Journal articles: 'Analytic Network Pro'

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Brewer, T. Jameson, Nicholas D. Hartlep, and Ian M. Scott. "Forbes 30 under 30 in education: Manufacturing “edu-preneur” networks to promote and reinforce privatization/marketization in education." education policy analysis archives 26 (June 29, 2018): 76. http://dx.doi.org/10.14507/epaa.26.3563.

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Each year Forbes bestows a handful of “edu-preneurs” with the 30 Under 30 Award in Education (Under30), designating those individuals as the best hope for revolutionizing and reforming education. Boasting low recipient rates, Forbes elevates the manufactured expertise of awardees and the importance of their organizations and ventures. Further, Forbes employs the language and norms of neoliberalism to articulate a pro-market vision of education reform. This social network analytic (SNA) study seeks to untangle the edu-preneur network and critically examine the connections between awardees, their organizations, judges, and the larger education reform network. To this end, we utilized descriptive analyses and SNA. We find evidence that Under30 serves as a mechanism for promoting social closure and ideological homophily within education reform networks. Further, we consider the policy implications that such awards may have on public discourse and policy creation.

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Antonov, V. V., G. G. Kulikov, L. A. Kromina, L. E. Rodionova, A. R. Fakhrullina, and Z. I. Kharisova. "The concept of a software and analytical complex of the educational process based on ontology and artificial neural networks." Ontology of Designing 11, no. 3 (September 30, 2021): 339–50. http://dx.doi.org/10.18287/2223-9537-2021-11-3-339-350.

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Effective management of the learning process of additional professional education programs at the university is condi-tioned by providing unique needs of students as requested by employers in the real sector of the economy in accord-ance with the selected competencies and areas of training. At the same time, when solving a number of tasks, the algo-rithm of which is unknown, there are more and more actively developed and implemented systems using artificial neu-ral networks, which allow classifying and analyzing data for making managerial decisions. Based on such widespread use of artificial neural networks, there is an increasing need for systematization of data to improve the performance of software analytical complex processing, storage, search and analysis of data, for the implementation of training pro-grams at all stages of the life cycle, taking into account uncertainty. The developed software-analytical complex is pre-sented on the example of a model of an intelligent system used to control and analyze the acquired competencies of students, built on the basis of an ontological approach, a model of continuous quality improvement, which makes it possible to determine the interaction of business processes, their sequence and performance benchmarks. To imple-ment this theory, a neural network node scheme of a software analytic complex capable of data-driven learning has been developed. The presented scheme of a neural network node assumes the use of a supervised learning algorithm when a training dataset arrives at the input.

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Krupowicz, Wioleta, Katarzyna Sobolewska-Mikulska, and Marija Burinskienė. "MODERN TRENDS IN ROAD NETWORK DEVELOPMENT IN RURAL AREAS." Baltic Journal of Road and Bridge Engineering 12, no. 1 (March 24, 2017): 48–56. http://dx.doi.org/10.3846/bjrbe.2017.06.

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Activities aimed at the improvement of instruments of rural development have been undertaken in Europe for many years. Those focusing on the changing the ownership structure, implemented through the traditional process of land consolidation, are gradually replaced by multifunctional activities for rural development, considering elements of environmental protection, agricultural landscape management, and solutions concerning soil and water protection. Such development must be accompanied by the application of new pro-ecological design and material-technological solutions regarding the construction of rural roads. The roads should be designed with possibly the fullest consideration of a rich resource of data on a given area, performance of many spatial analyses, and decision making in the scope of selection of the most appropriate solutions acceptable to all stakeholders (e.g. residents, farmers, local authorities, entrepreneurs, and investors). The article presents the concept of a model solution of the development of the rural road network based on the multiple-criteria model of spatial analyses with the application of the Analytic Hierarchy Process method. The research process was conducted in the geographic information systems environment. The importance of the proposed methodology was verified in actual conditions based on the example of the Harta village located in the southern part of Poland. The obtained results suggest that the process of development of rural roads with the application of the multiple-criteria model of spatial analyses is more accurate, more efficient than the traditional design method, and considers the requirements of the sustainable development of rural areas. Moreover, it permits presentation of solutions in the form of maps to the local community, almost in real time, and making excellent decisions with its active participation.

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Carreras, Joaquim, Yara Yukie Kikuti, Giovanna Roncador, Masashi Miyaoka, Shinichiro Hiraiwa, Sakura Tomita, Haruka Ikoma, et al. "High Expression of Caspase-8 Associated with Improved Survival in Diffuse Large B-Cell Lymphoma: Machine Learning and Artificial Neural Networks Analyses." BioMedInformatics 1, no. 1 (April 21, 2021): 18–46. http://dx.doi.org/10.3390/biomedinformatics1010003.

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High expression of the anti-apoptotic TNFAIP8 is associated with poor survival of the patients with diffuse large B-cell lymphoma (DLBCL), and one of the functions of TNFAIP8 is to inhibit the pro-apoptosis Caspase-8. We aimed to analyze the immunohistochemical expression of Caspase-8 (active subunit p18; CASP8) in a series of 97 cases of DLBCL from Tokai University Hospital, and to correlate with other Caspase-8 pathway-related markers, including cleaved Caspase-3, cleaved PARP, BCL2, TP53, MDM2, MYC, Ki67, E2F1, CDK6, MYB and LMO2. After digital image quantification, the correlation with several clinicopathological characteristics of the patients showed that high protein expression of Caspase-8 was associated with a favorable overall and progression-free survival (Hazard Risks = 0.3; p = 0.005 and 0.03, respectively). Caspase-8 also positively correlated with cCASP3, MDM2, E2F1, TNFAIP8, BCL2 and Ki67. Next, the Caspase-8 protein expression was modeled using predictive analytics, and a high overall predictive accuracy (>80%) was obtained with CHAID decision tree, Bayesian network, discriminant analysis, C5 tree, logistic regression, and Artificial Intelligence Neural Network methods (both Multilayer perceptron and Radial basis function); the most relevant markers were cCASP3, E2F1, TP53, cPARP, MDM2, BCL2 and TNFAIP8. Finally, the CASP8 gene expression was also successfully modeled in an independent DLBCL series of 414 cases from the Lymphoma/Leukemia Molecular Profiling Project (LLMPP). In conclusion, high protein expression of Caspase-8 is associated with a favorable prognosis of DLBCL. Predictive modeling is a feasible analytic strategy that results in a solution that can be understood (i.e., explainable artificial intelligence, “white-box” algorithms).

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Ruiz-Núñez, Carlos, Sergio Segado-Fernández, Beatriz Jiménez-Gómez, Pedro Jesús Jiménez Hidalgo, Carlos Santiago Romero Magdalena, María del Carmen Águila Pollo, Azucena Santillán-Garcia, and Ivan Herrera-Peco. "Bots’ Activity on COVID-19 Pro and Anti-Vaccination Networks: Analysis of Spanish-Written Messages on Twitter." Vaccines 10, no. 8 (August 2, 2022): 1240. http://dx.doi.org/10.3390/vaccines10081240.

