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Academic literature on the topic 'Analytic Network Pro'

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Published: 1 April 2023

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Journal articles on the topic "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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Dissertations / Theses on the topic "Analytic Network Pro"

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Brilová, Lenka. "Využití sociálních sítí pro zvýšení konkurenceschopnosti firmy." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-192397.

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This master thesis deals with the field of possibilities of using social networks to increase competitiveness. In first part there are theoretically explained terms such as social network, social media and then there is described possibility to use social networks in business. The thesis includes theoretical treatment procedure entry of the company on social networks and describes appropriate monitoring and analyzing tools. The practical part is focused on dance club Beton, there are made the critical analysis of current attitudes of the club forward to social network, competitive analysis and comparison between Beton's and competitor's social network activities. The last part is devoted to selection appropriate monitoring tool and designed a social media monitoring system.
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Hojdysz, Tomáš. "Aplikace neuronových sítí pro podnikatelský záměr." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222125.

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This Master's thesis deals with neural networks application possibilities in business proposal and its further implementation in real company. Resulting application is used to ease customer's choice of specific components. A Neural networks has been processed in development system of MATLAB.
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Fejfar, Ondřej. "Možnosti využití sociálních sítí pro podporu seriálu závodů RunCzech." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-203783.

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This thesis deals with the issue of social networks in terms of business support and their use for commercial purposes. Based on long-term statistics from the most widely used social networks in the Czech Republic, this thesis describes the main principles of using these social networks as a means of increasing profit or turnover. Particular attention is paid to Facebook, the leading social network in the online world. This study concerns the combination of marketing and the IT world, which nowadays has a key role in the sale of products and services. This study should show the importance of the combination of these two worlds. The practical part of the study is the analysis of the communication of the RunCzech Running League (formerly the Prague International Marathon), including a detailed analysis of one their competitors on the market. For the analysis appropriate metrics were selected, which were measured using special tools. The conclusion includes a comprehensive evaluation and presents suggestions for more effective future communication of the RunCzech running leagues in the field of social networking.
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Ševčík, Martin. "Využití prostředků umělé inteligence pro podporu na kapitálových trzích." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223601.

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This diploma thesis describes issues of use of means of artificial intelligence for the decision making support on stock market. It includes theoretical knowledge of technical, fundamental and psychological analysis and artificial intelligence. Based on these facts have been created specific suggestions for the use of artificial neural networks to forecast the future value of the index S&P 500 by using development environment of the MATLAB software.
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Vondruška, Pavel. "Možnosti a podmínky využití sociálních sítí pro zvýšení konkurenceschopnosti." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-124671.

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The diploma thesis is focused on the social networking sites in terms of their use for increasing the competitiveness of companies. The first part deals with a theoretical introduction to social networks where the basic concepts are defined and then characterized by major networks globally. Each social network is analyzed both in terms of the structure of its users, and are listed as individual options, which provides for promotion within their system - they are mentioned both paid and unpaid opportunities. At the end of this section are described the general possibilities of using social networking for business - ways to measure the impact of these activities, risks and requirements of their operation within the company. The second part is a practical solution to use social networks to support the selected e-commerce business. The introduction provides basic parameters of the e-shop is defined by the competitive environment. The analysis carried out various solutions to various social networks. It is designed and implemented their own social network to the target audience the company. The practical part ends with a final report including recommendations for further progress in the use of social networks. The main contribution of the paper is to present a detailed analysis of selected enterprise communication on social networks, including putting all the relevant data from which the conclusion can be drawn in specific recommendations to further enhance competitiveness.
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Horák, Vít. "Možnosti a podmínky použití nástrojů pro analýzu chování zákazníků na sociálních sítích." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-262037.

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The thesis deals with free tools that can be used to analyze customers of SMB e-commerce enterprises on the social network Facebook in order to increase their competitiveness within the social network. The theoretical part focuses on defining key terms, distinguishes types of social media and describes present social networks situation in world and in the Czech Republic from a users perspective and in the Czech Republic also from an enterprises perspective. Furthermore, the theoretical part also deals with possibilities that social networks can offer to the SMB enterprises. And as well it identifies different types of analytical tools that can be used for purposes of monitoring customers or analysis of customers. In the beginning of the practical part there is introduced the company Dobrutka.EU s.r.o. (the e commerce B2C company). Afterwards is presented the analysis of the survey about how SMB companies that operate the best Czech e-shops monitor and analyze their activities and customers from the social network Facebook. Subsequently there is handled the selection of appropriate tools for SME companies, which are also analyzed in the following chapter. At the end of the practical part there is practical application of knowledge from the thesis to Dobrutka.EU s.r.o. through the design and pilot deployment of appropriate procedures and analytic tools, whose effectiveness is evaluated at the end of chapter. The main benefit is in act of finding and verification of free tools and effective method that allows for detailed analysis of company customers even for micro companies and thus also effectively achieve positive economic results even in emerging facebook presentations.
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Gaborčík, Michal. "Autonomní poruchový záznamník navržený pro distribuční trafostanice." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220934.

