stefano; Mandel, Antoine; Monasterolo, Irene; Schütze, Franziska; Visentin, Gabriele
2017-03-01
The urgency of estimating the impact of climate risks on the financial system is increasingly recognized among scholars and practitioners. By adopting a network approach to financial dependencies, we look at how climate policy risk might propagate through the financial system. We develop a network-based climate stress-test methodology and apply it to large Euro Area banks in a `green' and a `brown' scenario. We find that direct and indirect exposures to climate-policy-relevant sectors represent a large portion of investors' equity portfolios, especially for investment and pension funds. Additionally, the portion of banks' loan portfolios exposed to these sectors is comparable to banks' capital. Our results suggest that climate policy timing matters. An early and stable policy framework would allow for smooth asset value adjustments and lead to potential net winners and losers. In contrast, a late and abrupt policy framework could have adverse systemic consequences.
Network Science Center Research Team’s Visit to Kampala, Uganda
2013-07-01
Religious Leader • Someone in Social Network • Commercial Bank • White Collar Professional • Military Leader 18 | P a g e Network Science...relationship between the person under analysis and the people within the social network (Van Der Gaag & Snijders, 2004). 2 | P a g e Network...energetic and tech savvy. 3 | P a g e Network Science Center, West Point www.netscience.usma.edu 845.938.0804 Our team’s next data collection effort
12 CFR 573.2 - Model privacy form and examples.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 6 2014-01-01 2012-01-01 true Model privacy form and examples. 573.2 Section 573.2 Banks and Banking OFFICE OF THRIFT SUPERVISION, DEPARTMENT OF THE TREASURY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 573.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
12 CFR 40.2 - Model privacy form and examples.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 12 Banks and Banking 1 2011-01-01 2011-01-01 false Model privacy form and examples. 40.2 Section 40.2 Banks and Banking COMPTROLLER OF THE CURRENCY, DEPARTMENT OF THE TREASURY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 40.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
12 CFR 573.2 - Model privacy form and examples.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 12 Banks and Banking 5 2011-01-01 2011-01-01 false Model privacy form and examples. 573.2 Section 573.2 Banks and Banking OFFICE OF THRIFT SUPERVISION, DEPARTMENT OF THE TREASURY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 573.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
12 CFR 40.2 - Model privacy form and examples.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 1 2014-01-01 2014-01-01 false Model privacy form and examples. 40.2 Section 40.2 Banks and Banking COMPTROLLER OF THE CURRENCY, DEPARTMENT OF THE TREASURY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 40.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
12 CFR 1016.2 - Model privacy form and examples.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 8 2013-01-01 2013-01-01 false Model privacy form and examples. 1016.2 Section 1016.2 Banks and Banking BUREAU OF CONSUMER FINANCIAL PROTECTION PRIVACY OF CONSUMER FINANCIAL INFORMATION (REGULATION P) § 1016.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
12 CFR 40.2 - Model privacy form and examples.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 1 2013-01-01 2013-01-01 false Model privacy form and examples. 40.2 Section 40.2 Banks and Banking COMPTROLLER OF THE CURRENCY, DEPARTMENT OF THE TREASURY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 40.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
12 CFR 1016.2 - Model privacy form and examples.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 8 2014-01-01 2014-01-01 false Model privacy form and examples. 1016.2 Section 1016.2 Banks and Banking BUREAU OF CONSUMER FINANCIAL PROTECTION PRIVACY OF CONSUMER FINANCIAL INFORMATION (REGULATION P) § 1016.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
12 CFR 573.2 - Model privacy form and examples.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 6 2012-01-01 2012-01-01 false Model privacy form and examples. 573.2 Section 573.2 Banks and Banking OFFICE OF THRIFT SUPERVISION, DEPARTMENT OF THE TREASURY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 573.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
12 CFR 573.2 - Model privacy form and examples.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 6 2013-01-01 2012-01-01 true Model privacy form and examples. 573.2 Section 573.2 Banks and Banking OFFICE OF THRIFT SUPERVISION, DEPARTMENT OF THE TREASURY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 573.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
12 CFR 1016.2 - Model privacy form and examples.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 8 2012-01-01 2012-01-01 false Model privacy form and examples. 1016.2 Section 1016.2 Banks and Banking BUREAU OF CONSUMER FINANCIAL PROTECTION PRIVACY OF CONSUMER FINANCIAL INFORMATION (REGULATION P) § 1016.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
12 CFR 40.2 - Model privacy form and examples.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 1 2012-01-01 2012-01-01 false Model privacy form and examples. 40.2 Section 40.2 Banks and Banking COMPTROLLER OF THE CURRENCY, DEPARTMENT OF THE TREASURY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 40.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
12 CFR 40.2 - Model privacy form and examples.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 1 2010-01-01 2010-01-01 false Model privacy form and examples. 40.2 Section 40.2 Banks and Banking COMPTROLLER OF THE CURRENCY, DEPARTMENT OF THE TREASURY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 40.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
12 CFR 573.2 - Model privacy form and examples.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 5 2010-01-01 2010-01-01 false Model privacy form and examples. 573.2 Section 573.2 Banks and Banking OFFICE OF THRIFT SUPERVISION, DEPARTMENT OF THE TREASURY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 573.2 Model privacy form and examples. (a) Model privacy form. Use of the model...
Pilkonis, Paul A.; Yu, Lan; Dodds, Nathan E.; Johnston, Kelly L.; Lawrence, Suzanne; Hilton, Thomas F.; Daley, Dennis C.; Patkar, Ashwin A.; McCarty, Dennis
2015-01-01
Background Two item banks for substance use were developed as part of the Patient-Reported Outcomes Measurement Information System (PROMIS®): severity of substance use and positive appeal of substance use. Methods Qualitative item analysis (including focus groups, cognitive interviewing, expert review, and item revision) reduced an initial pool of more than 5,300 items for substance use to 119 items included in field testing. Items were written in a first-person, past-tense format, with 5 response options reflecting frequency or severity. Both 30-day and 3-month time frames were tested. The calibration sample of 1,336 respondents included 875 individuals from the general population (ascertained through an internet panel) and 461patients from addiction treatment centers participating in the National Drug Abuse Treatment Clinical Trials Network. Results Final banks of 37 and 18 items were calibrated for severity of substance use and positive appeal of substance use, respectively, using the two-parameter graded response model from item response theory (IRT). Initial calibrations were similar for the 30-day and 3-month time frames, and final calibrations used data combined across the time frames, making the items applicable with either interval. Seven-item static short forms were also developed from each item bank. Conclusions Test information curves showed that the PROMIS item banks provided substantial information in a broad range of severity, making them suitable for treatment, observational, and epidemiological research in both clinical and community settings. PMID:26423364
Network Science Center Research Team’s Visit to Kampala, Uganda
2013-07-01
Commercial Bank • White Collar Professional • Military Leader 18 | P a g e Network Science Center, West Point www.netscience.usma.edu...people within the social network (Van Der Gaag & Snijders, 2004). 2 | P a g e Network Science Center, West Point www.netscience.usma.edu...University, one of the leading universities in Sub-Saharan Africa. The student body is energetic and tech savvy. 3 | P a g e Network Science
12 CFR 235.8 - Reporting requirements and record retention.
Code of Federal Regulations, 2012 CFR
2012-01-01
.... 235.8 Section 235.8 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE... the requirements of this part under § 235.5(a) and each payment card network shall file a report with the Board in accordance with this section. (b) Report. Each entity required to file a report with the...
12 CFR 235.8 - Reporting requirements and record retention.
Code of Federal Regulations, 2014 CFR
2014-01-01
.... 235.8 Section 235.8 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE... the requirements of this part under § 235.5(a) and each payment card network shall file a report with the Board in accordance with this section. (b) Report. Each entity required to file a report with the...
12 CFR 235.8 - Reporting requirements and record retention.
Code of Federal Regulations, 2013 CFR
2013-01-01
.... 235.8 Section 235.8 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE... the requirements of this part under § 235.5(a) and each payment card network shall file a report with the Board in accordance with this section. (b) Report. Each entity required to file a report with the...
Federal Register 2010, 2011, 2012, 2013, 2014
2010-10-15
...; Amendment to the Bank Secrecy Act Regulations; Defining Mutual Funds as Financial Institutions; Extension of... those provisions in 31 CFR 103.33 that apply to mutual funds. On April 14, 2010, FinCEN issued a final rule that included mutual funds within the general definition of ``financial institution'' in...
Documenting the doable and doing the documented: bridging strategies at the UK Stem Cell Bank.
Stephens, Neil; Atkinson, Paul; Glasner, Peter
2011-12-01
We explore the local negotiation of regulatory practice at the UK Stem Cell Bank, the first Bank of its type in the world. Basing our empirical work on a detailed analysis of one aspect of the Bank's regulatory commitment--the completion of the Cell Line Information form--we make visible the necessary judgements and labour involved in interpreting and operationalizing externally imposed regulation. The discussion opens by detailing the problems encountered when the Bank completes the form: reconciling a bureaucratic system of accountability with craft-like laboratory skills involving multiple kinds of tacit knowledge. We follow this by explicating the emergent 'bridging strategies' pursued by the Bank to address these issues, highlighting their reliance upon the formation of trust and social networks. The closing discussion emphasizes the contingent assembly of regulatory practices that emerge in the local setting.
Riverbank erosion induced by gravel bar accretion
NASA Astrophysics Data System (ADS)
Klösch, Mario; Habersack, Helmut
2010-05-01
Riverbank erosion is known to be strongly fluvially controlled and determination of shear stresses at the bank surface and at the bank toe is a crucial point in bank erosion modeling. In many modeling attempts hydraulics are simulated separately in a hydrodynamic-numerical model and the simulated shear stresses are further applied onto the bank surface in a bank erosion model. Hydrodynamics are usually simulated at a constant geometry. However, in some cases bed geometry may vary strongly during the event, changing the conditions for hydrodynamics along the bank. This research seeks to investigate the effect of gravel bar accretion during high discharges on final bank retreat. At a restored section of the Drava River bed widenings have been implemented to counter bed degradation. There, in an initiated side-arm, self-dynamic widening strongly affects bed development and long-term connectivity to the main channel. Understanding the riverbank erosion processes there would help to improve planning of future restoration measures. At one riverbank section in the side-arm large bank retreat was measured repeatedly after several flow events. This section is situated between two groins with a distance of 60 m, which act as lateral boundaries to the self-widening channel. In front of this bank section a gravel bar developed. During low flow condition most discharge of the side-arm flows beside the gravel bar along the bank, but shear stresses are too low for triggering bank erosion. For higher discharges results from a two-dimensional hydrodynamic-numerical model suggested shear stresses there to be generally low during the entire events. At some discharges the modeled flow velocities even showed to be recirculating along the bank. These results didn't explain the observed bank retreat. Based on the modeled shear stresses, bank erosion models would have greatly underestimated the bank retreat induced by the investigated events. Repeated surveys after events applying terrestrial photogrammetry, continuous observation of the bank section with a time-lapse camera and continuous measurement of soil hydrological variables showed that around the flow peaks steeper banks collapsed, when matric suction and hence soil shear strength decreased below critical values. But much larger bank erosion with continuous transport of failed blocks from the bank toe was observed to occur during the falling limbs of the hydrographs, when discharge went back to mean flow condition. The flow velocities along the bank then were much larger than at the same discharges during the rising limbs of the hydrographs. Surveys of the riverbed demonstrated a temporary decreased cross section for the flow along the bank because of aggradation and resulting gravel bar accretion during the event. The decreased cross section led to the high flow velocities and shear stresses observed at the end of the events. After every bar accretion, the cross section was re-established by bed degradation along the bank and by massive bank erosion. Monitoring results of the gravel bar accretion and bank retreat are presented. Shear stresses modeled at a constant geometry are compared to the shear stresses modeled when bar accretion was considered. The results highlight the importance of non-equilibrium sediment transport processes during flood events for bank erosion and the need for its consideration in bank erosion modeling. Demonstrated here at a riverbank between groins, bar accretion may play a general role at gravel-bed rivers for bank erosion, particularly near lateral constraints.
Ortiz, Marco; Rodriguez-Zaragoza, Fabián; Hermosillo-Nuñez, Brenda; Jordán, Ferenc
2015-01-01
Ecological and eco-social network models were constructed with different levels of complexity in order to represent and evaluate management strategies for controlling the alien species Pterois volitans in Chinchorro bank (Mexican Caribbean). Levins´s loop analysis was used as a methodological framework for assessing the local stability (considered as a component of sustainability) of the modeled management interventions represented by various scenarios. The results provided by models of different complexity (models 1 through 4) showed that a reduction of coral species cover would drive the system to unstable states. In the absence of the alien lionfish, the simultaneous fishing of large benthic epifaunal species, adult herbivorous fish and adult carnivorous fish could be sustainable only if the coral species present high levels of cover (models 2 and 3). Once the lionfish is added to the simulations (models 4 and 5), the analysis suggests that although the exploitation or removal of lionfish from shallow waters may be locally stable, it remains necessary to implement additional and concurrent human interventions that increase the holistic sustainability of the control strategy. The supplementary interventions would require the implementation of programs for: (1) the restoration of corals for increasing their cover, (2) the exploitation or removal of lionfish from deeper waters (decreasing the chance of source/sink meta-population dynamics) and (3) the implementation of bans and re-stocking programs for carnivorous fishes (such as grouper) that increase the predation and competition pressure on lionfish (i.e. biological control). An effective control management for the alien lionfish at Chinchorro bank should not be optimized for a single action plan: instead, we should investigate the concurrent implementation of multiple strategies. PMID:26114745
Ortiz, Marco; Rodriguez-Zaragoza, Fabián; Hermosillo-Nuñez, Brenda; Jordán, Ferenc
2015-01-01
Ecological and eco-social network models were constructed with different levels of complexity in order to represent and evaluate management strategies for controlling the alien species Pterois volitans in Chinchorro bank (Mexican Caribbean). Levins´s loop analysis was used as a methodological framework for assessing the local stability (considered as a component of sustainability) of the modeled management interventions represented by various scenarios. The results provided by models of different complexity (models 1 through 4) showed that a reduction of coral species cover would drive the system to unstable states. In the absence of the alien lionfish, the simultaneous fishing of large benthic epifaunal species, adult herbivorous fish and adult carnivorous fish could be sustainable only if the coral species present high levels of cover (models 2 and 3). Once the lionfish is added to the simulations (models 4 and 5), the analysis suggests that although the exploitation or removal of lionfish from shallow waters may be locally stable, it remains necessary to implement additional and concurrent human interventions that increase the holistic sustainability of the control strategy. The supplementary interventions would require the implementation of programs for: (1) the restoration of corals for increasing their cover, (2) the exploitation or removal of lionfish from deeper waters (decreasing the chance of source/sink meta-population dynamics) and (3) the implementation of bans and re-stocking programs for carnivorous fishes (such as grouper) that increase the predation and competition pressure on lionfish (i.e. biological control). An effective control management for the alien lionfish at Chinchorro bank should not be optimized for a single action plan: instead, we should investigate the concurrent implementation of multiple strategies.
Gomez-Velez, Jesus D.; Harvey, Judson
2014-01-01
Hyporheic exchange has been hypothesized to have basin-scale consequences; however, predictions throughout river networks are limited by available geomorphic and hydrogeologic data and by models that can analyze and aggregate hyporheic exchange flows across large spatial scales. We developed a parsimonious but physically based model of hyporheic flow for application in large river basins: Networks with EXchange and Subsurface Storage (NEXSS). We applied NEXSS across a broad range of geomorphic diversity in river reaches and synthetic river networks. NEXSS demonstrates that vertical exchange beneath submerged bed forms rather than lateral exchange through meanders dominates hyporheic fluxes and turnover rates along river corridors. Per kilometer, low-order streams have a biogeochemical potential at least 2 orders of magnitude larger than higher-order streams. However, when biogeochemical potential is examined per average length of each stream order, low- and high-order streams were often found to be comparable. As a result, the hyporheic zone's intrinsic potential for biogeochemical transformations is comparable across different stream orders, but the greater river miles and larger total streambed area of lower order streams result in the highest cumulative impact from low-order streams. Lateral exchange through meander banks may be important in some cases but generally only in large rivers.
NASA Astrophysics Data System (ADS)
Gomez-Velez, Jesus D.; Harvey, Judson W.
2014-09-01
Hyporheic exchange has been hypothesized to have basin-scale consequences; however, predictions throughout river networks are limited by available geomorphic and hydrogeologic data and by models that can analyze and aggregate hyporheic exchange flows across large spatial scales. We developed a parsimonious but physically based model of hyporheic flow for application in large river basins: Networks with EXchange and Subsurface Storage (NEXSS). We applied NEXSS across a broad range of geomorphic diversity in river reaches and synthetic river networks. NEXSS demonstrates that vertical exchange beneath submerged bed forms rather than lateral exchange through meanders dominates hyporheic fluxes and turnover rates along river corridors. Per kilometer, low-order streams have a biogeochemical potential at least 2 orders of magnitude larger than higher-order streams. However, when biogeochemical potential is examined per average length of each stream order, low- and high-order streams were often found to be comparable. As a result, the hyporheic zone's intrinsic potential for biogeochemical transformations is comparable across different stream orders, but the greater river miles and larger total streambed area of lower order streams result in the highest cumulative impact from low-order streams. Lateral exchange through meander banks may be important in some cases but generally only in large rivers.
ERIC Educational Resources Information Center
And Others; Proctor, David, J.
1978-01-01
Uses collection and storage of data in an environmental chemicals data bank to develop an exchange format of hierarchical tree structure between network partners. Rules identify and process the nodes in the tree in such a way that information is neither lost nor degraded upon transfer between network partners. (CWM)
Design of special purpose database for credit cooperation bank business processing network system
NASA Astrophysics Data System (ADS)
Yu, Yongling; Zong, Sisheng; Shi, Jinfa
2011-12-01
With the popularization of e-finance in the city, the construction of e-finance is transfering to the vast rural market, and quickly to develop in depth. Developing the business processing network system suitable for the rural credit cooperative Banks can make business processing conveniently, and have a good application prospect. In this paper, We analyse the necessity of adopting special purpose distributed database in Credit Cooperation Band System, give corresponding distributed database system structure , design the specical purpose database and interface technology . The application in Tongbai Rural Credit Cooperatives has shown that system has better performance and higher efficiency.
Identification of serial number on bank card using recurrent neural network
NASA Astrophysics Data System (ADS)
Liu, Li; Huang, Linlin; Xue, Jian
2018-04-01
Identification of serial number on bank card has many applications. Due to the different number printing mode, complex background, distortion in shape, etc., it is quite challenging to achieve high identification accuracy. In this paper, we propose a method using Normalization-Cooperated Gradient Feature (NCGF) and Recurrent Neural Network (RNN) based on Long Short-Term Memory (LSTM) for serial number identification. The NCGF maps the gradient direction elements of original image to direction planes such that the RNN with direction planes as input can recognize numbers more accurately. Taking the advantages of NCGF and RNN, we get 90%digit string recognition accuracy.
Two-pole microring weight banks.
Tait, Alexander N; Wu, Allie X; Ferreira de Lima, Thomas; Nahmias, Mitchell A; Shastri, Bhavin J; Prucnal, Paul R
2018-05-15
Weighted addition is an elemental multi-input to single-output operation that can be implemented with high-performance photonic devices. Microring (MRR) weight banks bring programmable weighted addition to silicon photonics. Prior work showed that their channel limits are affected by coherent inter-channel effects that occur uniquely in weight banks. We fabricate two-pole designs that exploit this inter-channel interference in a way that is robust to dynamic tuning and fabrication variation. Scaling analysis predicts a channel count improvement of 3.4-fold, which is substantially greater than predicted by incoherent analysis used in conventional MRR devices. Advances in weight bank design expand the potential of reconfigurable analog photonic networks and multivariate microwave photonics.
What Next for Networks and Netwars
2001-01-01
Jacques Derrida , Michel Foucault, 30Standard sources on neorealism include a range of writings by Kenneth Waltz and John Mearshimer in particular. The...address banking networks, and Jacques (1990), which provides a classic defense of the importance of hierarchy in corporate structures. What Next for
Correlates of professional burnout in a sample of employees of cell and tissue banks in Poland.
Kamiński, Artur; Rozenek, Hanna; Banasiewicz, Jolanta; Wójtowicz, Stanisław; Błoński, Artur; Owczarek, Krzysztof
2018-02-03
Job Demands-Resources model proposes that the development of burnout follows excessive job demands and lack of job resources. Job demands are predictive of feeling of exhaustion, and lack of job resources-disengagement from work. This pilot study investigated professional burnout and its correlates in employees of Polish cell and tissue banks, many of whom were involved in procurement and processing of tissues from deceased donors, as it was hypothesized that job burnout in this population might influence the effectiveness of cell and tissue transplantation network in our country. This study utilized the Polish version of the Oldenburg Burnout Inventory (OLBI), which measures the two dimensions of burnout (exhaustion and disengagement), and the Psychosocial Working Conditions Questionnaire (PWC), a Polish instrument used for monitoring psychosocial stress at work. The study sample consisted of 31 participants. Their average time of working in a cell and tissue bank was 13.20 years. Majority of the PWC scales and subscales scores fell in the Average range, and the OLBI results for the Disengagement and the Exhaustion scales were in the Average range. A number of correlations between the Exhaustion or Disengagement and the PWC scales and subscales were detected, majority of which fell in the Moderate range. In spite of the limited number of participants, the results of this pilot study are consistent with the burnout literature reports. Among the detected correlates of professional burnout, it is job-related support which seems to be the most important factor which may influence the efficacy of transplantation network in Poland.
Pilkonis, Paul A; Yu, Lan; Dodds, Nathan E; Johnston, Kelly L; Lawrence, Suzanne M; Hilton, Thomas F; Daley, Dennis C; Patkar, Ashwin A; McCarty, Dennis
2017-08-01
There is a need to monitor patients receiving prescription opioids to detect possible signs of abuse. To address this need, we developed and calibrated an item bank for severity of abuse of prescription pain medication as part of the Patient-Reported Outcomes Measurement Information System (PROMIS ® ). Comprehensive literature searches yielded an initial bank of 5,310 items relevant to substance use and abuse, including abuse of prescription pain medication, from over 80 unique instruments. After qualitative item analysis (i.e., focus groups, cognitive interviewing, expert review, and item revision), 25 items for abuse of prescribed pain medication were included in field testing. Items were written in a first-person, past-tense format, with a three-month time frame and five response options reflecting frequency or severity. The calibration sample included 448 respondents, 367 from the general population (ascertained through an internet panel) and 81 from community treatment programs participating in the National Drug Abuse Treatment Clinical Trials Network. A final bank of 22 items was calibrated using the two-parameter graded response model from item response theory. A seven-item static short form was also developed. The test information curve showed that the PROMIS ® item bank for abuse of prescription pain medication provided substantial information in a broad range of severity. The initial psychometric characteristics of the item bank support its use as a computerized adaptive test or short form, with either version providing a brief, precise, and efficient measure relevant to both clinical and community samples. © 2016 American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com
[Donors' personal profile in Tuscany's network of milk banks].
Strambi, M; Anselmi, A; Coppi, S
2012-10-01
An investigation on human milk donors among the milk banks of Tuscany's network was carried out. Milk banks select, collect, check, process, store and deliver human milk, whose donors should have certain physical and psychological well-being features. The aim of the study was to describe a personal and social profile of milk donors. The study included a sample of 100 milk donors and a sample of 100 non-milk donor mothers; a questionnaire that collected data about mothers' general information, clinical history, pregnancy and delivery, weight variations, state of health, lifestyle, breastfeeding and knowledge about milk banks was administered to all of them. Then information about food history of mothers has also been collected. First the samples of donors were analysed for all variables considered. Subsequently the samples of donors were compared with the samples of non-donors: statistical analysis was carried out with χ2 test and documented significant differences between donors and non-donors for the majority of variables considered in the questionnaire and for food history. Milk donors have a good state of health, and the integration in milk donation initiative headed towards a healthier lifestyle. It is necessary to promote an advertising campaign to integrate social and sanitary politics, fitting to local socio-economical contest. Furthermore, the improvement of milk banks of public hospitals is necessary, as hospitals are places of major stream both of potential donors and newborns.
ERIC Educational Resources Information Center
And Others; Town, William G.
1980-01-01
Discusses the problems encountered and solutions adopted in application of the ADABAS database management system to the ECDIN (Environmental Chemicals Data and Information Network) data bank. SIMAS, the pilot system, and ADABAS are compared, and ECDIN ADABAS design features are described. Appendices provide additional facts about ADABAS and SIMAS.…
User's Guide for Mixed-Size Sediment Transport Model for Networks of One-Dimensional Open Channels
Bennett, James P.
2001-01-01
This user's guide describes a mathematical model for predicting the transport of mixed sizes of sediment by flow in networks of one-dimensional open channels. The simulation package is useful for general sediment routing problems, prediction of erosion and deposition following dam removal, and scour in channels at road embankment crossings or other artificial structures. The model treats input hydrographs as stepwise steady-state, and the flow computation algorithm automatically switches between sub- and supercritical flow as dictated by channel geometry and discharge. A variety of boundary conditions including weirs and rating curves may be applied both external and internal to the flow network. The model may be used to compute flow around islands and through multiple openings in embankments, but the network must be 'simple' in the sense that the flow directions in all channels can be specified before simulation commences. The location and shape of channel banks are user specified, and all bedelevation changes take place between these banks and above a user-specified bedrock elevation. Computation of sediment-transport emphasizes the sand-size range (0.0625-2.0 millimeter) but the user may select any desired range of particle diameters including silt and finer (<0.0625 millimeter). As part of data input, the user may set the original bed-sediment composition of any number of layers of known thickness. The model computes the time evolution of total transport and the size composition of bed- and suspended-load sand through any cross section of interest. It also tracks bed -surface elevation and size composition. The model is written in the FORTRAN programming language for implementation on personal computers using the WINDOWS operating system and, along with certain graphical output display capability, is accessed from a graphical user interface (GUI). The GUI provides a framework for selecting input files and parameters of a number of components of the sediment-transport process. There are no restrictions in the use of the model as to numbers of channels, channel junctions, cross sections per channel, or points defining the cross sections. Following completion of the simulation computations, the GUI accommodates display of longitudinal plots of either bed elevation and size composition, or of transport rate and size composition of the various components, for individual channels and selected times during the simulation period. For individual cross sections, the GUI also allows display of time series of transport rate and size composition of the various components and of bed elevation and size composition.
7 CFR 251.4 - Availability of commodities.
Code of Federal Regulations, 2014 CFR
2014-01-01
... boards. (1) State agencies must distribute commodities made available under this part to eligible... feeding organizations. (3) Existing networks. Subject to the constraints of paragraphs (h)(1)(i) and (h)(1... existing food bank networks and other organizations whose ongoing primary function is to facilitate the...
Neural networks to classify speaker independent isolated words recorded in radio car environments
NASA Astrophysics Data System (ADS)
Alippi, C.; Simeoni, M.; Torri, V.
1993-02-01
Many applications, in particular the ones requiring nonlinear signal processing, have proved Artificial Neural Networks (ANN's) to be invaluable tools for model free estimation. The classifying abilities of ANN's are addressed by testing their performance in a speaker independent word recognition application. A real world case requiring implementation of compact integrated devices is taken into account: the classification of isolated words in radio car environment. A multispeaker database of isolated words was recorded in different environments. Data were first processed to determinate the boundaries of each word and then to extract speech features, the latter accomplished by using cepstral coefficient representation, log area ratios and filters bank techniques. Multilayered perceptron and adaptive vector quantization neural paradigms were tested to find a reasonable compromise between performances and network simplicity, fundamental requirement for the implementation of compact real time running neural devices.
NASA Astrophysics Data System (ADS)
Park, Sangsoo; Miura, Yushi; Ise, Toshifumi
This paper proposes an intelligent control for the distributed flexible network photovoltaic system using autonomous control and agent. The distributed flexible network photovoltaic system is composed of a secondary battery bank and a number of subsystems which have a solar array, a dc/dc converter and a load. The control mode of dc/dc converter can be selected based on local information by autonomous control. However, if only autonomous control using local information is applied, there are some problems associated with several cases such as voltage drop on long power lines. To overcome these problems, the authors propose introducing agents to improve control characteristics. The autonomous control with agents is called as intelligent control in this paper. The intelligent control scheme that employs the communication between agents is applied for the model system and proved with simulation using PSCAD/EMTDC.
Markovian approximation in foreign exchange markets
NASA Astrophysics Data System (ADS)
Baviera, Roberto; Vergni, Davide; Vulpiani, Angelo
2000-06-01
In this paper, using the exit-time statistic, we study the structure of the price variations for the high-frequency data set of the bid-ask Deutschemark/US dollar exchange rate quotes registered by the inter-bank Reuters network over the period October 1, 1992 to September 30, 1993. Having rejected random-walk models for the returns, we propose a Markovian model which reproduce the available information of the financial series. Besides the usual correlation analysis we have verified the validity of this model by means of other tools all inspired by information theory. These techniques are not only severe tests of the approximation but also evidence of some aspects of the data series which have a clear financial relevance.
The Impact of Soil Properties on Valley-Bottom Gully Form, Northwest Highlands of Ethiopia.
NASA Astrophysics Data System (ADS)
Amare, S. D.; Langendoen, E. J.; Keesstra, S.; van der Ploeg, M. J.; Steenhuis, T. S.; Tilahun, S. A.
