Статті в журналах: "Regulation network"

1

Cowan, S. "Network Regulation." Oxford Review of Economic Policy 22, no. 2 (June 1, 2006): 248–59. http://dx.doi.org/10.1093/oxrep/grj015.

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2

Zhao, Ying Ding, and Xian Xia Qiao. "Review of Modeling Methods of Gene Expression Regulation Networks." Applied Mechanics and Materials 433-435 (October 2013): 783–87. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.783.

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the study of Gene expression regulation network is expected to fully disclose function and behavior of the genome from the perspective of system. Now, Gene expression regulation network construction methods include Boolean networks, linear combination, the weighted matrix, Bayesian networks and differential equation, And so on, These methods are real abstraction of gene expression regulation network at different levels. Boolean network is qualitative research network of gene expression regulating, And Differential equation is quantified to describe biological processes by detailed mathematical analysis , But the lack of ability to resist noise, Large amount of calculation and poor robust performance. Bayesian network model is a compromise between the two extreme models. construction of gene expression regulation network is the research hotspot of bioinformatics by Bayesian network.

3

Golikov, I. O., A. V. Vinogradov, V. E. Bolshev, A. V. Vinogradova, M. Jasinski, and R. R. Gibadullin. "Structure of many-level adaptive automatic voltage regulation system." E3S Web of Conferences 178 (2020): 01068. http://dx.doi.org/10.1051/e3sconf/202017801068.

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This article describes the features of voltage regulation in electrical networks of 35, 110, 220 kV. The structural diagram of the 35/10/0.4 kV network is presented. The paper also describes the adaptive automatic voltage regulation system which allows regulating the voltage taking into account the actual voltage values at the consumers’ inputs. The structural diagram of the adaptive automatic voltage regulation system in the 0.4 kV electrical network using a boost transformer as an additional means of voltage regulation is given. The system is based on voltage sensors installed in different parts of an eletcrical network sending information on voltage values to to the processing unit which generates a signal for voltage regulating supplied to the executive device and the working body whuch, in turn, change the on-load tap-changer position of a transformer. The paper justifies the need for the enhancement of the adaptive automatic voltage regulation system for different voltage classes wich allows controlling a voltage change at different power supply system levels and regulating voltage level in accordance with this change. For this problem the multi-level adaptive automatic voltage regulation systemis proposed. The system allows regulating the voltage not only in the 0.4 kV network but also in networks of higher voltage classes. The proposed system can be integrated into the structure of intelligent electrical networks.

4

Stern, P. "Subcortical Network Regulation." Science Signaling 2, no. 93 (October 20, 2009): ec342-ec342. http://dx.doi.org/10.1126/scisignal.293ec342.

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5

Gao, Xiaozhi, Jiaqi Zhang, Huiqin Sun, Yongchun Liang, Leiyuan Wei, Caihong Yan, and Yicong Xie. "A Review of Voltage Control Studies on Low Voltage Distribution Networks Containing High Penetration Distributed Photovoltaics." Energies 17, no. 13 (June 21, 2024): 3058. http://dx.doi.org/10.3390/en17133058.

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Distributed photovoltaic (PV) in the distribution network accounted for an increasing proportion of the distribution network, and the power quality of the distribution network of the power quality problem is more and more significant. In this paper, the voltage regulation methods for low-voltage distribution networks containing high-penetration PV are investigated. First, the working principles of the four voltage control methods are introduced: energy storage system configuration, regulating the reactive power output of PV inverters, restricting the active power output of PV, adjusting the switching positions of on-load regulator trap changer and distribution network reconfiguration, and then, in combination with the recent related research, the optimization of each method is compared horizontally with its respective concerns and characteristics. The optimization of each method is compared horizontally with the recent studies to find out the focus and characteristics of each method, and the shortcomings of each method are explored. Coordinated voltage control through multiple flexibility resources has become the mainstream voltage regulation scheme, and distribution network voltage regulation is considered from the perspective of flexibility resources. The three types of flexibility resources, namely, source, network, and storage, have been widely used in distribution network voltage regulation. Although load-side resources have become one of the main regulation resources of the new type of power system, the current study introduces less about the participation of load-side flexibility resources in voltage regulation of LV distribution networks and advancing the application of load-side resources in voltage regulation of LV distribution networks is the focus of future research. Then, the important role of load-side flexibility resources in voltage regulation is described in three parts, namely, the important role of load-side resources, the development trend, and the suggestions for promoting the coordination of source-network-load-storage flexibility resources, aiming to promote the application of load-side resources in voltage regulation in LV distribution networks, and the suggestions and programs are proposed for the technological challenges faced by voltage regulation. In the context of today’s new power system emphasizing the interaction of source, network, load, and storage, new technologies and methods for solving voltage problems in LV distribution networks are prospected, with a view to providing certain reference value for the actual operation and optimization of distribution network systems.