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This master’s thesis deals with realization of fault recorder designed for a distribution transformer station. In theoretical part is created research about operation of distribution transformer stations and about analytic methods, which gives bases for fault detection in power network. The practical part consists of design and realization of fault recorder in LabVIEW interface using CompactDAQ measurement platform. Purpose of this recorder is monitoring and recording of voltage and current waveforms on secondary side of transformer station during the fault in high voltage network. Principle of fault detection is primarily based on level monitoring of voltage negative symmetrical component. Fault recorder has been successively optimized and the final version is presented in this thesis. At the end functionality of designed system is evaluated on simulated fault in a model of high voltage network.
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Nešpor, Jan. "Možnosti využití sociálních sítí pro podporu podnikání." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193904.

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This thesis deals with the possibilities of using social networks for increasing the competitiveness of the company. The theoretical part defines basic terms that are closely related to social networks. First part is focused on social media and their usage in Czech or European companies which is supported by statistical data. Another part of the thesis focuses on the world most common social networks and their usage in relation to Competitive Intelligence. The last chapter of the theoretical part deals with analytics and monitoring tools. The practical part of the thesis contains competitive research on the company Antee and its major competitors in social networks usage. The main output of the practical part is based on the thorough analysis and it proposes strategy on a successful entrance into social networks for Antee.
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Veselský, Štěpán. "Využití Facebooku a Google AdWords pro budování značky." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-124699.

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This Diploma Thesis' main subject is Internet marketing. Its main objective is suggesting and realizing an online marketing campaign focused on using Facebook and Google AdWords in order to building brand awareness of a small business. This effort is followed by an analysis of its results. The contribution should be apparent to all the marketers of other small businesses, who find themselves in similar situation and try to solve it by using modern online marketing tools and channels. The thesis is divided into two main sections. The first covers necessary theoretical bases of online marketing, the next one puts the theoretical knowledge into practice of a real small company, Saloon Exclusive. The ending summarizes the outcomes for the company and suggests some next steps.
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Brožek, Jan. "Strojové zpracování časoprostorových dat pro potřeby územního plánování." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2020. http://www.nusl.cz/ntk/nusl-409804.

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The diploma thesis deals with the processing of raw data from vehicle tracking by means of GPS in order to obtain traffic quantities as a possible source of data for traffic surveys and subsequent analysis in the field of traffic modeling.
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Books on the topic "Analytic Network Pro"

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Shimonski, Robert J. Sniffer Pro: Network optimization & troubleshooting handbook. Rockland, MA: Syngress, 2002.

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Ramirez, Ricardo. Understanding farmers' communication networks: Combining PRA with agricultural knowledge systems analysis. London: International Institute for Environment and Development, 1997.

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D’Attoma, Sara. Famiglie interrotte Violenza domestica e divorzio nella recente legislazione della Repubblica Popolare Cinese. Venice: Fondazione Università Ca’ Foscari, 2022. http://dx.doi.org/10.30687/978-88-6969-602-2.

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Gender-based violence perpetrated within the family is an issue of global importance. It is no coincidence that the statistics on domestic violence committed during the ongoing pandemic have shown it as a worrying phenomenon crossing national borders and social levels. In China the consideration of domestic violence as an element of destabilisation of the family unit is rather recent. In fact, the traditional patriarchal values on which the Chinese family based its relations considered intra-family violence – particularly towards women – an accepted and fully integrated component in the normal course of relations among people belonging to the same lineage. The Pandora’s Box, which for centuries has concealed and neglected the problem, has only been uncovered since the Fourth World Conference on Women held in Beijing in 1995, which started the debate on the issue of gender-based violence and brought China to draw up annual reports on the female condition. The inclusion of the category “domestic violence” in a national law dates back to 2001 (Marriage Law) and the first ad hoc legislation to 2016. The relationship between domestic violence, social and family stability was the leitmotif that accompanied the official documents of the legislative process that led to the drafting of the Law against Domestic Violence of the PRC. This latter has focused on a prevention network aiming primarily to empower civil society, but overshadowing mere legal instruments. By analysing all the phases of this legislative process, the book aims to reflect on the regulatory instruments – in particular, divorce and the system of protection orders – and on the features of these institutions created to limit and control the problem of family violence. Furthermore, this analysis will provide insights into the social and linguistic implications that the issue of domestic violence has determined in China in the past up to nowadays.
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Sniffer Pro Network Optimization and Troubleshooting Handbook. Syngress, 2002.

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Shumate, Michelle, and Katherine R. Cooper. Networks for Social Impact. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190091996.001.0001.

