Academic literature on the topic 'Generation of negative triples'
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Journal articles on the topic "Generation of negative triples":
Vallée-Tourangeau, Frédéric, Neville G. Austin, and Sandra Rankin. "Inducing a Rule in Wason's 2–4–6 Task: A Test of the Information-Quantity and Goal-Complementarity Hypotheses." Quarterly Journal of Experimental Psychology Section A 48, no. 4 (November 1995): 895–914. http://dx.doi.org/10.1080/14640749508401422.
Vallée-Tourangeau, Frédéric. "Utilities in the 2-4-6 Task." Experimental Psychology 59, no. 5 (May 1, 2012): 265–71. http://dx.doi.org/10.1027/1618-3169/a000152.
Wang, Liuquan. "Arithmetic identities and congruences for partition triples with 3-cores." International Journal of Number Theory 12, no. 04 (April 10, 2016): 995–1010. http://dx.doi.org/10.1142/s1793042116500627.
Tierno, Domenico, Gabriele Grassi, Serena Scomersi, Marina Bortul, Daniele Generali, Fabrizio Zanconati, and Bruna Scaggiante. "Next-Generation Sequencing and Triple-Negative Breast Cancer: Insights and Applications." International Journal of Molecular Sciences 24, no. 11 (June 2, 2023): 9688. http://dx.doi.org/10.3390/ijms24119688.
Wu, Jiande, Tarun K. K. Mamidi, Lu Zhang, and Chindo Hicks. "Delineation of the Germline and Somatic Mutation Interaction Landscape in Triple-Negative and Non-Triple-Negative Breast Cancer." International Journal of Genomics 2020 (July 7, 2020): 1–16. http://dx.doi.org/10.1155/2020/2641370.
Lin, Po‐Han, Ming Chen, Li‐Wei Tsai, Chiao Lo, Tzu‐Chun Yen, Thomas Yoyan Huang, Chih‐Kai Chen, Sheng‐Chih Fan, Sung‐Hsin Kuo, and Chiun‐Sheng Huang. "Using next‐generation sequencing to redefine BRCAness in triple‐negative breast cancer." Cancer Science 111, no. 4 (February 19, 2020): 1375–84. http://dx.doi.org/10.1111/cas.14313.
Wu, Jiande, Tarun Karthik Kumar Mamidi, Lu Zhang, and Chindo Hicks. "Unraveling the Genomic-Epigenomic Interaction Landscape in Triple Negative and Non-Triple Negative Breast Cancer." Cancers 12, no. 6 (June 12, 2020): 1559. http://dx.doi.org/10.3390/cancers12061559.
Raftery, Martin J., Alexander Sebastian Franzén, Clarissa Radecke, Abdelhadi Boulifa, Günther Schönrich, Sebastian Stintzing, Jens-Uwe Blohmer, and Gabriele Pecher. "Next Generation CD44v6-Specific CAR-NK Cells Effective against Triple Negative Breast Cancer." International Journal of Molecular Sciences 24, no. 10 (May 20, 2023): 9038. http://dx.doi.org/10.3390/ijms24109038.
Zhang, Zhenghang, Jinlu Jia, Yalin Wan, Yang Zhou, Yuting Kong, Yurong Qian, and Jun Long. "TransR*: Representation learning model by flexible translation and relation matrix projection." Journal of Intelligent & Fuzzy Systems 40, no. 5 (April 22, 2021): 10251–59. http://dx.doi.org/10.3233/jifs-202177.
Ben-Baruch, Noa, Tamar Peretz-Yablonski, Georgeta Fried, Moshe J. Inbar, Yousef Samih, Victoria Neiman, Bella Nisenbaum, et al. "Next-generation sequencing (NGS) in relapsed/refractory triple-negative breast cancer (TNBC) in Israel." Journal of Clinical Oncology 32, no. 15_suppl (May 20, 2014): 1028. http://dx.doi.org/10.1200/jco.2014.32.15_suppl.1028.
Dissertations / Theses on the topic "Generation of negative triples":
Vitiello, Adriana. "Generation and characterization of HSV-1 based oncolytic viruses towards an innovative therapeutic approach for TNBC." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3422208.