6

TUĞRUL, MURAT, and ALKAN KABAKÇIOĞLU. "ROBUSTNESS OF TRANSCRIPTIONAL REGULATION IN YEAST-LIKE MODEL BOOLEAN NETWORKS." International Journal of Bifurcation and Chaos 20, no. 03 (March 2010): 929–35. http://dx.doi.org/10.1142/s0218127410026228.

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We investigate the dynamical properties of the transcriptional regulation of gene expression in the yeast Saccharomyces Cerevisiae within the framework of a synchronously and deterministically updated Boolean network model. With a dynamically determinant subnetwork, we explore the robustness of transcriptional regulation as a function of the type of Boolean functions used in the model that mimic the influence of regulating agents on the transcription level of a gene. We compare the results obtained for the actual yeast network with those from two different model networks, one with similar in-degree distribution as the yeast and otherwise random, and another due to Balcan et al., where the global topology of the yeast network is reproduced faithfully. We, surprisingly, find that the first set of model networks better reproduce the results found with the actual yeast network, even though the Balcan et al. model networks are structurally more similar to that of yeast.

7

Zheng, Boqian. "Research on Criminal Law Regulation of Network Violence." Journal of Education, Humanities and Social Sciences 24 (December 31, 2023): 861–66. http://dx.doi.org/10.54097/5z5m6w14.

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Network violence is not a legal concept, in the existing law s and regulations and normative documents, guiding documents lac k of connotation and extension of the concept of network violence provisions, also lack of a normative way to list. This paper analyzes the characteristics of network violence, studies the applicable charges and criminal standards, as well as the regulation of criminal law on network violence. First of all, cyber violence has specific characteristics, including anonymity, dissemination and aggression. Secondly, for different types of cyber violence, different charges and criminal standards should be adopted in order to better punish criminal acts. Finally, criminal law can play an important role in regulating cyber violence. Clear legal provisions and corresponding penalties can effectively deter cyber violence. Therefore, this paper puts forward suggestions to further strengthen the regulation of network violence in criminal law. With scientific legislation as the core, it puts forward ideas such as adding the charges of network violence c rime, reasonable classification and different sentencing, and including the crime of network violence in public prosecution.

8

Davey, Stephen G. "A reaction regulation network." Nature Reviews Chemistry 3, no. 11 (October 16, 2019): 623. http://dx.doi.org/10.1038/s41570-019-0144-9.

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9

Остапенко, Г. А., Д. В. Щербакова, Т. Ю. Мирошниченко, А. А. Остапенко, and А. Г. Краснобородкин. "ORGANIZATIONAL AND LEGAL PROTECTION AGAINST NETWORK ATTACKS: METHODS FOR FORMING PRIVATE POLICIES, REGULATIONS AND INSTRUCTIONS TO ENSURE ORGANIZATION SECURITY (PART II)." ИНФОРМАЦИЯ И БЕЗОПАСНОСТЬ 26, no. 3(-) (October 30, 2023): 341–58. http://dx.doi.org/10.36622/vstu.2023.26.3.018.

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Предлагается методическое обеспечение для формирования частных регламентов защиты корпоративных сетей. Представляемая методология создания частных регламентов направлена на процесс управления инцидентами нарушения безопасности, возникающие вследствие реализации различных типов сетевых атак. Частные регламенты включают в себя: регламент обнаружения и регистрации инцидентов нарушения сетевой безопасности, регламент реагирования на инциденты нарушения сетевой безопасности, регламент ликвидации последствий инцидентов нарушения сетевой безопасности. Приведенная методика по построению регламентов позволяет классифицировать инциденты нарушения безопасности, учитывая их уровень критичности и приоритет, также определяет механизмы регистрации. Представлен алгоритм по реагированию на инциденты и по выявлению и ликвидации негативных последствий, вызванных инцидентами. Proposed methodological support for the formation of private regulations for the protection of corporate networks of the organization. The presented methodology for creating private regulations is aimed at managing incidents of security breaches arising from the implementation of various types of network attacks. Private regulations include: the regulation for detecting and registering incidents of network security violations, the regulation for responding to incidents of network security violations, the regulation for eliminating the consequences of incidents of network security violations. The above methodology for the construction of regulations allows classifying security breach incidents, taking into account their level of criticality and priority, and also determines the registration mechanisms. An algorithm for responding to incidents and for identifying and eliminating the negative consequences caused by incidents is presented.

10

Kou, Gang, Xiangrui Chao, Yi Peng, and Fan Wang. "NETWORK RESILIENCE IN THE FINANCIAL SECTORS: ADVANCES, KEY ELEMENTS, APPLICATIONS, AND CHALLENGES FOR FINANCIAL STABILITY REGULATION." Technological and Economic Development of Economy 28, no. 2 (March 28, 2022): 531–58. http://dx.doi.org/10.3846/tede.2022.16500.