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Networks for Social Impact is a broad review of how nonprofits, businesses, and governments work together to tackle social problems. The book takes a systems approach to explain how networks make a social impact, and when they are unlikely to do so. It argues that network design and management is not a one-size-fits-all formula. Instead, the type of social issue, the mechanism for social impact, environment, and resources available each determine appropriate choices. Drawing on research from public administration, psychology, business, network science, social work, and communication, it synthesizes what we know about how to best design and manage networks. It includes illustrations from 30 original case studies; they describe groups of organizations addressing issues such as gender-based violence, educational outcomes, senior care, veterans’ services, mental health and wellness, and climate change. Additionally, the volume describes critical issues that leaders address in creating and managing networks, including social issue analysis, network governance, securing and managing funding, dealing with power and conflict, using data effectively, and managing change. Each chapter includes tools for network leaders to use to handle these issues. This book is neither a Pollyannaish, pro-collaboration account of the benefits of network approaches, nor is it a critical view of these efforts. Instead, it highlights the opportunities and challenges of networks.
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Acesprint. Summary and Analysis of Go Pro: Seven Steps to Becoming a Network Marketing Professional by Eric Worre. Independently Published, 2021.

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Krawatzek, Félix. Interpreting Text as Discourse or Using Text as Data. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198826842.003.0002.

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This chapter presents a new multi-level investigation of discourse that combines network analysis with qualitative content analysis. This book is the first to employ this method for multi-linguistic comparative research. The chapter first develops an understanding of discourse, which seeks to address some of the challenges discourse analysis has faced. It then describes the sources, the sampling procedure, the process of qualitative content analysis, and the logic of the applied coding scheme. A final section introduces details of the discourse network analysis, which combines the unique insight of qualitative interpretation, and the structural insights derived through the rigour of network analysis. This combination can pre-empt some of the concerns that critics have voiced about new quantitative approaches to analysing text. Its added value lies in the identification of clusters in the network, which point to discursive formations that structure meaning.
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Krawatzek, Félix. The Russian Federation after the ‘Colour Revolutions’. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198826842.003.0004.

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The mobilization by young people in the Russian Federation illuminates an important part of the stabilization of the country’s authoritarian regime structures from 2005 to 2011. First the political developments of the episode are contextualized by contrasting the regime’s insecurity in 2005 with the situation by 2011. After discussing the socio-political context of young people during the post-Soviet transition years, the chapter explores the findings from the discourse network analysis. Public discourse and political mobilization interact and the chapter discusses the spectrum of politically involved youth from pro-Kremlin groups to the very diverse opposition, including liberal democratic movements, fascists, and communists. It is argued that the regime’s success in capturing control over youth discourse and young people was critical in the consolidation of Vladimir Putin’s power.
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Bell, Jeffrey. A Dog’s Life: Thought, Symbols and Concepts. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474429566.003.0009.

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Recent work in the philosophy of language has emphasized the importance of ‘stimulus-independent’ representational abilities in understanding both the nature of concepts and the extent to which concepts play a role in the thoughts of non-humans. This recent work dovetails in significant and interesting ways with Terrence Deacon’s work on symbols and with more recent work in continental philosophy on symbolism, language, actor-network theory, and analytic work in the philosophy of skill. It is in light of this work that this chapter revisit Whitehead’s book Symbolism: Its Meaning and Effect. In particular, it argues that the claim of many commentators, both early and late, that Whitehead is a panpsychist is a mistake, and relies upon an understanding of experience and subjectivity that Whitehead seeks to account for rather than presuppose. In his account of experience and subjectivity, it is rather a non-subjective, pre-individual process of individuation that allows for the possibility of an identifiable subjective experience, and hence for the claims of panpsychism. Whitehead’s understanding and account of these processes is able to account for an indeterminate variety of types and degrees of experience, and in a way that avoids both a reductive materialism and a reductive panpsychism.
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Vijeyarasa, Ramona. The Woman President. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192848918.001.0001.

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Abstract Too much attention is paid to the absence of women leaders around the world rather than their presence, leaving a gap in our understanding of the difference women leaders make on the lives of fellow women. With women leaders an under-studied group and with the law profoundly important in advancing women’s rights, The Woman President brings together these two domains to become the first-ever comparative study of women’s leadership and the law. It offers the legal and political science scholarship new ways for understanding the impact of female presidential leadership on women’s everyday lives by analysing the legal legacies of four women presidents: Corazon Aquino (1986–1992), Gloria Macapagal Arroyo (2001–2010), Megawati Sukarnoputri (2001–2004) and Chandrika Bandaranaike Kumaratunga (1994–2005). The book relies on aninnovative methodology, which includes the use of new the Gender Legislative Index. The findings challenge and expand our understanding of what constitutes a woman’s issue, bringing within its analysis labour law reform, democracy, anti-corruption, poverty-alleviation and pro-peace interventions, alongside more oft-considered terrain such as gender-based violence, reproductive rights, gender equality quotas and women’s rights at work. This book also offers important insights into the institutional and social mechanisms that enable women leaders to lead for women, including women’s movements, women legislators, women bureaucrats and global networks of women presidents and prime ministers. The Woman President offers new tools and sharpens old ones to provide an essential comparative contribution to our knowledge about the dynamics and impact of female presidencies, drawing from the realities of the Asia region.
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Book chapters on the topic "Analytic Network Pro"

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Wei, Ge. "Epistemic network analysis." In Reimaging Pre-Service Teachers' Practical Knowledge, 92–109. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003304111-6.