Vougiouklis, Pavlos. "Neural generation of textual summaries from knowledge base triples." Thesis, University of Southampton, 2019. https://eprints.soton.ac.uk/428045/.
Islam, Md Kamrul. "Explainable link prediction in large complex graphs - application to drug repurposing." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0203.
Many real-world complex systems can be well-represented with graphs, where nodes represent objects or entities and links/relations represent interactions between pairs of nodes. Link prediction (LP) is one of the most interesting and long-standing problems in the field of graph mining; it predicts the probability of a link between two unconnected nodes based on available information in the current graph. This thesis studies the LP problem in graphs. It consists of two parts: LP in simple graphs and LP knowledge graphs (KGs). In the first part, the LP problem is defined as predicting the probability of a link between a pair of nodes in a simple graph. In the first study, a few similarity-based and embedding-based LP approaches are evaluated and compared on simple graphs from various domains. he study also criticizes the traditional way of computing the precision metric of similarity-based approaches as the computation faces the difficulty of tuning the threshold for deciding the link existence based on the similarity score. We proposed a new way of computing the precision metric. The results showed the expected superiority of embedding-based approaches. Still, each of the similarity-based approaches is competitive on graphs with specific properties. We could check experimentally that similarity-based approaches are fully explainable but lack generalization due to their heuristic nature, whereas embedding-based approaches are general but not explainable. The second study tries to alleviate the unexplainability limitation of embedding-based approaches by uncovering interesting connections between them and similarity-based approaches to get an idea of what is learned in embedding-based approaches. The third study demonstrates how the similarity-based approaches can be ensembled to design an explainable supervised LP approach. Interestingly, the study shows high LP performance for the supervised approach across various graphs, which is competitive with embedding-based approaches.The second part of the thesis focuses on LP in KGs. A KG is represented as a collection of RDF triples, (head,relation,tail) where the head and the tail are two entities which are connected by a specific relation. The LP problem in a KG is formulated as predicting missing head or tail entities in a triple. LP approaches based on the embeddings of entities and relations of a KG have become very popular in recent years, and generating negative triples is an important task in KG embedding methods. The first study in this part discusses a new method called SNS to generate high-quality negative triples during the training of embedding methods for learning embeddings of KGs. The results we produced show better LP performance when SNS is injected into an embedding approach than when injecting state-of-the-art negative triple sampling methods. The second study in the second part discusses a new neuro-symbolic method of mining rules and an abduction strategy to explain LP by an embedding-based approach utilizing the learned rules. The third study applies the explainable LP to a COVID-19 KG to develop a new drug repurposing approach for COVID-19. The approach learns ”ensemble embeddings” of entities and relations in a COVID-19 centric KG, in order to get a better latent representation of the graph elements. For the first time to our knowledge, molecular docking is then used to evaluate the predictions obtained from drug repurposing using KG embedding. Molecular evaluation and explanatory paths bring reliability to prediction results and constitute new complementary and reusable methods for assessing KG-based drug repurposing. The last study proposes a distributed architecture for learning KG embeddings in distributed and parallel settings. The results of the study that the computational time of embedding methods improves remarkably without affecting LP performance when they are trained in the proposed distributed settings than the traditional centralized settings
Genz, Adrian P. "Operational Amplifier Bandwidth Extension Using Negative Capacitance Generation." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1383.pdf.
Thilleul, Olivia. "Negative lift generation in a tidal device structure." Thesis, Cranfield University, 2009. http://dspace.lib.cranfield.ac.uk/handle/1826/8292.
McLenaghan, Joanna Siân. "Negative frequency waves in optics : control and investigation of their generation and evolution." Thesis, University of St Andrews, 2014. http://hdl.handle.net/10023/6532.
Kharazi, Alexandra. "Generation and molecular analysis of dominant negative alleles of anthrax lethal factor in Drosophila." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p1453196.
Title from first page of PDF file (viewed July 8, 2008). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 26).
Duvvury, Rolan Shawn. "Potential negative effects of wind turbines on the ear." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/44927.