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This study aims to analyze the role of bots in the dissemination of health information, both in favor of and opposing vaccination against COVID-19. Study design: An observational, retrospective, time-limited study was proposed, in which activity on the social network Twitter was analyzed. Methods: Data related to pro-vaccination and anti-vaccination networks were compiled from 24 December 2020 to 30 April 2021 and analyzed using the software NodeXL and Botometer. The analyzed tweets were written in Spanish, including keywords that allow identifying the message and focusing on bots’ activity and their influence on both networks. Results: In the pro-vaccination network, 404 bots were found (14.31% of the total number of users), located mainly in Chile (37.87%) and Spain (14.36%). The anti-vaccination network bots represented 16.19% of the total users and were mainly located in Spain (8.09%) and Argentina (6.25%). The pro-vaccination bots generated greater impact than bots in the anti-vaccination network (p < 0.000). With respect to the bots’ influence, the pro-vaccination network did have a significant influence compared to the activity of human users (p < 0.000). Conclusions: This study provides information on bots’ activity in pro- and anti-vaccination networks in Spanish, within the context of the COVID-19 pandemic on Twitter. It is found that bots in the pro-vaccination network influence the dissemination of the pro-vaccination message, as opposed to those in the anti-vaccination network. We consider that this information could provide guidance on how to enhance the dissemination of public health campaigns, but also to combat the spread of health misinformation on social media.

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Jordan, G. Lladó, M. D. C. Díaz García, B. Lozano Díez, P. Mediavilla Sánchez, J. A. Gómez Del Barrio, and R. Ayesa-Arriola. "Facebook as a Pro-Ana and Pro-Mia resource." European Psychiatry 64, S1 (April 2021): S703. http://dx.doi.org/10.1192/j.eurpsy.2021.1863.

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IntroductionINTRODUCTION Facebook is the world’s leading social network with 2,449 million users. Around 22 million of those users are registered in Spain, and 30% of them are aged between 16 and 31. Pro-Ana and Pro-Mia pages have found a space to promote Eating Disorders (ED) as a ‘lifestyle’ using their own code.ObjectivesOBJECTIVE To study the characteristics of Pro-Ana and Pro-Mia Facebook profiles in Spanish.MethodsMETHODS A non-computerized research of Facebook pages related to ED advocacy was conducted. The opened time, publications, photos, type of profiles (public/private) and link to a WhatsApp group of 58 Facebook pages were analyzed. A qualitative and descriptive analysis was carried out.ResultsRESULTS From Facebook profiles: 62.07% contained ‘Ana’ in their profile name; 18.97% had been opened for more than 3 years; 79.31% had been shared; 48.28% mentioned Whatsapp groups; 91.38% were public profiles; 50% named other social networks; 75.86% added text to their publications; 25.86% had shared more than 20 photos on their profiles.ConclusionsCONCLUSIONS On platforms like Facebook, people with ED can: advocate for their disease, set up networks, share tips/tricks and encourage other users to become part of their community. Technological developments have made it easier to access to this type of resources. Despite the platform’s policy, there are still these kind of profiles that make a case for ED.DisclosureNo significant relationships.

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Bukreyev, Ivan, Hazal Yüksel, Ken Ho, and Alyssa Apsel. "PCO-Based BLE Mesh Accelerator." Sensors 22, no. 14 (July 16, 2022): 5324. http://dx.doi.org/10.3390/s22145324.

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Bluetooth Low Energy (BLE) mesh networks enable diverse communication for the Internet of Things (IoT). However, existing BLE mesh implementations cannot simultaneously achieve low-power operation, symmetrical communication, and scalability. A major limitation of mesh networks is the inability of the BLE stack to handle network-scalable time synchronization. Pulse-coupled oscillators (PCOs) have been studied extensively and are able to achieve fast and reliable synchronization across a range of applications and network topologies. This paper presents a lightweight physical (PHY) layer accelerator to the BLE stack that enables scalable synchronization command with a PCO. The accelerator is a fully digital solution that can be synthesized with only the standard cells available in any silicon technology. This paper provides a detailed analysis of PCO-based BLE mesh networks and explores per-node system-level requirements. Finally, the analytical results are validated with measurements of a custom radio node based on the ubiquitous AD9364 transceiver.

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Anggraeni, Dania Sartika, Aisah Aisah, and Abdul Rasyid. "Signal Quality Analysis Using G-Nettrack Pro in Malang City." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 10, no. 2 (May 30, 2020): 124–28. http://dx.doi.org/10.33795/jartel.v10i2.10.

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Currently, wireless telecommunication networks (wireless) have developed very rapidly. To meet the demands of today's mobile users for data rate transfer and data services. The application of LTE technology has been intensively carried out in several countries, including Indonesia. The problem that is often faced is the limited coverage area of ??the Base Transceiver Station (BTS) so that not all areas can be covered by the 4G network. Based on this background, this thesis will analyze the performance and signal quality of LTE networks in Malang City. This measurement is done using the G-Nettrack Pro application and the parameters to be measured in this study are RSRQ, RSRP, SINR and Throughput. The location of eNodeB used for research is in 2 Districts in Malang City. From the measurement results of the drive test, it was found that the area of ??Sawojajar and Malang City had a max RSRP value of -64 dBm, a min RSRP of -105 dBm, an average RSRP of -83.2 dBm in the Very good category. RSRQ max -6 dB, min RSRQ -11 dB, and average RSRQ -10.05 dB in the Normal category. SINR max 25 dB, SINR min -3 dB, and SINR average 9.65 dB in the Good category. Uplink max 14546 kbps, Uplink min 0, and an average Uplink 19.96 kbps in the Very bad category. Downlink max 15564 kbps, Downlink min 0, and downlink average 28.6 kbps in the Very bad category.

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Melo Brentan, Bruno, Gustavo Meirelles Lima, Antonio Carlos Zuffo, and Edevar Luvizotto Junior. "Dimensionamento de redes de distribuição de água por meio de análise multicriterial." Revista DAE 221, no. 68 (2019): 118–30. http://dx.doi.org/10.36659/dae.2020.010.

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O dimensionamento de redes de distribuição de água (RDAs) é feito para que as restrições operacionais de velo- cidade e pressão se mantenham dentro de limites que garantam a eficiência operacional. Assim, buscam-se as tubulações de menor custo para que essas condições sejam satisfeitas. Entretanto, ao adotar essa prática, ou- tras características da rede podem ser afetadas negativamente, como sua resiliência e capacidade de expansão. Dessa forma, este trabalho apresenta um estudo de caso em que a análise multicriterial é utilizada para realizar o dimensionamento de uma RDA. Primeiramente, um mapa cognitivo é feito para identificar os principais cri- térios a serem considerados na solução do problema. Em seguida, o método Delphi é usado em conjunto com o Analytic Hierarchy Process (AHP) para determinar os pesos relativos de cada critério. Por fim, três diferentes métodos de análise multicritérios são utilizados para a solução do problema: AHP, Electre e Promethee. Palavras-chave: Rede de distribuição. Otimização. Análise multicritério. Abstract The design of water distribution networks (WDNs) is made to match velocity and pressure constraints that guaran- tee operational efficiency. Thus, pipes with lower cost are selected to attend these conditions. However, this proce- dure can harm other characteristics of the network, as for example its resilience and expansion capacity. Therefore, this paper presents a case study in which the multicriterial analysis is used to design a WDN. First, a cognitive map is built to identify the main criteria to be considered during the design process. Then, the Delphi method is used jointly with the Analytic Hierarchy Process (AHP) to define the relative weights of each criteria. Finally, three different methods for multicriterial analysis are used to solve the problem: AHP, Electre and Promethee. Keywords: Water distribution network. Optimization. Multicriterial analysis.