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Fiedelholtz. "Pre-incident Planning and Analysis." In The Cyber Security Network Guide, 1–2. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61591-8_1.

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Stordahl, Kjell, Leif Aarthun Ims, and Borgar Tørre Olsen. "Risk analysis of PNO and cable operator upgrades." In Broadband Access Networks, 277–94. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5795-1_19.

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Moussaileb, Routa, Nora Cuppens, Jean-Louis Lanet, and Hélène Le Bouder. "Ransomware Network Traffic Analysis for Pre-encryption Alert." In Foundations and Practice of Security, 20–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45371-8_2.

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Surya, S. R., and S. R. Resmi. "Deep Neural Network Architecture for Face Mask Detection Against COVID-19 Pandemic Using Pre-trained Exception Network." In Computational Intelligence and Data Analytics, 273–82. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3391-2_20.

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Scherz, Wilhelm Daniel, Juan Antonio Ortega, Ralf Seepold, and Natividad Martínez Madrid. "Stress Determent via QRS Complex Detection, Analysis and Pre-processing." In Mobile Networks for Biometric Data Analysis, 225–34. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39700-9_18.

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Hirose, Shoichi, Yu Sasaki, and Hirotaka Yoshida. "Lesamnta-LW Revisited: Improved Security Analysis of Primitive and New PRF Mode." In Applied Cryptography and Network Security, 89–109. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57808-4_5.

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Belhi, Abdelhak, Hosameldin Osman Ahmed, Taha Alfaqheri, Abdelaziz Bouras, Abdul Hamid Sadka, and Sebti Foufou. "Study and Evaluation of Pre-trained CNN Networks for Cultural Heritage Image Classification." In Data Analytics for Cultural Heritage, 47–69. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66777-1_3.

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Pontarelli, Salvatore, and Simone Teofili. "Anti-evasion Technique for Packet Based Pre-filtering for Network Intrusion Detection Systems (Poster)." In Traffic Monitoring and Analysis, 185–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20305-3_18.

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Prota, Laura, and Maria Prosperina Vitale. "A Pre-specified Blockmodeling to Analyze Structural Dynamics in Innovation Networks." In Studies in Classification, Data Analysis, and Knowledge Organization, 221–29. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06692-9_24.

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Conference papers on the topic "Analytic Network Pro"

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Magalhães, Luiz Claudio Schara, and Diogo Menezes Ferrazani Mattos. "Caracterização do Uso de uma Rede Sem Fio de Grande Porte Distribuída por uma Ampla Área." In XVII Workshop em Desempenho de Sistemas Computacionais e de Comunicação. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/wperformance.2018.3326.

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Managing wireless networks is challenging due to the requirement of ensuring good performance while coexisting with other networks. This paper analyses a production wireless network that is also used for research. The wireless network at Universidade Federal Fluminense uses home grown technology which was funded by RNP in the SCIFI work group, which is composed of a software controller and low cost access points compatible with OpenWRT. The analysis of the wireless network is performed modeling the network as a directed graph, in which nodes are the access points and edges represent vicinity. Algorithms for choosing the wireless channel in order to maximize performance by minimizing interference both by access points which are controlled or not by the system. The characteristics of associations of user devices to the wireless network are shown. The results of the analysis show that, after the installation of new channel, up to 75% of unmanaged networks in the vicinity of an access point switch their channel to adapt to the new wireless configuration.
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Dharia, Saumil, Vijesh Jain, Jvalant Patel, Jainikkumar Vora, Rizen Yamauchi, Magdalini Eirinaki, and Iraklis Varlamis. "PRO-Fit: Exercise with friends." In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2016. http://dx.doi.org/10.1109/asonam.2016.7752437.

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Yekani Fard, Masoud, Samuel Perrino, and Conor Hedman. "Stochastic Analysis of the Carbon Nanotube Network Interphase in Dry and Pre-Infused Buckypaper." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95523.

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Abstract Assembling CNTs into a thin film Buckypaper (BP) effectively creates high CNT content nanocomposites. BP consists of entangled CNT networks with a porous 3D structure in which CNTs are randomly distributed. The interaction between the dispersed CNT and the polymer or between the CNT network and the surrounding polymer occurs via interphase. The interphase is the region between two constituents and has different local morphology and properties than the constituents. The morphology and properties of the interphase between the CNT network and polymer have not been given enough attention in the literature. Atomic Force Microscopy-based Peak Force Quantitative Nanomechanics Mapping (PFQNM) technique has been used to characterize the CNT network interphase at the nanoscale with high lateral resolution. Probe actual stiffness, tip radius, tapping force, deformation level, and deflection sensitivity for heterogeneous BP are discussed. The nano-scale material properties are extracted from the DMT contact mechanic’s model. The authors show that reduced modulus and deformation can examine the interphase zone thickness and properties. Weibull model is used to investigate the distribution of an interphase thickness and the size of the CNT network.
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Zhou, Yuqian. "Pro-ISIS fanboys network analysis and attack detection through Twitter data." In 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA). IEEE, 2017. http://dx.doi.org/10.1109/icbda.2017.8078846.