Agee, Elisha R. "The relationship between second-generation antipsychotic medication adherence and negative symptoms in first-episode schizophrenia." Thesis, Pepperdine University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3716463.
Adherence to psychotropic medication is a critical aspect of treatment for the management of psychotic disorders. While the literature on the need for medication adherence is extensive, little research has explored the relationship between the negative symptoms of psychosis and medication adherence. Since negative symptoms are enduring, stable, and strongly correlated with poor outcome, it is vitally important for research to explore the role of negative symptoms in regards to adherence to psychotropic medication. Given its potentially significant consequences for treatment interventions, the purpose of this study was to contribute to the exceedingly limited body of research exploring the relationship between the negative symptoms seen in psychosis and medication adherence. This study examined if there is a relationship between the two and whether causality could be determined should a significant relationship exist between medication adherence and negative symptoms. This study utilized data previously collected at the UCLA Aftercare Research Program for studies examining aspects of outpatient psychiatric treatment. The 148 participants had a mean age of 22.5 years and were in the midst of their first psychotic episode upon study entry. Data from the Brief Psychiatric Rating Scale, Scale for the Assessment of Negative Symptoms, and medication adherence ratings were collected over the course of 12 months. Analyses revealed a significant relationship between the presence of negative symptoms and medication nonadherence. Analyses examining the temporal relationship between the two variables revealed that initial medication nonadherence was significantly associated with subsequent negative symptoms. However, once the impact of positive symptoms was controlled for as a potential mediating variable, the strength of the relationship between medication adherence and negative symptoms dissipated. After controlling for the role of reality distortion, the only negative symptoms significantly associated with medication nonadherence were the BPRS Negative Symptom Factor, BPRS Emotional Withdrawal, and BPRS Self-Neglect. Consequently, it appears that negative symptoms are more strongly associated with positive symptoms than with medication adherence. Replication of these findings and further research exploring the relationship between positive and negative symptoms as they relate to medication adherence is needed in order to improve treatment interventions focused on medication adherence.
Nordeman, Emil. "Generation of Doxycycline-Inducible Cell Lines Expressing Dominant-Negative DNA Polymerase γ and Mitochondrial Helicase Twinkle Variants." Thesis, Umeå universitet, Biomedicinsk laboratorievetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184253.
Books on the topic "Generation of negative triples":
Nosachev, Igor', and Dmitriy Romanov. Semiotics of mental illness. General psychopathology. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1027396.
Masleeva, Ol'ga, German Pachurin, Aleksandr Sevost'yanov, and Anatoliy Fitasov. Safe operation of power supply systems. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1029790.
Grafkina, Marina. Labor protection. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1173489.
Nikol'skaya, Irina. Information and communication technologies in special education. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/967120.
Fasora, Lukáš, Jan Čermin, Jana Čerminová, Jiří Hanuš, and Michaela Máliková. Sto tváří, sto příběhů. Brno: Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.m210-9605-2020.
Vougiouklis, P. Neural Generation of Textual Summaries from Knowledge Base Triples. IOS Press, Incorporated, 2020.
Vermeulen, Karla. Generation Disaster. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190061630.001.0001.
Cavanna, Andrea E. Carbamazepine, oxcarbazepine, and eslicarbazepine. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198791577.003.0003.
Miyamoto, Seiya, and Nobumi Miyake. Novel treatments and future directions. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198828761.003.0014.
Fuss, Sabine. The 1.5°C Target, Political Implications, and the Role of BECCS. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.585.
Book chapters on the topic "Generation of negative triples":
Hayashi, Akitoshi. "Li Negative Electrode." In Next Generation Batteries, 137–42. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6668-8_13.
Luo, Shengyue, and Wei Fang. "Potential Probability of Negative Triples in Knowledge Graph Embedding." In Neural Information Processing, 48–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04182-3_5.
Yamada, Yuki. "Concentrated Electrolytes for Lithium Metal Negative Electrodes." In Next Generation Batteries, 37–45. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6668-8_3.
Cornejo, M. Eugenia, Jesús Medina, and Eloísa Ramírez-Poussa. "Algebraic Structure of Adjoint Triples Generating a Weak Negation on the Unit Interval." In Rough Sets, 337–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52705-1_25.