2017-12-01
Gully erosion is an important environmental and food security challenge facing the world. Despite the immense damages resulting from gully erosion, comprehensive studies on the processes of gully formation and its management strategies are limited. This is especially true for valley-bottom gullies, which form under different conditions and are caused by different processes than hillslope gullies. A recent review on valley-bottom gully erosion causes and controlling factors identified that gully geomorphological processes, particularly related to gully bank retreat, governed gully occurrence and reclamations. However, most valley-bottom gully erosion studies do not consider gully bank stability and how it is impacted by soil hydrology and soil intrinsic properties. The aim is to analyze these impacts on gully bank retreat in the Koga river watershed, Ethiopia, for Nitisol and Vertisols, using field and numerical modeling approaches. Field observations showed gully network in Vertisols were greater than those in Nitisols. On the other hand, Nitisol gullies are wider and deeper than Vertisols. Monitoring of hydro-meteorological and soil data was started in June 2017 and will continue until the end of the 2017 rainy season (September) and for 2018 rainy periods as well. Thirty-six piezometers were installed at 4m average depth covering an area of 20 km2 near the gully reaches. Ground anchors were used to measure soil swelling and shrinkage. Soil moisture content and potential were measured using GS1 Soil Moisture sensors and MPS-6 Water Potential sensors. Gully bank soil physicochemical and engineering properties have been sampled and analyzed. Preliminary results from the early portion of the rainy season showed that most piezometers were already filled up with water. However, relatively deep (2m) water tables were recorded in piezometers located near the gully banks. The soil matric potential dropped from the onset of the rainy season (-6800 kPa ) towards the middle (-6 kPa), while soil moisture content increased from 30% to 50%.The field data will be used as input for the BSTEM bank erosion model. BSTEM will be used to evaluate and quantify the effects of soil physical properties on gully form. The modeling results will be presented and will serve to develop improved reclamation strategies of valley-bottom gullies.
Network Science Center Research Team’s Visit to Kampala, Uganda
2013-04-15
Leader • Someone in Social Network • Commercial Bank • White Collar Professional • Military Leader 16 | P a g e Network Science Center, West Point www.netscience.usma.edu 845.938.0804 ...regions, where the Lord’s Resistance Army 2 | P a g e Network Science Center, West Point www.netscience.usma.edu 845.938.0804 (LRA), a militant...Non-Governmental Organizations. Teddy Ruge Kanjokya Road in Kamwokya 3 | P a g e Network Science Center, West Point
12 CFR Appendix A to Part 213 - Model Forms
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 2 2010-01-01 2010-01-01 false Model Forms A Appendix A to Part 213 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM CONSUMER LEASING (REGULATION M) Pt. 213, App. A Appendix A to Part 213—Model Forms A-1Model Open-End or Finance Vehicle Lease...
12 CFR Appendix A to Part 213 - Model Forms
Code of Federal Regulations, 2011 CFR
2011-01-01
... 12 Banks and Banking 2 2011-01-01 2011-01-01 false Model Forms A Appendix A to Part 213 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM CONSUMER LEASING (REGULATION M) Pt. 213, App. A Appendix A to Part 213—Model Forms A-1Model Open-End or Finance Vehicle Lease...
Mora, Marina; Angelini, Corrado; Bignami, Fabrizia; Bodin, Anne-Mary; Crimi, Marco; Di Donato, Jeanne- Hélène; Felice, Alex; Jaeger, Cécile; Karcagi, Veronika; LeCam, Yann; Lynn, Stephen; Meznaric, Marija; Moggio, Maurizio; Monaco, Lucia; Politano, Luisa; de la Paz, Manuel Posada; Saker, Safaa; Schneiderat, Peter; Ensini, Monica; Garavaglia, Barbara; Gurwitz, David; Johnson, Diana; Muntoni, Francesco; Puymirat, Jack; Reza, Mojgan; Voit, Thomas; Baldo, Chiara; Bricarelli, Franca Dagna; Goldwurm, Stefano; Merla, Giuseppe; Pegoraro, Elena; Renieri, Alessandra; Zatloukal, Kurt; Filocamo, Mirella; Lochmüller, Hanns
2015-01-01
The EuroBioBank (EBB) network (www.eurobiobank.org) is the first operating network of biobanks in Europe to provide human DNA, cell and tissue samples as a service to the scientific community conducting research on rare diseases (RDs). The EBB was established in 2001 to facilitate access to RD biospecimens and associated data; it obtained funding from the European Commission in 2002 (5th framework programme) and started operation in 2003. The set-up phase, during the EC funding period 2003–2006, established the basis for running the network; the following consolidation phase has seen the growth of the network through the joining of new partners, better network cohesion, improved coordination of activities, and the development of a quality-control system. During this phase the network participated in the EC-funded TREAT-NMD programme and was involved in planning of the European Biobanking and Biomolecular Resources Research Infrastructure. Recently, EBB became a partner of RD-Connect, an FP7 EU programme aimed at linking RD biobanks, registries, and bioinformatics data. Within RD-Connect, EBB contributes expertise, promotes high professional standards, and best practices in RD biobanking, is implementing integration with RD patient registries and ‘omics' data, thus challenging the fragmentation of international cooperation on the field. PMID:25537360
2014-01-01
Background Our aim, having previously investigated through a qualitative study involving extensive discussions with experts and patients the issues involved in establishing and maintaining a disease specific brain and tissue bank for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), was to develop a protocol for a UK ME/CFS repository of high quality human tissue from well characterised subjects with ME/CFS and controls suitable for a broad range of research applications. This would involve a specific donor program coupled with rapid tissue collection and processing, supplemented by comprehensive prospectively collected clinical, laboratory and self-assessment data from cases and controls. Findings We reviewed the operations of existing tissue banks from published literature and from their internal protocols and standard operating procedures (SOPs). On this basis, we developed the protocol presented here, which was designed to meet high technical and ethical standards and legal requirements and was based on recommendations of the MRC UK Brain Banks Network. The facility would be most efficient and cost-effective if incorporated into an existing tissue bank. Tissue collection would be rapid and follow robust protocols to ensure preservation sufficient for a wide range of research uses. A central tissue bank would have resources both for wide-scale donor recruitment and rapid response to donor death for prompt harvesting and processing of tissue. Conclusion An ME/CFS brain and tissue bank could be established using this protocol. Success would depend on careful consideration of logistic, technical, legal and ethical issues, continuous consultation with patients and the donor population, and a sustainable model of funding ideally involving research councils, health services, and patient charities. This initiative could revolutionise the understanding of this still poorly-understood disease and enhance development of diagnostic biomarkers and treatments. PMID:24938650
Elastic Network Model of a Nuclear Transport Complex
NASA Astrophysics Data System (ADS)
Ryan, Patrick; Liu, Wing K.; Lee, Dockjin; Seo, Sangjae; Kim, Young-Jin; Kim, Moon K.
2010-05-01
The structure of Kap95p was obtained from the Protein Data Bank (www.pdb.org) and analyzed RanGTP plays an important role in both nuclear protein import and export cycles. In the nucleus, RanGTP releases macromolecular cargoes from importins and conversely facilitates cargo binding to exportins. Although the crystal structure of the nuclear import complex formed by importin Kap95p and RanGTP was recently identified, its molecular mechanism still remains unclear. To understand the relationship between structure and function of a nuclear transport complex, a structure-based mechanical model of Kap95p:RanGTP complex is introduced. In this model, a protein structure is simply modeled as an elastic network in which a set of coarse-grained point masses are connected by linear springs representing biochemical interactions at atomic level. Harmonic normal mode analysis (NMA) and anharmonic elastic network interpolation (ENI) are performed to predict the modes of vibrations and a feasible pathway between locked and unlocked conformations of Kap95p, respectively. Simulation results imply that the binding of RanGTP to Kap95p induces the release of the cargo in the nucleus as well as prevents any new cargo from attaching to the Kap95p:RanGTP complex.
Develop 3G Application with The J2ME SATSA API
NASA Astrophysics Data System (ADS)
JunWu, Xu; JunLing, Liang
This paper describes research in the use of the Security and Trust Services API for J2ME (SATSA) to develop mobile applications. for 3G networks. SATSA defines a set of APIs that allows J2ME applications to communicate with and access functionality, secure storage and cryptographic operations provided by security elements such as smart cards and Wireless Identification Modules (WIM). A Java Card application could also work as an authentication module in a J2ME-based e-bank application. The e-bank application would allow its users to access their bank accounts using their cell phones.
Filter Bank Multicarrier (FBMC) for long-reach intensity modulated optical access networks
NASA Astrophysics Data System (ADS)
Saljoghei, Arsalan; Gutiérrez, Fernando A.; Perry, Philip; Barry, Liam P.
2017-04-01
Filter Bank Multi Carrier (FBMC) is a modulation scheme which has recently attracted significant interest in both wireless and optical communications. The interest in optical communications arises due to FBMC's capability to operate without a Cyclic Prefix (CP) and its high resilience to synchronisation errors. However, the operation of FBMC in optical access networks has not been extensively studied either in downstream or upstream. In this work we use experimental work to investigate the operation of FBMC in intensity modulated Passive Optical Networks (PONs) employing direct detection in conjunction with both direct and external modulation schemes. The data rates and propagation lengths employed here vary from 8.4 to 14.8 Gb/s and 0-75 km. The results suggest that by using FBMC it is possible to accomplish CP-Less transmission up to 75 km of SSMF in passive links using cost effective intensity modulation and detection schemes.
Coral reefs and the World Bank.
Hatziolos, M
1997-01-01
The World Bank¿s involvement in coral reef conservation is part of a larger effort to promote the sound management of coastal and marine resources. This involves three major thrusts: partnerships, investments, networks and knowledge. As an initial partner and early supporter of the International Coral Reef Initiative (ICRI), the Bank serves as the executive planning committee of ICRI. In partnership with the World Conservation Union and the Great Barrier Reef Marine Park Authority, the Bank promotes the efforts towards the establishment and maintenance of a globally representative system of marine protected areas. In addition, the Bank invested over $120 million in coral reef rehabilitation and protection programs in several countries. Furthermore, the Bank developed a ¿Knowledge Bank¿ that would market ideas and knowledge to its clients along with investment projects. This aimed to put the best global knowledge on environmentally sustainable development in the hands of its staff and clients. During the celebration of 1997, as the International Year of the Reef, the Bank planned to cosponsor an associated event that would highlight the significance of coral reefs and encourage immediate action to halt their degradation to conserve this unique ecosystem.
The role of ethical banks in health care policy and financing in Spain.
Salvador-Carulla, Luis; Solans, Josep; Duaigues, Mónica; Balot, Jordi; García-Gutierrez, Juan Carlos
2009-01-01
Ethical, social, or civic banks, constitute a secondary source of financing, which is particularly relevant in Southern and Central Europe. However there is no information on the scientific literature on this source of health care financing. We review the characteristics of saving banks in Spain and illustrate the contribution of one institution "Obra Social Caixa Catalunya" (OS-CC) to the health care financing in Spain. Savings bank health care funding was equivalent to 3 percent of the public health expenditure for 2008. The programs developed by OS-CC illustrate the complex role of savings banks in health financing, provision, training, and policy, particularly in the fields of integrated care and innovation. Financing is a basic tool for health policy. However, the role of social banking in the development of integrated care networks has been largely disregarded, in spite of its significant contribution to complementary health and social care in Southern and Central Europe. Decision makers both at the public health agencies and at the social welfare departments of savings banks should become aware of the policy implications and impact of savings bank activities in the long-term care system.
Sediment and Vegetation Controls on Delta Channel Networks
NASA Astrophysics Data System (ADS)
Lauzon, R.; Murray, A. B.; Piliouras, A.; Kim, W.
2016-12-01
Numerous factors control the patterns of distributary channels formed on a delta, including water and sediment discharge, grain size, sea level rise rates, and vegetation type. In turn, these channel networks influence the shape and evolution of a delta, including what types of plant and animal life - such as humans - it can support. Previous fluvial modeling and flume experiments, outside of the delta context, have addressed how interactions between sediment and vegetation, through their influence on lateral transport of sediment, determine what type of channel networks develops. Similar interactions likely also shape delta flow patterns. Vegetation introduces cohesion, tending to reduce channel migration rates and strengthen existing channel banks, reinforcing existing channels and resulting in localized, relatively stable flow patterns. On the other hand, sediment transport processes can result in lateral migration and frequent switching of active channels, resulting in flow resembling that of a braided stream. While previous studies of deltas have indirectly explored the effects of vegetation through the introduction of cohesive sediment, we directly incorporate key effects of vegetation on flow and sediment transport into the delta-building model DeltaRCM to explore how these effects influence delta channel network formation. Model development is informed by laboratory flume experiments at UT Austin. Here we present initial results of experiments exploring the effects of sea level rise rate, sediment grain size, vegetation type, and vegetation growth rate on delta channel network morphology. These results support the hypothesis that the ability for lateral transport of sediment to occur plays a key role in determining the evolution of delta channel networks and delta morphology.
12 CFR Appendix Ms - 4-Model Clauses for the Written Early Intervention Notice
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 8 2014-01-01 2014-01-01 false 4-Model Clauses for the Written Early Intervention Notice MS Appendix MS Banks and Banking BUREAU OF CONSUMER FINANCIAL PROTECTION REAL ESTATE...-4 Appendix MS-4—Model Clauses for the Written Early Intervention Notice MS-4(A)—Statement...
Cruz, Bruna B.; Miranda, Leandro E.; Cetra, Mauricio
2013-01-01
We hypothesised and tested a hierarchical organisation model where riparian landcover would influence bank composition and light availability, which in turn would influence instream environments and control fish assemblages. The study was conducted during the dry season in 11 headwater tributaries of the Sorocaba River in the upper Paraná River Basin, south-eastern Brazil. We focused on seven environmental factors each represented by one or multiple environmental variables and seven fish functional traits each represented by two or more classes. Multivariate direct gradient analyses suggested that riparian zone landcover can be considered a higher level causal factor in a network of relations that control instream characteristics and fish assemblages. Our results provide a framework for a hierarchical conceptual model that identifies singular and collective influences of variables from different scales on each other and ultimately on different aspects related to stream fish functional composition. This conceptual model is focused on the relationships between riparian landcover and instream variables as causal factors on the organisation of stream fish assemblages. Our results can also be viewed as a model for headwater stream management in that landcover can be manipulated to influence factors such as bank composition, substrates and water quality, whereas fish assemblage composition can be used as indicators to monitor the success of such efforts.
Evolution in a centralized transfusion service.
AuBuchon, James P; Linauts, Sandra; Vaughan, Mimi; Wagner, Jeffrey; Delaney, Meghan; Nester, Theresa
2011-12-01
The metropolitan Seattle area has utilized a centralized transfusion service model throughout the modern era of blood banking. This approach has used four laboratories to serve over 20 hospitals and clinics, providing greater capabilities for all at a lower consumption of resources than if each depended on its own laboratory and staff for these functions. In addition, this centralized model has facilitated wider use of the medical capabilities of the blood center's physicians, and a county-wide network of transfusion safety officers is now being developed to increase the impact of the blood center's transfusion expertise at the patient's bedside. Medical expectations and traffic have led the blood center to evolve the centralized model to include on-site laboratories at facilities with complex transfusion requirements (e.g., a children's hospital) and to implement in all the others a system of remote allocation. This new capability places a refrigerator stocked with uncrossmatched units in the hospital but retains control over the dispensing of these through the blood center's computer system; the correct unit can be electronically cross-matched and released on demand, obviating the need for transportation to the hospital and thus speeding transfusion. This centralized transfusion model has withstood the test of time and continues to evolve to meet new situations and ensure optimal patient care. © 2011 American Association of Blood Banks.
A new Approach for Quantifying Root-Reinforcement of Streambanks: the RipRoot Model
NASA Astrophysics Data System (ADS)
Pollen, N. L.; Simon, A.
2003-12-01
Riparian vegetation plays an important role in controlling geotechnical and fluvial processes acting along and within streambanks through the binding effects of roots. Quantification of this mechanical effect is therefore essential to accurately model streambank stability. Until now, most attempts to include the effects of root reinforcement by riparian vegetation have used root-cohesion values estimated using the Wu et al. (1979) equation, requiring the tensile strengths and diameters of the roots crossing the potential shear-plane. However, the Wu et al. equation is a static model that assumes that all roots break, and that they all break simultaneously. Field observations and laboratory experiments have shown that in reality the roots do not all break simultaneously, and that the breaking of roots during mass failure is in fact a dynamic process. Static models such as the Wu et al. equation are therefore likely to produce overestimations of cohesion due to roots. As a response to this concern, a dynamic root reinforcement model (RipRoot) was developed, based on the concepts of fiber bundle models (FBM's) used in materials science. Within the model the root-soil system is loaded incrementally resulting in progressive root breaking and redistribution of stresses from the broken roots to the remaining intact roots in the soil matrix. The redistribution and loading process continues until either all of the roots have broken, or equilibrium is reached where the root network supports the driving force imposed on the bank. The increase in bank cohesion using the static Wu et al. equation are 18% to 38% higher than RipRoot for riparian tree species, including Black Willow, Sandbar Willow, Cottonwood, River Birch and Eastern Sycamore, and 49% higher for Switch Grass. These variations in cohesion values can have a significant impact on streambank Factor of Safety (Fs) values calculated using the Simon et al. (2000) bank-stability model. For example, a 3m high silt streambank had a Fs of 0.98 without vegetation, indicating instability. With the addition of cohesion from 200 River Birch roots this value increased to 1.22 using the RipRoot value (Conditionally Stable) and 1.37 using the Wu et al. equation (Stable). In this example both of the root models produced cohesion values that were large enough to make the bank more stable, but the more conservative value from RipRoot suggests the bank may only be conditionally stable. Results to date indicate that the dynamic nature of RipRoot removes some of the overestimation from the static equation of Wu et al. (1979), therefore producing more realistic values for root reinforcement, which are particularly useful and important in the context of river management and restoration.
Different approaches for the texture classification of a remote sensing image bank
NASA Astrophysics Data System (ADS)
Durand, Philippe; Brunet, Gerard; Ghorbanzadeh, Dariush; Jaupi, Luan
2018-04-01
In this paper, we summarize and compare two different approaches used by the authors, to classify different natural textures. The first approach, which is simple and inexpensive in computing time, uses a data bank image and an expert system able to classify different textures from a number of rules established by discipline specialists. The second method uses the same database and a neural networks approach.
Gray, N; Womack, C; Jack, S J
1999-04-01
NHS histopathology laboratories are well placed to develop banks of surgically removed surplus human tissues to meet the increasing demands of commercial biomedical companies. The ultimate aim could be national network of non-profit making NHS tissue banks conforming to national minimum ethical, legal, and quality standards which could be monitored by local research ethics committees. The Nuffield report on bioethics provides ethical and legal guidance but we believe that the patient should be fully informed and the consent given explicit. Setting up a tissue bank requires enthusiasm, hard work, and determination as well as coordination between professionals in the NHS trust and in the commercial sector. The rewards are exiting new collaborations with commercial biomedical companies which could help secure our future.
CHIPS. Volume 29, Issue 1, January - March 2011
2011-03-01
services, like electricity, heating or cable television. Bank/Finance Fraud: • They may create counterfeit checks using their victim’s name or...consolidating disparate, stove- piped networks into a single, modern, cost-effective enterprise network with a high level of service that meets...Holland, NGEN program manager. “If NMCI is not the most secure network in the world, it is certainly close. There is no shortfall flexibility
Banking Structure and Monetary Policy: New Wine in Old Bottles.
ERIC Educational Resources Information Center
Hacche, John
1989-01-01
Provides an extension of the basic banking model used in introductory economics courses. This expanded model introduces the concept of banking capital and reserves, and includes the relationship existing between current issues and banking structure and money supply growth. Provides worksheet exercises and answers. (LS)
Safe Distances From a High-Energy Capacitor Bank for Ear and Lung Protection
2014-06-01
switching network or device such as a Silicon Carbide Gate Turn-Off Thyristor (SGTO), Pulse Forming Network (PFN), Gas Tube, Traveling Wave Tube...increase in pressure produces an imbalance of pressure in the body and causes injury. As an example, the eardrum membrane may break if the outside
Student Motivation in Computer Networking Courses
ERIC Educational Resources Information Center
Hsin, Wen-Jung
2007-01-01
This paper introduces several hands-on projects that have been used to motivate students in learning various computer networking concepts. These projects are shown to be very useful and applicable to the learners' daily tasks and activities such as emailing, Web browsing, and online shopping and banking, and lead to an unexpected byproduct,…
Linking Transnational Logics: A Feminist Rhetorical Analysis of Public Policy Networks
ERIC Educational Resources Information Center
Dingo, Rebecca
2008-01-01
In this article, the author investigates the circulation and appropriation of representations of women in public policy. The author effectively mobilizes the metaphor of the network to examine the discursive intersections and transnational links between U.S. welfare programs and the World Bank gender mainstreaming policies. Her analysis reveals…
NASA Astrophysics Data System (ADS)
Graham, S. T.; Famiglietti, J. S.; Maidment, D. R.
1999-02-01
A major shortcoming of the land surface component in climate models is the absence of a river transport algorithm. This issue becomes particularly important in fully coupled climate system models (CSMs), where river transport is required to close and realistically represent the global water cycle. The development of a river transport algorithm requires knowledge of watersheds and river networks at a scale that is appropriate for use in CSMs. These data must be derived largely from global digital topographic information. The purpose of this paper is to describe a new data set of watersheds and river networks, which is derived primarily from the TerrainBase 5' Global DTM (digital terrain model) and the CIA World Data Bank II. These data serve as a base map for routing continental runoff to the appropriate coast and therefore into the appropriate ocean or inland sea. Using this data set, the runoff produced in any grid cell, when coupled with a routing algorithm, can easily be transported to the appropriate water body and distributed across that water body as desired. The data set includes watershed and flow direction information, as well as supporting hydrologic data at 5', 1/2°, and 1° resolutions globally. It will be useful in fully coupled land-ocean-atmosphere models, in terrestrial ecosystem models, or in stand-alone macroscale hydrologic-modeling studies.
Staging memory for massively parallel processor
NASA Technical Reports Server (NTRS)
Batcher, Kenneth E. (Inventor)
1988-01-01
The invention herein relates to a computer organization capable of rapidly processing extremely large volumes of data. A staging memory is provided having a main stager portion consisting of a large number of memory banks which are accessed in parallel to receive, store, and transfer data words simultaneous with each other. Substager portions interconnect with the main stager portion to match input and output data formats with the data format of the main stager portion. An address generator is coded for accessing the data banks for receiving or transferring the appropriate words. Input and output permutation networks arrange the lineal order of data into and out of the memory banks.
Are hybrid umbilical cord blood banks really the best of both worlds?
Guilcher, Gregory M T; Fernandez, Conrad V; Joffe, Steven
2015-03-01
Since the first use of umbilical cord blood (UCB) as a medical therapy, the number of UCB banks worldwide has grown. Public UCB banks offer the option of altruistic donation, whereas private banks allow a product to be stored for the exclusive use of the paying client. With many more UCB products banked privately than publicly in countries such as the USA, hybrid models blending aspects of public and private banking have been proposed. One such bank is in operation in the UK. In this paper we review the hybrid UCB model and conclude that it offers limited benefit to the general public. Furthermore, compared with private banking, this model provides few advantages and potential disadvantages to private clients. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Wagner, Anna-Margaretha; Krenger, Werner; Suter, Eva; Ben Hassem, Dorra; Surbek, Daniel V
2013-07-01
Two competitive concepts of umbilical cord blood (UCB) banking are currently available: either allogeneic UCB is donated to a public bank or autologous cells are stored in a private bank. Allogeneic-autologous hybrid banking is a new concept that combines these two approaches. However, acceptance of hybrid UCB banking among potential donors is unknown to date. In a prospective survey, we aimed to establish the acceptance of the hybrid banking model among actual and potential UCB donors in Switzerland. The study groups consisted of parents and pregnant women with or without children. As control group, women at reproductive ages were investigated. The majority of participants agreed fundamentally with UCB donation, and overall acceptance of private banking was 47%. If a possibility for hybrid banking were to be made available, 49% would opt for such a public-private model and only 13% would choose private banking alone. Among the proponents of hybrid banking, a majority of participants chose donor cell splitting over the sequential banking mode. Fifty-six percent of responders wished prior notification before the release of their donated UCB to a foreign recipient. This is the first study which compared the acceptance of allogeneic, autologous, and hybrid allogeneic-autologous UCB banking in different target groups. We demonstrated that hybrid cord blood banking is the preferred model of banking among actual and potential UCB donors. With increasing demand for UCB in the future, health care providers should therefore consider offering hybrid banking as a viable storage option. © 2012 American Association of Blood Banks.
NASA Astrophysics Data System (ADS)
Kopaev, A.; Ducarme, B.
2003-04-01
We have used the most recent oceanic tidal models e.g. FES’99/02, GOT’00, CSR’4, NAO’99 and TPXO’5/6 for tidal gravity loading computations using LOAD’97 software. Resulting loading vectors were compared against each other in different regions located at different distances from the sea coast. Results indicate good coincidence for majority of models at the distances larger than 100-200 km, excluding some regions where mostly CSR’4 and TPXO have problems. Outlying models were rejected for this regions and mean loading vectors have been calculated for more than 200 tidal gravity stations from GGP and ICET data banks, representing state of the art of tidal loading correction. Corresponding errors in d-factors and phase lags are generally smaller than 0.1 % resp. 0.05o, that means that we do not have the real troubles with loading corrections and more attention should be applied to the calibration values and phase lag determination accuracies. Corrected values agree with DDW model values very well (within 0.2 %) for majority of GGP stations, whereas some of very good (Chinese network mainly) ICET tidal gravity stations clearly demonstrate statistically significant (up to 0.5 %) anomalies that seems not connected either with calibration troubles or loading problems. Various possible reasons including instrumental and geophysical will be presented and discussed.
US-Canada Great Lakes Regional Specimen Bank Feasibility Study.
Kerry, A; Edmonds, C J; Landon, L; Yonker, T L
1993-11-01
A study to examine the feasibility of establishing a Regional Specimen Bank in the Great Lakes area of the United States and Canada has recently been initiated by the Michigan Audubon Society. There are several existing formal and informal specimen banking facilities active in the region but their combined adequacy has not been evaluated. This feasibility study will establish the need and use of a regional bank and the institution(s) necessary to satisfy this need will be recommended. The study will address the scope required to meet present and future needs including the types of specimens to be represented in the bank, geographic coverage and protocols for collection, shipping, processing, analysis and storage. A management policy of the bank will be developed encompassing business operation, costs, governing structure and personnel requirements. The legal requirements of the bank will be determined with regards to the acquisition of samples, transport across national boundaries, access to specimens and information, and liability during operation. An effective information dissemination network will be recommended that is compatible with national and international partners, will facilitate technology and information transfer and support the quality and status of the bank. Determination of secure, long-term funding sources will be one of the key elements to ensuring a safe repository. This feasibility study is funded by the Great Lakes Protection Fund.
2016-04-26
control. Military discipline inspectors have targeted individual power networks and sectors historically prone to corruption, and the PLA is also...Other disputed areas include the Luconia Shoals, Reed Bank , and the Paracel Islands. The Luconia Shoals are disputed by China and Malaysia and...may contain extensive oil and natural gas reserves, as well as productive fishing grounds. Reed Bank is claimed by both China and the Philippines
3DProIN: Protein-Protein Interaction Networks and Structure Visualization.
Li, Hui; Liu, Chunmei
2014-06-14
3DProIN is a computational tool to visualize protein-protein interaction networks in both two dimensional (2D) and three dimensional (3D) view. It models protein-protein interactions in a graph and explores the biologically relevant features of the tertiary structures of each protein in the network. Properties such as color, shape and name of each node (protein) of the network can be edited in either 2D or 3D views. 3DProIN is implemented using 3D Java and C programming languages. The internet crawl technique is also used to parse dynamically grasped protein interactions from protein data bank (PDB). It is a java applet component that is embedded in the web page and it can be used on different platforms including Linux, Mac and Window using web browsers such as Firefox, Internet Explorer, Chrome and Safari. It also was converted into a mac app and submitted to the App store as a free app. Mac users can also download the app from our website. 3DProIN is available for academic research at http://bicompute.appspot.com.
12 CFR >appendix A to Part 239 - Mutual Holding Company Model Charter
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 4 2013-01-01 2013-01-01 false Mutual Holding Company Model Charter A >Appendix A to Part 239 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Pt. 239, App. A >Appendix A to...
2016-09-01
PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval Postgraduate School Monterey, CA 93943-5000 8. PERFORMING ORGANIZATION REPORT NUMBER 9...state- and local-level computer networks fertile ground for the cyber adversary. This research focuses on the threat to SLTT computer networks and how...institutions, and banking systems. The array of responsibilities and the cybersecurity threat landscape make state- and local-level computer networks fertile
Employing Deceptive Dynamic Network Topology Through Software-Defined Networking
2014-03-01
manage economies, banking, and businesses , to the way we gather intelligence and militaries wage war. With computer networks and the Internet, we have seen...space, along with other generated statistics , similar to that performed by the Ant Census project. As we have shown, there is an extensive and diverse...calculated RTT for each probe. In the ping statistics , we are presented the details of probes sent and responses received, and the calculated packet loss
Emergent self-similarity of cluster coagulation
NASA Astrophysics Data System (ADS)
Pushkin, Dmtiri O.
A wide variety of nonequilibrium processes, such as coagulation of colloidal particles, aggregation of bacteria into colonies, coalescence of rain drops, bond formation between polymerization sites, and formation of planetesimals, fall under the rubric of cluster coagulation. We predict emergence of self-similar behavior in such systems when they are 'forced' by an external source of the smallest particles. The corresponding self-similar coagulation spectra prove to be power laws. Starting from the classical Smoluchowski coagulation equation, we identify the conditions required for emergence of self-similarity and show that the power-law exponent value for a particular coagulation mechanism depends on the homogeneity index of the corresponding coagulation kernel only. Next, we consider the current wave of mergers of large American banks as an 'unorthodox' application of coagulation theory. We predict that the bank size distribution has propensity to become a power law, and verify our prediction in a statistical study of the available economical data. We conclude this chapter by discussing economically significant phenomenon of capital condensation and predicting emergence of power-law distributions in other economical and social data. Finally, we turn to apparent semblance between cluster coagulation and turbulence and conclude that it is not accidental: both of these processes are instances of nonlinear cascades. This class of processes also includes river network formation models, certain force-chain models in granular mechanics, fragmentation due to collisional cascades, percolation, and growing random networks. We characterize a particular cascade by three indicies and show that the resulting power-law spectrum exponent depends on the indicies values only. The ensuing algebraic formula is remarkable for its simplicity.
