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Статті в журналах з теми "CERNA NETWORK"
Qi, Xin, Yuxin Lin, Jiajia Chen, and Bairong Shen. "Decoding competing endogenous RNA networks for cancer biomarker discovery." Briefings in Bioinformatics 21, no. 2 (January 30, 2019): 441–57. http://dx.doi.org/10.1093/bib/bbz006.
Повний текст джерелаHsiao, Yi-Wen, Lin Wang, and Tzu-Pin Lu. "ceRNAR: An R package for identification and analysis of ceRNA-miRNA triplets." PLOS Computational Biology 18, no. 9 (September 9, 2022): e1010497. http://dx.doi.org/10.1371/journal.pcbi.1010497.
Повний текст джерелаJayarathna, Dulari K., Miguel E. Rentería, Emilie Sauret, Jyotsna Batra, and Neha S. Gandhi. "Identifying Complex lncRNA/Pseudogene–miRNA–mRNA Crosstalk in Hormone-Dependent Cancers." Biology 10, no. 10 (October 9, 2021): 1014. http://dx.doi.org/10.3390/biology10101014.
Повний текст джерелаChen, Chen, Li Wang, Qiuju Feng, Qi Liu, Li Wang, and Shuming Huang. "Comprehensive Landscape of Modules-Dysregulated Functions Reveals a Profound Role of ceRNAs in Coronary Heart Disease." Journal of Healthcare Engineering 2022 (March 8, 2022): 1–10. http://dx.doi.org/10.1155/2022/4547413.
Повний текст джерелаLiang, Ying-Chun, Yu-Peng Wu, Dong-Ning Chen, Shao-Hao Chen, Xiao-Dong Li, Xiong-Lin Sun, Yong Wei, Xu Ning, and Xue-Yi Xue. "Building a Competing Endogenous RNA Network to Find Potential Long Non-Coding RNA Biomarkers for Pheochromocytoma." Cellular Physiology and Biochemistry 51, no. 6 (2018): 2916–24. http://dx.doi.org/10.1159/000496043.
Повний текст джерелаYe, Hongwei, Yuping Li, Lu Li, Yuhui Huang, Jiahui Wang, and Qin Gao. "Construction of a ceRNA network of regulated ferroptosis in doxorubicin-induced myocardial injury." PeerJ 11 (January 25, 2023): e14767. http://dx.doi.org/10.7717/peerj.14767.
Повний текст джерелаSheng, Han, Huan Pan, Ming Yao, Longsheng Xu, Jianju Lu, Beibei Liu, Jianfen Shen, and Hui Shen. "Integrated Analysis of Circular RNA-Associated ceRNA Network Reveals Potential circRNA Biomarkers in Human Breast Cancer." Computational and Mathematical Methods in Medicine 2021 (December 20, 2021): 1–16. http://dx.doi.org/10.1155/2021/1732176.
Повний текст джерелаWang, Chao, Kunkai Su, Hanchao Lin, Beini Cen, Shusen Zheng, and Xiao Xu. "Identification and Verification of a Novel MAGI2-AS3/miRNA-374-5p/FOXO1 Network Associated with HBV-Related HCC." Cells 11, no. 21 (November 2, 2022): 3466. http://dx.doi.org/10.3390/cells11213466.
Повний текст джерелаAn, Biao, Yuan Hu, and Xiao Liang. "Integrated Analysis of the lncRNA-Associated ceRNA Network in Wilms Tumor via TARGET and GEO Databases." Genetics Research 2022 (August 31, 2022): 1–12. http://dx.doi.org/10.1155/2022/2365991.
Повний текст джерелаYe, Junhong, Jifu Li, and Ping Zhao. "Roles of ncRNAs as ceRNAs in Gastric Cancer." Genes 12, no. 7 (July 2, 2021): 1036. http://dx.doi.org/10.3390/genes12071036.
Повний текст джерелаДисертації з теми "CERNA NETWORK"
Cavalazzi, Marco Carlo. "Enterprise Social Networks: The Case of CERN." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11560/.
Повний текст джерелаRiksem, Hans-Even Ramsevik. "Design and Implementation of an Efficient, Reliable and Safe Work-Package Database System at CERN." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for telematikk, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-12175.