Huang, Jiaqi, Yong Feng, Mingliang Zhou, and Baohua Qiang. "Relationship-Aware Hard Negative Generation in Deep Metric Learning." In Knowledge Science, Engineering and Management, 388–400. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55393-7_35.
Zelenov, Sergey, and Sophia Zelenova. "Automated Generation of Positive and Negative Tests for Parsers." In Formal Approaches to Software Testing, 187–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11759744_13.
Epstein, Daniel, and Ana L. C. Bazzan. "Distributed Coalition Structure Generation with Positive and Negative Externalities." In Progress in Artificial Intelligence, 408–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40669-0_35.
Wang, Senzhang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, and Jianxin Wang. "Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning." In Proceedings of the 2023 SIAM International Conference on Data Mining (SDM), 163–71. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2023. http://dx.doi.org/10.1137/1.9781611977653.ch19.
Mahapatra, Souvik, Narendra Parihar, Subhadeep Mukhopadhyay, and Nilesh Goel. "BTI Analysis Tool (BAT) Model Framework—Generation of Interface Traps." In Recent Advances in PMOS Negative Bias Temperature Instability, 59–80. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6120-4_4.
Mahapatra, Souvik, Narendra Parihar, Tarun Samadder, Nilotpal Choudhury, and Akshay Raj. "BTI Analysis Tool (BAT) Model Framework—Generation of Bulk Traps." In Recent Advances in PMOS Negative Bias Temperature Instability, 103–25. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6120-4_6.
Conference papers on the topic "Generation of negative triples":
Radovich, M., S. Clare, S. Clare, I. Pardo, B. Hancock, G. Sledge, C. Rufenbarger, et al. "Next-Generation Whole Transcriptome Sequencing of Triple-Negative Breast Tumors and Normal Tissues." In Abstracts: Thirty-Second Annual CTRC‐AACR San Antonio Breast Cancer Symposium‐‐ Dec 10‐13, 2009; San Antonio, TX. American Association for Cancer Research, 2009. http://dx.doi.org/10.1158/0008-5472.sabcs-09-6134.
Bansal, Iti, Sudhanshu Tiwari, and Carlos R. Rivero. "The Impact of Negative Triple Generation Strategies and Anomalies on Knowledge Graph Completion." In CIKM '20: The 29th ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3340531.3412023.
West, DC, DJ Hosfield, CG Mayne, MN Skor, SC Styke, CF Pierce, M. Kocherginsky, et al. "Abstract PD3-02: Second-generation selective glucocorticoid receptor modulators in triple-negative breast cancer." In Abstracts: Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium; December 8-12, 2015; San Antonio, TX. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1538-7445.sabcs15-pd3-02.
Radovich, Milan, Susan E. Clare, Ivanesa Pardo, Bradley A. Hancock, Nawal Kassem, George W. Sledge, Connie Rufenbarger, et al. "Abstract 2216: Next-generation whole transcriptome sequencing of triple-negative breast tumors and normal tissues." In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-2216.
Steele, Rebecca E., Simon S. McDade, and Paul B. Mullan. "Abstract 2429: Generation of a transcriptome of oncogenic mutant p53 in triple-negative breast cancer." In Proceedings: AACR Annual Meeting 2017; April 1-5, 2017; Washington, DC. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.am2017-2429.
Honig, A., T. Martens, S. Häusler, S. Buchholz, B. Rack, J. Wishhusen, J. Dietl, and J. Engel. "Antitumoral Activity of 3rd Generation Derivative Lobaplatin in In Vitro Models of Triple-Negative Breast Cancers." In Abstracts: Thirty-Second Annual CTRC‐AACR San Antonio Breast Cancer Symposium‐‐ Dec 10‐13, 2009; San Antonio, TX. American Association for Cancer Research, 2009. http://dx.doi.org/10.1158/0008-5472.sabcs-09-6115.
