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Journal articles on the topic 'Network’s role'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Anthias, Taf, and Krishna Sankar. "The Network’s New Role." Queue 4, no. 4 (2006): 38–46. http://dx.doi.org/10.1145/1142055.1142069.

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Munusamy, Nagarajan, Sneha Vijayan, and M. Ezhilarasi. "Role of Clustering, Routing Protocols, MAC protocols and Load Balancing in Wireless Sensor Networks: An Energy-Efficiency Perspective." Cybernetics and Information Technologies 21, no. 2 (2021): 136–65. http://dx.doi.org/10.2478/cait-2021-0024.

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Abstract Wireless networks play an important role in science, including medicine, agriculture, the military, geography, and so on. The main issue with a network of wireless sensors is how to manage resource utilization to extend its lifetime. This paper investigates the various aspects of increased energy usage that may improve network life. Variables related to energy consumption and various performance metrics are investigated in terms of energy efficiency. To investigate how the network’s energy usage can be managed, a quick overview of clustering protocols, routing protocols, MAC protocols

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Satpute, Ajay B., and Kristen A. Lindquist. "The Default Mode Network’s Role in Discrete Emotion." Trends in Cognitive Sciences 23, no. 10 (2019): 851–64. http://dx.doi.org/10.1016/j.tics.2019.07.003.

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Rodriguez, Nathaniel, Eduardo Izquierdo, and Yong-Yeol Ahn. "Optimal modularity and memory capacity of neural reservoirs." Network Neuroscience 3, no. 2 (2019): 551–66. http://dx.doi.org/10.1162/netn_a_00082.

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The neural network is a powerful computing framework that has been exploited by biological evolution and by humans for solving diverse problems. Although the computational capabilities of neural networks are determined by their structure, the current understanding of the relationships between a neural network’s architecture and function is still primitive. Here we reveal that a neural network’s modular architecture plays a vital role in determining the neural dynamics and memory performance of the network of threshold neurons. In particular, we demonstrate that there exists an optimal modulari

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Makarova, M. N., and A. K. Lebedeva. "THE ROLE OF LEADERSHIP AND SOCIAL TIES IN THE DEVELOPMENT OF HUMAN CAPITAL." Вестник Удмуртского университета. Социология. Политология. Международные отношения 3, no. 2 (2019): 139–47. http://dx.doi.org/10.35634/2587-9030-2019-3-2-139-147.

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The sociological aspects of studying human capital, leadership and social ties, are considered in this article. Sociological theories of human capital consider it in its connection with social capital that can be defined as an engagement in social relations, units and networks giving one some benefits. Social ties are the resource of development of human capital. The article shows that human capital can be evaluated from sociological perspective through the role of a creative class and new forms of ties that constitute integration on the intergroup level (weak ties). Such forms of communicatio

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Johns, Matthew C., Ronald L. Burke, Kelly G. Vest, et al. "A growing global network’s role in outbreak response: AFHSC-GEIS 2008-2009." BMC Public Health 11, Suppl 2 (2011): S3. http://dx.doi.org/10.1186/1471-2458-11-s2-s3.

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Reay, Lizz, and Penny Burns. "The Role of Primary Health Networks and General Practitioners in Disasters: Nepean Blue Mountains Primary Health Network’s Preparedness Guide." Prehospital and Disaster Medicine 34, s1 (2019): s67. http://dx.doi.org/10.1017/s1049023x19001481.

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Introduction:Disasters are part of the Australian landscape. Bushfires, floods, cyclones, and drought reoccurring consistently across the continent. Primary Health Networks (PHNs) and general practitioners (GPs) are scattered across Australia and are inevitably involved when disasters strike their local communities. Limited guidance exists to guide their systematic involvement within the broader disaster response system. In October 2013, large bushfires swept through the NSW Blue Mountains. The response was unusual in its inclusion of NSW general practice networks within the response system, m

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Hoewe, Jennifer, Kathryn Cramer Brownell, and Eric C. Wiemer. "The Role and Impact of Fox News." Forum 18, no. 3 (2020): 367–88. http://dx.doi.org/10.1515/for-2020-2014.