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Soto Orozco, Oscar Alejandro, Alma Delia Corral Saenz, Claudia Elizabeth Rojo González, and Juan Alberto Ramirez Quintana. "Análisis del desempeño de redes neuronales profundas para segmentación semántica en hardware limitado." RECIBE, REVISTA ELECTRÓNICA DE COMPUTACIÓN, INFORMÁTICA, BIOMÉDICA Y ELECTRÓNICA 8, no. 2 (October 29, 2019): C6–1—C6–21. http://dx.doi.org/10.32870/recibe.v8i2.142.

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Segmentación semántica consiste en encontrar objetos previamente definidos en una imagen digital y se aplica en tecnologías como vehículos autónomos, interacción humano-maquina, realidad aumentada, robótica, etc. Los modelos más comunes para llevar a cabo esta forma de segmentación son las redes totalmente convolucionales, ya que reportan los mejores desempeños en la detección de objetos. Sin embargo, la mayor parte de estas redes tienen alto costo computacional y requieren de computadoras costosas, por lo que han surgido recientemente modelos basados en estas redes, pero con baja complejidad en cálculos para que las aplicaciones de segmentación semántica se puedan implementar desde sistemas embebidos. Por lo tanto, para contribuir con este esfuerzo, se presenta en este artículo un análisis detallado las redes Enet, Mobilenet v2, ERFNet y ESPNet v2, las cuales son redes populares en la literatura que se pueden correr desde un sistema embebido. Con base en los resultados, se concluye que los métodos que reemplazan la convolución regular por factorizaciones como la convolución separada en profundidad y convoluciones dilatadas con diversas ramas y el uso de otras estrategias como convoluciones saltadas e interpolaciones articuladas reducen el costo computacional comparando las métricas generadas por cada red como la huella de memoria, la precisión y el tiempo que tarda en segmentar una sola imagen.

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Keating, Kevin S., Samuel C. Flores, Mark B. Gerstein, and Leslie A. Kuhn. "StoneHinge: Hinge prediction by network analysis of individual protein structures." Protein Science 18, no. 2 (February 2009): 359–71. http://dx.doi.org/10.1002/pro.38.

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Dombi, George W., and Jeannette Lawrence. "Analysis of protein transmembrane helical regions by a neural network." Protein Science 3, no. 4 (April 1994): 557–66. http://dx.doi.org/10.1002/pro.5560030404.

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Zárate Rueda, Ruth, Yolima Ivonne Beltrán Villamizar, and Luis Eduardo Becerra Ardila. "A Retrospective Approach to Pro-Environmental Behavior from Environmental Education: An Alternative from Sustainable Development." Sustainability 15, no. 6 (March 16, 2023): 5291. http://dx.doi.org/10.3390/su15065291.

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This paper is a retrospective over a 20-year period that aims to show the research techniques on pro-environmental behavior and the incidence of Sustainable Development (SD) in Environmental Education (EE). Network bibliometrics was conducted, integrating social media analysis through the implementation of the tools VOSviewer, UCINET and the Biblioshiny application of the R-tool, together with the analysis of content of the documents cited and co-cited in the literature. The findings signal influential authors in citation and co-citation networks; they also point to topics developed emerging in the co-words network. The conclusion shows there is a gap between the acquisition of pro-environmental knowledge and behavior, a fact that shows the need to create pedagogical and participatory alternatives in EE for the resolution of ecological dilemmas. Likewise, with the incorporation of SD in education, it is inferred that higher education is fundamental in guaranteeing sustainability.

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Kurzbach, Dennis. "Network representation of protein interactions: Theory of graph description and analysis." Protein Science 25, no. 9 (June 19, 2016): 1617–27. http://dx.doi.org/10.1002/pro.2963.

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Tomeczek, Artur F. "A minimum spanning tree analysis of the Polish stock market." Journal of Economics and Management 44 (2022): 420–45. http://dx.doi.org/10.22367/jem.2022.44.17.

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Aim/purpose – This article aims to explore the network topology of the stock market in Poland during the COVID-19 pandemic. Design/methodology/approach – Kruskal’s algorithm was used to find the minimum spanning trees (MST) of three undirected correlation networks: MST1 (December 2019 – August 2021), MST2 (February 2020 – April 2020), and MST3 (June 2021 – August 2021). There were123 firms included in all three networks representing three key indexes (WIG20, mWIG40, and sWIG80). Findings – The comovements of stock prices varied between various periods of the pandemic. The most central firms in Poland were PEO, UNT, SPL, PKO, KGH, CCC, and PZU. WIG20 was the most influential stock index for all networks. During the tur- bulent period represented by MST2, many of Poland’s largest companies have clustered around KGH at the center of the network. In contrast, MST3 is the least compact of the three networks and is characterized by the absence of a single strongly influential node. Research implications/limitations – Correlation networks are efficient at quantitatively describing the degree of interdependence of a stock. MST finding algorithms are a cru- cial method of analysis for correlation networks. However, a limitation of the study, inherent to undirected correlation networks, is the inability to determine the direction of influence that stocks have on each other. Originality/value/contribution – The results of the article contribute to the economic analysis of stock markets in several ways. First, it expands on Gałązka (2011) by includ- ing additional centralities and the dynamic aspect of changes in the topology during the COVID-19 pandemic. Second, it broadens the MST-based empirical research of stock markets by showing the emergence of the star topology during the period of high uncer- tainty in Poland. Third, it has practical applications for systemic risk assessment and portfolio diversification. Keywords: network analysis, minimum spanning tree, correlation network, stock mar- ket, COVID-19, Poland. JEL Classification: D85, L14, G10, G32.

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Wang, Xiao, and Dirk Burghardt. "Building-network: Concept, generation method and centrality analysis." Proceedings of the ICA 2 (July 10, 2019): 1–8. http://dx.doi.org/10.5194/ica-proc-2-141-2019.