Adaptive critic autopilot design of bank-to-turn missiles using fuzzy basis function networks.
Lin, Chuan-Kai
2005-04-01
A new adaptive critic autopilot design for bank-to-turn missiles is presented. In this paper, the architecture of adaptive critic learning scheme contains a fuzzy-basis-function-network based associative search element (ASE), which is employed to approximate nonlinear and complex functions of bank-to-turn missiles, and an adaptive critic element (ACE) generating the reinforcement signal to tune the associative search element. In the design of the adaptive critic autopilot, the control law receives signals from a fixed gain controller, an ASE and an adaptive robust element, which can eliminate approximation errors and disturbances. Traditional adaptive critic reinforcement learning is the problem faced by an agent that must learn behavior through trial-and-error interactions with a dynamic environment, however, the proposed tuning algorithm can significantly shorten the learning time by online tuning all parameters of fuzzy basis functions and weights of ASE and ACE. Moreover, the weight updating law derived from the Lyapunov stability theory is capable of guaranteeing both tracking performance and stability. Computer simulation results confirm the effectiveness of the proposed adaptive critic autopilot.
Long, Haiming; Zhang, Ji; Tang, Nengyu
2017-01-01
This study considers the effect of an industry's network topology on its systemic risk contribution to the stock market using data from the CSI 300 two-tier industry indices from the Chinese stock market. We first measure industry's conditional-value-at-risk (CoVaR) and the systemic risk contribution (ΔCoVaR) using the fitted time-varying t-copula function. The network of the stock industry is established based on dynamic conditional correlations with the minimum spanning tree. Then, we investigate the connection characteristics and topology of the network. Finally, we utilize seemingly unrelated regression estimation (SUR) of panel data to analyze the relationship between network topology of the stock industry and the industry's systemic risk contribution. The results show that the systemic risk contribution of small-scale industries such as real estate, food and beverage, software services, and durable goods and clothing, is higher than that of large-scale industries, such as banking, insurance and energy. Industries with large betweenness centrality, closeness centrality, and clustering coefficient and small node occupancy layer are associated with greater systemic risk contribution. In addition, further analysis using a threshold model confirms that the results are robust.
Wieters, Evie A.; Navarrete, Sergio A.
2016-01-01
Species are linked to each other by a myriad of positive and negative interactions. This complex spectrum of interactions constitutes a network of links that mediates ecological communities’ response to perturbations, such as exploitation and climate change. In the last decades, there have been great advances in the study of intricate ecological networks. We have, nonetheless, lacked both the data and the tools to more rigorously understand the patterning of multiple interaction types between species (i.e., “multiplex networks”), as well as their consequences for community dynamics. Using network statistical modeling applied to a comprehensive ecological network, which includes trophic and diverse non-trophic links, we provide a first glimpse at what the full “entangled bank” of species looks like. The community exhibits clear multidimensional structure, which is taxonomically coherent and broadly predictable from species traits. Moreover, dynamic simulations suggest that this non-random patterning of how diverse non-trophic interactions map onto the food web could allow for higher species persistence and higher total biomass than expected by chance and tends to promote a higher robustness to extinctions. PMID:27487303
Well-Posedness Results for a Class of Toxicokinetic Models
2001-07-24
estimation. The main result that we establish here regarding well-posedness of solutions is based on ideas presented in [5] and [1]. Banks and Musante [5...necessary regularity required for the model to t into the second class of abstract problems discussed by Banks and Musante . Transport models for other...upon the results of Banks and Musante by achieving well-posedness for a more general class of abstract nonlinear parabolic equations. Ackleh, Banks and
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 3 2010-01-01 2010-01-01 false Model Availability Policy Disclosures, Clauses, and Notices; Model Substitute Check Policy Disclosure and Notices C Appendix C to Part 229 Banks and... OF FUNDS AND COLLECTION OF CHECKS (REGULATION CC) Pt. 229, App. C Appendix C to Part 229—Model...
A network pharmacology study of Sendeng-4, a Mongolian medicine.
Zi, Tian; Yu, Dong
2015-02-01
We collected the data on the Sendeng-4 chemical composition corresponding targets through the literature and from DrugBank, SuperTarget, TTD (Therapeutic Targets Database) and other databases and the relevant signaling pathways from the KEGG (Kyoto Encyclopedia of Genes and Genomes) database and established models of the chemical composition-target network and chemical composition-target-disease network using Cytoscape software, the analysis indicated that the chemical composition had at least nine different types of targets that acted together to exert effects on the diseases, suggesting a "multi-component, multi-target" feature of the traditional Mongolian medicine. We also employed the rat model of rheumatoid arthritis induced by Collgen Type II to validate the key targets of the chemical components of Sendeng-4, and three of the key targets were validated through laboratory experiments, further confirming the anti-inflammatory effects of Sendeng-4. In all, this study predicted the active ingredients and targets of Sendeng-4, and explored its mechanism of action, which provided new strategies and methods for further research and development of Sendeng-4 and other traditional Mongolian medicines as well. Copyright © 2015 China Pharmaceutical University. Published by Elsevier B.V. All rights reserved.
Wheeling and Banking Strategies for Optimal Renewable Energy Deployment. International Experiences
DOE Office of Scientific and Technical Information (OSTI.GOV)
Heeter, Jenny; Vora, Ravi; Mathur, Shivani
This paper defines the principles of wheeling (i.e., transmission) tariffs and renewable energy (RE) banking provisions and their role in RE deployment in countries with plans for large-scale RE. It reviews experiences to date in the United States, Mexico, and India and discusses key policy and regulatory considerations for devising more effective wheeling and/or banking provisions for countries with ambitious RE deployment targets. The paper addresses the challenges of competing needs of stakeholders, especially those of RE generators, distribution utilities, and transmission network owners and operators. The importance of wheeling and banking and their effectiveness for financial viability of REmore » deployment is also explored. This paper aims to benefit policymakers and regulators as well as key renewable energy stakeholders. Key lessons for regulators include: creating long-term wheeling and banking policy certainty, considering incentivizing RE through discounted transmission access, and assessing the cost implications of such discounts, as well as expanding access to renewable energy customers.« less
Federal Register 2010, 2011, 2012, 2013, 2014
2011-02-17
... Money Laundering Concern AGENCY: Financial Crimes Enforcement Network, Treasury (``FinCEN''), Treasury... financial institution of primary money laundering concern pursuant to 31 U.S.C. 5318A. FinCEN is issuing... Law 107-56. Title III of the USA PATRIOT Act amended the anti- money laundering provisions of the Bank...
12 CFR Appendix D to Part 239 - Subsidiary Holding Company of a Mutual Holding Company Model Bylaws
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 4 2013-01-01 2013-01-01 false Subsidiary Holding Company of a Mutual Holding Company Model Bylaws D Appendix D to Part 239 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Pt...
12 CFR Appendix C to Part 239 - Mutual Holding Company Model Bylaws
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 4 2013-01-01 2013-01-01 false Mutual Holding Company Model Bylaws C Appendix C to Part 239 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Pt. 239, App. C Appendix C to Part 239...
12 CFR Appendix C to Part 239 - Mutual Holding Company Model Bylaws
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 4 2012-01-01 2012-01-01 false Mutual Holding Company Model Bylaws C Appendix C to Part 239 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Pt. 239, App. C Appendix C to Part 239...
12 CFR Appendix B to Part 239 - Subsidiary Holding Company of a Mutual Holding Company Model Charter
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 4 2012-01-01 2012-01-01 false Subsidiary Holding Company of a Mutual Holding Company Model Charter B Appendix B to Part 239 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Pt...
12 CFR Appendix B to Part 239 - Subsidiary Holding Company of a Mutual Holding Company Model Charter
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 4 2014-01-01 2014-01-01 false Subsidiary Holding Company of a Mutual Holding Company Model Charter B Appendix B to Part 239 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Pt...
12 CFR Appendix A to Part 239 - Mutual Holding Company Model Charter
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 4 2012-01-01 2012-01-01 false Mutual Holding Company Model Charter A Appendix A to Part 239 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Pt. 239, App. A Appendix A to Part 239...
12 CFR Appendix C to Part 239 - Mutual Holding Company Model Bylaws
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 4 2014-01-01 2014-01-01 false Mutual Holding Company Model Bylaws C Appendix C to Part 239 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Pt. 239, App. C Appendix C to Part 239...
12 CFR Appendix D to Part 239 - Subsidiary Holding Company of a Mutual Holding Company Model Bylaws
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 4 2012-01-01 2012-01-01 false Subsidiary Holding Company of a Mutual Holding Company Model Bylaws D Appendix D to Part 239 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Pt...
12 CFR Appendix A to Part 239 - Mutual Holding Company Model Charter
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 4 2014-01-01 2014-01-01 false Mutual Holding Company Model Charter A Appendix A to Part 239 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Pt. 239, App. A Appendix A to Part 239...
12 CFR Appendix B to Part 239 - Subsidiary Holding Company of a Mutual Holding Company Model Charter
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 4 2013-01-01 2013-01-01 false Subsidiary Holding Company of a Mutual Holding Company Model Charter B Appendix B to Part 239 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Pt...
12 CFR Appendix D to Part 239 - Subsidiary Holding Company of a Mutual Holding Company Model Bylaws
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 4 2014-01-01 2014-01-01 false Subsidiary Holding Company of a Mutual Holding Company Model Bylaws D Appendix D to Part 239 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Pt...
Ecological niche modelling of bank voles in Western Europe.
Amirpour Haredasht, Sara; Barrios, Miguel; Farifteh, Jamshid; Maes, Piet; Clement, Jan; Verstraeten, Willem W; Tersago, Katrien; Van Ranst, Marc; Coppin, Pol; Berckmans, Daniel; Aerts, Jean-Marie
2013-01-28
The bank vole (Myodes glareolus) is the natural host of Puumala virus (PUUV) in vast areas of Europe. PUUV is one of the hantaviruses which are transmitted to humans by infected rodents. PUUV causes a general mild form of hemorrhagic fever with renal syndrome (HFRS) called nephropathia epidemica (NE). Vector-borne and zoonotic diseases generally display clear spatial patterns due to different space-dependent factors. Land cover influences disease transmission by controlling both the spatial distribution of vectors or hosts, as well as by facilitating the human contact with them. In this study the use of ecological niche modelling (ENM) for predicting the geographical distribution of bank vole population on the basis of spatial climate information is tested. The Genetic Algorithm for Rule-set Prediction (GARP) is used to model the ecological niche of bank voles in Western Europe. The meteorological data, land cover types and geo-referenced points representing the locations of the bank voles (latitude/longitude) in the study area are used as the primary model input value. The predictive accuracy of the bank vole ecologic niche model was significant (training accuracy of 86%). The output of the GARP models based on the 50% subsets of points used for testing the model showed an accuracy of 75%. Compared with random models, the probability of such high predictivity was low (χ(2) tests, p < 10(-6)). As such, the GARP models were predictive and the used ecologic niche model indeed indicates the ecologic requirements of bank voles. This approach successfully identified the areas of infection risk across the study area. The result suggests that the niche modelling approach can be implemented in a next step towards the development of new tools for monitoring the bank vole's population.
Ecological Niche Modelling of Bank Voles in Western Europe
Amirpour Haredasht, Sara; Barrios, Miguel; Farifteh, Jamshid; Maes, Piet; Clement, Jan; Verstraeten, Willem W.; Tersago, Katrien; Van Ranst, Marc; Coppin, Pol; Berckmans, Daniel; Aerts, Jean-Marie
2013-01-01
The bank vole (Myodes glareolus) is the natural host of Puumala virus (PUUV) in vast areas of Europe. PUUV is one of the hantaviruses which are transmitted to humans by infected rodents. PUUV causes a general mild form of hemorrhagic fever with renal syndrome (HFRS) called nephropathia epidemica (NE). Vector-borne and zoonotic diseases generally display clear spatial patterns due to different space-dependent factors. Land cover influences disease transmission by controlling both the spatial distribution of vectors or hosts, as well as by facilitating the human contact with them. In this study the use of ecological niche modelling (ENM) for predicting the geographical distribution of bank vole population on the basis of spatial climate information is tested. The Genetic Algorithm for Rule-set Prediction (GARP) is used to model the ecological niche of bank voles in Western Europe. The meteorological data, land cover types and geo-referenced points representing the locations of the bank voles (latitude/longitude) in the study area are used as the primary model input value. The predictive accuracy of the bank vole ecologic niche model was significant (training accuracy of 86%). The output of the GARP models based on the 50% subsets of points used for testing the model showed an accuracy of 75%. Compared with random models, the probability of such high predictivity was low (χ2 tests, p < 10−6). As such, the GARP models were predictive and the used ecologic niche model indeed indicates the ecologic requirements of bank voles. This approach successfully identified the areas of infection risk across the study area. The result suggests that the niche modelling approach can be implemented in a next step towards the development of new tools for monitoring the bank vole’s population. PMID:23358234
NASA Astrophysics Data System (ADS)
Wyse, Lonce
An important component of perceptual object recognition is the segmentation into coherent perceptual units of the "blooming buzzing confusion" that bombards the senses. The work presented herein develops neural network models of some key processes of pre-attentive vision and audition that serve this goal. A neural network model, called an FBF (Feature -Boundary-Feature) network, is proposed for automatic parallel separation of multiple figures from each other and their backgrounds in noisy images. Figure-ground separation is accomplished by iterating operations of a Boundary Contour System (BCS) that generates a boundary segmentation of a scene, and a Feature Contour System (FCS) that compensates for variable illumination and fills-in surface properties using boundary signals. A key new feature is the use of the FBF filling-in process for the figure-ground separation of connected regions, which are subsequently more easily recognized. The new CORT-X 2 model is a feed-forward version of the BCS that is designed to detect, regularize, and complete boundaries in up to 50 percent noise. It also exploits the complementary properties of on-cells and off -cells to generate boundary segmentations and to compensate for boundary gaps during filling-in. In the realm of audition, many sounds are dominated by energy at integer multiples, or "harmonics", of a fundamental frequency. For such sounds (e.g., vowels in speech), the individual frequency components fuse, so that they are perceived as one sound source with a pitch at the fundamental frequency. Pitch is integral to separating auditory sources, as well as to speaker identification and speech understanding. A neural network model of pitch perception called SPINET (SPatial PItch NETwork) is developed and used to simulate a broader range of perceptual data than previous spectral models. The model employs a bank of narrowband filters as a simple model of basilar membrane mechanics, spectral on-center off-surround competitive interactions, and a "harmonic sieve" mechanism whereby the strength of a pitch depends only on spectral regions near harmonics. The model is evaluated using data involving mistuned components, shifted harmonics, complex tones with varying phase relationships, and continuous spectra such as rippled noise and narrow noise bands.
NASA Astrophysics Data System (ADS)
Die Moran, Andres; El kadi Abderrezzak, Kamal; Tassi, Pablo; Herouvet, Jean-Michel
2014-05-01
Bank erosion is a key process that may cause a large number of economic and environmental problems (e.g. land loss, damage to structures and aquatic habitat). Stream bank erosion (toe erosion and mass failure) represents an important form of channel morphology changes and a significant source of sediment. With the advances made in computational techniques, two-dimensional (2-D) numerical models have become valuable tools for investigating flow and sediment transport in open channels at large temporal and spatial scales. However, the implementation of mass failure process in 2D numerical models is still a challenging task. In this paper, a simple, innovative algorithm is implemented in the Telemac-Mascaret modeling platform to handle bank failure: failure occurs whether the actual slope of one given bed element is higher than the internal friction angle. The unstable bed elements are rotated around an appropriate axis, ensuring mass conservation. Mass failure of a bank due to slope instability is applied at the end of each sediment transport evolution iteration, once the bed evolution due to bed load (and/or suspended load) has been computed, but before the global sediment mass balance is verified. This bank failure algorithm is successfully tested using two laboratory experimental cases. Then, bank failure in a 1:40 scale physical model of the Rhine River composed of non-uniform material is simulated. The main features of the bank erosion and failure are correctly reproduced in the numerical simulations, namely the mass wasting at the bank toe, followed by failure at the bank head, and subsequent transport of the mobilised material in an aggradation front. Volumes of eroded material obtained are of the same order of magnitude as the volumes measured during the laboratory tests.
Global asymptotic stability of plant-seed bank models.
Eager, Eric Alan; Rebarber, Richard; Tenhumberg, Brigitte
2014-07-01
Many plant populations have persistent seed banks, which consist of viable seeds that remain dormant in the soil for many years. Seed banks are important for plant population dynamics because they buffer against environmental perturbations and reduce the probability of extinction. Viability of the seeds in the seed bank can depend on the seed's age, hence it is important to keep track of the age distribution of seeds in the seed bank. In this paper we construct a general density-dependent plant-seed bank model where the seed bank is age-structured. We consider density dependence in both seedling establishment and seed production, since previous work has highlighted that overcrowding can suppress both of these processes. Under certain assumptions on the density dependence, we prove that there is a globally stable equilibrium population vector which is independent of the initial state. We derive an analytical formula for the equilibrium population using methods from feedback control theory. We apply these results to a model for the plant species Cirsium palustre and its seed bank.
Crowley, Rebecca S; Castine, Melissa; Mitchell, Kevin; Chavan, Girish; McSherry, Tara; Feldman, Michael
2010-01-01
The authors report on the development of the Cancer Tissue Information Extraction System (caTIES)--an application that supports collaborative tissue banking and text mining by leveraging existing natural language processing methods and algorithms, grid communication and security frameworks, and query visualization methods. The system fills an important need for text-derived clinical data in translational research such as tissue-banking and clinical trials. The design of caTIES addresses three critical issues for informatics support of translational research: (1) federation of research data sources derived from clinical systems; (2) expressive graphical interfaces for concept-based text mining; and (3) regulatory and security model for supporting multi-center collaborative research. Implementation of the system at several Cancer Centers across the country is creating a potential network of caTIES repositories that could provide millions of de-identified clinical reports to users. The system provides an end-to-end application of medical natural language processing to support multi-institutional translational research programs.
Numerical Estimation of the Outer Bank Resistance Characteristics in AN Evolving Meandering River
NASA Astrophysics Data System (ADS)
Wang, D.; Konsoer, K. M.; Rhoads, B. L.; Garcia, M. H.; Best, J.
2017-12-01
Few studies have examined the three-dimensional flow structure and its interaction with bed morphology within elongate loops of large meandering rivers. The present study uses a numerical model to simulate the flow pattern and sediment transport, especially the flow close to the outer-bank, at two elongate meandering loops in Wabash River, USA. The numerical grid for the model is based on a combination of airborne LIDAR data on floodplains and the multibeam data within the river channel. A Finite Element Method (FEM) is used to solve the non-hydrostatic RANS equation using a K-epsilon turbulence closure scheme. High-resolution topographic data allows detailed numerical simulation of flow patterns along the outer bank and model calibration involves comparing simulated velocities to ADCP measurements at 41 cross sections near this bank. Results indicate that flow along the outer bank is strongly influenced by large resistance elements, including woody debris, large erosional scallops within the bank face, and outcropping bedrock. In general, patterns of bank migration conform with zones of high near-bank velocity and shear stress. Using the existing model, different virtual events can be simulated to explore the impacts of different resistance characteristics on patterns of flow, sediment transport, and bank erosion.
Sensitivity of marine protected area network connectivity to atmospheric variability
NASA Astrophysics Data System (ADS)
Fox, Alan D.; Henry, Lea-Anne; Corne, David W.; Roberts, J. Murray
2016-11-01
International efforts are underway to establish well-connected systems of marine protected areas (MPAs) covering at least 10% of the ocean by 2020. But the nature and dynamics of ocean ecosystem connectivity are poorly understood, with unresolved effects of climate variability. We used 40-year runs of a particle tracking model to examine the sensitivity of an MPA network for habitat-forming cold-water corals in the northeast Atlantic to changes in larval dispersal driven by atmospheric cycles and larval behaviour. Trajectories of Lophelia pertusa larvae were strongly correlated to the North Atlantic Oscillation (NAO), the dominant pattern of interannual atmospheric circulation variability over the northeast Atlantic. Variability in trajectories significantly altered network connectivity and source-sink dynamics, with positive phase NAO conditions producing a well-connected but asymmetrical network connected from west to east. Negative phase NAO produced reduced connectivity, but notably some larvae tracked westward-flowing currents towards coral populations on the mid-Atlantic ridge. Graph theoretical metrics demonstrate critical roles played by seamounts and offshore banks in larval supply and maintaining connectivity across the network. Larval longevity and behaviour mediated dispersal and connectivity, with shorter lived and passive larvae associated with reduced connectivity. We conclude that the existing MPA network is vulnerable to atmospheric-driven changes in ocean circulation.
Directed clustering coefficient as a measure of systemic risk in complex banking networks
NASA Astrophysics Data System (ADS)
Tabak, Benjamin M.; Takami, Marcelo; Rocha, Jadson M. C.; Cajueiro, Daniel O.; Souza, Sergio R. S.
2014-01-01
Recent literature has focused on the study of systemic risk in complex networks. It is clear now, after the crisis of 2008, that the aggregate behavior of the interaction among agents is not straightforward and it is very difficult to predict. Contributing to this debate, this paper shows that the directed clustering coefficient may be used as a measure of systemic risk in complex networks. Furthermore, using data from the Brazilian interbank network, we show that the directed clustering coefficient is negatively correlated with domestic interest rates.
PubNet: a flexible system for visualizing literature derived networks
Douglas, Shawn M; Montelione, Gaetano T; Gerstein, Mark
2005-01-01
We have developed PubNet, a web-based tool that extracts several types of relationships returned by PubMed queries and maps them into networks, allowing for graphical visualization, textual navigation, and topological analysis. PubNet supports the creation of complex networks derived from the contents of individual citations, such as genes, proteins, Protein Data Bank (PDB) IDs, Medical Subject Headings (MeSH) terms, and authors. This feature allows one to, for example, examine a literature derived network of genes based on functional similarity. PMID:16168087
A model of a code of ethics for tissue banks operating in developing countries.
Morales Pedraza, Jorge
2012-12-01
Ethical practice in the field of tissue banking requires the setting of principles, the identification of possible deviations and the establishment of mechanisms that will detect and hinder abuses that may occur during the procurement, processing and distribution of tissues for transplantation. This model of a Code of Ethics has been prepared with the purpose of being used for the elaboration of a Code of Ethics for tissue banks operating in the Latin American and the Caribbean, Asia and the Pacific and the African regions in order to guide the day-to-day operation of these banks. The purpose of this model of Code of Ethics is to assist interested tissue banks in the preparation of their own Code of Ethics towards ensuring that the tissue bank staff support with their actions the mission and values associated with tissue banking.
NASA Astrophysics Data System (ADS)
Gomez-Velez, J. D.; Harvey, J. W.
2014-12-01
Hyporheic exchange has been hypothesized to have basin-scale consequences; however, predictions throughout river networks are limited by available geomorphic and hydrogeologic data as well as models that can analyze and aggregate hyporheic exchange flows across large spatial scales. We developed a parsimonious but physically-based model of hyporheic flow for application in large river basins: Networks with EXchange and Subsurface Storage (NEXSS). At the core of NEXSS is a characterization of the channel geometry, geomorphic features, and related hydraulic drivers based on scaling equations from the literature and readily accessible information such as river discharge, bankfull width, median grain size, sinuosity, channel slope, and regional groundwater gradients. Multi-scale hyporheic flow is computed based on combining simple but powerful analytical and numerical expressions that have been previously published. We applied NEXSS across a broad range of geomorphic diversity in river reaches and synthetic river networks. NEXSS demonstrates that vertical exchange beneath submerged bedforms dominates hyporheic fluxes and turnover rates along the river corridor. Moreover, the hyporheic zone's potential for biogeochemical transformations is comparable across stream orders, but the abundance of lower-order channels results in a considerably higher cumulative effect for low-order streams. Thus, vertical exchange beneath submerged bedforms has more potential for biogeochemical transformations than lateral exchange beneath banks, although lateral exchange through meanders may be important in large rivers. These results have implications for predicting outcomes of river and basin management practices.
Predicting the Rate of River Bank Erosion Caused by Large Wood Log
NASA Astrophysics Data System (ADS)
Zhang, N.; Rutherfurd, I.; Ghisalberti, M.
2016-12-01
When a single tree falls into a river channel, flow is deflected and accelerated between the tree roots and the bank face, increasing shear stress and scouring the bank. The scallop shaped erosion increases the diversity of the channel morphology, but also causes concern for adjacent landholders. Concern about increased bank erosion is one of the main reasons for large wood to still be removed from channels in SE Australia. Further, the hydraulic effect of many logs in the channel can reduce overall bank erosion rates. Although both phenomena have been described before, this research develops a hydraulic model that estimates their magnitude, and tests and calibrates this model with flume and field measurements, with logs with various configurations and sizes. Specifically, the model estimates the change in excess shear stress on the bank associated . The model addresses the effect of the log angle, distance from bank, and log size and flow condition by solving the mass continuity and energy conservation between the cross section at the approaching flow and contracted flow. Then, we evaluate our model against flume experiment preformed with semi-realistic log models to represent logs in different sizes and decay stages by comparing the measured and simulated velocity increase in the gap between the log and the bank. The log angle, distance from bank, and flow condition are systemically varied for each log model during the experiment. Final, the calibrated model is compared with the field data collected in anabranching channels of Murray River in SE Australia where there are abundant instream logs and regulated and consistent high flow for irrigation. Preliminary results suggest that a log can significantly increase the shear stress on the bank, especially when it positions perpendicular to the flow. The shear stress increases with the log angle in a rising curve (The log angle is the angle between log trunk and flow direction. 0o means log is parallel to flow with canopy pointing downstream). However, the shear stress shows insignificant changes as the log is being moved close to the bank.
Sinkhole-like structures as bioproductivity hotspots in the Abrolhos Bank
NASA Astrophysics Data System (ADS)
Cavalcanti, Giselle S.; Gregoracci, Gustavo B.; Longo, Leila de L.; Bastos, Alex C.; Ferreira, Camilo M.; Francini-Filho, Ronaldo B.; Paranhos, Rodolfo; Ghisolfi, Renato D.; Krüger, Ricardo; Güth, Arthur Z.; Sumida, Paulo Y. G.; Bruce, Thiago; Maia-Neto, Oswaldo; de O. Santos, Eidy; Iida, Tetsuya; Moura, Rodrigo L.; Amado-Filho, Gilberto M.; Thompson, Fabiano L.
2013-11-01
We performed a biological survey in the novel system of sinkhole-like structures ("buracas") of the Abrolhos Bank, Brazil. We found dissimilar benthic assemblages and higher nutrient concentration, microbial abundance (and activity) and fish abundance inside the buracas than in the surrounding rhodolith beds. Our results support the view that these cup-shaped structures trap and accumulate organic matter, functioning as productivity hotspots in the mid and outer shelf of the central portion of the Abrolhos Bank shelf, where they aggregate biomass of commercially important fishes. This distinctive system is being increasingly pressured by commercial fisheries and needs urgent management measures such as fishing effort control and representation in the network of Marine Protected Areas (MPAS).
Money-center structures in dynamic banking systems
NASA Astrophysics Data System (ADS)
Li, Shouwei; Zhang, Minghui
2016-10-01
In this paper, we propose a dynamic model for banking systems based on the description of balance sheets. It generates some features identified through empirical analysis. Through simulation analysis of the model, we find that banking systems have the feature of money-center structures, that bank asset distributions are power-law distributions, and that contract size distributions are log-normal distributions.
Analyzing the Validity of Relationship Banking through Agent-based Modeling
NASA Astrophysics Data System (ADS)
Nishikido, Yukihito; Takahashi, Hiroshi
This article analyzes the validity of relationship banking through agent-based modeling. In the analysis, we especially focus on the relationship between economic conditions and both lenders' and borrowers' behaviors. As a result of intensive experiments, we made the following interesting findings: (1) Relationship banking contributes to reducing bad loan; (2) relationship banking is more effective in enhancing the market growth compared to transaction banking, when borrowers' sales scale is large; (3) keener competition among lenders may bring inefficiency to the market.
The knowns and unknowns of human milk banking.
Simmer, Karen
2011-01-01
The provision of donor human milk instead of formula is an important contribution to the nutrition and protection from infections for preterm infants. Systematic reviews suggest a lower risk of necrotizing enterocolitis with pasteurized donor human milk (PDHM) as opposed to artificial formula, although evidence supporting PDHM use from randomized control trials is limited. Human milk banks (HMBs) must have a risk management system to maintain a safe product especially as many operate in an unregulated environment. To ensure safety, the HMB in Australia has committed to meet the appropriate standards recommended in the Code of Good Manufacturing Practices (Blood and Tissues) and models risk management during processing on Codex HACCP (Hazard Analysis Critical Control Point) requirements. There is scope to continually reevaluate the screening of donors and quality standards recommended during HMB. This will be most effective if strong networks of HMBs are developed with regional reference laboratories to encourage compliance with safety guidelines. Further research and development is needed to refine technology for treating donor milk such as thermal ultrasound and ultraviolet light, aimed at the retention of full bioactivity. HMB networks will facilitate collection of evidence for refining HMB practice which should translate to improved outcomes for preterm and sick infants. Cost effectiveness is most likely when HMBs are associated with large neonatal intensive care units. Copyright © 2011 S. Karger AG, Basel.