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Security against systemic financial risks is the main theme for financial stability regulation. As modern financial markets are highly interconnected and complex networks, their network resilience is an important indicator of the ability of the financial system to prevent risks. To provide a comprehensive perspective on the network resilience of financial networks, we review the main advances in the literature on network resilience and financial networks. Further, we review the key elements and applications of financial network resilience processing in financial regulation, including financial network information, network resilience measures, financial regulatory technologies, and regulatory applications. Finally, we discuss ongoing challenges and future research directions from the perspective of resilience-based financial systemic risk regulation.

11

Astashev, Mikhail G., Artem S. Vanin, Vladimir M. Korolev, Dmitriy I. Panfilov, Pavel A. Rashitov, and Vladimir N. Tulskii. "Assessment of the Technical and Economic Effect from Using Automatic Voltage Control Devices on 10/0.4 kV Transformers in Power Distribution Networks." Vestnik MEI, no. 5 (2021): 27–36. http://dx.doi.org/10.24160/1993-6982-2021-5-27-36.

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The article addresses the problem of ensuring permissible voltage levels in distribution electrical networks of various types: distribution networks of large cities, regional distribution electrical networks, and distribution electrical networks containing renewable energy sources. The most typical factors causing the voltage to go beyond the permissible limits specified by the relevant regulatory documents are pointed out. The negative factors conducive to the voltage at the consumer end deviating from the permissible limits, including a long length of network lines, high network load, low controllability of the network, load schedule nonuniformity, and poor observability of the network, are analyzed. The existing principles of voltage control in electrical distribution networks, namely, automatic and seasonal regulation, are studied. A distribution electrical network test model representing a real network fragment is developed. The model operation modes have been verified based on the data of measurements carried out in the original distribution electrical network. The voltage distributions in a medium voltage network during its operation under the conditions of the highest and lowest loads are demonstrated. It is shown, on the test model example, how the network voltage can be controlled by automatically regulating the voltage at the power supply center and selecting a fixed position of the NLTC at 10/0.4 kV transformer substations. It is shown that the use of power transformer OLTCs does not ensure sufficient means for adequately controlling the voltage in networks containing long power lines and featuring highly nonuniform seasonal and daily load schedules. The technical efficiency and economic feasibility of using automatic voltage regulation devices on 10/0.4 kV transformers for local voltage control are analyzed. The economic efficiency of applying automatic voltage regulation devices at 6--10/0.4 kV substations was evaluated in comparison with other means for improving the power distribution network voltage quality by upgrading the 10 kV feeder lines or installing a voltage booster at the inlet to the problematic 10 kV network section. The application field of automatic voltage regulators in the form of semiconductor devices for regulating the transformer output voltage at distribution transformer substations is shown.

12

Brynildsen, M. P., W. W. Wong, and J. C. Liao. "Transcriptional regulation and metabolism." Biochemical Society Transactions 33, no. 6 (October 26, 2005): 1423–26. http://dx.doi.org/10.1042/bst0331423.

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Understanding organisms from a systems perspective is essential for predicting cellular behaviour as well as designing gene-metabolic circuits for novel functions. The structure, dynamics and interactions of cellular networks are all vital components of systems biology. To facilitate investigation of these aspects, we have developed an integrative technique called network component analysis, which utilizes mRNA expression and transcriptional network connectivity to determine network component dynamics, functions and interactions. This approach has been applied to elucidate transcription factor dynamics in Saccharomyces cerevisiae cell-cycle regulation, detect cross-talks in Escherichia coli two-component signalling pathways, and characterize E. coli carbon source transition. An ultimate test of system-wide understanding is the ability to design and construct novel gene-metabolic circuits. To this end, artificial feedback regulation, cell–cell communication and oscillatory circuits have been constructed, which demonstrate the design principles of gene-metabolic regulation in the cell.

13

Somvanshi, Pramod R., Anilkumar K. Patel, Sharad Bhartiya, and K. V. Venkatesh. "Influence of plasma macronutrient levels on hepatic metabolism: role of regulatory networks in homeostasis and disease states." RSC Advances 6, no. 17 (2016): 14344–71. http://dx.doi.org/10.1039/c5ra18128c.

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Multilevel regulations by metabolic, signaling and transcription pathways form a complex network that works to provide robust metabolic regulation in the liver. This analysis indicates that dietary perturbations in these networks can lead to insulin resistance.

14

Picton, Laurence D., HongYan Zhang, and Keith T. Sillar. "Sodium pump regulation of locomotor control circuits." Journal of Neurophysiology 118, no. 2 (August 1, 2017): 1070–81. http://dx.doi.org/10.1152/jn.00066.2017.

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Sodium pumps are ubiquitously expressed membrane proteins that extrude three Na+ ions in exchange for two K+ ions, using ATP as an energy source. Recent studies have illuminated additional, dynamic roles for sodium pumps in regulating the excitability of neuronal networks in an activity-dependent fashion. We review their role in a novel form of short-term memory within rhythmic locomotor networks. The data we review derives mainly from recent studies on Xenopus tadpoles and neonatal mice. The role and underlying mechanisms of pump action broadly match previously published data from an invertebrate, the Drosophila larva. We therefore propose a highly conserved mechanism by which sodium pump activity increases following a bout of locomotion. This results in an ultraslow afterhyperpolarization (usAHP) of the membrane potential that lasts around 1 min, but which only occurs in around half the network neurons. This usAHP in turn alters network excitability so that network output is reduced in a locomotor interval-dependent manner. The pumps therefore confer on spinal locomotor networks a temporary memory trace of recent network performance.