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Abstract. Buildings are among the most important features of cities. In the suburban or rural regions, buildings are normally constructed along the roads, which forms the smooth and consistent patterns so that the building arrangements also can be described with network models. In previous studies, network theory has achieved good performance in cartography and GIS. In this paper, a study of a building-network is proposed, including the concepts, generation methods and centrality analysis. Firstly, with the constraint Delaunay triangulation and the refinement strategy by facing ratio, the building-network is generated by considering the buildings and the proximal segments as the nodes and segments of the network, respectively. Then, centrality analysis is applied on the building-network, aiming to reveal the crucial relationships among buildings, which is useful for understanding the structural properties of the complex network. Four different centrality measures, i.e. degree, closeness, betweenness, and eigenvector centrality, are calculated based on the building-networks. The buildings show different distribution effects and patterns under the four centrality measures. From the results, the degree centrality reveals the local centre of the region; closeness and eigenvector centrality have the ability to cluster buildings into different groups; while betweenness centrality can detect the linear patterns. Therefore, using network theory to analyse buildings can reveal some inner relationships of buildings and has great potential in the application of building pattern detection, classification, clustering and further generalization.

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Nichols, Sara E., Carlos X. Hernández, Yi Wang, and James Andrew McCammon. "Structure-based network analysis of an evolved G protein-coupled receptor homodimer interface." Protein Science 22, no. 6 (May 8, 2013): 745–54. http://dx.doi.org/10.1002/pro.2258.

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Thamizhmaran, K., and K. Prabu. "Performance Analysis of Hybridization of [PIO-GSO] Algorithms in Wireless Sensor Networks." WSEAS TRANSACTIONS ON COMPUTERS 21 (December 29, 2022): 336–42. http://dx.doi.org/10.37394/23205.2022.21.40.

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In wireless sensor networks (WSN), clustering is treated as an energy efficient technique employed to achieve augmenting network lifetime. But, the process of cluster head (CH) selection for stabilized network operation and prolonged network lifetime remains a challenging issue in WSN. In this research, presents a novel Hybridization of Pigeon Inspired with Glowworm Swarm Optimization (HPIGSO) algorithm based clustering innovation in WSN. This innovative HPIGSO algorithm integrates the good characteristics of Pigeon Inspired Optimization (PIO) algorithm and Glowworm Swarm Optimization (GSO) algorithm. The proposed algorithm operates on three major stages namely initialization, cluster head selection and cluster construction. Once the nodes are deployed, the initialization process takes place. Followed by, Base Station (BS) executes the HPIGSO algorithm and selects the cluster heads effectively. Subsequently, nearby nodes joins the cluster head and becomes cluster members, thereby cluster construction takes place. Finally, the cluster members send the data to cluster heads which is then forwarded to the base station via inter-cluster communication. The performance of the proposed HPIGSO method has been evaluated and compared with QOGSO, PIOA-DS, ALO, GOA and FFOA. Finally the proposed HPIGSO algorithm provides prolonged the lifetime of WSN over the existing clustering techniques.

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JEYSHANKAR, Dr R., and E. Nishavathi. "Legal Citation Network Analysis: An Overview." PRODUCTIVITY 59, no. 3 (December 26, 2018): 282–92. http://dx.doi.org/10.32381/prod.2018.59.03.9.

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Leira, Yago, Paulo Mascarenhas, Juan Blanco, Tomás Sobrino, José João Mendes, Vanessa Machado, and João Botelho. "Network Protein Interaction in the Link between Stroke and Periodontitis Interplay: A Pilot Bioinformatic Analysis." Genes 12, no. 5 (May 20, 2021): 787. http://dx.doi.org/10.3390/genes12050787.

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The clinical interaction between stroke and periodontitis has been consistently studied and confirmed. Hence, exploring potentially new protein interactions in this association using bioinformatic strategies presents potential interest. In this exploratory study, we conducted a protein–protein network interaction (PPI) search with documented encoded proteins for both stroke and periodontitis. Genes of interest were collected via GWAS database. The STRING database was used to predict the PPI networks, first in a sensitivity purpose (confidence cut-off of 0.7), and then with a highest confidence cut-off (0.9). Genes over-representation was inspected in the final network. As a result, we foresee a prospective protein network of interaction between stroke and periodontitis. Inflammation, pro-coagulant/pro-thrombotic state and, ultimately, atheroma plaque rupture is the main biological mechanism derived from the network. These pilot results may pave the way to future molecular and therapeutic studies to further comprehend the mechanisms between these two conditions.

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Garcia-Garcia, Fran J., Inmaculada López-Francés, and Cristian Molla-Esparza. "Análisis de redes sociales para la inclusión entre iguales en discusiones en línea con estudiantes de universidad." Pixel-Bit, Revista de Medios y Educación, no. 66 (2023): 7–29. http://dx.doi.org/10.12795/pixelbit.95555.

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Las discusiones asíncronas en línea (DAL) sirven para aprender en la universidad, pero pierden eficacia conforme disminuye la participación de los estudiantes. Este estudio aporta un método basado en el Análisis de Redes Sociales (ARS) que aborda este problema, identificando estudiantes con un alto potencial de inclusión entre iguales durante los debates asíncronos. Para probar el método, configuramos foros de discusión en Moodle y examinamos las interacciones de 93 estudiantes de grado en el área de Ciencias de la Educación. Analizamos las redes sociales que surgieron de los debates, incluyendo 1818 conexiones. Los resultados mostraron que algunos estudiantes tenían más centralidad de cercanía y eran más accesibles que el resto. Una vez identificados, el profesorado pudo animar a estos estudiantes a incluir a quienes participaban menos en los debates. La inclusión de los compañeros tenía sentido cuando participaban en el debate sin obtener una respuesta de sus comentarios fácilmente. Este estudio abre la puerta a más investigación sobre la eficacia de las estrategias docentes basadas en el ARS, concretamente sobre la eliminación de las barreras al aprendizaje y la participación en una DAL con estudiantes universitarios

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Scala, Riccardo, and Nicolas Van Goethem. "Analytic and geometric properties of dislocation singularities." Proceedings of the Royal Society of Edinburgh: Section A Mathematics 150, no. 4 (February 1, 2019): 1609–51. http://dx.doi.org/10.1017/prm.2018.57.

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AbstractThis paper deals with the analysis of the singularities arising from the solutions of the problem ${-}\,{\rm Curl\ } F=\mu $, where F is a 3 × 3 matrix-valued Lp-function ($1\les p<2$) and μ a 3 × 3 matrix-valued Radon measure concentrated in a closed loop in Ω ⊂ ℝ3, or in a network of such loops (as, for instance, dislocation clusters as observed in single crystals). In particular, we study the topological nature of such dislocation singularities. It is shown that $F=\nabla u$, the absolutely continuous part of the distributional gradient Du of a vector-valued function u of special bounded variation. Furthermore, u can also be seen as a multi-valued field, that is, can be redefined with values in the three-dimensional flat torus 𝕋3 and hence is Sobolev-regular away from the singular loops. We then analyse the graphs of such maps represented as currents in Ω × 𝕋3 and show that their boundaries can be written in term of the measure μ. Readapting some well-known results for Cartesian currents, we recover closure and compactness properties of the class of maps with bounded curl concentrated on dislocation networks. In the spirit of previous work, we finally give some examples of variational problems where such results provide existence of solutions.