Повний текст джерелаPapadopoulos, S. "Optical network design, modelling and performance evaluation for the upgraded LHC at CERN." Thesis, University College London (University of London), 2013. http://discovery.ucl.ac.uk/1390672/.
Повний текст джерелаLippitsch, Angelika [Verfasser]. "A Deformation Analysis Method for the Metrological ATLAS Cavern Network at CERN / Angelika Lippitsch." Aachen : Shaker, 2007. http://d-nb.info/1166511103/34.
Повний текст джерелаSilva, Leandro Pereira da. "Leannet : uma arquitetura que utiliza o contexto da cena para melhorar o reconhecimento de objetos." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2018. http://tede2.pucrs.br/tede2/handle/tede/8168.
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Computer vision is the science that aims to give computers the capability of see- ing the world around them. Among its tasks, object recognition intends to classify objects and to identify where each object is in a given image. As objects tend to occur in particular environments, their contextual association can be useful to improve the object recognition task. To address the contextual awareness on object recognition task, the proposed ap- proach performs the identification of the scene context separately from the identification of the object, fusing both information in order to improve the object detection. In order to do so, we propose a novel architecture composed of two convolutional neural networks running in parallel: one for object identification and the other to the identification of the context where the object is located. Finally, the information of the two-streams architecture is concatenated to perform the object classification. The evaluation is performed using PASCAL VOC 2007 and MS COCO public datasets, by comparing the performance of our proposed approach with architectures that do not use the scene context to perform the classification of the ob- jects. Results show that our approach is able to raise in-context object scores, and reduces out-of-context objects scores.
A vis?o computacional ? a ci?ncia que permite fornecer aos computadores a ca- pacidade de verem o mundo em sua volta. Entre as tarefas, o reconhecimento de objetos pretende classificar objetos e identificar a posi??o onde cada objeto est? em uma imagem. Como objetos costumam ocorrer em ambientes particulares, a utiliza??o de seus contex- tos pode ser vantajosa para melhorar a tarefa de reconhecimento de objetos. Para utilizar o contexto na tarefa de reconhecimento de objetos, a abordagem proposta realiza a iden- tifica??o do contexto da cena separadamente da identifica??o do objeto, fundindo ambas informa??es para a melhora da detec??o do objeto. Para tanto, propomos uma nova arquite- tura composta de duas redes neurais convolucionais em paralelo: uma para a identifica??o do objeto e outra para a identifica??o do contexto no qual o objeto est? inserido. Por fim, a informa??o de ambas as redes ? concatenada para realizar a classifica??o do objeto. Ava- liamos a arquitetura proposta com os datasets p?blicos PASCAL VOC 2007 e o MS COCO, comparando o desempenho da abordagem proposta com abordagens que n?o utilizam o contexto. Os resultados mostram que nossa abordagem ? capaz de aumentar a probabili- dade de classifica??o para objetos que est?o em contexto e reduzir para objetos que est?o fora de contexto.
Fraticelli, Chiara. "Λc reconstruction with artificial neural networks". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/19985/.
Повний текст джерелаPimentel, Ana Cristina de Lima. "A Rede Cegonha em cena: algumas controvérsias sobre uma corrente de cuidados especiais." Universidade do Estado do Rio de Janeiro, 2014. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=7056.