15

MARTINIUS, Evelijn, and Ellen MASTENBROEK. "Fit for purpose? Assessing Collaborative Innovation in the European Network for Prosecutors for the Environment." European Journal of Risk Regulation 10, no. 3 (September 2019): 485–501. http://dx.doi.org/10.1017/err.2019.45.

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European Administrative Networks are expected to strengthen the national enforcement of European legislation. The idea is that these networks organise national civil servants, and allow them to exchange best practices, negotiate guidelines and develop inventive solutions to common challenges faced during the implementation and enforcement of European Union regulations. This paper proposes a framework to evaluate European Administrative Networks on their potential to spur collaborative innovation concerning national enforcement of this common regulation. The framework is then applied to a particular network, the European Network for Prosecutors of the Environment. Results show that this network can be considered a resource for collaborative innovation.

16

Solo, Ashu M. G., and Jonathan Bishop. "Network Politics and the Arab Spring." International Journal of Civic Engagement and Social Change 3, no. 1 (January 2016): 23–27. http://dx.doi.org/10.4018/ijcesc.2016010102.

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Network politics is examined in the context of the Arab Spring. Network politics refers to politics and networks. These networks include the Internet, private networks, cellular networks, telephone networks, radio networks, television networks, etc. Network politics includes the applications of networks to enable one or more individuals or organizations to engage in political communication. Furthermore, network politics includes government regulation of networks. Finally, network politics includes the accompanying issues that arise when networks are used for political communication or when there is government regulation of networks. The domain of network politics includes, but is not limited to, e-politics (social networking for driving revolutions and organizing protests, online petitions, political blogs and vlogs, whistleblower websites, online campaigning, e-participation, virtual town halls, e-voting, Internet freedom, access to information, net neutrality, etc.) and applications of other networks in politics (robocalling, text messaging, TV broadcasting, etc.). Network politics has played a crucial role in the Arab Spring.

17

Vis, Daniel J., Johan A. Westerhuis, Huub C. J. Hoefsloot, Ferdinand Roelfsema, Jan van der Greef, Margriet M. W. B. Hendriks, and Age K. Smilde. "Network Identification of Hormonal Regulation." PLoS ONE 9, no. 5 (May 22, 2014): e96284. http://dx.doi.org/10.1371/journal.pone.0096284.

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18

Luscombe, Nicholas. "Transcription regulation: a genomic network." BMC Bioinformatics 6, Suppl 3 (2005): S1. http://dx.doi.org/10.1186/1471-2105-6-s3-s1.

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19

Willems, Bert, and Gijsbert Zwart. "Optimal regulation of network expansion." RAND Journal of Economics 49, no. 1 (February 9, 2018): 23–42. http://dx.doi.org/10.1111/1756-2171.12217.

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20

Ho, Joshua W. K., and Michael A. Charleston. "Network modelling of gene regulation." Biophysical Reviews 3, no. 1 (December 23, 2010): 1–13. http://dx.doi.org/10.1007/s12551-010-0041-4.

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21

Roman, J., T. Gomez, A. Munoz, and J. Peco. "Regulation of distribution network business." IEEE Transactions on Power Delivery 14, no. 2 (April 1999): 662–69. http://dx.doi.org/10.1109/61.754115.

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22

Loschke, Fanny, Kristin Seltmann, Jamal-Eddine Bouameur, and Thomas M. Magin. "Regulation of keratin network organization." Current Opinion in Cell Biology 32 (February 2015): 56–64. http://dx.doi.org/10.1016/j.ceb.2014.12.006.

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23

Anda-Jáuregui, Guillermo de, Jesús Espinal-Enríquez, Santiago Sandoval-Motta, and Enrique Hernández-Lemus. "A Boolean Network Approach to Estrogen Transcriptional Regulation." Complexity 2019 (May 22, 2019): 1–10. http://dx.doi.org/10.1155/2019/8740279.

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Gene expression governs important biological processes such as the cell’s growth cycle and its response to environmental signals. Alterations of this complex network of transcriptional interactions often lead to unstable expression states and disease. Estrogen is a sex hormone known for its roles in cell proliferation. Its expression has been involved in several physiological functions such as regulating the menstrual and reproduction cycles in women. Altered expression states where estrogen levels are atypically high have been associated with an increased incidence of breast, ovarian, and cervix cancer. To better understand the implications of deregulation of the estrogen and estrogen receptor regulatory networks, in this work we generated a dynamical model of gene regulation of the estrogen receptor transcription network based on known regulatory interactions. By using an adaptation to classical Boolean Networks dynamics we identified proliferative and antiproliferative gene expression states of the network and also to identify key players that promote these altered states when perturbed. We also modeled how pairwise gene alterations may contribute to shifts between these two proliferative states and found that the coordinated subexpression of E2F1 and SMAD4 is the most important combination in terms of promoting proliferative states in the network.