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Souza, Bruno Á., Alice A. F. Menezes, Carlos M. S. Figueiredo, Fabíola G. Nakamura, and Eduardo F. Nakamura. "Detecção de Categorias de Aspectos Utilizando Redes Neurais Profundas em Avaliações Online." In VII Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/brasnam.2018.3582.

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Virtual environments such as online stores (e.g. Amazon, Google Play and Booking) adopt a collaborative strategy of evaluation and reputation, where users classify products and services. User's opinion represents the satisfaction level of a rated item. The set of ratings of an item is a reference to its reputation/quality. Therefore, the automatic identification of a usersatisfaction related to an item, considering its textual evaluation, is a tool with singular economic potential. With deep learning researches evolution in sentiment analysis based in aspects, opportunities to apply several neural networks in this context arisen. However, the data representation models applied in these works focus only on Embeddings pre-trained networks as a way to perform feature extraction. In this way, this work aims to present a comparison between data representation techniques and deep networks approaches, to analyze which of them have better results in classifying categories of aspects. Thus, we can seethat TF-IDF with a Convolution Neural Network (CNN) had an F1 measure of 0.93%, being at least 0.02% higher than the others approaches applied in this work.
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de Hoop, Stephan, and Denis Voskov. "Fast and Robust Scheme for Uncertainty Quantification in Naturally Fractured Reservoirs." In SPE Reservoir Simulation Conference. SPE, 2021. http://dx.doi.org/10.2118/203968-ms.

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Abstract The main objective of this study is to perform Uncertainty Quantification (UQ) using a detailed representation of fractured reservoirs. This is achieved by creating a simplified representation of the fracture network while preserving the main characteristics of the high-fidelity model. We include information at different scales in the UQ workflow which allows for a large reduction in the computational time while converging to the high-fidelity full ensemble statistics. Ultimately, it allows us to make accurate predictions on geothermal energy production in highly heterogeneous fractured porous media. The numerical reservoir simulation tool we use in this work is the Delft Advanced Research Terra Simulator (DARTS). It is based on Finite Volume approximation in space, fully coupled explicit approximation in time, and uses the novel linearization technique called Operator-Based Linearization (OBL) for the system of discretized nonlinear governing equations. We use a fracture network generation algorithm that uses distributions for length, angles, size of fracture sets, and connectivity as its main input. This allows us to generate a large number of complex fracture networks at the reservoir scale. We developed a pre-processing algorithm to simplify the fracture network and use graph theory to analyze the connectivity before and after pre-processing. Furthermore, we use metric space modeling methods for statistical analysis. A robust coarsening method for the Discrete Fracture Matrix model (DFM) is developed which allows for great control over the degree of simplification of the network’s topology and connectivity. We apply the framework to modeling of geothermal energy extraction. The pre-processing algorithm allows for a hierarchical representation of the fracture network, which in turn is utilized in the reduced UQ methodology. The reduced UQ workflow uses the coarser representation of the fracture networks to partition/rank the high-fidelity parameter space. Then a small subset of high-fidelity models is chosen to represent the full ensemble statistics. Hereby, the computational time of the UQ is reduced by two/three orders of magnitude, while converging to similar statistics as the high-fidelity full ensemble statistics. The methods developed in this study are part of a larger project on a prediction of energy production from carboniferous carbonates. The final goal is to perform UQ in pre-salt reservoirs which are characterized by complex reservoir architecture (i.e., large karstification and fracture networks). The UQ of fractured reservoirs is typically done in the petroleum industry using effective media models. We present a methodology that can efficiently handle a large ensemble of DFM models, which represent complex fracture networks and allow for making decisions under uncertainty using more detailed high-resolution numerical models.
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Yang, Yi, Hejie Cui, and Carl Yang. "Pre-train Graph Neural Networks for Brain Network Analysis (Extended Abstract)." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020314.

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Santos, Douglas V., Thiago C. Cunha, Antônio B. O. Silva, Fernando S. Parreiras, and Orlando A. Gomes. "Comparação de Técnicas de Predição de Links em Sub-redes de Coautoria Formada por Currículos da Plataforma Lattes." In VI Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2017. http://dx.doi.org/10.5753/brasnam.2017.3251.

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The study of Lattes platform allows addressing and analyzing Brazil researchers network which could be useful for defining politics to improve science, technology, and innovation. This work evaluated Lattes Platform coauthorship network. This network evolves over time, which means that new coauthorships will arise in future. Therefore, using link prediction methods in this network would help to identify growing knowledge areas in Brazil. The used technics were Spectral Evolution, wich is new in this context, Common Neighbors, Adamic-Adar and Jaccard. The main goal was to evaluate the link prediction accuracy with different methods at the coauthorship network of Lattes Platform. The Spectral Evolution was worse than the others. Adamic-Adar method presented the best result - 817 times better than the random link prediction.
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Almeida, Gustavo R. T., Isabelle Guimarães, Antonio F. L. Jacob Jr., and Fábio M. F. Lobato. "Fontes de dados gerados por usuários: quais plataformas considerar?" In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/brasnam.2020.11160.