Повний текст джерелаA Rede Cegonha foi uma iniciativa pública governamental instituída em 2011 com o foco na atenção à saúde materna e infantil. Surgiu enquanto uma promessa de campanha e foi constituída oficialmente no mandato de Dilma Rousseff que a caracterizaria como uma corrente de cuidados especiais. O processo de constituição desta agenda política foi perpassado por controvérsias que evidenciavam diferenças sobre o que seria uma agenda pública de saúde voltada para as mulheres, além de divergências sobre o como se construir uma política de saúde na área da mulher. Assim, em torno destas controvérsias a própria concepção de saúde da mulher e saúde reprodutiva estavam em debate. A perspectiva de configuração da política é compreendida dinamicamente, desnaturalizando a própria concepção de Estado, abandonando o pressuposto de sua universalidade. Assim, observar a dinâmica de constituição da Rede Cegonha, entendendo-a enquanto um processo aberto. De outro modo, as controvérsias também funcionaram como uma entrada no estudo da própria política, funcionando como um forjar estranho. Os adversários contribuem para a desconstrução de verdades, assim, práticas e crenças são colocadas em análise. Para esta finalidade alguns procedimentos metodológicos foram escolhidos. O primeiro deles foi a pesquisa em dois blogs que se destacaram por acolher e divulgar opiniões sobre a Rede Cegonha. Também foram realizadas entrevistas a atores-chave e realizada leituras de documentos oficiais da política. A trajetória de constituição da política é narrada em dois pontos. O primeiro construído a partir da fala daqueles que contribuíram na sua formulação e/ou execução da política. O segundo a partir de uma fala que a confronta. Ambas apresentações serão cotejadas pelos documentos públicos oficiais. O processo de constituição da Rede Cegonha foi perpassado por controvérsias sobre diferentes concepções de políticas de saúde reprodutiva. Novos sujeitos políticos se articularam a partir destas controvérsias, tal seja, movimentos pro-vida, movimentos pela humanização do parto, blogueiras maternistas, movimentos feministas se posicionaram neste processo.
Rede Cegonha was a government public initiative established in 2011 with the focus on attention to maternal and child health. Emerged as a campaign promise and was officially incorporated in the Rousseffs mandate that would characterize as "stream of special care". The process of formation of this policy agenda was permeated by controversies which exhibited differences on what would be a public health agenda focused on women, as well as disagreements over how to make health policy in the area of women. Thus, these controversies surrounding the conception of women's health and reproductive health were debated. The prospect of policy configuration is dynamically understood, by denaturalizing the concept of the State, abandoning the assumption of universality of the State. Thus observe the dynamics of constitution of Rede Cegonha, understanding it as an open process . On the other hand, disputes also functioned as an entry in the study of politics itself, acting as a forge " weird." Opponents contribute to the deconstruction of truths , thus practices and beliefs are put into analysis. For this purpose some methodological procedures were chosen . The first was the research on two blogs that stood out to welcome and disseminate opinions about Rede Cegonha. Interviews were also carried out to key stakeholders and held readings of official policy documents. The trajectory this policy is told in two points. The first was constructed from the speech of those who contributed to its formulation and or implementation of policy. The second from a speech that confronts. Both presentations will be complemented by the official public documents. The process of establishment of the Rede Cegonha was permeated by controversies about different conceptions of reproductive health policies. New political subjects were articulated from these controversies, this is, pro-life movements, movements for the humanization of birth, Mom Bloguers, feminist movements have positioned themselves in the process.
Haas, Stefan. "The IEEE 1355 Standard : developments, performance and application in high energy physics." Thesis, University of Liverpool, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367130.
Повний текст джерелаSidebo, Edvin. "Charged particle distributions and robustness of the neural network pixel clustering in ATLAS." Licentiate thesis, KTH, Partikel- och astropartikelfysik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190858.