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Savtchenko, Leonid P., and Dmitri A. Rusakov. "Regulation of rhythm genesis by volume-limited, astroglia-like signals in neural networks." Philosophical Transactions of the Royal Society B: Biological Sciences 369, no. 1654 (October 19, 2014): 20130614. http://dx.doi.org/10.1098/rstb.2013.0614.

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Rhythmic activity of the brain often depends on synchronized spiking of interneuronal networks interacting with principal neurons. The quest for physiological mechanisms regulating network synchronization has therefore been firmly focused on synaptic circuits. However, it has recently emerged that synaptic efficacy could be influenced by astrocytes that release signalling molecules into their macroscopic vicinity. To understand how this volume-limited synaptic regulation can affect oscillations in neural populations, here we explore an established artificial neural network mimicking hippocampal basket cells receiving inputs from pyramidal cells. We find that network oscillation frequencies and average cell firing rates are resilient to changes in excitatory input even when such changes occur in a significant proportion of participating interneurons, be they randomly distributed or clustered in space. The astroglia-like, volume-limited regulation of excitatory synaptic input appears to better preserve network synchronization (compared with a similar action evenly spread across the network) while leading to a structural segmentation of the network into cell subgroups with distinct firing patterns. These observations provide us with some previously unknown insights into the basic principles of neural network control by astroglia.

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Stocker, Volker, and Guenter Knieps. "Network Neutrality Through the Lens of Network Economics." Review of Network Economics 17, no. 3 (September 25, 2018): 115–50. http://dx.doi.org/10.1515/rne-2019-0025.

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Abstract Network neutrality for the Internet has been a fiercely debated topic for more than 15 years. Arguably spurred by recent regulatory actions in the US and the tremendous ecosystem evolution as characterized by the emergence and growing importance of global cloud platforms as well as the Internet of Things, the debate has recently seen a resurgence. This paper describes the origins and development of the regulatory stance towards network neutrality in the US and the EU. Against the background of the diverse evolutionary forces that shape the ecosystem, we examine network neutrality regulation through the lens of network economics. In doing so, we describe a series of challenges and misconceptions associated with current regulations and expound the requirement for a market-driven understanding of network neutrality.

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Altman, Eitan, Manjesh Kumar Hanawal, and Rajesh Sundaresan. "Regulation of Off-Network Pricing in a Nonneutral Network." ACM Transactions on Internet Technology 14, no. 2-3 (October 28, 2014): 1–21. http://dx.doi.org/10.1145/2663491.

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27

Chou, Porchiung Ben, Michael A. Ehrlich, and Ronald Sverdlove. "Efficiency, stability, and government regulation of risk-sharing financial networks." Managerial Finance 45, no. 6 (June 10, 2019): 760–80. http://dx.doi.org/10.1108/mf-06-2018-0287.

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Purpose By applying models of social and economic networks to financial institutions, the purpose of this paper is to address the issues of how policy makers can promote financial network stability and social efficiency. Design/methodology/approach The authors characterize the decentralized network formation of financial institutions in three stages through which institutions choose to become member banks connected to a central bank, bank-holding company subsidiaries or non-banks. Financial institutions choose one of the three roles in an endogenous process by considering the effects of sharing shocks among the members of the network. In the model, there is a social-welfare-maximizing government regulator at the center of the network. Findings The authors show that the stable equilibrium network is not always the efficient network, so the central authority must use policy instruments to ensure that the stable equilibrium network is as close as possible to the efficient network. Research limitations/implications To obtain the theoretical results, the authors make assumptions about the utility function and risk aversion of a financial institution, as well as about the costs of network formation. These assumptions might need to be relaxed to bring the model closer to real-world institutions. Practical implications The results suggest that regulators must try to set their policy variables to make the efficient network as close as possible to the stable network. Originality/value The contribution is to incorporate concepts from social network theory into the modeling of financial networks. The results may be of use to regulators in maintaining the stability of the financial system.

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Stepanenko, Irina L. "Reactive oxygen species regulate gene networks of stress response." Ecological genetics 2, no. 1 (March 15, 2004): 4–12. http://dx.doi.org/10.17816/ecogen214-12.

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The GeneNet (gnw/genenet/) accumulate information on reactive oxygen species (ROS) signals and reduction/oxidation (redox) regulation of transcription factors. Redox-regulation gene network is the adaptation to oxidative stress and integrative system of local gene networks via key transcription factors. The cross-talk of signals and the interference of gene networks occur in the integrative gene network

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Chao-Hsien Hsieh, Chao-Hsien Hsieh, Xinyu Yao Chao-Hsien Hsieh, Ziyi Wang Xinyu Yao, and Hongmei Wang Ziyi Wang. "Efficient Predictive Regulation Algorithms for AGV System in Industrial Internet." 網際網路技術學刊 25, no. 3 (May 2024): 387–401. http://dx.doi.org/10.53106/160792642024052503005.