... to locate registered dietician nutritionists (RDNs). Offers many consumer-geared resources . Food assistance Feeding America – Nationwide network ... food banks. Also offers information & links to help consumers determine their eligibility for federal food assistance such ...
The BioGRID interaction database: 2017 update
Chatr-aryamontri, Andrew; Oughtred, Rose; Boucher, Lorrie; Rust, Jennifer; Chang, Christie; Kolas, Nadine K.; O'Donnell, Lara; Oster, Sara; Theesfeld, Chandra; Sellam, Adnane; Stark, Chris; Breitkreutz, Bobby-Joe; Dolinski, Kara; Tyers, Mike
2017-01-01
The Biological General Repository for Interaction Datasets (BioGRID: https://thebiogrid.org) is an open access database dedicated to the annotation and archival of protein, genetic and chemical interactions for all major model organism species and humans. As of September 2016 (build 3.4.140), the BioGRID contains 1 072 173 genetic and protein interactions, and 38 559 post-translational modifications, as manually annotated from 48 114 publications. This dataset represents interaction records for 66 model organisms and represents a 30% increase compared to the previous 2015 BioGRID update. BioGRID curates the biomedical literature for major model organism species, including humans, with a recent emphasis on central biological processes and specific human diseases. To facilitate network-based approaches to drug discovery, BioGRID now incorporates 27 501 chemical–protein interactions for human drug targets, as drawn from the DrugBank database. A new dynamic interaction network viewer allows the easy navigation and filtering of all genetic and protein interaction data, as well as for bioactive compounds and their established targets. BioGRID data are directly downloadable without restriction in a variety of standardized formats and are freely distributed through partner model organism databases and meta-databases. PMID:27980099
Maximizing the phylogenetic diversity of seed banks.
Griffiths, Kate E; Balding, Sharon T; Dickie, John B; Lewis, Gwilym P; Pearce, Tim R; Grenyer, Richard
2015-04-01
Ex situ conservation efforts such as those of zoos, botanical gardens, and seed banks will form a vital complement to in situ conservation actions over the coming decades. It is therefore necessary to pay the same attention to the biological diversity represented in ex situ conservation facilities as is often paid to protected-area networks. Building the phylogenetic diversity of ex situ collections will strengthen our capacity to respond to biodiversity loss. Since 2000, the Millennium Seed Bank Partnership has banked seed from 14% of the world's plant species. We assessed the taxonomic, geographic, and phylogenetic diversity of the Millennium Seed Bank collection of legumes (Leguminosae). We compared the collection with all known legume genera, their known geographic range (at country and regional levels), and a genus-level phylogeny of the legume family constructed for this study. Over half the phylogenetic diversity of legumes at the genus level was represented in the Millennium Seed Bank. However, pragmatic prioritization of species of economic importance and endangerment has led to the banking of a less-than-optimal phylogenetic diversity and prioritization of range-restricted species risks an underdispersed collection. The current state of the phylogenetic diversity of legumes in the Millennium Seed Bank could be substantially improved through the strategic banking of relatively few additional taxa. Our method draws on tools that are widely applied to in situ conservation planning, and it can be used to evaluate and improve the phylogenetic diversity of ex situ collections. © 2014 Society for Conservation Biology.
Bank gully extraction from DEMs utilizing the geomorphologic features of a loess hilly area in China
NASA Astrophysics Data System (ADS)
Yang, Xin; Na, Jiaming; Tang, Guoan; Wang, Tingting; Zhu, Axing
2018-04-01
As one of most active gully types in the Chinese Loess Plateau, bank gullies generally indicate soil loss and land degradation. This study addressed the lack of detailed, large scale monitoring of bank gullies and proposed a semi-automatic method for extracting bank gullies, given typical topographic features based on 5 m resolution DEMs. First, channel networks, including bank gullies, are extracted through an iterative channel burn-in algorithm. Second, gully heads are correctly positioned based on the spatial relationship between gully heads and their corresponding gully shoulder lines. Third, bank gullies are distinguished from other gullies using the newly proposed topographic measurement of "relative gully depth (RGD)." The experimental results from the loess hilly area of the Linjiajian watershed in the Chinese Loess Plateau show that the producer accuracy reaches 87.5%. The accuracy is affected by the DEM resolution and RGD parameters, as well as the accuracy of the gully shoulder line. The application in the Madigou watershed with a high DEM resolution validated the duplicability of this method in other areas. The overall performance shows that bank gullies can be extracted with acceptable accuracy over a large area, which provides essential information for research on soil erosion, geomorphology, and environmental ecology.
2012-03-01
to sell fake antivirus software ; Gammima, which was used to steal gaming login information; and Zeus, which was used to steal banking information...13 3. Viruses ......................................14 C. PROOF OF CONCEPT OF SOFTWARE TRAINING USING MALWARE MIMICS...33 2. Software .....................................34 3. COMPOSE CG-71 Virtual Machines ...............37 a. Integrated Shipboard Network System
78 FR 64481 - Marine Mammals; Issuance of Permits
Federal Register 2010, 2011, 2012, 2013, 2014
2013-10-29
... the northern Outer Banks seasonally and year-round; (3) identify and characterize any biological and... networks and male pair bonds; and (5) promote awareness of bottlenose dolphin conservation throughout the...
Wong, Kit Fai
2011-01-01
Virtual blood bank is the computer-controlled, electronically linked information management system that allows online ordering and real-time, remote delivery of blood for transfusion. It connects the site of testing to the point of care at a remote site in a real-time fashion with networked computers thus maintaining the integrity of immunohematology test results. It has taken the advantages of information and communication technologies to ensure the accuracy of patient, specimen and blood component identification and to enhance personnel traceability and system security. The built-in logics and process constraints in the design of the virtual blood bank can guide the selection of appropriate blood and minimize transfusion risk. The quality of blood inventory is ascertained and monitored, and an audit trail for critical procedures in the transfusion process is provided by the paperless system. Thus, the virtual blood bank can help ensure that the right patient receives the right amount of the right blood component at the right time. PMID:21383930
Going Deeper With Contextual CNN for Hyperspectral Image Classification.
Lee, Hyungtae; Kwon, Heesung
2017-10-01
In this paper, we describe a novel deep convolutional neural network (CNN) that is deeper and wider than other existing deep networks for hyperspectral image classification. Unlike current state-of-the-art approaches in CNN-based hyperspectral image classification, the proposed network, called contextual deep CNN, can optimally explore local contextual interactions by jointly exploiting local spatio-spectral relationships of neighboring individual pixel vectors. The joint exploitation of the spatio-spectral information is achieved by a multi-scale convolutional filter bank used as an initial component of the proposed CNN pipeline. The initial spatial and spectral feature maps obtained from the multi-scale filter bank are then combined together to form a joint spatio-spectral feature map. The joint feature map representing rich spectral and spatial properties of the hyperspectral image is then fed through a fully convolutional network that eventually predicts the corresponding label of each pixel vector. The proposed approach is tested on three benchmark data sets: the Indian Pines data set, the Salinas data set, and the University of Pavia data set. Performance comparison shows enhanced classification performance of the proposed approach over the current state-of-the-art on the three data sets.
NASA Astrophysics Data System (ADS)
Dum, Ralph
Various types of diverse networks — communication networks, transport networks, global business networks, networks of friends, or the Internet — shape our daily life and the way we think and act. We depend on various social, economic, and technological networks that weave a tissue of businesses, governments, technologies and that contain us as citizens, users, or customers. We only become aware of our dependence if failures occur in these networks: when cities are plunged into darkness because of a breakdown of the power grid like happened recently in New York, when national economies collapse because of a failure of global financial systems like happened in the South-Asian banking crisis, or when computer viruses spread with mind-boggling speed over information networks destroying or, even worse, exposing sensitive data.
77 FR 67007 - Federal Reserve Bank Services Private Sector Adjustment Factor
Federal Register 2010, 2011, 2012, 2013, 2014
2012-11-08
... had characteristics most analogous to correspondent banks, clearing balances held by depository institutions at Reserve Banks were a primary component in computing the PSAF. The clearing balance program was largely modeled after similar programs offered by correspondent banks, wherein banks maintain balances...
Susan E. Meyer; Dana Quinney; Jay Weaver
2006-01-01
Population viability analysis (PVA) is a valuable tool for rare plant conservation, but PVA for plants with persistent seed banks is difficult without reliable information on seed bank processes. We modeled the population dynamics of the Snake River Plains ephemeral Lepidium papilliferum using data from an 11-yr artificial seed bank experiment to estimate age-specific...
Code of Federal Regulations, 2010 CFR
2010-01-01
... provide information about the impact of adverse market events on a bank's covered positions. Backtests provide information about the accuracy of an internal model by comparing a bank's daily VAR measures to... Banks; Market Risk Measure E Appendix E to Part 208 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF...
Evaluating Kuala Lumpur stock exchange oriented bank performance with stochastic frontiers
NASA Astrophysics Data System (ADS)
Baten, M. A.; Maznah, M. K.; Razamin, R.; Jastini, M. J.
2014-12-01
Banks play an essential role in the economic development and banks need to be efficient; otherwise, they may create blockage in the process of development in any country. The efficiency of banks in Malaysia is important and should receive greater attention. This study formulated an appropriate stochastic frontier model to investigate the efficiency of banks which are traded on Kuala Lumpur Stock Exchange (KLSE) market during the period 2005-2009. All data were analyzed to obtain the maximum likelihood method to estimate the parameters of stochastic production. Unlike the earlier studies which use balance sheet and income statements data, this study used market data as the input and output variables. It was observed that banks listed in KLSE exhibited a commendable overall efficiency level of 96.2% during 2005-2009 hence suggesting minimal input waste of 3.8%. Among the banks, the COMS (Cimb Group Holdings) bank is found to be highly efficient with a score of 0.9715 and BIMB (Bimb Holdings) bank is noted to have the lowest efficiency with a score of 0.9582. The results also show that Cobb-Douglas stochastic frontier model with truncated normal distributional assumption is preferable than Translog stochastic frontier model.
Bailly, Jean-Stéphane; Vinatier, Fabrice
2018-01-01
To optimize ecosystem services provided by agricultural drainage networks (ditches) in headwater catchments, we need to manage the spatial distribution of plant species living in these networks. Geomorphological variables have been shown to be important predictors of plant distribution in other ecosystems because they control the water regime, the sediment deposition rates and the sun exposure in the ditches. Whether such variables may be used to predict plant distribution in agricultural drainage networks is unknown. We collected presence and absence data for 10 herbaceous plant species in a subset of a network of drainage ditches (35 km long) within a Mediterranean agricultural catchment. We simulated their spatial distribution with GLM and Maxent model using geomorphological variables and distance to natural lands and roads. Models were validated using k-fold cross-validation. We then compared the mean Area Under the Curve (AUC) values obtained for each model and other metrics issued from the confusion matrices between observed and predicted variables. Based on the results of all metrics, the models were efficient at predicting the distribution of seven species out of ten, confirming the relevance of geomorphological variables and distance to natural lands and roads to explain the occurrence of plant species in this Mediterranean catchment. In particular, the importance of the landscape geomorphological variables, ie the importance of the geomorphological features encompassing a broad environment around the ditch, has been highlighted. This suggests that agro-ecological measures for managing ecosystem services provided by ditch plants should focus on the control of the hydrological and sedimentological connectivity at the catchment scale. For example, the density of the ditch network could be modified or the spatial distribution of vegetative filter strips used for sediment trapping could be optimized. In addition, the vegetative filter strips could constitute new seed bank sources for species that are affected by the distance to natural lands and roads. PMID:29360857
Rudi, Gabrielle; Bailly, Jean-Stéphane; Vinatier, Fabrice
2018-01-01
To optimize ecosystem services provided by agricultural drainage networks (ditches) in headwater catchments, we need to manage the spatial distribution of plant species living in these networks. Geomorphological variables have been shown to be important predictors of plant distribution in other ecosystems because they control the water regime, the sediment deposition rates and the sun exposure in the ditches. Whether such variables may be used to predict plant distribution in agricultural drainage networks is unknown. We collected presence and absence data for 10 herbaceous plant species in a subset of a network of drainage ditches (35 km long) within a Mediterranean agricultural catchment. We simulated their spatial distribution with GLM and Maxent model using geomorphological variables and distance to natural lands and roads. Models were validated using k-fold cross-validation. We then compared the mean Area Under the Curve (AUC) values obtained for each model and other metrics issued from the confusion matrices between observed and predicted variables. Based on the results of all metrics, the models were efficient at predicting the distribution of seven species out of ten, confirming the relevance of geomorphological variables and distance to natural lands and roads to explain the occurrence of plant species in this Mediterranean catchment. In particular, the importance of the landscape geomorphological variables, ie the importance of the geomorphological features encompassing a broad environment around the ditch, has been highlighted. This suggests that agro-ecological measures for managing ecosystem services provided by ditch plants should focus on the control of the hydrological and sedimentological connectivity at the catchment scale. For example, the density of the ditch network could be modified or the spatial distribution of vegetative filter strips used for sediment trapping could be optimized. In addition, the vegetative filter strips could constitute new seed bank sources for species that are affected by the distance to natural lands and roads.
Bank stability as a risk factor for pipeline infrastructure: a Scottish example
NASA Astrophysics Data System (ADS)
Maniatis, Georgios; Williams, Richard; Hoey, Trevor
2017-04-01
Bank erosion is a spatially variable process controlled by a number of factors that are interrelated (e.g. grain size, moisture content, organic content, vegetation, bank gradient). As a risk factor, bank erosion has been strongly connected to the failure of infrastructure that crosses or is adjacent to morphologically dynamic rivers. To manage this risk, comprehensive infrastructure asset management programs should include risk assessment of all structures that cross or are near a river. In Scotland, a significant proportion of cross-river infrastructure is pipe bridges, for both clean and waste water. These river crossings are maintained and managed by Scottish Water, a supplier responsible for a 48,000 km long drinking water pipe network and a 52,000 km long wastewater pipe network. Recently, Scottish Water began a comprehensive pipe bridge asset inspection program, which incorporates the acquisition of data to assess riverbank stability. The first step in the development of this database is the use of a prototype software application (a tablet app) which simplifies the surveying process by framing specific geomorphological questions and surveying tasks. As a result, the surveys can be conducted by inspectors with no specialist training in bank stability assessment and then reviewed by those with more expertise. Here, results are presented of a review of survey data, enabling the identification of the assets that are most at risk from bank erosion. The assessment focuses on assets from catchments in two contrasting areas of Scotland; the Hebrides and Glasgow. The uncertainty analysis focuses on input data quality and the variability of information available for desk based risk assessments using Geographic Information Systems (GIS). In parallel, considerations regarding the extension of this framework towards a unified strategy for assessing bank erosion are discussed such as the selection of a statistical framework and the catchment classification process. Finally, we discuss the process of knowledge exchange, where an industrial organization benefits from the scientific input and the academic organization benefits from the access to rapid surveying input at a country scale.
12 CFR Appendix A to Part 704 - Model Forms
Code of Federal Regulations, 2011 CFR
2011-01-01
... 12 Banks and Banking 6 2011-01-01 2011-01-01 false Model Forms A Appendix A to Part 704 Banks and... Pt. 704, App. A Appendix A to Part 704—Model Forms This appendix contains sample forms intended for... corporate credit union. (8) Paid-in capital is perpetual maturity and noncumulative dividend. I have read...
12 CFR Appendix A to Part 704 - Model Forms
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Model Forms A Appendix A to Part 704 Banks and... Pt. 704, App. A Appendix A to Part 704—Model Forms This appendix contains sample forms intended for... corporate credit union. (8) Paid-in capital is perpetual maturity and noncumulative dividend. I have read...
2013-11-04
the Army Research Office. vii 1 | P a g e Network Science Center, West Point www.netscience.usma.edu 845.938.0804 May 2013 “Who do...own specific centrality metrics. 2 | P a g e Network Science Center, West Point www.netscience.usma.edu 845.938.0804 Background The...of the world’s social and economic problems. Major international organizations such as the World Bank , International Monetary Fund, and the United
Discovering SIFIs in Interbank Communities
Pecora, Nicolò; Rovira Kaltwasser, Pablo; Spelta, Alessandro
2016-01-01
This paper proposes a new methodology based on non-negative matrix factorization to detect communities and to identify central nodes in a network as well as within communities. The method is specifically designed for directed weighted networks and, consequently, it has been applied to the interbank network derived from the e-MID interbank market. In an interbank network indeed links are directed, representing flows of funds between lenders and borrowers. Besides distinguishing between Systemically Important Borrowers and Lenders, the technique complements the detection of systemically important banks, revealing the community structure of the network, that proxies the most plausible areas of contagion of institutions’ distress. PMID:28002445
Influences of VSAT network on the economical and industrial development
NASA Astrophysics Data System (ADS)
Lancrenon, B.; Lorent, P.
1990-10-01
The adaptable, rapidly assembled and operational VSAT (very small aperature terminal) satellite network is a tool which rapidly provides essential digital infrastructure for business communication networks in order to support and stimulate the development of modern industry. A market analysis is given for VSATs, discussing such topics as applications of the product, retail and distribution, banking finance, and manufacturing industry. The centralized booking of the tourism transport sector is also investigated. The network including the earth stations, the satellite, the systems aspects, and the network management is described in detail and diagrams are provided. Some estimates of space channel cost per year are given.
NASA Astrophysics Data System (ADS)
Schaeffer, A. J.; Snyder, D. B.; Cairns, S.; Elliot, B.; Audet, P.; Esteve, C.; Murray-Bergquist, L.; Falck, H.
2016-12-01
The tectonic evolution of the Beaufort Sea continental margin has contributed to the maturation of these rocks into a major petroleum reservoir. Recent shallow offshore seismic reflection data suggest that Banks Island represents thin crust along a rifted margin established during the opening of the Arctic Ocean. In this case, rifting of the margin caused Banks Island to subside and accumulate sediments rich in petroleum source material. The cooling history and further subsidence of these sediments is important for understanding the thermal maturation of petroleum products. Recently published surface-wave velocity models of North America indicate seismic velocities at 100-150 km depths similar to those beneath Canada's diamond mines in the central Slave craton north of Yellowknife. These results imply that Banks Island is part of the Canadian Shield and that any kimberlites found thereon might contain diamonds. However, the fast velocities are inconsistent with this being a tectonically disrupted and thinned lithosphere along the Arctic margin of the Canada Basin. The problem is therefore to reconcile mantle structure typical of the Canadian Shield with crust typical of a rifted passive margin. Possibly related seismicity beneath the Mackenize River Delta and offshore in the Beaufort Sea has been observed for decades but its origin remains unknown, although has been suggested as due to incipient subduction of oceanic lithosphere beneath the North American craton. Resolving these questions requires high-resolution 3-D seismic models obtained from an array of broadband seismograph stations. Here we present preliminary results on the structure of the crust and uppermost mantle underlying the western Canadian Arctic. These results are generated using new data from the Banks Island Seismograph Network (BISN), three stations installed over the summer of 2014 and 2015; augmented with several USArray Transportable Array stations and older POLARIS and CNSN stations on neighbouring Arctic Islands.
Network centrality measures and systemic risk: An application to the Turkish financial crisis
NASA Astrophysics Data System (ADS)
Kuzubaş, Tolga Umut; Ömercikoğlu, Inci; Saltoğlu, Burak
2014-07-01
In this paper, we analyze the performance of several network centrality measures in detecting systemically important financial institutions (SIFI) using data from the Turkish Interbank market during the financial crisis in 2000. We employ various network investigation tools such as volume, transactions, links, connectivity and reciprocity to gain a clearer picture of the network topology of the interbank market. We study the main borrower role of Demirbank in the crash of the banking system with network centrality measures which are extensively used in the network theory. This ex-post analysis of the crisis shows that centrality measures perform well in identifying and monitoring systemically important financial institutions which provide useful insights for financial regulations.
Internet Banking Adoption: Case of Lithuania and Latvia
ERIC Educational Resources Information Center
Gaile-Sarkane, Elina; Jureviciene, Diva; Skvarciany, Viktorija; Iljins, Juris
2017-01-01
The banking sector has developed and extended usage of different services at a distance using the internet in the last decade. Internet-based banking services dominate over other historically provided alternatives. This paper explores the adoption of internet banking in Lithuania and Latvia. Internet banking success model was developed based on…
31 CFR 1024.620 - Due diligence programs for private banking accounts.
Code of Federal Regulations, 2011 CFR
2011-07-01
... Finance (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR MUTUAL FUNDS Special Standards of Diligence; Prohibitions; and Special Measures for Mutual Funds § 1024.620 Due...
What makes Stellwagen Bank a whale feeding ground?
NASA Astrophysics Data System (ADS)
Zhai, X.; Flierl, G.; Lermusiaux, P. F. J.; Haley, P. J., Jr.; McCarthy, J. J.
2016-12-01
Stellwagen Bank lies at the Massachusetts Bay's eastern boundary with the Gulf of Maine (GoM) and is encompassed by the Gerry E. Studds Stellwagen Bank National Marine Sanctuary. It is a shoal with primarily sandy bottom and with water depth ranging from 20 meters to 40 meters. All across the Bank these waters are highly productive and support a large and diverse planktonic community and benthic community, a large fish diversity and fish biomass, and it is one of the most active whale feeding grounds in coastal waters of the United States makes. According to previous studies, several factors may contribute to the high biomass over sea banks and sea mounts, such as local enhancement due to high dissolved inorganic nitrogen (DIN = NH4 + NO3) and subsequent retention of productivity, plus the advection and local concentration of food produced elsewhere. In this research, the biological and physical processes which can cause the biomass patterns and accumulations over the Stellwagen Bank and its vicinity are investigated separately and together, using a 3D model which has been built in the MSEAS (Multidisciplinary simulation, estimation, and assimilation system) and a simple 2D cross-bank profile model. The study is focused on figuring out which are the dominant factors and processes that contribute to the abundant food in the Stellwagen Bank ecosystem and are responsible for sustaining the large biomass over the Bank, and how local or regional changes in climate and circulation might affect the food availability in this important whale feeding ground. The 2D model result shows that zooplankton diel migration can significantly affect the biological biomass and DIN concentration over the Bank. Both the 2D and 3D models show that upwelling induced by the Bank topography play an important role in nutrient and biomass enhancement.
Modelling river bank retreat by combining fluvial erosion, seepage and mass failure
NASA Astrophysics Data System (ADS)
Dapporto, S.; Rinaldi, M.
2003-04-01
Streambank erosion processes contribute significantly to the sediment yielded from a river system and represent an important issue in the contexts of soil degradation and river management. Bank retreat is controlled by a complex interaction of hydrologic, geotechnical, and hydraulic processes. The capability of modelling these different components allows for a full reconstruction and comprehension of the causes and rates of bank erosion. River bank retreat during a single flow event has been modelled by combining simulation of fluvial erosion, seepage, and mass failures. The study site, along the Sieve River (Central Italy), has been subject to extensive researches, including monitoring of pore water pressures for a period of 4 years. The simulation reconstructs fairly faithfully the observed changes, and is used to: a) test the potentiality and discuss advantages and limitations of such type of methodology for modelling bank retreat; c) quantify the contribution and mutual role of the different processes determining bank retreat. The hydrograph of the event is divided in a series of time steps. Modelling of the riverbank retreat includes for each step the following components: a) fluvial erosion and consequent changes in bank geometry; b) finite element seepage analysis; c) stability analysis by limit equilibrium method. Direct fluvial shear erosion is computed using empirically derived relationships expressing lateral erosion rate as a function of the excess of shear stress to the critical entrainment value for the different materials along the bank profile. Lateral erosion rate has been calibrated on the basis of the total bank retreat measured by digital terrestrial photogrammetry. Finite element seepage analysis is then conducted to reconstruct the saturated and unsaturated flow within the bank and the pore water pressure distribution for each time step. The safety factor for mass failures is then computed, using the pore water pressure distribution obtained by the seepage analysis, and the geometry of the upper bank is modified in case of failure.
Tsai, Sang-Bing; Chen, Kuan-Yu; Zhao, Hongrui; Wei, Yu-Min; Wang, Cheng-Kuang; Zheng, Yuxiang; Chang, Li-Chung; Wang, Jiangtao
2016-01-01
Financial supervision means that monetary authorities have the power to supervise and manage financial institutions according to laws. Monetary authorities have this power because of the requirements of improving financial services, protecting the rights of depositors, adapting to industrial development, ensuring financial fair trade, and maintaining stable financial order. To establish evaluation criteria for bank supervision in China, this study integrated fuzzy theory and the decision making trial and evaluation laboratory (DEMATEL) and proposes a fuzzy-DEMATEL model. First, fuzzy theory was applied to examine bank supervision criteria and analyze fuzzy semantics. Second, the fuzzy-DEMATEL model was used to calculate the degree to which financial supervision criteria mutually influenced one another and their causal relationship. Finally, an evaluation criteria model for evaluating bank and financial supervision was established. PMID:27992449
Tsai, Sang-Bing; Chen, Kuan-Yu; Zhao, Hongrui; Wei, Yu-Min; Wang, Cheng-Kuang; Zheng, Yuxiang; Chang, Li-Chung; Wang, Jiangtao
2016-01-01
Financial supervision means that monetary authorities have the power to supervise and manage financial institutions according to laws. Monetary authorities have this power because of the requirements of improving financial services, protecting the rights of depositors, adapting to industrial development, ensuring financial fair trade, and maintaining stable financial order. To establish evaluation criteria for bank supervision in China, this study integrated fuzzy theory and the decision making trial and evaluation laboratory (DEMATEL) and proposes a fuzzy-DEMATEL model. First, fuzzy theory was applied to examine bank supervision criteria and analyze fuzzy semantics. Second, the fuzzy-DEMATEL model was used to calculate the degree to which financial supervision criteria mutually influenced one another and their causal relationship. Finally, an evaluation criteria model for evaluating bank and financial supervision was established.
A Layered Social and Operational Network Analysis
2007-03-01
organizations, networks and individuals” (OPOTUS, 2006: 5). These transnational threats, which compromise the security of the US , consist of...The focus of criminal groups is money ; the trafficking of 2-7 drugs or people, the money laundering , and the corruption are a means to generate...assassination is used (National Defense University, 1999:250). 2-8 Economic and industrial espionage, bank fraud, financial market manipulation, and
A Method for Evaluating Information Security Governance (ISG) Components in Banking Environment
NASA Astrophysics Data System (ADS)
Ula, M.; Ula, M.; Fuadi, W.
2017-02-01
As modern banking increasingly relies on the internet and computer technologies to operate their businesses and market interactions, the threats and security breaches have highly increased in recent years. Insider and outsider attacks have caused global businesses lost trillions of Dollars a year. Therefore, that is a need for a proper framework to govern the information security in the banking system. The aim of this research is to propose and design an enhanced method to evaluate information security governance (ISG) implementation in banking environment. This research examines and compares the elements from the commonly used information security governance frameworks, standards and best practices. Their strength and weakness are considered in its approaches. The initial framework for governing the information security in banking system was constructed from document review. The framework was categorized into three levels which are Governance level, Managerial level, and technical level. The study further conducts an online survey for banking security professionals to get their professional judgment about the ISG most critical components and the importance for each ISG component that should be implemented in banking environment. Data from the survey was used to construct a mathematical model for ISG evaluation, component importance data used as weighting coefficient for the related component in the mathematical model. The research further develops a method for evaluating ISG implementation in banking based on the mathematical model. The proposed method was tested through real bank case study in an Indonesian local bank. The study evidently proves that the proposed method has sufficient coverage of ISG in banking environment and effectively evaluates the ISG implementation in banking environment.
NASA Astrophysics Data System (ADS)
Hooshyar, Milad; Wang, Dingbao; Kim, Seoyoung; Medeiros, Stephen C.; Hagen, Scott C.
2016-10-01
A method for automatic extraction of valley and channel networks from high-resolution digital elevation models (DEMs) is presented. This method utilizes both positive (i.e., convergent topography) and negative (i.e., divergent topography) curvature to delineate the valley network. The valley and ridge skeletons are extracted using the pixels' curvature and the local terrain conditions. The valley network is generated by checking the terrain for the existence of at least one ridge between two intersecting valleys. The transition from unchannelized to channelized sections (i.e., channel head) in each first-order valley tributary is identified independently by categorizing the corresponding contours using an unsupervised approach based on k-means clustering. The method does not require a spatially constant channel initiation threshold (e.g., curvature or contributing area). Moreover, instead of a point attribute (e.g., curvature), the proposed clustering method utilizes the shape of contours, which reflects the entire cross-sectional profile including possible banks. The method was applied to three catchments: Indian Creek and Mid Bailey Run in Ohio and Feather River in California. The accuracy of channel head extraction from the proposed method is comparable to state-of-the-art channel extraction methods.
Long, Haiming; Tang, Nengyu
2017-01-01
This study considers the effect of an industry’s network topology on its systemic risk contribution to the stock market using data from the CSI 300 two-tier industry indices from the Chinese stock market. We first measure industry’s conditional-value-at-risk (CoVaR) and the systemic risk contribution (ΔCoVaR) using the fitted time-varying t-copula function. The network of the stock industry is established based on dynamic conditional correlations with the minimum spanning tree. Then, we investigate the connection characteristics and topology of the network. Finally, we utilize seemingly unrelated regression estimation (SUR) of panel data to analyze the relationship between network topology of the stock industry and the industry’s systemic risk contribution. The results show that the systemic risk contribution of small-scale industries such as real estate, food and beverage, software services, and durable goods and clothing, is higher than that of large-scale industries, such as banking, insurance and energy. Industries with large betweenness centrality, closeness centrality, and clustering coefficient and small node occupancy layer are associated with greater systemic risk contribution. In addition, further analysis using a threshold model confirms that the results are robust. PMID:28683130
Evaluating Kuala Lumpur stock exchange oriented bank performance with stochastic frontiers
DOE Office of Scientific and Technical Information (OSTI.GOV)
Baten, M. A.; Maznah, M. K.; Razamin, R.