Повний текст джерелаSpår från elektriskt laddade partiklar rekonstrueras i ATLAS genom att kombinera mätningar från de innersta subdetektorerna. I de extrema miljöer som skapas i proton-proton-kollisionerna i Large Hadron Collider vid CERN är det av yttersta vikt att algoritmen för att rekonstruera spår är högpresterande. Uppgiften är särskilt svår i partikelrika miljöer där flera partiklar färdas nära varandra, åtskilda av avstånd jämförbara med storleken på detektorns utläsningselement. Ett artificiellt neuralt nätverk används i algoritmen för att klassificera mätdata från pixeldetektorn, belägen närmast interaktionspunkten, för att lyckas identifiera spår i partikelrika miljöer som annars hade gått förlorade. I denna avhandling utreds det neurala nätverkets stabilitet. Dess känslighet studeras genom att manuellt manipulera dess indata och därefter utvärdera dess resultat. Nätverket tränas med simulerad data. Variationerna i indata är utformade för att undersöka skillnader mellan data och simulering, orsakade av osäkerheter i simuleringsmodellen eller osäkerheter i pixeldetektorns kalibrering. Av de undersökta variationerna har en osäkerhet i skalan eller utläsningströskeln för pixeldetektorns kalibrering den största effekten på nätverkets resultat. Andra variationer har en betydligt mindre påverkan. Avhandlingen presenterar också en studie av distributioner av elektriskt laddade partiklar producerade i proton-proton-kollisioner. Det är en av de första studierna av partikeldistributioner för Large Hadron Colliders andra körning med mass-centrum-energi √s = 13 TeV. Mätningen är begränsad till fasrymden definierad av en transversell rörelsemängd pT > 100 MeV, och absolut rapiditet |η| < 2.5. Spår av partiklar rekonstrueras och korrigeras för detektorns ineffektiviteter för att presenteras på partikelnivå. Dessa jämförs sedan med förutsägelser från olika modeller. Modellerna EPOS och Pythia 8 A2 är generellt de som bäst överensstämmer med data. Författaren har undersökt partiklar som migrerar in och ut ur fasrymden. Andelen spår associerade till partiklar som migrerat utifrån uppskattas med simulerad data, till som mest 10% nära fasrymdens gränser. Osäkerheten på denna andel uppskattas till att vara som mest 4.5%, huvudsakligen orsakad av osäkerheten på mängden material i de innersta subdetektorerna.
QC 20160817
Surappa-Narayanappa, Ananth Prakash. "The evolution, modifications and interactions of proteins and RNAs." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/269851.
Повний текст джерелаКниги з теми "CERNA NETWORK"
1994, Altherr Tanguy d., Aurenche P, Veneziano G, and Sorba P, eds. From thermal field theory to neural networks: A day to remember Tanguy Altherr, Cern, 4 November 1994. Singapore: World Scientific, 1996.
Знайти повний текст джерелаLazar, Jonathan. Understanding web credibility: A synthesis of the research literature. Hanover: Now Publishers, 2007.
Знайти повний текст джерелаFrom Thermal Field Theory to Neural Networks: A Day to Remember Tanguy Altherr : Cern 4 November 1994. World Scientific Pub Co Inc, 1996.
Знайти повний текст джерелаLazar, Jonathan. Understanding Web Credibility: A Synthesis of the Research Literature. Now Publishers, 2007.
Знайти повний текст джерелаЧастини книг з теми "CERNA NETWORK"
Wan, Xiangyuan, and Ziwen Li. "Computational Identification of ceRNA and Reconstruction of ceRNA Regulatory Network Based on RNA-seq and Small RNA-seq Data in Plants." In Modeling Transcriptional Regulation, 261–75. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1534-8_17.
Повний текст джерелаGuo, Jiaxin, Yize Liu, Fu Li, Rong Qin, Langlang Zhang, Chao Gao, and Xiaohong He. "Screening of Key Genes in Retinoblastoma and Construction of ceRNA Regulatory Network." In Biomedical and Computational Biology, 147–68. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25191-7_12.
Повний текст джерелаHulboj, Milosz Marian, and Ryszard Erazm Jurga. "CERN Investigation of Network Behaviour and Anomaly Detection." In Lecture Notes in Computer Science, 353–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04342-0_21.
Повний текст джерелаLopez-Miguel, Ignacio D., Borja Fernández Adiego, Faiq Ghawash, and Enrique Blanco Viñuela. "Verification of Neural Networks Meets PLC Code: An LHC Cooling Tower Control System at CERN." In Engineering Applications of Neural Networks, 420–32. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34204-2_35.
Повний текст джерелаCano, Juan-Carlos, Dongkyun Kim, and Pietro Manzoni. "CERA: Cluster-Based Energy Saving Algorithm to Coordinate Routing in Short-Range Wireless Networks." In Information Networking, 306–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45235-5_30.
Повний текст джерелаBrolli, Tiziana. "Il canis ingens, il Capricorno e l’aragosta nella Cena Trimalchionis." In Antichistica. Venice: Fondazione Università Ca’ Foscari, 2021. http://dx.doi.org/10.30687/978-88-6969-557-5/008.