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Abstract Considering that cable news has become a primary source of political information for many Americans, this article examines the role and impact of Fox News in the United States, particularly as it compares to other news outlets. We begin by offering a historical analysis of Fox News’ formation and growth in popularity, including a review of existing scholarship on the network’s impact on news consumers. Prior research as well as an additional nationally-representative dataset reveals that two policy areas are particularly potent among Fox News’ consumers: immigration and climate change

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Zhao, Shu-Li, and Rong-Xia Hao. "The Generalized Connectivity of Bubble-Sort Star Graphs." International Journal of Foundations of Computer Science 30, no. 05 (2019): 793–809. http://dx.doi.org/10.1142/s0129054119500229.

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The connectivity plays an important role in measuring the fault tolerance and reliability of interconnection networks. The generalized [Formula: see text]-connectivity of a graph [Formula: see text], denoted by [Formula: see text], is an important indicator of a network’s ability for fault tolerance and reliability. The bubble-sort star graph, denoted by [Formula: see text], is a well known interconnection network. In this paper, we show that [Formula: see text] for [Formula: see text], that is, for any three vertices in [Formula: see text], there exist [Formula: see text] internally disjoint

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Fearon, Thomas, and Usha M. Rodrigues. "The dichotomy of China Global Television Network’s news coverage." Pacific Journalism Review : Te Koakoa 25, no. 1&2 (2019): 102–21. http://dx.doi.org/10.24135/pjr.v25i1.404.

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Although much is made of the universalisation of ‘US-style’ journalism around the world and Chinese journalists’ shared professional values with counterparts in liberal-democratic countries (Zhang, 2009), the effect of these trends on journalism in China is yet to be fully explored. Using the 2015 Tianjin blasts as a case study, this article investigates China Global Television Network (CGTN) and CNN International’s coverage of the disaster. The empirical study finds that despite their overlapping news values, the two networks’ opposing ideological objectives contributed to different framings

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Lee, Jay Yoon, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Tristan, and Jaime Carbonell. "Gradient-Based Inference for Networks with Output Constraints." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4147–54. http://dx.doi.org/10.1609/aaai.v33i01.33014147.

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Practitioners apply neural networks to increasingly complex problems in natural language processing, such as syntactic parsing and semantic role labeling that have rich output structures. Many such structured-prediction problems require deterministic constraints on the output values; for example, in sequence-to-sequence syntactic parsing, we require that the sequential outputs encode valid trees. While hidden units might capture such properties, the network is not always able to learn such constraints from the training data alone, and practitioners must then resort to post-processing. In this

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Abdelkader, Bouafia, and Labed Djamel. "Contribution of DGs in the stability and voltage drop reduction for future MV network in desert regions." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 2 (2020): 977. http://dx.doi.org/10.11591/ijpeds.v11.i2.pp977-987.

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<p>Day by day, the integration of decentralized generation in medium voltage networks becomes more important during the last years and even in the near future. This increase causes, at the same time, several negative effects and rarely positive impacts on the stability of the network. Therefore, this work aims at analyzing the impact of ambient temperature on radial distribution network parameters’ e.g.: voltage drop and stability voltage level (index). Based on MATLAB program, different analyses of distributed generation (DG) insertion influence’s on voltage drop in the radial distribut

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Zhang, Huan, Pengchuan Zhang, and Cho-Jui Hsieh. "RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5757–64. http://dx.doi.org/10.1609/aaai.v33i01.33015757.

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The Jacobian matrix (or the gradient for single-output networks) is directly related to many important properties of neural networks, such as the function landscape, stationary points, (local) Lipschitz constants and robustness to adversarial attacks. In this paper, we propose a recursive algorithm, RecurJac, to compute both upper and lower bounds for each element in the Jacobian matrix of a neural network with respect to network’s input, and the network can contain a wide range of activation functions. As a byproduct, we can efficiently obtain a (local) Lipschitz constant, which plays a cruci

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Lynn, Christopher W., and Danielle S. Bassett. "Quantifying the compressibility of complex networks." Proceedings of the National Academy of Sciences 118, no. 32 (2021): e2023473118. http://dx.doi.org/10.1073/pnas.2023473118.

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Many complex networks depend upon biological entities for their preservation. Such entities, from human cognition to evolution, must first encode and then replicate those networks under marked resource constraints. Networks that survive are those that are amenable to constrained encoding—or, in other words, are compressible. But how compressible is a network? And what features make one network more compressible than another? Here, we answer these questions by modeling networks as information sources before compressing them using rate-distortion theory. Each network yields a unique rate-distort

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Rabold, Susann, and Dirk Baier. "Why Are Some Ethnic Groups More Violent Than Others? The Role of Friendship Network’s Ethnic Composition." Journal of Interpersonal Violence 26, no. 15 (2010): 3127–56. http://dx.doi.org/10.1177/0886260510390944.