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Kalabikhina, Irina E., and Evgeny P. Banin. "Database “Pro-family (pronatalist) communities in the social network VKontakte”." Population and Economics 4, no. 3 (December 18, 2020): 98–130. http://dx.doi.org/10.3897/popecon.4.e60915.

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The database contains uploading text comments from the social network VKontakte in .csv format (UTF-8 encoding). The comments are collected from communities discussing pregnancy, childhood, motherhood, etc. Uploading contains comments to posts with which the interaction took place. The absolute number of likes was used as a criterion (comments were collected where the number of likes is greater than or equal to 5). Text data was pre-processed (stemmization and lemmatization). The data is suitable for thematic analysis (e.g. LDA – Latent Dirichlet Allocation), for modelling the graph structure of communities (the link_comment variable contains a unique post identifier, link_author contains a unique user identifier), for analysis of tonalities of statements and formation of a dictionary of demographic connotation in Russian. Analysis of the tonalities of statements enables measuring the dynamics of “demographic temperature” in pro-family (pronatalist) communities.

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Chen, Jue, Jinbang Chen, Junchen Ling, Junlong Zhou, and Wei Zhang. "Link Failure Recovery in SDN: High Efficiency, Strong Scalability and Wide Applicability." Journal of Circuits, Systems and Computers 27, no. 06 (February 22, 2018): 1850087. http://dx.doi.org/10.1142/s0218126618500871.

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Link failures are commonly observed in computer networks, including the newly emerging Software Defined Network (SDN). Considering that failure recovery methods used in traditional networks cannot be applied to SDN networks directly, we propose a method named pro-VLAN in this paper, which calculates a backup path and assigns a unique VLAN id for each link of the network based on the protection mechanism. It makes the most of SDN’s features and can recover a single link failure in SDN with the advantages of high efficiency, strong scalability and wide applicability. More specifically, high efficiency (i.e., a fast failure recovery with a low memory consumption) is achieved by calculating backup paths for each link instead of each flow and using group tables to switch backup paths automatically and locally when failures occur. Strong scalability (i.e., the amount of backup flow entries per switch is stable) is achieved by keeping the amount of links per switch no matter how the network scale extends or how the amount of flows increases. Wide applicability is achieved by always finding a path available without modifying any hardware or protocol as long as the network is still reachable after a link failure. Simulation results and mathematical analysis demonstrate that both pro-VLAN and a flow-based protection method achieve a fast failure recovery, while pro-VLAN consumes less than 1% of the forwarding entries to store backup paths as compared to the flow-based method. Moreover, when the network scale increases from 10 to 60 switches by 500%, the increase of the number of backup flow entries per switch built by pro-VLAN is only less than 50%.

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Milani, Elena, Emma Weitkamp, and Peter Webb. "The Visual Vaccine Debate on Twitter: A Social Network Analysis." Media and Communication 8, no. 2 (June 25, 2020): 364–75. http://dx.doi.org/10.17645/mac.v8i2.2847.

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Pro- and anti-vaccination users use social media outlets, such as Twitter, to join conversations about vaccines, disseminate information or misinformation about immunization, and advocate in favour or against vaccinations. These users not only share textual content, but also images to emphasise their messages and influence their audiences. Though previous studies investigated the content of vaccine images, there is little research on how these visuals are distributed in digital environments. Therefore, this study explored how images related to vaccination are shared on Twitter to gain insight into the communities and networks formed around their dissemination. Moreover, this research also investigated who influences the distribution of vaccine images, and could be potential gatekeepers of vaccination information. We conducted a social network analysis on samples of tweets with images collected in June, September and October 2016. In each dataset, pro- and anti-vaccination users formed two polarised networks that hardly interacted with each other, and disseminated images among their members differently. The anti-vaccination users frequently retweeted each other, strengthening their relationships, making the information redundant within their community, and confirming their beliefs against immunisation. The pro-vaccine users, instead, formed a fragmented network, with loose but strategic connections that facilitated networking and the distribution of new vaccine information. Moreover, while the pro-vaccine gatekeepers were non-governmental organisations or health professionals, the anti-vaccine ones were activists and/or parents. Activists and parents could potentially be considered as alternative but trustworthy sources of information enabling them to disseminate misinformation about vaccinations.

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Lin, Faqin. "The pro‐trade impacts of immigrants: a meta‐analysis of network effects." Journal of Chinese Economic and Foreign Trade Studies 4, no. 1 (February 8, 2011): 17–27. http://dx.doi.org/10.1108/17544401111106789.

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Blom, Nikolaj, Jan Hansen, Søren Brunak, and Dieter Blaas. "Cleavage site analysis in picornaviral polyproteins: Discovering cellular targets by neural networks." Protein Science 5, no. 11 (November 1996): 2203–16. http://dx.doi.org/10.1002/pro.5560051107.

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Safar, Anriani, Muhammad Y. Jinca, and Roland Barkey. "Analisis Prioritas Pembangunan dan Pengembangan Jaringan Jalan di Pro~Si Papua." Warta Penelitian Perhubungan 22, no. 1 (January 31, 2010): 30–44. http://dx.doi.org/10.25104/warlit.v22i1.993.

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An Analysis of Priority of Road Network Development in Papua Province (supervised bt; M.Yamin Jinca and Rol.a.nd A. Barket;)The aim of the study was to discover the condition and potential of road development and factorsaffecting its development.The study was a survey using a questionnaire to stakeholders as respondents. The data were analyzedbt; using multi criteria analysis, namely scalogram and hierarchy process.T7re results of the study indicate that the region condition affects the road network developmentespecially at the area with difficult topographic conditions (mountainous) which become the constraintin the developnrent of l.a.nd transportation. The main priority in handling the road network isregion development. The other factors are accessibility, mobz1ity and hierarchy of road network. Thethree factors are not quite different from each other, but they have a low effect on the road networkperformana!. The prioritiy of road development is from Jayapura to Wamena to Mulia, Waena toArso V, Jai;apura to Hamadi to Holtekamp to PNG Border.Keywords : Transportation network, regional development, accessibz1ity and mobilih;.

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Li, Yaofang, and Bin Wu. "Software-Defined Heterogeneous Edge Computing Network Resource Scheduling Based on Reinforcement Learning." Applied Sciences 13, no. 1 (December 29, 2022): 426. http://dx.doi.org/10.3390/app13010426.

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With the rapid development of wireless networks, wireless edge computing networks have been widely considered. The heterogeneous characteristics of the 6G edge computing network bring new challenges to network resource scheduling. In this work, we consider a heterogeneous edge computing network with heterogeneous edge computing nodes and task requirements. We design a software-defined heterogeneous edge computing network architecture to separate the control layer and the data layer. According to different requirements, the tasks in heterogeneous edge computing networks are decomposed into multiple subtasks at the control layer, and the edge computing node alliance responding to the tasks is established to perform the decomposed subtasks. In order to optimize both network energy consumption and network load balancing, we model the resource scheduling problem as a Markov Decision Process (MDP), and design a Proximal Policy Optimization (PPO) resource scheduling algorithm based on deep reinforcement learning. Simulation analysis shows that the proposed PPO resource scheduling can achieve low energy consumption and ideal load balancing.