Banks play an essential role in the economic development and banks need to be efficient; otherwise, they may create blockage in the process of development in any country. The efficiency of banks in Malaysia is important and should receive greater attention. This study formulated an appropriate stochastic frontier model to investigate the efficiency of banks which are traded on Kuala Lumpur Stock Exchange (KLSE) market during the period 2005–2009. All data were analyzed to obtain the maximum likelihood method to estimate the parameters of stochastic production. Unlike the earlier studies which use balance sheet and income statements data, this studymore » used market data as the input and output variables. It was observed that banks listed in KLSE exhibited a commendable overall efficiency level of 96.2% during 2005–2009 hence suggesting minimal input waste of 3.8%. Among the banks, the COMS (Cimb Group Holdings) bank is found to be highly efficient with a score of 0.9715 and BIMB (Bimb Holdings) bank is noted to have the lowest efficiency with a score of 0.9582. The results also show that Cobb-Douglas stochastic frontier model with truncated normal distributional assumption is preferable than Translog stochastic frontier model.« less
NASA Astrophysics Data System (ADS)
Johansen, Kasper; Grove, James; Denham, Robert; Phinn, Stuart
2013-01-01
Stream bank condition is an important physical form indicator for streams related to the environmental condition of riparian corridors. This research developed and applied an approach for mapping bank condition from airborne light detection and ranging (LiDAR) and high-spatial resolution optical image data in a temperate forest/woodland/urban environment. Field observations of bank condition were related to LiDAR and optical image-derived variables, including bank slope, plant projective cover, bank-full width, valley confinement, bank height, bank top crenulation, and ground vegetation cover. Image-based variables, showing correlation with the field measurements of stream bank condition, were used as input to a cumulative logistic regression model to estimate and map bank condition. The highest correlation was achieved between field-assessed bank condition and image-derived average bank slope (R2=0.60, n=41), ground vegetation cover (R=0.43, n=41), bank width/height ratio (R=0.41, n=41), and valley confinement (producer's accuracy=100%, n=9). Cross-validation showed an average misclassification error of 0.95 from an ordinal scale from 0 to 4 using the developed model. This approach was developed to support the remotely sensed mapping of stream bank condition for 26,000 km of streams in Victoria, Australia, from 2010 to 2012.
Brownell, Elizabeth A; Lussier, Mary M; Herson, Victor C; Hagadorn, James I; Marinelli, Kathleen A
2014-02-01
The Human Milk Banking Association of North America (HMBANA) is a nonprofit association that standardizes and facilitates the establishment and operation of donor human milk (DHM) banks in North America. Each HMBANA milk bank in the network collects data on the DHM it receives and distributes, but a centralized data repository does not yet exist. In 2010, the Food and Drug Administration recognized the need to collect and disseminate systematic, standardized DHM bank data and suggested that HMBANA develop a DHM data repository. This study aimed to describe data currently collected by HMBANA DHM banks and evaluate feasibility and interest in participating in a centralized data repository. We conducted phone interviews with individuals in different HMBANA milk banks and summarized descriptive statistics. Eight of 13 (61.5%) sites consented to participate. All respondents collected donor demographics, and half (50%; n = 4) rescreened donors after 6 months of continued donation. The definition of preterm milk varied between DHM banks (≤ 32 to ≤ 40 weeks). The specific computer program used to house the data also differed. Half (50%; n = 4) indicated that they would consider participation in a centralized repository. Without standardized data across all HMBANA sites, the creation of a centralized data repository is not yet feasible. Lack of standardization and transparency may deter implementation of donor milk programs in the neonatal intensive care unit setting and hinder benchmarking, research, and quality improvement initiatives.
Forensic DNA data banking by state crime labortaories
DOE Office of Scientific and Technical Information (OSTI.GOV)
McEwen, J.E.
This article reports the results of a survey of the responsible crime laboratories in the first 19 states with legislation establishing forensic DNA data banks. The survey inquired into the labs` policies and procedures regarding the collection, storage, and analysis of samples; the retention of samples and data; search protocols; access to samples and data by third parties; and related matters. The research suggests that (1) the number of samples collected from convicted offenders for DNA data banking has far surpassed the number that have been analyzed; (2) data banks have already been used in a small but growing numbermore » of cases, to locate suspects and to identify associations between unresolved cases; (3) crime labs currently plan to retain indefinitely the samples collected for their data banks; and (4) the nature and extent of security safeguards that crime labs have implemented for their data banks vary among states. The recently enacted DNA Identification Act (1994) will provide $40 million in federal matching grants to states for DNA analysis activities, so long as states comply with specified quality-assurance standards, submit to external proficiency testing, and limit access to DNA information. Although these additional funds should help to ease some sample backlogs, it remains unclear how labs will allocate the funds, as between analyzing samples for their data banks and testing evidence samples in cases without suspects. The DNA Identification Act provides penalties for the disclosure or obtaining of DNA data held by data banks that participate in CODIS, the FBI`s evolving national network of DNA data banks, but individual crime labs must also develop stringent internal safeguards to prevent breaches of data-bank security. 9 refs., 3 tabs.« less
Federal Register 2010, 2011, 2012, 2013, 2014
2010-12-20
.... SUPPLEMENTARY INFORMATION: The Annunzio-Wylie Anti-Money Laundering Act of 1992 required the Secretary of the... Trade Groups--International (1 vacancy). Industry Trade Groups--Money Services Businesses (1 vacancy...
Sjöholm, Kristoffer; Kilsgård, Ola; Teleman, Johan; Happonen, Lotta; Malmström, Lars; Malmström, Johan
2017-01-01
Sepsis is a systemic immune response responsible for considerable morbidity and mortality. Molecular modeling of host-pathogen interactions in the disease state represents a promising strategy to define molecular events of importance for the transition from superficial to invasive infectious diseases. Here we used the Gram-positive bacterium Streptococcus pyogenes as a model system to establish a mass spectrometry based workflow for the construction of a stoichiometric surface density model between the S. pyogenes surface, the surface virulence factor M-protein, and adhered human blood plasma proteins. The workflow relies on stable isotope labeled reference peptides and selected reaction monitoring mass spectrometry analysis of a wild-type strain and an M-protein deficient mutant strain, to generate absolutely quantified protein stoichiometry ratios between S. pyogenes and interacting plasma proteins. The stoichiometry ratios in combination with a novel targeted mass spectrometry method to measure cell numbers enabled the construction of a stoichiometric surface density model using protein structures available from the protein data bank. The model outlines the topology and density of the host-pathogen protein interaction network on the S. pyogenes bacterial surface, revealing a dense and highly organized protein interaction network. Removal of the M-protein from S. pyogenes introduces a drastic change in the network topology, validated by electron microscopy. We propose that the stoichiometric surface density model of S. pyogenes in human blood plasma represents a scalable framework that can continuously be refined with the emergence of new results. Future integration of new results will improve the understanding of protein-protein interactions and their importance for bacterial virulence. Furthermore, we anticipate that the general properties of the developed workflow will facilitate the production of stoichiometric surface density models for other types of host-pathogen interactions. PMID:28183813
NASA Astrophysics Data System (ADS)
Aoi, S.; Yamamoto, N.; Suzuki, W.; Hirata, K.; Nakamura, H.; Kunugi, T.; Kubo, T.; Maeda, T.
2015-12-01
In the 2011 Tohoku earthquake, in which huge tsunami claimed a great deal of lives, the initial tsunami forecast based on hypocenter information estimated using seismic data on land were greatly underestimated. From this lesson, NIED is now constructing S-net (Seafloor Observation Network for Earthquakes and Tsunamis along the Japan Trench) which consists of 150 ocean bottom observatories with seismometers and pressure gauges (tsunamimeters) linked by fiber optic cables. To take full advantage of S-net, we develop a new methodology of real-time tsunami inundation forecast using ocean bottom observation data and construct a prototype system that implements the developed forecasting method for the Pacific coast of Chiba prefecture (Sotobo area). We employ a database-based approach because inundation is a strongly non-linear phenomenon and its calculation costs are rather heavy. We prepare tsunami scenario bank in advance, by constructing the possible tsunami sources, and calculating the tsunami waveforms at S-net stations, coastal tsunami heights and tsunami inundation on land. To calculate the inundation for target Sotobo area, we construct the 10-m-mesh precise elevation model with coastal structures. Based on the sensitivities analyses, we construct the tsunami scenario bank that efficiently covers possible tsunami scenarios affecting the Sotobo area. A real-time forecast is carried out by selecting several possible scenarios which can well explain real-time tsunami data observed at S-net from tsunami scenario bank. An advantage of our method is that tsunami inundations are estimated directly from the actual tsunami data without any source information, which may have large estimation errors. In addition to the forecast system, we develop Web services, APIs, and smartphone applications and brush them up through social experiments to provide the real-time tsunami observation and forecast information in easy way to understand toward urging people to evacuate.
Derivatives and credit contagion in interconnected networks
NASA Astrophysics Data System (ADS)
Heise, S.; Kühn, R.
2012-04-01
The importance of adequately modeling credit risk has once again been highlighted in the recent financial crisis. Defaults tend to cluster around times of economic stress due to poor macro-economic conditions, but also by directly triggering each other through contagion. Although credit default swaps have radically altered the dynamics of contagion for more than a decade, models quantifying their impact on systemic risk are still missing. Here, we examine contagion through credit default swaps in a stylized economic network of corporates and financial institutions. We analyse such a system using a stochastic setting, which allows us to exploit limit theorems to exactly solve the contagion dynamics for the entire system. Our analysis shows that, by creating additional contagion channels, CDS can actually lead to greater instability of the entire network in times of economic stress. This is particularly pronounced when CDS are used by banks to expand their loan books (arguing that CDS would offload the additional risks from their balance sheets). Thus, even with complete hedging through CDS, a significant loan book expansion can lead to considerably enhanced probabilities for the occurrence of very large losses and very high default rates in the system. Our approach adds a new dimension to research on credit contagion, and could feed into a rational underpinning of an improved regulatory framework for credit derivatives.
Reinharz, Vladimir; Soulé, Antoine; Westhof, Eric; Waldispühl, Jérôme; Denise, Alain
2018-05-04
The wealth of the combinatorics of nucleotide base pairs enables RNA molecules to assemble into sophisticated interaction networks, which are used to create complex 3D substructures. These interaction networks are essential to shape the 3D architecture of the molecule, and also to provide the key elements to carry molecular functions such as protein or ligand binding. They are made of organised sets of long-range tertiary interactions which connect distinct secondary structure elements in 3D structures. Here, we present a de novo data-driven approach to extract automatically from large data sets of full RNA 3D structures the recurrent interaction networks (RINs). Our methodology enables us for the first time to detect the interaction networks connecting distinct components of the RNA structure, highlighting their diversity and conservation through non-related functional RNAs. We use a graphical model to perform pairwise comparisons of all RNA structures available and to extract RINs and modules. Our analysis yields a complete catalog of RNA 3D structures available in the Protein Data Bank and reveals the intricate hierarchical organization of the RNA interaction networks and modules. We assembled our results in an online database (http://carnaval.lri.fr) which will be regularly updated. Within the site, a tool allows users with a novel RNA structure to detect automatically whether the novel structure contains previously observed RINs.
Kawano, Shin; Watanabe, Tsutomu; Mizuguchi, Sohei; Araki, Norie; Katayama, Toshiaki; Yamaguchi, Atsuko
2014-07-01
TogoTable (http://togotable.dbcls.jp/) is a web tool that adds user-specified annotations to a table that a user uploads. Annotations are drawn from several biological databases that use the Resource Description Framework (RDF) data model. TogoTable uses database identifiers (IDs) in the table as a query key for searching. RDF data, which form a network called Linked Open Data (LOD), can be searched from SPARQL endpoints using a SPARQL query language. Because TogoTable uses RDF, it can integrate annotations from not only the reference database to which the IDs originally belong, but also externally linked databases via the LOD network. For example, annotations in the Protein Data Bank can be retrieved using GeneID through links provided by the UniProt RDF. Because RDF has been standardized by the World Wide Web Consortium, any database with annotations based on the RDF data model can be easily incorporated into this tool. We believe that TogoTable is a valuable Web tool, particularly for experimental biologists who need to process huge amounts of data such as high-throughput experimental output. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.
The spatial Probit model-An application to the study of banking crises at the end of the 1990’s
NASA Astrophysics Data System (ADS)
Amaral, Andrea; Abreu, Margarida; Mendes, Victor
2014-12-01
We use a spatial Probit model to study the effect of contagion between banking systems of different countries. Applied to the late 1990s banking crisis in Asia we show that the phenomena of contagion is better seized using a spatial than a traditional Probit model. Unlike the latter, the spatial Probit model allows one to consider the cascade of cross and feedback effects of contagion that result from the outbreak of one initial crisis in one country or system. These contagion effects may result either from business connections between institutions of different countries or from institutional similarities between banking systems.
Guidelines for establishing a donor human milk depot.
Geraghty, Sheela R; List, Betsy A; Morrow, Georgia B
2010-02-01
Human milk is the preferred choice for infant feeding. When a sick or premature infant's own mother's milk is unavailable, donor human milk is becoming more widely used. Many potential milk donors do not live within close proximity to the 10 North American not-for-profit milk banks. Transporting milk via commercial carriers can be inconvenient and costly for recipient banks. A network of donor human milk depots is one practical way to increase the quantity of available donor human milk. This article provides guidelines and practical suggestions for establishing a donor human milk depot.
Code of Federal Regulations, 2011 CFR
2011-07-01
... (Continued) FINANCIAL CRIMES ENFORCEMENT NETWORK, DEPARTMENT OF THE TREASURY RULES FOR MUTUAL FUNDS Special Standards of Diligence; Prohibitions; and Special Measures for Mutual Funds § 1024.630 Prohibition on...
Multi-linear model set design based on the nonlinearity measure and H-gap metric.
Shaghaghi, Davood; Fatehi, Alireza; Khaki-Sedigh, Ali
2017-05-01
This paper proposes a model bank selection method for a large class of nonlinear systems with wide operating ranges. In particular, nonlinearity measure and H-gap metric are used to provide an effective algorithm to design a model bank for the system. Then, the proposed model bank is accompanied with model predictive controllers to design a high performance advanced process controller. The advantage of this method is the reduction of excessive switch between models and also decrement of the computational complexity in the controller bank that can lead to performance improvement of the control system. The effectiveness of the method is verified by simulations as well as experimental studies on a pH neutralization laboratory apparatus which confirms the efficiency of the proposed algorithm. Copyright © 2017 ISA. Published by Elsevier Ltd. All rights reserved.
The ethics of donor human milk banking.
Arnold, Lois D W
2006-01-01
This case study of donor human milk banking and the ethics that govern interested parties is the first time the ethics of donor milk banking has been explored. Two different models of ethics and their direct impact on donor milk banking are examined: biomedical ethics and public health ethics. How these models and principles affect different aspects of donor human milk banking and the parties involved in the delivery of this service are elucidated. Interactions of parties with each other and how the quality and type of interaction affects the ethical delivery of donor milk banking services are described. Crystallization is at the heart of the qualitative methodology used. Writing as a method of inquiry, an integrative research review, and personal experience are the three methods involved in the crystallization process. Suggestions are made for improving access and knowledge of banked donor human milk, a valuable public health resource.
Fisher-Wright model with deterministic seed bank and selection.
Koopmann, Bendix; Müller, Johannes; Tellier, Aurélien; Živković, Daniel
2017-04-01
Seed banks are common characteristics to many plant species, which allow storage of genetic diversity in the soil as dormant seeds for various periods of time. We investigate an above-ground population following a Fisher-Wright model with selection coupled with a deterministic seed bank assuming the length of the seed bank is kept constant and the number of seeds is large. To assess the combined impact of seed banks and selection on genetic diversity, we derive a general diffusion model. The applied techniques outline a path of approximating a stochastic delay differential equation by an appropriately rescaled stochastic differential equation. We compute the equilibrium solution of the site-frequency spectrum and derive the times to fixation of an allele with and without selection. Finally, it is demonstrated that seed banks enhance the effect of selection onto the site-frequency spectrum while slowing down the time until the mutation-selection equilibrium is reached. Copyright © 2016 Elsevier Inc. All rights reserved.
Speculative and Hedging Interaction Model in Oil and U.S. Dollar Markets—Phase Transition
NASA Astrophysics Data System (ADS)
Campbell, Michael; Carfì, David
2018-01-01
We show that there is a phase transition in the bounded rational Carfì-Musolino model, and the possibility of a market crash. This model has two types of operators: a real economic subject (Air) and one or more investment banks (Bank). It also has two markets: oil spot market and US dollar futures. Bank agents react to Air and equilibrate much more quickly than Air. Thus Air is an acting external agent due to its longer-term investing, whereas the action of the banks equilibrates before Air makes its next transaction. This model constitutes a potential game, and agents crowd their preferences into one of the markets at a critical temperature when air makes no purchases of oil futures.
Home Data Banks Turn British On
ERIC Educational Resources Information Center
Science News, 1978
1978-01-01
Describes the operation and numerous capabilities of a British computerized data retrieval system named Prestel. It provides access, through the regular telephone network and a TV screen, to computer-based information supplied by many companies, agencies and commercial outlets. (GA)
ERIC Educational Resources Information Center
Rudner, Lawrence
This digest discusses the advantages and disadvantages of using item banks, and it provides useful information for those who are considering implementing an item banking project in their school districts. The primary advantage of item banking is in test development. Using an item response theory method, such as the Rasch model, items from multiple…
NASA Astrophysics Data System (ADS)
Jamieson, E. C.; Rennie, C. D.; Townsend, R. D.
2009-05-01
Stream barbs (a type of submerged groyne or spur dike) are low-profile linear rock structures that prevent the erosion of stream banks by redirecting high velocity flow away from the bank. Stream barbs are becoming a popular method for stream bank protection as they can be built at a relatively low cost and provide added ecological benefit. The design and construction of stream barbs in Sawmill Creek, a small urban stream in the city of Ottawa, Canada, will serve as a demonstration project for the use of barbs as a bank stabilization technique that will contribute to the rehabilitation of urban creeks while reducing erosion threats to property and infrastructure. As well as providing bank protection, these structures promote vegetated stream banks, create resting pools and scour holes for fish habitat, and increase bio-diversity for aquatic species. Despite these benefits, stream barbs are not a common means of stream bank protection in Canada, due largely to a lack of suitable design guidelines. The overall goal of stream habitat restoration in incising channel systems should be to accelerate natural processes of channel equilibrium recovery, riparian re-vegetation, and stream-floodplain interaction. Incorporating stream barbs, instead of traditional bank protection measures, attempts to achieve these goals. A three-dimensional numerical model: 'Simulation in Intakes with Multiblock option' (SSIIM), was used to model the effects of placing a series of stream barbs along an unstable section of Sawmill Creek. The average bankfull depth, width, and discharge of the creek are 1.2 m, 7.5 m, and 9 m3/s respectively. The model was used to assess various design alternatives for a series of seven stream barbs at two consecutive channel bends requiring stabilization measures along their outer banks. Design criteria were principally based on the reduction of velocity, shear stress and subsequent erosion at the outside bank of each bend, and on the relocation of a new thalweg towards the centre of the channel, away from the outside bank. Sawmill Creek has the added complexity of having predominately clay bed and banks. The erosional behaviour of cohesive sediments such as clay is difficult to model correctly, due to the complex site-specific physio- chemical properties of clay particles. Following the construction of the proposed barbs at our field test site this summer (2009), and data collection the following spring and summer, we hope to advance the current knowledge of cohesive sediment transport processes in a complicated three-dimensional turbulent flow field. For the present modelling effort, erodibility of the consolidated clay bed and bank material was estimated based on establishing an entrainment threshold at near-bankfull conditions. The focus of this research is on (i) the unique site conditions and environmental protection requirements, (ii) design methodology, and (iii) results of the numerical simulation. The three-dimensional numerical model was capable of reproducing the expected distribution of secondary flow in a channel bend, the unique three- dimensional flow field resulting from a series of submerged structures and the associated patterns of soil erosion and deposition. The numerical modelling also demonstrated to be a useful tool for optimizing barb design for stream bank protection at the proposed field test site. Modelling results confirmed that in the vicinity of the barbs, the addition of the proposed barb layout achieved substantial reduction in erosion (up to 98 %), bed shear stress (up to 59 %) and streamwise velocity (up to 51 %).
The string prediction models as invariants of time series in the forex market
NASA Astrophysics Data System (ADS)
Pincak, R.
2013-12-01
In this paper we apply a new approach of string theory to the real financial market. The models are constructed with an idea of prediction models based on the string invariants (PMBSI). The performance of PMBSI is compared to support vector machines (SVM) and artificial neural networks (ANN) on an artificial and a financial time series. A brief overview of the results and analysis is given. The first model is based on the correlation function as invariant and the second one is an application based on the deviations from the closed string/pattern form (PMBCS). We found the difference between these two approaches. The first model cannot predict the behavior of the forex market with good efficiency in comparison with the second one which is, in addition, able to make relevant profit per year. The presented string models could be useful for portfolio creation and financial risk management in the banking sector as well as for a nonlinear statistical approach to data optimization.
Rubinstein, Yaffa R; Posada de la Paz, Manuel; Mora, Marina
2017-01-01
Well-annotated and properly preserved specimens are crucial both for diagnostic purposes and for use in basic and pre-clinical research, and are especially important for rare disease (RD) studies. Several consortia have been established in the recent years in order to facilitate research and to maximise access to rare biological samples and data stored in rare disease biobanks and registries, among them the EuroBioBank network and the Spain National Rare Disease Registry (RDR) and Biobank (BioNER).EuroBioBank, established in 2001, was the first network of RD biobanks to operate in Europe as a service distributing human DNA, cells, and tissue to the scientific community conducting research on rare diseases.The Spanish RDR and BioNER were created for facilitating rare disease research and health-related matters. The coordination of these two bodies represents an example of great scientific value as biological samples donated by patients at BioNER are linked to clinical information collected in the RDR.Rare disease biobanks and registries will need for the future to increase their effort to improve interconnection so to enable investigators to better locate samples and associated data, while protecting security of the data and privacy of the participants and adhering to international ethical and legal requirements.
Cumming, Melissa; Osinski, Anthony; O'Hearn, Lynne; Waksmonski, Pamela; Herman, Michele; Gordon, Deborah; Griffiths, Elzbieta; Knox, Kim; McHale, Eileen; Quillen, Karen; Rios, Jorge; Pisciotto, Patricia; Uhl, Lynne; DeMaria, Alfred; Andrzejewski, Chester
2017-02-01
A collaboration that grew over time between local hemovigilance stakeholders and the Massachusetts Department of Public Health (MDPH) resulted in the change from a paper-based method of reporting adverse reactions and monthly transfusion activity for regulatory compliance purposes to statewide adoption of electronic reporting via the National Healthcare Safety Network (NHSN). The NHSN is a web-based surveillance system that offers the capacity to capture transfusion-related adverse events, incidents, and monthly transfusion statistics from participating facilities. Massachusetts' hospital blood banks share the data they enter into NHSN with the MDPH to satisfy reporting requirements. Users of the NHSN Hemovigilance Module adhere to specified data entry guidelines, resulting in data that are comparable and standardized. Keys to successful statewide adoption of this reporting method include the fostering of strong partnerships with local hemovigilance champions and experts, engagement of regulatory and epidemiology divisions at the state health department, the leveraging of existing relationships with hospital NHSN administrators, and the existence of a regulatory deadline for implementation. Although limitations exist, successful implementation of statewide use of the NHSN Hemovigilance Module for hospital blood bank reporting is possible. The result is standardized, actionable data at both the hospital and state level that can facilitate interfacility comparisons, benchmarking, and opportunities for practice improvement. © 2016 AABB.
In situ determination of the static inductance and resistance of a plasma focus capacitor bank.
Saw, S H; Lee, S; Roy, F; Chong, P L; Vengadeswaran, V; Sidik, A S M; Leong, Y W; Singh, A
2010-05-01
The static (unloaded) electrical parameters of a capacitor bank are of utmost importance for the purpose of modeling the system as a whole when the capacitor bank is discharged into its dynamic electromagnetic load. Using a physical short circuit across the electromagnetic load is usually technically difficult and is unnecessary. The discharge can be operated at the highest pressure permissible in order to minimize current sheet motion, thus simulating zero dynamic load, to enable bank parameters, static inductance L(0), and resistance r(0) to be obtained using lightly damped sinusoid equations given the bank capacitance C(0). However, for a plasma focus, even at the highest permissible pressure it is found that there is significant residual motion, so that the assumption of a zero dynamic load introduces unacceptable errors into the determination of the circuit parameters. To overcome this problem, the Lee model code is used to fit the computed current trace to the measured current waveform. Hence the dynamics is incorporated into the solution and the capacitor bank parameters are computed using the Lee model code, and more accurate static bank parameters are obtained.
In situ determination of the static inductance and resistance of a plasma focus capacitor bank
DOE Office of Scientific and Technical Information (OSTI.GOV)
Saw, S. H.; Institute for Plasma Focus Studies, 32 Oakpark Drive, Chadstone, Victoria 3148; Lee, S.
2010-05-15
The static (unloaded) electrical parameters of a capacitor bank are of utmost importance for the purpose of modeling the system as a whole when the capacitor bank is discharged into its dynamic electromagnetic load. Using a physical short circuit across the electromagnetic load is usually technically difficult and is unnecessary. The discharge can be operated at the highest pressure permissible in order to minimize current sheet motion, thus simulating zero dynamic load, to enable bank parameters, static inductance L{sub 0}, and resistance r{sub 0} to be obtained using lightly damped sinusoid equations given the bank capacitance C{sub 0}. However, formore » a plasma focus, even at the highest permissible pressure it is found that there is significant residual motion, so that the assumption of a zero dynamic load introduces unacceptable errors into the determination of the circuit parameters. To overcome this problem, the Lee model code is used to fit the computed current trace to the measured current waveform. Hence the dynamics is incorporated into the solution and the capacitor bank parameters are computed using the Lee model code, and more accurate static bank parameters are obtained.« less
Smartphone imagery to analyze animal-induced erosion in riverbanks
NASA Astrophysics Data System (ADS)
Sofia, Giulia; Masin, Roberta; Tarolli, Paolo
2016-04-01
Among the most invasive species, the Coypu (Myocastor coypus) best exemplifies the widespread damage caused by alien species to ecosystems, with effects on crops, riverine systems, and hydraulic structures. The extent of the latter impact is still rarely quantified, despite the increasing economic and social importance. In northern Italy, Coypu damages to the drainage network have multiple aspects. One main issue is related to the weakening of earthen structures: burrows significantly reduce the integrity of the banks, and potentially contribute to the bank failure. A second concern is related to the agricultural activities nearby the channels. When burrows are present, soil may collapse when subjected to the weight of heavy objects on the surface (such as vehicles and farm machinery). A third issue is connected on the impact of burrowing activities on riparian buffer zones. Coypu burrows create specific flowing paths for the water, delivering water and sediment from the fields directly to the drainage system, thus possibly reducing the efficiency of these zones, and improving the risk of surface water contamination. The purpose of this research is to provide a new perspective, from a geoscience point of view, on Coypu damages to riverbanks, showing the effectiveness of a low-cost approach to model surface burrowing damages and to quantify the related erosion. The work is based on the Structure-from-Motion (SfM) photogrammetric method. To quantify the damages, high-resolution 3D models of the riverbanks were reconstructed from imagery acquired with a smartphone (Prosdocimi et al. 2015). From these models, it was possible to determine the volume of the animal-induced erosion. Proven its effectiveness, the proposed method could allow the creation of a database of damages. Researchers could test the flexibility of the approach to determine the distribution of erosion along the whole drainage system as an index of damage region wide, and to determine the severity of damage as classified according to Coypu relative abundance ratings when available. This would offer the basis to compare biomes, identifying those suffering the most. The quantification of eroded sediment would also provide a scientific basis to improve the analysis of the impacts of burrowing animals on riparian habitats and native species as well as on the efficiency of buffer zones. Prosdocimi, M., Sofia, G., Dalla Fontana, G., Tarolli, P. (2015). Bank erosion in agricultural drainage networks: effectiveness of Structure-from-Motion photogrammetry for post-event analysis, Earth Surface Processes and Landforms, 40: 1891-1906. doi: 10.1002/esp.3767.
Optimization of business processes in banks through flexible workflow
NASA Astrophysics Data System (ADS)
Postolache, V.
2017-08-01
This article describes an integrated business model of a commercial bank. There are examples of components that go into its composition: wooden models and business processes, strategic goals, organizational structure, system architecture, operational and marketing risk models, etc. The practice has shown that the development and implementation of the integrated business model of the bank significantly increase operating efficiency and its management, ensures organizational and technology stable development. Considering the evolution of business processes in the banking sector, should be analysed their common characteristics. From the author’s point of view, a business process is a set of various activities of a commercial bank in which “Input” is one or more financial and material resources, as a result of this activity and “output” is created by banking product, which is some value to consumer. Using workflow technology, management business process efficiency issue is a matter of managing the integration of resources and sequence of actions aimed at achieving this goal. In turn, it implies management of jobs or functions’ interaction, synchronizing of the assignments periods, reducing delays in the transmission of the results etc. Workflow technology is very important for managers at all levels, as they can use it to easily strengthen the control over what is happening in a particular unit, and in the bank as a whole. The manager is able to plan, to implement rules, to interact within the framework of the company’s procedures and tasks entrusted to the system of the distribution function and execution control, alert on the implementation and issuance of the statistical data on the effectiveness of operating procedures. Development and active use of the integrated bank business model is one of the key success factors that contribute to long-term and stable development of the bank, increase employee efficiency and business processes, implement the strategic objectives.