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Talebzadeh, Behrooz, Mohammad Ali Jabraeil Jamali, Mahmoud Alilou, Fahimeh Agazadeh, and Ali Asghar Kavian. "Prolonging Lifetime of Wireless Sensor Networks with Energy-Efficient Clustering Scheme." Advanced Materials Research 433-440 (January 2012): 5233–38. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5233.

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In this paper, we will present an energy efficient clustering scheme in order to increase the wireless sensor network’s lifetime. In the proposed method all of the nodes are able to appear as cluster heads, in other words each node decides whether to act as a cluster head and aggregate data or to route the incoming data to a neighbor better suited for this role. The main goal of the proposed method is to eliminate the extensive overhead due to selection of the cluster head and the agreement on it. One of the characteristics of the proposed method is that it does not converge to a specific clus

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Peng, Yubo, Bofeng Zhang, and Furong Chang. "Overlapping Community Detection of Bipartite Networks Based on a Novel Community Density." Future Internet 13, no. 4 (2021): 89. http://dx.doi.org/10.3390/fi13040089.

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Community detection plays an essential role in understanding network topology and mining underlying information. A bipartite network is a complex network with more important authenticity and applicability than a one-mode network in the real world. There are many communities in the network that present natural overlapping structures in the real world. However, most of the research focuses on detecting non-overlapping community structures in the bipartite network, and the resolution of the existing evaluation function for the community structure’s merits are limited. So, we propose a novel funct

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DePrator, Anthony J., Owen Hitchcock, and Vikash V. Gayah. "Improving Urban Street Network Efficiency by Prohibiting Conflicting Left Turns at Signalized Intersections." Transportation Research Record: Journal of the Transportation Research Board 2622, no. 1 (2017): 58–69. http://dx.doi.org/10.3141/2622-06.

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The accommodation of left turns at signalized intersections plays a significant role in the overall operational efficiency of urban traffic networks. Allowing left turns in traditional ways (such as implementing protected, permitted, and protected–permitted phasing schemes) reduces available intersection capacity but provides vehicles the most direct routing options to reach their destinations. Prohibiting left turns allows simpler phasing plans but requires vehicles to travel longer distances. This paper uses macroscopic performance measures to quantify and compare the efficiency of urban gri

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Jiang, Qiao, Qianting Ma, and Xiaoxing Liu. "Research on the Stock Correlation Network Entropy and Its Influencing Factors in the Chinese Interbank Market." Mathematical Problems in Engineering 2021 (July 26, 2021): 1–8. http://dx.doi.org/10.1155/2021/9941148.

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The stability of the interbank market is an essential guarantee for the sustainable development of society. Network entropy theory provides a critical research paradigm for the study of the stability of the interbank market. Considering that few scholars have conducted in-depth analysis on the influencing factors of the network entropy’s evolution process, this paper constructs the stock correlation network entropy model in the Chinese interbank market based on the correlation of stock price fluctuation. It focuses on analyzing the influencing factors in the dynamic evolution process of the st

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Ahmad, Muhammad, Anthony Mouraud, Yacine Rezgui, and Monjur Mourshed. "Deep Highway Networks and Tree-Based Ensemble for Predicting Short-Term Building Energy Consumption." Energies 11, no. 12 (2018): 3408. http://dx.doi.org/10.3390/en11123408.

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Predictive analytics play a significant role in ensuring optimal and secure operation of power systems, reducing energy consumption, detecting fault and diagnosis, and improving grid resilience. However, due to system nonlinearities, delay, and complexity of the problem because of many influencing factors (e.g., climate, occupants’ behaviour, occupancy pattern, building type), it is a challenging task to get accurate energy consumption prediction. This paper investigates the accuracy and generalisation capabilities of deep highway networks (DHN) and extremely randomized trees (ET) for predicti

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Li, Jinglun, Jiapeng Xiu, Zhengqiu Yang, and Chen Liu. "Dual Path Attention Net for Remote Sensing Semantic Image Segmentation." ISPRS International Journal of Geo-Information 9, no. 10 (2020): 571. http://dx.doi.org/10.3390/ijgi9100571.