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É inegável a pervasividade das mídias sociais em nosso cotidiano, tanto que o fácil acesso e a sensação de anonimato influenciou usuários a compartilharem ativamente suas opiniões. Como consequência, o crescimento exponencial do volume de dados gerou novos desafios em relação a seleção de estudos de caso e formas de coleta dos dados. Neste contexto, uma classificação das mídias sociais para facilitar o reconhecimento de suas estruturas e fluxos de dados pode otimizar processos de seleção e coleta de dados. No presente estudo é conduzido um levantamento das mídias sociais online mais relevantes e que disponibilizam conteúdo gerado pelos usuários. Também, apresentam-se os mecanismos de acesso de dados destas mídias, suas características e funcionalidades identificadas. Como impacto direto do estudo destaca-se a perspectiva mais ampla na busca de fontes de dados, de modo a reduzir o viés de pesquisa e permitir uma maior diversidade nos estudos de fenômenos socioeconômicos.
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Zhan, Tiffany. "Hyper-Parameter Tuning in Deep Neural Network Learning." In 8th International Conference on Artificial Intelligence and Applications (AI 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121809.

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Deep learning has been increasingly used in various applications such as image and video recognition, recommender systems, image classification, image segmentation, medical image analysis, natural language processing, brain–computer interfaces, and financial time series. In deep learning, a convolutional neural network (CNN) is regularized versions of multilayer perceptrons. Multilayer perceptrons usually mean fully connected networks, that is, each neuron in one layer is connected to all neurons in the next layer. The full connectivity of these networks makes them prone to overfitting data. Typical ways of regularization, or preventing overfitting, include penalizing parameters during training or trimming connectivity. CNNs use relatively little pre-processing compared to other image classification algorithms. Given the rise in popularity and use of deep neural network learning, the problem of tuning hyperparameters is increasingly prominent tasks in constructing efficient deep neural networks. In this paper, the tuning of deep neural network learning (DNN) hyper-parameters is explored using an evolutionary based approach popularized for use in estimating solutions to problems where the problem space is too large to get an exact solution.
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Reports on the topic "Analytic Network Pro"

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Soloviev, Vladimir, Victoria Solovieva, Anna Tuliakova, Alexey Hostryk, and Lukáš Pichl. Complex networks theory and precursors of financial crashes. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4119.

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Based on the network paradigm of complexity in the work, a systematic analysis of the dynamics of the largest stock markets in the world and cryptocurrency market has been carried out. According to the algorithms of the visibility graph and recurrence plot, the daily values of stock and crypto indices are converted into a networks and multiplex networks, the spectral and topological properties of which are sensitive to the critical and crisis phenomena of the studied complex systems. This work is the first to investigate the network properties of the crypto index CCI30 and the multiplex network of key cryptocurrencies. It is shown that some of the spectral and topological characteristics can serve as measures of the complexity of the stock and crypto market, and their specific behaviour in the pre-crisis period is used as indicators- precursors of critical phenomena.
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Stevenson, G. Analysis of Pre-Trained Deep Neural Networks for Large-Vocabulary Automatic Speech Recognition. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1289367.

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Pina, Eduardo A., Luis M. Serra, Miguel A. Lozano, Adrián Hernández, and Ana Lázaro. Solar DH – network hydraulics and supply points. IEA SHC Task 55, October 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0008.

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The present factsheet summarizes the study ”Comparative Analysis and Design of Solar Based Parabolic Trough - ORC Cogeneration Plant for a Commercial Centre” performed by the Universidad de Zaragoza (Spain) and published in 2020 [1]. Two novel solar based PTC-ORC cogeneration systems, producing power and cooling, were pre-designed, considering commercially available pieces of equipment, to cover the annual energy demands of a commercial centre located in Zaragoza (Spain).
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Hotsur, Oksana. SOCIAL NETWORKS AND BLOGS AS TOOLS PR-CAMPAIGN IMPLEMENTATIONS. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11110.

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The article deals with the ways in which social networks and the blogosphere influence the formation and implementation of a PR campaign. Examples from the political sphere (election campaigns, initiatives), business (TV brands, traditional and online media) have revealed the opportunities that Facebook, Telegram, Twitter, YouTube and blogs promote in promoting advertising, ideas, campaigns, thoughts, or products. Author blogs created on special websites or online media may not be as much of a tool in PR as an additional tool on social media. It is noted that choosing a blog as the main tool of PR campaign has both positive and negative points. Social networks intervene in the sphere of human life, become a means of communication, promotion, branding. The effectiveness of social networks has been evidenced by such historically significant events as Brexit, the Arab Spring, and the Revolution of Dignity. Special attention was paid to the 2019 presidential election. Based on the analysis of individual PR campaigns, the reasons for successful and unsuccessful campaigns from the point of view of network communication, which provide unlimited multimedia and interactive tools for PR, are highlighted. In fact, these concepts significantly affect the effectiveness of the implementation of PR-campaign, its final effectiveness, which is determined by the achievement of goals. Attention is drawn to the culture of communication during the PR campaign, as well as the concepts of “trolls”, “trolling”, “bots”, “botoin industry”. The social communication component of these concepts is unconditional. Choosing a blog as the main tool of a marketing campaign has both positive and negative aspects. Only a person with great creative potential can run and create a blog. In addition, it takes a long time. In fact, these two points are losing compared to other internet marketing tools. Further research is interesting in two respects. First, a comparison of the dynamics of the effectiveness of PR-campaign tools in Ukraine in 2020 and in the past, in particular, at the dawn of state independence. Secondly, to investigate how/or the concept of PR-campaigns in social networks and blogs is constantly changing.
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Li, Nan, HJ Zhu, and T. Yang. Effects of different Pre-transplant therapy on the outcome after transplantation of patients with myelodysplastic syndrome: A Network Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2023. http://dx.doi.org/10.37766/inplasy2023.3.0027.