Complex network theory for the identification and assessment of candidate protein targets.
McGarry, Ken; McDonald, Sharon
2018-06-01
In this work we use complex network theory to provide a statistical model of the connectivity patterns of human proteins and their interaction partners. Our intention is to identify important proteins that may be predisposed to be potential candidates as drug targets for therapeutic interventions. Target proteins usually have more interaction partners than non-target proteins, but there are no hard-and-fast rules for defining the actual number of interactions. We devise a statistical measure for identifying hub proteins, we score our target proteins with gene ontology annotations. The important druggable protein targets are likely to have similar biological functions that can be assessed for their potential therapeutic value. Our system provides a statistical analysis of the local and distant neighborhood protein interactions of the potential targets using complex network measures. This approach builds a more accurate model of drug-to-target activity and therefore the likely impact on treating diseases. We integrate high quality protein interaction data from the HINT database and disease associated proteins from the DrugTarget database. Other sources include biological knowledge from Gene Ontology and drug information from DrugBank. The problem is a very challenging one since the data is highly imbalanced between target proteins and the more numerous nontargets. We use undersampling on the training data and build Random Forest classifier models which are used to identify previously unclassified target proteins. We validate and corroborate these findings from the available literature. Copyright © 2018 Elsevier Ltd. All rights reserved.
Systemic risk on different interbank network topologies
NASA Astrophysics Data System (ADS)
Lenzu, Simone; Tedeschi, Gabriele
2012-09-01
In this paper we develop an interbank market with heterogeneous financial institutions that enter into lending agreements on different network structures. Credit relationships (links) evolve endogenously via a fitness mechanism based on agents' performance. By changing the agent's trust on its neighbor's performance, interbank linkages self-organize themselves into very different network architectures, ranging from random to scale-free topologies. We study which network architecture can make the financial system more resilient to random attacks and how systemic risk spreads over the network. To perturb the system, we generate a random attack via a liquidity shock. The hit bank is not automatically eliminated, but its failure is endogenously driven by its incapacity to raise liquidity in the interbank network. Our analysis shows that a random financial network can be more resilient than a scale free one in case of agents' heterogeneity.
75 FR 70970 - Submission for OMB Review; Comment Request
Federal Register 2010, 2011, 2012, 2013, 2014
2010-11-19
.... Title: Financial Crimes Enforcement Network; Anti-Money Laundering Programs; Special Due Diligence... established, maintained, administered, or managed for certain types of foreign banks. Respondents: Businesses or other for-profits. Estimated Total Burden Hours: 56,326 hours. Bureau Clearance Officer: Russell...
12 CFR Appendix C to Part 325 - Risk-Based Capital for State Non-Member Banks: Market Risk
Code of Federal Regulations, 2010 CFR
2010-01-01
... provide information about the impact of adverse market events on a bank's covered positions. Backtests provide information about the accuracy of an internal model by comparing a bank's daily VAR measures to... determines the bank meets such criteria as a consequence of accounting, operational, or similar...
Salt marsh vegetation promotes efficient tidal channel networks
Kearney, William S.; Fagherazzi, Sergio
2016-01-01
Tidal channel networks mediate the exchange of water, nutrients and sediment between an estuary and marshes. Biology feeds back into channel morphodynamics through the influence of vegetation on both flow and the cohesive strength of channel banks. Determining how vegetation affects channel networks is essential in understanding the biological functioning of intertidal ecosystems and their ecosystem services. However, the processes that control the formation of an efficient tidal channel network remain unclear. Here we compare the channel networks of vegetated salt marshes in Massachusetts and the Venice Lagoon to unvegetated systems in the arid environments of the Gulf of California and Yemen. We find that the unvegetated systems are dissected by less efficient channel networks than the vegetated salt marshes. These differences in network geometry reflect differences in the branching and meandering of the channels in the network, characteristics that are related to the density of vegetation on the marsh. PMID:27430165
Which bank? A guardian model for regulation of embryonic stem cell research in Australia.
McLennan, A
2007-08-01
In late 2005 the Legislation Review: Prohibition of Human Cloning Act 2002 (Cth) and the Research Involving Human Embryos Act 2002 (Cth) recommended the establishment of an Australian stem cell bank. This article aims to address a lack of discussion of issues surrounding stem cell banking by suggesting possible answers to the questions of whether Australia should establish a stem cell bank and what its underlying philosophy and functions should be. Answers are developed through an analysis of regulatory, scientific and intellectual property issues relating to embryonic stem cell research in the United Kingdom, United States and Australia. This includes a detailed analysis of the United Kingdom Stem Cell Bank. It is argued that a "guardian" model stem cell bank should be established in Australia. This bank would aim to promote the maximum public benefit from human embryonic stem cell research by providing careful regulatory oversight and addressing ethical issues, while also facilitating research by addressing practical scientific concerns and intellectual property issues.
Managing uncertainty in metabolic network structure and improving predictions using EnsembleFBA
2017-01-01
Genome-scale metabolic network reconstructions (GENREs) are repositories of knowledge about the metabolic processes that occur in an organism. GENREs have been used to discover and interpret metabolic functions, and to engineer novel network structures. A major barrier preventing more widespread use of GENREs, particularly to study non-model organisms, is the extensive time required to produce a high-quality GENRE. Many automated approaches have been developed which reduce this time requirement, but automatically-reconstructed draft GENREs still require curation before useful predictions can be made. We present a novel approach to the analysis of GENREs which improves the predictive capabilities of draft GENREs by representing many alternative network structures, all equally consistent with available data, and generating predictions from this ensemble. This ensemble approach is compatible with many reconstruction methods. We refer to this new approach as Ensemble Flux Balance Analysis (EnsembleFBA). We validate EnsembleFBA by predicting growth and gene essentiality in the model organism Pseudomonas aeruginosa UCBPP-PA14. We demonstrate how EnsembleFBA can be included in a systems biology workflow by predicting essential genes in six Streptococcus species and mapping the essential genes to small molecule ligands from DrugBank. We found that some metabolic subsystems contributed disproportionately to the set of predicted essential reactions in a way that was unique to each Streptococcus species, leading to species-specific outcomes from small molecule interactions. Through our analyses of P. aeruginosa and six Streptococci, we show that ensembles increase the quality of predictions without drastically increasing reconstruction time, thus making GENRE approaches more practical for applications which require predictions for many non-model organisms. All of our functions and accompanying example code are available in an open online repository. PMID:28263984
Managing uncertainty in metabolic network structure and improving predictions using EnsembleFBA.
Biggs, Matthew B; Papin, Jason A
2017-03-01
Genome-scale metabolic network reconstructions (GENREs) are repositories of knowledge about the metabolic processes that occur in an organism. GENREs have been used to discover and interpret metabolic functions, and to engineer novel network structures. A major barrier preventing more widespread use of GENREs, particularly to study non-model organisms, is the extensive time required to produce a high-quality GENRE. Many automated approaches have been developed which reduce this time requirement, but automatically-reconstructed draft GENREs still require curation before useful predictions can be made. We present a novel approach to the analysis of GENREs which improves the predictive capabilities of draft GENREs by representing many alternative network structures, all equally consistent with available data, and generating predictions from this ensemble. This ensemble approach is compatible with many reconstruction methods. We refer to this new approach as Ensemble Flux Balance Analysis (EnsembleFBA). We validate EnsembleFBA by predicting growth and gene essentiality in the model organism Pseudomonas aeruginosa UCBPP-PA14. We demonstrate how EnsembleFBA can be included in a systems biology workflow by predicting essential genes in six Streptococcus species and mapping the essential genes to small molecule ligands from DrugBank. We found that some metabolic subsystems contributed disproportionately to the set of predicted essential reactions in a way that was unique to each Streptococcus species, leading to species-specific outcomes from small molecule interactions. Through our analyses of P. aeruginosa and six Streptococci, we show that ensembles increase the quality of predictions without drastically increasing reconstruction time, thus making GENRE approaches more practical for applications which require predictions for many non-model organisms. All of our functions and accompanying example code are available in an open online repository.
Don C. Bragg; Jeffrey L. Kershner
2004-01-01
Riparian large woody debris (LWD) recruitment simulations have traditionally applied a random angle of tree fall from two well-forested stream banks. We used a riparian LWD recruitment model (CWD, version 1.4) to test the validity these assumptions. Both the number of contributing forest banks and predominant tree fall direction significantly influenced simulated...
Brian hears: online auditory processing using vectorization over channels.
Fontaine, Bertrand; Goodman, Dan F M; Benichoux, Victor; Brette, Romain
2011-01-01
The human cochlea includes about 3000 inner hair cells which filter sounds at frequencies between 20 Hz and 20 kHz. This massively parallel frequency analysis is reflected in models of auditory processing, which are often based on banks of filters. However, existing implementations do not exploit this parallelism. Here we propose algorithms to simulate these models by vectorizing computation over frequency channels, which are implemented in "Brian Hears," a library for the spiking neural network simulator package "Brian." This approach allows us to use high-level programming languages such as Python, because with vectorized operations, the computational cost of interpretation represents a small fraction of the total cost. This makes it possible to define and simulate complex models in a simple way, while all previous implementations were model-specific. In addition, we show that these algorithms can be naturally parallelized using graphics processing units, yielding substantial speed improvements. We demonstrate these algorithms with several state-of-the-art cochlear models, and show that they compare favorably with existing, less flexible, implementations.
12 CFR 332.2 - Model privacy form and examples.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 5 2012-01-01 2012-01-01 false Model privacy form and examples. 332.2 Section... POLICY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 332.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in appendix A of this part, consistent with the instructions...
12 CFR 216.2 - Model privacy form and examples.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 2 2014-01-01 2014-01-01 false Model privacy form and examples. 216.2 Section... PRIVACY OF CONSUMER FINANCIAL INFORMATION (REGULATION P) § 216.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in appendix A of this part, consistent with the...
12 CFR 332.2 - Model privacy form and examples.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 5 2014-01-01 2014-01-01 false Model privacy form and examples. 332.2 Section... POLICY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 332.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in appendix A of this part, consistent with the instructions...
12 CFR 216.2 - Model privacy form and examples.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 2 2012-01-01 2012-01-01 false Model privacy form and examples. 216.2 Section... PRIVACY OF CONSUMER FINANCIAL INFORMATION (REGULATION P) § 216.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in appendix A of this part, consistent with the...
12 CFR 216.2 - Model privacy form and examples.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 2 2013-01-01 2013-01-01 false Model privacy form and examples. 216.2 Section... PRIVACY OF CONSUMER FINANCIAL INFORMATION (REGULATION P) § 216.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in appendix A of this part, consistent with the...
12 CFR 332.2 - Model privacy form and examples.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 12 Banks and Banking 4 2011-01-01 2011-01-01 false Model privacy form and examples. 332.2 Section... POLICY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 332.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in Appendix A of this part, consistent with the instructions...
12 CFR 332.2 - Model privacy form and examples.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 5 2013-01-01 2013-01-01 false Model privacy form and examples. 332.2 Section... POLICY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 332.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in appendix A of this part, consistent with the instructions...
12 CFR 216.2 - Model privacy form and examples.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 12 Banks and Banking 2 2011-01-01 2011-01-01 false Model privacy form and examples. 216.2 Section... PRIVACY OF CONSUMER FINANCIAL INFORMATION (REGULATION P) § 216.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in appendix A of this part, consistent with the...
12 CFR 216.2 - Model privacy form and examples.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 2 2010-01-01 2010-01-01 false Model privacy form and examples. 216.2 Section... PRIVACY OF CONSUMER FINANCIAL INFORMATION (REGULATION P) § 216.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in appendix A of this part, consistent with the...
12 CFR 332.2 - Model privacy form and examples.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 4 2010-01-01 2010-01-01 false Model privacy form and examples. 332.2 Section... POLICY PRIVACY OF CONSUMER FINANCIAL INFORMATION § 332.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in Appendix A of this part, consistent with the instructions...
Darby, Stephen E; Leyland, Julian; Kummu, Matti; Räsänen, Timo A; Lauri, Hannu
2013-04-01
We evaluate links between climate and simulated river bank erosion for one of the world's largest rivers, the Mekong. We employ a process-based model to reconstruct multidecadal time series of bank erosion at study sites within the Mekong's two main hydrological response zones, defining a new parameter, accumulated excess runoff (AER), pertinent to bank erosion. We employ a hydrological model to isolate how snowmelt, tropical storms and monsoon precipitation each contribute to AER and thus modeled bank erosion. Our results show that melt (23.9% at the upstream study site, declining to 11.1% downstream) and tropical cyclones (17.5% and 26.4% at the upstream and downstream sites, respectively) both force significant fractions of bank erosion on the Mekong. We also show (i) small, but significant, declines in AER and hence assumed bank erosion during the 20th century, and; (ii) that significant correlations exist between AER and the Indian Ocean Dipole (IOD) and El Niño Southern Oscillation (ENSO). Of these modes of climate variability, we find that IOD events exert a greater control on simulated bank erosion than ENSO events; but the influences of both ENSO and IOD when averaged over several decades are found to be relatively weak. However, importantly, relationships between ENSO, IOD, and AER and hence inferred river bank erosion are not time invariant. Specifically, we show that there is an intense and prolonged epoch of strong coherence between ENSO and AER from the early 1980s to present, such that in recent decades derived Mekong River bank erosion has been more strongly affected by ENSO.
Darby, Stephen E; Leyland, Julian; Kummu, Matti; Räsänen, Timo A; Lauri, Hannu
2013-01-01
We evaluate links between climate and simulated river bank erosion for one of the world's largest rivers, the Mekong. We employ a process-based model to reconstruct multidecadal time series of bank erosion at study sites within the Mekong's two main hydrological response zones, defining a new parameter, accumulated excess runoff (AER), pertinent to bank erosion. We employ a hydrological model to isolate how snowmelt, tropical storms and monsoon precipitation each contribute to AER and thus modeled bank erosion. Our results show that melt (23.9% at the upstream study site, declining to 11.1% downstream) and tropical cyclones (17.5% and 26.4% at the upstream and downstream sites, respectively) both force significant fractions of bank erosion on the Mekong. We also show (i) small, but significant, declines in AER and hence assumed bank erosion during the 20th century, and; (ii) that significant correlations exist between AER and the Indian Ocean Dipole (IOD) and El Niño Southern Oscillation (ENSO). Of these modes of climate variability, we find that IOD events exert a greater control on simulated bank erosion than ENSO events; but the influences of both ENSO and IOD when averaged over several decades are found to be relatively weak. However, importantly, relationships between ENSO, IOD, and AER and hence inferred river bank erosion are not time invariant. Specifically, we show that there is an intense and prolonged epoch of strong coherence between ENSO and AER from the early 1980s to present, such that in recent decades derived Mekong River bank erosion has been more strongly affected by ENSO. PMID:23926362
A study for bank effect on ship traffic in narrow water channels using cellular automata
NASA Astrophysics Data System (ADS)
Sun, Zhuo; Cong, Shuang; Pan, Junnan; Zheng, Jianfeng
2017-12-01
In narrow water channels, bank might affect nearby ships due to hydrodynamic forces (bank effect). To avoid accidents, different sailing rules (i.e., lane-changing, speed control) are required. In this paper, a two-lane cellular automata model is proposed to evaluate such phenomena. Numerical experiments show that ships will form a “slow-moving chunk” in the bank area, which will significantly block the flux. As further study demonstrated to alleviate bank effect, ship speed and bank length should be controlled.
Code of Federal Regulations, 2012 CFR
2012-01-01
.... A bank subject to this appendix must have a risk management system that meets the following minimum... management and is independent from business trading units. (2) The bank's internal risk measurement model must be integrated into the daily management process. (3) The bank's policies and procedures must...
Code of Federal Regulations, 2010 CFR
2010-01-01
...) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM BANK HOLDING COMPANIES AND CHANGE IN BANK CONTROL... Stress tests provide information about the impact of adverse market events on a bank's covered positions. Backtests provide information about the accuracy of an internal model by comparing an organization's daily...
Code of Federal Regulations, 2014 CFR
2014-01-01
... Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED... rely on lists published by the Board to determine whether an issuer, together with its affiliates, has... calendar month from an ATM that is part of the issuer's designated ATM network. ...
Code of Federal Regulations, 2013 CFR
2013-01-01
... Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED... rely on lists published by the Board to determine whether an issuer, together with its affiliates, has... calendar month from an ATM that is part of the issuer's designated ATM network. ...
Code of Federal Regulations, 2012 CFR
2012-01-01
... Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED... rely on lists published by the Board to determine whether an issuer, together with its affiliates, has... calendar month from an ATM that is part of the issuer's designated ATM network. ...
7 CFR 251.4 - Availability of commodities.
Code of Federal Regulations, 2010 CFR
2010-01-01
... existing food bank networks and other organizations whose ongoing primary function is to facilitate the... Agriculture Regulations of the Department of Agriculture (Continued) FOOD AND NUTRITION SERVICE, DEPARTMENT OF AGRICULTURE GENERAL REGULATIONS AND POLICIES-FOOD DISTRIBUTION THE EMERGENCY FOOD ASSISTANCE PROGRAM § 251.4...
USSR Report, International Affairs. Peoples of Asia and Africa, Number 4, July-August 1985.
1986-01-22
Africa, America Latina e Medio Oriente—IPALMO) was set up in 1971 on the initiative of the main Italian political parties—the communists, socialists...especially severe economic crisis has affected Latin America , the most developed region at the periphery but with an extensively ramified network of foreign...arises to expand the sphere of their influence. And since the East is weaker than Latin America and involved in the international banking network and
Extended charge banking model of dual path shocks for implantable cardioverter defibrillators
Dosdall, Derek J; Sweeney, James D
2008-01-01
Background Single path defibrillation shock methods have been improved through the use of the Charge Banking Model of defibrillation, which predicts the response of the heart to shocks as a simple resistor-capacitor (RC) circuit. While dual path defibrillation configurations have significantly reduced defibrillation thresholds, improvements to dual path defibrillation techniques have been limited to experimental observations without a practical model to aid in improving dual path defibrillation techniques. Methods The Charge Banking Model has been extended into a new Extended Charge Banking Model of defibrillation that represents small sections of the heart as separate RC circuits, uses a weighting factor based on published defibrillation shock field gradient measures, and implements a critical mass criteria to predict the relative efficacy of single and dual path defibrillation shocks. Results The new model reproduced the results from several published experimental protocols that demonstrated the relative efficacy of dual path defibrillation shocks. The model predicts that time between phases or pulses of dual path defibrillation shock configurations should be minimized to maximize shock efficacy. Discussion Through this approach the Extended Charge Banking Model predictions may be used to improve dual path and multi-pulse defibrillation techniques, which have been shown experimentally to lower defibrillation thresholds substantially. The new model may be a useful tool to help in further improving dual path and multiple pulse defibrillation techniques by predicting optimal pulse durations and shock timing parameters. PMID:18673561
Zhang, Zheng; Dai, Weimin; Song, Xiaoling; Qiang, Sheng
2014-05-01
A heavy infestation of weedy rice leading to no harvested rice has never been predicted in China due to a lack of knowledge about the weedy rice seed bank. We studied the seed-bank dynamics of weedy rice for three consecutive years and analyzed the relationship between seed-bank density and population density in order to predict future weedy rice infestations of direct-seeded rice at six sites along the Yangtze River in Jiangsu Province, China. The seed-bank density of weedy rice in all six sites displayed an increasing trend with seasonal fluctuations. Weedy rice seeds found in the 0-10 cm soil layer contributed most to seedling emergence. An exponential curve expressed the relationship between cultivated rice yield loss and adult weedy rice density. Based on data collected during the weedy rice life-cycle, a semi-empirical mathematic model was developed that fits well with the experimental data in a way that could be used to predict seed-bank dynamics. By integrating the semi-empirical model and the exponential curve, weedy rice infestation levels and crop losses can be predicted based on the seed-bank dynamics so that a practical control can be adopted before rice planting. © 2013 Society of Chemical Industry.
ERIC Educational Resources Information Center
van der Linden, Wim J.; Eggen, Theo J. H. M.
A procedure for the sequential optimization of the calibration of an item bank is given. The procedure is based on an empirical Bayes approach to a reformulation of the Rasch model as a model for paired comparisons between the difficulties of test items in which ties are allowed to occur. First, it is indicated how a paired-comparisons design…
The Atlantis Bank gabbro-suite was not a "normal" magma-chamber that produced basalts
NASA Astrophysics Data System (ADS)
Kvassnes, A. J.; Dick, H. J. B.; Grove, T. L.
2003-04-01
The differentiation of the basalts sampled at Atlantis II Fracture Zone, South-West Indian Ridge, is not the result of simple fractionation of gabbroic mineral-assemblages like those recovered from the adjacent Atlantis Bank and ODP Hole 735B. Large mineral data sets for the gabbros (Dick, et al 2002) are now available for analysis and comparison to spatially associated basalts. We have used Melts and pMelts (Ghiorso and Sack, 1995) to estimate the fractional crystallization trend gabbros from a primitive mantle melt or of the AII F.Z. MORB. Thermodynamic models (Grove et al (1992), Putirka (1999)) were also used to model the glasses hypothetical mafic and felsic mineral equilibrium-compositions. Our results show that while the basalts suggest 30-50% crystallization, the gabbros indicate 35-90% crystallization of a primary melt. It is therefore unlikely that the gabbros sampled from Atlantis Bank are the fossil magma-chambers that expelled melts that formed the spatially associated basalts. The models also show that the most primitive gabbros have elevated clinopyroxene Mg#s (Mg/(Mg+Fe)) relative to the coexisting plagioclase An%. This was unexpected, as the clinopyroxene frequently occurs as oikocrysts surrounding the plagioclase and encloses rounded olivine chadacrysts, indicating that the clinopyroxene precipitated late. Elthon (1992) noted the same problem for Cayman Trough gabbros; suggesting that this was the result of intermediate pressure fractionation. In our models, pressure does have some effect up to 5kbar, but is not enough to explain the discrepancy. We propose a model where melts are modified in a porous network or mush. Plagioclase-olivine networks form by accumulation of buoyant glomerocrysts and then work as filters as new melts pass through. Dissolution of the minerals would make the new melt appear to be more primitive with regards to increased Mg#s, as the dissolution happens fast without complete internal re-equilibration with the gabbro matrix. When clinopyroxene precipitates onto the plagioclase network, the oikocrysts appear more primitive than the original melt that produced the chadacrysts. The oikocryst also become reversely zoned, nucleating on the plagioclase network and growing inward. The resulting melt affected this way will have crystallized Mg-rich clinopyroxene. It is possible that this effect commonly occurs during melt transport in the lower crust and solve the well-known pyroxene paradox previously explained by high-pressure crystallization. If a melt containing dissolved minerals pools, it may be erupted and would result in basalts that appear more primitive than they otherwise would be. The gabbro-suite at Atlantis Bank is not, then, a result of simple fractional crystallization or magma mixing but rather represent part of a complex system of repeated intrusions a mush. Furthermore, if the melts that produced the crust were mantle derived, they fractionated 30-40% elsewhere before they reached the crustal levels sampled in this study and 600+ meters of gabbro exist either below the Hole or in the mantle, though the latter is apparently not required. References: Dick, H. J. B., Ozawa, K., Meyer, P. S., Niu, Y., Robinson, P.T., Constantin, M., Hebert, R., Natland, J. H., Hirth, J. G., Mackie, S. M., 2002. Primary Silicate Mineral Chemistry of a 1.5-km Section of Very Slow Spreading Lower Ocean Crust: ODP Hole 735B, South West Indian Ridge. In: Proceeding of the Ocean Drilling Program, Vol. 176, Scientific Results, Return to Hole 735B, pp 1-60. Elthon, D., Stewart, M., Ross, D. K., 1992. Compositional Trends of Minerals in Oceanic Cumulates. Journal of Geophysical Research, Vol 97, B11, p15,189-15,199. Ghiorso M. S., Sack, R. O., 1995. Chemical Mass Transfer in magmatic Processes IV. A revised and internally consistent thermodynamic model for the interpolation and extrapolation of liquid-solid equilibria in magmatic systems at elevated temperatures and pressures. Cont. Min. Petr., 119, p. 197-212. Grove, T. L., Kinzler, R. J., Bryan, W., 1992. Fractionation of Mid-Ocean Ridge Basalt (MORB). In: Mantle Flow and Melt Generation at Mid-Ocean ridges. Geophysical Monograph 71. 281pp. Muller, J. H., Robinson, C. J., Minshall, T.A., White, R. S., Bickle, M. J., 1997. Thin crust beneath ocean drilling program borehole 735B at the South West Indian Ridge? Earth Planet. Sci. Lett., v. 148, p. 93-107 Putirka, K., 1999. Clinopyroxene + liquid equilibria to 100kbar and 2450K. Cont. Min. Petr. 135: 151-163
12 CFR Appendix B to Part 222 - Model Notices of Furnishing Negative Information
Code of Federal Regulations, 2010 CFR
2018-01-01
... your credit report. Model Notice B-2 We have told a credit bureau about a late payment, missed payment... 12 Banks and Banking 3 2018-01-01 2018-01-01 false Model Notices of Furnishing Negative... Appendix B to Part 222—Model Notices of Furnishing Negative Information a. Although use of the model...
12 CFR 716.2 - Model privacy form and examples.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 12 Banks and Banking 6 2011-01-01 2011-01-01 false Model privacy form and examples. 716.2 Section... PRIVACY OF CONSUMER FINANCIAL INFORMATION § 716.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in appendixA of this part, consistent with the instructions in appendixA...
12 CFR 716.2 - Model privacy form and examples.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 7 2013-01-01 2013-01-01 false Model privacy form and examples. 716.2 Section... PRIVACY OF CONSUMER FINANCIAL INFORMATION § 716.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in Appendix A of this part, consistent with the instructions in Appendix...
12 CFR 716.2 - Model privacy form and examples.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 7 2012-01-01 2012-01-01 false Model privacy form and examples. 716.2 Section... PRIVACY OF CONSUMER FINANCIAL INFORMATION § 716.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in Appendix A of this part, consistent with the instructions in Appendix...
12 CFR 716.2 - Model privacy form and examples.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Model privacy form and examples. 716.2 Section... PRIVACY OF CONSUMER FINANCIAL INFORMATION § 716.2 Model privacy form and examples. (a) Model privacy form. Use of the model privacy form in Appendix A of this part, consistent with the instructions in Appendix...
NASA Astrophysics Data System (ADS)
Orellana, Laura; Yoluk, Ozge; Carrillo, Oliver; Orozco, Modesto; Lindahl, Erik
2016-08-01
Protein conformational changes are at the heart of cell functions, from signalling to ion transport. However, the transient nature of the intermediates along transition pathways hampers their experimental detection, making the underlying mechanisms elusive. Here we retrieve dynamic information on the actual transition routes from principal component analysis (PCA) of structurally-rich ensembles and, in combination with coarse-grained simulations, explore the conformational landscapes of five well-studied proteins. Modelling them as elastic networks in a hybrid elastic-network Brownian dynamics simulation (eBDIMS), we generate trajectories connecting stable end-states that spontaneously sample the crystallographic motions, predicting the structures of known intermediates along the paths. We also show that the explored non-linear routes can delimit the lowest energy passages between end-states sampled by atomistic molecular dynamics. The integrative methodology presented here provides a powerful framework to extract and expand dynamic pathway information from the Protein Data Bank, as well as to validate sampling methods in general.
State Assessment Program Item Banks: Model Language for Request for Proposals (RFP) and Contracts
ERIC Educational Resources Information Center
Swanson, Leonard C.
2010-01-01
This document provides recommendations for request for proposal (RFP) and contract language that state education agencies can use to specify their requirements for access to test item banks. An item bank is a repository for test items and data about those items. Item banks are used by state agency staff to view items and associated data; to…
The Experience of Human Milk Banking for 8 Years: Korean Perspective.
Jang, Hye Lim; Cho, Jung Yoon; Kim, Mi Jin; Kim, Eun Jeong; Park, Eun Young; Park, Sung Ae; Kim, In Young; Choi, Yong Sung; Bae, Chong Woo; Chung, Sung Hoon
2016-11-01
Human milk banks are a solution for mothers who cannot supply their own breast milk to their sick or hospitalized infants; premature infants, in particular, are unable to receive a full volume of breast milk for numerous reasons. As of December 2015, there was only one milk bank in a university hospital in Korea. We reviewed the basic characteristics of donors and recipients, and the amounts and contamination of breast milk donated at the Human Milk Bank in Kyung Hee University Hospital at Gangdong in Korea from 2008 to 2015. The donor pool consisted of 463 first-time donors and 452 repeat donors who made 1,724 donations. A total of 10,820 L of breast milk was collected, and 9,541.6 L were processed. Detectable bacteria grew in 12.6% after pasteurization and 52.5% had cytomegalovirus DNA before pasteurization in donated milk. There were 836 infant and 25 adult recipients; among new infant recipients, 48.5% were preterm; the groups received 8,009 and 165.7 L of donor milk, respectively. There was an increase in the percentage of preterm infants among new infant recipients in 2015 (93.1%) compared to 2008 (8.5%). Based on the number of premature infants in Korea, the number of potential recipients is not likely to diminish anytime soon, despite efforts to improve the breastfeeding rate. Sustainability and quality improvement of the milk bank need long-term financial support by health authorities and a nationwide network similar to blood banking will further contribute to the progress of milk banking.