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Semantic segmentation plays an important role in being able to understand the content of remote sensing images. In recent years, deep learning methods based on Fully Convolutional Networks (FCNs) have proved to be effective for the sematic segmentation of remote sensing images. However, the rich information and complex content makes the training of networks for segmentation challenging, and the datasets are necessarily constrained. In this paper, we propose a Convolutional Neural Network (CNN) model called Dual Path Attention Network (DPA-Net) that has a simple modular structure and can be add

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Silva, Luciano Francisco Silveira da, Jorge Renato Verschoore, Ingridi Vargas Bortolaso, and Flávio Régio Brambilla. "The effectiveness of game dynamics in cooperation networks." European Business Review 31, no. 6 (2019): 870–84. http://dx.doi.org/10.1108/ebr-06-2018-0118.

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Purpose In line with the recent adoption of game dynamics to promote motivation and engagement in business contexts, the purpose of this paper is to analyze how gamification tools (i.e. points, levels, challenges, badges and ranking) are used to manage cooperation networks. Design/methodology/approach To develop this purpose, an exploratory case study is conducted on the RedeMac Qualifying Program as a set of tools to enhance customer service in RedeMac, a cooperation network of hardware stores in southern Brazil. Findings The results showed the motivating role of gamification in engaging asso

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Huertas, Rafael. "Psychiatrists and mental health activism during the final phase of the Franco regime and the democratic transition." History of Psychiatry 30, no. 1 (2018): 77–89. http://dx.doi.org/10.1177/0957154x18808127.

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In the final years of the Franco dictatorship and during the period known as the democratic transition, there were a significant number of protests in the sphere of mental health in Spain. This article analyses the origins and functioning of the Psychiatric Network, which emerged in 1971, its connection to the formation of professional organizations and its role in the reception of anti-psychiatry ideas in Spain. We reach the conclusion that, although the Network’s activities took place within a left-wing political and ideological framework, and at such an important time of social change as th

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Khan, Gohar F., Marko Sarstedt, Wen-Lung Shiau, Joseph F. Hair, Christian M. Ringle, and Martin P. Fritze. "Methodological research on partial least squares structural equation modeling (PLS-SEM)." Internet Research 29, no. 3 (2019): 407–29. http://dx.doi.org/10.1108/intr-12-2017-0509.

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Purpose The purpose of this paper is to explore the knowledge infrastructure of methodological research on partial least squares structural equation modeling (PLS-SEM) from a network point of view. The analysis involves the structures of authors, institutions, countries and co-citation networks, and discloses trending developments in the field. Design/methodology/approach Based on bibliometric data downloaded from the Web of Science, the authors apply various social network analysis (SNA) and visualization tools to examine the structure of knowledge networks of the PLS-SEM domain. Specifically

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Rouhani, Samira, Mir Saman Pishvaee, and Naeme Zarrinpoor. "A fuzzy optimization approach to strategic organ transplantation network design problem: A real case study." Decision Science Letters 10, no. 3 (2021): 195–216. http://dx.doi.org/10.5267/j.dsl.2021.5.001.

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Designing an efficient supply chain for organ transplant networks which is intimately related to humans’ life plays a primary role in improving the network’s performance. This research is focused on proposing a new multi-period location-allocation modeling approach to make appropriate strategic decisions for designing organ transplant networks under supply and budget uncertainties. To serve this purpose, a bi-objective possibilistic programming model is formulated the aim of which is to maximize network responsiveness and minimize the total cost. A fuzzy goal programming approach is adopted to

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Kruger, Tina M. "THE ROLE OF EDUCATORS AND EMPLOYERS IN REDUCING (OR PERPETUATING) AGEISM." Innovation in Aging 3, Supplement_1 (2019): S47. http://dx.doi.org/10.1093/geroni/igz038.183.

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Abstract As the population ages, increasing numbers of people are at risk of being harmed by ageism found in interpersonal interactions, medical settings, employment opportunities, and public policies. The way older people are talked to and about can facilitate the inclusion or exclusion/dismissal of the older population. Gerontology educators are well-positioned to combat ageism by discussing ageist beliefs with students and by teaching about stereotype development, aging stigma, and inclusive language and interactions. Aging services providers can address ageism by hiring the candidates most

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Luo, Jiajia, Linqiang Ji, and Jinhe Wang. "Research on Urban Branch Road System Construction under the Perspective of Eco-friendly Traffic." Urban Transportation & Construction 2 (December 3, 2015): 5. http://dx.doi.org/10.18686/utc.v2i1.2.