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Russo, Margherita, Fabrizio Alboni, Jorge Carreto Sanginés, Manlio De Domenico, Giuseppe Mangioni, Simone Righi, and Annamaria Simonazzi. The Changing Shape of the World Automobile Industry: A Multilayer Network Analysis of International Trade in Components and Parts. Institute for New Economic Thinking Working Paper Series, January 2022. http://dx.doi.org/10.36687/inetwp173.

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In 2018, after 25 years of the North America Trade Agreement (NAFTA), the United States requested new rules which, among other requirements, increased the regional con-tent in the production of automotive components and parts traded between the three part-ner countries, United States, Canada and Mexico. Signed by all three countries, the new trade agreement, USMCA, is to go into force in 2022. Nonetheless, after the 2020 Presi-dential election, the new treaty's future is under discussion, and its impact on the automo-tive industry is not entirely defined. Another significant shift in this industry – the acceler-ated rise of electric vehicles – also occurred in 2020: while the COVID-19 pandemic largely halted most plants in the automotive value chain all over the world, at the reopen-ing, the tide is now running against internal combustion engine vehicles, at least in the an-nouncements and in some large investments planned in Europe, Asia and the US. The definition of the pre-pandemic situation is a very helpful starting point for the analysis of the possible repercussions of the technological and geo-political transition, which has been accelerated by the epidemic, on geographical clusters and sectorial special-isations of the main regions and countries. This paper analyses the trade networks emerg-ing in the past 25 years in a new analytical framework. In the economic literature on inter-national trade, the study of the automotive global value chains has been addressed by us-ing network analysis, focusing on the centrality of geographical regions and countries while largely overlooking the contribution of countries' bilateral trading in components and parts as structuring forces of the subnetwork of countries and their specific position in the overall trade network. The paper focuses on such subnetworks as meso-level structures emerging in trade network over the last 25 years. Using the Infomap multilayer clustering algorithm, we are able to identify clusters of countries and their specific trades in the automotive internation-al trade network and to highlight the relative importance of each cluster, the interconnec-tions between them, and the contribution of countries and of components and parts in the clusters. We draw the data from the UN Comtrade database of directed export and import flows of 30 automotive components and parts among 42 countries (accounting for 98% of world trade flows of those items). The paper highlights the changes that occurred over 25 years in the geography of the trade relations, with particular with regard to denser and more hierarchical network gener-ated by Germany’s trade relations within EU countries and by the US preferential trade agreements with Canada and Mexico, and the upsurge of China. With a similar overall va-riety of traded components and parts within the main clusters (dominated respectively by Germany, US and Japan-China), the Infomap multilayer analysis singles out which com-ponents and parts determined the relative positions of countries in the various clusters and the changes over time in the relative positions of countries and their specialisations in mul-tilateral trades. Connections between clusters increase over time, while the relative im-portance of the main clusters and of some individual countries change significantly. The focus on US and Mexico and on Germany and Central Eastern European countries (Czech Republic, Hungary, Poland, Slovakia) will drive the comparative analysis.
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Wu, Ming-Kung, and Ping-Tao Tseng. Efficacy of different interventions to reduce pre- or perioperative blood transfusion rate in patients with colorectal cancer: A network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2021. http://dx.doi.org/10.37766/inplasy2021.4.0143.

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Nechaev, V., Володимир Миколайович Соловйов, and A. Nagibas. Complex economic systems structural organization modelling. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1118.