The Experience of Human Milk Banking for 8 Years: Korean Perspective
2016-01-01
Human milk banks are a solution for mothers who cannot supply their own breast milk to their sick or hospitalized infants; premature infants, in particular, are unable to receive a full volume of breast milk for numerous reasons. As of December 2015, there was only one milk bank in a university hospital in Korea. We reviewed the basic characteristics of donors and recipients, and the amounts and contamination of breast milk donated at the Human Milk Bank in Kyung Hee University Hospital at Gangdong in Korea from 2008 to 2015. The donor pool consisted of 463 first-time donors and 452 repeat donors who made 1,724 donations. A total of 10,820 L of breast milk was collected, and 9,541.6 L were processed. Detectable bacteria grew in 12.6% after pasteurization and 52.5% had cytomegalovirus DNA before pasteurization in donated milk. There were 836 infant and 25 adult recipients; among new infant recipients, 48.5% were preterm; the groups received 8,009 and 165.7 L of donor milk, respectively. There was an increase in the percentage of preterm infants among new infant recipients in 2015 (93.1%) compared to 2008 (8.5%). Based on the number of premature infants in Korea, the number of potential recipients is not likely to diminish anytime soon, despite efforts to improve the breastfeeding rate. Sustainability and quality improvement of the milk bank need long-term financial support by health authorities and a nationwide network similar to blood banking will further contribute to the progress of milk banking. PMID:27709856
Spielberg, Jeffrey M; Sadeh, Naomi; Leritz, Elizabeth C; McGlinchey, Regina E; Milberg, William P; Hayes, Jasmeet P; Salat, David H
2017-06-01
Mounting evidence indicates that serum cholesterol and other risk factors for cardiovascular disease intensify normative trajectories of age-related cognitive decline. However, the neural mechanisms by which this occurs remain largely unknown. To understand the impact of cholesterol on brain networks, we applied graph theory to resting-state fMRI in a large sample of early- to mid-life Veterans (N = 206, Mean age = 32). A network emerged (centered on the banks of the superior temporal sulcus) that evidenced age-related decoupling (i.e., decreased network connectivity with age), but only in participants with clinically-elevated total cholesterol (≥180 mg/dL). Crucially, decoupling in this network corresponded to greater day-to-day disability and mediated age-related declines in psychomotor speed. Finally, examination of network organization revealed a pattern of age-related dedifferentiation for the banks of the superior temporal sulcus, again present only with higher cholesterol. More specifically, age was related to decreasing within-module communication (indexed by Within-Module Degree Z-Score) and increasing between-module communication (indexed by Participation Coefficient), but only in participants with clinically-elevated cholesterol. Follow-up analyses indicated that all findings were driven by low-density lipoprotein (LDL) levels, rather than high-density lipoprotein (HDL) or triglycerides, which is interesting as LDL levels have been linked to increased risk for cardiovascular disease, whereas HDL levels appear inversely related to such disease. These findings provide novel insight into the deleterious effects of cholesterol on brain health and suggest that cholesterol accelerates the impact of age on neural trajectories by disrupting connectivity in circuits implicated in integrative processes and behavioral control. Hum Brain Mapp 38:3249-3261, 2017. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.
CycADS: an annotation database system to ease the development and update of BioCyc databases
Vellozo, Augusto F.; Véron, Amélie S.; Baa-Puyoulet, Patrice; Huerta-Cepas, Jaime; Cottret, Ludovic; Febvay, Gérard; Calevro, Federica; Rahbé, Yvan; Douglas, Angela E.; Gabaldón, Toni; Sagot, Marie-France; Charles, Hubert; Colella, Stefano
2011-01-01
In recent years, genomes from an increasing number of organisms have been sequenced, but their annotation remains a time-consuming process. The BioCyc databases offer a framework for the integrated analysis of metabolic networks. The Pathway tool software suite allows the automated construction of a database starting from an annotated genome, but it requires prior integration of all annotations into a specific summary file or into a GenBank file. To allow the easy creation and update of a BioCyc database starting from the multiple genome annotation resources available over time, we have developed an ad hoc data management system that we called Cyc Annotation Database System (CycADS). CycADS is centred on a specific database model and on a set of Java programs to import, filter and export relevant information. Data from GenBank and other annotation sources (including for example: KAAS, PRIAM, Blast2GO and PhylomeDB) are collected into a database to be subsequently filtered and extracted to generate a complete annotation file. This file is then used to build an enriched BioCyc database using the PathoLogic program of Pathway Tools. The CycADS pipeline for annotation management was used to build the AcypiCyc database for the pea aphid (Acyrthosiphon pisum) whose genome was recently sequenced. The AcypiCyc database webpage includes also, for comparative analyses, two other metabolic reconstruction BioCyc databases generated using CycADS: TricaCyc for Tribolium castaneum and DromeCyc for Drosophila melanogaster. Linked to its flexible design, CycADS offers a powerful software tool for the generation and regular updating of enriched BioCyc databases. The CycADS system is particularly suited for metabolic gene annotation and network reconstruction in newly sequenced genomes. Because of the uniform annotation used for metabolic network reconstruction, CycADS is particularly useful for comparative analysis of the metabolism of different organisms. Database URL: http://www.cycadsys.org PMID:21474551
Systemic risk: the dynamics of model banking systems
May, Robert M.; Arinaminpathy, Nimalan
2010-01-01
The recent banking crises have made it clear that increasingly complex strategies for managing risk in individual banks have not been matched by corresponding attention to overall systemic risks. We explore some simple mathematical caricatures for ‘banking ecosystems’, with emphasis on the interplay between the characteristics of individual banks (capital reserves in relation to total assets, etc.) and the overall dynamical behaviour of the system. The results are discussed in relation to potential regulations aimed at reducing systemic risk. PMID:19864264
Deep-sea benthic habitats modeling and mapping in a NE Atlantic seamount (Galicia Bank)
NASA Astrophysics Data System (ADS)
Serrano, A.; González-Irusta, J. M.; Punzón, A.; García-Alegre, A.; Lourido, A.; Ríos, P.; Blanco, M.; Gómez-Ballesteros, M.; Druet, M.; Cristobo, J.; Cartes, J. E.
2017-08-01
This study presents the results of seafloor habitat identification and mapping of a NE Atlantic deep seamount. An ;assemble first, predict later; approach has been followed to identify and map the benthic habitats of the Galicia Bank (NW Iberian). Biotic patterns inferred from the survey data have been used to drive the definition of benthic assemblages using multivariate tools. Eight assemblages, four hard substrates and four sedimentary ones, have been described from a matrix of structural species. Distribution of these assemblages was correlated with environmental factors (multibeam and backscatter data) using binomial GAMs. Finally, the distribution model of each assemblage was applied to produce continuous maps and pooled in a final map with the distribution of the main benthic habitats. Depth and substrate type are key factors when determining soft bottom communities, whereas rocky habitat distribution is mainly explained by rock slope and orientation. Enrichment by northern water masses (LSW) arriving to GB and possible zooplankton biomass increase at vertical-steep walls by ;bottom trapping; can explain the higher diversity of habitat providing filter-feeders at slope rocky breaks. These results concerning vulnerable species and habitats, such as Lophelia and Madrepora communities and black and bamboo coral aggregations were the basis of the Spanish proposal of inclusion within the Natura 2000 network. The aim of the present study was to establish the scientific criteria needed for managing and protecting those environmental values.
PCANet: A Simple Deep Learning Baseline for Image Classification?
Chan, Tsung-Han; Jia, Kui; Gao, Shenghua; Lu, Jiwen; Zeng, Zinan; Ma, Yi
2015-12-01
In this paper, we propose a very simple deep learning network for image classification that is based on very basic data processing components: 1) cascaded principal component analysis (PCA); 2) binary hashing; and 3) blockwise histograms. In the proposed architecture, the PCA is employed to learn multistage filter banks. This is followed by simple binary hashing and block histograms for indexing and pooling. This architecture is thus called the PCA network (PCANet) and can be extremely easily and efficiently designed and learned. For comparison and to provide a better understanding, we also introduce and study two simple variations of PCANet: 1) RandNet and 2) LDANet. They share the same topology as PCANet, but their cascaded filters are either randomly selected or learned from linear discriminant analysis. We have extensively tested these basic networks on many benchmark visual data sets for different tasks, including Labeled Faces in the Wild (LFW) for face verification; the MultiPIE, Extended Yale B, AR, Facial Recognition Technology (FERET) data sets for face recognition; and MNIST for hand-written digit recognition. Surprisingly, for all tasks, such a seemingly naive PCANet model is on par with the state-of-the-art features either prefixed, highly hand-crafted, or carefully learned [by deep neural networks (DNNs)]. Even more surprisingly, the model sets new records for many classification tasks on the Extended Yale B, AR, and FERET data sets and on MNIST variations. Additional experiments on other public data sets also demonstrate the potential of PCANet to serve as a simple but highly competitive baseline for texture classification and object recognition.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Wasan, D.T.
The relative permeability model for two phase flow in porous media (Wasan 1983; Ramakrishnan and Wasan 1984) provides the necessary fractional flow curves at a given capillary number. These curves can be utilized in modeling both enhanced secondary and tertiary recovery processes. Important parameters in the fractional flow curves of our relative permeability model are the residual wetting and nonwetting phase saturations in a low capillary number flooding process. To understand, what constitutes the residual saturations, this quarter we have studied the displacement of one incompressible fluid by another in a porous medium using the network representation. The Bernoulli percolationmore » model for an infinite lattice graph is utilized in the interpretation of the capillary behavior of the medium, which ultimately determines residual saturations. The calculated capillary pressure-saturation relationship using Bethe lattice results agrees qualitatively with experimental data. 4 references, 2 figures.« less
Evaluation of Item Candidates: The PROMIS Qualitative Item Review
DeWalt, Darren A.; Rothrock, Nan; Yount, Susan; Stone, Arthur A.
2009-01-01
One of the PROMIS (Patient-Reported Outcome Measurement Information System) network's primary goals is the development of a comprehensive item bank for patient-reported outcomes of chronic diseases. For its first set of item banks, PROMIS chose to focus on pain, fatigue, emotional distress, physical function, and social function. An essential step for the development of an item pool is the identification, evaluation, and revision of extant questionnaire items for the core item pool. In this work, we also describe the systematic process wherein items are classified for subsequent statistical processing by the PROMIS investigators. Six phases of item development are documented: identification of extant items, item classification and selection, item review and revision, focus group input on domain coverage, cognitive interviews with individual items, and final revision before field testing. Identification of items refers to the systematic search for existing items in currently available scales. Expert item review and revision was conducted by trained professionals who reviewed the wording of each item and revised as appropriate for conventions adopted by the PROMIS network. Focus groups were used to confirm domain definitions and to identify new areas of item development for future PROMIS item banks. Cognitive interviews were used to examine individual items. Items successfully screened through this process were sent to field testing and will be subjected to innovative scale construction procedures. PMID:17443114
Hanif, Rumeza; Jabeen, Ishrat; Mansoor, Qaisar; Ismail, Muhammad
2018-01-01
Insulin-like growth factor 1 receptor (IGF-1R) is an important therapeutic target for breast cancer treatment. The alteration in the IGF-1R associated signaling network due to various genetic and environmental factors leads the system towards metastasis. The pharmacophore modeling and logical approaches have been applied to analyze the behaviour of complex regulatory network involved in breast cancer. A total of 23 inhibitors were selected to generate ligand based pharmacophore using the tool, Molecular Operating Environment (MOE). The best model consisted of three pharmacophore features: aromatic hydrophobic (HyD/Aro), hydrophobic (HyD) and hydrogen bond acceptor (HBA). This model was validated against World drug bank (WDB) database screening to identify 189 hits with the required pharmacophore features and was further screened by using Lipinski positive compounds. Finally, the most effective drug, fulvestrant, was selected. Fulvestrant is a selective estrogen receptor down regulator (SERD). This inhibitor was further studied by using both in-silico and in-vitro approaches that showed the targeted effect of fulvestrant in ER+ MCF-7 cells. Results suggested that fulvestrant has selective cytotoxic effect and a dose dependent response on IRS-1, IGF-1R, PDZK1 and ER-α in MCF-7 cells. PDZK1 can be an important inhibitory target using fulvestrant because it directly regulates IGF-1R. PMID:29787591
Khalid, Samra; Hanif, Rumeza; Jabeen, Ishrat; Mansoor, Qaisar; Ismail, Muhammad
2018-01-01
Insulin-like growth factor 1 receptor (IGF-1R) is an important therapeutic target for breast cancer treatment. The alteration in the IGF-1R associated signaling network due to various genetic and environmental factors leads the system towards metastasis. The pharmacophore modeling and logical approaches have been applied to analyze the behaviour of complex regulatory network involved in breast cancer. A total of 23 inhibitors were selected to generate ligand based pharmacophore using the tool, Molecular Operating Environment (MOE). The best model consisted of three pharmacophore features: aromatic hydrophobic (HyD/Aro), hydrophobic (HyD) and hydrogen bond acceptor (HBA). This model was validated against World drug bank (WDB) database screening to identify 189 hits with the required pharmacophore features and was further screened by using Lipinski positive compounds. Finally, the most effective drug, fulvestrant, was selected. Fulvestrant is a selective estrogen receptor down regulator (SERD). This inhibitor was further studied by using both in-silico and in-vitro approaches that showed the targeted effect of fulvestrant in ER+ MCF-7 cells. Results suggested that fulvestrant has selective cytotoxic effect and a dose dependent response on IRS-1, IGF-1R, PDZK1 and ER-α in MCF-7 cells. PDZK1 can be an important inhibitory target using fulvestrant because it directly regulates IGF-1R.
12 CFR Appendix B to Part 1022 - Model Notices of Furnishing Negative Information
Code of Federal Regulations, 2010 CFR
2018-01-01
... 12 Banks and Banking 8 2018-01-01 2018-01-01 false Model Notices of Furnishing Negative... REPORTING (REGULATION V) Pt. 1022, App. B Appendix B to Part 1022—Model Notices of Furnishing Negative Information a. Although use of the model notices is not required, a financial institution that is subject to...
12 CFR Appendix B to Part 222 - Model Notices of Furnishing Negative Information
Code of Federal Regulations, 2010 CFR
2010-01-01
... account.” Model Notice B-1 We may report information about your account to credit bureaus. Late payments, missed payments, or other defaults on your account may be reflected in your credit report. Model Notice B... 12 Banks and Banking 3 2010-01-01 2010-01-01 false Model Notices of Furnishing Negative...
Sjöholm, Kristoffer; Kilsgård, Ola; Teleman, Johan; Happonen, Lotta; Malmström, Lars; Malmström, Johan
2017-04-01
Sepsis is a systemic immune response responsible for considerable morbidity and mortality. Molecular modeling of host-pathogen interactions in the disease state represents a promising strategy to define molecular events of importance for the transition from superficial to invasive infectious diseases. Here we used the Gram-positive bacterium Streptococcus pyogenes as a model system to establish a mass spectrometry based workflow for the construction of a stoichiometric surface density model between the S. pyogenes surface, the surface virulence factor M-protein, and adhered human blood plasma proteins. The workflow relies on stable isotope labeled reference peptides and selected reaction monitoring mass spectrometry analysis of a wild-type strain and an M-protein deficient mutant strain, to generate absolutely quantified protein stoichiometry ratios between S. pyogenes and interacting plasma proteins. The stoichiometry ratios in combination with a novel targeted mass spectrometry method to measure cell numbers enabled the construction of a stoichiometric surface density model using protein structures available from the protein data bank. The model outlines the topology and density of the host-pathogen protein interaction network on the S. pyogenes bacterial surface, revealing a dense and highly organized protein interaction network. Removal of the M-protein from S. pyogenes introduces a drastic change in the network topology, validated by electron microscopy. We propose that the stoichiometric surface density model of S. pyogenes in human blood plasma represents a scalable framework that can continuously be refined with the emergence of new results. Future integration of new results will improve the understanding of protein-protein interactions and their importance for bacterial virulence. Furthermore, we anticipate that the general properties of the developed workflow will facilitate the production of stoichiometric surface density models for other types of host-pathogen interactions. © 2017 by The American Society for Biochemistry and Molecular Biology, Inc.
Andries, Alin Marius; Capraru, Bogdan
2013-01-01
In this paper we analyse the impact of financial liberalization and reforms on the banking performance in 17 countries from CEE for the period 2004–2008 using a two-stage empirical model that involves estimating bank performance in the first stage and assessing its determinants in the second one. From our analysis it results that banks from CEE countries with higher level of liberalization and openness are able to increase cost efficiency and eventually to offer cheaper services to clients. Banks from non-member EU countries are less cost efficient but experienced much higher total productivity growth level, and large sized banks are much more cost efficient than medium and small banks, while small sized banks show the highest growth in terms of productivity. PMID:23555745
Andries, Alin Marius; Capraru, Bogdan
2013-01-01
In this paper we analyse the impact of financial liberalization and reforms on the banking performance in 17 countries from CEE for the period 2004-2008 using a two-stage empirical model that involves estimating bank performance in the first stage and assessing its determinants in the second one. From our analysis it results that banks from CEE countries with higher level of liberalization and openness are able to increase cost efficiency and eventually to offer cheaper services to clients. Banks from non-member EU countries are less cost efficient but experienced much higher total productivity growth level, and large sized banks are much more cost efficient than medium and small banks, while small sized banks show the highest growth in terms of productivity.
Knowledge in Development: Epistemic Machineries in a Global Context
ERIC Educational Resources Information Center
Evers, Hans-Dieter; Kaiser, Markus; Muller, Christine
2009-01-01
Knowledge has become a decisive and competitive resource for local and global development, especially since the paradigm "knowledge for development" was initiated and promoted by the World Bank in 1998-1999. Through the use of novel management structures and technologically supported social networks, development organisations and…
Magnitudes and Sources of Catchment Sediment: When A + B Doesn't Equal C
NASA Astrophysics Data System (ADS)
Simon, A.
2015-12-01
The export of land-based sediments to receiving waters can cause degradation of water quality and habitat, loss of reservoir capacity and damage to reef ecosystems. Predictions of sources and magnitudes generally come from simulations using catchment models that focus on overland flow processes at the expense of gully and channel processes. This is not appropriate for many catchments where recent research has shown that the dominant erosion sources have shifted from the uplands and fields following European Settlement, to the alluvial valleys today. Still, catchment models which fail to adequately address channel and bank processes are still the overwhelming choice by resource agencies to help manage sediment export. These models often utilize measured values of sediment load at the river mouth to "calibrate" the magnitude of loads emanating from uplands and fields. The difference between the sediment load at the mouth and the simulated upland loading is then proportioned to channel sources.Bank erosion from the Burnett River (a "Reef Catchment" in eastern Queensland) was quantified by comparisons of bank-top locations and by numerical modeling using BSTEM. Results show that bank-derived sediment contributes between 44 and 73% of the sediment load being exported to the Coral Sea. In comparison reported results from a catchment model showed bank contributions of 8%. In absolute terms, this is an increase in the reported average, annual rate of bank erosion from 0.175 Mt/y to 2.0 Mt/y.In the Hoteo River, New Zealand, a rural North Island catchment characterized by resistant cohesive sediments, bank erosion was found to contribute at least 48% of the total specific yield of sediment. Combining the bank-derived, fine-grained loads from some of the major tributaries gives a total, average annual loading rate for fine material of about 10,900 t/y for the studied reaches in the Hoteo River System. If the study was extended to include the lower reaches of the main stem channel and other tributary reaches, this percentage would be higher. Similar studies in the United States using combinations of empirical and numerical modeling techniques have also disclosed that bank-derived sediment can be the major source of sediment in many catchments. An approach to improve the accuracy of predictions is proposed.
NASA Astrophysics Data System (ADS)
Song, Jie; Dong, Mei; Koltuk, Serdar; Hu, Hui; Zhang, Luqing; Azzam, Rafig
2018-05-01
Construction works associated with the building of reservoirs in mountain areas can damage the stability of adjacent valley slopes. Seepage processes caused by the filling and drawdown operations of reservoirs also affect the stability of the reservoir banks over time. The presented study investigates the stability of a fractured-rock slope subjected to seepage forces in the lower basin of a planned pumped-storage hydropower (PSH) plant in Blaubeuren, Germany. The investigation uses a hydro-mechanically coupled finite-element analyses. For this purpose, an equivalent continuum model is developed by using a representative elementary volume (REV) approach. To determine the minimum required REV size, a large number of discrete fracture networks are generated using Monte Carlo simulations. These analyses give a REV size of 28 × 28 m, which is sufficient to represent the equivalent hydraulic and mechanical properties of the investigated fractured-rock mass. The hydro-mechanically coupled analyses performed using this REV size show that the reservoir operations in the examined PSH plant have negligible effect on the adjacent valley slope.
NASA Astrophysics Data System (ADS)
Romano, Paul Kollath
Monte Carlo particle transport methods are being considered as a viable option for high-fidelity simulation of nuclear reactors. While Monte Carlo methods offer several potential advantages over deterministic methods, there are a number of algorithmic shortcomings that would prevent their immediate adoption for full-core analyses. In this thesis, algorithms are proposed both to ameliorate the degradation in parallel efficiency typically observed for large numbers of processors and to offer a means of decomposing large tally data that will be needed for reactor analysis. A nearest-neighbor fission bank algorithm was proposed and subsequently implemented in the OpenMC Monte Carlo code. A theoretical analysis of the communication pattern shows that the expected cost is O( N ) whereas traditional fission bank algorithms are O(N) at best. The algorithm was tested on two supercomputers, the Intrepid Blue Gene/P and the Titan Cray XK7, and demonstrated nearly linear parallel scaling up to 163,840 processor cores on a full-core benchmark problem. An algorithm for reducing network communication arising from tally reduction was analyzed and implemented in OpenMC. The proposed algorithm groups only particle histories on a single processor into batches for tally purposes---in doing so it prevents all network communication for tallies until the very end of the simulation. The algorithm was tested, again on a full-core benchmark, and shown to reduce network communication substantially. A model was developed to predict the impact of load imbalances on the performance of domain decomposed simulations. The analysis demonstrated that load imbalances in domain decomposed simulations arise from two distinct phenomena: non-uniform particle densities and non-uniform spatial leakage. The dominant performance penalty for domain decomposition was shown to come from these physical effects rather than insufficient network bandwidth or high latency. The model predictions were verified with measured data from simulations in OpenMC on a full-core benchmark problem. Finally, a novel algorithm for decomposing large tally data was proposed, analyzed, and implemented/tested in OpenMC. The algorithm relies on disjoint sets of compute processes and tally servers. The analysis showed that for a range of parameters relevant to LWR analysis, the tally server algorithm should perform with minimal overhead. Tests were performed on Intrepid and Titan and demonstrated that the algorithm did indeed perform well over a wide range of parameters. (Copies available exclusively from MIT Libraries, libraries.mit.edu/docs - docs mit.edu)
Petarli, Glenda Blaser; Zandonade, Eliana; Salaroli, Luciane Bresciani; Bissoli, Nazaré Souza
2015-12-01
Occupational stress has become a major cause of illness and a major risk to the psychological and social well-being of workers. In this context, the aim of this study was to estimate the prevalence of occupational stress in employees of a banking network in the municipal region of Vitória, state of Espírito Santo, and its association with sociodemographic variables and work characteristics. This cross-sectional study involved 525 bank employees. Occupational stress was evaluated using the short version of the Job Stress Scale. A multivariate analysis was conducted to evaluate the association between the Karasek quadrants and the independent variables. It was found that most bank employees belonged to the "passive jobs" quadrant (34.4%, n = 179) and were considered to have an intermediate risk of occupational stress. Considering the "low demand jobs" category as the standard, the increased risk of stress was associated with low education levels (odds ratio, 3.69, 95% CI, 1.64-8.28), working in bank agencies (odds ratio, 2.55, 95% CI, 1.36-4.77), a length of employment at the bank of more than five years (odds ratio, 3.32, 95% CI, 1.89-5.81), a daily work period of six hours (odds ratio, 2.72, 95% CI, 1.27-5.81), and, mainly, low social support (odds ratio, 2.57, 95% CI 1.45- 4.56).
Exploring drug-target interaction networks of illicit drugs.
Atreya, Ravi V; Sun, Jingchun; Zhao, Zhongming
2013-01-01
Drug addiction is a complex and chronic mental disease, which places a large burden on the American healthcare system due to its negative effects on patients and their families. Recently, network pharmacology is emerging as a promising approach to drug discovery by integrating network biology and polypharmacology, allowing for a deeper understanding of molecular mechanisms of drug actions at the systems level. This study seeks to apply this approach for investigation of illicit drugs and their targets in order to elucidate their interaction patterns and potential secondary drugs that can aid future research and clinical care. In this study, we extracted 188 illicit substances and their related information from the DrugBank database. The data process revealed 86 illicit drugs targeting a total of 73 unique human genes, which forms an illicit drug-target network. Compared to the full drug-target network from DrugBank, illicit drugs and their target genes tend to cluster together and form four subnetworks, corresponding to four major medication categories: depressants, stimulants, analgesics, and steroids. External analysis of Anatomical Therapeutic Chemical (ATC) second sublevel classifications confirmed that the illicit drugs have neurological functions or act via mechanisms of stimulants, opioids, and steroids. To further explore other drugs potentially having associations with illicit drugs, we constructed an illicit-extended drug-target network by adding the drugs that have the same target(s) as illicit drugs to the illicit drug-target network. After analyzing the degree and betweenness of the network, we identified hubs and bridge nodes, which might play important roles in the development and treatment of drug addiction. Among them, 49 non-illicit drugs might have potential to be used to treat addiction or have addictive effects, including some results that are supported by previous studies. This study presents the first systematic review of the network characteristics of illicit drugs, their targets, and other drugs that share the targets of these illicit drugs. The results, though preliminary, provide some novel insights into the molecular mechanisms of drug addiction. The observation of illicit-related drugs, with partial verification from previous studies, demonstrated that the network-assisted approach is promising for the identification of drug repositioning.
Exploring drug-target interaction networks of illicit drugs
2013-01-01
Background Drug addiction is a complex and chronic mental disease, which places a large burden on the American healthcare system due to its negative effects on patients and their families. Recently, network pharmacology is emerging as a promising approach to drug discovery by integrating network biology and polypharmacology, allowing for a deeper understanding of molecular mechanisms of drug actions at the systems level. This study seeks to apply this approach for investigation of illicit drugs and their targets in order to elucidate their interaction patterns and potential secondary drugs that can aid future research and clinical care. Results In this study, we extracted 188 illicit substances and their related information from the DrugBank database. The data process revealed 86 illicit drugs targeting a total of 73 unique human genes, which forms an illicit drug-target network. Compared to the full drug-target network from DrugBank, illicit drugs and their target genes tend to cluster together and form four subnetworks, corresponding to four major medication categories: depressants, stimulants, analgesics, and steroids. External analysis of Anatomical Therapeutic Chemical (ATC) second sublevel classifications confirmed that the illicit drugs have neurological functions or act via mechanisms of stimulants, opioids, and steroids. To further explore other drugs potentially having associations with illicit drugs, we constructed an illicit-extended drug-target network by adding the drugs that have the same target(s) as illicit drugs to the illicit drug-target network. After analyzing the degree and betweenness of the network, we identified hubs and bridge nodes, which might play important roles in the development and treatment of drug addiction. Among them, 49 non-illicit drugs might have potential to be used to treat addiction or have addictive effects, including some results that are supported by previous studies. Conclusions This study presents the first systematic review of the network characteristics of illicit drugs, their targets, and other drugs that share the targets of these illicit drugs. The results, though preliminary, provide some novel insights into the molecular mechanisms of drug addiction. The observation of illicit-related drugs, with partial verification from previous studies, demonstrated that the network-assisted approach is promising for the identification of drug repositioning. PMID:24268016
Harmonised information exchange between decentralised food composition database systems.
Pakkala, H; Christensen, T; de Victoria, I Martínez; Presser, K; Kadvan, A
2010-11-01
The main aim of the European Food Information Resource (EuroFIR) project is to develop and disseminate a comprehensive, coherent and validated data bank for the distribution of food composition data (FCD). This can only be accomplished by harmonising food description and data documentation and by the use of standardised thesauri. The data bank is implemented through a network of local FCD storages (usually national) under the control and responsibility of the local (national) EuroFIR partner. The implementation of the system based on the EuroFIR specifications is under development. The data interchange happens through the EuroFIR Web Services interface, allowing the partners to implement their system using methods and software suitable for the local computer environment. The implementation uses common international standards, such as Simple Object Access Protocol, Web Service Description Language and Extensible Markup Language (XML). A specifically constructed EuroFIR search facility (eSearch) was designed for end users. The EuroFIR eSearch facility compiles queries using a specifically designed Food Data Query Language and sends a request to those network nodes linked to the EuroFIR Web Services that will most likely have the requested information. The retrieved FCD are compiled into a specifically designed data interchange format (the EuroFIR Food Data Transport Package) in XML, which is sent back to the EuroFIR eSearch facility as the query response. The same request-response operation happens in all the nodes that have been selected in the EuroFIR eSearch facility for a certain task. Finally, the FCD are combined by the EuroFIR eSearch facility and delivered to the food compiler. The implementation of FCD interchange using decentralised computer systems instead of traditional data-centre models has several advantages. First of all, the local partners have more control over their FCD, which will increase commitment and improve quality. Second, a multicentred solution is more economically viable than the creation of a centralised data bank, because of the lack of national political support for multinational systems.
Ecological networks and their fragility.
Montoya, José M; Pimm, Stuart L; Solé, Ricard V
2006-07-20
Darwin used the metaphor of a 'tangled bank' to describe the complex interactions between species. Those interactions are varied: they can be antagonistic ones involving predation, herbivory and parasitism, or mutualistic ones, such as those involving the pollination of flowers by insects. Moreover, the metaphor hints that the interactions may be complex to the point of being impossible to understand. All interactions can be visualized as ecological networks, in which species are linked together, either directly or indirectly through intermediate species. Ecological networks, although complex, have well defined patterns that both illuminate the ecological mechanisms underlying them and promise a better understanding of the relationship between complexity and ecological stability.