Radovich, M., SE Clare, GW Sledge, I. Pardo, T. Mathieson, N. Kassem, BA Hancock, et al. "Abstract PD01-08: Decoding the Transcriptional Landscape of Triple-Negative Breast Cancer Using Next-Generation Whole Transcriptome Sequencing." In Abstracts: Thirty-Third Annual CTRC‐AACR San Antonio Breast Cancer Symposium‐‐ Dec 8‐12, 2010; San Antonio, TX. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/0008-5472.sabcs10-pd01-08.
Shriwas, Pratik, Yanrong Qian, Xuan Wang, Dennis Roberts, Stephen Bergmeier, and Xiaozhuo Chen. "Abstract 2799: New-generation glucose transporter inhibitors targeting non-small cell lung cancer and triple-negative breast cancer." In Proceedings: AACR Annual Meeting 2018; April 14-18, 2018; Chicago, IL. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1538-7445.am2018-2799.
Lips, Esther H., Magali Michaut, Marlous L. Hoogstraat, Lennart Mulder, Nicolle Besselink, Marco J. Koudijs, Emile E. Voest, et al. "Abstract P3-06-21: Next generation sequencing to find predictors for chemotherapy response in triple negative breast cancer." In Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium; December 9-13, 2014; San Antonio, TX. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.sabcs14-p3-06-21.
Solzak, Jeffrey P., Rutuja Atale, and Milan Radovich. "Abstract 4403: Next-generation RNA sequencing identifies UHRF1 as a key regulatory protein in triple-negative breast cancer survival." In Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1538-7445.am2013-4403.
Reports on the topic "Generation of negative triples":
Molloway, Jamie N., and Dorrays El-Ashry. Downstream Signaling Mechanism Underlying MAPK-Induced Generation of the ERA-Negative Phenotype. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada410214.
Holloway, Jamie N. Downstream Signaling Mechanism Underlying MAPK-Induced Generation of the ER-Negative Phenotype. Fort Belvoir, VA: Defense Technical Information Center, July 2004. http://dx.doi.org/10.21236/ada430401.
Holloway, Jamie N. Downstream Signaling Mechanism Underlying MAPK-Induced Generation of the ER-Negative Phenotype. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada422979.
Mohammadian, Abolfazl, Ehsan Rahimi, Mohammadjavad Javadinasr, Ali Shamshiripour, Amir Davatgari, Afshin Allahyari, and Talon Brown. Analyzing the Impacts of a Successful Diffusion of Shared E-Scooters and Other Micromobility Devices and Efficient Management Strategies for Successful Operations in Illinois. Illinois Center for Transportation, May 2022. http://dx.doi.org/10.36501/0197-9191/22-006.
Oviedo, Daniel, Orlando Sabogal-Cardona, and Lynn Scholl. Ready to ride: security and transit-related determinants of ride-hailing adoption in Latin America. Inter-American Development Bank, February 2023. http://dx.doi.org/10.18235/0004656.
Suitner, Niels. Data set on the dissolution experiments available. OceanNets, March 2023. http://dx.doi.org/10.3289/oceannets_d5.1.
Marcos Morezuelas, Paloma. Gender and Renewable Energy: Wind, Solar, Geothermal and Hydroelectric Energy. Inter-American Development Bank, November 2014. http://dx.doi.org/10.18235/0003068.
Levy, Alberto. What Role Can Carbon Capture Technology Play in Reducing Future CO2 Emissions? Inter-American Development Bank, November 2016. http://dx.doi.org/10.18235/0009311.
Hidalgo Pérez, Manuel, Natalia Collado Van-Baumberghen, Jorge Galindo, and Ramon Mateo Escobar. The effects of the Spanish gas cap on prices, inflation, and consumption six months later. Esade, February 2023. http://dx.doi.org/10.56269/20230202/mhp.
Nguyen, Yen Thi Hai, Truc Ngoc Hoang Dang, Brian Buh, and Isabella Buber-Ennser. CORESIDING WITH PARENTS, SON PREFERENCE, AND WOMEN’S DESIRE FOR ADDITIONAL CHILDREN IN VIETNAM. Verlag der Österreichischen Akademie der Wissenschaften, September 2023. http://dx.doi.org/10.1553/0x003e7385.