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Klimek, Radosław. "Sensor-Enabled Context-Aware and Pro-Active Queue Management Systems in Intelligent Environments." Sensors 20, no. 20 (October 15, 2020): 5837. http://dx.doi.org/10.3390/s20205837.

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Queue systems are practically used in various institutions and commercial enterprises constituting a challenge for the intelligent environments in smart cities. The management of the flow of customers guarantees the elimination or reduction of the queues as well as the economic benefits which follow the clients’ satisfaction of a better quality of service. An intelligent queue management system has been proposed which is designed as the pro-active and context-aware ecosystem based on multiple low-level sensors and devices constituting the IoT (Internet of Things) network. The designed context-driven system is characterised by user friendliness, as well as the client behaviour recognition and understanding which generate actions that support clients, establishing wealthy environments. A prototype version of the system has been proposed which has been validated by formal analysis and simulation. This prototype can be used as a necessary experience and as a reference point when building a target system and meeting requirements typical for context-aware and pro-active systems based on IoT networks which process massive data streams.

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Gaba, Seema. "Analysis on Performance Matrices of Routing protocols of Mobile Ad-Hoc Networks." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 1526–29. http://dx.doi.org/10.22214/ijraset.2022.44092.

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Abstract: An ad-hoc network is a local area network which has been constructed to connect the one or more devices accordingly. It is a cluster of cellular mobile nodes that are collected with one-another, which form a transitory network, which means to form a temporary structure and there is no need of any permanent support. However, it will attach all nodes with the use of cellular network structure. At compile time, if there is any problem occur that will harm the network, than it can modify the channel from one node to another node. Therefore, because of greatly effective conditions to make networks in very difficult. To avoid these conditions that will harm the network, some protocols are introduced which includes the reactive routing protocols, pro-active routing protocols, cluster- based routing protocol, a hybrid-based routing protocol, Ad- hoc on demand distance routing protocol, optimized link state routing. This review paper gives the performance analysis of routing protocols based on their properties, characteristics, functions, and their shortcomings.

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Kalabikhina, Irina Evgenievna, Evgeniy Petrovich Banin, Imiliya Abduselimovna Abduselimova, German Andreevich Klimenko, and Anton Vasilyevich Kolotusha. "The Measurement of Demographic Temperature Using the Sentiment Analysis of Data from the Social Network VKontakte." Mathematics 9, no. 9 (April 28, 2021): 987. http://dx.doi.org/10.3390/math9090987.

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Social networks have a huge potential for the reflection of public opinion, values, and attitudes. In this study, the presented approach can allow to continuously measure how cold “the demographic temperature” is based on data taken from the Russian social network VKontakte. This is the first attempt to analyze the sentiment of Russian-language comments on social networks to determine the demographic temperature (ratio of positive and negative comments) in certain socio-demographic groups of social network users. The authors use generated data from the comments to posts from 314 pro-natalist groups (with child-born reproductive attitudes) and eight anti-natalist groups (with child-free reproductive attitudes) on the demographic topic, which have 9 million of users from all over Russia. The algorithm of the sentiment analysis for demographic tasks is presented in the article. In particularly, it was found that comments under posts are more suitable for analyzing the sentiment of statements than the texts of posts. Using the available data in two types of groups since 2014, we find an asynchronous structural shift in comments of the corpuses of pro-natalist and anti-natalist thematic groups. Interpretations of the evidences are offered in the discussion part of the article. An additional result of our work is two open Russian-language datasets of comments on social networks.

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Gnedash, Anna, and Veronika Katermina. "Abortion Ban in English Social Media in 2022: Pragmatic Linguistics of Online Communications." Virtual Communication and Social Networks 2022, no. 4 (December 22, 2022): 172–78. http://dx.doi.org/10.21603/2782-4799-2022-1-4-172-178.

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The present research featured the conflict discourse of online communication in social networks on the topic of abortion ban. The empirical base included 3,000,000 Twitter messages in English. The sampling by keywords women and abortion covered the period from May 1 to July 31, 2022, which saw an outburst of online and offline civic activities regarding some national anti-abortion policies. The resulting web corpus of network linguistic data (datasets) was subjected to multidimensional analysis using such methods as Data Science, mathematical modeling, relational sociology, corpus analysis, discourse analysis, etc. All these procedures combined resulted in a multidimensional comprehensive analysis of the simulated English asynchronous multimodal discursive field in Twitter. The models made it possible to visualize online communications in social networks, as well as to describe the discourse of online communication between pro-choice and pro-life. The authors analyzed the pragmatic potential of network communities on the current political agenda. The method might help to identify the conflict potential that can evolve from online communication into offline socio-political actions.

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Wakamiya, Naoki, and Masayuki Murata. "Analysis of Coupling Effect of Layered Network Control." IEICE Proceeding Series 1 (March 17, 2014): 727–30. http://dx.doi.org/10.15248/proc.1.727.

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Fujiwara, Naoya. "Network analysis of transport phenomena in flow fields." IEICE Proceeding Series 2 (March 17, 2014): 314–17. http://dx.doi.org/10.15248/proc.2.314.

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Wali, U. V., R. N. Pal, and B. Chatterjee. "On the modified nodal approach to network analysis." Proceedings of the IEEE 73, no. 3 (1985): 485–87. http://dx.doi.org/10.1109/proc.1985.13168.

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Nascimbeni, Fabio. "Una mirada hacia comunidades de aprendizaje con lentes apropiadas: sugerencias e ideas desde ciencia de redes." Education in the Knowledge Society (EKS) 14, no. 1 (February 27, 2013): 32–50. http://dx.doi.org/10.14201/eks.9441.

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El nivel de network thinking en la educación - definido como la capacidad de considerar a los sistemas de aprendizaje centrándose en las relaciones entre los actores involucrados (principalmente profesores y alumnos) y no sólo en las características de los mismos – esta sin duda creciendo, con intensidades diferentes en función de el sector educativo, pero no al ritmo necesario. En el artículo argumentamos como la investigación y las prácticas educativas deben aumentar su capacidad de mirar a las comunidades de aprendizaje a través de “lentes” capaces de ver a las redes, apoyadas por métodos apropiados como la Social Network Analysis. La aplicación de la Social Network Analysis a la educación, especialmente en el caso de la educación a distancia, puede facilitar la comprensión de los patrones de interacción de los alumnos entre sí y con los profesores, y puede facilitar la consolidación de los nuevos enfoques para comprender los mecanismos de aprendizaje colaborativo. El artículo presenta y discute - desde un punto de vista educacional - un breve resumen de las principales aportaciones teóricas y prácticas de la Social Network Analysis - como las teorías de los "random networks", de los "small-world networks " o los "weak ties" - junto con algunas propiedades generales de las redes, pensando que el dominio de estas dinámicas es muy importante para los investigadores y profesionales de la educación, para entender y apoyar el aprendizaje colaborativo de manera significativa.