Functional network in posttranslational modifications: Glyco-Net in Glycoconjugate Data Bank.
Miura, Nobuaki; Okada, Takuya; Murayama, Daisuke; Hirose, Kazuko; Sato, Taku; Hashimoto, Ryo; Fukushima, Nobuhiro
2015-01-01
Elucidating pathways related to posttranslational modifications (PTMs) such as glycosylation is of growing importance in post-genome science and technology. Graphical networks describing the relationships among glycan-related molecules, including genes, proteins, lipids, and various biological events, are considered extremely valuable and convenient tools for the systematic investigation of PTMs. Glyco-Net (http://bibi.sci.hokudai.ac.jp/functions/) can dynamically make network figures among various biological molecules and biological events. A certain molecule or event is expressed with a node, and the relationship between the molecule and the event is indicated by arrows in the network figures. In this chapter, we mention the features and current status of the Glyco-Net and a simple example of the search with the Glyco-Net.
SELCO: A model for solar rural electrification in India
NASA Astrophysics Data System (ADS)
Hande, H. Harish
1999-11-01
The following thesis presents the concept of a Rural Energy Service Company in India, known as SELCO. The model is being set up as a sustainable proposition for the implementation of solar photovoltaics as a viable alternative to provide reliable home lighting in the rural areas of India. The SELCO approach has already achieved noteworthy social and commercial results. Institutional, policy and operational problems have long plagued the rural electrification programs in India, resulting in thousands of villages without access to electricity. SELCO is a solar energy service company operating in Southern India since 1995, focusing on the enormous untapped market for home lighting where thousands of households have no access to electricity and severe power shortages face those already connected to the electric grid. The Company has installed nearly 2,000 solar home lighting systems. From a modest two employees company in 1995, it has grown to 35 in 1997 and from one office to eight. The hypothesis to be tested in this study is that in rural India, in a market not subsidized by the government, a solar service company with available loans from local banks and cooperatives and with sales, installation, and maintenance personnel in the villages can be successful in introducing photovoltaic systems to provide basic amenities such as lighting and water pumping for the improvement of the quality of life, public health, and the environment. The initial success of SELCO lends considerable evidence to the acceptance of the hypothesis. To accomplish its mission, SELCO works with commercial, retail, and rural development banks with large rural branch networks to stimulate loans to SELCO's customers based on a standard set of attractive financing terms. SELCO through its successful model has convinced the policy makers that a way to increase rural families' access to consumer financing for solar home lighting systems is through the existing financial network available in the country. Private investments, loans, and conditional grants totaling approximately US$ 650,000 have provided the working capital to date. A successful SELCO project would serve as a model for the world. The project would serve as a model not only for the Indian Government, the State Electricity Boards, and other Indian companies, but for the bulk of the world's utilities that are finding it difficult to electrify the vast majority of their rural service territories.
Establishing an integrated human milk banking approach to strengthen newborn care.
DeMarchis, A; Israel-Ballard, K; Mansen, Kimberly Amundson; Engmann, C
2017-05-01
The provision of donor human milk can significantly reduce morbidity and mortality among vulnerable infants and is recommended by the World Health Organization as the next best option when a mother's own milk is unavailable. Regulated human milk banks can meet this need, however, scale-up has been hindered by the absence of an appropriate model for resource-limited settings and a lack of policy support for human milk banks and for the operational procedures supporting them. To reduce infant mortality, human milk banking systems need to be scaled up and integrated with other components of newborn care. This article draws on current guidelines and best practices from human milk banks to offer a compilation of universal requirements that provide a foundation for an integrated model of newborn care that is appropriate for low- and high-resource settings alike.
Haredasht, S Amirpour; Taylor, C J; Maes, P; Verstraeten, W W; Clement, J; Barrios, M; Lagrou, K; Van Ranst, M; Coppin, P; Berckmans, D; Aerts, J-M
2013-11-01
Wildlife-originated zoonotic diseases in general are a major contributor to emerging infectious diseases. Hantaviruses more specifically cause thousands of human disease cases annually worldwide, while understanding and predicting human hantavirus epidemics pose numerous unsolved challenges. Nephropathia epidemica (NE) is a human infection caused by Puumala virus, which is naturally carried and shed by bank voles (Myodes glareolus). The objective of this study was to develop a method that allows model-based predicting 3 months ahead of the occurrence of NE epidemics. Two data sets were utilized to develop and test the models. These data sets were concerned with NE cases in Finland and Belgium. In this study, we selected the most relevant inputs from all the available data for use in a dynamic linear regression (DLR) model. The number of NE cases in Finland were modelled using data from 1996 to 2008. The NE cases were predicted based on the time series data of average monthly air temperature (°C) and bank voles' trapping index using a DLR model. The bank voles' trapping index data were interpolated using a related dynamic harmonic regression model (DHR). Here, the DLR and DHR models used time-varying parameters. Both the DHR and DLR models were based on a unified state-space estimation framework. For the Belgium case, no time series of the bank voles' population dynamics were available. Several studies, however, have suggested that the population of bank voles is related to the variation in seed production of beech and oak trees in Northern Europe. Therefore, the NE occurrence pattern in Belgium was predicted based on a DLR model by using remotely sensed phenology parameters of broad-leaved forests, together with the oak and beech seed categories and average monthly air temperature (°C) using data from 2001 to 2009. Our results suggest that even without any knowledge about hantavirus dynamics in the host population, the time variation in NE outbreaks in Finland could be predicted 3 months ahead with a 34% mean relative prediction error (MRPE). This took into account solely the population dynamics of the carrier species (bank voles). The time series analysis also revealed that climate change, as represented by the vegetation index, changes in forest phenology derived from satellite images and directly measured air temperature, may affect the mechanics of NE transmission. NE outbreaks in Belgium were predicted 3 months ahead with a 40% MRPE, based only on the climatological and vegetation data, in this case, without any knowledge of the bank vole's population dynamics. In this research, we demonstrated that NE outbreaks can be predicted using climate and vegetation data or the bank vole's population dynamics, by using dynamic data-based models with time-varying parameters. Such a predictive modelling approach might be used as a step towards the development of new tools for the prevention of future NE outbreaks. © 2012 Blackwell Verlag GmbH.
NASA Astrophysics Data System (ADS)
Lerner-Lam, A.; Aster, R.; Beck, S.; Ekstrom, G.; Fisher, K.; Meltzer, A.; Nyblade, A.; Sandvol, E.; Willemann, R.
2008-12-01
Over the past quarter century, national investments in high-fidelity digital seismograph networks have resulted in a global infrastructure for real-time in situ earthquake monitoring. Many network operators adhere to community-developed standards, with the result that there are few technical impediments to data sharing and real-time information exchange. Two unanswered questions, however, are whether the existing models of international collaboration will ensure the stability and sustainability of global earthquake monitoring, and whether the participating institutions can work with international development agencies and non- governmental organizations in meeting linked development and natural hazard risk reduction goals. Since the 2004 Indian Ocean tsunami, many of these actors are enlarging their commitments to natural hazard risk reduction and building national technical capacities, among broader programs in poverty alleviation and adaptation to environmental stress. Despite this renewed commitment, international development organizations, with notable exceptions, have been relatively passive in discussions of how the existing earthquake monitoring infrastructure could be leveraged to support risk-reduction programs and meet sustainable development goals. At the same time, the international seismological community - comprising universities and government seismological surveys - has built research and education initiatives such as EarthScope, AfricaArray, and similar programs in China, Europe and South America, that use innovative instrumentation technologies and deployment strategies to enable new science and applications, and promote education and training in critical sectors. Can these developments be combined? Recognizing this communication or knowledge gap, the IRIS International Working Group (IWG) explores the link between the activities of IRIS Members using IRIS facilities and the missions of international development agencies, such as US AID, the World Bank, other international development banks, and agencies of the United Nations. Interests of US seismologists are served by encouraging development of modern seismographic systems in countries around the world to collect data that are useful in research as well as hazard mitigation and other national interests. Activities of the IWG to date include communicating the benefits of geophysical infrastructure and training to disaster risk reduction programs within the United Nations and development banks, coordinating an initiative to leverage retired PASSCAL data loggers through long-term loans to network operators in foreign countries, preparing a white paper outlining IRIS capabilities relevant to international development, and conducting a workshop, "Out of Africa", on modernizing geophysical infrastructure in the Americas and Southeast Asia through projects that are closely tied to university education and academic research.
Measuring the post-adoption customer perception of mobile banking services.
Yu, Tai-Kuei; Fang, Kwoting
2009-02-01
With liberalization and internalization in the financial market and progress in information technology, banks face dual competitive pressures to provide service quality and administrative efficiency. That these recent developments are fueled by technology might misleadingly suggest that the adoption of mobile banking is largely based on technological criteria. The purpose of this study is to establish a better measurement model for postadoption user perception of mobile banking services. Based on 458 valid responses of mobile banking users, the results show that the instrument, consisting of 21 items and 6 factors, is a reliable, valid, and useful measurement for assessing the postadoption perception of mobile banking.
Customer Loyalty in Virtual Environments: An Empirical Study in e-Bank
NASA Astrophysics Data System (ADS)
Chao, Yu; Lee, Gin-Yuan; Ho, Yung-Ching
2009-08-01
The advent of e-commerce has increased the importance of consumer financing operations. Internet banking helps banks to develop relationship marketing, thus improve customer loyalty. This study proposes a research framework to examine the relationships among e-service quality, customer satisfaction, customer trust and e-loyalty in e-bank in Taiwan. Data are collected through a survey using a structured questionnaire. The 442 valid respondents who have experience with e-bank are analyzed by partial least squares structural equation modeling (PLS-SEM) method. The managerial implication is e-bank must focus on e-service quality to increase customer satisfaction and trust for obtaining the e-loyalty.
12 CFR Appendix G to Part 1026 - Open-End Model Forms and Clauses
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 8 2013-01-01 2013-01-01 false Open-End Model Forms and Clauses G Appendix G...) Pt. 1026, App. G Appendix G to Part 1026—Open-End Model Forms and Clauses G-1Balance Computation Methods Model Clauses (Home-equity Plans) (§§ 1026.6 and 1026.7) G-1(A)Balance Computation Methods Model...
12 CFR Appendix G to Part 1026 - Open-End Model Forms and Clauses
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 8 2012-01-01 2012-01-01 false Open-End Model Forms and Clauses G Appendix G...) Pt. 1026, App. G Appendix G to Part 1026—Open-End Model Forms and Clauses G-1Balance Computation Methods Model Clauses (Home-equity Plans) (§§ 1026.6 and 1026.7) G-1(A)Balance Computation Methods Model...
12 CFR Appendix G to Part 1026 - Open-End Model Forms and Clauses
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 9 2014-01-01 2014-01-01 false Open-End Model Forms and Clauses G Appendix G...) Pt. 1026, App. G Appendix G to Part 1026—Open-End Model Forms and Clauses G-1Balance Computation Methods Model Clauses (Home-equity Plans) (§§ 1026.6 and 1026.7) G-1(A)Balance Computation Methods Model...
12 CFR Appendix B to Part 230 - Model Clauses and Sample Forms
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 3 2010-01-01 2010-01-01 false Model Clauses and Sample Forms B Appendix B to... SYSTEM TRUTH IN SAVINGS (REGULATION DD) Pt. 230, App. B Appendix B to Part 230—Model Clauses and Sample Forms Table of contents B-1—Model Clauses for Account Disclosures (Section 230.4(b)) B-2—Model Clauses...
A case management agency and bank create a service innovation.
Katz, K S; Stowe, A W
1992-01-01
Connecticut Community Care, Inc. (CCCI), a statewide, nonprofit case management agency, in collaboration with Connecticut National Bank (CNB), developed a unique model of delivering case management services to bank trust clients. No reports of such a collaborative model have been found in the published literature in the United States. The article presents a historical overview of this innovative initiative; the identification of the target population; the delivery of the assessment, coordination, and monitoring services; and the marketing techniques. Utilization statistics, a synopsis of the model outcomes as viewed by the trust officers, and suggestions for replication are also presented.
Efficient encoding of motion is mediated by gap junctions in the fly visual system.
Wang, Siwei; Borst, Alexander; Zaslavsky, Noga; Tishby, Naftali; Segev, Idan
2017-12-01
Understanding the computational implications of specific synaptic connectivity patterns is a fundamental goal in neuroscience. In particular, the computational role of ubiquitous electrical synapses operating via gap junctions remains elusive. In the fly visual system, the cells in the vertical-system network, which play a key role in visual processing, primarily connect to each other via axonal gap junctions. This network therefore provides a unique opportunity to explore the functional role of gap junctions in sensory information processing. Our information theoretical analysis of a realistic VS network model shows that within 10 ms following the onset of the visual input, the presence of axonal gap junctions enables the VS system to efficiently encode the axis of rotation, θ, of the fly's ego motion. This encoding efficiency, measured in bits, is near-optimal with respect to the physical limits of performance determined by the statistical structure of the visual input itself. The VS network is known to be connected to downstream pathways via a subset of triplets of the vertical system cells; we found that because of the axonal gap junctions, the efficiency of this subpopulation in encoding θ is superior to that of the whole vertical system network and is robust to a wide range of signal to noise ratios. We further demonstrate that this efficient encoding of motion by this subpopulation is necessary for the fly's visually guided behavior, such as banked turns in evasive maneuvers. Because gap junctions are formed among the axons of the vertical system cells, they only impact the system's readout, while maintaining the dendritic input intact, suggesting that the computational principles implemented by neural circuitries may be much richer than previously appreciated based on point neuron models. Our study provides new insights as to how specific network connectivity leads to efficient encoding of sensory stimuli.
12 CFR Appendix B to Part 202 - Model Application Forms
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 2 2014-01-01 2014-01-01 false Model Application Forms B Appendix B to Part... CREDIT OPPORTUNITY ACT (REGULATION B) Pt. 202, App. B Appendix B to Part 202—Model Application Forms 1... appear on the creditor's form. 3. If a creditor uses an appropriate Appendix B model form, or modifies a...
Code of Federal Regulations, 2014 CFR
2014-01-01
... Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED... transactions over a payment card network. An acquirer does not include a person that acts only as a processor... management or policies of the company, as the Board determines. (f) Debit card (1) Means any card, or other...
Code of Federal Regulations, 2012 CFR
2012-01-01
... Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED... transactions over a payment card network. An acquirer does not include a person that acts only as a processor... management or policies of the company, as the Board determines. (f) Debit card (1) Means any card, or other...
Code of Federal Regulations, 2013 CFR
2013-01-01
... Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED... transactions over a payment card network. An acquirer does not include a person that acts only as a processor... management or policies of the company, as the Board determines. (f) Debit card (1) Means any card, or other...
Reactive system verification case study: Fault-tolerant transputer communication
NASA Technical Reports Server (NTRS)
Crane, D. Francis; Hamory, Philip J.
1993-01-01
A reactive program is one which engages in an ongoing interaction with its environment. A system which is controlled by an embedded reactive program is called a reactive system. Examples of reactive systems are aircraft flight management systems, bank automatic teller machine (ATM) networks, airline reservation systems, and computer operating systems. Reactive systems are often naturally modeled (for logical design purposes) as a composition of autonomous processes which progress concurrently and which communicate to share information and/or to coordinate activities. Formal (i.e., mathematical) frameworks for system verification are tools used to increase the users' confidence that a system design satisfies its specification. A framework for reactive system verification includes formal languages for system modeling and for behavior specification and decision procedures and/or proof-systems for verifying that the system model satisfies the system specifications. Using the Ostroff framework for reactive system verification, an approach to achieving fault-tolerant communication between transputers was shown to be effective. The key components of the design, the decoupler processes, may be viewed as discrete-event-controllers introduced to constrain system behavior such that system specifications are satisfied. The Ostroff framework was also effective. The expressiveness of the modeling language permitted construction of a faithful model of the transputer network. The relevant specifications were readily expressed in the specification language. The set of decision procedures provided was adequate to verify the specifications of interest. The need for improved support for system behavior visualization is emphasized.
Tracking the movements of a post-nesting Southern River Terrapin (Batagur affinis edwardmolli)
NASA Astrophysics Data System (ADS)
Chen, Pelf-Nyok; Wong, Adrian
2015-09-01
A Southern River Terrapin (Batagur affinis edwardmolli) Conservation Project was initiated on one terrapin nesting bank in 2011, following the discovery of a River Terrapin population in the Kemaman River, Terengganu in 2010. Since this project was initiated, Turtle Conservation Society of Malaysia (TCS) was instrumental in the gazettement of three nesting banks along the Kemaman River, from which all River Terrapin eggs are collected for incubation. However, there are at least a dozen other "unprotected" nesting banks along the river, where all eggs were collected for human consumption. This project attempted to determine the movements of a post-nesting River Terrapin, with hopes that it would provide the preliminary baseline information on the utilization of adjacent nesting banks. The solution was a GPS tracking device that transmitted coordinates every hour over cellular networks. Location-based data was sent via Short Message Service (SMS) to our own SMS gateway running on a Raspberry Pi credit-card size computer, which was then logged in a database and presented graphically via Google Maps. It was a complete tracking and monitoring system. This solution enabled researchers to remotely track the movements of a River Terrapin, hence reducing the costs of research. The movements of a post-nesting River Terrapin were tracked for eight days before the battery was drained. On the third day, this River Terrapin ascended an adjacent riverbank and spent less than an hour on the bank, presumably to deposit her remaining eggs. This study confirmed that River Terrapins do utilize other suitable nesting banks if/whenever available. Results from such tracking studies will be used to leverage on the protection of adjacent nesting banks, thus providing greater protection for the critically endangered River Terrapins.
NASA Astrophysics Data System (ADS)
Boss, Stephen K.
1996-11-01
A mosaic image of the northern Great Bahama Bank was created from separate gray-scale Landsat images using photo-editing and image analysis software that is commercially available for desktop computers. Measurements of pixel gray levels (relative scale from 0 to 255 referred to as digital number, DN) on the mosaic image were compared to bank-top bathymetry (determined from a network of single-channel, high-resolution seismic profiles), bottom type (coarse sand, sandy mud, barren rock, or reef determined from seismic profiles and diver observations), and vegetative cover (presence and/or absence and relative density of the marine angiosperm Thalassia testudinum determined from diver observations). Results of these analyses indicate that bank-top bathymetry is a primary control on observed pixel DN, bottom type is a secondary control on pixel DN, and vegetative cover is a tertiary influence on pixel DN. Consequently, processing of the gray-scale Landsat mosaic with a directional gradient edge-detection filter generated a physiographic shaded relief image resembling bank-top bathymetric patterns related to submerged physiographic features across the platform. The visibility of submerged karst landforms, Pleistocene eolianite ridges, islands, and possible paleo-drainage patterns created during sea-level lowstands is significantly enhanced on processed images relative to the original mosaic. Bank-margin ooid shoals, platform interior sand bodies, reef edifices, and bidirectional sand waves are features resulting from Holocene carbonate deposition that are also more clearly visible on the new physiographic images. Combined with observational data (single-channel, high-resolution seismic profiles, bottom observations by SCUBA divers, sediment and rock cores) across the northern Great Bahama Bank, these physiographic images facilitate comprehension of areal relations among antecedent platform topography, physical processes, and ensuing depositional patterns during sea-level rise.
A dynamic model of functioning of a bank
NASA Astrophysics Data System (ADS)
Malafeyev, Oleg; Awasthi, Achal; Zaitseva, Irina; Rezenkov, Denis; Bogdanova, Svetlana
2018-04-01
In this paper, we analyze dynamic programming as a novel approach to solve the problem of maximizing the profits of a bank. The mathematical model of the problem and the description of bank's work is described in this paper. The problem is then approached using the method of dynamic programming. Dynamic programming makes sure that the solutions obtained are globally optimal and numerically stable. The optimization process is set up as a discrete multi-stage decision process and solved with the help of dynamic programming.
The off-shore Transport of China Coastal Current over Taiwan Bank in Winter
NASA Astrophysics Data System (ADS)
Liao, E.; Yan, X. H.; Oey, L. Y.; Jiang, Y.
2016-12-01
In winter, an off-shore flow of China Coastal Current can be inferred from satellite and in-situ data over the Taiwan Bank. The dynamics related to this off-shore flow have not been previously explained and are examined here using observations and model. Influenced by southward wind stress and opposing pressure gradient, currents over the Taiwan Bank can be classified into three regimes. The southward China Coastal Current flows pass the Taiwan Bank when the wind stress is stronger than a critical value which depends on the opposite pressure gradient force. The coastal current turns northward under a weak wind stress. Two opposite currents converge over the bank and a branch of the coastal current then turns into the northward warm current when these two forces are in balance. Analysis of the vorticity balance shows that the cross-isobath movement is related to a negative bottom stress curl over the Taiwan Bank. Both bottom Ekman transport and shear and curvature vorticity related to the weak bottom slope over the Taiwan Bank contribute to the bottom stress curl. Composite analyses using observations tend to support the model results.
Sediment size of surface floodplain sediments along a large lowland river
NASA Astrophysics Data System (ADS)
Swanson, K. M.; Day, G.; Dietrich, W. E.
2007-12-01
Data on size distribution of surface sediment across a floodplain should place important constraints of modeling of floodplain deposition. Diffusive or advective models would predict that, generally, grain size should decrease away from channel banks. Variations in grain size downstream along floodplains may depend on downstream fining of river bed material, exchange rate with river banks and net deposition onto the floodplain. Here we report detailed grain size analyses taken from 17 floodplain transects along 450 km (along channel distance) reach of the middle Fly River, Papua New Guinea. Field studies have documented a systematic change in floodplain characteristics downstream from forested, more topographically elevated and topography bounded by an actively shifting mainstem channel to a downstream swamp grass, low elevation topography along which the river meanders are currently stagnant. Frequency and duration of flooding increase downstream. Flooding occurs both by overbank flows and by injections of floodwaters up tributary and tie channels connected to the mainstem. Previous studies show that about 40% of the total discharge of water passes across the floodplain, and, correspondingly, about 40% of the total load is deposited on the plain - decreasing exponentially from channel bank. We find that floodplain sediment is most sandy at the channel bank. Grain size rapidly declines away from the bank, but surprisingly two trends were also observed. A relatively short distance from the bank the surface material is finest, but with further distance from the bank (out to greater than 1 km from the 250 m wide channel) clay content decreases and silt content increases. The changes are small but repeated at most of the transects. The second trend is that bank material fines downstream, corresponding to a downstream finding bed material, but once away from the bank, there is a weak tendency for a given distance away from the bank the floodplain surface deposits to slightly coarsen downstream. We also find that sand is present (about 4%) in these surface sediments out to 1 km from the channel bank. These trends are not consistent with simple lateral transport models, and other factors, including effects of flocculation, local flow patterns, and possibly dry season wind effects may matter.
Establishing an integrated human milk banking approach to strengthen newborn care
DeMarchis, A; Israel-Ballard, K; Mansen, Kimberly Amundson; Engmann, C
2017-01-01
The provision of donor human milk can significantly reduce morbidity and mortality among vulnerable infants and is recommended by the World Health Organization as the next best option when a mother's own milk is unavailable. Regulated human milk banks can meet this need, however, scale-up has been hindered by the absence of an appropriate model for resource-limited settings and a lack of policy support for human milk banks and for the operational procedures supporting them. To reduce infant mortality, human milk banking systems need to be scaled up and integrated with other components of newborn care. This article draws on current guidelines and best practices from human milk banks to offer a compilation of universal requirements that provide a foundation for an integrated model of newborn care that is appropriate for low- and high-resource settings alike. PMID:27831549
Development of the AFRL Aircrew Perfomance and Protection Data Bank
2007-12-01
Growth model and statistical model of hypobaric chamber simulations. It offers a quick and readily accessible online DCS risk assessment tool for...are used for the DCS prediction instead of the original model. ADRAC is based on more than 20 years of hypobaric chamber studies using human...prediction based on the combined Bubble Growth model and statistical model of hypobaric chamber simulations was integrated into the Data Bank. It
12 CFR Appendix H to Part 226 - Closed-End Model Forms and Clauses
Code of Federal Regulations, 2011 CFR
2011-01-01
... 12 Banks and Banking 3 2011-01-01 2011-01-01 false Closed-End Model Forms and Clauses H Appendix H... RESERVE SYSTEM TRUTH IN LENDING (REGULATION Z) Pt. 226, App. H Appendix H to Part 226— Closed-End Model Forms and Clauses H-1Credit Sale Model Form (§ 226.18) H-2Loan Model Form (§ 226.18) H-3Amount Financed...
12 CFR Appendix C to Part 41 - Model Forms for Opt-Out Notices
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 1 2012-01-01 2012-01-01 false Model Forms for Opt-Out Notices C Appendix C to... Pt. 41, App. C Appendix C to Part 41—Model Forms for Opt-Out Notices a. Although use of the model... comply with § 41.23(a)(2) of this part. C-1 Model Form for Initial Opt-out Notice (Single-Affiliate...
12 CFR Appendix C to Part 41 - Model Forms for Opt-Out Notices
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 1 2010-01-01 2010-01-01 false Model Forms for Opt-Out Notices C Appendix C to... Pt. 41, App. C Appendix C to Part 41—Model Forms for Opt-Out Notices a. Although use of the model... comply with § 41.23(a)(2) of this part. C-1 Model Form for Initial Opt-out Notice (Single-Affiliate...
Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations.
Cheng, Wei; Zhang, Kai; Chen, Haifeng; Jiang, Guofei; Chen, Zhengzhang; Wang, Wei
2016-08-01
Modern world has witnessed a dramatic increase in our ability to collect, transmit and distribute real-time monitoring and surveillance data from large-scale information systems and cyber-physical systems. Detecting system anomalies thus attracts significant amount of interest in many fields such as security, fault management, and industrial optimization. Recently, invariant network has shown to be a powerful way in characterizing complex system behaviours. In the invariant network, a node represents a system component and an edge indicates a stable, significant interaction between two components. Structures and evolutions of the invariance network, in particular the vanishing correlations, can shed important light on locating causal anomalies and performing diagnosis. However, existing approaches to detect causal anomalies with the invariant network often use the percentage of vanishing correlations to rank possible casual components, which have several limitations: 1) fault propagation in the network is ignored; 2) the root casual anomalies may not always be the nodes with a high-percentage of vanishing correlations; 3) temporal patterns of vanishing correlations are not exploited for robust detection. To address these limitations, in this paper we propose a network diffusion based framework to identify significant causal anomalies and rank them. Our approach can effectively model fault propagation over the entire invariant network, and can perform joint inference on both the structural, and the time-evolving broken invariance patterns. As a result, it can locate high-confidence anomalies that are truly responsible for the vanishing correlations, and can compensate for unstructured measurement noise in the system. Extensive experiments on synthetic datasets, bank information system datasets, and coal plant cyber-physical system datasets demonstrate the effectiveness of our approach.
Rasch Measurement and Item Banking: Theory and Practice.
ERIC Educational Resources Information Center
Nakamura, Yuji
The Rasch Model is an item response theory, one parameter model developed that states that the probability of a correct response on a test is a function of the difficulty of the item and the ability of the candidate. Item banking is useful for language testing. The Rasch Model provides estimates of item difficulties that are meaningful,…
USDA-ARS?s Scientific Manuscript database
Classical, one-dimensional, mobile bed, sediment-transport models simulate vertical channel adjustment, raising or lowering cross-section node elevations to simulate erosion or deposition. This approach does not account for bank erosion processes including toe scour and mass failure. In many systems...
Chung, Namho; Kwon, Soon Jae
2009-10-01
While mobile banking has become an integral part of banking activities, it has also caused systems-related stress and consequent distrust among mobile banking users. This study looks into the phenomenon of technology adoption for mobile banking users and identifies potential factors that nurture positive intentions toward mobile banking usage. It examines the effects of a customer's mobile experience and technical support on mobile banking acceptance and explains how some variables affect this intention. After a literature review, the method of empirical analysis using a structured questionnaire is developed. Hierarchical Moderated Regression Analyses (HMRA) is used to examine the model. We find that mobile experience and technical support tend to strengthen the relationship between technological characteristics and a customer's intention to use the mobile technology.
12 CFR Appendix B to Part 230 - Model Clauses and Sample Forms
Code of Federal Regulations, 2011 CFR
2011-01-01
... for Change in Terms (Section 230.5(a)) B-3—Model Clauses for Pre-Maturity Notices for Time Accounts... avoid imposition of a fee will increase to $___. B-3—Model Clauses for Pre-Maturity Notices for Time... 12 Banks and Banking 3 2011-01-01 2011-01-01 false Model Clauses and Sample Forms B Appendix B to...
12 CFR Appendix G to Part 226 - Open-End Model Forms and Clauses
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 3 2013-01-01 2013-01-01 false Open-End Model Forms and Clauses G Appendix G... RESERVE SYSTEM (CONTINUED) TRUTH IN LENDING (REGULATION Z) Pt. 226, App. G Appendix G to Part 226—Open-End Model Forms and Clauses G-1Balance Computation Methods Model Clauses (Home-equity Plans) (§§ 226.6 and...
Fostering public cord blood banking and research in Canada.
Isasi, Rosario; Dalpe, Gratien; Knoppers, Bartha M
2013-12-01
In June 2013, Canadian Blood Services (CBS) established the National Public Cord Blood Bank (NPCBB) accessible to Canadian and international patients and researchers. The NPCBB promotes efforts that contribute to research and improved clinical care by making units not suitable for banking or transplantation available for research. In the context of the NPCBB of the CBS, this article will focus on the practical tools (e.g., consent protocols) developed to optimize umbilical cord blood (UCB) banking and research while enabling ethical provenance of UCB stem cells. The Canadian approach represents an ideal model for comparison as it is a country in which the national public bank (and other regional/provincial public banks) coexists with private companies.