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<p>In recent years, the industrial Internet has developed rapidly. In order to improve the reliability, real-time, and economy, Automated Guided Vehicle (AGV) in intelligent manufacturing system becomes an indispensable technology. However, the current AGV system relies too much on the fixed network bandwidth environment in information transmission and management. When the traffic demand changes frequently, this form of network configuration lacks network resource management mechanism. Further, it leads to the problems of delay, waste of network flow, and inability to dynamically allocate network resources. So it is vital to improve the AGV system. Therefore, this paper proposes three predictive control algorithms and a Network Cable Scheduling algorithm to manage the network resources. They are Markov Chain Linear Programming Regulation (MCLPR) algorithm, Prophet Linear Programming Regulation (PLPR) algorithm, and Machine Learning Linear Programming Regulation (MLLPR) algorithm. The experimental results show that PLPR and MLLPR algorithm have high efficiency in the aspect of regulation. MLLPR algorithm has the lowest cost. MLLPR algorithm has the strongest leakage limitation ability, followed by PLPR algorithm. The balance regulation efficiency of MLLPR in none “4 + 1” mode is the highest in different network cable modes.</p> <p> </p>

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Qin, Rui, Shuang Cui, Xiaokang Zhang, Peijun Shi, Shihua Zhou, and Bin Wang. "Programming DNA Reaction Networks Using Allosteric DNA Hairpins." Biomolecules 13, no. 3 (March 5, 2023): 481. http://dx.doi.org/10.3390/biom13030481.

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The construction of DNA reaction networks with complex functions using various methods has been an important research topic in recent years. Whether the DNA reaction network can perform complex tasks and be recycled directly affects the performance of the reaction network. Therefore, it is very important to design and implement a DNA reaction network capable of multiple tasks and reversible regulation. In this paper, the hairpin allosteric method was used to complete the assembly task of different functional nucleic acids. In addition, information conversion of the network was realized. In this network, multiple hairpins were assembled into nucleic acid structures with different functions to achieve different output information through the cyclic use of trigger strands. A method of single-input dual-output information conversion was proposed. Finally, the network with signal amplification and reversible regulation was constructed. In this study, the reversible regulation of different functional nucleic acids in the same network was realized, which shows the potential of this network in terms of programmability and provides new ideas for constructing complex and multifunctional DNA reaction networks.

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Xu, Wenqian, and Hongchao Hu. "Government Regulation on the Flourishing Network Audio-Visual Entrepreneurship." Journal of Media Management and Entrepreneurship 1, no. 2 (July 2019): 1–13. http://dx.doi.org/10.4018/jmme.2019070101.

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The network audio-visual entrepreneurship in China has achieved great progress and engendered conspicuous negative externalities in the early development stage. Few studies have investigated how media entrepreneurship coordinates with government regulation and the influence of government regulation on media entrepreneurship. This study aims at investigating government regulation on the flourishing network audio-visual entrepreneurship. This study performs semi-structured interviews with 14 respondents who are experienced in government regulation of the network audio-visual sector. It is found that license management and content censorship are principal approaches to regulating entrepreneurship. The media companies have been constrained by limited government support and social resources, and therefore endeavored to legitimate their business by collaborating with Internet conglomerates. Strict rules of content censorship discourage users from producing audio-visual content, and impose restrictions on Internet companies and other producers producing and displaying audio-visual content.

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Cao, Shengxian, Yu Wang, and Zhenhao Tang. "Adaptive Elman Model of Gene Regulation Network Based on Time Series Data." Current Bioinformatics 14, no. 6 (July 16, 2019): 551–61. http://dx.doi.org/10.2174/1574893614666190126145431.

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Background:Time series expression data of genes contain relations among different genes, which are difficult to model precisely. Slime-forming bacteria is one of the three major harmful bacteria types in industrial circulating cooling water systems.Objective:This study aimed at constructing gene regulation network(GRN) for slime-forming bacteria to understand the microbial fouling mechanism.Methods:For this purpose, an Adaptive Elman Neural Network (AENN) to reveal the relationships among genes using gene expression time series is proposed. The parameters of Elman neural network were optimized adaptively by a Genetic Algorithm (GA). And a Pearson correlation analysis is applied to discover the relationships among genes. In addition, the gene expression data of slime-forming bacteria by transcriptome gene sequencing was presented.Results:To evaluate our proposed method, we compared several alternative data-driven approaches, including a Neural Fuzzy Recurrent Network (NFRN), a basic Elman Neural Network (ENN), and an ensemble network. The experimental results of simulated and real datasets demonstrate that the proposed approach has a promising performance for modeling Gene Regulation Networks (GRNs). We also applied the proposed method for the GRN construction of slime-forming bacteria and at last a GRN for 6 genes was constructed.Conclusion:The proposed GRN construction method can effectively extract the regulations among genes. This is also the first report to construct the GRN for slime-forming bacteria.