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One of the well-known results of the theory of management is the fact, that multi-stage hierarchical organization of management is unstable. Hence, the ideas expressed in a number of works by Don Tapscott on advantages of network organization of businesses over vertically integrated ones is clear. While studying the basic tendencies of business organization in the conditions of globalization, computerization and internetization of the society and the results of the financial activities of the well-known companies, the authors arrive at the conclusion, that such companies, as IBM, Boeing, Mercedes-Benz and some others companies have not been engaged in their traditional business for a long time. Their partner networks performs this function instead of them. The companies themselves perform the function of system integrators. The Tapscott’s idea finds its confirmation within the framework of a new powerful direction of the development of the modern interdisciplinary science – the theory of the complex networks (CN) [2]. CN-s are multifractal objects, the loss of multifractality being the indicator of the system transition from more complex state into more simple state. We tested the multifractal properties of the data using the wavelet transform modulus maxima approach in order to analyze scaling properties of our company. Comparative analysis of the singularity spectrumf(®), namely, the difference between maximum and minimum values of ® (∆ = ®max ¡ ®min) shows that IBM company is considerably more fractal in comparison with Apple Computer. Really, for it the value of ∆ is equal to 0.3, while for the vertically integrated company Apple it only makes 0.06 – 5 times less. The comparison of other companies shows that this dependence is of general character. Taking into consideration the fact that network organization of business has become dominant in the last 5-10 years, we carried out research for the selected companies in the earliest possible period of time which was determined by the availability of data in the Internet, or by historically later beginning of stock trade of computer companies. A singularity spectrum of the first group of companies turned out to be considerably narrower, or shifted toward the smaller values of ® in the pre-network period. The latter means that dynamic series were antipersistant. That is, these companies‘ management was rigidly controlled while the impact of market mechanisms was minimized. In the second group of companies if even the situation did changed it did not change for the better. In addition, we discuss applications to the construction of portfolios of stock that have a stable ratio of risk to return.
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Li, Li, Joseph Burger, Nurit Katzir, Yaakov Tadmor, Ari Schaffer, and Zhangjun Fei. Characterization of the Or regulatory network in melon for carotenoid biofortification in food crops. United States Department of Agriculture, April 2015. http://dx.doi.org/10.32747/2015.7594408.bard.

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The general goals of the BARD research grant US-4423-11 are to understand how Or regulates carotenoid accumulation and to reveal novel strategies for breeding agricultural crops with enhanced β-carotene level. The original objectives are: 1) to identify the genes and proteins in the Or regulatory network in melon; 2) to genetically and molecularly characterize the candidate genes; and 3) to define genetic and functional allelic variation of these genes in a representative germplasm collection of the C. melo species. Or was found by the US group to causes provitamin A accumulation in chromoplasts in cauliflower. Preliminary genetic study from the Israeli group revealed that the melon Or gene (CmOr) completely co-segregated with fruit flesh color in a segregating mapping population and in a wide melon germplasm collection, which set the stage for the funded research. Major conclusions and achievements include: 1). CmOris proved to be the gene that controls melon fruit flesh color and represents the previously described gflocus in melon. 2). Genetic and molecular analyses of CmOridentify and confirm a single SNP that is responsible for the orange and non-orange phenotypes in melon fruit. 3). Alteration of the evolutionarily conserved arginine in an OR protein to both histidine or alanine greatly enhances its ability to promote carotenoid accumulation. 4). OR promotes massive carotenoid accumulation due to its dual functions in regulating both chromoplast biogenesis and carotenoid biosynthesis. 5). A bulk segregant transcriptome (BSRseq) analysis identifies a list of genes associated with the CmOrregulatory network. 6). BSRseq is proved to be an effective approach for gene discovery. 7). Screening of an EMS mutation library identifies a low β mutant, which contains low level of carotenoids due to a mutation in CmOrto produce a truncated form of OR protein. 8). low β exhibits lower germination rate and slow growth under salt stress condition. 9). Postharvest storage of fruit enhances carotenoid accumulation, which is associated with chromoplast development. Our research uncovers the molecular mechanisms underlying the Or-regulated high level of carotenoid accumulation via regulating carotenoidbiosynthetic capacity and storage sink strength. The findings provide mechanistic insights into how carotenoid accumulation is controlled in plants. Our research also provides general and reliable molecular markers for melon-breeding programs to select orange varieties, and offers effective genetic tools for pro-vitamin A enrichment in other important crops via the rapidly developed genome editing technology. The newly discovered low β mutant could lead to a better understanding of the Or gene function and its association with stress response, which may explain the high conservation of the Or gene among various plant species.
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Canellas, Joao Vitor, Fabio Ritto, and Paul Tiwana. Comparative efficacy and safety of pharmacological interventions to reduce inflammatory complications after mandibular third molar surgery: a systematic review and network meta-analysis protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2021. http://dx.doi.org/10.37766/inplasy2021.7.0069.

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Review question / Objective: This systematic review aims to compare the effects of different drugs to reduce postoperative inflammatory complications (pain, edema, and trismus) after mandibular third molar surgery by applying a frequentist network meta-analysis approach. To this end, the proposed study will answer the following questions: 1) Among diverse drugs currently available, which postoperative pharmacological regimen is the most efficient to reduce pain after mandibular third molar surgery? 2) Is the pre-emptive analgesia effective in reducing pain immediately after the mandibular third molar surgery? In this case, 3) Which preoperative pharmacological regimen is the most efficient? 4) Among diverse corticosteroids currently available, what is the best option to control the edema induced by the surgery? 5) What is the optimal dose and route of administration of corticosteroids prior to mandibular third molar surgery to control the pain/ edema induced by the surgery? Condition being studied: Inflammatory complications after mandibular third molar surgery (Pain, edema, and trismus).
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