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Musayyanah, Pauladie Susanto, and Weny Indah Kusumawati. "Delay Analysis in Zigbee Wireless Communication for Manipulated Data and Finger Clip Sensor Data Using Xbee Pro S2C." JEECS (Journal of Electrical Engineering and Computer Sciences) 2, no. 2 (December 29, 2017): 247–54. http://dx.doi.org/10.54732/jeecs.v2i2.149.

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Wireless Personal Area Networks have battery powered, low data rate, and low cost, that have been researched invarious fields, like Xbee Pro S2C. It can build mesh network, consist of Coordinator, Router and End Device. Xbeecan perform point to point and multipoint communication. We evaluate delay performance and data loss for bothcommunication at indoor environment, to get Xbee’s successful transmission rate. This transmission sent themanipulated data and data from sensor finger clip by End Device Node as Tranmitter to Coordinator Node asReceiver. This data is sent with different interval time, 8ms for manipulated data and 500 ms for data finger clipsensor. Definition of Delay is the difference of difference of time between first data sent and first data received.From manipulated data measurement the delay of point to point is 1,17 seconds, whereas multipoint gets 1,332seconds. For delay data finger clip measurement of multipoint is 1,34 seconds. While data loss occur in multipointcommunication, for data finger clip measurement get the loss 53,33 % and 46,67% in random quartile of data, andfor manipulated data get 3,56 % loss.

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Silva, Maurício R., Elitelma S. Souza, Pablo J. Alsina, Deyvid L. Leite, Mateus R. Morais, Diego S. Pereira, Luís B. P. Nascimento, et al. "Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area." Sensors 19, no. 22 (November 9, 2019): 4895. http://dx.doi.org/10.3390/s19224895.

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This paper presents a communication network for a squadron of unmanned aerial vehicles (UAVs) to be used in the scanning rocket impact area for Barreira do Inferno Launch Center—CLBI (Rio Grande do Norte, Brazil), aiming at detecting intruder boats. The main features of communication networks associated with multi-UAV systems are presented. This system sends information through Wireless Sensor Networks (WSN). After comparing and analyzing area scanning strategies, it presents the specification of a data communication network architecture for a squadron of UAVs within a sensor network using XBee Pro 900HP S3B modules. A brief description is made about the initial information from the construction of the system. The embedded hardware and the design procedure of a dedicated communication antenna to the XBee modules are presented. In order to evaluate the performance of the proposed architecture in terms of robustness and reliability, a set of experimental tests in different communication scenarios is carried out. Network management software is employed to measure the throughput, packet loss and other performance indicators in the communication links between the different network nodes. Experimental results allow verifying the quality and performance of the network nodes, as well as the reliability of the communication links, assessing signal received quality, range and latency.

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Muñoz Nuñez, Yeny Katherine, and Gustavo Adolfo Puerto Leguizamón. "Analysis and Design of a Long Distance Distributed Optical Sensor Network Based on FBG." Ingeniería y Desarrollo 41, no. 01 (March 13, 2023): 69–93. http://dx.doi.org/10.14482/inde.41.01.612.086.

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Optical fiber has been widely used as a transmission media for data communica-tion networks for many years. However, considering the broad advantages offered by fiber optics, research projects in this area go beyond data transmission; among the topics that can be found in this field are photonic sensors.Some characteristics decisive now in pro-moting the research of photonic sensors are the unique advantages that they offer, such as immunity to electromagnetic in-terference, its low weight and volume, and long lifetime, among others.This paper presents the design and analy-sis of a distributed optical sensors network using the largest network topology in the country, called the National Optical Fiber Project (PNFO).

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Luo, Jar-Der. "Particularistic Trust and General Trust: A Network Analysis in Chinese Organizations." Management and Organization Review 1, no. 3 (November 2005): 437–58. http://dx.doi.org/10.1111/j.1740-8784.2005.00022.x.

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In this paper, I examine the structural positions in two different types of networks and their relationship to trust. I propose two types of trust: particularistic which is trust in specific other individuals and general trust in colleagues and the organization as a whole. The findings suggest that both centrality in the friendship network and the go-between position in advice networks are related to particularistic trust towards the other individuals in the networks. Particularistic trust, in turn, is associated with the two kinds of general trust. I introduce the Chinese concept of pao to explain the Chinese dynamic of trust formation in interpersonal networks.

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Tanaka, Akiyoshi, Yutaka Shimada, Kantaro Fujiwara, and Tohru Ikeguchi. "Analysis on network topology and dynamics of information diffusion." IEICE Proceeding Series 1 (March 17, 2014): 57–60. http://dx.doi.org/10.15248/proc.1.57.

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Kim, Dongeun, Youngok Kang, Yearim Park, Nayeon Kim, Juyoon Lee, and Nahye Cho. "Analysis of Tourists’ Image of Seoul with Geotagged Photos using Convolutional Neural Networks." Proceedings of the ICA 2 (July 10, 2019): 1–8. http://dx.doi.org/10.5194/ica-proc-2-62-2019.

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Abstract. In this study we aim to analyze the urban image of Seoul that tourists feel through the photos uploaded on Flickr, which is one of Social Network Service (SNS) platforms that people can share Geo-tagged photos. We first categorize the photos uploaded on the site by tourists and then performed the image mining by utilizing Convolutional Neural Network (CNN), which is one of the artificial neural networks with deep learning capability. In this study we are able to find out that tourists are interested in old palaces, historical monuments, stores, food, etc. in which are considered to be the signatured sightseeing elements in Seoul. Those key elements are differentiated from the major sightseeing attractions within Seoul. The purpose of this study is two folds: First, we analyze the image of Seoul by applying the technology of image mining with the photos uploaded on Flickr by tourists. Second, we draw some significant sightseeing factors by region of attraction where tourists prefer to visit within Seoul.

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Cama-Pinto, Alejandro, Gabriel Piñeres-Espitia, José Caicedo-Ortiz, Elkin Ramírez-Cerpa, Leonardo Betancur-Agudelo, and Francisco Gómez-Mula. "Received strength signal intensity performance analysis in wireless sensor network using Arduino platform and XBee wireless modules." International Journal of Distributed Sensor Networks 13, no. 7 (July 2017): 155014771772269. http://dx.doi.org/10.1177/1550147717722691.

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Today, through the monitoring of agronomic variables, the wireless sensor networks are playing an increasingly important role in precision agriculture. Among the emerging technologies used to develop prototypes related to wireless sensor network, we find the Arduino platform and XBee radio modules from the DIGI Company. In this article, based on field tests, we conducted a comparative analysis of received strength signal intensity levels, calculation of path loss with “log-normal shadowing” and free-space path loss models. In addition, we measure packet loss for different transmission, distances and environments with respect to an “Arduino Mega” board, and radio modules XBee PRO S1 and XBee Pro S2. The tests for the packet loss and received strength signal intensity level show the best performance for the XBee Pro S2 in the indoor, outdoor, and rural scenarios.