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Malanchuk, T. V. "Responsibility of the social network as a distributor of commercial advertising." Legal horizons, no. 24 (2020): 41–46. http://dx.doi.org/10.21272/legalhorizons.2020.i24.p41.

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The article examines the limits of state participation and the impact of legal regulation on the development of the Internet in general and social networks in particular. An attempt is made to determine the nature and extent of regulation of the dissemination of information through social networks, as well as the feasibility of control over cyberspace by the state. An analysis of existing legal norms on the regulation of advertising on the Internet, taking into account the peculiarities of advertising on social networks. It is established that today Internet advertising, including advertising on social networks, has become the most popular and effective way to convey information about goods or services to their potential consumers. Recent developments related to the introduction of quarantine measures due to the COVID-19 pandemic have led to an even greater intensification of e-commerce and the transition of traditional online business. As a result, the volume of advertising campaigns on social networks has grown significantly, and advertising itself has become more aggressive. It is noted that among the main general theoretical issues in the study of legal regulation of the global information system it is necessary to highlight the problems of jurisdiction of networks, as well as the legal personality of persons who provide, distribute and consume information in such networks. At the same time, no country in the world has comprehensive (codified) legislation that would regulate relations on the Internet. Existing regulations regulate only private aspects of network operation. Currently, each social network is governed solely by its own established rules. It is concluded that the legal norms governing traditional advertising are ineffective in advertising on networks. We believe that the interests of the state in the research area should be limited, first of all, to creating conditions for the harmonious development of information infrastructure, realization of constitutional rights and freedoms of man and citizen in obtaining and using information, unconditional law and order, development of equal and mutually beneficial international cooperation.

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Maataoui, Yassir, Omar Boutfarjoute, Hamid Chekenbah, and Rafik Lasri. "New control scheme of on-load tap changer for voltage regulation in active distribution systems using Fuzzy logic." ITM Web of Conferences 48 (2022): 04001. http://dx.doi.org/10.1051/itmconf/20224804001.

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This research presents a new voltage regulation philosophy that enhances the voltage magnitude in a power distribution network where distributed generation (DG) is prevalent. Voltage regulation in power distribution networks relies heavily on the On-Load Tap-Changer (OLTC) installed in power transformers. Since it was designed for networks without DG, the OLTC's current voltage regulation scheme uses a fixed reference voltage and hence cannot regulate voltage in a distribution network. Therefore, the proposed novel system-based Fuzzy logic will compute a new set point voltage that the OLTC must follow to mitigate the undesirable DG impact on the voltage profile. The suggested system is evaluated on Morocco's MATLAB/Simulink-built 20kV distribution network.

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Voevoda, Aleksander, and Victor Shipagin. "Structural transformations of a neural network controller with a recurrent network type." Transaction of Scientific Papers of the Novosibirsk State Technical University, no. 3 (November 18, 2020): 7–16. http://dx.doi.org/10.17212/2307-6879-2020-3-7-16.

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The complexity of the objects of regulation, as well as the increase in the requirements for the productivity of the applied regulators, leads to the complexity of the applied neural network regulators. One of the complications is the appearance of feedback loops in the regulator. That is, the transition from direct distribution networks to re-current ones. One of the problems when using them is setting up weight coefficients using methods based on gradient calculation (for example, the error propagation method, the Levenberg-Marquardt method, etc.). It manifests itself in a suddenly "dis-appearing" or "exploding" gradient, which means that the learning process of the net-work stops. The purpose of this article is to develop proposals for solving some problems of con-figuring the weight coefficients of a recurrent neural network. As methods for achieving this goal, structural transformations of the architecture of a recurrent neural network are used to bring it to the form of a direct distribution net-work. At the same time, there is a slight increase in the complexity of its architecture. For networks of direct distribution methods based on the computation of the inverse gradient can be used without modification. In the future, it is planned to increase the performance of regulating the system with the help of a converted neuro-regulator, namely, to reduce the over-regulation of the system and, after some complications of the structure, use it to regulate a nonlinear object.

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Sluijs, Jasper P. "Network neutrality and internal market fragmentation." Common Market Law Review 49, Issue 5 (October 1, 2012): 1647–73. http://dx.doi.org/10.54648/cola2012094.