Повний текст джерелаXie, Iris. "Interactive IR in Web Search Engine Environments." In Interactive Information Retrieval in Digital Environments, 83–115. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-240-4.ch004.
Повний текст джерелаDe Lucca, Valeria. "The Teatro Colonna (1682–1686)." In The Politics of Princely Entertainment, 234–77. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190631130.003.0008.
Повний текст джерелаBellucci, A., A. Malizia, and P. Diaz. "The Anatomy of Web 2.0." In Quality and Communicability for Interactive Hypermedia Systems, 36–63. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-763-3.ch003.
Повний текст джерелаBecker, Richard C., and Frederick A. Spencer. "Historical Perspectives in Hemostasis, Coagulation, and Fibrinolysis: A Foundation for Understanding Thrombotic Disorders and Developing Effective Treatment." In Fibrinolytic and Antithrombotic Therapy. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195155648.003.0005.
Повний текст джерелаТези доповідей конференцій з теми "CERNA NETWORK"
Pellegrino, R., F. Ticconi, B. Skawran, M. Castoldi, P. Schirmacher, I. Costa, and T. Longerich. "LINC00152 drives a ceRNA network in human hepatocellular carcinoma." In 36. Jahrestagung der Deutschen Arbeitsgemeinschaft zum Studium der Leber. Georg Thieme Verlag KG, 2020. http://dx.doi.org/10.1055/s-0039-3402246.
Повний текст джерелаK. Biwott, Felix, Nini Rao, Changlong Dong, and Fenglin Gao. "Construction of Dysregulated lncRNA-Associated ceRNA Network in Atrial Fibrillation." In ICBBT '21: 2021 13th International Conference on Bioinformatics and Biomedical Technology. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3473258.3473278.
Повний текст джерелаChen, Dayuan, Fan Chen, Peng Guo, and Hongbo Chen. "LncRNA LINC00665 affected gastric cancer through Mir-9-5p according to CeRNA network analysis." In Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), edited by Ming Chen and Gangmin Ning. SPIE, 2023. http://dx.doi.org/10.1117/12.2687538.
Повний текст джерелаFrank, Pablo, and Jose Incera. "A Neural Network Based Test Bed for Evaluating the Quality of Video Streams in IP Networks." In 2006 Electronics, Robotics and Automotive Mechanics Conference. IEEE, 2006. http://dx.doi.org/10.1109/cerma.2006.7.
Повний текст джерелаIbánez, Susana Rivera, Raúl Aquino Santos, Victor Rangel Licea, Arthur Edwards Block, and Miguel Ángel García Ruiz. "Hybrid WiFi-WiMAX Network Routing Protocol." In 2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA). IEEE, 2008. http://dx.doi.org/10.1109/cerma.2008.24.
Повний текст джерелаAlarcón-Paredes, Antonio, and Amadeo-José Argüelles-Cruz. "CAINN - Weightless Alpha-Beta Neural Network." In 2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA). IEEE, 2008. http://dx.doi.org/10.1109/cerma.2008.94.
Повний текст джерелаPerez, Jose P., Jorge A. Gonzalez, Rogelio Soto, and Joel Perez. "Trajectory Tracking of Complex Dynamical Network for Delayed Recurrent Neural Network via Control V-Stability." In 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference (CERMA). IEEE, 2010. http://dx.doi.org/10.1109/cerma.2010.9.
Повний текст джерелаRodriguez, Nibaldo, and Claudio Cubillos. "Orthogonal Neural Network Based Predistortion for OFDM Systems." In Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007). IEEE, 2007. http://dx.doi.org/10.1109/cerma.2007.4367690.
Повний текст джерелаPonce, Hiram, and Pedro Ponce. "Artificial Organic Networks." In 2011 IEEE Electronics, Robotics and Automotive Mechanics Conference (CERMA). IEEE, 2011. http://dx.doi.org/10.1109/cerma.2011.12.
Повний текст джерелаShoaie, M. A., S. Meroli, S. Machado, and D. Ricci. "Evolving trends in CERN optical fibre infrastructure." In 2017 19th International Conference on Transparent Optical Networks (ICTON). IEEE, 2017. http://dx.doi.org/10.1109/icton.2017.8024940.
Повний текст джерела