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<p>With constant development of urbanization, urban traffic has become the most urgent problem in the contemporary metropolis. Therefore, it is an inevitable trend to positively improve the human-oriented sustainable urban eco-friendly traffic system. The urban branch road constitutes a part of urban road that will be mostly neglected while it plays a positive supportive role to the eco-friendly traffic. This article makes a contrast and analysis to the coordinated relationship between branch road network and eco-friendly traffic in same areas of Germany and Dalian City and concludes the

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Godin, Judith, Olga Theou, Karen Black, Shelly A. McNeil, and Melissa K. Andrew. "Long-Term Care Admissions Following Hospitalization: The Role of Social Vulnerability." Healthcare 7, no. 3 (2019): 91. http://dx.doi.org/10.3390/healthcare7030091.

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We sought to understand the association between social vulnerability and the odds of long-term care (LTC) placement within 30 days of discharge following admission to an acute care facility and whether this association varied based on age, sex, or pre-admission frailty. Patients admitted to hospital with acute respiratory illness were enrolled in the Canadian Immunization Research Network’s Serious Outcomes Surveillance Network during the 2011/2012 influenza season. Participants (N = 475) were 65 years or older (mean = 78.6, SD = 7.9) and over half were women (58.9%). Incident LTC placement wa

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Sirviö, Katja H., Hannu Laaksonen, Kimmo Kauhaniemi, and Nikos Hatziargyriou. "Evolution of the Electricity Distribution Networks—Active Management Architecture Schemes and Microgrid Control Functionalities." Applied Sciences 11, no. 6 (2021): 2793. http://dx.doi.org/10.3390/app11062793.

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The power system transition to smart grids brings challenges to electricity distribution network development since it involves several stakeholders and actors whose needs must be met to be successful for the electricity network upgrade. The technological challenges arise mainly from the various distributed energy resources (DERs) integration and use and network optimization and security. End-customers play a central role in future network operations. Understanding the network’s evolution through possible network operational scenarios could create a dedicated and reliable roadmap for the variou

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Sami, Basha. "EDUCATIVE NETWORK’S ROLE IN REINFORCING THE ACADEMIC DEVELOPMENT IN THE PALESTINIAN UNIVERSITIES (REFLECTIVE MODEL TOWARD AND INNOVATION IN TEACHING AND LEARNING)." Education and science journal, no. 7 (January 1, 2016): 136–51. http://dx.doi.org/10.17853/1994-5639-2016-7-136-151.

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Monnickendam-Givon, Yisca, Dafna Schwartz, and Benjamin Gidron. "The surprising lack of connection between social networks and the enterprise success of ultra-religious female micro-entrepreneurs." Journal of Enterprising Communities: People and Places in the Global Economy 12, no. 3 (2018): 395–415. http://dx.doi.org/10.1108/jec-05-2017-0031.

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Purpose The utilization of social networks is known to have an impact on micro-enterprise success. This study aims to examine the contribution of social networks in acquiring resources and their role in the enterprise’s success. Design/methodology/approach A business’s success is influenced by its network structure and the network’s resources. The authors examine whether unique religious-cultural characteristics affect the social networks contribution to a business’s success. This model examines the network utilization of women entrepreneurs who own micro-enterprises in ultra-religious groups.

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ABDEL-JABER, HUSSEIN, ABDULAZIZ SHEHAB, MOHAMED BARAKAT, and MAGDI RASHAD. "IGRED: An Improved Gentle Random Early Detection Method for Management of Congested Networks." Journal of Interconnection Networks 19, no. 02 (2019): 1950004. http://dx.doi.org/10.1142/s021926591950004x.

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Controlling congested router buffers of a network has a crucial role in improving network’s performance. This paper proposes a novel Active Queue Management (AQM) method named Improved Gentle Random Early Detection (IGRED) that based on GRED algorithm, which counted as one of the popular AQM methods. The proposed is mainly developed to overcome the problems faced with classic GRED. The initial packet-dropping probability depends on several parameters such as the average queue length, maximum value of packet dropping probability, minimum and maximum thresholds, etc. IGRED reduces its reliance o

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Lamosa, Jéssica D., Lívia R. Tomás, Marcos G. Quiles, Luciana R. Londe, Leonardo B. L. Santos, and Elbert E. N. Macau. "Topological indexes and community structure for urban mobility networks: Variations in a business day." PLOS ONE 16, no. 3 (2021): e0248126. http://dx.doi.org/10.1371/journal.pone.0248126.