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The debate on network neutrality concerns the ways in which Internet Service Providers (ISPs) can manage the traffic on their network, as gatekeepers of information between content providers and end-users on the Internet. The European institutions have chosen not to regulate network management by ISPs strictly, but rather have them make their network management transparent for end-users. Some Member States, however, are in the process of regulating network management beyond the transparency approach of the European framework, for instance by banning ISPs from blocking or degrading traffic on their networks. Such different regulatory approaches towards network management across borders lead to regulatory fragmentation that causes inefficiencies and threatens the Internal Market. The present research establishes the necessity for the European Institutions to counteract this regulatory fragmentation, and re-harmonize network management regulation across the EU. The core of this article then investigates whether EU law allows for such a re-harmonization effort and analyses two non-exclusive approaches to mitigate regulatory fragmentation of network management. First, the European Commission could open infringement proceedings against defecting Member States and argue that their national regulation encroaches on the independence of National Regulatory Authorities (NRAs). Second, the European Institutions could initiate harmonizing legislation following the Article 114 TFEU procedure-which will likely be upheld when challenged before the European Courts.

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Lattanzi, Roberta, and Rossella Miele. "Prokineticin-Receptor Network: Mechanisms of Regulation." Life 12, no. 2 (January 25, 2022): 172. http://dx.doi.org/10.3390/life12020172.

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Prokineticins are a new class of chemokine-like peptides that bind their G protein-coupled receptors, PKR1 and PKR2, and promote chemotaxis and the production of pro-inflammatory cytokines following tissue injury or infection. This review summarizes the major cellular and biochemical mechanisms of prokineticins pathway regulation that, like other chemokines, include: genetic polymorphisms; mRNA splice modulation; expression regulation at transcriptional and post-transcriptional levels; prokineticins interactions with cell-surface glycosaminoglycans; PKRs degradation, localization, post-translational modifications and oligomerization; alternative signaling responses; binding to pharmacological inhibitors. Understanding these mechanisms, which together exert substantial biochemical control and greatly enhance the complexity of the prokineticin-receptor network, leads to novel opportunities for therapeutic intervention. In this way, besides targeting prokineticins or their receptors directly, it could be possible to indirectly influence their activity by modulating their expression and localization or blocking the downstream signaling pathways.

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Siskind, Gregory W., and Eduardo Arreaza. "Network Regulation of the Immune Response." Allergy and Asthma Proceedings 10, no. 6 (November 1, 1989): 387–91. http://dx.doi.org/10.2500/108854189778935872.

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Marsden, Christopher Thomas. "Network Neutrality: History, Regulation and Future." IDP Revista de Internet Derecho y Política, no. 13 (March 7, 2012): 24. http://dx.doi.org/10.7238/idp.v0i13.1394.

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40

Shapiro, R. B., and P. N. Ossorio. "Regulation of Online Social Network Studies." Science 339, no. 6116 (January 10, 2013): 144–45. http://dx.doi.org/10.1126/science.1219025.

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41

Stocker, Volker, Georgios Smaragdakis, and William Lehr. "The state of network neutrality regulation." ACM SIGCOMM Computer Communication Review 50, no. 1 (March 23, 2020): 45–59. http://dx.doi.org/10.1145/3390251.3390258.

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42

Kondo, Norihiko, Hajime Nakamura, Hiroshi Masutani, and Junji Yodoi. "Redox Regulation of Human Thioredoxin Network." Antioxidants & Redox Signaling 8, no. 9-10 (September 2006): 1881–90. http://dx.doi.org/10.1089/ars.2006.8.1881.

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43

McHardy, Jolian, Michael Reynolds, and Stephen Trotter. "Network interconnectivity with competition and regulation." Transportation Research Part A: Policy and Practice 47 (January 2013): 97–110. http://dx.doi.org/10.1016/j.tra.2012.10.026.

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PENG, Jiu-sheng, and Xiong-jian LIANG. "Content delivery network and its regulation." Journal of China Universities of Posts and Telecommunications 13, no. 4 (December 2006): 98–101. http://dx.doi.org/10.1016/s1005-8885(07)60043-0.

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Tangerås, Thomas P., and Joacim Tåg. "International network competition under national regulation." International Journal of Industrial Organization 47 (July 2016): 152–85. http://dx.doi.org/10.1016/j.ijindorg.2016.04.006.

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Dhall, D. P., and C. H. Nair. "Fibrin network structure and its regulation." Fibrinolysis 4 (January 1990): 6. http://dx.doi.org/10.1016/0268-9499(90)90041-h.

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Amann, Kurt J., and Thomas D. Pollard. "Cellular regulation of actin network assembly." Current Biology 10, no. 20 (October 2000): R728—R730. http://dx.doi.org/10.1016/s0960-9822(00)00751-x.

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48

Knieps, Günter, and Patrick Zenhäusern. "The Fallacies of Network Neutrality Regulation." Competition and Regulation in Network Industries 9, no. 2 (June 2008): 119–34. http://dx.doi.org/10.1177/178359170800900202.

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Gupta, Rishi R., and Luke E. K. Achenie. "A network model for gene regulation." Computers & Chemical Engineering 31, no. 8 (August 2007): 950–61. http://dx.doi.org/10.1016/j.compchemeng.2006.08.008.

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Maruta, Hiroshi, and Antony W. Burgess. "Regulation of the ras signalling network." BioEssays 16, no. 7 (July 1994): 489–96. http://dx.doi.org/10.1002/bies.950160708.

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