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Rovinskaya, T. "Liquid Democracy: Pro et Contra." World Economy and International Relations, no. 12 (2014): 60–69. http://dx.doi.org/10.20542/0131-2227-2014-12-60-69.

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The paper suggests the general analysis of the so called liquid democracy – the newest political concept which combines the elements of direct (deliberative) and representative democracy forms, by means of the modern information-network technology (based on internet). Brief historical review of the world democratic developments emphasizes the continuity of democratic forms from ancient to present times in all parts of Europe, including Russia. The modern liquid democracy theory is analyzed concerning both its strengths and weaknesses. As far as it unites direct and representative democracy concepts, it contains the advantages of both, but at the same time, multiple theoretical and practical problems need to be solved, many technical solutions are to be found to make the concept work. The main question raised in the article is: should this new concept be regarded as a real practical solution to improve the present-day state of world democracy, or is it just another utopian idea?

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Shimokawa, Tetsuya, Kenji Leibnitz, and Ferdinand Peper. "Complex Network Analysis of Retinotopic Maps in the Human Brain." IEICE Proceeding Series 2 (March 17, 2014): 122–25. http://dx.doi.org/10.15248/proc.2.122.

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Nguyen-Van, Phu, Anne Stenger, and Tuyen Tiet. "Social incentive factors in interventions promoting sustainable behaviors: A meta-analysis." PLOS ONE 16, no. 12 (December 8, 2021): e0260932. http://dx.doi.org/10.1371/journal.pone.0260932.

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Based on a meta-analysis, this paper highlights the strength and relevance of several social incentive factors concerning pro-environmental behaviors, including social influence, network factors (like network size, network connection and leadership), trust in others, and trust in institutions. Firstly, our results suggest that social influence is necessary for the emergence of pro-environmental behaviors. More specifically, an internal social influence (i.e., motivating people to change their perceptions and attitudes) is essential to promote pro-environmental behaviors. Secondly, network connection encourages pro-environmental behaviors, meaning that the effectiveness of a conservation policy can be improved if connections among individuals are increased. Finally, trust in institutions can dictate individual behaviors to shape policy design and generate desired policy outcomes.

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Bailes, Amy F., Jacob Kean, Paul H. Gross, Unni Narayanan, Garey Noritz, Ed Hurvitz, Jeffrey Leonard, Michele Shusterman, and Mary Gannotti. "The cerebral palsy research network: Building a learning health network for cerebral palsy." Journal of Pediatric Rehabilitation Medicine 14, no. 2 (June 25, 2021): 161–71. http://dx.doi.org/10.3233/prm-210011.

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PURPOSE: The purpose of this study was to measure the growth of the Cerebral Palsy (CP) Research Network towards becoming a Learning Health Network in order to guide future development. METHODS: Thirteen CP Research Network leaders completed the Network Maturity Grid (NMG) which consists of six domains with eight to 10 components each. The six domains are Systems of Leadership, Governance and Management, Quality Improvement, Engagement and Community, Data and Analytics, and Research. Radar mapping was utilized to display mean scores on a 5-point ordinal scale (1 = not started to 5 = idealized state) across domains and for individual components within domains. Consensus was reached for top priorities for the next 3–5 years. RESULTS: Domain scores ranged from 2.4 in Quality Improvement to 3.2 in System of Leadership. The lowest scoring component was clinician clinical decision support and the highest was common purpose. The following priority areas of focus were agreed upon moving forward: development of leaders, financial sustainability, quality improvement education and training, patient reported data, data quality and validation, and primary data collection. CONCLUSION: Results from this project will be utilized for strategic planning to improve the network. Conducting regular self-assessments of the network with the NMG will be useful in achieving the network’s ultimate goal to improve care and outcomes for individuals with CP.

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Omelchenko, O. M., M. Y. Makarchuk, M. P. Bondarenko, and O. V. Bondarenko. "Partial deactivation of default-mode brain network during simple motor task execution." Fiziolohichnyĭ zhurnal 68, no. 2 (March 11, 2022): 3–8. http://dx.doi.org/10.15407/fz68.02.003.

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We used model based functional MRI independent component analysis approach for the detection and characterization of the described networks functioning during simple motor task execution. Direct connection between the task execution and anticorrelated functional connectivity of sensory-motor and default mode networks was shown. We observed blood oxygenation level dependent signal (BOLD) frequency characteristics of the default mode network (DMN) together with the sensory motor network (SMN). The results demonstrate a reproducible specific configuration of BOLD low-frequency spectrum. Neural network BOLD spectral pro㌳le approach may be used for future analysis of its functioning and dynamics rules of brain regions connectivity. Regions of precuneus and posterior cingulate cortex were shown to deactivate just partially. Sensorimotor and default-mode networks were functionally connected in the anticorrelated manner with the prevailing frequencies of the BOLD signal oscillation f1 = 0.0153 ± 0.0051 Hz and f2 = 0.0204 ± 0.0051 Hz, where f – frequency of BOLD oscillation. At our study we have found out, that only some separate parts of pC and PCC were deactivated during the task execution. This possibly might support the hypothesis that non deactivated regions of precuneus (pC) and posterior cingulate cortex (PCC) remain active to regulate the transitions from the activated state to the deactivated and back while monitoring the external environment and commands. The last may support the hypothesis of the role of posterior cingulate cortex as a “hub” in default mode networks where non deactivated parts remain active for further control of others default mode networks region state switching.

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Pedrollo, Laysa Fernanda Silva, and Kelly Graziani Giacchero Vedana. "Suicide and grief: quantitative analysis of brazilian publications on Twitter." Revista Portuguesa de Enfermagem de Saúde Mental, no. 26 (December 1, 2021): 59–74. http://dx.doi.org/10.19131/rpesm.310.

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Background: The approach of suicide and suicide grief in online environments is a reality that goes along with technological advances. Used by their users as spaces for expression, social networks are increasingly being a unique source of information for researchers. In this scenario, Twitter establishes itself as an important object of analysis for understanding the experience on the social network with emphasis on approaches in relation to the themes of suicide and grief, in order to reflect the impacts and implications for the mental health of its users. Aim: Analyze the publications of Brazilian public profiles related to thematic of suicide and grief on social network Twitter. Methods: Retrospective, documentary research with a quantitative approach that analyzed 1.645 Brazilian publications on Twitter using descriptive statistics, association tests and Multiple Logistic Regression Analysis. Results: Publications addressing famous people without comments, shares, or likes predominated. Profiles that expressed suicidal behavior on Twitter were more likely to feature pro-suicidal content in their publications. Conclusions: Twitter is a social network used by its users to discuss suicide and grief, however, with little approach to questions about suicide prevention and prevention. The network stands out for its unique characteristics, on the part of its users and the usability provided, which allows the publication of content and interactions on these topics in a varied and little investigated ways.

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Journal articles on the topic 'Analytic Network Pro'

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