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Topological analysis and community detection in mobility complex networks have an essential role in many contexts, from economics to the environmental agenda. However, in many cases, the dynamic component of mobility data is not considered directly. In this paper, we study how topological indexes and community structure changes in a business day. For the analyzes, we use a mobility database with a high temporal resolution. Our case study is the city of São José dos Campos (Brazil)—the city is divided into 55 traffic zones. More than 20 thousand people were asked about their travels the day bef

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McClure, Julia, Amitava Chowdhury, Sarah Easterby-Smith, et al. "Inquality and the Future of Global History: A Round Table Discussion." Journal of Indian Ocean World Studies 3, no. 1 (2019): 53–81. http://dx.doi.org/10.26443/jiows.v3i1.58.

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The following is an edited transcript of a roundtable that took place at the University of Glasgow in September 2018. The roundtable was organized by Dr. Julia McClure in conjunction with the Poverty Research Network’s conference - Beyond Development: The Local Visions of Global Poverty. That conference brought into focus the ways in which the global and local levels meet at the site of poverty and highlighted the different conceptions on the global are generated from the perspective of poverty. The roundtable brought together leading scholars from Europe, Africa, Asia and North and South Amer

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Stollfuß, Sven. "German Public Television, Social Media and Audience Engagement." Public Service Broadcasting in the Digital Age 8, no. 16 (2019): 98. http://dx.doi.org/10.18146/2213-0969.2019.jethc178.

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This article discusses how social media affect German public service broadcasting (PSB) in terms of PSB’s efforts to reach younger audiences in the digital age. Since social media play a significant role for younger media users, German PSB is attempting to integrate social media into television (commonly referred to as social TV). Social TV has the ability to develop into fairly integrated multiplatform application systems that are driven by the logic of social media. One example is the content network funk, launched by ARD and ZDF in 2016. The content network’s shows demonstrate a changed tel

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D’Annunzio, Anna, and Antonio Russo. "Ad Networks and Consumer Tracking." Management Science 66, no. 11 (2020): 5040–58. http://dx.doi.org/10.1287/mnsc.2019.3481.

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We study the role of ad networks in the online advertising market. Our baseline model considers two publishers that can outsource the sale of their ad inventories to an ad network, in a market where consumers and advertisers multi-home. The ad network increases total advertising revenue by tracking consumers across outlets and reduces competition between publishers by centralizing the sale of ads. Consequently, outsourcing to the ad network benefits the publishers, but may penalize the advertisers. We show that the ad network’s ability to track consumers may either expand or reduce the provisi

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Ren, Yong, Tao Yang, Wei Gao, and Yang Hai Li. "The Modeling of Steam Turbine Speed Control System Based on Radial Basis Function Neural Network." Advanced Materials Research 139-141 (October 2010): 1822–26. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1822.

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The model of speed control system plays an important role in power system stability studies, the non-linear properties prevent us from getting accurate mechanism model. In this paper, the radial basis function neural network with self-structuring and fast convergence is used in the modeling of steam turbine speed control system in the modeling process, also, this paper presents a method which combines particle swarm optimization algorithm and least-squares algorithm for the neural network’s training, it has the property of high accuracy and fast convergence, after training, the proposed model

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McBride, David, and Linda Petzold. "Model-based Inference of a Directed Network of Circadian Neurons." Journal of Biological Rhythms 33, no. 5 (2018): 515–22. http://dx.doi.org/10.1177/0748730418790402.

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The suprachiasmatic nucleus (SCN) is the master clock of the brain. It is a network of neurons that behave like biological oscillators, capable of synchronizing and maintaining daily rhythms. The detailed structure of this network is still unknown, and the role that the connectivity pattern plays in the network’s ability to generate robust oscillations has yet to be fully elucidated. In recent work, we used an information theory–based technique to infer the structure of the functional network for synchronization, from bioluminescence reporter data. Here, we propose a computational method to de

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Granados, Alfredo, Francisco J. Martín-Carrasco, Silvestre García de Jalón, and Ana Iglesias. "Adaptation of irrigation networks to climate change: Linking robust design and stakeholder contribution." Spanish Journal of Agricultural Research 13, no. 4 (2015): e1205. http://dx.doi.org/10.5424/sjar/2015134-7549.

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<p>Agriculture is a particularly sensitive sector to the potential impacts of climate change. Thus, irrigation infrastructure is required to be robust to cope with these potential threats. The objective of this research is designing more robust irrigation networks, considering cost and stakeholder contribution. To that end, the investigation was addressed in three phases: a sensitivity analysis to understand the effectiveness of the distinct variables, a cost-effectiveness analysis assessing their efficiency, and a global study of the most efficient variables to provide an insight into t

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Guan, Xiaodi, Lijun He, Mengyue Li, and Fan Li. "Entropy Based Data Expansion Method for Blind Image Quality Assessment." Entropy 22, no. 1 (2019): 60. http://dx.doi.org/10.3390/e22010060.

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Image quality assessment (IQA) is a fundamental technology for image applications that can help correct low-quality images during the capture process. The ability to expand distorted images and create human visual system (HVS)-aware labels for training is the key to performing IQA tasks using deep neural networks (DNNs), and image quality is highly sensitive to changes in entropy. Therefore, a new data expansion method based on entropy and guided by saliency and distortion is proposed in this paper. We introduce saliency into a large-scale expansion strategy for the first time. We regionally a

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Konstantinidou, Maria A., Konstantinos L. Kepaptsoglou, and Antony Stathopoulos. "A Multi-objective Network Design Model for Post-disaster Transportation Network Management." PROMET - Traffic&Transportation 31, no. 1 (2019): 11–23. http://dx.doi.org/10.7307/ptt.v31i1.2743.

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Despite their inherent vulnerability to structural and functional degradation, transportation networks play a vital role in the aftermath of disasters by ensuring physical access to the affected communities and providing services according to the generated needs. In this setting of operational conditions and service needs which deviate from normal, a restructuring of network functions is deemed to be beneficial for overall network serviceability. In such context, this paper explores the planning of post-disaster operations on a network following a hazardous event on one of the network’s nodes.

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Letina, Srebrenka, Tessa F. Blanken, Marie K. Deserno, and Denny Borsboom. "Expanding Network Analysis Tools in Psychological Networks: Minimal Spanning Trees, Participation Coefficients, and Motif Analysis Applied to a Network of 26 Psychological Attributes." Complexity 2019 (February 21, 2019): 1–27. http://dx.doi.org/10.1155/2019/9424605.

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The analysis of psychological networks in previous research has been limited to the inspection of centrality measures and the quantification of specific global network features. The main idea of this paper is that a psychological network entails more potentially useful and interesting information that can be reaped by other methods widely used in network science. Specifically, we suggest methods that provide clearer picture about hierarchical arrangement of nodes in the network, address heterogeneity of nodes in the network, and look more closely at network’s local structure. We explore the po

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García-Jiménez, Custodia, and Pilar Santisteban. "TSH signalling and cancer." Arquivos Brasileiros de Endocrinologia & Metabologia 51, no. 5 (2007): 654–71. http://dx.doi.org/10.1590/s0004-27302007000500003.

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Thyroid cancers are the most frequent endocrine neoplasms and mutations in the thyrotropin receptor (TSHR) are unusually frequent. Here we present the state-of-the-art concerning the role of TSHR in thyroid cancer and discuss it in light of the cancer stem cell theory or the classical view. We briefly review the gene and protein structure updating the cancer related TSHR mutations database. Intriguingly, hyperfunctioning TSHR mutants characterise differentiated cancers in contrast to undifferentiated thyroid cancers which very often bear silenced TSHR. It remains unclear whether TSHR alteratio

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Vivas, Jorge, Boris Kogan, Sofía Romanelli, Francisco Lizarralde, and Luis Corda. "A cross-linguistic comparison of Spanish and English semantic norms: Looking at core features." Applied Psycholinguistics 41, no. 2 (2020): 285–97. http://dx.doi.org/10.1017/s0142716419000523.

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AbstractIt has been suggested that human communities that share their basic cultural foundations evince no remarkable differences concerning the characterization of core concepts. However, the small but existing differences among them reflect their sociocultural diversity. This study compares 219 concrete concepts common to both Spanish and English semantic feature norms in order to assess whether core features of concepts follow a universal or cultural language-specific pattern. Concepts were compared through a geometric technique of vector comparison in the Euclidean n-dimensional space alon

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Sweeny, Amy, Lisa van den Berg, Julia Hocking, et al. "A Queensland research support network in emergency healthcare." Journal of Health Organization and Management 33, no. 1 (2019): 93–109. http://dx.doi.org/10.1108/jhom-02-2018-0068.

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Purpose The purpose of this paper is to describe the structure and impact of a Queensland Research Support Network (RSN) in emergency medicine (EM). Design/methodology/approach This paper presents a descriptive summary of EM networks, network evaluations and the structure and development of the Emergency Medicine Foundation’s (EMF) RSN in Queensland, including an observational pre- and post-study of research metrics. Findings In two years, the RSN supported 33 Queensland emergency departments (EDs), of which 14 developed research strategies. There was an increase in research active clinicians,

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Avolio, M., S. Montagnoli, M. Marino, et al. "Factors Influencing Quality of Life for Disabled and Nondisabled Elderly Population: The Results of a Multiple Correspondence Analysis." Current Gerontology and Geriatrics Research 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/258274.

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Objectives. The aim of our study is to examine the role of some factors (sociodemographic patterns, social relationship support, and trust in healthcare actors) on structure of quality of life among the Italian elderly population, by stratifying according to presence or absence of disability.Methods. Using data of the Italian National Institute of Statistics (ISTAT) survey, we obtained a sample of 25,183 Italian people aged 65+ years. Multiple Correspondence Analysis (MCA) was used to test such a relationship.Results. By applying the MCA between disabled and nondisabled elderly population, we

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Ganti, Raman S., Wan-Lin Lo, Darren B. McAffee, Jay T. Groves, Arthur Weiss, and Arup K. Chakraborty. "How the T cell signaling network processes information to discriminate between self and agonist ligands." Proceedings of the National Academy of Sciences 117, no. 42 (2020): 26020–30. http://dx.doi.org/10.1073/pnas.2008303117.

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T cells exhibit remarkable sensitivity and selectivity in detecting and responding to agonist peptides (p) bound to MHC molecules in a sea of self pMHC molecules. Despite much work, understanding of the underlying mechanisms of distinguishing such ligands remains incomplete. Here, we quantify T cell discriminatory capacity using channel capacity, a direct measure of the signaling network’s ability to discriminate between antigen-presenting cells (APCs) displaying either self ligands or a mixture of self and agonist ligands. This metric shows how differences in information content between these

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Stivaktakis, Radamanthys, Grigorios Tsagkatakis, and Panagiotis Tsakalides. "Semantic Predictive Coding with Arbitrated Generative Adversarial Networks." Machine Learning and Knowledge Extraction 2, no. 3 (2020): 307–26. http://dx.doi.org/10.3390/make2030017.

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In spatio-temporal predictive coding problems, like next-frame prediction in video, determining the content of plausible future frames is primarily based on the image dynamics of previous frames. We establish an alternative approach based on their underlying semantic information when considering data that do not necessarily incorporate a temporal aspect, but instead they comply with some form of associative ordering. In this work, we introduce the notion of semantic predictive coding by proposing a novel generative adversarial modeling framework which incorporates the arbiter classifier as a n

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Penn, Yaron, Menahem Segal, and Elisha Moses. "Network synchronization in hippocampal neurons." Proceedings of the National Academy of Sciences 113, no. 12 (2016): 3341–46. http://dx.doi.org/10.1073/pnas.1515105113.

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Oscillatory activity is widespread in dynamic neuronal networks. The main paradigm for the origin of periodicity consists of specialized pacemaking elements that synchronize and drive the rest of the network; however, other models exist. Here, we studied the spontaneous emergence of synchronized periodic bursting in a network of cultured dissociated neurons from rat hippocampus and cortex. Surprisingly, about 60% of all active neurons were self-sustained oscillators when disconnected, each with its own natural frequency. The individual neuron’s tendency to oscillate and the corresponding oscil

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Maruster, Laura, Durk-Jouke van der Zee, Jaap Hatenboer, and Erik Buskens. "Tracing frequent users of regional care services using emergency medical services data: a networked approach." BMJ Open 10, no. 5 (2020): e036139. http://dx.doi.org/10.1136/bmjopen-2019-036139.

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ObjectivesThis study shows how a networked approach relying on ‘real-world’ emergency medical services (EMS) records might contribute to tracing frequent users of care services on a regional scale. Their tracing is considered of importance for policy-makers and clinicians, since they represent a considerable workload and use of scarce resources. While existing approaches for data collection on frequent users tend to limit scope to individual or associated care providers, the proposed approach exploits the role of EMS as the network’s ‘ferryman’ overseeing and recording patient calls made to an

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